Find Academic Supervisors

• Clinical Psychology
• Child and Adolescent Mental Health
• Behavioral Therapy
• +3 more

Robin Weersing is a Professor of Psychology at San Diego State University's College of Sciences and Co-Director of the SDSU/UC San Diego Clinical Psychology Joint Doctoral Program. With a focus on child and adolescent mental health, her research emphasizes development of efficient psychosocial interventions for anxiety and depression, particularly in underserved populations. PhD in Clinical Psychology, University of California, Los Angeles (2000) MA in Clinical Psychology, University of California, Los Angeles (1995) BA in Psychology, Linfield College (1993) Her work bridges clinical psychology and health services research, prioritizing transdiagnostic behavioral therapies that address comorbid anxiety and depression in youth. Key areas include: Telehealth adaptation for diverse populations Parental influences on treatment outcomes Racial/ethnic disparities in mental health care Cost-effectiveness analysis of community interventions Implementation science for primary care settings Recent publications highlight therapeutic mechanisms like avoidance reduction and parent-child interaction modifications. Her lab examines: Neural reactivity changes during treatment Implementation barriers in low-resource settings Minority stress in LGBTQ+ youth Interpersonal conflict mediation

Thomas C. HildeView profile

Academic

• Political philosophy & ethics
• Climate change adaptation
• International environmental law
• +3 more

Thomas C. Hilde is an Associate Research Professor at the University of Maryland’s School of Public Policy, leading the environment/energy/climate/sustainability strategic focus area and co-directing the Indonesia research program at the Center for Global Sustainability (CGS). He also co-leads the university-wide Sustainability minor and advises the student-led Sustainability, Environment, and Energy Council (SEEC). As a Senior Fellow at CISSM and GoTech, he bridges policy, security, and technology governance. His research integrates philosophical pragmatism with practical climate policy, focusing on land use, energy decarbonization in Indonesia, Amazon deforestation conflicts, and climate ethics. He directs field courses in Indonesia and Peru, studying socio-ecological systems and policy interfaces. Key publications (2020–2025) analyze climate policy pathways, methane mitigation, EV infrastructure equity, and renewable energy investment in China. Recent work emphasizes the nexus between illegal gold mining, deforestation, and migration in the Amazon. Education: PhD in Philosophy (Pennsylvania State University) Awards: Fulbright Scholar (Venezuela, 2005), Edmond J. Safra Fellow (Harvard, 2014–2015) Grants/Consultancies: Worked with the Heinrich Böll Foundation, China’s Ministry of Ecology, and Indonesia’s National Development Planning Agency. His field courses (since 2011) combine interdisciplinary methods to address complex challenges in sustainable development and climate adaptation, emphasizing local knowledge systems and global policy coherence.

Vijay VaziraniView profile

Professor

• Algorithmic Game Theory
• Matching Markets
• Computational Complexity
• +6 more

Vijay Vazirani is a Distinguished Professor in the Department of Computer Science at the University of California, Irvine , where he directs the ACO Center @ UCI . He earned his Ph.D. in Computer Science from UC Berkeley and a S.B. from MIT. Vazirani is a Guggenheim Fellow , ACM Fellow , and 2022 INFORMS John von Neumann Theory Prize recipient. Research Areas: Algorithmic Game Theory, Matching Markets, Computational Complexity, Approximation Algorithms His groundbreaking work includes co-founding algorithmic game theory and solving a 30-year-old problem with an NC algorithm for perfect matching in planar graphs . Recent research focuses on matching-based market design, with a $500K NSF grant for advancing algorithms in matching and market equilibria. His 15 most recent papers explore topics like core imputations, stable matching lattices, and Nash bargaining solutions. Scientific Awards: Guggenheim Fellowship ACM Fellow 2022 INFORMS John von Neumann Theory Prize Vazirani advises numerous Ph.D. students and postdocs, including Tung Mai , Thorben Trobst , and Rohith Reddy Gangam . He contributes to major workshops and co-edited foundational texts like Algorithmic Game Theory and Online and Matching-Based Market Design .

