Professor Gaute T. Einevoll is affiliated with the Department of Physics at both the University of Oslo and the Norwegian University of Life Sciences (NMBU) . His research focuses on computational neuroscience , integrating methods from physics, mathematics, and computer science to understand neural mechanisms underlying biological intelligence. Key areas: Neural network modeling , brain signal analysis (EEG, MEG, LFP), computational psychiatry Leadership roles: Co-leader of Norwegian node of INCF since 2007; Partner in EU Human Brain Project since 2013 His recent work explores topological neural representations , GABAB receptor signaling , and ultra-high density electrode technology , as evidenced by publications in 2024-2025. He also develops open-source tools like LFPy and Uncertainpy for biophysical modeling. Active in science communication, he hosts the podcast "Vett og vitenskap med Gaute Einevoll" , discussing neuroscience and related disciplines.
Xiaodan Pang is a Tenure Professor at Riga Technical University (RTU) specializing in cutting-edge photonics and communications research. Her work focuses on developing next-generation optical and wireless technologies for high-speed data transmission systems, with significant contributions to silicon photonics, terahertz communications, and integrated sensing and communication architectures. Her primary research interests include: Digital signal processing Wireless communications Signal processing Fiber optics Optoelectronics Photonics Professor Pang's recent publications demonstrate leadership in overcoming fundamental challenges in high-speed communications. Her 2025 work spans silicon photonics ring-resonator modulators for optical-amplification-free links, photonic terahertz chaos systems for secure ranging, and analog fronthaul solutions for 6G networks. Key themes include neural network equalization for ultra-high baudrate transmission, energy-efficient unamplified optical links, and integrated sensing-communication systems leveraging terahertz frequencies. This research directly addresses critical bottlenecks in data center interconnects, 6G mobile infrastructure, and secure high-precision wireless applications. Her technical profile is documented through ORCID (0000-0003-4906-1704), Scopus (54407301300), and Web of Science (D-5032-2015) identifiers, with active professional engagement via LinkedIn.
Tarik Dickens is an Assistant Professor in the Department of Industrial and Manufacturing Engineering at the Florida A&M University-Florida State University College of Engineering, Florida State University. He serves as Interim Associate Chair of Materials Science and Engineering, Department Graduate Director for IME, and Associate Director of CREST CoMand. He leads the SMART-CIIM Labs and Industrial Composite Engineering (ICE) lab at the High-Performance Materials Institute. His educational background includes: Ph.D. in Industrial and Manufacturing Engineering, Florida State University (2013) M.S.I.E., Florida State University (2007) B.S.I.E., Florida State University (2005) Dr. Dickens' research pioneers integrative composite manufacturing for online prognosis of composite structures, with emphasis on triboluminescent damage detection systems. His work spans multifunctional composites, additive manufacturing automation, failure prognosis, and Industry 4.0 integration, targeting aerospace, military, and commercial applications through novel sensor-embedded composites and co-additive processing techniques. Recent publications reveal dominant trends in advanced additive manufacturing, particularly field-assisted techniques, vitrimer materials, and in-situ structural health monitoring systems. His research integrates mechanoluminescent composites with real-time damage detection, focusing on robotic additive manufacturing, multi-material systems, and Industry 4.0 connectivity for next-generation composite structures. Scientific recognition includes: InNOLEvation Challenge award ($55,000) for entrepreneurial innovation in composite technology commercialization Dr. Dickens has secured approximately $1.3 million in research funding from NSF and DOD. He has graduated 4 master's students and currently mentors 3 PhD and 1 master's student. His research bridges fundamental material science with industrial applications, emphasizing scalable manufacturing solutions and commercialization pathways. The SMART-CIIM Labs (1.0 and 2.0) and ICE lab at HPMI drive experimental research in additive manufacturing, non-destructive testing, and composite material development, featuring robotic systems for co-additive processing and triboluminescent sensor integration for real-time structural health monitoring.
