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Simon SpencerView profile

Professor

• Bayesian Inference
• Epidemiology
• Statistical Modeling
• +3 more

Simon Spencer is a Professor of Statistics at the University of Warwick, affiliated with the Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research (SBIDER) and the Warwick Analytical Sciences Centre (WASC). His research focuses on Bayesian inference applied to epidemiology, stochastic epidemic models, and statistical methods for analytical science. He has held previous positions at the University of Nottingham and Massey University in New Zealand. His teaching includes advanced courses such as CH923: Statistics for Data Analysis , ST925: Graduate Topics in Statistics , and MA4M1/MA6M1: Epidemiology by Example . His research group currently includes PhD students Matthew Adeoye and Richard Haughey, and MSc students Olli Smith and Sangavi Pirabakaran. He collaborates extensively with global health institutions on projects addressing infectious disease modeling and public health policy. Spencer’s work bridges statistical methodology and real-world applications, with a focus on outbreak detection, model comparison, and the integration of geostatistical data with transmission models. His recent contributions include frameworks for lymphatic filariasis elimination projections and analyses of HIV transmission dynamics in Uganda. He actively contributes to interdisciplinary research in systems biology and analytical chemistry, leveraging advanced statistical techniques to address complex health challenges.

Robert N. BenView profile

Professor

• Organic Chemistry
• Bioorganic Chemistry
• Carbohydrate Chemistry
• +5 more

Robert N. Ben is a Full Professor in the Department of Chemistry and Biomolecular Sciences at the University of Ottawa. His research focuses on organic and bioorganic chemistry, particularly the development of small-molecule ice recrystallization inhibitors (IRIs) for improving cryopreservation techniques. These inhibitors enhance the viability of cells, tissues, and biological systems during freezing and thawing processes, with applications in regenerative medicine, stem cell therapy, and biomedical engineering. He holds a B.Sc. from Laurentian University (1990) and a Ph.D. from the University of Ottawa (1994). His work bridges synthetic chemistry and biological applications, aiming to design cryoprotectants with enhanced stability and activity for medical and industrial uses. Key research areas include asymmetric synthesis of bioactive compounds, carbohydrate chemistry, and glycoprotein design. Ben’s lab investigates the structure-activity relationships of IRIs, their mechanisms of action, and their utility in preserving diverse biological materials, including red blood cells, stem cells, and tissues. His contributions have advanced understanding of how small molecules mitigate ice crystal growth, reducing cryopreservation damage in cellular therapies and organ preservation. Despite no listed awards, his prolific research output (over 50 publications from 2013–2024) highlights his leadership in cryopreservation science. He advises students in synthetic and bioorganic chemistry but no specific advisees are named in the provided texts. Current projects emphasize translating IRI-based technologies into clinical applications, such as improving platelet and cord blood storage.

Jeppe Revall FrisvadView profile

Associate Professor

• Computer Graphics
• Digital Image Synthesis
• Realistic Rendering
• +7 more

Jeppe Revall Frisvad is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU), within the Visual Computing group. His work bridges computer graphics, material science, and applied optics, focusing on realistic rendering and material appearance modeling. Ph.D. in Computer Graphics, DTU Informatics (2008) M.Sc. in Engineering (Applied Mathematics), DTU (2004) Education in University Teaching, LearningLab DTU (2008–2009) His research centers on computing material appearance from physical and chemical properties, developing faster and more accurate physically based rendering methods. Key areas include light scattering, bidirectional reflectance distribution functions (BRDF), anisotropy, and translucency modeling. Applications span computer games, movies, digital prototyping, architectural visualization, and training simulators. His recent publications (2024–2025) reflect a strong trend in digitizing material appearance, especially for 3D printing and food science, using spectrophotometry and optical validation. The work combines computer graphics with interdisciplinary applications in food structure and biological imaging, emphasizing measurement, modeling, and simulation. Scientific Awards: Research travel prize from AEG Elektronfonden (2006) IGDA scholarship for GDCE 2005 DTU Ph.D. scholarship (2004) He actively supervises Ph.D. students and leads multiple research projects, including those on organ-on-chip imaging, cheese quality analysis, and optical modeling of teeth. He collaborates across disciplines and institutions, with external research stays at UC San Diego and the University of Otago. He is involved in projects integrating AI with 3D imaging and material digitization. Jeppe is a key member of the Visual Computing research environment at DTU, contributing to both fundamental rendering algorithms and practical applications in industry and science.

