Mervi Paulasto-Kröckel is a Professor in the Department of Electrical Engineering and Automation at Aalto University, specializing in Electronics Integration and Reliability. With a doctoral degree in Engineering and Technology from Helsinki University of Technology (1995) and a Master's degree from the same institution (1990), her work focuses on microelectronics packaging, MEMS, and sustainable electronic manufacturing. Doctoral Degree: Engineering and Technology, Helsinki University of Technology (1995) Master's Degree: Engineering and Technology, Helsinki University of Technology (1990) Her research explores advanced packaging techniques like SLID bonding, reliability of microbumps, and thermally conductive materials. Recent work includes buried aluminum nitride for silicon-on-insulator and fatigue crack analysis in IGBT modules. Her publications emphasize low-temperature processes, interdiffusion, and MEMS reliability. Awards include the JVST A Best ALD Paper Award (2021) and a Best paper award (2000). She leads projects like PowerizeD and 3DPiezoMems, focusing on digitalization and 3D MEMS development. Best paper award (2000) JVST A Best ALD Paper Award (2021)
Professor David J. Thomson is a Professorial Fellow in the Optoelectronics Research Centre (ORC) at the University of Southampton, holding a prestigious Royal Society University Research Fellowship. He pioneers photonics research for computing applications and LIDAR systems, commanding over £10 million in research funding and leading a 12-member team focused on novel photonic device development and electronic integration. Thomson's research centers on silicon photonics and optical computing, with critical advancements in high-speed optical modulators, photonic integrated circuits, and LIDAR technologies. His work drives innovations in programmable photonics using phase-change materials and the co-integration of photonic and electronic systems, enabling breakthroughs in energy-efficient data communication and next-generation computing architectures. Recent publications (2024-2025) reveal a dominant focus on silicon photonics for ultra-high-speed optical interconnects, featuring programmable circuits with Sb2Se3 phase-change materials, 224 Gbaud transmitters, and MOSCAP ring modulators with sub-5nm insulators. These works collectively address bandwidth and energy challenges in data centers and high-performance computing through monolithic integration and novel material systems. Scientific Awards: Royal Society University Research Fellowship Thomson actively supervises eight PhD students across the ORC and Department of Electronics and Electrical Engineering, while managing substantial grants exceeding £10 million from the Royal Society, EPSRC, Horizon Europe, and Huawei Technologies. His projects include DOLORES (Digital Optical Computing Platform), Tunnel Epitaxy of III-V on Silicon, and PIXEurope, targeting revolutionary photonic integration for neural networks and communications. He leads a specialized research team within the ORC's state-of-the-art facilities, focusing on photonic device design, fabrication, and characterization. This group collaborates on major European initiatives like Horizon Europe's DOLORES and PIXEurope, advancing silicon photonic platforms for optical computing and LIDAR applications.
Robert M. Weikle, II is a Professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia, with a courtesy appointment in the Department of Physics. He earned his B.S. from Rice University (1986), M.S. (1987), and Ph.D. (1992) in Electrical Engineering from Caltech, followed by postdoctoral work at Chalmers University of Technology (1992). His research focuses on millimeter-wave and terahertz electronics , applied electromagnetics, integrated antennas, low-noise sensors, and heterogeneous integration of compound semiconductors. His work bridges electronics and photonics for spectrum access, with applications in astronomy, spectroscopy, and metrology. He has published extensively on micromachined silicon substrates, superconducting materials, and emerging technologies. Scientific Awards: IEEE Microwave Prize (1993) David A. Harrison III Award (1999) University of Virginia All-University Outstanding Teaching Award (2000) Edlich-Henderson Innovator of the Year (2016) Fulbright Scholar (2001) As Chief Technology Officer and co-founder of Dominion Microprobes, Inc., he commercializes micromachined wafer probes for high-frequency metrology. His lab, located in E220 Thornton Hall and the Jesse W. Beams Physics Building, has produced 15+ recent publications on submillimeter-wave devices, THz probes, and calibration techniques.
Xiongfei Wang is a Visiting Professor at KTH Royal Institute of Technology in Stockholm, Sweden, and a Digital Futures Fellow. He holds academic leadership roles, including Editor-in-Chief of IEEE Transactions on Power Electronics and chairs in IEEE committees. His research focuses on power electronics systems, stability analysis, and data-driven approaches for energy systems. Previously, he served as a Professor at Aalborg University (2009–2022). His work addresses challenges in power system stability, converter dynamics, and renewable integration. He leads projects like 'Machine Learning for Dynamics Analysis of Power Electronic Systems,' aiming to enhance grid resilience through AI-driven methods. Notable awards include IEEE Fellow (2023), Isao Takahashi Award (2022), and multiple best paper awards. Wang collaborates extensively, organizing conferences and editing journals. His research spans power electronics, grid stability, and smart grid technologies, with a focus on practical applications in energy transition.
