Find Academic Supervisors

• Graph Theory
• Graph Databases
• Knowledge Graphs
• +5 more

Carlos R. Rivero is an Associate Professor in the Department of Computer Science at the Rochester Institute of Technology (RIT), located within the Golisano College of Computing and Information Sciences. His primary research focuses on graph theory applications in knowledge graphs, graph databases, and computer-aided program comprehension. He holds a PhD from the University of Seville (Spain), completed in 2012, with postdoctoral work at the University of Idaho (USA). His teaching responsibilities include courses such as Principles of Data Management, Data Mining, and Big Data exploration. Rivero has advised numerous PhD and Master’s students, contributing to research projects in link prediction, knowledge graph completion, and educational technology. He actively serves on program committees for conferences like The Web Conference and SIGKDD, and has reviewed for journals including the VLDB Journal and Communications of the ACM. His research emphasizes evaluating knowledge graph embeddings, improving link prediction methodologies, and developing tools for educational feedback in programming. He has contributed to projects like AYNEXT, which streamlines link prediction evaluation, and CAFE, a neighborhood-aware knowledge graph completion tool. Rivero’s work bridges theoretical advancements with practical applications in education and industry. Notable contributions include frameworks for automated feedback in programming courses and methodologies for assessing inference patterns in knowledge graphs. His grants and service roles reflect a commitment to advancing computational methods and fostering academic collaboration in data science and education.

Cam Ha TranView profile

Assistant Professor

• Neuroscience
• Cardiovascular Physiology
• Neurovascular Coupling
• +4 more

Cam Ha Tran is an Assistant Professor in the Department of Physiology and Cell Biology at the University of Nevada, Reno, affiliated with the Institute of Neuroscience. Her research focuses on neurovascular unit interactions, particularly how blood flow regulation impacts brain function under health and disease conditions such as stroke and dementia. She employs advanced techniques like two-photon imaging, optogenetics, and electrophysiology to study astrocyte-endothelial communication and vascular reactivity. Education: PhD in Cardiovascular and Respiratory Sciences from the Cumming School of Medicine, University of Calgary (Canada); Master of Biomedical Technology and Bachelor of Science from the University of Alberta (Canada). Research emphasizes understanding how astrocytes and endothelial cells coordinate to maintain cerebral blood flow, with implications for neurological disorders. Her recent work explores TRPA1 channels in neurovascular coupling, astrocyte dysfunction in Alzheimer’s, and seizure-induced vascular changes. Techniques include in vivo imaging and chemogenetic approaches to dissect cellular mechanisms. Key contributions include uncovering astrocyte roles in functional hyperemia and identifying therapeutic targets for cerebrovascular diseases. Her lab’s findings bridge basic science and clinical applications, aiming to improve diagnostics and treatments for stroke and neurodegenerative conditions.

• Environmental Engineering and Science
• Energy-Water-Environment Sustainability
• Electrochemical Water Treatment
• +3 more

R. D. Cusick is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Illinois at Urbana-Champaign. He earned his B.S. from the University of California, Riverside (2005), and his M.S. and Ph.D. from Pennsylvania State University (2010 and 2013). His research focuses on advancing sustainable water treatment technologies by integrating electrochemical processes with energy systems and nutrient recovery from wastewater. Dr. Cusick also serves on multiple professional committees, including the Demographics Committee of the Association of Environmental Engineering and Science Professors. Education: Ph.D. Environmental Engineering, Pennsylvania State University, 2013 M.S. Environmental Engineering, Pennsylvania State University, 2010 B.S. Environmental Engineering, University of California, Riverside, 2005 Research Interests: Electrochemical water treatment, nutrient recovery from wastewater, process modeling, and energy-water-environment sustainability. His work emphasizes developing technologies to recover nutrients (e.g., phosphorus) and energy from wastewater while reducing environmental impacts. Professional Activities: Member of the American Chemical Society, Electrochemical Society, Water Environment Federation, and the International Working Group for Capacitive Deionization. He chairs the Energy-Water-Environment Sustainability Program and serves on several departmental and national committees. Awards: W. Wesley Eckenfelder Graduate Research Award (2013) Penn State Alumni Association Dissertation Award (2013) Dow Sustainability Student Challenge Award (2012) Grants & Consulting: Active consulting roles with companies like Island Water Technology and Aquapod. His research is supported by grants from NSF, DOE, and the Bill & Melinda Gates Foundation. Labs & Teams: Leads the Cusick Lab, focusing on electrochemical technologies and nutrient recovery. Collaborates with industry partners to advance scalable solutions for water infrastructure challenges.

