جستجوی استاد راهنمای دانشگاهی

Ranjan Singhمشاهده پروفایل

استاد

• Terahertz (THz) Photonics
• Metamaterials
• 6G Communications
• +۶ مورد دیگر

Ranjan Singh is a Professor at the Division of Physics, Nanyang Technological University (NTU) Singapore, specializing in terahertz photonics and metamaterials. He holds an elected fellowship from OPTICA (OSA) for pioneering work in ultrafast terahertz photonics, active metamaterials, and sensors. His research focuses on hybrid THz-electronic-photonic technologies for 6G communications, topological photonics, spintronics, quantum materials, and high-Tc superconductors. Education: B.Eng. in Telecommunications (Bangalore University, 2001); M.Tech in Photonics (Cochin University, 2004); Ph.D. in Photonics (Oklahoma State University, 2009). Postdoctoral research at Los Alamos National Laboratory (2009–2013). Research emphasizes on-chip THz topological photonics for next-gen communication systems, with notable achievements including a $7M grant for TERACOMM (on-chip THz topological photonics). His work integrates AI-driven beamforming, reconfigurable metasurfaces, and phase-change materials for adaptive THz systems. Key awards include the 2020 Web of Science 'Top 1% Highly Cited Researcher' distinction. His lab, TeraX Labs (founded 2013), develops cutting-edge technologies like THz brain-computer interfaces, quantum emitters, and spintronic sensors. Over $12M in competitive grants has fueled innovations in THz integrated circuits, tunable optical coatings, and ultra-sensitive biosensors. Advancing 6G/XG wireless, Singh's team designs topological beamformers, intelligent reflecting surfaces (IRS), and terahertz metamaterials for multi-link systems. His work bridges theoretical physics and applied engineering, with a focus on energy-efficient, reconfigurable photonic systems.

• Brain-Computer Interfaces
• Machine Learning
• Neural Signal Processing
• +۵ مورد دیگر

Professor Guan Cuntai serves as Deputy Dean of the College of Computing & Data Science and holds the President's Chair in Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. He also maintains a courtesy appointment as Professor at the Lee Kong Chian School of Medicine. His leadership extends to multiple research institutes including serving as Director of the Artificial Intelligence Research Institute (AI.R) and Co-Director of both S-Lab for Advanced Intelligence (2020-2025) and the Rehabilitation Research Institute of Singapore (2015-2018 & 2024-2025). Professor Guan's research focuses on Brain-Computer Interfaces (BCI), Machine Learning, Neural Signal & Image Processing, and Artificial Intelligence. His work at the Centre for Brain-Computing Research (CBCR) investigates deep learning algorithms for motor activity decoding, cognitive mechanism understanding, and explainable AI for brain decoding modeling. His research spans applications in motor decoding, attention and emotion detection, silent speech decoding, and olfactory response analysis from brain signals. His significant contributions to the field have been recognized through numerous awards: Annual BCI Research Award (First Prize) King Salman Award for Disability Research Nanyang Research Award IES Prestigious Engineering Achievement Award Achiever of the Year (Research) Award Finalist of the President Technology Award Professor Guan has delivered over 100 keynote speeches and invited talks globally, including at the opening ceremony of the 7th International BCI Meeting and IEEE International Conference on Rehabilitation Robotics. His extensive publication record includes 420 refereed journal and conference papers, and he has secured significant research funding resulting in 26 granted patents and patent applications, with 17 technologies licensed to six companies across Singapore and USA. He leads the Centre for Brain-Computing Research (CBCR) which focuses on fundamental and applied BCI research, and previously established the Brain-Computer Interface research program and founded the Department of Neural & Biomedical Technology at the Institute for Infocomm Research, A*STAR before joining NTU in 2016.