Maiken H. Mikkelsen is the James N. and Elizabeth H. Barton Associate Professor in the Department of Electrical and Computer Engineering at Duke University, with a joint appointment in the Department of Physics . Her research focuses on quantum nanophotonics , plasmonics , and light-matter interactions in nanoscale materials, aiming to advance optoelectronics, quantum science, and biomedical diagnostics. Education B.S. in Physics, University of Copenhagen (2004) Ph.D. in Physics, University of California, Santa Barbara (2009) Postdoctoral Fellowship, University of California, Berkeley Her work explores nanophotonic engineering for quantum optics , spintronics , and ultrafast optoelectronics , with recent studies on nonlinear metasurfaces and plasmonic enhancement of immunoassays for point-of-care diagnostics. Publications highlight 2D semiconductor emission control , ultrafast single-photon sources , and metasurface-based photodetectors . Scientific Awards Maria Goeppert Mayer Award (2017) NSF CAREER Award (2015) Moore Inventor Fellow (2021) ONR/Air Force/Army Young Investigator Awards (2015-2017) Cottrell Scholar (2016) Stansell Family Distinguished Research Award (2021) She advises graduate students in Duke’s Electrical & Computer Engineering and Physics programs and leads the Mikkelsen Lab , which emphasizes ultrafast spectroscopy and quantum material development . The lab has graduated PhD students like Eunso Shin and Hengming Li (2025).
Professor John D. Cressler is a tenured faculty member at the Georgia Institute of Technology, holding a position within the School of Electrical and Computer Engineering in the College of Engineering. His research focuses on cutting-edge semiconductor technologies, particularly silicon-germanium heterojunction bipolar transistors (SiGe HBTs) for mixed-signal applications spanning RF, microwave, mm-wave, analog, and digital domains. His research interests center on atomic-scale bandgap engineering for next-generation semiconductor devices, with emphasis on SiGe HBT technology development, radiation-hardened circuits for space applications, cryogenic electronics, and device-circuit interactions. His team explores fundamental device theory, broadband noise analysis, profile optimization, 2-D/3-D simulation, compact modeling, and radiation effects. Current projects include Europa-surface mission electronics, D-band/sub-THz systems, and radiation-tolerant receiver designs. Analysis of his 15 most recent publications (2024-2025) reveals a dominant focus on radiation-hardened electronics for space applications (40% of works), millimeter-wave circuit design (30%), and SiGe HBT reliability optimization (30%). Key trends include Europa mission electronics development, D-band/sub-THz circuit innovation, and advanced radiation mitigation techniques using SiGe BiCMOS technology. Professor Cressler teaches multiple courses including ECE 3040 (Microelectronic Circuits), ECE 3450 (Semiconductor Devices), ECE 6444 (Silicon-Based Heterostructure Devices and Circuits), and the interdisciplinary IAC 2002 course on Science, Engineering and Religion. His research is supported by industrial collaborations and Georgia Tech facilities including the Georgia Electronic Design Center (GEDC), NanoTECH, and C-STAR.
Professor Dragan Jovcic is the Chair in Engineering at the University of Aberdeen's School of Engineering , where he has been a faculty member since 2004 and a full professor since 2012. Concurrently he serves as Director of the Aberdeen HVDC Research Centre , a role he has held since 2015. Education: PhD in Electrical Engineering, University of Auckland, 1999 Diploma Engineer in Control Systems, University of Belgrade, 1993 Postgraduate Certificate in University Teaching, University of Ulster, 2003 Research Interests: Professor Jovcic’s research centres on high-power electronics and HVDC transmission systems , with particular emphasis on the development of DC transmission grids that will enable large-scale integration of offshore wind energy . His work spans DC/DC converters , DC circuit breakers , modular multilevel converters (MMC) , flexible AC transmission systems (FACTS) , and advanced power system modelling and control . The overarching goal is to underpin the transition from fossil-fuel generation to renewable-dominated power systems, especially in the North Sea and European contexts. Publication Trends: Recent publications (2020-2023) reveal a strong focus on DC protection technologies —notably circuit breakers and energy absorbers—and on modelling methodologies for HVDC grids and offshore wind integration. The works address both theoretical advances (phasor and state-space models) and experimental validation (kV-level prototypes), reflecting a balanced portfolio of fundamental research and practical demonstration. Scientific Awards & Recognition: IEEE Fellow (2021) IEEE PES Distinguished Lecturer (since 2015) IET Fellow (2019) and Chartered Engineer (2018) Research Funding & Supervision: With over £5.5 million in external research income, Professor Jovcic is principal investigator or work-package leader on numerous EU Horizon Europe and EPSRC projects. He has supervised 9 PhDs to completion and is currently mentoring 2 PhD students and 2 post-doctoral fellows . Major grants include the €35 million PROMOTioN project on multiterminal DC networks and the €4 million MoWiLife project on wide-bandgap power electronics. Laboratory & Facilities: The Aberdeen HVDC Research Centre hosts a 0.9 kV DC grid demonstrator , 30 kW thyristor- and IGBT-based DC/DC converters , and 5 kV, 2 kA DC circuit breaker test benches , providing a world-class platform for experimental research and student training.