Stefan KlusView profile

Lecturer

• Data-driven model reduction
• Transfer operator approximation
• Machine learning
• +8 more

Dr. Stefan Klus is a Lecturer at the School of Mathematics and Physics, University of Surrey. His research focuses on data-driven model reduction, transfer operator approximation, and kernel-based machine learning applied to dynamical systems. He specializes in interdisciplinary applications across quantum physics, fluid dynamics, and computational biology. Education: PhD in Industrial Mathematics (2011, Paderborn University) and Habilitation (2020, Freie Universität Berlin). Research Interests : Data-driven modeling and reduced-order methods Koopman operator theory and transfer operators Machine learning for dynamical systems (e.g., Deeptime library) Tensor decompositions and quantum systems analysis Graph-based analysis (e.g., microbiome dynamics) Publications : Klus has contributed to over 50 peer-reviewed articles, with recent work emphasizing: Kernel methods for quantum chemistry and physics Tensor-based approaches for high-dimensional systems Applications in climate science (e.g., Pacific SST modeling) Agent-based modeling and social systems Technical Contributions : Co-developer of the Deeptime Python library for dynamical modeling Pioneer in Koopman operator-based model reduction Advanced graph kernel methods for microbiome analysis

• High-Speed Aerodynamics
• Supersonic Flows
• Hypersonic Flows
• +2 more

Dr. Paul Bruce is a Reader in High-Speed Aerodynamics at Imperial College London's Department of Aeronautics. He directs experimental research utilizing supersonic and hypersonic wind tunnels to study shock wave interactions and atmospheric re-entry vehicle design. Research spans high-speed boundary layer transitions, aeroelastic stability of deployable structures, and optimization of atmospheric entry systems. Work integrates computational modeling with experimental validation. Publications consistently address flow control mechanisms, experimental techniques for high-speed testing, and aerodynamic design innovations for space exploration. Teaches undergraduate courses in aircraft aerodynamics and aerothermodynamics. Research involves collaborations with space agencies and utilizes Imperial College's advanced wind tunnel facilities.

Jennifer DunnView profile

Professor

• Sustainable Engineering
• Environmental Science
• Chemical Engineering
• +5 more

Jennifer Dunn is a Professor of Chemical and Biological Engineering at Northwestern University, with a courtesy appointment in Mechanical Engineering. She serves as Director of the Center for Engineering Sustainability and Resilience and Associate Director of the Northwestern-Argonne Institute of Science and Engineering. Her research focuses on sustainability, energy systems, and environmental impacts of emerging technologies such as hydrogen, biofuels, and nutrient recovery. Dunn leads the Systems Analysis Research Group, applying techno-economic, life-cycle, and materials flow analyses to evaluate low-carbon technologies and circular economy strategies. Education includes a Ph.D. in Chemical Engineering from the University of Michigan, an M.S.E. in Sustainable Chemical Engineering Systems from the University of Michigan, and a B.S. in Chemical Engineering from Purdue University. Her research interests span sustainable mineral supply chains, water treatment innovations, and decarbonization pathways. Recent work emphasizes methane reduction strategies, critical mineral policy, and circular nitrogen economies. Dunn has contributed to National Academies committees and serves as an Associate Editor for the SAE International Journal of Sustainable Transportation. Labs/Teams: Dunn Lab, Center for Engineering Sustainability and Resilience, and the Northwestern-Argonne Institute of Science and Engineering.

