Find Academic Supervisors

Andreas BullingView profile

Professor

• Human-Computer Interaction
• Computer Vision
• Machine Learning
• +4 more

Andreas Bulling is a Professor at the Institute for Visualisation and Interactive Systems , University of Stuttgart, Germany. His research focuses on Human-Computer Interaction , Eye Tracking , and Computer Vision , with applications in Machine Learning , Virtual Reality , and Information Visualization . 2025 Publications: HOIGaze (Extended Reality), ChartQC (Data Visualization), HAIFAI (Human-AI Interaction), SummAct (Behavioral Summarization), Chartist (Chart Reading). 2024 Contributions: HumanEYEze (Multimodal AI), HOIMotion (3D Object Detection), MultiMediate'24 (Engagement Estimation), Unified Model of Saliency (Scanpath Prediction). His recent work explores gaze estimation , interactive behavior modeling , and privacy-preserving eye-tracking systems . Key subfields include Extended Reality , Neural Networks , and Behavioral Biometrics . While no explicit scientific awards are mentioned, his research has been widely cited (8,003 total citations) and downloaded (132,740 times). Andreas leads projects in Interactive Systems and collaborates with institutions such as Aalto University , KU Leuven , and National University of Singapore . His lab focuses on eye movement analysis , human motion forecasting , and task-driven input modeling .

• Artificial Intelligence
• Computer Vision
• Deep Learning
• +13 more

Noorbakhsh Amiri Golilarz is an Assistant Professor in the Department of Computer Science at The University of Alabama, College of Engineering. He has established himself as a prominent researcher in artificial intelligence, particularly in computer vision, deep learning, and image processing. His educational background includes: Postdoctoral Research Fellow, Computer Science, Boston College (2023) Ph.D., Electrical and Computer Engineering, Southern Illinois University Carbondale (2023) D. Eng., Computer Science and Technology, University of Electronic Science and Technology of China (2021) M.S., Electrical and Electronic Engineering, Eastern Mediterranean University (2017) B.S., Electrical Engineering, University of Guilan (2012) Dr. Golilarz's research spans multiple domains of artificial intelligence with a particular focus on computer vision, deep learning, and image processing applications. His work addresses challenges in medical imaging, satellite imagery, and cognitive neuroscience. He has made significant contributions to image denoising techniques, control chart pattern recognition, and AI applications in healthcare. His recent work has expanded into generative AI, large language models, and secure machine learning operations. His publication portfolio demonstrates consistent productivity with over 2500 citations and an h-index of 25. His most impactful work includes applications of blockchain and federated learning for COVID-19 detection, optimized support vector machines for medical diagnosis, and innovative image denoising techniques using metaheuristic optimization algorithms. Among his professional achievements: Co-founded AI Letters journal in 2024, serving as Associate Editor-in-Chief Served as Lead Guest Editor and Topic Editor for several SCI-indexed journals Held the role of Conference Program Chair Dr. Golilarz has supervised numerous graduate students and research projects, with his work spanning theoretical advancements in AI algorithms to practical applications in healthcare, energy systems, and cybersecurity. His research group has established collaborations with institutions including Boston College and Mississippi State University.

Axel GandyView profile

Professor

• Computational Statistics
• Statistics in Finance
• Survival Analysis
• +3 more

Axel Gandy is a Professor of Statistics at the Department of Mathematics, Imperial College London. He serves as Director of the EPSRC CDT in Modern Statistics and Statistical Machine Learning , overseeing PhD supervision and advanced statistical training.

• Clinical Psychology
• Psychotherapy Process and Outcome
• Therapeutic Alliance
• +7 more

