Find Academic Supervisors

• Human-Computer Interaction
• Virtual Reality
• Social Virtual Reality
• +4 more

Giulio Jacucci is a Professor in the Department of Computer Science at the University of Helsinki, affiliated with the Helsinki Information Technology Research Institute. He serves as a Supervisor in the Doctoral Programme in Computer Science, mentoring PhD candidates in human-computer interaction and related fields. His academic career spans over two decades with continuous research productivity from 2006 through 2025. Professor Jacucci's research interests center on Human-Computer Interaction , particularly focusing on Virtual Reality , Brain-Computer Interfaces , and Neuroadaptive Systems . His work explores how technology can adapt to users' cognitive and physiological states, with significant contributions to social virtual reality environments, embodied agents, and information retrieval systems. He investigates how virtual representations affect social behavior, time perception, and communication in digital spaces. His publication record shows a clear evolution from foundational work in information retrieval toward increasingly sophisticated neuroadaptive systems. Recent publications (2024-2025) demonstrate his leadership in examining social dynamics within virtual reality platforms, including votekicking mechanisms, mirror watching behaviors, and communication tools like mutes. His work bridges technical innovation with deep understanding of human social behavior in digital environments. Professor Jacucci currently leads multiple research projects funded by the Academy of Finland, including DataLit: Datalukutaito ja vastuullinen päätöksenteko (2023-2026) and MyModel: Selitettävyys suositusten hallinnassa (2023-2027). These projects focus on data literacy, responsible decision-making, and explainability in recommendation systems, reflecting his commitment to ethical and user-centered technology development. His research has received media attention, particularly around brain-computer interfaces and virtual reality applications, with coverage in outlets discussing how deep learning transforms mobile applications and sensor landscapes. He has presented his work at major conferences including CHI 2017 and continues to be an active contributor to the international research community.

Markus HeiligView profile

Professor

• Addiction Neuroscience
• Alcohol Dependence
• Neuropharmacology
• +4 more

Markus Heilig is a Professor of Psychiatry and Head of the Department of Biomedical and Clinical Sciences (BKV) at Linköping University. He serves as Director of the Center for Social and Affective Neuroscience (CSAN), integrating basic and clinical neuroscience to address addictive and affective disorders. His work bridges neuropharmacology, molecular psychiatry, and clinical trials. Linköping University (Current) Center for Social and Affective Neuroscience (CSAN) (Director) Wallenberg Center for Molecular Medicine (Collaborator) His research focuses on alcohol dependence mechanisms, stress-neurotransmitter interactions (e.g., CRF, substance P, endocannabinoids), and personalized medicine approaches. Using animal models and human neuroimaging (fMRI), his lab explores epigenetic changes in frontal lobe and amygdala neurons that drive compulsive alcohol use. Recent publications highlight his work on endocannabinoid modulation for PTSD treatment, neural correlates of reward choices, and pharmacological interventions targeting GABA and opioid receptors. His studies often combine brain imaging, behavioral analysis, and pharmacology. Scientific awards include the 2019 Wallenberg Clinical Scholar grant and 2017 CAN/Nordic Drugs prizes. Heilig's research is supported by Vetenskapsrådet (SEK 57 million center funding) and international donations like the Andrew J. Bock Memorial Fund.

Andrew ErwinView profile

Assistant Professor

• Physical Human-Robot Interaction
• Rehabilitation Robotics
• Bio-inspired Robotics
• +3 more

