Find Academic Supervisors

• Nonsmooth optimisation
• Nonconvex optimisation
• DC optimisation
• +4 more

Sona Taheri is a Lecturer in Statistics at RMIT University's School of Science. Her research focuses on nonsmooth optimization, machine learning, and their applications in data mining and operations research. She is actively involved in supervising research students and has contributed to multiple interdisciplinary projects, including flood relief planning and credit risk modeling. She holds memberships in IEEE and SIAM, and has served on conference committees such as DASC 2020 and ICCCN 2020. Her research interests span nonsmooth optimization, nonconvex optimization, DC optimization, operations research, data mining, machine learning, and deep learning. She has developed novel algorithms for cluster analysis, regression problems, and optimization under uncertainty, with applications in healthcare, disaster management, and financial modeling. Recent articles explore optimization techniques for machine learning, including DC programming methods for regression, robust clustering algorithms, and ensemble learning approaches to reduce misclassification costs in credit risk models. She has also contributed to disaster relief operations modeling and healthcare data analysis. She has served as an editor for special issues on nonsmooth optimization and holds committee roles in conferences like C4W 2020. Her professional memberships include IEEE Computational Intelligence Society (CIS), SIAM, and Women in STEM networks.

Ripon Kumar ChakraborttyView profile

Researcher

• Artificial Intelligence
• Decision Analytics
• Operations Research
• +8 more

Dr Ripon Kumar Chakrabortty is a Decision Scientist at the School of Systems & Computing, UNSW Canberra . His research focuses on applying Artificial Intelligence and Optimization Models to complex systems, particularly in Global Supply Chains, Logistics, and Medical Informatics . He coordinates the Master of Decision Analytics program and leads the Artificial Intelligence Community of Practice at the Australian Institute of Project Management. PhD in Computer Science, UNSW (2017) M.Sc. & B.Sc. in Industrial Engineering, BUET Diploma in Logistics, Monarch Institute Certified by Chartered Institute of Logistics and Transport Australia His research portfolio includes over 5 million AUD in Category 1 grants from Australian Research Council , Department of Defence , and other government agencies. He has supervised 24 PhD/Master's students to completion or ongoing supervision, with expertise in Explainable AI , Healthcare Analytics , and Smart Manufacturing . Recent scientific recognitions include a Highly Cited Paper , Best Paper at IEEE IEEM , and Champion at IEEE CEC Competition . His editorial roles span prestigious journals like IEEE Transactions on Industrial Informatics and Mathematics (MDPI) .

• Clinical Sciences
• Public Health
• Exercise Physiology
• +7 more

Dr. Christian Brakenridge is a Post-Doctoral Research Fellow at Swinburne University of Technology's School of Health Sciences and collaborates with the Baker Heart and Diabetes Institute (Melbourne) and the South-eastern Finland University of Applied Sciences . His work focuses on 24-hour behaviors (sitting, standing, activity, sleep) and their impact on cardiometabolic health , particularly in type 2 diabetes and obesity populations. PhD from Australian Catholic University Bachelor of Clinical Exercise Physiology from Queensland University of Technology His research leverages wearable sensors (accelerometers, EMG shorts, glucose monitors) to analyze movement patterns and health outcomes. Recent work includes: Optimizing 24-hour time-use for metabolic health Comparative muscle exertion in overweight individuals Neighbourhood walkability effects on stepping behavior Allogeneic stem cell transplant rehabilitation Scientific accolades include an Academy of Finland research grant and leadership in the OPTIMISE Your Health Clinical Trial . He supervises PhD students at Swinburne and Xamk Finland, and his 15 most recent publications span topics from sedentary behavior epidemiology to machine learning applications in activity monitoring.

