Find Academic Supervisors

• Bioinformatics
• Computational Biology
• Phylogenetics
• +3 more

Prof. Manuela Schmidt is a faculty member at the University of Vienna, affiliated with the Faculty of Life Sciences and the Department of Pharmaceutical Sciences. Her research focuses on modern systems biology pain research and biomedical applications, primarily conducted in her laboratory. She supervises Master's theses with limited availability, requiring applications between January 1–31, 2025, and coordinates both experimental and literature-based thesis opportunities. Her work spans bioinformatics, computational biology, and phylogenetics, with significant contributions to maximum likelihood phylogenetic methods and software development (e.g., IQ-TREE). Research trends include evolutionary biology, molecular biology, and applications of machine learning in phylogenetic analysis. Additional interests involve environmental microbiology and developmental genetics. For contact, email manuela_schmidt@univie.ac.at. Her lab is located at UZA II, Josef-Holaubek-Platz 2, A-1090 Vienna, Austria (phone: +43-1-4277-55301).

• Customer Relationship Management
• Social Media Analytics
• Marketing Technology
• +3 more

David A. Schweidel is a Professor of Marketing at Emory University’s Goizueta Business School. With a background in mathematics, statistics, and marketing, he has held faculty positions at the University of Wisconsin-Madison and Georgetown University. His expertise spans customer relationship management, social media analytics, and data-driven marketing strategy. Ph.D. in Marketing – University of Pennsylvania M.A. in Statistics – University of Pennsylvania B.A. in Mathematics – University of Pennsylvania His research focuses on statistical modeling of customer behavior, with applications in social media analytics, political marketing, and consumer data utilization. He has consulted for companies like EBay and General Motors, and authored books on social media intelligence and data economy applications in business. His recent publications explore topics like political social media communication, blockchain marketing integration, and generative AI applications. Articles examine consumer privacy trade-offs, customer acquisition modeling, and the role of user-generated content in hybrid marketing environments. Recipient of Gaumnitz Junior Faculty Research Award Marketing Science Institute Buzzell Award winner Recognized in Marketing Science Institute Young Scholar program Included in Poets and Quant’s Top 40 Under 40 His work bridges academic research with practical marketing applications, particularly in digital environments and data analytics.

Kari KrausView profile

Associate Professor

• Digital Humanities
• Game Studies
• Digital Preservation
• +4 more

Kari Kraus is an Associate Professor at the College of Information Studies (INFO College) at the University of Maryland. Her research focuses on digital humanities, game studies, digital preservation, and speculative design. She holds a PhD from the University of Rochester and is affiliated with the Center for Archival Futures (CAFe) and the Human-Computer Interaction Lab (HCIL). Kraus explores topics like alternate reality games (ARGs) in educational contexts, transmedia storytelling, and the ethical use of AI in writing through tools like the HaLLMark system. Her work bridges humanities scholarship with emerging technologies, emphasizing participatory design and future-oriented thinking. Currently, she is writing a book on speculative design methodologies for envisioning possible futures. Kraus's publications span digital preservation strategies, youth engagement through games, and the intersection of technology with cultural heritage. Research Interests: New Media and Digital Humanities Game-Based Learning and ARG Design Speculative Design and Futures Studies Digital Preservation and Cultural Memory Transmedia Storytelling and Co-Design Ethics of AI in Academic Writing Recent Article Trends: Recent work emphasizes ethical AI integration (e.g., HaLLMark's provenance tracking), ARG applications in libraries and museums, and speculative design frameworks. Her research often combines NLP, visualization tools, and participatory methods to address challenges in digital culture and education. Awards: No explicit awards listed, though her work has been featured in outlets like the New York Times and Wired. Advising & Grants: Kraus is currently not accepting PhD students. Her projects include grants for STEM learning through scientific ARGs and collaborations with public libraries. Labs & Teams: Active in CAFe (archival futures) and HCIL (human-centered tech research). Collaborates on initiatives like the Arcane Gallery of Gadgetry ARG and youth-focused digital projects.

