Prof Joarder Kamruzzaman - Research

Research grants

2023-27  Agriculture Victoria, Department of Jobs, Precincts and Regions (DJPR) PhD support (A$135k)

  • Title: Sensing and traceability in horticulture

2023-24  Centre for New Energy Technologies (C4NET), Victorian Government (A$340k)

  • Title: Scenario Building for Enhanced System Plan

2020-2021 Soil CRC PhD support (A$99k):

  • Title: Next generation below ground sensor communication using seismic waves for smart soil applications

2020-2021 Telstra APR Internship Stipend (A$20k)

  • Title: Improve Telstra’s Cybersecurity Testing Capabilities and Footprint

2020-2021 Australian Defence Science Institute grant (A$20k)

  • Title: AI for Decision Making Initiative: Distribution-Aware Generalisation for Imbalanced Learning

2019-2020 Oceania Cyber Security Centre (A$80K):

  • Title: Spam email categorization using natural language processing and attention-embedded deep learning

2019-2021 High Performance Soil CRC, Australia (A$1.5M)

  • Title: Smart soil sensors

2019 Department of Jobs, Precincts and Regions (DJPR) - SummerTech LIVE Scholarships (A$9.0k)

  • Title: ATAP - Automatic Tool to Annotate and manage handwritten-text Picture database

2018-2020 CSIRO (Commonwealth Scientific and Industrial Research Organisation), Australia (A$25K)

  • Title: Robust mobile malware detection system using machine learning

2018-2020 CSIRO (Commonwealth Scientific and Industrial Research Organisation), Australia (A$25K)

  • Title: Enhancing security in random wireless network with the aid of friendly jammers

2018-2019 Oceania Cyber Security Centre (A$79.56K)

  • Title: Real time zero day ransomware attack detection

2018-2019 Oceania Cyber Security Centre (A$78.54K)

  • Title: A multi-layered approach to detecting malicious mobile advertising

2016-2018East Gippsland Water (logistics & in-kind support approx. A$25k)

  • Title: IoT-based intelligent real-time sewer monitoring system

2014-15  Department of Transport, Technology Voucher Program (A$61.8k)

  • Title: Load Optimization for Delivery

2011-2014 Linkage Projects Grant, Australian Research Council and Southern Health ($434,000)

  • Title: Improving Management Decisions in Mental Health Care Through Applications of Advanced Simulation Modelling

2012 Collier Charitable Fund ($2,698)

  • Title: XAircraft Quadcopter UAV Kit

2012-2013 Research Support Scheme, Faculty of Information Technology, Monash University ($8,000)

  • Title: Disaster Monitoring and Rescue Operations with Swarms of Aerial Mobile Sensors such as QuadCopters

2008 Collier Charitable Fund ($2,698)

  • Title: Wireless Long Range Video Link with Camera

2006 Small Grant Research Support Scheme, Gippsland Campus, Monash University ($15,000)

  • Title: Wild Dog Control using Wireless Sensor and Actor Network

2006-2007 Telstra Countrywide ($66,000)

  • Title: Innovative Multimedia Applications for 3G Mobile Networks in Remote Rural Gippsland Communities

2004 Monash Small Grants ($7,500)

  • Title: Clustering Technique for Analysis of Microarray Gene Expression Data

2003 Monash Small Grants ($8,500)

  • Title: Artificial Neural Network Techniques for Controller design

Postgraduate research supervisions

Current supervision

Student: Jannatul, F (PhD)

  • Thesis title: Identifying Fake News in Online Social Media

Student: Moshi, A (PhD)

  • Thesis title: Below Ground Sensor Communication using Seismic Waves for Smart Soil Applications

Student: Ur-Rehman, A (PhD)

  • Thesis title: Vulnerability Modelling and Mitigation Strategies for Hybrid Networks

Student: Chaalan, T (PhD)

  • Thesis title: The Path to Defence: A Roadmap to Characterising Data Poisoning Attacks

Student: Basri, R (PhD)

  • Thesis title: Evaluating the Trustworthiness of IoT and 6G Wireless Communication Networks to Prevent Cyberattacks

Completed PhD supervision

Student: Rasheed, M (PhD)

  • Thesis title: False Data Injection Attack Detection in Smart Grid

Student: Sharma, A (PhD)

  • Thesis title: Optimized Bandwidth Allocation for Internet of Things using Software Defined Networks

Student: Islam, M (PhD)

  • Thesis title: Monitoring Internet of Things Objects in Smart Environment

Student: Park, S (PhD)

  • Thesis title: Neural Malware Detection

Student: Giti, J (PhD)

  • Thesis title: Enhancing Security in Random Wireless Network with the Aid of Friendly Jammers

Student: E-Khoda, M (PhD)

  • Thesis title: A Robust Detection System for Mobile Malware

Student: Khraisat, A (PhD)

  • Thesis title: Intelligent Zero Day Intrusion Detection System

Student: Dinh, L (PhD)

  • Thesis title: Embedding Business Context into Big Data Analytics

Student: Chowdhury, A (PhD)

  • Thesis title: Intelligent Traffic Monitoring using Internet of Things

Student: Das, R

  • Thesis title: Opinion Formation Modelling in Online Social Networks (2018)

Student: Kaiser, S

  • Thesis title: Content Sharing using Smart Mobile Devices in Irregular Meeting Places (2018)

Student: Senthooran, I

  • Thesis title: Collaborative Simultaneous Localisation and Mapping for a Swarm of Flying Robots in an Indoor Environment (2017)

Student: Rashid, M

  • Thesis title: Behavioral pattern discovery from sensor data stream (2016)

Student: Nowsheen, N

  • Thesis title: Reliable data delivery protocols for underwater sensor networks, (2015)

Student: Hassan, R

  • Thesis title: Dynamic spectrum trading model for cognitive radio networks, (2013)

Student: Haider, A

  • Thesis title: Intelligent vertical handover management in heterogeneous wireless networks (2013)

Student: Pervin, S

  • Thesis title: QOS-aware query processing for Wireless Sensor Networks (2013)

Student: Alam, KH

  • Thesis title: An event detection framework for Wireless Sensor Networks (2013)

Student: Armaghani, F

  • Thesis title: Dynamic information-theoretic sensor selection schemes for target tracking applications (2013)

Student: Yaqub, F

  • Thesis title: A remote machine condition monitoring framework for intelligent fault diagnosis and prognosis (2012)

Student: Buiyan, M

  • Thesis title: Application reliability framework in wireless sensor networks (2012)

Student: Shahid, M

  • Thesis title: A new framework for dynamic spectrum access in cognitive radio networks (2012)

Student: Siddique, A

  • Thesis title: Voice quality framework for VoIP over WLANs (2011)

Student: Ahmed, S

  • Thesis title: Environment aware location service for mobile ad hoc networks

Student: Azad, A

  • Thesis title: Transmission policy for wireless sensor networks (2010)

Student: Imam, T

  • Thesis title: Frameworks for fast training of support vector machine on large scale data (2009)

Student: Bidargiddi, N

  • Thesis Title: Hybrid computational models for protein sequence analysis and secondary structure prediction (2006)

Student: Ahmad, I

  • Thesis title: New strategies for service continuity of QoS applications in communication networks (2006)

Student: Islam, F

  • Thesis title: Artificial neural network for parallel operation of power transformer (2005)

Completed masters supervision

Student: Buurman, B

  • Thesis title: Intelligent Sewer Blockage and Infiltration Detection System using IoT

Student: Senanayake, D. M.

  • Thesis title: Tracking of large crowds with a swarm of aerial robots (2016)

Student: Al-Mamun, M

  • Thesis title: Enhanced QoS centric backoff algorithm for Wireless Sensor Network (2013)

Student: Rabbani, G

  • Thesis title:Adaptive Convergence of WiMAX and WiFi for QoS Assurance (2009)

Student: Mathew, M

  • Thesis title:Mobile Tourist Identification Framework, (2009)

Publications

Edited books

M.R.H. Mondal, U Kose, V.B.S. Prasath, P. Podder, S. Bharati & J. Kamruzzaman Emerging Technologies for Combatting Pandemics – AI, IoMT, and Analytics, CRC Press (USA), 2022

J. Kamruzzaman, R. Begg, and  R. Sarker Artificial Neural Networks in Finance & Manufacturing, Idea Group Publishing (USA), 2006

R. Begg, J. Kamruzzaman, and R. Sarker ANNs in Healthcare: Potential & Challenges, Idea Group Publishing (USA), 2006

Book chapters

S Park, I Gondal, J Kamruzzaman, “Comparative Study on Machine Learning Methods to Detect Metamorphic Threats,” in Trust, Security and Privacy for Big Data, Edited by M. Alazab and M. Gupta, CRC Press, pp. 193-199, June 2022

A Khraisat, I Gondal, P Vamplew, J Kamruzzaman, “A Low-Level Hybrid Intrusion Detection System Based on Hardware Performance Counters,” in Trust, Security and Privacy for Big Data, Edited by M. Alazab and M. Gupta, CRC Press, pp. 175-192, June 2022

P. Podder, M.R.H Mondal, and J. Kamruzzaman, "Iris Feature Extraction using three Level Haar Wavelet Transform and Modified Local Binary Pattern," in Applications of Computational Intelligence in Multi-Disciplinary Research, edited by A. A. Elngar, R. Chowdhury, M. Elhoseny & V. E.  Balas, Academic Press, pg. 1-15, 2022.

A. Khraisat, I. Gondal, P. Vamplew and J. Kamruzzaman, "A Low-Level Hybrid Intrusion Detection System Based on Hardware Performance Counters," in Trust, Security and Privacy for Big Data (Ed.), CRC Press, pp. 174-192, 2021.

A. Chowdhury, G. Karmakar and J. Kamruzzaman, “The co-evolution of cloud and IoT applications: recent and future trends”, Handbook of Research on the IoT, Cloud Computing, and Wireless Network Optimization, Edited by S. Singh and R.M. Sharma,  IGI Global, New York, USA, pp. 213-234, 2019.

A. Chowdhury, G. Karmakar and J. Kamruzzaman, “Survey of recent cyber security attacks on robotic systems and their mitigation approaches”, Detecting and Mitigating Robotic Cyber Security Risks, Edited By R. Kumar, P. K. Pattnaik and P. Pandey, IGI Global, New York, USA, 284-299, 2017.

J. Kamruzzaman, AKM Azad, N.C. Karmakar, G.C. Karmakar and B. Srinivasan "Security and Privacy Issues in RFID System," in Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging, pp. 16-40, 2012, Information Science Reference (USA).

AKM Azad, J. Kamruzzaman and N.C. Karmakar, "Wireless Sensor Network Protocols Applicable to RFID System," in Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging, pp 251-284, 2012, Information Science Reference (USA).