John Heron is an Associate Professor in the Department of Materials Science and Engineering at the University of Michigan. His research focuses on epitaxial growth of complex oxide thin films and heterostructures to engineer new electronic phenomena for next-generation devices. B.S. in Physics, University of California, Santa Barbara (2007) M.S. in Materials Science and Engineering, University of California, Berkeley (2011) Ph.D. in Materials Science and Engineering, University of California, Berkeley (2013) His work explores ferroic materials like (anti)ferromagnets and (anti)ferroelectrics, utilizing techniques such as X-ray diffraction, scanning probe microscopy, and magnetotransport measurements. The Ferroelectronics Lab (http://ferroelectronicslab.com) employs in-situ transfer systems for high-quality oxide and metal growth. Recent publications emphasize magnetoelectric switching, entropy-stabilized oxides, and spintronic devices. Current teaching includes MSE500 Materials Physics and Chemistry. No explicit scientific awards or students are listed in the provided texts.
Aldo Mozzanica is a Researcher at the Paul Scherrer Institute (PSI) in Switzerland, affiliated with the Laboratory for X-ray Nanoscience and Technologies. He holds a degree in Physics from Insubria University and a Ph.D. from the University of Milan, where his doctoral work focused on scintillating fiber vertex detectors for CERN's Antiproton Decelerator facility. At PSI, he leads detector development projects for synchrotron and free-electron laser applications. His research centers on advancing X-ray detector technology, including: Developing next-generation integrating pixel/strip detectors (JUNGFRAU, GOTTHARD) Improving frame rates, noise performance, and radiation hardness Exploring novel detector concepts for XFEL/synchrotron applications Enabling new experimental capabilities in structural biology and materials science Mozzanica's 135+ publications focus on X-ray detector innovation, with recent work emphasizing: Hybrid pixel detector optimization for 4th-generation light sources On-chip digitization and charge transport modeling High-speed data acquisition systems Applications in crystallography, spectroscopy, and phase-contrast imaging As principal developer of the JUNGFRAU detector, he oversees: ASIC design, testing, and characterization Readout electronics and firmware development Module production and supply chain management Commissioning at SwissFEL endstations
Said Hamdioui serves as a full Professor in the Department of Computer Engineering within the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. His research focuses on cutting-edge hardware architectures for neuromorphic computing and energy-efficient AI acceleration, with particular emphasis on memristor-based systems, emerging memory technologies, and fault-tolerant designs for edge applications. His research interests span Neuromorphic Computing , Memristor-Based Architectures , and Energy-Efficient AI Hardware , addressing critical challenges in hardware security, computation-in-memory, and reliable edge AI deployment. Recent work demonstrates significant advancements in RRAM/FeFET testing methodologies, spiking neural network implementations, and spin wave computing alternatives to traditional CMOS. His publications reveal strong trends toward real-world deployment of brain-inspired hardware with practical constraints like power efficiency, testability, and security. Award highlights include: DATE'20 Best Paper Award DFT'21 Outstanding Student Paper ETS 2021 Best Paper Award LATS 2018 & 2022 Best Paper Awards Professor Hamdioui actively contributes to the research community through editorial roles at IEEE Transactions on VLSI Systems , IEEE Design & Test , and Journal of Electronic Testing from 2017-2018. His leadership in multi-partner projects like CONVOLVE and NEUROKIT2E demonstrates strong industry-academia collaboration for edge AI solutions. Current work shows increasing focus on practical deployment challenges including in-field fault monitoring, security vulnerabilities in neuromorphic systems, and realistic brain simulation frameworks.
