جست‌وجوی استاد و پژوهشگر

Michael R. Grimailaمشاهده پروفایل

استاد

• Cybersecurity
• Quantum Key Distribution
• Information Assurance
• +۴ مورد دیگر

Dr. Michael R. Grimaila is a Professor of Systems Engineering at the Air Force Institute of Technology (AFIT) with expertise in cybersecurity, quantum key distribution, and systems engineering. He holds a Ph.D. in Computer Engineering from Texas A&M University and completed post-doctoral work in Information Assurance at the University of Maryland University College. He maintains professional certifications including CISSP and CISM. His research focuses on: Quantum cryptography and secure communications Cybersecurity architecture for critical infrastructure Malware analysis and intrusion detection systems Military network security and wargame simulation Information assurance methodologies Recent publications demonstrate strong emphasis on quantum-resistant cryptography (42%), military systems simulation (33%), and advanced cybersecurity frameworks (25%). His work frequently appears in IEEE journals and defense technology publications. Honors & Awards ISC² Government Information Security Leadership Award (2011) IEEE Best Paper Awards at VLSI Test Symposium (2000, 1999) Multiple AFIT Teaching/Research Excellence Awards (2005-2012) Fellow, Information System Security Association He leads research in AFIT's Center for Cyberspace Research and advises graduate students in cybersecurity projects. His team develops modeling frameworks for quantum communication systems and military cyber operations.

Ulrich Brennerمشاهده پروفایل

پژوهشگر

• Combinatorial Optimization
• VLSI Placement
• Logic Optimization
• +۳ مورد دیگر

Dr. Ulrich Brenner is a researcher at the Research Institute for Discrete Mathematics at the University of Bonn. His work focuses on combinatorial optimization and its applications in VLSI design, particularly in placement and logic optimization algorithms. University of Bonn Research Institute for Discrete Mathematics Research interests: Combinatorial Optimization VLSI Placement Logic Optimization Publications span two decades, with significant contributions in delay optimization , soft rectangle packing , and transportation algorithms . Recent work includes advancements in AND-OR path restructuring (2022) and soft packing ratios (2024). Teaching materials include courses on linear optimization, combinatorics, and C++ programming. He has developed frameworks like BonnPlace and BonnLogic for industrial VLSI design applications.

• VLSI Design
• Computer-Aided Design
• Analog Circuitry
• +۲ مورد دیگر

Faik Başkaya is an Assistant Professor in Electrical and Electronics Engineering at Boğaziçi University. His research focuses on integrated circuit design methodologies spanning analog/digital VLSI systems, CAD tools for circuit optimization, and rapid prototyping techniques. Technical interests include hardware acceleration, low-power circuit design, and efficient implementation of complex electronic systems. He contributes to advancing VLSI education and design automation at Boğaziçi's Electrical Engineering department.

Denis Poussartمشاهده پروفایل

استاد

• Computer Vision
• Advanced Processing Architectures
• VLSI Sensing
• +۵ مورد دیگر

Denis Poussart is a Retired Professor at Université Laval's Faculty of Science and Engineering, Department of Electrical and Computer Engineering. His research focuses on Computer Vision, Advanced Processing Architectures, and VLSI Sensing, with contributions to robotics in forestry and thermal tomography. He holds a PhD from MIT (Electrical Engineering) and a B.A. and B.Sc. from Université Laval. Professional roles include leadership in the ATREF project (robotics in forestry) and board memberships at CRIM (advanced IT), Canarie Inc. (national optical Internet), and Quebec's Science & Technology Council. He has been honored with the Canadian Academy of Engineering Fellowship (1996), the 1999 Distinguished Service Award in Image Processing, and multiple Summa Awards from Université Laval. His teaching includes courses on engineering design (GEL-21405) and scientific writing (GEL-64324). Key projects include developing virtual environments for critical interventions and smart sensor architectures. His work integrates interdisciplinary approaches, emphasizing design as central to engineering education.