Tayab Din MemonView profile

Senior Lecturer

• Artificial Intelligence
• Machine Learning
• Signal Processing
• +5 more

Tayab Din Memon serves as Senior Lecturer and Senior Learning Facilitator at Torrens University Australia's Design and Creative Technology school, where he leads initiatives in the Centre for Artificial Intelligence Research and Optimisation (AIRO). With over 15 years of academic experience spanning teaching, research, and management, he actively supervises PhD candidates in AI-driven sustainable infrastructure and education technology projects. Education PhD in Computer Engineering from Royal Melbourne Institute of Technology University (awarded July 16, 2012) Research Focus Dr. Memon's work bridges technical AI systems and educational innovation , with core expertise in machine learning for fault detection in railway infrastructure and generative AI applications in learning analytics. His signal processing research targets FPGA/SoC implementations for sustainable engineering solutions, while his education technology work pioneers student-teacher-GenAI interaction frameworks using Bloom's Taxonomy to enhance engagement and retention. Current projects include AI-powered condition monitoring systems and flipped learning reimagined through AI collaboration. Research Trends Analysis of his 2024-2025 publications reveals two converging streams: (1) AI in Education focusing on generative AI's role in future pedagogy through collaborative teacher-GenAI models, and (2) Embedded Systems Engineering developing sigma-delta modulation techniques for railway monitoring and image processing. Both streams emphasize sustainable infrastructure solutions and real-world hardware implementation on FPGA platforms. Academic Leadership As former Head of Electronic Engineering Department (implementing Washington Accord standards), Dr. Memon has coordinated online curricula using flipped learning pedagogy and served as Co-Principal Investigator for the Haptics, Human-Robotics, and Condition Monitoring System Lab under Pakistan's National Center of Robotics and Automation. His current grants focus on AI-driven sustainable infrastructure and educational technology innovation. Research Environment He leads the Centre for Artificial Intelligence Research and Optimisation (AIRO) at Torrens University, directing interdisciplinary teams that combine robotics, haptics, and machine learning. Previously, he spearheaded the 11-lab NCRA consortium developing condition monitoring solutions for railway wheelsets and track surfaces, with ongoing work extending to three-phase induction motors and wireless communication systems.

Jack CollinsView profile

Researcher

• Robot Simulation
• Sim-to-Real Methods
• Robotics Foundation Models
• +7 more

Jack Collins is a Researcher and AI Research Scientist at Collaborative Robotics, focusing on robotics foundation models for collaborative robots. Previously, he served as a Postdoctoral Researcher at the University of Oxford's Applied Artificial Intelligence Lab and completed his PhD at Queensland University of Technology (QUT) in collaboration with CSIRO. His research emphasizes sim-to-real methods, robot simulation, and bridging the 'Reality Gap.' He holds a Bachelor of Engineering (Mechatronics) with First Class Honours from QUT. Education: PhD in Robotics (2018-2022), QUT/CSIRO BEng (Mechatronics) (Honours) (2014-2017), QUT Research Interests: Robot simulation and sim-to-real transfer Bimanual/mobile robotic manipulation Generative models and world modeling Task planning for long-horizon tasks Evolutionary robotics and component design Publications: Over 15 peer-reviewed articles focusing on simulation realism, robotic manipulation benchmarks, and generative modeling techniques. Key work includes the COMBO-Grasp framework and TWIST distillation method for sim-to-real transfer. Lab Affiliations: QUT Centre for Robotics (QCR), Oxford Robotics Institute's Applied AI Lab.

Hai Huyen Heidi DamView profile

Senior Lecturer

• Digital Signal Processing
• Wireless Communications
• Channel Equalisation
• +4 more

Dr. Hai Huyen Heidi Dam is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computer, and Mathematical Sciences (EECMS), under the Faculty of Science and Engineering. Her research focuses on digital signal processing, wireless communications, channel equalization, and digital filter design and optimization. She holds a BSc (Hons) and PhD (Curtin) in related fields. Her work spans theoretical and applied signal processing, including speech enhancement, blind signal separation, and robust beamforming. Key contributions include optimized filter design, multiuser MIMO systems, and adaptive feedback control in hearing aids. Dr. Dam has published extensively in journals like IEEE Transactions on Signal Processing and Circuits Systems and Signal Processing. Her research trends emphasize optimization algorithms, real-time signal processing, and practical implementations in acoustics and communications. Collaborations with industry and academia highlight her contributions to noise reduction, microphone array systems, and sensor technologies. Active in academic service, she contributes to the Office of the Provost at Curtin's Perth campus. Her lab and team focus on advancing signal processing solutions for real-world challenges in audio, communications, and control systems.