Lauren M. Lipner, Ph.D., is an Assistant Professor in the Clinical Psychology Doctoral Program at Long Island University (LIU) Post, within the College of Liberal Arts and Sciences. She holds a B.A. from Pennsylvania State University and earned her M.A. and Ph.D. in Clinical Psychology from Adelphi University in 2020. Her academic and clinical training includes an APA-accredited pre-doctoral internship at Pennsylvania Hospital/University of Pennsylvania Health System, a clinical postdoctoral fellowship at Mount Sinai Beth Israel, and a research and teaching postdoctoral fellowship at Adelphi University. Her research focuses on psychotherapy process and outcome, with an emphasis on the development and repair of the therapeutic alliance. Key areas include alliance rupture resolution, factors contributing to premature treatment termination, and methodological approaches to measuring therapeutic dynamics. She has contributed extensively to the literature through peer-reviewed journal articles, book chapters, and conference presentations. The most recent publications reflect a strong trend in advancing methodological rigor in studying alliance ruptures, utilizing control chart methods, single-case designs, and multi-method approaches. Her work bridges clinical practice with empirical research, particularly in cognitive-behavioral and integrative therapies for personality and anxiety disorders. Scientific awards and grants highlight her recognition in the field: Small Research Grant, Society for Psychotherapy Research (2021) Charles J. Gelso, Ph.D. Psychotherapy Research Grant, Society for the Advancement of Psychotherapy (APA Division 29, 2023) Dr. Lipner has served as Principal Investigator on funded projects including 'The relationship between therapist flexibility, alliance rupture resolution, and premature treatment termination' and 'Reasons for dropout measure: Development and validation.' She is actively involved in professional organizations such as the American Psychological Association (Divisions 12 and 29), the Society for Psychotherapy Research, and the Society for the Exploration of Psychotherapy Integration. She regularly presents her research at national and international conferences, contributing to training and supervision literature, particularly in CBT and alliance-focused models. While no specific lab or research team is explicitly named in the text, her collaborative work with prominent researchers like Jeremy D. Safran, J. Christopher Muran, and Jacqueline P. Barber suggests active participation in a research network focused on psychotherapy process and integration. Her contributions to handbooks and case studies further indicate a strong commitment to clinical education and training.

Samuel Jean BassettoView profile

Associate Professor

• Industrial Engineering
• Artificial Intelligence
• Cognitive Science
• +4 more

Samuel Jean Bassetto is an Associate Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal. He serves as Director of the Continuous Improvement Laboratory (LABAC) and holds membership in multiple prestigious research groups including the Research Group on Globalisation and Management of Technology (GMT), Poly-Industries 4.0 Laboratory, Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (CIRRELT), and Institute for Data Valorization (IVADO). Dr. Bassetto's research spans multiple disciplines, focusing on continuous improvement through the integration of engineering, artificial intelligence, cognitive science, psychology, and design. His primary sphere of excellence is in New Frontiers in Information and Communication Technologies, with secondary expertise in Modeling and Artificial Intelligence and Human Health. He develops tools that place humans at the center of technology to enhance organizational performance while respecting human rhythms and cognitive limitations. His recent publication portfolio reveals a strong interdisciplinary approach, with research bridging industrial engineering, cognitive neuroscience, and AI ethics. His work addresses practical challenges in lean manufacturing assessment, racial bias in medical AI systems, cognitive data collection in natural environments, and condition monitoring for industrial machinery. The research consistently demonstrates a commitment to developing practical solutions that integrate human factors with technological innovation. NSERC Synergy Prize for Innovation recipient Principal investigator on multiple research grants from NSERC, FRQ, and MITACS Collaborations with over a dozen institutions across multiple countries Supervision of over 150 highly qualified personnel throughout his career Dr. Bassetto teaches specialized courses including CAP7011 (Creativity in Research), IND8444 (Continuous Improvement), IND8203 (Industrial Launch), and previously taught IND8178 (Production). His teaching philosophy emphasizes practical application, with courses featuring hands-on exercises, real-world scenarios, and gamification techniques to enhance learning. His supervision portfolio includes numerous Ph.D. and Master's students working on topics ranging from human-technology collaboration to reinforcement learning for production management. Through LABAC, Dr. Bassetto leads research initiatives focused on developing human-centered tools for continuous improvement in organizational settings. The laboratory conducts projects related to industrial IoT applications, cognitive aspects of process improvement, and the development of practical frameworks for organizations to enhance performance while maintaining respect for human rhythms and cognitive capabilities.

