Find Academic Supervisors

Mitchell L. NeilsenView profile

Professor

• Cyber-Physical Systems
• Distributed Systems
• Scientific Computing
• +7 more

Mitchell L. Neilsen is a Professor in the Department of Computer Science at Kansas State University's College of Engineering, where he also serves as the graduate program director. He holds the Warren and Gisela Kennedy - Carl and Mary Ice Keystone Research Scholar position and maintains an active research program with multiple ongoing projects. His educational background includes a Ph.D. in Computer Science (1992), M.S. in Computer Science (1989), and M.S. in Mathematics (1987), all from Kansas State University, plus a B.S. in Mathematics Education from the University of Nebraska-Kearney (1982). After beginning his career as an assistant professor at Oklahoma State University, he returned to K-State in 1996. Research Interests: Cyber-Physical Systems: Design, Analysis, Verification of systems integrating computing, networking, and physical processes Distributed Systems: Algorithms, design, and analysis of distributed computing systems Scientific Computing: Computational Fluid Dynamics, Finite Element Analysis, High Performance Computing, and Simulation Application Areas: Agriculture technology, Dam safety analysis, Mobile applications, Natural resources management, and Real-time Embedded Systems His research program shows clear evolution toward agricultural technology applications, particularly high-throughput phenotyping, while maintaining strong foundations in cyber-physical systems and scientific computing. Recent publications indicate increasing integration of machine learning and computer vision techniques into traditional research areas. Research Funding: National Science Foundation U.S. Department of Agriculture Sandia National Laboratories Department of Homeland Security Private industry partners Dr. Neilsen has mentored numerous graduate students through their M.S. and Ph.D. programs, with recent advisees focusing on applications in agricultural technology, dam safety, and embedded systems. His advising approach emphasizes practical applications of theoretical computer science concepts. Current Teaching (Fall 2024): CIS 450 - Computer Architecture and Operations CIS 625 - Concurrent Software Systems CIS 720 - Advanced Operating Systems

Jeppe RichView profile

Professor

• Transport Demand Modeling
• Discrete Choice Models
• Freight Transport Modelling
• +3 more

Jeppe Rich is a Professor at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His primary research focuses on statistical and mathematical modeling applied to transport-related challenges, including transport demand modeling, discrete choice models, freight transport, cost-benefit assessments, and strategic long-term demand models. Rich holds a Mathematical Planning qualification from the University of Aarhus (1989–1995). He has held external positions as a Senior Consultant at Atkins A/S (2001–2002) and as a Researcher at the National Environmental Research Institute (1995–1998). His work aligns with UN Sustainable Development Goals related to sustainable cities and communities (SDG 11) and climate action (SDG 13). His research interests span transport policy, transportation science, and the application of advanced modeling techniques to address urban mobility challenges. Notable areas include EV infrastructure planning, bicycle network optimization, and cost-benefit analysis of transport projects. He supervises several PhD students in topics like electric freight transport, micromobility safety, and urban charging infrastructure. Rich has published extensively on transport policy, demand modeling, and sustainable mobility solutions. His work emphasizes interdisciplinary approaches to solving complex transport challenges, combining engineering, economics, and data science methodologies.

Anandamayee MajumdarView profile

Assistant Professor

• Spatial Processes
• Bayesian Computation
• Environmental Sustainability
• +7 more

Anandamayee Majumdar is an Assistant Professor in the Department of Mathematics at San Francisco State University (SFSU), part of the College of Science & Engineering. She holds a Ph.D. and M.S. in Statistics from the University of Connecticut and Michigan State University, respectively, and earlier degrees from the Indian Statistical Institute (I.S.I.). Her research focuses on spatial and spatio-temporal processes, Bayesian computation, and their applications in biology, health, environmental sustainability, ecology, economics, finance, and industry. She has developed robust statistical models for handling missing data, multivariate processes, and expert-informed modeling, particularly in contexts like tuna catch estimation during the pandemic and financial risk analysis. She is currently exploring expert-integrated spatio-temporal models and public health trends. Professional experience includes roles as Senior Statistician at the Inter-American Tropical Tuna Commission (2021–2023), Professorial positions at universities in Bangladesh and China, and visiting research at UC Davis. She serves as Associate Editor for Applied Stochastic Modeling in Business and Industry and reviews for journals like Computational Statistics and Data Analysis and Biostatistics . Majumdar has contributed to interdisciplinary collaborations, including soil property modeling in urban ecosystems, and has held leadership roles in academic committees, such as the Interdisciplinary M.S./Ph.D. programs at Arizona State University. She actively mentors students and seeks to involve undergraduates and graduates in research projects.

