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Christian MicheloniView profile

Associate Professor

• Pattern Recognition
• Active Vision
• Neural Networks
• +3 more

Christian Micheloni is an Associate Professor at the University of Udine's Department of Mathematics and Computer Science. He holds a Laurea (cum Laude) and Ph.D. in Computer Science from the University of Udine (2002 and 2006 respectively). His research focuses on Active Vision, Pattern Recognition, and Resource Aware Networks. He has been involved in European projects like MUSAS (2008-2010) and HAMLet (2006-2008), and collaborates with international research centers and industry. Key research areas include person re-identification using neural networks, trajectory analysis, and camera network optimization. He has received the Best Paper Award at the International Conference on Distributed Smart Cameras (2014) and serves as an editor for the IEEE Journal of Selected Topics in Signal Processing. His work emphasizes real-time surveillance systems and adaptive sensor networks to manage computational and power constraints. Micheloni teaches courses like Artificial Vision and advises post-doctoral researchers. He maintains an active lab (AVires Lab) and offers post-doctoral positions. His publications span journals like IEEE Transactions on Pattern Analysis and Machine Intelligence, and conferences such as CVPR and ICCV.

• Computer Vision
• Multimodal Learning
• Audio-Visual Perception
• +4 more

Yapeng Tian is an Assistant Professor of Computer Science at the Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas. His work focuses on advancing core computer vision and audition technologies with applications in AR/VR, healthcare, and human-computer interaction. He holds a PhD from the University of Rochester (2022) and dual engineering degrees from Tsinghua University (2017) and Xidian University (2013). Research Interests: Multisensory perception Audio-visual learning Diffusion models Medical imaging Accessibility technologies Awards: Amazon Research Award (2024) UIST Best Paper Award (2024) Cisco Faculty Research Award (2023) AAAI New Faculty Highlights (2023) Recent work emphasizes efficient multimodal systems, with publications in top venues like CVPR, ICCV, and ICLR. His research bridges theoretical advances with practical applications in healthcare, accessibility, and interactive systems.

• Cognitive Science
• Psychology
• Statistics
• +3 more

Fernando Marmolejo-Ramos is an Adjunct Research Associate at the University of South Australia (UniSA) and a Research Fellow at Flinders University, affiliated with the College of Education, Psychology, and Social Work. He holds a PhD in Psychology from the University of Adelaide (2011) and prior postdoctoral and visiting research roles at institutions like Stockholm University and the University of Adelaide. His research focuses on cognitive psychology, embodied cognition, and statistical methodologies, with a particular interest in language comprehension, cross-modal perception, and reaction time analysis. He actively collaborates with international researchers in areas like autism spectrum disorder detection through electroretinography and AI-driven educational interventions. Research Interests: Language and emotion embodiment, statistical cognition, reaction time analysis, and the application of advanced statistical methods in psychology. He has contributed to frameworks addressing statistics anxiety and innovative AI applications in healthcare and education. Key Collaborations: Works with institutions globally, including the University of Toronto, the Catholic University of Murcia, and the University of Connecticut, focusing on interdisciplinary projects in cognitive science, education, and biomedical informatics. Professional Contributions: Serves as a Research Degree Supervisor, advocating for evidence-based statistical practices. His work bridges cognitive theory with practical applications, such as improving diagnostic tools via ERG analysis and enhancing educational strategies through embodied learning theories.