Dr. Andrew Erwin is an Assistant Professor in Mechanical Engineering at the University of Cincinnati, focusing on robotics, human-robot interaction, and rehabilitation engineering. He holds a PhD and MS from Rice University (2018, 2014) and a BS from the University of Massachusetts Amherst (2012). Prior to UC, he was a postdoc at the University of Southern California and the Jet Propulsion Laboratory. His research explores how forces and movements are executed in healthy individuals, and how robotic devices can assist or restore function post-injury. Key areas include rehabilitation robotics, bio-inspired systems, haptic interfaces, and motor learning. He has received prestigious awards such as the NASA Postdoctoral Program Fellowship (2018) and the IEEE/ASME Transactions on Mechatronics Best Paper Award (2017). Dr. Erwin’s work integrates biomechanics, control systems, and neurophysiology. His lab develops devices like the SE-AssessWrist for wrist assessment and explores planetary seismometers for space missions. He maintains an active Google Scholar profile with over 25 publications. Education: PhD, Mechanical Engineering, Rice University, 2018 MS, Mechanical Engineering, Rice University, 2014 BS, Mechanical Engineering, University of Massachusetts Amherst, 2012 His current research emphasizes curriculum design for robotics learning, human-robot collaboration, and adaptive control systems. He offers a PhD position for Fall 2025 focusing on these areas.

Kristen PleilView profile

Associate Professor

• Neuroscience
• Pharmacology
• Neuropharmacology
• +4 more

Kristen Pleil is an Associate Professor at Weill Cornell Medicine in the Graduate School of Medical Sciences, affiliated with the Department of Pharmacology and Neuroscience. She serves as Co-director of the NIGMS-sponsored Training in Pharmacological Sciences (TIPS) predoctoral T32 program. Academic Appointments: Assistant Professor (2016), Associate Professor (2021) Education: BA in Psychology (Emory University, 2005), PhD in Neuroscience (Duke University, 2010), Postdoc at University of North Carolina School of Medicine Research Focus: The Pleil lab investigates how sex and stress hormones regulate alcohol/substance use, stress responsivity, and affective behavior through neuropeptidergic brain circuits and hormone-neuropeptide signaling. Key projects include estrogen's role in alcohol drinking and anxiety, opioid receptor signaling in reward/aversion learning, and sex-dependent thalamic control of stress responses. The lab uses in vivo and ex vivo mouse models to study synaptic/epigenetic plasticity across developmental stages. Publications Trends: Her work spans molecular pharmacology, neurophysiology, and addiction research with a focus on sex differences in neuropsychiatric diseases. Articles cover topics like estrogen signaling in binge drinking, opioid-context memory, thalamic circuits in stress response, and optogenetic tools for receptor imaging. Scientific Awards: President’s Young Investigator Award, ISBRA (2013) Elizabeth Young New Investigator Award, OSSD (2015) K99/R00 Pathway to Independence Award, NIAAA (2015) Kellen Foundation Junior Faculty Fellowship (2016) NARSAD Young Investigator Award (2017) Early Career Investigator Award, NIDA-NIAAA (2017) Training and Collaborations: As Co-director of the TIPS T32 program, she mentors graduate students in pharmacological sciences. Her collaborations include researchers at UNC, Duke, and Weill Cornell, with grants from NIAAA, NIMH, and NIGMS.

Natalie D. EddingtonView profile

Professor

• Pharmacokinetics
• Drug Delivery Systems
• Biopharmaceutics
• +3 more

Dr. Natalie D. Eddington is Professor and Dean Emeritus at the University of Maryland School of Pharmacy, where she previously chaired the Department of Pharmaceutical Sciences. Her expertise spans pharmacokinetics, drug delivery, and regulatory science, with research focusing on optimizing drug therapy for cancer, epilepsy, and substance abuse disorders. Her laboratory investigates drug transport mechanisms (particularly P-glycoprotein), opioid pharmacokinetics, and maternal-fetal drug distribution. Seminal work includes characterization of Salvinorin A metabolism, P-gp regulation by hormones, and methadone's effects on drug-metabolizing enzymes. Her FDA-supported research on Scale-Up and Post Approval Changes (SUPAC) guidances significantly reduced regulatory burdens for pharmaceutical manufacturers. As dean, she established multiple research centers including the Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI) and pioneered the School's pharmapreneurism initiative. An elected fellow of AAPS and ACCP, she has authored over 125 publications and developed international regulatory training programs.

