Find Academic Supervisors

Shabnam Sadeghi EsfahlaniView profile

Associate Professor

• Robotics
• Mechatronics
• Artificial Intelligence
• +3 more

Dr. Shabnam Sadeghi Esfahlani is an Associate Professor in Robotics at the School of Engineering and the Built Environment, Anglia Ruskin University , where she serves as Deputy Leader of the BORI research group and leads the Automation & Robotics MSc program. Her interdisciplinary expertise spans mechatronics, artificial intelligence, virtual reality, and serious games , with a focus on applications for rehabilitation, medical training, and autonomous systems . As a Chartered Engineer and Senior Fellow of the Higher Education Academy , she has secured significant funding from Innovate UK, Horizon 2020, and GCRF , with grants exceeding £3 million. Education PhD in Mechanical Engineering, Anglia Ruskin University BSc (First Class) in Statistics & Mathematical Science, Shahid Beheshty University Her research integrates AI with robotics for societal impact, exemplified by the open-source SROBO ground robot and projects like Rehabgame and the Assistive Feeding Robot . She has published over 45 peer-reviewed articles and contributes to academic communities as a journal guest editor and conference organizer . Key collaborations include IET, IMechE, and the Nuffield Foundation as a mentor for young students. Scientific Awards & Recognitions: Chartered Engineer (CEng), Engineering Council UK Senior Fellow (SFHEA), Higher Education Academy Student-Voted 'Made a Difference Award' (2018) Post-Graduate Certificate in Higher Education

• Serious Games
• 3D Visualization
• Medical Education Technology
• +4 more

Daniel Livingstone is a researcher at The Glasgow School of Art (GSA) specializing in the application of games and 3D technologies to enhance learning and public engagement. His work spans medical visualization, heritage interpretation, and broader educational technology domains. Current PGR supervisee: Shaojie Ni (AR & Gamification in Museums) Email: D.Livingstone@gsa.ac.uk Research Themes : Serious games, virtual reality, 3D anatomical modeling, disease education, digital heritage preservation, and AI-driven simulations. Highlights include AR tools for rheumatology engagement, VR applications in diabetes management, and digital reconstructions of historical surgical instruments. Article Trends : Focus on merging immersive technologies with healthcare education, heritage storytelling, and interdisciplinary applications of game engines. Recurring keywords: Augmented Reality , 3D Visualization , Medical Education , Public Health , Virtual Environments .

• Immunology
• T-cell Biology
• Proteomics
• +6 more

Edward Jenkins is a Postdoctoral Researcher at the University of Oxford, affiliated with Balliol College. He is a member of the Davis Group, focusing on T-cell Biology and its intersections with proteomics, immunology, and cell signaling. His research spans diverse areas such as: T-cell activation mechanisms and membrane dynamics Vaccine adjuvant responses in lymph nodes CAR-T cell engineering for therapeutic specificity Proximity proteomics in inflammatory pathways Computational methods for 3D cell segmentation Recent publications highlight his work in immune receptor signaling, deubiquitinase substrate discovery, and nanoscale imaging of T-cell interactions. His studies often bridge molecular and cellular immunology with advanced imaging and computational tools, aiming to enhance cancer immunotherapy and vaccine design. Edward contributes to collaborative research within the Davis Group, utilizing techniques such as localisation microscopy and free-standing membrane platforms to investigate immune cell dynamics.