• Robotics
• Human-Robot Interaction
• Control Systems
• +5 more

Brandon J. DeHart is an Adjunct Assistant Professor at the University of Waterloo. He is affiliated with the university's academic faculty and can be contacted at brandon.dehart@uwaterloo.ca or at location E5 3108. His research focuses on robotics, particularly humanoid robots, control systems, and roboethics. He has contributed to advancements in dynamic balance, gait metrics, and human-robot interaction. His work spans topics like legged mechanism design, sensor networks in art installations, and automated content generation systems. His research interests include the development of humanoid robots capable of child-friendly interactions, robust control strategies for uncertain environments, and ethical considerations in robotic design. He has explored technical challenges like foot placement estimators for balance recovery and momentum-based gait generation in bipedal systems. Notable contributions include methodologies for tracking visitor engagement in large art installations and frameworks for interconnecting cellular automata across hardware and software. His publications reflect a blend of robotics engineering, AI applications, and interdisciplinary approaches to technology design.

Fatma GzaraView profile

Professor

• Operations Research
• Large Scale Optimization
• Supply Chain Analytics
• +5 more

Fatma Gzara is a Professor at the Department of Management Sciences, University of Waterloo, and co-founder/co-director of WANOPT (Waterloo Analytics and Optimization Lab). Her research focuses on supply chain analytics, large-scale optimization, and data-driven decision-making in logistics systems. She has led industry-funded projects with NSERC, OCE, MITACS, and collaborators like Bombardier and Unilever. Education: PhD in Management Science from McGill University (2003). Teaches courses such as MSCI 331 (Optimization), MSCI 734 (Network Models), and graduate seminars (MSCI 200A/B). Active in graduate student supervision. Research interests include optimization under uncertainty, drone delivery systems, hazmat transportation planning, and airline operations. Recent publications explore pandemic resource allocation, crowdsourced delivery economics, and urban UAV traffic management. Funding collaborations include NSERC grants for supply chain analytics and MITACS partnerships. WANOPT lab focuses on integrating analytics with optimization for large-scale systems.

Mary BarczakView profile

Assistant Professor

• Special Education
• Transition Planning
• Workforce Participation Interventions
• +3 more

Mary Barczak is an Assistant Professor in the Special Education program within the Department of Educational Psychology at The University of Oklahoma's Jeannine Rainbolt College of Education. Her primary research focuses on transition planning for students with intellectual and developmental disabilities, workforce participation interventions, and preparing educators and paraeducators through technology-based and systematic instructional practices. She also investigates inclusive education strategies and peer-mediated interventions to enhance social and academic outcomes for students with severe disabilities. Her work emphasizes practical applications in educational settings, including studies on paraeducator training effectiveness, peer network interventions for students with complex communication needs, and the use of visual supports to teach vocational skills. Dr. Barczak's research consistently addresses gaps between evidence-based practices and real-world implementation, particularly in supporting educators to better serve marginalized student populations. Her office is located in Collings Hall 310, and she can be reached at Mary.Barczak-1@ou.edu. Though not explicitly listed, her research trajectory suggests involvement in grant-funded projects related to special education innovation and teacher training initiatives.

Eduardo BlancoView profile

Associate Professor

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +7 more

Eduardo Blanco is an Associate Professor in the Department of Computer Science at the University of Arizona. His research focuses on advancing Natural Language Processing (NLP) with an emphasis on understanding negation, hate speech dynamics, and computational linguistics applications. He explores how language models can better interpret ambiguous statements, predict conversation incivility, and counteract harmful online content through structured responses. Blanco’s work spans theoretical and applied NLP domains, including semantic role labeling, sentence embedding evaluation, and biomedical text analysis using protein language models. His research often integrates large language models with task-specific frameworks to address challenges in zero-shot learning and negation robustness. Key areas of investigation include: Negation processing and affirmative interpretation Social media discourse dynamics and hate speech detection NLP for biomedical applications (glycosylation site prediction) Semantic similarity alignment in sentence embeddings His recent articles highlight advancements in counterhate speech strategies, temporal QA systems, and LLM-based peer review tools. Notably, he secured the NSF CAREER Award for studying negation through positive interpretations (2022). Collaborative efforts focus on interdisciplinary teams addressing challenges in computational linguistics, with grants supporting projects like the ALIGN-SIM benchmarking framework and BEMEAE event argument extraction system.

