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Cüneyt BAYILMIŞView profile

Professor

• Internet of Things
• Computer Vision
• Wireless Networks
• +8 more

Prof. Dr. Cüneyt BAYILMIŞ is a Professor at Sakarya University's Faculty of Computer and Information Sciences, Department of Computer Engineering. He has been serving in this position since 2021, following his promotion from Associate Professor (2015-2021). His academic career at Sakarya University spans over 15 years, with previous appointments in the Faculty of Technology and Faculty of Technical Education. Dr. BAYILMIŞ earned his Doctorate in 2006 from Kocaeli University with a thesis on "Design of an interconnection unit that extends CAN segments using IEEE 802.11B clan," followed by a Master's degree in 2003 and Bachelor's degree in 2001, both from Sakarya University. His research spans multiple domains in computer engineering, with a strong focus on Internet of Things (IoT) , Computer Vision , Wireless Networks , and Cyber Security . His work demonstrates significant contributions to real-time systems, object detection, and lightweight cryptographic solutions for resource-constrained IoT devices. His recent publications show increasing interest in quantum neural networks for security applications and autonomous charging systems using computer vision. Dr. BAYILMIŞ's publication record reveals a consistent research trajectory focused on practical applications of networking technologies, with recent works emphasizing disaster management systems, D2D communication for public safety networks, and advanced techniques for IoT security. His research bridges theoretical concepts with real-world implementations, particularly in specialized domains like shore-to-ship charging and medical monitoring systems. As an academic advisor, Dr. BAYILMIŞ has supervised multiple graduate students, including doctoral candidate İSMAİL KIRBAŞ and master's students İBRAHİM NALBATCI, GAMZE DOĞALI, and ZUHAL YILDIRIM. His teaching portfolio includes courses on IoT applications, microprocessor systems, wireless network technologies, and computer engineering design. He has co-authored the book "Nesnelerin İnternet'i: Teori ve Uygulamaları" (2019) and contributed a chapter on "Yapay Zeka Dijital Sistemler ve Uygulamaları" (2021), demonstrating his commitment to knowledge dissemination in emerging technology fields.

Sotirios XydisView profile

Assistant Professor

• Hardware/Software Co-design
• High Level Synthesis
• Hardware Accelerators
• +7 more

Sotirios Xydis is an Assistant Professor in the Division of Computer Science at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), with prior faculty appointment at Harokopion University of Athens (2020-2023). He maintains ongoing collaboration with the Institute of Communication and Computer Systems (ICCS) since 2014 and previously served as an engineer at HEDNO (2015-2018) and postdoctoral researcher at Politecnico di Milano (2011-2013). His academic credentials include: BSc in Electrical and Computer Engineering, NTUA (2005) MSc in Techno-Economic Systems, NTUA (2011) PhD in Electrical and Computer Engineering, NTUA (2011) Dr. Xydis specializes in hardware/software co-design , energy-efficient hardware acceleration , and memory management for embedded and cloud-edge systems. His research bridges low-power circuit design , heterogeneous architecture optimization , and resource management frameworks , with particular emphasis on AI workloads and serverless infrastructures. Current projects target Edge AI accelerators (CONVOLVE), disaggregated memory systems, and LLM inference optimization through hardware-aware algorithms. Analysis of his 2023-2025 publications reveals three dominant trends: (1) Energy-efficient hardware accelerators for Edge AI using approximate computing techniques, (2) Memory/resource management innovations for disaggregated serverless environments, and (3) GPU/FPGA optimization for LLM inference through dynamic frequency scaling and predictive throttling. These works consistently address the power-performance tradeoffs in heterogeneous computing systems. His scientific recognition includes: Best Paper Award, IEEE/NASA/ESA AHS (2007) Best Paper Award, ACM PARMA (2013) Best Paper Award, ACM Computing Frontiers (2020) Hipeac Award at DAC (2019, 2020) Dr. Xydis has secured over 15 European/national research grants as Principal Investigator and Technical Coordinator, focusing on hardware acceleration frameworks and energy-efficient computing. His advising encompasses graduate research in hardware design and optimization, though specific student names aren't publicly listed. Current projects include CONVOLVE for Edge AI and CollectiveHLS for collaborative hardware synthesis. He is a core member of NTUA's Microelectronics Laboratory (Microlab) and collaborates with ICCS on hardware acceleration projects. His team develops frameworks like CollectiveHLS and throttLL'eM, with active participation in DATE, DAC, and ISCA conference communities.