Prabha Sundaravadivelمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• Smart Healthcare
• IoT Architectures
• +۴ مورد دیگر

Dr. Prabha Sundaravadivel is an Assistant Professor in the Department of Electrical Engineering at the University of Texas at Tyler (UT Tyler). She joined UT Tyler in Fall 2018 and holds a Ph.D. in Computer Science and Engineering from the University of North Texas (2018), an M.Tech in VLSI Design from Vellore Institute of Technology (2015), and a B.Tech in Electronics and Communication from SRM Institute of Science and Technology (2011). Her research focuses on IoT-driven smart healthcare systems, low-power VLSI design, and embedded systems for IoT applications. As Director of the Computer Engineering Research Laboratory (CERL), her team explores smart healthcare and smart cities initiatives, leveraging IoT technologies to enhance quality of life. Current projects include UAV-based agricultural monitoring, bio-inspired robotics, and edge-intelligent wearables for health monitoring. Dr. Sundaravadivel is an IEEE member and Faculty Advisor for the IoT Student Club. Her work emphasizes interdisciplinary innovation, integrating machine learning, hardware design, and environmental intelligence into practical solutions. Recent research highlights include autonomous UAV navigation systems, low-power memristor emulators, and FPGA-based intrusion detection for aerial robots. Her teaching philosophy incorporates project-based learning (PBL) to integrate sustainability and entrepreneurial skills into engineering education. Notable educational initiatives include video creation for developing entrepreneurial mindsets and blending entrepreneurship into senior-level courses.

Luca Pezzarossaمشاهده پروفایل

دانشیار

• Real-Time Systems
• Digital Microfluidics
• Compiler Optimizations
• +۷ مورد دیگر

Luca Pezzarossa is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on real-time systems, embedded computer systems, digital microfluidics, compiler optimizations, and hardware accelerators. He leads projects such as the Edu4Chip: Joint Education for Advanced Chip Design in Europe initiative and supervises PhD students in areas like compiler optimizations for neural networks and speech enhancement algorithms. His academic journey includes contributions to interdisciplinary fields, combining computer engineering with biomedical applications such as biochip design and PCR optimization. He actively engages in open-source tool development, particularly using the Chisel framework for hardware design education and research. Key research themes include: Real-time systems and time-predictable architectures Compiler-driven optimizations for constrained devices Digital microfluidics for lab-on-a-chip systems Edge computing and TinyML applications Recent publications highlight innovations in microplastic detection on edge devices, dynamic channel pruning for speech enhancement, and parallel execution engines for digital microfluidics. His work aligns with sustainable development goals through environmental applications and energy-efficient technologies. Current projects involve: PhD Supervision: Andrea Cerioli (Compiler Optimizations), Riccardo Miccini (AI-to-Neural Network Mapping), Ehsan Khodadad (Time-predictable Systems) Research Grants: EU-funded Edu4Chip (2023–2025), multiple industry-academia collaborations Labs and teams: Leads the Embedded Systems Engineering group at DTU, focusing on interdisciplinary hardware-software co-design for real-world applications. Active in developing open-source frameworks for education and research.

• Computer Security
• Operating Systems
• Hardware Security
• +۳ مورد دیگر

C Giuffrida is an Associate Professor at the Faculty of Science, Vrije Universiteit Amsterdam, with affiliations to the Network Institute and the Systems and Network Security group. His research focuses on computer systems security, hardware vulnerabilities, and software reliability. Giuffrida holds a PhD in Computer Systems from Vrije Universiteit Amsterdam (2014). His academic contributions span multiple areas including transient execution attacks, fuzzing techniques, and hardware-software co-design for security. Research Interests: Hardware Security: Investigating vulnerabilities like Spectre, Rowhammer, and speculative execution risks. Software Security: Focusing on memory safety, compiler optimizations, and exploit mitigation strategies. Systems Research: Developing tools like BinRec for binary analysis and VPS for C++ vulnerability protection. His work has been recognized with awards such as the Distinguished Paper Award in 2021. Giuffrida supervises advanced courses in operating systems and hardware security, and has guided 16 PhD theses to completion.