• Machine Learning
• Spatial Data Mining
• AI in Mental Health
• +4 more

Dr. Saida Elmi is an Assistant Professor Adjunct at Yale University School of Medicine and an Assistant Professor at the University of New Haven. She holds a Ph.D. in Computer Science from the National School of Mechanics and Aerotechnics (2017), followed by postdoctoral research at Korea University of Technology and Education (2017–2018) and National University of Singapore (2018–2021). Her research focuses on AI applications in healthcare, transportation systems, and spatial data mining. She developed the Automated Test of Embodied Cognition (ATEC), an AI-driven system using motion capture and machine learning for mental disease detection. Key contributions include predicting taxi fares, travel times, and energy consumption in transportation networks using deep learning architectures like RNNs and CNNs, and designing group-oriented recommendation systems for points-of-interest (POIs) using graph convolution networks and attention mechanisms. Education : Ph.D., Computer Science, National School of Mechanics and Aerotechnics (2017) Postdoctoral Research, Korea University of Technology and Education (2017–2018) Postdoctoral Research, National University of Singapore (2018–2021) Her research interests span machine learning, spatial data mining, and AI ethics. She has pioneered frameworks for spatio-temporal data analysis, including a transfer learning approach for travel time prediction in data-scarce regions. Her work on energy consumption modeling and POI prediction has been published in top-tier conferences like WWW, MOBIQUITOUS, and ECIR. Dr. Elmi’s interdisciplinary projects integrate AI with healthcare and urban systems, emphasizing automated cognitive assessment and smart city technologies. Her current efforts focus on refining action recognition algorithms for clinical applications and optimizing recommendation systems for group mobility decisions.

• Computer Graphics
• Data Visualization
• Human-Computer Interaction
• +3 more

Tobias Isenberg is a Researcher affiliated with INRIA-Saclay, France, and has academic ties to the University of Paderborn and Ruhr University Bochum in Germany. He holds a Ph.D. from Otto-von-Guericke University Magdeburg (2004). His work focuses on advanced visualization techniques, particularly in interactive and illustrative visualization, human-computer interaction, and cross-reality systems (VR/AR). He has contributed significantly to the fields of molecular visualization, 3D data interaction, and stylization methods. Key research interests include spatial data exploration, user-centric design for 3D visualization tools, and the integration of machine learning with visualization systems. He has collaborated extensively with institutions like the University of Magdeburg, Ruhr University Bochum, and international teams on projects involving medical imaging, data storytelling, and perceptual evaluation of visual representations. His publications emphasize innovative interaction techniques, such as touch-based and tangible input for 3D data manipulation, and the application of visualization in domains like cell biology and molecular modeling. He is active in conferences like IEEE VIS, EuroVis, and CHI, contributing to the advancement of visualization research and its practical applications.

Heng CaiView profile

Assistant Professor

• Geographic Information Science
• Disaster Resilience
• Socio-Environmental Sustainability
• +3 more

