جست‌وجوی استاد و پژوهشگر

Ramtin Zandمشاهده پروفایل

استادیار

• Hardware Design for Machine Learning Systems
• Neuromorphic Computing
• Emerging Nanoscale Electronics
• +۷ مورد دیگر

Ramtin Zand is an Assistant Professor in the Department of Computer Science and Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. His research focuses on hardware design for machine learning systems, neuromorphic computing, emerging nanoscale electronics (e.g., spintronic devices), and energy-efficient VLSI circuits. He leads the ICAS Lab, which explores reconfigurable architectures and low-power computing solutions. Education: Ph.D., Computer Engineering, University of Central Florida (2019) M.S., Electrical Engineering, Sharif University of Technology (2012) Research Interests: Dr. Zand’s work spans hardware-software co-design for AI, neuromorphic systems, and novel devices like MRAM and memristors. He emphasizes practical applications such as manufacturing anomaly detection, edge computing, and energy-efficient neural network deployment. Recent Trends in Articles: His publications emphasize hybrid PIM architectures, LLM-driven hardware design, and neuromorphic edge systems. Themes include optimizing communication efficiency, leveraging memristive crossbars, and bridging vision transformers with embedded platforms. Grants/Funding: Funded by AFRL for smart manufacturing projects ONR grants for perception systems research NSF support for in-memory computing Labs/Teams: The ICAS Lab collaborates on projects such as neuromorphic accelerators and low-power sensor systems. Recent milestones include DAC 2025 awards and CVPR 2025 demonstrations.

Monirosadat Sadatiمشاهده پروفایل

استادیار

• Soft Materials Engineering
• Active Matter Systems
• Additive Manufacturing
• +۵ مورد دیگر

Monirosadat (Sanaz) Sadati is an Assistant Professor in the Department of Chemical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. She holds an affiliate faculty position in Biomedical Engineering. Her research focuses on soft materials engineering, with emphasis on active matter systems and additive manufacturing. She received her PhD in Materials Science from ETH Zurich (2012), followed by postdoctoral training at Harvard University (2012–2014) and the University of Chicago (2014–2018). Research Themes: Active Matter: Designing autonomous micromachines for drug delivery and environmental remediation in complex environments. Additive Manufacturing: Developing in-situ characterization techniques for 3D printing of soft materials with tailored properties for tissue engineering and responsive systems. Key Contributions: Her work integrates experimental and computational approaches to study liquid crystal self-assembly, chiral nanostructures, and responsive materials. Recent efforts include blue phase stabilization under confinement and MXene-based hybrid materials for energy applications. Awards: Swiss National Science Foundation Prospective Researchers Award (2012) Swiss National Science Foundation Advanced Postdoc. Mobility Award (2013) Lab Focus: The Sadati Lab explores structure-property relationships in soft matter systems using advanced fabrication techniques. Current projects address challenges in programmable materials, biohybrid constructs, and energy storage solutions.

Poras T. Balsaraمشاهده پروفایل

استاد

• Power Electronics
• Energy Efficient Circuits and Systems
• VLSI Design
• +۵ مورد دیگر

Poras T. Balsara is a Professor and Vice Dean in the Electrical and Computer Engineering Department at the Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas. His research focuses on power electronics, energy-efficient circuits, VLSI design, and renewable energy systems. He co-directs the Renewable Energy and Vehicular Technology (REVT) and Integrated Design, Engineering, and Algorithmics (IDEA) labs. Balsara holds an IEEE Fellowship and has authored over 200 publications in top-tier journals and conferences. Education: Ph.D. in Electrical Engineering, Penn State University, 1989 M.S. in Electrical Engineering, Penn State University, 1985 B.E. (Electrical) with distinction, University of Bombay, India, 1983 L.E.E. (Electronics), Victoria Jubilee Technical Institute, India, 1980 Research Highlights: Balsara's work spans power electronics, wireless charging systems, and energy-efficient architectures. Notable contributions include breakthroughs in dynamic wireless power transfer (DWPT) for electric vehicles, high-efficiency DC-DC converters, and digital control systems for renewable energy integration. His labs pioneer innovations in smart energy systems and VLSI design. Awards & Recognition: IEEE Fellow (2011) Member of Phi Kappa Phi and Tau Beta Pi honor societies Advising & Grants: Balsara has advised over 50 graduate students, many of whom have contributed to impactful research in power systems and VLSI. His funding includes grants from NSF, industry partnerships, and a startup (Cirasys Corporation) spun off from his research. Labs & Teams: REVT Lab: Focuses on vehicular technologies and renewable energy systems. IDEA Lab: Develops advanced computational and algorithmic solutions for engineering challenges.

