Jan-Frederik Pietschmann is a Professor for Inverse Problems at the University of Augsburg's Faculty of Mathematics, Natural Sciences and Technology. He previously held the same position at TU Chemnitz (2018–2023) and served as a Research Associate at institutions including the University of Münster and TU Darmstadt. University of Cambridge (PhD, Mathematics, 2008–2011) University of Münster (Diploma, Mathematics and Physics, 2008) Habilitation in Mathematics, University of Münster, 2018 His research focuses on the analysis of nonlinear PDEs , gradient flows , and parameter identification in PDEs . Recent work explores applications to cell invasion , pedestrian dynamics , neurite growth , and organic semiconductors . Publications highlight his expertise in optimal transport , cross-diffusion systems , and uncertainty quantification . Notable trends in his 15 most recent articles include Nonlinear PDEs for biological and physical systems Optimal transport on networks and metric graphs Computational methods for inverse problems His current team includes Gianna Götzmann, Carmen Tretmans, and Team Assistant Juliane Krautz. Contact details: jan-f.pietschmann@uni-a.de , +49 821 598-3926.
Joyce Poon is a Professor in the Electrical and Computer Engineering Department at the University of Toronto , with affiliations as Director of the Max Planck Institute for Microstructure Physics and Honorary Professor at the Technical University of Berlin. Her research focuses on integrated photonic devices for communications and neurotechnology , leveraging silicon photonics for applications in visible light systems and neural interfacing. Education: PhD and M.S. in Electrical Engineering from Caltech (2007, 2003); BASc in Engineering Science (Physics) from the University of Toronto (2002) Her work spans visible-light silicon photonics , optical phased arrays , and implantable neural probes , with recent advancements in 3D-printed scaffolds for neural tissue engineering and thermally tunable photonic devices. She has pioneered programmable photonic circuits and hybrid integration techniques for high-efficiency systems. Key trends in her publications include visible-light silicon nitride waveguides , MEMS-based optical switching , and neurophotonic probes for deep brain optogenetics. Collaborative efforts extend to AI-assisted photonic design and biomedical applications of photonic integrated circuits. Scientific Honors : IEEE Fellow (2022) Fellow of Optica (2018) Mit TR35 (2012) Canada Research Chair in Integrated Photonic Devices (Tier 2, 2012–present) Milton and Francis Clauser Doctoral Thesis Prize (Caltech, 2007) She contributes to professional communities through editorial roles (e.g., Optics Express) and leadership in conferences like OFC and IEEE Group IV Photonics. Her lab develops nanophotonic neural probes for brain imaging and stimulation, and she is affiliated with the Krembil Research Institute (University Health Network).
Massimo Messori is a Full Professor at the Department of Applied Science and Technology (DISAT) of Politecnico di Torino. He serves as Coordinator of the Doctoral School in Materials Science and Technology and Deputy Coordinator of the College of Chemical and Materials Engineering. His affiliations include membership in the Interdepartmental Center IAM@PoliTo and the National Interuniversity Consortium for Materials Science and Technology (INSTM). Laurea in Industrial Chemistry (1992), University of Bologna Ph.D. in Industrial Chemistry (1997), University of Bologna Research Assistant (1999-2002), University of Bologna Associate Professor (2002-2017), University of Modena and Reggio Emilia Full Professor (2017-2021), University of Modena and Reggio Emilia Full Professor (2021-present), Politecnico di Torino Messori's research focuses on polymer synthesis, modification, and characterization with emphasis on additive manufacturing and sustainable materials. His current work includes photopolymerizable resins for 3D/4D printing and valorization of agro-industrial wastes as biopolymer additives. He leads projects like FIBRA (sustainable brake pads) and MUSTANG (polymer sustainability). His article trends show expertise in photopolymerization , bio-based composites , shape-memory polymers , environmental remediation materials , and sustainable manufacturing . He actively supervises PhD students in these domains. He co-founded spinoffs MAT3D (special resins) and Agromateriae (bio-composites from waste). His teaching spans Materials Engineering, Additive Manufacturing, and Sustainable Design.
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.
