Prof Iven Mareels - Research

Professional associations

Publications / reports (2022-2023)

Chapters in books

  1. Amritam Das, Ram Rao Kolluri, Iven Mareels, Data Industry, Chapter in The Impact of Automatic Control Research on Industrial Innovation: Enabling a Sustainable Future Silvia Mastellone (Editor), Alex van Delft (Editor), Wiley, IEEE Press Series on Control Systems Theory and Applications, ISBN 978-1-119-98361-3, Dec 2023

Journal publications

  1. Shuang Yu, Rima El Atrache,  Jianbin Tang,  Michele Jackson,  Adam Makarucha,  Sarah Cantley,  Theodore Sheehan,  Solveig Vieluf,  Bo Zhang,  Jeffrey L. Rogers,  Iven Mareels,  Stefan Harrer, Tobias Loddenkemper, Artificial Intelligence Enhanced Epileptic Seizure Detection from Wearables, Epilepsia, https://doi.org/10.1111/epi.17774
  2. Pramod P. Khargonekar, Tariq Samad, Saurabh Amin, Aranya Chakrabortty, Fabrizio Dabbene, Amritam Das, Masayuki Fujita, Mario Garcia-Sanz, Dennice Gayme, Marija Ili´c, Iven Mareels, Kevin L. Moore, Lucy Y. Pao, Akshay Rajhans, Jakob Stoustrup, Junaid Zafar, Margret Bauer, Climate Change Mitigation, Adaptation, and Resilience CHALLENGES AND OPPORTUNITIES FOR THE CONTROL SYSTEMS COMMUNITY, IEEE Control Systems Magazine,  see also IFAC World Congress 2023, Panel Session On the Control of Societal Scale Challenges
  3. Shafin SS, Karmakar G, Mareels I. Obfuscated Memory Malware Detection in Resource-Constrained IoT Devices for Smart City Applications. Sensors 23(11):5348. https://doi.org/10.3390/s23115348
  4. Chorev M, Haderlein J, Chandra S, Menon G, Burton BJL, Pearce I, McKibbin M, Thottarath S, Karatsai E, Chandak S, Kotagiri A, Talks J, Grabowska A, Ghanchi F, Gale R, Hamilton R, Antony B, Garnavi R, Mareels I, Giani A, Chong V, Sivaprasad S. , Multi-Modal AI-Driven Cohort Selection Tool to Predict Suboptimal Non-Responders to Aflibercept Loading-Phase for Neovascular Age-Related Macular Degeneration: PRECISE Study Report 1, Journal of Clinical Medicine, 2023; 12(8):3013. https://doi.org/10.3390/jcm12083013
  5. Lei Lu; Ying Tan; Denny Oetomo; Iven Mareels; David A. Clifton, Weak Monotonicity with Trend Analysis for Unsupervised Feature Evaluation, IEEE Transactions on Cybernetics, vol 53, no 11, pp 6883-6895, Nov 2023, (was online, early access since Nov 2022)  Doi: 10.1109/TCYB.2022.3166766

Conference publications

  1. Jonas Felix Haderlein*, Andre PETERSON, Parvin Zarei Eskikand, Anthony Burkitt, Iven Mareels, David Grayden, On the benefit of over-parameterisation in state reconstruction: An empirical study of the nonlinear case, 2024 Australian & New Zealand Control Conference (ANZCC), accepted to appear
  2. Jonas F. Haderlein, Andre D. H. Peterson, Parvin Zarei Eskikand, M.J. Cook, Anthony N. Burkitt, David B. Grayden, Iven M. Y. Mareels*, Revisiting Seizure Prediction with Path Signatures: the Limitations of Systems Identification, 2024 Australian & New Zealand Control Conference (ANZCC), accepted to appear, Main plenary of the conference
  3. Shuang Yu, Rima El Atrache, Jianbin Tang, Michele Jackson, Adam Makarucha, Sarah Cantley, Theodore Sheehan, Solveig Vieluf, Bo Zhang, Jeffrey L. Rogers, Iven Mareels, Stefan Harrer, Tobias Loddenkemper, Data Collection System for Seizure Monitoring with Wearable Sensors, won the American Epilepsy Society Young Author Award 2023, presented at AES Annual Meeting 2023, both as a poster as well as a highlight presentation (very few of the 1300 accepted papers get the exposure of a presentation  format)
  4. Mr. Sakib Shahriar Shafin, Dr. Gour Chandra Karmakar, Dr. Iven Mareels, Dr. Venki Balasubramanian and Mr. Ramachandra Rao Kolluri,  Sensor Declared Data Reliability, 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), accepted for presentation and received the best paper award at the conference
  5. Jonas F. Haderlein, Andre D. H. Peterson, Anthony N. Burkitt, Iven M. Y. Mareels, David B. Grayden, Autoregressive models for biomedical signal processing, IEEE EMBC 2023, accepted for presentation, pp 249-254
  6. Tariq Samad, Daniel Y Abramovitch, Michael Lees, Iven Mareels, R Russell Rhinehart, Francesco Cuzzola, Benny Grosman, Oleg Gusikhin, Esko Juuso, Bhagyesh V Patil, Stefan Pickl, Managerial Decision Making as an Application for Control Science and Engineering, 2022 American Control Conference, Atlanta, GA, USA, 2022, pp. 3071-3081, doi: 10.23919/ACC53348.2022.9867156
  7. A Aghdam, C Birungi, D Duncan, P.K. Ghosh, R. Kalra, I. Mareels, R. Marimuthu, B. Pasik Duncan, Diversity & Inclusion in Universal Access to Technology – A Perspective, IFAC PapersOnLine 55-39 (2022) 123–128, 10.1016/j.ifacol.2022.12.022

