Find Academic Supervisors

• Law and public policy
• Tobacco regulation
• Public health law
• +5 more

Graham Kelder is an Associate Professor in the Department of Political Science & Legal Studies at Suffolk University's College of Arts & Sciences, where he also serves as Co-Director of LAWU Legal Studies and Prelaw Advisor. His academic background includes a JD from Northeastern University School of Law, an MDiv from Boston University, and a BA from The Johns Hopkins University. Research Focus: Professor Kelder's scholarship centers on the intersection of law, public policy, and health regulation. His primary expertise includes tobacco control litigation, public health law, constitutional law, and food industry regulation. He examines legal mechanisms for corporate accountability and has extensively researched the impacts of the multistate tobacco settlement. Professional Experience: Before joining Suffolk, Kelder held significant roles including Project Director at Dana-Farber Cancer Institute's Organized Labor & Tobacco Control Network, Senior Policy Analyst at Massachusetts Association of Health Boards, and Managing Attorney at Northeastern University's Tobacco Control Resource Center. He also served as a Judicial Law Clerk for the Massachusetts Superior Court. Publications: His research output demonstrates a consistent focus on tobacco regulation through legal and policy frameworks. Recent works explore coalition-building with labor organizations, fire-safe cigarette legislation, and occupational health disparities. His publications frequently appear in peer-reviewed journals and legal anthologies, with recurring themes of litigation strategies and regulatory enforcement. Teaching: Kelder teaches diverse courses including American Constitutional Law, Politics and Religion, Civil Litigation, Paralegal Practice, and specialized seminars on regulatory politics and corporate accountability. His freshmen seminars explore historical and contemporary legal challenges through case studies like the Tea Party Movement and tobacco litigation. Editorial Contributions: He has edited several policy manuals and legal anthologies, including the Multistate Master Settlement Agreement Guide and Controlling the Sale and Use of Tobacco in Massachusetts . He previously served as Editor-in-Chief of Tobacco Control Update and contributed to the U.S. Surgeon General's report on tobacco reduction.

Tian HongView profile

Associate Professor

• Systems Biology
• Bioinformatics
• Cancer Biology
• +7 more

Tian Hong is an Associate Professor at the Department of Biological Sciences, The University of Texas at Dallas , with a joint appointment as Research Associate Professor at the Department of Biochemistry & Cellular and Molecular Biology, The University of Tennessee, Knoxville . His research focuses on systems biology, bioinformatics, cancer biology, and mathematical biology , particularly the plasticity and heterogeneity of epithelial and immune cells during development and cancer progression . He develops computational and mathematical models for gene regulatory networks, pattern formation, and dynamical systems. Education : PhD in Genetics, Bioinformatics and Computational Biology from Virginia Tech; MS in Bioinformatics from Nanyang Technological University, Singapore; BS in Biological Sciences from Nanyang Technological University, Singapore. Previous Appointments : Associate Professor (2023–2024) and Assistant Professor (2017–2023) at The University of Tennessee, Knoxville. His recent publications explore noncoding RNA-driven oscillations , Turing pattern formation without feedback , and epithelial-mesenchymal transitions using single-cell transcriptomics and mathematical modeling . He has received the Professional Promise in Research and Creative Achievement Award (2024) and the Transdisciplinary Team Science Fellow (2009). His work is funded by NIH grants including R35GM149531 (PI) and R01GM140462 (completed PI). Dr. Hong advises PhD and Master’s students and collaborates with researchers at the Center for Systems Biology, UT Dallas . His lab ( link ) actively seeks undergraduate, graduate, and postdoctoral researchers interested in interdisciplinary computational biology .

• Electromagnetics
• Nonlinear Optics
• High-Performance Computing
• +6 more

Mohammad Zunoubi is an Associate Professor in the Department of Engineering Programs at SUNY New Paltz, part of the School of Science & Engineering. He holds an undergraduate degree from the University of Mississippi and a postgraduate degree from the University of Illinois at Urbana-Champaign. His research focuses on High-Performance Computing solutions for electromagnetic problems, Nonlinear Optics, and Microwave/Antenna Design. He has conducted extensive work in Computational Electromagnetics, utilizing methods like FDTD and FEM. His teaching interests span Electromagnetics, Numerical Methods, and EMC/EMI. He has been recognized with multiple awards, including the SUNY Provost’s Research Award (2005) and several United States Air Force Summer Faculty Fellowships (2009–2017). His research often involves collaboration with the Air Force, focusing on advanced electromagnetic modeling and high-power microwave effects. Dr. Zunoubi’s publications highlight contributions to antenna design, electromagnetic compatibility, and high-performance computing techniques. His work bridges theoretical electromagnetics with practical applications in aerospace, medical physics, and material science.

