جست‌وجوی استاد و پژوهشگر

Omprakash Gnawaliمشاهده پروفایل

دانشیار

• Internet of Things
• Smart Devices
• Wireless Sensor Networks
• +۳ مورد دیگر

Omprakash Gnawali is an Associate Professor in the Department of Computer Science at the University of Houston, with expertise in Internet of Things, wireless sensor networks, and artificial intelligence. His research focuses on advanced networking protocols, mobility analysis, and safety monitoring systems. Postdoctoral work at Stanford University PhD in Computer Science from University of Southern California Masters and Bachelors from Massachusetts Institute of Technology His research interests include Ultra-Wideband (UWB) localization, network protocol design, edge computing for monitoring systems, and mobile sensor networks. He leads the Networked Systems Laboratory , where he develops frameworks like the Collection Tree Protocol and CodeDrip for efficient data dissemination. Recent publications highlight trends in UWB-based safety monitoring, routing optimization in dual-radio networks, and deception detection in cybersecurity. He has secured NSF Student Travel Grants for ACM SenSys conferences in 2016 and 2017. Scientific Awards NSF Student Travel Grant (2017) NSF Student Travel Grant (2016) He actively mentors students in research projects and teaches courses such as Research Methods in Computer Science and Computer Networks . His service roles include Technical Program Committee memberships and chairing the TinyOS Network Protocol Working Group.

Changsheng Wuمشاهده پروفایل

استاد

• Wireless Bioelectronics
• Energy Harvesting
• Advanced Manufacturing
• +۴ مورد دیگر

Dr. Changsheng Wu is a Professor at the National University of Singapore (NUS), leading the Lab for Intelligent Sensing, Harvesting and Actuation (LISHA). He holds a Bachelor's from NUS and a PhD from Georgia Tech, with postdoctoral research at Northwestern University. His work focuses on wireless wearables, bioelectronics, energy harvesting, and advanced manufacturing for sustainable solutions. Education: Bachelor in Engineering Science (First Class Honours), NUS PhD in Materials Science and Engineering, Georgia Institute of Technology Postdoctoral Research, Querrey Simpson Institute for Bioelectronics, Northwestern University Research Interests: Wireless bioelectronics for clinical health monitoring Energy harvesting via nanogenerators Soft skin-electronics interfaces using metastructures Programmable materials for adaptive systems Advanced manufacturing techniques for wearable devices Key Achievements: Over 50 publications and 5 patents Recipient of TechConnect 2018 Innovation Award and 56th R&D 100 Award Developed wireless implantable sensors for tissue monitoring and bioresorbable medical devices Teaching: MLE5220: Finite Element Method in Materials MLE5238: Bioelectronics Laboratory: His LISHA lab pioneers innovations in self-powered systems, wearable health monitoring, and biohybrid robots. Current projects include metamaterial-based sensors and sustainable energy conversion materials.

Md Noor-A-Rahimمشاهده پروفایل

استادیار

• Intelligent Transportation Systems
• Machine Learning
• Internet of Things
• +۴ مورد دیگر

Dr. Md Noor-A-Rahim is an Assistant Professor (Lecturer-Above the Bar) at the School of Computer Science and Information Technology, University College Cork (Ireland). He previously served as a Senior Researcher and Marie Curie Fellow at the same institution. His academic journey includes a PhD from the University of South Australia (2015) and the prestigious Michael Miller Medal for his outstanding thesis on wireless communication systems. His research focuses on Intelligent Transportation Systems, Machine Learning, IoT, Wireless Networks, and DNA-based data storage. He has published extensively on topics like 6G-V2X systems, time-sensitive networking, and error characterization in DNA storage. His work integrates cutting-edge technologies such as intelligent reflecting surfaces (IRS), federated learning, and ultra-reliable low-latency communication (URLLC). Research Interests : Dr. Rahim's research bridges theoretical advancements and real-world applications in vehicular networks, smart manufacturing, and next-generation communication systems. He explores challenges in autonomous driving, edge computing, and bio-constrained data storage. His contributions include novel coding schemes for anytime transmission and frameworks for mitigating big vehicle shadowing in V2X communications. Key Publications : His recent work includes a comprehensive survey on wireless TSN (2025), analysis of 6G-V2X systems (2022), and breakthrough studies on DNA data storage error modeling (2023). These publications highlight his expertise in both foundational research and industry-relevant solutions. Awards : Recipient of the Michael Miller Medal (2015) for doctoral research excellence. Grants & Labs : While specific grants are not listed in the text, his research portfolio suggests involvement in collaborative projects with industry partners and funding bodies. He leads interdisciplinary efforts in smart manufacturing and vehicular communication systems.

