Find Academic Supervisors

• Cyber-Physical Systems
• Internet of Things (IoT)
• Edge Computing
• +4 more

Prof Jiong Jin is a Full Professor and Academic Director (Research Training) at Swinburne University of Technology's School of Science, Computing and Engineering Technologies. He holds a B.Eng (First Class Honours, Nanyang Technological University) and a Ph.D. (University of Melbourne). His research focuses on networked systems, IoT, edge computing, and robotics automation, with applications in smart manufacturing, transportation, and cities. Research Interests: Control and optimization of networked/embedded systems Edge/fog computing architectures Cyber-physical systems and IoT applications Autonomous robotic systems Real-time distributed algorithms Recent Publications: Recent work includes groundbreaking contributions in edge-IoT frameworks (Farm-LightSeek), cloud-fog automation paradigms, and adversarial machine learning defenses. His research bridges theory and practice through collaborations with industry partners like KDDI Research and IMCRC. Awards & Recognition: 2020 School Research Excellence Award 2019 Faculty Mid-Career Researcher Award Commendation Top 2% global cited scientists (Stanford, 2019) AI 2000 Most Influential Scholars (2021/2022) Grants & Collaborations: Australian Research Council (ARC) Linkage Projects CSIRO Data61 collaborations Industry partnerships with YSTC Energy, IMCRC, and iMOVE Australia Lab & Teams: Leads a multidisciplinary team advancing industrial IoT and smart systems through projects like the Factory-in-a-Box platform and virtual manufacturing solutions. His lab emphasizes practical industry applications of theoretical advancements.

• AI-driven electronic design
• Machine Learning
• Optimization techniques
• +5 more

Bo Liu is a Professor of Electronic Design Automation at the University of Glasgow, specializing in AI-driven electronic design. He holds a B.Eng. from Tsinghua University (2008) and a Ph.D. from KU Leuven (2012). Previously, he was a Humboldt Research Fellow (2012–2013), Lecturer at Wrexham Glyndŵr University (2013–2020), and promoted to Reader (Associate Professor) in 2016 before joining Glasgow in 2020. Research focuses on AI-driven methodologies for analog ICs, antennas, and microwave systems. Key contributions include pioneering AI-assisted optimization in RF design and first industrial-use AI tools for mm-wave ICs. His work bridges machine learning and domain knowledge, addressing bottlenecks in electromagnetic simulations and antenna design complexity. He leads the AIDAC lab and collaborates with industry on EDA tools. Scientific awards include Fellow of IET and Senior Member of IEEE. He serves as an associate editor for IEEE Transactions on CAD and Complex and Intelligent Systems. Current research explores AI-driven design tools, including funded PhD projects on microwave filters, analog IC optimization, and 5G antennas.

• Mining Technology
• Electrical Engineering
• Optimization
• +3 more

Dr. Hirad Assimi is a Grant-Funded Researcher A in the School of Electrical and Mechanical Engineering at the University of Adelaide, affiliated with the Faculty of Sciences, Engineering and Technology. His research focuses on multidisciplinary engineering solutions to enhance efficiency, reduce operational costs, and advance sustainable technologies. He holds a PhD from the Integrated Mining Consortium, where he addressed real-world challenges in mining technologies, particularly stockpile management. Currently, he leads the Mine Operational Vehicles Electrification (MOVE) project, funded by the Future Battery Industries Cooperative Research Centre (FBICRC), aiming to transition mining operations toward battery-supported systems. His work bridges academic research with industrial applications, emphasizing optimization, renewable integration, and electrification in mining. Research Interests: Mining Technology Optimization, Sustainable Energy Systems, Electrification of Mining Fleets, Multi-objective Optimization Algorithms, and Process Automation in Mining Operations. His publications span optimization techniques (e.g., particle swarm algorithms) and applications in mechanical engineering design. Advisory Role: Eligible to supervise Masters and PhD students as a Co-Supervisor. Grants: MOVE project funding from FBICRC. Collaboration: Active in the MOVE project team, developing decision-making tools for mining electrification.

