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Francis HeylighenView profile

Research Professor

• Cybernetics
• Complex Systems
• Self-organization
• +7 more

Francis Heylighen is a Research Professor at the Free University of Brussels (Vrije Universiteit Brussel), where he directs the transdisciplinary Center Leo Apostel and leads the Evolution, Complexity and Cognition research group. He is also affiliated with the Department of History, Art and Philosophy (HARP), teaching courses such as Complexity and Evolution , Mind, Brain & Body , and Effective Thinking to philosophy students. His work spans cybernetics, complex systems theory, and the concept of the Global Brain , integrating insights from physics, computer science, and philosophy. Research Focus: Emergence of intelligent organization through self-organization, stigmergy, and distributed cognition Key Projects: Principia Cybernetica Project, Global Brain Institute, and computational models of collective intelligence Contributions: Coined the mathematical foundations of the Global Brain concept, developed Challenge Propagation theory for distributed intelligence, and advanced Chemical Organization Theory for modeling autopoietic systems His publications (over 200) and Google Scholar citations (14,000+ with H-index 59) reflect his interdisciplinary impact across evolutionary systems, philosophy of technology, and complexity science. He has received biographical listings in Who's Who and a 2015 Outstanding Technology Contribution Award from the Web Intelligence Consortium.

Gordon KindlmannView profile

Associate Professor

• Biomedical Image Analysis
• Scientific Visualization
• Systems
• +5 more

Gordon Kindlmann is an Associate Professor of Computer Science at the University of Chicago, affiliated with the Systems Group research community. His work bridges computational imaging science and visualization theory, focusing on biomedical applications and machine learning integration. He leads projects in diffusion MRI analysis, surgical planning tools like SlicerDMRI, and theoretical advancements in visualization design. Research Interests: Biomedical Image Analysis Scientific Visualization Theory High Performance Computing Medical Imaging Algorithms Machine Learning Applications Recent Articles Trends: His work emphasizes cardiovascular modeling (e.g., aortic dissection prediction) and visualization validation techniques. Recent collaborations include optimizing visualization tools for scalability and accuracy in threaded data exploration. Awards: None explicitly listed in provided text. Grants/Advising: Involved in CDAC Discovery Grants (2019) and actively supports student research, though specific advisees are not listed here. His lab develops open-source tools like Diderot for tensor field visualization. Labs & Teams: Member of the Systems Group, a collaborative environment advancing systems research, programming languages, and software engineering.

Seung-Goo KimView profile

Researcher

• Neuroscience
• Cognitive Science
• Music Psychology
• +4 more

Dr. Seung-Goo Kim is a Postdoctoral Researcher at the Max Planck Institute for Empirical Aesthetics (since 2021), working under Prof. Daniela Sammler. His career spans postdoctoral roles at Duke University, University of Cambridge, and MPI for Human Cognitive and Brain Sciences, with a PhD in Psychology from University of Leipzig (2017, summa cum laude). He holds graduate degrees in Cognitive Science and dual BA in Economics/Psychology, with early training in Musical Composition. PhD: University of Leipzig & MPI for Human Cognitive and Brain Sciences Postdoc: Duke University (USA), University of Cambridge (UK) Current affiliation: Max Planck Institute for Empirical Aesthetics, Frankfurt/Main His research focuses on the neural encoding of music and speech , particularly: shared mechanisms of musical emotion and prosody; intersubject variability in musical reward sensitivity; temporal structure processing; pitch perception correlates; and applications in clinical neuroscience. Key methodologies include MEG, fMRI, and computational modeling of auditory systems. Major scientific awards include: Johanna Quandt Young Academy Fellowship (2023) Postdoc Research Grant Award (Duke University, 2021) Summa cum laude PhD (2017) Conference Scholarship (Mariani Foundation, Italy, 2014) Best Poster Presentation Award (Korean Society of Human Brain Mapping, 2010) His work includes collaborations with leading labs in neuroaesthetics , music cognition , and clinical neuroscience , with recent publications analyzing tonal hierarchy, dissonance encoding, and myeloarchitecture of impulsivity. Current projects emphasize computational models of auditory processing and empirical aesthetics.

