جست‌وجوی استاد و پژوهشگر

• Optical Fibre Communications
• Passive Optical Networks (PON)
• Burst-Mode Receivers
• +۳ مورد دیگر

Gertjan Coudyzer is a Postdoctoral Researcher at Ghent University's Faculty of Engineering and Architecture , working within the Department of Information Technology (EA05) and affiliated with IMEC. His work focuses on optical receiver design, burst-mode signal processing, and passive optical network (PON) systems. Key research areas: Optical Fibre Communications, Burst-Mode Receivers, and Photonic Integrated Circuits Recent publications highlight advancements in high-speed optical transceivers , PAM-4 signaling , transimpedance amplifier design , and neuromorphic photonic functions . His work addresses critical challenges in next-generation PON systems, including upstream distortion mitigation , metro/access network convergence , and low-latency optical switching . Collaborative projects span hardware design, system integration, and optical-electronic co-design. As PhD supervisor for Cheng Wang (2021-2025), he leads research on Optical I/O Front-Ends for Low-Latency Optical Switched Networks . Funding sources include regional Special Research Fund grants for projects like Burst-mode partial response compensating techniques for next-generation optical access networks (2015-2019).

• Design for Testability
• Automatic Test Pattern Generation
• Electronic Design Automation
• +۳ مورد دیگر

Haluk Konuk is a Visiting Professor at the Faculty of Engineering, Özyeğin University. With a PhD in Electrical Engineering from the University of California, Santa Cruz (1996), he specializes in VLSI testing, Design for Testability, and Electronic Design Automation. He worked at Hewlett-Packard/Agilent Technologies and Broadcom Corporation for over 25 years, contributing to the development of critical internet infrastructure ASICs and processors. Since 2021, he has founded Palo Alto Test Technologies, focusing on advanced testing solutions. PhD in Electrical Engineering, University of California, Santa Cruz (1996) MS in Electrical Engineering, Case Western Reserve University (1989) BS in Electrical & Electronics Engineering, Boğaziçi University (1986) His research focuses on Design for Testability (DFT), Automatic Test Pattern Generation (ATPG), and Electronic Design Automation (EDA), addressing challenges in VLSI and CMOS circuit testing. His work includes modeling open-defects, fault simulation, and optimizing test efficiency for digital circuits. Haluk Konuk's publications span test compression, delay fault testing, and fault modeling, reflecting his long-term contributions to VLSI test methodologies. He holds 9 U.S. patents and has served on IEEE conference program committees. Fulbright Scholarship 9 U.S. Patents in VLSI Test Technology

Kun Qinمشاهده پروفایل

پژوهشگر

• Hardware/Software Codesign
• RISC-V Architecture
• Open-Source Hardware
• +۳ مورد دیگر

Kun Qin is a Doctoral Candidate and Research Associate at the Technical University of Munich , affiliated with the IH02 Chair of Computer Architecture and Operating Systems (CAOS) and the I10 Chair of Computer Architecture and Parallel Systems (CAPS). His work focuses on Hardware/Software Codesign , RISC-V Architecture , and Quantum Computing . Current affiliation: Department of Computer Engineering, School of Computation, Information and Technology Research areas: FPGA/ASIC design, quantum-based systems, open-source hardware Teaching: Courses on HDL, Computer Architecture, and Operating Systems (WS23/24–WS24/25) Kun actively participates in academic service as Web Co-Chair for the ACM International Conference on Computing Frontiers (CF'24, CF'25). His research includes FPGA acceleration for RTL verification and quantum control processors. Key scientific achievement: Best Poster Award at SERESSA (2023) . Publications span topics like RISC-V verification frameworks, FPGA-based timing systems, and quantum control processors for superconducting qubits.

Woo-Chan Parkمشاهده پروفایل

استاد

• Computer Engineering
• Graphics Processing Units
• Virtual Reality
• +۴ مورد دیگر

Woo-Chan Park is a Professor in the Department of Computer Science and Engineering at Sejong University, specializing in high-performance GPU hardware/software, VR/AR technologies, and AI-driven mobile systems. He leads the eXtended Reality Research Center and actively contributes to computational hardware innovation. Education Ph.D. (2000), M.S. (1995), B.S. (1993) from Yonsei University His research focuses on real-time graphics processing, embedded systems for VR/AR, and energy-efficient AI hardware. Recent work includes advancements in mobile GPU architectures and sound propagation algorithms for immersive environments. Key publication trends highlight expertise in GPU design, ray tracing optimization, and FPGA/ASIC implementations for VR/AR applications, with a strong emphasis on latency reduction and power efficiency. Scientific Awards Recognized in 'Hot start-up to watch: silicon 60' by EE Times Park founded SiliconArts Inc. in 2001 and maintains an active research laboratory at Sejong University, accessible via his personal website . His work spans 28 years (1996-2024) with 70+ research outputs.