• Civil Engineering
• Optimisation
• Applied Mathematics
• +3 more

Aly-Joy Ulusoy is an Imperial College Research Fellow in the Department of Civil and Environmental Engineering at Imperial College London, affiliated with the Faculty of Engineering and the Grantham Institute. Her research focuses on optimisation methods for the design and control of water distribution networks, integrating adaptive systems, hydraulic modeling, and resilience analysis. She holds a Ph.D. (2021) and M.Sc. (2016) from Imperial College London, and an M.Sc. from École Supérieure d’Électricité, France (2016). Previously, she worked as a postdoctoral researcher in Dr. Ivan Stoianov's InfraSense Labs. Education: Ph.D. in Civil and Environmental Engineering, Imperial College London (2021) M.Sc. in Civil and Environmental Engineering, Imperial College London (2016) M.Sc., École Supérieure d’Électricité, France (2016) Her research interests span optimisation algorithms for water network control, adaptive hydraulic systems, data-driven hydraulic modeling, and resilient infrastructure design. Recent work emphasizes dynamically adaptive networks for pressure management, fault localization, and integration of AI for demand forecasting. She explores multi-objective optimization techniques to balance operational efficiency and resilience in water distribution systems. Key research trends include: (1) distributed optimization for real-time control under time-coupling constraints, (2) interpretable AI for water demand prediction, and (3) principled approaches for model maintenance using principal component analysis. Her work bridges theoretical optimisation with practical water infrastructure challenges. Advising and grants: No specific advisees or grants listed. Affiliated with InfraSense Labs, focusing on smart infrastructure and sensor networks. Active in developing methodologies for network resilience under uncertainty. Ongoing projects include adaptive MPC strategies for burst incident management and design-for-control frameworks for dynamically adaptive systems.

Jonathan BardView profile

Professor

• Operations Research
• Industrial Engineering
• Logistics Optimization
• +6 more

Jonathan Bard is a Professor of Operations Research & Industrial Engineering at the University of Texas at Austin, holding the Industrial Properties Corporation Endowed Faculty Fellowship in Engineering. He serves as Associate Director of the Center for the Management of Operations Logistics and Assistant Graduate Advisor for the Manufacturing Systems Engineering Program. His academic journey includes a D.Sc. in Operations Research from George Washington University, an M.S. in Aeronautics & Astronautics from Stanford University, and a B.S. in Aeronautical Engineering from Rensselaer Polytechnic Institute. Dr. Bard's research focuses on algorithm development for airline operations, vehicle routing, machine scheduling, and large-scale optimization. He is internationally recognized for expertise in bilevel programming and postal operations. His work integrates decomposition techniques for hierarchical planning and multicriteria decision-making in socio-economic systems. Bard advises government agencies and corporations, and contributes to editorial boards of journals like International Journal of Production Research and IEEE Transactions on Engineering Management . His recent articles address challenges in freight rail scheduling, kidney exchange systems, waste management optimization, and healthcare logistics. Awards include Fellowships from INFORMS and IIE, and Senior Membership in IEEE. Bard’s consulting spans industries, emphasizing real-world applications of operations research principles.

Pu WangView profile

Associate Professor

• Computer Networking
• Cyber-Physical Systems
• Internet of Things
• +4 more

Pu Wang is an Associate Professor in the Department of Computer Science at the University of North Carolina at Charlotte (UNC Charlotte), part of the College of Computing and Informatics (CCI). His research focuses on networked systems, generative AI, computer vision, and computational biomechanics. He holds a Ph.D. from Georgia Institute of Technology (2013) and previously served as an Assistant Professor at Wichita State University (2013–2016). Education: B.E. in Electrical Engineering, Beijing Institute of Technology, 2003 M.E. in Electrical and Computer Engineering, Memorial University of Newfoundland, 2008 Ph.D. in Electrical and Computer Engineering, Georgia Tech, 2013 Research interests include modeling of networked systems (e.g., Software Defined Networking, IoT), AI-driven human mesh recovery, and biomechanically accurate 3D pose estimation. His work is supported by NSF grants and has led to advancements in federated learning, motion synthesis, and underwater communication systems. Awards and Honors: John A. See Innovation Award (Wichita State, 2016) BWN Lab Researcher of the Year (Georgia Tech, 2012) Best Student Paper Runner-Up (IEEE SCC 2016) Fellow of Memorial University’s School of Graduate Studies (2008) Key publications span top venues like ICCV, CVPR, AAAI, and IEEE journals, addressing topics such as masked motion control, vision-language models, and federated learning optimization. He actively mentors graduate students in AI/ML, computer vision, and network systems.