Heather UrryView profile

Professor

• Emotion Regulation
• Affective Neuroscience
• Psychophysiology
• +2 more

Heather L. Urry is a Professor of Psychology at Tufts University's School of Arts and Sciences. She earned her PhD in Clinical Psychology from the University of Arizona (2001) and completed postdoctoral training in affective neuroscience at the University of Wisconsin-Madison. Since 2005, she has directed the Emotion, Brain, & Behavior Laboratory (EBBL), focusing on how people experience, express, and regulate emotions using behavioral and psychophysiological methods. Her research examines emotion regulation dynamics, stress impacts on cognitive-motor performance, and individual differences in affective processing. Recent work explores time pressure effects on behavior, cognitive reappraisal efficacy, and large-scale replications in psychological science. She champions open science practices, including data sharing and study preregistration. Recent publications (2021-2025) demonstrate a strong focus on stress, emotion regulation techniques, and methodological rigor. Major themes include: cognitive reappraisal applications in exercise/stress contexts; anxiety reduction interventions; sociopolitical perceptions of discrimination; and pandemic-related mental health messaging. Cross-cultural collaborations feature prominently in her global health studies. Awards include the Outstanding Faculty Contribution to Graduate Education (2019). Grant support includes NIH funding for therapy dog intervention mechanisms and U.S. Army contracts for applied cognitive science (2017-2029). At Tufts, she teaches 30+ psychology courses including Doctoral Dissertation supervision and research methodology. As EBBL director, she oversees investigations into stress responses and emotion regulation, mentoring students in experimental protocols involving physiological measures.

Teng WuView profile

Professor

• Wind Engineering
• Hurricane Engineering
• Structural Engineering
• +8 more

Teng Wu is a Professor and Director of Graduate Studies in the Department of Civil, Structural and Environmental Engineering at the School of Engineering and Applied Sciences, University at Buffalo . His research focuses on wind engineering, hurricane risk assessment, and climate change adaptation in infrastructure systems. PhD, Civil Engineering, University of Notre Dame (2013) MS, Civil Engineering, University of Notre Dame (2012) MS, Bridge Engineering, Tongji University (2010) BS, Civil Engineering, Tongji University (2007) Minor, Financial Engineering, Fudan University (2006) Teng Wu's research spans multiple domains including Wind Engineering , Hurricane Engineering , Structural Engineering , and Climate Change Adaptation . He specializes in nonlinear aerodynamics, performance-based wind design, and computational fluid dynamics applications to infrastructure resilience. His recent publications focus on machine learning applications for storm surge prediction, wind-induced structural response analysis, and climate change-informed infrastructure recovery frameworks. Key methodologies include hierarchical deep neural networks, knowledge-enhanced models, and reinforcement learning-based control systems. Contact: tengwu@buffalo.edu | Office: 226 Ketter Hall, Buffalo, NY 14260

Esra Agca AktuncView profile

Senior Lecturer

• Optimization
• Simulation
• Data Analytics
• +5 more

Esra Agca Aktunc serves as a Senior Lecturer in the Department of Industrial and Systems Engineering at Rensselaer Polytechnic Institute (RPI), teaching core courses including Introduction to ISE, Production and Operations Management, Facilities Design, Operations Research Methods, and Engineering Data Analytics across undergraduate and graduate programs. Her educational qualifications include: Ph.D. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2013) M.Sc. in Industrial and Systems Engineering from Virginia Polytechnic Institute and State University (2011) B.Sc. in Industrial Engineering from Bilkent University (2008) Dr. Agca Aktunc's research integrates optimization, simulation, and data analytics across disaster management, healthcare systems, and energy systems . Her work addresses critical challenges including hospital evacuation logistics, pandemic impacts on energy infrastructure, and natural gas management under uncertainty, employing advanced analytical methods to solve resource-constrained real-world problems in dynamic environments. Publication analysis reveals a strategic research evolution: early work (2013-2019) focused on disaster response logistics and healthcare operations, while recent publications (2020-2025) demonstrate increased specialization in energy systems, particularly electricity and natural gas demand forecasting during crises like the COVID-19 pandemic. This progression highlights her adaptive application of operations research to emerging societal challenges. No scientific awards were mentioned in the provided text. Information regarding student advising and research grants was not included in the available materials, though her extensive teaching portfolio indicates significant educational contributions.

