Find Academic Supervisors

• Neurocinematics
• Neurophenomenology
• Enactive Cinema
• +4 more

Pia Tikka is a Research Professor at the Baltic Film, Media, and Arts School, Tallinn University, Estonia. Her academic career spans interdisciplinary work in neurocinematics, enactive cinema, and cognitive film studies. She leads the five-year research project "Cinematic minds behind-the-scenes," funded by the Estonian Research Institute (PRG2109), exploring filmmakers' creative processes through neurophenomenology. She also directs the Enactive Virtuality Lab at the MEDIT Centre of Excellence. Previously, she managed EU-funded projects like the Mobilitas Plus Top Researcher initiative (MOBTT90) studying viewer co-presence in virtual reality. Tikka holds a Doctor's Degree from Aalto University (2008) and has over four decades of experience as a filmmaker, including feature films, documentaries, and interactive cinema installations. Education highlights include a PhD in Arts (Aalto University, 2008), an M.A. in Cinematography (Helsinki Film School, 1996), and early training in graphic design (1980s). Awards include the 2016 Adjunct Professor title from the University of Lapland and lifetime fellowships in cognitive film studies. Her creative work integrates innovative interactive formats, such as the Enactive Avatar and installations like Obsession , recognized with Prix Möbius awards (2006). Research focuses on neural mechanisms of narrative engagement, embodied cognition in film, and human-robot interaction. Key projects include neuroimaging studies of film comprehension and hybrid intelligence applications in asylum interviews. Supervision includes guiding postdocs, doctoral, and MA students in film and media studies. Tikka collaborates internationally, chairs editorial boards (e.g., Projections: The Journal for Movies and Mind ), and presents at conferences such as ICIDS and CILECT.

• Surgical Robotics
• Minimally Invasive Surgery
• Virtual Reality in Medical Training
• +3 more

Caroline Giai Ly Cao serves as Professor in Industrial and Enterprise Systems Engineering, Bioengineering, and Biomedical and Translational Sciences at the University of Illinois Urbana-Champaign's Grainger College of Engineering. She directs both Engineering Innovation and Medical Simulation and Applied Health Technology Initiatives, driving interdisciplinary medical technology development. Her research focuses on surgical robotics and medical simulation, specializing in laparoscopic training systems with haptic feedback integration. Key interests include virtual reality applications for clinical practice, operator fatigue modeling in robot-assisted surgery, and stress response analysis in virtual environments. The fingerprint analysis confirms dominant expertise in minimally invasive surgery (76% weight) and virtual reality applications (25% weight). Recent publications reveal strong trends in mixed-reality medical imaging integration and neural network applications for surgical instrumentation. Her team develops decision support systems for robotic procedures while advancing human factors engineering in healthcare settings through fatigue modeling and stress induction studies. Scientific recognition includes: IEA Fellow (2024) As director of two major initiatives, Dr. Cao leads teams developing medical simulation tools that bridge engineering innovation with clinical practice. Her Applied Health Technology Initiatives program specifically creates translational solutions for surgical training and patient care enhancement through advanced simulation technologies.

• Systems and Networking
• Machine Learning
• Data Privacy
• +5 more

Reza Farivar is a Clinical Associate Professor at the University of Illinois at Urbana-Champaign, affiliated with the Siebel School of Computing and Data Science. He holds a BS in Electrical Engineering from Tehran Polytechnic University, an MS in Computer Engineering from Sharif University of Technology, and a PhD in Electrical and Computer Engineering from UIUC. His research focuses on Systems and Networking, with a strong emphasis on machine learning applications, data privacy, cybersecurity, and cloud computing. He has taught courses such as Cloud Computing Applications, Cloud Capstone, and Data Mining Capstone. Dr. Farivar's work spans innovative areas including synthetic data generation, encryption techniques, authentication systems, and automated interview processes. He has contributed to projects like texture warping-based encryption, CAPTCHA distortion using GANs, and secure multi-party computation for credit scoring. His publications often address challenges in data security, user privacy, and efficient system design. While no specific awards or grants are mentioned, his extensive list of patents highlights contributions to technologies like secure authentication, document deformation correction, and personalized content generation. His research integrates theoretical frameworks with practical applications, addressing modern challenges in computing systems and data science.