• Humanitarian operations
• Sustainable and socially responsible operations
• Operations and Supply Chain Analytics
• +2 more

Alborz Hassanzadeh is an Assistant Professor of Operations and Supply Chain Analytics at NEOMA Business School, France. His research focuses on humanitarian operations, sustainable operations, and retail analytics. He has published in top-tier journals like European Journal of Operational Research and Applied Soft Computing. Ph.D. in Operations and Data Analytics from ESSEC Business School (France) Postdoctoral Fellow at HEC Montréal (Canada) Visiting Research Scholar at IESE Business School (Spain) His work addresses complex challenges in humanitarian aid supply chains, contract design, and multi-objective optimization. Key methodological domains include heuristic algorithms, decision support systems, and sustainable logistics. Recent publications demonstrate expertise in resource allocation, scheduling, and consumer behavior modeling. He serves as an ad hoc reviewer for multiple journals and applies his industry experience in manufacturing and retail to academic research. Collaborations span international institutions, with presentations at conferences like EURO, POMS, and ISMP.

Gulesin Sena DasView profile

Lecturer

• Circular Economy and Sustainable Supply Chains
• Mathematical Modeling for Sustainable Production
• Multi-objective Modelling
• +7 more

Dr. Gulesin Sena Das is a Lecturer in Supply Chain Management at De Montfort University, affiliated with the Faculty of Business and Law and based in the School of Leadership, Management and Marketing. Her work bridges operations research, artificial intelligence, and sustainable supply chain systems, focusing on real-world industrial applications. Her research interests include: Circular Economy and Sustainable Supply Chains Mathematical Modeling for Sustainable Production Multi-objective Modelling Green Supply Chain Management Logistics and Transportation Management Sustainable Aviation Combinatorial Optimization Dr. Das's recent publications reflect a strong trend in applying advanced optimization techniques—particularly stochastic, bi-objective, and column generation methods—to complex logistical and industrial problems such as airport gate assignment, satellite design, industrial symbiosis networks, and team formation. Her work integrates sustainability goals with operational efficiency, often leveraging AI and mathematical programming frameworks. She actively supervises MSc and PhD students and welcomes research proposals in sustainability-driven supply chain modeling. She also serves as a reviewer for top-tier journals including Omega , Applied Soft Computing , and IEEE Transactions on Systems, Man, and Cybernetics: Systems . Teaching areas include Supply Chain Management, Project Management, Management Information Systems, and Sustainable Aviation.

