جست‌وجوی استاد و پژوهشگر

JiYong Leeمشاهده پروفایل

استادیار

• Biomedical Engineering
• 3D Printing
• Microfabrication
• +۴ مورد دیگر

Dr. JiYong Lee serves as an Assistant Professor in the Department of Mechanical Engineering at the University of St. Thomas, joining the institution in Fall 2024 after completing postdoctoral research at the University of Minnesota. His work bridges advanced engineering with biomedical applications, focusing on innovative device development for healthcare solutions. Dr. Lee earned his academic credentials from YONSEI University: PhD in Mechanical Engineering (2020), specializing in 'Implantable Microneedle Drug Delivery Systems for Cardiovascular Diseases' BS in Mechanical Engineering (2014) His research expertise spans 3D Printing, Micro/Nano Fabrication, Biomaterials, and Biomedical Devices. Primary focus areas include 3D Printed Biomedical Devices, Biodegradable Pressure and Motion Sensors, Conductive Silk Fibroin Bioink, Microneedle Drug Delivery Systems, and Multifunctional Brain Windows. This work integrates cutting-edge manufacturing techniques with biological applications to address critical healthcare challenges in drug delivery, neural interfaces, and cardiovascular diagnostics. Dr. Lee's publication record demonstrates consistent innovation in microneedle-based drug delivery and 3D printed biomedical devices, with applications spanning cardiovascular disease, glucose monitoring, and neural interfaces. His research frequently employs silk fibroin and advanced microfabrication techniques, resulting in high-impact journal publications and multiple patents. Key recognitions include: KHIDI Grant from Korean Government (2021) Outside Front Cover of Journal of Controlled Release (2021) Supported by competitive funding including the KHIDI grant, Dr. Lee has developed over 15 patents in biomedical device technology. His research group actively pursues translational applications of microfabrication and biomaterials, with collaborations extending to the University of Minnesota and YONSEI University. While current advisees aren't listed, his research group website indicates active graduate student mentorship. Dr. Lee leads the JLee Research Group (https://www.jleelabs.com/), which develops next-generation biomedical devices through interdisciplinary collaboration. The lab specializes in micro 3D printing, biomaterials engineering, and neural interface technologies, maintaining strong industry and academic partnerships for technology translation.

Yasser Khanمشاهده پروفایل

استادیار

• Flexible and Stretchable Electronics
• Wearable Medical Devices
• Bioelectronics
• +۷ مورد دیگر

Yasser Khan is an Assistant Professor of Electrical and Computer Engineering at the University of Southern California's Ming Hsieh Department. He leads the Khan Lab, which focuses on sensor systems for precision health and psychiatry. His lab is part of the USC Institute for Technology and Medical Systems (ITEMS), a joint Keck-Viterbi initiative with presence in both the USC Viterbi School of Engineering and Keck School of Medicine of USC. Dr. Khan received his B.S. and M.S. in Electrical Engineering from the University of Texas at Dallas and King Abdullah University of Science and Technology, respectively. He completed his Ph.D. in Electrical Engineering and Computer Sciences at UC Berkeley in 2018, followed by postdoctoral research in Stanford University's Department of Chemical Engineering. As an expert in flexible and stretchable electronics, Khan's research focuses on additive manufacturing and hardware AI to produce skin-like wearables, implantables, and ingestibles for precision health and psychiatry. His lab's core expertise spans biophotonic devices, bioelectronic interfaces, biochemical sensors, flexible hybrid electronics, and hardware-enabled AI systems that enable near- and in-sensor data classification. His publication record shows a progression from fundamental flexible electronics research to increasingly sophisticated medical applications, with recent work focusing on ingestible electronics, AI-enabled sensing, and precision health applications. His work has been published in top journals including Nature Electronics, PNAS, Nature Communications, and Advanced Materials. 2025 USC Viterbi Junior Faculty Research Award 2025 AFOSR Young Investigator Award 2024 Packard Fellowship 2024 Zumberge Award Elevated to IEEE Senior Member (2024) Best Paper Award at IEEE BioCAS Professor Khan actively mentors students in his lab and has secured significant funding from NIH, AFOSR, Packard Foundation, and other agencies for projects developing multimodal AI and sensing technology for mental health, ingestible electronics, and precision psychiatry applications. His lab collaborates with institutions including Binghamton University, i3 Electronics, Lockheed Martin, and American Semiconductor on flexible hybrid electronics projects. The Khan Lab at USC is dedicated to making medical devices accessible to everyone through innovations in flexible and stretchable electronics. The lab's vision encompasses developing skin-like wearables that seamlessly measure vital signs, ingestible electronics for gastrointestinal monitoring, and implantable devices for precision psychiatry applications.