Park Ki-hoView profile

Associate Professor

• Computer Architecture
• Embedded System Design
• IoT System Design
• +4 more

Dr. Park Ki-ho is an Associate Professor at the Department of Computer Engineering, Sejong University. His research focuses on computer architecture, embedded systems, IoT systems, and low-power design methodologies. Academic Background: PhD in Computer Science from Yonsei University Professional Experience: Senior Engineer at Samsung Electronics, Post-Doctoral Research Associate at University of Utah Research Interests: Develops innovative solutions for sensor hub design , memory systems , and machine learning hardware acceleration . Key areas include: Non-Volatile Memory (NVM) management 3D Integrated Circuit memory bandwidth optimization Intelligent Edge Device architectures Hybrid Cache Architectures Model Compression Techniques On-Device AI Processing Recent Publications demonstrate expertise in in-memory acceleration , sparse matrix representation , and large language model inference . His work bridges theoretical advancements with practical implementations for IoT and AI applications.

• Computer Engineering
• Fault-Tolerant Computing
• Asynchronous Logic
• +7 more

Andreas Steininger is an Associate Professor in the Department of Embedded Computing Systems at TU Wien. His primary research focuses on fault-tolerant computing, asynchronous logic, and dependable systems. He leads the Embedded Computing Systems group and serves as Director of the Curriculum Commission for Computer Engineering. His work emphasizes resilient hardware architectures, radiation effects in microelectronics, and timing domain interfacing. He has contributed to numerous projects with industry partners like Intel and TTTech Auto AG, addressing challenges in trustworthy autonomous systems and robust distributed algorithms. Key research interests include asynchronous circuits, clockless processors, and error detection mechanisms. He has over 50 publications in top-tier conferences and journals, including IEEE Transactions and ASYNC. Notable contributions include methodologies for mitigating single-event transients in QDI logic and fault-tolerant clock generation schemes. He teaches advanced courses in digital design, computer engineering, and scientific research methods. His projects span radiation-hardened ASIC design, metastability analysis in FPGAs, and secure IoT architectures. He actively collaborates with automotive and aerospace industries to develop solutions for embedded systems reliability. Recent work explores fault resilience in neural networks and energy-efficient asynchronous microprocessors.

• Image Processing and Recognition
• Infrared Thermography
• Digital and Microprocessor Electronics
• +1 more

Sławomir Gryś serves as a Professor in the Faculty of Electrical Engineering at Czestochowa University of Technology, holding PhD, DSc, and Engineer qualifications. He teaches core courses including Computer Architecture, Embedded Systems, and Image Processing and Recognition, with consultation hours on Mondays (10-11) and Wednesdays (11-12) at the university's JH Dąbrowskiego Street 69 campus. His academic credentials include: PhD DSc (Doctor of Science) Engineer (Eng.) Professor Gryś specializes in image processing and recognition, infrared thermography, digital and microprocessor electronics, and metrology. His research integrates hardware-software solutions for thermographic data analysis and embedded system design, with practical applications in electrical engineering measurement systems. He actively supervises diploma theses for engineering and master's students as evidenced by his coordination of 'Praca dyplomowa' and 'Praca dyplomowa inżynierska' projects across multiple academic years.

