جست‌وجوی استاد و پژوهشگر

Leah Chase-Wallarمشاهده پروفایل

استاد

• Neuroscience
• Biochemistry
• Neurochemistry
• +۳ مورد دیگر

Dr. Leah Chase-Wallar serves as Professor of Biology & Chemistry at Hope College since 2000, maintaining active research in the A. Paul Schaap Science Center with dual departmental affiliations in Chemistry and Biology. Her work bridges neurochemistry and molecular biology through investigations of oxidative stress mechanisms in neurodegenerative disorders. She earned her B.S. from the University of Michigan – Flint (1993) followed by a Ph.D. from the University of Minnesota (1999), establishing her foundation in biochemical neuroscience. Her research program centers on system x c - regulation, specifically examining how hydrogen peroxide modulates cystine/glutamate exchange to protect dopaminergic neurons in Parkinson's disease models. This involves advanced techniques including mammalian cell culture, immunocytochemical analysis, western blotting, and enzymatic assays for glutathione/peroxide measurement. Her publication trajectory (1994-2007) reveals evolving specialization: early comparative physiology work on reindeer nutrition transitioned into focused neuroscience research on glutamate transport systems, metabotropic receptor pharmacology, and neurotoxin mechanisms. The most recent publications demonstrate increasing emphasis on oxidative stress pathways relevant to Parkinson's disease. Dr. Chase-Wallar has secured substantial research funding including multiple Campbell Foundation grants (2001-2007), a Towsley Research Scholar award (2003-2006), and NSF support (2002-2003) for neuroscience laboratory development. Her Chase-Wallar Research Group actively involves undergraduate students in project design and execution within Hope College's Chemistry Department framework, with facilities in the A. Paul Schaap Science Center enabling cellular and molecular investigations of dopaminergic systems.

Danel Draguljicمشاهده پروفایل

دانشیار

• Statistics
• Experimental Design
• Probability
• +۳ مورد دیگر

Danel Draguljic is an Associate Professor of Mathematics at Franklin & Marshall College in Lancaster, PA, where he has held this position since 2018, following a tenure as Assistant Professor from 2012–2018. Prior to academia, he worked as a Statistician III at Battelle Memorial Institute (2010–2012). He holds a Ph.D. in Statistics from The Ohio State University (2010), alongside dual undergraduate degrees in Philosophy and Mathematics from Millersville University (2003). Teaching focuses on advanced statistical courses like Design and Analysis of Experiments, Neural Networks, and Time Series. Co-authored the textbook Design and Analysis of Experiments (2017, Springer), emphasizing R and SAS applications. His research intersects statistical methodology, experimental design, and interdisciplinary applications in biology, neuroscience, and environmental science. Notable contributions include optimizing thin film coatings, modeling neural networks, and analyzing drought impacts on tropical epiphytes. Key awards include the 2015 Youden Award for the 2014 paper on screening strategies in Technometrics. Ongoing projects involve variable selection in mixed models and constrained noncollapsing design algorithms (CoNcaD).