G.C. Karmakar, L.S. Dooley, N.C. Karmakar and J. Kamruzzaman, "Object analysis with visual sensors and RFID," in Chipless and Conventional Radio Frequency Identification: Systems for Ubiquitous Tagging, pp. 234-250, 2012, Information Science Reference (USA).

Md. G. Rabbani, J. Kamruzzaman, I. Gondal, I. Ahmad and Md R. Hassan, "Dynamic Resource Allocation for Improved QoS in WiMAX/WiFi Integration," in Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, edited by Roger Lee, pp. 141-156, 2011, Springer.

J. Kamruzzaman, "Wireless Security and Privacy Issues," in Mobile Multimedia Communication: Concept, Applications & Challenges, pp. 237-247, 2007, Information Science Reference (USA).

J. Kamruzzaman, R. Sarker and R. Begg, "Artificial Neural Networks: Applications in Finance and Manufacturing," in Artificial Neural Networks in Finance & Manufacturing, pp. 1-27, 2006, Idea Group Publishing (USA).

J. Kamruzzaman, R. Sarker and R. Begg, "Modelling and Prediction of Foreign Currency Exchange Markets," in Artificial Neural Networks in Finance and Manufacturing, pp. 139-150, 2006, Idea Group Publishing (USA).

J. Kamruzzaman, R. Begg and R. Sarker, "Overview of Artificial Neural Networks and Their Applications in Healthcare," in ANNs in Heathcare: Potential & Challenges, pp. 1-19, 2006, Idea Group Publishing (USA).

R. Begg, J. Kamruzzaman and R. Sarker, "Movement Pattern Recognition using Neural Networks," in ANNs in Heathcare: Potential & Challenges, pp. 217-238, 2006, Idea Group Publishing (USA).

Refereed journal articles

S. Dong, Y. Xia, and J. Kamruzzaman, "Quantum Particle Swarm Optimization for Task Offloading in Mobile Edge Computing," IEEE Trans Industrial Informatics (in press) (IF 11.648, JCR-Q1) 2023

Sohel Rana, B. M. Rubaiyat Hossain Mondal and Joarder Kamruzzaman,"RBFK cipher: a randomized butterfly architecture-based lightweight block cipher for IoT devices in the edge computing environment," Springer Cybersecurity Journal (JCR-Q2, 2023 in press)

S. Kaisar, J. Kamruzzaman, G. Karmakar and M.M. Rashid, "Decentralized Content Sharing in Mobile Ad-hoc Networks: A Survey,” Digital Communications and Networks (in press) (IF 6.797, JCR-Q1) 2022

M. Rashed, J. Kamruzzaman, I. Gondal and S. Islam, "False Data Detection in a Clustered Smart Grid using Unscented Kalman Filter," IEEE Access, vol. 10, pp. 78548-78556, 2022 (IF 3.367, JCR-Q1)

M.M. Rashid, J. Kamruzzaman, M.M. Hassan, T. Imam, S. Wibowoa, S. Gordon, and G. Fortino, "Adversarial Training for Deep Learning-based Cyberattack Detection in IoT-based Smart City Applications," Computers & Security (IF 5.105, JCR-Q1) 2022

S.M. Aziz, D.H. Hoskin, D.M. Pham, and J. Kamruzzaman, "Remote reconfiguration of FPGA-based wireless sensor nodes for flexible Internet of Things," Computers and Electrical Engineering, vol. 100, 107935, 2022, (IF 4.152, JCR-Q1)

R. Das, G. Karmakar, J. Kamruzzaman, and A. Chowdhury, "Measuring Trustworthiness of Smart Meters Leveraging Household Energy Consumption Profile," IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 3, no. 2, pp. 289-297, 2022, doi: 10.1109/JESTIE.2022.3144966

M.M. Rashid, J. Kamruzzaman, T. Imam, S. Wibowo & S. Gordon, "A Tree-based Stacking Ensemble Technique with Feature Selection for Network Intrusion Detection," Applied Intelligence, 2022. (IF 5.019, JCR-Q2)

A. Ur-Rehman, I, Gondal, J. Kamruzzaman, and A. Jolfaei, "Sensitivity Analysis for Vulnerability Mitigation in Hybrid Networks”, Electronics 11 (2), 238, 2022. ((IF 2.690, JCR-Q2)

M.E Khoda, J. Kamruzzaman, I. Gondal, T. Imam and A. Rahman, "Malware Detection in Edge Devices with Fuzzy Oversampling and Dynamic Class Weighting," Applied Soft Computing, vol. 112, paper#107783, 2021 (IF 6.725, JCR-Q1)

K.Y. Islam, I. Ahmad, D. Habibi, M.I.A. Zahed, J. Kamruzzaman, "Green Underwater Wireless Communications using Hybrid Optical-Acoustic Technologies," IEEE Access, vol. 9, 2021 (IF 3.745, JCR-Q1)

I.Nowrin, MRH Mondal, R. Islam and J. Kamruzzaman, "A Novel OFDM Format and a Machine Learning Based Dimming Control for LiFi," Electronics, vol. 10, paper#2103, 2021 (IF 2.397, SCR-Q2, CiteScore-Q2).

M. Rashed, I. Gondal, J. Kamruzzaman and S. Islam, "State Estimation within IED Based Smart Grid Using Kalman Estimates," Electronic, vol. 10, paper#1783, 2021 (IF 2.397, SCR-Q2, CiteScore-Q2).

G. Karmakar, A. Chowdhury, R. Das, J. Kamruzzaman and S. Islam, "Assessing Trust Level of a Driverless Car using Deep Learning," IEEE Transactions on Intelligent Transportation Systems, 2021 (IF 6.319, JCR-Q1)

R. Das, G. Karmakar and J. Kamruzzaman, "How much I can Rely on You: Measuring Trustworthiness of a Twitter User," IEEE Transactions on Dependable and Secure Computing, vol. 18, n0. 2, pp. 949-966, 2021 (IF 6.864, JCR-Q1, CORE A).

A. Chowdhury, G. Karmakar, J. Kamruzzaman, A. Jolfaei and R. Das, "Attacks on Self-Driving Cars and Their Countermeasures: A Survey," IEEE Access, vol. 8, pp. 207308-207342, 2020. (IF 3.745, JCR-Q1)

A. Chowdhury, G. Karmakar, J. Kamruzzaman and S. Islam, "Trustworthiness of Self-Driving Vehicles for Intelligent Transportation Systems in Industry Applications," IEEE Transactions on Industrial Informatics, vol. 17, no. 2, pp. 961-970, 2021. (IF 9.112, JCR-Q1, ERA A).

M.M. Islam, G. Karmakar, J. Kamruzzaman and M. Murshed,"A Robust Forgery Detection Method for Copy–Move and Splicing Attacks in Images,"  Electronics, vol. 9, paper no. 9, pp. 1-22, 2020. (IF 2.412, JCR-Q2)

A. Chowdhury, G. Karmakar, J. Kamruzzaman and I. Gondal, "A smart priority based traffic control system for emergency vehicles," IEEE Sensors Journal (in press)(IF 3.780, JCR-Q1)

M.M. Rashid, J. Kamruzzaman, M.M. Mehedi, T. Imam and S. Gordon, "Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques," International J. of Environmental Research and Public Health, vol. 17, paper no. 9347, pp. 1-21, 2020; doi:10.3390/ijerph17249347 (IF 2.849, JCR-Q2)

B. Buurman, J. Kamruzzaman, G. Karmakar and S. Islam, "Low-Power Wide-Area Networks: Design Goals, Architecture, Suitability to Use Cases and Research Challenges," IEEE Access, vol. 8, pp. 17179-17220, 2020. (IF 3.745, JCR-Q1)

M.M. Rashid, J. Kamruzzaman, M.M. Hassan, S.S. Shafin and Z.A. Bhuiyan, "A Survey on Behavioral Pattern Mining from Sensor Data in Internet of Things," IEEE Access, vol. 8, pp. 33318 - 33341, 2020. (IF 3.745, JCR-Q1)

G. Karmakar, R. Das and J. Kamruzzaman, "IoT Sensor Numerical Data Trust Model using Temporal Correlation," IEEE Journal of Internet of Things, vol. 7, no. 4, pp. 2573 - 2581, 2020 (IF 9.936, JCR-Q1).

M.E. Khoda, T. Imam, J. Kamruzzaman, I. Gondal, and A. Rahman, “Robust Malware Defense in Industrial IoT Applications using Machine Learning with Selective Adversarial Samples,” IEEE Transactions on Industry Applications, vol. 56, no. 4, pp. 4415-4424, 2020 (IF 3.488, JCR-Q1, ERA A).

J. E. Giti, A. Sakzad, B. Srinivasan, J. Kamruzzaman and R. Gaire, "Secrecy Capacity against Adaptive Eavesdroppers in a Random Wireless Network using Friendly Jammers and Protected Zone," Journal of Network and Computer Applications, vol. 165, paper no. 102698, pp. 1-11, 2020. (IF 5.273, JCR-Q1, CORE A).

L.N. Dinh, G. Karmakar and J. Kamruzzaman, "A Survey on Context Awareness in Big Data Analytics for Business Applications", Springer Journal Knowledge and Information Systems (KAIS), vol. 62, pp. 3387–3415, 2020 (IF 2.937, JCR-Q1)

A. Ur-Rehman, I. Gondal, J. Kamruzzaman and A. Jolfaei, "Vulnerability modelling for hybrid industrial control system networks," Journal of Grid Computing, vol. 18, pp. 863–878, July 2020. (IF 2.852, JCR-Q1, CORE B).

A. Khraisat, I. Gondal, P. Vamplew, J. Kamruzzaman, A. Alazab, "Hybrid intrusion detection system based on the stacking ensemble of c5 decision tree classifier and one class support vector machine," Electronics, vol. 9, no. 1, pp. 173-190, 2020. (IF 2.412, JCR-Q2)

A. Khraisat, I. Gondal, P. Vamplew, J. Kamruzzaman, and A. Alazab, "A Novel Ensemble of Hybrid Intrusion Detection Systems for Detecting Internet of Things Attacks," Electronics, vol. 8, no.11, pp. 1210, 2019. (IF 2.412)

S. Kaisar, J. Kamruzzaman, and G. Karmakar, "A Dynamic Content Distribution Scheme for Decentralized Sharing in Tourist Hotspots," Elsevier Journal of Network & Computer Applications, vol. 129, no. 3, pp. 9-24 (IF 3.991, JCR-Q1, CORE A).

