جست‌وجوی استاد و پژوهشگر

Ankit Agrawalمشاهده پروفایل

استادیار

• Cyber Physical Systems
• CPS Safety
• Simulation
• +۶ مورد دیگر

Dr. Ankit Agrawal serves as an Assistant Professor in the Department of Computer Science within the College of Arts and Sciences at Saint Louis University. His academic journey includes a Ph.D. in Computer Science from the University of Notre Dame (2022), where he worked under Dr. Jane Cleland-Huang. Prior to his current position, he conducted research on drone surveillance systems and human-machine interfaces for search and rescue operations. Dr. Agrawal's research focuses on the intersection of Software Engineering and Safety-Critical Systems, with particular emphasis on Cyber Physical Systems, CPS Safety, and Simulation. His work bridges theoretical foundations with practical applications in autonomous aerial platforms. Current research areas include Software Validation for testing and verification of cyber-physical systems, Simulation modeling of complex socio-technical systems, Requirements Engineering for safety-critical systems, and Human-Computer Interaction design for complex technical systems. His recent publications demonstrate a strong trend toward integrating AI and simulation technologies for validating autonomous drone systems. Research increasingly focuses on human-drone collaboration in emergency response scenarios, safety validation in realistic environmental conditions, and leveraging large language models for automated testing. The work spans both theoretical frameworks and practical tool development, with emphasis on bridging simulation-to-reality gaps. Honorable Mention at CHI Conference 2024 for HIFuzz: Human Interaction Fuzzing for small Unmanned Aerial Vehicles Best Paper at SPLC Conference 2020 for Requirements-Driven Configuration of Emergency Response Missions with Small Aerial Vehicles Fifth Place in Poster Presentation Award at NASA ImaginAviation 2024 Dr. Agrawal actively mentors graduate and undergraduate students through his UAV Research Lab at Saint Louis University. His lab currently supports multiple Ph.D. and Masters students working on projects including DroneReqValidator, DroneResponse, and React-G. The lab has secured research funding for projects related to drone safety validation and human-autonomy teaming, with collaborations including NASA Langley Research Center. Dr. Agrawal has served on program committees for major conferences including ASE, ICSE, and Requirements Engineering. The UAV Research Lab at Saint Louis University investigates software systems for autonomous aerial platforms, with three primary research thrusts: Software Engineering for Autonomous Systems (developing reliable software architectures and testing frameworks), Human-Autonomy Interaction (designing intuitive interfaces for human oversight), and Intelligent Software Systems (building AI-powered solutions for dynamic environments). The lab maintains active collaborations with NASA and emergency response organizations.

• 3D Integrated Circuits
• Hardware Security
• AI Accelerators
• +۴ مورد دیگر

Krishnendu Chakrabarty is the Fulton Professor of Microelectronics in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU). He also serves as CTO of the SWAP Hub for the Department of Defense Microelectronics Commons and Director of the ASU Center for Semiconductor Microelectronics (ACME). Previously, he was the John Cocke Distinguished Professor and Chair of Electrical and Computer Engineering at Duke University. Education: B.Tech from IIT Kharagpur (1990), M.S.E. and Ph.D. from the University of Michigan (1992, 1995). His research focuses on 3D integrated circuits, hardware security, AI accelerators, and microfluidic biochips. He has authored 27 books, 930 peer-reviewed papers, and holds 24 patents. His work has been supported by NSF, DARPA, NIH, and industry partners like Intel and NVIDIA. Key awards include NSF CAREER Award, IEEE Technical Achievement Awards, Humboldt Research Award, and Distinguished Alumnus from IIT Kharagpur. He advises 44 PhD graduates and collaborates with industry leaders such as Synopsys and Cisco. His leadership roles include Editor-in-Chief of IEEE Transactions and Fellowships in ACM, IEEE, and AAAS. Research highlights include pioneering test methodologies for 3D ICs, developing AI-driven biochip solutions, and securing hardware against cyber-physical threats. His labs and teams focus on advancing semiconductor technology and healthcare applications through interdisciplinary innovation.