Fabian Ihleمشاهده پروفایل

پژوهشگر

• Software-Defined Networking (SDN)
• P4 Programming Language
• Time-Sensitive Networking (TSN)
• +۳ مورد دیگر

Fabian Ihle is a Researcher & PhD Student at the Chair of Communication Networks , Department of Computer Science , University of Tübingen . He works on Software-Defined Networking (SDN) , P4 Programming Language , and MPLS Network Actions , focusing on Time-Sensitive Networking and Network Resilience . His research includes data plane programming , network protocol development , and high-speed switching using hardware like Intel Tofino. He has contributed to IETF Internet Drafts and presented at workshops including ReNeSys 2025 and IETF MPLS WG meetings. Academic Background : B.Sc. and M.Sc. in Computer Science from University of Tübingen (2021-2023) His publications address MPLS extensions , BIER-TE , and P4-based tools for traffic generation and runtime control. He actively participates in KuVS workshops and serves as a reviewer for journals like IEEE Transactions on Cognitive Communications .

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

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

Reinhard Rauscherمشاهده پروفایل

استاد

• Computer Science
• Digital Systems Design
• VLSI Design
• +۳ مورد دیگر

Prof. Dr. habil. Reinhard Rauscher is a retired professor at the Osnabrück University of Applied Sciences, affiliated with the Faculty of Management, Culture and Technology. He holds a Diplom in Informatics from the Christian-Albrechts-Universität Kiel (1982), a PhD in Computer Science from the University of Hamburg (1987), and a habilitation in Computer Science focusing on 'Design and Methodology of Application-Specific Digital Systems' (1998). His teaching responsibilities include courses such as Algorithms, Programming, and Databases. Research Interests: His work spans digital system design, VLSI architecture, CAD tools for hardware design, microprogramming optimization, and real-time image processing ASICs. Notable contributions include methodologies for microcode transformation verification, CAD systems for digital circuit design, and research on numerical stability in systolic arrays. Publications: Over 30 peer-reviewed papers in conferences like EUROMICRO, CONPAR, and journals such as Microprocessing and Microprogramming. His research emphasizes practical applications of theoretical computer science in hardware-software co-design. Grants & Labs: Involved in projects like CAMILOD (correctness-proven hardware design), BOSSDIS (automated hardware description transformation), and collaborations on ASIC development for image processing and SCHEME coprocessors. His work integrates algorithmic theory with embedded system implementation challenges.

• Analog Integrated Circuits
• Gm-C Filters
• MOSFET Characteristics
• +۳ مورد دیگر

Dr. Neculai Cojan is an Associate Professor at the Technical University of Iasi (TUIASI), Department of Electronics and Telecommunications. His academic role includes teaching analog integrated circuits and conducting research in advanced electronic circuit design. He holds a Ph.D. in Engineering and has been actively involved in industry-sponsored projects, such as the FSM project collaboration mentioned in his work. His research focuses on analog circuit design, particularly in Gm-C filters, MOSFET-based amplifiers, and oscillator development. Notable contributions include novel implementations of oscillation-based testing methodologies and variable gain amplifier architectures. His work frequently explores integration challenges in CMOS technologies and high-frequency signal processing. Recent publications (2010-2011) emphasize structured approaches to filter design, electrically controlled components, and top-down project methodologies. His research bridges theoretical analysis with practical applications in both academic and industrial contexts. Dr. Cojan’s technical expertise is further evidenced by his involvement in circuit testing innovations and the development of industry-relevant solutions. Despite no listed awards, his sustained output in high-impact circuit design areas reflects significant contributions to the field of analog electronics.

