Carl-Mikael Zetterling is a Professor and Head of Department at Kungliga Tekniska Högskolan (KTH) in Stockholm, Sweden, affiliated with the School of Electrical Engineering and Computer Science (ICT) and the Electronics and Embedded Systems department. His research focuses on process technology and device design for high-temperature, high-power silicon carbide (SiC) electronics, expanding into SiC-based analog and integrated circuits. He has authored over 300 publications, including books on SiC process technology and plagiarism prevention. Dr. Zetterling has held leadership roles such as Vice Dean of the School of ICT (2013–2017) and teacher representative on KTH's faculty board. He has collaborated internationally at Stanford University, Kyoto University, and Kyoto Institute of Technology. His work addresses applications in extreme environments, including Venus exploration and fusion reactor monitoring, with a focus on radiation tolerance and thermal resilience. The 15 most recent publications highlight trends in wide bandgap semiconductors, gamma irradiation effects on SiC devices, and high-temperature integrated circuits. His articles span structural health monitoring with machine learning, novel SiC diode designs, and radiation-hardened electronics. Key contributions include advancements in self-aligned contacts, trench MOSFETs, and compact modeling for extreme conditions. While no formal awards are listed, his roles in technical program committees (TMS Electronic Materials Conference, IEEE SISC Conference) and editorial work demonstrate significant academic service. He teaches courses ranging from digital design to high-temperature electronics, overseeing degree projects in embedded systems, communication, and nanotechnology.
Montek Singh serves as an Associate Professor and Associate Chair for Academic Affairs in the Department of Computer Science at the University of North Carolina at Chapel Hill. His research focuses on high-performance and energy-efficient digital systems with particular emphasis on asynchronous and mixed-timing circuit design. Dr. Singh received his Ph.D. in Computer Science from Columbia University in 2002 and his B.Tech. in Electrical Engineering from IIT Delhi, India, in 1993. His primary research interests span high-performance and low-power digital systems, with specialization in asynchronous or clockless and mixed-timing integrated chip design. His work encompasses circuit design methodologies, CAD tools for automated synthesis, analysis and optimization techniques. He has also explored applications in energy-efficient mobile graphics hardware, secure chip design for computer security, and design challenges in emerging computing technologies. His research has practical applications in industry, with work transferred to companies including IBM, Boeing, and Handshake Solutions. Analysis of Dr. Singh's publications reveals a strong focus on asynchronous circuit design spanning two decades. His work covers fundamental pipeline architectures (MOUSETRAP), high-speed asynchronous systems, latency-insensitive design methodologies, and practical applications in graphics hardware and mobile devices. The research demonstrates consistent innovation in making asynchronous design more practical for real-world implementation while addressing performance, power efficiency, and testing challenges. His notable scientific achievements include: Best Paper Award at the 6th IEEE Intl. Symp. on Adv. Res. in Async. Circ. and Syst. (ASYNC-2000) Best Paper Finalist at the 8th IEEE Intl. Symp. on Async. Circ. and Syst. (ASYNC-02) Dr. Singh has secured significant research funding including participation in the DARPA CLASS Program (led by Boeing) in 2005, where he collaborated with Philips/Handshake Solutions to develop an industrial-strength automated synthesis flow for high-speed asynchronous systems. His research has strong industry connections and practical applications, with technology transferred to major companies including IBM and Boeing. He has also organized major academic events such as the International Symposium on Asynchronous Circuits and Systems 2009 (ASYNC 2009) at UNC Chapel Hill. Dr. Singh leads research in asynchronous systems design with connections to industry partners and practical applications. His work has been featured in prominent media outlets including The New York Times, International Herald Tribune, and Technology Review Magazine, highlighting the significance of clockless design approaches as traditional synchronous design approaches face limitations.
Prof. Johannes Zeiher is a Professor at Ludwig Maximilian University (LMU) and leads the independent research group Quantum Matter Interfaces . His work focuses on studying quantum systems of laser-cooled atoms coupled to optical resonators, aiming to advance quantum error correction and quantum many-body physics. He secured €3.3 million from Germany's BMBF for the SNAQC project on scalable neutral atom quantum computing. Research interests include quantum interfaces between atoms and photons, Rydberg arrays in optical tweezers, and hybrid architectures for quantum technologies. His group explores non-destructive measurements, feedback mechanisms, and entanglement generation in quantum systems. Key experimental tools include high-resolution microscopy and resonator-coupled systems. Prof. Zeiher's lab is located at the Max Planck Institute of Quantum Optics, collaborating on cutting-edge quantum technologies. He holds dual affiliations with LMU and the MPQ, advancing both theoretical and experimental frontiers in quantum computing and quantum simulation. His work bridges atomic physics, quantum optics, and condensed matter systems to realize practical quantum devices.