Mei SiView profile

Associate Professor

• Artificial Intelligence
• Virtual Reality
• Serious Games
• +7 more

Mei Si is an Associate Professor in the Department of Cognitive Science at Rensselaer Polytechnic Institute (RPI) and serves as the Graduate Program Director for Critical Game Design. She specializes in artificial intelligence applications for virtual and mixed realities, including interactive narratives, embodied conversational agents, and serious games. Her work includes the award-winning Tactical Language Training System for military language/culture education, and VR-based therapies for children with ADHD. Si’s research bridges computer science, cognitive science, and education, focusing on immersive environments for learning and behavioral change. Education: No formal education details explicitly stated in text. Research Interests: Dr. Si’s research emphasizes interactive narrative systems, AI-driven conversational agents, and VR/AR applications in education and health. She explores how user interaction enhances learning efficacy, particularly through serious games and virtual interventions. Recent projects include mindfulness therapy apps, drug discovery games (CureQuest), and emotion-aware AI systems. She investigates human-AI interaction, including theory of mind modeling and ethical alignment frameworks. Publications: Over 50 peer-reviewed articles since 2011. Recent trends include quantum reinforcement learning, LLM applications in education, VR gaming therapies, and cepstrum-based audio modeling. Her work spans interdisciplinary domains like health informatics, robotics, and cybersecurity. Awards: Military-funded Tactical Language Training System recognized as award-winning, though specific awards not named. Her contributions to game-based medical education and interactive storytelling have garnered field-wide acclaim. Grants & Advising: Lead developer of U.S. military-funded language training systems. Collaborates on NIH-funded HIV prevention games (e.g., SOLVE project). Supervises projects in quantum-ML, mindfulness apps, and cross-cultural education tools. Active in conference organizing (e.g., AIIDE, ICIDS). Labs/Teams: Leads RPI teams developing immersive learning platforms and health-tech solutions. Co-develops CureQuest and SpeakEasy language training tools. Engages in multidisciplinary collaborations spanning engineering, psychology, and public health.

Thom BaguleyView profile

Professor

• Psychological Statistics
• Spatial Cognition
• Face and Voice Processing
• +3 more

Thom Baguley is a Professor of Experimental Psychology and Director of Psychological Research at the School of Social Sciences, Nottingham Trent University (NTU). He also serves on NTU's Psychology department and Athena SWAN Self-Assessment Team. His career includes roles at Loughborough University and other UK institutions since completing his PhD from the Open University in 1994. Research focuses on human cognition, including spatial memory, face/voice processing, and statistical modeling in behavioral/social sciences. He authored the textbook Serious Stats (2012) and previously edited the British Journal of Mathematical and Statistical Psychology . His work appears in top journals like Cognitive Psychology and Psychological Review . Key research interests include: cognitive models of memory, statistical methodology in psychology, forensic applications of psychological science, and cybercrime-related behavior. Recent work examines prison population outcomes, e-scooter risk perception, and mental health professional resilience during crises. Professional activities include roles with the British Psychological Society (Research Board Deputy Chair, Statistics Advisory Panel), ESRC Peer Review College, and editorial boards for Scientific Data and Cogent Psychology . Funded projects involve ESRC, HEFCE, and EU grants focusing on educational technology, criminal justice systems, and cyber victimization. His research outputs demonstrate interdisciplinary impact bridging cognitive science, forensic analysis, and statistical methodology. Current collaborations address applied issues like probation supervision mortality analysis, hazard perception testing for transport safety, and digital interventions for legal capability in youth.

• Spoken Language Processing
• Natural Language Processing
• Deception Detection
• +5 more

Sarah Levitan is an Assistant Professor in the Department of Computer Science at Hunter College and a doctoral faculty member in the Computer Science and Linguistics PhD programs at the CUNY Graduate Center. She holds a PhD (2019) and MS from Columbia University and a BS from Brooklyn College. Her research focuses on spoken language processing, with special emphasis on paralinguistic aspects of speech and computational methods for analyzing deception, misinformation, and speaker traits. Her key research areas include acoustic-prosodic and lexical analysis of speech to identify deception cues, trustworthiness perception in conversational agents, and mental health analysis through social media data. She has developed methodologies for detecting hate speech, radicalization content, and psychiatric conditions from online text and speech. Recent work highlights include studies on cross-lingual trust perception in dialogues, multimodal deception detection systems, and computational models for analyzing speaker states. Her research has been supported by NSF grants ($298k as PI), Google Cyber NYC ($80k), and the Air Force Office of Scientific Research ($764k as Co-PI). Levitan leads the Hunter Speech Lab, mentoring 3 PhD students, 4 MS students, and 2 undergraduates. She has published over 30 peer-reviewed articles and received the 2015 Cognitive Conference Best Paper Award. Her teaching portfolio includes undergraduate/graduate courses in Natural Language Processing, Computational Linguistics, and Computer Theory. Funded projects include $20M ARNI Institute (Senior Personnel) and NSF EAGER grant exploring trust perception in AI agents. Current research trends focus on hybrid acoustic-lexical models, human-AI collaboration in speech analysis, and ethical applications of NLP in media.