• Circadian Rhythm
• Dynamics
• Neuroscience
• +۳ مورد دیگر

Casey Diekman is a Professor in the Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT). His research focuses on mathematical and computational modeling of circadian rhythms, neural dynamics, and physiological systems. He has led NSF-funded projects, including studies on circadian clock mechanisms, neuronal data assimilation, and hybrid modeling of Alzheimer’s disease. His work integrates biophysical models with machine learning to study systems like cardiac electrophysiology and respiratory control. Roles: Professor, PI of multiple NSF grants Key Collaborations: Projects with researchers in neuroscience, cardiology, and computational biology Education & Background: While specific educational details are not provided, his academic position implies advanced training in applied mathematics or systems biology. Research Interests: Circadian rhythms, entrainment dynamics, computational modeling of biological systems, and applications in health (e.g., arrhythmias, neurodegenerative diseases). His work bridges mathematical theory and experimental data to address clinical problems like drug timing and respiratory failure. Grant Highlights: NSF GOALI (2022–2026): Integrates deep learning and mechanistic models for circadian clock neurons and Alzheimer’s disease NSF Career (2016–2021): Developed data assimilation tools for circadian rhythm studies NSF (2014–2017): Modeled circadian clock mechanisms from synapse to gene Recent Research Trends: Publications since 2022 focus on circadian impacts on drug safety, respiratory control during SARS-CoV-2 infection, and Alzheimer’s disease modeling using deep learning. His work often emphasizes interdisciplinary approaches to understand biological timing and its disruptions. Awards & Recognition: While specific prizes are not listed, his extensive grant portfolio and citation count (792) reflect scholarly impact. Advising & Grants: Oversees research teams in circadian biology and computational neuroscience. Media coverage highlights breakthroughs like explaining ‘happy hypoxia’ in COVID-19 patients and antiarrhythmic drug timing risks. Labs/Teams: Engaged in collaborative projects with institutions like NIH and other universities, focusing on systems-level biological modeling.

Nitish V. Thakorمشاهده پروفایل

استاد

• Biomedical Engineering
• Neuroengineering
• Neural Prosthetics
• +۵ مورد دیگر

Nitish V. Thakor is a Professor of Biomedical Engineering and Neurology at Johns Hopkins University School of Medicine, with secondary appointments in Electrical and Computer Engineering. He directs the Laboratory for Neuroengineering and oversees the NIH Neuroengineering Training Grant. His research focuses on neural prosthetics, brain-machine interfaces, and clinical neurorehabilitation technologies. Education: B.Tech from IIT Bombay (India), M.S. and Ph.D. in Biomedical Engineering from University of Wisconsin-Madison Joined Johns Hopkins faculty in 1983 Research emphasizes translational neuroengineering: developing prosthetic limbs with sensory feedback, advanced neural interfaces, and diagnostic technologies for brain injury monitoring. The lab integrates microfabrication, stem cell biology, and integrated circuit design with clinical applications. Notable projects include DARPA-funded advanced prosthetic systems and temperature-sensitive prosthetic fingertips. Recent lab milestones include robotic hand research published in Science Advances, and student achievements like NIH fellowships and Siebel Scholar awards. Honors: IEEE Fellow (1997), AIMBE Fellow (1996), NSF Presidential Young Investigator (1985) Advising over 20 students/postdocs, he also serves as editor-in-chief of Medical and Biological Engineering and Computing . Active in global biomedical engineering outreach through conferences and educational programs.

Wiep Scheperمشاهده پروفایل

استاد مهمان

• Neurodegeneration
• Alzheimer's Disease
• Tau Pathology
• +۳ مورد دیگر

Prof. dr. Wiep Scheper is a Visiting Professor at the Faculty of Science , Vrije Universiteit Amsterdam , affiliated with the Department of Functional Genomics and Amsterdam Neuroscience - Neurodegeneration . He holds a PhD in Molecular and Cellular Biology from Utrecht University. Research Interests: His work focuses on neurodegenerative diseases, particularly Alzheimer’s and tauopathies. Key areas include tau protein pathology, protein homeostasis, and translational neuroscience. His studies explore mechanisms like proteostatic stress signaling and epigenetic biomarkers in neurodegeneration. Recent Articles: Scheper’s recent work includes studies on DNA methylation in frontotemporal dementia, neuron-to-astrocyte stress signaling in tau pathology, and biomarker research using protein disulfide isomerases. His co-culture models for tau aggregation advance disease modeling efforts. Awards: 2021 KNAW Award Wetenschap Gewaardeerd for societal contributions to science. Grants & Activities: Supervised 7 PhD theses. Editorial roles at Alzheimer's Research & Therapy and Acta Neuropathologica Communications . Organized the Advanced Models Of NeurodeGeneration (AMONG) conference. Labs/Teams: Collaborates in interdisciplinary teams at Amsterdam Neuroscience, focusing on neurodegeneration mechanisms and translational research.