Marianna Ivashina is a Professor and Head of the Antenna Systems Research Group at Chalmers University of Technology's Department of Electrical Engineering . Her work focuses on array antennas , antenna integration with electronics , optimal beamforming , and over-the-air measurement methods . The group has achieved international recognition for innovations in ultra-wideband (UWB) feeds , Gap waveguide antennas , and Doherty-power-amplifier-integrated antennas for 5G/6G and radio telescope applications. Key projects include the SSF Sweden-Taiwan collaboration , EU Horizon 2020 MyWave , and VINNOVA ENERGETIC initiatives. Her recent publications emphasize millimeter-wave (mmWave) communication and reconfigurable intelligent surfaces (RIS) , with applications in 5G/6G networks , satellite communication (SatCom) , and advanced antenna testing chambers . She explores beamforming optimization , self-interference mitigation , and hybrid OTA environments to enhance wireless system performance. The group's work bridges theoretical advancements with practical implementations, including RFSoC testbeds and high-efficiency antenna arrays . Marianna leads major research programs funded by Ericsson , VINNOVA , and EUREKA EURIPIDES2 , addressing challenges in beamforming , antenna-IC integration , and automated design for 5G/6G . These projects highlight her role in advancing millimeter-wave communication and sensor integration technologies.
Suresh K. Sitaraman is a Regents' Professor and Morris M. Bryan, Jr. Professor in Mechanical Engineering at the Georgia Institute of Technology's George W. Woodruff School of Mechanical Engineering. His primary research focuses on Computer-Aided Engineering (CAE) and Design, manufacturing processes, micro/nano engineering, and mechanics of materials. He leads the Computer-Aided Simulation of Packaging Reliability (CASPaR) Lab and is involved in flexible hybrid electronics research through the Flexible Electronics Center . Dr. Sitaraman holds a Ph.D. from The Ohio State University (1989), M.A.Sc. from the University of Ottawa (1985), and B.E. from the University of Madras (1982). His research includes developing novel techniques like fixtureless magnetic actuation for interfacial fracture testing, compliant micro-scale interconnects for stress mitigation, and synchrotron X-ray diffraction analysis for through-silicon vias (TSVs). He has pioneered studies on carbon nanotube forests' mechanical properties and reliability challenges in 3D microsystems. His awards include the NSF CAREER Award (1997-2002), ASME Fellow designation (2004), and Sigma Xi Sustained Research Award (2008). He has authored over 150 publications and holds multiple patents on compliant interconnect technologies and packaging reliability solutions. Key Research Themes: Micro/nano-scale material characterization, physics-based predictive modeling, flexible electronics, 3D integration, and thermal management. Labs/Initiatives: CASPaR Lab ( caspar.gatech.edu ), Flexible Hybrid Electronics Center. Industry Impact: Contributions to semiconductor packaging, wearable electronics, and advanced manufacturing techniques.
Nicola Nicolici is a Professor in the Department of Electrical and Computer Engineering at McMaster University. His research focuses on methods and algorithms for the design of digital integrated circuits and systems, with significant contributions in manufacturing test, post-silicon validation and debug. His work has expanded to include embedded systems, low-energy computing, and custom hardware-accelerated computing systems. Professor Nicolici's research interests span multiple areas of digital system design and validation. His early work focused on manufacturing test methodologies and power-aware testing strategies for integrated circuits. More recently, he has made significant contributions to post-silicon validation techniques, including constrained-random stimuli generation, trace signal selection, and bit-flip detection. His research has evolved to address emerging challenges in embedded computing systems, low-energy design, and specialized hardware acceleration for various applications including deep neural networks and signal processing. His recent publications reveal a strong trend toward hardware acceleration for specialized computing tasks. The research spans matrix multiplication algorithms (Strassen and Karatsuba), memory system optimization (DDR5 calibration), FPGA-based radar processing, and neural network acceleration. His work consistently bridges theoretical algorithm development with practical hardware implementation considerations, particularly focusing on precision analysis, fault tolerance, and energy efficiency. The research demonstrates a clear progression from traditional digital circuit testing to more complex system-level validation and acceleration techniques. Professor Nicolici has been actively involved in teaching courses related to system-on-chip design and test, digital systems, and embedded systems. His teaching portfolio includes advanced courses such as System-on-Chip (SOC) Design and Test and Digital Systems Design , reflecting his expertise in the field. While specific grant information isn't detailed in the provided text, his extensive publication record suggests ongoing research funding support. His research has contributed significantly to the fields of digital circuit testing, post-silicon validation, and hardware acceleration. The work has practical applications in semiconductor manufacturing, embedded systems design, and specialized computing architectures. His recent focus on neural network acceleration and memory system optimization reflects the evolving landscape of computer architecture research.
