Find and connect with academic supervisors, professors, and scholars for your research journey.
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Professor
Masao Yanagisawa is a Professor at Waseda University's School of Fundamental Science and Engineering, with over 25 years of academic experience since 1998. An IEEE and ACM member, he holds a Doctor of Engineering degree from Waseda University.
Professor
Ramesh Pyndiah is a Professor at IMT Atlantique's Microwave Optics (OPT) Department, a leading institution in digital communications research. With over 30 journal papers and 100 conference publications, his work focuses on advanced channel coding techniques, particularly block turbo codes, Reed-Solomon codes, and joint source-channel coding. Research Interests : Digital communications, turbo coding, joint source-channel coding, OFDM, wireless sensor networks, optical wireless systems. Leadership : Director of Research & Innovation at IMT Atlantique, Deputy Director of COMIN Labs (2014-2017), Chair of IEEE ComSoc France Chapter (2000-2014). His research trends show a strong emphasis on error correction for high-efficiency wireless and optical systems, with recent work on LDPC codes , network coding , and low-complexity decoding . He has supervised 17 PhD students in areas like video coding, UWB systems, and DNA-inspired coding. Awards : 2001 SEE Blondel Medal, IEEE Senior Membership (2001), leadership roles in ICC, Globecom, and Turbo Code symposia. Patents : 17 innovations in high-frequency mixers, phase shifters, and error correction coding.
Adjunct Professor
Ruchir Puri is Chief Scientist at IBM Research, an IBM Fellow, and Vice President of IBM's Technical Community. He holds adjunct professor roles at Columbia University and was a visiting scientist at Stanford University. His expertise spans AI, quantum computing, and semiconductor technologies. He led IBM Watson as CTO and Chief Architect (2016-2019) and has authored over 120 papers and holds 70+ patents. Education: Recipient of the Distinguished Alumnus Award from IIT Kanpur. His research focuses on AI-driven systems, code intelligence, and hardware acceleration. Notable contributions include the CodeNet dataset and Granite code models. Awards include IEEE Fellow status and the 2014 Asian American Engineer of the Year. Publications emphasize AI applications in quantum computing, code generation, and analog hardware. His work bridges theoretical research with practical implementations in enterprise systems. Grants and projects include leadership in IBM's AI and research divisions, with a focus on scalable AI solutions and hybrid cloud architectures. Key Labs/Teams: IBM Research - Yorktown Heights Current Roles: IBM Fellow, Corporate Technology Lead
Professor
Rajat Moona is a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Kanpur (IIT Kanpur). Professor Moona's research interests focus on Computer Hardware and Architecture and VLSI Design . His work contributes to the advancement of computer systems design and semiconductor technology, with applications in high-performance computing and embedded systems. His research likely spans theoretical foundations and practical implementations in processor architecture, circuit design, and system optimization. He received his PhD from the Indian Institute of Science (IISc) Bangalore, one of India's premier research institutions. His office is located in room CS 221 at IIT Kanpur, where he can be reached at phone number 0512-259-7652/7638 or via email at moona@iitk.ac.in.
Associate Professor
Grzegorz Blakiewicz serves as an Associate Professor at the Department of Microelectronic Systems within the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology, where he maintains an active academic position in Building A of the faculty complex. His research expertise spans core areas of Microelectronics with specialized focus on: Integrated Circuit Design VLSI Architecture Semiconductor Device Physics Embedded System Development Microelectronic System Optimization Telecommunications Hardware Implementation Contact is available via institutional email at grzblaki@pg.edu.pl .
Professor
Professor Izzet Kale serves as the Head of the Department of Engineering at the University of Westminster and Director of the Applied DSP and VLSI Research Group, which he founded in the late 1980s. His leadership spans academic administration, cutting-edge research, and extensive industry collaboration with European, US, and Japanese corporations. Professor Kale's research portfolio is exceptionally diverse, spanning digital and analogue signal processing, mixed-signal silicon circuit design (both synchronous and asynchronous), sensor networks, GNSS receivers, biomedical signal processing, satellite on-board processing, and communication systems. His current research focuses on low-power DSP algorithms and devices applicable across communications, GNSS, sensors, and biomedical industries, with particular emphasis on Internet of Things applications. He leads innovative work in sensor networks for ground monitoring, UAV-based environmental sensing, and wearable health devices, while collaborating with the European Space Agency on efficient low-power reconfigurable channeliser algorithms for next-generation satellite systems. His publication record demonstrates remarkable consistency and impact across multiple domains, with research trending toward increasingly integrated solutions that bridge hardware design, signal processing algorithms, and real-world applications in healthcare, environmental monitoring, and satellite communications. Recent work shows particular strength in biomedical signal processing (especially ECG analysis), secure low-power circuit design, and advanced GNSS interference mitigation techniques. Professor Kale has served extensively in professional capacities including IEEE UK&I Section Committee membership for multiple years and currently serves as Chapter Chair for the CAS and I&M Chapters. He has contributed significantly as Associate Editor, Reviewer, and Special Session Organizer for IEEE and RIN journals, while maintaining a 100% track record in successful delivery of industry-sponsored research contracts. His academic mentorship has been substantial with 31 PhD students successfully graduated and 7 currently under supervision. His research has been supported by diverse funding sources including Sabancı University Nanotechnology Research Center, Defence and Security Accelerator, European Commission, British Council, and European Space Agency, reflecting the broad applicability and impact of his work across multiple sectors. The Applied DSP and VLSI Research Group under his leadership has established itself as a center of excellence for next-generation product-oriented applied research, consistently translating theoretical advances into practical implementations through strong industry partnerships and interdisciplinary collaboration.
