جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Nanoscience
• Neural Engineering
• +۳ مورد دیگر

Dr. Krishna Jayant serves as Assistant Professor of Biomedical Engineering in Purdue University's College of Engineering, where he joined in 2019. His research bridges nanoscience and neuroscience to develop advanced neural interfaces and imaging tools for studying neural circuit computation. Education background: Bachelor of Engineering in Electrical Engineering, National Institute of Technology (NIT), India Master of Science in Electrical Engineering, Cornell University Doctor of Philosophy in Electrical Engineering, Cornell University His primary research focuses on creating nanoprobes and integrated electronic systems that integrate with two-photon microscopy and electrophysiology to investigate how synaptic and dendritic mechanisms influence neural circuit function. This interdisciplinary work combines electrical engineering, materials science, and neuroscience to decode fundamental neural computation processes in both healthy and diseased states. Analysis of his 15 most recent publications reveals dominant themes in dendritic computation, neural circuit dynamics, and neurodegenerative disease mechanisms. Key trends include the development of conductive polymer neural interfaces, energy-efficient wireless implants using biphasic quasistatic communication, and advanced techniques like two-photon holographic uncaging to probe dendritic integration in Parkinson's disease models and sensory processing. Scientific Awards: While specific current advisees aren't listed, Dr. Jayant's program at Purdue likely involves mentoring graduate students in neural engineering. His innovative work in neural interfaces and circuit analysis is expected to attract significant research funding from agencies like NIH and NSF, though specific grants aren't detailed in available materials. Dr. Jayant leads a laboratory that develops cutting-edge tools including flexible electrodes for multimodal neural recording and nanoprobes for intracellular electrophysiology. His team maintains active collaborations with Columbia University and the University of Bologna to translate fundamental neuroscience discoveries into applications for neurological disorders and brain-computer interfaces.

Shona Mookerjeeمشاهده پروفایل

دانشیار

• Mitochondrial Biology
• Bioenergetics
• Cellular Respiration
• +۳ مورد دیگر

Shona Mookerjee, PhD, serves as an Associate Professor in the Department of Basic Sciences at Touro University's College of Osteopathic Medicine. Her research program focuses on mitochondrial bioenergetics and cellular energy metabolism, with significant implications for understanding metabolic disorders and cancer pathophysiology. Education Ph.D. in Molecular Genetics, University of Rochester, Rochester, NY (2006) B.A. in Biology and Environmental Science, Carleton College, Northfield, MN Research Expertise Dr. Mookerjee's laboratory specializes in quantitative analysis of mitochondrial function , particularly in measuring ATP production rates through glycolytic and oxidative pathways. Her work investigates succinate-driven energy release mechanisms , mitochondrial dynamics in metabolic diseases , and metabolic reprogramming in cancer cells . She has developed advanced methodologies for plate-based respiration measurements and cellular energetics profiling, contributing to fundamental understanding of bioenergetic regulation in health and disease states. Publication Trends Her 2017-2021 publications reveal consistent focus on mitochondrial bioenergetics quantification across diverse biological contexts. Key themes include metabolic adaptations in breast cancer (MCF7 cells), mitochondrial carrier functions in lipogenesis, and glucose-sensing mechanisms in pancreatic beta cells. Her collaborative work with Martin Brand's group has established standardized approaches for ATP production measurement, appearing in journals spanning cell biology, oncology, and endocrinology. Professional Profile No scientific awards or specific grant funding details were documented in the provided profile. While her faculty position implies student mentorship responsibilities, no advisees were listed. Her research directly supports Touro's Diabetes Certificate and Primary Care Fellowship programs through foundational metabolic insights.