Muhammad R. HajjView profile

Professor

• Nonlinear Dynamics
• Fluid Mechanics
• Structural Dynamics
• +12 more

Muhammad R. Hajj is the George Meade Bond Professor, Chair of the Department of Civil, Environmental and Ocean Engineering, and Director of the Davidson Laboratory at Stevens Institute of Technology. With a distinguished career spanning over three decades, his expertise lies in nonlinear dynamics , fluid-structure interactions , and energy harvesting , applying these to ship hydrodynamics , biomimetic flight/underwater vehicles , and coastal resilience . He has mentored 32 PhD students and authored over 170 journal publications. Education PhD (1990), MS (1985), Civil Engineering , University of Texas at Austin BE (1983), Civil Engineering (with Distinction) , American University of Beirut Research Interests Dr. Hajj’s work bridges nonlinear dynamics and fluid mechanics to address challenges in structural/aeroelastic stability , bio-inspired design , and renewable energy systems . His fluid-structure interaction studies focus on ship hydrodynamics , transonic flutter , and storm surge prediction , while his energy harvesting research explores piezoelectric systems , self-powered sensors , and biomimetic energy conversion . Recent Trends in Publications His 2022-2021 publications emphasize coastal extreme weather resilience via AI-driven storm surge modeling , bio-inspired robotic fish for underwater energy harvesting , and nonlinear aeroelastic systems to enhance renewable energy extraction . Themes include high-efficiency piezoelectric designs , vortex-induced vibration control , and ultrasonic contactless power transfer , reflecting his commitment to integrating nonlinear dynamics with practical engineering applications . Scientific Honors Fellow, Engineering Mechanics Institute, ASCE Distinguished Civil Engineering Alumni (AUB, 2019) Dean’s Award for Excellence in Research (VT, 2016) Distinguished Leader in Research (VT, 2016) Excellence in Research Award (VT, 2015) Advising and Grants Dr. Hajj has supervised 32 PhD students , many of whom hold prestigious roles in academia and industry. He has secured major grants, including $1.8M from the Department of Energy for floating wave energy converters , $4.94M from the Port Authority for storm surge forecasting , and $200K from the NSF for bio-inspired telemetry energy harvesting .

• Environmental Hydraulics
• Sediment Transport
• Turbulence Modelling
• +6 more

Dr. Jaan Pu is an Associate Professor at the University of Bradford, UK, affiliated with the School of BEACI within the Faculty of Engineering & Digital Technologies. He holds visiting scientist roles at Tsinghua University and Nanyang Technological University. His research focuses on numerical and experimental approaches to water engineering challenges, including sediment transport, turbulence modeling, and flood dynamics. Dr. Pu serves as Associate Editor for Frontiers in Environmental Science and Frontiers in Built Environment , and editorial roles in other journals. His work integrates computational tools (e.g., Delft3D, MATLAB) with experimental techniques (ADV, PIV) to study flows in rivers, coastal areas, and urban environments. Research interests include turbulence structures around bridge piers, scour reduction mechanisms, and environmental hydraulics. Teaching areas cover Water Engineering, Fluid Dynamics, and Mechanics. His publications span 73 works addressing topics from coral reef protection to sedimentation in rainwater systems. Professional activities include editorial board memberships, conference organizing, and peer review for high-impact journals.

