Jane E. Huggins is a Research Professor in the Department of Biomedical Engineering and Physical Medicine and Rehabilitation at the University of Michigan. Her work focuses on developing EEG-based brain-computer interfaces (BCIs) into clinical tools for individuals with physical impairments, addressing challenges like signal processing, task design, and in-home technical support. University of Michigan Appointments: Biomedical Engineering (2024–Present), Physical Medicine and Rehabilitation (2024–Present) Research Interests: Jane’s research bridges BCIs with augmentative and alternative communication (AAC) systems, emphasizing accessibility, commercial readiness, and integration with established clinical infrastructure. Her projects explore event-related potentials (P300), neural prostheses, and user-centered design for equitable healthcare technologies. Grant Funding Highlights: She has secured major grants from NIH, NSF, General Motors, and Cerebral Palsy Alliance Research Foundation to advance BCI applications in accessibility, autonomous vehicles, and lifelong assistive technology deployment. Professional Contributions: Jane actively presents at international BCI conferences and collaborates with the UMDBI Lab on clinical trials and software innovations for BCI systems.
David Moses is an Assistant Professor in the Department of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine. His research focuses on developing advanced brain-computer interfaces (BCIs) and speech neuroprostheses to restore communication in individuals with paralysis or speech impairments. Moses works at the intersection of neuroscience, biomedical engineering, and artificial intelligence, utilizing cortical activity mapping to create real-time decoding systems. Research Areas: Brain-Computer Interfaces Speech Neuroprosthetics Neural Signal Decoding Artificial Intelligence in Medicine Cortical Activity Analysis Cognitive Neuroscience Publication Trends: Moses' recent work (2024-2025) emphasizes streaming brain-to-voice neuroprostheses, bilingual speech decoding, and user agency in neuroprosthetic design. Earlier publications (2016-2022) established foundational methods for continuous phoneme decoding, real-time dialogue systems, and AI-driven cortical signal translation. Key Collaborations: Moses frequently collaborates with Edward Chang (UCSF), Gopala Anumanchipalli (UCSF), Karunesh Ganguly (UCSF), and Adelyn Tu-Chan (UCSF) on high-impact neuroprosthetic research. His work is cited extensively in medical and neuroscience literature, with significant social media and policy influence.
Isaac Kauvar is a Postdoctoral Fellow at the Department of Electrical Engineering, School of Engineering, Stanford University. He holds a B.S. in Engineering Physics specializing in Photonics, an M.S. in Electrical Engineering focusing on Imaging and Optimization, and is currently pursuing a PhD in Electrical Engineering under the co-advisement of Prof. Gordon Wetzstein. Education B.S. Engineering Physics, Stanford M.S. Electrical Engineering, Stanford His research bridges Neuroscience, Photonics, and Computational Modeling to develop advanced imaging and neural activity measurement technologies. Key contributions include optical brain-computer interfaces, light-field microscopy innovations, and neural circuit analysis across species. Recent publications highlight work in cortical imaging, emotional response modeling, and neurotechnology development. His expertise spans optical systems design, neural dynamics analysis, and brain state modulation. Contact: ikauvar@stanford.edu
Ronald Aarts is a Full Professor (part-time) at Eindhoven University of Technology (TU/e) in the Department of Signal Processing Systems, affiliated with the EAISI institute. His research focuses on ambulatory and unobtrusive monitoring systems, integrating engineering with medicine and biology. He holds dual roles as a part-time professor and a long-term researcher at Philips Research since 1977. His expertise spans electromagnetism, acoustics, signal processing, and sensor technology. Education: BSc and PhD in Electrical Engineering and Physics from Delft University of Technology. Research Interests: Sensors for biomedical applications, sleep and cardiology monitoring, epilepsy detection, and wearable health technologies. Awards: Gilles Holst Award (1999), Philips Gold Invention Award (2012), IEEE Fellowship (2007), AES Silver Medal (2010). He has supervised over 19 PhD students and holds >250 patents. Key contributions include advancements in EEG-fMRI artifact suppression, non-invasive circulatory monitoring, and sleep state classification in preterm infants.
