Epileptogenic Zone Localization Professors and Supervisors | ApplySharif

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Birgit FrauscherView profile

Professor

Duke UniversityUnited States

Dr. Birgit Frauscher is the Lincoln Financial Group Distinguished Professor in Neurobiology at Duke University School of Medicine, where she serves as Professor of Neurology and holds a secondary appointment in the Department of Biomedical Engineering at the Duke Pratt School of Engineering. She is currently the Director of the Duke Comprehensive Epilepsy Center and leads the Analytical Neurophysiology (ANPHY) Lab. Her clinical and research work focuses on epilepsy and sleep medicine, utilizing both invasive and non-invasive electrical recordings to study brain activity in humans. Dr. Frauscher completed her medical training, neurology residency, and subspecialty training in electroencephalography, epilepsy, and sleep medicine at the Medical University of Innsbruck in Austria. After completing her clinical training in 2008, she earned her habilitation degree in 2011. She further specialized in intracranial EEG and signal analysis during a visiting professorship at the Montreal Neurological Institute and Hospital, McGill University (2013-2015), where she later served as an Attending Epileptologist and Group Leader of Epilepsy. Her research interests focus on developing novel seizure-independent EEG markers for the epileptogenic zone, investigating sleep-epilepsy interactions, and using intracranial EEG to study brain physiology during wakefulness and sleep. Her work aims to improve epilepsy diagnosis, prognosis, and treatment outcomes by better localizing the epileptic focus. Dr. Frauscher's recent publications demonstrate her continued leadership in epilepsy research, with over 170 peer-reviewed papers and an H-index of 62. Dr. Frauscher has received several prestigious awards including the Clinician-Scientist awards of the FRSQ (2018-2023), the Michael Prize of the International League against Epilepsy (2019), and the Ernst Niedermeyer Prize from the Austrian Epilepsy Society (2015). Her scholarly work has significantly advanced clinical knowledge in epilepsy and sleep medicine, establishing her as a leading figure in the field. As Director of the Duke Comprehensive Epilepsy Center and head of the ANPHY lab, Dr. Frauscher oversees a research program dedicated to advancing neuroscience through innovative approaches to studying brain activity. Her lab employs quantifiable tools to investigate neurophysiological and pathological processes related to epilepsy and sleep, with the ultimate goal of improving patient outcomes through better understanding of brain function.

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Aria FallahView profile

Assistant Professor

University of California, Los AngelesUnited States

Dr. Aria Fallah, MD, is an Assistant Professor in Neurosurgery at the University of California, Los Angeles (UCLA), with secondary appointments in Health Policy and Management. His research focuses on Evidence-Based Surgery , Clinical Trials , and Meta-Analyses for pediatric epilepsy surgery outcomes, including prognostic tools and comparative effectiveness studies . He actively participates in international collaborations like the CTSI and has published extensively in journals such as Epilepsia , Neurology , and Clinical Neurophysiology . University: University of California, Los Angeles Department: Neurosurgery Email: afallah@mednet.ucla.edu Dr. Fallah’s research integrates machine learning and deep learning to analyze high-frequency oscillations in epilepsy, aiming to refine diagnostic and therapeutic strategies. His recent work includes developing tools like PyHFO for oscillation detection and HOPS calculator for predicting seizure freedom after hemispherectomy. His publications highlight collaborations across institutions in pediatric epilepsy surgery , hemimegalencephaly , and thalamic neuromodulation . While no explicit awards or student advisement are listed, his contributions span clinical trials , neuroimmunology , and global neurosurgery initiatives , including work in Haiti.

