Kaushik Roy is the Edward G. Tiedemann Jr. Distinguished Professor of Electrical and Computer Engineering at Purdue University's Elmore Family School of Electrical and Computer Engineering. He leads research in AI algorithms, neuromorphic computing, low-power electronics, and design-technology co-design. His work bridges hardware innovation with advanced computational models. Education: B.Tech, Indian Institute of Technology, Kharagpur (1983) Ph.D., University of Illinois at Urbana-Champaign (1990) Research Focus: Dr. Roy's interests span neuromorphic systems, energy-efficient computing architectures, and AI hardware. Key areas include neuromorphic sensors, spiking neural networks, and ADC-less in-memory computing. His team explores applications in robotics, autonomous systems, and privacy-aware machine learning. Publications Trends: Recent work emphasizes neuromorphic navigation, unlearning algorithms, and hardware-software co-design for transformers. His research often intersects edge AI, security-aware computing, and bio-inspired systems. Awards & Labs: While no specific awards are listed, his leadership in founding the Neuromorphic Research Lab (NRL) at Purdue highlights his impact. The NRL focuses on next-generation computing paradigms. Grants & Collaborations: His projects likely involve multi-disciplinary grants given his work on neuromorphic robotics and secure AI systems. Collaborations span academia and industry, driven by Purdue's engineering partnerships.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۷۳۶-۷۵۰ از ۱٬۶۶۷ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
Prof Martina Doblin is a Professor at the University of Technology Sydney (UTS) and CEO of the Sydney Institute of Marine Science (SIMS). She leads the Productive Coasts research program within UTS's Climate Change Cluster (C3) and holds roles in multiple marine science organizations. Her expertise spans marine microbiology, climate change impacts, and ecosystem resilience. Doblin's research focuses on algal communities' responses to environmental change and their applications in bio-industries. She has secured over $10M in grants and contributed to policy through marine consulting. Key roles include Board memberships in marine observing systems and the National Marine Sciences Committee. Her education includes a PhD from the University of Tasmania and a BSc (Hons) from Monash University. Professional certifications include the GAICD and a Developing Strategic Thinking program from Melbourne Business School. Education: PhD (University of Tasmania), BSc (Monash University) Research Focus: Algal resilience, climate change effects, marine contaminants, and biotechnological applications Grants: Over $10M from ARC and other sources Awards: Fulbright Visiting Scholar, GAICD Key Institutions: UTS, SIMS, C3 Research Institute Her recent work includes studies on dinoflagellate taxonomy, microbial trait evolution, and pharmaceutical pollution in estuaries. Articles highlight shifts in microbial communities under climate stress and innovative methods for quantifying algal phenotypes. Doblin advises on marine policy and leads initiatives to improve environmental outcomes in aquatic industries.
Jin Wei-Kocsisمشاهده پروفایل
دانشیار
Jin Wei-Kocsis is an Associate Professor in the Department of Computer & Information Technology at Purdue University's Polytechnic Institute. She previously served as an Assistant Professor at The University of Akron (2014-2019) and held a Postdoctoral Research Fellowship at the National Renewable Energy Laboratory (NREL) in 2014. Her research focuses on cybersecurity for cyber-physical-social systems, blockchain-enabled IoT paradigms, and bio-inspired reinforcement learning. Education: PhD, Electrical and Computer Engineering, University of Toronto (2014) M.S., Electrical Engineering, University of Hawaii at Manoa (2008) B.E., Electronic Information Engineering, Beihang University (2004) Research Interests: Deep learning-driven security and privacy Blockchain-powered secure computing Situational awareness via social sensing Decentralized computing for deep space exploration Low-complexity machine learning algorithms Awards: NSF EAGER Grant NASA Early Career Faculty Grant DoE/SuNLaMP Award Multiple best paper awards Grants & Leadership: Interactive Multi-Human Multi-Remote-Robot Operations (2022) CERIAS Ukrainian/US Cybersecurity Curriculum Program (2021) Founder, Applied AI Research Center at Purdue Polytechnic Director, Cyber-Physical-Social Systems Design Lab
- Nanotechnology
- Neuromorphic Computing
- Spintronics
- +۷ مورد دیگر
Jean Anne Incorvia is an Associate Professor in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin, leading the Integrated Nano Computing (INC) Lab. She holds the Engineering Foundation Endowed Faculty Fellowship and has expertise in nanodevices leveraging spintronics, nanomagnetism, and bio-inspired computing. Her research spans neuromorphic systems, 2D materials, and computing in extreme environments. Education: Bachelor’s in Physics, UC Berkeley (2008) Ph.D. in Physics, Harvard University (2015) [cross-registered at MIT] Research Focus: Incorvia’s work integrates emerging materials and physics to advance low-power computing. Key areas include spintronic devices, magnetic tunnel junctions, and neuromorphic circuits for AI applications. She explores applications in health, energy, and security, with a focus on radiation-hardened systems. Grants & Collaborations: 9 NSF grants, 4 DOE grants, and partnerships with Sandia National Labs, Samsung, TSMC, and Lockheed Martin. Leadership roles in conferences like IEDM, DRC, and Intermag. Awards: NSF CAREER Award (2020) IEEE Magnetics Society Early Career Award (2020) Intel Rising Stars Award (2021) APL Rising Star Award (2023) Labs & Teams: Directs the INC Lab and participates in the Microelectronics Research Center. Her lab focuses on device codesign, AI-driven material discovery, and neuromorphic systems.