Dinesh K Bhatiaمشاهده پروفایل

استاد

• Reconfigurable Computing
• Medical Devices and Systems
• Power Conversion Methods
• +۴ مورد دیگر

**Dinesh K. Bhatia** is a **Professor and Department Head** of Electrical and Computer Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds joint professorships in Computer Science and Bioengineering. His research focuses on **Reconfigurable Computing**, **Medical Devices**, and **Domain-Specific Architectures for AI/High-Performance Computing**. Dr. Bhatia leads the **IDEA Lab**, pioneering advancements in FPGA-based systems, power conversion, and healthcare technologies. Notably, he co-founded **Cirasys Corporation**, a startup funded by NSF and Texas Emerging Technology Fund, commercializing breakthroughs in power electronics. **Education**: PhD (1990), M.S. (1987), and B.E. (1985) in Electrical Engineering from UTD and NIT Suratkal, India. **Research Interests**: Reconfigurable computing, medical electronics (e.g., wearable sensors for sleep apnea, bladder monitoring), AI-driven medical systems, and energy-efficient embedded systems. He has led projects like **REACT** (DARPA-funded adaptive computing) and **RACE** (reconfigurable hardware-software environments). **Awards**: IEEE CAS Society Distinguished Lecturer (2007–2008), Senior Member of IEEE/ACM, Fellow of Phi Kappa Phi. His work spans over 100 peer-reviewed publications and 15+ patents. **Grants & Funding**: NSF, UT System, Texas Emerging Technology Fund, and AFRL grants. He has advised numerous graduate students and led initiatives in graduate education and industry partnerships. **Labs/Teams**: IDEA Lab (core research hub), collaborations with industry (e.g., Texas Instruments) and healthcare institutions (e.g., UT Southwestern).

Kapil R. Dandekarمشاهده پروفایل

استاد

• Wireless Communications
• Antennas
• Software Defined Radio
• +۷ مورد دیگر

Kapil R. Dandekar serves as the Interim Dean of Drexel Engineering and holds the E. Warren Colehower Chair Professorship in the Department of Electrical and Computer Engineering at Drexel University's College of Engineering. He has been a faculty member at Drexel since 2001, contributing significantly to education and research in wireless communications and engineering innovation. His educational background includes a PhD and MS in Electrical and Computer Engineering from the University of Texas at Austin (2001 and 1998, respectively) and a BS in Electrical Engineering from the University of Virginia (1997). PhD, Electrical and Computer Engineering, University of Texas at Austin, 2001 MS, Electrical and Computer Engineering, University of Texas at Austin, 1998 BS, Electrical Engineering, University of Virginia, 1997 Dandekar's research spans wireless communications, antennas, and engineering education with current emphases on reconfigurable intelligent surfaces (RIS), software-defined radio (SDR), functional fabrics, cybersecurity, and IoT applications. His work bridges theoretical innovation and practical implementation, particularly in healthcare-focused wireless sensing and wearable technologies. As an educator, he pioneered hands-on SDR laboratory classes with "Radio Wars" projects and co-founded the EPICS-in-IEEE international service-learning program. Analysis of his 15 most recent publications (2023-2025) reveals strong trends toward AI/ML integration in wireless systems, next-generation RIS applications for signal control, and healthcare-focused wireless sensing. His team increasingly combines millimeter-wave communications with machine learning for interference mitigation while advancing physical layer security and 6G modulation techniques through FPGA implementations. His scientific contributions have been recognized with prestigious awards: 2023: Fellow of the American Institute of Medical and Biological Engineering 2019: College of Engineering Outstanding Innovation Award 2016: Provost’s Award for Outstanding Mid-Career Scholarly Activity 2015: Drexel University College Outstanding Research Award 2013: President’s Award for Civic Engagement 2012: IEEE Meritorious Service Award 2007: Department Research Award Dandekar directs the Drexel Wireless Systems Lab (DWSL), securing major funding from NSF, Army CERDEC, NSA, ONR, FAA, DARPA, and industry partners. His educational leadership includes co-developing SDR curricula and leading Team Dragon Radio (with Dr. Geoffrey Mainland) to 8th place in the DARPA SC2 competition. DWSL's research has yielded commercialized intellectual property, particularly in RFID-based healthcare monitoring and reconfigurable antenna systems. The Drexel Wireless Systems Lab serves as the primary research hub, fostering cross-disciplinary collaborations with the College of Computing and Informatics. Recent projects include wearable DVT prevention devices, RF jamming mitigation systems using machine learning, and functional fabric-based wireless sensors, often developed through student teams competing in national challenges.

