جستجوی استاد راهنمای دانشگاهی

• Neural Interfaces
• Micro/Nano Electro Mechanical Systems (MEMS)
• Biosystems & Computational Biology
• +۳ مورد دیگر

Michel M. Maharbiz is a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. He leads research on miniaturized bioelectronic interfaces, including neural dust implants and cyborg insects. He holds affiliations with the Berkeley Sensor & Actuator Center (BSAC), Center for Neural Engineering & Prostheses (CNEP), and SWARM Lab. His education includes a Ph.D. in EECS from UC Berkeley (2003) and a B.S. in EE from Cornell University (1997). Maharbiz's research integrates MEMS, ultrasonic systems, and synthetic biology to develop wireless neural interfaces, implantable sensors, and biohybrid devices. Key focus areas are neural dust technology for peripheral nerve recording, magnetoelastic strain sensors for medical applications, and electrochemical biosensing using bacterial flagellar motors. His publications emphasize neural interfaces, ultrasonic implants, and biomedical monitoring. Recent articles explore ultrasonic power delivery (2025), radiation detectors for oncology (2025), and fracture-healing smart plates (2019). Trends include miniaturization of wireless implants, closed-loop therapeutic systems, and novel biomaterials. Scientific Awards: McKnight Technological Innovations in Neuroscience Award (2017) Chan-Zuckerberg Biohub Investigator (2017) NSF CAREER Award (2009) MIT TR10 Top Emerging Technology (2009) Bakar Fellows Spark Award (2012) He directs the Maharbiz Lab, advancing neural dust and bioelectronic interfaces. Projects include impedance-based fracture monitoring, carbon fiber neural arrays, and hernia repair sensors. Funding includes NSF and industry partnerships for implantable device development.

Russell S. Witteمشاهده پروفایل

استاد

• Medical Imaging
• Biomedical Engineering
• Optical Sciences
• +۱۵ مورد دیگر

Russell S. Witte, PhD, is a Professor at the University of Arizona, jointly appointed in the departments of Medical Imaging, Optical Sciences, Biomedical Engineering, Surgery, and Neurosurgery. He is also a Professor at the BIO5 Institute and leads the Experimental Ultrasound & Neural Imaging Lab (EUNIL). His interdisciplinary work bridges physics, engineering, and medicine to develop innovative imaging technologies for diagnosing and treating neurological, cardiac, and oncological conditions. Education: PhD, Arizona State University, 2002 MS, Arizona State University, 2000 BS (Honors), Physics, University of Arizona, 1993 Dr. Witte's research centers on hybrid imaging modalities that combine ultrasound with light, microwaves, and electrical signals. His lab pioneers techniques such as photoacoustic imaging, acoustoelectric imaging, and elasticity mapping to visualize tissue function and mechanics deep within the body. These methods have transformative potential in functional brain imaging, cardiac electrophysiology, and early cancer detection. He is particularly interested in leveraging nanotechnology and smart contrast agents to enhance imaging specificity and therapeutic efficacy. His research program reflects a strong trend toward multimodal, physics-driven biomedical imaging, with applications spanning neuroscience, cardiology, and oncology. By integrating principles from biomedical engineering, optics, and applied mathematics, his work aims to bridge the gap between fundamental science and clinical translation. Scientific Affiliations and Memberships: Arizona Cancer Center Sarver Heart Center School of Mind, Brain, and Behavior Neuroscience Graduate Interdisciplinary Program Applied Mathematics Graduate Interdisciplinary Program Biomedical Engineering Graduate Interdisciplinary Program Dr. Witte is deeply committed to training the next generation of interdisciplinary scientists. He actively mentors students and encourages collaboration across engineering, medicine, and industry. His lab fosters a creative environment for dreamers, problem solvers, and innovators aiming to make transformative discoveries at the intersection of physics and medicine. He has established strong collaborative networks across the Colleges of Engineering, Optical Sciences, and Medicine, facilitating translational research with real-world clinical impact. Dr. Witte leads the Experimental Ultrasound & Neural Imaging Lab (EUNIL), a multidisciplinary research team dedicated to developing and refining cutting-edge imaging technologies. The lab focuses on translating novel physical principles into practical tools for disease diagnosis and treatment monitoring, particularly in chronic tendon disorders, arrhythmias, and breast cancer.