Ramesh Harjani is the Edgar F. Johnson Professor in the Department of Electrical and Computer Engineering at the University of Minnesota. He maintains an active research program with numerous ongoing projects and publications, and is currently accepting PhD students. His office is located in Kenneth H. Keller Hall on the University of Minnesota campus in Minneapolis. Dr. Harjani received his educational training at prestigious institutions globally: B.Tech in Electrical and Electronics Engineering from Birla Institute of Technology, Pilani, India (1982) MTech in Electrical Engineering from Indian Institute of Technology, New Delhi (1984) PhD in Electrical and Computer Engineering from Carnegie Mellon University (1989) Professor Harjani's research focuses on analog and RF circuit design for communication systems with particular emphasis on CMOS technologies. His work spans both wireless and wired communication domains, with current efforts directed toward high-performance front-end components for broadband and multi-standard wireless systems, as well as next-generation high-speed wired communication systems. His research group also investigates specialized areas including data converters, sensor interface circuits, analog circuit synthesis, and micro-power analog design. Recent publication trends show continued innovation in analog circuit design methodologies, with emphasis on improving performance metrics while addressing modern semiconductor challenges like FinFET self-heating effects. His work bridges theoretical circuit design with practical implementation challenges in advanced technology nodes, particularly 65nm CMOS processes. The research demonstrates strong industry relevance with applications in wireless communications, signal processing, and high-speed data conversion. Professor Harjani leads multiple significant research projects: Scalable Ultra-Low Variation Analog-Time Neural Network (S-UATN) Accelerator (2025-2025) Passive Tile Architecture for MAX (2023-2024) ALIGN Analog Layout Design Suite (2023-2024) Automated Layout Of Analog Arrays In Advanced Technology Nodes (2022-2024) ALIGN: Analog Layout, Intelligently Generated from Netlists (2018-2023) He maintains the Harjani Research Group, which collaborates extensively with industry partners including BAE SYSTEMS, NORTHWESTERN UNIVERSITY, SPAWAR, and THE NATIONAL SCIENCE FOUNDATION, demonstrating strong connections between academic research and practical engineering applications.
Chris Kim serves as a Professor in the Department of Electrical and Computer Engineering at the University of Minnesota's College of Science and Engineering. He holds the prestigious McKnight Presidential Endowed Chair and was named a Distinguished McKnight University Professor in 2022, one of the highest honors at the university. His research focuses on designing energy-efficient, robust, and intelligent integrated circuits and systems with expertise in building chips and collaborating across materials, devices, algorithms, systems, and signal processing. Professor Kim's research interests span quantum-inspired computing, cryogenic computing, machine learning hardware, neuromorphic computing, hardware security, internet-of-things, medical devices, sensor networks, and radiation hardened chips. His group has transferred key technologies to the semiconductor industry, including silicon odometer circuits for measuring circuit wear out, radiation monitoring circuits, and SPICE models for magnetic tunnel junctions. Analysis of Professor Kim's recent publications reveals a strong trend toward quantum-inspired computing and combinatorial optimization using coupled oscillator-based Ising chips. His work bridges theoretical computer science with practical circuit implementation, with significant contributions in electromigration characterization, aging sensors, and compute-in-memory architectures. The research demonstrates a clear trajectory from fundamental circuit design to application-specific implementations for real-world problems. Intel Outstanding Researcher Award (2024) for contributions to coupled oscillator based Ising chip research Semiconductor Research Corporation (SRC) Sustainable Future award (2024) for quantum-inspired computing chips McKnight Presidential Endowed Chair (2024) Distinguished McKnight University Professor (2022) Louis John Schnell Professor in Electrical and Computer Engineering (2021) Professor Kim actively mentors numerous Ph.D. and Master's students, with over 50 graduates who now work at leading technology companies including Intel, Apple, Samsung, and NVIDIA. His research is supported by significant grants from the National Science Foundation, Semiconductor Research Corporation, Samsung Electronics, and the Department of Defense. Current projects include electromigration lifetime characterization, energy-efficient circuits for cryogenic operation, characterization of single event effects in DRAM chips, and development of CMOS oscillator-based Ising computers. The VLSI Research Group at the University of Minnesota, led by Professor Kim, focuses on developing core circuit technologies for smart and energy-efficient integrated systems. The group has produced notable achievements including a 48-spin all-to-all connected Ising solver chip published in Nature Electronics (featured on the cover), and a quantum-inspired Ising chip with nearly 2,000 coupled ring oscillators. The group maintains strong industry connections and has transferred multiple technologies to semiconductor companies.