Rob A. Rutenbar is the Senior Vice Chancellor for Research at the University of Pittsburgh and holds Distinguished Professorships in Computer Science (School of Computing and Information) and Electrical and Computer Engineering (Swanson School of Engineering). He also serves as Adjunct Professor at UIUC and CMU. With nearly 40 years in academia and industry, his research focuses on integrated circuit tools, nanoscale chip design statistics, and AI hardware accelerators. He led the University of Illinois' CS department (ranked #5 nationally) and spent 25 years at CMU, where he pioneered analog CAD tools and founded Neolinear (acquired by Cadence) and Voci Technologies (acquired by Medallia). Education: PhD (Computer Engineering, University of Michigan, 1984), MS (Computer Engineering, University of Michigan, 1979), BS (Electrical Engineering, Wayne State University, 1978). Research interests include analog circuit synthesis, statistical methods for nanoscale ICs, and hardware architectures for AI. Notable contributions include the first MOOC on chip design tools (60k+ learners) and the Phil Kaufman Award for lifetime contributions to EDA. His work spans over 200 publications and 14 patents, with funding from DARPA, NSF, and industry partners like Google and IBM. Awards include ACM SIGDA Pioneering Achievement Award (2021), AAAS Fellowship (2019), and NAI Fellow (2019). He has advised over 50 PhD students, many of whom lead industry and academia (e.g., Amith Singhee at IBM, Saurabh Tiwary at Google). Rutenbar's leadership initiatives at Pitt include the Momentum Funds for team science, LifeX Labs for life sciences commercialization, and the Office of Industry Partnerships to align research with industry needs.
Alexey Konstantinovich Shaitan is a Professor at the Department of Big Data and Information Retrieval and a Leading Researcher at the International Bioinformatics Laboratory within the Faculty of Computer Science at the National Research University Higher School of Economics (HSE). He also serves as a Leading Researcher at the Department of Bioengineering, Faculty of Biology, Lomonosov Moscow State University since 2012. With 17 years of scientific and teaching experience, Shaitan holds the prestigious titles of Professor of the Russian Academy of Sciences and Corresponding Member of the Russian Academy of Sciences (both awarded in 2022). Education: 2022: Professor of the Russian Academy of Sciences 2022: Corresponding Member of the Russian Academy of Sciences 2021: Doctor of Physical and Mathematical Sciences from Lomonosov Moscow State University 2010: Candidate of Physical and Mathematical Sciences 2007: Specialty in "Physics of Condensed Matter," qualification "Physicist" from Lomonosov Moscow State University Shaitan's research focuses on epigenetics, nucleosomes, and structural bioinformatics , bridging computational approaches with molecular biology to understand chromatin structure and function. His work spans from fundamental studies of nucleosome dynamics to applied research in drug discovery and disease mechanisms. He has made significant contributions to molecular dynamics simulations of nucleosomes and the application of AI in computational biology. Analysis of his recent publications reveals a strong trajectory in nucleosome structure and dynamics, epigenetic mechanisms, and computational methods development. His work demonstrates increasing integration of artificial intelligence with traditional bioinformatics approaches, particularly evident in his 2025 publications on AI in drug development. The interdisciplinary nature of his research connects physics, biology, and computer science to address complex biological questions. Scientific Recognition: Corresponding Member of the Russian Academy of Sciences (2022) Professor of the Russian Academy of Sciences (2022) Rector's personal allowance (2021-2022) Bonus for publication in a journal from List A (2025-2026) Shaitan actively contributes to academic education through teaching courses such as "Molecular Modeling" for both undergraduate and master's students at HSE. His international collaborations are evidenced by his previous visiting fellowship at the National Center for Biotechnology Information, National Institutes of Health, USA (2013-2017) and research position at Ulm University, Germany (2009-2011). He regularly participates in major conferences including the Ascona B-DNA Consortium meetings and the Moscow Conference on Computational Molecular Biology. As a key member of the International Bioinformatics Laboratory at HSE and the Department of Bioengineering at Moscow State University, Shaitan leads research at the intersection of computer science, biology, and physics. His laboratory work focuses on advanced computational techniques for understanding chromatin structure, DNA-protein interactions, and their implications for disease mechanisms and therapeutic development.