Shima Abdullateefمشاهده پروفایل

پژوهشگر ارشد

• Biomedical Engineering
• Medical Informatics
• Computational Physiology
• +۳ مورد دیگر

Shima Abdullateef is a Postdoctoral Research Fellow at the Centre for Medical Informatics within the Usher Institute, College of Medicine and Veterinary Medicine at the University of Edinburgh. Her work bridges biomedical engineering and clinical medicine through computational modeling and data science applications. Education: PhD in Biomedical Engineering, Brunel University London (2016-2020) MSc in Biomedical Engineering, University of Surrey (2014-2015) BSc in Biomedical Engineering (Bioelectrics), Science and Research IA University (awarded 2013) Research Focus: Dr. Abdullateef specializes in two interconnected domains: computational hemodynamics modeling arterial wave propagation and reflection phenomena, and machine learning-driven seizure detection using minimal-density EEG montages. Her arterial research investigates how vascular geometry impacts blood pressure dynamics, while her neuroscience work develops practical clinical tools for critical care seizure monitoring that reduce electrode requirements by 50-75% compared to standard EEG setups. Publication Trends: Her 15 most recent publications (2018-2025) reveal a strategic shift from pure cardiovascular modeling toward integrated neurological applications, with 60% focusing on seizure detection algorithms. The work consistently applies one-dimensional computational models and phase-synchrony analysis to solve clinical monitoring challenges, particularly in resource-constrained pediatric intensive care settings. Active Projects: A Window in the Brain: Developing a novel seizure detection tool for pediatric critical care (since 2020), funded through University of Edinburgh research channels Collaborative Environment: She operates within the Centre for Medical Informatics' interdisciplinary ecosystem, collaborating with clinicians from Edinburgh BioQuarter and data scientists to translate engineering solutions into clinical practice, with particular emphasis on making neurocritical care monitoring more accessible through reduced-sensor EEG technology.

Chad J Brennerمشاهده پروفایل

دانشیار

• Head and Neck Cancer
• HPV-Driven Oncogenesis
• Liquid Biopsy Technologies
• +۵ مورد دیگر

Dr. Chad J. Brenner is an Associate Professor in the Department of Otolaryngology-Head and Neck Surgery and Pharmacology at the University of Michigan Medical School. He also directs the U-M Program in Cellular and Molecular Biology, the Otolaryngology Clinical Laboratory (CLIA), and the Head & Neck Oncology Program. His research focuses on developing liquid biopsy tools for cancer detection and precision therapy, particularly in HPV-driven head and neck cancers. Key roles include membership in the Rogel Cancer Center, Kresge Hearing Research Institute, and Center for Computational Medicine & Bioinformatics. Education: B.S. in Biomedical Engineering, M.S. in Bioelectrical Engineering, and Ph.D. in Cellular and Molecular Biology from the University of Michigan, with doctoral work on prostate cancer mechanisms. Research Interests: HPV integration and cancer heterogeneity Urine- and blood-based liquid biopsies for real-time cancer monitoring Combination immunotherapy strategies for improving checkpoint inhibitor responses Genetic engineering to identify cancer vulnerabilities Clinical trial innovation for adaptive therapies Recent Work Highlights: Development of the MyHPVscore blood test for HPV-related head and neck cancer detection, and exploration of tumor-immune interactions through PD-L1 and T-cell profiling. Ongoing projects include PET-guided radiotherapy optimization and multi-omics analyses of tumor heterogeneity. Labs & Teams: Leads the Michigan Otolaryngology and Translational Oncology (MiOTO) lab and collaborates with interdisciplinary teams across computational medicine, immunology, and clinical oncology.

Soner Sonmezogluمشاهده پروفایل

استادیار

• Integrated Circuits
• Micro/Nano Electro Mechanical Systems (M/NEMS)
• Implantable Medical Devices
• +۴ مورد دیگر

Soner Sonmezoglu is an Assistant Professor of Electrical and Computer Engineering at Northeastern University's College of Engineering. His research focuses on implantable and wearable medical devices enabled by advanced microelectronics and microfabrication for neurological, diagnostic, and therapeutic applications. He leads the Sonmezoglu Lab and has secured major grants including a $13M ARPA-H award for developing photoacoustic imaging systems for early lung cancer detection. Education: PhD in Electrical and Computer Engineering, UC Davis (2017) BSc and MSc in Electrical Engineering with a minor in Solid-State Physics, Middle East Technical University (2010-2012) Postdoctoral Researcher, UC Berkeley EECS (pre-2022) Research Interests: His work spans integrated circuits, micro/nano electromechanical systems (M/NEMS), neural interfaces, and medical device integration. Key projects include ultrasonic wireless neural interfaces and millimeter-scale oxygen sensors for deep-tissue monitoring. Current initiatives include the PAIL project for lung cancer diagnostics. Awards: UC Davis Graduate Division Fellowship Scientific and Technical Research Council of Turkey Graduate Fellowship Grants & Collaborations: Principal Investigator of ARPA-H's $13M PAIL initiative. Active in the Institute for NanoSystems Innovation, contributing to chip-level technology advancements. Labs/Teams: Directs the Sonmezoglu Lab at Northeastern, focusing on next-generation biomedical device innovation through interdisciplinary microsystems engineering.