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Jerome EngelView profile

Professor

University of California, Los AngelesUnited States

Jerome Engel, M.D., Ph.D. is a Professor at the Jane and Terry Semel Institute for Neuroscience and Human Behavior , University of California, Los Angeles (UCLA). He serves as Director of the Epilepsy Telemetry Unit within the Seizure Disorder Center and is a member of the Brain Research Institute and the Neuroscience GPB Home Area. His work spans neurology, psychiatry, and biomedical research. Research Focus: Epilepsy, epileptogenesis, high-frequency oscillations (HFOs), neuroimaging, surgical interventions, and biomarker development. Key Contributions: Pioneering studies on fast ripples as biomarkers, network-based surgical outcome prediction, and advanced HFO detection algorithms. Publications (15 most recent) address topics such as kainic acid models of epileptogenesis, thalamic sleep spindles in pediatric epilepsy, self-supervised HFO analysis, and graph theoretical measures for surgical planning. His work frequently employs medRxiv and Epilepsia as platforms for translational findings. Contact: engel@ucla.edu

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Andrzej MajkowskiView profile

Associate Professor

Bydgoszcz University of Science and TechnologyPoland

Andrzej Majkowski is an Associate Professor at the Institute of the Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering, Warsaw University of Technology. His career spans over two decades of research in biomedical engineering, focusing on brain-computer interfaces, signal processing, and emotion recognition. Active in both teaching and research, he contributes to advancing methodologies in electrophysiological signal analysis. Warsaw University of Technology Institute of the Theory of Electrical Engineering, Measurement and Information Systems Faculty of Electrical Engineering Specializing in biomedical engineering , Majkowski's research bridges control systems and information technologies with neuroscience applications. His work explores brain-computer interfaces , EEG/EMG signal processing , and emotion recognition using multimodal physiological data. Recent studies focus on deep learning architectures for artifact removal and classification tasks. Recent publications highlight trends in CNN-LSTM hybrid models for signal denoising, convolutional networks for seizure detection, and machine learning applications in visual evoked potential analysis. His work spans both clinical applications (epilepsy monitoring) and human-computer interaction (emotion recognition, sign language detection). With over 98 documented publications and significant bibliometric indicators (h-index 13 in Scopus), Majkowski has supervised 95 promoted theses. His research includes one funded project and collaborations in biomedical instrumentation, though specific award details remain unspecified in available records.

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Mark KramerView profile

Professor

Boston UniversityUnited States

Mark Kramer is a Professor in the Department of Mathematics & Statistics at Boston University. He belongs to the Applied Mathematics research group, focusing on mathematical, statistical, and machine learning approaches to characterize brain activity. His work bridges data-driven neuroscience with computational methods, exploring topics like biophysical models of neurons, field models of neural populations in epilepsy, and theoretical questions about brain rhythms. His research interests include: Biophysical modeling of single-neuron dynamics Neural population activity in pathological states Machine learning for detecting abnormal brain rhythms Analysis of cross-frequency coupling and coherence Kramer has developed educational resources like Case Studies in Neural Data Analysis using both MATLAB and Python. These materials teach practical data analysis techniques for spike trains and field data, emphasizing hands-on implementation over theoretical mathematics. He has received funding from NIH and NSF for computational neuroscience projects. His recent publications focus on epilepsy research, sleep spindle analysis, and neural signal processing. The work spans from developing statistical frameworks to understanding network dynamics in seizure termination and exploring phase consistency in neural data. Notably, his coherence studies revealed non-intuitive coupling patterns between brain regions, demonstrating that low-amplitude rhythms can be more informative than dominant ones.