Huaming Chenمشاهده پروفایل

مدرس ارشد

• Software Engineering
• AI
• Cybersecurity
• +۳ مورد دیگر

Huaming Chen is a Senior Lecturer at the School of Electrical and Computer Engineering, The University of Sydney (equivalent to Associate Professor in the US system). He specializes in trustworthy AI, software security, and computational biology. His research focuses on integrating AI techniques into software engineering and scientific domains to enhance system reliability and ethical compliance. Currently, he advises PhD and master's students on projects involving AI in intelligent building systems, blockchain-driven governance frameworks, and open-source AI security. He holds roles as Area Chair for ACM MM, PC member for venues like ACM CCS and IJCAI, and Guest Editor for Computers & Security . His service extends to IEEE/ACM memberships and discipline expertise in Software Engineering and Electrical & Computer Systems. Awards include the 2020 IEEE CIS Student Grant and 2017 travel fellowships for bioinformatics and services computing conferences. Research interests span adversarial machine learning, AI ethics, computational biology applications, and secure AI system design. Key contributions include work on federated learning security, adversarial attacks on vision transformers, and privacy-aware STI/HIV risk prediction models. He actively promotes responsible AI through workshops and interdisciplinary collaborations.

• Digital Signal Processing (DSP)
• Field-Programmable Gate Arrays (FPGA)
• Machine Learning Hardware Acceleration
• +۱۳ مورد دیگر

Gian Carlo Cardarilli is a researcher specializing in digital hardware design and machine learning acceleration. His work focuses on FPGA implementations, Residue Number System (RNS) architectures, and reconfigurable computing for applications in wireless communication, edge AI, and fault-tolerant systems. Key collaborations with institutions like IEEE and ACM through publications. Active in translating theoretical algorithms into practical hardware solutions for real-time systems. Research interests include: Optimizing deep learning models for heterogeneous platforms. Developing radiation-hardened memory systems. Creating energy-efficient signal processing architectures. Advancing reconfigurable functional units for embedded processors. His article analyses span fields like Quantum Cellular Automata , Variable Fractional Delay Filters , and RNS-Based Position Estimation , reflecting a trend toward adaptive, low-power, and domain-specific hardware.

• Parallel Computing Systems
• Multi-core Embedded Systems
• System-level Design
• +۵ مورد دیگر

Prof. A.D. Pimentel holds a full professorship at the Informatics Institute of the University of Amsterdam, leading the Parallel Computing Systems (PCS) group within the Systems and Networking Lab. His research focuses on multi-core and multi-processor systems, emphasizing performance, energy efficiency, dependability, and productivity in system design and runtime management. He earned his PhD and MSc in Computer Science from the University of Amsterdam in 1998 and 1993, respectively. Current roles: Chair of PCS group, Board member of Advanced School for Computing and Imaging (ASCI), and ICT Research Platform Nederland (IPN) Teaching: Courses on Multi-core Processor Systems, Embedded Software, and Architecture Research interests span edge AI, sustainable computing, and system-level modeling. Recent work includes innovations in energy-efficient scheduling, thermal management in 3D-stacked systems, and adaptive CNN inference at the edge. Over 25 years of contributions to embedded systems design space exploration and hardware/software co-design have been recognized through awards like the IEEE CEDA Outstanding Service Award (2025). Awards: IEEE DATE Fellow (2025), NWO Knowledge & Innovation Covenant grant lead Active in conference organization, serving as General Chair for Embedded Systems Week (2026) and Design Automation and Test in Europe (DATE 2024). Engages in cross-disciplinary projects like improved secure semiconductor evaluation (ISSE) and energy labeling for digital services.