Jessica Peterمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Memory Processes
• Aging and Cognition
• +۵ مورد دیگر

Dr. Jessica Peter is an Associate Professor at the University of Bern's Medical Faculty, where she serves as Head of Research at the University Hospital of Old Age Psychiatry and Psychotherapy. Her academic journey includes positions as Group Leader and Senior Researcher at the same institution since 2018, following postdoctoral work at the University Medical Center Freiburg. Her educational background includes a PhD in Psychology from the University of Freiburg (2011-2014) and a Diploma in Psychology from the University of Bamberg (2006-2011). She completed her habilitation at the University of Bern in 2019. Dr. Peter's research focuses on cognitive functions in aging, with particular emphasis on memory processes in both healthy adults and clinical populations. Her work integrates multiple methodologies including non-invasive brain stimulation (particularly transcranial direct current stimulation), functional magnetic resonance imaging (fMRI), quantitative MRI, real-time fMRI neurofeedback, and blood-based biomarker analysis. Her research group actively investigates how cognitive training and brain stimulation techniques can mitigate age-related cognitive decline and symptoms of neurodegenerative diseases. Analysis of her recent publications reveals a strong focus on prospective memory in aging populations, the application of brain stimulation techniques to enhance cognitive performance in older adults, and the development of diagnostic tools for mild cognitive impairment and Alzheimer's disease. Her work frequently examines how demographic factors like sex, age, and education moderate responses to cognitive interventions. COMET career funding for female scientists (2019) Winner of Outstanding Scientific Work Award (2015) Winner of Outstanding Lectures Award (2012, shared with three colleagues) Dr. Peter leads a research team comprising several PhD students and postdoctoral researchers, and has successfully secured substantial funding from the Swiss National Science Foundation, Empiris Foundation, and other prestigious sources. Her current projects include investigating the role of the prefrontal cortex in remembering and forgetting (SNSF grant 218252), metabolic phenotypes in Huntington's disease (SNSF grant 215269), and cognitive training interventions for Alzheimer's disease. Her research group also contributes to clinical neuroscience initiatives through service on executive committees and graduate school expert panels. Her laboratory employs advanced neuroimaging techniques at ultra-high field strengths (7T MRI) to investigate brain metabolism, neurotransmitter systems, and structural changes associated with aging and neurodegenerative conditions. The group maintains strong collaborations with Amsterdam UMC for blood-based biomarker analysis and with various clinical departments for patient recruitment and assessment.

Treena Livingston Arinzehمشاهده پروفایل

استاد

• Tissue Engineering
• Biomaterials
• Stem Cell Therapy
• +۵ مورد دیگر

Professor Treena Livingston Arinzeh is a Professor of Biomedical Engineering at Columbia University (since 2022) and a co-leader of an Integrated Research Thrust (IRT) as well as Co-director of the NSF Science and Technology Center for Engineering Mechanobiology (CEMB). Previously, she served as Distinguished Professor and founding faculty member at the New Jersey Institute of Technology (NJIT), where she also directed the graduate program and served as interim chair. Education: B.S. Mechanical Engineering – Rutgers University M.S.E. Biomedical Engineering – Johns Hopkins University Ph.D. Bioengineering – University of Pennsylvania Research Focus: Her laboratory ( Tissue Engineering and Active Biomaterials—TEAM Lab ) develops functional biomaterials and tissue engineering strategies to regenerate bone, cartilage, and neural tissues. Central themes include: Allogeneic mesenchymal stem cell (MSC) therapies for bone repair Piezoelectric smart materials that supply electrical cues without external electrodes Glycosaminoglycan-mimetic scaffolds for growth-factor-driven tissue repair Mechanobiology of stem cell fate decisions Scientific Awards & Honors: Presidential Early Career Award for Scientists and Engineers (PECASE) – 2003 Fellow – National Academy of Inventors (2021), AIMBE (2013), BMES (2017) Black Engineer of the Year Educational Leadership Award (2013) Thomas Edison Patent Award (2017) New Jersey Inventors Hall of Fame Award (2013) George Bugliarello Prize (2018) Grants, Leadership & Service: She has secured numerous NSF and Coulter Foundation translational grants, holds 15 issued patents , serves on the editorial boards of Science Advances and Journal of Biomedical Materials Research: Part A , and mentors graduate students and postdocs in the TEAM Laboratory.