Professor
Dr. Todd R. Andel serves as Dean of the School of Computing and Professor of Computer Science at the University of South Alabama. He previously held roles including Department Chair (2019–2023) and Associate Professor (2012–2015). His expertise spans cyber security, embedded systems protection, and network security protocols. Education: Ph.D. in Computer Science from Florida State University (2007), M.S.C.E. in Computer Engineering from Air Force Institute of Technology (2002), and B.S.C.E. in Computer Engineering from University of Central Florida (1998). Research focuses on side-channel analysis/defense, embedded systems security, and active cyber defenses. He leads the System Protection and Exploitation Research (SPERG) group, emphasizing malware analysis, program obfuscation, and formal methods in reverse engineering. The CFITS Center explores forensic technology and information security. Publications span 20+ years with notable work on MTD strategies, SCADA security, and IoT threats. No awards listed but maintains active research labs and educational toolkits for undergraduate research. Teaching includes courses on network security, computer architecture, and distributed systems. Advising details and grants are not explicitly listed.
Professor
Priyank Kalla is a Professor at the University of Utah in the Department of Electrical and Computer Engineering. His research focuses on formal verification , arithmetic datapath optimization , and Silicon Photonics . PhD from University of Massachusetts at Amherst (2002) MS from University of Massachusetts at Amherst (1998) B.E. from Birla Vishvakarma Mahavidyala (1993) His research integrates computer algebra and algebraic geometry with design automation for verifying complex digital circuits. Recent work includes thermal-aware synthesis of photonic components and formal verification of post-quantum cryptographic implementations. Publications span IEEE Transactions on CAD , VLSI-SoC , and SAT conferences , with 2025 publications on Boolean function analysis and photonic test-point selection . His ACM TODAES 2007 paper on finite ring algebra optimization received the best paper award. Awards include: Outstanding Presentation Award at ETS 2025 Best Paper at VDAT 2024 Honourable Mention at ITC India 2022 Teaching includes ECE/CS 5745/6745 on Hardware Verification and ECE/CS 3700 on Digital System Design. His research group has secured multiple NSF grants (2005-2019) and University of Utah SEED grants.
Academic
Anu Aggarwal is a Teaching Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Department of Electrical & Computer Engineering within the College of Engineering. Her research focuses on neuromorphic VLSI design, medical data analytics, and computational neuroscience, with applications in healthcare, neuro-engineering, and biomedical signal processing. Education: MBBS, Government Medical College, Patiala, India MPH, Harvard University BEng, University of Manchester, UK MS/PhD, University of Maryland, College Park Research interests emphasize neuromorphic systems, medical technology development, and neural circuitry modeling. She has contributed to VLSI implementations of hippocampal and auditory neural structures, EEG-based medical devices, and optogenetic therapies for spinal injuries. Her work bridges engineering and neuroscience to address clinical challenges such as stroke recovery and Alzheimer’s disease management. Notable articles (2015–2025) explore neuromorphic hardware, EEG connectivity analysis, and biomedically oriented neurotechnology. Recent trends include advancing wearable medical sensors, neuromorphic circuit design, and computational models of spatial navigation systems. Scientific Awards: Presidential Scholarship, Harvard University School Project Prize, University of Manchester Clark School Distinguished Graduate Fellowship, University of Maryland Teaching and advising: Courses taught include VLSI system design (ECE 425), digital IC design (ECE 482), and specialized neuromorphic VLSI design (ECE 498 AA). No formal student advisees listed.
Professor
Kees Goossens is Full Professor of Real-time Embedded Systems in the Electronic Systems group at Eindhoven University of Technology (TU/e). He leads the CompSOC Lab focused on predictable and composable embedded systems. His research spans composable virtualization, real-time systems, low-power design, and FPGA-based dynamic partial reconfiguration. Previously at NXP Semiconductors, he pioneered networks-on-chip research including the Aethereal NoC architecture. His research interests include: Composable and predictable embedded systems Real-time networks-on-chip (NoC) Memory management and controllers FPGA reconfiguration Hardware verification Low-power electronic design Publication analysis shows consistent focus on real-time systems, networks-on-chip, memory controllers, and embedded systems design, with recent expansion into machine learning applications for networking and error-correction coding. His work frequently addresses automotive and industrial control applications. Editorial contributions include: ACM TODAES editorial board (since 2009) Associate editor for Springer DAEM journal (since 2006) Guest editor for multiple NoC special issues He leads the CompSOC laboratory developing virtualized execution platforms for mixed-criticality systems. Current educational activities include courses on Systems-on-Chip, Embedded Systems, and Computer Architecture.