Miscellaneous

  • Book chapter in CONTROL FOR SOCIETAL-SCALE CHALLENGES: ROAD MAP 2030, edited by Anuradha M. Annaswamy, Karl H. Johansson, George J. Pappas, IEEE Control Systems Society, May 2023; Chapter 2A, Climate Change Mitigation and Adaptation, co-authored with Pramod Khargonekar, Tariq Samad, Saurabh Amin, Aranya Chakrabortty, Fabrizio Dabbene, Amritam Das, Masayuki Fujita, Mario Garcia-Sanz, Dennice Gayme, Gabriela Hug, Marija Ilić, Iven Mareels, Kevin Moore, Lucy Y. Pao, Akshay Rajhans, Jakob Stoustrup, Junaid Zafar, Margret Bauer, pp 7 – 22, see also https://ieeecss.org/post/control-societal-scale-challenges-roadmap-2030
  • Iven Mareels, Bookreview: Model Identification and Data Analysis [Bookshelf] by S Bittanti, IEEE Control Systems Magazine. Vol 42 (4), 125-126 (2022)
  • Mohideen R, Aberg A, Mareels I, DIITA-Gender Equality and Social Inclusion (GESI) Workstream White Paper – Gender and Technology: The Case of the Energy Sector, IEEE Standard, 2022, PDF: STDVA25736  978‐1‐5044‐9133‐4
  • Iven Mareels, Digital Infrastructure for Australia’s Net Zero Transition, Impact Magazine, (ATSE publication), No215, 2023, pp 16-19

External links

Grants / awards (last 5 years)

  • 2024-2027, ARC DP240101140, A$518k, administering organisation, The University of Adelaide, with Prof Peng Shi, and A/Prof Rini Akmeliawati, “Insect-inspired flapping wing robots: autonomous flight control systems.”

Supervised projects

  • PhD student, M Kamram Ikram, Techno-economic considerations of EV Trucks in Mining, co-supervised with Ram Kolluri (IBM) and Prof Joarder Kamruzzaman (FUA)
  • PhD student Sakib Shahriar Shafin, Cybersecurity at the Edge with IoT devices, co-supervised with Ram Kolluri (IBM), and Dr Gour Karmakar (FUA)

Research higher degree completions (last 5 years)

All the below students completed their degree at the University of Melbourne, Faculty of Engineering and IT (listed reverse chronological order against year of PhD graduation)

  • 2023, Jonas Haderlein, Techniques for time series modelling in low signal-to-noise conditions – with an application to Epilepsy detection in EEG signals, presently a research fellow at the Howard Florey Institute
  • 2020, Danielle E. Forster, Cerebral perfusion markers in full-term neonates as a measure of Hypoxic-Ischemic Encephalopathy during and immediately following Hypothermia Treatment, Clinical Researcher Prenatal, Northern Hospital, Melbourne
  • 2020, Antonin Demazy, Risk Management Frameworks and Methodologies for Modern and Resilient Power Systems Planning - Using AI Techniques, entrepreneur
  • 2020. Zhanghan Tang, Cybersecurity in Linear Discrete Time Systems
  • 2020, Sergey Iakovlev, Topics in Optimization, AI Engineer in R&D for Bosch Australia