Anthony SaliView profile

Assistant Professor

• Cognitive Psychology
• Neuroscience
• Attention Mechanisms
• +3 more

Anthony Sali is an Assistant Professor of Psychology at Wake Forest University's College of Arts & Sciences. His research focuses on cognitive control mechanisms, attentional flexibility, and neural substrates of behavior. He explores how attentional systems adapt to environmental demands and how these processes are disrupted in developmental disorders like ADHD. Key research areas include: Neural bases of sustained attention and cognitive readiness Strategic adaptation in attentional control Impact of reward and reinforcement learning on attention Developmental differences in attentional capture His work employs neuroimaging (fMRI/electrophysiology) and behavioral paradigms to investigate topics like: Cognitive flexibility and decision-making Allostasis and resilience mechanisms Attentional bias in clinical populations Recent publications highlight his contributions to understanding attentional dynamics, with 2023-2024 work emphasizing neural plasticity in adaptive attention systems. No major awards or external grants are listed in the provided materials.

Dani S. BassettView profile

Professor

• Network Science
• Complex Systems
• Brain Connectivity
• +5 more

Dani S. Bassett is the J. Peter Skirkanich Professor at the University of Pennsylvania with primary appointment in the Department of Bioengineering (School of Engineering and Applied Science) and secondary appointments in Physics & Astronomy, Electrical & Systems Engineering, Neurology, and Psychiatry. They serve as an external professor at the Santa Fe Institute and lead a research group focused on complex systems and network science. B.S. in Physics, Penn State University (2004) Ph.D. in Physics, University of Cambridge as Churchill Scholar and NIH Health Sciences Scholar (2009) Postdoctoral position at UC Santa Barbara and Junior Research Fellow at Sage Center for the Study of the Mind Their research integrates complex systems science, statistical mechanics, and applied mathematics to study network dynamics in physical and biological systems. Key areas include brain connectivity mechanisms, cognitive processes, neurological disease modeling, granular matter physics, and collective human curiosity. Bassett employs advanced methodologies including algebraic topology, network control theory, and multilayer network analysis to investigate how network architecture influences system function across diverse domains. Recent publications reveal a strong trend toward interdisciplinary network science applications, particularly in modeling human curiosity through Wikipedia navigation patterns and analyzing brain network reconfiguration during cognitive development. Their work bridges physics, neuroscience, and behavioral science with emphasis on topological network properties and dynamical processes. American Psychological Association's Rising Star (2012) MacArthur Fellow Genius Grant (2014) Lagrange Prize in Complex Systems Science (2017) Erdos-Renyi Prize in Network Science (2018) American Physical Society Fellow (2021) Web of Science Highly Cited Researcher (3 consecutive years) Bassett's research is supported by major agencies including NSF, NIH, DoD, ONR, and private foundations (MacArthur, Sloan, Paul Allen). Their lab actively recruits students from physics, engineering, neuroscience, and computer science backgrounds, emphasizing diversity in academic perspectives. Current projects include the 'Curious Minds' initiative exploring collective knowledge building and network-based models of neurological disorders. Bassett co-authored the MIT Press book 'Curious Minds: The Power of Connection' with philosopher Perry Zurn.

Robert J.K. JacobView profile

Professor

• Human-Computer Interaction (HCI)
• Brain-Computer Interfaces (BCI)
• User Interface Design
• +5 more

