Jānis Zvirgzdiņš is a Researcher and Lecturer at the Faculty of Engineering Economics and Management at Riga Technical University . His work focuses on circular economy, green economy, sustainable development, environmental management, urban and regional economics, energy, and real estate management . He holds a PhD and Professional Master’s degree in Economics , and earned his Bachelor's in Electrical Science from RTU in 2015. Research Interests include integrating circular economy principles into urban planning, construction, and real estate management, with a strong emphasis on policy development and climate change mitigation. He has contributed to over 20 publications in journals like the Journal of Recycling Economy & Sustainability Policy and Baltic Journal of Real Estate Economics , and his work spans topics such as sustainable resource use, green building strategies, and stakeholder-driven policy analysis. Projects he has participated in include EU-funded initiatives like Interreg Europe and Erasmus+ , focusing on high-performance wooden buildings, decarbonization, and circular economy implementation. He has also served on organizing committees for international conferences.
Associate Professor Wei-Yu Chiu is an academic at Deakin University, affiliated with the Faculty of Science, Engineering and Built Environment/School of Information Technology. His research spans system optimization, multi-objective optimization, evolutionary computation, machine learning, and control theory, with applications in smart energy systems, control systems (bilinear matrix inequality), and robotics (warehouse automation). His work focuses on smart energy systems (demand response), control systems (bilinear matrix inequality), and robotics (warehouse automation). He actively supervises Masters and PhD students and seeks postdoctoral collaborators through the Deakin Fellowship. Recent publications (2023–2026) emphasize multiagent reinforcement learning for microgrid resilience, energy-efficient textile manufacturing with deep transfer learning, and bilinear matrix inequality optimization for control systems. Topics include blockchain-enabled energy trading, path planning in robotics, and risk-constrained battery utilization. Education: PhD in Mathematics, National Tsing Hua University, Hsinchu, Taiwan Collaborations are centered on multirobot systems, transactive energy, and synthetic data generation for energy networks.
Peter Yang serves as Associate Professor of German and Chinese in the Department of Modern Languages and Literatures at Case Western Reserve University, where his work uniquely bridges engineering disciplines and humanities through renewable energy research and language pedagogy. His educational foundation includes a Ph.D. in German from the University of Utah and a Dr phil in East Asian Studies from Ruhr University Bochum. Yang's research spans two distinct domains: sustainable energy systems and German-Chinese literary studies. In energy research, he investigates renewable integration, storage solutions, and climate mitigation strategies, while maintaining active scholarship in theatrical analysis of Bertolt Brecht and Chinese playwrights. His technology-based language learning pedagogy innovations demonstrate cross-disciplinary synthesis, particularly in developing digital tools for German instruction. Analysis of his recent publications reveals a strategic evolution from literary analysis toward energy systems research, with current work emphasizing interdisciplinary approaches to marine plastic pollution, AI-driven sustainability solutions, and renewable infrastructure development across solar, wind, and geothermal domains. His scientific recognition includes: Provost Opportunity Grant ($260,000) Yang's academic career encompasses significant grant acquisition and leadership roles, including prior positions as Language Center Director at CWRU and senior research positions in China and Austria. His trajectory demonstrates consistent progression from translation work to tenure-track faculty with sustained research productivity. While specific laboratory facilities aren't documented, his collaborative publications suggest engagement with multidisciplinary teams spanning engineering departments and environmental research centers at CWRU, particularly through his renewable energy projects.
Prof. Giovanni De Carne is a Professor at the Department of Electrical Engineering and Information Technology (ETIT) at the Karlsruhe Institute of Technology (KIT). His research focuses on real-time systems in power engineering, energy storage systems, smart grid technologies, and advanced power electronics. He specializes in developing innovative solutions for grid integration of renewable energy sources, including solid-state transformers, DC microgrids, and hybrid energy storage systems. His work addresses challenges in grid stability, load management, and cybersecurity for modern power systems. De Carne leads research initiatives such as KARA, KITTEN, and EL2.0, which explore digital twins for particle accelerators and sustainable energy management. His contributions include advancements in power hardware-in-the-loop testing, voltage and frequency control strategies, and the application of machine learning in superconductivity. He has published extensively on topics like energy storage optimization, DC fast charging infrastructure for electric vehicles, and fault-tolerant grid operations. Key areas of expertise include: Smart transformer design and grid integration DC/AC converter technologies Real-time system simulation and validation Renewable energy system modeling Grid stability and resilience enhancement His research has been applied to improve grid-edge control, mitigate disturbances in power systems, and optimize energy storage solutions for high-renewable grids. De Carne's work bridges theoretical advancements with practical implementation, contributing to sustainable energy infrastructure and grid modernization efforts.