• Computational Imaging
• Optical Systems Design
• Machine Learning
• +5 more

Nicholas Antipa is an Assistant Professor at the University of California San Diego's Jacobs School of Engineering, in the Electrical and Computer Engineering department. His research focuses on the co-design of optical systems and algorithms to develop advanced computational imaging systems, leveraging innovations in 3D printing, sensors, machine learning, and AI. He holds a PhD in Computational Imaging from UC Berkeley and previously worked at the Lawrence Livermore National Lab on optical metrology for the National Ignition Facility. His work includes pioneering projects like the DiffuserCam and Miniscope3D, which enable high-dimensional optical signal capture and 3D microscopy. Education: PhD in Computational Imaging, UC Berkeley (2020) MS in Optics, University of Rochester Institute of Optics BS in Optical Science and Engineering, UC Davis Research Interests: Computational imaging systems, single-shot high-dimensional optical capture, lensless imaging, and applications in neuroscience and marine science. His lab explores novel optical designs, compressed sensing, and AI-driven imaging techniques to push the boundaries of conventional systems. Scientific Awards: Best Paper at ICCP 2019, 2016 Best Demo at ICCP 2017 No. 2 in Optica 15 Top-Cited Articles (2020) Affiliations: Director of the Computational Imaging Systems Lab at UCSD. Collaborates with institutions like Lawrence Livermore National Lab and the Scripps Institution of Oceanography for projects in marine sediment mapping and underwater object detection. His lab emphasizes open-source tools, such as the DiffuserCam Raspberry Pi tutorial.

Alexander VladimirskyView profile

Professor

• Numerical Analysis
• Applied Mathematics
• Nonlinear PDEs
• +5 more

Roles & Affiliations: Professor of Mathematics at Cornell University, Department of Mathematics. Member of graduate programs in Mathematics, Applied Mathematics, Operations Research and Information Engineering, Theoretical & Applied Mechanics, and Computational Science & Engineering. Co-organizer of the Scientific Computing and Numerics (SCAN) Seminar and founder of the Cornell Mathematical Contest in Modeling. Education: Ph.D. in Applied Mathematics from University of California, Berkeley (2001); B.A. in Applied Mathematics (with high honors) from University of California, Berkeley (1995). Research Interests: Focuses on numerical analysis, nonlinear PDEs, control theory, and dynamical systems. Explores applications in optimal control, front propagation, anisotropy, bifurcation theory, and mathematical biology. Develops methods for invariant manifold approximation, Eikonal equations, and stochastic systems. Recent work includes studies on cancer therapy optimization, surveillance evasion, and pedestrian flow modeling. Teaching: Teaches courses like Introduction to Partial Differential Equations, Differential Games, Numerical Analysis, and Mathematical Modeling. Recent courses include Math 4280 (Spring 2025) and Math 3610 (Fall 2024). Labs/Teams: Active in interdisciplinary collaborations, including work on computational biology, robotics path planning, and mathematical contest problem-solving initiatives.

Barbara GivenView profile

Professor

• Nursing
• Oncology Caregiver Support
• Symptom Management in Cancer Patients
• +3 more

Barbara Given is a University Distinguished Professor in the College of Nursing at Michigan State University. Her research focuses on the interplay between formal healthcare systems and informal caregiver networks, particularly in oncology and geriatric populations. She has secured over 34 years of NIH funding, including grants from the National Cancer Institute, NIMH, and others. Dr. Given earned her Ph.D. at MSU, following a BSN and MSN from Ohio State University. Her work centers on caregiver burden, symptom management in chronic disease, and caregiver-patient communication. She developed the Caregiver Burden Instrument, widely used in research and clinical settings across multiple languages. Key research interests include: 1) caregiver stress and support systems, 2) symptom management in cancer patients, and 3) healthcare coordination challenges in aging populations. Her NIH-funded projects address adherence to oral chemotherapy, fall prevention in cancer survivors, and psychosocial outcomes post-treatment. Recent articles emphasize innovation in symptom tracking (e.g., text messaging for adherence), caregiver mental health barriers, and longitudinal symptom analysis. Awards/fellowships are not explicitly stated, though her sustained NIH support reflects significant recognition. Dr. Given advises on grants and mentors nurse researchers. She collaborates on interdisciplinary teams focused on palliative care, gerontology, and technology-based interventions. Her work bridges clinical practice and policy, advocating for integrated care models to reduce caregiver burden.

Janine JohnsonView profile

Professor

• Diverse Learners in Nursing Education
• Evidence-Based Nursing Practice
• Women's Health Issues
• +3 more

Dr. Janine Johnson is a Professor in the Undergraduate Nursing Department at Clarkson College, where she has been since 2012. She teaches in the traditional BSN and RN to BSN programs, as well as the Community Health Program. Her roles include dissertation chair duties in the Healthcare Education and Leadership program. Dr. Johnson holds degrees of Ed.D. (Doctor of Education) and MSN (Master of Science in Nursing), and is a registered nurse (RN). Her research focuses on addressing barriers faced by racially and ethnically diverse nursing students, promoting evidence-based practice, and women's health issues. She has developed educational resources including digital curricula, concept maps, and lesson plans for platforms like ATI EHR Tutor and ATI Engage Fundamentals. Her work emphasizes inclusive education strategies and faculty development. Dr. Johnson has received multiple teaching and scholarship awards, including the Sigma Theta Tau Rising Star recognition and nominations for the Apple Award and Teaching Excellence. She actively contributes to professional development through presentations at national conferences such as Sigma Theta Tau and Elsevier events. Key Roles: Dissertation Committee Member, Course Instructor (NRS 352, NRS 475, CHL 364, etc.) Professional Memberships: Sigma Theta Tau International, National Society of Leadership and Success