Christian Heidornمشاهده پروفایل

پژوهشگر

• Deep Learning
• Hardware-Software Co-Design
• Neural Networks
• +۵ مورد دیگر

Christian Heidorn is a Researcher at the Chair of Computer Science 12 (Hardware-Software Co-Design) within the Department of Computer Science at Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany. He has held this position since 2018 and teaches "Fundamentals of Computer Engineering" regularly across multiple semesters. His educational background includes an M.Sc. in Medical Engineering (2015-2018) and a B.Sc. in Medical Engineering (2012-2016), both from FAU. Born in 1989 in Dachau, Germany, he maintains an office in Room 02.128 at Cauerstr. 11, Erlangen. Dr. Heidorn's research focuses on the Application of Deep Learning on Tightly Coupled Processor Arrays and Invasive Computing . His work bridges medical engineering with computer architecture, particularly emphasizing neural network deployment on specialized hardware. His research projects include OpTC and KISS Invasive Computing, which optimize neural networks for embedded systems and processor arrays. His recent publications demonstrate a strong trend toward efficient neural network deployment on embedded systems, with emphasis on automotive applications (AURIX microcontrollers), hardware-aware neural network pruning, and processor array optimization. His work spans both theoretical neural architecture search and practical implementations for real-world applications. His notable scientific contributions include: Development of the OpTC toolchain for neural network deployment on automotive microcontrollers Hardware-aware evolutionary filter pruning techniques for CNNs ALPACA: An accelerator chip design for nested loop programs Efficient mapping of CNNs onto tightly coupled processor arrays Dr. Heidorn has supervised numerous Master's and Bachelor's theses on topics ranging from neural network compression to robotic hand control using EMG data and processor array optimization. His advising reflects his dual expertise in medical engineering and computer architecture, with many projects focusing on practical embedded applications of deep learning. He is actively involved in research projects related to invasive computing and tightly coupled processor arrays, with a particular focus on making deep learning more accessible on resource-constrained devices for automotive and medical applications.

James Garlandمشاهده پروفایل

مدرس

• Machine Learning
• Embedded Systems
• FPGA/ASIC Design
• +۴ مورد دیگر

Dr. James Garland is a Lecturer in the Department of Electronic Engineering and Communications at South-East Technological University (SETU), part of the engCORE academic unit. He holds a PhD in Computer Science from Trinity College Dublin (2022). His research focuses on micro-architectural implementations of deep learning algorithms in FPGA/ASIC/embedded systems, with applications in robotics and aerospace engineering. Key areas include defect detection via unmanned aircraft systems, image classification, and GAN-based enhancement for license plate recognition. Education: PhD in Computer Science (Trinity College Dublin, 2022). Research interests span machine learning optimization, embedded systems design, and aerospace robotics. His work emphasizes low-complexity hardware solutions for high-performance computing and energy efficiency. Recent articles explore topics like super-resolution GANs, zero-shot learning in pre-trained models, and spatial mapping for aircraft defect localization. He actively contributes to peer-reviewed journals, including Journal of Universal Computer Science and IEEE Access . Media coverage includes collaborations with the Irish Department of Aerospace and Mechanical Engineering. Teaching responsibilities include courses on artificial intelligence, control systems, and avionics fundamentals.

Khan Wahidمشاهده پروفایل

استاد

• Health informatics
• Wireless capsule endoscopy
• Wearable health monitoring
• +۵ مورد دیگر

Professor Khan Wahid is a faculty member in the Department of Electrical and Computer Engineering at the University of Saskatchewan , affiliated with the Division of Biomedical Engineering . His research focuses on health informatics, IoT infrastructure, medical imaging, and wearable health monitoring , with notable contributions to wireless capsule endoscopy, smart-city applications, and sensor systems. He holds a GCC Stars in Global Health Award (2013) and has secured funding from multiple government and institutional grants. Education: BSc, MSc, PhD in relevant fields (details not specified in text). Research Interests : Health informatics & smart-health systems IoT design/deployment and drone infrastructure Medical imaging reconstruction (CT/MRI) Wireless sensor networks and body area networks Quantum-dot cellular automata (QCA) for nanoelectronics FPGA/ASIC-based embedded systems Funding & Recognition : Harper Government investment in medical imaging (2014) UofS GCC Stars in Global Health Award (2013) Advising & Grants : Supervises graduate students in interdisciplinary projects (specific names not listed). Active in securing grants for IoT-enabled healthcare and agricultural sensing systems. Collaborates on projects involving smart-pill devices, fluorometers for cancer detection, and LiDAR-based plant phenotyping. Labs & Teams : Leads projects integrating biomedical engineering, IoT, and nanotechnology within the College of Engineering. Collaborations span academic and industrial partners for medical device innovation.

Philippe Pouliquenمشاهده پروفایل

عضو هیئت علمی

• Analog Circuit Design
• Mixed-Mode Integrated Circuits
• Signal Processing
• +۳ مورد دیگر

Philippe Pouliquen is an Assistant Research Professor in the Department of Electrical and Computer Engineering at Johns Hopkins University. His research focuses on the design of application-specific analog and mixed-mode integrated circuits. He has authored/co-authored over 60 articles, with three receiving Best Paper Awards. Education: MSE in Electrical and Computer Engineering (1990) and PhD (1997), both from Johns Hopkins University. Research interests include advanced integrated circuit design methodologies, analog/mixed-signal systems, and application-specific integrated circuits (ASICs). His work bridges theoretical circuit design principles with practical implementations in modern electronics. Despite extensive publication output, specific article details are not provided here. Awards highlight recognition for impactful contributions to integrated circuit research.