• Neuroscience
• Neuroengineering
• Epilepsy
• +۶ مورد دیگر

Professor Andrew Jackson of Newcastle University is a leading researcher in neuroscience and neuroengineering, focusing on neural interfaces, optogenetics, and epilepsy. His work spans brain-computer interfaces, spinal cord stimulation, and sleep-dependent memory processes. Key research areas: closed-loop optogenetic systems, motor cortex dynamics, cerebellar-neocortical communication, and seizure pathway analysis. Collaborations with experts like Dr. Boubker Zaaimi, Professor Yujiang Wang, and Dr. Wei Xu. Develops implantable low-power platforms for real-time neural monitoring and stimulation. His recent publications highlight advancements in neuroprosthetics for motor recovery post-stroke/spinal injury, cortical chloride homeostasis in epilepsy, and mechanisms of brain self-regulation during movement and sleep. Technologies pioneered include flexible neural electrodes, temperature self-monitoring optoelectronics, and wearable bioelectrical signal systems. His work integrates computational neuroscience with clinical applications in motor disorders and epilepsy.

Michael Levinمشاهده پروفایل

استاد

• Developmental Biology
• Bioelectricity
• Cognitive Science
• +۷ مورد دیگر

Michael Levin is a Distinguished Professor at Tufts University in the Department of Biology within the School of Arts and Sciences. He serves as Director of both the Allen Discovery Center at Tufts University and the Tufts Center for Regenerative and Developmental Biology. His laboratory investigates the intersection of developmental biology, artificial life, bioengineering, synthetic morphology, and cognitive science. Allen Discovery Center at Tufts Tufts Center for Regenerative and Developmental Biology Tufts/UVM: ICDO Harvard Wyss Institute Stibel Dennett Consortium for Brain and Cognitive Science The Proteus Institute MIT Science and Technology Center EBICS Levin's research focuses on understanding diverse intelligence in evolved, designed, and hybrid complex systems. His lab combines developmental biophysics, computer science, and behavioral science to study how cognition scales up from cellular competencies to organism-level behaviors. A key specialty is developmental bioelectricity—the study of how somatic electrical networks store, process, and act on information to control large-scale body structure. His team creates tools to read and edit the bioelectric code guiding proto-cognitive computations in the body. Levin's publications reveal a strong focus on bioelectricity, morphogenesis, and non-neural cognition across multiple model systems including Xenopus, planarians, and synthetic living constructs. His recent work explores collective intelligence as a unifying concept across biological scales, the development of microfluidic devices for measuring electrical connectivity, and optical estimation of bioelectric patterns in living embryos. His research spans fundamental developmental mechanisms to potential biomedical applications in regeneration and disease treatment. As an editor, Levin serves as Co-Editor-in-Chief of Bioelectricity and Founding Associate Editor of Collective Intelligence. He has mentored numerous post-doctoral fellows and graduate students who have gone on to establish their own research programs. His lab has received significant attention for creating novel biological machines (xenobots) and demonstrating that cells can store and transmit behavioral memory outside the brain. The Levin Lab maintains several significant research initiatives including the Allen Discovery Center at Tufts, the Tufts Center for Regenerative and Developmental Biology, and collaborations with the Wyss Institute at Harvard. The lab employs a multidisciplinary approach combining wet lab experiments with computational modeling to investigate how living systems achieve goal-directed behavior and pattern formation.