Robert J.K. Jacob is a Professor of Computer Science at Tufts University, affiliated with the School of Engineering's Department of Computer Science. His research focuses on Human-Computer Interaction (HCI), particularly implicit brain-computer interfaces (BCI) using fNIRS and EEG technologies. He has held visiting positions at University College London, Université Paris-Sud, and MIT Media Lab. Education: Ph.D. in Computer Science from Johns Hopkins University. Research Interests : Jacob's work explores novel interaction techniques, adaptive interfaces, and BCI applications. Current projects emphasize real-time fNIRS-based systems for effortless user input, cognitive workload assessment, and neuroadaptive technologies. His lab investigates how brain signals can enhance user interfaces in domains like music learning, gaming, and urban design. Recent Trends in Articles : Recent publications highlight advancements in BCI design, neuroadaptive systems, and interdisciplinary applications of fNIRS. Work spans theoretical frameworks (e.g., NeuroCHI ethics) to practical tools like the Tufts fNIRS dataset. Key themes include improving BCI calibration, exploring AI's role in urban environments, and integrating affective computing into artistic interfaces. Awards : ACM Fellow (2016) ACM CHI Academy Membership (2007) Best Paper Award at CHI 2016 Advising & Grants : Supervised 15+ Ph.D. alumni in HCI and BCI. Served as Vice-President of ACM SIGCHI and co-chair of UIST/CHI conferences. Active in editorial roles for Human-Computer Interaction and ACM Transactions on Computer-Human Interaction . Labs & Teams : Directs the Tufts HCI Lab in the Joyce Cummings Center. Collaborates with interdisciplinary teams on projects like the Marble Track Audio Manipulator and Reality-Based Interaction Framework.

Marvin DiazView profile

Associate Professor

• Neurodevelopment
• Prenatal drug exposure
• Substance use disorder
• +3 more

Marvin Diaz is an Associate Professor and Behavioral Neuroscience Area Head at the Department of Psychology, Binghamton University. His research focuses on understanding neurobiological and behavioral alterations caused by early developmental insults such as prenatal drug exposure, with emphasis on sex differences. He employs advanced techniques including electrophysiology, optogenetics, and molecular biology. His work addresses mechanisms underlying anxiety disorders, substance misuse, and neurodevelopmental trajectories. Education: PhD and MA from Wake Forest University School of Medicine, BS from University of NC at Wilmington. Research Interests: Neurodevelopment, prenatal drug exposure, substance use disorder, neural circuits, and the role of sex as a biological variable. Key Findings: Demonstrated that prenatal methadone/alcohol exposure alters amygdala function, GABAergic transmission, and ethanol intake behavior in sex-dependent ways. Highlighted cytokine modulation of adolescent neurophysiology and stress-related behaviors. Awards: SUNY Faculty Diversity Award (202?), Gordon Conference Minority Fellowship (202?), Dean’s Research Semester Award (202?). Labs: Director of the Alcohol Development Lab. Active in studying developmental neurotoxicology and stress-anxiety interactions.

Carryl BaldwinView profile

Professor

• Neuroergonomics
• Aging Studies
• Human Factors Psychology
• +5 more

Carryl Baldwin is the Carl and Rozina Cassat Distinguished Professor of Aging & Regional Institute on Aging and Director of the Wichita Auditory Research Group (WARG) at Wichita State University's Fairmount College of Liberal Arts and Sciences. Her work spans neuroergonomics, aging research, auditory cognition, and human-vehicle interface design, with funding from NHTSA, NIH, NASA, and private industry partners. Education : PhD in Human Factors Psychology (1997), MA in Human Factors Psychology (1994), BA in Psychology/Asian Studies (1987) Dr. Baldwin's research focuses on human interaction with automation , particularly in transportation contexts. She investigates driver attention, mind wandering, cognitive workload, and multimodal alarm systems using physiological metrics like EEG. Her lab explores aging-related cognitive changes and develops technologies to enhance safety and performance in semi-autonomous systems. The 15 most recent publications reveal trends in neuroergonomics , aging populations , and automated vehicle safety . Key themes include attention management in automation, auditory alarm optimization, and sustainability applications of human factors, with methodologies spanning EEG analysis, eye-tracking, and multimodal interface evaluation. Dr. Baldwin's lab has secured external funding from the National Highway Traffic Safety Administration, NIH-NIA, NASA centers, and defense contractors like Northrop Grumman. Current research includes driver vigilance in Level 2/3 vehicles, pandemic-related social isolation in older adults, and FAA-funded training technology evaluation.