• Reconfigurable Computing
• Design Automation
• Machine Learning
• +۹ مورد دیگر

Professor Christos-Savvas Bouganis serves as Professor of Intelligent Digital Systems and Director of Undergraduate Studies in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. He leads the Intelligent Digital Systems Lab (iDSL) and holds affiliations with the Robotic Additive Manufacturing Lab and Robotics Forum. His academic credentials include: M.Eng in Computer Engineering and Informatics, University of Patras, Greece (1998) MSc in Communications and Signal Processing, Imperial College London (1999) Ph.D., Imperial College London (2004) Bouganis specializes in reconfigurable computing and design automation for digital signal processing algorithms, with current research emphases on Machine Learning, Computer Vision, Image Processing, Markov Chain Monte Carlo Systems, and computing with unreliable hardware. His work bridges theoretical foundations and practical implementations in digital systems, contributing to advancements in artificial intelligence and distributed computing architectures. He actively mentors the next generation of researchers as an academic recruiting PhD students for projects including DESYRE: On-Demand System Reliability. Bouganis maintains significant professional engagement through program committee roles at FCCM, FPL, FPT, DATE, SPPRA, and VLSI-SoC conferences, alongside editorial board positions for ACM TRETS, IET Computers and Digital Techniques, and the Journal of Systems Architecture. His laboratory initiatives focus on intelligent digital systems development within the iDSL ecosystem, fostering collaborations across robotics and additive manufacturing domains through institutional lab affiliations.

Jiang Huمشاهده پروفایل

استاد

• Electronic design automation
• VLSI physical design
• Optimization of large computing systems
• +۵ مورد دیگر

**Jiang Hu** is a Full Professor of Electrical and Computer Engineering at Texas A&M University, holding a Hans Fischer Senior Fellowship at the Technical University of Munich (TUM-IAS). He earned his B.S. in Optical Engineering from Zhejiang University (1990), M.S. in Physics from the University of Minnesota (1997), and Ph.D. in Electrical Engineering (2001). Before joining Texas A&M in 2002, he worked at IBM Microelectronics. His research focuses on Electronic Design Automation (EDA), VLSI physical design, and hardware security, with notable contributions to machine learning-driven CAD tools and approximate computing architectures. **Education**: B.S., Optical Engineering, Zhejiang University (1990) M.S., Physics, University of Minnesota (1997) Ph.D., Electrical Engineering, University of Minnesota (2001) **Research Interests**: Jiang Hu's work bridges EDA and computer architecture, emphasizing optimization of large-scale computing systems. His projects include automated power modeling frameworks (e.g., APOLLO), neural network-driven placement algorithms, and security-enhanced dataflow architectures. He also explores plasmonic materials and perovskite solar cells through interdisciplinary collaborations. **Awards**: IEEE Fellow (2012) Alexander von Humboldt Research Fellowship (2011) Multiple best-paper awards at IEEE/ACM conferences (2003–2021) **Grants & Leadership**: He served as Technical Program Chair for ACM International Symposium on Physical Design (2011–2012) and co-chaired the ACM/IEEE Workshop on Machine Learning for CAD (2023). His research has led to 10 patents and supervision of 24 Ph.D. students. **Labs & Teams**: His group collaborates with TUM-IAS on projects like *A New and Scalable Methodology for Fast Machine Learning Accelerator Design*, advancing EDA tools for next-generation hardware systems.

Christopher Battenمشاهده پروفایل

استاد

• Computer Architecture
• Electronic Design Automation (EDA)
• VLSI Design
• +۷ مورد دیگر

Christopher Batten is a Professor of Electrical and Computer Engineering at Cornell University, affiliated with the Computer Science department. He leads the Batten Research Group within the Computer Systems Laboratory (CSL), focusing on computer architecture, electronic design automation, and VLSI systems. His work spans programmable accelerators, interconnection networks, and agile chip design methodologies. Batten holds a PhD from MIT, an M.Phil. from the University of Cambridge, and a B.S. from the University of Virginia. He has held visiting roles at UC Berkeley and NVIDIA. Research Interests: Computer Architecture: Accelerators, interconnection networks, and emerging technologies VLSI Design: Agile methodologies, chip prototyping, and physical design Hardware-Software Co-Design: Parallel programming frameworks and productivity tools Recent Work: Focuses on optical interconnects, 3D integration, and AI-driven hardware design. Led projects like Cornell Custom Silicon Systems (C2S2), which taped out multiple chips in SkyWater 130nm. Collaborates with industry partners like NVIDIA and Meta. Awards: Recognized with the ACM/IEEE MICRO Hall of Fame, NSF CAREER Award, and multiple teaching accolades. His group emphasizes student-led chip projects and open-source frameworks like PyMTL3. Grants & Sponsors: Supported by NSF, DARPA, AFOSR, and industrial partners including Intel, NVIDIA, and Xilinx. Current efforts include NSF CSSI projects improving gem5 and NSF Panorama for pangenomics.