Armin IskeView profile

Professor

• Numerical Approximation
• Applied Mathematics
• Kernel Methods
• +4 more

Prof. Dr. Armin Iske is a Full Professor of Numerical Approximation at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. He holds a PhD from the University of Göttingen (1994) and habilitation from TU Munich (2002). His research focuses on numerical approximation, kernel-based methods, computational fluid dynamics, and medical imaging. He has held academic positions globally, including visiting roles at ANU (Australia) and the University of Leicester (UK). Research interests include scattered data approximation, adaptive particle methods for flow simulation, and high-dimensional data analysis. He has authored 118+ publications, including works on kernel interpolation, medical imaging reconstruction, and machine learning applications. He serves on editorial boards for journals like Advances in Computational Mathematics and Sampling Theory . His contributions span interdisciplinary projects, such as SFB/TRR 181 on energy transfer in atmosphere and ocean, and collaborations in nanotechnology for brain interfaces. His work bridges theoretical mathematics with practical applications in engineering and biosciences.

Emilie CasparView profile

Associate Professor

• Voluntary actions
• sense of agency
• responsibility
• +14 more

Emilie Caspar is an Associate Professor at Ghent University (Belgium), specializing in cognitive and social neuroscience. Her research primarily focuses on voluntary actions, sense of agency, responsibility, empathy, and moral decision-making. She leads research at the CO3 lab, which investigates the intersection of neuroscience, psychology, and social behavior. Dr. Caspar completed her master's degree in neuropsychology and cognitive psychology, along with a certificate in forensic sciences and psychiatry. She earned her PhD in social and cognitive neurosciences from the Université libre de Bruxelles (Belgium) under the supervision of Axel Cleeremans. Following her PhD, she conducted postdoctoral research at University College London (UK) in Patrick Haggard's lab and later received a prestigious Marie-Curie Individual Fellowship for a 2-year postdoc at the Netherlands Institute for Neurosciences with Christian Keysers and Valeria Gazzola. Her research investigates how obedience to authority changes individual cognition and moral behaviors, with a particular focus on the neuro-cognitive mechanisms that prevent individuals from complying with immoral orders. Dr. Caspar has pioneered innovative experimental approaches to study disobedience to authority that comply with modern ethical standards. Her work extends beyond traditional WEIRD (Western, Educated, Industrialized, Rich, Democratic) populations to include diverse groups such as inmates, military personnel, and survivors/perpetrators of genocide. This global perspective allows her to develop a more comprehensive understanding of the societal impact of obedience and moral decision-making. Dr. Caspar employs a diverse methodological toolkit including behavioral experiments, EEG, ERPs, TFR, fMRI, robotics, and brain-computer interfaces to investigate questions related to free will, voluntary action, and the sense of agency. Her research spans multiple domains including forensic psychology, psychopathology, antisocial behaviors, moral consciousness, and applications in robotics and prosthetics. Dr. Caspar has received notable recognition including a Marie-Curie Individual Fellowship, which supported her postdoctoral research at the Netherlands Institute for Neurosciences. Her work has been published in high-impact journals including Nature Communications, Scientific Reports, and PLOS ONE. As a scientific consultant through Be Brain Consultancy, Dr. Caspar applies her expertise in behavioral neuroscience to humanitarian and societal projects focused on preventing blind obedience and promoting peace-building. She collaborates with NGOs and non-academic institutions to translate her research into practical applications. Her lab website (https://moralsocialbrain.com/) provides additional information about her research team and ongoing projects.