Hermann M. FritzView profile

Professor

• Tsunamis
• Coastal hazards
• Hurricane storm surges
• +7 more

Hermann M. Fritz is a full Professor at the Georgia Institute of Technology within the College of Engineering's School of Civil and Environmental Engineering. With expertise spanning tsunamis, coastal hazards, hurricane storm surges, landslides, and submarine volcanic eruptions, his research focuses on the fluid dynamics aspects of these natural hazards and their mitigation strategies. Dr. Fritz earned his Doctorate degree (Dr. sc. ETH Zurich) in 2002 from the Swiss Federal Institute of Technology in Zurich. His extensive field experience includes leading or participating in more than a dozen post-disaster reconnaissance campaigns across multiple continents, documenting tsunami events from the 2004 Indian Ocean tsunami through the 2017 Greenland event, and hurricane surveys from Hurricane Katrina (2005) to Hurricane Nate (2017). His research integrates physical modeling with field observations, with recent work focusing on tsunamis generated by submarine volcanic eruptions, as evidenced by his development of a unique volcanic tsunami generator for large-scale wave basin experiments. His publication record shows consistent high-impact research in natural hazard science, with a particular emphasis on understanding wave generation mechanisms, coastal inundation patterns, and sediment transport processes during extreme events. Among his notable recognitions is the Plinius Medal from the European Geosciences Union (2014), highlighting his significant contributions to natural hazard research. His work bridges fundamental fluid dynamics with practical applications for coastal protection and disaster risk reduction. Plinius Medal, EGU (European Geosciences Union) - 2014 Dr. Fritz has mentored numerous students through his research projects, though specific names aren't provided in the available information. His collaborative approach is evident through his extensive co-authorship network spanning multiple institutions worldwide. Current research directions include advanced physical modeling of tsunami generation mechanisms, particularly those related to volcanic activity and landslides, as well as improving coastal resilience against extreme events. His laboratory work at Georgia Tech involves sophisticated experimental setups including large three-dimensional wave basins and specialized generators for simulating complex natural phenomena under controlled conditions. This experimental approach complements his extensive field survey experience, creating a powerful research methodology that connects theoretical understanding with real-world observations.

• Image Processing
• Video Compression
• Computer Vision
• +4 more

Fengqing Maggie Zhu is an Associate Professor at the Elmore Family School of Electrical and Computer Engineering within Purdue University , West Lafayette campus. Her research spans image processing , video compression , computer vision , and smart health , with notable contributions to learned image compression , 3D reconstruction , and nutrition analysis via computer vision . Educational background: BS in Electrical Engineering, Purdue University (2004) MS in Electrical and Computer Engineering, Purdue University (2006) PhD in Electrical and Computer Engineering, Purdue University (2011) Her work focuses on developing machine learning-based compression techniques for 2D/3D images and videos, with applications in food portion estimation , wearable dietary monitoring , and virtual reality facial expression tracking . She explores structured pruning , mixed precision quantization , and continual learning to create efficient, robust systems for edge-cloud collaboration. The 2025-2024 article collection reveals concentrated efforts in learned image compression (with 8 papers on quantization, pruning, hierarchical VAEs), food-related computer vision (12+ papers on portion estimation, databases, classification), and 3D reconstruction (MetaFood3D dataset, ICP-3DGS algorithm). Emerging themes include privacy-preserving AI for wearable cameras and class-incremental learning frameworks. Contact: zhu0@purdue.edu

Danny KaplanView profile

Associate Professor

• Cultural Sociology
• Political Sociology
• Gender Studies
• +7 more

Prof. Danny Kaplan is an Associate Professor in the Department of Sociology and Anthropology at Bar-Ilan University, Israel, and co-directs the Bar-Ilan Center for Cultural Sociology. His research bridges political sociology , gender studies , and digital culture , focusing on how friendship and public intimacy inform national solidarity . A leading scholar in masculinity ideologies and cultural models of fathering , he has held visiting positions at Columbia University and Yale University’s Center for Cultural Sociology. His research on social club sociability (e.g., Freemasonry, military rituals, reality TV) reveals how institutions transform strangers into symbolic friends, fostering collective loyalty. Recent work explores digital media (e.g., Facebook, Twitter) as platforms for mediated relationships and mass solidarity . Kaplan’s empirical studies in consumer masculinity and male body ideologies have been supported by an ISF grant , yielding tools like the Consumer Masculinity Inventory (CMI) and New Masculinity Inventory (NMI). Scientific awards include: ISF grant for research on involved fatherhood His articles span topics from nationalism as homosocial bonding to digital intimacy , with methodological emphasis on ethnography , media analysis , and quantitative models . As director of the Men’s Studies track in Bar-Ilan’s Gender Studies program, he mentors future scholars in gender dynamics and social movements .