Joan DudaView profile

Professor

• Sport Psychology
• Exercise Psychology
• Motivational Processes
• +8 more

Professor Joan Duda is a leading academic in Sport and Exercise Psychology at the University of Birmingham’s School of Sport, Exercise and Rehabilitation Sciences, and holds an adjunct professorship at the University of Bergen, Norway. She is internationally recognized for her research on motivation, adherence, and optimal functioning in physical activity contexts. Ph.D., University of Illinois at Urbana-Champaign (1981) M.S., Purdue University (1978) B.A., Rutgers University (1977) Her research integrates theoretical frameworks with methodological rigor, focusing on motivational processes in sport, exercise, and dance. She develops and evaluates theory-based interventions for both healthy and clinical populations across the lifespan. Her work spans field and laboratory studies using advanced quantitative and qualitative methods. Professor Duda leads the Motivating Healthy Lifestyle theme within the Centre for Obesity Research and is affiliated with the Center on Healthy Ageing and the Institute of Sport, Exercise and Movement. Her recent publications reflect a strong trend in applying motivational science to clinical and public health contexts, particularly in managing chronic conditions like rheumatoid arthritis, osteoarthritis, and cancer. She frequently investigates autonomous motivation, sedentary behavior, physical activity adherence, and intervention development using mixed-methods and randomized trial designs. Honorary Doctoral Degree, Norwegian School of Sport Sciences (2008) Visiting International Scholar, Australian Sport Psychology Society (1997) Fellow, Association for the Advancement of Applied Sport Psychology Fellow, European College of Sport Sciences Fellow, International Association of Applied Psychology Fellow, American Academy of Kinesiology and Physical Education Professor Duda has led major funded projects totaling over £3 million from bodies including the European Commission, UK Medical Research Council, and The FA. She has advised elite athletes and teams, including the USA Gymnastics Women’s Olympic Team (1996), and currently serves as performance psychology consultant for the Birmingham Royal Ballet. She has held editorial roles in top journals such as Journal of Applied Sport Psychology and Motivation and Emotion , and is actively involved in professional leadership, including past presidency of AASP and service on the ECSS Scientific Committee. She leads research teams and mentors doctoral researchers, contributing significantly to the training of future scholars in applied sport psychology.

• Analysis on metric spaces
• Geometric measure theory
• Harmonic analysis

Scott Zimmerman is an Associate Professor of Mathematics at The Ohio State University at Marion. His research focuses on geometric measure theory, analysis in metric spaces (particularly Carnot groups like the Heisenberg group), and harmonic analysis. He explores extension problems, Whitney extension theorems, and Lusin approximation for curves in non-Euclidean settings. Research Areas: Analysis on metric spaces, Geometric measure theory, Harmonic analysis His work often addresses theoretical challenges in sub-Riemannian geometry, such as curve regularity, singular integrals, and Sobolev extensions. Recent contributions include advancements in Whitney extension theorems for horizontal curves in Heisenberg groups and studies of 1-rectifiable measures in Carnot groups. His articles highlight interdisciplinary connections between pure mathematics and applied fields like computer vision (e.g., object tracking in video data). Despite no listed awards, his research demonstrates sustained innovation in geometric analysis. No advising or grant details are provided, but his active publication record reflects ongoing academic engagement.

Antonio VioliView profile

Associate Professor

• Stochastic Programming
• Risk Management
• Energy Procurement
• +4 more

Antonio Violi is an Associate Professor at the University of Sannio (UNISANNIO) in the Department of Law, Economics, Management and Quantitative Methods (DEMM). His research focuses on stochastic programming applications in industrial optimization, energy systems, and logistics. Key research areas include: Stochastic Optimization Risk Management Energy Procurement Smart Mobility Solutions Industrial Performance Modeling Logistics Network Optimization Recent publications (2024) address advanced models for: Production error prevention Dynamic performance evaluation systems Tourism car-pooling optimization Earlier works cover energy market modeling (2008-2021), logistics e-marketplaces (2018), and agri-food supply chain dynamics (2023).

• Multiobjective Decision Making
• Combinatorial Optimization
• Scheduling
• +3 more

Özgür Özpeynirci is an Assistant Professor at the Department of Logistics Management, Izmir University of Economics, where he has been employed since February 2008. His research focuses on multiobjective decision making, combinatorial optimization, and scheduling, bridging theoretical and applied aspects of operations research and logistics. B.S., M.S., and Ph.D. in Industrial Engineering from Middle East Technical University (2002, 2004, 2008) Researcher at TÜBİTAK (2001-2007) His scholarly work integrates operations research, decision theory, and logistics. He has pioneered interactive algorithms for multi-criteria sorting and resource allocation, addressing complex problems in transportation, biofuel contracts, and digital transformation. His research often applies mathematical modeling and optimization techniques to real-world scenarios. Scientific awards include the 2011 Best Doctoral Dissertation Award from the International Society on Multiple Criteria Decision Making. His publications span high-impact journals like Management Science and European Journal of Operational Research , emphasizing algorithm design, logistics performance, and multiobjective programming. Co-authors like Vincent Mousseau and Selin Özpeynirci indicate collaborative research across Turkey and global institutions.