J. Kamruzzaman, G. Wang, G. Karmakar, I. Ahmad and MZA Bhuiyan, “Acoustic sensor networks in the Internet of Things applications,” Future Generation Computer Systems, vol. 86, pp. 1167-1169, 2018 (5-yr IF 4.968, JCR-Q1, CORE A).

G. Karmakar, J. Kamruzzaman and N. Nowsheen, “An efficient data delivery mechanism for AUV-based Ad hoc UASNs,” Future Generation Computer Systems, vol. 86, pp. 1193-1208, 2018 (5-yr IF 4.968, JCR-Q1,CORE A).

R. Das, J. Kamruzzaman and G. Karmakar, “Modelling majority and expert influences on opinion formation in online social networks,” Springer Journal World Wide Web, vol. 21. no. 3, pp. 663-685 (IF 1.829, JCR (2015)-Q1, CORE A).

I. Senthooran, M. Murshed, J.C. Barca, J. Kamruzzaman and H. Chung, "An efficient RANSAC hypothesis evaluation using sufficient statistics for RGB-D pose estimation," Springer Journal Autonomous Robots (accepted 2018). (IF 2.706, JCR-Q2, CORE B)

R. Hassan, G. Karmakar, J. Kamruzzaman and B. Srinivasan, “Exclusive use spectrum access trading models in cognitive radio networks: A survey," IEEE Communications Surveys & Tutorials, vol. 19, no. 4, pp. 2192-2231, 2017 (IF 20.23, JCR-Q1).

S. Kaiser, J. Kamruzzaman, G. Karmakar and I. Gondal, “Decentralized content sharing among tourists in visiting hotspots,” Elsevier Journal of Network & Computer Applications, vol. 79, pp. 25-40, 2017. (IF 2.229, CORE rank A). doi.org/10.1016/j.jnca.2016.11.010

M.M. Rashid, I. Gondal and J. Kamruzzaman, “Dependable large scale behavioral patterns mining from sensor data using Hadoop platform,” Elsevier Journal of Information Sciences, vol. 379, pp. 128-145, 2017. (IF 3.863, CORE rank B). doi.org/10.1016/j.ins.2016.06.036

N. Nowsheen, G. Karmakar, and J. Kamruzzaman, "PRADD: A Path Reliability-Aware Data Delivery Protocol for Underwater Acoustic Sensor Networks," Elsevier Journal of Network & Computer Applications, vol. 75, pp. 385-397, 2016. (IF 2.229, CORE rank A). doi.org/10.1016/j.jnca.2015.11.021

M. Senanayake, I. Senthooran; J.C. Barca, H. Chung; J. Kamruzzaman and M. Murshed, "Search and Tracking Algorithms for Swarms of Robots: A Survey," Elsevier Robotics and Autonomous Systems, vol. 75, part-B, pp. 422-434, Jan 2016. (IF 1.583, CORE A). doi.org/10.1016/j.robot.2015.08.010

M.M. Rashid, I. Gondal and J. Kamruzzaman, “A data mining approach for machine fault diagnosis based on associated frequency patterns,” Applied Intelligence, Springer, vol. 45, no. 3, pp. 638-651, 2016. (IF 1.215, CORE B). http://link.springer.com/article/10.1007/s10489-016-0781-3

M.I.B. Shahid, J. Kamruzzaman and R. Hassan, “Modelling multiuser spectrum allocation for cognitive radio networks,” Journal of Computers and Electrical Engineering, Elsevier Ltd, Netherlands, vol. 52, pp. 266-283, 2016 (IF 0.965, CORE B). doi.org/10.1016/j.compeleceng.2015.10.006

M.M. Rashid, I. Gondal and J. Kamruzzaman, “Share-frequent sensor patterns mining from wireless sensor network data,” IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 12, 2015. (IF 2.173, CORE A*). DOI: 10.1109/TPDS.2014.2377713

M.M. Rashid, I. Gondal and J. Kamruzzaman, “Mining associated patterns from wireless Sensor Networks,” IEEE Transactions on Computers, vol. 64, no. 7, pp. 1998-2011, 2015. (IF 1.473, CORE A*). DOI: 10.1109/TC.2014.2349515

M.R. Hassan, G. Karmakar and J. Kamruzzaman, “A comprehensive spectrum trading scheme based on market competition, reputation and buyer specific requirements,” Elsevier Computer Networks, vol.84, pp. 17-31, 2015. (IF 1.256, CORE A). doi.org/10.1016/j.comnet.2015.04.004

H. Lu, and J. Kamruzzaman. "A new convergence rate estimation of general artificial immune algorithm." Journal of Intelligent and Fuzzy Systems, vol. 28, no. 6, pp. 2793-2800, 2015. (IF 1.812)

M.R. Hassan, I.U. Haque, E. Ramadan, J. Kamruzzaman and A.F. Ahmed, “Distinctive phenotype identification for breast cancer genotypes among hereditary breast cancer mutated genes,” Current Bioinformatics, vol. 10, no .1, pp. 5-15, 2015. (IF 1.045).

Kh M. Alam, J. Kamruzzaman, G. Karmakar and M. Murshed, “Dynamic adjustment of sensing range for event coverage in wireless sensor networks,” Elsevier Journal of Network & Computer Applications, vol. 46, pp. 139- 153, 2014. (IF 2.229, CORE A). doi.org/10.1016/j.jnca.2014.07.025

F.R. Armaghani, I. Gondal, J. Kamruzzaman and D. Green, “Sensor Selection for Tracking Multiple Groups of Targets,” Elsevier Journal of Network & Computer Applications, vol. 46, pp. 36-47, 2014. (IF 2.229, CORE A). doi.org/10.1016/j.jnca.2014.07.023

R. Hassan, G. Karmakar and J. Kamruzzaman, "Reputation and user requirement based price modeling for dynamic spectrum access,” IEEE Transactions on Mobile computing, vol.13, pp. 2128-2140, 2014. (IF 3.071, CORE A*). DOI: 10.1109/TMC.2013.78

M.R. Hassan, I.U. Haque, E. Ramadan, J. Kamruzzaman and A.F. Ahmed, "Distinctive phenotype identification for breast cancer genotypes among hereditary breast cancer mutated genes," Current Bioinformatics (IF 2.01, accepted October, 2013).

Lu Hong, J. Kamruzzaman, "Convergence of Elitist Clonal Selection Algorithm Based on Martingale Theory," Engineering Letters, Vol. 4, no. 1, 2013.

Hassan, G. Karmakar and J. Kamruzzaman, "Reputation and user requirement based price modeling for dynamic spectrum access," IEEE Transaction on Mobile computing (in press), 2013. (5-yr IF 3.071, former ERA rank A*). (Available online since Nov., 2013, DOI: 10.1109/TMC.2013.78)

A.R. Siddique and J. Kamruzzaman, "An analytical approach for voice capacity estimation over WiFi network using ITU-T E-model," IEEE Transaction on Multimedia (in press), 2013. (5-yr IF 2.158, former ERA rank A). (Available online since Nov., 2013, DOI: 10.1109/TMM.2013.2291212)

M.F. Yaqub, A. Haider, I. Gondal and J. Kamruzzaman, "Self and static interference mitigation scheme for coexisting wireless networks," Journal of Computers and Electrical Engineering (in press), 2013. (IF 0.970, former ERA rank B). (available online since 11 may 2013, DOI: http://dx.doi.org/10.1016/j.compeleceng.2013.04.007)

A. Haider, I. Gondal and J. Kamruzzaman, "Social-connectivity-aware vertical handover for heterogeneous wireless networks," Journal of Network and Computer Applications, vol. 36, no. 4, pp. 1131-1139, 2013. (IF 1.467, former ERA rank A).

R. Hassan, K. Ramamohanarao, J. Kamruzzaman, M. Rahman and M Hossain, "A HMM-based adaptive fuzzy inference system for stock market forecasting," Neurocomputing, vol. 104, pp. 10-25, 2013. (IF 1.634, 5-yr IF 1.811, former ERA rank B).

M.F. Yaqub, I. Gondal, J, Kamruzzaman, and K.A. Loparo," Abrasion modeling of multiple point defect dynamics for machine condition monitoring," IEEE Transaction on Reliability, vol. 62, no. 1, pp. 171-182,2013. (IF 2.293, 5-yr IF 2.067, former ERA rank A).

M.F. Yaqub, I. Gondal and J, Kamruzzaman,"An adaptive self-configuration scheme for severity invariant machine fault diagnosis," IEEE Transaction on Reliability, vol. 62, no. 1, pp. 116-126,2013. (IF 2.293, 5-yr IF 2.067, former ERA rank A).

M.F. Yaqub, I. Gondal and J. Kamruzzaman,"Multi-step support vector regression and optimally parameterized wavelet packet transform for machine residual life prediction," Journal of Vibration and Control, vol. 19, no. 7, pp. 963-974, 2013. (IF 1.966, 5-yr IF 1.736, former ERA rank B).

M. F. Yaqub, I. Gondal and J. Kamruzzaman, "Inchoate fault detection framework: adaptive selection of wavelet nodes and cumulant orders," IEEE Transactions on Instrumentation & Measurement, vol. 61, no. 3, pp. 685-695, 2012. (IF1.357, former ERA rank B).

R. Hassan, B. Nath, M. Kirley and J. Kamruzzaman, "A hybrid of multiobjective evolutionary algorithm and HMM-Fuzzy model for time series prediction," Neurocomputing, vol. 81, no. 1, pp. 1-11, 2012 (IF 1.634, 5-yr IF 1.811, former ERA rank B).

I. Ahmad, J. Kamruzzaman and D. Habibi, "Application of artificial intelligence to improve Quality of Service in computer networks," Neural Computing and Applications, Springer, vol. 21, no. 1, pp. 81-90, 2012 (IF 1.168, 5-yr IF1.074, former ERA rank B).

M.F. Yaqub, I. Gondal and J, Kamruzzaman,"Machine health monitoring based on stationary wavelet transform and fourth-order cumulants," Australian Journal of Electrical & Electronics Engineering, vol. 9, no. 1, pp. 55-64, 2012.

AKM Azad and J. Kamruzzaman, "Energy balanced transmission policies for wireless sensor networks," IEEE Transaction on Mobile Computing,vol. 10, no. 7, pp. 927-940, 2011. (5-yr IF 3.071, former ERA rank A*).

M.F. Yaqub, I. Gondal and J. Kamruzzaman, "Severity invariant feature selection for machine health monitoring," International Review of Electrical Engineering, vol. 6, no. 1, pp. 238-248, 2011.

S. Ahmed, G. C. Karmakar and J. Kamruzzaman, "An environment-aware mobility model for wireless ad hoc network," Computer Networks, Elsevier Ltd, Netherlands, vol. 54, no.9, pp. 1470-89, 2010. (5-yrIF 1.589, former ERA rank A).

