جست‌وجوی استاد و پژوهشگر

Gurindar S. Sohiمشاهده پروفایل

استاد

• Computer Architecture
• Parallel Computing
• Memory Systems
• +۳ مورد دیگر

Gurindar S. Sohi is a Vilas Research Professor , John P. Morgridge Professor , and E. David Cronon Professor of Computer Sciences at the University of Wisconsin-Madison , affiliated with both the College of Engineering (Department of Electrical and Computer Engineering) and the Department of Computer Sciences . He served as Department Chair of Computer Sciences from 2004 to 2008 and has been a faculty member since 1985. Education: Ph.D. in Electrical and Computer Engineering from the University of Illinois (1985) Sohi's research focuses on high-performance computer architecture , particularly instruction-level parallelism (ILP) , multiscalar processing , and speculative execution techniques . His work has influenced commercial microprocessor design through innovations like non-blocking caches , memory dependence prediction , and trace caches . Key publications represent 15+ years of research in dynamic scheduling , parallel computing paradigms , and processor simulation tools (e.g., Simplescalar). Industry collaborations span major manufacturers like Intel , IBM , and HP . Scientific recognition includes: ACM SIGARCH Maurice Wilkes Award (1999) Vilas Associate (1997) WARF Kellett Mid-Career Award (2000) WARF Named Professor (2007) ACM and IEEE Fellow National Academy of Engineering member Teaching contributions include advanced courses on computer architecture (CS/ECE 752, 757) and foundational computer organization classes (CS/ECE 354, 552). He has graduated 18 Ph.D. students , including six NSF CAREER awardees and a Sloan Research Fellow.

• Power Electronics
• Control Systems
• Renewable Energy Integration
• +۳ مورد دیگر

Prof. Dr. Osman Kukrer is a full-time faculty member at Eastern Mediterranean University (EMU), Faculty of Engineering, Department of Electrical and Electronics Engineering. He has been actively supervising graduate students in power electronics, control systems, and renewable energy integration since the 1990s. His research spans advanced power conversion topologies, including quasi-Z-source inverters multilevel converters active power filters grid-connected systems adaptive beamforming algorithms electric vehicle grid integration Notable contributions include the EMU Publication Citation Award (2017) and extensive supervision of 41 graduate theses, with research interests aligning with modern energy systems and signal processing techniques.

• Molecular electronics
• Nanoelectronics
• Quantum computing
• +۸ مورد دیگر

Mariagrazia Graziano is an Associate Professor at the Department of Applied Science and Technology (DISAT) at Politecnico di Torino, where she also serves as Director of the Teaching and Language Lab (TLLab). Her academic career spans multiple institutions, including her involvement with doctoral colleges at the University of Palermo for 'Technologies and Methods for University Education' from 2022-2025. Her research interests are at the forefront of nanotechnology and quantum computing, focusing on areas including: Molecular field-coupled nanocomputing Logic-in-memory computing architectures Quantum hardware design and optimization Single-molecule devices for logic and memory applications Nanomagnetism and spintronics Micro-for-Nano (M4N) Systems for Single Molecule Sensors Dr. Graziano's work bridges fundamental physics with practical applications in electronics, with particular emphasis on next-generation computing paradigms that address the memory-wall problem and explore alternatives to traditional von Neumann architectures. Her research has significant implications for fields ranging from molecular electronics to quantum information processing. Her recent publications demonstrate a strong focus on molecular field-coupled nanocomputing, quantum optimization techniques, and single-molecule device modeling. These works reveal a consistent research trajectory toward developing novel computing architectures that leverage quantum effects and molecular-scale phenomena to overcome limitations of conventional semiconductor technology. Dr. Graziano has received notable recognition including the prestigious Marie Curie Intra-European Fellowship for Career Development from the European Commission (2014). She serves as Associate Editor for FRONTIERS IN ELECTRONICS (since 2022) and JOURNAL OF COMPUTATIONAL ELECTRONICS (since 2019), and has participated in program committees for major conferences including the IEEE Design Automation and Test Conference Europe. As an advisor, Dr. Graziano mentors numerous PhD students working on cutting-edge research in quantum computing, molecular electronics, and nanotechnology. Her supervision spans multiple doctoral programs at Politecnico di Torino, with students exploring topics from quantum algorithms for urban traffic optimization to single-molecule junctions for next-generation electronics. Additionally, she leads several research projects including TENS (Toward Excellence in Nanocharacterisation of single-molecule Sensors) and previously served as Scientific Leader for the Quantum Computing e Quantum Networking project. Dr. Graziano is actively involved in the VLSILAB research group, where she contributes to advancing the state-of-the-art in electronic design and nanoscale computing technologies. Her work on patents, particularly the 'Device for Realizing Boolean Logic Functions XOR XNOR Inside Racetrack Memory,' demonstrates her commitment to translating theoretical research into practical technological innovations.