Theresa RaimondoView profile

Assistant Professor

• Biomaterials
• Drug Delivery
• RNA-based Therapeutics
• +5 more

Theresa Raimondo is the Manning Assistant Professor of Engineering at Brown University, with a secondary appointment in the Division of Biology and Medicine. She joined the Brown Engineering faculty in January 2024 after completing her postdoctoral training at MIT's Koch Institute. Dr. Raimondo leads the Raimondo Research Lab, which focuses on chemically modifying RNA and designing nanoparticles for therapeutic delivery to the body, an immunotherapy concept that holds immense promise in the field of immunoengineering. Her educational background includes: PhD in Engineering Sciences – Bioengineering from Harvard University (2019) MEng from Harvard University (2019) Sc.B. in Chemical and Biochemical Engineering from Brown University (2011) Dr. Raimondo's research is broadly focused on the design of targeted drug-delivery vectors and novel RNA-based therapeutics for applications in cancer, immunotherapy, and tissue regeneration. Her work primarily centers on developing novel lipid nanoparticles (LNPs) for RNA-based therapies, contributing to adjuvanted mRNA-based vaccines and siRNA-based cancer immunotherapies. By optimizing LNP formulation and modulating RNA constructs, she seeks to understand how RNA-LNPs modulate immunity and develop new therapeutic approaches. Her expertise spans biomaterials, drug delivery, biomolecular engineering, nanomedicine, tissue engineering, and regenerative medicine. Analysis of Dr. Raimondo's recent publications reveals a strong focus on RNA delivery systems and lipid nanoparticle technology. Her work spans from fundamental studies on nanoparticle design to applications in cancer immunotherapy, vaccine development, and tissue regeneration. A significant portion of her research involves optimizing lipid formulations for improved mRNA delivery and exploring how these systems interact with the immune system. Her publications demonstrate a trajectory from basic biomaterials research to increasingly translational work with therapeutic applications. Dr. Raimondo has received numerous prestigious awards: 2025 NAE Symposium selection (Grainger Foundation Frontiers of Engineering) 2025 appointment to the inaugural Early Career Board of ACS Applied Bio Materials 2024 selection as MIT Faculty Founder Initiative finalist 2022 Convergence Scholar fellowship from MIT's Marble Center for Cancer Nanomedicine National Science Foundation graduate research fellowship Harvard's Smith family graduate fellowship Dr. Raimondo is actively involved in mentoring students through courses including ENGN 0931L - Biomedical Engineering Design and Innovation II, ENGN 1490 - Biomaterials, and ENGN 1931L - Biomedical Engineering Design and Innovation II. Her research program is supported by various grants, though specific funding sources aren't detailed in the provided text. The Raimondo Research Lab represents a dynamic environment where engineering principles are applied to solve complex biological challenges in drug delivery and regenerative medicine. The Raimondo Research Lab at Brown University serves as a hub for innovation in RNA delivery and biomaterials design. The lab brings together expertise in chemical engineering, molecular biology, and immunology to develop next-generation therapeutic platforms. Current research directions include optimizing lipid nanoparticle formulations, exploring novel RNA modifications, and investigating immune responses to RNA therapeutics across various disease contexts.

Simon DobsonView profile

Professor

• Complex Systems
• Sensor Systems
• Data Analytics
• +3 more

Simon Dobson is a Professor of Computer Science and Deputy Head of the School of Computer Science at the University of St Andrews. His research focuses on complex systems, sensor analytics, computational tools for simulation, and data analytics. He leads grants exceeding EUR30M, including a £5M EPSRC-funded programme in Sensor Systems Software. He is a Fellow of the Royal Society of Edinburgh (2020) and advises the Scottish government. Education: BSc (University of Newcastle), DPhil (University of York), both in Computer Science. Professional: Chartered Engineer, Fellow of the British Computer Society. Research Interests: Complex systems, network science, higher-order networks, epidemiological modeling, and sensor data integration. Teaching: CS4203 (Computer Security), CS5728 (Complex Systems Modelling). Supervises PhD/MSc projects. Awards: Includes RSE Fellowship, BCS Fellowship, and multiple leadership roles in conferences and committees.