Dr. Muhammad H. Rashid is a Professor in the Department of Electrical and Computer Engineering at the University of West Florida, affiliated with the Hal Marcus College of Science and Engineering. He joined UWF in 1997 and previously served as Chair of the Engineering Department at Purdue University at Fort Wayne. His academic journey includes a Ph.D. and M.S. from the University of Birmingham (UK) and a B.S. from Bangladesh University of Engineering and Technology. Education: Ph.D. Electrical and Electronic Engineering, University of Birmingham, UK M.S. Information and Systems Engineering, University of Birmingham, UK B.S. Electrical Engineering, Bangladesh University of Engineering and Technology Dr. Rashid's research focuses on power electronics, smart power systems, microelectronics, and renewable energy technologies. He has authored 36 textbooks and over 160 technical papers, with works translated into multiple languages including Spanish, Chinese, and Korean. His educational contributions include pioneering outcome-based education methodologies and developing engineering curricula at UWF. His awards include IEEE Fellow status, the 2013 IEEE Industry Applications Society Outstanding Achievement Award, and the 2008 IEEE Undergraduate Teaching Award. Dr. Rashid is a Distinguished Lecturer for the IEEE Education Society and has served as an external examiner for international universities. As part of his academic leadership, he helped establish the Electrical and Computer Engineering program at UWF and contributed to ABET accreditation efforts. His teaching spans courses like Power Electronic Circuits and Professional Ethics, emphasizing both technical and ethical dimensions of engineering practice.
Professor David Allinson leads the Building Energy Research Group (BERG) at Loughborough University, focusing on transforming building performance for a zero-carbon future. He holds a BEng (Hons), MSc (Eng), PhD, and PGCAP, and is a Fellow of the Higher Education Academy (FHEA). His work integrates measurement and modeling to evaluate energy efficiency, thermal performance, and moisture management in buildings. Key projects include developing the Standard Assessment Procedure (SAP) 11 and evaluating technologies like SMETER through large-scale field trials. Research emphasizes test houses with synthetic occupants, the Loughborough Hygrothermal Test Facility, and post-occupancy evaluations. Completed doctoral researchers include studies on zonal heating controls, energy flexibility in buildings, and community energy schemes. His expertise spans ventilation optimization, hygrothermal simulation, and policy-driven energy feedback systems. Notable projects include the EPSRC-funded Active Buildings Centre and SCENe (Sustainable Community Energy Networks), alongside Innovate UK initiatives. He collaborates internationally through IEA EBC Annex71 and advises on retrofitting strategies for solid wall dwellings. His work bridges academic research with practical solutions for decarbonizing the built environment.
Dr. Seungbae Park is a SUNY Distinguished Professor in the Department of Mechanical Engineering at Binghamton University's Watson College of Engineering and Applied Science. He serves as Director of the Integrated Electronics Engineering Center (IEEC) and leads the Opto-Mechanics and Physical Reliability Laboratory. With over two decades of experience since joining Binghamton in 2002, Dr. Park has established himself as a leading expert in electronics packaging reliability. Dr. Park's educational background includes: BS and MS from Seoul National University PhD from Purdue University Dr. Park's research focuses on electronics packaging reliability, with particular expertise in micro/nanomechanics, optomechanics, and digital image correlation techniques. His work addresses critical challenges in electronic device reliability including thermal cycling, mechanical shock, moisture effects, and electromigration. He has pioneered methods for in-situ warpage measurement and deformation analysis of electronic packages using advanced optical techniques. Dr. Park's recent publications demonstrate a strong focus on emerging packaging technologies including 2.5D/3D integration, through-glass vias, and advanced thermal management solutions. His work increasingly incorporates machine learning approaches for process optimization and reliability prediction, reflecting the evolving nature of electronics packaging research. Dr. Park has received numerous prestigious honors: Elevated to SUNY Distinguished Professor Named IEEE Fellow for electronics packaging research Named ASME Fellow for three decades of electronics packaging innovations Outstanding poster award from ASME InterPACK 2013 Dr. Park has successfully advised over 30 PhD students and numerous Master's students, many of whom now work at leading technology companies including Apple, Intel, Samsung, and Google. His research has been supported by significant funding from industry partners such as IBM, Samsung, Intel, Analog Devices, and Corning, as well as government agencies including NASA and the Department of Energy. Dr. Park directs the Opto-Mechanics and Physical Reliability Laboratory, which features state-of-the-art equipment including a 3D printer, Digital Image Correlation system, high-speed camera, Wyko surface profiler, Bose tester, and nano-characterization system. The lab collaborates with the Integrated Electronics Engineering Center (IEEC) and the Center for Advanced Microelectronics Manufacturing (CAMM).