Dr. Heng Cai is an Assistant Professor at Texas A&M University, leading the GIScience for Resilience (GIResilience) Research Group. Her work focuses on geographic information science, disaster resilience, socio-environmental sustainability, and environmental health. She develops geospatial data mining and decision-support tools to model human-environment interactions under climate change and natural hazards. Education: Ph.D. in Environmental Science (Louisiana State University), M.S. in Geographic Information Science (Chinese Academy of Sciences), B.E. in Surveying and Mapping (China University of Geosciences). Research interests include geospatial data science, hazard modeling, and resilience assessment. Her group has pioneered studies on land loss prediction in coastal Louisiana, social media analysis for disaster response, and cyberGIS platforms like PRIME. Recent work emphasizes climate adaptation strategies and urban resilience frameworks. Publications span interdisciplinary journals like Remote Sensing , Annals of the American Association of Geographers , and International Journal of Digital Earth . She actively collaborates with NASA and disaster management agencies, securing grants for projects like HeatSMART and U-CARE. Labs/Teams: GIResilience Group (www.gis-resilience.info) focuses on innovative geospatial solutions for societal resilience. She mentors undergraduate and graduate students in GIS programming, webGIS, and geodatabase applications.

• Renewable Energy Systems
• Smart Grid Technologies
• Machine Learning in Energy
• +3 more

Dr. Nameer Al Khafaf is a Lecturer in the School of Engineering at RMIT University, located at City Campus, Australia. His research focuses on renewable energy systems, smart grid technologies, and machine learning applications in energy management. He is actively involved in supervising research projects, including AI for Clean Energy and Sustainability and Multi-objective optimisation of battery storage systems . His research interests span photovoltaic generation forecasting, hydrogen hybrid energy systems, electric vehicle integration, and energy storage optimization. His work emphasizes leveraging deep learning and neural networks to address challenges in renewable energy integration and grid reliability. Dr. Al Khafaf’s recent articles highlight advancements in photovoltaic forecasting, hydrogen energy systems feasibility, and EV charge scheduling. These studies underscore his commitment to sustainable energy solutions and smart grid innovation. He is open to supervising Masters and PhD students in these areas. No scientific awards have been explicitly stated. His work involves collaborations with industry partners and international research teams, contributing to both academic and applied outcomes in energy systems.

Philippe ArchambaultView profile

Professor

• Assistive Technology
• Virtual Reality
• Wheelchair Mobility
• +3 more

Philippe Archambault is a Full Professor at the School of Physical and Occupational Therapy, McGill University, and Co-Scientific Director of the Inclusive Society Initiative and CRIR (Interdisciplinary Research Center in Rehabilitation). His research focuses on assistive technology, virtual reality, robotics, and participatory approaches for mobility and social inclusion of individuals with disabilities. Degrees: BSc in Physics and Occupational Therapy (McGill), MSc in Biomedical Engineering, PhD in Neuroscience (Université de Montréal), Postdoc in Neurophysiology of Movement (Rome) Lab: Located at Jewish Rehabilitation Hospital (Laval, Quebec), specializing in user-centered development of wheelchair simulators and rehabilitation robotics Research Themes: Development of virtual reality simulators for wheelchair/scooter training; integration of wearable sensors and robotics in rehabilitation; participatory research for social inclusion; clinical evaluation of low-cost home/clinic technologies. Scientific Contributions: 2023 studies on miWe simulator, manual wheelchair VR, and social inclusion frameworks; 2022 work on pediatric mobility training; 2021 multimodal stroke interventions; 2020 exergame trials; 2019-2018 foundation studies on simulator design and assessment tools.

Masih FadakiView profile

Senior Lecturer

• Supply Chain Analytics
• Approximate Dynamic Programming
• Applied Operations Research
• +3 more