Tural Khudiyevمشاهده پروفایل

استادیار

• Flexible Electronics
• Soft Robotics
• Bioelectronics
• +۳ مورد دیگر

Tural Khudiyev is an Assistant Professor at the Department of Materials Science and Nanotechnology , National University of Singapore (NUS), focusing on multimaterial electronic fibers for human-fabric interaction, soft robotics, and neural probes. He previously worked as a postdoctoral researcher at MIT's Research Laboratory of Electronics. B.Sc. in Nuclear Engineering, Hacettepe University Ph.D. in Materials Science and Nanotechnology, Bilkent University His research spans implantable and wearable electronics , stimuli-responsive drug delivery , and AI in healthcare , with a strong emphasis on scalable nanomanufacturing techniques. His publications in journals like Nature , Nature Nanotechnology , and Advanced Materials highlight innovations in thermally drawn fibers and soft bioelectronic interfaces . Key trends include flexible electronics , machine learning in textiles , and bio-integrated devices , with applications in neural engineering and power textiles . His work has been featured in media outlets such as Reuters and Business Insider . Selected as MIT’s top research story of 2021 #1 Most Read Article in Applied Optics (2015) Featured in Virtual Journal of Nanoscale Science & Technology Khudiyev's contributions to thermally drawn fibers and soft robotics demonstrate interdisciplinary collaboration between materials science, neuroscience, and wearable technology.

FENG Menglingمشاهده پروفایل

دانشیار

• Biostatistics
• Healthcare Data Analytics
• Medical AI
• +۳ مورد دیگر

**FENG Mengling** is an Associate Professor at the National University of Singapore (NUS) and holds primary affiliation with the Saw Swee Hock School of Public Health. She serves as the Domain Leader for the Biostatistics, Modelling, AI and Data Analytics (B.MAD) Domain and Director of the AI for Public Health (AI4PH) Program. Her academic credentials include a Senior Post-doc from Harvard-MIT Health Science Technology Division, a PhD from Nanyang Technological University (2009), and a Bachelor's degree (2003) from NTU. Research & Teaching: Her research focuses on causal inference for evidence-based medicine, generative models for medical time-series analysis, and healthcare data analytics. She teaches courses on big data technologies for healthcare problems and healthcare data analytics. Professional Roles & Awards: She has led the Biomedical and Healthcare Analytics Lab at the Institute for Infocomm Research (2014–2015) and currently serves as an Affiliate Scientist at Harvard-MIT. Notable accolades include the MIT Teaching & Learning Laboratory Kaufman Teaching Certificate and recognition as a finalist in MIT’s 2013 Innovation Showcase. Her work has been featured in prominent media outlets like The Straits Times and Channel NewsAsia, highlighting breakthroughs such as AI nurses and Singlish-speaking healthcare assistants. Publications & Impact: Over 50 peer-reviewed publications span AI-driven clinical decision support, medical imaging analysis, and predictive modeling in critical care. Key contributions include frameworks like MedDreamer (reinforcement learning for EHR analysis) and DivScore (LLM-generated text detection). Her research bridges causal inference, generative AI, and scalable healthcare solutions. Labs & Initiatives: As a leader in NUS’s Public Health AI Innovation Center (launching early 2025), she drives initiatives like FxMammo (AI for breast cancer screening) and the Biomedical and Healthcare Analytics Lab. Her work emphasizes ethical AI deployment and cross-disciplinary collaboration in healthcare.

Yang Yiمشاهده پروفایل

پژوهشگر

• Low-carbon building technology
• Sustainable Urban Development
• Life cycle assessment
• +۹ مورد دیگر

Dr. Yang Yi, a researcher at the National University of Singapore (NUS), has a multidisciplinary background in civil engineering, sustainability, and biomedical device development. He earned his BEng (1st Class Honours) and PhD in 2013 and 2017 respectively from NUS, focusing on lightweight sustainable construction materials and dynamic responses under blast loading. PhD, National University of Singapore, 2017 BEng (1st Class Honours), National University of Singapore, 2013 His research spans two distinct domains: sustainable construction and flexible bioelectronic devices . At NUS, he contributes to advancing implantable and wearable technologies for neuroscience applications, while previously driving sustainability initiatives at JTC Corporation and structural design at Meinhardt. The 15 most recent publications highlight his work on implantable optogenetic devices , flexible bioelectronics , and neural interfaces . These studies integrate materials science, neuroscience, and wireless engineering for applications in neuromodulation and biomedical systems. Scientific Awards: IES Sustainability Awards (Engineering Projects, 2023) Public Sector Engineering Innovation Challenge Award (2022) Silver Prize, ACI Singapore Chapter (2022) President Graduate Fellowship (2013-2017) Class of 1977 Silver Medal (2013) Multiple book prizes and medals (2010-2012) Contact: yangyi@nus.edu.sg