P. Bidargaddi, M. Chetty and J. Kamruzzaman, "Combining segmental semi-Markov models with neural networks for protein secondary structure prediction," Neurocomputing, Elsevier, vol. 72, no. 16-18, pp. 3943-3950, 2009. (5-yrIF 1.595, former ERA rank B).

Y. Arafat, J. Kamruzzaman, G. C. Karmakar, J. Fernandez-Recio, "Predicting protein-protein interfaces as clusters of optimal docking area points," International Journal of Data Mining and Bioinformatics, InderScience Publishers, Switzerland, vol. 3, no. 1, pp. 55-67, 2009. (5-yrIF 0.640).

I. Ahmad, J. Kamruzzaman and D. Habibi, "Rerouting in advance for preempted IR Calls in QoS-enabled networks," Computer Communications,Elsevier, vol. 31, no. 17, pp. 3922-3928, 2008. (IF 1.079, 5-yr IF 1.227).

P. Bidargaddi, M. Chetty and J. Kamruzzaman, "Hidden Markov models incorporating fuzzy measures and integrals for protein sequence identification and alignment," Genomics Proteomics & Bioinformatics, Elsevier, vol. 6, no.2, pp. 98-110, 2008.

I. Ahmad and J. Kamruzzaman, "Preemption-aware instantaneous request call routing for networks with book-ahead reservation," IEEE Transaction on Multimedia, USA, vol. 9, no.7, pp. 1456-1465, 2007. (5-yrIF2.146, former ERA rank A).

I. Ahmad and J. Kamruzzaman, "Preemption policy in QoS-enabled networks: a customer centric approach," Journal of Research and Practice in Information Technology, Australia, vol. 39, no.1, pp. 61-79, 2007. (5-yrIF0.752).

J. Kamruzzaman and R. Begg, "Support vector machines and other pattern recognition approaches to the diagnosis of cerebral palsy gait," IEEE Transaction on Biomedical Eng., vol. 53, no. 12, pp.2479-2490, 2006. (5-yrIF2.597, former ERA rank A*).

I. Ahmad and J. Kamruzzaman, "Book-ahead call routing for flexible lifetime," IEEE Communications Letters, vol. 10, no. 6, pp. 510-512, 2006. (5-yrIF1.234, former ERA rank A).

N.P. Bidargaddi, M. Chetty and J. Kamruzzaman,"Fuzzy measures and integrals in profile hidden Markov models for protein sequence analysis, Journal of Intelligent and Fuzzy Systems, vol 17, issue 6, IOS Press, The Netherlands, pp. 541-556, 2006. (5-yr IF 0.864)

I. Ahmad, J. Kamruzzaman and S. Aswathanarayaniah, "A dynamic approach to reduce preemption in book-ahead reservation in QoS-enabled networks," Computer Communications, vol. 29, no. 9, pp. 1443-1457, 2006. (IF 1.067).

R. Begg and J. Kamruzzaman, "Neural networks for detection and classification of walking pattern changes due to ageing," Aus. Phy. and Eng. Sci. in Med., vol. 29, no. 2, pp. 188-195. ACPSEM, Australia, 2006. (Impact Factor 0.561).

R. Begg and J. Kamruzzaman, "A machine learning approach for automated recognition of movement patterns using basic, kinetic and kinematic gait data," Journal of Biomechanics, vol. 38, pp. 401-408, 2005. (5-yrIF3.023, former ERA rank A*).

F. Islam, J. Kamruzzaman, and G. Lu,"Improved ANN based tap-changer controller using modified Cascade-Correlation algorithm," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol 9, issue 3, Fuji Technology Press Ltd, Tokyo Japan, pp. 226-234, 2005.

J. Kamruzzaman and R. Sarker, "ANN based forecasting of foreign currency exchange rates," Neural Information Processing - Letters and Review, vol. 3, no.2, pp. 49-58, KAIST Press, Korea, 2004. (IF 0.561).

J. Kamruzzaman and R.A. Sarker, R.A.,"Application of support vector machine to forex monitoring," IEEJ Transactions on Electronics, Information and Systems, vol. 124, issue 10, Denki Gakkai, Japan, pp. 1944-1951, 2004. (IF 0.350).

R. Sarker, J. Kamruzzaman and C. Newton, "Evolutionary Optimization (EvOpt): A Brief Review and Analysis," International Journal of Computational Intelligence and Applications, vol. 3, no. 4, pp1-20. World Scientific, Singapore, 2003. (former ERA rank A).

J. Kamruzzaman and R. Sarker, "Comparing ANN based models with ARIMA for prediction of forex rates," ASOR Bulletin, Australia, vol. 22, no. 2, pp. 2-11, 2003.

J. Kamruzzaman, "An activation function to accelerate backpropagation Learning," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E85-A, no. 10, pp. 2373-2376. IEICE, Japan, 2002.

P.K. Saha, M. Shoib and J. Kamruzzaman, "Development of a neural network based integrated control system of 120 Ton/hr capacity boiler," Journal of Computers and Electrical Engineering, vol. 24, no. 6, pp. 423-440, Elsevier Ltd, Netherlands, 1998. (IF 0.837).

J. Kamruzzaman and S.M. Aziz, "A neural network based character recognition system using double backpropagation," Malaysian Journal of Computer Science, vol. 11, no. 1, pp. 58-64, UM Press, Malaysia, 1998.

P.K. Saha, M. Shoib and J. Kamruzzaman, "A new approach to control an industrial boiler," Journal of Electrical Engineering, IEB, Bangladesh, vol. EE25, no. I & II, pp. 1-6., 1997.

M.Z. Rahman, S.M Kabir & J. Kamruzzaman, "A simple approach on developing analogue neural network," Journal of Electrical Engineering, IEB, Bangladesh, vol. EE24, no. I & II, pp. 69-74, 1996.

Y. Kumagai, J. Kamruzzaman and H. Hikita, "Mathematical formulation and reduction of cross talk in associative memory," Journal of Artificial Neural Networks, vol. 2(1&2), pp. 55-79, 1995.

Y. Kumagai, J. Kamruzzaman and H. Hikita, " Performance formulation and evaluation of associative memory extended to higher order," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E77-A, no. 4, pp. 736-741. IEICE, Japan, 1994.

J. Kamruzzaman, Y. Kumagai and H. Hikita, " Generalization ability of extended cascaded artificial neural network architecture," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E76-A, no. 10, pp. 1877-1883. IEICE, Japan, 1993.

J. Kamruzzaman, Y. Kumagai and H. Hikita, "Comparison of convergence behavior and generalization ability in Backpropagation learning with linear and sigmoid output units," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E76-A, no. 6, pp. 1035-1042. IEICE, Japan, 1993.

J. Kamruzzaman, Y. Kumagai and H. Hikita, "Robust performance using cascaded artificial neural network architecture," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E76-A, no. 6, pp. 1023-1030. IEICE, Japan, 1993.

K. Ito, M. Hamamoto, J. Kamruzzaman and Y. Kumagai, "Invariant object recognition by artificial neural network using Fahlman and Lebiere's learning algorithm," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E76-A, no. 7, pp. 1267-1272. IEICE, Japan, 1993.

M. Hamamoto, J. Kamruzzaman, Y. Kumagai and H. Hikita, "Incremental learning and generalization ability of artificial neural network trained by Fahlman and Lebiere's learning algorithm," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E76-A, no. 2, pp. 242-247. IEICE, Japan, 1993.

M. Hamamoto, J. Kamruzzaman, Y. Kumagai and H. Hikita, "Generalization ability of feedforward neural network trained by Fahlman and Lebiere's learning algorithm," IEICE Trans. on Fund. of Elec., Comm. & Compt. Sciences, vol. E75-A, no. 11, pp. 1597-1601. IEICE, Japan, 1992.

Refereed conference papers (published in full in the proceedings)

J. Ferdush, J. Kamruzzaman, G. Karmakar, I. Gondal and R. Das, "Identification of Fake News: A Semantic Driven Technique for Transfer Domain," 29th International Conference on Neural Information Processing, ICONIP'2022 (in press), Nov. 22-26, 2022, IIT Indore, India

A.Ur-Rehman, J. Kamruzzaman, I. Gondal and A. Jolfaei, "Fuzzy-Based Operational Resilience Modelling," 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA), October 13-16, 2022, Shenzhen, China. (CORE A).

I.U. Haq, P. Black, I. Gondal, J. Kamruzzaman, P. Watters, and A.S.M. Kayes, "Spam Email Categorization with NLP and using Federated Deep Learning," 18th International Conference on Advanced Data Mining and Applications (ADMA 2022), Brisbane, Australia, 30 Nov- 2Dec, 2022 (in press) (CORE B)

A.Ur-Rehman, J. Kamruzzaman, I. Gondal and A. Jolfaei, "Cyber Resilience Modelling for the Operations of Hybrid Network," IEEE Joint Conferences DASC/PiCOM/CBDCom/CyberSciTech 2022, Calabria, Italy.

M. Rashed, J. Kamruzzaman, I. Gondal & S. Islam, "Vulnerability Assessment framework for a Smart Grid," IEEE Global Power, Energy and Communication Conference (GPECOM2022), Cappadocia, Turkey, June 2022.

R. Welandage, G. Chattopadhyay, G. Kahandawa, J. Kamruzzaman and L. Zhang, "Failure analyses of Slurry Pump assets in refinery for reduction of risks and costs," 3rd Intl. conf. on Maintenance & Intell. Asset Management, ICMAIM 2022, 13-15 Dec., Gujarat, India.

A. Chowdhury, S. Kaisar, M.M. Rashid, S.S. Shafin & J. Kamruzzaman, "Churn Prediction in Telecom Industry using Machine Learning Ensembles with Class Balancing," 8th IEEE Conference on Computer Science and Data Engineering (CSDE), Brisbane, Australia, December 2021.

M. Rashed, I. Gondal, J. Kamruzzaman and S. Islam, "Assessing Reliability of Smart Grid Against Cyberattacks using Stability Index," 2021 Australasian Universities Power Engineering Conference (AUPEC 2021), Perth, Australia, 26–30 September 2021

M. Khoda, J. Kamruzzaman, I. Gondal, T. Imam and A. Rahman, "Mobile malware detection with imbalanced data using a novel synthetic oversampling strategy and deep learning," 16th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2020) (CORE B)

Asaduzzaman, J. Kamruzzaman and G. Karmakar, "Cyber Threat Intelligence for Zero-day Attacks from Dark and Surface Web using Machine Learning," 36th International Business Information Management Association (IBIMA) Conference (CORE B), 4-5 November 2020 Granada, Spain.

