Find Academic Supervisors

• Microchannel Engineering
• Proton Exchange Membrane Fuel Cell
• Two-phase Flow
• +7 more

Eon Soo Lee is an Associate Professor in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT). His primary research focuses on advanced materials engineering, biomedical microfluidics, and assistive technologies for individuals with disabilities. He has led federally funded projects including 'I-Corps: Multiplex Diagnostic Assay Using Interdigitated Nano-Sensing Technology' (NSF, 2023-2025) and 'Innovative Nano Catalysts for Automobile and Fuel Cell Applications' (NSF, 2018). Research Interests: Lee's work spans interdisciplinary areas including: Development of N-doped graphene/MOF composites for energy applications Microfluidic systems for blood plasma separation and antigen detection Design of accessible technologies for visually impaired users, including VR audio descriptions and remote sighted assistance systems Grants and Projects (select): National Science Foundation (2023): $500K for multiplex diagnostic assays National Science Foundation (2018): $300K for nano-catalysts in fuel cells Multiyear collaborations with industry partners on biosensor integration Innovation Highlights: Developed AIGuide: AR hand-guidance system for visual impairments Pioneered omnidirectional audio descriptions for VR music performances Published extensively in Carbon , Biomicrofluidics , and ACM/IEEE accessibility venues

Hongjie WangView profile

Assistant Professor

• Power Electronics
• Electric Vehicle Charging
• Resonant Converters
• +2 more

Hongjie Wang is an Assistant Professor in Electrical and Computer Engineering at Utah State University, where he serves as co-director of the Utah State University Power Electronics Laboratory and leads the NSF ASPIRE ERC Charging Stations of the Future project. His research focuses on power electronics for transportation electrification, particularly extreme fast charging systems and dynamic wireless power transfer. Research domains include: High-efficiency resonant converter design Grid integration of EV charging infrastructure Second-life battery applications in energy storage Dynamic wireless power transfer for in-motion charging Thermal management of power electronics Recent publications demonstrate innovations in unfolding-based AC-DC converters, load modeling for large-scale charging infrastructure, and reinforcement learning approaches for grid-integrated charging optimization. His work has received multiple best paper awards including recognition from IEEE ECCE and IEEE IAS.

Anuj SharmaView profile

Professor

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +3 more

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

Matthias HieberView profile

Professor

• Partial Differential Equations
• Fluid Dynamics
• Evolution Equations
• +3 more

Prof. Dr. Matthias Hieber is a Professor of Applied Analysis at the Fachbereich Mathematik, Technische Universität Darmstadt. His research focuses on Partial Differential Equations, Fluid Dynamics, Evolution Equations, and Harmonic Analysis. He leads the Applied Analysis research group and contributes to interdisciplinary projects involving geophysical fluid models. His editorial roles include Editor-in-Chief of Differential and Integral Equations and involvement with journals like Evolution Equations and Control Theory . Recent teaching activities include courses on Partial Differential Equations and Functional Analysis. He collaborates on DFG-funded projects analyzing nonlinear PDEs in geophysical contexts and liquid crystal dynamics. His work bridges pure mathematics with applications in fluid mechanics and climate modeling. Education: Doctorate in Mathematics (not explicitly stated, inferred from academic rank) Labs/Teams: Applied Analysis Research Group Grants: DFG Research Group on Geophysical Fluid Models, Humboldt Fellowship for Dr. Arnab Roy Research highlights include global well-posedness studies for the primitive equations and stochastic fluid models, analysis of liquid crystal dynamics, and rigorous justification of hydrostatic approximations. His contributions to operator theory and semigroup methods underpin many results in fluid dynamics and PDE analysis.

Yousra AaferView profile

Assistant Professor

• Mobile and Smart Device Security
• System and Software Security
• Android Security
• +4 more

Yousra Aafer is an Assistant Professor in the Department of Computer Science at the University of Waterloo. Her research focuses on mobile and smart device security, system security, and software security, particularly in the context of Android and cyber-physical systems. She holds a Ph.D. and M.Eng. from Syracuse University. Education: Ph.D., Syracuse University, United States (2016) M.Eng., Syracuse University, United States (2012) Her research interests include analyzing vulnerabilities in Android systems, binary analysis, IoT security, and fuzzing techniques. She explores methods to enhance security through formalized protocols, probabilistic protection recommendations, and leveraging large language models for vulnerability detection. Her work addresses critical areas such as cross-language buffer overflow detection, residual API audits in custom ROMs, and cyber-physical inconsistency in robotic vehicles. Her recent publications span topics like Android security, binary disassembly (e.g., D-ARM), and IoT security protocols (e.g., ProFactory). She has also contributed to frameworks like Poirot for probabilistic protection recommendations and StochFuzz for efficient binary fuzzing. While no awards are explicitly mentioned, her extensive publication record indicates active recognition in the security research community. She advises on multiple projects but no student names are listed here. Her work often involves collaboration on tools and frameworks for practical security applications.