Ou BaiView profile

Professor

• Cyber-Physical Systems
• Smart Health Technologies
• Robotics
• +6 more

Dr. Ou Bai is a Professor and Director of the Human Cyber-Physical Systems (HCPS) Laboratory at Florida International University's College of Engineering. He holds a Ph.D. in Electrical & Systems Control Engineering from Saga University (Japan) and a B.S. in Electronic Engineering from Tsinghua University (China). His research focuses on advancing Cyber-Physical Systems (CPS), Smart Health Technologies, and Robotic Prosthetics/Exoskeletons to enhance human capabilities through sensor integration, embedded systems, and AI-driven control. Dr. Bai has authored over 100 peer-reviewed publications and leads projects in wearable devices, neural interfaces, and industrial exoskeletons. He teaches graduate courses such as Advanced Embedded Systems Design for IoT and Autonomous Systems and Control . The HCPS Lab develops technologies like brain-computer interfaces (BCIs), neuroprosthetics, and assistive robotics to improve human-physical world interactions. His work addresses challenges in smart healthcare, industrial safety, and human-robot collaboration. Key projects include exoskeleton systems for nuclear facility workers, gait intention prediction via EEG signals, and child-parent interaction analysis using wearable sensors. Dr. Bai has secured 11 sponsored projects and graduated 6 Ph.D. students. His lab emphasizes interdisciplinary innovation at the intersection of engineering, medicine, and AI.

• Biological and Artificial Vision
• Human Sensory Augmentation
• Secure Data Analytics
• +3 more

Dr. Noel Murphy is an Associate Professor and Head of the School of Electronic Engineering at Dublin City University (DCU). He has held various leadership roles, including Associate Dean for Education in the Faculty of Engineering and Computing (2005-2007), Head of School (2007-2012, 2015-2018, and returning in 2021). He has been teaching at DCU since 1986 and has contributed extensively to academic governance, including roles on Academic Council and Governing Authority committees. Dr. Murphy holds a BA (Mod) in Theoretical Physics from Trinity College Dublin (TCD), a PhD from DCU (2003) on Information Theory models for Biological and Artificial Vision, and a part-time MA in Pure Mathematics from Maynooth University (2015). His research focuses on: Biological and Artificial Vision: Including Information Theoretic models and the work of Stephen Grossberg. Secure Data Analytics: Particularly leveraging SGX-enabled applications for data ownership control. Algebraic Number Theory: Exploring elliptic curves and Apéry's Constant. IoT and Edge Computing: Focusing on secure processing for IoT applications. Human Sensory Augmentation and Multimedia Information Retrieval. In addition to his teaching and leadership roles, Dr. Murphy has supervised numerous PhD and Master's students to completion. He has secured funding as Principal Investigator or co-Investigator on national and EU-funded research projects. He is affiliated with DCU's Entwine Research Centre. Outside academia, Dr. Murphy is Honorary Secretary of the Irish Light Aviation Society, holds a Private Pilot’s License, and is involved in aircraft restoration projects, including a 1940 Piper J5 and a Vans RV-8.

• Biometrics
• Keystroke Dynamics
• Gait Recognition
• +3 more

Patrick Adrianus Bours is Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU). Educated at Eindhoven University of Technology (MSc 1990, PhD 1994), his career includes senior roles at Netherlands National Communication Security Agency and leadership of NTNU's Norwegian Information Security Laboratory (NISlab). Research focuses on behavioral biometrics including keystroke dynamics, gait recognition, and continuous authentication systems. Current projects address chatroom security with emphasis on detecting predatory behavior through typing patterns and stylometric analysis. Work integrates machine learning, natural language processing, and multimodal systems to enhance cybersecurity. Publications demonstrate progressive refinement of predator detection systems and biometric authentication methods. Recent work examines misinformation impacts during COVID-19 and ensemble methods for security applications. Research consistently combines theoretical security frameworks with practical implementation challenges.