P. Black, A. Sohail, I. Gondal, J. Kamruzzaman and P. Watters, "API Based Discrimination of Ransomware and Benign Cryptographic Programs," in Proc. 27th International Conference on Neural Information Processing (ICONIP), Nov. 18-22, 2020. (CORE A).

J. E. Giti, A. Sakzad, B. Srinivasan, J. Kamruzzaman and R. Gaire, 'Friendly jammer against an adaptive eavesdropper in a relay-aided network," 16th International conference on Wireless Communications & Mobile Computing (IWCMC 2020) (CORE B).

G. Karmakar, G. Chattopadhyay, J. Kamruzzaman, S. Islam, and R. Pai, "Internet of Things for Asset Management: Data Analytics and Security," International Conference on Maintenance and Intelligent Asset Management, Bangalore, India, 2020.

M.M. Rashid, J. Kamruzzaman, S.S. Shafin and S. Wasimi, "A Distributed Framework for Discovering Associated Patterns from Sensor Data in Industry Applications," International Conference on Maintenance and Intelligent Asset Management, Bangalore, India, 2020.

M.M. Rashid, J. Kamruzzaman, T. Imam, S. Kaisar, and M.J. Alam, “Cyber Attacks Detection from Smart City Applications Using Artificial Neural Network”, 7thIEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE 2020), 16-18 December, 2020, Gold Coast, Australia.

M.M. Rashid, J. Kamruzzaman, Mohiuddin Ahmed, Nahina Islam, Santoso Webowo and Steve Gordon, “Performance Enhancement of Intrusion detection System Using Bagging Ensemble Technique with Feature Selection”, 7th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE 2020), 16-18 December, 2020, Gold Coast, Australia.

S. Park, I. Gondal, J. Kamruzzaman and J. Oliver, “Instruction cognitive one-shot malware outbreak detection,” in Proc. 26th International Conference on Neural Information Processing (ICONIP), pp. 769-778, Sydney, Dec. 12-15, 2019. (CORE A).

M.E. Khoda, T. Imam, J. Kamruzzaman, I. Gondal, A. Rahman, “Selective adversarial learning for mobile malware,” in Proc. 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 787-792, 2019, 5-8 Aug. 2019, New Zealand. (CORE A).

A. Chowdhury, G. Karmakar and J. Kamruzzaman, “Trusted autonomous vehicle: measuring trust using on-board unit data,” in Proc. 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 787-792, 2019, 5-8 Aug. 2019, New Zealand. (CORE A).

S. Park, I. Gondal, J. Kamruzzaman and J. Oliver, “One-shot malware outbreak detection using spatio-temporal isomorphic dynamic features,” in Proc. 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 751-756, 2019, 5-8 Aug. 2019, New Zealand. (CORE A).

M.M. Islam, G. Karmakar, J. Kamruzzaman and M. Murshed, “Measuring trustworthiness of IoT image sensor data using other sensors' complementary multimodal data,” in Proc. 18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 775-780, 2019, 5-8 Aug. 2019, New Zealand. (CORE A).

M.E. Khoda, J. Kamruzzaman, I. Gondal, T. Imam, and A. Rahman, "Mobile malware detection using deep learning: effect of hyper-parameters and network architecture," 20th IEEE International Conference on Industrial Technology, pp. 1161 - 1166, Melbourne, Feb. 13-15, 2019.

A. Ur-Rehman, I. Gondal, J. Kamruzzaman and A. Jolfaei, "Vulnerability modeling for hybrid network system," 20th IEEE International Conference on Industrial Technology, pp. 1186-1191, Melbourne, Feb. 13-15, 2019.

S. Park, I. Gondal, J. Kamruzzaman and J. Oliver, "Generative malware outbreak detection," 20th IEEE International Conference on Industrial Technology, pp. 1149 - 1154, Melbourne, Feb. 13-15, 2019.

M. Arifuzzaman, M.R. Hassan, S.M. Haque and J. Kamruzzaman, "Enhancing branch predictors using genetic algorithm," 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), pp. 1-6, April 15-17, Bahrain, 2019.

M.M. Mamun, J. Kamruzzaman and S. Wasimi, “Sliding Window-based Regularly Frequent Patterns Mining Over Sensor Data Streams,” in Proc. 6th IEEE Conference on Computer Science and Data Engineering (CSDE), Melbourne, Australia, Dec. 9-11, 2019.

M.M. Alam, G. Karmakar, S. Islam, J. Kamruzzaman, M. Chetty, S. Lim, G. Appuhamillage, G. Chattopadhyay, S. Wilcox and V. Verheyen, "Assessing Transformer Oil Quality using Deep Convolutional Networks," 29th Australasian Universities Power Engineering Conference (AUPEC), Fiji, Nov. 26-29, 2019.

R. Das, J. Kamruzzaman and G. Karmakar, "Influence of clustering on the opinion formation dynamics in online social networks," Proc. 25th International Conference on Neural Information Processing (ICONIP), vol. 4, pp. 144-155, Siem Reap, Cambodia, 2018. (CORE A)

M.M. Islam, J. Kamruzzaman, G. Karmakar, M. Murshed and G. Kahandawa, "Passive Detection of Splicing and Copy-Move Attacks in Image Forgery," Proc. 25th International Conference on Neural Information Processing (ICONIP), vol. 4, pp. 555-567, Siem Reap, Cambodia, 2018. (CORE A)

M. Khoda, J. Kamruzzaman, I. Gondal and T. Imam, "Mobile Malware Detection - an Analysis of the Impact of Feature Categories," Proc. 25th International Conference on Neural Information Processing (ICONIP), vol. 4, pp. 486-498, Siem Reap, Cambodia, 2018. (CORE A)

A. Chowdhury, G. Karmakar, J. Kamruzzaman and T. Saha, "Detecting intrusion in the traffic signals of an intelligent traffic system," Proc. 20th International Conference on Information and Communications Security, pp. 696-707, Lille, France, 2018. (CORE B)

M.M. Islam, J. Kamruzzaman, G. Karmakar, M. Murshed and G. Kahandawa, "Detecting Splicing and Copy-Move Attacks in Color Images" Proc. International Conference on Digital Image Computing: Techniques and Applications, DICTA, Canberra, Australia, 2018.

M.M. Rashid, J. Kamruzzaman, I. Gondal and R. Hassan, "Periodic associated sensor patterns mining from wireless sensor networks," Intl. Conf. on Neu. Inf. Process. (ICONIP), China, pp. 247-255, Nov. 2017. (CORE A)

J.E. Giti, B. Srinivasan and J. Kamruzzaman, “Impact of friendly jammers on secrecy multicast capacity in presence of adaptive eavesdroppers,” IEEE Global Communications Conference (Globecom), Singapore, Dec. 2017. (CORE B)

L.T.N. Dinh, G. Karmakar, J. Kamruzzaman, and A. Stranieri, “A rule based inference model to establish strategy-process relationship,” Proc. 30th International Business Information Management Conference (IBIMA), Madrid, Spain, November, 2017 (CORE B)

L.T.N. Dinh, G. Karmakar, J. Kamruzzaman, A. Stranieri and R. Das, “Significance level of a query for enterprise data,” Proc. 30th International Business Information Management Conference (IBIMA), Madrid, Spain, November, 2017 (CORE B)

S. Kaisar, J. Kamruzzaman, G. Karmakar, and I. Gondal, "Dynamic content distribution for decentralized sharing in tourist spots using demand and supply," 13th International Wireless Communications and Mobile Computing Conference (IWCMC), Valencia, Spain, June 26-30, 2017 (CORE B).

R. Das, J. Kamruzzaman and G. C. Karmakar, "Exploiting evolving trust relationships in the modelling of opinion formation dynamics in online social networks," IEEE AINA, Taiwan, March 27-29, 2017 (CORE B). Nominated for Best Paper award

M.S.M Haque, M.R. Hassan, G.M. BinMakhashen, A.H. Owaidh, J. Kamruzzaman, "Breast Density Classification for Cancer Detection Using DCT-PCA Feature Extraction and Classifier Ensemble," International Conference on Intelligent Systems Design and Applications (ISDA), pp. 702-11, Delhi, India, 2017.

R. Das, J. Kamruzzaman and G. Karmakar, “Who are convincing? an experience based opinion formation dynamics in online social networks,” in Proc. 30th European Simulation and Modelling Conference (ESM), Siani, Spain, pp. 1-7, October 2016. (CORE B)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "An Efficient Data Extraction Framework for Mining Wireless Sensor Networks," in Proc. International Conference on Neural Information Processing (ICONIP), Tokyo, Japan, pp. 491-498, October 2016. (CORE A)

S. Kaisar, J. Kamruzzaman, G. Karmakar and I. Gondal, "Carry me if you can: A utility based forwarding scheme for content sharing in tourist destinations,” in Proc. 22nd Asia Pacific Conference on Communications (APCC), pp. 261-267, 2015. (CORE B)

S. Kaisar, J. Kamruzzaman, G. Karmakar and I. Gondal, "Content exchange among mobile tourists using users’ interest and place-centric activities,” in Proc. 10th International Conference on Information, Communications and Signal Processing (ICICS), Singapore, December 2015. (CORE B) Received Best Paper Award

L. Dinh, G. Karmakar, J. Kamruzzaman and A. Stranieri, "Business context in big data analytics," in Proc. 10th International Conference on Information, Communications and Signal Processing (ICICS), Singapore, December 2015. (CORE B)

I. Senthooran, J.C. Barca, J. Kamruzzaman, M. Murshed, H. Chung, "An efficient pose estimation for limited-resourced MAVs using sufficient statistics," in Proc. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), pp. 3735-3740. (CORE A)

S. Kaisar, J. Kamruzzaman, G. Karmakar and I. Gondal, "Content Sharing among Visitors with Irregular Movement Patterns in Visiting Hotspots, in Proc. IEEE International Symposium on Network Computing and Applications (NCA), Cambridge, MA USA, pp. 230-234, September 2015. (CORE A)

R. Das, J. Kamruzzaman and G. Karmakar, “Opinion formation dynamics under the combined influences of majority and experts,” in Proc. International Conference on Neural Information Processing (ICONIP), Istanbul, Turkey, pp. 674-682, November 2015. (CORE A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, " A MapReduce based technique for mining behavioral patterns from sensor data," in Proc. International Conference on Neural Information Processing (ICONIP), Istanbul, Turkey, pp. 145-153, November 2015.

