Find Academic Supervisors

Andrea CristofaroView profile

Associate Professor

• Robotic Systems
• Multi-Agent Systems
• Hybrid Systems
• +4 more

Andrea Cristofaro is an Associate Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome. He holds an M.Sc. in Mathematics (2005) from Sapienza University of Rome and a Ph.D. in Information Science and Complex Systems (2010) from the University of Camerino. His academic trajectory includes postdoctoral positions at INRIA Rhône-Alpes (France) and the Norwegian University of Science and Technology, followed by faculty appointments at the University of Camerino and University of Oslo before joining Sapienza in 2019. His research spans: Robotic systems : Fault-tolerant control, multi-agent coordination, and hybrid dynamics Distributed parameter systems : Stability analysis, observer design, and optimal control of PDEs Hybrid systems : Control synthesis for systems with state-driven jumps and switching logic Recent publications (2024-2025) predominantly explore fault-tolerant control architectures for multi-robot systems, decentralized task allocation, adaptive observer designs for biological and thermal systems, and optimal control of reaction-diffusion equations. This reflects a consistent focus on robustness in complex dynamical systems with applications ranging from industrial robotics to biomedical engineering. He serves as Associate Editor for Automatica and IEEE Transactions on Control Systems Technology , and is a member of the IEEE CSS Conference Editorial Board.

Lynn KamerlinView profile

Professor

• Computational Biophysics
• Molecular Evolution
• Enzyme Engineering
• +12 more

Lynn Kamerlin is a Professor at the Georgia Institute of Technology and co-leads the Kamerlin Laboratory, which operates across Georgia Tech and Lund University. Her work integrates computational chemistry and biophysics to address fundamental questions in enzyme evolution, catalysis, and protein design. Education MNatSc in Chemistry, University of Birmingham (UK) PhD in Chemistry, University of Birmingham (UK) Her research spans computational biophysics , focusing on mechanistic biochemistry , protein evolution , and enzyme engineering . Key methodologies include machine learning , molecular dynamics simulations , EVB/QM/MM modeling , and natural language models for protein structure prediction. Recent publications highlight trends in AI-driven enzyme design , conformational dynamics , and mechanistic studies of phosphoryl transfer reactions . Tools like WatCon and Q-RepEx demonstrate her commitment to method development in computational biology. Scientific Awards Georgia Research Alliance Eminent Scholar (2022-Present) Wallenberg Scholar (2020-2024) ERC Starting Grant (2012-2017) Wallenberg Academy Fellowship (2014-2019, prolonged 2019-2024) Young Academy of Europe Chair (2014-2015) Fellow of the Royal Society of Chemistry (2017) Her lab collaborates with experimental groups worldwide, leveraging enhanced sampling techniques and structural bioinformatics to engineer enzymes with tailored properties. Grants from the Swedish Research Council and European Research Council underpin her research on enzyme evolution and catalytic mechanisms. Current projects include computational design of thermostable enzymes , allosteric modulators for biomedical targets, and modular protein scaffolds . The lab also investigates non-canonical amino acid incorporation and FAIR data principles in biomolecular simulations.

• Nonlinear Filtering
• Multi-Object Tracking
• Deep Machine Learning
• +3 more

Lennart Svensson is a Professor at Chalmers University of Technology in the Signal Processing research group. His work focuses on nonlinear filtering, multi-object tracking, Bayesian statistics, and deep machine learning with applications in autonomous systems and sensor fusion. Research Interests Nonlinear Filtering and Bayesian Inference Multi-Object Tracking and Sensor Fusion Deep Learning for Autonomous Systems Performance Metrics (GOSPA, T-GOSPA) Lidar-Camera Fusion and Radiance Fields 5G SLAM and mmWave Sensing Publications Trends Recent work emphasizes uncertainty-aware multi-object tracking metrics, trajectory estimation using Poisson Multi-Bernoulli Mixtures, and sensor fusion techniques for autonomous driving. His research integrates Bayesian methods with deep learning for applications in automotive radar, lidar, and 5G positioning systems. Contact Email: lennart.svensson@chalmers.se

