جست‌وجوی استاد و پژوهشگر

Frank Kagan Gürkaynakمشاهده پروفایل

پژوهشگر

• Energy-Efficient Microelectronics
• Cryptographic Hardware Security
• Digital Integrated Circuit Design
• +۴ مورد دیگر

Frank Kagan Gürkaynak is Director of the Microelectronics Design Center (DZ) and a Researcher at ETH Zurich's Department of Information Technology and Electrical Engineering (D-ITET). He leads the PULP open-source hardware project and works closely with Prof. Luca Benini in the Integrated Systems Laboratory (IIS). His academic journey includes BSc/MSc from Istanbul Technical University and a PhD from ETH Zurich. Roles: Microelectronics Design Center Director, Senior Scientist in IIS, VLSI course lecturer Research focuses on energy-efficient digital circuits, cryptographic hardware security, and open-source processor architectures. Key projects include EU-funded initiatives like European Processor Initiative (EPI), Convolve, and NeuroSoC, along with SNSF grants Tiny Trainer and PEDESITE. Active in teaching VLSI design, embedded systems, and essential engineering skills. Publications emphasize secure cryptographic accelerators, low-power processor clusters, and GALS system design methodologies. Contributions include energy-efficient ASICs for IoT to HPC domains and pioneering work in side-channel attack-resistant hardware.

Aristides Efthymiouمشاهده پروفایل

استادیار

• Microarchitecture of Computer Systems
• Digital Systems Design
• VLSI Circuits
• +۲ مورد دیگر

Aristides Efthymiou is an Assistant Professor at the Department of Computer Engineering and Informatics, University of Ioannina. He holds a PhD from the University of Manchester (2002) and has held academic positions at the University of Edinburgh (2004–2011) and research roles at the Institute of Microelectronics, National Center for Scientific Research 'Demokritos,' and Integrated Systems Development SA. His research focuses on microarchitecture, digital systems design, and VLSI circuits. Education: Bachelor's and postgraduate diploma in Computer Science, University of Crete (1993–1995) PhD in Computer Science, University of Manchester (2002) Research interests include approximate computing, visible light communications (VLC), and energy-efficient circuit design. He is a member of the VLSI Systems and Computer Architecture Laboratory (VCAS), contributing to projects like the Artemis Program on supply chain traceability. His work spans over 25 international publications, emphasizing hardware optimization and signal processing in VLC systems. Awards: None explicitly mentioned. Lab and Team: Leads the VCAS lab, collaborating with faculty members like Professors George Tsiatouchas and Chrysovalantis Kavousianos. Supervises doctoral candidates in areas like approximate multipliers and VLC systems.

Thomas Van Den Driesمشاهده پروفایل

پژوهشگر

• Image Sensors
• CMOS Chip Design
• Fluorescence Lifetime Imaging
• +۳ مورد دیگر

Thomas Van Den Dries is a postdoctoral researcher at the Vrije Universiteit Brussel (VUB), affiliated with the Department of Electronics and Informatics (ETRO). His research focuses on developing sub-nanosecond time-gated image sensors (Current-Assisted Photonic Samplers, CAPS) for real-time fluorescence lifetime imaging applications, particularly in medical diagnostics and surgical guidance. He holds a PhD in micro- and nano-electronics from VUB (2023) and an M.Sc. in Electrical Engineering (2018), both with highest honors. Key research areas include image sensor design, CMOS chip technology, and photonics. He has contributed to projects like CoDaFlight (2022–2026), focusing on fluorescent light imaging. His work spans preclinical studies using animal models, endoscopy imaging systems, and novel fluorophore development for in vivo applications. Affiliations: VUB, ETRO Department, CoDaFlight Project Grants: Active EUAR96 grant (CoDaFlight) Labs/Teams: Collaborates with Hernot, Lapauw, and Ingelberts on FLIM systems Notable awards include the BrEA Prize (2018), IMEC’s Best Master Thesis (2018), and SPIE Europe Innovation Award (2022). He has authored over 20 peer-reviewed publications and contributed to conferences on biomedical imaging and sensor technology.