Dr. Lilach Goren Huber is a Senior Lecturer and R&D Projects Leader at the ZHAW School of Engineering, specializing in predictive maintenance and data-driven solutions for industrial systems. She leads multiple projects focusing on AI applications in anomaly detection (e.g., wind turbines, solar power plants), physics-informed machine learning for sensor error correction, and fault prognostics under data scarcity. Her work bridges academic research with industrial implementation, emphasizing scalable deep learning frameworks for commercial fleets and energy infrastructure. Research interests include predictive maintenance strategies, machine learning for industrial IoT, and hybrid prognostics combining domain knowledge with AI. She has published extensively in journals like International Journal of Prognostics and Health Management and Journal of Big Data , with a focus on renewable energy systems, SCADA data analysis, and cross-domain transfer learning. Current Projects: Physics-informed ML for elastomer sensors, end-to-end fault prognostics for power grids, and hybrid prognostics research. Past Contributions: Developed decision support systems for laser cutting machines, optimized hydroelectric maintenance schedules, and created risk-based frameworks for Swiss national road safety equipment. She actively contributes to the Expert Group Smart Maintenance and serves as a project leader in the ZHAW-PARC initiative. Her work addresses technical challenges like data contamination, sensor calibration errors, and real-world implementation barriers in industrial AI adoption.
Zacharenia Garofalaki is a Teaching Professor at the Department of Informatics & Computer Engineering, University of West Attica. She holds a Master’s Degree in Applied Information Systems (2015) and a Diploma in Electronic Computer Systems Engineering (2000) from Piraeus University of Applied Sciences. Currently pursuing a doctorate at the University of Piraeus, her research focuses on IoT security, network design, ad-hoc networking, and cyber-physical systems. Her professional experience includes 17 years as an IT Systems & Network Engineer, complemented by academic roles since 2016. She collaborated with the European Union Agency for Cybersecurity (ENISA) on threat landscape reports (2016-2021), contributing to annual cybersecurity trend analyses. Research contributions span vehicular networks, smart transportation systems, and IoT security frameworks such as CAPODAZ architecture. Zacharenia’s work bridges theoretical cybersecurity advancements with practical applications in critical infrastructure, healthcare, and intelligent transportation systems. Her expertise in policy-driven security models and stochastic modeling enhances IoT ecosystem resilience against evolving threats.
Rick P. Kramer is an Assistant Professor at the Department of the Built Environment, Eindhoven University of Technology, Netherlands. His research focuses on smart control of indoor environments, energy efficiency in HVAC systems, and data-driven solutions for building automation. He holds a PhD (2017) and MSc (2012) from TU/e, both in Building Services. His work addresses challenges in optimizing energy use while ensuring human wellbeing in offices, museums, and cleanrooms. Education: MSc (with honors) in Building Services, TU/e (2012) PhD (with honors), TU/e (2017) – Dissertation: 'Energy efficient indoor climate control strategies for museums' Research Interests: Rick combines data-driven techniques with expert knowledge to develop algorithms for building automation. Key areas include HVAC system diagnostics, low delta-T syndrome mitigation, and sustainable energy solutions like aquifer thermal energy systems. His work aligns with UN SDGs on climate action and sustainable cities. Awards: B.J. Max Prijs (2019) for museum environment research Best PhD Dissertation, Built Environment Department (2018) MSc Thesis Award (2013) Projects & Activities: Rick leads the B4B: Brains for Buildings' Energy Systems project (2021–2025), focusing on intelligent building energy systems. He actively contributes to academic journals, conferences, and industry collaborations. Courses Taught: Building Physics and Services Data Science for Intelligent Buildings Circularity and Energy Performance
Ina Berenice Fink is a Researcher and PhD candidate at RWTH Aachen University's Chair of Communication and Distributed Systems. She holds an M.Sc. in Computer Science (2019) and is affiliated with both the Security and Privacy Group and Cyber-Physical Systems Group. Her work focuses on securing communication in critical infrastructure and industrial environments. She has served as a part-time lecturer at FH Aachen and actively contributes to teaching through seminars, labs, and thesis supervision. Notable awards include the 2020 Women’s STEM Award for her master’s thesis on in-network security and the 2019 Female Student Travel Award. Her research spans projects like VeN2uS (low-latency critical infrastructure communication), CONSENT (smart home security), and myneData/TRINICS. She has published extensively on topics including network monitoring, resilient smart grid communication, and industrial IoT security. Her work combines programmable networking, protocol evaluation, and cybersecurity frameworks to address real-world challenges in distributed systems. In teaching, she supervises bachelor’s/master’s theses on network emulation, industrial security, and programmable data planes. Her advising record includes over a dozen theses with topics ranging from starlink performance evaluation to secure industrial MUD frameworks. She collaborates across RWTH departments and external institutions, contributing to both academic conferences and applied security solutions.