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Xue HanView profile

Professor

Boston UniversityUnited States

Xue Han is a Professor of Biomedical Engineering at Boston University (BU), affiliated with the Han Lab. His primary academic appointment is in the Biomedical Engineering department, with additional affiliations in Neuroscience & Neuroengineering, and Photonics & Optical Systems. He holds a PhD in Physiology from the University of Wisconsin-Madison and a B.S. in Biophysics from Beijing University, China. Dr. Han’s research focuses on addressing unmet medical needs in brain disorders by developing novel neuromodulation therapies. His work combines genetic, molecular, pharmacological, optical, and electrical tools to study neural circuit dynamics, with a particular emphasis on optogenetics and optical neural modulation. Key projects include pioneering light-based neuron silencing techniques and pre-clinical testing of neurotechnologies like transcranial ultrasound stimulation. His lab investigates how neural synchrony contributes to cognition and pathology, aiming to link neural activity to behaviors like movement, attention, and decision-making. His recent publications emphasize high-frequency electrical stimulation effects, membrane voltage imaging, and the impact of neuromodulation on brain rhythms. Notable themes include the role of PV neurons in cortical coding, ultrasound-based neuron activation, and the interplay between neural oscillations and disease states. While no formal awards are listed, his prolific output highlights contributions to neurotechnology and systems neuroscience. Dr. Han’s lab develops advanced imaging tools like targeted-illumination confocal microscopy (TICO) and collaborates on projects involving exosome-mediated therapies and brain-computer interfaces. Ongoing work explores translational applications of neurophotonic tools and the mechanistic basis of neuromodulation therapies for disorders like Parkinson’s and epilepsy.

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Edward F. ChangView profile

Professor

University of California, San FranciscoUnited States

Edward F. Chang, MD is a distinguished Professor and Chair of the Department of Neurological Surgery at the University of California, San Francisco (UCSF) School of Medicine. He co-directs the Center for Neural Engineering and Prostheses, a collaborative enterprise between UCSF and UC Berkeley, and leads the Chang Lab focused on speech neuroscience and neural engineering. As a practicing neurosurgeon, he specializes in treating adults with difficult-to-control epilepsy, brain tumors, trigeminal neuralgia, hemifacial spasm, and movement disorders. Dr. Chang's educational background includes a B.A. in Chemistry from Amherst College (1997), an M.D. from UCSF (2004), a Neurological Surgery residency at UCSF (2010), and a postdoctoral fellowship in Cognitive Neuroscience at UC Berkeley (2009). His research focuses on the brain mechanisms for speech, movement, and learning, with particular emphasis on advanced brain mapping methods to preserve crucial areas for speech and motor functions. He has pioneered work in speech neuroprostheses, developing technology that allows patients with paralysis to communicate through brain signals. His work integrates engineering, neurology, and neurosurgery to develop state-of-the-art biomedical technology to restore function for patients with neurological disabilities such as paralysis and speech disorders. Analysis of his recent publications reveals a strong trend toward developing advanced neuroprosthetic technologies, particularly speech decoding systems, and exploring the neural basis of speech production across multiple languages. His research also spans epilepsy surgery optimization, deep brain stimulation for psychiatric conditions, and molecular profiling of brain tumors. Blavatnik National Laureate for Life Sciences (2015) Elected to the National Academy of Medicine (2020) Inaugural Bowes Biomedical Investigator at UCSF HHMI Faculty Scholar Dr. Chang leads multiple NIH-funded research projects totaling millions of dollars, including a pilot clinical trial for speech neuroprosthesis and studies on the neural coding of speech across human languages. He has mentored numerous researchers in the field of neural engineering and speech neuroscience, though specific student names aren't listed in the provided materials. His work has resulted in groundbreaking technologies that have helped restore communication abilities to individuals with paralysis. As co-director of the Center for Neural Engineering and Prostheses, Dr. Chang leads a multidisciplinary team of engineers, neurologists, and neurosurgeons working at the intersection of neuroscience and technology. His lab has been instrumental in developing brain-computer interfaces that translate neural activity into speech, with recent publications demonstrating streaming brain-to-voice neuroprostheses that restore naturalistic communication.