• Mathematical Modeling
• Data Analytics
• Logistics Systems Design and Analysis
• +1 more

Sinem Tokcaer is an Assistant Professor in the Logistics Management Department at Izmir University of Economics . She holds a PhD in Business Administration from the same institution and completed postdoctoral research at the University of Illinois Urbana-Champaign. With six years of professional experience in logistics companies, she specializes in mathematical modeling and data analytics for logistics systems design and analysis. Education PhD in Business Administration (2018), Izmir University of Economics M.A. in Maritime Transportation and Logistics (2010), Dokuz Eylül University B.A. in European Union Relations (2005), Bahçeşehir University Her research focuses on multimodal transportation optimization, contract design in biofuel enterprises, and dynamic capabilities in logistics operations. She co-founded a startup providing decision support systems for long-haul logistics providers. Recent publications address bi-objective transportation planning, cellulosic biofuel contract mechanisms, energy security frameworks for Turkey, and timely delivery optimization in logistics networks. These works span operations research, supply chain analytics, and sustainability-focused logistics.

Mohamed Nabil LokbaniView profile

Lecturer

• Speech Processing
• C++ Programming
• Android Mobile Development
• +5 more

Mohamed Nabil Lokbani is a Lecturer and Chief of Laboratories (IT Director) at the Department of Computer Science and Operational Research within the Faculty of Arts and Sciences at the University of Montreal . Holding a Ph.D. in Automatic and Signal Processing (1993) from Paris-XI University, he has been teaching since 1999 and managing the department's technical support team since 2007. Education : Doctorate in Automatic and Signal Processing (1993), Paris-XI University Master's (DEA) in Automatic and Signal Processing (1990), Paris-XI University Electrical Engineering Degree (1989), Houari Boumedienne University Research Interests span speech recognition algorithms, bi-text alignment tools, cross-platform software portability, and programming education. He developed the Aladin translation memory tool and focuses on practical software solutions for linguistic and engineering challenges. Teaching includes courses like: Advanced C++ Programming , Big Data Processing , Android Mobile Development , and foundational Java/Python courses. His lecture notes for these courses are frequently updated. Publications reflect expertise in speech recognition, software portability, and translation technology, with technical reports dating from 1990 to 2023. Professional Roles : Chief of Laboratories (IT Director) at DIRO since 2007 Technical Support Team Member (2000-2007) Graduate Studies Committee member since 2004 Researcher at L2S Supelec and CNET France Telecom

• Combinatorial Optimization
• Quadratic Programming
• Binary Optimization
• +5 more

Cédric Elloumi is a Professor at the CEDRIC Laboratory within Conservatoire National des Arts et Métiers (CNAM), specializing in combinatorial optimization and mathematical programming. With a continuous publication record since 1992, he has established himself as a leading researcher in quadratic programming, binary optimization, and facility location problems. His research interests focus on developing exact and approximate methods for discrete optimization problems, particularly through convex reformulation techniques. Elloumi has made significant contributions to the p-center and p-median problems, quadratic assignment problems, and more recently, quantum-inspired optimization methods. His work bridges theoretical advancements with practical applications in network design, energy systems, and telecommunications. Analysis of his recent publications (2022-2025) reveals a continued focus on facility location problems, with increasing attention to robust optimization under uncertainty and emerging applications in quantum computing. His research demonstrates consistent methodological innovation, particularly in reformulation techniques that transform difficult non-convex problems into tractable forms. Throughout his career, Elloumi has maintained extensive collaborations with researchers including Billionnet, Lambert, Alès, and Plateau, resulting in numerous publications in top-tier optimization journals such as Journal of Global Optimization, Computers and Operations Research, and Mathematical Programming.