Find Academic Supervisors

• Control Theory
• Model Predictive Control
• Data-Driven Control
• +5 more

Frank Allgöwer is a Professor and Head of the Institute for Systems Theory and Control Engineering at the University of Stuttgart's Faculty of Engineering. With an extensive publication record through 2025, he leads a prominent research group specializing in advanced control theory methodologies. His research interests span multiple domains of modern control theory, with particular emphasis on Model Predictive Control (MPC), data-driven control approaches, nonlinear systems analysis, and event-triggered control strategies. His work bridges theoretical foundations with practical implementations, focusing on stability guarantees, performance optimization, and computational efficiency. Recent research shows a strong focus on Koopman operator theory applications to control systems, distributed multi-agent coordination, and the integration of machine learning techniques with traditional control frameworks. Analysis of his 15 most recent publications reveals a consistent research trajectory centered around developing theoretically sound control methodologies with practical applicability. His work demonstrates increasing integration of data-driven approaches with traditional model-based control, particularly in the areas of nonlinear system control and distributed multi-agent systems. The publications span top-tier control journals including IEEE Transactions on Automatic Control, Automatica, and IEEE Control Systems Letters. Professor Allgöwer actively mentors numerous junior researchers, with frequent collaborations suggesting a strong supervisory role for PhD students and postdoctoral researchers. His group maintains productive international collaborations while being firmly rooted at the University of Stuttgart.

Richard D GonzalezView profile

Professor

• Judgment and Decision Making
• Mathematical Modeling
• Statistical Analysis
• +4 more

Richard D Gonzalez serves as the Amos N Tversky Collegiate Professor of Psychology and Statistics at the University of Michigan, holding dual appointments in the Department of Psychology and Department of Statistics within the College of Literature, Science, and the Arts. He concurrently holds the position of Research Professor and serves as Center Director of the Research Center for Group Dynamics at the Institute for Social Research, where he leads interdisciplinary research initiatives. His research program integrates mathematical modeling with empirical investigation across judgment and decision-making processes. Core expertise includes formal models of decision-making under risk and uncertainty, with direct applications in eyewitness identification, medical diagnostics, consumer behavior, and sustainability science. He pioneers statistical methodologies for dyadic data analysis and develops computational tools for group process modeling, significantly contributing to health psychology and gerontological research through collaborations with medical institutions. Recent publications demonstrate methodological innovation across computer science, neuroscience, and public health domains. His team develops AI-driven diagnostic tools like vision transformers for dementia classification and interactive visualization systems for caregiving dynamics. Research consistently addresses health disparities, aging populations, and crisis response systems, with strong emphasis on racial equity in stress physiology and pandemic-era healthcare adaptations. Gonzalez directs the Biosocial Methods Collaborative, fostering cross-disciplinary methodological development, and leads the Research Center for Group Dynamics which supports large-scale studies on social dynamics. His center serves as a hub for longitudinal research on marital relationships, family caregiving systems, and community resilience during public health emergencies, with direct policy implications for healthcare infrastructure.

• Computational Epidemiology
• Public Health
• Simulation Modeling
• +3 more

Dr. Ante Prodan serves as Senior Lecturer in Computational Epidemiology within the School of Computing & ICT at Western Sydney University, where he is also affiliated with the Translational Health Research Institute (THRI). His academic network extends to the University of Sydney's Brain and Mind Centre as Research Associate and Monash University's Psychiatry department as Adjunct Senior Lecturer. Additionally, he directs the charity Computer Simulation & Advanced Research Technologies, which builds global capacity in simulation technologies for health policy decisions. Dr. Prodan holds a PhD from the University of Technology, Sydney, establishing his foundation in computational methodologies. His research integrates dynamic data-driven simulation with public health applications, developing decision support systems through: Agent-based and discrete event modeling Metaprogramming techniques for complex systems AnyLogic multimethod simulation frameworks Statistical computing with R environment His work specifically targets persistent health challenges through computational epidemiology and healthcare simulation modeling. Dr. Prodan actively contributes to online education while leading global capacity-building initiatives through his charity directorship, focusing on translating advanced research technologies into practical policy tools for health and social systems worldwide.