Maurizio ManuguerraView profile

Associate Professor

• Survival Analysis
• Competing Risks
• Ordinal Regression
• +3 more

Associate Professor Maurizio Manuguerra is the Head of Statistics at the School of Mathematical and Physical Sciences, Macquarie University. His research focuses on survival analysis, competing risks, ordinal regression, and transformation models. He has contributed to over 37 publications and holds an h-index of 14. His work includes collaborations in medical statistics and educational methodologies. Research Interests: Survival analysis and competing risks (penalized likelihood methods, Cox models), transformation models, and ordinal regression for continuous scales. These areas explore statistical methodologies with applications in medical and educational fields. Awards: Macquarie University Vice-Chancellor’s Citations for Outstanding Contributions to Student Learning (2012) Winner - Faculty of Science and Engineering Award for Inter-School Collaboration (2023) Advising & Grants: He leads research projects, such as 'What pathways lead to success? A study on Science Degrees' (2018–2019) and 'Latent variable models in Economics and clinical research' (2015). Focuses on early detection of students at risk and educational interventions. Labs/Teams: Engaged in interdisciplinary collaborations within the School of Mathematical and Physical Sciences, particularly in statistics and educational technology.

Jiahuan PeiView profile

Assistant Professor

• Artificial Intelligence
• Natural Language Processing
• Dialogue Systems
• +3 more

Dr. Jiahuan Pei is an Assistant Professor at the Vrije Universiteit Amsterdam, affiliated with the Faculty of Science's Department of Artificial Intelligence, the Network Institute, and Social AI. His research focuses on advanced AI applications in dialogue systems, natural language processing (NLP), and large language models (LLMs), with particular emphasis on clinical and therapeutic contexts. Recent work includes improving conversational recommendation systems, enhancing psychotherapy dialogue generation through motivational interviewing strategies, and developing multilingual dialogue management techniques. Key research topics include information retrieval robustness in LLMs, parameter-efficient fine-tuning methods (e.g., MELoRA), and the ethical integration of AI in healthcare. He has contributed to seminal studies on dialogue alignment, faithfulness metrics for citations, and perceptual quality in 3D point clouds. His work often bridges theoretical NLP advancements with practical applications in healthcare, education, and mixed reality environments. Pei's articles reflect a strong focus on innovation in dialogue systems, with over 15 peer-reviewed publications since 2020. He teaches the Project Conversational Agents course, emphasizing hands-on AI development. Collaborations span academic and industry partners, addressing challenges in cross-lingual communication, therapeutic AI, and multimodal training systems.

Aya MousaView profile

Associate Professor

• Diabetes Research
• Metabolic Disorders
• Reproductive Health
• +7 more

Dr. Aya Mousa is an Associate Professor and NHMRC biomedical research fellow leading the Diabetes, Metabolic and Reproductive Health research program at Monash University's Centre for Health Research & Implementation (MCHRI). With over 163 research outputs and 7 active projects, she directs a multidisciplinary team investigating insulin dysfunction across obesity, diabetes, PCOS, and pregnancy complications. Her educational background includes undergraduate and Honours studies in public health at the University of Auckland, where she graduated as Senior Scholar with top GPA honors. She earned her PhD in April 2018 focusing on vitamin D clinical trials for diabetes prevention, following which she secured a Postdoctoral Bridging Fellowship and NHMRC Early Career Fellowship within three months of conferral. Dr. Mousa's research centers on the pathophysiological mechanisms linking insulin dynamics, immune function, and hormone regulation. Her work spans mechanistic studies, clinical trials, and epidemiological research with emphasis on biomarker discovery and intervention efficacy. Current projects include lipidomic signatures for gestational diabetes prediction and metabolomic biomarkers in PCOS pregnancies. Her scientific contributions have been recognized through multiple awards including the Advancing Women's Research Success Award (2022), Australia New Zealand Obesity Society Early Career Award (2018), and nomination for the Victorian Premier's Award. She serves on editorial boards for Clinics and Practice and PeerJ , and reviews for international funding bodies including UK Research and Innovation. Advancing Women's Research Success Award (2022) Australia New Zealand Obesity Society Early Career Researcher Award (2018) Henry Krum Prize for Clinical Sciences Monash Health First Prize Endocrinology Clinical Research Award Victorian Premier's Award nomination Dr. Mousa actively supervises PhD students and leads the Collaboration for Enhancing Research Impact (CERI) as Executive Member. Her team maintains active collaborations with Ireland Health Research Board and international institutions. Media engagement includes radio interviews on vitamin D research and features in major news outlets discussing diabetes inflammation mechanisms.