Jossy SayirView profile

Lecturer

• Information Theory
• Data Compression
• Error Correction Coding
• +5 more

Jossy Sayir is an Affiliated Lecturer and Senior Research Associate in the Department of Engineering at the University of Cambridge . Holding a Dipl. El.-Ing. ETH and Dr. Techn.-Wiss. from ETH Zurich, Sayir’s work bridges Information Theory and Bioinformatics , focusing on DNA-based data storage and error correction systems. They serve as Director of Studies in Engineering at Newnham College and coordinate Engineering Admissions. Interdisciplinary collaboration with the European Bioinformatics Institute Research on DNA data storage efficiency and cost reduction Expertise in channel coding, source coding, and 5G algorithms Teaching spans mathematics and information engineering modules in Part I Engineering Tripos, with Part II contributions on information theory, error control coding, and cryptography. Sayir also oversees data compression labs and serves as Wine Committee Chair, reflecting diverse interests in food, coffee, wine, music , and jazz . Best Lecturer Award, 2017-18 Research Fellowships in coding theory Key research trends include DNA storage encoding , LDPC decoders , polar code optimization , and Sudoku-inspired constraint coding . Sayir’s work addresses both theoretical and practical challenges in high-density data storage and next-generation communication protocols .

Maneesh AgrawalaView profile

Professor

• Computer Graphics
• Human-Computer Interaction
• Information Visualization
• +2 more

Maneesh Agrawala is the Forest Baskett Professor of Computer Science at Stanford University and Director of the Brown Institute for Media Innovation. His research spans computer graphics, human-computer interaction, and information visualization. Agrawala's lab develops computational tools for visual communication, investigating how design principles improve media effectiveness. Current projects include diffusion models for image and video generation, sketch-based interfaces, and visualization tools for scriptwriting. His team creates systems that enable new forms of content creation and analysis. His publications demonstrate consistent innovation in visual computing, with recent advances in controllable generative models, video understanding, and visualization design. Agrawala has received numerous honors including the MacArthur Fellowship and ACM Fellowship for his contributions to visual computing.

• Global Health
• Health Systems
• Health Equity
• +7 more

Afsan Bhadelia, PhD, MS is an Assistant Professor in the Department of Public Health at Purdue University, where she teaches PUBH 240 – Global Health . Her nearly two decades of global-health scholarship focus on health-systems analysis, equity-oriented priority-setting, and the integration of palliative care for chronic diseases, notably cancer. Education: PhD – Johns Hopkins University MS – Tufts University BS – Tufts University Research Interests: Dr. Bhadelia’s transdisciplinary programme sits at the intersection of public health, complexity science, ethics, economics, and policy . She develops novel methodologies and metrics to illuminate social and structural determinants of health—using cancer and palliative care as tracer conditions—and embeds a gender-justice lens throughout. Her overarching goal is citizen-driven priority-setting that aligns health-system investments with societal values. Awards & Recognition: Fulbright U.S. Scholar (2021) Gordis Teaching Fellowship, Johns Hopkins Bloomberg School of Public Health (2015) Young Cancer Leader, Union for International Cancer Control (2015) Presidential Award for Citizenship and Public Service, Tufts University (2006) Research Trajectory & Impact: Bhadelia’s prolific publication record (46+ papers) charts a clear arc from quantifying the global burden of serious health-related suffering to crafting ethically-grounded, policy-ready solutions. Recurring themes include opioid-access equity, racism and casteism in pain relief, and integration of palliative care into universal health coverage. Her 2025 updates to the Lancet Commission, alongside multiple WHO-aligned metrics papers, position her work at the forefront of global palliative-care science. Community-Engaged Scholarship & Teaching: Emphasising community-partnered research, she mentors students in community-engaged methods and co-develops curricula that blend complexity thinking with real-world policy challenges. Through Purdue’s signature research areas— Developmental Health & Wellness, Healthy Lifestyles & Vital Longevity, Sustainable Organizations & Thriving Communities —her lab collaborates across disciplines to ensure research uptake by policymakers and practitioners.

