جست‌وجوی استاد و پژوهشگر

• Power engineering
• Energy harvesting
• Low power design
• +۴ مورد دیگر

Toru Tanzawa is a Professor at Waseda University's Faculty of Science and Engineering, Graduate School of Information, Production, and Systems. He holds a Ph.D. from the University of Tokyo (2002) and maintains an active research laboratory focused on power electronics and energy harvesting systems. His professional memberships include IEEE and IEICE, and he has served on various technical committees including the IEICE Electronics Society's Integrated Circuit Research Committee and the IEEE ESSCIRC Technical Program Committee. Professor Tanzawa's research focuses on low-power analog circuits , energy harvesting , greening of integrated circuits , IoT systems , power management , and circuit design . His work bridges theoretical circuit analysis with practical implementations for real-world applications, particularly in memory systems and energy-constrained environments. He has pioneered numerous innovations in switched-capacitor converters, charge pump circuits, and power management solutions for NAND flash memory and IoT devices. His publication record shows a clear progression from fundamental circuit theory to practical implementations, with recent work focusing on energy harvesting from thermoelectric generators, microwave wireless power transfer, and ultra-low-voltage operation. The research demonstrates consistent innovation in power conversion efficiency, particularly in the 1-100 μW range relevant for IoT applications. His publications span top venues including IEEE journals and conferences like VLSI Symposium. Test of Time Award, Symposium on VLSI Technology and Circuits (2023) IEEE Fellow (2016) Professor Tanzawa leads an active research group with numerous industry collaborations. His current research projects include "Understanding the operation principle of boost converters from extremely low voltage and application to IoT terminals" (2022-2025), funded by the Japan Society for the Promotion of Science. He has also secured multiple patents related to power conversion circuits and rectenna systems. His laboratory maintains strong connections with semiconductor industry leaders, particularly in memory technology and power management ICs.

Borut Robičمشاهده پروفایل

استاد

• Computability Theory
• Algorithms
• Parallel Computing
• +۵ مورد دیگر

Borut Robič is a Full Professor and Head of the Theoretical Computer Science Chair at the Faculty of Computer and Information Science, University of Ljubljana . He also serves as Head of the Laboratory for Algorithmics and President of the Faculty's Academic Assembly since 2005. His work spans computability theory, algorithms, and parallel computing, with notable contributions to foundational concepts and educational literature. University: University of Ljubljana School: Faculty of Computer and Information Science Roles: Professor, Head of Theoretical Computer Science Chair, Head of Laboratory for Algorithmics, President of Academic Assembly Robič's research interests focus on computability and complexity theory, algorithm design, and parallel computing frameworks. His publications emphasize historical context, formal methods, and modern computational paradigms like hypercomputing. Publication trends reveal a progression from foundational algorithmic theory (1999) to advanced computability research (2020), with a 2018 work bridging parallel programming and practical implementation. Projects include leadership in ARRS research programmes on parallel systems (2020-2026) and past collaborations on graph optimization and big data initiatives. Laboratory affiliations: Head of the Laboratory for Algorithmics and active member of its research team.

Nebojsa Stankovicمشاهده پروفایل

استادیار

• Artificial Intelligence in Education
• Machine Learning Applications
• Programming Education
• +۳ مورد دیگر

Dr. Nebojsa Stanković is an Assistant Professor at the Department of Information Technologies , Faculty of Technical Sciences Čačak , University of Kragujevac . With a career spanning over three decades in academia, he focuses on educational technology innovation , machine learning applications , and IT pedagogy . BSc: Electrical Engineering, University of Kragujevac (1991) MSc: Technical Sciences, University of Kragujevac (2009) PhD: Information Technologies, University of Kragujevac (2021) His research explores artificial intelligence in education , student success prediction , and e-learning systems . Recent work includes hybrid AI models for solar energy optimization and vibration classification in industrial settings. Publications demonstrate consistent engagement with machine learning , cybersecurity , and digital transformation in educational contexts. He actively contributes to international conferences like TIE and UNITECH, specializing in pedagogical applications of Python programming , NLTK , and MATLAB . As a certified ECDL examiner and conference organizer, he bridges academic research with practical IT training . His textbook on Multimedia Technologies (2019) exemplifies his commitment to educational resource development.