Michail Giannakos is a Professor of Interaction Design and Learning Technologies at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He serves as Head of the Learner-Computer Interaction Lab and has held visiting positions including EAISI Visiting Professor at Eindhoven University of Technology (2023-2024) and Honorary Professor at UCL Knowledge Lab (2022-2023). Previously, he was Associate Professor (2017-2020) and Senior Lecturer (2014-2017) at NTNU, and Assistant Professor at Old Dominion University (2013-2014). Dr. Giannakos's research focuses on the design and study of emerging technologies in online and hybrid education settings, with particular emphasis on student and instructor experiences. His work spans Human-Computer Interaction , Learning Analytics , Learning Technologies , and User Experience Research . He has co-authored over 150 peer-reviewed publications in leading journals including Computers & Education, Computers in Human Behavior, IEEE TLT, and ACM TOCE. His recent publications reveal a strong trend toward multimodal learning analytics, embodied interaction in educational contexts, and the application of generative AI in education. The research increasingly integrates physiological and cognitive measurements with traditional learning data to create more comprehensive educational insights. There's also a noticeable focus on STEM education, particularly in mathematics learning through embodied and multimodal approaches. EAISI Visiting Professor, Eindhoven University of Technology (2023) Honorary Professor, UCL Knowledge Lab, University College London (2022) IDC Best Paper Award (2022) ITiCSE Top 5 papers in 25 Years Award (2020) RCN Young Research Talent grant (2016) ERCIM "Alain Bensoussan" Fellow (2013) Outstanding Academic Award, NTNU (2017-2020) Dr. Giannakos actively supervises multiple PhD students and postdocs, including Giulia Cosentino and Andrew Pulsipher as main supervisees. He has successfully mentored numerous PhD candidates to completion, many of whom have gone on to academic positions. His research is supported by substantial grants from diverse sources including the European Commission (Horizon Europe, Horizon 2020), Research Council of Norway, US-NSF, Microsoft Research, and DAAD. Current major projects include STEAM Learning Ecologies (Horizon Europe, 2022-2025) and SURROUNDEDbySCIENCE (Horizon 2020, 2021-2025). As Head of the Learner-Computer Interaction Lab, Dr. Giannakos leads a multidisciplinary team exploring how emerging technologies can enhance learning experiences. The lab focuses on multimodal data collection, embodied interaction design, and the development of intelligent learning environments that adapt to user needs. Current work emphasizes the integration of generative AI with multimodal analytics to create more responsive educational systems.
Dr. Abolfazl Zaraki is a Senior Lecturer in AI and Robotics at the University of Hertfordshire's Department of Computer Science, part of the School of Physics, Engineering & Computer Science. He leads the Robotics Research Group and previously held roles at Cardiff University's School of Engineering and the IROHMS Research Centre. His academic journey includes a Master's in Mechatronics from University Technology Malaysia (2010) and a PhD in Automatic Robotic and Bioengineering from the University of Pisa (2014). He has held Research Fellow positions in Italy and the UK until 2019. Dr. Zaraki's research focuses on AI-driven autonomous systems, social robotics, and assistive technologies. Key projects include the EASEL, BabyRobot, and JAMES EU initiatives, alongside the Innovate UK-funded InSight project. His work emphasizes Human-Robot Interaction (HRI), trusted autonomy, and applications in healthcare and industrial contexts. Notable contributions include the development of the Kaspar humanoid robot for autism therapy and advancements in reinforcement learning for robotic control. His recent publications (2021–2025) explore agentic AI, memory-driven systems, and personalized LLMs for HRI, alongside technical advancements in robotic control, communication systems, and bio-inspired robotics. His research bridges theoretical AI innovation with practical applications in healthcare, education, and industrial automation. Zaraki has collaborated internationally across institutions and industry partners, contributing to 35+ research outputs. His work aligns with global trends in ethical AI, explainable systems, and human-centric robotics design.