• Neural Modeling
• Computational Neuroscience
• Neuroscience
• +3 more

Michael Hines is a Senior Research Scientist in the Department of Neuroscience at the Yale School of Medicine. His work focuses on developing and optimizing computational tools for neural modeling, notably the NEURON simulation environment. This software enables researchers to model cellular and network mechanisms involved in neurological disorders and therapeutic interventions. Hines holds a PhD from the University of Chicago (1975) and has contributed extensively to computational neuroscience through software development and interdisciplinary collaboration. Education: PhD, University of Chicago, 1975 MS, Physics, University of Chicago, 1972 BS, Physics, Michigan State University, 1970 His research interests revolve around advancing computational methods for simulating neural systems, including the development of dynamic clamp techniques and real-time interfacing with living cells. He has collaborated with institutions globally to enhance the scalability and accuracy of NEURON for supercomputing environments. Hines' work bridges neuroscience, mathematics, and computer science, addressing challenges in modeling complex neural networks and their applications to disease mechanisms. Publications highlight his contributions to neural simulation software, error analysis in computational models, and interdisciplinary tools like ModelDB and SenseLab. His research underscores the integration of experimental and computational approaches to advance understanding of neurological disorders and therapeutic strategies. Labs/Teams: Hines leads the development of the NEURON Simulation Environment and contributes to collaborative projects in computational neuroscience at Yale.

Srinivas TadigadapaView profile

Professor

• MEMS (Microelectromechanical Systems)
• Biomedical Sensors
• Thermoelectric Materials
• +4 more

Srinivas Tadigadapa is a Professor of Electrical and Computer Engineering and Senior Vice Provost for Institutes, Centers, and Impact Engines at Northeastern University. He leads the Cross-College Magnetics Center and has held prior positions at Pennsylvania State University. With a PhD from the University of Cambridge (1994), his research focuses on MEMS-based sensor systems, including biomedical applications, magnetic technologies for neural interfaces, and nanomaterial integration. Notable honors include IEEE Fellow, NAI Senior Member, and Alexander von Humboldt Fellowship. Educations: PhD, Cambridge University, 1994 His research explores micro/nano-sensor fabrication, thermoelectric materials, and plasmonic light emitters. Key projects include NSF-funded work on mid-IR light emitters, magnetic resonance imaging systems, and biomarker detection via quartz resonators. Over 50+ publications span journals like Nanotechnology and Biosensors and Bioelectronics . Major awards include the 2020 IEEE Sensors Council Meritorious Service Award. He has secured NSF grants for neurodisease treatment via ultrasound and kidney function monitoring. As Founding Editor-in-Chief of IEEE Sensors Letters , he contributes to interdisciplinary research dissemination. Grants/Awards: NSF EAGER Grants ($250K-$110K), COE Collaborative Research Projects, TIER 1 Interdisciplinary Seed Funding Labs/Teams: Cross-College Magnetics Center, Northeastern Sensor Systems Lab

• Virtual Reality
• Augmented Reality
• Educational Technology
• +7 more

Roghayeh Barmaki is a researcher with extensive publications in virtual reality, augmented reality, and educational technology. Her work spans rehabilitation systems, autism therapy, and neuroimaging analysis using fNIRS. She collaborates with institutions including Georgia Institute of Technology and University of Florida. Key Collaborators : Anjana Bhat, Jicheng Li, Shayla Sharmin, Vuthea Chheang Research Themes : Wearable sensors, LSL framework, movement synchrony, multimodal learning analytics Research Interests She focuses on immersive technologies for education and therapy, with expertise in: Functional Near-Infrared Spectroscopy (fNIRS) for cognitive engagement Wearable sensor integration in rehabilitation Gender perspectives in AR/VR education Multimodal affect analysis for autism Privacy-preserving behavioral analytics 3D visualization for anatomy training Publication Trends Recent work emphasizes fNIRS applications in gaming environments and hybrid deep learning models for cognitive analysis. Earlier studies focused on gesture recognition, movement synchrony estimation, and autism intervention datasets. Impactful Projects She developed the MMASD dataset for autism research and contributed to VR therapy systems. Her collaborations include: Georgia Tech's Autism Technology Research University of Florida's TeachLivE virtual classroom Germany's AIxVR conference contributions International collaborations on sensor systems