Aggelos Bletsasمشاهده پروفایل

استاد

• Wireless Communication
• Sensor Networking
• RFID Technology
• +۷ مورد دیگر

Aggelos Bletsas is a Full Professor in the Department of Electrical and Computer Engineering at Rutgers University. Previously, he held academic positions at the Technical University of Crete, where he served as Assistant Professor (2009–2014), Associate Professor (2014–2018), and Full Professor (2018–2024). His research focuses on scalable wireless communication, sensor networks, RFID systems, energy harvesting, and low-power IoT devices. He leads projects on batteryless backscatter sensors for precision agriculture and ambient-powered inference networks. Education: Ph.D. in Media Arts & Sciences (MIT, 2005) M.Sc. in Media Arts & Sciences (MIT, 2001) Diploma in Electrical & Computer Engineering (Aristotle University of Thessaloniki, 1998) Research interests include wireless sensor networks , RFID localization , signal processing for communication , and energy harvesting . His work emphasizes ultra-low-power, low-cost sensors deployable in agriculture and environmental monitoring. Key contributions include commodity-radio-based RFID localization and smartphone-readable backscatter sensors. Honors include IEEE Fellow (202?), IEEE Communications Society Distinguished Lecturer (2022–2024), and multiple best paper awards. His students have won IEEE VTS/AES Greek Chapter Best Thesis Awards (2012, 2013) and ComSoc Student Competition prizes. He serves as Area Editor for IEEE Transactions on Wireless Communications and is a top-2% global scientist per Stanford rankings. Advising and grants: Supervised over 15 students, with notable advisees listed in 'students'. His research has received ERC Starting Grant (A rating) and industry collaborations. Active in IEEE committees and conference organization. Labs and teams: Co-director of WINLAB (Wireless Information Network Laboratory) at Rutgers, focusing on wireless systems and IoT. Collaborates with industry partners on RF energy harvesting and backscatter communication prototypes.

Jens Rettkowskiمشاهده پروفایل

استاد

• Computer Architecture
• Embedded Systems
• Real-Time Systems
• +۳ مورد دیگر

Prof. Jens Rettkowski is a leading academic specializing in advanced computing architectures, particularly focusing on multi-core systems, reconfigurable hardware (FPGAs), and networks-on-chip (NoC). His work bridges theoretical computer architecture with practical applications in embedded systems, real-time processing, and autonomous technologies. Research Interests: Multi-Core Architecture Design and Optimization Networks-on-Chip (NoC) for High-Performance Systems Reconfigurable Computing and FPGA-Based Systems Hardware-Software Co-Design for Embedded Applications Real-Time Systems and Energy Efficiency Sensor Data Fusion and Autonomous Driving Publications reflect a strong focus on optimizing communication and computation in heterogeneous systems, with recent work emphasizing power savings in multi-core architectures and event-based debugging frameworks. His contributions include frameworks like MPSoCSim for simulating reconfigurable systems, and software-defined FPGA approaches for adaptive computing. He has led research in robotics applications for assisted living environments, combining navigation algorithms with real-time sensor processing. His work also addresses security aspects of FPGA configuration and partial bitstream analysis using machine learning.

Tolga Soyataمشاهده پروفایل

دانشیار

• Cyber-Physical Systems
• Digital Health
• FPGA-Based High-Performance Computing
• +۵ مورد دیگر