Dr. Hafizul Asad serves as a Lecturer in Dependability at City St George's, University of London, leveraging his PhD in Electrical Engineering (City University of London, 2016) and MS in Aerospace Engineering (University of Belgrade, 2008) to advance cybersecurity and formal verification research. His expertise bridges critical infrastructure protection and cyber-physical systems security, with significant contributions to IoT/IIoT security frameworks. His educational journey includes: PhD in Electrical Engineering, City, University of London (2012-2016) MS in Aerospace Engineering, University of Belgrade, Serbia (2007-2008) BSc in Electrical and Electronics Engineering, University of Engineering and Technology Peshawar, Pakistan (1999-2003) Asad's research centers on formal verification of hybrid systems and verifiable intrusion detection mechanisms for interconnected environments. He pioneers provably robust security architectures for IoT/IIoT systems, emphasizing mathematical verification to ensure system resilience against cyber threats. His work integrates diversity principles to create defense-in-depth strategies for critical infrastructure, with recent focus on wind turbine cyber-safety and industrial control system protection. Analysis of his 15 most recent publications (2014-2025) reveals an evolution from aerospace applications and analog circuit verification toward cutting-edge cybersecurity for cyber-physical systems. His 2023-2025 work demonstrates increasing specialization in IoT security and formal methods, while maintaining foundational contributions to diversity-based security architectures established in his 2015-2018 research. No scientific awards or prizes are documented in the provided materials, though he maintains professional standing as a British Computer Society member and Higher Education Academy Associate Fellow. Details regarding doctoral student supervision or specific research grants are not disclosed in the source text. His professional trajectory indicates significant project involvement, including the D3S security project at City University of London (2015-2018) and Rolls-Royce-funded Future Systems Simulator development at Cranfield University (2018-2019), though current laboratory affiliations remain unspecified.
Prof. Danny Dolev is a distinguished academic holding the Berthold Badler Chair in Computer Science at The Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering. He is an ACM Fellow and IEEE Fellow. His research focuses on distributed computing, fault-tolerant systems, algorithms, and secure protocols. He has held leadership roles, including Director of his school (1999–2002) and Chair of the Israeli National Committee for Information Technology (1994–1998). Education: B.Sc., The Hebrew University of Jerusalem, 1971 M.Sc., Weizmann Institute of Science, 1973 PhD., Weizmann Institute of Science, 1979 Research Interests: Danny Dolev's work spans distributed algorithms, Byzantine fault tolerance, consensus protocols, and hardware algorithms. His contributions include groundbreaking research on self-stabilizing systems, secure communication, and fault-tolerant clock synchronization. His HEX and Chronos protocols exemplify innovations in scalable synchronization and network security. Publications: His recent work emphasizes Byzantine agreement, asynchronous fault tolerance, and game-theoretic distributed systems. Key papers address optimal resilience in consensus algorithms and secure multi-party computation. Awards: ACM Fellow (2010) IEEE Fellow (2004) Grants & Leadership: Member of the Scientific Council, European Research Council (2010–2014) Chair of Israel's National Committee for Information Technology (1994–1998) Leadership roles at IBM Almaden Research Center (1987–1993) and Stanford University (1979–1981) Labs & Teams: His research group at Hebrew University focuses on distributed systems, with collaborations on projects like Steward (wide-area Byzantine replication) and Self-Stabilizing Circuits .