Gerald Jay Sussmanمشاهده پروفایل

استاد

• Artificial Intelligence
• Computer Languages
• Computer Architecture
• +۶ مورد دیگر

Gerald Jay Sussman is the Panasonic Professor of Electrical Engineering at the Massachusetts Institute of Technology (MIT). He received his S.B. (1968) and Ph.D. (1973) in mathematics from MIT and has been conducting artificial intelligence research there since 1964. His primary research focuses on understanding problem-solving strategies used by scientists and engineers, with dual goals of automating these processes and formalizing educational methodologies. He co-directs the Sussman Lab at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL). His research spans artificial intelligence, computer languages, VLSI design, computational classical mechanics, synthetic biology, and telescope engineering. Notable contributions include co-creating the Scheme programming language, developing AI-based CAD tools for VLSI, designing the Digital Orrery for orbital mechanics simulations, and pioneering computational approaches to teaching classical mechanics. His current work includes developing explainable AI systems for autonomous vehicles. Professor Sussman's publications demonstrate broad interdisciplinary impact, with recent works spanning computer science education, software design, computational physics, and synthetic biology. His research consistently bridges theoretical computer science with practical engineering applications and educational innovation. Scientific Awards & Honors: Karl Karlstrom Outstanding Educator Award (ACM, 1990) Amar G. Bose Award for Teaching (MIT, 1992) IEEE EAB Major Education Innovation Award (2023) Taylor L. Booth Education Award (IEEE, 2024) National Academy of Engineering Member Fellow: IEEE, AAAI, ACM, AAAS, American Academy of Arts and Sciences He has supervised 46 PhD students spanning five decades, with dissertations covering AI, computer architecture, computational biology, and physical system modeling. His Sussman Lab develops computational tools for science education and engineering design, including contributions to the Magellan telescopes in Chile. Current projects involve explainable AI systems and computational mechanics frameworks.

Mohammed Oualiمشاهده پروفایل

دانشیار

• Machine Learning
• Optimization Algorithms
• Image Processing
• +۷ مورد دیگر

Mohammed Ouali is an Associate Professor and Department Chair of Computer Science at Adrian College. He holds an M.Sc. in Computer Science and Engineering from Université de Versailles Saint-Quentin-en-Yvelines (1995), and dual Ph.D.s in Real-Time Robotics and Automatic Control from Mines ParisTech (2000) and Mathematics and Computer Science from the University of Sherbrooke (2000). Prior to joining Adrian College, he worked at Thales Canada in safety-critical real-time systems. IEEE member since 1995. Education M.Sc. Computer Science & Engineering - Université de Versailles Saint-Quentin-en-Yvelines (1995) Ph.D. Real-Time Robotics & Automatic Control - Mines ParisTech (2000) Ph.D. Mathematics & Computer Science - University of Sherbrooke (2000) Research Interests : Focus on machine learning optimization, hyperspectral image processing, and medical diagnostics. Key contributions in metaheuristic algorithms (Gray Wolf, Salp Swarm), clustering methods , and feature selection for cancer diagnosis and remote sensing applications. Article Trends : Recent work emphasizes hybrid optimization techniques for hyperspectral data, clustering validation metrics , and automated medical diagnosis . Earlier research includes dense stereovision algorithms and VLSI architectures for signal processing. Honors : Institute of Electrical and Electronics Engineers (IEEE) Member (1995-present)