• Sustainable Chemistry
• Catalysis
• Green Chemistry
• +7 more

Matthew Jones is a Professor and Head of Department in the Department of Chemistry at the University of Bath, where he leads research in sustainable chemical technologies. He is affiliated with the Centre for Sustainable Chemical Technologies (CSCT) and the Institute of Sustainability and Climate Change. His work focuses on catalyst design for green chemistry, biopolymer synthesis, and chemical recycling of plastics. Research Interests: His research spans homogeneous and heterogeneous catalysis , synthesis of biopolymers like polylactide (PLA) , catalytic upgrading of renewable feedstocks (e.g., ethanol to butadiene), and lignin depolymerization . He employs advanced techniques such as NMR, mass spectrometry, electron microscopy, and X-ray crystallography. The recent trend in his publications reflects a strong focus on chemical recycling of plastics (PET, PLA, POM, nitrile gloves), design of metal-based catalysts (Zn, Zr, Al), and circular economy strategies . His work integrates computational modeling with experimental validation to develop sustainable chemical processes. Scientific Awards and Recognition: Frequent grant reviewer for EPSRC and MDPI Editorial contributions to high-impact journals Active participant in UK research councils and innovation networks Advising and Grants: He supervises doctoral students and leads multiple externally funded projects, including grants from the Engineering and Physical Sciences Research Council (EPSRC) and Innovate UK. Major projects include AP19: Developing Catalyst Strategies for a Truly Circular Plastic Economy , TUPLA - traceability of used PLA , and feasibility studies on nitrile glove recycling . He collaborates extensively with researchers such as Matthew Davidson and James Stewart. Labs and Research Teams: His research group is embedded within the Centre for Sustainable Chemical Technologies, a multidisciplinary hub promoting sustainable innovation. The team works on catalyst synthesis, polymer characterization, and process development for a circular chemical economy.

Gary T. MitchumView profile

Professor

• Climate Change
• Sea Level Rise
• Oceanography
• +7 more

Professor Gary T. Mitchum serves as Associate Dean for Research and Professor in the College of Marine Science at the University of South Florida (USF), where he has been since 1996. Previously, he held a faculty position at the University of Hawaii’s Department of Oceanography and directed its Sea Level Center. His research focuses on sea level rise, ocean physics, satellite and in-situ data analysis, El Niño phenomena, and fisheries applications. He holds a Ph.D. and B.S. from Florida State University (1984 and 1980). Key projects include multi-model sea level forecasts for the U.S. coast (NOAA-funded) and climate data records of sea level change (NASA-funded). He has led or co-led four major research projects between 2013–2022. His awards include the 1992 AGU Editor’s Citation and a National Merit Scholarship. Research interests span satellite altimetry, ocean eddies, and climate impacts. He teaches courses like Geophysical Fluid Dynamics and Physical Oceanography. His work addresses coastal vulnerability, global sea level acceleration, and ocean dynamics. Active in advisory roles, he contributes to the USF Office of Corporate Partnerships and the College’s Tenure Committee.