Ramesh Karriمشاهده پروفایل

استاد

• Hardware Cybersecurity
• Trustworthy Integrated Circuits
• Cyber-Physical Systems Security
• +۶ مورد دیگر

Ramesh Karri is a Professor and Chair of the Electrical and Computer Engineering Department at New York University Tandon School of Engineering. He co-founded the NYU Center for Cyber Security (CCS) in 2009 and co-directed it from 2016-2024. He is also a Fellow of the IEEE and has led initiatives such as the Embedded Systems Challenge (ESC), a red-blue team cybersecurity competition. Education: Ph.D. in Computer Science and Engineering, University of California, San Diego (1993) B.E. in Electrical and Computer Engineering, Andhra University (1985) Research Focus: His work centers on hardware cybersecurity, including trustworthy integrated circuits, cyber-physical systems, nano-enabled security, and biochip security. He pioneered security-aware CAD tools and has developed metrics for hardware trojan detection through initiatives like the Trust-Hub. Awards & Leadership: Recipient of the Humboldt Fellowship and NSF CAREER Award Editor-in-Chief of ACM Journal of Emerging Computing Technologies Leadership roles at IEEE conferences (ICCD, HOST, DFTS) Grants & Labs: Directs the Center for Advanced Technology in Telecommunications (CATT) and NYU CCS. His labs focus on additive manufacturing security, digital microfluidic systems, and AI-driven hardware design.

Jean-Louis DE BOUGRENET DE LA TOCNAYEمشاهده پروفایل

استاد

• Optics
• Liquid Crystals
• Optical Communications
• +۳ مورد دیگر

Jean-Louis DE BOUGRENET DE LA TOCNAYE is Head of the Optical Department at IMT Atlantique (Brest campus). His research spans optics, liquid crystals, spatial light modulators, and biomedical applications, with a focus on innovative optical systems. He leads developments in contact lens technologies for eye tracking, augmented reality, and medical diagnostics. Research Interests: His work integrates optical engineering with materials science and electronics, emphasizing applications in vision correction, human-computer interaction, and industrial optics. Key areas include tunable lenses, holographic systems, and wearable optoelectronics. Publications: Over 100 journal articles (1983–2023) show a progression from fundamental optics to applied biomedical devices. Recent publications focus on smart contact lenses for gaze tracking, laser-based vision augmentation, and advanced display systems, reflecting interdisciplinary innovation. Patents & Innovations: Holds numerous patents in optical devices, including dynamic gain equalizers, liquid crystal shutters, salinity sensors, and 3D display technologies. His inventions frequently target telecommunications, medical instrumentation, and industrial optics. Labs & Teams: Leads research groups in optical systems design and optoelectronics at IMT Atlantique, collaborating with industrial partners (e.g., VALEO, Eyes3Shut) on commercialization of optical technologies.

Michelle Welshمشاهده پروفایل

استاد

• Corporate Law
• Corporate Regulation
• Public Enforcement of Corporate Law
• +۵ مورد دیگر

Michelle Welsh is a Professor in the Department of Business Law and Taxation at Monash Business School, Monash University. She serves as Senior Deputy Dean (Faculty Operations) and previously led the Department as Head from 2016 to 2020. Her research focuses on public enforcement of corporate law, corporate accountability, and regulatory mechanisms to combat fraudulent practices like phoenix activity. Welsh has held significant roles, including President of the Australian Corporate Law Teachers Association (2015–2016) and membership in the European Corporate Governance Institute and the Law Council of Australia's Corporations Committee. Her academic background includes a PhD from Melbourne University, awarded the top thesis prize in 2009 for her work on civil penalties under the Corporations Act. She leads major research initiatives, such as the Monash University Network of Excellence project 'Enhancing Corporate Accountability' (2019–2023) and an ARC Discovery Project on Phoenix Activity (2014–2017). These projects collaborate with institutions like the National University of Singapore and Manchester University. Key research interests include corporate compliance, debt management firm regulation, gender diversity in corporate boards, and cross-border corporate governance. Welsh actively engages in international dialogues, presenting at institutions such as the University of Michigan and the Hong Kong Securities and Futures Commission. Her work contributes to UN Sustainable Development Goals, particularly fostering responsible consumption and production through corporate accountability. Notable awards include the Melbourne University Law Faculty Prize for her PhD thesis. Her grants and projects reflect a commitment to addressing systemic flaws in corporate law enforcement and promoting equitable business practices. Collaborations span legal, academic, and regulatory bodies, emphasizing practical policy impacts.