• Alzheimer's Disease
• Neurodegeneration
• Molecular Genetics
• +۳ مورد دیگر

Mikko Hiltunen is a Professor of Tissue and Cell Biology at the Institute of Biomedicine, School of Medicine, University of Eastern Finland. His research focuses on molecular mechanisms of neurodegenerative disorders, particularly Alzheimer's disease and idiopathic normal pressure hydrocephalus (iNPH). He leads several research groups including the Molecular Genetics of Alzheimer's Disease (Hiltunen Lab) and participates in the Brain Research Unit and Genome Center of Eastern Finland. Research interests span Alzheimer's pathogenesis, neuroinflammation, genetic risk factors, biomarker discovery, and therapeutic development. His work integrates molecular biology, genetics, and clinical neuroscience to investigate microglial function, amyloid pathology, and cerebrospinal fluid biomarkers. Key areas include APOE genetics, PLCγ2-mediated neuroprotection, and machine learning applications in neurodegeneration. His recent publications demonstrate a strong focus on cerebrospinal fluid biomarkers, genetic association studies, neuroinflammation mechanisms, and therapeutic interventions. Article themes consistently emphasize microglial biology, genetic risk modifiers, and translational approaches for Alzheimer's and iNPH. Collaborative projects include Neuro-Innovation (2021-2026) and NOVEL MSCA Postdoctoral Programme (2024-2029). Hiltunen leads the Clinical Alzheimer Research group and co-directs the UEF Brain Research Unit. His team utilizes advanced models including iPSC-derived microglia and pericyte systems to study neurovascular interactions. Current work explores phospho-tau immunotherapy, lysosomal dysfunction, and polygenic risk score applications across diverse populations.

Patrizia Cantonمشاهده پروفایل

استاد

• Physical Chemistry
• Materials Science
• Transmission Electron Microscopy
• +۶ مورد دیگر

Patrizia Canton is a Full Professor at the Department of Molecular Sciences and Nanosystems of Ca' Foscari University of Venice , where she serves as Deputy Director. Her research focuses on structural characterization of nanomaterials using advanced techniques like Transmission Electron Microscopy and X-ray Diffraction, with applications in quantum dots , catalysis , and photothermal agents . She leads the Responsible for Teaching and Research Activities in the Laboratory (RDRL) and supervises multiple international research collaborations. Key research areas: Physical Chemistry, Nanotechnology, Spectroscopy Recent publications highlight work on luminescent nanothermometers, CuInS 2 quantum dots, and catalytic metal nanoparticles She has received prestigious awards including the Young Scientist Award (International Union of Crystallography) and IUCR Journal of Applied Crystallography referee roles. Her funded projects span European Commission initiatives like Horizon 2020 and national PRIN/Erasmus+ programs.

Hina Shaheenمشاهده پروفایل

استادیار

• Bio-statistics
• Neuroscience Data Analysis
• Computational Modelling
• +۹ مورد دیگر

Hina Shaheen is an Assistant Professor in the Department of Statistics , Faculty of Science, University of Manitoba. Her research integrates statistical methods with computational neuroscience and neurodegenerative disease modeling. Email: Hina.Shaheen@umanitoba.ca Lab: NeuroStats Lab Research Interests: Shaheen specializes in neurodegenerative disorders like Alzheimer’s and Parkinson’s disease, with a focus on: Multiscale and network modeling of brain dynamics Bio-statistical and machine learning approaches BAYESIAN inference and STOCHASTIC processes Calcium signaling and PROTEIN dynamics in disease pathology Publication Trends: Recent work combines data-driven stochastic modeling with connectomic insights to study neurodegenerative mechanisms. Key themes include: Integration of machine learning and BAYESIAN frameworks in brain network analysis Applications to Alzheimer’s (amyloid-beta/calcium interactions, exosomal spread) and Parkinson’s (DBS treatment, neural dynamics) Development of multiscale co-simulation techniques for clinical data interpretation Academic Engagement: Shaheen actively mentors graduate students and collaborates across disciplines. She participated in the V AMMCS International Conference (2019) and maintains affiliations with computational neuroscience communities.