Katherine Elizabeth ChettaView profile

Assistant Professor

• Neonatology
• Preterm Infant Nutrition
• Necrotizing Enterocolitis
• +3 more

Katherine Elizabeth Chetta, M.D., serves as an Assistant Professor of Pediatrics in the College of Medicine at the Medical University of South Carolina (MUSC), practicing neonatology at Shawn Jenkins Children's Hospital in Charleston. Her clinical focus centers on critically ill newborns in the Neonatal Intensive Care Unit (NICU), with specialized expertise in preterm infant care and nutritional management. Dr. Chetta completed her educational journey with a B.S. in Chemistry (Honors) from the University of Kansas (2005), followed by her M.D. from Baylor College of Medicine (2009) where she earned Alpha Omega Alpha (AOA) distinction and High Honors. She completed Pediatrics Residency (2013) and Neonatology Fellowship (2016) at Baylor College of Medicine and the University of Texas Health & Science Center in Houston. Her research program investigates critical aspects of neonatal nutrition, particularly the biochemical properties of human milk and its role in preventing gastrointestinal disorders. Key focus areas include necrotizing enterocolitis (NEC) pathogenesis, free fatty acid metabolism in preterm milk, maternal vitamin D impacts on infant immunity, and quality improvement initiatives for human milk utilization. Collaborations span the Digestive Disease Research Center Core and Darby Children's Research Institute at MUSC, integrating laboratory science with clinical epidemiology. Analysis of her 15 most recent publications reveals dominant research trajectories: (1) Human milk composition and storage effects on infant outcomes, (2) NEC risk stratification through clinical/laboratory markers and imaging, (3) Social determinants of growth in preterm infants, and (4) Microbiome interactions with milk components. Her work bridges basic science (in vitro cytotoxicity studies) with clinical implementation (NICU quality improvement). Scientific recognition includes: Induction into Alpha Omega Alpha (AOA) Honor Medical Society Dr. Chetta actively collaborates with multidisciplinary teams across MUSC's research infrastructure, though specific grant details aren't provided in source materials. Her mentorship extends to medical trainees within the neonatology division, focusing on translational research methodologies. Current projects emphasize standardizing NEC diagnostic protocols and optimizing human milk feeding systems for vulnerable infants. She contributes to laboratory-based investigations at the Darby Children's Research Institute, particularly studying HAMLET complexes in human milk and their effects on intestinal cell metabolism. Her clinical work directly informs ongoing quality improvement initiatives aimed at increasing mother's own milk usage rates in the NICU.

Kimberly BeckerView profile

Professor

• Child Mental Health
• Treatment Engagement
• Clinical Decision Support
• +3 more

Kimberly Becker is Professor in the Department of Psychology at the McCausland College of Arts and Sciences, University of South Carolina. She holds a BA from College of William & Mary, PhD from University of Arizona, Clinical Respecialization Certificate from University of Hawaii, completed clinical internship at Kennedy Krieger Institute, and postdoctoral fellowship at Johns Hopkins University. Dr. Becker directs the Becker Lab focused on extending mental health service reach and effectiveness. Her research encompasses: Treatment engagement strategies for youth/families Clinical decision support tools development Workforce training through supervision/coaching Expanding mental health workforce capacity School-based intervention implementation Dr. Becker's publications demonstrate consistent focus on mental health services research. Recent work (2023-2025) examines clinical decision-making, implementation science, school-based services during COVID-19, and cross-cultural interventions. Her articles frequently address treatment engagement barriers, workforce development, and scalable service models in diverse settings. Her research has been supported by: William T. Grant Foundation Klingenstein Foundation National Institute on Drug Abuse She trains doctoral students in evidence-based psychosocial treatments and clinical decision-making. Dr. Becker mentors students in developing research programs to improve mental health services for underserved populations. She leads the Becker Lab whose mission emphasizes equity, authentic partnerships, applied science, and paradigm-shifting approaches to children's mental health services.