Prof. Dr. Steffen Goebbels is a Professor of Mathematics and Computer Science at Niederrhein University of Applied Sciences, Faculty of Electrical Engineering and Computer Science in Krefeld, Germany. He maintains an office in room F 202 and is actively involved in teaching and research. His academic work spans multiple disciplines with a strong focus on applied mathematics and computer science. His research interests center around 3D city modeling, mathematical optimization, and computer graphics. He has made significant contributions to the field of CityGML data processing and has developed algorithms for calculating 3D building models from land registry data and laser scan data. His work with the iPattern Institute has led to practical applications in cities like Krefeld, Leverkusen, and Dortmund. He has also contributed to neural network approximation theory and various optimization problems. Prof. Goebbels has published extensively in recent years, with publications spanning computer graphics, mathematical optimization, and machine learning. His research shows a consistent pattern of applying mathematical techniques to solve practical problems in 3D modeling and computer vision. He has also co-authored several influential textbooks on mathematics for computer science students. He has received recognition for his work through publications in reputable journals and conference proceedings, though specific awards are not mentioned in the available information. His research has practical applications in urban planning, architectural visualization, and manufacturing processes. Prof. Goebbels is actively involved in teaching mathematics courses (Mathematics 1-3), Numerical Analysis, Logic Programming, Functional Programming, and Scientific Computing. He has developed teaching materials including online courses and textbooks that are widely used in his institution.
Dimitrios Charalampidis serves as Associate Dean of the College of Engineering and holds the Huntington Ingalls, Inc., Endowed Professorship in the Department of Electrical and Computer Engineering at the University of New Orleans, with contact details including phone 504-280-7415 and email dcharala@uno.edu. His academic credentials comprise: Ph.D. in Electrical Engineering, University of Central Florida (2001) M.S. in Electrical Engineering, University of Central Florida (1998) Diploma in Electrical Engineering and Computer Technology, University of Patras, Greece (1996) Research focuses on Image Processing , Signal Processing , and Pattern Recognition with specialization in texture analysis, medical imaging, remote sensing, and FPGA-based implementations. His work bridges theoretical algorithms with hardware-accelerated solutions for real-time applications in critical domains. Analysis of 15 recent publications (2023-2015) reveals consistent innovation in machine learning for energy systems (smart grid optimization), environmental monitoring (water-level sensors, storm tracking), and underwater imaging (fish detection). Key methodological trends include dimensionality reduction, efficient FPGA implementations, and hybrid neural network approaches. No specific scientific awards beyond his endowed professorship are documented in the source material. Administrative leadership as Associate Dean suggests significant institutional responsibilities, though graduate student mentorship details and research grants remain unspecified in available information. His research infrastructure operates within the Department of Electrical and Computer Engineering, emphasizing embedded systems development and signal processing laboratories for interdisciplinary applications.
Associate Professor Chetan Singh Thakur holds a primary appointment at the Indian Institute of Science (IISc), Bangalore since 2017 and serves as an Adjunct Researcher at Western Sydney University's International Centre for Neuromorphic Systems (ICNS). He earned his PhD in neuromorphic engineering from Western Sydney University in 2016 under Professor André van Schaik, followed by a research fellowship at Johns Hopkins University with Professors Ralph Etienne-Cummings and Ernst Niebur. His academic background includes: PhD in Neuromorphic Engineering, Western Sydney University, 2016 Research Fellow, Johns Hopkins University, 2016-2017 Dr. Thakur's pioneering work focuses on translating brain computing principles into intelligent hardware systems , with core expertise in neuromorphic VLSI design, edge computing applications, and computational neuroscience. His research integrates mixed-signal circuit engineering with machine learning to develop brain-inspired processors for real-world applications. His significant contributions have been recognized through: Young Investigator Award from Pratiksha Trust Early Career Research Award by Science and Engineering Research Board - India Inspire Faculty Award for brain-inspired computing by Department of Science and Technology - India Dr. Thakur secured competitive national research funding through his award-winning proposals and leverages six years of industrial experience as a Senior Integrated Circuit Design Engineer at Texas Instruments Singapore. His current work bridges academic research and practical VLSI system development through collaborations with ICNS and IISc Bangalore.