Alexey Kuznetsovمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Mathematical Biology
• Mathematical & Computational Neuroscience
• +۳ مورد دیگر

Alexey Kuznetsov is an Associate Professor in the Department of Neuroscience at Indiana University's School of Science. His research focuses on computational and mathematical modeling of biological processes, particularly the electrical activity of neurons and regulatory molecular networks. Current work emphasizes addiction's impact on brain circuitry, specifically modeling the dopamine system's role in goal-directed learning. Affiliated with the Institute for Mathematical Modeling and Computational Science, his interdisciplinary approach bridges experimental data across levels using computational frameworks. Education: PhD equivalent in Physics and Mathematics, State University of Nizhny Novgorod (1996-1999) Postdoctoral Research Associate, Boston University Mathematics Department (2002-2005) Research Interests: Combines computational neuroscience with mathematical biology to model neural systems, addiction mechanisms, and genetic oscillators. Key areas include dopamine neuron excitability, synaptic dynamics, and chaos in biological networks. His work aims to develop unified modeling approaches for diverse biological systems. Publications: Recent work highlights dopamine neuron modeling, GABAergic neuron synchronization effects, and chaos in genetic networks. These studies emphasize interdisciplinary applications of mathematics and computation to neuroscience challenges. Grants & Labs: Active in the Institute for Mathematical Modeling and Computational Science. Research supported by projects analyzing addiction's neural underpinnings and systems biology approaches to disease modeling.

• Computational Neuroscience
• Neural Network Simulation
• Large-Scale Simulation
• +۳ مورد دیگر

Hans Ekkehard Plesser is a Professor at the Department of Data Science, Norwegian University of Life Sciences (NMBU). His work focuses on computational neuroscience, large-scale neural network simulations, and advancing reproducibility in computational research. He is a key contributor to the NEST simulator, a widely used open-source tool for modeling spiking neural networks. His research spans theoretical and applied aspects of neuroscience, including neuron-astrocyte interactions, connectivity patterns in neural networks, and high-performance computing strategies for brain-scale simulations. He emphasizes reproducible computational practices through initiatives like the ReScience project, promoting transparency and validation in scientific software. His publications highlight advancements in simulation methodologies, algorithm optimization, and the integration of supercomputing resources for neuroscience. He has contributed to foundational work on spiking neuron dynamics, firing-rate models, and the theoretical underpinnings of neural network behavior.

• Neurology
• Traumatic Brain Injury
• Axonal Degeneration
• +۳ مورد دیگر

Nils Henninger, MD, PhD, is an Associate Professor of Neurology at the University of Massachusetts Chan Medical School (UMass Chan) and the T.H. Chan School of Medicine. He holds affiliations with the Neurology Department and multiple institutes including the NeuroNexus Institute and Psychiatry and Behavioral Sciences Department. His research focuses on the neurobiology of axonal injury in traumatic brain injury (TBI) and stroke, particularly targeting Sarm1-mediated Wallerian degeneration. He leads clinical trials investigating endovascular therapies and thrombectomy techniques for acute ischemic stroke, with a focus on medium vessel occlusions and cervical artery dissection. Education: MD from Johannes Gutenberg University (Germany), PhD in Biomedical Sciences from University of Massachusetts Medical School, residency in Neurology at Ruprecht-Karls-University Heidelberg and UMass Chan, and a cerebrovascular fellowship at Harvard Medical School. Awards: Includes NIH grants (R21NS131756, K08 NS091499), the PACE Award (UMass Chan), and fellowships from the American Neurological Association and World Stroke Organization. Research Interests: Axonal degeneration mechanisms, stroke treatment innovations, and translational neurology. His lab explores RNAi-based therapies for ALS and Sarm1 inhibition to prevent TBI-induced neurological deficits. Dr. Henninger’s clinical work involves stroke neurology and emergency neurology, with over 150 peer-reviewed publications on thrombectomy outcomes, anticoagulation strategies, and cerebral venous thrombosis. He leads multidisciplinary teams in translational research and mentors trainees in the MD/PhD Program at Morningside Graduate School of Biomedical Sciences.