Juan PampinView profile

Professor

• 3D Audio
• Ambisonics
• Brain-computer Interfaces
• +8 more

Juan Pampin is a Professor and Chair of the Department of Digital Arts and Experimental Media (DXARTS) at the University of Washington (UW). He also serves as an Adjunct Professor in the School of Music and the Department of Electrical & Computer Engineering. His expertise spans composition, electronic music, and interdisciplinary research at the intersection of art and technology. Education: MA in Composition from Conservatoire National Supérieur de Musique de Lyon (France, 1995); DMA in Composition from Stanford University (2000). Research interests include high-dimensional sound reproduction systems, ultrasonic beamforming, brain-computer interfaces, and data-driven generative sound systems. He collaborates with institutions like Swedish Hospital and the Meany Center for the Performing Arts on projects such as 'Performing with the Brain,' a music prosthetic for paralyzed individuals using EEG signals. Notable works include the 'Percussion Cycle' (recorded by Les Percussions de Strasbourg) and 'Human Subjects,' a composition exploring neuro-sensing in performance. He co-founded the improvisation ensemble Indigo Mist, featured at the 2018 Earshot Jazz Festival. Funding includes grants from the Andrew W. Mellon Foundation and National Endowment for the Arts (NEA).

Abidemi Bolu AjiboyeView profile

Professor

• Brain-Computer Interfaces (BCI)
• Neuroprosthetics
• Spinal Cord Injury Rehabilitation
• +5 more

Abidemi Bolu Ajiboye, PhD, is the Robert & Brenda Aiken Professor of Biomedical Engineering at Case Western Reserve University's Case School of Engineering. He holds key administrative roles including Faculty Director of Postdoctoral Affairs, Associate Chair, and Executive Vice Chair of the Case School of Engineering. His research focuses on developing brain-computer interface (BCI) technologies to restore motor function in individuals with spinal cord injuries and stroke. Notable projects include the ReHAB initiative, aiming to reconnect paralyzed limbs to the brain through bidirectional neuroprostheses. Education: PhD Biomedical Engineering (Northwestern University, 2008), MS Biomedical Engineering (Northwestern, 2003), BS Biomedical & Electrical Engineering (Duke University, 2000) Research interests span neural control mechanisms, FES-based systems, and clinical translation of BCI technologies. He has pioneered closed-loop systems for natural movement restoration and received VA Career Development Awards. His work integrates neuroscience with engineering to address complex rehabilitation challenges. Publications emphasize BCI system design, neural signal processing, and clinical applications. Recent efforts focus on tactile feedback restoration and addressing biocompatibility challenges in neural implants. He advises on postdoctoral training programs and contributes to interdisciplinary neural engineering initiatives through the Cleveland Neural Engineering Workshop.

Hillel ChielView profile

Professor

• Neural Networks
• Electrophysiology
• Biomechanics
• +7 more

Hillel Chiel is a Professor at Case Western Reserve University with joint appointments in the Department of Biology (College of Arts and Sciences), Department of Neurosciences (School of Medicine), Department of Biomedical Engineering (Case School of Engineering), and the Neural Engineering Center. His office is located in DeGrace Hall Room 304. Dr. Chiel leads a research laboratory focused on understanding how the brain and body generate adaptive behavior through neurophysiology, computational modeling, biomechanics, and robotics. Key research areas include: Neural control of feeding in Aplysia californica using MRI and 3D modeling Biologically-inspired robotic systems mimicking animal mechanics Wireless neural recording/stimulation techniques Infrared neural inhibition and thermal modulation of neural activity Neuromechanics of multifunctional behaviors His recent publications (2019-2021) demonstrate strong interdisciplinary focus on: computational neuroscience, infrared neural modulation techniques, biomechanics of invertebrate feeding systems, biomimetic robotics, and neuroprosthetic applications. Research consistently integrates experimental neurobiology with engineering principles.

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +5 more

Dr Theo Teo is a Research Fellow at the University of South Australia , specializing in Virtual Reality , Augmented Reality , and Human-Computer Interaction . He is affiliated with the UniSA STEM division and actively supervises research degrees. His research explores multimodal interaction , virtual embodiment , and remote collaboration in immersive environments. Recent work focuses on EEG-based preference decoding , gaze-oriented parallel views , and haptic feedback systems . Theo's publications span VR collaboration techniques , AR input interfaces , and embodiment experiments , emphasizing sensory feedback , social interaction , and task optimization in virtual environments.

