Find Academic Supervisors

Yeo Howe LimView profile

Professor

• Water Resources Engineering
• Hydrologic Modeling
• Open Channel Hydraulics
• +5 more

Dr. Yeo Howe Lim is a Professor and Department Chair of Civil Engineering at the University of North Dakota, with a focus on water resources engineering. He serves as Graduate Program Director for Civil and Environmental Engineering, teaching courses in fluid mechanics, hydrology, and applied hydraulics. Education: BEng & MEng from University of Canterbury, PhD from Memorial University of Newfoundland Research Areas: Open channel hydraulics, flood frequency analysis, streambank stabilization, urban stream revitalization, cold region hydrodynamics His research explores climate change impacts on flood patterns, hydrodynamic modeling of wetlands, and innovative use of Unmanned Surface Vehicles for aquatic studies. Recent publications emphasize lithium extraction technologies in oilfields, distributed Muskingum flood routing models, and optimization algorithms for cold climate water systems. Scientific awards include the Dean’s Outstanding Faculty Award (2013), ASCE Outstanding Reviewer recognition (2009), and the Institution of Civil Engineers (UK) Overseas Prize (2001). He has supervised numerous graduate students in hydrological modeling, including Mohammed Almousa and Vahid Atashi. Current projects involve HYCAT technology for bridge scour assessment, LiDAR bathymetry modeling, and climate change adaptation tools for cold region water management. His work bridges computational hydrology, hydraulic structure design, and sustainable water resource solutions.

Peter J. ClarkView profile

Lecturer

• Mergers & Acquisitions
• Corporate Finance
• Finance Valuation Methods
• +3 more

Peter J. Clark is a Lecturer (Education) at the University College London (UCL) School of Management. With over 20 years as a top-tier international management consultant, he transitioned to academia, specializing in merger and IPO-related finance. He is renowned for his diagnostic MScore system for merger success probabilities and his doctoral thesis work on valuation methods, now used in UCL courses. His research focuses on M&A valuation, corporate finance strategies, and post-merger integration. Clark holds a DBA from Henley Business School and an MBA from Cox School of Business, recognized with Beta Gamma Sigma honors. His career includes roles as a corporate financial officer and advisor to firms on merger strategies. He has received multiple accolades, including the FEI award and teaching excellence awards at UCL. His publications include seminal works like Masterminding the Deal (2013) and Cross-border M&A Integration (1988). Media engagements span Economist , Financial Times , and financial television networks. He maintains active presence on Twitter (@pondbridge) and LinkedIn.

Eric KimView profile

Assistant Professor

• Health Psychology
• Psychological Well-being
• Aging
• +4 more

Dr. Eric S. Kim is an Assistant Professor of Psychology at the University of British Columbia (UBC) and a Visiting Scientist with the Lee Kum Sheung Center for Health and Happiness (Harvard T.H. Chan School of Public Health) and the Human Flourishing Program (Harvard University’s Institute for Quantitative Social Science). With a Ph.D. from the University of Michigan (2015) and postdoctoral training at Harvard (2017), he focuses on psychological well-being and social connection’s role in reducing age-related chronic conditions. His work spans health psychology, social epidemiology, gerontology, and translational science. Education: B.A. (2009), Ph.D. (2015) from University of Michigan; Postdoctoral Fellowship at Harvard (2017) Dr. Kim’s research examines biobehavioral pathways linking psychological well-being to physical health through health behaviors , biological mechanisms , and stress-buffering . He leverages population-based cohort studies , causal inference methods , and machine learning to assess psychosocial factors via social media footprints. His work addresses social adversities like racial disparities , neighborhood cohesion , and economic shocks . His 15 most recent publications reveal trends in using longitudinal designs to study adolescent well-being’s long-term health impacts , epigenetic aging , and social cohesion interventions . Key journals include PNAS , JAMA Psychiatry , and Health Psychology , with media coverage in New York Times , BBC , and Washington Post . Scientific Awards MSFHR Scholar (2020) APA Division 20 Early Career Award (2020) AJE Article of the Year (2020) NIH K99/R00 (2018) Forbes 30 Under 30 in Healthcare (2016) IPPA Early Career Researcher Award Dr. Kim provides pro bono statistical consulting to nonprofits and collaborates with AARP , UnitedHealth Group , and Chan Zuckerberg Initiative . His lab at UBC, the Psychosocial Flourishing and Health Lab , trains graduate and undergraduate researchers in healthy aging and population-level interventions .