• Neuropsychiatry
• Attention Deficit Hyperactivity Disorder (ADHD)
• Autistic Spectrum Disorder (ASD)
• +۴ مورد دیگر

Lee Tih-Shih is a Professor in the Signature Research Programme in Neuroscience & Behavioural Disorders at Duke-NUS Medical School. He holds academic appointments as an Associate Professor at Duke University and clinical privileges at Singapore General Hospital (20% FTE), where he leads the Neuropsychiatry Subspecialty Clinic. His research focuses on neuropsychiatric disorders, cognitive training using brain-computer interface (BCI) technologies, and precision medicine for conditions like ADHD and autism spectrum disorder (ASD). He established Duke-NUS’s Neurocognitive Genomics and Brain-Computer Interface Laboratories, pioneering BCI-based therapies for neurodevelopmental and cognitive disorders. Education: BS (Honors), Northwestern University MD, Yale University PhD (Genomic and Pathophysiological Characterization of Temporal Lobe Epilepsy), Yale University MSc (Psychological Medicine), University of New South Wales Professional Contributions: Deputy Chief Examiner for Psychiatry, Ministry of Health Singapore (2014) Inaugural Chair of the Section of Neuropsychiatry at the Academy of Medicine Singapore (2017–2021) Board certifications: American Board of Psychiatry and Neurology, Fellow of Royal College of Physicians (Canada & Edinburgh) Research Interests: His work integrates BCI systems with neuroimaging and wearable devices to address attention deficits, memory disorders, and ASD. Recent studies explore home-based BCI therapies for children with co-occurring ASD and ADHD, as well as sleep behavior analysis using multi-modal data. His lab’s innovations have led to pilot trials for elderly cognitive training and epilepsy gene expression profiling. Awards: Duke-NUS Pioneer Award (2016) for advancing translational research Duke-NUS Teaching Award (2008) for excellence in medical education Teaching & Mentorship: Engages in clinical teaching at Duke-NUS, mentoring medical students and specialist trainees. His educational initiatives include team-based learning and bedside neurology training. Labs & Collaborations: Leads the Brain-Computer Interface Laboratory, collaborating with institutions like SingHealth and the National University of Singapore on neurotechnology and precision medicine projects.

• Computer Architecture
• Systems & Networking
• Approximate Computing
• +۶ مورد دیگر

Weng Fai WONG is an Associate Professor and Deputy Head of the Department of Computer Science at the School of Computing, National University of Singapore (NUS). With over three decades of academic experience at NUS, he has established himself as a leading researcher in computer systems, with particular expertise in the interface between hardware and software stacks. Dr. Wong received his B.Sc. (First Class Honors) and M.Sc. from the National University of Singapore in 1989 and 1991 respectively, followed by a Dr.Eng.Sc. from the University of Tsukuba in 1993. His academic journey began at NUS (then DISCS) in 1985, where he progressed from student to Senior Tutor in 1989, and later returned from Japan as a Lecturer in 1993. Dr. Wong's research focuses on systems and networking, with special emphasis on hardware-software co-optimization. His current research interests include approximate computing , neuromorphic computing , and hardware acceleration for deep learning. His work spans computer architecture , embedded systems , compilers and runtime systems , and programming languages . He has made significant contributions to optimizing software for novel hardware including FPGAs, GPUs, and non-volatile memory technologies. His recent publications (2023-2025) demonstrate a strong focus on energy-efficient AI computing, with particular emphasis on spiking neural networks, large language model acceleration, and FPGA-based solutions for graph processing and machine learning workloads. His research shows a clear trajectory toward green AI through hardware-software co-design that minimizes energy consumption while maintaining computational effectiveness. Dr. Wong is a Member of ACM and a Senior Member of IEEE. His paper "Exploiting half precision arithmetic in Nvidia GPUs" was a Best Paper Finalist at the IEEE High Performance Extreme Computing Conference (HPEC 2017). As Deputy Head of the Department of Computer Science at NUS, Dr. Wong plays a key leadership role in academic administration while maintaining an active research program. His work has been supported by numerous research grants, though specific details are not provided in the available information. Dr. Wong leads research in the Systems & Networking area at NUS, with particular focus on the Hardware-Software Interface Laboratory. His team explores innovative approaches to bridge the gap between theoretical computer science and practical hardware implementation, with applications spanning from edge computing to large-scale data centers.