Julio SoriaView profile

Professor

• Fluid Mechanics
• Turbulence
• Turbulent Shear Flows
• +12 more

Julio Soria is a Professor in the Department of Mechanical & Aerospace Engineering at Monash University, where he also holds a leadership role at the Victorian Heart Institute (VHI). He has been a core academic staff member since 1993 and was promoted to full Professor in 2000. He founded and directs the Laboratory for Turbulence Research in Aerospace & Combustion (LTRAC), a key research hub in fluid dynamics. PhD in Mechanical Engineering, University of Western Australia (1989) B.E. (1st Class Honours), University of Western Australia (1983) Postdoctoral Fellowships: CSIRO (1989–1990), Stanford University & NASA Ames Research Center (1990–1991) His research spans Fluid Mechanics , with emphasis on turbulent flows , boundary layers , supersonic jets , and optical measurement techniques like PIV and tomographic methods. Recently, he has integrated scientific machine learning and physics-informed neural networks into fluid dynamics research. His work bridges engineering and biomedical applications, including drug delivery and cardiovascular flows. The most recent publications highlight his work in biomedical fluid dynamics (e.g., sperm motility), inhaler design using CFD and PIV, and advanced 4D imaging techniques. These reflect broad expertise in both experimental and computational methods. His scientific honors include: Fellow, Australasian Fluid Mechanics Society Associate Fellow, American Institute of Aeronautics and Astronautics (AIAA) Member, American Physical Society Member, EUROMECH He serves as Associate Editor of Theoretical and Computational Fluid Mechanics and on editorial boards of Experiments in Fluids and Experimental and Thermal Fluid Science . He leads multiple active research projects in turbulence, flow control, and biomedical applications, and is actively mentoring PhD students. He is also a key investigator in interdisciplinary collaborations involving medical devices and industrial fluid systems. Julio Soria leads the Laboratory for Turbulence Research in Aerospace & Combustion (LTRAC), established in 1994, which conducts cutting-edge research in experimental and computational fluid dynamics, with applications in aerospace, energy, and health.

Luke KellyView profile

Associate Professor

• Biomechanics
• Human Locomotion
• Foot and Ankle Function
• +4 more

Luke Kelly is an Honorary Associate Professor at the School of Human Movement and Nutrition Sciences (The University of Queensland). Specializing in human foot biomechanics , his research explores the evolutionary, neuromuscular, and elastic tissue mechanisms underlying foot function during locomotion, with applications in health (osteoarthritis) , rehabilitation , and robotic/prosthetic design . Industry collaborations: Australian Sports Commission , Asics Oceania , Cricket Australia Research focus: Foot structure-function relationships , Muscle mechanics , Energy conservation His work employs advanced methodologies like biplanar videoradiography and markerless motion capture , addressing questions about foot adaptation to surfaces , diabetic foot morphology , and neuromechanical control . While not directly supervising students currently, he has guided research on foot fatigue , prosthetic optimization , and injury biomechanics . Luke Kelly’s contributions include: Key publications in Journal of Biomechanics , Royal Society Interface , and PNAS Dataset creation for foot shape modeling , muscle-tendon dynamics , and joint kinematics Grants from ARC Discovery , NHMRC , and Arthritis Foundation of Australia

• Computer Graphics
• Virtual Reality
• Augmented Reality
• +6 more

Francesco Strada is a Fixed-term Assistant Professor at the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino. He serves as a Course Lecturer for Virtual Reality and Technical Art for Cinema and Video Games, and as a Course Collaborator for multiple courses across Computer Engineering, Film and Media Engineering, and Architecture programs. He is an active member of the College of Computer, Film and Mechatronics Engineering and the College of Architecture and Design teaching committees. Dr. Strada's research focuses on Computer Graphics, Virtual Reality, Augmented Reality, and Human-Computer Interaction with particular emphasis on Embodied Conversational Agents, emotion recognition, and serious games applications. His work bridges technical computer science with psychological and human factors considerations to create more believable and effective virtual experiences. His research spans applications in education, healthcare, automotive interfaces, cultural heritage, and emergency response training. His recent publications demonstrate a strong trend toward emotionally intelligent virtual agents, VR/AR applications in specialized domains, and technical innovations in latency management and digital human representation. His work often combines psychological principles with technical implementations to enhance user experience and system effectiveness. Dr. Strada actively supervises PhD students including Alessandro Emmanuel Pecora, Stefano Calzolari, and Leonardo Vezzani, whose research focuses on Emotionally Aware Embodied Conversational Agents (E2CA) and Car AR-HUD design. He leads significant research projects including Holo-BLSD (2024-2025), a Mixed Reality tool for first aid emergency response training, and '50 shadows of AI' (2025), focusing on personalized education in corporate settings. He is a member of the CGVG - Computer Graphics and Vision Group at DAUIN, where his team develops cutting-edge applications in AR/VR, Human-Computer Interaction, User Experience, Computer Vision, Machine Learning, and Artificial Intelligence. His research has practical applications in education, training, healthcare, automotive interfaces, and cultural heritage preservation.