Zaiping Guo is a Distinguished Professor and Honorary Fellow at the University of Wollongong's Institute for Superconducting and Electronic Materials. Her research focuses on nanomaterials for energy storage, particularly advancing high-performance batteries for electric vehicles and renewable energy grids. She leads interdisciplinary projects on lithium-ion, sodium-ion, potassium-ion batteries, and supercapacitors, emphasizing material synthesis, surface modification, and electrochemical mechanisms. Prof. Guo has secured over 64 external grants since 2017, including ARC Training Centres for Battery Recycling and Future Grids. Her work spans cutting-edge technologies like CO2-fixation batteries and aqueous zinc batteries for grid storage. She actively supervises PhD/Master's students in energy storage and materials engineering. Her research outputs (727+ publications) highlight innovations in battery cathodes, anodes, electrolytes, and recycling. Key themes include nanostructured materials, in-situ spectroscopic analysis, and sustainable energy systems. Prof. Guo collaborates globally, leveraging synchrotron facilities and industry partnerships to bridge fundamental science and industrial applications.
Taiyun Chiمشاهده پروفایل
استادیار
Taiyun Chi is an Assistant Professor in the Department of Electrical and Computer Engineering at Rice University, affiliated with the Rice Integrated Systems and Electromagnetics (RISE) Lab and Rice Wireless. He joined Rice in January 2019 after earning his B.S. (with highest honors) from the University of Science and Technology of China (USTC) in 2012 and his Ph.D. from Georgia Institute of Technology in 2017. His research focuses on analog/RF/mmWave integrated circuits for high-speed wireless communication and bio-sensors/stimulators for neuro-engineering. Notable contributions include advancements in Doherty power amplifiers, millimeter-wave transceivers, and ultrasonic biomedical sensing systems. Dr. Chi has received prestigious awards such as the NSF CAREER Award (2023), IEEE CICC Best Paper Award (2017), and Sigma Xi Best Thesis Award (2018). His RISE group has also garnered multiple best paper recognitions, including IEEE RFIC and IMS finalists. His work bridges cutting-edge circuit design with biomedical applications, emphasizing energy-efficient wireless systems and non-invasive medical technologies. The lab actively explores AI-driven RFIC design and physical-layer security for IoT devices.
Bishal Lamichhaneمشاهده پروفایل
عضو هیئت علمی
Bishal Lamichhane is an Assistant Research Professor at Rice University's Electrical and Computer Engineering department, affiliated with the Digital Health Lab. He focuses on bio-behavioral machine learning solutions for mental health diagnosis and monitoring, leveraging speech, wearables, mobile sensing, and imaging. With industrial experience at Philips Research and Samsung, he holds a PhD from Rice, MS from TU/e (cum laude), and BTech from SVNIT. Education: PhD in Electrical and Computer Engineering, Rice University MS in Electrical Engineering (Signal Processing), TU/e B.Tech in Electronics and Communication, SVNIT Research Interests: Bio-behavioral modeling, wearables, mental health applications, and machine learning. His work bridges clinical and industrial innovations, addressing challenges like psychotic relapse prediction and depression severity assessment using multimodal data. Articles Trends: Recent work emphasizes AI-driven mental health tools, including impulsivity modeling, depression monitoring via mobile sensing, and leveraging ChatGPT for diagnostics. He explores both clinical and cybersecurity applications, such as wireless network analysis. Awards: Includes Rice Future Faculty Fellow, ICC Best Paper Award, and multiple academic scholarships. Grants & Roles: Secured NSF ERC seed funds, serves as adjunct professor at Baylor College of Medicine, and guest editor for PLOS Digital Health. He leads the 'Machine Learning Algorithms for Schizophrenia Detection' research topic. Labs: Digital Health Lab (Rice), Scalable Health Labs, and collaborations with Harris Health/Baylor College of Medicine.