Surjo R. SoekadarView profile

Professor

• Clinical Neurotechnology
• Brain-Computer Interfaces (BCI)
• Neuromodulation
• +8 more

Surjo R. Soekadar is the Einstein Professor of Clinical Neurotechnology at Charité – University Medicine Berlin. He leads the Clinical Neurotechnology Laboratory , which focuses on developing noninvasive neurotechnologies for treating neurological and psychiatric disorders through closed-loop brain stimulation and advanced brain-machine interfaces (BCI/BMI). His work integrates real-time EEG/MEG monitoring with electromagnetic stimulation to modulate pathological brain oscillations and enhance neuroplasticity in conditions like stroke, spinal cord injury, and psychiatric disorders. Education : Studied medicine in Mainz, Heidelberg, and Baltimore Clinical Training : Residency in Psychiatry and Psychotherapy at University of Tübingen Academic Journey : 2008-2011 Research Fellow at NINDS (USA); 2017 Venia Legendi at University of Tübingen; 2018 First Professor of Clinical Neurotechnology in Germany His research interests span: • Closed-loop neurostimulation combining real-time brain state monitoring with targeted intervention • Next-generation BCI using optically pumped magnetometers (OPM) for mobile MEG recordings • Neurorehabilitation through exoskeleton control and sensory feedback • Neurophysiological modeling of entropy measures and phase flows Recent publications highlight: • Adaptive deep brain stimulation protocols • Real-time phase-sensitive tACS applications • OPM-based BCI innovations • Stroke recovery mechanisms through corticospinal tract analysis Scientific recognition includes: International BCI Research Award BIOMAG Award NARSAD Young Investigator Award Funded by the European Research Council (ERC) , his lab trains doctoral students like David Haslacher (EEG/MEG integration), Khaled Nasr (multicoil TMS optimization), and Annalisa Colucci (entropy-driven BCI development). The team also explores quantum AI applications in clinical decision-making and bidirectional BCI systems using OPM and tES.

Robert JacobView profile

Professor

• Human-Computer Interaction
• Brain-Computer Interfaces
• Implicit Interaction Techniques
• +3 more

Robert Jacob is a Professor of Computer Science at Tufts University's School of Engineering, where he leads research in human-computer interaction with particular focus on implicit brain-computer interfaces. His work bridges computer science, cognitive science, and interface design to create adaptive systems that respond to users' cognitive states without explicit input. His educational background includes a Ph.D. from Johns Hopkins University. Professional milestones include: ACM CHI Academy membership (2007) ACM Fellow designation (2016) Leadership roles as ACM SIGCHI Vice President and conference chair for CHI, UIST, and TEI Professor Jacob's research centers on implicit interaction techniques, particularly using fNIRS brain sensing to create adaptive interfaces. His work has evolved from foundational studies in reality-based interaction and tangible programming to current neuroadaptive systems that measure cognitive workload in real-time. This research spans domains including music learning, museum education, and general user interface adaptation. His publications reveal consistent focus on brain-computer interfaces since 2012, with increasing sophistication in physiological measurement and machine learning techniques. Recent work integrates multiple physiological signals beyond brain data to create comprehensive user state models. Major recognitions include: CHI 2016 Best Paper Award for music learning research CHI 2014 and 2012 Best Paper Honorable Mentions Keynote addresses at major conferences including Neuroadaptive Technology Conference (2017) Extensive media coverage in New Scientist, IEEE Computer, and Boston Globe Professor Jacob has mentored 17 PhD students who now hold faculty positions at institutions including Worcester Polytechnic Institute, Northwestern University, and Carleton University. His HCI Lab, located in the Joyce Cummings Center, receives funding from NSF and other sources supporting neuroadaptive interface research. Current projects focus on broadening implicit interaction to include multiple physiological measurements while maintaining user privacy and system transparency.