Yichuang SunView profile

Professor

• Wireless Communications
• 5G/6G Technologies
• RF Circuits and Systems
• +7 more

Yichuang Sun is a Professor of Communications and Electronics at the University of Hertfordshire, leading the Communications and Intelligent Systems Research Group and the Electrical and Electronic Engineering Department. He holds a PhD from the University of York (1996) and has over 450 peer-reviewed publications, 5 authored books, and 40+ supervised PhD students. His research focuses on wireless communications (5G/6G, RIS-aided systems), RF/microwave circuits, neuromorphic computing, and machine learning applications. He serves as Editor or Guest Editor for 12+ IEEE/IET journals and chairs technical committees for IEEE conferences. Notably ranked in the World's Top 2% Scientists since 2019, he also advises global institutions like Oxford and the Royal Academy of Engineering. Education: PhD in Electronics, University of York, UK (1996) Research Interests: Wireless/Mobile Communications and Networks RF and Microelectronic Circuits Neuromorphic Computing and Machine Learning Memristor-based Systems Secure and Energy-Efficient Communications Grants & Projects (selected): Advanced mmWave MIMO 4D Radar for Traffic Detection (2024–2027) Wireless Power Transfer for Implantable Medical Devices (2023–2025) RFID System for Sample Management (2021–present) Labs/Teams: Leads the Communications and Intelligent Systems Research Group, collaborating on 6G, neuromorphic hardware, and IoT systems.

Jen SmithView profile

Academic

• Illicit and emerging drugs
• Public Health
• Qualitative Research
• +3 more

Jen Smith is a Senior Research Fellow at the University of Western Australia (UWA), serving as national coordinator and public health co-lead for the Emerging Drugs Network of Australia (EDNA). Her work focuses on illicit and emerging drug toxicosurveillance, combining clinical toxicology with public health strategy. She holds a PhD in adolescent sexual behavior and pregnancy intentions (2010) and prior roles at Curtin University's School of Public Health. Research & Collaboration : EDNA, a 5-year national collaboration, monitors illicit drug harm in emergency departments (EDs) across five states. Jen's expertise spans qualitative research, policy evaluation (e.g., WA's 'Target 120' initiative), and drug-related health system preparedness. She has published extensively on drug intoxication patterns, clinical predictors of exposure, and emergency medicine protocols. Awards & Recognition : Received the 2024 Vice-Chancellor’s Award for Research Impact and Innovation for contributions to toxicosurveillance. Her work aligns with UN SDGs addressing health and well-being. Key Projects : Includes datasets on ED drug use trends, evaluation of public health initiatives, and collaborations with forensic labs, emergency physicians, and policy bodies.

Corentin CoulaisView profile

Professor

• Mechanical Metamaterials
• Active Matter
• Topological Materials
• +5 more

Dr. Corentin Coulais is a Professor in the Department of Physics at the University of Amsterdam's Faculty of Science. He leads the Machine Materials Laboratory, focusing on cutting-edge research at the intersection of physics, materials science, and engineering. His work explores the fundamental mechanics of structured materials and their applications in robotics, sensing, and programmable matter. Dr. Coulais's research interests center on mechanical metamaterials, active matter, and topological materials. His laboratory investigates how to design materials with unprecedented properties by leveraging mechanical instabilities, nonlinearity, and topology. His work spans from fundamental theoretical concepts to practical applications in soft robotics, shape-morphing structures, and energy absorption systems. The research combines experimental approaches with computational modeling and increasingly incorporates machine learning techniques for design optimization. His recent publications reveal a strong trend toward increasingly sophisticated control of material behavior through topological principles, active components, and learning algorithms. His work has evolved from basic mechanical metamaterials to systems incorporating non-reciprocity, active matter principles, and machine learning for design. The research spans fundamental physics of mechanical systems to practical applications in robotics and programmable matter. Dr. Coulais has established the Machine Materials Laboratory as a leading center for mechanical metamaterials research. His team develops innovative experimental setups and theoretical frameworks to explore the rich behavior of structured materials. The laboratory maintains strong connections with other research groups internationally and collaborates across disciplines including physics, engineering, and computer science.