• Signal Processing
• Machine Learning
• Compressive Sensing
• +۲ مورد دیگر

Hongbin Li holds the Charles and Rosanna Batchelor Memorial Chair Professorship in the Department of Electrical and Computer Engineering at Stevens Institute of Technology's Charles V. Schaefer, Jr. School of Engineering and Science. Education includes PhD in Electrical Engineering from University of Florida (1999). Research focuses on: Advanced signal processing algorithms Machine learning for RF systems Compressive sensing methodologies Wireless communications architectures Radar and sensor network technologies Recent publications concentrate on automotive radar systems, physical-layer authentication, sub-Nyquist sampling techniques, and intelligent reflecting surface applications. Honors include IEEE Fellow, Provost's Award for Research Excellence, IEEE Jack Neubauer Memorial Award, and fellowships in AAIA and AIIA. His research is funded by DARPA, NSF, ONR, AFOSR, ARO, and other agencies.

Theodore S. Norvellمشاهده پروفایل

دانشیار

• Formal Software Verification
• Concurrent Programming
• Algorithm Animation
• +۲ مورد دیگر

Theodore Norvell is Associate Professor in Electrical and Computer Engineering at Memorial University, specializing in formal verification of software/hardware systems and concurrent programming languages. Holds PhD from University of Toronto and leads research on program correctness and algorithm animation. Co-developed The Teaching Machine for educational visualization. Publications focus on hardware/software codesign, reconfigurable architectures, and automated verification techniques.

• Fluid Antenna Systems
• Reconfigurable Intelligent Surfaces
• Integrated Radio-Sensing
• +۴ مورد دیگر

Dr. Tuan Anh Le is a Senior Lecturer in Design Engineering at Middlesex University's Faculty of Science and Technology, Department of Design Engineering & Mathematics. He holds a B.Eng. and M.Sc. in Electronics and Telecommunications from Hanoi University of Technology, and a Ph.D. from King's College London funded by the UK's EPSRC and Mobile VCE scholarship. His research focuses on developing resource allocation strategies for next-generation wireless networks using convex optimization and nature-inspired intelligence. Key areas include reconfigurable antenna systems, integrated sensing-communications, PHY-layer security, and energy-efficient 5G/6G architectures. Recent publications demonstrate strong focus on beamforming optimization techniques using metaheuristic algorithms (especially Firefly Algorithm), cognitive radio systems, and dual-function radar-communications. Work frequently appears in IEEE Transactions journals and major telecom conferences. Supervises PhD candidates in antenna design and wireless systems. Teaches modules including Digital Signal Processing, System Design, and Mobile Communications. Previously contributed to EU-funded projects on green radio technologies.