Farah Mohammadiمشاهده پروفایل

دانشیار

• Electro-thermal Analysis of Integrated Circuits
• RF and Microwave Circuit Design
• Applied Electromagnetics
• +۲ مورد دیگر

Farah Mohammadi is an Associate Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University, where she has held a faculty position since 2003. Her prior academic experience includes a lectureship at Iran University of Science & Technology (1992-1993), followed by industry work as a Senior System Architect at Nortel Networks Laboratories in Ottawa (2000-2002). Her educational background features a B.Sc. and M.Sc. in Telecommunication Engineering from Iran University of Science & Technology (1988, 1991), and a Ph.D. in Electronic Engineering from the Institute d'Electronique et Microelectronique du Nord (IEMN) at the University of Science and Technology of Lille, France (1998). Research focuses on advanced electro-thermal analysis of integrated circuits, development of electro-thermal test tools, microwave circuits CAD, applied electromagnetics, and modeling of interconnects and packaging effects in high-speed circuits. Her work bridges theoretical electromagnetics with practical RF/microwave component design methodologies. Publication analysis (2008-2010) reveals consistent integration of thermal and electromagnetic modeling for ICs and microwave components, with significant contributions to electro-thermal simulation tools, thermal management of dual-core processors, and efficient CAD for RF/microwave circuits.

Luciano Ostمشاهده پروفایل

مدرس ارشد

• Embedded Systems
• Hardware/Software Co-design
• Cybersecurity
• +۷ مورد دیگر

Luciano Ost is a Senior Lecturer and Programme Director of the Computer and Electronic Engineering (CEE) Programme at the University of Leicester. He holds a Ph.D. in Computer Science from Pontifical Catholic University of Rio Grande do Sul (PUCRS), Brazil (2010). His research focuses on enhancing reliability, security, and performance of embedded and life-critical systems through innovative hardware/software co-design approaches. Key areas include fault tolerance in neural networks, radiation effects on embedded systems, and real-time control systems. Prior to Leicester, he worked at the University of Montpellier II (France) as an assistant professor and research assistant. He has authored/co-authored over 100 papers and two books, with notable contributions to soft error reliability assessment frameworks (e.g., SOFIA, gem5-FIM) and embedded system security solutions like BIDS for in-vehicle networks. His research spans topics like FPGA-accelerated intrusion detection (BNN-based), radiation resilience in IoT edge devices, and compiler optimization impacts on multicore reliability. He has conducted extensive studies using Geant4 simulations and virtual platforms for fault injection analysis.

• Software Development
• Internet of Things (IoT)
• Blockchain
• +۷ مورد دیگر

Joanna F. Defranco is an Associate Professor of Engineering at the Engineering Division (Great Valley) of Pennsylvania State University. Her research focuses on software development, internet of things (IoT), blockchain, and artificial intelligence, with a particular emphasis on quality assurance, security, and practical implementations in engineering and healthcare. Research Interests Defranco's work addresses critical challenges in IoT security, digital twins for manufacturing, and AI-driven software quality analysis. She explores secure data sharing frameworks, blockchain applications in healthcare, and the evolution of low-code/no-code platforms. Her recent publications highlight interdisciplinary approaches to telemedicine, smart agriculture, and urban infrastructure. Publication Trends Her 2023-2025 publications show increasing focus on IoT integration with AI, secure healthcare data systems, and the societal implications of emerging technologies. Key themes include digital twin adoption in SMEs, generative AI's impact on software development, and cybersecurity resilience. Collaborations She collaborates with institutions like IEEE and researchers such as Paul Laplante, Joseph Voas, and Thrasyvoulos Speicher. Her work bridges engineering education with real-world applications in manufacturing, agriculture, and healthcare.