Christophe GrovaView profile

Professor

• Biomedical Engineering
• Neuroscience
• Epilepsy Research
• +5 more

Christophe Grova , Professor in the Department of Physics at Concordia University and scientific lead of the PERFORM physiology platform , is a multidisciplinary researcher at the intersection of Biomedical Engineering , Neuroscience , and Medical Physics . He directs the Multimodal Functional Imaging Laboratory , focusing on advanced neuroimaging techniques like EEG/MEG , fMRI , and fNIRS to study brain mechanisms in epilepsy and sleep . His work emphasizes multimodal data fusion to uncover neurovascular coupling and functional connectivity patterns, with software developments such as MEM and NIRSTORM enhancing analysis precision. Key Research Areas : Epilepsy, Sleep Studies, Neuroimaging, Computational Neuroscience, Multimodal Data Fusion Affiliations : Full Professor at Concordia University (Physics), Adjunct Professor at McGill University (Biomedical Engineering, Neurology and Neurosurgery). Scientific Awards : Not explicitly listed in the provided text. Software Contributions : Developed MEM (EEG/MEG source localization) and NIRSTORM (fNIRS analysis) for open-source platforms like Brainstorm .

• Orthopedic Implant Design
• Biomechanical Engineering
• Biomaterials
• +5 more

Timothy Wright is a distinguished Professor of Applied Biomechanics in Orthopaedic Surgery at Weill Cornell Medicine and a member of the Cornell University College of Engineering Graduate Field of Biomedical Engineering. His groundbreaking work focuses on enhancing orthopedic implant performance through multidisciplinary approaches integrating biomechanics, radiology, orthopedic surgery, biomaterials , and biomedical engineering . With over 300 peer-reviewed publications, he has pioneered implant systems for knee, hip, and elbow replacements adopted globally. Education : B.S. in Materials Science from Lehigh University (1971), M.S. (1972) and Ph.D. (1976) in Materials Science from Stanford University, followed by a postdoc in Biomechanics at HSS (1977). Dr. Wright’s research spans orthopedic implant design, tribocorrosion in modular connections, bone mechanobiology, post-traumatic arthritis , and additive manufacturing . His recent studies, including 3D-printed implants that enable customized bone fixation, reflect his focus on advanced manufacturing and computational modeling. Articles highlight his expertise in joint kinematics, implant retrieval analysis , and biomaterial wear mechanisms , with applications across hip, knee, and elbow arthroplasty . Key scientific awards include the Alfred R. Shands Jr. MD Award (2013), Director’s Special Citation from the FDA (1997), and the Research Career Development Award (1987-1992) and Whitaker Fellowship (1985). He has served as President of the Orthopaedic Research Society (1992), Coordinating Program Director of the NIH-funded Clinical and Translational Science Center, and co-editor of the Journal of Orthopaedic Research for 18 years. Grants : NIH T32 training program (preceptor), Kellen French Foundation projects (PI/Co-PI), Kirby Foundation’s New Directions in Joint Replacement Design (PI), and NIH UL1 Clinical Translational Science Center (Coordinating Program Director). Laboratories : Department of Biomechanics at HSS, Lab of Molecular Osteoarthritis Research , and Lab of Cartilage and Meniscus Mechanics .