Wasim Ahmadمشاهده پروفایل

مدرس ارشد

• Signal Processing
• Machine Learning
• Data Analytics
• +۹ مورد دیگر

Wasim Ahmad is a Senior Lecturer (Associate Professor) in Signal Processing and Machine Learning at the School of Engineering, University of Glasgow. He earned his PhD from the University of Surrey (2011) and held prior academic positions at the University of Hull (2013–2015) and the University of Surrey (2011–2013). He is part of the Communication, Sensing and Imaging (CSI) research group at Glasgow, focusing on applications of signal processing and machine learning in sound modeling, robot audition, healthcare technologies, and IoT-based systems. Education: PhD in Engineering from the University of Surrey (2011), followed by postdoctoral roles at Hull and Surrey before joining Glasgow in 2015. Research Interests: His work spans signal processing for assistive technologies, teleoperation systems, activity recognition, and IoT-enabled healthcare monitoring. He has pioneered projects like radar-based indoor navigation for visually impaired individuals and emotion recognition for human-robot interaction. Publications: Over 40 peer-reviewed articles, with recent focus on edge computing optimization, immersive VR education, and teleoperation interfaces. His work bridges theoretical advancements with practical applications in robotics, healthcare, and education. Grants: Recipient of the University of Glasgow Learning and Teaching Development Fund (2017–2018) for student-staff partnership in assessment innovation. Teaching: Leads courses on real-time systems, microelectronics, and programming, emphasizing hands-on engineering projects. Supervised MSc/PhD students in telerobotics and edge computing. Labs/Teams: Active contributor to the CSI group, collaborating on projects involving sensor networks and AI-driven systems.

Shamin Sadrafshariمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Mechanical Engineering
• Neural Engineering
• +۳ مورد دیگر

Shamin Sadrafshari is a Researcher at the University of Bath, affiliated with the Department of Mechanical Engineering. He is part of the Foundry: Centre for Digital, Manufacturing & Design and the Centre for Bioengineering & Biomedical Technologies (CBio), as well as the Bath Institute for the Augmented Human. His research focuses on biomedical engineering, neural interfaces, and energy harvesting technologies. Current projects include improving tactile display systems through the IAA-funded 'Improving User Experience on Sensory Substitution Tactile Display Pad' (2023-2023). Research interests span urinary bladder physiology, neural signal processing, piezoelectric energy harvesting, and MEMS-based actuators. His work bridges mechanical engineering with bioelectronics, focusing on applications like spinal cord injury rehabilitation and industrial tool monitoring. Notable contributions include advancements in tool condition monitoring using machine learning, velocity-selective neural processing systems, and vibration-based energy harvesting designs. Collaborations span veterinary medicine, microelectronics, and human-computer interaction. Ongoing work aims to develop neural interfaces for bladder control systems and optimize manufacturing processes through real-time tool wear analysis. His research portfolio includes 15 peer-reviewed publications since 2011, with recent focus on biomedical device design and smart manufacturing solutions. Current affiliations emphasize interdisciplinary innovation in augmented human technologies and bioengineering.

Bori Hunyadiمشاهده پروفایل

استادیار

• Signal Processing Systems
• Microelectronics
• Electrical Engineering
• +۳ مورد دیگر

Bori Hunyadi is an Assistant Professor in the Signal Processing Systems (SPS) group at the Department of Microelectronics, Delft University of Technology (TU Delft), within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). She is actively involved in shaping a supportive and inclusive academic culture. Her research interests lie primarily in signal processing systems and microelectronics, with a strong emphasis on human-centered academic leadership. She advocates for empathetic supervision, psychological safety, and inclusivity, particularly for women and international staff in a male-dominated Dutch academic environment. Her interests extend to improving workplace culture, minimizing stress and burnout, and fostering motivation through respect rather than fear. Bori emphasizes the importance of bringing one’s whole self to work and being accepted with one’s unique background and challenges. She draws inspiration from her PhD advisor, who cultivated a safe and accommodating research group atmosphere. Her recent reflections highlight the linguistic and cultural barriers faced by non-native Dutch speakers and women, where direct communication styles may be misinterpreted. She is concerned about the underrepresentation of women in senior academic roles, noting that she is among the older female staff members despite being under 40. However, she observes a positive shift in gender balance among newer hires. Looking forward, she hopes to attract more young women into electrical engineering by showcasing its societal impact and diverse career opportunities. Assistant Professor, Signal Processing Systems (SPS) Department of Microelectronics, TU Delft Focus on inclusive leadership and academic well-being

Kris Seunarineمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Materials Science and Engineering
• Printed Electronics
• +۱۴ مورد دیگر