Charles GillanView profile

Senior Lecturer

• High Performance Computing (HPC)
• Artificial Intelligence (AI) in Healthcare
• Quantum Computing
• +4 more

Charles Gillan is a Senior Lecturer at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, affiliated with the High Performance and Distributed Computing department and the Institute of Electronics, Communications & Information Technology. His research bridges HPC systems, AI applications in healthcare, and computational physics. Key projects include managing ICU patient care via neural networks, exascale-ready mathematical packages, and edge computing architectures. Research interests focus on high-performance computing (HPC), quantum computing, real-time data analytics, and electron-molecule scattering simulations. Notable contributions include developing microserver architectures for edge analytics and advancing AI-driven clinical decision support systems. Gillan has collaborated on interdisciplinary projects like food authenticity testing using spectroscopy and improving ventilator management in intensive care units. Publications span AI in healthcare, HPC system design, and computational methods for physics problems. He has secured funding for initiatives such as the KTP partnership with Foods Connected Ltd and the HANDHELD olfactory detection project. Gillan's work emphasizes practical applications of advanced computing across healthcare, engineering, and cybersecurity domains.

George O. AragonView profile

Professor

• Financial Services Industry
• Risk Management
• Hedge Funds
• +4 more

George O. Aragon is a Professor of Finance at the W. P. Carey School of Business, Arizona State University. He specializes in the structure, efficiency, and risk management practices of financial services institutions, particularly hedge funds and mutual funds. His research has been published in leading journals such as the Journal of Financial Economics and the Review of Financial Studies , where he also serves as an associate editor. He has held visiting roles at the U.S. Securities and Exchange Commission and teaches courses on derivatives and risk management at both undergraduate and graduate levels. Education Ph.D. in Finance (Boston College, 2005) M.Sc. in Finance and Economics (London School of Economics, 1999) Research Interests Aragon’s work focuses on institutional investor behavior, liquidity management in volatile markets, and the interplay between regulatory frameworks and financial stability. His recent studies examine hedge fund strategies in crises, ESG investment dynamics, and the impact of investor attention on mutual fund performance. He employs empirical methods and machine learning to analyze large datasets, including SEC filings and market microstructure data. Teaching Regularly teaches FIN 427: Derivative Financial Securities and FIN 530: Derivatives . Courses emphasize practical applications of derivatives in risk management and portfolio optimization. Recent Research Trends His articles highlight themes such as liquidity mismatch in hedge funds, anticipatory trading during crises, and the costs/benefits of responsible investing for university endowments. The 2024 paper on ‘Hedge Fund Liquidity Management’ underscores the tension between crisis resilience and trading opportunities. The 2023 study on ESG preferences uses machine learning to decode investor priorities across 500+ metrics. Grants and Collaborations No specific grants are listed, but his editorial roles and SEC collaborations suggest active involvement in policy-relevant research. Lab/Team Affiliations No formal lab mentioned, but his SSRN and Google Scholar profiles indicate ongoing collaborations with industry and academic partners.

Arezoo HasankhaniView profile

Assistant Professor

• Control Engineering
• Optimization
• Renewable Energy Systems
• +5 more

Dr. Arezoo Hasankhani is an Assistant Professor at the University of New Hampshire (UNH) in the College of Engineering and Physical Sciences, affiliated with the Department of Electrical and Computer Engineering and the Ocean Engineering program. She leads the Energy Control and Optimization (ECO) Lab, focusing on marine renewable energy systems, control systems design, and optimization for sustainable ocean resource use. Prior to joining UNH in January 2024, she earned her Ph.D. in Electrical Engineering from Florida Atlantic University and completed a postdoctoral fellowship at Cornell University. Research Interests: Her work integrates control engineering, optimization, and machine learning (e.g., reinforcement learning) to address challenges in ocean energy systems, autonomous underwater vehicles, and marine spatial planning. Key areas include: Design and control co-optimization of marine current turbines Path planning for autonomous systems in uncertain ocean environments Multi-disciplinary approaches to enhance the 'blue economy' through sustainable ocean energy Integration of renewable energy systems into microgrids and power networks Teaching: She teaches graduate-level courses in control systems (ECE/ME 772/872) and ocean instrumentation (OE 610), alongside doctoral research supervision. Collaborations: Her interdisciplinary research bridges control systems, mechanical design, and ocean engineering, supported by close ties with UNH's Ocean Engineering program. Recent projects include wave-powered offshore aquaculture farm planning and reinforcement learning-driven path optimization for marine turbines. Labs/Teams: Leads the ECO Lab, fostering innovation in energy control systems and ocean technology. Collaborates with industry and academic partners on marine energy solutions.