Daniel Benzمشاهده پروفایل

مدرس

• Computer Science Education
• Computer Architecture
• Reconfigurable Hardware
• +۲ مورد دیگر

Daniel Benz is a Lecturer in the Department of Computer Science at Stony Brook University. His research focuses on Computer Science Education, Computer Architecture, Reconfigurable Hardware, FPGAs, and Machine Learning. He teaches CSE 220 and is currently pursuing a Ph.D. in Computer Engineering under the supervision of Professors Michael Ferdman and Peter Milder. Education: M.S. in Computer Engineering (Stony Brook University, 2019), B.S. in Computer Engineering and Electrical Engineering (Hofstra University, 2016) Research Interests: Explores pedagogical methods in computer science education, hardware design, FPGA optimization, and machine learning integration with reconfigurable systems.

Youmin Zhangمشاهده پروفایل

استاد

• Fault Diagnosis and Tolerant Control
• Avionics and Flight Control
• UAV Systems and Autonomous Vehicles
• +۵ مورد دیگر

Youmin Zhang is a Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University, affiliated with the Concordia Institute of Aerospace Design & Innovation. His research focuses on advanced control strategies for safety-critical systems, including fault diagnosis, fault-tolerant control, and autonomous vehicle systems. His work spans aerospace, industrial, and mechatronic domains, with applications in UAV navigation, spacecraft formation flying, and real-time environmental monitoring. Research interests include: Fault-tolerant control for safety-critical systems Avionics and flight control systems UAV trajectory planning and swarm coordination Modeling and simulation of physical systems Signal processing for diagnostics Recent publications emphasize resilient control architectures, cybersecurity in autonomous systems, and AI-driven solutions for fault detection in industrial processes. His work bridges theoretical control frameworks with practical applications in aerospace, energy, and environmental systems. He holds an academic position at Concordia’s Sir George Williams and Loyola campuses, and his research contributes to advancing autonomous systems and smart manufacturing technologies.

Tanguy Rissetمشاهده پروفایل

استاد

• Embedded Systems
• Compilation
• High Level Synthesis
• +۳ مورد دیگر

Tanguy Risset is Professor in the Telecommunication Department at Insa-Lyon, specializing in embedded systems, compilation, and software-defined radio. As head of Inria's Socrate project, he coordinates research on cognitive radio networks integrating signal processing, communications, and computer science. His research develops FPGA-based solutions for real-time audio processing and wireless systems, emphasizing compilation techniques for hardware acceleration. Recent publications focus on low-latency audio transmission, spatial sound implementation, and open-source toolchains for FPGA audio DSP.

• Biomedical Image Analysis
• Digital Image and Video Processing
• Dynamically Reconfigurable Architectures
• +۵ مورد دیگر

Pattichis Marios is an Associate Professor in the Department of Electrical and Computer Engineering and Radiology at the University of New Mexico (UNM). He directs the Image and Video Processing and Communications Lab (ivPCL) and serves on the board of the FPGA Mission Assurance Center (FMAC). His research focuses on biomedical image analysis, dynamically reconfigurable architectures, and educational technology for underrepresented student groups. Education: Ph.D. in Computer Engineering (UT Austin, 1998), dual bachelor's degrees in Mathematics and Computer Sciences (UT Austin, 1991). He has taught 15 courses across multiple universities and secured $15.9M in research funding from NSF, AFRL, and NIH. Research areas include CAD systems for medical imaging, explainable AI, and large-scale video analytics in clinical and educational settings. Developed AM-FM representations for image/video features and contributed to solar image analysis methodologies. Awards: EAMBES Fellow (2022), Harrison Faculty Excellence Award (2006), Best Paper Award (AIAI06), Teacher of the Year (UNM ECE). Current projects include the AOLME educational initiative and the DRASTIC adaptive video processing platform. He edits special issues in IEEE journals and Teachers College Record.