Dr. Masih Fadaki is a Senior Lecturer in the Accounting, Info Sys & Supply Chain Department at RMIT University's City Campus, Australia. He holds a Bachelor of Engineering (First-Class Honours), an MBA in Operations Management, and a PhD in Supply Chain Management. With nearly 20 years of industry experience in analytics, supply chain, and procurement roles, Dr. Fadaki has published in top-tier journals such as Decision Sciences and International Journal of Production Economics . His research focuses on Approximate Dynamic Programming, Supply Chain Analytics, and Stochastic Programming. He has received multiple teaching awards from RMIT and the University of Melbourne, as well as the School Research Award. Education: Bachelor of Engineering with First-Class Honours MBA in Operations Management PhD in Supply Chain Management Research Interests: Approximate Dynamic Programming Supply Chain Analytics Reinforced Learning Stochastic Programming Equitable Allocation Policies Disruption Risk Management Teaching Interests: Covers Supply Chain Management, Operations Research, Big Data Analytics, and Strategic Procurement. He supervises research on humanitarian supply chains, data breach behaviors, and stochastic optimization models. Awards: RMIT University Teaching Awards University of Melbourne Teaching Awards School Research Award Committee Involvement: Served on the School Research Committee at RMIT University since July 2021.

Jae Woo LeeView profile

Senior Lecturer

• Computer Science
• Networking
• Systems Programming
• +5 more

Jae Woo Lee is a Senior Lecturer in the Department of Computer Science at Columbia University , where he has been since 2008. He serves as Director of Undergraduate Studies for BA Programs and Associate Chair for Undergraduate Education. His research focuses on network architecture, programmable routers, and computer science education. Education: B.A. in Physics from Columbia College (1994) Ph.D. in Computer Science from Columbia University (2012) Research interests include: NetServ : A programmable router architecture for deploying in-network services on edge routers using Java and OSGi. Demonstrated at GEC9. Content-Centric Networking : Projects like CCNxServ for dynamic service scalability and GRAND for named data version control. DHT and Multicast : Work on large-scale DHT bootstrapping and churn-immune architectures. Location-Based Services : Indoor localization for emergency services and population density-driven map simplification. Publications reflect expertise in networking (Cloud Computing, NetServ, Content-Centric Networking), distributed systems (DHT, Peer-to-Peer), and CS education. Articles span 2007–2015, with recent work on container-based cloud networking and future internet architectures. Teaching awards include: SEAS Alumni Association Distinguished Faculty Teaching Award (2016) Columbia University Presidential Teaching Award (2011) Andrew P. Kosoresow Memorial Award (2009) Gold Nugget in CULPA (2011) Featured in Bwog's Best Classes Ever (2012) Teaching emphasizes hands-on learning. Courses include Advanced Systems Programming, C++ for C Programmers, Operating Systems, and Essential Data Structures. Redesigned COMS W3157 to focus on project-based learning with a capstone web server project.

Michael KantersView profile

Professor

• Youth Sport Development
• Physical Activity Promotion
• School Facility Shared Use Policies
• +3 more

Michael Kanters is a Professor in the Department of Parks, Recreation and Tourism Management at North Carolina State University's College of Natural Resources. He holds a B.A. from the University of Waterloo (1984), M.S. (1985), and Ph.D. (1988) from Indiana University, specializing in Human Performance and Recreation Administration. His teaching focuses on sport management, while his research emphasizes children's physical activity and youth sport policies, particularly shared use of school facilities to promote health equity. Key themes include the environmental impact of youth sports commuting, sport-based life skills programs for underserved populations, and policy strategies for increasing physical activity access in low-income and rural communities. Notable research includes evaluating shared use agreements in North Carolina schools, analyzing commuting patterns in youth sports, and assessing physical activity levels in high school sports. He has secured over $2 million in grants from agencies like the CDC and DHHS, focusing on obesity prevention, park prescription programs, and the Healthy Sport Index. His work often bridges academia with community partnerships to address public health challenges through sport and recreation policies. Grants: $1.5M: Multi-Level Approach to Prevent Obesity in four NC counties (2016–2018) $103K: Prescribing Parks and Recreation for Community Health (2017–2018) $125K: Healthy Sport Index Project with the Aspen Institute (2017–2018) Dr. Kanters has presented at conferences like the Global Summit on Physical Activity of Children and Active Living Research, emphasizing interdisciplinary collaboration. His research groups examine facility utilization, policy simulation, and cost-benefit analyses to optimize community health outcomes through sport and recreation initiatives.