Melissa CarasView profile

Assistant Professor

• Auditory Neuroscience
• Perceptual Learning
• Neuroplasticity
• +3 more

Melissa Caras is an Assistant Professor in the Department of Biology at the University of Maryland, with an affiliation in the Department of Hearing and Speech Sciences. She holds a B.S. in Neuroscience and Biology from Brandeis University and a Ph.D. in Neurobiology and Behavior from the University of Washington. Her postdoctoral training at New York University focused on auditory development and perceptual learning. Her research explores neural mechanisms of auditory learning and plasticity, employing techniques like electrophysiology, optogenetics, and telemetry. Research interests include auditory neuroscience, perceptual learning, neuroplasticity, and cognitive neuroscience. Her work emphasizes top-down modulation of sensory processing and the impact of non-sensory factors on auditory learning. Recent studies investigate orbitofrontal-auditory pathways in gerbils and neural correlates of perceptual plasticity in auditory circuits. Current students include Ying, Rose and Marissa, Renee. The CarasLab website (caraslab.org) highlights her lab’s focus on sensory plasticity mechanisms. No scientific awards are explicitly mentioned, but her research has contributed to understanding developmental hearing loss and neural variability in adolescents.

Colin ConradView profile

Associate Professor

• Artificial Intelligence
• Cognitive Neuroscience
• Educational Technology
• +3 more

Colin Conrad is an Associate Professor of Digital Innovation at Dalhousie University’s Faculty of Management. He also serves as Co-Director of the College of Digital Transformation and Principal of the Cognition and Organizations Research Group. His research focuses on interdisciplinary projects spanning information systems, computer science, and cognitive neuroscience, with particular emphasis on human factors in educational technology and artificial intelligence. His work is supported by NSERC, CFI, and Mitacs. Research interests include mind wandering measurement via EEG, AI ethics, human-AI interaction, and neurophysiological impacts of digital technologies. He explores topics such as virtual teacher perception, privacy calculus in AI systems, and cognitive state awareness in human-AI collaboration. His recent studies address challenges in remote work ergonomics, digital transformation during crises, and legal/ethical aspects of brain-computer interfaces. His publications analyze behavioral responses to cybersecurity notifications, virtual influencer trust dynamics, and adaptive online learning systems. Current projects investigate the cognitive effects of AI-generated media and the neurophysiological foundations of attention in digital environments. Colin’s research is funded through grants emphasizing interdisciplinary innovation and societal impact. He collaborates with industry partners to translate neuroscientific insights into practical applications in education and workplace design.

Alexei VernitskiView profile

Senior Lecturer

• Artificial Intelligence
• Knot Theory
• Algebra
• +3 more

Dr. Alexei Vernitski is a Senior Lecturer in the School of Mathematics, Statistics and Actuarial Science (SMSAS) at the University of Essex. His research focuses on applying artificial intelligence (including reinforcement learning and deep learning) to mathematical problems in knot theory, algebra (e.g., braid theory), and universal algebra. He also explores mathematics education, particularly enhancing student motivation. Previously, he worked in the financial sector as a programmer and as a computer science lecturer. His research interests span AI-driven knot theory, algebraic structures (semigroups, groups), and mathematics education. Notable areas include the application of neural networks to braid untangling, automated reasoning in knot diagrams, and cognitive studies on math anxiety using EEG. He has supervised PhD students in mathematics education, universal algebra, and computer science applications of mathematics. His recent work demonstrates trends in combining machine learning with topological and algebraic problems, emphasizing practical AI solutions for abstract mathematical challenges. His articles reflect interdisciplinary approaches, merging computer science techniques with pure mathematics. Dr. Vernitski has advised multiple PhD students, contributing to diverse fields from knot theory to educational technology. His work bridges theoretical mathematics with real-world applications, such as optimizing data transmission and enhancing learning systems through neuroadaptive methods.