Michael FowlerView profile

Professor

• Electrochemical Power Sources
• Fuel Cell Reliability
• Battery Degradation Analysis
• +6 more

Michael Fowler is a Professor in the Department of Chemical Engineering at the University of Waterloo, cross-appointed to the Department of Mechanical and Mechatronics Engineering. His research focuses on electrochemical power systems, including battery degradation analysis, fuel cell reliability, and clean energy hubs. He leads projects like ChallengeX and EcoCar, developing fuel cell and hybrid vehicles. He teaches CHE 331 (Electrochemical Engineering) and actively supervises graduate students. His work integrates hydrogen economy concepts, renewable energy incentives, and Power-to-Gas energy storage. Key interests span polymer science, interfacial phenomena, and battery thermal management systems. Education: Ph.D. in Chemical and Materials Engineering (2003, Royal Military College of Canada), M.Sc. in Engineering Chemistry (1988, Queen's University), B.Sc. in Fuels and Materials Engineering (1986, Royal Military College of Canada). Research emphasizes modeling fuel cells, battery performance, and electrolyte materials. Recent articles explore lithium-ion battery diagnostics, aluminum-air batteries, and thermal runaway prevention. He collaborates with industries on sustainable energy solutions and advises student teams in green energy systems. His lab focuses on advanced materials for electrochemical systems and energy storage innovations. Current roles include co-faculty supervisor of vehicle design teams and director of the Waterloo Fuel Cell Research Network. He welcomes graduate applications and is involved in developing Canada’s hydrogen transition strategies. His work bridges academic research with practical applications in automotive, renewable energy, and material science sectors.

Sam LindleyView profile

Associate Professor

• Programming Languages
• Formal Methods
• Type Systems
• +3 more

Sam Lindley is a Reader in Programming Language Design and Implementation at the School of Informatics, University of Edinburgh. He holds a UKRI Future Leaders Fellowship in Effect Handler Oriented Programming. His research focuses on foundational aspects of programming languages, including effect systems, session types, type theory, and functional programming. Key research interests span algebraic effects, concurrency models, type systems for resource management, and language implementation techniques. Lindley's work bridges theory and practice, addressing challenges in systems programming, web technologies (e.g., WebAssembly), and compiler design. Recent publications (2023–2025) emphasize effect handlers for low-level languages (e.g., C, WebAssembly), modal type systems for memory management, and formal semantics for concurrent systems. His work often explores how advanced type systems can improve expressivity and efficiency in programming models. Scientific Awards: UKRI Future Leaders Fellowship Labs/Teams: Laboratory for Foundations of Computer Science (LFCS) Grants: Active funding via UKRI Fellowship

• Biomedical Engineering
• Mechanical Engineering
• Nanotechnology
• +7 more

Dr. Francisco Tovar Lopez is a Lecturer at the School of Engineering, RMIT University. He holds a B.Eng in Mechanical Engineering from UNAM and a PhD in Biomedical Engineering from RMIT. His research focuses on advancing biomedical technologies through microfluidics, nanotechnology, and computational modeling. He has pioneered projects in artificial organs, blood clot detection systems, and lab-on-a-chip platforms. Dr. Tovar has secured notable awards including the ARC-DECRA fellowship and Mexico’s SNI-I recognition. His work bridges mechanical engineering with healthcare applications, emphasizing fluid dynamics and biomaterials. Education B.Eng in Mechanical Engineering (UNAM) PhD in Biomedical Engineering (RMIT University) Research Interests Lab-on-a-Chip technologies Micro/nanofabrication Blood flow dynamics and thrombosis Portable diagnostic systems Medical sensor development Recent Article Trends His 2023 work emphasizes ECMO oxygenator thrombosis detection and environmental sensor applications, reflecting growing focus on translational biomedical engineering. Key themes include microfluidic platforms for hematology and integration of nanoscale sensors. Awards DECRA-ARC Fellow (2012) VC Research Fellow (2012) National Research System Level 1 (Mexico, 2014) Advising Open to PhD supervision in areas like real-time medicine and lab-on-a-chip cancer detection. Active in industry collaborations through projects like Vitalmex Innovamedica.