M.M. Rashid, I. Gondal and J. Kamruzzaman, "Condition monitoring through mining fault frequency from machine vibration data," 2015 International Joint Conference on Neural Network (IJCNN), pp. 1-8, Killarney, Ireland, July 2015. (CORE A)

R. Das, J. Kamruzzaman and G. Karmakar, “Consistency driven opinion formation modelling in presence of external sources,” 2015 International Joint Conference on Neural Network (IJCNN), Killarney, Ireland, July 2015. (CORE A)

N. Nowsheen, G. Karmakar, and J. Kamruzzaman, “An adaptive approach to opportunistic data forwarding in underwater acoustic sensor networks,” Proc. 13th IEEE Symposium on Network Computing & Applications (NCA), Cambridge, MA, pp. 105-110, 2014. (CORE A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "A novel algorithm for mining behavioral patterns from wireless sensor networks," Proc. 2014 International Joint Conference on Neural Network (IJCNN), pp. 3713-3719, Beijing, 2014. (CORE A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "A parallel and distributed framework for mining share-frequent sensor patterns from wireless sensor networks," Proc. Intl. Conf. on Comp. Sci., 2014. (CORE A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "A Novel Algorithm for Mining Behavioural Patterns from Wireless Sensor Networks," to appear in IEEE IJCNN 2014 (ERA rank A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "A Parallel and Distributed Framework for Mining Share-Frequent Sensor Patterns from Wireless Sensor Networks," to appear in Intl. Conf. on Comp. Sci., 2014. (ERA rank A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "ACSP-tree: A tree structure for mining behavioural patterns from wireless sensor networks," 38th IEEE Intl. Conf. on Local Computer Networks (LCN 2013), Sydney, Australia, 2013. (ERA rank A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "Mining associated sensor patterns for data stream of wireless sensor networks," 16th ACM/IEEE Intl. Conf. on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM2013), Barcelona, Spain, 2013. (ERA rank A)

M.M. Rashid, I. Gondal and J. Kamruzzaman, "Regularly frequent patterns mining from sensor data stream," 20th Intl. Conf. on Neural Information Systems (ICONIP), vol. 2, pp. 417-424, Daegu, Korea, 2013. (ERA rank A)

N. Nowsheen, G. Karmakar, and J. Kamruzzaman, "An Opportunistic Message Forwarding Protocol for Underwater Acoustic Sensor Networks," Proc. The 19th Asia Pacific Conference on Communications (APCC), pp. 208-213, 2013.

F.R. Armaghani, I. Gondal, J. Kamruzzaman and David G Green, "Dynamic sensors collaboration to balance the accuracy-lifetime trade-off in multiple-target tracking," 23 IEEE Intl. Conf. on Personal Indoor and Mobile Radio Communications (PIMRC), pp. 675-681, 2012.

F.R. Armaghani, I. Gondal, J. Kamruzzaman and David G Green, "Dynamic sensors selection for overlapped multiple-target tracking using eagerness," IEEE Vehicular Technology Conference (VTC Fall), Quebec, 2012.

F.R. Armaghani, I. Gondal, J. Kamruzzaman and David G Green, "Dynamic clusters graph for detecting moving targets using WSNs," IEEE Vehicular Technology Conference (VTC Fall), Quebec, 2012.

R. Hassan, G. Karmakar and J.Kamruzzaman, "Realistic pricing modeling for dynamic spectrum access network," IEEE International Conference on Communications (ICC), Ottawa, Canada, pp. 1838-1842, 2012.

S. Pervin, J. Kamruzzaman and G. karmakar, "Delay-aware query routing tree for wireless sensor networks," Proc. 11th IEEE Symposium on Network Computing & Applications (NCA), Cambridge, MA, pp. 105-110, 2012 (ERA rank A).

M.F. Yaqub, I. Gondal and J. Kamruzzaman, "Impact characterization of multiple-points-defect on machine fault diagnosis," Proc. IEEE Intl. Conf. on Automation Science and Engineering (CASE), pp. 479-484, Seoul, 2012.

Kh Mahmudul Alam, J. Kamruzzaman, G. Karmakar and M. Murshed, "Priority sensitive event detection in hybrid wireless sensor networks," Proc. 21st Intl. Conf. on Computer Communications and Networks (ICCCN), Munich, pp. 1-7, 2012.

A. Haider, I. Gondal and J. Kamruzzaman, "A novel vertical handover scheme for diminution in social network traffic," Proc. IEEE Wireless Communications and Networking Conference (WCNC), Shanghai, pp. 2488-2492, 2012.

Kh Mahmudul Alam, J. Kamruzzaman, G. Karmakar, M. Murshed and AKM Azad, "QoS support in event detection in WSN through optimal k-coverage," Proc. 11th International Conference on Computational Science (ICCS), Japan, pp. 449-457, 2011. (ERA rank A).

S. Pervin, J. Kamruzzaman and G. karmakar, "Quality adjustable query processing framework for wireless sensor networks," Proc. 10th IEEE Symposium on Network Computing & Applications (NCA), USA, pp. 354 - 358, 2011(ERA rank A).

S. Pervin, J. Kamruzzaman, G. Karmakar and AKM Azad, "Hybrid in-network query processing framework for wireless sensor networks," Proc. IEEE International Conference on Communications (ICC), Japan, 2011.

Kh Mahmudul Alam, J. Kamruzzaman, G. Karmakar and M. Murshed, "Dynamic event coverage in hybrid wireless sensor networks," Proc. 10th IEEE Symposium on Network Computing & Applications (NCA), USA, pp. 348 - 353, 2011 (ERA rank A).

M.F. Yaqub, I. Gondal and J. Kamruzzaman, "Severity invariant machine fault diagnosis," Proc. 6th IEEE Conference on Industrial Electronics and Applications (ICIEA), China, pp. 21-26, 2011 (ERA rank A).

M.I.B Shahid and J. Kamruzzaman, "Spectrum allocation framework for multiuser cognitive radio systems," Proc. IEEE International Conference on Communications (ICC), Japan, 2011.

A. Haider, I. Gondal and J. Kamruzzaman, "Dynamic dwell timer for hybrid vertical handover in 4G coupled networks," Proc. IEEE Vehicular Technology Conference (VTC spring), Budapest, Hungary, 2011.

F.R. Armaghani, I. Gondal and J. Kamruzzaman," Dynamic Sensor Selection for Target Tracking in Wireless Sensor Networks," Proc. IEEE Vehicular Technology Conference (VTC fall), USA, 2011.

G. Rabbani, J. Kamruzzaman, I. Gondal and I. Ahmad, "A new resource distribution model for improved QoS in an integrated WiMAX/WiFi architecture," Proc. 7th International Conference on Wireless Communications and Mobile Computing (IWCMC), Turkey, 2011.

M.F. Yaqub, I. Gondal, and J. Kamruzzaman, "Envelope-Wavelet Packet Transform for Machine Condition Monitoring", Proc. International Conference on Control, Automation, Robotics and Vision (ICCARV), pp. 1597-1603, Italy, 2011 (ERA rank A).

M.F. Yaqub, I. Gondal, and J. Kamruzzaman, "Multiple-Points Fault Signature's Dynamics Modeling for Bearing Defect Frequencies", Proc. International Conference on Control, Automation, Robotics and Vision (ICCARV), pp. 2580-2585, Italy, 2011 (ERA rank A).

M. F. Yaqub, I. Gondal and J. Kamruzzaman, "Optimally parameterized wavelet packet transform for machine residual life prediction," Proc. 12th annual conference of the Australian Acoustical Society (ACOUSTICS-2011), paper no. 35, pp. 1-8, Gold Coast, Australia.

R. Hassan, G. Karmakar and J. Kamruzzaman, "Maximizing the concurrent transmissions in cognitive radio ad hoc networks," Proc. 7th International Conference on Wireless Communications and Mobile Computing (IWCMC), Turkey, 2011.

R. Hassan, G. Karmakar and J. Kamruzzaman, "Dynamic bandwidth access to cognitive radio ad hoc networks through pricing modeling," Proc. 17th Asia Pacific Conference on communication (APCC), pp. 12-17, Malaysia, 2011.

M. M. Bhuiyan, I. Gondal and J. Kamruzzaman, "Cross layer modeling of contention-based MAC and deterministic routing protocols in multi-hop WSNs," Proc.International Conference on Information Networking (ICOIN), Malaysia, 2011.

M. M. Bhuiyan, I. Gondal and J. Kamruzzaman, "CODAR: congestion and delay aware routing to detect time critical events in WSNs," Proc. International Conference on Information Networking (ICOIN), Malaysia, 2011.

M. F. Yaqub, I. Gondal, and J. Kamruzzaman, "Resonant frequency band estimation using adaptive wavelet decomposition level selection," Proc. 2011 IEEE International Conference on Mechatronics and Automation (ICMA), China, pp. 376 - 381, 2011.

M. F. Yaqub, I. Gondal, and J. Kamruzzaman, "Machine fault severity estimation based on adaptive wavelet nodes selection and SVM," Proc. 2011 IEEE International Conference on Mechatronics and Automation (ICMA), China, pp. 1951 - 1956, 2011.

M. M. Bhuiyan, I. Gondal and J. Kamruzzaman, "I-MAC: energy efficient intelligent MAC protocol for wireless sensor networks," Proc. 17th Asia Pacific Conference on communication (APCC), pp. 133-138, Malaysia, 2011.

M. M. Bhuiyan, I. Gondal and J. Kamruzzaman, "Dual-channel based energy efficient event clustering and data gathering in WSNs," 17th Asia Pacific Conference on communication (APCC), Malaysia, 2011.

A. R. Siddique and J. Kamruzzaman, "Performance analysis of PCF based WLANs with imperfect channel and failure retries," Proc. IEEE Global Tele. Conf., (GLOBECOM), USA, 2010. (ERA rank B).

A. R. Siddique and J. Kamruzzaman, "Increasing voice capacity over IEEE 802.11 WLAN using virtual access points," Proc. IEEE Global Tele. Conf., (GLOBECOM), USA, 2010. (ERA rank B).

M. Mamun, G. C. Karmakar and J. Kamruzzaman, "QoS-centric collision window shaping for CSMA-CA MAC protocol," Proc. IEEE Global Tele. Conf., (GLOBECOM), USA, 2010. (ERA rank B).

M. Mamun, G. C. Karmakar and J. Kamruzzaman,"A contender-aware backoff algorithm for CSMA based MAC protocol for wireless sensor network," Proc.16th Asia-Pacific Conference on Communications (APCC), pp. 261-266, New Zealand, 2010.

M.F. Yaqub, I. Gondal and J. Kamruzzaman, "Coexistence mechanism for industrial automation network," Proc.12th International Conference on High Performance Computing & Communications, (HPCC), pp. 376-382, Melbourne, 2010.