Alex JungView profile

Associate Professor

• Machine Learning Theory
• Statistical Signal Processing
• Networked Data Analysis
• +1 more

Alex Jung is Associate Professor at Aalto University's Department of Computer Science, researching fundamental conditions for successful machine learning applications. His work spans theoretical foundations of learning systems, distributed optimization, and statistical signal processing. He holds Austria's highest academic distinction (Promotio Sub Auspiciis Res Publicae) and leads Helsinki Institute for Information Technology research groups. Research develops clustered federated learning frameworks, explainable empirical risk minimization, total variation methods for networked data, and applications in energy systems and medical imaging. Recent work includes high-resolution wind mapping for Finland and reinforcement learning for electrical machine design. Publications include textbooks on machine learning fundamentals and award-winning papers on distributed learning. Dr. Jung serves on editorial boards and develops educational resources including the Aalto Dictionary of Machine Learning.

Nicolas C. PégardView profile

Assistant Professor

• Computational Optics
• Neuroscience
• Biophotonics
• +2 more

Nicolas C. Pégard is an Assistant Professor at the University of North Carolina at Chapel Hill, jointly affiliated with the School of Medicine's Biomedical Engineering department and the Applied Physical Sciences program. He directs the Computational Biophotonics Laboratory, which develops advanced optical instrumentation for neuroscience and medical applications. His research integrates physics, engineering, and computer science to create novel optical tools for interrogating biological systems. Key interests include computational microscopy, holography, machine learning approaches to neural imaging, optogenetics, and high-speed optical systems for monitoring neural activity. The lab focuses on task-based optical systems rather than traditional imaging. Dr. Pégard's publications demonstrate a consistent focus on advancing optical techniques for neuroscience. Recent work (2023-2025) shows strong trends in developing holographic methods, compressive imaging techniques, and integrated systems for multimodal neural recording. His team frequently publishes on applications of deep learning to optical problems and creates open-source tools for the research community. Sloan Fellowship in Neurosciences (2023) Kavli Innovation Grant (2022) Beckman Young Investigator Award (2021) Burroughs Wellcome Career Award (2018) The lab actively trains PhD students in interdisciplinary research, with recent graduates including Dr. Hossein Eybposh. Current projects explore holographic optogenetics, voltage imaging, and integrated systems for behavioral neuroscience. The group maintains collaborations with Janelia Research Campus and receives funding from NSF, NIH, and private foundations for developing next-generation neurotechnology platforms.

Barrett KleinView profile

Professor

• Animal behavior
• Entomology
• Social insect biology
• +3 more

Barrett Klein is a Full Professor of Biology at the University of Wisconsin-La Crosse (UWL), where he has held positions since 2012, advancing to his current rank in 2021. He holds a Ph.D. in Ecology, Evolution & Behavior from the University of Texas at Austin (2010), along with earlier degrees from Cornell University (B.S., 1993) and the University of Arizona (M.S., 2003). His research focuses on animal behavior, entomology, sleep biology, and the intersection of insects with human culture and art. Klein's work bridges scientific inquiry and artistic expression, exemplified by his leadership of the Pupating Lab and his acclaimed book The Insect Epiphany (2024). He has been recognized with a Teaching Excellence Award and frequently collaborates with institutions like the Field Museum and the University of Konstanz. Klein’s publications span topics from insect sleep mechanics to cultural entomology, and his work has appeared in Proceedings of the National Academy of Sciences , Journal of Experimental Zoology , and Smithsonian Magazine . His teaching portfolio includes courses like Entomology, Scientific Visualization, and a First-Year Seminar on insects in human life. Research interests include sleep dynamics in social insects and bats, insect behavior visualization, and the historical impact of insects on human culture. Klein’s lab investigates how insects affect human societies through art, food, and environmental stewardship. Recent projects explore the functional significance of sleep in social insects and the role of insects in global ecosystems. His interdisciplinary approach is reflected in collaborations with artists, writers, and international scientists, as well as his TEDx talks and media appearances on topics like entomological art and biodiversity conservation.