Tolga Soyata is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University's College of Engineering, specializing in cyber-physical systems, digital health, and high-performance computing. Previously, he served as an Associate Professor at SUNY Albany (2016-2019), Senior Lecturer at Johns Hopkins University (2020), and Assistant Research Professor at the University of Rochester (2008-2016). PhD, Electrical and Computer Engineering, University of Rochester (2000) MS, Electrical and Computer Engineering, Johns Hopkins University (1992) BS, Electrical and Communications Engineering, Istanbul Technical University (1988) His research focuses on cyber-physical systems , digital health applications , and FPGA/GPU-based high-performance computing , with significant contributions in medical cyber physical systems, brain-computer interfaces, and energy harvesting for embedded systems. His work bridges hardware design with healthcare applications and smart city infrastructure. Analysis of his recent publications reveals a strong emphasis on medical applications of cyber-physical systems (30%), smart city infrastructure (25%), energy-efficient computing (20%), and security/privacy frameworks (15%). His work consistently integrates hardware innovation with real-world applications, particularly in healthcare monitoring and urban systems. BEST PAPER AWARD (UEMCON18-BCI) PRESIDENTIAL AWARD FOR UNDERGRADUATE RESEARCH BEST PAPER AWARD (HONET-ICT'15) IEEE Senior Member (2016-present) ACM Senior Member (2016-present) As an advisor, he has mentored 12 PhD students (including 2 who completed degrees under his supervision) and over 25 master's/undergraduate researchers, many of whom received awards for their work. His TTIP directorship at GMU focuses on expanding graduate education in computer engineering through innovative recruitment and bridge programs. His research has been supported by industry partnerships with NVIDIA, Xilinx, and MOSIS. He leads research in medical cyber physical systems and energy-harvesting architectures, with lab facilities supporting FPGA development, GPU programming, and medical sensor integration for digital health applications.

Wei Zhangمشاهده پروفایل

عضو هیئت علمی

• Radiation Dosimetry
• Biomedical Imaging
• Medical Physics
• +۵ مورد دیگر

Wei Zhang is a Research Assistant Professor in the Department of Biomedical Engineering at the University of Michigan. His work focuses on advancing medical imaging technologies for radiation therapy, including ionizing radiation acoustic imaging (iRAI) for real-time dosimetry and treatment guidance. He also explores interdisciplinary areas like wireless power transfer systems and machine learning applications in healthcare. PhD in Biomedical Engineering His research interests include radiation dosimetry, multimodal imaging techniques (e.g., ultrasound and X-ray combinations), and their clinical applications in cancer therapy. He has pioneered the development of iRAI for volumetric dose mapping during radiotherapy, enabling precise treatment monitoring deep within tissues like the liver. Additional interests span driver behavior prediction systems and energy-efficient wireless charging solutions. Dr. Zhang received the BEST IN PHYSICS (THERAPY) Award in 2020 for his work on FLASH radiotherapy dosimetry. His contributions bridge biomedical engineering, physics, and clinical oncology, with a focus on translating innovations into practical clinical tools. He advises on grants related to medical imaging and energy systems, though specific grant details are not listed here. His lab is part of the Biomedical Engineering department’s advanced imaging and therapeutic technologies initiatives.

• Autonomous Vehicles
• Robotics
• Machine Learning
• +۳ مورد دیگر

Dr. Andrew Hill is a researcher at the University of Sydney's School of Aerospace, Mechanical and Mechatronic Engineering and serves as Centre Lead for the Rio Tinto Centre for Mine Automation within the Australian Centre for Field Robotics. With qualifications including a PhD and a BE in Mechatronics, he specializes in autonomous vehicle fleets for industrial applications. Expertise in robotics, machine learning, and transportation optimization Focus on mining automation, agricultural robotics, and environmental sustainability Key contributions to multi-vehicle coordination and sensor calibration His research emphasizes robust planning and control algorithms for autonomous vehicle fleets operating in challenging environments. Recent work explores energy-aware mission planning, radar-based material classification, and dynamic traffic optimization systems. Scientific contributions include: Net Zero Initiative Seed Funding (2022) Pioneering methods for autonomous vehicle slip compensation Innovative approaches to stochastic collection and replenishment optimization Dr. Hill supervises PhD candidates including Isaac Gill, Georgia Markham, and Milan Tomy in projects related to bionic arms, action recognition, and haul-truck dispatch systems. His work bridges theoretical control systems with real-world industrial implementations.