Catherine BadgleyView profile

Professor

• Paleoecology
• Biogeography
• Sustainable Agriculture
• +4 more

Catherine Badgley is a Professor in the Department of Ecology and Evolutionary Biology at the University of Michigan. She serves as a Research Scientist at the Museum of Paleontology and the Residential College, with a career spanning over four decades since joining as a Michigan Fellow in 1982. Her work bridges paleoecology, biogeography, and sustainable agriculture, focusing on biodiversity responses to global change across deep time scales. Ph.D. in Geology from Yale (1982) MFS from Yale School of Forestry and Environmental Studies (1974) B.A. in Geology from Radcliffe College (Harvard) Her research integrates four major themes: Paleoecology: Quantitative analysis of fossil assemblages, taphonomy, and Cenozoic mammal community dynamics Climate Change: Using mammal databases to link modern ecological patterns with paleoclimatic inference Spatiotemporal Biodiversity: Tracking mammal-plant co-evolution since the Last Glacial Maximum using isotopic and morphological proxies Agricultural Sustainability: Pioneering studies demonstrating organic agriculture's capacity to meet global food demands Recent publications reveal trends combining 4D geodynamic modeling , C3/C4 vegetation transitions , and functional morphology across Neogene records in Pakistan, Spain, and North America. Her fieldwork spans the Siwalik sequence, Mojave Desert, and Great Basin regions. She leads the NSF-funded NARLEE (North American Rodent Landscapes Evolution & Ecology) Research Coordination Network and teaches courses like EEB 318/319 on Food Systems and EEB 445 Biogeography, featuring immersive fieldwork and interdisciplinary analysis of agricultural impacts on biodiversity.

Philipp KoehnView profile

Professor

• Machine Translation
• Natural Language Processing
• Artificial Intelligence
• +2 more

Philipp Koehn is a Professor in the Department of Computer Science at Johns Hopkins University, with additional affiliation at the University of Edinburgh. His primary research focuses on statistical and neural machine translation, specifically developing methods to leverage large-scale digital information for cross-lingual communication. He leads the Machine Translation Research Group and maintains key resources like the Moses toolkit and Europarl corpus. His research interests span: Core machine translation techniques (statistical/neural approaches) Low-resource and unsupervised translation methods Cross-lingual representation learning Speech-to-speech translation systems Large-scale parallel data mining and alignment Evaluation methodologies for generated text Koehn's recent publications demonstrate strong focus on improving translation efficiency (dynamic compression, streaming models), robustness (noise handling, error correction), and accessibility (low-resource languages, radio speech processing). Key trends include multilingual generalization, document-level coherence, and human-centered evaluation. Significant scientific recognition includes: ACL Fellow (2024) IAMT Award of Honor (2015) European Inventor Award Finalist (2013) He currently advises PhD students Rachel Wicks, Elina Baral, Bismarck Odoom, and Weiting Tan. His Machine Translation Group develops widely-used open-source tools and organizes major conferences including WMT and MT Marathon.

• Ion Channels
• Membrane Transporters
• Structural Biology
• +4 more

Alessio Accardi, Ph.D., is a Professor of Physiology and Biophysics in Anesthesiology at Cornell University. He also holds secondary appointments in the Department of Physiology and Biophysics and Department of Biochemistry. His research focuses on understanding the structural and functional mechanisms of ion channels and transporters, particularly the CLC protein family, which is implicated in human diseases like Bartter’s syndrome. Primary Appointment: Department of Anesthesiology Secondary Appointments: Department of Physiology and Biophysics, Department of Biochemistry Techniques: Cryo-Electron Microscopy, X-ray Crystallography, Electrophysiology His lab uncovers biophysical mechanisms of ion movement across cellular membranes, bridging active and passive transport proteins. Recent work highlights the dual nature of CLC proteins as both ion channels and transporters, challenging previous assumptions. The lab employs a multidisciplinary approach, combining structural biology with functional assays in synthetic lipid bilayers. Their research has direct implications for understanding ion channelopathies and developing targeted therapies. Recent publications explore lipid scrambling mechanisms in TMEM16 proteins, pH-dependent activation in CLC transporters, and voltage-gated channel modulation by anesthetics. These studies utilize Cryo-EM and crystallography to reveal molecular insights. Contacts: ala2022@med.cornell.edu | Accardi Lab Website

Yassin A. HassanView profile

Professor

• Computational Thermal Hydraulics
• Experimental Thermal Hydraulics
• Reactor Safety
• +12 more