Kathleen Helen SienkoView profile

Professor

• Sensory Augmentation
• Rehabilitation Engineering
• Biomechanics
• +4 more

Kathleen Helen Sienko is an Arthur F. Thurnau Professor and Professor of Mechanical Engineering at the University of Michigan, College of Engineering. She holds a Ph.D. in Medical Engineering and Bioastronautics from MIT and Harvard's HST program, an S.M. in Aeronautics & Astronautics from MIT, and a B.S. in Materials Engineering from the University of Kentucky. Her research focuses on sensory augmentation systems, rehabilitation engineering, and global health technologies. Notable projects include developing task-shifting medical devices for low-resource settings and establishing global health design programs. She co-leads the Sienko Research Group, which collaborates with international partners like Ghana's Komfo Anokye Teaching Hospital and Ethiopia's St. Paul's Hospital. Dr. Sienko has received prestigious awards, including the NSF CAREER Award and Miller Faculty Scholar Endowment. Her work emphasizes interdisciplinary approaches, combining engineering with clinical and cultural insights to address global health challenges. She has advised numerous students, including Ph.D. candidates Lucy Spicher and Anushka Rathi, and has led over a dozen undergraduate initiatives in Ghana. Her research portfolio spans 150+ publications, with recent work on vibrotactile feedback systems, balance training for older adults, and culturally appropriate medical device design. She also contributes to engineering education through innovative courses and curricula, such as the Global Health Design minor. Key collaborations include the Ethiopia-Michigan Platform for Advancing Collaborative Engagement and the NSF-funded Global Challenges grant. She has pioneered field sites in sub-Saharan Africa and Asia, fostering partnerships for sustainable healthcare solutions.

Sam BehsetaView profile

Professor

• Bayesian Statistics
• Neuroscience
• Biostatistics
• +4 more

Sam Behseta is a Professor of Statistics at California State University, Fullerton (CSUF), and a Fellow of the American Statistical Association. He serves as Director of the Center for Computational and Applied Mathematics (CCAM). He holds a PhD from Carnegie Mellon University, an MS from San Diego State University, and a BS from Tehran National University. His research focuses on Bayesian Statistics, Neuroscience, Biostatistics, Probabilistic Watermarking, and Education Data Modeling, with a strong emphasis on interdisciplinary applications. Recent scholarly work includes advancements in Bayesian modeling for neuroscience, innovations in GNSS technology, and educational initiatives to enhance data science training. His publications reflect collaborations across fields like telecommunications, immunology, and public health. Behseta has contributed to editorial roles for the CHANCE journal and the development of integrated research programs between CSUF and UC Irvine. Education: PhD, Carnegie Mellon University MS, San Diego State University BS, Tehran National University Research interests span statistical methodology, neuronal data analysis, and the integration of statistical education with modern computational tools. His work often addresses practical challenges in signal processing, satellite systems, and disease modeling, such as pulmonary coccidioidomycosis. Awards: Fellow of the American Statistical Association Behseta has directed grants supporting interdisciplinary initiatives, including the Big Data Science Training Program at a Minority Serving Institution. He actively promotes collaborations through CCAM and has advised on curriculum development for dual-language education programs in science and mathematics. He is affiliated with CSUF’s Department of Mathematics and leads the CCAM, fostering research in applied mathematics and computational methods. His professional network includes prominent statisticians like Hal Stern and Robert Kass, reflecting his role as an interviewer and collaborator in the field.

Alexander HeimerlView profile

Researcher

• Human-Centered Artificial Intelligence
• Social Robotics
• Emotion Recognition
• +3 more

Alexander Heimerl is a Researcher at the Chair for Human-Centered Artificial Intelligence, part of the Institute of Computer Science at the University of Augsburg. His work focuses on interdisciplinary research at the intersection of artificial intelligence, social robotics, and human-computer interaction. He is involved in projects such as FORSocialRobots, TherapAI, and the ForDigitStress dataset initiative, which aim to advance emotion recognition, stress detection, and explainable AI systems. His research interests include multimodal behavior analysis, personalized training systems, and computational models of social emotions. Notably, he contributed to the development of NOVA, a tool for explainable cooperative machine learning, and earned a Best Paper Award at ACII 2019 for his work on affective computing. He is affiliated with the Faculty of Applied Computer Science and collaborates with the Human-Centered AI team, including Prof. Dr. Elisabeth André and other researchers. His publications span topics like engagement estimation in social interactions, adversarial learning for feedback systems, and stress recognition via pupillometry.