Kanwarpal Singhمشاهده پروفایل

دانشیار

• Optical Coherence Tomography
• Hyperspectral Imaging
• Confocal Microscopy
• +۶ مورد دیگر

Dr. Kanwarpal Singh is an Associate Professor in the Department of Electrical & Computer Engineering at McMaster University. His research focuses on developing novel endoscopic devices using advanced optical imaging techniques, including optical coherence tomography (OCT), hyperspectral imaging, and multiphoton microscopy. His work aims to improve imaging of internal organs for medical applications, particularly in gastrointestinal and cardiovascular diagnostics. Dr. Singh leads a lab dedicated to advancing biomedical technologies, with a strong emphasis on device innovation and clinical translation. He teaches courses such as ECE 6BB3 (Cellular Bioelectricity) and IBEHS 4QZ3 (Modelling of Biological Systems). His research interests span biomaterials, health technology, and imaging systems. He has developed endoscopic devices for longitudinal monitoring of inflammatory bowel disease and coronary artery crystal detection. His publications emphasize optical imaging advancements, including motion-corrected microscopy and three-dimensional luminal reconstruction. Dr. Singh collaborates on projects involving tissue engineering, drug delivery, and material science. His work bridges engineering and medicine, with applications in cardiology, dermatology, and neurology. Dr. Singh’s lab also explores elastography and Brillouin microscopy for biomechanical property assessment. He has contributed to portable OCT systems and smartphone-based imaging platforms. While no formal awards are listed, his extensive publication record reflects significant contributions to biomedical imaging and device development. His research addresses clinical challenges through cutting-edge optical technologies, aiming to improve diagnostic accuracy and patient outcomes.

Matthias Krauledatمشاهده پروفایل

استاد

• Machine Learning
• Brain-Computer Interface
• Signal Processing
• +۳ مورد دیگر

Prof. Dr. Matthias Krauledat is a faculty member at Hochschule Rhein-Waal , specifically within the Faculty of Technology and Bionics . His academic career spans both theoretical research and industrial application, with a focus on Machine Learning and Brain-Computer Interfaces . After completing his PhD in Electrical Engineering/Computer Science at Technische Universität Berlin , he has contributed significantly to the advancement of EEG-based communication systems and neural signal processing methodologies. Born in Essen, Germany Studied Mathematics with a minor in Computer Science at University of Münster/Oxford Doctoral research at TU Berlin on Brain-Computer Interfaces Industrial experience at Henkel AG & DMT GmbH Research Interests focus on Machine Learning applications in Neuroscience and Biomedical Engineering , specifically Brain-Computer Interfaces , EEG Signal Processing , and Adaptive Classification Systems . His work explores how algorithms can be developed to enable self-learning computers to solve complex tasks involving neural data interpretation and prediction for previously unseen data in clinical and technological contexts. Publications demonstrate a consistent contribution to Neuroscience and Machine Learning fields, with particular emphasis on Brain-Computer Interface systems from 2004 through 2009. His research has focused on reducing training requirements, improving signal processing accuracy, and developing novel interaction paradigms like the Hex-o-Spell mental typewriter while addressing statistical challenges like covariate shift in neural data analysis. Professional Experience includes academic research at TU Berlin's Intelligent Data Analysis group, industrial software development roles at Henkel AG's Scientific Computing department, and TÜV Nord Group's Optical Metrology and Machine Diagnostics divisions. He maintains active research connections through collaborative publications with leading experts in the field.

Alexey Evgenievich Osadchiyمشاهده پروفایل

استاد

• digital signal processing
• magnetoencephalography
• electroencephalography
• +۹ مورد دیگر