Richard B. Brown is the Dean of the College of Engineering at the University of Utah, a position he has held since 2004. Under his leadership, the College has experienced remarkable growth, with research expenditures increasing from $30 million to $97 million annually and student enrollment more than doubling to over 6,000 students. Brown is also a distinguished professor whose research has significantly advanced miniature technology and sensor development. Dr. Brown earned his bachelor's and master's degrees in electrical engineering from Brigham Young University in 1976, followed by a Ph.D. in electrical engineering from the University of Utah in 1985. After 19 years as a faculty member at the University of Michigan, he returned to Utah as Dean of Engineering. His academic journey reflects a deep commitment to both research excellence and educational innovation. Dr. Brown's research focuses on miniature technology, particularly solid-state chemical sensors and integrated circuits. His pioneering work includes developing miniature ion-selective electrodes, enzymatically- and immunologically-coupled sensors for complex biological molecules, and amperometric sensors for heavy metals and neurochemicals. His research group was first to incorporate both electrical and chemical sensors on silicon brain probes and first to differentiate spoken words from microelectrode arrays on human brains. His work spans high-speed microprocessors to low-power, implantable electronics, with significant commercial applications through multiple startups. Dr. Brown has authored 225 peer-reviewed publications, including one cited over 3,400 times, and holds 21 patents. His research has led to four successful companies: i-SENS (glucose sensors), Sensicore (chemical sensors), Mobius Microsystems (silicon clock generators), and e-SENS (water chemistry sensors). Industry applications include 1.7 million glucometers and 1.4 billion test strips sold annually. Life Fellow of the IEEE Fellow of the National Academy of Inventors Utah Governor's Medal for Excellence in Science and Technology University of Utah's Rosenblatt Prize (2018) Inaugural holder of the H.E. Thomas Presidential Endowed Dean's Chair (2020) As an educator, Dr. Brown has mentored 31 PhD students who have become leaders in their fields. His innovative integrated circuit design curriculum has transformed how this subject is taught worldwide. Under his leadership, diversity in the College has significantly increased, with women students growing from 10% to 20% and Students of Color from 20% to 34% of the student body, with retention rates for these groups exceeding those of their counterparts. His work with industry through departmental advisory boards has led to programs addressing workforce needs, including the Master of Software Development and systems engineering certificate. Dr. Brown has established strong industry connections through industrial advisory boards at both departmental and college levels. This engagement has resulted in programs tailored to industry needs, including a robust electrical power program, the Master of Software Development for career changers, and a systems engineering certificate developed in response to requests from companies like Northrop Grumman, which has 155 current openings for systems engineers. During the pandemic, he led the College in pivoting research to address COVID-19, with over a dozen faculty members focusing on detection, transmission, and prevention.
Francesc Moll Echeto is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Enginyeria Electrònica and the Escola Tècnica Superior d'Enginyeria de Telecomunicació de Barcelona. He leads the HIPICS research group focused on high-performance integrated circuits and systems design. His expertise spans energy harvesting, low-power electronics, process variability management, and secure circuit design. He coordinates the Doctorat en Enginyeria Electrònica program and has coordinated EU-funded projects like the European Processor Initiative (EPI). Education: M.S. in Physics, Universitat de les Illes Balears, 1991 Ph.D. in Electronic Engineering, Universitat Politècnica de Catalunya, 1995 Research Focus: His work addresses energy-efficient computing, including: - Design of circuits tolerant to manufacturing variability - Energy harvesting from mechanical and RF sources - Secure hardware countermeasures against side-channel attacks - RISC-V architecture implementations in advanced technologies - Edge computing and autonomous sensor systems Grants & Collaborations: Coordinator of R&D projects like 'ARQUITECTURA DE COMPUTADORES DE ALTAS PRESTACIONES' (PID2023-146511NB-I00) Part of the Barcelona Zettascale Lab consortium Collaborations with Barcelona Supercomputing Center and industry partners Awards: HiPEAC Paper Award (2023, 2024) for innovations in vector processing and DNN acceleration Labs/Teams: Leads the HIPICS group and the EFRICS subgroup, collaborating on EU-funded initiatives like the European Processor Initiative. Active in open-source silicon projects (e.g., Sargantana RISC-V processor).