Mikhail Dorojevetsمشاهده پروفایل

دانشیار

• Computer Architecture
• High-Performance Computing
• Superconducting Electronics
• +۳ مورد دیگر

Mikhail Dorojevets is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University , New York. His research focuses on parallel computer architecture, high-performance systems design, and superconductor processors . He has contributed extensively to RSFQ (Rapid Single Flux Quantum) and RQL (Resonator Quantum Logic) technologies for ultra-high-speed computing systems. Key areas of expertise include: Superconducting electronics for energy-efficient computing High-frequency (GHz-scale) processor design Architectures for parallel and wave-pipelined systems FPGA-based hardware acceleration for network processing His work spans both theoretical and applied aspects, including: Design of RSFQ arithmetic logic units (ALUs) and multipliers Development of 20+ GHz microprocessor prototypes Optimization of energy consumption in superconductor-based systems Publications emphasize advancements in: Superconductor VLSI implementation High-performance storage architectures Multi-port register file designs Integration of satisfiability solvers with hardware

Shubhendu Mukherjeeمشاهده پروفایل

استاد مدعو

• Computer Architecture
• Fault Tolerant Systems
• Soft Errors
• +۵ مورد دیگر

Shubhendu Mukherjee is a Distinguished Engineer at Cavium Networks and Adjunct Professor at the Indian Institute of Technology Kanpur. He is a Fellow of IEEE and ACM, and recipient of the 2009 Maurice-Wilkes Award for outstanding contributions to computer architecture. His career spans leadership roles at Intel and Compaq, where he pioneered fault-tolerant microarchitectures and performance modeling innovations. Education: PhD (1998) and MS (1993) in Computer Science from University of Wisconsin-Madison; B.Tech (1991) in Computer Science and Engineering from IIT Kanpur. Research Interests Mukherjee specializes in computer architecture , soft error modeling , and fault-tolerant design . His work includes Redundant Multithreading (RMT), architectural vulnerability modeling, and on-chip interconnect optimization. Recent publications focus on cache soft error anomalies, quantized AVF analysis, and architectural core salvaging for hard error tolerance. Scientific Awards Maurice-Wilkes Award (2009) IEEE Fellow (2009) ACM Fellow (2011) IEEE Top Picks Awards (2003, 2004) Intel Divisional Recognition Awards (2002–2009) Professional Activities Mukherjee served as General Chair of ASPLOS 2004 , Program Chair of HPCA 2011 , and editorial board member for IEEE Micro, IEEE Computer Architecture Letters, and IEEE Transactions on Dependable and Secure Computing. He also led Intel's SPEARS group (2001–2010), driving architectural innovations in enterprise processors.

Marko Kosunenمشاهده پروفایل

دانشیار

• Microelectronics
• VLSI Design
• Analog-to-Digital Converters
• +۳ مورد دیگر

Marko Kosunen is an Associate Professor at Aalto University's Department of Electronics and Nanoengineering. He holds M.Sc., Lic.Sc., and D.Sc. (Tech.) degrees from Helsinki University of Technology (now part of Aalto University), completed in 1998, 2001, and 2006, respectively. He served as a visiting scholar at the Berkeley Wireless Research Center, UC Berkeley (2017–2019), supported by a Marie Sklodowska-Curie EU grant. He co-chairs Microelectronics Finland, a collaborative body linking academia and industry in microelectronics research and education. His research focuses on programmatic circuit design methodologies, digital-intensive time-based data converters, transceiver circuits, and RISC-V-based microprocessor implementations with DSP accelerators. He has authored/co-authored over 100 peer-reviewed papers and holds multiple patents. His work spans VLSI systems, RF IC design, and energy-efficient signal processing architectures. Recent articles highlight advancements in automated comparator design frameworks, 5G transmitter hardware, and neural network accelerators. His contributions often bridge theoretical design methodologies with practical applications in wireless communication and AI hardware. Dr. Kosunen actively collaborates with industry partners, evidenced by his role in Microelectronics Finland and co-authored works addressing real-world challenges like 5G transceiver efficiency and in-sensor neural processing.