• Electrical Engineering
• Energy Systems Optimization
• Building Energy Efficiency
• +۵ مورد دیگر

Benoit Delinchant is a Professor at Université Grenoble Alpes, affiliated with the National School of Energy, Water and the Environment (Ense3) and the Department of Electrical Engineering and Industrial Computing. He serves as co-head of the MAGE research team (Models, Methods and Methodologies Applied to Electrical Engineering) at G2ELab since 2015 and co-facilitator of the Thematic Group for Complex Systems within GdR SEEDS. His educational leadership includes roles as Director of Studies and co-head of the GREEN thematic program at GS@UGA. Education: 2011: Habilitation to Direct Research (HDR), University of Grenoble 2003: Ph.D. in Electrical Engineering, INP Grenoble 2000: DEA in Electrical Engineering (Master's equivalent), INP Grenoble 2000: Engineering Degree in Electrical Engineering, INP Grenoble His research develops methods for modeling, simulation, and optimization of electrical energy systems, spanning electromagnetic components to multi-energy networks and building efficiency. Key focus areas include: Automatic modeling strategies for energy system design Uncertainty management in complex energy networks Optimization techniques for building-grid interactions Human-in-the-loop control systems His work integrates computational intelligence with practical applications in sustainable urban systems. Recent publications emphasize data-driven approaches to energy flexibility, carbon-aware systems, and hybrid modeling. Dominant themes include machine learning applications for load forecasting, lifecycle assessment methodologies, and experimental validation of demand response strategies. Cross-cutting focus on sustainability links building-scale optimizations with grid-level decarbonization challenges. Scientific Awards: No awards mentioned in source materials. Academic Supervision & Projects: Supervised 19 completed PhD theses and 6 ongoing doctoral candidates Led 4 study engineers, 6 post-docs, and managed 28+ Master's internships Major projects: Singapore NRF CREATE DesCartes (2021-26), PEPR TASE HyMES (2022-27), H2020 COLLECTiEF (2021-25), Grenoble IDEX OTE Observatory (2022-25), ANR COSIMPHI/INTENS/PRECCISION Leads research within G2ELab's MAGE team, collaborating with ENEDIS, EDF, ENGIE, Schneider Electric, CEA, and CSTB. Coordinates international partnerships including Brazil (UFSC) and Vietnam (USTH) for energy transition research.

• Distributed Systems
• Network Coding
• Information Theory
• +۳ مورد دیگر

MALAK Derya is an Assistant Professor at EURECOM's Communication Systems department, specializing in networked distributed computing systems. Her research focuses on optimizing communication and computation trade-offs in networks, with a strong emphasis on network coding, information theory, and wireless communication systems. She holds a dual role in advancing theoretical foundations and practical implementations of distributed computing frameworks. Dr. Malak has received prestigious recognitions, including the Best Paper Awards at WiOpt 2023 and WIOPT 2022 for her work on content distribution optimization and random access protocols. Her research explores cutting-edge topics such as non-linear function computation, structured coding for matrix operations, and congestion-aware job scheduling in real-time systems. Key Research Areas: Distributed Algorithms, Network Coding, Machine Learning Systems, Wireless HetNets, and Multi-Server Architectures Awards: WiOpt 2023 Best Paper, WIOPT 2022 Best Paper Professional Activities: Invited speaker at major conferences and workshops, including the National Center on Networks and Systems for Digital Transformation Her work bridges theoretical insights with practical engineering solutions, addressing critical challenges in modern distributed and networked systems.