Jie GuView profile

Associate Professor

• Machine Learning Accelerators
• Energy Efficient Mixed-signal Computing
• AI Empowered Biomedical Devices
• +5 more

Dr. Jie Gu is an Associate Professor in the Department of Electrical and Computer Engineering at Northwestern University’s McCormick School of Engineering. His research focuses on energy-efficient computing architectures, machine learning accelerators, and AI-driven biomedical devices. Key areas include neuromorphic computing, edge computing systems, and hardware-software co-design for real-time applications. Education : Ph.D. Electrical and Computer Engineering (University of Minnesota), M.S. (Texas A&M University), B.S. (Tsinghua University) Labs : VLSI Research Lab His work emphasizes mixed-signal computing, with innovations in neural interface systems and physics-informed AI accelerators. Recent projects include headset-integrated brain-computer interfaces and scalable robotic control systems.

Kaveh ShamshiView profile

Assistant Professor

• Hardware Security
• Circuit Obfuscation
• Side-Channel Resilient Design
• +3 more

Dr. Kaveh Shamshi is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He joined UTD in 2020 after completing his Ph.D. at the University of Florida under Dr. Yier Jin. His research focuses on formal methods, hardware security (e.g., circuit obfuscation, side-channel resilience), and CAD tools for trustworthy hardware. He has received best paper awards at HOST’17 and GLSVLSI’18, and was a best paper candidate at DATE’19. Education: B.S., Sharif University of Technology (2014); M.S., University of Central Florida (2017); Ph.D., University of Florida (2020) Key Research Areas: IP protection via circuit obfuscation, side-channel-resistant designs, and beyond-CMOS circuit security His work integrates formal verification and machine learning to combat hardware threats like reverse engineering and supply chain attacks. Recent projects include SAT-based deobfuscation techniques and machine-learning attacks on logic locking schemes. Shamshi teaches courses in applied cryptography and computer architecture, mentoring Ph.D. students in hardware security. He leads a research group developing tools like IcySAT and AppSAT for circuit analysis, and contributes to open-source repositories (e.g., Bitbucket/GitHub projects like scadec and neosat). Current students include Dipali Jain, Guangwei Zhao, and Rajesh Datta.

Eduardo MirandaView profile

Professor

• Computer Music
• Artificial Intelligence
• Brain-Computer Music Interface
• +5 more

Professor Eduardo Miranda is a visionary academic and composer specializing in computer music, AI, and neuroscience. As Head of the Interdisciplinary Centre for Computer Music Research (ICCMR) at the University of Plymouth, he pioneers innovations like brain-computer music interfaces (BCMI) and quantum computing applications in music. His work bridges art and science, focusing on assistive technologies for people with disabilities and dementia through projects like RadioMe. He holds a PhD from the University of Edinburgh (1995), specializing in AI for music, and has supervised over 20 doctoral students globally. His research spans biocomputing, quantum music systems, and neurotechnology, with grants exceeding £5M. Notable collaborations include work with the BBC Concert Orchestra and Jarvis Cocker, and his opera Lampedusa uses particle physics data from the Large Hadron Collider. Research Interests: - AI and Machine Learning in Music - Quantum Computing for Creativity - Biocomputing and Living Organisms as Processors - Music Neurotechnology for Health - Ethical AI in Creative Industries - Historical Computing (e.g., Charles Babbage’s legacy) - Music-Based Palliative Care Projects & Impact: - RadioMe : AI-driven radio personalization for dementia patients. - QuTune : Quantum computing tools for musicians. - Music and the Brain research group at the Brain Research & Imaging Centre (BRIC). - Development of bio-inspired algorithms for composition and performance. Teaching: Courses in AI, quantum computing, unconventional computing, and music technology. Advising & Grants: Supervised 22+ PhD completions. Secured £5M+ in research funding. Doctoral alumni work globally in academia (e.g., McGill University) and industry (e.g., Arm microprocessors). Recognition: Featured in Forbes for quantum music innovation. Keynote speaker at Royal Institution and EG Conference. First classical composer to perform in the Metaverse.