Dr. Bo Zhao is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Houston . He leads the Thermal PhotoniX (TPX) Lab , focusing on theoretical and experimental research in thermal photonics, plasmonics, and nonreciprocal thermal radiation. His work addresses global challenges in energy conversion, thermal management, and photonics for sustainable technologies. Education: Ph.D. in Mechanical Engineering from Georgia Institute of Technology. Research Highlights : Nonreciprocal thermal emitters for energy harvesting and photonic systems Solar thermophotovoltaics and advanced radiative cooling Weyl semimetals for topological optoelectronics Experimental validation of Kirchhoff’s law violations Awards & Recognition : NSF CAREER Award (2025) 2023 Elsevier/JQSRT Raymond Viskanta Young Scientist Award NSF I-CORPS Award (2024) University of Houston’s 50-in-5 Scholar (2022) Advising & Grants : Advises over 10 graduate students including Sina, Bardia, and Yasmine Funded by NSF, DOE, and UH’s SEED Program Patent applications on nonreciprocal solar harvesting TPX Lab collaborates with institutions like Georgia Tech, Stanford, and Caltech to advance thermal photonics through interdisciplinary research.
Prof. Simone Orcioni is an Associate Professor at the Department of Information Engineering, Università Politecnica delle Marche. His research focuses on sensor systems, biomedical engineering, nonlinear signal processing, and embedded systems. He leads projects in structural health monitoring, battery management, and telemedicine solutions. Orcioni's work integrates hardware design, algorithm development, and data analytics to address challenges in infrastructure maintenance, healthcare, and sustainable energy. Education: Not explicitly listed, but his role as an associate professor implies advanced academic credentials in electrical or biomedical engineering. Research interests include wearable sensors for healthcare monitoring, IoT-enabled environmental systems, and stochastic modeling of nonlinear processes. He collaborates on interdisciplinary projects involving robotics, circular economy, and smart infrastructure. His publications span journals and conferences in signal processing, biomedical engineering, and electronics. Notable areas include electrochemical impedance spectroscopy, sleep monitoring systems, and low-cost sensor networks. Orcioni's work emphasizes practical applications, such as non-invasive vital sign detection and sustainable battery recycling processes. Awards: None explicitly mentioned. Grants and collaborations are implied through his research projects but not detailed in the text. He contributes to academic governance via his teaching and administrative roles at the university. Labs/Teams: Affiliated with the Department of Information Engineering's research groups focused on embedded systems, biomedical instrumentation, and nonlinear signal analysis. Collaborates with industry partners on projects like smart EV charging systems and telemedicine platforms.
Chen-Ching Liu is the American Electric Power Professor and Director of the Power and Energy Center at Virginia Tech's Bradley Department of Electrical and Computer Engineering. He holds a Ph.D. from UC Berkeley and has held academic roles at institutions such as Washington State University (2011-2017), University of Washington (1983-2005), and University College Dublin (2008-2015). His research focuses on power systems, cybersecurity, resilience engineering, and renewable energy integration. Education : Ph.D., Electrical Engineering, UC Berkeley (1983) M.S., National Taiwan University (1978) B.S., National Taiwan University (1976) Research Interests : Cybersecurity of power systems Smart grid resilience and restoration Electricity market mechanisms Renewable energy integration Advanced control systems for microgrids Key Awards : Member, National Academy of Engineering (2020) IEEE Fellow (1993) Outstanding Power Engineering Educator Award (2004) Doctor Honoris Causa, Polytechnic University of Bucharest (2013) Grants & Projects : Directed the WSU Energy Systems Innovation Center (2012–2017) Lead researcher on cyber-physical system security and microgrid resilience Contributed to CIGRE defense plans against extreme contingencies Labs & Teams : Director of Virginia Tech’s Power and Energy Center Developed cyber-distribution system testbeds for education and research Collaborates with industry partners on smart grid and cybersecurity initiatives
Piet Demeester is a Full Professor at the Faculty of Engineering and Architecture, Ghent University, and serves as Director of the IDLab-Department (imec/UGent/UA). His research spans optical and wireless communication networks, networked intelligence, and electromagnetic field exposure analysis. Key affiliations: Ghent University, University of Antwerp, imec Labs: IDLab (350+ researchers focusing on optical/wireless networks, cloud infrastructures, AI for robotics) His work includes foundational contributions to ultra-high-capacity wireless networking under the ERC Advanced Grant "ATTO." Scientific awards include IEEE Fellowship (2009). Publications demonstrate technical leadership in 5G/6G architectures, analog radio-over-fiber systems, and human EMF exposure modeling. Major research themes Optical/Wireless Network Integration Millimeter-Wave Communication Exposure Assessment Methodologies Photonic Antenna Systems Notable collaborations include leadership in European testbed federations like Fed4fire and co-development of standards for networked intelligence.