Rune Møberg JacobsenView profile

Researcher

• Human-Computer Interaction
• Artificial Intelligence
• Large Language Models
• +4 more

Rune Møberg Jacobsen is a Postdoctoral Researcher in the Department of Computer Science at Aalborg University's Technical Faculty of IT and Design, affiliated with the Human-Centered Computing group and AAU BLUE – Marine & Maritime Research center. His work focuses on human-computer interaction with applications in domestic audio environments and healthcare systems. His research spans Human-Computer Interaction, Artificial Intelligence, and Spatial Audio, emphasizing sound zone technologies, large language models for data collection, and user experience in real-world settings. He investigates how interactive systems can resolve domestic audio conflicts and enhance healthcare processes through field studies and user-centered design. Recent publications reveal a clear trajectory toward practical AI applications: sound zone management for personalized home audio, chatbots for survey data collection, and tangible generative AI tools for children's literacy education. His work consistently combines technical innovation with empirical user studies across domestic and medical contexts. Jacobsen contributes to significant projects including the active Telehealth Care Pathway for chronic pain management after knee replacement and the completed ISOBEL project on interactive sound zones. These initiatives demonstrate his interdisciplinary approach through collaborations with medical professionals, engineers, and industry partners on real-world implementation challenges.

Aldert VrijView profile

Professor

• Deception
• Lie Detection
• Forensic Psychology
• +3 more

Professor Aldert Vrij is a leading academic in the field of Deception and Lie Detection at the University of Portsmouth, affiliated with the School of Psychology, Sport and Health Sciences and the International Centre for Research in Forensic Psychology. With over 600 publications and 30,000 citations, his work focuses on verbal and nonverbal cues to deception , interview protocols , and practitioner collaboration with police, security, and insurers. His book "Detecting Lies and Deceit: Pitfalls and Opportunities" (Wiley) synthesizes decades of research. Education : PhD (1991) from Vrije Universiteit Amsterdam. Research Trends : Recent articles (2024-2025) explore Devil’s Advocate protocols , Enhanced Ghostwriter Lie Detection Tools , omission lie analysis , and cognitive load effects in forensic interviews. Subfields include cross-cultural deception , automated coding , and information elicitation . Scientific Awards : 2016: International Investigative Interviewing Research Group (iiiRG) Lifetime Achievement Award Grants : Funded by British Research Councils, FBI, and governments of the UK, Netherlands, USA, and Singapore, totaling over $11.5 million. Collaborates extensively with police , security services , and insurance agencies to translate research into practice.

• Forensic Psychology
• Statement Analysis
• Intellectual Disability and Sexualized Violence
• +6 more

Susanna Niehaus is a Professor at the Lucerne School of Social Work (HSLU SA), Switzerland, and Head of the Competence Centre for Deviance, Violence, and Victim Aid. She holds a PhD in Psychology (Dr. rer. nat.) from the University of Osnabrück and a Diplom in Psychology. Her career includes roles as a lecturer in criminology and psychology at institutions like the University of Bonn and the University of Potsdam. Education & Professional Activities: 2008: Professor at Lucerne School of Social Work 2000: PhD in Psychology, University of Osnabrück 1996: Diplom in Psychology 1991-1996: Studies in Psychology at Universities of Osnabrück and Athens Research Interests: Her work focuses on forensic psychology, deception strategies, and the intersection of social work and legal systems. Key topics include child testimony evaluation, victims with intellectual disabilities, secondary victimization prevention, and improving investigative interviewing techniques. She advocates for evidence-based standards in criminal proceedings and critiques systemic biases affecting vulnerable populations. Projects & Contributions: Virtual Kids: Using virtual characters to enhance child interview quality Evaluation of prevention programs for individuals with pedophilic interests Analysis of criminal justice responses to intellectual disability in cases of sexual abuse Critique of emotional argumentation undermining victim interests in legal contexts Advising & Grants: She advises on legal reforms and has led projects funded by Swiss and German institutions. Her work with the Competence Centre addresses violence prevention and victim aid strategies. Labs/Teams: Leads the Competence Centre for Deviance, Violence, and Victim Aid at HSLU SA, fostering interdisciplinary collaboration in forensic social work and legal psychology.