Josie Clowney is an Associate Professor in the Department of Molecular, Cellular, and Developmental Biology at the University of Michigan, where she has held faculty position since 2017. Her research investigates the genomic algorithms that construct neural circuits during development, using Drosophila as a model to study how chemosensory systems drive both instinctual behaviors and learning. She teaches Bio 172 and an upper-level seminar on cellular diversity and scientific writing, and mentors graduate students through MCDB, CMB, NGP, and BIOINF PhD programs. Her educational background includes: Ph.D. in Biomedical Sciences (2012) from the University of California, San Francisco B.S. in Cellular and Molecular Biology (2005) from the University of Michigan, where she conducted research with Cunming Duan Clowney's research centers on understanding how definitive neuronal parameters are encoded in genomic information and translated into cellular architectures. Her lab hypothesizes that developmental algorithms for learning circuits versus instinctual circuits differ fundamentally in their genomic requirements, with chemosensory circuits serving as key models. Using fruit flies for their tractable brain organization, her work bridges computational principles and biological implementation to uncover universal brain organization rules. Analysis of her 15 most recent publications (2016-2025) reveals consistent focus on Drosophila mushroom body development, neural sexual differentiation, and spatial constraints in circuit formation. Key themes include non-deterministic mechanisms diversifying cell surface expression, chromatin dynamics in circadian regulation, and how input density tunes sensory responses. Her work integrates genomics, neuroanatomy, and behavior to model how compact genomic information generates complex neural architectures. No scientific awards were mentioned in the provided text. Dr. Clowney advises graduate students through multiple PhD programs at the University of Michigan, though specific student names and grant details are not provided in the source material. Her teaching includes foundational undergraduate coursework and advanced seminars emphasizing scientific writing. The active publication record spanning 2016-2025 indicates sustained research funding supporting her lab's investigations into neural circuit development. The Clowney Lab, housed in the Biological Sciences Building (4218 BSB), employs Drosophila genetics and neuroanatomical techniques to dissect developmental algorithms of brain wiring. Current projects explore how spatial constraints structure learning circuits, mechanisms of neural sexual differentiation, and the genomic encoding of circuit diversity. The lab collaborates within Michigan's neuroscience community through the Program in Biology and participates in interdisciplinary initiatives studying brain evolution and function.
Marek Miśkowicz serves as a Professor at the Department of Metrology and Electronics within the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering at AGH University of Science and Technology in Kraków, Poland. His primary institutional contact is miskow@agh.edu.pl, with physical location in building B-1, room 212. His research spans signal processing, biomedical engineering, and electronics, specializing in event-based sampling methodologies, time-to-digital conversion techniques, and reconstruction of bandlimited signals from nonuniform samples. Key contributions include QRS detection algorithms for ECG monitoring, POCS-based reconstruction frameworks, and event-driven control systems for industrial IoT applications. His work emphasizes resource efficiency in embedded systems and mobile health monitoring through approximate computing and adaptive sampling strategies. Recent publications (2022-2025) demonstrate consistent focus on signal reconstruction from irregular samples, with growing emphasis on spiking neural networks for event classification and industrial IoT optimization. Biomedical applications (particularly ECG analysis) and industrial control systems represent dominant application domains, while methodological innovations center on iterative reconstruction algorithms and temporal accuracy evaluation in noisy environments. No scientific awards were referenced in the source materials. No information regarding student advising or research grants was available in the provided documentation. The source texts contained no details about laboratory facilities, research teams, or collaborative groups associated with Professor Miśkowicz.
Scott Diddams is the Robert H. Davis Endowed Chair and Professor of Electrical Engineering and Physics at the University of Colorado Boulder. He leads the Quantum Engineering Initiative in the College of Engineering and Applied Science. His research focuses on precision spectroscopy, quantum metrology, nonlinear optics, and ultrafast lasers, with pioneering contributions to optical frequency combs for applications in optical clocks, fundamental physics tests, and astronomy. He holds over 750 publications and has received prestigious awards including the Department of Commerce Gold Medal and PECASE. **Education**: PhD in Physics from the University of New Mexico (1996). Postdoctoral work at JILA, NIST, and CU Boulder. Former NIST Fellow and Group Leader. **Research Interests**: Frequency comb technology for astrophotonics and metrology Exoplanet detection via advanced spectroscopy Ultrafast laser systems and high-harmonic generation Quantum engineering and integrated photonics **Awards**: Distinguished Presidential Rank Award IEEE Rabi Award C.E.K. Mees Medal (OPTICA) **Grants & Labs**: Directs the Quantum Engineering Initiative and maintains active collaborations with NIST. His lab develops cutting-edge instrumentation for space science and precision measurement. **Current Projects**: Focuses on miniaturized Fabry-Pérot cavities, quantum-enhanced dual-comb spectroscopy, and exoplanet characterization via the GEMS survey.
Dr. Naeha Sharif is a Lecturer in Computer Science & Software Engineering at The University of Western Australia (UWA), specializing in Computer Vision (CV) and Natural Language Processing (NLP). She holds a PhD from UWA (2021) focused on AI-driven image captioning and received the prestigious ACS 1962 Medal for outstanding IT/CS research. Her work bridges AI with healthcare, including automated medical assessment via spine scans (DXA) for abdominal aortic calcification analysis and AI-driven medical report generation for fundus imaging. Education: PhD in Computer Science (UWA 2021), Master of Engineering in Biomedical Engineering (Kyung Hee University, 2013). Previous roles include Postdoctoral Fellow at Edith Cowan University (2021–2022). Research Interests: Vision-language models, medical image analysis, captioning metrics, multimodal learning, and AI applications in healthcare. Active in UN SDGs related to health and innovation. Teaching: Unit Coordinator for Computer Graphics & Animation (CITS3003, 2022–2023) Computational Thinking with Python (CITS1401, 2023) Grants: Lead investigator on the 'Generative AI for Screening of Depressive Disorders' project (2024). Awards: Recognized for student learning contributions (2025), best paper awards (2024/2020), and academic excellence honors (2021/2020). Labs/Teams: Member of UWA Natural & Technical Language Processing Group and IEEE Signal Processing Society.