Guillaume Ducمشاهده پروفایل

دانشیار

• Embedded Systems Security
• Hardware/Software Interaction
• Side-Channel Attacks
• +۳ مورد دیگر

Guillaume Duc is an Associate Professor (Maître de Conférences) at Télécom Paris , affiliated with the Information Processing and Communication Laboratory (LTCI) and the Department of Computer Science and Networks . His research focuses on embedded systems security, particularly hardware/software interaction, side-channel attacks, and resilient architectures. Education: PhD in Hardware, Software and Cryptographic Support for Secure Process Execution , École Nationale Supérieure des Télécommunications de Bretagne (2007) Master's (DEA) in CryptoPage – an architecture to run secure processes , Université de Rennes 1 (2004) Research Interests: His work spans embedded systems security , with a focus on: Hardware/Software Interaction: Exploring vulnerabilities and defenses at the intersection of hardware and software. Side-Channel Attacks: Investigating power analysis, electromagnetic attacks, and countermeasures, including organizing the DPA Contest . Resilient Architectures: Designing secure memory architectures, FPGA-based protections, and cloud-embedded system trustworthiness. Publications & Patents: He has published extensively in top-tier venues such as Journal of Cryptographic Engineering , ACSAC , and CARDIS , with recent works addressing AI-driven automotive security (2024) and system cost-optimization for security (2019). He holds multiple patents in non-intrusive fault detection and secure electronic component monitoring. Teaching & Leadership: Academic lead for the engineering program at Télécom Paris. Responsible for courses like INF107: From Logic Gates to Operating Systems and SE203: Microprocessor System Tools . Co-instructor for Rust programming modules in executive education. Labs & Teams: He leads research within the Autonomous Critical Embedded Systems (ACES) team at LTCI, collaborating on secure embedded systems for automotive and cloud applications.

Douglas H. Summervilleمشاهده پروفایل

استاد

• Hardware Security
• Tamper Detection
• Network Security
• +۴ مورد دیگر

Douglas H. Summerville is a Professor and Chair of the Department of Electrical and Computer Engineering at Binghamton University, part of the State University of New York system. He holds a B.E. from The Cooper Union (1991), and M.S. and Ph.D. degrees from Binghamton University (1994, 1997). Previously, he served as an Assistant Professor at the University of Hawaii at Manoa. His research focuses on hardware security, tamper detection, and network security, with active projects including Chameleon Circuits (Lockheed Martin/Air Force Research Lab) and SHEATH (DARPA-funded). He has authored over 50 papers and two textbooks on embedded systems design, and is a Senior Member of the IEEE and a member of ASEE. Teaching interests include digital systems design, microcontroller systems, and computer architecture. He has received prestigious awards such as the SUNY Chancellor's Awards for Excellence in Teaching (2011) and Faculty Service (2007), along with the Binghamton University Council/Foundation Award for Service. Current courses include EECE 451/EECE573 (Digital Systems Design II) and EECE 458/583 (Computer Organization & Microprocessors). Past courses span graduate/undergraduate levels in areas like VLSI design, network security, and embedded systems. Research highlights include ultra-lightweight anomaly detection for IoT devices and FPGA-based tamper detection methodologies. His work emphasizes quantifying security as an optimization parameter alongside traditional metrics like speed and power consumption.