Domenico Campoloمشاهده پروفایل

استاد

• Biomedical Engineering
• Computational Intelligence
• Control and Systems Engineering
• +۶ مورد دیگر

Domenico Campolo serves as Professor at Nanyang Technological University's School of Mechanical and Aerospace Engineering and Co-Director of the Rehabilitation Research Institute of Singapore (RRIS), where he leads robotics research initiatives and directs the Robotics Research Centre. His academic foundation includes: PhD in Micro-Engineering (2002), Scuola Superiore Sant'Anna, Pisa Diploma Degree in Engineering with Honors (1999), Scuola Superiore Sant'Anna, Pisa Laurea Degree Summa Cum Laude in Electronics Engineering (1998), University of Pisa Professor Campolo's research integrates robotics with healthcare solutions, specializing in Biomedical Engineering, Human-Machine Interaction, and Rehabilitation Robotics. His work on Brain Machine Interfaces and Haptics focuses on Ageing populations and decentralized healthcare delivery through Physical Human-Machine Interaction systems, with particular emphasis on Human Skills Learning in Contact-Rich Tasks using Computational Intelligence frameworks. He co-founded ArtiCares Pte Ltd, an NTU spinoff commercializing Rehabilitation & Assistive Robotics technologies for home-based healthcare, demonstrating successful translation of academic research into entrepreneurial ventures. At NTU, he maintains active leadership in the Rehabilitation Research Institute of Singapore and Robotics Research Centre, driving interdisciplinary projects that bridge Control Systems Engineering with real-world medical applications through innovative robotic platforms.

Darren Mooreمشاهده پروفایل

مدرس ارشد

• Adapting Carnatic Rhythms to Drum Set
• Improvisation
• Electronic Music
• +۶ مورد دیگر

Darren Moore is a Senior Lecturer at LASALLE College of the Arts, Faculty of Performing Arts. He holds a Doctorate of Musical Arts from Griffith University and a Bachelor of Music in Jazz Performance from Edith Cowan University. His work bridges teaching, professional practice, and research in improvisation, experimental music, and Carnatic rhythm adaptation. Education : Doctorate of Musical Arts (2013, Griffith University), Bachelor of Music (1998, Edith Cowan University), Associate Diploma of Jazz Performance (1995, Edith Cowan University), Certificate in Classical Percussion (1993, Edith Cowan University) Dr. Moore's research focuses on integrating Carnatic Indian rhythms into drum set language, exploring AI-driven creativity, and fostering interdisciplinary collaborations. His recent publications, including works on surrogate musicianship and cybernetic art, reflect these themes. He has been active in Southeast Asia, Japan, and Europe, contributing to global dialogues on experimental music and pedagogy. His 2023-2020 articles examine AI's role in performance, neural networks, and multimedia integration. Earlier works (2016-2013) highlight his foundational research in Carnatic rhythm adaptation and experimental practices. Dr. Moore has curated symposia like Arrhythmia and presented at international conferences, including Biennale Musica and the Jerusalem Academy of Music and Dance. His professional activities span performances at festivals in Germany, Taiwan, and Indonesia, alongside tours with artists like Akira Sakata and Yong Yandsen.

Shuai ZHANGمشاهده پروفایل

پژوهشگر ارشد

• Swarm robots
• Robotics and autonomous systems
• Multi-robot/agent systems
• +۱۰ مورد دیگر

Shuai ZHANG is a Research Fellow at Nanyang Technological University (NTU), Singapore, working under the supervision of Prof. Chen Lv. He previously served as a Postdoctoral Fellow at the University of Hong Kong (HKU) with Prof. Jia Pan and completed his Ph.D. and Master's in Marine Science and Technology at Northwestern Polytechnical University under Prof. Mingyong Liu and Prof. Xingguang Peng. He was also a Joint Ph.D. student at the Intelligent Computational Engineering Laboratory (ICE LAB) at the University of Strathclyde, UK, supervised by Dr. Edmondo Minisci. Ph.D., Marine Science and Technology, Northwestern Polytechnical University Master, Marine Science and Technology, Northwestern Polytechnical University His research focuses on Swarm robots/drones , Robotics and autonomous systems , Swarm intelligence , and Bio-inspired optimization , with applications in Multi-robot/agent systems , Differential privacy , and Distributed control . He investigates collective behaviors in robotic systems using Game theory and Evolutionary dynamics , while integrating Smooth particle hydrodynamics and Agent-based modeling . Recent publications demonstrate expertise in EEG emotion recognition , BCI-assisted neurorehabilitation , and non-invasive brain-computer interfaces , with a trend toward geometric modeling in neural networks and adaptive signal processing. His work bridges theoretical models (e.g., transformers, co-adaptive networks) with practical implementations in embedded systems and wearable technologies. Associate Editor, 2023 IEEE International Conference on Robotics and Biomimetics (ROBIO 2023) He actively contributes to academic services as a reviewer for journals including IEEE Transactions on Robotics (T-RO), IEEE Robotics and Automation Letters (RA-L), and Complex & Intelligent Systems , reflecting his impact in robotics and computational neuroscience communities.