Alexey Evgenievich Osadchiy is a Professor at the National Research University Higher School of Economics (HSE University), where he serves as Director of the Center for Bioelectric Interfaces at the Institute of Cognitive Neuroscience. He has been working at HSE since 2013 with 21 years of scientific and teaching experience. His academic appointments include Professor at the Faculty of Computer Science in the Department of Data Analysis and Artificial Intelligence. 2023 - Doctor of Science: National Research University Higher School of Economics 2003 - PhD: University of Southern California, specialty "Physical and Mathematical Sciences" and "Neurobiology" 1997 - Specialty: Bauman Moscow State Technical University, major in Autonomous Information and Control Systems Professor Osadchiy's research focuses on digital signal processing, magnetoencephalography (MEG), electroencephalography, inverse problems, synchronization, non-invasive detection, and brain mapping. His work bridges neuroscience, computer science, and medical applications, with particular emphasis on brain-computer interfaces, neurofeedback systems, and precision medicine applications for neurological disorders. He has pioneered methods for real-time brain activity monitoring and developed novel approaches for functional connectivity estimation in neural networks. His recent publications demonstrate a strong trend toward developing hardware-enabled low-latency systems for brain-state dependent stimulation, improving MEG technology with optically pumped magnetometers, and advancing speech mapping techniques for neurosurgical applications. His work increasingly integrates AI and deep learning approaches with traditional neuroimaging techniques to create more precise and accessible brain measurement and modulation systems. Scientific Awards and Recognition HSE University "Recognition - 10 Years of Successful Work" Medal (July 2025) Letter of Gratitude from the Higher School of Economics (September 2021) Letter of Gratitude from the Faculty of Computer Science at HSE (August 2018) Allowance for defending a doctoral dissertation (2023–2026) Bonuses for publications in international peer-reviewed journals (2015–2029) Professor Osadchiy has successfully advised numerous graduate students and doctoral candidates, with eight dissertation research projects currently under his supervision. His research has been supported by significant grants including a Russian Ministry of Education and Science contract for "System for registration and decoding of human brain bioelectric activity" (2014-2017), RFBR grants for "New non-invasive experimental-mathematical paradigm for preoperative magnetoencephalographic mapping of speech cortex" (14-02-00917, 16-04-01863), and projects on "Endogenous enhancement of brain-computer interface efficiency." As Director of the Center for Bioelectric Interfaces at the Institute of Cognitive Neuroscience, Professor Osadchiy leads a multidisciplinary team working on cutting-edge neurotechnology. His center collaborates with the Federal Brain and Neural Technology Centre at the Federal Medical and Biological Agency, where they established the Laboratory of Medical Neural Interfaces and Artificial Intelligence for Clinical Applications. The center is actively involved in developing brain-computer interfaces for rehabilitation, particularly for stroke patients and those with locomotor function disorders, and has created Russia's first neurointerface for controlling exoskeletons using imagined lower limb movements.

• Nanobioengineering
• Biosensors
• Biomedical Signal Processing
• +۳ مورد دیگر

Javier Gomez Fernandez is a researcher at the Nanobioengineering Group within the Institute for Bioengineering of Catalonia (IBEC), affiliated with the University of Barcelona. His work bridges nanotechnology and biomedical applications, focusing on advanced bioimaging and sensor development. Research Focus: Nanoscale bioelectrical characterization, smart nano-bio-devices, and molecular imaging Technological Impact: Development of low-power gas sensors and nanoscale membrane analysis tools His interdisciplinary approach contributes to fields like biomedical signal processing, biomaterials, and precision medicine. Recent projects highlight collaborations with clinical institutions and industrial partners to address challenges in muscular dystrophy and antimicrobial therapies. Key contributions include: 2020 IEEE Access paper on energy-efficient gas sensors 2010 PNAS study on nanoscale cell membrane characterization

Oscar Casasمشاهده پروفایل

دانشیار

• Electronic Instrumentation
• Biomedical Engineering
• Sensor Interfaces
• +۴ مورد دیگر

Dr. Jaime Oscar Casas is an Associate Professor of Electronic Engineering at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Telecommunications and Aerospace Engineering in Castelldefels (EETAC) and the Department of Electronic Engineering. He has held this position since receiving his Doctor Ingeniero de Telecomunicación degree from UPC in 1998, following his 1994 Ingeniero de Telecomunicación degree from the same institution. His research focuses on electronic instrumentation , bioimpedance sensors , and noninvasive physiological measurement systems . He is a key member of UPC's ISI Research Group (Instrumentation, Sensors & Interfaces) and the AGROTECH-UPC Agrofood Technology Research Center . His work bridges biomedical engineering, wearable technology, and precision agriculture, with over 338 documented research activities including articles, patents, and grants. Notable contributions include innovative systems for ECG monitoring, impedance plethysmography, and noninvasive cardiovascular diagnostics. He has led projects funded by EU Horizon 2020, Spanish Ministry of Science, and Catalan Government programs. Awards include the Women in TIC Award 2019 and the Hemav Foundation Awards . He advises engineering students on real-time signal processing and wearable device development. His lab develops low-power medical sensors, smart agricultural monitoring tools, and systems for human-motion analysis with over 70 indexed journal articles and 106 conference presentations. He collaborates with industry partners on projects like the 6G-OpenLab and eSMILE initiative for assistive technologies.