Burak Galip Aslanمشاهده پروفایل

مدرس

• Decision-support systems
• Expert systems
• Forecasting
• +۷ مورد دیگر

Burak Galip Aslan is a Lecturer in the Computer Engineering Department at Izmir Institute of Technology (IZTECH). He has been affiliated with the institution since 2000. His academic journey includes a B.Sc. in Electrical and Electronics Engineering from Dokuz Eylul University (2000), an M.Sc. in Computer Software from IZTECH (2003), and a Ph.D. in Computer Engineering from Ege University (2010). Education: B.Sc. Electrical and Electronics Engineering, Dokuz Eylul University (2000) M.Sc. Computer Software, Izmir Institute of Technology (2003) Ph.D. Computer Engineering, Ege University (2010) Research Interests: His work focuses on educational technology, adaptive learning systems, and computational methods in education. Key areas include decision-support systems, Bayesian modeling for academic achievement, cloud-based e-learning architectures, and learning style analysis through behavioral data. He also explores hands-on educational approaches in computer hardware instruction for secondary students. Courses Taught: Core courses include Logic Design (CENG 214), Microprocessors (CENG 384), Probability and Statistics (CENG 222), Professional Ethics in Computer Engineering (CENG 411), and Research Methodology (CENG 518). His teaching integrates laboratory work involving digital circuits, microcontroller programming, and ethical considerations in technology. Publications: His research highlights include studies on Bayesian techniques in language education, cloud deployment for e-learning systems, and learning style validation frameworks. Recent work emphasizes practical educational tools like hardware teaching modules for high school students. Laboratory Contributions: Develops hands-on experiments in digital systems design, including BCD-to-7-segment displays, combinational circuits, and microcontroller-based projects. These labs emphasize troubleshooting, ADC interfacing, and embedded systems development.

David Harrisمشاهده پروفایل

استاد

• Computer Engineering
• VLSI Design
• Microprocessor Design
• +۴ مورد دیگر

David Harris is a Professor at the Engineering Department of Harvey Mudd College . He teaches courses such as E11: Autonomous Vehicles , E15: Introduction to Aviation , E80: Experimental Engineering , E158: Intro to CMOS VLSI Design , and E190AT: VLSI Design Project . Research Interests : His work focuses on computer engineering, VLSI design, microprocessor architecture, and digital electronics. He has also contributed to aviation education through course development and experimental projects. Publications : He co-authored the textbook CMOS VLSI Design and Digital Design & Computer Architecture , along with hiking guides like Afoot and Afield Inland Empire and Trails of the Angeles . Contact : Office in Parsons 2374, phone (909) 607-3623, email David_Harris@hmc.edu .

• Automotive Electronics
• Real-Time Systems
• Control System Diagnostics
• +۳ مورد دیگر

Laurentiu Dimitriu is a Professor at the Gheorghe Asachi Technical University of Iasi , affiliated with the Faculty of Electrical Engineering. His research focuses on Automotive Electronics , Real-Time Systems , and Control System Diagnostics , with significant contributions to microprocessor-based control systems and sensor technology. Teaching: Power Supplies and Circuits, Electronic Measuring and Control Devices, Automotive Electronics Contact: dimitriu@etc.tuiasi.ro Research Interests span automotive control systems, thermal engine management, and fuzzy logic applications in engine optimization. His work addresses hardware/software co-design for microprocessor control units, fuel efficiency, and cooling systems. Engineering Trends in his publications highlight real-time communication protocols, sensor diagnostics, and airflow control mechanisms. Over 84 works (including books and patents) demonstrate his expertise in integrating embedded systems with automotive engineering. Scientific Contributions include 14 invention patents for electroacupuncture devices, engine control systems, and sensor technologies. His 1995 book Sisteme electronice de control pentru automobile remains a seminal reference in automotive electronics. Collaborations extend to INMT Bucharest, Transloc R.A. Botosani, and academic-industrial partnerships for real-time engine testing systems.

Mateo Valeroمشاهده پروفایل

استاد

• High performance computers
• Computer architecture
• Parallel computing
• +۳ مورد دیگر

Mateo Valero is a full Professor at the Computer Architecture Department of the Technical University of Catalonia (UPC) , and has served as Director of the Barcelona Supercomputing Center (BSC) since 2004. His career spans multiple leadership roles, including Chair of the Computer Architecture Department (2001-2005), Director of CIRI (CEPBA-IBM Research Institute, 2000-2004), and Director of C4 (Catalan Center for Computation and Communications, 1995-2000). He has been an active member of advisory boards and research institutes, including Intel Microprocessor Research Lab (2002-2004). Valero’s research focuses on High-performance computing Computer architecture Parallelism and supercomputing Engineering and information technology integration His work has driven advancements in computational efficiency, national research infrastructure, and international collaboration in technology. Scientific awards and honors include Eckert-Mauchly Award (IEEE/ACM) Spanish National Awards (Julio Rey Pastor, Leonardo Torres Quevedo, King Jaime I) Honorary Doctorates from Chalmers, Belgrade, Las Palmas, and others Founding member of the Royal Spanish Academy of Engineering IEEE and ACM Fellow Intel Distinguished Research Fellow Harry H. Goode Award (2009) Narcís Monturiol Award (Generalitat de Catalunya) Barcelona Prize 2024 (La Vanguardia) Barceloní de l'Any 2024 Award Valero has secured significant research grants, including an ERC Advanced Grant , and his leadership has earned institutional accolades for the UPC, such as the UPC Prize for Quality of University Management as director. He has also contributed to educational innovation initiatives like the Reutiliza program and been recognized for digital design and sustainable development practices .