• Adapted Physical Education
• Inclusive Physical Education
• Physical Education for Students with Disabilities
• +4 more

Wesley Jay Wilson serves as Assistant Professor in the Department of Kinesiology and Community Health within the College of Applied Health Sciences at the University of Illinois Urbana-Champaign, with an affiliate appointment at the Siebel Center for Design. His research examines critical equity issues in physical education systems across educational settings. His primary research domains include Adapted Physical Education, Inclusive Physical Education for Students with Disabilities, and Physical Education Policy analysis. Wilson investigates systemic barriers in physical education access through multi-state U.S. studies and international collaborations (notably in Chile), focusing on geographic/grade-level disparities and inclusion practices for students with Down syndrome. His work extends to doctoral socialization processes in adapted physical activity and secondary educator training in strength conditioning. Recent publication trends reveal concentrated scholarship on structural inequities in school-based physical activity access (2024-2025), with methodological emphasis on multi-region U.S. analyses and cross-cultural comparisons. His collaborative projects consistently address teacher perspectives, policy implementation gaps, and evidence-based interventions to improve physical education equity. Wilson actively contributes to adapted physical activity scholarship through empirical studies examining teacher preparation, student inclusion frameworks, and systemic access barriers, positioning him as a contemporary researcher addressing urgent challenges in physical education equity and practice.

• HIV/AIDS
• Cancer
• Implementation Science
• +5 more

Raul U. Hernandez-Ramirez is a Research Scientist in Biostatistics at the Center for Methods in Implementation and Prevention Science (CMIPS) at the Yale School of Public Health. He serves as Director of the Dissemination and Implementation Science Methods (DISM) Core at the Center for Interdisciplinary Research on AIDS (CIRA) and is an Affiliated Faculty member at the Yale Institute for Global Health. His work bridges biostatistics, implementation science, and global health research with a focus on practical applications for public health improvement. Dr. Hernandez-Ramirez earned his PhD in Public Health (Chronic Disease Epidemiology) from Yale University in 2018, following an MPhil in the same field in 2016. During his doctoral studies, he conducted research as a predoctoral visiting fellow at the National Cancer Institute (NCI). He further enhanced his expertise through specialized training programs including the Training Institute for Dissemination and Implementation Research in Cancer (TIDIRC) and the Multilevel Intervention Training Institute (MLTI) from NCI, as well as training in optimization of multicomponent interventions using the Multiphase Optimization Strategy (MOST). His research primarily focuses on HIV/AIDS, cancer, and implementation science. He develops and applies causal inference methods for evaluating HIV prevention interventions and methods to account for exposure uncertainty in environmental health studies. His work spans multiple settings including New Haven, other locations in the United States, and low- and middle-income countries, particularly Mexico. He is particularly interested in adapting and developing interventions to increase the uptake of evidence-based practices for HIV and cancer prevention and care, including follow-up care for abnormal cervical cancer screens. He is a member of the Yale Cancer Center (YCC) and the Yale Institute for Global Health (YIGH). Analysis of Dr. Hernandez-Ramirez's recent publications reveals a strong focus on gastric cancer epidemiology through the Stomach cancer Pooling (StoP) Project, examining dietary factors and their relationship to cancer risk. His work prominently features implementation science methodologies applied to HIV prevention and cancer screening programs, particularly in Mexican and other international settings. His research combines rigorous biostatistical methods with practical applications in global health contexts, with significant contributions to causal inference methods and network-randomized trial analysis. Provides expertise, consultations, and technical assistance on implementation science through CIRA's DISM core Contributes to projects in Ending the HIV Epidemic (EHE) priority areas through the CIRA-affiliated IS hub R3EDI Collaborates on research projects in New Haven, other US settings, and low- and middle-income countries including Mexico Offers seminars and trainings on research methods, design, and analysis to CIRA affiliates Dr. Hernandez-Ramirez previously gained substantial research experience in nutrition, environmental health, and cancer at the National Institute of Public Health of Mexico, where he worked as a researcher and instructor and served as project coordinator, data manager, and main statistician for a multistate study. He holds an MSc in Epidemiology and a BSc in Nutrition, establishing a strong foundation for his current work at the intersection of nutritional epidemiology and implementation science.