• Analog Circuit Design
• RF/Microwave Engineering
• VLSI Design
• +۶ مورد دیگر

Dr. Ahmet Tekin is an Assistant Professor at the Department of Electrical and Electronics Engineering, Boğaziçi University. His research focuses on analog/mixed-signal/RF/microwave VLSI design, with emphasis on biomedical electronics, wireless communication systems, and integrated circuit innovation. He specializes in developing advanced sensor technologies, antenna arrays, and energy-efficient RF systems for healthcare, IoT, and aerospace applications. Key research areas include continuous glucose monitoring devices, optoelectronic blood pressure sensors, phased array transmitters for satellite communication, and resonance-based wireless charging systems. His work integrates cutting-edge semiconductor technologies like 22nm FDSOI and SOI CMOS with innovative circuit architectures. Dr. Tekin's recent publications highlight advancements in ultra-wideband antennas, adaptive sampling techniques, and biomedical IoT communication protocols. His research bridges electronics engineering with practical applications in healthcare, robotics, and renewable energy systems. Though no awards are explicitly mentioned, his prolific output in high-impact journals underscores his contributions to the field. He advises on interdisciplinary projects at the intersection of electronics and biomedical engineering, with a focus on wearable technologies and smart medical devices. His lab collaborates on energy harvesting systems and low-power biomedical sensors, reflecting a commitment to both foundational research and real-world solutions.

Hee Sup Shinمشاهده پروفایل

استادیار

• Robotics
• Flexible and stretchable electronics
• Haptics
• +۳ مورد دیگر

Hee Sup Shin is an Assistant Professor in the School of Science and Engineering at the University of Missouri-Kansas City (UMKC). He holds a Ph.D. in Mechanical Engineering from Carnegie Mellon University (2021), an M.S. from the same institution (2015), and a B.S. from Korea University (2013). His research focuses on wearable robotics, flexible electronics, haptic systems, and biomedical devices. He leads the MiroLaboratory (https://mirolaboratory.github.io/), developing innovative technologies for healthcare monitoring and human-robot interaction. Shin's work integrates soft materials, advanced sensors, and wireless systems to create next-generation biomedical devices and robotic interfaces. Recent projects include skin-integrated wearables for sleep and respiratory monitoring, implantable bioelectronic systems, and modular sensor skins for UAVs. His research bridges mechanical engineering, materials science, and clinical applications, emphasizing practical biomedical solutions and aerospace engineering advancements. Key contributions include programmable thermal haptic interfaces for VR, soft airflow sensors for unmanned vehicles, and mechanoacoustic systems for pediatric health monitoring. His lab emphasizes translational research with applications in rehabilitation, aerospace, and wearable diagnostics. No scientific awards are explicitly listed, but his prolific publication record reflects strong academic engagement.

William Navarajمشاهده پروفایل

مدرس ارشد

• Flexible Electronics
• Electronic Skin
• Smart Sensors
• +۵ مورد دیگر

William Navaraj is a Senior Lecturer in Engineering at Nottingham Trent University, specializing in flexible micro/nanoelectronic devices, electronic skin, and assistive robotics. He holds a PhD in Electrical and Electronic Engineering from the University of Glasgow and has over 8 years of interdisciplinary research experience. Education : PhD (University of Glasgow), MSc (CSIR-Central Electronics Engineering Research Institute), BSc (Academy of Scientific and Innovative Research) Research Interests His work focuses on: Flexible Electronics Electronic Skin Bio-mimetic Systems Wearable Healthcare Devices Graphene-based Sensors Nanowire Transistors Recent Publications Trends His 2018-2025 publications demonstrate expertise in tactile sensing, wearable dosimetry, and flexible robotics. Key topics include nanoribbon transistors, 3D-printed prosthetics, and self-powered e-skin systems. Scientific Contributions 50+ peer-reviewed publications 2 filed patents 2 book chapters on wearable bioelectronics Peer reviewer for 10+ journals/conferences Grants & Collaborations Recipient of ERDF, InnovateUK, and CSIR funding. Collaborates with institutions like Humotech (prosthetic systems), STMicroelectronics, and the University of Glasgow.