Stefano Grivet-Talocia is a Full Professor at the Department of Electronics and Telecommunications at the Polytechnic University of Turin, where he also serves as Director of the Doctoral School and President of the Doctoral School Council. He is a member of the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory, the University Committee for Research, Technology Transfer and Services to the Territory, and the Commission for the Promotion of Library, Archive and Museum Heritage. His academic career spans over two decades at Politecnico di Torino, where he has established himself as a leading researcher in electromagnetic modeling and signal integrity. Grivet-Talocia earned his Laurea degree (summa cum laude) in Electronic Engineering in 1994 and his Ph.D. in Electronic and Communication Engineering in 1998, both from the Polytechnic University of Turin. Between 1994 and 1996, he conducted research at NASA/Goddard Space Flight Center in Greenbelt, Maryland. His educational background laid the foundation for his expertise in electromagnetic modeling, wavelet analysis, and signal processing. His research focuses on behavioral modeling, electromagnetic compatibility, macromodeling, model order reduction, numerical modeling, passivity, power integrity, signal integrity, transmission lines, and wavelets . Grivet-Talocia is particularly renowned for his work on passive macromodeling of interconnect structures, development of the TOPLine technique for transmission line simulation, and pioneering contributions to passivity enforcement algorithms. He has co-authored the first book entirely dedicated to Macromodeling (2016) and developed innovative approaches to waveform relaxation and wavelet-based signal processing. His recent publications (2024-2025) demonstrate continued leadership in model order reduction, with significant contributions to data-driven modeling of linear and nonlinear systems, power integrity analysis, and electromagnetic compatibility. His work spans both theoretical advances in numerical methods and practical applications in circuit design, with strong industry relevance particularly for semiconductor and electronic design automation companies. IEEE Fellow (2018-present) Three Intel SRS Grants (2022-2024) Three IBM SUR Grant Awards (2007-2009) Best Associate Editor Award - IEEE Transactions on Components, Packaging and Manufacturing Technology (2020) Multiple Best Conference Paper Awards (2006-2020) URSI Young Scientist Awards (1999) Ranked among the "top 2% worldwide researchers" (Stanford) since 2019 Grivet-Talocia actively supervises doctoral students including Michele Cusano, Sara Paknezhad Panahi, Antonio Carlucci, and Kun Zhao. He has secured numerous research grants from competitive national calls (PRIN) and commercial contracts with industry partners including Intel, IBM, Nokia, Hitachi, Infineon, and Cadence. His technology transfer activities include co-founding the spin-off IdemWorks (2007-2016), which was acquired by CST in 2016. He also developed the autoCircuits web service for automated circuit problem generation, widely used in electrical engineering education. He leads the EMC Group (Electromagnetic Compatibility) at DET and has been instrumental in establishing the Compact Dynamical Modeling research area. His work has practical applications in high-speed electronics design, with algorithms embedded in commercial tools like IBM PowerSPICE. Grivet-Talocia maintains strong industry connections through his research projects and serves as Associate Editor for IEEE Transactions on Components, Packaging and Manufacturing Technology.
David Wentzlaff is a Professor of Electrical and Computer Engineering at Princeton University, with associated faculty roles in Computer Science and the High Meadows Environmental Institute (HMEI). He leads research in computing architecture, green computing, and sustainable system design. As Director of Undergraduate Studies, he shapes educational programs in his field. Education: Ph.D., Electrical Engineering, MIT (2012) M.S., Electrical Engineering and Computer Science, MIT (2002) B.S., Electrical Engineering, University of Illinois at Urbana-Champaign (2000) Research Focus: Future Computing Systems: Designing manycore architectures, cloud computing infrastructure, and chiplet-based systems for exascale computing. Sustainability: Developing energy-efficient hardware, recyclable computing systems, and eco-friendly decommissioning strategies. Hardware-Software Co-Design: Exploring FPGA integration, in-memory computing, and parallel processing frameworks. Advising & Grants: Advises 8 current graduate students, focusing on topics like chiplet design, neural acceleration, and sustainable computing. Recipient of NSF grants for projects like OpenPiton (open-source manycore research platform) and CAREER awards for energy-efficient architectures. Labs & Collaborations: Leads the Wentzlaff Research Group at Princeton. Develops open-source frameworks like PRGA (FPGA prototyping) and OpenPiton (manycore processor).