M.F. Yaqub, I. Gondal and J. Kamruzzaman, "Diversified adaptive frequency rolling to mitigate self and static interferences," Proc.12th International Conference on High Performance Computing & Communications, (HPCC), pp. 603-608, Melbourne, 2010.

A. Haider, I. Gondal, J. Kamruzzaman and B. Qiu, "Efficient utilization of WLAN networks in the next-generation heterogeneous environments," Proc.12th International Conference on High Performance Computing & Communications, (HPCC), 2010, pp. 398-403, Melbourne, 2010.

A K M Azad, J. Kamruzzaman, KH Alam, S. Pervin and B. Srinivasan, "Query processing over distributed heterogeneous sensor networks in Future Internet: scalable architecture and challenges," Proc.2nd International Conference on Advances in Future Internet (AFIN), 2010, pp. 75-81, Italy, 2010.

A. R. Siddique and J. Kamruzzaman, "VoIP Service over Multihop 802.11 networks with power capture and channel noise," Proc. IEEE International Conference on Communications (ICC), Cap Town, South Africa, 2010.

M.I.B. Shahid and J. Kamruzzaman, "Agile spectrum evacuation in cognitive radio networks," Proc.IEEE International Conference on Communications (ICC), 2010, Cap Town, South Africa, 2010.

M.M. Bhuiyan, I. Gondal and J. Kamruzzaman, "CAM: congestion avoidance and mitigation in wireless sensor networks," Proc.71stIEEE Vehicular Technology Conference (VTC) Taipei, Taiwan, 2010.

M.I.B. Shahid and J. Kamruzzaman, "Interference protection through agile spectrum evacuation in cognitive radio networks," Proc. 71st IEEE Vehicular Technology Conference (VTC) Taipei, Taiwan, 2010.

A.R. Siddique and J. Kamruzzaman, "Performance analysis of m-retry BEB based DCF under unsaturated traffic condition," Proc. IEEE Wireless Communications & Networking Conference (WCNC), Sydney, Australia, 2010.

A.R. Siddique and J. Kamruzzaman, "Voice over multi-channel multi-radio WLANs with power capture and imperfect channel," Proc.IEEE Wireless Communications & Networking Conference (WCNC), Sydney, Australia. 2010. Received Best Paper award.

M.M. Bhuiyan, I. Gondal and J. Kamruzzaman, "LACAR: Location aided congestion aware routing in wireless sensor networks," Proc.IEEE Wireless Communications & Networking Conference (WCNC), Sydney, Australia, 2010.

A.R. Siddique and J. Kamruzzaman, "VoIP capacity over PCF with imperfect channel," Proc. IEEE Global Telecommunications Conference (GLOBECOM), December, Honolulu, USA, 2009.

M.I.B. Shahid and J. Kamruzzaman, "Cooperative spectrum sensing in realistic RF environment," Proc. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1-6, Tokyo, Japan, 2009.

S. Ahmed, G C Karmakar and J. Kamruzzaman, "Hierarchical adaptive location service protocol for mobile ad hoc network", Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp. 2932-2937, Budapest, Hungary, 2009.

S. Ahmed, G C Karmakar and J. Kamruzzaman, "Simulating geographic constraint mobility for mobile ad hoc network," Proc. 16th IEEE Intl. Symp. Modeling, Analysis & Simulation (MASCOT), pp. 1-10, Baltimore, USA, 2008. (ERA rank A).

AKM Azad and J. Kamruzzaman, "A framework for collaborative multi class heterogeneous wireless sensor networks," Proc.IEEE International Conference on Communications (ICC), pp. 4396 - 4401, 2008.

AKM Azad and J. Kamruzzaman, "Asynchronous variable hop size transmission with stochastic data model for sensor networks," Proc.IEEE International Conference on Communications (ICC), pp. 4266 - 4271, 2008.

AKM Azad and J. Kamruzzaman, "Energy efficient and hop constraint intra-cluster transmission for heterogeneous sensor networks," Proc.IEEE Wireless Communications and Networking Conference (WCNC), pp. 2117-2122, Las Vegas, 2008.

A.R. Siddique and J. Kamruzzaman, "VoIP call capacity over wireless mesh networks," Proc. IEEE Global Telecommunications Conference (GLOBECOM), USA, 2008.

M.I.B. Shahid and J. Kamruzzaman, "Weighted soft decision for cooperative sensing in cognitive radio networks," Proc.IEEE International Conference on Network (ICON), pp. 1-6, New Delhi, India, 2008.

AKM Azad and J. Kamruzzaman, "Lifetime optimization through uniform energy usage among sensors for generic BS location," Proc.IEEE Global Telecommunications Conference (GLOBECOM), USA, pp. 1022-1027, 2007.

S. Ahmed, G. Karmakar and J. Kamruzzaman, "Evaluating performance of location service protocols of ad-hoc wireless network in real-world environment model," Proc.IEEE Intl. Conf. on Wireless Comm., Netw. & Mob. Comp. (WiCOM), China, pp. 1577-1580, 2007.

T. Imam, KM Ting, and J. Kamruzzaman," z-SVM: An SVM for improved classification of imbalanced data," Lecture Notes in Computer Science, vol. 4304, pp. 264-273, 2006.

Y. Arafat, J. Kamruzzaman and G. Karmakar," Prediction of protein-protein interface residues using sequence neighbourhood and surface Properties," Lecture Notes in Computer Science, vol. 3973, pp. 660-666. (Proc. International Symposium on Neural Networks), 2006.

F. Islam and J. Kamruzzaman, "ANN ensemble and output encoding scheme for improved transformer tap-changer operation," Proc. IEEE Power System Conference & Exposition (PSCE'06), Atlanta, USA, 2006.

N. P. Bidargaddi, M. Chetty and J. Kamruzzaman, "Bayesian segmentation using residue proximity for secondary structure and contact prediction," Proc. IEEE Symp. on Comp. Intell. in Bioinformatics & Computational Biology (CIBCB 2006), Canada, 2006.

Y. Arafat, G. Karmakar, J. Kamruzzaman and J. Fernandez-Recio, "Predicting protein-protein interface using desolvation energy similarity matching," Proc. IEEE Symp. on Comp. Intell. in Bioinformatics & Computational Biology (CIBCB 2006), Canada, 2006.

F. Islam and J. Kamruzzaman, "Implementation of ANN based tap-changer control in power transmission and distribution system," Proc. Australasian Universities Power Engineering Conference (AUPEC'06), Melbourne, 2006.

J. Kamruzzaman and S.M. Aziz, "Framework for an agent-assisted virtual group-work environment using newsgroup platform," Proc. 17th Annl. Conf. on Austral. Assc. for Eng. Edu. (AAEE), New Zealand, 2006.

I. Ahmad, J. Kamruzzaman and LS Dooley, "Look-ahead rerouting of preempted calls," Proc. Australian Telecoms Networks and Applications Conference (ATNAC'06), 4-6 Dec 2006 Melbourne.

J. Kamruzzaman, S. Lim, I. Gondal and R. Begg, "Gene selection and classification of human lymphoma from microarray data," Lecture Notes on Bioinformatics, vol. 3745, pp. 379-390, 2005.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "Preemption-Aware Routing for QoS-Enabled Networks," Proc. 48th IEEE Global Telecommunications Conference (GLOBECOM 2005), St. Louis, USA, 2005.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "Revenue aware preemption policy in multimedia communication networks," Proc. IEEE Intl. Conf. on Multimedia & Expo (ICME 2005), pp. 1374- 1377, Netherlands, 2005.

I. Ahmad, J. Kamruzzaman and S. Aswathanarayaniah, "Call admission control with SLA negotiation in QoS-enabled networks," Lecture Notes in Computer Science, vol. 3820, pp.117 - 124, 2005.

N. P. Bidargaddi, M. Chetty and J. Kamruzzaman, "Fuzzy profile Hidden Markov Models for protein sequence analysis," Proc. IEEE Symp. on Comp. Intell. in Bioinformatics & Computational Biology (CIBCB 2005), USA, 2005.

N. P. Bidargaddi, M. Chetty and J. Kamruzzaman, "An architecture combining Bayesian segmentation and neural network ensembles for protein secondary structure prediction," Proc. IEEE Symp. on Comp. Intell. in Bioinformatics & Computational Biology (CIBCB 2005), USA, 2005.

N.P. Bidargaddi, M. Chetty and J. Kamruzzaman, "Evaluation of fuzzy measures in profile hidden Markov models for protein sequence analysis," Lecture Notes on Bioinformatics, vol. 3745, pp. 355-366. 2005.

N.P. Bidargaddi, M. Chetty and J. Kamruzzaman, "A Fuzzy Viterbi algorithm for improved sequence alignment and searching of proteins," Lecture Notes in Artificial Intelligence, vol. 3449, pp. 11-21, 2005.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "A Book-Ahead routing scheme to reduce instantaneous request call blocking and preemption Rate," Proc. IEEE Intl. Conf. on Networking (ICON'2005), pp. 580-585, Malaysia, 2005.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "Improved preemption policy for higher user satisfaction," 19th IEEE Intl. Conf. on Advanced Information Networking & Applications (AINA 2005), pp.749-754, Taiwan, 2005.

N. P. Bidargaddi, M. Chetty and J. Kamruzzaman, "An incremental constructive layer neural network based power system stabiliser," Proc. 24th Intl. Conf. on Modeling, Identification & Control, (MIC 2005), pp. 316-321, Austria, 2005.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "A revenue based call scheduling algorithm for QoS-enabled networks," Proc. Intl. Conf. on Next Generation teletraffic and wired/wireless advance networking (NEW2AN2004), pp. 248-253. Russia, 2004.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "A neural network modelling of Look-Ahead time in Book-Ahead reservation in QoS-enabled networks," 14th Intl. Conf. on Artificial Neural Network in Eng (ANNIE2004), pp. 823-829, USA, 2004.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "Dynamic look-ahead time with conditional call admission based on predicted lifetime," 9th IEEE Intl. Conf. on Comm. Syst. (ICCS 2004), pp. 537-541, Singapore, 2004.

F. Islam, J. Kamruzzaman and G. Lu, "Transformer tap-changing decision by data classification using artificial neural network," Proc. IEEE Power System Conference & Exposition (PSCE'04), pp. 1-6, USA, 2004.

F. Islam, J. Kamruzzaman and G. Lu, "Modified cascade-correlation algorithm for improved transformer tap changing operation," Proc Intl. Conf. on Soft Comp. & Intell. Syst. (ICSCIS'04), pp. 1-6, Japan, 2004.

I. Ahmad, J. Kamruzzaman, and S. Aswathanarayaniah, "Dynamic look-ahead time in Book-ahead reservation in QoS-enabled networks,"12th IEEE Intl. Conf. on Networks (ICON-04), pp. 566-571, Singapore, 2004.