John RinzelView profile

Professor

• Computational Neuroscience
• Biophysical Mechanisms
• Neural Computations
• +3 more

John Rinzel is a Professor of Neural Science and Mathematics at New York University, affiliated with the Center for Neural Science and the Courant Institute. He holds academic positions within the College of Arts and Science and the Graduate School of Arts and Science. His research focuses on computational neuroscience, integrating biophysical mechanisms with mathematical modeling to understand neural computations at cellular and network levels. Education: Ph.D. in Mathematics (1973) and M.S. in Mathematics (1968) from NYU’s Courant Institute, and a B.S. in Engineering from the University of Florida (1967). Ph.D. in Mathematics, NYU Courant Institute (1973) M.S. in Mathematics, NYU Courant Institute (1968) B.S. in Engineering, University of Florida (1967) Research Interests: Rinzel studies biophysical mechanisms underlying neural computations, including dendritic computation, neuronal excitability, auditory pathway modeling, perceptual bistability, and rhythmic timing. His work combines theoretical models with experimental collaborations, emphasizing reduced biophysical models for cellular and network-level dynamics. Recent research trends include auditory streaming, perceptual dynamics, and rhythmic beat generation in music. His models explore gamma oscillations, thalamic spindle rhythms, and sleep-related neural excitability. Publications highlight applications in sensory processing, neural network oscillations, and cognitive functions like attention and memory coordination. No scientific awards explicitly listed. Rinzel leads a research group focusing on computational neuroscience, collaborating on projects involving auditory neuroscience, mathematical biology, and theoretical neurophysiology. His lab is part of NYU’s Center for Neural Science, fostering interdisciplinary approaches to brain function.

Kathleen AdelgaisView profile

Professor

• Pediatric Emergency Medicine
• Emergency Medical Services (EMS) for Children
• Child Abuse and Neglect
• +4 more

Kathleen Adelgais, MD, MPH, is a Professor at the University of Colorado Anschutz Medical Campus School of Medicine in the Department of Pediatrics-Emergency Medicine. She serves as Project Director for the Colorado EMS for Children Program and holds board certifications in Pediatrics (1998), Pediatric Emergency Medicine (2004), and Emergency Medical Services (2022). Her research focuses on pediatric emergency care , EMS for children , simulation training , and child abuse recognition . Recent work explores AI-powered speech recognition in emergency settings, sepsis management, trauma triage protocols, and health equity in pain medication administration. Notable contributions include: Co-developer of the PECARN cervical spine imaging prediction rule Advocate for standardized pediatric disaster triage simulations Research on smart glasses in EMS workflows Leadership in statewide EMS guideline implementation Awards include Fellow status at the American Academy of Pediatrics and National Association of EMS Physicians. She collaborates extensively with organizations like PECARN and NAEMSP, and her work appears in journals such as Lancet Child & Adolescent Health and Academic Emergency Medicine .

Rob AnexView profile

Professor

• Biological systems analysis
• Life cycle assessment
• Techno-economic analysis
• +3 more

Rob Anex is a Professor at the University of Wisconsin-Madison, affiliated with the Biological Systems Engineering Department in the College of Agricultural and Life Sciences. He holds program affiliations in Energy Analysis & Policy and the Graduate Certificate in Environment & Resources. His research focuses on systems for producing energy, fuels, and biorenewable products, emphasizing life cycle assessment (LCA) and techno-economic analysis (TEA). Dr. Anex earned his B.S. (1981) and M.S. (1983) in Mechanical Engineering from the University of California, Davis, followed by a Ph.D. (1995) in Environmental Engineering from the same institution. His work integrates laboratory process development with large-scale system modeling to address food, water, and energy security challenges. Research Interests: Biorenewable chemicals and fuels production Nutrient recovery and cycling in biofuel systems Environmental impacts of biomass production Climate change mitigation via carbon capture and utilization Agrisolar co-location and land-use efficiency Key Awards: Federal Biomass Research & Development Technical Advisory Committee (2019–present) USDA Partnership Award for Multistate Efforts (2016) U.S. EPA Board of Scientific Counselors (2008–2009) Grants & Advising: Dr. Anex has led projects on biorefinery systems, sustainable agriculture, and carbon-negative materials. His advising focuses on interdisciplinary challenges in bioenergy and environmental engineering. He is affiliated with the Wisconsin Energy Institute and collaborates across engineering, agricultural, and environmental disciplines. Labs & Teams: Active in the Engineering Research Center for Biorenewable Chemicals (CBiRC) and the Wisconsin Energy Institute , advancing technologies for sustainable energy production and resource management.