Vinesha PeirisView profile

Research Fellow

• Optimization
• Approximation Theory
• Operations Research
• +3 more

Dr. Vinesha Peiris is a Research Fellow at Curtin University's School of Electrical Engineering, Computer and Mathematical Sciences (EECMS), within the Faculty of Science and Engineering. Her work focuses on optimization, approximation theory, and operations research with applications in neural networks and computational mathematics. She holds a PhD in Applied Mathematics from Swinburne University of Technology (2022), a BSc (Hons) in Mathematics from the University of Sri Jayewardenepura (2017), and a Graduate Certificate in Research and Innovation Management (Swinburne, 2022). Dr. Peiris' research emphasizes rational approximation methods, nonsmooth optimization, and their applications in deep learning. She has received notable awards, including the Maryam Mirzakhani Award (2022), Kovalevskaya Grant (2022), and BH Neumann Prize (2020). Her publications span interdisciplinary topics like neural network architectures, insecticide resistance modeling, and matrix function approximations. Professional memberships include the Australian Mathematical Society (AustMS), Mathematics of Computation and Optimisation (MOCAO), Australia and New Zealand Industrial and Applied Mathematics (ANZIAM), and the Women in Mathematics Special Interest Group (WIMSIG).

• Artificial Intelligence
• Machine Learning
• Fuzzy Systems
• +6 more

Kevin Wong is a Professor and Associate Dean (Research) at the School of Information Technology, Murdoch University. He holds leadership roles including President of the Asia Pacific Neural Network Society (APNNS) and Governing Board member of the IEEE Systems, Man, and Cybernetics Society. He is a Senior Member of IEEE, ACS, and APNNS, and a Certified Professional of ACS. His research focuses on AI (including Deep Learning, Fuzzy Systems, Evolutionary Algorithms), Intelligent Data Analysis, Serious Games, and Virtual Reality, applied across Health, Agriculture, Biosecurity, Business, Defence, Education, and Engineering sectors. Dr. Wong collaborates extensively with industries to develop AI and VR solutions. His affiliations include Murdoch University's College of Science, Technology, Engineering and Mathematics.

• Digital Microelectronics
• Computer Engineering
• Computer Arithmetic
• +4 more

Associate Professor Braden Phillips is the Deputy Dean of Learning and Teaching in the Faculty of Sciences, Engineering and Technology at the University of Adelaide. He holds a joint appointment in the School of Electrical and Electronic Engineering. His academic career includes roles as a lecturer at Cardiff University (2000–2002) and founding partner of Current Dynamics, an electronic hardware design venture. Phillips specializes in digital microelectronics and computer engineering, with research focusing on computer arithmetic, cognitive computing architectures, and high-level digital logic synthesis. He has contributed to educational scholarship through work on active learning, scalable assessment, and inclusive pedagogy. His supervisory record includes over a dozen PhD students in areas spanning embedded systems, reconfigurable computing, and low-power design. Phillips’ research has been published in leading journals and conferences, addressing challenges in hardware optimization and algorithmic efficiency. Education: PhD in Computer Engineering (thesis: 'An Optimised Implementation of Public Key Cryptography for Smart Card Processors') Teaching: Coordinated courses in analog/digital electronics, embedded systems, and microelectronics design. Affiliations: Adelaide Education Academy, Diversity and Inclusion in Teaching Community of Practice. Research Themes: His work bridges hardware design and educational innovation, with recent emphasis on cognitive architectures and curriculum design. Key contributions include approximate computing methodologies, decimal floating-point arithmetic implementations, and minimal-weight digit conversion algorithms.