• Neural Signal Processing
• Machine Learning for Neuroscience
• Brain Network Modeling
• +۵ مورد دیگر

Dr. Quanying Liu serves as Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology (SUSTech), where she leads the Neural Computing and Control Laboratory (NCC lab) as Principal Investigator and Doctoral Supervisor. Her academic journey includes a PhD from ETH Zurich in Biomedical Engineering, postdoctoral training at Caltech, and research positions at Huntington Medical Research Institute, KU Leuven, and Oxford University. PhD in Biomedical Engineering, ETH Zurich (2013-2017) Master in Computer Science, Lanzhou University (2010-2013) Bachelor in Electrical Engineering, Lanzhou University (2006-2010) Dr. Liu's research bridges neuroscience, machine learning, and control theory with focus on multi-modal neural signal processing (EEG, sEEG, fMRI, DTI), explainable AI for brain interpretation, and optimization frameworks for neuromodulation (tES, TMS). Her work develops high-density EEG source imaging algorithms, data-driven brain network modeling, and control-theoretic approaches for neural stimulation. The NCC lab specializes in machine learning algorithms, neural computation, multimodal data fusion, network control theory, and bidirectional brain-computer interfaces. Analysis of her recent publications reveals strong trends in EEG-based visual decoding, multimodal neural embeddings, and AI-driven brain network modeling. Her work increasingly integrates generative models for neural data synthesis, control theory for precise neuromodulation, and cross-modal approaches connecting neural signals with cognitive functions. The New Brain 30 (2023) AAIC travel award (2019) Estes Stars Award (2018) Shenzhen Peacock Talent Plan C Dr. Liu actively mentors students through SUSTech's doctoral program and leads multiple significant research initiatives including a National Natural Science Foundation Youth Project, a National Key R&D Program in Bio-Information Fusion, and several Shenzhen municipal projects. Her lab receives funding from Guangdong Provincial Basic Research Fund, Shenzhen Science and Technology Innovation Commission, and international fellowships including Boswell Postdoctoral Fellowship and Swiss National Science Foundation grants. The NCC lab maintains strong international collaborations with Caltech, ETH Zurich, and Oxford University while developing novel platforms like WheelCon for sensorimotor control studies. The Neural Computing and Control Laboratory operates as an interdisciplinary hub integrating computational neuroscience, machine learning, and control engineering. The lab develops specialized hardware-software systems for closed-loop neurostimulation, maintains the EEGdenoiseNET benchmark dataset, and pioneers methods like MOVEA for transcranial electrical stimulation optimization. Current research directions include generative models for neural decoding, network control theory applications, and AI-human cognitive interaction frameworks.

Mariel Purcellمشاهده پروفایل

مدرس ارشد

• Spinal Cord Injury
• Rehabilitation Medicine
• Neurological Recovery
• +۳ مورد دیگر

Dr Mariel Purcell serves as Consultant in Spinal Injuries and Lead Clinician at the Queen Elizabeth National Spinal Injuries Unit while holding an Honorary Senior Clinical Lecturer position at the University of Glasgow. She additionally functions as Director of Research for the Scottish Centre for Innovation in Spinal Cord Injury, coordinating clinical research initiatives focused on enhancing quality of life for spinal cord injury patients. Her educational background includes medical graduation (MB CHB BAO) from University College Dublin in 1997 followed by completion of rehabilitation training in 2007. Research interests center on spinal cord injury rehabilitation through functional electrical stimulation for respiratory complications and upper extremity performance, early intensive motor training protocols for neurological recovery, and electroencephalography-based prediction of neuropathic pain. These efforts consistently target practical improvements in patient functionality and quality of life metrics. Professional recognition includes: Fellow of the Royal College of Physicians (FRCP) NRS Senior Research Fellow designation As Research Director at the Scottish Centre for Innovation in Spinal Cord Injury, she oversees multiple clinical trials including abdominal FES for respiratory support, LIFT System-based upper extremity assessment, comparative motor training efficacy studies, and EEG biomarker research for pain prediction.

