جست‌وجوی استاد و پژوهشگر

Jordan J. Williamsمشاهده پروفایل

استادیار

• Neural Engineering
• Optogenetics
• Biomedical Engineering
• +۵ مورد دیگر

Jordan J. Williams is an Assistant Professor and Director of the Neural Engineering & Modulation Laboratory (NEMo Lab) at the Joint Department of Biomedical Engineering, affiliated with Marquette University and the Medical College of Wisconsin. He holds MD and PhD degrees from Washington University in St. Louis and completed postdoctoral work at the University of Pittsburgh. Education: Postdoctoral Scholar (2013-2019), Systems Neuroscience Institute, University of Pittsburgh MD (2013), Washington University in St. Louis PhD (2013), Biomedical Engineering, Washington University in St. Louis B.S. (2005), Electrical Engineering and Engineering Physics, South Dakota State University His research focuses on neural engineering, optogenetics, and brain-machine interfaces. Key projects include peripheral optogenetic stimulation for motor recovery post-spinal cord injury, neuroprosthetics, and viral gene therapy applications. Recent publications highlight advancements in spatiotemporal nerve stimulation patterns, non-human primate studies, and neural interface biocompatibility. Dr. Williams teaches courses like Neural Engineering , Biomedical Signal Processing , and Control Systems for Biomedical Engineering . His funded grants include projects on functional motor recovery and improved spinal cord injury rehabilitation through optogenetics. Current research emphasizes the intersection of neuroscience and engineering to address paralysis, with a strong focus on translating preclinical findings into clinical applications. His work has been published in journals such as Journal of Neuroscience Methods , Science Robotics , and Frontiers in Neuroscience .

• Wireless Communications
• Internet of Things (IoT)
• Optimization
• +۷ مورد دیگر

Dr. Khoa Phan is a Senior Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Australia. He holds an ARC DECRA Senior Research Fellowship (2020-2023) and has held prior positions at UCLA, Monash University, and others. His academic background includes a B.Eng. (UNSW), two M.Sc. degrees (University of Alberta and Caltech), and a Ph.D. in Electrical Engineering from McGill University. Dr. Phan's research focuses on optimizing next-generation communication networks, particularly in wireless communications, IoT, satellite systems, and machine learning applications. He has secured significant grants, including ARC Discovery Projects and industry partnerships. His work emphasizes secure cyber-physical systems, federated learning, and edge computing. He has received prestigious awards such as the ARC DECRA and Atwood Fellowship. His research spans over 100 publications, with contributions to areas like OTFS modulation, secure satellite communications, and graph-based anomaly detection. He actively supervises PhD students and collaborates internationally, including initiatives to strengthen ties between La Trobe University and Vietnamese institutions. Grants include ARC Discovery Projects (totaling $1.3M+), CRC SmartSAT, and industry scholarships. His work addresses energy efficiency, secure resource allocation, and AI-driven solutions for 5G/6G networks and the metaverse.

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.

• Haptics
• Human-Computer Interaction
• Acoustic Engineering
• +۳ مورد دیگر

Yasutoshi Makino is a researcher specializing in ultrasound-based haptics, tactile feedback systems, and human-computer interaction. He has collaborated extensively with Hiroyuki Shinoda and other colleagues, focusing on mid-air haptic displays, noncontact object manipulation, and sensory reproduction. Research Interests Makino's work explores the intersection of acoustics, neuroscience, and engineering to create immersive tactile experiences without physical contact. His innovations include ultrasound-driven actuation mechanisms, thermal sensation rendering, and real-time human motion prediction for robotic systems. Recent Publications The 15 most recent articles highlight advancements in airborne ultrasound tactile displays, texture synthesis via GANs, and applications in guide dog training analysis, virtual reality, and interactive robotics. Key themes include dynamic pressure control , multi-stimulus integration , and low-latency systems . Collaborations Co-authored with Masahiro Fujiwara (43 papers) Collaborated with Hiroyuki Shinoda (145 papers) Worked with Shun Suzuki, Takaaki Kamigaki, and Ryoya Onishi on thermal and mechanical haptic feedback systems.