Hergen BuscherView profile

Associate Professor

• Intensive Care Medicine
• Extracorporeal Life Support
• ECMO
• +3 more

Associate Professor Hergen Buscher is a leading clinician-scientist in intensive care and extracorporeal life support (ECLS) based at St Vincent’s Hospital, Sydney, and holds a conjoint academic appointment as Senior Lecturer at the University of New South Wales (UNSW). His clinical and research expertise centres on extracorporeal membrane oxygenation (ECMO), blood management, anticoagulation strategies, and critical care outcomes in cardiac and lung transplant recipients. Education and Qualifications: Dr. med., University of Göttingen, Germany Fellow of the College of Intensive Care Medicine (FCICM) European Diploma in Intensive Care Medicine (EDIC) Diploma of the European Academy of Anaesthesiology (DEAA) Specialist for Anaesthesia, Intensive Care and Preclinical Emergency Medicine (Germany) Research Interests: Dr Buscher’s research spans the full spectrum of extracorporeal life support, with a focus on optimising anticoagulation and blood management during ECMO. His work explores the physiological and pharmacological alterations in critically ill patients supported by ECLS, aiming to improve survival and long-term quality of life. He leads multi-centre trials and registry analyses to advance evidence-based practices in cardiac arrest resuscitation using ECMO, and in perioperative care of transplant recipients. Scientific Output and Impact: His publication record includes over 129 journal articles, book chapters, and conference presentations, with an h-index of 16 and more than 600 citations. His recent work addresses long-term outcomes, psychological sequelae, and quality of life in ECMO survivors, as well as economic evaluations and clinical decision-making algorithms. Grants and Funding: 2011: Sedation practice in ECMO 2012: Cost and Quality of Life Analysis in E-CPR 2014: ASAP – Pharmacokinetics during ECMO 2014: Lung and diaphragm ultrasound in ICU 2015: ELSO-funded bleeding algorithm trial 2016–2021: Multiple NSW Health and ELSO grants Teaching and Supervision: He provides bedside teaching for final-year medical students in the ICU and delivers regular lectures on critical care and resuscitation. He supervises undergraduate and honours projects in intensive care and ECMO-related topics.

• Optimization
• Data Analytics
• Metaheuristic Methods
• +10 more

Professor Regina Berretta is an Honorary Professor at the University of Newcastle's School of Information and Physical Sciences, specializing in Computing and Information Technology. With expertise spanning computer science, mathematics, and applied optimization, she has established herself as a leading researcher in metaheuristic methods for solving complex combinatorial problems. Currently serving as a Chief Investigator at the ARC Training Centre for Food and Beverage Supply Chain Optimisation, she applies her mathematical modeling skills to address critical challenges in food industry supply chains, with the Centre receiving over $2 million in funding to train next-generation researchers. Professor Berretta earned her PhD, Master of Engineering (Electrical), Bachelor of Mathematics, and Teachers Certificate from Universidade Estadual de Campinas in Brazil. Her educational background in computational and applied mathematics has provided the foundation for her extensive research career focused on integer programming and metaheuristic approaches to optimization problems. Her academic journey includes progression from Lecturer at the University of Newcastle (2003-2007) to various leadership positions including Head of Discipline of Computer Science and Software Engineering (2011-2014) and Assistant Dean of Equity, Diversity and Inclusion (2019-2022). Her research expertise centers on the design of mathematical models and development of efficient computational techniques to tackle large and complex combinatorial optimization problems across diverse application areas. Professor Berretta has made significant contributions to bioinformatics through her work on genetic signature identification from gene expression datasets, and to supply chain optimization through her research on perishable food inventory management, lot sizing, and scheduling problems. Her methodological specialties include memetic algorithms, evolutionary computation, and integer programming approaches that have proven effective for problems that are otherwise computationally intractable. Analysis of her recent publications reveals a strong interdisciplinary focus, with optimization techniques increasingly applied to food supply chain challenges while maintaining connections to bioinformatics applications. Her work demonstrates a consistent pattern of translating theoretical optimization methods into practical solutions for industry problems, particularly in the agricultural sector. Additionally, her more recent publications show growing engagement with gender equity issues in STEM fields, reflecting her leadership in relevant initiatives. Co-founder of HunterWISE, promoting girls and women in STEM Leader of Google CS4HS project for five consecutive years Recipient of over $4 million in research funding through 35 grants Author of more than 80 papers and book chapters Chief Investigator at ARC Training Centre for Food and Beverage Supply Chain Optimisation Professor Berretta has demonstrated exceptional leadership through her administrative roles and community initiatives. As co-founder of HunterWISE, she has developed a comprehensive approach to increasing female participation in STEM through school programs and professional networking events. Her leadership of the Google CS4HS project has directly impacted high school computer science education in the Hunter region. Her research collaborations span multiple disciplines and institutions, reflecting her ability to bridge theoretical computer science with practical industry applications, particularly in the food supply chain sector where her optimization models have demonstrated significant cost and waste reduction potential.