Haldoupis Christosمشاهده پروفایل

استاد

• Ionospheric Physics
• Plasma Instabilities
• Atmospheric Waves
• +۵ مورد دیگر

Christos Haldoupis is a retired Professor in the Department of Physics at the University of Crete, where he established his career starting in 1978. He founded and led the Laboratory of Ionospheric Physics, contributing significantly to atmospheric and space physics research for over three decades until his retirement in 2014. Education includes: B.Sc. in Physics from University of Thessaloniki (1970) Ph.D. in Ionospheric Physics from University of Saskatchewan His research focuses on ionospheric plasma physics, particularly: Dynamics of sporadic E layers and their relationship with atmospheric waves Transient luminous events (sprites/elves) and their ionospheric effects Atmospheric electricity and VLF electromagnetic wave studies Geophysical instrumentation development including radar systems He maintains active collaborations worldwide through visiting positions in Norway, Canada, Germany, France, and Japan. Publications demonstrate concentrated focus: Dominant themes in sporadic E layer formation and variability Atmospheric wave-ionosphere interactions across multiple timescales Lightning-induced electromagnetic phenomena and their ionospheric signatures Innovative ionospheric measurement techniques and algorithms Research infrastructure development includes establishing radio Doppler and interferometry systems for ionospheric monitoring. International collaborations span Europe, North America and Japan.

Ana Rusuمشاهده پروفایل

استاد

• Energy-Efficient Circuits
• Biomedical Applications
• Wireless Communications
• +۶ مورد دیگر

Ana Rusu is a Professor and leader of the Mixed-Signal Integrated Circuits and Systems Group at the Division of Electronics and Embedded Systems, Department of Electrical Engineering, KTH Royal Institute of Technology. She holds a Docent title from KTH and has been at the university since 2001. Her research focuses on energy-efficient circuits, biomedical applications, and emerging technologies like graphene and SiC. She has supervised numerous PhD students and led major projects such as AIsing (VR-funded) and Implantable Bioimpedance Spectrometer (SSF-funded). Education: Diploma Engineer (M.S.) from Technical University of Iasi (1983), PhD from Technical University of Cluj-Napoca (1998), Docent in Circuit Theory (KTH, 2006). She previously served as Director of Doctoral Education at the School of ICT (2013–2017) and Vice-Dean at EECS (2018–2022). Research interests include energy harvesting, spintronics-CMOS integration, and Ising Machines. Her work spans over 150 peer-reviewed publications and includes awards like the T-NANO Best Paper (2020) and ISCAS Best Paper (2023). She has advised 16+ PhD graduates and actively contributes to academic governance and education.

Lim Chwee Teckمشاهده پروفایل

استاد

• Mechanobiology
• Collective Cell Migration
• Human Disease Mechanobiology
• +۵ مورد دیگر

Lim Chwee Teck serves as the NUSS Professor of Biomedical Engineering at the National University of Singapore (NUS) and Director of the Institute for Health Innovation and Technology (iHealthtech). He is also the Founding Director of the Singapore Health Technologies Consortium and leads the Technology Innovation for Mechanobiology Group at NUS. His research spans mechanobiology of human diseases, microfluidic biomedical technologies, and soft wearable devices for healthcare applications. Key interests include collective cell migration mechanisms, cancer mechanobiology, and liquid biopsy development. His work integrates engineering principles with biological systems to address critical challenges in disease diagnosis and therapy. Professor Lim's publication portfolio reveals strong focus trends: (1) Wearable sensor technologies for continuous health monitoring (25% of recent work), (2) Microfluidic platforms for cancer cell analysis (20%), (3) Fundamental mechanobiology of epithelial systems (30%), and (4) AI-integrated diagnostic systems (15%). His team consistently publishes in high-impact journals including Nature family, Science Advances, and PNAS. Award Highlights: Nature Lifetime Achievement Award for Mentoring in Science Highly Cited Researcher (5 consecutive years) President’s Technology Award Wall Street Journal Asian Innovation Award (Gold) Human Frontier Science Program Research Grant recipient Professor Lim actively mentors students and researchers, with multiple PhD candidates and postdoctoral fellows in his MechanoBioEngineering Laboratory. His research program is supported by significant grants including the Human Frontier Science Program and Singapore's National Research Foundation funding. The laboratory operates within NUS's Mechanobiology Institute, featuring specialized microfabrication facilities and cell mechanics testing equipment. Current initiatives focus on commercializing six spin-off technologies through his entrepreneurial ventures. The MechanoBioEngineering Laboratory maintains strong industry partnerships for technology translation, particularly in wearable diagnostics and cancer liquid biopsy. Ongoing projects include AI-driven virtual reality therapy systems and next-generation microneedle platforms for chronic wound management.