• computer architecture
• VLSI design
• computer graphics
• +1 more

Dr. Paul Gillard is a retired Professor in the Department of Computer Science at Memorial University of Newfoundland. His research focuses on computer architecture, VLSI design, computer graphics, and wireless protocols. He is affiliated with the Centre for Digital Hardware Applications Research. Education: B.Sc. in Computer Science, Memorial University M.Sc. in Computer Science, Memorial University Ph.D. in Computer Science, Memorial University Teaching: He instructs courses including CS3724 (Computer Organization), CS3725 (Computer Architecture), CS4723 (Introduction to Microprocessors), CS4725/EE8863 (VLSI Design), and CS4751 (Computer Graphics). His course materials emphasize practical lab work, programming (C and assembly), and project-based learning. Research & Projects: Dr. Gillard leads the Centre for Digital Hardware Applications Research, focusing on digital hardware and embedded systems. His courses involve hands-on projects with microprocessors, sensors, and circuit design. Awards: No scientific awards explicitly mentioned. Labs & Teams: He oversees laboratory modules in microprocessor interfacing, embedded systems, and analog/digital electronics. Course labs include work with AVR microcontrollers, SPI protocols, and sensor integration.

Ulrich KremerView profile

Professor

• Compiler Design
• Parallel Computing
• Energy-Efficient Computing
• +3 more

Ulrich Kremer is a Professor and Department Chair at the Department of Computer Science, Rutgers University. He holds a Diplom in Informatik from the University of Bonn and a Ph.D. in Computer Science from Rice University under Ken Kennedy. His research focuses on compiler design , parallel computing , and energy-efficient systems for dynamic networks and autonomous robotics. Research Interests : Compilation techniques for heterogeneous architectures, power/energy management in embedded systems, programming models for resource-constrained networks, and cyber-physical systems. Scientific Awards : NSF Faculty Early Career Development (CAREER) Award European Community Research Fellowship (Human Capital and Mobility program) NSF-Funded Projects : Redesigning I/O Across Heterogeneous Systems (CNS) Unified Monitoring Approach for Hazard Workflows (CICI-TCR) Energy-Aware Redundancy Management (CSR-CNS) Resource and Space Aware Computing (CSR-EHS) Programming Architectures for Autonomous Underwater Vehicles (CSR-CSI) Laboratories : Leads the Power and Energy Management (EEL) laboratory and contributes to the Sarana resource-aware computing architecture.

Tolga AyavView profile

Professor

• Formal Methods for Software Testing
• Hardware Component and On-Chip System Tests
• Real-Time and Fault-Tolerant Embedded Systems
• +5 more

Professor Tolga Ayav is affiliated with the Department of Computer Engineering at Izmir Institute of Technology , where he has served as faculty since 2006. He received his BSc in Electrical and Electronics Engineering (1995) from Dokuz Eylül University, MSc in Computer Engineering (1999) from Izmir Institute of Technology, and PhD in Computer Engineering (2004) from Ege University. He was a researcher at INRIA Rhone-Alpes in 2005. Education BSc: Electrical and Electronics Engineering, Dokuz Eylül University (1995) MSc: Computer Engineering, Izmir Institute of Technology (1999) PhD: Computer Engineering, Ege University (2004) Research Interests include formal methods for software testing, hardware component and on-chip system tests, real-time and fault-tolerant embedded systems, blockchain applications, and machine learning. His work focuses on: Formal verification techniques Real-time system optimization Hardware-software co-design Blockchain-based security solutions Mathematical modeling in testing Recent Publications span topics like: Deep learning for livestock monitoring Blockchain in IoT security Fourier expansion in fault analysis Optimized data replication strategies Finite state machine testing Scientific Awards include: Best Paper Award at IEEE CBDCom 2016 for cloud data replication research Teaching includes courses such as: CENG 312: Computer Networks CENG 523: Advanced Topics in Real-Time Systems CENG 215: Circuits and Electronics Projects he has led include: TÜBİTAK TEYDEB: Spectrally Efficient Small Cell Base Station Design BAP: Dedicated Server for Physical Network Applications Lab Leadership : He leads the DCS Research Group at Izmir Institute of Technology, focusing on distributed computing and real-time systems.