Shad Roundyمشاهده پروفایل

دانشیار

• Energy Harvesting
• Wireless Power Transfer
• MEMS
• +۵ مورد دیگر

Shad Roundy is an Associate Professor at the University of Utah , holding dual appointments in the Department of Mechanical Engineering and Department of Electrical and Computer Engineering within the College of Engineering . He directs the Integrated Self-Powered Sensing Lab , focusing on energy harvesting, wireless power transfer, and ubiquitous sensing systems. PhD in Mechanical Engineering, University of California, Berkeley (2003) Senior Lecturer, Australian National University (postdoctoral) His research bridges mechanical design , smart materials , and sensor networks , with significant contributions to: Self-powered biomedical implants Wearable health-monitoring devices Underground agricultural sensor networks MEMS sensor development His 15 most recent publications demonstrate interdisciplinary work spanning wireless power transfer for soil sensors, flexoelectric materials, and disease severity assessment via wearables. Articles emphasize energy efficiency , novel transducer designs , and environmental sensor applications . Scientific recognition includes: NSF CAREER Award for magnetoelectric implant powering Associate Editor, Smart Materials and Structures and International Journal of Precision Engineering and Manufacturing-Green Technology Research funded by National Science Foundation , NASA , and industry partners through the ASSIST Engineering Research Center . Publications highlight collaborations across biomedical, agricultural, and wearable technology domains.

• Advanced Materials
• Energy Storage
• Aerospace Engineering
• +۷ مورد دیگر

Prof. Alan Kin-tak Lau is an Adjunct Professor in the Department of Mechanical Engineering & Product Design at Swinburne University of Technology. He previously served as Pro Vice-Chancellor (International and Digital Research), overseeing global research collaborations and digital innovation. His expertise spans advanced materials, manufacturing, and product design, with a focus on aerospace applications, energy storage, and sustainable technologies. Lau holds adjunct roles at Chonbuk National University and is a Fellow of multiple prestigious institutions, including the European Academy of Sciences and the Royal Aeronautical Society. Affiliations: Swinburne University of Technology Roles: Adjunct Professor, Former Pro Vice-Chancellor Research interests include nanomaterials for energy storage (e.g., supercapacitors, hydrogen systems), composite materials for aerospace, and eco-friendly manufacturing. He leads interdisciplinary projects like the Aerostructures Innovation Research Hub and the Research Centre for New Energy Transition. Lau has secured over AUD 100M in grants and supervised numerous PhD projects on topics like graphene composites and additive manufacturing. Notable awards include the VEBLEO Best Scientist Award (2020), UGC Teaching Excellence Award (2013), and the Young Engineer of the Year Award (2004). He chairs international conferences and serves on boards of companies like King’s Flair International. His work bridges academia and industry, with patents and commercial applications in sustainable materials and EV technologies.

Nelson Sepulveda Alancastroمشاهده پروفایل

استاد

• Micro and Nanoscale Sensors/Actuators
• Smart Materials
• Multifunctional Materials
• +۴ مورد دیگر

Nelson Sepulveda Alancastro is a Professor and Interim Chairperson of Electrical and Computer Engineering (ECE) at Michigan State University's College of Engineering, with a joint appointment in Mechanical Engineering (ME). He holds a Ph.D. (2005) and M.S. (2002) from Michigan State University, and a B.S. (2001) from the University of Puerto Rico-Mayaguez. His research integrates micro/nano sensors, smart materials, and energy harvesting, with applications in biomedical devices, environmental monitoring, and MEMS. Research Focus: Dr. Sepulveda's work centers on ferroelectret nanogenerators, vanadium dioxide-based reconfigurable devices, flexible sensors, and machine learning for sensor data analysis. His lab develops self-powered systems for biomechanical monitoring, invasive species detection, and concussion prediction. Awards and Honors: MSU Withrow Teaching Excellence Award (2018) MSU Withrow Diversity Excellence Award (2018) Michigan State University Teacher-Scholar Award (2015) NSF Career Award (2010-2015) IEEE Senior Member (2011) Students and Team: He advises Ph.D. candidates including Ian González-Afanador, Gerardo Morales-Torres, and Henry Dsouza. His Advanced Microsystems Group (AMG) focuses on interdisciplinary projects spanning materials science, MEMS, and embedded systems.