J. Kamruzzaman and R. Begg, "An intelligent model for Reconstruction of stance time from faulty gait recording," Proc. 4th Intl. Conf. on Hybrid Intell. Syst. (HIS'04), pp. 26-31, Japan, 2004.

B. Ramamurthy, S.M. Aziz and J. Kamruzzaman, "An efficient architecture for a 2-D DWT processor," Proc. IEEE Intl. Conf. on Elect. & Comp. Eng. (ICECE'04), pp. 414-417, Bangladesh, 2004.

J. Kamruzzaman and S.M. Aziz, "Improved machine recognition for Bangla characters," Proc. IEEE Intl. Conf. on Elect. & Comp. Eng. (ICECE'04), pp. 557-560, Bangladesh, 2004.

J. Kamruzzaman and R. Begg, "SVM classifier for recognition of cerebral palsy gait in children," Proc. Intl. Conf. on Comp. Intell. for Modelling, Control & Automation (CIMCA'04), Australia, 2004.

N. Bidargaddi, M. Chetty and J. Kamruzzaman, "Fuzzy decoding in profile hidden markov models for protein family identification," Proc. Intl. Conf. on Bioinformatics and its Applications (ICBA'04), pp. 119-131, Singapore, 2004.

J. Kamruzzaman, R. Sarker and I. Ahmad, "SVM based models for predicting foreign exchange rates," Proc 3rd IEEE Intl. Conf. on Data Mining (ICDM'03), pp. 557-560, Florida, USA, 2003. (ERA rank A).

I. Ahamd, J. Kamruzzaman and A. Aswathanarayaniah, "An efficient technique for bandwidth allocation by dynamic pricing," Proc. Intl. Conf. on Comm., Internet and Info. Tech. (ICIIT), pp. 491-496. USA, 2003.

J. Kamruzzaman and R. Sarker, "Support vector machine for better forex forecasting model," Proc. Asia-Pacific Symp. on Intell. & Evol. Syst. (IES2003), pp.44-48, Japan, 2003.

J. Kamruzzaman and R. Sarker, "Forecasting of Currency Exchange Rates using ANN: A Case Study," Proc. IEEE Intl. Conf. on Neur. Net. & Sign. Process. (ICNNSP03), pp. 793-797, China, 2003.

R. Begg and J. Kamruzzaman, "A comparison of neural network and support vectors machines for recognizing young-old gait patterns," Proc. IEEE TENCON 2003, pp. 354-358, India, 2003.

F. Islam, J. Kamruzzaman and G. Lu, "Artificial neural networks for parallel transformers tap-changer control for closed primary bus connection," Proc. Australasian Universities Power Engineering Conference (AUPEC'03), pp. 1-6, Melbourne, 2003.

R. Begg and J. Kamruzzaman, "An application of support vector machines for distinguishing gait pattern," Proc World Cong. on Med. Phy. & Biomed. Eng. (WCMPBE03), pp. 1-6, Sydney, 2003.

F. Islam, J. Kamruzzaman and G. Lu, "Transformer tap-changer control using artificial neural network for cross network connection," Proc. 3rd Intl. Conf. Power & Energy Systems, EuroPES pp. 666-671, Spain, 2003.

F. Islam, B. Nath and J. Kamruzzaman, "Training neural network for transformer tap-changer operation using different output coding schemes - an experimental study," Proc. 15th Intl. Conf. Syst. Eng., pp.211-217, USA, 2002.

J. Kamruzzaman and S.M. Aziz, "A note on activation function in multilayer feedforward learning," Proc. Intl Joint Conf. on Neural Networks (IJCNN), pp. 519-523, Honolulu, USA, 2002. (ERA rank A).

S. M. Aziz, C. N. Basheer and J. Kamruzzaman, "A synthesisable VHDL model for an easily testable generalised multiplier," Proc. Intl. Workshop on Electronic Design Test & Applications (DELTA2002), pp. 504-506, New Zealand, 2002.

F. Islam, B. Nath and J. Kamruzzaman," Reactive load control of parallel transformer operations using neural network," Lecture Notes in Artificial Intelligence, vol. 2358, pp. 824-830, 2002.

J. Kamruzzaman, "Comparison of feed-forward neural net algorithms in application to character recognition," Proc. of IEEE TENCON'01, pp.165-169, Singapore, 2001.

J. Kamruzzaman, "Numeric Bangla digit recognition by weight smoothing feedforward neural network," Proc. of IEEE Intl. Conf. Elec. & Comp. Eng., (ICECE), pp. 155-158, Bangladesh, 2001.

J. Kamruzzaman and S. M. Aziz, "Internet Commerce - Security, Privacy, Legal and Related Issues," Proc. of IEEE Intl. Conf. Elec. & Comp. Eng., (ICECE), pp. 9-13, Bangladesh, 2001.

J. Kamruzzaman, "Variations in Backpropagation Learning - A comparison of Convergence Characteristics," Proc. 4th Japan-Australia Joint Workshop on Intel. & Evolu. Systs., pp. 98-105, Australia, 2000.

J. Kamruzzaman, "A neural network model for invariant character recognition," Proc of 5th Intl. Conf. on Neural Networks and Soft Computing, pp. 221-226, Poland, 2000.

J. Kamruzzaman, "Fast training of multi-layered feedforward neural network," Proc. 3rd Japan-Australia Joint Workshop on Intel. & Evolu. Systs. pp. 78-85, Australia, 1999.

P.K. Saha, M. Shoib and J. Kamruzzaman, "Diagonal recurrent neural network based integrated control system of an industrial boiler," Proc. of TENCON'98, pp. 200-203, New Delhi, India, 1998.

S.M. Aziz and J. Kamruzzaman, "Fault characterization of low capacitance full-swing BiCMOS logic circuits," Proc. of the 7th Asian Test Symp. (ATS98), pp. 199-125, Singapore, 1998.

S.M. Aziz, J. Kamruzzaman and A.B.M. Harun-ur Rashid, "A parallel test interface for embedded RAMs and FIFO registers using VHDL," Proc. Intl. Conf. Compt. & Info. Tech. (ICCIT'98), pp. 58-62, Bangladesh, 1998.

J. Kamruzzaman, Y. Kumagai and S.M. Aziz, "Character recognition by double Backpropagation neural network," Proc. of IEEE TENCON'97, pp. 411-414, Australia, 1997.

S.M.Aziz, Z. Rouf and J. Kamruzzaman, "Signed and unsigned multiplication using a singular cellular array," Proc. 7th Intl. Symp. on IC Tech., Syst. & Appl. ISIC-97, pp. 569-572, Singapore, 1997.

M.R. Bhuiyan and J. Kamruzzaman, "Monte Carlo simulation for evaluating power system reliability," Proc. 2nd Intl Conf on Appl of Numerical Methods in Engineering, pp. 413-430, Malaysia, 1997.

M.Z. Rahman, S.M.L. Kabir and J. Kamruzzaman, "Design and implementation of an analogue neural network based reactive power controller," Proc. Intl. Conf. Modelling, Simul. & Optim. (MSO'97), pp. 20-23, Singapore, 1997.

M. Monirul Islam, M.A. Rashid and J. Kamruzzaman, "A Fuzzy model for pattern recognition," Proc. of Natl. Conf. on Comp. & Inf. Syst., (NCCIS'97), pp. 116-120, Bangladesh, 1997.

Y. Kumagai, J. Kamruzzaman and H. Hikita, "Further cross talk reduction of associative memory and exact data retrieval," Proc. of IEEE Int. Conf. on Neural Networks, ICNN'93, pp. 1371-1378, USA, 1993.

Y. Kumagai, J. Kamruzzaman, K. Ito and H. Hikita, "Exact data retrieval of associative memory based on cross talk formulation," Proc. of IEEE Int. Symp. on Circuits & Systems, ISCAS'93, pp. 2395-2398, USA, 1993.

M. Hamamoto, K. Ito, J. Kamruzzaman and Y. Kumagai, "Realization of surjective correspondences in artificial neural network trained by Fahlman and Lebiere's learning algorithm," Proc. of Int. Workshop on Artificial Neural Networks, IWANN'93, pp. 243-248, Spain, 1993.

J. Kamruzzaman, Y. Kumagai and H. Hikita, "On cascaded artificial neural network architecture," Proc. of IEEE/INNS Int. Joint Conf. on Neural Networks, IJCNN'92, pp. 210-217, Beijing, China, 1993. (ERA rank A).

Y. Kumagai, J. Kamruzzaman and H. Hikita, "Artificial cross talk reduction of associative memory," Proc. of IEEE/INNS Int. Joint Conf. on Neural Networks, IJCNN'92, pp. 153-159, USA, 1992. (ERA rank A).

J. Kamruzzaman, Y. Kumagai and H. Hikita, "Study on minimal net size, convergence behavior and generalization ability of heterogeneous backpropagation network," Artificial Neural Networks, 2, I. Aleksander and J. Taylor (eds), Proc. of ICANN '92, pp. 203-206,UK, 1992.

Y. Kumagai, J. Kamruzzaman and H. Hikita, "A novel architecture of high order associative memory with reduced cross talk," Artificial Neural Networks, 2, I. Aleksander and J. Taylor (eds), Proc. of ICANN '92, pp. 417-420,UK, 1992.

J Kamruzzaman, Y Kumagai and H Hikita, "A cascaded artificial neural network architecture with novel robustness," Proc. ICCS/ISITA'92, pp. 1235-1239, Singapore, 1992.

M. Hamamoto, J. Kamruzzaman and Y. Kumagai, "Generalization ability of artificial neural net using Fahlman and Lebiere's learning algorithm," Proc. of IEEE/INNS Int. Joint Conf. on Neural Networks, IJCNN'92, pp. 613-618, USA.

H. Ishiwatari, J. Kamruzzaman and Y. Kumagai, "Novel noise filtering ability of heterogeneous five layered neural network trained identity mapping using BP algorithm," Proc. of the 35th Midwest Symposium on Circuits & Systems, MWSCAS'92, pp. 875-878, USA, 1992.

M. Hamamoto, J. Kamruzzaman and Y. Kumagai, "Network synthesis and generalization properties of artificial neural net using Fahlman and Lebiere's learning algorithm," Proc. of the 35th Midwest Symposium on Circuits & Systems, MWSCAS'92, pp. 695-698, USA, 1992.

Y. Kumagai, J. Kamruzzaman, Y. Maruyama and H. Hikita, "Construction of high-order correlation associative memory with novel retrieval cost performance," Proc. of the 35th Midwest Symposium on Circuits & Systems, MWSCAS'92, pp. 689-694, USA, 1992.