Shaji A. KhanView profile

Associate Professor

• Cybersecurity Education
• Information Systems Management
• IT Outsourcing
• +5 more

Shaji A. Khan is an Associate Professor of Information Systems and Technology and Associate Dean of Undergraduate Programs at the University of Missouri-St. Louis (UMSL)'s College of Business Administration. He holds a Ph.D. in Business Administration from UMSL and has a background in Computer Science and Commerce. His research focuses on cybersecurity education, IT outsourcing, business process offshoring, and entrepreneurial innovation. Khan leads UMSL's Cybersecurity Institute and has developed interdisciplinary cybersecurity programs including graduate/undergraduate certificates and minors. He has secured over $294K in Department of Defense funding for cybersecurity labs. His teaching spans information security, data networks, systems administration, and programming. He has published extensively in top journals like Journal of Business Venturing and Journal of Strategic Information Systems . Notable awards include the Paul Gray Award for thought-provoking IT outsourcing research and multiple teaching accolades. Khan also serves as a media expert on cybersecurity matters and organizes STLCyberCon conferences attracting 700+ attendees annually. Professional service includes roles on the Graduate Studies Committee and leadership in international conferences like ICIS. His industry experience includes founding TechQED Inc. and leading a high school as principal/CTO earlier in his career. Technical expertise spans cybersecurity tools, cloud platforms, and programming languages.

Robert JacobView profile

Professor

• Human-Computer Interaction
• Brain-Computer Interfaces
• Implicit Interaction Techniques
• +3 more

Robert Jacob is a Professor of Computer Science at Tufts University's School of Engineering, where he leads research in human-computer interaction with particular focus on implicit brain-computer interfaces. His work bridges computer science, cognitive science, and interface design to create adaptive systems that respond to users' cognitive states without explicit input. His educational background includes a Ph.D. from Johns Hopkins University. Professional milestones include: ACM CHI Academy membership (2007) ACM Fellow designation (2016) Leadership roles as ACM SIGCHI Vice President and conference chair for CHI, UIST, and TEI Professor Jacob's research centers on implicit interaction techniques, particularly using fNIRS brain sensing to create adaptive interfaces. His work has evolved from foundational studies in reality-based interaction and tangible programming to current neuroadaptive systems that measure cognitive workload in real-time. This research spans domains including music learning, museum education, and general user interface adaptation. His publications reveal consistent focus on brain-computer interfaces since 2012, with increasing sophistication in physiological measurement and machine learning techniques. Recent work integrates multiple physiological signals beyond brain data to create comprehensive user state models. Major recognitions include: CHI 2016 Best Paper Award for music learning research CHI 2014 and 2012 Best Paper Honorable Mentions Keynote addresses at major conferences including Neuroadaptive Technology Conference (2017) Extensive media coverage in New Scientist, IEEE Computer, and Boston Globe Professor Jacob has mentored 17 PhD students who now hold faculty positions at institutions including Worcester Polytechnic Institute, Northwestern University, and Carleton University. His HCI Lab, located in the Joyce Cummings Center, receives funding from NSF and other sources supporting neuroadaptive interface research. Current projects focus on broadening implicit interaction to include multiple physiological measurements while maintaining user privacy and system transparency.

Latifur KhanView profile

Professor

• Data Mining
• Cybersecurity
• Machine Learning
• +2 more

Dr. Latifur Khan is a Professor in the Department of Computer Science at the University of Texas at Dallas' Erik Jonsson School of Engineering and Computer Science. He directs the Database and Data Mining Laboratory and conducts research in data mining, cybersecurity, and semantic web technologies. Research domains include: Large language models for threat detection Fairness in machine learning Vulnerability analysis in software systems Graph-based information retrieval Recent publications focus on AI security applications in transportation systems, political conflict analysis using NLP, and federated learning for IoT security. His work consistently bridges theoretical algorithms with practical cybersecurity implementations. Research grants include funding from NSF, NASA, Raytheon, Nokia, and SUN Microsystems. Teaching includes courses in Plant Breeding (PBG 450/550) and Breeding Clonal Crops (PBG 551).