Euan McCaugheyمشاهده پروفایل

پژوهشگر

• Spinal Cord Injury
• Functional Electrical Stimulation
• Clinical Trials
• +۴ مورد دیگر

Dr Euan McCaughey (MEng, PhD, CEng) is a researcher specializing in clinical applications of Abdominal Functional Electrical Stimulation (Abdominal FES) to improve respiratory and bowel function in individuals with spinal cord injuries. He completed his PhD at the University of Glasgow in 2014 and has held positions at the University of Strathclyde, Macquarie University, and Neuroscience Research Australia since 2017. Currently, he serves as Acting Director of Research at the Queen Elizabeth National Spinal Injuries Unit in Glasgow. PhD in Biomedical Engineering, University of Glasgow (2014) MEng in Engineering His research focuses on proving the efficacy of medical technologies through clinical trials, particularly Abdominal FES for spinal cord injury patients. He also investigates the epidemiology of spinal cord injuries, contributing to the development of evidence-based rehabilitation protocols. Euan's work includes projects like "Abdominal Functional Electrical Stimulation to reduce respiratory complications in spinal cord in acute tetraplegia" and "Early and intensive motor training to enhance neurological recovery in SCI." These align with his broader interests in improving outcomes for individuals with disabilities through technology-driven interventions. He has been appointed to the Editorial Board of Spinal Cord , a leading journal in spinal injury research, reflecting his expertise in the field. Additionally, he established his own research lab in Sydney during his tenure at Macquarie University and Neuroscience Research Australia.

Marko Vincekovićمشاهده پروفایل

استاد

• Colloid and Surface Chemistry
• Polymers
• Encapsulation of Bioactive Components
• +۶ مورد دیگر

Marko Vinceković is a Professor at the University of Zagreb Faculty of Agriculture , affiliated with the Division for Agroecology and Department of Chemistry . His work bridges colloid chemistry, polymer science, and agricultural innovation through advanced encapsulation technologies. Current research focuses on microencapsulation of bioactive components for plant nutrition/pest control and functional foods. International collaborations include roles at South Kazakhstan University, Polytechnic University of Marche, and Università degli Studi di Salerno. Research interests emphasize green technologies in agriculture, including: Biopolymer-based delivery systems Antimicrobial microcapsules Plant growth stimulation Food-grade colloidal formulations Novel extraction methods using electrical discharge Scientific projects funded by Croatian Science Foundation and EU programs address: Antimicrobial properties of bee venom Photoselective netting effects on crops Biomass ash-based soil amendments Metal ion-loaded microparticles Awards : Second prize in Cultural and Science category (Zagrebačka banka, 2018) ZICER award at Zagreb Start up factory (2018)

Michael Haglundمشاهده پروفایل

استاد

• Global Neurosurgery
• Epilepsy Surgery
• Brain Tumor Surgery
• +۵ مورد دیگر

Michael Haglund is the Duke Surgery Distinguished Professor of Neurosurgery in the School of Medicine at Duke University, holding additional appointments as Professor of Neurobiology, Research Professor of Global Health, and Professor in Orthopaedic Surgery. His clinical expertise centers on epilepsy surgery and functional mapping for brain tumor resection, leveraging advanced intraoperative techniques to optimize outcomes. Dr. Haglund's research program investigates cortical organization of higher cognitive functions—including language, memory, and face processing—through electrical stimulation mapping during awake craniotomies and optical imaging. He pioneers studies on seizure propagation mechanisms using in vivo primate models and in vitro slice preparations, while co-inventing optical imaging techniques for brain tumor grading (covered by two U.S. patents). His global health work addresses health policy, care access, and neurosurgical capacity building across Uganda, Rwanda, and the United States, with emphasis on pediatric neurosurgery and trauma. His 2025 publications demonstrate a cohesive focus on advancing neurosurgical care in resource-limited settings through competency-based training frameworks, epilepsy epidemiology, pediatric trauma management, and ethical resource allocation. These works collectively drive evidence-based system improvements across East Africa. As founder of the Duke Global Neurosurgery and Neurology (DGNN) program in 2007, he spearheads transformative initiatives including: Uganda Epilepsy Center of Excellence Duke East Africa Neurosurgery Program Mulago National Referral Hospital partnership Mbarara Regional Referral Hospital twinning program DGNN has executed 89+ surgical camps, performed 89+ surgical cases, and supports 89 Ugandan neurosurgical residents toward the 2030 goal of training 50 neurosurgeons nationwide. The DGNN team operates under core values of evidence-based innovation, diversity, empowerment, integrity, and passionate collaboration to build sustainable neurosurgical infrastructure across East Africa.