Jongse Park is currently an Associate Professor at the School of Computing (SoC), KAIST , and a core member of the Computer Architecture and Systems Laboratory (CASYS) . He holds co-affiliations with the School of Electrical Engineering , Graduate School of AI Semiconductor , Graduate School of System Architect , and Department of Semiconductor System Engineering at KAIST. Since 2025, he has been serving as a Visiting Associate Professor at Stanford University's Pervasive Parallelism Lab within the EECS department. PhD in Computer Science, Georgia Institute of Technology (2018), advised by Prof. Hadi Esmaeilzadeh MS in Computer Science, KAIST (2012), advised by Prof. Seungryoul Maeng BS in Computer Science and Engineering, Sogang University (2010) His research focuses on accelerating AI serving systems , enabling on-device AI , processing-in-memory (PIM) architectures , and flexible AI compiler frameworks . Recent work explores transformer optimization, heterogeneous AI semiconductors, and efficient video-language processing. Recent publications include MICRO 2025 work on PIM for LLMs, VLDB 2025 research on video-language engines, and ISCA 2025 contributions to LLM quantization. His team's projects have received funding from the K-Cloud Project , NRF Young Researcher Program , and IITP Core Technology Development grants . Teaching Innovation Award Excellence Prize, KAIST (2025) Samsung Humantech Paper Award Gold Prize (2025) IEEE Senior Member (2024) Best Paper & Distinguished Artifact Awards at IISWC (2024) and ISCA (2024) He actively supervises PhD and MS students in AI systems research and serves on program committees for top conferences like ASPLOS , ISCA , and MICRO , including organizing roles as Sponsorship Chair for MICRO 2025.
Eric Giacomo Armando is a Full Professor at the Department of Energy (DENERG) within the College of Electrical and Energy Engineering at Politecnico di Torino. He serves as a member of the Power Electronics Innovation Center (PEIC) and leads the PEEMD research group. Research Interests: Electrical Machines Power Electronics Electric Drives Energy Conversion Sustainable Motor Drive Systems Wide Bandgap Semiconductors Recent Publications focus on GaN converter technologies, flux control algorithms, thermal management via 3D-printed heatsinks, and fault tolerance in multi-phase motors. His work appears in IEEE ECCE, APEC, and industry applications journals. Supervised Students: Stefano Savio (PhD, ongoing, researching GaN multilevel inverters for motorsport) Enrico Vico (completed PhD, focusing on overcurrent protection for GaN semiconductors) Projects: Includes EU-funded E-motors, PNRR SEMDY, and commercial contracts with HBM Italia Srl and Servotecnica SpA. He holds multiple national/international patents in traction inverters and battery chargers.
Eckhard Hennig is a Professor in the Department of Electronics & Drives at Reutlingen University, specializing in digital circuit design, low-power systems, and power electronics. His work bridges academic research and industrial application, with a focus on robust multisensor systems and technical origami for engineering. Education: Dipl.-Ing. in Electrical Engineering (1994, TU Braunschweig), Dr.-Ing. (2000, TU Kaiserslautern) Professional History: Researcher at University of Kaiserslautern (1995), Fraunhofer ITWM (1996–2000), Infineon Technologies AG (2000–2008), IMMS Institute (2008–2015) His research interests include low-power CMOS technology , delta-sigma modulation , and heterogeneous system modeling , with applications in energy-efficient systems and sensor networks. Recent publications emphasize adaptive modulation techniques , GaN-based power devices , and temporal decoupling for circuit stability. He leads projects like RoMulus (robust multisensor systems) and ZEBRA (technical origami) and contributes to interdisciplinary initiatives in hearing diagnostics and energy systems. His teaching includes courses on digital electronics, mixed-signal circuit design , and system modeling , with hands-on labs in FPGA/ASIC design and GaN device optimization. He works in the Digital Circuit Technology Lab, focusing on verification, heterogeneous simulation, and industry 4.0 sensor systems.