Quamar NiyazView profile

Assistant Professor

• Cybersecurity
• Computer Networks
• Applied Machine Learning
• +3 more

Dr. Quamar Niyaz is an Assistant Professor in the Department of Electrical and Computer Engineering at Purdue University Northwest (PNW), located in Hammond, Indiana. He is affiliated with the College of Engineering and Sciences, focusing on cybersecurity, computer networks, and applied machine learning. His work emphasizes both technical innovation and educational tool development, including testbeds for hands-on learning. Dr. Niyaz holds a Ph.D. in Computer Science & Engineering from The University of Toledo, an M.S. and B.S. in Computer Engineering from Aligarh Muslim University, India. His research spans intrusion detection systems, malware analysis, and cybersecurity education frameworks, with a focus on making cybersecurity accessible to high-school and university students through interactive tools like visualization aids and smartphone-based learning modules. His research interests include network security, machine learning applications, and cybersecurity pedagogy. Notable projects include developing NATICUSdroid (Android malware detection), Permission-Educator (mobile permission education app), and PortableVN (network security testbeds). He also explores the societal impact of cybersecurity education on career choices and student attitudes. Teaching courses in C++/Matlab, software engineering, and computer networks, Dr. Niyaz emphasizes practical skills and ethical considerations in technology. His recent work highlights trends in hybrid cybersecurity education models, augmented reality for engineering training, and combating modern threats like GPS spoofing and UAV jamming attacks. Dr. Niyaz’s contributions bridge academia and industry through collaborative research on secure software frameworks, AR/ML integration, and autonomous systems security. His efforts aim to prepare students for challenges in a rapidly evolving technological landscape while addressing global cybersecurity needs.

Rebecca R SaxeView profile

Professor

• Social Cognition
• Cognitive Neuroscience
• Developmental Psychology
• +3 more

Rebecca R Saxe is the John W. Jarve Professor of Cognitive Neuroscience and Associate Dean of Science at MIT, affiliated with the Department of Brain and Cognitive Sciences and the McGovern Institute for Brain Research. She earned her Ph.D. from MIT and was a Harvard Junior Fellow. Her research focuses on the neural basis of social cognition, including infant development, theory of mind, and moral reasoning. She has pioneered neuroimaging techniques for studying young children and adults. Education: Ph.D. in Cognitive Neuroscience from MIT. Former Harvard Junior Fellow. Research Interests: Saxe’s work explores how the brain processes social interactions, moral judgments, and social relationships. Recent studies include infant face perception, neurodevelopmental imaging applications, and the cognitive mechanisms of punishment and authority. Key Awards: Troland Award (National Academy of Sciences) Guggenheim Fellowship MIT Committed to Caring Award American Academy of Arts and Sciences Member Lab & Projects: Directs the Saxe Lab at MIT, advancing infant neuroimaging and computational models of social cognition. Current projects investigate social dynamics, neuroethical challenges, and global applications of cognitive neuroscience.

Naomi NotaView profile

Researcher

• Language Processing
• Multimodal Communication
• Cognitive Load Effects
• +6 more

Naomi Nota is a Postdoctoral Research Associate in the School of Philosophy, Psychology and Language Sciences at the University of Edinburgh. Her research investigates language processing in challenging conditions such as noisy environments and among populations with hearing impairment. Previously, she completed her PhD at the Max Planck Institute for Psycholinguistics / Donders Centre for Cognition and Behaviour, Radboud University, focusing on how visual bodily signals contribute to language processing. Her research interests span language prediction affected by cognitive load, noise, and hearing impairment; multimodal communication; and bilingual children's reading processes. She employs conversation corpora and behavioral experiments with virtual agents and eye-tracking, analyzing data using mixed effects modeling, Bayesian statistics, time series analysis, and machine learning techniques including clustering. Nota actively supervises students including Tiggs Nicholson, Elia Muller, Sofia Beaucage, Margaret Swanson, Deniz Şahin, and Leyla Yanik. Her publications demonstrate expertise in visual-world eye-tracking paradigms, facial signal analysis, and cognitive load effects on language processing. She has presented at major conferences including AMLaP, ISGS, and EPS. As a science communicator, she participates in conferences, outreach events, and writes blogs for MPI TalkLing. She also works as a freelance illustrator in her spare time, creating art that complements her academic work. Nota maintains active supervision opportunities and welcomes collaboration on research, science communication, and illustration projects.