Peter Bienstmanمشاهده پروفایل

استاد

• Photonics
• Neuromorphic computing
• Nanophotonics
• +۱۱ مورد دیگر

Peter Bienstman is a full professor at Ghent University, working in the Department of Information Technology (INTEC) where he has been since 1997. He is affiliated with the Photonics Research Group and also collaborates with imec. His research spans nanophotonics, neuromorphic computing, and biosensing applications. Bienstman received his electrical engineering degree from Ghent University in 1997 and completed his Ph.D. at the same institution in 2001. His doctoral work focused on "Rigorous and efficient modelling of wavelength scale photonic components." His research interests primarily revolve around nanophotonics and its applications, with specific focus areas including: Photonic Reservoir Computing for neuromorphic information processing Optical label-free biosensors based on ring resonators TE/TM biosensors for measuring conformational changes SiN biosensors operating in the visible spectrum Optical spiking neurons and neuromorphic architectures Nanophotonic information processing systems Analysis of his recent publications reveals a strong focus on advancing photonic reservoir computing for practical applications, particularly in communications signal processing and biomedical sensing. His work demonstrates how photonic systems can implement neuromorphic computing paradigms with energy efficiency advantages over traditional electronics. Recent trends show increasing integration of phase-change materials and exploration of quantum-inspired photonic computing approaches. Bienstman has received significant recognition for his work, most notably an ERC Starting Grant for the Naresco-project: "Novel paradigms for massively parallel nanophotonic information processing." This prestigious European grant supports his innovative research at the intersection of photonics and computing. As an advisor, Bienstman has supervised numerous doctoral students to completion and currently mentors a large research group with nine active PhD students and two postdoctoral researchers. His research is supported by multiple grants that enable the development of novel photonic computing architectures and biosensing platforms. The group's work bridges fundamental photonics research with practical applications in communications, healthcare, and computing. The Photonics Research Group at Ghent University, where Bienstman works, maintains state-of-the-art facilities for nanophotonic device design, fabrication, and characterization. The group collaborates extensively with imec and other international research institutions, creating a vibrant ecosystem for advancing photonic technologies from fundamental research to potential commercial applications.

Ahsan Adeelمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Computational Neuroscience
• Multisensory Integration
• +۵ مورد دیگر

Dr. Ahsan Adeel is an Associate Professor of Cellular AI and Theoretical Neuroscience at the University of Stirling. He holds affiliations with multiple institutions including MIT, Oxford, and the Howard Brain Sciences Foundation. His research focuses on bridging cellular neurobiology with AI, particularly through the study of pyramidal Two-Point Neurons (TPNs) and their role in conscious processing. His work emphasizes developing biologically plausible AI models for healthcare, robotics, and neuromorphic computing. Education: B.Eng. in Electrical Engineering, MSc in Electronics, PhD in Cognitive Computing. Research interests include: Conscious Multisensory Integration (CMI), neuromorphic chip design, explainable AI (XAI), and applications in hearing aids, disaster management, and neurological disorders. His lab, the CMI Lab, explores how TPN mechanisms can overcome computational limitations of current AI. Key projects include a £4M EPSRC-funded hearing aid initiative, 5G-enabled environment planners for dementia patients, and collaborations with NASA/ESA on AI for space exploration. His work is featured in flagship journals like Frontiers in Computational Neuroscience and the €1.2B Human Brain Project. Awards include Fellowships from Howard Foundation, MIT, and Oxford, alongside recognition for contributions to neuromorphic computing and TPN research. He has over 30 publications and leads interdisciplinary teams across 10+ global institutions.