Dr. Yassin A. Hassan is a Professor at the College of Engineering , Texas A&M University , with joint appointments in Nuclear Engineering and Mechanical Engineering . He holds the L.F. Peterson '36 Chair II , is a University Distinguished Professor , and directs the Center for Advanced Small Modular and Microreactors (CASMR) . Ph.D., Nuclear Engineering, University of Illinois – 1980 M.S., Nuclear Engineering, University of Illinois – 1975 B.S., Engineering, University of Alexandria in Egypt – 1968 His research interests include: Computational & Experimental Thermal Hydraulics Reactor Safety Fluid Mechanics Two-Phase Flow Turbulence & Laser Velocimetry Imaging Techniques His recent publications focus on: Thermal hydraulics of heat pipes and microreactors AI integration in nuclear thermal-fluid systems Flow regime transitions in wire-wrapped fuel assemblies CFD validation for pebble bed and molten salt reactors Uncertainty quantification in reactor simulations Flow visualization techniques under elevated pressures Scientific awards include: American Nuclear Society Seaborg Medal (2008) James N. Landis Medal (ASME, 2017) Akiyama Medal (ICONE 24, 2016) Arthur Holly Compton Award (ANS, 2003) Texas A&M TEES Research Impact Award (2018-2019) Honorary professor, Bangor University, UK Dr. Hassan leads the Thermal-Hydraulics Research Laboratory and has pioneered advancements in reactor safety, digital twin technologies, and AI-driven thermal-fluid simulations.

Anastassia N. AlexandrovaView profile

Professor

• Computational and Theoretical Chemistry
• Heterogeneous Catalysis
• Quantum Information Science
• +3 more

Anastassia N. Alexandrova is a Professor of Chemistry and Biochemistry and Materials Science and Engineering at the University of California, Los Angeles (UCLA). She holds the Charles W. Clifford Jr. Endowed Chair and leads a research group focused on computational and theoretical design of functional materials, with applications in heterogeneous catalysis, quantum information science, and enzyme reactivity. Her work integrates quantum mechanics, machine learning, and multi-scale modeling to address environmental and energy challenges. Education: B.S./M.S. in Chemistry, Saratov State University (2000, Summa cum laude) Ph.D. in Theoretical Physical Chemistry, Utah State University (2005) Postdoctoral Associate, Yale University (2005-2009) Research interests span heterogeneous catalysis (CO2 reduction, methanol synthesis), quantum information science (qubit design, nuclear clocks), and enzyme reactivity (electric field effects, artificial metalloenzymes). Recent publications highlight her focus on dynamic catalytic interfaces, quantum functional groups, and AI-driven material discovery. Scientific Awards: Royal Society of Chemistry Fellow (2024) Max Planck-Humboldt Medal (2021) NSF CAREER Award (2014) Sloan Research Fellowship (2013) DARPA Young Investigator (2011) Her lab collaborates with experimental teams in catalysis, surface science, and quantum physics, emphasizing method development and applied projects. Students and postdocs in her group work on diverse topics from CO2 hydrogenation to topological insulators, reflecting her interdisciplinary approach.

Aaron A. KingView profile

Professor

• Theoretical Ecology
• Epidemiological Dynamics
• Evolutionary Biology
• +5 more

Aaron A. King, Ph.D. , is the Nelson G. Hairston Collegiate Professor of Ecology and Evolutionary Biology, Complex Systems, and Mathematics at the University of Michigan and an External Professor at the Santa Fe Institute . He is a Fellow of the American Association for the Advancement of Science and a Biological Sciences Scholar at the University of Michigan. His research integrates mathematical modeling, statistical inference, and empirical data to study ecological and epidemiological systems. Education: Ph.D. in Applied Mathematics, University of Arizona, 1999 M.A. in Mathematics, University of Hawai'i, 1992 B.A. summa cum laude in Mathematics, Rice University, 1989 Research Interests: Dr. King's lab focuses on the dynamics of ecological, epidemiological, and evolutionary systems . His work includes: Modeling host-pathogen systems (COVID-19, influenza, dengue, pertussis, cholera, malaria) Antibiotic resistance in hospital settings Statistical inference for ecological and epidemiological data Integration of genomic and epidemiological data Mathematical frameworks for understanding parasite infections and immune responses Scientific Awards: Fellow of the American Association for the Advancement of Science Biological Sciences Scholar, University of Michigan Teaching and Mentorship: Dr. King teaches courses in Mathematical Ecology , Adaptive Systems , and Statistical Inference . He mentors graduate students and postdoctoral fellows, including Avinash Subramanian and Madeline Peters , and is affiliated with multiple interdisciplinary centers at the University of Michigan. Lab and Collaborations: He leads the King Laboratory of Theoretical Ecology & Evolution , which emphasizes reproducible research and rigorous theoretical approaches. The lab collaborates with institutions like the Santa Fe Institute and accepts students from programs such as Ecology & Evolutionary Biology , Applied & Interdisciplinary Mathematics , and Data Science .