• Software Engineering
• Graph Transformation Systems
• Model-Based Development
• +5 more

Reiko Heckel is a Professor of Software Engineering at the University of Leicester, serving as Director of Postgraduate Teaching for Computing degrees and Data Analytics Lead at the Leicester Innovation Hub. She previously held academic roles at the Technical Universities of Dresden and Berlin before joining Leicester in 2004. Her research focuses on graph transformation systems, model-based development, stochastic modeling, and formal methods in software engineering. She earned her PhD (Dr.-Ing.) in Computer Science from TU Berlin in 1998. Her research interests span software engineering pedagogy, formal specification techniques, and applications of graph grammars in system modeling. Recent work explores stochastic graph transformations for social networks, transparency engineering in AI systems, and blockchain-based smart contract frameworks. Her contributions bridge theoretical foundations with practical applications in cybersecurity, data integration, and human-centric systems design. Key contributions include advancements in automated test case generation via graph transformations, visual contracts for software reverse engineering, and formal methods for complex system analysis. Her work frequently intersects with industry through collaborations via the Leicester Innovation Hub, emphasizing data analytics and technology transfer. Education: MSc Computer Science, Technical University of Dresden PhD (Dr.-Ing.), Computer Science, TU Berlin (1998) Leadership Roles: Head of Department (2014-2018) Director of Postgraduate Teaching (Ongoing) Research Themes: Model-Based Development Stochastic Systems Analysis Graph Neural Networks Trustworthy AI Her publications reflect a focus on formal methods, with recent trends in applying graph transformation techniques to social network modeling, blockchain smart contracts, and educational pedagogy.

Steven SicilianoView profile

Professor

• Soil Toxicology
• Environmental Science
• Polar Ecosystems
• +5 more

Steven Siciliano is a Professor and NSERC/FCL Industrial Research Chair in In Situ Remediation and Risk Assessment at the University of Saskatchewan's College of Agriculture and Bioresources. He leads the CREATE Human and Ecological Risk Assessment Program. His expertise spans soil toxicology, greenhouse gas dynamics in polar ecosystems, and nitrogen cycle interactions in contaminated environments. Education: Ph.D. in Toxicology, University of Saskatchewan B.Sc. in Biochemistry, Concordia University Research Interests: His work focuses on human-soil interaction dynamics, including soil pollution impacts on human health (e.g., PAH toxicity via soil ingestion) and ecosystem resilience (e.g., nitrogen cycle disruptions). He investigates Arctic/Antarctic soil microbiology, greenhouse gas production in polar deserts, and the ecological effects of pollutants like mercury and petroleum hydrocarbons. His lab is divided into toxicology (e.g., metal cardiovascular effects, soil ingestion models) and ecology (e.g., sub-zero water effects on gene expression, Arctic nitrogen cycles). Teaching: Teaches courses on environmental fate analysis, contaminated site management, and advanced risk assessment methodologies at both undergraduate and graduate levels. Courses include EVSC 420, TOX 820, and EVSC 821. Grants & Labs: Directs the CREATE Program and leads projects funded by NSERC and industry partnerships. His lab integrates fieldwork, molecular techniques, and modeling to address environmental remediation challenges. Collaborates on projects like cryoturbation-driven carbon dynamics and microbial community analysis in agricultural systems. Labs/Teams: Active in soil science research teams, including Arctic soil microbiology and bioremediation innovation groups. Engages in interdisciplinary collaborations with environmental engineers and ecologists to advance in situ remediation technologies.

• Applied Mathematics
• Climate Science
• Oceanography
• +3 more

Dr Jordan Pitt is an academic affiliated with the University of Sydney's Faculty of Science. He holds the role of Associate Dean (Indigenous Strategy and Services) while also actively contributing as an applied mathematician. His work emphasizes interdisciplinary research and Indigenous inclusion in academia. Dr Pitt completed his PhD at the Australian National University in 2019, focusing on tsunami and storm surge modeling. He pursued post-doctoral research at the University of Adelaide, where his studies expanded into ocean wave-sea ice interactions. Current research investigates how wave dynamics influence sea ice growth/melt cycles, a critical factor in Earth's climate systems. Research Interests: Mathematical modeling of environmental systems Ocean wave mechanics Climate change impacts on sea ice Computational fluid dynamics While no specific scientific awards are explicitly listed, Jordan has been involved in initiatives like co-convening the Academy of Science’s 'Looking Back, Moving Forward' Public Lecture Series (2023) and organizing the ANZIAM 2024 Early Career Workshop. His efforts bridge Indigenous communities with STEM fields through programs like Science Pathways. As an educator and researcher, Jordan has not listed formal advisees or grants in the provided texts. His professional networks include roles in Indigenous strategy and academic service. Jordan’s work is associated with laboratories and teams focused on environmental fluid dynamics and climate modeling, though specific lab names are not mentioned.