• Modeling of multi-mass interconnected electromechanical systems
• Development and research of automation tools for technological complexes and mechatronic systems
• Electromechanical systems with microprocessor or microcontroller control
• +3 more

Олена Сергіївна Назарова є доцентом в Національному університеті "Запорізька політехніка", де працює з 2005 року. Вона має науковий ступінь кандидата технічних наук та академічне звання доцента. Її професійна діяльність охоплює наукові дослідження в галузі електромеханічних систем та викладання спеціалізованих дисциплін, пов'язаних з метрологією, мікропроцесорною технікою та математичним моделюванням. Освіта: Запорізький національний технічний університет, 2007 рік, спеціальність 8.092203 "Електромеханічні системи автоматизації та електропривод", кваліфікація "Магістр з електромеханічних систем автоматизації та електроприводу"; Запорізький національний технічний університет, 2007 рік, спеціальність 7.050104 "Фінанси", кваліфікація "фінансист". У 2012 році захистила кандидатську дисертацію за спеціальністю 05.09.03 - "Електричні комплекси та системи" на тему "Синтез і дослідження систем керування електроприводами холодильних станів з використанням комплексу взаємопов'язаних моделей". Наукові інтереси Олени Сергіївни охоплюють моделювання багатомасових взаємопов'язаних електромеханічних систем, розробку інструментів автоматизації для технологічних комплексів та мехатронних систем, електромеханічні системи з мікропроцесорним керуванням, а також методи вимірювання, контролю та діагностики промислового обладнання. Вона є керівником науково-дослідної роботи № 03611 (0121U112938) "Розробка та дослідження автоматизованих електроприводів та мехатронних систем". Аналіз публікацій Олени Сергіївни демонструє її глибоку експертизу в моделюванні електромеханічних систем, зокрема систем холодної прокатки, та розробці систем керування для електроприводів. Її роботи охоплюють широкий спектр від математичного моделювання до практичної реалізації систем керування, що свідчить про її здатність поєднувати теоретичні знання з практичними застосуваннями в промисловості, включаючи останні дослідження в галузі SMART-технологій для клімат-контролю в теплицях. 2006 – Лауреат премії «Програми підтримки вчених та обдарованої молоді» розробленої АКБ «Індустріалбанк» при підтримці виконавчого комітету Запорізької міської ради «За виняткові досягнення у науковій роботі» 2011 – Грамота Міністерства освіти і науки України 2013 – Почесна грамота Районної адміністрації 2015 – Почесна грамота Міської ради до 115-річчя ЗНТУ 2017 – Подяка Міністерства освіти і науки України 2018 – Подяка Запорізької обласної ради 2019 – Подяка Управління молоді, фізичної культури та спорту Запорізької обласної державної адміністрації Олена Сергіївна активно бере участь у міжнародних науково-технічних конференціях, включаючи «Електротехнічні і комп'ютерні системи: теорія і практика (ЭЛТЕКС-2019)», «Проблеми автоматизованого електропривода» та «Modern Electrical and Energy Systems». Вона публікується в міжнародних наукових журналах та має профілі в наукометричних базах даних (ORCID, Scopus, Web of Science, Google Scholar), що свідчить про її інтеграцію в глобальний науковий простір. Наукова діяльність Олени Сергіївни тісно пов'язана з лабораторіями кафедри електроприводу та автоматизації промислових установок, де вона проводить експериментальні дослідження та тестує нові методи керування електроприводами. Її робота сприяє розвитку сучасних технологій в галузі промислової автоматизації та підготовки висококваліфікованих фахівців для української промисловості.

• Hardware Systems
• Nanobiosensors
• Embedded Systems
• +6 more

Mohammed Abdallah is an Associate Professor in the Engineering Technology Department at SUNY Polytechnic Institute's College of Engineering. He previously served as program coordinator (8 years) and department chair (2 years). A senior IEEE member, he teaches courses in microprocessors, embedded systems, and digital design. His research centers on hardware systems for nanobiosensors, with interests in embedded systems, VLSI, and computer architecture. He has developed multiple courses including System on Chip Embedded Systems and Computer Architecture. Dr. Abdallah has been awarded competitive grants: an ASEE-ETD mini grant ($4000, 2013), three SUNY IITG grants ($6000 in 2013, $20,000 in 2014, $20,000 in 2017), and a SUNY PIP grant ($210,000) for a virtual/augmented reality classroom project.