Thomas ChaffeyView profile

Lecturer

• Nonlinear Control Theory
• Convex Optimization
• Circuit Theory
• +3 more

Dr. Thomas Chaffey is a Lecturer in the School of Electrical and Computer Engineering at The University of Sydney. His research focuses on nonlinear control theory, convex optimization, and neuromorphic systems. He obtained his PhD from the University of Cambridge (2022) and held the Maudslay-Butler Fellowship at Pembroke College, Cambridge (2022–2025). Education: PhD in Control Theory, University of Cambridge (2022) Maudslay-Butler Fellowship in Engineering, Pembroke College, Cambridge (2022–2025) Master's in Mechanical Engineering, University of Sydney (Australia) Bachelor's in Mathematics and Computer Science, University of Sydney (Australia) Research Interests: Nonlinear control theory and its intersections with optimization and circuit theory Development of neuromorphic systems and analog hardware simulation Monotone operator methods and large-scale optimization algorithms Key Research Trends in Articles: Advances in graphical methods for nonlinear system analysis (e.g., scaled relative graphs) Analysis of neuromorphic circuits using convex optimization frameworks Exploration of symmetry properties in physical systems Awards: Best Student Paper Award, 2021 European Control Conference Outstanding Student Paper Award, 2021 IEEE Conference on Decision and Control Labs/Teams: Leading projects on learning in physical systems and monotone circuits Collaborations with institutions like Lund University and University of British Columbia

Marta KryvenView profile

Assistant Professor

• Computational Cognitive Science
• Artificial Intelligence
• Cognitive Psychology
• +7 more

Marta Kryven is an Assistant Professor in the Faculty of Computer Science at Dalhousie University. Her research integrates artificial intelligence, cognitive science, and experimental psychology to develop computational models of human cognition, focusing on planning, perception, and behavior. She is actively engaged in interdisciplinary research and is accepting graduate students. Research Interests: Computational models of cognition and behavior Large Language Models and their alignment with human thought Spatial navigation and environmental interaction Program synthesis and induction Representation learning and cognitive modeling Human-AI alignment and interpretability Her recent publications demonstrate a strong trend in combining symbolic AI with neural models to simulate human-like reasoning, particularly in spatial and social contexts. She frequently collaborates with leading researchers at MIT, especially Joshua Tenenbaum. Her work appears in top-tier venues such as NeurIPS, Cognitive Science, and Nature Computational Science. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Marta Kryven is currently accepting applications from graduate students and has several projects available for both undergraduate and graduate researchers. While specific grants are not listed, her active publication record in high-impact journals suggests ongoing funded research. She also offers consulting in AI system design, behavioral modeling, and data science for businesses. Labs and Teams: She is part of the Big Data Analytics, AI & Machine Learning research cluster at Dalhousie University. Her work is closely affiliated with cognitive science and AI research groups, likely involving collaboration with MIT’s Center for Brains, Minds and Machines. She leads a research group focused on human-like AI and computational cognitive modeling.

• Plasma Medicine
• Reactive Oxygen and Nitrogen Species (RONS)
• Cancer Therapy
• +3 more

Dr. Endre J Szili is an Adjunct Senior Research Fellow at the Future Industries Institute, University of South Australia. His work bridges plasma physics, biomedical engineering, and cancer therapy through the development of cold plasma technologies for medical applications. Research focus on reactive oxygen and nitrogen species (RONS) in cancer treatment, wound healing, and biomaterials modification. Collaborates with institutions including the University of Adelaide, Osaka Metropolitan University, and University of Sheffield. Research interests center on cold atmospheric pressure plasma for biomedical solutions, with key contributions to plasma-activated media (PAM) as a novel therapeutic strategy for ovarian cancer and chronic wound infections. His studies explore RONS generation, tissue penetration mechanisms, and plasma jet optimization for controlled delivery of reactive species. Recent work highlights plasma medicine trends, including applications in antimicrobial therapy via plasma-activated hydrogel (PAHT) and computational modeling of plasma streamers for medical device innovation. Articles emphasize oxidative stress pathways, biofilm disruption, and tailored plasma protocols for clinical translation. Grants include Australian Research Council Future Fellowship FT190100263 and NHMRC Grant 2002510, supporting advancements in plasma technology for oncology and infection control. His interdisciplinary collaborations span physics, engineering, and clinical medicine.