Dr. Sherif Haggag serves as the Director of Teaching Operations and Course Advisor in the Department of Computer Science at the School of Computer and Mathematical Sciences, Faculty of Sciences, Engineering and Technology, University of Adelaide. His research focuses on human-centered aspects of software engineering and cybersecurity, with particular emphasis on: Human-centered software engineering and Adaptive User Interfaces Human factors and social engineering in Cybersecurity Persistence of the privacy Paradox and Cybersecurity behavior Digital health and smart software systems Domain-specific Visual Languages and Model-driven Engineering Smart home technologies and Digital Enhanced Living Agile methods (Scrum, SAFe, Kanban, Lean, large-scale agile) Human ergonomics using Sensor and depth cameras BCI applications Socio-technical aspects of Cybersecurity Dr. Haggag's work centers on addressing how software engineering can better account for diverse human characteristics including personality, gender, ethnicity, cultural backgrounds, emotional reactions, age, motivation, values, hidden biases, and physical & mental challenges. He also investigates social aspects related to collaboration, teamwork, leadership, and management. Dr. Haggag is eligible to supervise Master's and PhD students, though he notes he has limited capacity for supervision. He encourages prospective students to contact him to discuss availability and mentions that he enjoys 'thinking out of the box' through team brainstorming approaches.
Peyman Mirtaheri is a Professor at the Department of Mechanical, Electronics and Chemistry (MEK) under the Faculty of Technology, Art and Design at Oslo Metropolitan University (OsloMet). He also holds an Adjunct Professor position at the Faculty of Biomedical Engineering at Michigan Technological University, USA. His primary role involves teaching courses such as Medical Sensors and Actuators (ACIT4720) and the upcoming BioInspired Systems (fall 2025). Research Interests: Professor Mirtaheri leads the ADEPT lab (ADvanced hEalth intelligence and brain-insPired Technologies) and ADEPT_technology, focusing on: Developing measurement techniques for brain activity detection and analysis Applying fNIRS (functional near-infrared spectroscopy) and EEG (electroencephalography) to study movement, balance, and cerebral cortex activity Advancing bio-inspired systems and health technology Key Projects: His active research includes Use of 3D printers in future rehabilitation (knowledge-based and patient-centered solutions) and completed work on Brain activity during walking and balance . Labs & Collaborations: He integrates his optical/NIRS laboratory into OsloMet's ADEPT lab, collaborating with institutions like Michigan Technological University and contributing to global conferences such as the IEEE International Symposium on Circuits and Systems and the ISPO World Congress .
Dr. Adam Sachs is an Associate Professor of Surgery in the Division of Neurosurgery at the University of Ottawa's Faculty of Medicine, where he also serves as an Assistant Professor at the Brain and Mind Research Institute. Additionally, he is an Adjunct Professor of Systems and Computer Engineering at Carleton University. Dr. Sachs is a Neurosurgeon at The Ottawa Hospital and serves as the Director of Neuromodulation and Functional Neurosurgery. Dr. Sachs completed his Bachelor of Science at McGill University in physiology and math, and a Master of Science at York University in applied mathematics researching mechanisms of human edge detection. During his neurosurgery residency at the University of Ottawa he participated in the Clinical Investigator program, performing neurophysiology and brain computer interface research in non-human primates. He was a Clinical Instructor in Functional and Spine neurosurgery at Stanford University from 2010 to 2012. His research focuses on using brain-computer interface (BCI) technology to help individuals with movement disorders. His work explores how real-time feedback of brain signals can enable participants to control external effectors such as robotic arms or virtual reality objects. This approach shows potential for inducing plasticity that provides symptom recovery for conditions like Parkinson's Disease, focal dystonia, and essential tremor, as well as offering communication channels for individuals with severe disabilities. Dr. Sachs' research spans neuroscience, neurosurgery, and engineering disciplines, with particular emphasis on neural signal processing, brain-computer interfaces, and neuromodulation techniques. His publication record demonstrates expertise in prefrontal cortex function, neural decoding, and the development of practical BCI systems that bridge clinical applications with fundamental neuroscience research. Associate Professor of Surgery, Division of Neurosurgery, University of Ottawa Assistant Professor, Brain and Mind Research Institute, University of Ottawa Adjunct Professor, Systems and Computer Engineering, Carleton University Director of Neuromodulation and Functional Neurosurgery, The Ottawa Hospital Associate Scientist, Neurosciences, Ottawa Hospital Research Institute Dr. Sachs supervises graduate students including Alireza Rouzitalab and Min Wah Leung, and leads the Sachs Lab which focuses on innovative approaches to neurorehabilitation and brain-computer interfaces. His research has significant clinical implications for treating movement disorders and restoring function to individuals with neurological disabilities.