Setareh Rafatirad is an Assistant Professor in the Department of Electrical and Computer Engineering at George Mason University's College of Engineering and Computing. Her research spans hardware security, machine learning for security applications, and IoT security systems. Her research interests focus on hardware security, machine learning for security applications, IoT security, side-channel attacks, and malware detection. She has developed innovative approaches for securing integrated circuits, detecting malware using machine learning techniques, and protecting against side-channel vulnerabilities in computer systems. Her work bridges the gap between hardware design and security, creating practical solutions for emerging security challenges in computing systems. Her recent publications demonstrate a strong trend toward applying machine learning techniques to security problems, particularly in hardware and embedded systems. She has made significant contributions to understanding and mitigating side-channel attacks, developing secure machine learning models, and creating efficient security solutions for resource-constrained devices. Her work shows increasing interdisciplinary reach, connecting hardware security with healthcare applications and educational technologies. Dr. Rafatirad has collaborated extensively with researchers including Houman Homayoun, Avesta Sasan, and Sai Manoj P. Dinakarrao. She has secured research funding for projects related to hardware security and machine learning applications, though specific grant details are not provided in the available information.
John A. McNeill is the Bernard M. Gordon Dean of Engineering at Worcester Polytechnic Institute (WPI), where he has been since 1994. He holds a PhD in Electrical, Computer, and Systems Engineering from Boston University and has maintained strong industry ties through initiatives like the New England Center for Analog and Mixed Signal Design. His research focuses on mixed-signal integrated circuits, biomedical sensors, and low-power systems, including a wearable wireless sensor for pressure ulcer prevention. He has advised numerous graduate and undergraduate students on projects involving analog and digital circuit design. McNeill’s academic journey includes a BS from Dartmouth College (1983), MS from the University of Rochester (1991), and PhD from Boston University (1994). He has received prestigious awards like the NSF CAREER Award (1997), WPI’s Chairman’s Exemplary Faculty Prize (2007), and the Eta Kappa Nu Outstanding Professor Award (multiple times). His work has resulted in six patents and over 60 peer-reviewed publications. He leads initiatives to enhance engineering education, emphasizing project-based learning and interdisciplinary collaboration. His professional affiliations include IEEE, the American Society for Engineering Education, and the National Academy of Inventors.
Dana Weinstein is a Professor in the Department of Electrical and Computer Engineering at Purdue University, West Lafayette campus. Her research focuses on cutting-edge MEMS resonators, RF device integration, and acoustoelectronic systems. Academic Rank: Professor Department: Electrical and Computer Engineering University: Purdue University Email: danaw@purdue.edu Research Interests: Microelectronics and MEMS Resonators Radio Frequency (RF) Devices and 2D Materials Silicon Photonics and Ferroelectric Transducers Acoustoelectronics and GaN/SiC Heterostructures Integrated Nonreciprocal RF MEMS Devices Scientific Awards: NSF CAREER Award (2017) NSF CAREER Award (2012) Editorial Leadership in IEEE Nanotechnology Express (2015) Key Article Trends: Her recent publications explore advanced MEMS resonators, high-frequency RF devices, acoustoelectric interactions, and integration of 2D materials into CMOS-compatible platforms. Topics include Sezawa wave SAW devices, GaN/SiC heterostructures, BEOL-compatible transistors, and ferroelectric-based transducers.
Santeri Porrasmaa is a Doctoral Researcher at Aalto University's Department of Electronics and Nanoengineering. He works within the Marko Kosunen Group , focusing on analog and microwave integrated circuit design. Research interests include automated design methodologies for analog circuits Development of voltage-to-time converters Electromagnetic simulation environments for microwave circuits Quantum-efficient photodetectors for optical flux measurement Recent publication trends show expertise in: Design automation frameworks for analog circuits Injection locking techniques for energy-efficient oscillators Electromagnetic simulation optimization Quantum metrology applications