Tihana BicanicView profile

Professor

• Invasive Fungal Infections
• Antifungal Resistance
• Cryptococcal Meningitis
• +2 more

Tihana Bicanic is Professor of Infectious Diseases and Mycology at St George's University of London, holding honorary appointments at the MRC Centre for Medical Mycology (University of Exeter) and serving as Director of the Infection Clinical Academic Group. Her clinical and translational research focuses on invasive fungal infections, particularly cryptococcal meningitis in HIV patients and ICU-acquired candidiasis/aspergillosis. She leads the CandiRes study on Candida resistance evolution and previously directed the AspiFlu project on influenza/COVID-associated aspergillosis. Key research domains: Cryptococcal meningitis pathogenesis and treatment optimization Antifungal resistance mechanisms and prevention strategies Genomic epidemiology of fungal pathogens Immunotherapy for fungal infections Her group's publications demonstrate consistent focus on clinical mycology, antimicrobial resistance, and immunopathology. Recent work emphasizes diagnostic innovation, therapeutic optimization, and translational approaches for critical care mycoses. Awards and recognition include: Fellowship in the European Confederation of Medical Mycology (FECMM) Member of Wellcome Trust's Pathogen Biology and Disease Transmission Discovery Advisory Group Research team includes laboratory technicians and clinical research fellows investigating fungal pathogenesis and treatment strategies across multiple UK ICUs.

Amritanshu PandeyView profile

Assistant Professor

• Grid Simulation and Optimization
• Grid Cybersecurity
• Modeling of Future Energy Systems
• +3 more

Amritanshu Pandey is an Assistant Professor in Electrical Engineering at the University of Vermont, with a part-time adjunct appointment in Electrical and Computer Engineering at Carnegie Mellon University. His research focuses on enhancing the efficiency, reliability, and security of electric grids through methods in circuit theory, optimization, and machine learning. He pioneered the SUGAR simulation engine for power systems and collaborates globally on grid challenges. Research Interests: Pandey's work spans renewable integration, grid cybersecurity, digital twins, and decarbonization. Key projects include developing algorithms for large-scale grid optimization, anomaly detection, electric vehicle infrastructure modeling, and cyber-resilient energy systems. His research addresses real-world challenges in rapidly evolving grids across Asia and Africa. Awards: Best Paper Award, IEEE PES General Meeting (2017, 2021) Best-of-the-Best Paper Award, IEEE PES General Meeting (2021) Best Student Paper Runner-up, ECML-PKDD (2018) Students & Labs: He advises 7 PhD students and has graduated 11 advisees (PhD/MS/BS). His lab focuses on power systems innovation, including the SUGAR simulation framework and projects on grid cybersecurity and sustainable electrification.

• Biomedical Engineering
• Computational Fluid Dynamics
• Fluid-Structure Interaction
• +5 more

Dr. Xinying Liu is a Researcher at the University of Sydney's School of Chemical and Biomolecular Engineering, specializing in Computational Fluid Dynamics (CFD), Fluid-Structure Interaction (FSI), and biomedical engineering applications. She is a member of the University of Sydney Nano Institute and holds a PhD (2023) and bachelor's degree (2017) from the same institution. Education: Bachelor's Degree: The University of Sydney (2017) PhD in Chemical and Biomolecular Engineering: The University of Sydney (2023) Research Focus: Dr. Liu's work addresses biomedical challenges through advanced modeling techniques, including cardiovascular hydrodynamics, gastric flow systems, and bioinspired polymeric heart valve design. She bridges engineering and medicine to develop personalized healthcare solutions and non-thermal plasma technologies for PFAS remediation. Her projects emphasize multiphysics simulation and interdisciplinary collaboration. Current Projects: Polymeric heart valve replacements with growth capability Non-Thermal Plasma applications for PFAS remediation Advising & Collaborations: Dr. Liu advises Parham VATANKHAH on flow dynamics in human aortas. Her collaborations span computational modeling, experimental validation, and industry partnerships for healthcare innovation. Labs & Affiliations: Member of the University of Sydney Nano Institute, actively contributing to bioengineering and materials science research.