Adam EckView profile

Associate Professor

• Multiagent Systems
• Machine Learning
• Computational Social Science
• +3 more

Adam Eck is the David H. and Margaret W. Barker Associate Professor of Computer Science and Chair of the Data Science Integrative Concentration at Oberlin College’s College of Arts & Sciences. His research focuses on multiagent decision-making in complex environments, machine learning applications in computational social science and public health, and AI-driven solutions for challenges such as wildfire suppression, cybersecurity, and survey informatics. He teaches courses like Applied Machine Learning (CSCI/DATA 373) and Data Science Research (DATA 501). Key research projects include developing AI systems for open multiagent environments, using machine learning to address public health crises (e.g., opioid epidemic, COVID-19), and leveraging chatbots to enhance survey design. Eck has pioneered work on decision-theoretic planning for autonomous systems and has explored innovative sampling methods for social media platforms like Twitter. His work bridges computer science with interdisciplinary domains, emphasizing ethical and practical applications of AI. Notable contributions include collaborations on automated decision-making frameworks funded by NSF grants and the development of algorithms for community-level health analysis. Eck was recognized as a Scientific Teaching Fellow by Yale’s Summer Institute in 2018 for advancing inclusive pedagogical practices. Recent publications highlight breakthroughs in generative AI for survey design, scalable multiagent planning, and the integration of Big Data with traditional survey science. His research often addresses societal challenges through technical innovation, reflecting a commitment to both academic rigor and real-world impact.

Roberta SpelorziView profile

Lecturer

• Bilingualism
• Language Attrition
• Second Language Acquisition
• +3 more

Roberta Spelorzi is a Lecturer and PhD candidate in Linguistics and English Language at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. Her research focuses on bilingualism across the lifespan, specifically language attrition and second language acquisition, with a psycholinguistic approach examining populations like attriters and heritage speakers. She holds an Associate Fellowship of the Higher Education Academy (AFHEA) and is completing a PGCert in Academic Practice. Teaching roles include undergraduate courses at the School of Philosophy, Psychology & Language Sciences (Second Language Acquisition, First Language Acquisition) and School of Literatures, Languages and Cultures (Italian 1). She has also been a Teaching Fellow in Italian at the Centre for Open Learning since 2017. Her work with Bilingualism Matters Centre emphasizes public engagement through workshops on multilingualism. Research interests center on the interplay between first language attrition and second language acquisition, using experimental methods to study Italian and English speakers. Key areas include heritage language maintenance, generational attrition, and multilingual classroom dynamics. Recent conference contributions highlight her exploration of clitic pronoun production in heritage speakers and language transmission patterns. Her teaching and research emphasize inclusive pedagogy, particularly in hybrid settings, and bridge cognitive, sociocultural, and sociolinguistic perspectives to enhance bilingual education. She collaborates with Prof. Antonella Sorace and Dr. Patrick Sturt, contributing to both academic and community-oriented projects.

• Communication
• Law
• Courts and Testimonies
• +4 more

Prof. Vincent Denault is an Assistant Professor at the University of Montreal’s School of Criminology, affiliated with the Faculty of Arts and Sciences. He holds a Ph.D. in Communication (2020) and a Master of Laws (2015). His research focuses on witness credibility, deception detection, and nonverbal communication in legal contexts. He co-founded the Center for Studies in Nonverbal Communication Sciences and the Deception Research Society. Beyond academia, he works as a lawyer, coroner, and scientific consultant. Education: Bachelor of Law (2007), University of Quebec at Montreal Master of Laws (2015), University of Quebec at Montreal Ph.D. in Communication (2020), University of Montreal Research Interests: Denault’s work critiques pseudoscientific practices in deception detection, emphasizing empirical approaches. He explores courtroom dynamics, child testimony, and the role of nonverbal cues in legal decision-making, advocating for evidence-based practices. Articles Trends: Recent work addresses virtual trials, automatic lie detection, and cross-cultural judicial practices. He frequently collaborates with institutions like McGill University and the University of California, Santa Barbara. Awards: 2019 Excellence in Teaching Award (University of Montreal). Grants & Advising: While no grants are explicitly listed, his roles as a postdoctoral researcher and consultant highlight external funding potential. He advises on legal cases and forensic methodologies. Labs/Teams: Director of the Human Behavior and Justice Research Lab, focusing on interdisciplinary approaches to improve judicial systems.