Maneesh AgrawalaView profile

Professor

• Computer Graphics
• Human-Computer Interaction
• Visualization
• +7 more

Maneesh Agrawala is the Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He is also a consulting AI Scientist at Roblox. His research lies at the intersection of computer graphics, human-computer interaction (HCI), and visualization, with a focus on cognitive design principles for improving audio/visual media. He leads a vibrant research group and has advised numerous PhD students and postdocs. His research interests include: Computer Graphics Human-Computer Interaction Visualization and Visual Communication Cognitive Design Principles Generative AI and Diffusion Models Interactive Video and Sketch-based Interfaces Data and Information Visualization His recent publications (2023–2025) reflect a strong trend toward leveraging generative models—particularly diffusion models—for video and image synthesis, editing, and personalization. Key themes include controllable generation (e.g., SparseCtrl, ControlNet), sketch-to-image translation, relightable texturing, and tools that enhance visual storytelling and data communication. His work integrates cognitive science with computational tools to build systems that support human creativity and understanding. His scientific honors include: MacArthur Foundation Fellowship (2009) Alfred P. Sloan Foundation Fellowship (2007) NSF CAREER Award (2007) SIGGRAPH Significant New Researcher Award (2008) Allen Distinguished Investigator Award (2014) Induction into the SIGCHI Academy (2021) ACM Fellow (2022) Okawa Foundation Research Grant (2006) A dedicated mentor, Agrawala has advised a large cohort of students and postdocs, many of whom have gone on to influential positions in academia and industry. His lab develops tools for video editing (e.g., AnimateDiff, ControlNet), sketch-based design, and visualization (e.g., EmphasisChecker), often bridging theory with practical applications in media and education. He continues to be a leading figure in visual computing and interactive systems.

• Biomechanics
• Human Movement Science
• Gait Analysis
• +10 more

Friedl De Groote is a Senior Lecturer at KU Leuven's Faculty of Human Movement and Rehabilitation Sciences, Department of Human Movement Sciences, specializing in the biomechanics of human movement. She leads the Biomechanics of Human Movement Research Group and is a member of the iSi Health - KU Leuven Institute for Physics-based Modeling for In Silico Health. Her research focuses on understanding neuromusculoskeletal control of human movement, particularly through computational modeling approaches. She investigates gait disorders in children with cerebral palsy and Duchenne muscular dystrophy, examining how muscle impairments, contractures, and neural control mechanisms contribute to altered movement patterns. Her work combines experimental biomechanics with predictive computer simulations to uncover the underlying mechanisms of movement disorders and develop new rehabilitation approaches. She also studies fundamental aspects of human locomotion, balance control, and energy expenditure during walking. Her recent publications demonstrate a strong emphasis on predictive simulations to understand the relationship between neuromusculoskeletal impairments and movement pathology. Her research spans multiple domains including cerebral palsy, Duchenne muscular dystrophy, gait analysis, balance control, and musculoskeletal modeling. She frequently collaborates with clinical researchers to bridge the gap between computational models and clinical applications. Dr. De Groote is actively involved in various academic councils including the Faculty Council FaBeR, POC Rehabilitation Sciences and Physiotherapy, POC Physical Education and Movement Sciences, and multiple departmental councils within Human Movement Sciences. Her ORCID identifier is 0000-0002-4255-8673 . She currently leads or co-leads numerous research projects funded through KU Leuven and external grants, with a focus on understanding walking control mechanisms, energy expenditure during locomotion, and developing computational models to inform rehabilitation strategies for children with movement disorders. Her research portfolio demonstrates a commitment to translating biomechanical insights into clinically relevant applications.

