جست‌وجوی استاد و پژوهشگر

• Biological robots
• Modular robotics
• Marine automation
• +۵ مورد دیگر

Houxiang Zhang is a Professor and Deputy Head of Department (Research) at the Department of Ocean Operations and Civil Engineering , Faculty of Engineering , Norwegian University of Science and Technology (NTNU) in Ålesund, Norway. He joined NTNU in 2011 and holds an industry-supported gift professorship (2011-2016). His research focuses on biological robots/modular robotics and virtual prototyping/marine mechatronics , with over 300 publications and 8 patents. Ph.D. in Mechanical and Electronic Engineering (2003) Habilitation in Informatics (2011) Research Interests include: Bio-inspired robotics and system design Marine automation and ship intelligence Digital twin technology and co-simulation Hybrid modeling approaches Artificial intelligence applications in maritime systems Scientific Awards and recognitions: Multiple IEEE best paper awards (2008, 2014, 2015, 2023, 2024) Finalist in IEEE Robotics and Automation conferences Dimitris N. Chorafas Award for outstanding PhD work Academy memberships: IEEE Senior (2012), NTVA (2019), DKNVS (2024) Advising and Research Leadership : Supervised 21 PhD/Master's students WP Leader for EU Horizon project RoboSAPIENS (2024-2026, 7.5M Euros) Key member in Norwegian Digital Ocean Space-Møre Ocean Lab (2023-2030, 30.7M NOK) Coordinated major SFI projects (2015-2022, 190M NOK each)

Subham Sahooمشاهده پروفایل

دانشیار

• Power Electronics
• Microgrid Systems
• Cyber-Physical Systems
• +۴ مورد دیگر

Subham Sahoo is an Associate Professor at Aalborg University's Faculty of Engineering and Science, Department of Applied Power Electronic Systems. His research focuses on power electronic control, reliability, and system optimization with particular emphasis on reliability of power electronic converters. He holds a PhD in Electrical Engineering from Indian Institute of Technology Delhi with dissertation on Coordinated Control of DC Microgrids. Dr. Sahoo's research interests span power electronics, microgrid systems, cyber-physical systems, reliability engineering, and AI applications for power systems. His work integrates advanced control strategies with cybersecurity considerations for modern power systems. He has developed innovative approaches for stability assessment, cyber-resilient control, and condition monitoring of power electronic systems. His recent publications demonstrate a strong focus on addressing critical challenges in modern power systems including cyber threats to microgrids, stability of grid-forming inverters, and data-light methods for system assessment. The research shows a clear trajectory toward more reliable, flexible, and secure power electronic systems with increasing integration of AI techniques. Scientific Awards: Innovative Students Projects Award 2019 - Doctoral Level Dr. Sahoo serves as Principal Investigator and Co-Investigator on multiple significant research projects including PRISM (Probabilistic bio-plausible machine learning) funded by The Lundbeck Foundation and SAFEr Grid (Store-And-Forward Energy Grid) funded by HORIZON-ERC-SYG. He has supervised PhD students and collaborated with institutions including Massachusetts Institute of Technology where he was a guest researcher from October 2023 to March 2024. His external engagement includes serving as Chair of the IEEE Joint IES/IAS/PELS Chapter since January 2025. His work contributes to UN Sustainable Development Goals related to clean energy and sustainable infrastructure.

• Bifurcation Theory
• Chaos Theory
• Energy Harvesting
• +۴ مورد دیگر

Michele Bonnin is an Associate Professor at the Politecnico di Torino , Department of Electronics and Telecommunications (DET). He contributes to teaching in Electromagnetism and Circuit Theory and Electrical Engineering courses across Computer Engineering , Electronic Engineering , and Physical Engineering programs. External Lecturer, University of Turin (2011-2017) Teaching activity at Turin Polytechnic University in Tashkent (2024) His research spans Nonlinear Dynamics , Energy Harvesting , and Stochastic Processes , focusing on: Phase Noise in Oscillators Memristor-Based Systems Ultra-Low-Voltage Circuit Reliability Stochastic Averaging Frameworks Recent work explores Nonlinear Multi-DOF Mechanisms for vibration energy harvesting and Edge of Chaos Theory in biological oscillator models. His 2025 articles highlight Memristor Amplification , SRAM Variability , and MEMS Optimization . Scientific Awards: BEST PAPER OF THE YEAR (2004), International Journal of Circuit Theory and Applications He serves as Associate Editor for Nonlinear Engineering and Computation , and contributes to doctoral programs in Sustainable Development and Climate Change (2021-2024). His research group LiNCS (Linear and Nonlinear Circuits & Systems) drives projects like RECOMMEND (2024-2027) and COMBlaser (2015-2017).