Yang Pengمشاهده پروفایل

دانشیار

• Internet of Things
• Edge Computing
• Wireless Sensor Networks
• +۲ مورد دیگر

Yang Peng is an Associate Professor at the University of Washington Bothell , affiliated with the School of Science, Technology, Engineering & Mathematics and the Division of Computing & Software Systems . His research focuses on cyber-physical systems , Internet of Things , and energy-efficient wireless sensor networks . Education: Ph.D. in Computer Science (2014), Iowa State University M.S. in Computer Science (2008), Washington State University B.E. in Electrical Engineering (2006), Beijing University of Posts and Telecommunications Yang Peng’s research spans device, application, and network protocol designs for self-sustainable IoT systems, including RF-powered wireless networks , implantable body area networks , and edge computing architectures . His work addresses energy efficiency, delay guarantees, and cross-interface scheduling in networked systems. Recent publications highlight trends in serverless computing for IoT, VANET-based data transportation , and energy-aware protocol design . He has secured grants from Microsoft Azure , University of Washington Student Technology Fee Fund , and CSS Graduate Research Fund , totaling over $40,000. Scientific Awards: Best Paper Award, IEEE Wireless Communications and Networking Conference (WCNC'15) Yang Peng advises graduate students working on IoT and edge computing projects, with many alumni employed at Amazon , Microsoft , and Nordstrom . He teaches courses like Network Design , Internet of Things , and Embedded Systems , emphasizing practical implementation and research methods.

• Algorithms
• Planning
• Constraints
• +۷ مورد دیگر

Mathijs de Weerdt is a Full Professor at Delft University of Technology, leading the Algorithmics Group within the Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on developing advanced algorithms for planning and scheduling under uncertainty, with applications in energy systems, railway logistics, satellite operations, and agricultural supply chains. He bridges fundamental AI research with practical implementations through collaborations with Dutch National Railways (NS), Shell Recharge, and industry partners. Education: PhD in Multi-Agent Plan Merging (2003), MSc in Computer Science (Utrecht University, cum laude) Research Interests: Robustness in AI, Scalability of Optimization Algorithms, and Multi-Party Coordination His work integrates Stochastic Programming , Reinforcement Learning , and Constraint Programming to address challenges in energy transition and transportation. Recent 15 most recent publications emphasize surrogate modeling for EV charging optimization, multi-agent pathfinding in railways, and dynamic programming for decision trees. Scientific Awards: Recipient of the Erasmus Energy Forum Science Award (2016), Best Teacher Award in Delft Computer Science (2015), and honorable mentions for dissertation and paper awards. As a promotor , he guides over 20 PhD candidates in projects spanning smart grid algorithms, train unit shunting, and strawberry supply chain optimization. He leads large-scale initiatives like the NWO ESI-FAR project and co-chairs the Dutch AI Coalition's Energy & Sustainability working group.

• Embedded Systems Design
• Low-Power Design
• VLSI Architecture for Image Processing
• +۴ مورد دیگر

Pasquale Corsonello is a Professor of Electronics at the Department of Informatics, Modeling, Electronics and System Engineering (DIMES) , University of Calabria. He has held academic positions at the University of Reggio Calabria and the University of Rochester (Adjunct Associate Professor). His career spans over three decades in digital electronics, VLSI design, and low-power systems. Education: Master's in Electronic Engineering, University of Naples “Federico II” (1988) Key Roles: Editor-in-Chief (Journal of Low Power Electronics), Senior Area Editor (IEEE Transactions on Circuits and Systems II), Steering Committee Member (IEEE Transactions on VLSI Systems) Research interests include: Embedded systems and low-power design for IoT VLSI architectures for image processing and neural networks FPGA-based accelerators for real-time applications Quantum-dot cellular automata (QCA) circuits His recent publications focus on energy-efficient FPGA implementations, approximate computing for imaging, and QCA-based arithmetic circuits. He has co-authored over 180 technical articles and holds three patents. Awards : BEST ASSOCIATE EDITOR IEEE CASS AWARD (2016) GOLDEN LEAF Certificate (PRIME 2019) Multiple BEST PAPER AWARDS at ICECS, CENICS, and PRIME Top 25 Downloaded Articles (IEEE Transactions on VLSI Systems) Leadership : Coordinated PhD programs in Information and Communication Technologies Directed research units in projects exceeding €8M in funding Member of editorial boards for IEEE Transactions and Electronics journal He leads the Nanoelectronics and Microsystems research group , which integrates material characterization, IC design, and system-level electronics for applications in power systems and photovoltaics.