Ferenc Simon is a full professor and deputy director at the Institute of Physics, Faculty of Natural Sciences, Budapest University of Technology and Economics (BME). He also holds a venia docendi (Privat-dozent) position at the University of Vienna. He leads the MTA-BME Spintronics Research Group (PROSPIN) and was PI on the ERC Starting Grant “SYLO”. Education & Qualifications PhD (Hungarian Academy of Sciences) Doctor of the Hungarian Academy of Sciences Habilitation at TU Budapest Habilitation (venia docendi) at Universität Wien Research Interests Professor Simon’s work spans spintronics , carbon-based nanostructures (nanotubes, graphene, fullerene peapods), superconductivity , and low-dimensional quantum systems . He employs electron spin resonance, NMR, optical and microwave spectroscopy, and isotope engineering to explore spin relaxation, Tomonaga–Luttinger liquids, and high-frequency response of superconductors. Recent projects extend into biomedical applications such as magnetic nanoparticle hyperthermia. Scientific Output & Trends His publication record (hundreds of papers, book chapters, reviews) is dominated by Physical Review Letters and Scientific Reports articles that collectively advance the understanding of spin and electronic correlations in carbon nanostructures, superconducting anisotropy, and advanced instrumentation. The 2017–2018 burst of papers on microwave absorption in superconductors and non-calorimetric hyperthermia power measurements signifies an expansion toward applied physics and medical physics. Awards & Honors MTA Talentum Award (2006) Editorial Board Member, Scientific Reports (since 2017) Editor, Fizikai Szemle (since 2018) Referee for Nature, PRL, and >10 other journals Students, Grants & Labs Simon has supervised ~85 BSc, MSc and PhD students (listed explicitly on his homepage). Current PhD students include L. Szolnoki, B. Gyüre, B. Márkus, I. Gresits, and others. He leads the PROSPIN group (MTA-BME Spintronics Research Group) and participates in the EnsembleQC consortium under Hungary’s Quantum Technology National Excellence Program.
Lisandra Flach is Professor of Economics, especially Economics of Globalization, at Ludwig Maximilian University of Munich and Head of the ifo Center for International Economics. She previously served as Temporary Academic Councillor at LMU (2014-2020) and held postdoctoral positions at institutions including the University of California, San Diego. PhD in Economics, University of Mannheim (2012) Economics Degree, Federal University of Santa Catarina (2006) Business Administration Degree, Santa Catarina State University (2006) Her research focuses on international trade, globalization economics, and trade policy. She examines global value chains, corporate taxation, multi-product exporters, and geopolitical trade challenges. Recent projects analyze EU services market integration, semiconductor industry economics, and raw material substitution. Her publications show expertise in trade gravity models, quality upgrading, WTO/GATT impacts, and supply chain resilience. Key trends include analyzing US trade policies' effects on Germany, EU-China dependencies, and Brexit implications. Capital Top 40 unter 40 (2022, 2021) Handelsblatt 100 Frauen, die Deutschland bewegen (2021) Modigliani Research Grant (2018) DFG Research Grant (2016-2018) Brazilian Prize in Economics (2007) Flach serves on editorial boards (Journal of Comparative Economics) and advisory committees (RIEF Network). She advises on EU trade policy and German economic resilience through media commentary and institutional reports.
Dr. Shaun McFadden is a Senior Lecturer in Mechanical Engineering at Ulster University's School of Computing, Engineering and Intelligent Systems, based at the Derry~Londonderry campus. He serves as the course coordinator for all undergraduate Engineering programs, including Mechanical and Manufacturing Engineering, Renewable Energy Engineering, and Electrical and Electronic Engineering, with responsibility for both full-time and part-time students. Education: BE - University College Dublin (1997) MEngSc - University College Dublin (1999) PhD - University College Dublin (2007) PG Cert in Third Level Teaching and Learning - Dublin Institute of Technology (2012) Research Interests: Dr. McFadden's research focuses on computational materials science with applications in manufacturing processes. His primary expertise includes: Solidification and phase change modeling in metallic alloys Additive manufacturing processes (especially powder bed fusion) Microgravity experimentation using International Space Station data Defect generation and powder characterization Automotive engineering applications (driveline and suspension systems) He maintains strong industry connections and has significant experience in off-road automotive design. Publication Analysis: Dr. McFadden's recent publications (2018-2025) demonstrate consistent focus on advanced manufacturing techniques, with particular emphasis on powder characterization for additive manufacturing, microgravity solidification experiments, thermal modeling of manufacturing processes, and defect prediction in metallic systems. His work shows increasing specialization in powder bed fusion technologies since 2018. Awards and Honors: Chartered Engineer (CEng) - Engineers Ireland Fellow of the Higher Education Academy (FHEA) Conference Chair for 39th International Manufacturing Conference (2023) Scientific Board Member for Eighth International Conference on Solidification and Gravity (SG24) Research Leadership: Dr. McFadden leads several significant research initiatives: Principal Investigator for NUCLEATE project (2020-2021) Co-Investigator for North West Centre for Advanced Manufacturing (2017-2022) Conference chair and proceedings editor for IMC39 (2023) He collaborates extensively with industry partners and international research teams in materials science. Laboratories and Teams: Dr. McFadden works within Ulster University's Engineering Research group, focusing on advanced manufacturing technologies. He collaborates with the European Space Agency on microgravity solidification experiments and maintains research partnerships with the International Space Station science teams.