Jim Austinمشاهده پروفایل

استاد

• Neural networks
• Computer vision
• Distributed computing
• +۴ مورد دیگر

Prof Jim Austin is a Professor of Neural Computing at the Department of Computer Science, University of York. He is also the CEO of Cybula Ltd., a spin-off company from the University of York established in 2000. His research spans neural networks, computer vision, hardware implementations, and distributed computing systems. Education: BSc in Neurobiology, University of Sussex PhD in Electronic and Electrical Engineering, Brunel University Research Interests: Jim Austin specializes in neural networks, computer vision, and distributed computing. His work includes hardware implementations of neural networks, associative memory systems, parallel processing on large datasets, and applications in cloud computing and biosignal analysis. Article Trends: His recent publications focus on space systems engineering, bio-signal processing, and distributed neural network frameworks. Topics include CubeSat design, low-power biomedical devices, and parallel computing architectures, reflecting his interdisciplinary expertise in computer science and neuroscience. Professional Activities: Jim Austin has contributed to the development of the CARMEN platform for neuroinformatics and conducted applied research in collaboration with industry through Cybula Ltd.

• AI Algorithms
• Neuromorphic Computing
• Low-Power Electronics
• +۷ مورد دیگر

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.

Jin Wei-Kocsisمشاهده پروفایل

دانشیار

• Cyber-Physical-Social Systems
• Blockchain Techniques
• Machine Learning
• +۵ مورد دیگر

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

Jean Anne Incorviaمشاهده پروفایل

دانشیار

• 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.

• Bio-inspired Robotics
• Flapping-Wing Vehicles
• Safety-Critical Nonlinear Control
• +۱۰ مورد دیگر

Nak-seung Patrick Hyun is an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University, located in West Lafayette. His office is MSEE 274, and his contact information includes the email nhyun@purdue.edu and a personal webpage at http://www.nphyun.com/. Hyun holds degrees from Korea University (B.S., Electrical Engineering, 2009) and the Georgia Institute of Technology (M.S. in Mathematics and M.S./Ph.D. in Electrical and Computer Engineering, completed in 2013 and 2018, respectively). His research focuses on a cyclic learning approach integrating biology, mathematical system theory, and robotics, with a primary emphasis on Control Theoretic Bio-Inspired Robotics. Key areas include flapping-wing vehicles, safety-critical nonlinear control, adaptive control, and impulsive systems. His work also addresses contraction theory, geometric control, optimal motion planning, and swarm robotics. Hyun's publications span topics such as insect-inspired aerial microrobotics, network control of robotic systems, and ultrafast actuators. Recent work emphasizes applications in soft robotics, microfluidic control systems, and biomimetic design. Despite his prolific output, no scientific awards are explicitly mentioned in the provided text. His research also intersects with automatic controls, communications, and signal processing, reflecting a broad interdisciplinary approach to robotics and control systems engineering. Hyun’s contributions include hardware-in-the-loop testing methodologies for flying microrobots and optimization of ultrafast systems inspired by biological mechanisms.

Cunjiang Yuمشاهده پروفایل

استاد

• Neuroprosthetics
• Materials Science
• Bioengineering
• +۳ مورد دیگر

Cunjiang Yu is a Founder Professor at the University of Illinois Urbana-Champaign (UIUC), affiliated with multiple departments including Electrical and Computer Engineering, Mechanical Science and Engineering, Materials Science and Engineering, and Bioengineering. He holds a part-time faculty position at the Beckman Institute for Science and Technology. His research focuses on soft electronics, bio-integrated devices, and neuromorphic systems. He earned his Ph.D. in Mechanical Engineering from Arizona State University (2010) and holds M.S. and B.S. degrees from Southeast University, China. Yu is a founding editor of Soft Science and serves on editorial boards of journals like Bioactive Materials and IEEE Transactions on Nanotechnology . His work integrates materials science, engineering, and biology to develop innovative solutions for healthcare and neuroprosthetics. Educations: Ph.D., Mechanical Engineering, Arizona State University, USA (2010) M.S., Electronic Engineering, Southeast University, China (2007) B.S., Mechanical Engineering, Southeast University, China (2004) Research Interests: Neuroprosthetics and neuromorphic engineering Soft, stretchable, and biocompatible electronics Biodegradable and implantable medical devices Materials science for biomedical applications Affiliations: Beckman Institute for Advanced Science and Technology (Part-time) Materials Research Laboratory Nick Holonyak Micro and Nanotechnology Laboratory Yu’s lab designs cutting-edge devices such as bio-optoelectronic stimulators, stretchable neural interfaces, and flexible health monitoring systems. His contributions bridge gaps between fundamental materials research and translational medical technologies.