Dr. Kris Seunarine is a Research Fellow in the Department of Materials Science and Engineering at Swansea University, Faculty of Science and Engineering. He contributes to the GENERATION project, focusing on sustainable, self-powered interactive technologies. With a PhD in Semiconductor Technology from the University of Edinburgh and over 25 years of experience in both industry and academia, his work spans electronics, photonics, and human-computer interaction. His research interests lie at the intersection of Materials Science , Energy Harvesting , and Human-Centered Design . He explores how novel materials—especially printed and photovoltaic materials—can power and enhance interactive systems. His expertise includes VLSI design, bioelectronics, carbon composites, and signal integrity, with a recent emphasis on sustainable IoT and smart surfaces. His recent publications, presented at leading venues like CHI and NordiCHI , demonstrate a trend toward community-driven design , energy-autonomous interfaces , and real-world performance of perovskite solar cells . These works highlight applications in aging populations, slum communities, and ambient-powered communication displays. Dr. Seunarine is available for postgraduate supervision and actively contributes to interdisciplinary research. His scientific contributions are reflected in impactful work on self-powered IoT, though no specific awards or fellowships are listed. He advises on or leads projects involving energy-harvesting materials and has collaborated widely across engineering and HCI domains. His work is supported through research grants associated with the GENERATION project, though specific funding sources are not detailed. He is affiliated with research teams focused on sustainable digital materials and human-centered innovation. He maintains a presence on Google Scholar and ResearchGate , and is based in the Engineering East Building at Bay Campus, Swansea University.

Priscila Campioni Rodriguesمشاهده پروفایل

پژوهشگر

• Cancer Research
• Tissue Engineering
• Cell Modulation
• +۷ مورد دیگر

Priscila Campioni Rodrigues is a researcher at the Microelectronics Research Unit within the Faculty of Information Technology and Electrical Engineering at the University of Oulu, Finland. She holds a PhD in Pathology and Oral Medicine from the State University of Campinas (UNICAMP), Brazil, awarded in 2015. Her research integrates molecular and cell biology with physics and nanomaterials to develop advanced bioelectronic systems. Key interests include in vitro models , cell stimulation platforms , magnetic field effects , cancer biology , tissue engineering , and cell modulation . Her work focuses on understanding how physical stimuli influence cellular behavior, particularly growth, migration, and molecular synthesis. The research keywords associated with her work reflect a strong interdisciplinary focus: Cell Biology Cell Signaling Molecular Biology Medicine and Health Sciences Biomedicine Tissue Technology Medical Biotechnology Technology Dr. Rodrigues is part of Gabriela Lorite’s interdisciplinary group, which aims to create innovative tools for biomedical applications, such as biosensors and stimuli-responsive scaffolds. She bridges life sciences with engineering to advance bioelectronic solutions. There is no public mention of scientific awards, student advisement, or specific grants in the provided text. No publications are listed.

Suraj Bhamraمشاهده پروفایل

مدرس

• Electrical Engineering
• Computer Engineering
• Embedded Systems
• +۳ مورد دیگر

Suraj Bhamra is a Lecturer in the Department of Electrical and Computer Engineering at the College of Engineering and Computer Science, University of Michigan-Dearborn. His work focuses on foundational aspects of electrical and computer engineering education. His research interests span key areas in Electrical Engineering and Computer Engineering , including Embedded Systems Software Development Hardware Design Microelectronics Digital Circuits Signal Processing Contact: ssbhamra@umich.edu

Jörg Hübnerمشاهده پروفایل

دانشیار

• Microtechnology
• Nanotechnology
• Integrated Optics
• +۷ مورد دیگر

Jörg Hübner is an Academic Director at DTU Nanolab (Technical University of Denmark) and Director of the National Center for Micro- and Nanofabrication (DTU Danchip). He previously served as Deputy Director at DTU's Department of Micro- and Nanotechnology (2005–2009) and held multiple academic and industrial roles. PhD in Photonics (Technical University of Denmark, 1998) M.Sc. in Electrical Engineering (University of Stuttgart, 1994) His research focuses on: Micro- and nanofabrication techniques Optical device development (gratings, sensors) Surface engineering for biofilm applications Advanced plasma etching methods Graphene growth and transfer technologies Recent publications emphasize semiconductor nanodevice fabrication, optical component optimization, and biomedical surface engineering. Collaborations span Denmark, France, and the U.S. Notable affiliations include: DTU Nanolab DTU Danchip Harvard Business School (executive education)

Vitaliy Zhurbenkoمشاهده پروفایل

دانشیار

• Microwave Technology
• Electromagnetic Systems
• Magnetic Resonance Imaging (MRI)
• +۸ مورد دیگر

Vitaliy Zhurbenko is an Associate Professor at the Technical University of Denmark (DTU) , affiliated with the Department of Space Research and Technology . His work bridges applied electromagnetics and magnetic resonance technology , with a focus on microwave and millimeter-wave systems for biomedical and security applications. Key research areas include: Microwave sensing and imaging systems Antenna and passive circuit design Hyperpolarization and magnetic resonance technology Electromagnetic metamaterials Microwave instrumentation for healthcare and security His recent publications highlight advancements in high-impedance MRI coils , cryogenic RF components , and LC-balun topologies for complex impedance matching, reflecting his expertise in integrating microwave engineering with medical imaging . Awards include the Top Downloaded Paper in Microwave and Optical Technology Letters (2018-2019) and coauthorship on works shortlisted for the Young Scientist Prize (2017) and Best Paper Pearl Award (2009). He serves as a main supervisor for PhD students and collaborates with institutions like the European Microwave Association and IEEE Microwave Theory and Techniques Society . His contributions align with UN Sustainable Development Goals related to healthcare innovation and advanced technology.