Andreea Sburlea is an Assistant Professor in Human Centered Intelligence at the Faculty of Science and Engineering, University of Groningen . Her expertise focuses on Brain-Computer Interfaces , Machine Learning , and Neuroprosthetics , with a particular emphasis on uncertainty quantification in BCI systems. Research Trends : Recent publications highlight her work in applying machine learning and deep learning to motor imagery BCI, transfer learning for P300-based systems, and quantifying classification uncertainties in biosignal applications. Collaborations : Active in international research networks, she collaborates with institutions like the German Research Center for Artificial Intelligence (DFKI) and contributes to conferences such as the Graz Brain-Computer Interface Conference . Contact : Email a.i.sburlea@rug.nl | ORCID
Bob Kirsch serves as Professor and Department Chair of Biomedical Engineering at Case Western Reserve University, where he also directs the Cleveland FES Center. His research focuses on restoring motor function for paralyzed individuals through neural engineering innovations in brain-computer interfaces and functional electrical stimulation systems. His educational background includes: Ph.D. in Biomedical Engineering from Northwestern University M.S. in Biomedical Engineering from Northwestern University (1986) B.S. in Electrical Engineering from the University of Cincinnati (1982) Dr. Kirsch's research spans intracortical brain-computer interfaces for movement restoration, neural decoding algorithms for grasp force and speech, and functional electrical stimulation integration with BCI systems. His work emphasizes closed-loop control architectures , artifact reduction in neural recordings , and reinforcement learning approaches for neuroprosthetic control, targeting clinical translation for tetraplegia rehabilitation. Analysis of his 2016-2020 publications reveals consistent focus on improving BCI calibration speed, enhancing movement decoding accuracy, and developing robust systems for real-world use. Key trends include leveraging human-generated rewards for controller training, addressing signal-independent noise limitations, and creating hybrid approaches combining cortical recordings with FES for functional movement restoration. His recognition includes: Faculty Distinguished Research Award from Case Western Reserve University (2023) As Department Chair and Cleveland FES Center Director, Dr. Kirsch leads multidisciplinary teams developing next-generation neuroprosthetics. His research program, supported by NIH and NSF grants, trains graduate students in neural engineering while advancing clinical applications through the BrainGate consortium collaboration. Current efforts focus on improving BCI communication rates and expanding movement restoration capabilities for paralyzed individuals. The Cleveland FES Center under his direction serves as a hub for neuroprosthetics innovation, integrating expertise in neural signal processing, biomechanics, and clinical rehabilitation to develop practical solutions for restoring lost motor function through implanted and non-invasive technologies.