Timothy Dunnمشاهده پروفایل

استادیار

• Machine Learning
• Computer Vision
• Neurobiology
• +۴ مورد دیگر

Timothy Dunn is an Assistant Professor at Duke University's Pratt School of Engineering with additional appointments in Neurobiology, Electrical and Computer Engineering, and Neurosurgery. His research integrates machine learning , computer vision , and neurobiology to study neural circuits , animal behavior , and traumatic brain injury (TBI) outcomes in both high-resource and low-resource settings. Dr. Dunn earned his Ph.D. in Biomedical Engineering from Harvard University (2015) and has been recognized with awards including the McKnight Foundation's Technological Innovations in Neuroscience Award (2021) and IBM's AI Watson XPrize Finalist (2017) . His teaching includes graduate and undergraduate courses in biomedical and electrical engineering. Research Focus : 3D behavioral kinematic modeling, TBI outcome prediction systems, neurosurgical decision support tools, and cross-species neural profiling using geometric deep learning. Recent Publications (2022-2025): 15+ works on 3D pose estimation , machine learning in neurosurgery , and neural connectivity inference , with applications to Parkinson's disease and zebrafish locomotion. Scientific accolades include multiple Harvard teaching awards (2013, 2017), NSF Graduate Research Fellowship (2010) , and UC Berkeley's Chaikoff Award (2008) . He actively recruits Ph.D. students and technicians for his Dunn Lab .

Daniel Franzenمشاهده پروفایل

پژوهشگر

• Privacy Preservation
• Human-Centered Computing
• Data Science
• +۴ مورد دیگر

Daniel Franzen is an affiliated researcher at the Human-Centered Computing group within the Department of Mathematics and Computer Science . His work bridges technology functionality with privacy concerns, focusing on parameters that influence whether users perceive digital systems as intrusive or beneficial. University of Edinburgh PhD in Computer Science (2016) Master of Science in Computer Science (2012) and Media Informatics (2012) from RWTH-Aachen Bachelor of Science in Computer Science (2010) and Mathematics (2011) from RWTH-Aachen His research explores privacy-preserving data donation , human-AI collaboration, and the design of systems that balance utility with ethical considerations. Key projects include delirium prevention in clinical settings, reflective practice in data science, and adversarial interface design patterns. Recent publications highlight trends in privacy visualization , LLM-based conversational interfaces , and hybrid intelligence systems . He investigates how thresholds in machine learning, user onboarding libraries, and visual storytelling impact decision-making and data interpretation. Daniel contributes to educational initiatives through courses like Human-Centered Data Science and Interactive Intelligent Systems , emphasizing critical thinking and visualization literacy. The HCC lab focuses on designing technologies that prioritize user sovereignty and ethical frameworks, such as the Meta-Consent System for health data sharing.

• Neuroimaging
• Neuropsychology
• Parkinson's Disease
• +۳ مورد دیگر

Naroa Ibarretxe Bilbao is a Professor at the Department of Psychology, College of Health Sciences, University of Deusto. She earned her Psychology degree (2005) from the University of Deusto and a PhD in Medicine (2009) from the University of Barcelona, focusing on limbic brain changes in Parkinson's disease using MRI. She conducted predoctoral research at the University of Oxford (FMRIB) in 2007 and leads projects in the Neuropsicología de los trastornos médicos severos team at Deusto. Her research spans Neuroimaging in Parkinson's and multiple sclerosis Cognitive rehabilitation and brain connectivity Neuropsychological effects of prematurity Transcranial stimulation for creativity and language Quality of life in neurodegenerative diseases Her recent publications analyze fatigue networks in Parkinson's (2025), cortical thickness differences in preterm individuals (2024), and transcranial random noise stimulation effects on cognition (2023-2022). Awards include the 2010 Premio Lluis Barraquer (best thesis) and membership in Jakiunde Academy. She mentors students, including Eneritz Bengoetxea (2013 thesis on cognitive rehabilitation in schizophrenia), and directs the University of Deusto's Clinical Neuropsychology Master's program. Her work integrates MRI, neuropsychological assessment, and non-invasive brain stimulation across neurological and psychiatric populations.