Dr. Anuradhi Welhenge is a Lecturer at Curtin University's School of Electrical Engineering, Computing and Mathematical Sciences within the Faculty of Science and Engineering. She holds a BSc in Electronics Engineering from Asian Institute of Technology (Thailand), Master of Biomedical Engineering from University of New South Wales (Australia), and Doctor of Engineering in Telecommunications from Asian Institute of Technology. With international work experience across Australia, Japan, Thailand, and Sri Lanka, her research spans biomedical engineering, IoT systems, and signal processing. Research interests focus on developing novel computational approaches for healthcare applications, including fog computing-based medical diagnosis systems, wireless body sensor networks for physiological monitoring, and deep learning solutions for telehealth. Her work integrates signal processing techniques with IoT architectures to create sustainable medical technologies. Articles demonstrate strong trends in AI applications for healthcare, particularly deep learning architectures applied to medical imaging diagnostics, physiological signal processing, and IoT-based health monitoring systems. Recent publications show growing emphasis on security frameworks for medical IoT and multi-modal healthcare applications. Scientific Awards: Asian Institute of Technology Fellowships (2011, 2012) Best Paper Awards at UMEDIA 2015 and IEEE ICKII 2019 University of Kelaniya Senate Research Honours (2021, 2022) Outstanding Researcher Award (2022) Active in academic service with memberships in IEEE, IET, and Institution of Engineers Sri Lanka. Coordinates industry-academia collaborations through telehealth research and student mentorship. Leads research on sensor network implementations and computational healthcare systems through university laboratory facilities, collaborating with international teams on medical IoT innovations.
Germanas Peleckisمشاهده پروفایل
پژوهشگر ارشد
Germanas Peleckis is the Executive Director of UOW Research Platforms and a Principal Research Fellow at the University of Wollongong's Institute for Superconducting and Electronic Materials. His research focuses on elucidating materials properties using non-destructive techniques such as X-ray diffraction and thermoelectric measurements, with expertise in metals, alloys, ceramics, superconductors, and bio-materials. Over the past decade, he has transitioned to academic governance, leading major research infrastructure projects like the ARC LIEF-funded initiative to establish ultra-thin film and ultra-high pressure analysis tools in Australia. His work spans advanced materials synthesis, structural characterization, and energy storage technologies. Recent projects include developing sodium-ion batteries with enhanced cycling stability and investigating medium-entropy alloys' microstructural evolution. He has secured significant funding through ARC and institutional grants, focusing on solid-state batteries and infrastructure development. Dr. Peleckis advises graduate students on topics like superconducting thin films and phase transformations in entropy alloys. His contributions extend to managing interdisciplinary research platforms, bridging fundamental materials science with applied engineering solutions.
Veronica Sofianosمشاهده پروفایل
استادیار
Dr. Veronica Sofianos is a Lecturer/Assistant Professor at the University College Dublin (UCD) School of Chemical and Bioprocess Engineering since 2020. She holds a PhD in Chemistry from the University of Ioannina, recognized with the 'Best Thesis' award in 2014. Prior roles include Research Fellowships at Curtin University (Australia) and casual academic positions at the University of Melbourne. Research: Her work focuses on nanomaterials for sustainable energy, including thermochemical energy storage using limestone-based materials and green hydrogen production via electrocatalytic water splitting. Key areas include additive engineering for improved material performance, electrocatalyst design, and scalable synthesis methods. Awards: Curtinnovation Award for Science and Engineering (2019) Fuel and Energy Technology Institute Research Award (2018) Best PhD Thesis (2014) Grants & Activities: Secured grants from Enterprise Ireland, Australian Research Council, and others. Engaged in professional activities like RSC committee roles and public engagement initiatives such as Soapbox Science 2022. Teaching: Coordinates modules on Sustainable Energy, Nanomaterials, and Bio-material Interactions. Previously taught courses in Nanotechnology and Science Communications.
Dr. Eoin O'Cearbhaill is an Associate Professor in Biomedical Engineering at University College Dublin's School of Mechanical and Materials Engineering. He founded the UCD Medical Device Design Group in 2013 and has expertise in medical device innovation, 3D printing, and minimally invasive systems. His research focuses on bioresorbable materials, microneedle technology, and vascular tissue engineering. Education: BE (Biomedical Engineering) and PhD from NUI Galway. Affiliations: Director of UCD Centre for Biomedical Engineering (2018–present) and Fellow of UCD Conway Institute (2014–present). Research Interests: Medical device design, additive manufacturing, microneedle arrays, and bio-inspired adhesives. He has pioneered projects like the 'mechanical clutch needle' and bio-inspired microneedle adhesives, earning awards such as the 2013 IChemE Innovative Product of the Year. Key Achievements: Over 50 grants secured, including funding for bioresorbable magnesium implants and 3D-printed cardiac models. His work spans collaborations with industry and academia, addressing unmet clinical needs in drug delivery and tissue engineering. Awards: 2023 NovaUCD Innovation Champion, Allergan Innovation Award (2018), MIT Sloan BioInnovations Best Presentation (2012).