Professor Damien Coyle is a leading academic at Ulster University , holding the title of Professor of Neurotechnology and serving as Director of the Intelligent Systems Research Centre (2017-2022) and Research Director in the School of Computing, Engineering and Intelligent Systems. He also leads the Cognitive Analytics Research Laboratory (CARL) and directs Ulster’s Spatial Computing and Neurotechnology Innovation Hub (SCANi-hub) . His research focuses on AI-driven brain-computer interface (BCI) development , translating electrophysiological signals into control signals for applications in rehabilitation, diagnostics, assistive communication, and entertainment. With over 190 publications and an h-index of 31, he pioneered wearable neurotechnology through his spinout company NeuroCONCISE Ltd (founded 2016). 2008 IEEE CIS Outstanding Doctoral Dissertation Award 2011 INNS Young Investigator of the Year 2018 IET Innovation Award Over £18m in external grants Co-investigator for Northern Ireland Functional Brain Mapping Facility As a IEEE Senior Member and founder of the International Brain-Computer Interface Society , he bridges academic research with industrial applications through projects like AI for Intelligent Neurotechnology and Smart Nano-Manufacturing Corridor .
Lee E Miller is a Professor in the Department of Physical Medicine and Rehabilitation at Northwestern University's Feinberg School of Medicine, with research spanning neural mechanisms of movement control and neuroprosthetic development for spinal cord injury rehabilitation. Education: PhD from Northwestern University (1990) Postdoctoral Fellow at University of Nijmegen (1992) His work focuses on deciphering the brain's "language" for movement commands, understanding neural network dynamics, and translating these principles into therapeutic applications. Key research areas include spinal cord injury rehabilitation, neural engineering, and brain-computer interface development, with collaborations spanning Biomedical Engineering and the Interdepartmental Neuroscience Program (NUIN). Recent publications (2025) reveal strong emphasis on clinical translation of neural interfaces, featuring studies on intracortical microstimulation safety, advanced neural probe mechanics, customizable body-machine protocols, and stability optimization through latent dynamics alignment—demonstrating integration of fundamental neuroscience with engineering solutions. Scientific recognition includes: Elected fellow in the American Institute for Medical and Biological Engineering (2016) Senior Visiting Fellow, Institute of Neurology, University College London (2002) European Community ESPRIT II Post Doctoral Fellowship (1990) Murphy Fellowship, Northwestern University (1981) Research Fellowship at Turner Precision X-ray Measurements Lab (1978) Miller has mentored numerous students and postdocs throughout his career, now transitioning the Miller Limb Lab from animal research to computational analysis and a final major project developing muscle-based BCIs for spinal cord injury patients through collaborations with Cortical Bionics and Shirley Ryan AbilityLab. His Miller Laboratory of Limb Motor Control remains an active interdisciplinary hub after nearly four decades, currently focusing on human applications while winding down primate studies but maintaining data analysis and new computational projects with a reduced team.
Tom Francart is a Professor at the Department of Neuroscience, Faculty of Medicine, KU Leuven. He leads research in auditory attention, EEG decoding, and speech processing, with affiliations to iSi Health, LBI (KU Leuven Brain Institute), and Leuven.AI. His research focuses on: Neural decoding of auditory attention using EEG Objective measures for aphasia and hearing impairment Brain-computer interfaces for hearing aids Audiovisual integration in speech perception Machine learning applications in auditory neuroscience Recent publications analyze neural tracking of speech in aphasia, transformer-based EEG decoding, and audiovisual context integration. He supervises projects on cochlear implants, attention decoding algorithms, and post-stroke recovery.
Aya Khalaf is an Associate Research Scientist at the Yale School of Medicine, affiliated with the Blumenfeld Lab and the Janeway Society. Her research focuses on understanding neural mechanisms of consciousness, brain-computer interfaces, and machine learning applications in healthcare. She collaborates with leading institutions and researchers globally on studies involving EEG, fTCD, and neuroimaging techniques. Key research interests include auditory and visual perception networks, impaired consciousness in epilepsy, and hybrid BCI systems. Her work bridges cognitive neuroscience with engineering, aiming to translate findings into clinical tools. Notable collaborations include projects with Hal Blumenfeld, Dennis Spencer, and international teams testing consciousness theories. Publications highlight advancements in neural activity analysis, BCI calibration optimization, and multimodal signal processing. Her contributions span theoretical neuroscience frameworks and applied biomedical engineering solutions.