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David CarmichaelView profile

Professor

King’s College LondonUnited Kingdom

Professor David Carmichael is a distinguished academic at King's College London , affiliated with the School of Biomedical Engineering & Imaging Sciences and the Department of Biomedical Computing . His research focuses on Magnetic Resonance Imaging (MRI) Physics , EEG-fMRI integration , and epilepsy neuroimaging , with a particular emphasis on mapping epileptogenic networks and optimizing MRI safety for concurrent neurophysiological recordings. Education : PhD in Medical Physics (UCL, 2004), MSci in Physics (UCL, 2000). External Role : Honorary Reader at UCL Great Ormond Street Institute of Child Health. His research interests span advanced neuroimaging techniques, including 7T MRI for pediatric epilepsy, quantitative susceptibility mapping to detect cortical abnormalities, simultaneous EEG-fMRI safety protocols, network-guided neuromodulation for treatment optimization. Recent publications highlight his work on ultra-high field MRI in drug-resistant pediatric cohorts, RF-induced heating safety during combined EEG-fMRI, image quality transfer for low-field MRI in developing regions, motion correction strategies in pediatric scans. He leads critical projects such as 7 Tesla Sodium MRI for Epilepsy (MRC-funded) and Minimal Motion MRI Systems (NIHR-funded), while contributing to global epilepsy research through the King’s Epilepsy Research Collective (KERC) .

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Christophe GrovaView profile

Professor

Concordia UniversityCanada

Christophe Grova , Professor in the Department of Physics at Concordia University and scientific lead of the PERFORM physiology platform , is a multidisciplinary researcher at the intersection of Biomedical Engineering , Neuroscience , and Medical Physics . He directs the Multimodal Functional Imaging Laboratory , focusing on advanced neuroimaging techniques like EEG/MEG , fMRI , and fNIRS to study brain mechanisms in epilepsy and sleep . His work emphasizes multimodal data fusion to uncover neurovascular coupling and functional connectivity patterns, with software developments such as MEM and NIRSTORM enhancing analysis precision. Key Research Areas : Epilepsy, Sleep Studies, Neuroimaging, Computational Neuroscience, Multimodal Data Fusion Affiliations : Full Professor at Concordia University (Physics), Adjunct Professor at McGill University (Biomedical Engineering, Neurology and Neurosurgery). Scientific Awards : Not explicitly listed in the provided text. Software Contributions : Developed MEM (EEG/MEG source localization) and NIRSTORM (fNIRS analysis) for open-source platforms like Brainstorm .

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Christophe GrovaView profile

Associate Professor

McGill UniversityCanada

Christophe Grova is an Associate Professor at the Department of Neurology and Neurosurgery at McGill University , with adjunct status in the Department of Biomedical Engineering . He leads the Multimodal Functional Imaging Laboratory , focusing on integrating EEG, MEG, fMRI, and fNIRS to study brain mechanisms in epilepsy and sleep disorders. Expertise in multimodal neuroimaging techniques Develops advanced source localization algorithms Key applications in epilepsy diagnosis and sleep physiology His research bridges neuroimaging and clinical translation , with a focus on: EEG-fNIRS integration for whole-night sleep monitoring Validation of MEG and fMRI connectomes with intracranial EEG Computational modeling of neuron-astrocyte interactions Development of open-source tools like NIRSTORM The lab collaborates across institutions, including the McConnell Brain Imaging Centre and Concordia University . Current projects emphasize glymphatic system dynamics , epileptogenic zone localization , and neurovascular coupling mechanisms.