Nagi N. MekhielView profile

Professor

• Computer Architecture
• Parallel Processing
• High Performance Memory Systems
• +5 more

Nagi N. Mekhiel is a Professor in the Department of Electrical and Computer Engineering at Toronto Metropolitan University (formerly Ryerson University), where he teaches courses including Digital Systems, Microprocessors, Advanced Computer Architecture, and Parallel Computing. His office is located in the George Vari Engineering and Computing Centre at 245 Church St., Toronto. Dr. Mekhiel received his B.Sc. in Electrical Engineering from Assiut University, Egypt (1973), M.A.Sc. from University of Toronto (1981), and Ph.D. in Computer Engineering from McMaster University (1995). Prior to academia, he worked as a Biomedical Engineer at Toronto's Hospital for Sick Children (1981-1987), Senior Hardware Engineer at Definicon Systems Corporation (1987-1990), and Senior Member of Technical Staff at Yarc System Corporation (1996-1998). His research focuses on solving fundamental computer industry challenges, particularly the processor/memory speed gap and scalability of parallel processors. His work spans computer architecture, parallel processing, high-performance memory systems, VLSI, and performance evaluation. Mekhiel's research has been cited in patents by major tech companies including IBM, Google, Apple, Intel, Microsoft, and others. Analysis of his recent publications reveals a strong trajectory toward quantum computing applications, orbital data processing architectures, and memory system innovations for big data applications. His work consistently addresses the processor/memory speed gap through novel architectural solutions, with increasing emphasis on quantum information representation and parallel time computing models. Intel Xeon+FPGA system access via Intel's Hardware Accelerator Research Program Senior Member of IEEE Dr. Mekhiel has supervised numerous graduate students who have co-authored publications with him in areas including facial recognition systems, quantum computing implementations, and parallel processing architectures. His research has received industry support through patent licensing agreements with Intellectual Ventures US. He leads a research group focused on advanced computer architecture solutions, with current projects involving quantum bit encoding, reconfigurable memory systems, and orbital network architectures for scalable multi-core processing.

Bassam ShaerView profile

Professor

• Embedded System Design
• VLSI Design and Test
• Digital Signal Processing
• +5 more

Dr. Bassam Shaer is a Professor in the Department of Electrical and Computer Engineering at the University of West Florida (UWF), affiliated with the Hal Marcus College of Science and Engineering. He has over 20 years of experience in academia, with a focus on embedded systems, VLSI design, and distance learning methodologies. Shaer earned his Ph.D. and M.S. in Electrical Engineering from the University of South Florida and a B.S. from the University of Florida. Educational Background: Ph.D. in Electrical Engineering, University of South Florida (Tampa, FL) M.S. in Electrical Engineering, University of South Florida (Tampa, FL) B.S. in Electrical Engineering, University of Florida (Gainesville, FL) Research Interests: Dr. Shaer's work spans embedded system design , VLSI testing and partitioning , analog/digital electronics , and distance-learning laboratory development . His innovations include energy conservation systems, robotic ball collection mechanisms, and intelligent tracking telescopes. He emphasizes practical applications of microcontrollers and FPGA-based solutions. Teaching: Shaer teaches courses such as Electronic Circuits , VLSI , Digital Computer Architecture , and Microprocessor Applications , integrating hands-on lab experiences. He has developed interactive distance-learning systems to enhance accessibility in engineering education. Professional Contributions: He has reviewed over 10 academic journals and contributed to projects like solar array positioning systems and LabVIEW-based plotter controls. His research often bridges theoretical engineering principles with real-world applications in robotics, renewable energy, and automated systems. Labs/Teams: He collaborates with initiatives like the Science Olympiad and Science Showcase , promoting interdisciplinary engineering education and innovation.