• Telecommunication Networks
• Distributed Machine Learning
• Edge Computing
• +۵ مورد دیگر

Falko Dressler is a Full Professor and Chair for Telecommunication Networks at the School of Electrical Engineering and Computer Science, Technische Universität Berlin. He holds a Ph.D. and M.Sc. in Computer Science from Friedrich-Alexander University of Erlangen-Nuremberg (1998-2003). His research focuses on next-generation wireless systems , distributed machine learning , edge computing , and applications in Internet of Things (IoT) , cyber-physical systems , and internet of bio-nano-things . Editorial roles: IEEE Trans. on Mobile Computing, Elsevier Computer Communications, IEEE/ACM Trans. on Networking Conference leadership: IEEE INFOCOM, ACM MobiSys, IEEE VNC Textbooks: Self-Organization in Sensor and Actor Networks (Wiley), Vehicular Networking (Cambridge) Recent publications highlight trends in Edge Computing Resilience and 6G Network Architecture , with a strong emphasis on Molecular Communication , Terahertz Band Synchronization , and Federated Learning in vehicular environments. Scientific contributions include multiple IEEE Fellow , ACM Fellow , and VDE ITG Prize 2023 recognitions. Advisory and professional activities include membership in the German National Academy of Science and Engineering (acatech), IEEE COMSOC Conference Council, and ACM SIGMOBILE Executive Committee. His work spans cooperative driving, ultra-low power sensor networks, and security in nano-communication systems.

Bharanidharan Shanmugamمشاهده پروفایل

دانشیار

• IoT Security
• Cyber Risk Management
• Network Security
• +۳ مورد دیگر

Dr. Bharanidharan Shanmugam is an Associate Professor in Information Technology at Charles Darwin University's Faculty of Science and Technology. He specializes in cybersecurity, IoT security, and cyber risk management in microgrids. His research focuses on addressing real-world challenges in IoT, smart grids, and medical devices to enhance community impact. **Research Interests:** - IoT Security - Cyber Risk Assessment in Microgrids - Network and Information Security - Applied Cybersecurity Solutions - Blockchain and Privacy-Preserving Technologies **Key Projects (2019–2025):** - Cyber Territory Skills Hub (2023–2025) - Renewable Energy Microgrid Hub (2021–2024) - Blockchain-Based Digital Identity (2019–2020) **Publications:** Focuses on IoT security frameworks, intrusion detection systems, and AI-driven cybersecurity solutions. Recent works include studies on smart grid load forecasting, medical IoT threat detection, and water leakage detection using machine learning. **Grants & Supervision:** Principal Investigator on multiple ARC-funded projects. Supervises PhD students in DevSecOps and IoT security. Active in organizing workshops on digital awareness for indigenous communities.

Yong-Bin Kimمشاهده پروفایل

استاد

• Integrated Circuit Design
• Nanoelectronics
• High-Speed System Integration
• +۴ مورد دیگر

Yong-Bin Kim is a Professor in the Department of Electrical and Computer Engineering at Northeastern University, part of the College of Engineering. He has held prior positions at Intel Corp., Hewlett Packard Co., Sun Microsystems, and the University of Utah. His research focuses on integrated circuit design, nanoelectronics, bio-chip interfaces, and low-power VLSI systems. He has contributed to initiatives like the HPVLSI Lab and Microsystems and Electron Devices Lab. Education includes a B.S. in Electronic Engineering from Sogang University (Seoul, South Korea), an M.S. from the New Jersey Institute of Technology, and a Ph.D. in Computer Engineering from Colorado State University (1996). Research interests encompass high-speed low-power VLSI design, system-on-chip (SoC), physical VLSI CAD, and nanoelectronics. Specific areas include bio-sensor interface circuits, electronic neuron design, and adaptive robot controllers. Key projects involve compact power-efficient integrated circuits and high-speed transceiver design. Outstanding Paper Award, 2020 IEEE ISOCC South Korean Patent for Autonomous Impedance Calibration (2021) Best Paper Award, 2016 International SoC Design Conference Patent for Improved Receiver Circuit (2020) Patent for Method to Detect Trojan Circuits (2018) Advisees include graduate student Yixuan He. He has led research projects funded by Winchester Technology and Hynix Semiconductor, focusing on semi-self-calibration transceivers and tunable RF inductors. Labs include the HPVLSI Lab and Microsystems and Electron Devices Lab at Northeastern University, which focus on high-speed/low-power IC design and microfabrication technologies.