Annabel CHEN Shen-Hsingمشاهده پروفایل

دانشیار

• Clinical Neuropsychology
• Neuroimaging Techniques (fMRI, PET, TMS)
• Cognitive Rehabilitation
• +۷ مورد دیگر

Annabel CHEN Shen-Hsing is an Associate Professor at Nanyang Technological University (NTU), Singapore, and Director of the Centre for Research and Development in Learning (CRADLE). A licensed clinical neuropsychologist (USA and Singapore), she specializes in neuroimaging and cognitive processes. Her roles include academic leadership, clinical research, and directing interdisciplinary educational neuroscience initiatives. Education & Experience: Doctorate in Clinical Rehabilitation Psychology (Purdue University) Clinical Psychology Internship (West Virginia University School of Medicine) Post-Doctoral Residency in Clinical Neuropsychology (Medical College of Wisconsin) Post-Doctoral Research Affiliate (Stanford University Lucas MRS/I Center) Former Assistant Professor, National Taiwan University Research Focus: Investigating neural substrates of higher cognition (e.g., language, memory, executive control) in the cerebellum and cerebro-cerebellar systems. Studies include neuroimaging applications for aging, dementia, schizophrenia, and neurodevelopmental disorders. She explores neuromodulation (TMS/tDCS), cognitive training, and BCI to enhance brain function and inform interventions. Lab & Initiatives: Leads CRADLE, focusing on neuroscience-based learning and education. Research spans healthy aging, atypical populations (ASD, ADHD), and translational approaches to cognitive rehabilitation.

Ariandoمشاهده پروفایل

استاد

• Quantum Materials
• Superconductivity
• Strongly Correlated Systems
• +۴ مورد دیگر

Professor Ariando serves as Provost's Chair Professor (2024-2027) and Deputy Head (Research & Graduate Studies) in the Department of Physics at the National University of Singapore's Faculty of Science. His research group focuses on quantum materials physics and applications, with particular expertise in strongly correlated oxides and emergent device technologies. His educational background includes: PhD from University of Twente, The Netherlands (2005) Professor Ariando's research centers on synthesizing novel quantum materials through a 'materials-by-design' approach, creating advanced heterostructures, superlattices, and interfaces. His work bridges fundamental physics and functional device development, with major contributions to nickelate-based superconductivity, topotactic reduction processes, and spin-polarized states in 2D material systems. Key discoveries include room-temperature colossal magnetoresistance in graphene and brain-inspired memory devices. Analysis of his publication trends reveals dominant themes in nickelate superconductors (particularly infinite-layer structures), oxide heterostructures for spintronics applications, and topological magnetic textures. His interdisciplinary work consistently bridges condensed matter physics, materials science, and electronic engineering, with publications spanning Nature, Physical Review Letters, and Advanced Materials. His scientific honors include: Faculty of Science Outstanding Scientist Award (2022) for quantum interfaces and nickelate superconductivity research Provost's Chair Professorship (2024-2027), NUS's highest research honor As Deputy Head (Research & Graduate Studies), Professor Ariando oversees departmental research strategy and graduate education. His extensive publication record in high-impact journals indicates substantial research funding, though specific grant details aren't publicly enumerated. He mentors post-doctoral researchers and graduate students through the Ariando Research Group, fostering expertise in quantum materials synthesis and characterization. The Ariando Research Group operates advanced facilities for thin-film growth and nanofabrication, maintaining international collaborations across Europe and North America. Current efforts focus on engineering quantum phases in oxide heterostructures and developing next-generation neuromorphic computing elements, with particular emphasis on nickelate superconductors and topological spin textures for memory applications.