• Neural Engineering
• Biomedical Microtechnology
• Neural Implants
• +۵ مورد دیگر

Thomas Stieglitz is a Professor and Director of the Professorship for Biomedical Microtechnology at the Faculty of Engineering, University of Freiburg. He maintains strong affiliations with the Bernstein Center Freiburg, the Institute for Microsystems Technology (IMTEK), BrainLinks-BrainTools, and the Intelligent Machine-Brain Interfacing Technology initiative. His research program focuses on developing advanced neural interfaces and biomedical microsystems for restoring lost body functions after neurological injury or amputation. Professor Stieglitz's research spans multiple cutting-edge areas in neural engineering. His work centers on neural implants for long-term stable interface with the nervous system, brain-computer interfaces for restoring communication and control, and neuroprosthetics for restoring sensory and motor functions. He investigates microfabrication techniques for creating biocompatible neural interfaces, wireless power and data transfer methods for implantable devices, and sensory feedback systems for prosthetic limbs. His research also addresses neuromodulation approaches for treating neurological conditions and biomechanical analysis of human movement in amputees and patients with neurological disorders. His recent publications reveal a strong emphasis on developing miniaturized neural interfaces with improved biocompatibility, enhancing wireless communication for implantable devices, and creating advanced neuroprosthetic systems with sensory feedback. The research spans from fundamental materials science for neural interfaces to clinical applications in rehabilitation, with particular focus on long-term stability of neural implants and restoring natural sensory experiences in prosthetic users. Among his notable scientific achievements is being named an IEEE Fellow in 2022, recognizing his significant contributions to biomedical engineering and neural interface technology. This prestigious honor places him among the top researchers in his field worldwide. Professor Stieglitz has advised 37 doctoral and master's students throughout his career. He has managed an impressive portfolio of 25 research projects, serving as project manager for 14 major initiatives including AI-Hand, Active Stents, and BaroLoop. His leadership extends to significant administrative roles including Geschäftsführender Direktor of IMTEK (2021-2025), membership in the University Senate, chairing the admissions committee for BSc/MSc programs, and serving as General Co-Chair for major international conferences. He leads the Intelligent Machine-Brain Interfacing Technology research group and collaborates extensively with the BrainLinks-BrainTools cluster of excellence. His laboratory combines expertise in microsystem technology, neuroscience, and clinical rehabilitation to develop next-generation neural interfaces that bridge engineering and medicine, with the ultimate goal of restoring natural function to individuals with neurological impairments.

Raudel Avilaمشاهده پروفایل

استادیار

• Bioelectronics
• Biomedical Engineering
• Mechanical Engineering
• +۵ مورد دیگر

Raudel Avila is an Assistant Professor in the Department of Mechanical Engineering at Rice University, joining in 2023 after earning his Ph.D. from Northwestern University and B.S. from the University of Texas at El Paso. His research focuses on bioelectronics for healthcare applications, including scalable, implantable, and skin-integrated devices for clinical imaging, energy harvesting, and drug delivery. He leads the Avila Research Group, actively recruiting postdoctoral, graduate, and undergraduate students for interdisciplinary projects. **Education**: Ph.D., Mechanical Engineering, Northwestern University (2023) B.S., Mechanical Engineering, University of Texas at El Paso (2017) **Research Interests**: Dr. Avila develops theoretical frameworks for bioelectronic systems, addressing scalability, power limitations, and tissue interactions. His work spans dissolvable pacemakers, microfluidic devices for NICU/PICU patients, and optogenetic implants. He combines mechanics, materials science, and electromagnetics to advance wearable and implantable technologies for clinical applications. **Awards**: He has received the NSF Graduate Research Fellowship, Ford Foundation Predoctoral Fellowship, and was recognized as a Future Trailblazer in Engineering (2022) for contributions to diversity in STEM. **Grants & Advising**: While specific grants are not detailed, his lab emphasizes translational research with potential for commercialization and clinical impact. He advises students across multiple levels and collaborates on projects like wireless breastfeeding monitoring and strain-invariant electronics. **Lab Focus**: The Computational Mechanics and Bioelectromagnetic Laboratory at Rice specializes in transient electronics, epidermal microfluidics, and wireless sensing systems for neonatal care, prosthetics, and chronic disease monitoring.