Muxina KonarovaView profile

Senior Lecturer

• Catalysis
• Sustainable Energy
• Chemical Engineering
• +3 more

Dr Muxina Konarova is a Senior Lecturer at the School of Chemical Engineering , University of Queensland, with a research program focused on sustainable chemical processes and catalyst design for circular economy applications. She has led four academia/industry projects since 2016 , securing over $5M in funding through mechanisms like Advance Queensland Research Fellowships, ARC Linkage, and ARENA-UQ grants. PhD in Chemical Engineering, Tokyo Institute of Technology MEng (Coursework), Tokyo Institute of Technology Her research interests span catalyst development for biomass, plastic waste, and CO2 feedstocks, addressing challenges in reactor design , mass/heat transfer optimisation , and selective chemical conversion . Recent projects include methane pyrolysis in molten salts , CO2 methanation , and hybrid chemical-biocatalytic lignin valorisation . Article trends indicate expertise in catalytic conversion of renewable feedstocks ( biomass, plastic waste, CO2 ), nanostructured catalysts , and hydrogen technologies . She has contributed to 83 journal articles , 3 book chapters , and 2 conference papers . Scientific awards include: Advance Queensland Industry Research Fellowships (Mid-Career) ARC Research Hub for Carbon Utilisation and Recycling Outstanding Reviewer for Sustainable Energy & Fuels (2023) ARENA-UQ funding As an educator, she teaches Energy Transitions in Industrial Processes (ENGY7003) and Process Modelling and Control (CHEE3007) . Her supervision portfolio includes PhD students working on lignin valorisation , mixed waste catalysis , nano-plastics , and hydrogen production .

• Forecasting
• Time Series Analysis
• Computational Statistics
• +5 more

Rob J Hyndman is a Professor of Statistics at Monash University, Australia, specializing in forecasting, time series analysis, and computational statistics. He holds roles such as Director of the International Institute of Forecasters (2005–2018) and Editor-in-Chief of the International Journal of Forecasting . His academic qualifications include a BSc(Hons) and PhD from the University of Melbourne. Research interests focus on forecasting methodologies, anomaly detection, and demography. Notable projects include energy analytics, hierarchical forecasting, and applications in healthcare and environmental data. He has supervised over 30 PhD/Master’s students and led major initiatives like the ARC Training Centre in Optimisation Technologies (OPTIMA). Key awards include the Pitman Medal (2021), Moran Medal (2007), and Australian University Teaching Awards. His work contributes to UN Sustainable Development Goals, particularly in sustainable energy and health systems. Active collaborations span global institutions, and he develops influential R packages like fpp3 , vital , and forecast . He organizes events like the WOMBAT workshop, promoting open-source tools for analytics.