• Microelectronics
• Nanotechnology
• Microsystems
• +۲ مورد دیگر

Dr. Assel Baibek serves as a Researcher at the University of Edinburgh's School of Engineering, affiliated with the Integrated Micro and Nano Systems research institute. Her work focuses on advancing micro and nanoscale technologies within the university's engineering framework. Her primary research domains include Microelectronics, Nanotechnology, Microsystems, Nanosystems, and Integrated Circuits, emphasizing the design and application of miniaturized electronic systems for next-generation devices. This interdisciplinary work bridges electrical engineering, materials science, and semiconductor physics. As part of the Integrated Micro and Nano Systems research group, she contributes to collaborative projects exploring nanofabrication techniques and microsystem integration, supporting the institute's mission to pioneer innovations in micro and nanotechnology applications.

• Machine Learning
• Cloud Computing
• Fault Diagnosis
• +۳ مورد دیگر

Chao Yin is a researcher at Shanghai University , Department of Computer Engineering and Science. His work spans multiple domains including Machine Learning, Cloud Computing, Fault Diagnosis, and Supply Chain Optimization. Key research areas: Machine Learning , Cloud Computing , Quantum Computing , Supply Chain Systems , Network Security Scientific Contributions (2024-2025): Developed heterogeneous graph neural networks for automotive supply chain analysis Created MSDF-VAE cloud-edge fault diagnosis framework using transfer learning Proposed quantum metrology methods with Heisenberg-limited precision Designed LARP pseudonym protocol for V2X communication Optimized fog computing resource scheduling with hybrid metaheuristics Prior Work (2012-2023): Contributed to fluid animation feature preservation from single images Developed label distribution learning for facial age estimation Designed erasure coding storage systems for big data Created multi-agent manufacturing networks in cloud environments

• Quantum Computing
• Quantum Information Science
• Superconductivity
• +۳ مورد دیگر

Vladimir Pesic is a Researcher at the École Polytechnique Fédérale de Lausanne (EPFL) , affiliated with two laboratories: the Laboratoire d'architecture quantique (AQUA) and the Laboratoire d'information quantique avec supraconducteurs (SQIL) . He works within the School of Engineering and the School of Basic Sciences, focusing on quantum architecture and superconducting quantum information systems. His contact email is vladimir.pesic@epfl.ch . His research interests span quantum computing, quantum information science, and superconductivity, with a particular emphasis on developing quantum architectures and exploring superconducting technologies for quantum information processing.

Chang-Yong Namمشاهده پروفایل

استاد مدعو

• Semiconductor Materials Processing
• Atomic Layer Deposition (ALD)
• Atomic Layer Etching (ALE)
• +۷ مورد دیگر

Chang-Yong Nam is a Senior Scientist and Group Leader of the Electronic Nanomaterials Group at Brookhaven National Laboratory's Center for Functional Nanomaterials. He also holds Adjunct Professor positions at Stony Brook University (Department of Materials Science and Chemical Engineering) and University of Texas at Dallas (Department of Materials Science and Engineering). His research focuses on semiconductor materials processing, atomic layer deposition, and hybrid organic-inorganic materials for microelectronics and energy applications. Ph.D. in Materials Science and Engineering (University of Pennsylvania, 2007) M.S. in Materials Science and Engineering (KAIST, 2001) B.E. in Metallurgical Engineering (Korea University, 1999) Research interests include advanced patterning technologies for next-generation microelectronics, EUV lithography, and low-dimensional semiconductor devices. His work bridges fundamental material science with practical applications in nanotechnology and energy conversion systems. Scientific achievements include the DOE Accelerate Initiative Award (2023), Battelle Inventor of the Year recognition (2022), and multiple Spotlight Awards from Brookhaven National Laboratory. He has secured significant funding for projects like the Angstrom Era Semiconductor Patterning Material Development Accelerator. As an inventor of multiple patents and author of over 100 scientific publications, his work has direct implications for semiconductor manufacturing innovation. He actively mentors graduate students and contributes to international scientific collaborations, including projects like the Electron-Ion Collider and Lunar Surface Electromagnetics Experiment-Night.