• Electromagnetics
• Wireless Communication
• RF Sensing

Lillian Olule is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick, based at Head Hall D68 in Fredericton. Her research focuses on electromagnetics, wireless communication, and RF sensing technologies. Her work spans antenna design, energy harvesting systems, and biomedical sensing applications. Recent projects include metamaterial-based energy harvesters, reconfigurable wireless platforms, and non-contact vital sign monitoring using radar technology. Her publication trends show a strong emphasis on practical RF applications, with consistent work in antenna miniaturization and efficiency optimization. Notable contributions include advancements in RF sensing for healthcare diagnostics and sustainable energy solutions.

James J.S. Nortonمشاهده پروفایل

استاد مدعو

• Brain-Computer Interfaces
• Neurotechnology
• Steady-State Visual Evoked Potentials
• +۳ مورد دیگر

James J.S. Norton is an Adjunct Professor in the Department of Electrical & Computer Engineering at the University at Albany, with concurrent roles as a Research Scientist at the National Center for Adaptive Neurotechnologies (Stratton VA Medical Center). His research focuses on developing innovative neurotechnologies including brain-computer interfaces (BCIs), spinal reflex conditioning systems, and epidermal electronic devices for medical applications. Education includes a Ph.D. in Neuroscience (University of Illinois, 2017), M.S. in Electrical and Computer Engineering (University of Illinois, 2019), and B.S. in Psychology (University of Florida, 2010). Research interests span BCI systems using SSVEP paradigms Microfluidic devices for cancer research Spinal reflex operant conditioning Wearable neurotechnology Neural signal processing algorithms with applications in rehabilitation medicine and assistive technologies. Publication analysis reveals a strong focus on translational neuroengineering, with recent work emphasizing: 1) Optimization of BCI classification methods, 2) Integration of flexible electronics in medical devices, 3) Development of new spinal reflex conditioning protocols, and 4) Applications of machine learning in neural signal processing. Awards and recognitions include: Best Paper Award at IEEE Ubiquitous Computing Conference (2018) National Science Foundation Integrative Graduate Education Fellowship (2012-2014) Web design recognition from President Obama for federal best practices (2011) Mentoring activities include advising 15+ graduate students and 50+ undergraduate researchers on projects ranging from microfluidic device development to neural signal processing algorithms. Secured funding from NSF, VA Medical Center, and University of Illinois program grants for research infrastructure development. Directs the Neurotechnology Research Laboratory at Albany Stratton VA Medical Center, focusing on adaptive neurotechnologies for rehabilitation. Collaborates with multi-institutional teams including UIUC, Wadsworth Center, and University of Florida on BCI development and applications.