• Molecular Dynamics
• Theoretical Chemistry
• QM/MM Models
• +3 more

Prof. Dr. Bettina G. Keller is a Professor of Theoretical Chemistry at Freie Universität Berlin, leading the Keller Lab in the Department of Physical and Theoretical Chemistry. Her research integrates molecular dynamics simulations, QM/MM models, and kinetic analyses to study biomolecular systems, chemical reactions, and allosteric mechanisms. She collaborates extensively within SFB consortia and GRK research training groups. Her work spans: Development of grid-based models for molecular association Allosteric regulation in pathogen toxins Fluorination effects on protein-ligand interactions Glycopeptide hydrogel design Advanced sampling algorithms like Girsanov reweighting She has received multiple honors including the Hellmann-Preis (2018) and memberships in elite academies. Current projects involve: SFB 1449: Dynamic hydrogels at biointerfaces GRK 2662: Charging in the future VW Momentum: Molecular mobility Her lab maintains strong computational resources and open-source tools for the scientific community.

• Control Theory
• Estimation and filtering theory
• Complex dynamical distributed networks
• +3 more

Daniel W. C. HO is a Chair Professor of Applied Mathematics and Associate Dean (Undergraduate Education) at the College of Science, City University of Hong Kong. He has been with City University of Hong Kong since 1989, having previously served as a Research Fellow at the University of Strathclyde, Glasgow, UK from 1985 to 1988. Prof. Ho received first class honours in BSc, MSc, and PhD degrees in mathematics from the University of Salford, Greater Manchester, UK in 1980, 1982, and 1986, respectively. His academic journey began with foundational work in control theory and has evolved into a distinguished career spanning over three decades. Prof. Ho's research interests span multiple domains in control theory and systems engineering. His primary focus areas include Control Theory , Estimation and filtering theory , Complex dynamical distributed networks , Multi-agent networks , Nonlinear singular systems , and Stochastic systems . His work bridges theoretical advances with practical applications, particularly in networked control systems, cybersecurity for cyber-physical systems, and distributed optimization. Prof. Ho has made significant contributions to the understanding of synchronization phenomena in complex networks, resilient control under cyber attacks, and quantized control systems with communication constraints. His research has evolved from classical control theory to address contemporary challenges in networked and distributed systems, reflecting the changing landscape of control engineering. Prof. Ho's publication record shows a strong emphasis on secure control systems under cyber attacks, distributed optimization with communication constraints, event-triggered control schemes, quantized control systems, and synchronization of complex networks. His work demonstrates a consistent progression from theoretical foundations to addressing practical implementation challenges in cyber-physical systems, with increasing focus on security aspects in recent years. Prof. Ho has received numerous prestigious awards and honors throughout his career. He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2017 and elevated to IEEE Life Fellow status in 2024. He was awarded the Chang Jiang Chair Professorship by the Ministry of Education, China in 2012. Prof. Ho has been recognized as a Highly Cited Researcher for eleven consecutive years from 2014 to 2024, and is among the Top 2% of most highly cited scientists globally from 2020 to 2024. He received the Best Paper Award from The 8th Asian Control Conference in 2011 and the Teaching Excellence Award from City University of Hong Kong in 2020 for his innovative teaching approaches. Prof. Ho has held significant editorial responsibilities, serving as Subject Editor of the Journal of Franklin Institute, Co-Editor in Chief of Franklin Open, Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, Asian Journal of Control, and Action Editor of Neural Networks. He has also served on the editorial boards of several other prestigious journals, contributing to the advancement of his field through scholarly communication. His leadership extends beyond research and teaching as Associate Dean (Undergraduate Education) of the College of Science at City University of Hong Kong, where he plays a key role in shaping the educational experience for science students.