Aitor Morillo Rasconمشاهده پروفایل

مدرس

• Medical Device Engineering
• Hardware/Firmware Design
• Usability Engineering
• +۴ مورد دیگر

Aitor Morillo Rascon is a professional with dual roles in industry and academia. He currently serves as Team Leader at Med-El, leading a 5-member team to develop a Vestibular Processor for US market approval. His work focuses on medical device hardware/firmware design, adhering to standards like Safety, EMC, and Software Lifecycle Management. Since 2024, he has been a Guest Lecturer at Management Center Innsbruck teaching usability and user experience. Earlier, he held teaching roles at UNED (2008-2010), instructing subjects like Algebra, Discrete Mathematics, and Informatics Engineering. Education includes a Dipl.-Ing in Telecommunication (2001-2008) and an MSc in Advanced Electronic Systems (2008-2010) from the University of the Basque Country. Professional certifications include Signal Integrity training (Oxford University, 2023), Requirements Engineering (IREB, 2017), and Medical Device Project Management (Gantus, 2014). Research interests span medical device development, FPGA-based system design, and usability engineering. His publications address topics like vestibular implant systems and fault-tolerant microprocessor architectures in FPGAs. Current projects include a first-in-human clinical trial for vestibular implants.

Peyman Kabiriمشاهده پروفایل

مدرس ارشد

• Network Security
• Cybersecurity
• Intrusion Detection and Response
• +۶ مورد دیگر

Peyman Kabiri is a Senior Lecturer in Cyber Security at the De Montfort University School of Computer Science and Informatics , Faculty of Computing, Engineering and Media. His research spans interdisciplinary domains including Network and Cybersecurity (Intrusion Detection/Response) Remote Sensing and Acoustic Emission Analysis Many-Valued Logic and Robotics Sound Analysis and Music Information Retrieval Peyman's academic contributions focus on adaptive error compensation in mechanical systems and security frameworks for cyber-physical environments. His recent publications highlight innovations in Monocular SLAM algorithms for indoor navigation Wavelet packet transform for image processing Signal strength-based wireless intrusion detection Trust modeling in virtualized systems As an educator, he teaches Practical Host & Network Security (PG) Secure Coding (UG) Endpoint Security (UG) with extensive experience in microprocessor design, robotics, and network security modules. Professional memberships include BCS (2024) IEEE (1997-2002, 2012) ACM (2010-2013) SPIE (2005) ISMVIP (2010-2019) ISAV (2017)

Joel Grodsteinمشاهده پروفایل

مدرس

• VLSI Design
• Computer Architecture
• Computer-Aided Design (CAD)
• +۴ مورد دیگر

Joel Grodstein is a Lecturer in the Department of Electrical Engineering at Tufts University's College of Engineering. He holds a BSEE from Case Western Reserve University (1981) and an MSCS from the University of Utah (1986). His research spans VLSI design, computer architecture, and interdisciplinary bioelectricity studies, focusing on the intersection of hardware-software systems and biological applications. He teaches courses on real-time embedded systems, parallel computing, bioelectricity, and digital design verification. His career includes roles at Digital Equipment Corporation, Compaq, Intel, and now academia. His recent work bridges computational modeling of bioelectric networks with traditional hardware design, as seen in collaborations with Mike Levin's lab at Tufts. Courses like EE 123 (Bioelectricity) and new offerings like EE 152 (Real-Time Embedded Systems) reflect this dual focus. Publications emphasize symbolic timing analysis, CAD tools for VLSI, and bioelectric systems. He has advised no listed students but collaborates actively with industry partners (e.g., NVIDIA for EE 165). His lab work involves biophysical modeling and synthetic biology projects, as detailed in his recent bioelectricity-related papers.