Mehdi AsheghiView profile

Adjunct Professor

• Thermal Engineering
• Electronics Cooling
• Heat Transfer
• +3 more

Mehdi Asheghi is an Adjunct Professor at Stanford University specializing in advanced thermal management solutions. His research focuses on heat transfer optimization, electronics cooling, and energy-efficient systems using cutting-edge materials science and micro/nanofabrication techniques. His work spans high-heat-flux cooling, phase-change materials, and thermal interface technologies, with applications in power electronics, integrated circuits, and sustainable energy systems. Innovations include microchannel coolers, copper nanowire composites, and porous thermal structures. With publications addressing thermal challenges from chip-scale to industrial systems, his research advances reliability and performance in electronic devices and energy infrastructure.

Xiaolei GuoView profile

Professor

• Transportation
• Supply Chain Management
• Congestion Pricing
• +3 more

Xiaolei Guo is a Professor of Management Science at the Odette School of Business, University of Windsor. His expertise spans transportation systems, supply chain optimization, and infrastructure pricing strategies. He holds a Ph.D. in Transportation from the Hong Kong University of Science and Technology (2008) and a B.A. in Hydraulic Engineering from Tsinghua University (2004). His research focuses on congestion pricing mechanisms, transportation network modeling, and toll road economics. Notable areas include optimizing toll designs under uncertainty, analyzing autonomous vehicle impacts on ridesharing, and evaluating strategic distribution channel decisions under environmental regulations. Dr. Guo has contributed to over 30 peer-reviewed articles since 2005, exploring topics such as Braess paradox under bounded rationality, Pareto-improving congestion schemes, and profit maximization for private toll roads. His work bridges theoretical optimization with practical policy applications. He is an active member of the Canadian Transportation Research Forum (CTRF) since 2011 and the Institute for Operations Research and the Management Sciences (INFORMS) since 2009.

Anita GohdesView profile

Professor

• International Security
• Cyber Security
• Political Science
• +3 more

Prof. Anita Gohdes is a Professor of International and Cyber Security at the Hertie School in Berlin, funded by NXP Semiconductors Germany and supported by Stifterverband. Her research focuses on cyberpolitics, state violence dynamics, and large-scale quantitative analyses of state actions. Previously, she held an Assistant Professorship in International Relations at the University of Zurich and a postdoctoral fellowship at Harvard Kennedy School’s Belfer Center. Since 2009, she has collaborated with the Human Rights Data Analysis Group (HRDAG). She advises international organizations like the German Federal Foreign Office, World Bank, and UN on state fragility and security. Her book Repression in the Digital Age (Oxford UP) examines surveillance and censorship in modern authoritarianism. She leads research at the Centre for International Security, exploring intersections of technology and global security. Awards include the German Dissertation Prize in Social Sciences (Körber Foundation) and the Walter Isard Prize (Peace Science Society) for her Mannheim University doctoral work. Her recent research spans AI governance, civil resistance in digital contexts, and pandemic-era polarization. She has published in top journals like the American Journal of Political Science and Nature Human Behavior .