• Laser Polishing
• CNC Machining
• CAD/CAM Systems
• +5 more

O. Remus Tutunea-Fatan is a Professor in the Department of Mechanical & Materials Engineering at Western University, with cross appointments in Biomedical Engineering and Electrical and Computer Engineering. His work focuses on laser polishing, CNC machining, and surface structuring for drag reduction and biomedical applications. Ph.D. in Mechanical Engineering, The University of Western Ontario M.E.Sc. and B.E.Sc. in Mechanical Engineering, Transilvania University, Romania Research interests include: Advanced CAD/CAM frameworks Laser remelting process optimization Biomedical device design Composite manufacturing techniques Surface topography analysis Artificial intelligence in process control Recent publications indicate expertise in: Laser polishing of metallic surfaces Riblet microstructures for drag reduction AI-driven process monitoring 5-axis machining error compensation Scientific recognition includes: Edward G. Pleva Award for Excellence in Teaching (Western University, 2023) Dr. Terry Base Memorial Teaching Award (2022 co-winner, 2021, 2019) R. Mohan Mathur Award (Faculty of Engineering, 2020) University Students' Council Teaching Honour Roll (2011-2012) Prof. Tutunea-Fatan serves as Associate Chair for Graduate Research Programs (2025-2027) Acting Associate Dean for Undergraduate Studies (2023-2024) Acting Chair, Department of Mechanical and Materials Engineering (2021-2022) He supervises over 40 graduate students and collaborates with industry partners including DuPont Safety and Construction, General Motors, and Active Industrial Solutions Inc.

• Machine Learning
• Reinforcement Learning
• Decision Making Under Uncertainty
• +6 more

Michail G. Lagoudakis is a Professor at the Department of Electronic and Computer Engineering, Technical University of Crete. His academic journey includes a Ph.D. in Computer Science from Duke University (2003), an M.Sc. from the University of Louisiana, Lafayette (1998), and a B.Sc. from the University of Patras (1995). He has held prestigious positions such as Postdoctoral Fellow at Georgia Institute of Technology's School of Industrial and Systems Engineering. Research Interests : Spanning machine learning (especially reinforcement learning), decision-making under uncertainty, robotics, algorithm selection, computational biology, and human-computer interaction. Publications : Over 15 recent works, including key contributions to robotics (auction-based multi-robot routing), medical diagnosis (urgent endoscopy prediction), and foundational machine learning (Least-Squares Policy Iteration, RCPI algorithm). Scientific Recognition : Recipient of Duke University's Outstanding Dissertation Award (2002-2003) and two Outstanding Teaching Assistant Awards. Professional Affiliations : Member of AAAI, IEEE, and ACM. Collaborations include industrial applications in disassembly planning, dynamic packet routing, and medical imaging. He advocates for computational biology and interdisciplinary research, aiming to integrate tools from mathematics and control theory into machine learning.

• Renewable Energy
• Fluid-Structure Interaction (FSI)
• Aeroacoustics
• +5 more

Huadong Yao is an Assistant Professor at the Department of Marine Engineering, Chalmers University of Technology. His research spans renewable energy , fluid-structure interaction (FSI) , and transportation systems , with a focus on offshore wind farms, wave energy, and aero/hydroacoustics. Multi-University Collaboration : Guest professorships at international institutions Leadership Roles : Coordinator of Horizon 2020 projects (e.g., IVANHOE) and guest editor for journals Key Organizations : Member of AIAA, SAE International, RINA, ICNMT, and ICES Working Group on Offshore Renewable Energy His research integrates CFD and FSI coding (OpenFOAM, in-house codes) with turbulence modeling (LES, SNGR) to address problems in marine hydrodynamics (e.g., rim-driven thrusters, wind-powered ship propulsion) and terrestrial transportation (high-speed train aerodynamics, urban air mobility). Recent work explores biomechanics (whiplash injury hydrodynamics) and battery cooling systems for electric vehicles. Current projects focus on: Optimization of wave energy converter farms (hexagon layouts, mooring fatigue) Hubless rim-driven thruster design (gap geometry, concave cavities) Hydrographic impacts of offshore wind turbines on marine environments Urban air mobility (UAM) aerodynamics Multidisciplinary Design Optimization (MDO) using machine learning He collaborates with institutions like AIAA, SAE, and ICES, and has received funding from Horizon 2020 and Swedish national agencies.