Frances O'DonnellView profile

Associate Professor

• Ecohydrology
• Water Resources
• Stormwater Management
• +4 more

Frances O'Donnell is an Associate Professor in the Department of Civil and Environmental Engineering at Auburn University, where she leads the Auburn Ecohydrology Lab. Her research focuses on ecohydrology, emphasizing vegetation-water cycle interactions, stormwater management, and ecosystem restoration with applications in geographically isolated wetlands and transportation infrastructure resilience. Education: Ph.D. in Civil and Environmental Engineering, Princeton University B.A. in Organismic and Evolutionary Biology, Harvard University Research Interests: Dr. O'Donnell investigates soil moisture dynamics and evapotranspiration processes to develop green infrastructure solutions for stormwater management. Her work integrates field measurements, hydrological modeling, and remote sensing to quantify ecosystem services of wetlands and improve climate resilience in water systems. Key projects examine forest restoration impacts on groundwater and sustainable practices for agricultural pollution mitigation. Publication Trends: Recent publications (2023-2025) reveal three dominant themes: landslide prediction along Alabama highways using soil moisture thresholds, sediment/nutrient dynamics in agricultural wetlands under climate change, and cost-optimization tools for green infrastructure. International collaborations in Haiti address drinking water accessibility, while Arizona watershed studies analyze forest management effects on water balance. Scientific Awards and Grants: NASA Research Grant for Geographically Isolated Wetlands USDA-NIFA Foundational and Applied Science Program Grant ($500,000) Advising and Collaborations: Dr. O'Donnell mentors graduate students through thesis research with real-world applications, including permeable pavement design tools and UAV-based water quality monitoring. She collaborates with NASA, USDA, and NOAA on federal projects, and her students publish in journals like Water Environment Research while securing positions at Virginia Tech and Geosyntec Consultants. Laboratory: The Auburn Ecohydrology Lab conducts field experiments in Alabama watersheds and Haiti, utilizing sensor networks, hydrological models, and drone technology to advance understanding of water-ecosystem interactions for sustainable infrastructure planning.

Susan (Shufen) PanView profile

Associate Professor

• Ecosystem Modeling
• Geospatial Analysis
• Remote Sensing
• +4 more

Dr. Susan (Shufen) Pan is an Associate Professor and Director of the GIS and Remote Sensing Laboratory at the School of Forestry and Wildlife Sciences, Auburn University . With over 20 years of expertise in ecosystem/geospatial modeling and remote sensing, her work focuses on monitoring, assessing, and predicting multi-scale dynamics of coupled natural-human systems under global environmental change. Research Areas: Land use/land cover changes, climate impacts and adaptation, food and water security, Big Data applications. Leadership: Leads the Geospatial and Environmental Informatics undergraduate program; core member of Auburn's Climate, Human and Earth System Sciences (CHESS) cluster. Teaching: Instructs courses on Earth observation, Big Data analysis, and ecosystem resilience as part of the NSF Research Traineeship (NRT) program.

Nikolina BanView profile

Assistant Professor

• Climate Modeling
• Mountain Climate
• Convection-Permitting Models
• +4 more

Dr. Nikolina Ban is an Assistant Professor at the Department of Atmospheric and Cryospheric Sciences (ACINN) at the University of Innsbruck, Austria. Her research focuses on high-resolution climate modeling, convection-permitting models, and mountain climate dynamics. She leads projects such as 'Mountain Climate at the Kilometre-Scale Resolution' and collaborates with international teams like TEAMx-UIBK and the CORDEX-FPSCONV-Team. Key areas include extreme rainfall projections, hail/lightning diagnostics, and the impact of climate change on Alpine regions. Expertise: Regional climate modeling, convection-permitting approaches, mountain climate variability. Key Projects: Third Pole climate simulations, Alpine hydrological studies, and national climate scenario development in Austria. Her work addresses challenges in resolving fine-scale climate processes over complex terrains. Recent studies emphasize improving projections of precipitation extremes and understanding model uncertainties. Collaborations span institutions globally, including the Swiss Federal Institute of Technology (ETH Zurich) and the University of California, Los Angeles (UCLA). Publications highlight advancements in ensemble-based climate simulations and the added value of kilometer-scale models for capturing temperature and wind patterns in alpine regions. Ongoing research includes evaluating dynamical downscaling techniques for reliable regional climate change assessments.