Emre Salmanمشاهده پروفایل

استاد

• Integrated Circuits (ICs)
• VLSI Systems
• Energy-Efficient Computing
• +۵ مورد دیگر

Emre Salman is a Professor in the Department of Electrical and Computer Engineering at Stony Brook University (SUNY), where he directs the Nanoscale Circuits and Systems (NanoCAS) Lab. His research focuses on nanoscale IC design, energy-efficient computing, and biomedical electronics, with notable contributions to 3D integrated circuits and wireless energy harvesting for IoT and healthcare applications. Education : PhD in Electrical Engineering, University of Rochester (2009) MSc in Electrical and Computer Engineering, University of Rochester (2006) BSc in Microelectronics Engineering, Sabanci University, Turkey (2004) Research Interests : Salman’s work spans energy-efficient integrated circuits, secure IoT systems, and implantable medical devices. He pioneers techniques like charge-recycling logic and thermal-aware design for post-Moore computing. His group develops monolithic 3D ICs to address power/thermal challenges in AI accelerators and biomedical implants. Articles Trends : Recent publications highlight advancements in triboelectric energy harvesters for knee implants, thermal covert channel mitigation in 3D processors, and energy-efficient DNN accelerators. He emphasizes sustainability and security in emerging technologies like ReRAM-based computing and AC circuits for wireless IoT. Awards : 2023-2024 IEEE Distinguished Lecturer 2018 IEEE Region 1 Technological Innovation Award 2013 NSF CAREER Award Advising & Grants : Salman has directed multiple NSF, NIH, and industry-funded projects. He advises students on topics like hardware security and biomedical electronics, with a focus on translating research into commercializable technologies. Labs & Teams : The NanoCAS Lab collaborates with Brookhaven National Lab and industry partners (e.g., AMD, Samsung) to bridge academic research with real-world applications in energy-efficient computing and secure 3D ICs.

Farshad Moradiمشاهده پروفایل

استاد

• Neuromorphic Computing
• Spintronics
• Biomedical Engineering
• +۵ مورد دیگر

Farshad Moradi is a Professor at the Department of Electrical and Computer Engineering at Aarhus University, specializing in neuromorphic engineering, spintronics, and biomedical device design. His work focuses on integrating advanced materials and circuits for applications in neural interfaces, energy-efficient computing, and wireless biomedical systems. Research Interests include: Spintronic-based neuromorphic computing architectures Ultra-low power analog/mixed-signal integrated circuits Ultrasonically powered implantable medical devices Neural signal processing and seizure detection systems Wireless energy transfer and structural health monitoring Key Projects (2016-2026): SPICE: Spintronic-Photonic Integrated Circuit Platform PHOTON-NeuroCom: Photonic-assisted Neuromorphic Computing Neuro-Sense: Flexible bioinspired neuroprostheses CorroSense: Self-powered corrosion monitoring HERMES: Hybrid Enhanced Regenerative Medicine Systems Recent innovations include: Ultrasonically powered optogenetic implants Low-power neural amplifiers for deep-brain interfaces Spin-torque nano-oscillator-based neuromorphic hardware Energy harvesting systems for structural monitoring

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

Sunday Ekpoمشاهده پروفایل

مدرس ارشد

• Communication Systems Engineering
• Satellite Systems Engineering
• RF and Microwave Engineering
• +۷ مورد دیگر

Dr. Sunday Ekpo is a Senior Lecturer in Electrical & Electronic Engineering at Manchester Metropolitan University (MMU), UK. He holds multiple advanced qualifications, including a PhD in Electrical & Electronic Engineering and certifications such as Chartered Engineer (CEng) and Senior Fellow of the Higher Education Academy (SFHEA). His research focuses on Communication and Space Systems Engineering, with expertise in 5G/6G networks, satellite-cellular convergence, RF engineering, and IoT applications. He leads projects on energy-efficient wireless systems, additive manufacturing for electronics, and smart sensor development. Education: BEng (Hons) in Electrical & Electronic Engineering MSc in Communication Engineering MA in Higher Education PhD in Electrical & Electronic Engineering Research Interests: RF and microwave transceiver design Satellite communication subsystems Energy harvesting for IoT AI-driven signal processing Smart sensor systems Awards: Best Paper Award (2023) Best Overall Powerhours (British Council) Huawei’s Influential Thinkers Award (2019) Grants & Projects: £1.3m+ external grants secured Lead on Sony-funded Spresense-managed drone connectivity projects SmOp Cleantech collaborations on green wireless systems UK Space Agency and 6G policy advisory roles Labs & Teams: Leads the Advanced Electronic Design, Communication and Space Systems Engineering teams, and chairs international conferences like the Adaptive and Sustainable Science, Engineering and Technology (ASSET) series.