XiuJun LiView profile

Professor

• Microfluidics
• Nanotechnology
• Lab-on-a-Chip
• +9 more

Dr. XiuJun Li is a Professor in the Department of Chemistry and Biochemistry at The University of Texas at El Paso (UTEP) within the College of Science. He leads the Li Microfluidic Lab-on-a-Chip & Nanotechnology Group, focusing on the development of cutting-edge, low-cost diagnostic technologies for applications in bioanalysis, biomedical engineering, forensic science, and environmental science. His work is highly interdisciplinary, bridging chemistry, engineering, and biology. Dr. Li's primary research interests lie in microfluidics, nanotechnology, lab-on-a-chip systems, and point-of-care diagnostics. His lab specializes in creating paper and polymer hybrid microfluidic devices for the ultrasensitive detection of cancer biomarkers, infectious diseases (such as SARS-CoV-2 and pertussis), and environmental toxins. A significant focus is on making these devices instrument-free and affordable, particularly for use in resource-limited settings and rural areas. His recent work on a $3 paper-based cancer detector has garnered significant media attention, including features in the New York Post and local TV stations. The trend in Dr. Li's recent publications reveals a strong emphasis on developing portable, visual, and quantitative diagnostic platforms. His research frequently involves the integration of nanomaterials for signal amplification, the use of microfluidic chips for controlled reactions, and innovative readout methods like bar-chart displays and smartphone-based detection, all aimed at creating practical tools for real-world healthcare challenges. Dr. Li has received substantial recognition for his contributions to science, including being named one of the World's Top 2% of Cited Researchers by Elsevier and a Top Scholar by ScholarGPS. He is an Editorial Board Member for Microsystems & Nanoengineering (Nature Publishing Group) and has been awarded a Travel Grant from GEM on the Road’s PFI Programming. He holds patents for his inventions in biosensing and photothermal detection. Dr. Li is a dedicated mentor and educator. He has advised numerous PhD and Master's students, many of whom have gone on to prestigious postdoctoral positions at institutions like Harvard, UPenn, and MD Anderson. He is also the Director of the Forensic Science program at UTEP, where he organizes outreach events to engage students. His lab is actively involved in research, with multiple postdoctoral fellows and graduate students currently working on projects related to cancer detection and infectious disease study.

Ruben MartinsView profile

Assistant Professor

• Constraint Programming
• Program Synthesis
• Formal Verification
• +3 more

Ruben Martins is an Assistant Professor at Carnegie Mellon University's School of Computer Science and serves as the program director of the Master of Science in Computer Science (MSCS) . His research focuses on the intersection of constraint programming, program synthesis, analysis, and verification, with recent work aiming to make formal methods tools more accessible through automated reasoning. Ruben earned his Ph.D. with honors from the Technical University of Lisbon, Portugal (2013) , followed by postdoctoral research at the University of Oxford (2014-2015) and UT Austin (2015-2017) . Research Interests : Ruben's work bridges constraint programming and program synthesis , with applications in software verification , optimization , and automated reasoning . He has developed award-winning tools like Open-WBO , a modular MaxSAT solver that has won gold medals in international competitions. His publications span top-tier venues such as POPL , PLDI , FSE , SAT , and CP , often addressing real-world challenges from program analysis to network security. Scientific Awards include: Distinguished Paper Award at PLDI 2018 Distinguished Paper Award at FSE 2021 Distinguished Paper Award at SAT 2022 Gold medals for Open-WBO in MaxSAT competitions Teaching & Advising : Ruben mentors Ph.D., Master’s, and undergraduate students in research projects related to program synthesis, formal methods, and constraint solving. He teaches courses such as Bug Catching: Automated Program Verification and Advanced Topics in Logic: Automated Reasoning and Satisfiability , emphasizing hands-on experience with tools like Why3. His advising spans topics from AI-driven program repair to network protocol verification , fostering collaboration across disciplines.

Asad RazaView profile

Senior Lecturer

• Cybersecurity
• Network Security
• Blockchain Technology
• +3 more

Asad Raza is a Senior Lecturer in the Department of Computer Science at NJIT. With 13 years of teaching experience across four countries, he focuses on cybersecurity, network security, and related disciplines. He holds an M.S. in Information & Communication Systems Security from KTH Royal Institute of Technology (2009) and a B.S. in Software Engineering from the University of Engineering & Technology (2005). His expertise includes providing cybersecurity trainings to government, military, and private sectors, along with delivering courses such as Network Protocols Security and Introduction to Cybersecurity. He has published widely on topics ranging from blockchain oracle solutions to intrusion detection systems. Research interests encompass cybersecurity fundamentals, wireless sensor networks, and cyber-physical systems. Recent work addresses blockchain oracle vulnerabilities, risk management in industrial systems, and energy-efficient routing protocols. His contributions to forensic processes in virtualized environments and automated network security tools further highlight his interdisciplinary approach. Notable collaborations include industry partnerships for cybersecurity trainings and invited speaking roles at international conferences. While no specific grants or awards are listed, his active research and teaching reflect a commitment to advancing cybersecurity education and practice.