Colin BritcherView profile

Professor

• Aerodynamics
• Wind Tunnel Design
• Experimental Aerodynamics
• +5 more

Colin Britcher is a Professor in the Department of Mechanical & Aerospace Engineering at Old Dominion University (ODU), affiliated with NASA Langley and the National Institute of Aerospace. He has held roles including Deputy Director for Education at AIAA Region I and led the Center for Experimental Aeronautics. His research focuses on wind tunnel test techniques, magnetic suspension systems, and experimental aerodynamics, with applications to planetary entry capsules and drone stability. Education: Ph.D. in Aeronautics and Astronautics, Southampton University (1983) B.S. in Aeronautical Engineering, University of Southampton (1978) Research Interests: Wind tunnel design and dynamic stability testing Magnetic suspension systems for aerodynamic measurements Unmanned aerial vehicles (UAVs) and propeller aerodynamics Boundary layer effects and flowfield analysis His recent work includes developing wind tunnel techniques for multi-rotor drones and planetary entry vehicles, as well as textbook authorship on wind tunnel design. Grants & Awards: $1.04M Virginia Institute for Performance Engineering grant (2023) Leadership in $355K NIA Director of Graduate Programs role (2014–2017) 2004 NASA Honorary Superior Accomplishment Award 1995 NASA Turning Goals into Reality (TIGR) Award Labs & Collaborations: Collaborates with NASA Langley on magnetic suspension systems Developed the NASA/ODU 6-inch Magnetic Suspension and Balance System (MSBS)

Stuart Bruce DalzielView profile

Professor

• Fluid Mechanics
• Environmental Fluid Dynamics
• Geophysical Fluid Dynamics
• +6 more

Professor Stuart Bruce Dalziel is a Professor of Fluid Mechanics at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, where he has held academic roles since 2001. He leads the GK Batchelor Laboratory, a world-leading facility for experimental fluid dynamics. His research focuses on geophysical, environmental, and industrial fluid mechanics, employing theoretical, numerical, and experimental methods. Key areas include internal gravity waves, granular flows, turbulence, and building ventilation. Recent projects involve buoyant plumes, reactive flows, and applications like decontamination and hydrogen gas pipeline management. He is actively involved in supervising PhD students and has earmarked funding for projects on skipping stone dynamics and hydrogen gas purging in pipelines. Education and Career: Professor of Fluid Mechanics (2016–present) Reader in Fluid Mechanics (2012–2016) University Senior Lecturer (2001–2012) Director of the GK Batchelor Laboratory (1997–present) Research Interests: Dalziel’s work bridges experimental, numerical, and theoretical approaches to address challenges in fluid mechanics. Recent projects include studying stratified turbulence, Rayleigh-Taylor instabilities, and fluid dynamics in rotating systems. His applied research extends to environmental engineering, such as improving building ventilation systems and mitigating airborne disease transmission. Advising and Grants: He mentors PhD students from diverse backgrounds (mathematics, engineering, physics) and oversees funded projects combining experimental and computational methods. Current opportunities focus on novel fluid dynamics problems with practical applications. Labs and Facilities: The GK Batchelor Laboratory, under his leadership, develops advanced diagnostics and software for fluid dynamics research, widely adopted in the scientific community.

Sabine C. CareyView profile

Professor

• Violent Conflict Analysis
• Human Rights Violations
• Political Repression
• +3 more

Sabine C. Carey is a Professor at the School of Social Sciences, University of Mannheim, leading the Chair of Political Science, International Relations. Her research emphasizes empirical analysis of violent conflict, human rights violations, terrorism, and counterinsurgencies, focusing on actors like pro-government militias and governance-repression links. Her teaching includes courses on international relations and political violence for BA, MA, and PhD students. Former students, such as Rosa Aloisi (Trinity University) and Katrin Paula (Technical University of Munich), have pursued prestigious academic and professional careers, with some receiving awards like the Deutscher Studienpreis. Key Research Areas: Violent conflict, human rights, media freedom in conflict zones, pro-government militia dynamics. Recent Article Trends: Explored media's role in postwar societies, state violence escalation, militia impacts on postwar repression, and global human rights perceptions. She will present at University College London (April 2025) and the Mannheim Model United Nations Conference (April 2025). Contact: sabine.carey@uni-mannheim.de