Du Hejunمشاهده پروفایل

دانشیار

• Compliant mechanisms and topology optimization
• Miniaturized smart sensors and actuators
• Micro-electro-mechanical systems (MEMS)
• +۷ مورد دیگر

Du Hejun is an Associate Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He holds a BEng and MEng from Nanjing University of Aeronautics and Astronautics (1983, 1986) and a PhD from Imperial College London (1991). His professional journey includes roles as Research Fellow, Lecturer, Senior Lecturer, and eventually Associate Professor at NTU since 1999. He has led over 10 research grants totaling S$4 million from ASTAR, ARC, and AcRF, and has published over 140 journal papers with an H-index of 16. His research focuses on compliant mechanisms, topology optimization, MEMS, and system dynamics , with applications in smart sensors, actuators, and advanced manufacturing. Notable achievements include developing microfluidic oscillators, piezoelectric energy harvesters, and bio-inspired solar steam generators. Education: BEng/MEng (Nanjing U of Aeronautics), PhD (Imperial College London) Grants: Over 10 grants (S$4M+) from ASTAR, ARC, AcRF Awards: Teacher of the Year 1999 (MPE, NTU) Key Research Themes: Additive manufacturing, nanomaterials, MEMS, and energy harvesting

Yu Hanryمشاهده پروفایل

استاد

• Mechanobiology
• Cell and Tissue Engineering
• Biomedical Devices
• +۴ مورد دیگر

Yu Hanry is a Professor at the National University of Singapore (NUS) , affiliated with the Yong Loo Lin School of Medicine and the Mechanobiology Institute (MBI) . He also serves as a Principal Investigator at MBI and Co-Lead Principal Investigator at the Critical Analytics for Manufacturing Personalized-Medicine (CAMP) program under the Singapore-MIT Alliance for Research and Technology (SMART). Research Interests: Yu leads the Translational Mechanobiology Laboratory , focusing on integrating biological and engineering principles to develop technologies for diagnostics, therapeutics, and drug testing in the pharmaceutical and healthcare industries. His work spans liver disease modeling, biomaterials synthesis, and biomedical device engineering, emphasizing interdisciplinary collaboration and translational applications. Publications & Research Trends: Recent studies highlight his expertise in liver-on-a-chip platforms for drug testing, liquid metal neuro-interfaces , and mechanical anisotropy in cultivated meat . His work combines mechanobiology, biomaterials, and AI-driven diagnostics to address clinical and industrial challenges. Labs & Teams: Yu manages the Translational Mechanobiology Laboratory , training future leaders in R&D through integrated teams. Current lab members include Research Associates, Fellows, and PhD students, while alumni reflect his commitment to mentorship in both academic and industrial contexts.

Camilo Libedinskyمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Perception
• Working Memory
• +۷ مورد دیگر

Camilo Libedinsky serves as Associate Professor and Deputy Director of Research at the National University of Singapore (NUS), holding a Ph.D. from Harvard University and a B.S. from Chile. His educational background includes: Ph.D. in Cognitive Neuroscience from Harvard University Bachelor of Science from Chile Dr. Libedinsky's research centers on cognitive neuroscience using human and non-human primate models to investigate perception, working memory, attention, and decision-making mechanisms. His lab pioneers neurotechnology development through engineering collaborations, focusing on motor brain-machine interfaces and sensory feedback devices. Key methodologies include non-human primate neurophysiology, human psychophysics, and network-level analysis of cognitive phenomena. Analysis of his 2017-2020 publications in Nature Neuroscience, Nature Communications, and eLife reveals a cohesive research trajectory examining prefrontal cortex dynamics during working memory tasks. His work consistently explores how neural populations maintain stable representations through mixed selectivity, code-morphing, and dimensionality reduction, bridging computational neuroscience with experimental neurophysiology to decode cognitive stability mechanisms. Dr. Libedinsky leads the Libedinsky Lab, an interdisciplinary research unit combining neuroscience and engineering to develop novel neurotechnologies. The lab maintains active collaborations with engineering teams on brain-machine interface development while conducting fundamental research on neural coding principles. No information regarding student advising or research grants was provided in the source material.