Sameer Sonkusaleمشاهده پروفایل

استاد

• Bioelectronics
• Biomedical Devices
• Wearable Technology
• +۱۰ مورد دیگر

Sameer Sonkusale is a full Professor at Tufts University School of Engineering with joint appointments in Electrical and Computer Engineering , Biomedical Engineering , and Chemical and Biological Engineering . He directs an interdisciplinary research group focusing on Bioelectronics , Biomedical Microdevices , and Lab-on-Chip Microsystems , with additional roles as a Visiting Associate Professor at Harvard Medical School (2011-2012) and Wyss Institute (2018-2019). Education: Ph.D., Electrical Engineering, University of Pennsylvania (2003) MS, Electrical Engineering, University of Pennsylvania (1999) BE (Honors), Birla Institute of Technology and Science, Pilani (1996) His research spans Wearable and Ingestible Sensors , Analog/Mixed-Signal Computing , and Brain-Inspired Machine Learning , with technologies like Smart Bandages , Smart Sutures , and Lab-on-a-Pill licensed for commercialization. The NSF CAREER Award and STAT MADNESS Elite 8 recognition highlight his contributions. Research Trends: 2025 articles focus on microneedle drug delivery , thread-based biosensors , and flexible energy harvesting 2024 work emphasizes ingestible diagnostics , piezotronic gas sensors , and bioelectrochemical platforms Scientific Awards: National Science Foundation CAREER Award STAT MADNESS Elite 8 (2020) Best Paper Awards (IEEE, MRS, TRF) Best Journal Paper & Highest Cited Paper (Microsystems and Nanoengineering, Nature) Distinguished Alumni Award (BITS Pilani) Advising & Grants: Leads Tufts Biomedical Microdevices Laboratory with ongoing NIH-funded projects including Ingestible Microbiome Samplers and Multimodal Biosensing Systems . Has served on editorial boards for Scientific Reports (Nature) and IEEE Transactions journals. Professional Roles: Senior member of IEEE, OSA, MRS, BMES, and AAAS. Past chair of IEEE Biomedical Circuits and Systems Committee. Inventor of 20+ patents including Microneedle Molds , Thread Composite Sensors , and Automated Bioelectronic Systems .

Saoni Banerjiمشاهده پروفایل

پژوهشگر ارشد

• MEMS Devices
• CMOS-MEMS Sensors
• Microfabrication
• +۷ مورد دیگر

Saoni Banerji is a Research Fellow in Microfabrication at the University of Tartu's Faculty of Science and Technology, Institute of Technology. She has held continuous academic roles since 2018, including postdoctoral research and industry collaborations. Her work focuses on MEMS devices, electroactive polymers, and sensor integration in CMOS technologies. University: University of Tartu Department: Institute of Technology Roles: Research Fellow (Microfabrication), Senior MEMS Designer (OQmented) Education includes a PhD in Electronics Engineering from Universitat Politècnica de Catalunya (2017), and master's and bachelor's degrees from Nanyang Technological University and India. Research interests span MEMS design, wearable sensors, electroactive polymers for medical applications, and sensor-ASIC integration. She has contributed to projects like microscale electroactive polymer actuators and embodied intelligence measurement systems. Publications emphasize plant wearable sensors, carbon fiber sensitivity, and neural network hardware for robotics. Awards include top IEEE Sensors papers (2018) and scholarships from Catalan and Singaporean institutions. Supervised PhD student Oleksandr Syzoniuk on CMOS image sensors for medical diagnostics. Key grants include €1.3M for microscale electroactive polymer research (2021–2025).

Priyanka Gangulyمشاهده پروفایل

مدرس

• Nanomaterials Synthesis
• Photocatalysis
• Energy Applications
• +۳ مورد دیگر

Dr. Priyanka Ganguly is a Lecturer in Analytical Chemistry at the School of Human Sciences, London Metropolitan University. Her career includes a PhD in Nanotechnology from IT Sligo (2021) and postdoctoral research at the University of Glasgow as a Marie Curie researcher. She holds the 2020 Institute of Chemistry of Ireland Postgraduate Award and the 2022 Kathleen Longsdale Chemistry RIA Prize. Her research focuses on nanomaterials synthesis for energy and environmental applications, including photocatalysts for water purification, supercapacitors, and electrochemical sensors. Education: PhD in Nanotechnology, IT Sligo, Ireland (2021) Integrated M.Tech in Nanotechnology, Central University of Jharkhand (2016) Research Interests: Development of nanomaterials for energy storage (e.g., supercapacitors), environmental remediation (photocatalytic degradation of pollutants), and advanced sensor technologies. She emphasizes practical applications in industry and research environments, including biodegradable sensors and sustainable materials. Publications: Over 30 peer-reviewed articles in journals like Materials Today Energy and ACS Applied Bio Materials , with a focus on photocatalytic systems and nanocomposite design. Recent work explores hydrogen production, humidity sensors, and solar-driven water purification technologies. Awards: Institute of Chemistry of Ireland Postgraduate Award (2020) Kathleen Longsdale Chemistry RIA Prize (2022)