• Neuropsychology
• Cognitive Neuroscience
• Non-Invasive Brain Stimulation
• +۳ مورد دیگر

Sarai Martínez Martínez is a predoctoral researcher and student at the University of Deusto 's Faculty of Health Sciences , affiliated with the Neuropsychology of Severe Medical Disorders research team (NeuroLab). Her work focuses on neuromodulation techniques and their impact on cognitive processes. Current Role: Predoctoral Researcher | Student Institution: University of Deusto Research Group: NeuroLab Research Interests span neuropsychological mechanisms in medical disorders, non-invasive brain stimulation (tDCS, TRNS), and cognitive enhancement in creativity and anxiety domains. She investigates cortical activity dynamics using neuroimaging tools like fNIRS. Recent Publications (2024-2025) demonstrate expertise in applying slow oscillatory tDCS for visual creativity enhancement, TRNS effects on verbal convergent thinking, and prefrontal cortex modulation of anxiety states. Collaborative work with experts like Makii Muthalib and Javier Peña Lasa appears in conference proceedings across Spain and France. Key Techniques include: Transcranial Electrical Stimulation Functional Near-Infrared Spectroscopy (fNIRS) Neurocognitive Assessment Delta Power Analysis

Alexander Opitzمشاهده پروفایل

دانشیار

• Non-invasive Brain Stimulation
• Transcranial Magnetic Stimulation
• Transcranial Electric Stimulation
• +۷ مورد دیگر

Alexander Opitz serves as an Associate Professor in the Department of Biomedical Engineering at the University of Minnesota, where he leads innovative research in non-invasive brain stimulation technologies. His laboratory focuses on developing computational models to estimate electric field distributions during transcranial magnetic stimulation (TMS) and transcranial electric stimulation (TES), integrating these with neuronavigation systems to improve targeting of specific brain circuits. Opitz's research bridges engineering principles with neuroscience to address neurological and psychiatric disorders through personalized neuromodulation approaches. Opitz's primary research interests center on the biophysical and physiological foundations of non-invasive brain stimulation (NIBS). His lab develops advanced computational tools like SimNIBS for electric field simulation and NeMo-TMS for multi-scale neuron modeling, enabling precise prediction of stimulation effects from whole-brain to single-neuron levels. Current projects include closed-loop real-time TMS-EEG systems that align stimulation pulses with ongoing brain activity phases, deep-learning-based modeling for rapid TMS field estimation, and personalized rehabilitation protocols for stroke recovery in children. His work emphasizes translating improved understanding of brain physiology into clinical applications for conditions like depression and stroke. The research trends in Opitz's 15 most recent publications reveal a strong focus on personalization and precision in brain stimulation. Key themes include individual anatomical and functional predictors for NIBS response, real-time brain state-dependent stimulation, cross-species modeling frameworks, and meta-analyses of electric field effects in clinical populations. His work increasingly integrates machine learning with traditional computational methods while expanding applications to psychiatric disorders and pediatric populations, demonstrating a clear trajectory toward clinically viable personalized neuromodulation therapies. Opitz actively contributes to the scientific community through his lab's extensive resource sharing. He maintains the SimNIBS software platform for electric field simulation, develops the NeMo-TMS toolbox for neuron modeling, and hosts annual workshops on non-invasive brain stimulation methods. His lab's GitHub repository provides open access to published code, while their YouTube channel 'Brain Stimulation Science' disseminates educational content and seminar recordings. These resources support global researchers in advancing NIBS technologies and methodologies.

• Enteric Neuroscience
• Neuroscience
• Gastrointestinal Physiology
• +۲ مورد دیگر

Dr Timothy Hibberd is a Research Fellow at Flinders University's College of Medicine and Public Health, affiliated with the Flinders Health and Medical Research Institute. His work focuses on enteric neuroscience, gut-brain axis interactions, and gastrointestinal physiology. Research Interests: Enteric nervous system mechanisms Neurogastroenterology Optogenetic neural stimulation Intestinal homeostasis regulation Comparative electrophysiological techniques Scientific Awards: 2009 GlaxoSmithKline - David Ovedoff Undergraduate Student Prize