• Cognitive Neuroscience
• Machine Learning
• Neuroimaging
• +۷ مورد دیگر

Karim Jerbi is a Full Professor at the University of Montreal's Department of Psychology, within the Faculty of Arts and Sciences. He holds the Canada Research Chair (CRC) in Systems Neuroscience and Cognitive Neuroimaging (Junior 2) and leads interdisciplinary research programs. His affiliations include the CRM — Centre de recherches mathématiques, CERNEC — Centre de recherche en neuropsychologie et cognition, CRIUGM — Centre de recherche de l'Institut universitaire de gériatrie de Montréal, PhysNum — Laboratoire de physique numérique, BRAMS — Laboratoire international de recherche sur le Cerveau, la Musique et le Son, and CIRCA — Centre interdisciplinaire de recherche sur le cerveau et l'apprentissage. These affiliations emphasize his collaborative and interdisciplinary approach to neuroscience and neuroimaging. His research investigates cognitive functions and dysfunctions using advanced signal processing and machine learning applied to multimodal brain data. Key interests include neural oscillations, brain connectivity, and the interplay between cognitive processes and neuroimaging techniques like MEG and EEG. He explores topics such as sleep dynamics, decision-making, mindfulness meditation effects, and neurodegenerative disorders, bridging computational models with clinical applications. Jerbi's recent work highlights trends in AI-driven neuroimaging tools (e.g., MEEGNet, NeuroPycon), criticality in brain networks, and the impact of consciousness states on neural activity. His grants include leading the UNIQUE initiative (2019–2024) and co-directing projects like 'Partnership for Abundant Intelligences' (2024–2029), funded by organizations like FRQNT and SSHRC. These efforts aim to integrate AI, mathematics, and clinical research for transformative insights into brain function. Scientific Awards: Canada Research Chair (CRC) in Systems Neuroscience and Cognitive Neuroimaging (Junior 2). In advising, he has guided students in topics like AI-based biomarker identification, hypnosis dynamics, and motor intention decoding. His labs and teams, such as the CRM and CERNEC, focus on mathematical foundations of neural systems and neuropsychological cognition, respectively. Collaborations span diverse fields, including gériatrie, music cognition, and computational intelligence, reflecting his commitment to cross-disciplinary innovation.

• Signal Processing
• Error Correction Coding
• Information Theory
• +۳ مورد دیگر

Professor Sarah Johnson is a distinguished academic in the School of Engineering at the University of Newcastle, specializing in Electrical and Computer Engineering. She holds a PhD in Electrical Engineering from the same institution and has been awarded prestigious fellowships including an ARC Future Fellowship. Her research applies engineering solutions to digital information processing and error correction coding, with significant applications in secure communications and biomedical technologies. Her research interests span: Signal processing for secure data transmission Error correction codes for reliable communication systems Biomedical applications of digital signal processing Quantum-enabled secure communications Internet of Things communication protocols Her publications primarily focus on information theory, wireless communication systems, and biomedical engineering. Recent work shows strong emphasis on index coding optimizations, quantum cryptography implementations, and biomedical signal processing techniques for neuroimaging applications. Significant awards include: NSW Premier's Prize for Excellence (2017) Pro Vice-Chancellor's Research Excellence Award (2007) Professor Johnson has secured multiple ARC Discovery grants and industry-sponsored projects, including collaborations with Quintessence Laboratories on quantum key distribution. She co-founded HunterWISE to promote women in STEM fields and has supervised numerous graduate students across engineering disciplines. She leads interdisciplinary collaborations with biomedical researchers on rehabilitation technologies and neuroimaging analysis, developing systems to monitor recovery processes and brain activity patterns.

Kennedy Michael Peterمشاهده پروفایل

استاد

• Chaotic circuits
• Digital delta-sigma modulation
• Hysteresis
• +۷ مورد دیگر

Professor Kennedy Michael Peter is a Professor of Microelectronic Engineering and Head of the School of Electrical and Electronic Engineering at University College Dublin (UCD). Previously, he served as Professor and Head of the Department of Microelectronic Engineering at University College Cork (UCC), and held leadership roles including Dean of Engineering and Vice-President for Research Policy at UCC. He has held visiting positions globally and is a Fellow of the IEEE, Royal Irish Academy, and Irish Academy of Engineering. Education: BE (Electronics) from UCD (1984), MS and PhD from UC Berkeley (1987, 1991), DEng from National University of Ireland (2010). Research focuses on oscillator design, nonlinear dynamics, neural networks, chaos communication, and microelectronics. He has over 350 publications and founded Ireland’s MIDAS Ireland and MCCI. Awards include the IEEE Millennium Medal, RIA Parsons Medal, and multiple best paper awards. Fellow of IEEE (1998) Parsons Medal, Royal Irish Academy (2001) Fellow, Irish Academy of Engineering (2014) Advising and grants: Founded key industry-academia partnerships and reviewed for national/international funding bodies. Served as Chair of the European Research Council’s PE7 Panel (2014). Labs/teams: Director of Microelectronic Circuits Centre Ireland (MCCI), and active in international collaborations across Europe, Asia, and the Americas.