• Gender and Technology
• Intersectional Equality
• Inclusive Design
• +3 more

Dr. Siân Brooke serves as an Assistant Professor and MacGillavry Fellow at the Digital Interactions Lab (DIL), University of Amsterdam. Her interdisciplinary work bridges data science and critical social research to investigate gender and intersectional equality in technology interactions, with a focus on ethical AI and human-centered computing systems. Her research centers on gender dynamics in technology , inclusive platform design , and systemic bias mitigation in digital environments. Brooke employs mixed-methods approaches combining large-scale data analysis of platforms like GitHub and Stack Overflow with ethnographic studies and controlled experiments. Key themes include how programming styles reflect gender differences without impacting quality, how online labor markets perpetuate discrimination through design choices, and how internet memes reinforce toxic masculinity in physical tech spaces like hackathons. Analysis of her recent publications reveals consistent focus on exposing and redesigning discriminatory mechanisms in technology. Her 2024 work demonstrates how platform interventions (community composition, identity flairs) can reduce hiring discrimination in online labor markets, while her GitHub study proves gendered programming styles exist but don't correlate with code quality. A unifying thread across all work is the development of concrete design solutions for more equitable technology ecosystems. Dr. Brooke's recognition includes: NWO Veni Grant (€320,000) for "Human-Centered Code: Building Accessible IDEs for Neurodiverse Women in Computing Education" Leverhulme Early Career Fellowship examining gender in collaborative computing environments She actively mentors through hiring a PhD candidate for her NWO project (closing November 2024) and serves on the Open Tech Fund Advisory Council guiding global internet freedom initiatives. Her commitment to research transparency led to implementing Open Science Badges as Associated Editor for Data and Ethics, recognizing reproducible practices in scholarly work. Brooke leads the Digital Interaction Lab's research on technology equity, including the "Mock-Freelancer.com" experimental platform testing anti-discrimination interventions in online labor markets. Her lab collaborates across disciplines to develop accessible computing environments and policy recommendations for inclusive technology design, with recent work featured in LSE Research explaining gender disparities in programming.

• Control Theory
• Two-Dimensional Systems
• Singular Systems
• +6 more

Mariem Ghamgui is an Associate Professor in the Automatic Control and Systems Department at the National Engineering School of Poitiers (ENSIP), University of Poitiers. She conducts research at the Laboratory of Computer Science and Automatic Control for Systems (LIAS), with facilities at both ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil-du-Bois. Her expertise centers on control theory for multidimensional systems, specializing in stability analysis of 2D systems, singular systems, and time-delayed systems. She develops robust control methodologies using linear matrix inequalities (LMIs) and Lyapunov theory, with applications in networked control and engineering systems requiring guaranteed stability under parametric uncertainties. Her work bridges theoretical rigor with practical implementation challenges in complex dynamical systems. Analysis of her recent publications reveals a cohesive research trajectory focused on 2D system stability (2017-2023), singular system control (2018-2023), and time-delay analysis (2011-2015). She consistently employs LMI-based approaches to address stability, stabilization, and performance evaluation across hybrid, discrete, and continuous frameworks. Key contributions include strict LMI formulations for singular systems (2019) and event-triggered control solutions for singular systems (2023). Within LIAS, Professor Ghamgui is a core member of the Automatic Control Team, collaborating on theoretical and applied projects spanning both ENSIP and ISAE-ENSMA campuses. The team maintains active research in control systems theory, with publications in top-tier journals like IEEE Transactions on Automatic Control and Circuits, Systems, and Signal Processing.

Maxime FolschetteView profile

Associate Professor

• Computer Science
• Formal Methods
• Bioinformatics
• +3 more

Maxime Folschette is an Associate Professor at Centrale Lille Institut, affiliated with the CRIStAL research laboratory (UMR 9189) and the BioComputing research group. His position combines teaching responsibilities at Centrale Lille and its internal school IG2I with active research in computational biology and formal methods. His primary research focuses on the analysis and learning of dynamical biological models, with particular emphasis on formal methods applied to biological regulatory networks. His work spans multiple domains including Parameters Inference, Static Analysis, Polyadic μ-calculus, and Hoare Logic, all applied to biological systems modeling. Folschette's publications demonstrate a strong trend toward developing computational frameworks that bridge theoretical computer science with practical biological applications. His recent work shows increasing focus on hybrid modeling approaches that combine discrete and continuous dynamics, logical learning techniques for network inference, and applications in medical domains such as diabetes modeling and cancer research. ILP best paper award during IJCLR'2021 Best Paper Award for BIOINFORMATICS'2024 As an advisor, Folschette currently mentors two PhD students (Madeleine Eyraud and Karim Raqbi) and has successfully guided two PhD students to defense (Honglu Sun in 2023 and Danilo Dursoniah in 2024). His research is supported through multiple collaborations across France and Japan, particularly with the BioComputing team at CRIStAL. His laboratory work focuses on developing computational tools like Pint, Hybrid Hoare Logic tool, key-pipline, INEX-MED, and pyBRAvo for biological network analysis.