Professor Pádraig Cunningham is a Full Professor in the School of Computer Science at University College Dublin. He holds a B.E., M.Eng.Sc. from NUI Galway, and a Ph.D. from Trinity College Dublin. His research focuses on machine learning, data mining, and applications in bioinformatics, medicine, and finance. He has published over 170 peer-reviewed papers and secured over €2.5M in research grants. Affiliations: University College Dublin, former directorships at New WorldIQ and Prediction Dynamics. Grants: ML-Labs (SFI 2019-2027), Knowledge Discovery Project (SFI 2002-2006). Research interests include applied AI techniques for decision support, with a focus on real-world data analysis. He has served as Programme Chair for PAIS 2004 and on editorial boards like the Artificial Intelligence Review. Awards include ECCAI Fellowship and best paper recognitions. Teaching: Coordinates modules on Machine Learning, Data Science, and Python programming.
Christopher Rose is a Professor of Engineering and Director of STEMJazz Programs at Brown University. He holds an IEEE Fellowship and has served on the Army Science Board. His research spans communication theory applications in molecular systems, wireless networks, and cosmic communication. Rose earned degrees from MIT and has held roles at AT&T Bell Labs and Rutgers University. Education: S.B., S.M., Ph.D. in Electrical Engineering from MIT (1979–1985) Research interests include molecular informatics, communication theory in biological systems, and adversarial information games. He pioneered studies on inscribed matter communication and cosmic signals. Notable achievements include the 2003 Marconi Prize and 2022 IEEE Teaching Award. Collaborates with chemists and computer scientists on projects like molecular memory and chemical computing. Leads STEM initiatives and teaches communication systems courses. Awards: Extensive recognition for teaching and research, including Brown’s ONYX Society Award. Active in editorial roles for IEEE JSAC and Entropy journal.
Gary Austin is a Professor in the Landscape Architecture Program at the University of Idaho's College of Art and Architecture. He holds an MLA from California State University, Pomona, and a Bachelor of Arts in History. His research focuses on constructed wetlands, green infrastructure, urban biodiversity, and low impact development. He has authored two influential books: Constructed Wetlands for Sustainable Development (2016) and Green Infrastructure for Landscape Planning (2014), along with peer-reviewed articles in journals like Landscape Journal and Journal of Green Building . Professor Austin teaches courses such as LARC 151 (Introduction to Landscape Architecture) and LARC 453/455 (Senior Design Studio). His outreach projects include urban planning initiatives in Idaho towns like Cascade and Priest River, collaborating with architecture and bio-regional planning faculty. He has led the University of Idaho's Landscape Architecture Study Abroad Program in Cremolino, Italy, for over 13 years. His current research explores cold-climate greenhouses, urban biological diversity, and community agriculture, with projects including book chapters on landscape and food systems and low impact development methodologies. He emphasizes integrating natural and human systems through landscape planning, addressing climate adaptation and sustainable development challenges.
- Synthetic Biology
- Systems Biology
- Biochemistry
- +۵ مورد دیگر
Pamela Silver is the Elliot T. and Onie H. Adams Professor of Biochemistry and Systems Biology at Harvard Medical School and a Founding Core Faculty member at the Wyss Institute for Biologically Inspired Engineering. As a founding member of Harvard's Department of Systems Biology, she directs the Silver Lab and previously served as the first Director of the Harvard University Graduate Program. Her pioneering synthetic biology research engineers cells into functional systems including sensors, memory devices, bio-computers, and solar-powered bioproduction platforms. Key innovations encompass inflammation-sensing bacteria and the Bionic Leaf technology—which exceeds natural photosynthetic efficiency—and aims to revolutionize stem cell design, therapeutic development, and environmental solutions through rational cellular programming. Dr. Silver's scientific excellence is recognized through: Innovation Award at BIO2007 InnoCentive Award NIH MERIT award Fellow of the Radcliffe Institute Joseph Henry Lecturer at the Washington DC Philosophical Society Member of the National Academy of Sciences She secures major research funding from NIH, DARPA, DOD, DOE, NSF, Novartis, Merck, and The Moore Foundation while mentoring the next generation of scientists through her laboratory. Her leadership extends to the Wyss Institute's Validation Projects and industry partnerships like Circe Bioscience's microbial decarbonization technology. As founder of iGEM.org and active participant in editorial boards (Nature Molecular Systems Biology, ACS Synthetic Biology, etc.), she shapes synthetic biology education and discourse while advancing interdisciplinary collaboration across Harvard's research ecosystem.
فقط ۷۵۰ نتیجه اول نمایش داده میشود. برای رسیدن به نتایج دقیقتر، جستوجو را با فیلترها محدودتر کنید.