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Pierre MégevandView profile

Professor

University of GenevaSwitzerland

Pierre Mégevand is a Professor and group leader at the Faculty of Medicine, University of Geneva, where he leads the Human Neuron Lab. His research is centered on understanding the neural mechanisms underlying human cognition and epilepsy, using intracranial recordings from awake patients. He is actively involved in both clinical and basic neuroscience research, with a focus on speech, language, and seizure dynamics. His research interests span cognitive neuroscience, clinical neurophysiology, and neuroengineering. He investigates how neurons encode sensory stimuli and behavioral responses, particularly in the context of speech and language. His lab uses stereo-EEG and microelectrode recordings to identify seizure-specific neural patterns and develop patient-tailored biomarkers for seizure detection and prediction. Key areas include multisensory integration, functional brain networks in epilepsy, and neural decoding of imagined speech. His recent publications reflect a strong trend in human intracranial electrophysiology, with studies on audiovisual illusions, electrode localization tools, functional networks in epilepsy, and neural correlates of speech and emotion. His work combines clinical data with advanced computational methods to uncover the dynamics of human brain function. Among his scientific contributions are methodological advancements and clinical insights in epilepsy monitoring and treatment. Though no specific awards are listed, his publications in top journals like Nature Communications and Epilepsia indicate high recognition in the field. Mégevand advises graduate students and postdoctoral researchers, including Lora Fanda and Jonathan Monney. His lab collaborates on grants related to neurotechnology, brain-computer interfaces, and epilepsy research, though specific grant details are not provided. He is part of a multidisciplinary team at the University of Geneva that includes engineers, neurologists, and neurosurgeons. The Human Neuron Lab, based at the Centre Médical Universitaire (CMU), is equipped for advanced human electrophysiology studies. The team includes a master assistant, graduate students, and postdoctoral researchers, reflecting an active and collaborative research environment focused on translational neuroscience.

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Dora Hermes MillerView profile

Associate Professor

Mayo Clinic College of Medicine and ScienceUnited States

Dora Hermes Miller is an Associate Professor of Biomedical Engineering and holds Senior Associate Consultant II-Research roles in the Departments of Physiology & Biomedical Engineering, Radiology, and Neurology at Mayo Clinic. Her research focuses on human systems neuroscience, integrating multimodal imaging and computational modeling to understand neural signals in neurological and neuropsychiatric diseases. She collaborates with clinicians to develop therapeutic neuromodulation technologies and neuroprosthetics. Education includes a PhD from Utrecht University (Brain Center Rudolf Magnus) and postdoctoral fellowships at Stanford University, New York University, and UMC Utrecht. Her work emphasizes reproducible research practices, with contributions to neuroimaging standards like BIDS-iEEG and open source tools for electrode localization. Research interests span multimodal imaging integration, network dynamics via electrical stimulation, neural oscillations, and translational applications of brain-machine interfaces. Her lab explores how electrical stimulation modulates human connectomes, with implications for epilepsy treatment and psychiatric conditions. Collaborative efforts bridge clinical neurology, neurosurgery, and computational neuroscience. Awards and recognitions are not explicitly listed in the provided text. Her work has advanced understanding of somatotopic motor representations, limbic circuit modulation, and cortical stimulation effects, with over 70 peer-reviewed publications in journals like NeuroImage and Brain. Current projects include developing closed-loop neuromodulation systems, optimizing ECoG/MEG-fMRI integration, and advancing ethical brain-computer interface applications. She leads the Mayo Clinic NeuroEngineering Lab and participates in collaborative initiatives to standardize neuroelectrophysiological data sharing.

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Hakmook KangView profile

Associate Professor

Vanderbilt UniversityUnited States

Hakmook Kang, PhD, is an Associate Professor of Biostatistics at Vanderbilt University Medical Center, where he holds multiple leadership positions including Director of the Data Science Core at the Vanderbilt Kennedy Center and Associate Director for Graduate Studies at the Data Science Institute. His academic appointments reflect significant contributions to quantitative methodologies in medical research. Education: Ph.D. in Biostatistics from Brown University M.S. in Statistics from the University of Rhode Island M.S. in Pharmaceutical Science from the University of Rhode Island B.S. in Chemical Engineering from the University of Minnesota Research Focus: Dr. Kang specializes in developing advanced statistical methods for complex biomedical data, particularly spatio-temporal modeling and multiple testing frameworks applied to neuroimaging. His interdisciplinary work bridges biostatistics, neuroscience, and machine learning, with applications spanning Parkinson's disease, epilepsy, dementia, diabetes, and cancer diagnostics. Current investigations focus on brain connectivity patterns, neuroimaging biomarkers, and radiomics for tumor classification. Publication Trends: Recent articles (2024-2025) demonstrate methodological innovation in neuroimaging analysis, particularly fMRI and PET data processing, with strong clinical applications in neurology and oncology. Recurring themes include Parkinson's pathophysiology, epilepsy networks, diabetes progression biomarkers, and machine learning applications in radiology. Institutional Roles: Director, Data Science Core (Vanderbilt Kennedy Center) Associate Director for Graduate Studies (Data Science Institute) Affiliated with Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Vanderbilt Technologies for Advanced Genomics (VANGARD)