Jia Diمشاهده پروفایل

استاد

• Asynchronous Integrated Circuit Design
• Hardware Security
• Extreme Environment Electronics
• +۳ مورد دیگر

Jia Di serves as Professor and Department Head of the Department of Electrical Engineering and Computer Science at the University of Arkansas, holding the Rodger S. Kline Endowed Leadership Chair. He has been with the institution since 2004, progressing from Assistant Professor to his current leadership position within the College of Engineering. Education: B.S. in Automatic Control, Tsinghua University (1997) M.S. in Automatic Control, Tsinghua University (2000) Ph.D. in Electrical and Computer Engineering, University of Central Florida (2004) Research Focus: Dr. Di's work centers on asynchronous integrated circuit design and hardware security , with emphasis on Multi-threshold Null Convention Logic (MTNCL) for ultra-low-power secure systems. His research spans hardware Trojan detection, polymorphic logic gates, extreme environment electronics, and security solutions for IoT infrastructure. His Trustable Logic Circuit Design Lab has pioneered techniques for side-channel attack mitigation and cold boot attack prevention through self-destructive memory mechanisms. Publication Trends: Recent publications reveal a strategic shift toward hardware security applications for renewable energy systems and IoT edge devices, while maintaining core expertise in asynchronous circuit design. His work increasingly integrates machine learning (e.g., graph neural networks for hardware Trojan detection) and cross-platform verification frameworks, demonstrating evolution from pure circuit design to holistic cybersecurity solutions for critical infrastructure. Scientific Recognition: Senior Member of IEEE Eminent Member of Tau Beta Pi Elected Member of the National Academy of Inventors Research Leadership: Dr. Di has secured over $23 million in research funding for his Trustable Logic Circuit Design Lab, supporting development of 6 U.S. patents and two authoritative books. His lab collaborates with federal agencies and industry partners on hardware security challenges, with recent grants focusing on photovoltaic system protection and extreme-environment electronics. While specific student names aren't documented here, his extensive publication record indicates significant graduate mentorship in hardware security and asynchronous design. Lab Infrastructure: The Trustable Logic Circuit Design Lab maintains specialized capabilities for testing circuits in extreme environments (high temperature/radiation) and developing polymorphic security mechanisms. Current projects include RF aperture security, hardware-based IoT verification systems, and digital twin implementations for power electronics with integrated trust verification.

Labros Bisdounisمشاهده پروفایل

استاد

• CMOS Circuit Design
• Low-Power Electronics
• Embedded Systems
• +۴ مورد دیگر

Labros Bisdounis is a Professor at the Department of Electrical and Computer Engineering, University of the Peloponnese, Greece. He previously held positions at the Technological Educational Institute of Western Greece, including Associate Professor, Full Professor, and Dean of the School of Technological Applications (2016–2018). He has extensive industry experience as a senior research engineer and project manager at Intracom S.A. (2000–2008), focusing on VLSI circuits and telecom applications. His research interests include CMOS circuit timing/power modeling, low-power/high-speed design, MOSFET modeling, and sensor applications. He has authored over 30 papers with 740+ citations and is an IEEE member. Education: Diploma in Electrical Engineering (1992), University of Patras Ph.D. in Electrical Engineering (1999), University of Patras Research Interests: CMOS circuit timing and power dissipation modeling Deep-submicron/nano-CMOS circuit design MOSFET device modeling Low-power embedded systems and SoC Sensor applications and organic electronics Leadership Roles: Dean of the School of Engineering, University of the Peloponnese (2023–present) Director of Training & Lifelong Learning Centre (2019–2019) Board Member, Hellenic NARIC (2016–2019) Collaborations: Active at the Hellenic Open University as a tutor in Computer Architecture and Digital Systems modules. Co-developed the AETHER framework for pervasive computing and contributed to energy-aware SoC designs for 5 GHz WLANs.