Luciano Lavagnoمشاهده پروفایل

استاد

• Asynchronous Circuit Design
• Embedded Systems
• Logic Synthesis
• +۴ مورد دیگر

Luciano Lavagno is a prominent academic in computer science and engineering, specializing in asynchronous circuit design, logic synthesis, and embedded systems. He has collaborated extensively with researchers like Alberto Sangiovanni-Vincentelli, Joaquim Cortadella, and Alex Yakovlev. Key contributions: Hazard-free asynchronous circuits, STG manipulation, FPGA synthesis frameworks Research focus: Formal verification, design methodologies, hardware-software co-design His publications from 1991–2025 demonstrate sustained innovation in asynchronous control logic, embedded system validation, and machine learning hardware acceleration. Notable works include SIS (sequential synthesis) and Petrify (asynchronous controller tool). While his 2018 DiracDeltaNet work extended into neural network optimization, his core expertise remains rooted in formal methods for circuit design.

• Solid State Physics
• Nanoelectronics
• Plasmonics
• +۴ مورد دیگر

Vitaliy Igorovich Reva serves as an Associate Professor in the Department of Information Security and Nano-electronics at Zaporizhia Polytechnic National University's Faculty of Information Security and Electronic Communications. With a Candidate of Physical and Mathematical Sciences degree, his academic career at the university began in 2014 following his 2012 graduation with honors from Zaporizhia National Technical University where he earned a Master's degree in Micro- and nanoelectronic devices and devices. Dr. Reva's research spans multiple domains within nanotechnology and solid-state physics, with particular expertise in plasmonics, cluster physics, and positron behavior in solids. His work demonstrates a strong theoretical foundation combined with practical applications in nanoelectronics and materials science. His publications reveal a consistent research trajectory focusing on nanoscale phenomena, particularly the energy characteristics of metal clusters and plasmonic effects in nanostructures. Analysis of his 15 most recent publications shows a clear progression from fundamental studies of metal clusters and vacancies toward more applied research in plasmonics and nanoelectronics. His work bridges theoretical physics with practical applications in solar cell technology, catalysis, and biomedical applications. The research demonstrates strong international collaboration, with publications appearing in journals covering physics, materials science, and nanotechnology. Dr. Reva teaches courses including Process management in quality assurance, Metrological quality assurance of products, Computer Engineering and Programming, Microprocessor technology, and Programming technologies, reflecting his expertise in both theoretical and applied aspects of micro- and nanoelectronics.

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.

• Thermal Management
• Heat Transfer
• Electronics Cooling
• +۳ مورد دیگر

L. Winston Zhang is an Adjunct Lecturer in the Department of Mechanical Science and Engineering at the University of Illinois Urbana-Champaign (2022-present). He holds a PhD in Mechanical Engineering from UIUC (1996), an MBA from Marquette University (2001), and prior degrees from the University of Alaska Fairbanks and Central-South University of Technology. His professional career spans academia, industry, and entrepreneurship, including roles as President of Novark Technologies (Shenzhen, China since 2004), and engineering leadership positions at Modine Manufacturing and Thermacore Taiwan. Dr. Zhang's research focuses on advanced thermal management systems for electronics, heat transfer mechanisms in microfluidic devices, and innovative cooling technologies for high-power electronics. His work emphasizes practical applications in semiconductor cooling, battery thermal management, and high-heat-flux dissipation systems. He has authored over 40 refereed publications and held key industry roles such as Track Co-Chair for ASME InterPACK conferences and Board Member of the Taiwan Thermal Management Association. His recent teaching includes specialized courses on electronics cooling (ME 598 EC1) and applied heat transfer (ME 598 WZ1), recognized for excellence by UIUC students in 2023 and 2024. He maintains active industry connections through advisory roles and has received prestigious recognition including ASME Fellow status (2017).

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.

Nicolo Malaguttiمشاهده پروفایل

مدرس ارشد

• Medical applications of engineering
• Engineering modelling and simulation
• Medical devices
• +۳ مورد دیگر

Nicolo Malagutti is a Senior Lecturer at the Australian National University (ANU), affiliated with the School of Engineering. He also works as a biomedical engineer at the Canberra Sleep Clinic. His roles include course convenor for multiple engineering courses and leading research projects. Dr. Malagutti holds a Doctor of Philosophy (PhD) from ANU, awarded in 2013, with a thesis titled On the automatic closed-loop administration of medicinal drugs . His research interests focus on medical engineering applications biomechanical modeling medical device development systems physiology sleep science data-driven clinical analysis . He leads The Big Sleep ACT , a multidisciplinary initiative to create a sleep research dataset by curating clinical records from the ACT region. Current supervisory projects explore knee joint morphology for personalized surgery, artificial knee mechanics, and graph database-driven medical data inference. A professional highlight includes his role as course convenor for: ENGN2217 Mechanical Systems and Design ENGN4811 Biomechanics and Biomaterials ENGN6213 Digital Systems and Microprocessors Nicolo advises students on biomechanical and medical engineering research projects, emphasizing translational research between engineering and healthcare. He actively collaborates with the Canberra Sleep Clinic, integrating biomedical engineering expertise into clinical practice.