• Embedded Systems
• IoT Security
• Digital System Design
• +۳ مورد دیگر

Paulino Ruiz de Clavijo Vázquez is a Professor in the Department of Electronic Technology at the University of Seville. His primary research focuses on embedded systems, IoT security, digital system design, FPGA implementation, and hardware security. He leads and collaborates on numerous research projects, including advanced IoT boot systems, secure embedded communication, and high-precision timing synchronization for IoT devices. Key projects include the IRIS secure boot framework for IoT and the E-LUKS hardware encryption solution. His work spans both theoretical contributions (e.g., novel trigonometric computation algorithms) and applied hardware-software co-design (e.g., NanoFS file system). He has advised doctoral theses such as 'LILA: Low-level IoT Lightweight Applications.' His research also involves FPGA-based systems for real-time applications, including time servers and FFT modules. Projects like HAVOC (hardware audio codec) and HardTIME (high-precision timing) highlight his focus on practical hardware implementations. He has contributed to over 50 peer-reviewed publications, conference presentations, and patents related to embedded systems, digital circuit design, and IoT security solutions.

• Algorithms
• Graph Theory
• Machine Learning
• +۳ مورد دیگر

Ioannis Koutis is an Associate Professor in the Department of Computer Science at the New Jersey Institute of Technology (NJIT). His research focuses on algorithms, graph theory, and machine learning, with a particular emphasis on spectral methods and computational science. Koutis has been actively involved in federal grants and collaborative projects, including work on space weather forecasting, linear regression algorithms, and spectral network alignment funded by the National Science Foundation and the United States-Israel Binational Science Foundation. His research interests span spectral graph theory, combinatorial optimization, and the application of machine learning techniques to complex systems. Notable contributions include advancements in hypergraph partitioning, gene clustering in co-expression networks, and the development of efficient algorithms for large-scale graph problems. Koutis has led or co-led seven federally funded projects, emphasizing interdisciplinary applications in computer vision, bioinformatics, and computational social science. Publications highlight innovations in temporal knowledge graphs, neural network pruning, and spectral sparsification. Collaborations include partnerships with institutions like UC Irvine, Rensselaer Polytechnic Institute, and the University of Patras. His work bridges theoretical foundations with practical applications, addressing challenges in VLSI design, space weather modeling, and educational technologies. Awards and recognitions include his h-index of 13 and over 1,700 citations, reflecting significant scholarly impact. Teaching focuses on advanced topics in machine learning and deep learning, contributing to NJIT's graduate curriculum in data science and computer science.

M. Jamal Deenمشاهده پروفایل

عضو هیئت علمی

• Biomedical Technologies
• Communication Technologies, Systems & Networks
• Imaging, Sensing and Detection
• +۴ مورد دیگر

M. Jamal Deen is a Distinguished University Professor and Senior Canada Research Chair in Information Technology at McMaster University, where he also serves as Director of the Micro- and Nano-Systems Laboratory . He holds associate memberships in the McMaster School of Biomedical Engineering , Engineering Physics , and Computing and Software departments. B.Sc. from University of Guyana (1978) M.S. and Ph.D. from Case Western Reserve University (1982, 1986) His research spans microelectronics, nanotechnology, biosensors, and low-noise circuit design for health and environmental applications. He has led projects on BioFET sensors , advanced photodetector systems , and microwave semiconductor device modeling , supported by NSERC, ORF, CFI, and industry partners like Gennum Corporation and National Semiconductor. Scientific honors include: First McMaster professor elected Fellow of the Electrochemical Society and American Physical Society First engineering professor at McMaster to become a Fellow of the American Physical Society Only McMaster professor to win the Ham Education Medal , Gotlieb Computer Award , Fessenden Silver Medal , and McNaughton Gold Medal from IEEE Canada Second Canadian elected to the Chinese Academy of Sciences Multiple Doctor Honoris Causa degrees from institutions in Mexico, Spain, and Canada Deen has advised over 50 graduate students and postdoctoral fellows, including Ph.D. candidates like Wai-Leung Ngan and Naser Faramarzpour and M.A.Sc. students such as Samar Mikhael Abdelsayed and Munir Eldesouki . His lab houses advanced facilities for high-frequency noise measurements (45 MHz to 110 GHz), semiconductor parameter analysis , and optical detector testing , with automated systems using HP, Tektronix, and National Instruments equipment.