• Reinforcement Learning
• Robotics
• Deep Learning
• +3 more

Glen Berseth is an Associate Professor in the Department of Computer Science and Operations Research at the University of Montreal and a Senior Academic Fellow at Mila – Quebec Institute for Artificial Intelligence. He is also a Canada CIFAR Chair in AI and Co-Director of the Montreal Robotics and Integrative AI Laboratory (REAL). His work focuses on reinforcement learning, robotics, and deep learning applied to autonomous systems. He holds a postdoctoral background from Berkeley Artificial Intelligence Research (BAIR), working under Sergey Levine. His research emphasizes real-world applications, including human-robot collaboration, continual learning, and multi-agent systems. He teaches courses on robot learning at the University of Montreal and Mila, covering cutting-edge techniques for general-purpose robots. Key research interests include reinforcement learning for robotics, adaptive interfaces, and sim-to-real transfer. His recent work addresses challenges in autonomous learning systems, such as robust locomotion control and efficient exploration strategies. Notable awards include the Canada CIFAR AI Chair. He has supervised numerous students, including PhD candidates Ozgur Aslan and Siddarth Venkatraman, and Master’s students like Roger Creus-Castanyer and Léa Demeule, focusing on topics like reinforcement learning and robotic control. Berseth leads research projects funded by organizations like the CRSNG, FCI, and MITACS, addressing topics such as modular lifelong learning and generalization in robotics. His lab, REAL, explores embodied AI and robotics integration.

Yassine LakhnechView profile

Professor

• Computer Security
• Cryptography
• Formal Verification
• +5 more

Yassine Lakhnech is a Professor at the University Joseph Fourier (Grenoble 1), leading the 'Distributed and Complex Systems' research team within the VERIMAG laboratory. His work focuses on computer security, cryptography, formal verification, and programming language semantics. He has been actively involved in coordinating major interdisciplinary research initiatives like the PERSYVAL-lab, which addresses cyber-physical systems (CPS) challenges. His research bridges computational and formal approaches, with contributions to cryptographic protocol analysis, information flow control, and automated theorem proving. Key projects include the development of tools like HERMES for cryptographic protocol verification and involvement in ANR-funded projects such as Verso, PROSE, and AVOTE. He has also organized international conferences and workshops, including the Canada-France MITACS Workshop on Foundations & Practice of Security and the Eighth ACM/IEEE International Conference on Formal Methods and Models for Codesign. His publications span over 147 papers, with an h-index of 25 and g-index of 42, reflecting significant contributions to formal methods, security protocols, and hybrid systems. Despite his role as Vice President of Research, he maintains active scientific productivity, emphasizing the integration of theoretical and practical advancements in CPS and security.

• Immunology
• Vaccine Biology
• Cytokine Research
• +3 more

Tim R. Mosmann is a Professor and Director of the Human Immunology Center at the University of Rochester, leading the David H. Smith Center for Vaccine Biology and Immunology. He holds the Michael and Angela Pichichero Director's Endowed Chair. His academic journey includes B.S. degrees in Chemistry, Physiology, and Microbiology from the University of Natal and Rhodes University in South Africa, followed by a Ph.D. in Microbiology from the University of British Columbia. After postdoctoral training at the University of Toronto and Glasgow University, he held academic positions at the University of Alberta before joining the University of Rochester in 1998. Dr. Mosmann is renowned for discovering the Th1/Th2 T cell subsets, a pivotal contribution to understanding immune regulation and vaccine design. His research focuses on cytokine networks, T cell differentiation, and immune responses to infections and vaccines. He has authored over 250 publications and holds patents on technologies for immune response detection, including arrayed sensor systems for influenza and HPV immunity analysis. His awards include the Novartis Prize for Basic Immunology, multiple Pillars of Immunology recognitions, and election to the Royal Society of Canada. His work bridges immunology, vaccinology, and clinical translation, emphasizing the role of T cell subsets in health and disease. Collaborations span academia and industry, advancing methodologies in flow cytometry and automated data analysis.

Richard BrownView profile

Professor

• Organic Synthesis
• Total Synthesis of Natural Products
• Asymmetric Synthesis
• +3 more

Professor Richard Brown is a Professor of Organic Chemistry at the University of Southampton, affiliated with the School of Chemistry. He holds a PhD from the University of Southampton (1994) and has held a Royal Society University Research Fellowship (1996–present). His research focuses on organic synthesis, total synthesis of natural products, asymmetric synthesis, and organic electrosynthesis. He leads projects on electrosynthesis in microfluidic systems and novel drug development. Key research interests include the synthesis of biologically active natural products and the development of sustainable electrochemical methodologies. His work spans from fundamental reaction mechanisms to industrial applications, including collaborations with companies like Eli Lilly. Awards include the Royal Society Fellowship, and he has supervised numerous interdisciplinary projects funded by EPSRC and EU initiatives. Recent publications highlight advancements in electrosynthetic strategies, including radical crossover sequences and photocatalytic processes. His lab participates in collaborative networks such as the Interreg European programs, fostering international student exchanges and joint research ventures. Current projects explore aging dynamics in power transformers and hyperpolarized nuclear spin technologies.