Cristina Rodríguezمشاهده پروفایل

استادیار

• Optical Imaging Technologies
• Nonlinear Optics
• Multiphoton Microscopy
• +۷ مورد دیگر

Cristina Rodríguez is an Assistant Professor of Biomedical Engineering at Yale University, affiliated with the School of Engineering & Applied Science. Her research develops optical imaging technologies to study biological systems, focusing on deep tissue imaging and neurobiological applications. She holds a Ph.D. from The University of New Mexico and a B.S. from Universidad Simón Bolívar, Venezuela. Dr. Rodríguez leads the Rodríguez Lab, which innovates in multiphoton microscopy, adaptive optics, and imaging probes for neuroscience and therapeutic delivery. The lab emphasizes fostering diversity in science. Research Interests : Her work integrates physics, nonlinear optics, and engineering to advance imaging techniques for in vivo studies. Key areas include tactile processing in spinal cords, pathological changes in neural coding, and developing tools for deep tissue vasculature imaging. The lab’s adaptive optics module for multiphoton imaging and multicolor deep tissue imaging are groundbreaking contributions to the field. Awards : - Burroughs Wellcome Fund Career Awards (2020-2025) - Beckman Young Investigator Award (2024) - ISFS Fellow (2021) - AAPT Outstanding TA Award (2008) Lab & Collaborations : The Rodríguez Lab actively hires at all levels and focuses on collaborative, inclusive science. Recent news includes a Beckman Award win and outreach efforts like the HER Path webinar series. The lab’s research spans from astrophysical black hole systems (earlier work) to cutting-edge biomedical imaging.

• Forensic Psychology
• Clinical Psychology
• Psychopathy
• +۱۲ مورد دیگر

Dr. Josanne van Dongen is an Associate Professor of Forensic Psychology at the Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, where she leads the forensic education in the Forensic and Legal Psychology master’s program. She is the director of the SAFER Lab, conducting research on empathy, psychopathy, and violence risk using electrophysiological and brain stimulation techniques. Erasmus University Rotterdam Erasmus School of Social and Behavioural Sciences Department of Clinical Psychology SAFER Lab (Director) Her research focuses on understanding the neurocognitive underpinnings of antisocial and dark personality traits, particularly psychopathy and the Dark Tetrad, and their relationship with empathy, impulsivity, and paraphilic behaviors. She investigates how brain modulation techniques like transcranial direct current stimulation can inform intervention strategies to reduce aggression and violence risk. Her work bridges clinical, forensic, and neuroscience domains. Recent publications explore deception in psychopathy, neural correlates of impulsivity in dark personalities, paraphilic behaviors, and early predictors of externalizing behavior in youth. Her research is highly interdisciplinary, combining behavioral, electrophysiological, and cross-cultural methods. Notable recognition includes the Early Career Award from the International Association of Forensic Mental Health Services (2017). She has served on the association’s Board of Directors and chairs the International Scientific Council of the Expertise Centre of Forensic Psychiatry in the Netherlands. Early Career Award, International Association of Forensic Mental Health Services (2017) Dr. van Dongen has received multiple research grants and contributes extensively through editorial work, including peer-review for the International Journal of Forensic Mental Health. She has chaired international symposia and presented at professional and academic conferences on threat assessment and psychopathy. She supervises research, including doctoral theses, and is involved in developing forensic psychological interventions. She leads the SAFER Lab, a multidisciplinary research group focused on Social Affective and Forensic Electrophysiological Research, aimed at promoting a safer society through scientific innovation in forensic mental health.

Anthony Rizzoمشاهده پروفایل

استادیار

• Integrated photonics
• Quantum photonics
• Neuromorphic photonics
• +۴ مورد دیگر

Anthony Rizzo is an Assistant Professor of Engineering at Dartmouth College, leading the Rizzo Integrated Photonic Systems Laboratory. His research focuses on integrated photonics, quantum photonics, and neuromorphic photonics, with applications in high-speed data communication, quantum computing, and energy-efficient systems. He holds a PhD in Electrical Engineering from Columbia University (2022), an MS from Columbia (2019), and a BS in Physics from Haverford College (2017). His work has been funded by organizations such as the Toyota Research Institute and the U.S. Army Research Laboratory. Key research areas include silicon photonics for ultra-low energy optical interconnects, photonic-electronic integration, and novel photonic materials like aluminum nitride. Notable achievements include the first demonstration of a Kerr comb-driven silicon photonic link and advancements in 3D photonic integration for terabit-scale data links. His lab explores applications in quantum sensing, neuromorphic computing, and visible wavelength photonics for atomic systems. Funding Sources: Toyota Research Institute, U.S. Army Research Laboratory, Thayer School of Engineering, AIM Photonics Courses Taught: ENGS 23 (Distributed Systems and Fields), ENGS 60 (Solid-State Electronic Devices) Recent publications highlight breakthroughs in ultra-low loss waveguides, scalable photonic linear neurons, and energy-efficient modulators. His work bridges fundamental photonics research with practical applications in next-generation communication and computing systems.