• Condensed Matter Physics
• Quantum Materials
• Superconductivity
• +3 more

Young Lee is a Professor at Stanford University actively teaching undergraduate and graduate courses including PHYSICS 43: Electricity and Magnetism and research-intensive courses across Applied Physics (APPPHYS 290, 291, 390), Physics (PHYSICS 490), and Materials Science (MATSCI 300). His multidisciplinary appointments reflect deep engagement with quantum materials research at the intersection of Physics, Engineering, and Materials Science. His research program centers on experimental investigations of quantum phenomena in condensed matter systems, with primary expertise in: Quantum spin liquids and frustrated magnetism in kagome lattices (barlowite, herbertsmithite) High-temperature superconductivity mechanisms in cuprate systems Topological phases and magnon insulators Electronic structure of halide perovskites under extreme conditions Professor Lee employs advanced experimental techniques including resonant inelastic x-ray scattering (RIXS), nuclear magnetic resonance (NMR), and angle-resolved photoemission spectroscopy (ARPES) to probe spin, charge, and lattice dynamics. His recent publications (2021-2023) reveal consistent focus on exotic quantum states, with particular emphasis on spin-polarized domains in kagome antiferromagnets, charge density wave physics in cuprates, and stabilization of unusual oxidation states in perovskites. Scientific Awards No awards or fellowships were documented in the provided materials. Advising and Research Support Professor Lee mentors PhD candidates through dissertation research courses in Applied Physics, Physics, and Materials Science. His directed studies course (APPPHYS 290) indicates active supervision of graduate research projects. While specific grant details are unavailable, his extensive publication record in high-impact journals suggests sustained support from major funding agencies for experimental condensed matter physics research.

Md Reduanul HossainView profile

Research Fellow

• Reproductive Medicine
• Cancer Cell Biology
• Nanomedicine
• +5 more

Dr. Md Reduanul Hossain is a Research Fellow at the University of Newcastle's School of Medicine and Public Health, specializing in reproductive medicine within the Mothers and Babies Research Program. He holds a PhD in Reproductive Medicine (Newcastle) and dual Master's degrees (MSc Pharmaceutical Science, MPhil) from the University of Greenwich, UK. His research integrates reproductive biology, nanomedicine, and pharmacology, focusing on: Developing uterine-targeted nanoparticle systems for preterm birth prevention Identifying synergistic tocolytic drug combinations using human tissue models Investigating placental exosomes in uterine contractility Creating precision medicine approaches for gynaecological cancers via patient-derived xenografts/organoids Publications emphasize tocolytic efficacy , nanoparticle drug delivery , and myometrial physiology , with recent work advancing quantitative methods for contraction analysis and low-dose combination therapies. Awards & Grants: Animal Welfare Award (2023) UNRSC/UNIPRS Scholarships (2017) $78,726 in active funding for placental biopsy/exosome projects (2025–2026) He mentors students through Honours/Master's projects in reproductive sciences and molecular biology, though no named advisees are documented.

Kara M. WhitakerView profile

Associate Professor

• Physical activity epidemiology
• Sedentary behavior epidemiology
• Sleep epidemiology
• +5 more

Kara M. Whitaker serves as Associate Professor and Director of Graduate Studies in the Department of Health and Human Physiology within the College of Liberal Arts and Sciences at the University of Iowa. Her research focuses on modifiable lifestyle behaviors including sedentary behavior, physical activity, and sleep patterns across diverse populations. Her primary research interests include physical activity epidemiology , sedentary behavior epidemiology , sleep epidemiology , maternal and child health , cardiovascular disease , and health disparities , with particular emphasis on at-risk groups including pregnant/postpartum women, rural populations, and marginalized communities. The Physical Activity and Women's Health Lab (PAWH) under her direction investigates determinants and health effects of lifestyle behaviors to inform behavioral interventions. Dr. Whitaker's recent work demonstrates strong trends in pregnancy epidemiology (Pregnancy 24/7 cohort), postpartum cardiovascular health , and health equity applications . Her publications increasingly integrate objective activity monitoring with clinical outcomes, focusing on sedentary behavior reduction strategies and cardiovascular risk assessment in vulnerable populations. Mid-Career Faculty Scholar Award (2025) NIH-NHLBI R01 grant for Offspring Study (2023) American Heart Association special issue guest editor (2024) She mentors multiple doctoral students and postdoctoral researchers including Lisa VanWiel, Jackie Dziewior, and Jacob Gallagher. Her lab has secured significant NIH funding including diversity supplements for the Pregnancy 24/7 Offspring Study. Current research initiatives include the Pregnancy 24/7 cohort examining 24-hour activity patterns, the Postpartum 24/7 study, and the Offspring Study tracking cardiovascular outcomes in children.