Meysam Aboutalebi is a Doctoral Research Fellow at the Department of Technology Systems, University of Oslo. He holds master's and bachelor's degrees in Electrical Engineering - Power Systems. His research focuses on developing optimization frameworks for integrating cross-disciplinary aspects into technical facets of P2P electricity trading in distribution networks, with an emphasis on resilience and smart grid technologies. Education: Master's Degree in Electrical Engineering - Power Systems Bachelor's Degree in Electrical Engineering - Power Systems Research Interests: Meysam's work spans smart grid technologies, peer-to-peer energy trading, demand-side management, distributed generation optimization, system resilience, and electricity market dynamics. His current project, WP4 of the PriTEM initiative, emphasizes cross-disciplinary integration in P2P trading frameworks. Projects and Affiliations: He is actively involved in the Privacy preserving Transactive Energy Management (PriTEM) project and contributes to the Energy Systems Modelling Group and Section for Energy Systems. His research bridges technical systems with broader energy market challenges.
Chao Zhang is an Assistant Professor in Human-Centered AI at the Human-Technology Interaction group, Eindhoven University of Technology. His research bridges psychology and technology through data-driven methods and psychological theories, focusing on behavior change, AI-human dynamics, and trustworthy systems. MSc in Human-Technology Interaction (TU/e) PhD in Intelligent Systems (TU/e, 2019) Postdoc at Utrecht University Research interests span Human-Centered AI , Explainable AI , and Behavioral Data Science . Key contributions include: Integrating psychological principles with machine learning Modeling longitudinal behavioral data Developing interpretable AI systems for lifestyle interventions Investigating social characteristics in AI-driven environments Current work includes the ENFIELD project on Trustworthy Green AI. Scientific contributions appear in CHI Conference , arXiv , and International Journal of Social Robotics . Recognized with a TU/e PhD Thesis Award nomination in 2021.
Ali Elkamel is an Adjunct Professor Emeritus at the University of Waterloo's Department of Chemical Engineering, Faculty of Engineering. His research focuses on Process Systems Engineering, Energy Systems, Environmental Engineering, and Carbon Management. He specializes in applying machine learning to optimize complex systems such as energy production, waste management, and material science. His work spans sustainability initiatives, including hydrogen production methodologies, municipal waste valorization, and eco-friendly grid modernization. He has also contributed to advancements in CO2 capture technologies and renewable energy integration. Elkamel's research often intersects with industrial applications, addressing challenges in petrochemical operations, membrane technology, and process modeling. Elkamel has published extensively on topics ranging from AI-driven education tools to novel materials for gas adsorption. His recent articles highlight trends in machine learning applications for process optimization, energy-water nexus solutions, and sustainable infrastructure design. Despite his prolific output, no formal awards or student advisement records are noted. His academic profile reflects a commitment to bridging theoretical research with practical industrial solutions, particularly in the energy and environmental sectors. Collaborations likely extend to interdisciplinary teams given his diverse research portfolio.
George Xydis is a Professor at the University of the Peloponnese, Department of Mechanical Engineering, and also holds a position at Aarhus University in Denmark. He previously served as an Associate Professor at Aarhus University from February 2017 until becoming a Full Professor in January 2023. His academic career spans multiple institutions across Europe and includes significant industry experience in the renewable energy sector. Dr. Xydis's research focuses on wind resource assessment, energy planning, techno-economics of renewable energy systems, and the energy-food nexus. His work bridges engineering, policy, and economics, with particular emphasis on practical applications of renewable energy technologies. He has developed more than 1700 MW of renewable energy projects, primarily wind, giving him extensive field experience that informs his academic work. His publication record shows a strong trend toward interdisciplinary research connecting renewable energy with environmental concerns, grid integration challenges, and novel applications like vertical farming and power-to-X technologies. Recent work demonstrates increasing focus on EU energy transition challenges, circular economy approaches, and the integration of multiple renewable technologies in complex systems. Dr. Xydis serves as Co-Editor in Chief of 'Cambridge Prisms: Energy Transitions' and as Associate Editor for several prominent energy journals. He leads multiple EU-funded research projects including TETHYS, JUSTGREEN, and JustWind4All, demonstrating his leadership in European energy research initiatives. He has supervised several PhD students working on topics including AI-based bird collision avoidance at wind farms, small-scale hydroponic systems, and portable hydrogen production systems. His research funding portfolio includes significant grants from Horizon Europe, Nordforsk, and other major European funding bodies.
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