• Communication and Information Theories
• Wireless Communications
• Energy-Efficient Wireless Networks
• +۱ مورد دیگر

Dr. Nghi Tran is a Professor in the Department of Electrical and Computer Engineering at the University of Akron's College of Engineering. His research focuses on communication and information theories, wireless communications, energy-efficient wireless networks, and security. He has published over 160 papers and served as an editor for multiple IEEE journals. Education: Ph.D. in Electrical & Computer Engineering (University of Saskatchewan, 2008) Education: M.Sc. in Electrical & Computer Engineering (University of Saskatchewan, 2004) Education: B.Sc. in Electrical Engineering (Hanoi University of Technology, 2002) Dr. Tran's research spans wireless communication systems, with special emphasis on physical layer security, energy-efficient networks, full-duplex technologies, and channel coding. His work bridges theoretical foundations with practical implementations in next-generation wireless systems. His recent publications (2023-2025) demonstrate expertise in physical layer security, full-duplex antenna design, polar codes for GNSS, and machine learning applications in MIMO systems. Key trends include optimization of wireless networks, robust error correction, and cross-layer security approaches. Scientific Awards: NSERC Postdoctoral Fellowship Professional Recognition: IEEE Senior Member As an ABET coordinator for ECE and frequent journal editor, Dr. Tran contributes to academic leadership. His research has received funding from the US National Science Foundation, Office of Naval Research, Air Force Research Laboratory, and industry partners.

Tim Welshمشاهده پروفایل

استاد

• Perception
• Cognition
• Cognitive Neuroscience
• +۶ مورد دیگر

Dr. Timothy Welsh is a full-time Professor in the Action & Attention Lab at the University of Toronto's Faculty of Kinesiology & Physical Education , where he also serves as Associate Dean, Research since 2023. With cross-appointments from the Faculty of Physical Education and Health, his work bridges cognitive neuroscience and motor behavior research. Academic Background Ph.D. in Human Biodynamics (McMaster University, 2002) M.Sc. in Human Biodynamics (McMaster University, 1999) B.P.H.E. in Physical and Health Education (University of Toronto, 1997) Dr. Welsh's research explores neural mechanisms of goal-directed actions across typical and neurodiverse populations. His lab investigates joint action dynamics , self-objectification effects on motor performance , and cross-reality sensorimotor adaptation , with significant focus on autism and developmental coordination disorder. Recent publications (2024-2025) reveal systematic differences in motor imagery between autistic and non-autistic adults , gender-specific learning patterns , and cross-modal sensory integration challenges in mixed reality environments . These studies demonstrate his lab's expertise in combining behavioral experimentation , EEG analysis , and computational tool development like TAT-HUM. Scientific Recognition Franklin Henry Young Scientist Award Early Distinguished Career Award (NASSP) Outstanding Graduate Supervision Award As principal investigator on 15 active grants (2015-2027), including projects on digital health platforms for concussion rehabilitation and AI-assisted VR learning modules , Welsh's work impacts both basic science and applied interventions. His lab trains students at all levels through KPE 362 (undergraduate) and KIN 5514 (graduate) courses.

Wei Chaoمشاهده پروفایل

استاد

• Sepsis
• Trauma
• Ischemic Myocardial Injury
• +۷ مورد دیگر

Wei Chao, MD, PhD , is a Professor at the University of Maryland School of Medicine with primary appointments in Anesthesiology and secondary appointments in Physiology . He serves as Vice Chair for Translational Research and Co-Director of the STAR Center . MD from Hunan Medical College, China PhD in Biochemistry, University of Texas Postdoc at University of California, San Diego Dr. Chao's research spans sepsis , trauma , and ischemic myocardial injury , focusing on innate immunity , microRNA , and bioinformatics . His work integrates mouse genetics , physiology , and machine learning to identify biomarkers and therapeutic targets. Recent publications highlight his team's discoveries in extracellular RNA sensing, TLR7 signaling , and coagulopathy in critical illnesses. His 15 most recent articles address topics like sepsis-induced organ injury, miRNA-based diagnostics, and inflammation mechanisms. Dr. Chao has received prestigious awards including the R35 Maximizing Investigators’ Research Award (NIGMS, 2021), Frontiers in Anesthesia Research Award (IARS, 2018-2021), and Colin Mackenzie & Cristina Imle Mentoring Prize (2021). He has been continuously funded by NIH for over 20 years, DoD since 2017, and holds grants from the Air Force and National Science Foundation .