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.

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.

• Nanoelectronic Circuit Design
• Neuromorphic Computing
• Hardware Security
• +4 more

Garrett Rose is a Professor and Department Head in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK). He holds a B.S. in Computer Engineering from Virginia Tech (2001), and M.S. and Ph.D. in Electrical Engineering from the University of Virginia (2003/2006). Prior to UTK, he served as Assistant Professor at NYU Polytechnic (2006–2011) and Senior Electronics Engineer at the Air Force Research Lab (2011–2014). His research focuses on nanoelectronic circuit design, neuromorphic computing, hardware security, and memristor-based systems. He leads the SENECA Research Group and the TENNLab initiative, exploring applications in neuromorphic architectures, hardware security primitives (e.g., PUF devices), and device modeling. Recent work emphasizes memristor-driven neuromorphic systems, secure FPGA designs, and in-memory computing. Grants include projects on neuromorphic target detection and nanotechnology-based security solutions. Rose actively mentors students and collaborates on co-design methodologies for real-world neuromorphic applications. Education: Ph.D. Electrical Engineering, University of Virginia, 2006 M.S. Electrical Engineering, University of Virginia, 2003 B.S. Computer Engineering, Virginia Tech, 2001 Research Interests: Dr. Rose’s work spans neuromorphic hardware design, including memristor-based neural networks and spiking systems. He investigates hardware security through nanoscale devices like memristors for PUFs and side-channel resistant circuits. His team develops novel memristor models and explores applications in reconfigurable computing and energy-efficient architectures. Recent efforts focus on neuromorphic vision systems, robotic navigation, and neuromorphic processors with co-design frameworks. Grants & Projects: "Ground-roaming autonomous neuromorphic targeter" (2020) "Secure Backup and Restore for IoT using Nanotechnology" (2020) "Physically Unclonable Reconfigurable Computing System (PURCS)" (2020)

Ayşegül AksoyView profile

Professor

• Environmental systems engineering
• Integrated waste management
• Water quality modeling and management
• +4 more

Prof. Ayşegül Aksoy is a faculty member in the Department of Environmental Engineering at Middle East Technical University (METU) since 2002. She holds a Ph.D. in Civil Engineering from the University of Virginia (2000) and has held visiting roles at Stanford University (2015-2016) and the University of California Davis (2001). Her academic leadership includes Vice Chair roles in METU's Environmental Engineering Department (2012-2015 and 2006-2009), and she co-developed UN courses on Black Sea environmental management. Her research focuses on environmental systems engineering, integrated waste management, water quality modeling, and remote sensing applications. Notable projects include developing autonomous systems for lake turnover monitoring, optimizing landfill leachate management, and evaluating solar sludge drying alternatives. She has directed over 20 graduate theses and contributed to research funded by TÜBİTAK, Newton Fund, and EU programs. Key awards include the AQUA 360 Best Paper Award (2021) and TÜBİTAK Fellowships. Her work spans 120+ peer-reviewed publications, with recent focus areas including anaerobic digestion optimization, GIS-based waste routing, and pollutant fate modeling in heterogeneous aquifers. She advises on national environmental policies and manages projects like the 'Turnover Response System Development' (2020-2023) and 'Chlorophyll-a Modeling in Lake Eymir' (2009-2010).

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.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +4 more

Prof Noel O'Connor is a Full Professor at Dublin City University's School of Electronic Engineering, specializing in cutting-edge research at the intersection of artificial intelligence (AI), medical imaging, robotics, and smart city technologies. His work spans applications such as cardiac MRI reconstruction, robotic manipulation using reinforcement learning, and the development of the Smart DCU Digital Twin for autism-friendly university environments. Research interests include AI-driven medical diagnostics, multimodal data fusion, and adaptive systems. His contributions to cardiac MRI reconstruction and transformer-based medical imaging analysis reflect a strong focus on healthcare innovation. He also explores ethical AI practices to reduce social bias in foundation models. Recent work emphasizes smart infrastructure projects, such as optimizing parking recommendations for electric vehicles and enhancing accessibility through digital twin frameworks. His research often integrates real-time sensor data and multi-agent systems to address complex urban challenges. No scientific awards are listed. Collaborations include the ASU-DCU International Research Program on Sensors and Machine Learning. Advising details and grant information are not explicitly provided.