D. Brian Larkinsمشاهده پروفایل

دانشیار

• Parallel Computing
• High-Performance Computing (HPC)
• Distributed Systems
• +۵ مورد دیگر

Dr. D. Brian Larkins is an Associate Professor and Chair of the Computer Science department at Rhodes College in Memphis, Tennessee. He specializes in parallel computing, high-performance computing (HPC), and distributed systems. His research focuses on optimizing runtime systems, work stealing algorithms, and leveraging network offload hardware to enhance parallel application performance. He has been recognized with the Clarence Day Award for Outstanding Teaching in 2021, reflecting his dedication to pedagogical innovation in computer science education. Before joining Rhodes College in 2015, Larkins worked at Bell Laboratories and several startups, focusing on network security, machine learning, and video streaming technologies. He holds a B.S., M.S., and Ph.D. in Computer Science and Engineering from The Ohio State University, with a focus on Parallel and Distributed Computing. As the NSF-funded XSEDE Campus Champion at Rhodes, Larkins supports faculty and students in accessing large-scale HPC resources nationwide. He also leads the installation of a 2,112-node HPC cluster in Briggs Hall for institutional research use. His teaching philosophy emphasizes blending theory with practical problem-solving to cultivate analytical thinkers. Key research contributions include frameworks for distributed data structures (e.g., Global Trees), scalable work stealing mechanisms, and GPU acceleration of scientific systems like the Advanced Regional Prediction System (ARPS). His work has been published at top venues such as the International Conference on Parallel Processing (ICPP) and the ACM/IEEE Supercomputing Conference (SC). Larkins has pioneered FPGA integration into computer science curricula and explored cognitive apprenticeship frameworks in robotics education. His current projects aim to repurpose network hardware for efficient distributed computing and dynamic load balancing.

Adrian M. Ionescuمشاهده پروفایل

استاد

• Nanoelectronic devices
• Nanotechnology
• Steep-slope tunnel FETs
• +۷ مورد دیگر

Adrian M. Ionescu is a Full Professor at the Department of Electrical Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL). He directs the Nanoelectronic Devices Laboratory (Nanolab) and contributes to the Doctoral Program in Microsystems and Microelectronics. His research bridges nanoelectronics, quantum computing, and biomedical sensing. B.S./M.S. in Electronics, Politehnica University Bucharest Ph.D. in Microelectronics, Politehnica University Bucharest Ph.D. in Physics of Semiconductor Devices, INPG Grenoble Research spans energy-efficient nanoelectronics , steep-slope switches , quantum computing qubits , edge AI sensors , and lab-on-skin wearable systems . Key projects include ERC Advanced Grant Milli-Tech for millivolt technology, DIGIPREDICT for digital twins in healthcare, and Sinergia NeMO for memristors. Recent publications focus on 2025 VO 2 phase-change devices, 2024 graphene biosensors, and 2023 III-V tunnel FETs. Awards include the 2024 IEEE Cledo Brunetti Award , 2017 IEEE George Smith Award , and IBM Faculty Award (2013) . As EPFL doctoral program director, he has guided 10+ PhD students in biosensing, ferroelectric FETs, and neuromorphic systems.

Vanessa Smetمشاهده پروفایل

استادیار

• Micro and Nano Engineering
• Electronics Packaging
• Thermal Management
• +۳ مورد دیگر

Vanessa Smet is an Assistant Professor at the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology . Her research focuses on Micro and Nano Engineering , Electronics Packaging , and Thermal Management , with particular emphasis on advanced materials design for high-performance computing and power electronics applications. Her work spans topics such as nanoporous copper interconnections, low-CTE composites, and Bayesian-optimized package architectures. Key innovations include socketable BGA interconnections, Cu-pillar interconnect reliability, and integrated cooling solutions for SiC power modules. She has pioneered methods for mitigating thermal stress in glass substrates and improving solder diffusion barriers using polymer layers. Key Contributions: Development of Cu-Graphene composites for thermal management Advances in all-Copper interconnections for chip-to-substrate bonding Machine-learning-driven optimization of power card architectures Her research bridges materials science, mechanical engineering, and electronics packaging to address challenges in next-gen semiconductor systems.