• Neuroscience
• Neuroimaging
• Biomedical Engineering
• +۳ مورد دیگر

Malika Datta is a Research Fellow in Neuroscience at Yale School of Medicine, Yale University. Her work focuses on advanced neuroimaging techniques and molecular mechanisms in neuroscience. She holds appointments in the Neuroscience department and contributes to interdisciplinary research in biomedical engineering and pharmacology. Her research interests include light-sheet microscopy innovation for large-scale biological imaging, dopaminergic system analysis under drug exposure, and genome editing via focused ultrasound. She has published extensively on topics such as Norrin-mediated astroglia-neuron interactions and optogenetic systems development. Recent publications highlight her contributions to scalable microscopy technologies and brain mapping methodologies. Her work bridges engineering and basic neuroscience, with applications in drug impact studies and neurotechnology. No scientific awards are explicitly mentioned in the provided information.

• Dementia
• Parkinson's Disease
• Cognitive Neuroscience
• +۵ مورد دیگر

Professor Simon Lewis is a Consultant Neurologist and Professor of Cognitive Neuroscience at the University of Sydney's Brain and Mind Centre within the Faculty of Medicine and Health. He serves as Clinical Director of the Ageing Brain Clinic and Director of the Parkinson's Disease Research Clinic, while also heading the NSW Movement Disorders Brain Donor program. With over 200 peer-reviewed publications, 2 books, and 8 book chapters to his name, Professor Lewis has secured more than $10 million in research funding from prestigious sources including the NHMRC, ARC, and Michael J Fox Foundation. Professor Lewis's research primarily focuses on dementia and Parkinson's disease, with particular expertise in cognitive neuroscience, movement disorders, and REM sleep behavior disorder. His work spans from basic neuroimaging studies to clinical trials investigating novel interventions for neurodegenerative conditions. He has pioneered research on freezing of gait in Parkinson's disease, visual hallucinations in Lewy body disorders, and the relationship between circadian rhythms and neurodegeneration. His laboratory employs a multidisciplinary approach combining clinical assessment, neuroimaging (structural and functional MRI), neurophysiological measurements, and innovative computational methods to understand disease mechanisms. The trajectory of Professor Lewis's recent publications reveals a growing emphasis on biomarker discovery for early diagnosis and disease progression, with increasing integration of artificial intelligence and machine learning approaches to analyze complex movement and sleep data. His work increasingly bridges basic neuroscience with clinical applications, particularly in developing targeted interventions for non-motor symptoms of Parkinson's disease. The collaborative nature of his research is evident in the international authorship patterns across his publications. Among his notable accolades is the Leonard Cox Award (2014) from ANZAN recognizing his significant contributions to neuroscience as an early career neurologist. Professor Lewis serves on multiple editorial boards including Movement Disorders, Translational Neurodegeneration, and Journal of Neurology, Parkinson's and Related Disorders. He actively contributes to international committees such as the Movement Disorders Society Asian Oceanian Section Executive Committee and the International REM Sleep Behaviour Study Group. Professor Lewis leads the world-leading Parkinson's and Related Diseases Research Group at the Brain and Mind Centre, which attracts PhD students interested in understanding disease mechanisms, developing biomarkers, and creating novel treatment modalities for Lewy body-related diseases. His international collaborations span institutions in the Netherlands (Radboud UMC), United Kingdom (King's College London, Cambridge, Newcastle), and other global centers of excellence in Parkinson's research. His work exemplifies a translational approach from bench to bedside, with particular focus on improving quality of life for patients with neurodegenerative conditions.