Ahmet T. KaramustafaView profile

Professor

• Early Modern History
• Medieval History
• Middle Eastern Studies
• +4 more

Professor Ahmet T. Karamustafa serves as Professor and Department Chair of History at the University of Maryland, College Park, and holds affiliations with the Roshan Institute for Persian Studies and the School of Languages, Literatures, and Cultures. He also serves as Senior Advisor to PersDig@UMD. His research focuses on medieval and early modern Islamic intellectual history, Sufism, and Ottoman Turkish religious texts. Key works include Sufism: The Formative Period (2007) and God’s Unruly Friends (1994), exploring ascetic movements and mystical literature. Current projects include The Flowering of Sufism and Vernacular Islam . His academic contributions span editorial roles in major publications like Cartography in the Traditional Islamic and South Asian Societies (1992). Research expertise bridges religious studies theory, Ottoman manuscript analysis, and medieval Anatolian religious dynamics. Administrative experience includes directing Washington University's Religious Studies Program and co-chairing the American Academy of Religion’s Study of Islam Section (2008–2011). Research interests emphasize comparative religious frameworks, Sufi textual traditions, and the interplay between Islamic intellectual history and regional cultural contexts. His work critically engages Western models of religion through Islamic conceptual frameworks like 'din,' offering new methodologies for studying premodern Muslim thought.

• Artificial Intelligence
• Operations Research
• Revenue Management
• +3 more

Yuri Levin is a Professor at the Smith School of Business, Queen’s University, where he holds the Stephen J.R. Smith Chair of Analytics and serves as Founding Executive Director of the Smith School of Business Analytics and AI. He also leads the Scotiabank Centre for Customer Analytics. His research focuses on Analytics & AI, with expertise in revenue management, dynamic pricing, and strategic consumer behavior. Levin holds a Ph.D. in Operations Research from Rutgers University and degrees in Economics and Applied Mathematics from Belarus State University. Levin’s academic contributions include co-winning the 2013 INFORMS Revenue Management and Pricing Practice Prize and the 2009 INFORMS COIN-OR Cup. He has advised companies like Scotiabank, Loblaws, and McDonald’s on pricing strategies and consumer analytics. As an Associate Editor of Operations Research , he shapes academic discourse in operations research and pricing strategies. Education: Ph.D. in Operations Research, RUTCOR, Rutgers University (2001) B.S. in Economics, Belarus State University (1998) M.S. (Honours) in Applied Mathematics, Belarus State University (1998) His research explores dynamic pricing models under social influence, strategic consumer behavior, and revenue management in hospitality and retail industries. He has pioneered methodologies for optimizing pricing strategies in networked markets and developed algorithms for cargo capacity management. Awards: 2010 Queen’s School of Business Award for Research Achievement 2003 New Researcher Achievement Award Levin’s teaching spans MBA, Master of Management Analytics (MMA), and executive education programs, covering analytical decision-making and pricing optimization. His advisory work includes roles as a Visiting Professor at the Skolkovo Moscow School of Management and the University of Cambridge’s Judge School of Business.

Jacinta C. BeehnerView profile

Associate Professor

• Primatology
• Evolutionary Biology
• Sexual Conflict Theory
• +3 more

Dr. Jacinta C. Beehner is an Associate Professor in the Department of Anthropology & Psychology at the University of Michigan. Her research focuses on sexual conflict theory, reproductive strategies in primates, and the physiological and behavioral mechanisms underlying these dynamics. She directs the Core Assay Facility/Beehner Endocrine Laboratory and co-directs the Simien Mountains Gelada Research Project, Capuchins at Taboga, and the Evolution and Human Adaptations Program. Her work examines non-human primates like geladas, capuchins, and baboons in natural African and American habitats. Key themes include infanticide avoidance, hormonal responses to environmental stress, and the evolutionary implications of reproductive trade-offs. Recent studies highlight the impact of climate change on primate health, the role of social status in parasite resistance, and hormonal adaptations to high-altitude environments. Beehner has contributed to over 60 peer-reviewed articles since 2015, spanning topics from primate social networks to genomic adaptations. Her fieldwork emphasizes integrative methods combining endocrinology, genetics, and behavioral observation. She has presented at international forums like the National Geographic Explorer’s Festival and collaborates across disciplines to advance primate conservation and evolutionary biology.