Ratna SahaView profile

Senior Lecturer

• Machine Learning
• Artificial Intelligence
• Image Processing
• +6 more

Dr. Ratna Saha is a Senior Lecturer at Torrens University Australia, affiliated with the Business and Hospitality Centre for Artificial Intelligence Research and Optimisation (AIRO). She holds a PhD in Computer Science from Flinders University and a BSc in Computer Science and Engineering from Khulna University, Bangladesh. With over 17 years of experience in academia and industry, she focuses on machine learning, medical image analysis, AI-driven healthcare solutions, and generative AI in education. Her research bridges technical innovation with societal impact, particularly in underdeveloped regions. Education: PhD in Computer Science (2020), Flinders University, Australia (Focus: Image Segmentation with Prior Guidance in Cervical Cytology) BSc in Computer Science and Engineering (2007), Khulna University, Bangladesh (Focus: Component-Based Face Detection via SVM) Research Interests: Dr. Saha’s work spans machine learning applications in healthcare diagnostics (e.g., cervical cell segmentation), AI-driven education innovation, and industry 4.0 transformations. She emphasizes interdisciplinary approaches, integrating image processing techniques with medical pathology and leveraging generative AI to enhance learning experiences. Her recent studies explore assembly line optimization in manufacturing and social impacts of business incubation centers in developing economies. Collaborations and Impact: Her research networks span Australia, Bangladesh, and Pakistan, with projects addressing global challenges such as cervical cancer detection and skill development in IT sectors. She actively mentors HDR students in machine learning-based disease prediction and data-driven decision-making frameworks. Current projects include optimizing labor costs in assembly lines using time-study models and fostering entrepreneurial ecosystems through smart educational tools. Professional Experience: Senior Lecturer (Torrens University, 2020–present) Casual Academic (Flinders University, 2016–2020) Lecturer (Khulna University, 2012–present) Senior Software Engineer (Dohatec New Media, 2010–2012) Research Themes: Her publications reflect expertise in medical image segmentation (e.g., cervical nucleus detection), optimization algorithms (e.g., evolutionary harmony search), and socio-economic transformations via technology. Recent trends highlight her shift toward applied AI in education and industry 4.0, complementing her foundational work in computer vision and medical diagnostics. Advising and Grants: Dr. Saha supervises PhD students in machine learning and data-driven healthcare. She has secured research grants focusing on AI applications in education and healthcare, and her work is cited across interdisciplinary fields (h-index: 6, 102 citations).

• Process Modelling
• Business Process Automation
• Software Engineering
• +7 more

Dr. Torab Torabi serves as an Adjunct Senior Lecturer in the Department of Computer Science & Information Technology at La Trobe University, Melbourne, Australia. He has held academic roles since 1992, including Senior Lecturer at La Trobe since October 1999 and a prior Lecturer position at Auckland University of Technology (1997–1999). His expertise spans Process Modelling, Business Process Automation, Software Engineering, and Industry Engagement. Dr. Torabi holds a PhD from La Trobe University and an MSc from SUNY. Research Focus: His work emphasizes ontology-based solutions for organizational goals, process monitoring, and healthcare informatics. Notable projects include the ASDC initiative for autism therapy tracking and the SENDER app for dementia care in rural communities. His research integrates data science with enterprise decision-making frameworks. Grants: Maritime Information and Decision Support using ECDIS (2016–2017) Optimised Maritime Heading Control and Track Control with ECDIS (2016–2017) Algorithms for Ship Training Simulator Visuals (2015–2016) Real Estate Tube R&D Project (2013–2014) Community Contribution: Contributed to ASDC, a cloud-based app for autism therapy planning and progress tracking, tested with Australian and American partners. Publications: Over 90 peer-reviewed outputs, including ontology-driven frameworks for petroleum plant maintenance, aviation data exchange systems, and aphasia communication challenges in healthcare settings.