Henry Giddensمشاهده پروفایل

مدرس

• Antenna Design
• Additive Manufacturing in Electronics
• Software Defined Radio Applications
• +۳ مورد دیگر

Dr. Henry Giddens is a Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, affiliated with the Centre for Electronics. His research focuses on advanced antenna design, additive manufacturing of microwave components, and software-defined radio (SDR) applications. Key areas include active/passive materials for beam shaping (microwaves to mm-waves), 3D-printed antenna structures, and SDR-based sensing/classification of RF emissions. Recent work combines SDRs with novel RF front ends and antenna arrays for improved localization capabilities. Education: Not explicitly listed in provided texts. Grants: Holds a £164,451 grant from the UK Defence Science and Technology Lab for the 'Gradient Index Spatial Lens Antenna (SpaNiel)' project (2022–2024). Research interests span antennas, metamaterials, and bioelectronic systems. Notable contributions include multi-material 3D-printed lenses and RF-driven drug delivery systems. Collaborations involve cross-disciplinary projects in materials science and biomedical engineering.

Mehmet Yuceمشاهده پروفایل

استاد

• Bioelectronics
• Biosensors
• Integrated Circuits
• +۸ مورد دیگر

Professor Mehmet Yuce is a faculty member at Monash University, holding the position of Professor and Deputy Head of the Department of Electrical and Computer Systems Engineering. Previously, he served as a Senior Lecturer at the University of Newcastle (2005-2011). He holds a PhD in Electrical and Computer Engineering from North Carolina State University (2004) and an M.S. from the University of Florida (2001), with postdoctoral research at UC Santa Cruz (2005). Affiliations: Monash University (since 2011), IEEE Fellow Roles: ARC Future Fellow, Senior Editor of IEEE Sensors Journal His research focuses on low-power electronics, wearable medical devices, wireless body area networks, and energy harvesting. Key projects include developing implantable sensors, IoT health monitoring systems, and autonomous wireless capsule endoscopy. Research Highlights: - Wearable devices for continuous blood pressure monitoring. - Triboelectric nanogenerator-based sensors for respiratory and movement tracking. - Radar systems for non-invasive vital signs monitoring. Awards: - NASA Group Achievement Award (2007, 2017) - Research Excellence Award, University of Newcastle (2010) - Best Journal Paper Award, IEEE Microwave Theory and Techniques Society (2014) - ARC Future Fellowship (2014) Grants & Collaborations: - Led projects on wearable SpO₂ devices and AI-driven circadian health analysis. - Partnered on Low Observable Platform Detection research. - Authored three books on wearable medical devices.

• Energy Harvesting
• Low-Power Integrated Circuit Design
• Miniature System Design
• +۳ مورد دیگر

Hee Lee is an Assistant Professor at the University of Pittsburgh's Department of Electrical and Computer Engineering. His research focuses on energy harvesting, low-power integrated circuits, miniature system design, and battery management. He holds a Ph.D. from the University of Michigan (2014) and M.S./B.S. degrees from Yonsei University (2007/2005). Research Interests: Design of ultra-low-power analog/mixed-signal circuits for IoT and biomedical applications Energy-autonomous systems using photovoltaic, piezoelectric, and biofuel-based harvesting Miniaturized sensor nodes with embedded neural network accelerators Recent work emphasizes hybrid timestamping circuits (2025), subthreshold voltage references (2024-2025), and mm-scale neural accelerators (2023). His publications span IEEE journals and conferences like ISSCC, JSSC, and VLSI Symposia. Patents include innovations in voltage references and energy harvesting interfaces. He has developed systems like the mSAIL platform for monarch butterfly tracking and implantable IOP monitors. Lab activities involve collaboration with Michigan's Blaauw/Sylvester group on projects like System-on-Mud oceanic sensors and millimeter-scale biofuel-powered devices. Current research explores high-temperature IoT systems and neuromorphic hardware accelerators.