Erik Santisoمشاهده پروفایل

دانشیار

• Materials Science
• Computational Chemistry
• Molecular Modeling
• +۷ مورد دیگر

Erik Santiso is an Associate Professor & University Faculty Scholar at NC State University's Department of Chemical and Biomolecular Engineering, part of the College of Engineering. His research group focuses on computational discovery of advanced materials and chemicals using molecular modeling, metaheuristic sampling, and machine learning. Key applications include catalyst design, biomimetic polymers, green surfactants for CO₂/water systems, and polymeric materials with exceptional mechanical properties. The group also explores oxygen conductors for chemical looping combustion and microprocessor manufacturing through simulations. His work bridges theoretical and applied chemistry, emphasizing predictive tools like the DESPASITO package for SAFT EOS parametrization. Santiso has received the Sigma Xi Young Faculty Research Award, recognizing his contributions to computational materials science. The Santiso Research Group collaborates across disciplines to tackle challenges in energy, environment, and biomedical engineering. Lab/Team: Santiso Research Group Key Projects: Crystal nucleation modeling, peptoid structure prediction, CO₂ sequestration, and drug delivery systems Publications emphasize interdisciplinary approaches, with over 50 peer-reviewed articles since 2016. His research often integrates quantum chemistry, atomistic simulations, and mesoscopic methods to accelerate material discovery.

Nabil Yousifمشاهده پروفایل

دانشیار

• Computer Science Education
• Software Engineering Pedagogy
• Student Performance Assessment
• +۵ مورد دیگر

Nabil Yousif is an Associate Professor of Computer Science in the Department of Mathematics and Computer Science within the College of Arts and Sciences at Fort Valley State University , Georgia, USA. He has served the university continuously since 1997, advancing from Instructor to Assistant Professor and then to Associate Professor in August 2014. Education MS in Computer Science, Alabama A&M University, Huntsville, AL (Dec 1984) BS in Computer Science, Alabama A&M University, Huntsville, AL (May 1982) Research Interests Dr. Yousif’s scholarly work centers on computer science education , with particular emphasis on student performance assessment , project-based learning and curriculum development . His research explores how pedagogical interventions—such as microprocessor-based laboratories, software engineering techniques, and pre-assessment instruments—affect student outcomes in courses like data structures and systems analysis. Complementing these educational studies, he has investigated medical image denoising , texture segmentation and neural network modeling of migration , demonstrating an interdisciplinary reach that blends computer vision, machine learning and applied computing. Publications & Trends Across more than a dozen peer-reviewed articles and conference presentations (2002–2014), two dominant themes emerge. First, a sustained focus on CS pedagogy : six works evaluate factors influencing student success in programming, data structures and systems courses, often introducing novel assessment tools or project-centric curricula. Second, an applied computing strand addresses image processing , embedded systems and network simulation , frequently in collaborative, cross-disciplinary projects. These strands collectively highlight Dr. Yousif’s commitment to both advancing computer science education and leveraging computing solutions in engineering and health domains. Professional Certifications & Industry Experience Oracle Certified Associate (OCA) – 2007 Cisco Certified Network Associate (CCNA) – 2003 CompTIA Network+ Certified Professional – 2003 Prior to his academic career, Dr. Yousif accumulated over a decade of industrial experience, including senior programmer/analyst roles at the Saudi Agricultural Bank and RF design support at Integrated Wireless Communication, grounding his teaching in real-world practice. Collaboration & Outreach His publication record reveals extensive collaboration with colleagues such as Masoud Naghedolfeizi, Sanjeev Arora and Xiangyan Zeng, often integrating engineering contexts into computer science courses. While no dedicated laboratory or research group is explicitly named, the breadth of interdisciplinary projects suggests active engagement in cross-departmental initiatives at Fort Valley State University.