Rebecca DziedzicView profile

Assistant Professor

• Asset Management
• Water System Sustainability
• Infrastructure Resilience
• +5 more

Rebecca Dziedzic is an Assistant Professor in the Department of Building, Civil, and Environmental Engineering at Concordia University. Her research focuses on asset management, water system sustainability, and infrastructure resilience. She holds a PhD in Civil and Environmental Engineering from the University of Toronto. Dr. Dziedzic's work integrates machine learning, data science, and policy analysis to address challenges in urban infrastructure systems. Her research explores topics such as water distribution network optimization, climate change adaptation in infrastructure, and circular economy strategies for construction. Recent projects include predicting water main breaks using multivariate models, developing frameworks for energy-efficient pump operation, and assessing carbon footprints in industrial facilities. Dr. Dziedzic supervises graduate students in Civil Engineering (MASc/PhD) and maintains an active research group through the UrbanLinks initiative. Her work has been published in over 30 peer-reviewed articles, with a strong focus on smart city technologies, disaster risk reduction, and sustainable infrastructure design.

Volker GrimmView profile

Professor

• Ecological Modelling
• Agent-Based Modelling
• Pattern-Oriented Modelling
• +5 more

Prof. Volker Grimm is a Professor in the Department Ecological Modelling at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His research focuses on developing and applying ecological models to understand complex environmental systems, with a strong emphasis on individual-based and agent-based modelling approaches. Key areas include pattern-oriented modelling for predictive environmental decision-making, ecological theory exploration (e.g., resilience and stability), and model standardization through protocols like ODD. He leads projects such as VIBee (honeybee vitality monitoring) and BioDT (Biodiversity Digital Twin), leveraging AI and simulation models like BEEHAVE and FORMIND. Active in interdisciplinary initiatives like CauSES (causality in sustainability science), Grimm bridges ecological and social sciences. His work addresses global challenges like pesticide risk assessment, invasive species management, and climate change impacts on ecosystems. Notable achievements include the ODD protocol for model documentation, advancing ecological informatics, and contributions to EU projects such as CREAM (pesticide risk assessment) and BioDT (supercomputing for biodiversity). Collaborations span institutions like FORMIND and EcoEpi, with a focus on open-access publishing and model reusability.

Gloria CrispView profile

Professor

• Equity in Higher Education
• Community College Transfer
• Mentoring Frameworks
• +2 more

Dr. Gloria Crisp is a Professor of Adult and Higher Education at Oregon State University and currently serves as Associate Dean in the College of Education. With 25 years of experience in community colleges and bachelor’s granting institutions, her work focuses on equity in higher education , particularly for Latinx students and other minoritized populations. Research Focus : Transfer pathways, mentoring frameworks, and policies reducing educational inequities Key Contributions : Created the College Student Mentoring Scale (CSMS), used globally to assess mentoring effectiveness Awards : ASHE 2020 Mentoring Award Leadership : Former Editor-in-Chief of New Directions for Institutional Research , President of Council for the Study of Community Colleges (2022-23) Publications include over 60 articles in journals like American Educational Research Journal and Research in Higher Education , with citations exceeding 10,000. Her co-edited book Unlocking Opportunity through Broadly Accessible Institutions (2022) challenges deficit narratives about broad-access universities.

• Precision Agriculture
• Remote Sensing
• Soil Science
• +3 more

Dr. Patrick Filippi is a Lecturer in Precision Crop Management at the School of Life and Environmental Sciences, University of Sydney. He is affiliated with the Precision Agriculture Laboratory and the Sydney Institute of Agriculture. His work focuses on integrating remote sensing, machine learning, and geostatistics to address challenges in precision agriculture, particularly in crop yield modeling, soil mapping, and environmental monitoring. Research interests include precision agriculture technologies, soil science applications, data-driven crop management, and the use of satellite and proximal sensing for agricultural decision-making. He has contributed to projects funded by the Grains Research and Development Corporation (GRDC) and the University of Sydney, focusing on spatial variability in crop production, soil constraints, and machine learning interpretability. Key achievements include developing the LimeSoDa dataset for soil mapping and winning the 2016 CSIRO AgData Challenge Hackathon. His grants span topics like nitrogen fixation mapping in legumes and frost/heat management analytics. Filippi collaborates closely with industry to translate research into practical tools for farmers. Awards: 2nd Place CSIRO AgData Challenge Hackathon (2016) Labs: Precision Agriculture Laboratory (https://precision-agriculture.sydney.edu.au/) Grants: Includes Strategic Partnership Seeding Grants (2024), GRDC-funded projects (2022–2024), and Start-Up Research Funding (2024).