Professor
Seda Ogrenci is a Professor of Electrical and Computer Engineering and Computer Science at Northwestern University. She holds affiliations with the McCormick School of Engineering and leads the Ogrenci-Memik Lab. Her research focuses on thermal-aware design, edge AI/ML acceleration, and energy-efficient computing systems. She teaches courses like EECS 303 (Advanced Digital Design), EECS 355 (FPGA Design), and EECS 459 (VLSI Algorithmics). Education includes a PhD in Computer Science from UCLA, MS in Electrical and Computer Engineering from Northwestern, and BS from Bogazici University. Her work spans thermal management, 3D stacked memory systems, and reconfigurable architectures. She authored the book Heat Management in Integrated Circuits (2016) and holds patents on thermal sensors and energy harvesting. Recent projects include ML-based real-time control at the edge, FPGA-accelerated ML monitoring, and in-pixel AI for X-ray detectors. Awards include the NSF CAREER Award (2006) and EECS Best Teacher Award (2013). She advises students like Dawei Li and Yingyi Luo and contributed to grants on thermal-aware HPC systems.
Associate Professor
Dr. Dhananjay Phatak is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He joined UMBC in 2000 and previously served as faculty at SUNY Binghamton. He holds a Ph.D. in Computer Engineering from the University of Massachusetts and a B.Tech. from IIT Bombay. His research focuses on Cyber Security, Computer Arithmetic, Cryptology, and Networking, with notable projects including the SMartER Power Grid and the Spread Identity paradigm. His research interests span Cyber Security (including DDoS defense, hardware security, and SCADA systems), Network Architecture (e.g., dynamic address remapping), and VLSI implementations of cryptographic algorithms. He has received the NSF Career Award (1999) and led grants from NSF, GE, and Aether Systems. He collaborates with the Cyber Defense Laboratory (CDL) and has patented innovations in secure communications over power grids and network identity management.
Professor
Won Namgoong is a Professor in Electrical and Computer Engineering at the University at Albany (SUNY). His research centers on DSP-assisted analog/RF circuits for cognitive radios, high-speed links, and sensor systems. An NSF CAREER Award recipient, he previously worked at UT Dallas, USC, and Atheros Communications. Namgoong's innovations include digital distortion cancellation for SAW-less receivers, sub-Nyquist cognitive radios, and noise-suppressed PLL designs. He has served on editorial boards for IEEE Transactions on Circuits and Systems and the Journal of Signal Processing Systems. His industry-academia hybrid expertise bridges signal processing theory with practical RF/analog implementations.
Professor
Prof. Dr. Barış Bayram is a faculty member at Middle East Technical University (College of Engineering, Department of Electrical and Electronics Engineering). His research focuses on microelectromechanical systems (MEMS), diamond-based ultrasonic transducers, and medical imaging technology. He supervises the ULTRAMEMS research laboratory, which has secured multiple patents and produced numerous high-achieving students pursuing advanced degrees at institutions like Stanford, ETH Zurich, and Georgia Tech. Key research areas: MEMS, CMUT arrays, diamond electronics, acoustic crosstalk reduction Notable projects: ULTRALIGHT business idea, fiber optic MEMS microphone Major achievements: TÜBA GEBIP Award (2011), 4 US/EU/TR patents issued
Professor
Antonio Rubio Solá is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the High Performance Integrated Circuits and Systems Design (HIPICS) group. He holds an M.S. in Industrial Engineering (1977) and a Ph.D. in Electronic Engineering (1982), both from UPC. His research focuses on semiconductor technology evolution, integrated circuit design, and memristor-based neuromorphic systems. Key interests include nanoelectronics, energy-efficient computing, and biomimetic circuits. Rubio has contributed to advancements in memristive logic, graphene nanoribbon devices, and fault-tolerant circuit architectures. His work bridges theoretical research and practical implementation, with notable contributions in neuromorphic hardware, in-memory computing, and radiation-hardened electronics. Recent publications emphasize memristor applications in biological systems emulation, stochastic resonance phenomena, and energy-efficient data processing. Rubio actively participates in Spain’s neuromorphic technology initiatives and promotes sustainable microelectronics education through digital tools. Publications are accessible via UPC FenixDoc and the HIPICS e-prints repository. His research is driven by interdisciplinary collaboration, addressing challenges in next-generation computing paradigms and emerging technologies.