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Sheng WangView profile

Visiting Professor

Aalto UniversityFinland

Sheng Wang serves as a Visiting Faculty member in the Department of Neuroscience and Biomedical Engineering at Aalto University's School of Science. His research bridges neuroscience, biomedical engineering, and computational approaches to understand brain function and disorders. Dr. Wang's research focuses on brain criticality, neuronal synchronization, and network dynamics using advanced neuroimaging techniques including magnetoencephalography (MEG) and electroencephalography (EEG). His work particularly examines these phenomena in the context of epilepsy and neurodegenerative disorders like Parkinson's disease. He applies computational approaches including machine learning to analyze complex brain network data and develop biomarkers for clinical applications. His publication record shows a clear trajectory focusing on brain network dynamics, with recent work exploring cortical criticality changes in neurodegenerative conditions and developing novel computational methods for epileptogenic zone localization. His research demonstrates strong interdisciplinary collaboration across neuroscience, engineering, and clinical medicine. Dr. Wang has contributed to significant datasets including the 'Modules in Human Electrophysiological Connectomes of Phase-Synchronization,' supporting open science in neuroscience research. His work contributes to UN Sustainable Development Goals related to good health and well-being through advancing understanding of neurological disorders.

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Terence O'BrienView profile

Professor

Monash UniversityAustralia

Terence O'Brien is a Professor of Neuroscience at Monash University, serving as Chair of Medicine (Neurology) and Head of the School of Translational Medicine. He holds roles such as Program Director of Alfred Brain and Deputy Director of Research at Alfred Health. His career includes former positions like Van Cleef Roet Chair of Neuroscience (2017-2020) and James Stewart Chair of Medicine at the University of Melbourne (2008-2017). He trained at St. Vincent’s Hospital, Royal Melbourne Hospital, and the Mayo Clinic. Education and Clinical Background: Clinical and research training at St. Vincent’s and Royal Melbourne Hospitals, followed by advanced training at the Mayo Clinic (1995-1998). Served as Immediate Past President of the Epilepsy Society of Australia. Research Interests: Focuses on epilepsy, neurodegenerative diseases, neuropharmacology, and translational research. Key contributions include developing the SISCOM imaging technique for epilepsy surgery, leading the Australian Pregnancy Register on antiseizure medications, and pioneering bioengineering devices for neurological disorders. His work spans preclinical drug development, clinical trials, and neuroimaging innovations. Articles Trends: Recent publications emphasize biomarkers in traumatic brain injury, personalized epilepsy treatment protocols, and neurodegenerative mechanisms. Key themes include precision medicine, epilepsy surgery outcomes, and translational neurotechnology. Awards: 18 international awards, including the James Lance Oration (2023), Fritz E. Dreifuss Lecture (2022), and Ambassador for Epilepsy Award (2017). Advising & Grants: Supervised 58 PhD students, 11 masters students, and numerous postdoctoral researchers. Currently mentoring 20 PhD candidates and 14 postdoctoral fellows. Leads over 134 active or completed projects, including clinical trials for BHV-7000 and CB03-154 in epilepsy. Labs/Teams: Directs the O’Brien Group at Monash University, focusing on translational neuroscience. Collaborates internationally in epilepsy research and clinical trials.

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