Gerard de HaanView profile

Professor

• Video Signal Processing
• Remote Photoplethysmography (rPPG)
• Motion Robust Signal Processing
• +4 more

Gerard de Haan is a Professor of Electronic Systems at the Department of Electrical Engineering , Eindhoven University of Technology (TU/e). His research focuses on video signal processing, particularly in multimedia systems and video health monitoring , aiming to enhance image quality and enable accurate sensing of vital signals amidst motion artifacts. He has documented his research in 4 books, 3 book chapters, approximately 200 papers, and over 200 patent applications, leading to commercially available ICs. De Haan has served on program committees of international conferences and as a guest editor for journals including Elsevier, IEEE, and Springer. Education : BSc, MSc, PhD in Electrical Engineering from Delft University of Technology (1977, 1979, 1992) Professional Roles : Lead researcher at Philips Research (1979–present), Full Professor at TU/e (2000–present) His research interests span noise and artifact reduction , video format conversion , display-specific processing , and enabling technologies like motion estimation and object detection . Articles highlight advancements in rPPG motion robustness , blood volume pulse signature analysis , and remote SpO2 monitoring . Scientific awards include his appointment as Fellow at Philips Research Eindhoven in 2000.

Gagan AgrawalView profile

Professor

• Parallel Computing
• High-Performance Computing (HPC)
• Data Analytics
• +5 more

Gagan Agrawal is the UGA Foundation Professorship in Computing and a Professor at the School of Computing, University of Georgia. He serves as Director of the School and is affiliated with the Franklin College of Arts & Sciences. Agrawal holds a PhD and MS in Computer Science from the University of Maryland (1994-1996). His research focuses on high-performance computing, parallel algorithms, compiler optimization for deep learning, GPU acceleration, and interdisciplinary applications in health informatics. Notable contributions include frameworks like ForensiBlock (blockchain for data forensics) and DELITE (tensorized instruction compilation). Agrawal has secured over $2.5M in NSF grants for projects addressing extreme-scale computing challenges. Recent grants include: SHF: Small: Memory Hierarchy Optimizations Meet Transformers (MITTEN) ($600K, 2024-2027) DELITE compilation system for deep learning models ($600K, 2023-2026) Publications span parallel computing methodologies, cybersecurity frameworks, and health outcomes analysis. His work on social determinants of health in cancer survival has been systematically reviewed in top-tier medical journals. Agrawal leads UGA's computing initiatives, emphasizing interdisciplinary research and student mentorship in HPC and AI domains.

Steven SternView profile

Professor

• Data Science
• Operational Risk Management
• Sports Analytics
• +3 more

Steven Stern is a Professor of Data Science at Bond Business School and Professor at the Centre for Data Analytics, Bond University. He holds a PhD in Mathematical Statistics from Stanford University. Previously, he served as Professor and Australian Bureau of Statistics Chair at Queensland University of Technology (2014–2016), Associate Professor at Australian National University (1994–2013), and Lecturer at Stanford University (1993–1994). His research focuses on data-driven methodologies applied to healthcare, sports analytics, financial risk management, and medical imaging. Notable contributions include the Duckworth-Lewis-Stern method for cricket scoring, MRI acceleration techniques, and operational risk modeling in financial institutions. Recent work emphasizes optimizing diagnostic imaging (e.g., knee/shoulder MRI), predicting athlete performance, and enhancing financial literacy studies. He actively supervises PhD students in multivariate ROC analysis and sports team ratings. Professional activities include membership on Bond University’s Research Committee (2025–2025) and invited talks on interdisciplinary data science applications.

Carl Johan SundbergView profile

Professor

• Molecular Exercise Physiology
• Skeletal Muscle Adaptation
• Mitochondrial Biogenesis
• +6 more

Carl Johan Sundberg is a Professor at the Karolinska Institutet , affiliated with the Department of Physiology and Pharmacology and the Department of Learning, Informatics, Management and Ethics (2025-2027). He serves as Dean for KI Nord and is a licensed physician. Current research focuses on molecular exercise physiology , including mitochondrial biogenesis , epigenetic regulation , and cardiometabolic disease . Key research areas: Medical Genetics and Genomics , Physiology and Anatomy , Public Health . His work bridges molecular mechanisms in skeletal muscle with clinical applications for diabetes, cancer, and post-stroke rehabilitation. Notable awards include the EMBO Certificate of Commendation and European Commission’s Descartes Communication Prize (2005). Recent publications highlight epigenetic differences between trained/untrained individuals, exercise-induced immune mobilization , and digital health tools for cardiac risk stratification. Grants include funding from the Swedish Research Council and Swedish Heart-Lung Foundation .