Samarjit ChakrabortyView profile

Professor

• Distributed Embedded Systems
• Hardware/Software Co-design
• Embedded Control Systems
• +9 more

Samarjit Chakraborty is the William R. Kenan, Jr. Distinguished Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He previously held the Chair of Real-Time Computer Systems at the Technical University of Munich (2008–2019) and was an assistant professor at the National University of Singapore (2003–2008). His research spans real-time embedded systems, cyber-physical systems (CPS), and automotive security. Research Interests include distributed embedded systems, hardware/software co-design, low-power systems, energy storage, electromobility, and sensor network-based information processing. His work addresses challenges in scheduling algorithms for autonomous vehicles, timing predictability in automotive networks, and safety-critical controller implementations. Recent Publications highlight advancements in Timing analysis for automotive networks Energy modeling of Bluetooth Low Energy Autonomous vehicle perception computing Security in automotive systems Flexible manufacturing with process dynamics Scientific Awards include the ETH Medal, European DAAD Outstanding Doctoral Dissertation Award, multiple best paper awards at conferences (ISLPED, ICCD, RTCSA, etc.), the 2023 Humboldt Professorship, and IEEE Fellowship. Advising active PhD students: Clara Hobbs, Shengjie Xu, Sharmin Aktar, and postdoc Enrico Fraccaroli. His research is supported by NSF grants and industry partnerships with General Motors, Intel, Google, BMW, Audi, Siemens, and Bosch.

Vahé NerguizianView profile

Professor

• Telecommunications
• Bioengineering
• Cancer Cell Detection
• +8 more

Vahé Nerguizian is a full Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada, where he has established himself as a leading researcher in microelectronics, MEMS, and biomedical applications. Affiliated with the LACIME (Communications and Microelectronic Integration Laboratory), his work bridges engineering disciplines with healthcare innovations, particularly in cancer research and point-of-care diagnostics. His educational background includes a B.Ing. from Polytechnique Montréal, an M.Eng. from McGill University, and a Ph.D. from Concordia University. This strong foundation in electrical engineering has enabled his interdisciplinary research across multiple domains. Nerguizian's research focuses on the intersection of microfluidics, MEMS, and biomedical applications, with particular emphasis on cancer cell detection, liposome production for drug delivery, and microelectronic integration for healthcare solutions. His laboratory develops microfluidic devices for synthesizing nanoparticles and liposomes, with applications in cancer therapeutics and diagnostics. The work combines microwave engineering, bio-MEMS, and microelectronics to create innovative diagnostic tools and therapeutic delivery systems. His recent publications (2021-2025) demonstrate a clear trajectory toward increasingly sophisticated biomedical applications of microfluidic and MEMS technologies, with growing emphasis on cancer research, extracellular vesicle analysis, and therapeutic delivery systems. The research has evolved from fundamental MEMS and microwave engineering toward highly translational biomedical applications. 2015: Excellence in Teaching Award from the Board of Directors Nerguizian has supervised over 25 graduate students across doctoral and master's programs, with current projects focusing on microfluidic systems for nanoparticle synthesis and sensor systems for biomolecule detection. His research has received significant funding through collaborations with medical researchers, particularly with Julia Burnier's team at McGill University. The LACIME laboratory, where he conducts his research, provides state-of-the-art facilities for micro- and nanofabrication, integrated circuit design, and photonic microsystems. As part of the LACIME research group, Nerguizian contributes to a dynamic environment focused on both fundamental and applied research with strong industry connections. The laboratory's work spans from materials science to communication protocols, with particular strength in developing innovative solutions for healthcare applications.