Dr. Ádám TÓTH is a lecturer at the University of Debrecen , affiliated with the Faculty of Informatics and the Department of IT Systems and Networks . His research focuses on Modelling of Infocommunication Systems and Reliability Theory , with a particular emphasis on queueing systems, server reliability, and simulation techniques. Current position: Lecturer in IT Systems and Networks Main research areas: Queueing Systems, Reliability Analysis, Network Modeling Key methodologies: Simulation, Stochastic Modeling, Numerical Analysis Recent work includes simulation of retrial queues with unreliable servers, backup systems, and customer impatience. Topics span Collisions , Two-way Communication , and Finite-source Systems . Keywords: Queueing Systems, Reliability Theory, Computer Networks, Operations Research. Non-technical publications address Youth Sports Consumption , Business Intelligence , and Photovoltaic Silicon Analysis , showcasing interdisciplinary expertise.
François Blanchard is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS) in Montreal, Quebec. He leads the Canada Research Chair in Spatiotemporal Encryption of Terahertz Light Assisted by Computational Method and is affiliated with multiple research laboratories including LACIME (Communications and Microelectronic Integration Laboratory) and TeraÉTS Laboratory. His research focuses on advancing terahertz technology through innovative detection, imaging, and signal processing techniques. Dr. Blanchard's research interests span across terahertz science and technology, with emphasis on optoelectronics, THz spectroscopy and imaging, metamaterials, material characterization, laser technology, optical metrology, and quantum engineering. His work integrates theoretical modeling with experimental development to push the boundaries of terahertz applications in various fields including security, materials science, and communications. He has developed novel approaches combining active microelectronics with terahertz wave generation and detection through nonlinear effects, along with advanced signal processing techniques. His research program aims to achieve detection sensitivity down to the single THz photon level at room temperature, develop real-time THz detection systems with integrated spatiotemporal coding, advance multispectral THz imaging using frequency selective surfaces, explore nonlinear modeling of THz systems using chaos theory, and integrate artificial intelligence for enhanced system performance. A cornerstone of his approach involves lithium niobate photonic platforms enabling scalable, efficient, and room-temperature operation. Scientific Awards: Canada Research Chair in Spatiotemporal Encryption of Terahertz Light Assisted by Computational Method Dr. Blanchard actively supervises numerous graduate students across various research projects. His students work on topics including quality control of printed electronics using terahertz radiation, development of novel metrology methods for time domain THz spectroscopy systems, photonics solutions for THz systems based on ytterbium laser technologies, terahertz imaging systems, active terahertz metasurfaces, and deep learning enabled computer vision for terahertz radiation detection. He has secured significant research funding to advance quantum detection of terahertz light and develop applied research in quantum sciences. He leads several research teams operating within specialized laboratories including LACIME, which focuses on six areas of expertise from functional materials to communication protocols. His TeraÉTS Laboratory specializes in terahertz technology development, and his Canada Research Chair team combines innovative ideas in active microelectronics with terahertz wave generation and detection.
Claude Thibeault is a Professor in the Department of Electrical Engineering at École de technologie supérieure (ÉTS), with a Ph.D. from Polytechnique Montréal and a B.Eng. from UQAC. His research focuses on microelectronics , integrated circuit testing , and fault tolerance , particularly in aerospace and FPGA systems. He leads the LaCIME lab, which specializes in communications and microelectronic integration. His work spans radiation effects on circuits , asynchronous design , and test methodologies . Recent publications analyze cosmic radiation impacts on FPGA architectures and knowledge-based diagnostic systems . He supervises numerous graduate students in projects related to hardware acceleration , chaotic communication systems , and power-aware testing . LaCIME emphasizes industry collaboration and technology transfer , with research axes in intelligent systems and connectivity . The lab actively recruits students with backgrounds in electrical or microelectronics engineering.