Gianluigi Maria RivaView profile

Research Fellow

• Data Protection
• Privacy Law
• Technology Ethics
• +8 more

Gianluigi Maria Riva is a Research Fellow at University College Dublin (UCD), affiliated with the School of Information and Communication Studies. He holds a Marie Curie PhD in Privacy, Ethics and New Technologies from UCD and is a non-residential Connection Science Fellow at the MIT Media Lab’s Human Dynamics group. His expertise spans data protection law, invasive technologies (e.g., IoT, BCI), and EU-US privacy comparisons, particularly in genetic and biometric profiling. Education: PhD in Privacy, Ethics, and New Technologies (UCD). Former Fulbright-Shuman Visiting Scholar at MIT Media Lab. Research focuses on dark patterns, ethical governance frameworks for emerging technologies, and privacy-by-design principles in Human-Computer Interaction (HCI). Collaborated with organizations like Telefonica Innovaciò Alpha on ethics governance and participated in EU projects such as H2020 TEAM-ITN (mental health tech) and REINITIALISE (digital health privacy). Awards: 2022 Best Innovator Award (Marie Curie Alumni Association). Leadership: Coordinates a law seminar at the University of Pavia, contributes to EU COST Actions (e.g., Privacy and Security, Researcher Mental Health), and leads editorial roles in Frontiers in Human Dynamics. Member of committees like the IEEE, AssoDPO’s AI Scientific Committee, and the I.R.C.C.S. Mondino Neurological Institute’s Board. Prior roles include Military Police Officer, Commercial Manager, litigation Attorney, and Legal/Data Protection consultant.

Izabella ObálView profile

Associate Clinical Professor

• Amyotrophic Lateral Sclerosis (ALS)
• Neurology
• Rehabilitation Robotics
• +3 more

Izabella Obál is a Clinical Associate Professor at Aalborg University Hospital, affiliated with the Department of Clinical Medicine under The Faculty of Medicine. She is also part of the Center for Rehabilitation Robotics, focusing on interdisciplinary research at the intersection of neurology and robotics. Her work emphasizes neurological disorders like amyotrophic lateral sclerosis (ALS), motor neuron disease, and rehabilitation engineering. She has contributed to projects such as the CRERoB initiative (2024–2027) and the development of adaptive hybrid control frameworks for ALS patients. Her research spans biomarker development, diagnostic aids using transcranial magnetic stimulation, and assistive robotics for severely disabled individuals. Collaborations include experts in neurology, biomedical engineering, and robotics. Obál’s research outputs (17+ publications) highlight clinical-neuroengineering solutions, including studies on Penn upper motor neuron scoring variability and thrombolysis in pregnancy-related strokes. Her work is published in journals like Journal of Neurology and Annals of Clinical and Translational Neurology . She actively participates in multidisciplinary teams advancing rehabilitation robotics, aiming to improve quality of life for individuals with progressive neurological conditions. Current projects focus on tongue-brain interfaces and exoskeleton systems for motor-impaired patients.

Stuart CoganView profile

Professor

• Bioengineering
• Neural Interfaces
• Materials Science
• +3 more

Stuart Cogan is a Professor in the Department of Bioengineering at the University of Texas at Dallas (UT Dallas), affiliated with the Erik Jonsson School of Engineering and Computer Science. He leads the Neural Interfaces Lab, focusing on materials and devices for chronic neural stimulation and recording. His research emphasizes implantable electrode stability, electrochemical characterization, and minimizing tissue damage. Education: ScD in Materials Science (MIT, 1979), MS in Materials Science (Duke, 1977), BS in Mechanical Engineering (Duke, 1975). Research interests include neural prosthetics, thin-film electrode fabrication, and long-term implant performance. Key innovations involve amorphous silicon carbide coatings and flexible microelectrode arrays. Recent work explores electrode materials for chronic use, including iridium oxide and ruthenium oxide, and evaluates their electrochemical stability under stimulation. Studies address mechanical insertion mechanics, parasitic capacitance in arrays, and wireless stimulation systems for peripheral nerves. Publications span neural interface design, in vivo testing, and material degradation analysis. His lab’s advancements aim to improve chronic implant longevity and therapeutic efficacy in neural prosthetics and neuromodulation therapies.