• Cyber-physical systems
• Green and sustainable computing
• Mobile and pervasive computing
• +7 more

Sandeep Gupta is a Professor and Director of the School of Computing and Augmented Intelligence at Arizona State University's Ira A. Fulton Schools of Engineering. He also serves as a Senior Global Futures Scientist. His work bridges computer science, engineering, and healthcare applications with a focus on creating reliable cyber-physical systems that interact safely with humans. Education: Ph.D. from The Ohio State University (1995) Research Interests: Professor Gupta's research spans cyber-physical systems, green and sustainable computing, mobile and pervasive computing, and parallel and distributed computing. His work increasingly focuses on human-in-the-loop systems where AI and humans collaborate safely, particularly in healthcare contexts. Recent research integrates large language models with cyber-physical systems to enhance safety and operational effectiveness in critical applications like medical monitoring and industrial automation. Research Trends: Analysis of Professor Gupta's recent publications reveals a strong focus on operational safety in human-AI collaborative systems, particularly in healthcare applications. His work combines physics-guided models with machine learning to detect "unknown-unknowns" in safety-critical systems, develops LLM-based approaches for medical image classification, and creates frameworks for ethical human-AI collaboration. The research increasingly addresses real-world challenges in diabetes management, epilepsy diagnosis, and industrial automation. Professional Service: IEEE Communication Letters Editorial Board, Area Editor (2008-Present) IEEE Journal on Special Areas in Communications - Issue on Body Area Network, Co-editor (2006-Present) Elsevier COMNET - Computer Network Journal, Reviewer (2008-Present) Technical Advisory Committee Chair for Networks (2005-Present) Advising and Grants: Professor Gupta has secured numerous research grants from NSF, NIH, Intel, Raytheon, and other organizations, totaling millions of dollars. His research portfolio includes projects on smart stadiums, mobile ECG sensing, power-aware scheduling, medical device verification, and sustainable data center management. He actively advises PhD and Master's students through thesis courses and research supervision, focusing on cyber-physical systems and healthcare applications. Labs and Research Groups: Professor Gupta leads research in cyber-physical systems with applications in healthcare, sustainable computing, and mobile networks. His work involves interdisciplinary collaboration across engineering, computer science, and medical domains, particularly through ASU's Global Futures initiatives.

Claire F. GmachlView profile

Professor

• Applied Physics
• Materials and Devices
• Photonics
• +4 more

Claire F. Gmachl is the Eugene Higgins Professor of Electrical and Computer Engineering at Princeton University, where she also serves as Associate Chair of the Department of Electrical and Computer Engineering and Head of Whitman College. She is affiliated with the Princeton Materials Institute (PMI) and directs the education program of MIRTHE, an NSF-sponsored Engineering Research Center. Ph.D., Technical University of Vienna, Austria (1995) M.Sc., Physics, University of Innsbruck, Austria (1991) Her research focuses on quantum cascade lasers (QCLs), leveraging semiconductor heterostructures for environmental, health, and security applications. Projects include high-temperature QCLs, widely tunable systems, and collaborations with spectroscopists across academia, government, and industry. The group integrates device modeling, fabrication in PMI cleanrooms, and optical characterization. Recent publications emphasize QCLs' design flexibility through quantum wells and barriers, enabling innovations in gain bandwidth, power efficiency, and tunability. These align with applications in trace gas sensing, medical diagnostics, and security systems. Scientific Awards: MacArthur Fellow (2005) Popular Science Brilliant 10 (2004) Snell Premium award (2003) MIT Technology Review TR100 (2002) Claire has mentored numerous graduate students, including Radhika Bhuckory and Mingkun Zhao, and leads interdisciplinary collaborations through MIRTHE's network of 6 universities, 40 faculty, and 40 industry partners. Her lab utilizes advanced fabrication facilities and emphasizes a balanced work style integrating modeling, experimentation, and scientific communication.