• Mathematical Logic
• Philosophical Logic
• Philosophy of Mathematics
• +3 more

Prof. Dr. Reinhard Kahle is a faculty member at the University of Tübingen in the Faculty of Philosophy . He holds the academic rank of Professor and his research focuses on Mathematical Logic , Philosophical Logic , Philosophy of Mathematics , and History of Logic . He also investigates the Societal Relevance of Science and Philosophy of Language . Education : Studium der Mathematik, Philosophie und Informatik in Göttingen, Zürich und München (1987-1993) Diplom in Mathematik, LMU München (1993) Promotion in Informatik, Universität Bern (1997) Habilitation in Informatik, Universität Tübingen (2007) Habilitation in Mathematik, Universidade de Coimbra (2008) Awards : Carl Friedrich von Weizsäcker-Stiftungsprofessor für Theorie und Geschichte der Wissenschaften, University of Tübingen (2019) Publications : Advances in Proof Theory (2016, co-editor) Gentzen's Centenary: The quest for consistency (2015, co-editor) Over 40 peer-reviewed journal articles and book chapters focusing on proof theory, mathematical logic, and philosophical implications of formal systems

Claudia Bernhard-OettelView profile

Professor

• Work and Organizational Psychology
• Temporary and Part-Time Employment
• Self-Employment and Gig Economy
• +7 more

Claudia Bernhard-Oettel is a Professor and Deputy Head of Department at the Department of Psychology, Stockholm University , with a focus on work and organizational psychology . Her career spans roles at institutions like the Swedish Institute for Working Life, Södertörn University College, and Karolinska Institutet, where she coordinated interdisciplinary initiatives in the Stockholm Stress Center. She serves on editorial boards and grant review committees, including the Research Council for Health, Working Life and Welfare (FORTE) and the Academy of Finland. Education: Diplom in Psychology (equivalent to Master's) from TU Dresden (2001); PhD in Psychology from Stockholm University (2008). Her research examines changing labor markets , emphasizing temporary employment , self-employment , and gig work . Key areas include organizational justice , effort-reward imbalance , and career sustainability . She investigates how job insecurity and psychological contracts affect health, well-being, and career transitions. Recent articles highlight trends in temporary agency work narratives , illegitimate tasks , and self-employment health trajectories . Her workgroup-level analyses of leadership and task design offer practical insights into mitigating stress and turnover in the public sector. Scientific Contributions: Editorial leadership in the Scandinavian Journal of Work and Organizational Psychology (2019–2024). Coordination of the Stockholm Stress Center Graduate School (2017–2018). Membership in grant review committees for FORTE and the Academy of Finland. Advising: Supervised doctoral students in alternative employment forms , organizational justice , and workplace lock-in . Current supervisees include Louise Bergman (2025 defense) and Clara Plückelmann.

Michele CookeView profile

Associate Professor

• Active Faulting in Southern California
• Mechanical Modeling of Fault Systems
• Subduction Zone Hazards
• +5 more

Michele Cooke is an Associate Professor at the University of Massachusetts Amherst , affiliated with the School of Earth and Sustainability. Her research focuses on mechanical modeling of fault systems, particularly in Southern California, and she leads initiatives for disability equity in geosciences. Contact: cooke@umass.edu | (413) 577-3142 | Morrill 3 230, 611 N Pleasant St, Amherst, MA Research Interests: Active faulting and work minimization in fault evolution Integration of analog experiments (sandbox/claybox) with numerical models Disability equity in geosciences (e.g., The Mind Hears mentoring forum) Subduction zone hazards and energy budgets Earthquake early warning accessibility for deaf communities Education: Ph.D., Stanford University