• Biochemistry
• Biotechnology
• Enzymology
• +6 more

Silvia Holler is a Researcher (RTD-A) at the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento. She specializes in biochemistry, biotechnology, and synthetic biology with a focus on enzymology, catalysis, and structural biology. Her work spans experimental and computational studies of protocells, droplet-based systems, and self-organizing soft matter. Teaching responsibilities include co-teaching the Biochemistry course at CIBIO, where she collaborates with scholars like Giovanni Piccoli and Martin Michael Hanczyc. The course covers foundational topics in biochemistry, enzymology, and molecular structures with practical skills in chromatography and enzymatic kinetics. Research interests emphasize artificial life systems, droplet engineering, and the physics of biological organization. Key themes include protocell formation, compartmentalized biochemistry, and ethical implications of synthetic biology innovations. Recent work explores self-organized patterns in soft matter, active matter dynamics, and computational modeling of multi-phase systems. Publications focus on droplet microfluidics, vesicle interactions, and agglomeration phenomena across scales. Collaborative efforts include editorial roles for artificial life conference proceedings and interdisciplinary projects combining biophysics with materials science. No scientific awards were explicitly mentioned in the provided materials. Her research lab activities are embedded within CIBIO's facilities, focusing on experimental setups for droplet-based synthetic biology and computational simulations of complex systems.

Tuba EsatbeyogluView profile

Professor

• Molecular Food Chemistry
• Food Development
• Secondary Plant Metabolites
• +12 more

Prof. Dr. Tuba Esatbeyoglu is a full Professor of Molecular Food Chemistry and Development and serves as the Executive Director of the Institute of Food Science and Human Nutrition at Leibniz University Hannover, within the Faculty of Natural Sciences. She leads research in food chemistry, quality, and safety, with a focus on bioactive compounds and sustainable food innovation. Research Interests: Her work centers on secondary plant metabolites, food by-product utilization, HPLC method development, proanthocyanidin chemistry, food stability, authenticity markers, and in vitro biological activity and toxicity. She investigates the bioaccessibility and sensory properties of functional foods, contributing significantly to food quality and safety science. Publication Trends: Her recent publications reflect a strong focus on polyphenols, encapsulation technologies, food waste valorization, and analytical method development. She frequently explores the health impacts of plant extracts, liver protection, and sustainable food systems, often employing in vitro and animal models. Scientific Awards: Georg Forster Research Award (Alexander von Humboldt Foundation, 2022) Poster Prize, Brunel University (2014) Danone Nutrition for Health Institute Scholarships (2013, 2014) Rochow Family Trust Scholarship (2012) DGQ Young Scientist Award (2011) Award for Outstanding Academic Achievements in Food Chemistry (2006) Advising and Grants: While specific students are not listed, she supervises research in food science and has served on examination boards. She has led projects including a genetic engineering S1 facility and holds permissions under the Infection Protection Act. She has been involved in reviewing for major funding bodies including DFG, DAAD, and the Alexander von Humboldt Foundation. Labs and Teams: She heads the Molecular Food Chemistry and Development research group at the Institute of Food Science and Human Nutrition. She is active in national and international scientific networks, including DECHEMA, GDCh, DGE, IFT, and FEI’s Scientific Advisory Board, and contributes to standardization efforts via DIN.

Carola VinuesaView profile

Researcher

• Immunology
• Genetics & Genomics
• Autoimmune Diseases
• +2 more

Carola Vinuesa is a leading immunologist currently serving as Principal Group Leader and Royal Society Wolfson Fellow at The Francis Crick Institute (London, UK). She previously held academic leadership roles at the Australian National University (ANU), including Professor of Immunology (2010) and Head of Department (2011). Education : MD (University Autónoma of Madrid, 1992), PhD (University of Birmingham, 2000) Leadership : Founder/co-Director of NHMRC Centre for Personalised Immunology (2014), Director of China-Australia Centre for Personalised Immunology (2022), Advisory Professor at Jiaotong University (2018) Her research focuses on immunology , genetics , and autoimmune diseases , particularly identifying T cell subsets (Tfh, Tfr) that regulate antibody responses and autoimmunity. She connects genetic variation to lupus pathogenesis and explores mechanisms of immune tolerance. Recent publications highlight her work in genetic immunology , with studies on TLR7 gain-of-function variants , ZEB2 in B cell aging , and neuritin in Tfr cell function . Her team integrates genomics , flow cytometry , and model organisms to study immune checkpoints. Scientific Awards : Royal Society Fellow (2022), Gottschalk Medal (AAS), Lupus Insight Prize (2023), Johann Anton Merck Award (2023), Life Scientist of the Year (2008) She collaborates with institutions in Australia, China, and the UK, advancing personalized immunology and translational research . Her lab’s work informs diagnostic strategies and targeted therapies for autoimmune conditions.