• Environmental Economics
• Public Economics
• Data Analysis
• +12 more

Kathleen Bell is a Professor of Resource Economics and Policy at the University of Maine, affiliated with the School of Economics within the College of Natural Sciences, Forestry and Agriculture. She is also supported by the Maine Agricultural and Forest Experiment Station and leads the Hatch Multistate project ME031802. Her work integrates economics with environmental and public health issues, focusing on sustainable land and water management, rural development, and climate resilience. Education: Ph.D. in Economics, University of Maryland A.B. in Economics & Environmental Studies, Bowdoin College Her research spans environmental economics, public economics, and data analysis, with a strong emphasis on interdisciplinary approaches. Key interests include rural economic development, natural resource management, outdoor recreation, public policy, and risk communication. She studies how individuals, organizations, and markets interact with environmental systems, using spatial analysis and decision-making models to inform private and public policies. Dr. Bell's publications appear in top journals such as Proceedings of the National Academy of Sciences , Land Economics , and Marine Resource Economics . Her work reflects a trend toward integrated, evidence-based solutions that bridge economic, social, and environmental systems, with increasing focus on climate adaptation, stakeholder engagement, and valuation of ecosystem services. Scientific Awards: University of Maine’s Excellence in Faculty Mentoring Award (2018) Dr. Bell advises undergraduate and graduate students in Economics and Ecology & Environmental Science. She has led large interdisciplinary research projects funded through the Experiment Station and federal programs. Her leadership extends to service on editorial boards and as a reviewer for major journals and federal grant panels. She is committed to workforce development and mentoring future leaders in data-driven environmental policy. She is actively involved in research programs that connect science with decision-making, particularly through the School of Economics and the Maine Agricultural and Forest Experiment Station. Her lab and research team focus on economic valuation, risk communication, and modeling human-environment interactions in rural and coastal communities.

• Distribution Theory
• Run and Pattern Analysis
• Statistical Quality Control
• +5 more

Demetrios Antzoulakos is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus. He holds leadership roles as Head of the Department since January 2014 and Director of the MSc in Applied Statistics program. He has been affiliated with the University of Piraeus since 1998, progressing through Lecturer (1998-2000) to Assistant Professor (2000-2006) before his current role. His research focuses on distribution theory, run and pattern analysis, statistical quality control, and actuarial science applications. Education: Ph.D. in Mathematics, University of Patras (1990) Diploma in Mathematics, University of Patras (1986) Teaching: Undergraduate courses include Probability I/II and Life Insurance II. Postgraduate courses cover Data Analysis, Statistical Quality Control, Survival Analysis, and Life Contingencies. Research Interests: Span distribution theory of runs, control charts, start-up demonstration tests, and Fibonacci polynomials. His work bridges theoretical probability with practical applications in risk theory and quality assurance. Refereeing: Serves as a referee for journals like Journal of Applied Probability , Annals of the Institute of Statistical Mathematics , and IEEE Transactions on Reliability .

Vincent TournatView profile

Researcher

• Nonlinear Acoustics
• Mechanical Metamaterials
• Wave Propagation
• +5 more

Vincent Tournat is a CNRS Researcher affiliated with the Institute of Acoustics at Le Mans Université. His work spans nonlinear acoustics, mechanical metamaterials, and wave propagation in complex media.

Katia BertoldiView profile

Professor

• Mechanical Engineering
• Materials Science
• Applied Mathematics
• +7 more

Katia Bertoldi is the William and Ami Kuan Danoff Professor of Applied Mechanics at Harvard University's John A. Paulson School of Engineering and Applied Sciences . She leads the Bertoldi Group: Solid Mechanics , focusing on mechanical metamaterials, multistable systems, and soft robotics. Her work integrates applied mathematics, materials science, and nonlinear dynamics to design architected materials with programmable properties. Research interests include: Mechanical metamaterials with tunable properties Multistable structures for energy absorption and reprogrammability Soft robotics leveraging origami/kirigami principles Machine learning-driven design of complex materials Recent work emphasizes reprogrammable systems (e.g., magnetic and thermal actuation) and textile-based metamaterials for wearable applications. Her team collaborates across disciplines, addressing challenges in biomedical devices, robotics, and sustainable manufacturing. Key contributions include: Developing metafluids with programmable shell instabilities Designing inflatable origami actuators for meter-scale reconfigurable structures Creating knitted fabrics with tunable mechanical responses Her lab explores energy-efficient actuators, adaptive fluid networks, and AI-driven material discovery, aiming to bridge theory and real-world applications.