• Nanotechnology
• Materials Engineering
• Physical Chemistry
• +۳ مورد دیگر

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

• Analog and RF Circuits
• Wireless Communication Systems
• Biomedical Engineering
• +۳ مورد دیگر

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

• Bio-behavioral modeling
• Wearables and Mobile Sensing
• Mental health applications
• +۴ مورد دیگر

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.

Ashutosh Sabharwalمشاهده پروفایل

استاد

• Wireless Networks
• Information Theory
• Multiple Antenna Systems
• +۷ مورد دیگر

Ashutosh Sabharwal is the Ernest Dell Butcher Professor of Engineering and Chair of the Department of Electrical and Computer Engineering at Rice University. He leads major research initiatives in wireless communication and healthcare technologies. His wireless work includes the WARP project and NSF-funded RENEW platform for massive MIMO systems. In healthcare, he directs Scalable Health Labs, focusing on bio-behavioral sensing and non-invasive imaging through projects like 'See Below the Skin.' Education: B.Tech (Electrical Engineering) from IIT Delhi (1993), M.S. (1995) and Ph.D. (1999) from The Ohio State University. Research Interests : Wireless networks, information theory, multi-antenna systems, medical imaging, and data-driven healthcare solutions. His work bridges engineering, behavioral science, and medicine to address societal challenges in technology equity and health. Key Projects : RENEW (massive MIMO testbed), Scalable Health Labs (bio-imaging and sensing), and multi-university initiatives like PATHS-UP for underserved populations. Over 125 global research groups use his WARP platform. Awards : ACM Sigmobile Test-of-time Award (2021), IEEE Fellow (2014), and multiple NIH/NSF grants. Leadership : Former Chair of ECE Corporate Affiliates, Director of Rice's Center for Multimedia Communication. Industry Impact : Spun off four companies in wireless and healthcare sectors. Labs & Teams : Directs Rice Wireless, Scalable Health Labs, and collaborates across disciplines in the ARL-Rice Center for Advanced Materials & Networks.

Kirstin Hagelskjaer Petersenمشاهده پروفایل

استادیار

• Swarm Robotics
• Collective Robotics
• Soft Robotics
• +۷ مورد دیگر

Kirstin Hagelskjaer Petersen is an Assistant Professor in the Department of Electrical and Computer Engineering at Cornell University, where she leads research in bio-inspired robotics and swarm intelligence. Her work focuses on leveraging natural swarm principles to develop error-tolerant autonomous robot collectives through integrated hardware-software design and environmental interaction. Her academic journey includes: B.S. in Electro-technical Engineering from Odense University College of Engineering (2006) M.S. in Computer Systems Engineering from the University of Southern Denmark (2008) Ph.D. in Computer Science from Harvard University (2014) Postdoctoral fellowship at the Max Planck Institute for Intelligent Systems (2014-2016) Dr. Petersen's research spans collective robotic construction, human-swarm interaction, soft robot collectives, and bio-hybrid systems. She investigates how biological swarm behaviors in ants, bees, and termites can inform scalable robotic autonomy, emphasizing physical embodiment and environmental integration. Her work bridges robotics, biology, and materials science to create resilient collective systems. Recent publications reveal a strong trajectory in bio-inspired robotics, with significant contributions to swarm construction algorithms (2014 Science paper ranked #4 in Science Magazine's Top 10 Achievements), soft actuator development (2016), and honeybee architectural studies (2021). The research demonstrates consistent innovation at the intersection of biological observation and robotic implementation. Her distinguished honors include: Packard Fellowship for Science and Engineering (2019) Douglas Whitney ’61 Excellence in Teaching Award (2022) Elisabeth Schiemann Kolleg Fellowship (2016) Max Planck Postdoctoral Fellowship (2014-2016) Science Magazine's Top 10 Scientific Achievement recognition (2014) As director of the Collective Embodied Intelligence Lab, Dr. Petersen develops novel robotic platforms including the ShadowSense technology for touch detection in soft robots, supported by the National Science Foundation’s National Robotic Initiative. Her lab emphasizes practical applications in emergency response robotics and human-robot collaboration, with recent work demonstrating cost-effective solutions for physical interaction through shadow imaging and deformable materials.

Anuradhi Welhengeمشاهده پروفایل

مدرس

• Biomedical Engineering
• Telecommunications
• Fog Computing
• +۳ مورد دیگر

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.