Krishnendu Chakrabarty is the Fulton Professor of Microelectronics in the School of Electrical, Computer and Energy Engineering at Arizona State University (ASU). He also serves as CTO of the SWAP Hub for the Department of Defense Microelectronics Commons and Director of the ASU Center for Semiconductor Microelectronics (ACME). Previously, he was the John Cocke Distinguished Professor and Chair of Electrical and Computer Engineering at Duke University. Education: B.Tech from IIT Kharagpur (1990), M.S.E. and Ph.D. from the University of Michigan (1992, 1995). His research focuses on 3D integrated circuits, hardware security, AI accelerators, and microfluidic biochips. He has authored 27 books, 930 peer-reviewed papers, and holds 24 patents. His work has been supported by NSF, DARPA, NIH, and industry partners like Intel and NVIDIA. Key awards include NSF CAREER Award, IEEE Technical Achievement Awards, Humboldt Research Award, and Distinguished Alumnus from IIT Kharagpur. He advises 44 PhD graduates and collaborates with industry leaders such as Synopsys and Cisco. His leadership roles include Editor-in-Chief of IEEE Transactions and Fellowships in ACM, IEEE, and AAAS. Research highlights include pioneering test methodologies for 3D ICs, developing AI-driven biochip solutions, and securing hardware against cyber-physical threats. His labs and teams focus on advancing semiconductor technology and healthcare applications through interdisciplinary innovation.
Magnus Karlsson is a Senior Associate Professor at Linköping University's Department of Science and Technology (ITN), within the Physics, Electronics and Mathematics division. He holds a Master of Science (2002) and a PhD (2008) in Communication Electronics from Linköping University's Norrköping campus. His research focuses on communication electronics, microwave technology for industrial heating, IoT-driven building energy optimization, and electromagnetic compatibility (EMC). He leads projects involving digital twins for historic building preservation, energy forecasting, and cloud-based environmental monitoring systems. Teaching includes four master's courses in Electronics and Systems Design: circuit board design, RF electronics, antenna theory, and EMC. He chairs the master's program planning group and serves on the Program Board for Electrical Engineering, Physics, and Mathematics. His electromagnetic compatibility laboratory at Norrköping campus supports research on antenna experimentation and EMC standards compliance. Recent work emphasizes IoT integration with historic structures and AI-enhanced energy efficiency systems.
Samuel Simon Araya is an Associate Professor at Aalborg University's Faculty of Engineering and Science, specializing in Thermal Engineering. His research focuses on Proton-Exchange Membrane Fuel Cells (PEMFC), High-Temperature PEM Fuel Cells (HT-PEMFC), and Electrolysis technologies. He leads projects like 'Data-driven Diagnosis for High Temperature PEM Fuel Cells' and 'HySTrAm: Hydrogen Storage and Transport using Ammonia.' Key areas include fault diagnosis via Electrochemical Impedance Spectroscopy (EIS), CFD modeling of electrolysis cells, and sustainable energy systems. He supervises PhD students in fuel cell durability, power-to-fuel systems, and green ammonia production. His work aligns with UN SDGs for clean energy and climate action. Notable collaborations involve developing hydrogen storage solutions and optimizing PEM electrolyzers. His recent publications address multi-objective optimization of energy systems, CFD analysis of multiphase flows, and online fault detection methods. Araya has contributed to over 84 research outputs, including journal articles, conference papers, and reviews. His research bridges theoretical models with practical applications in green hydrogen production, fuel cell performance, and electrochemical systems.
