Murat Kuzlu is an Associate Professor at Old Dominion University's Department of Engineering Technology within the Batten College of Engineering and Technology. He received his B.Sc., M.Sc., and Ph.D. in Electronics and Telecommunications Engineering from Kocaeli University, Turkey, in 2001, 2004, and 2010, respectively. Ph.D., Electronics and Telecommunications Engineering, Kocaeli University (2010) M.Sc., Electronics and Telecommunications Engineering, Kocaeli University (2004) B.Sc., Electronics and Telecommunications Engineering, Kocaeli University (2001) His research spans Smart Grid , Demand Response , and Home/Building Energy Management Systems , with a focus on Co-simulation , Blockchain , Explainable AI , and Wireless Communication . Recent publications emphasize IoT integration, transactive energy, and cybersecurity. His scientific awards include being elected a Senior Member of IEEE . He leads the Advanced Smart System Lab for Smart City and IoT Applications , which explores technologies like 5G, RF energy harvesting, and embedded systems for grid-interactive buildings.
Christopher H. Hendon is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Oregon, part of the College of Arts and Sciences. His research group, HMS Oregon, is based in the Lewis Integrative Sciences Building and operates at the intersection of computational chemistry, materials science, and food physics. B.Sc. (Adv. Hons.), Monash University (2011) Ph.D., University of Bath (2015) Postdoctoral Research, Massachusetts Institute of Technology (2017) Dr. Hendon’s research spans Materials Theory and Edible Chemical Physics . He employs quantum chemical simulations to study charge conduction, defect formation, and chemical kinetics in hybrid organic-inorganic materials, particularly metal-organic frameworks (MOFs). His group investigates redox-active MOFs, amorphization, and electronic band alignments for applications in catalysis and energy conversion. A hallmark of his work is the parallel focus on coffee science , where his lab uses laser diffraction, electrochemistry, and modeling to understand extraction kinetics, grinder fracture mechanics, and flavor thermodynamics. The publication trends reveal a strong interdisciplinary focus, blending computational chemistry with real-world applications in food and beverage science. His recent works emphasize reproducibility in brewing, particle size effects, AI in coffee, and sustainable practices, reflecting a unique integration of high-performance computation with everyday phenomena. Dr. Hendon has no listed scientific awards in the provided texts, but his influence is evident through collaborations with World Barista Champions and industry professionals. He advises a diverse team of graduate and undergraduate researchers and is actively involved in mentoring. His group collaborates widely with experimentalists in the U.S. and internationally, including through the COHOP collaboration. While no specific grants are listed, his sustained research output and lab operations suggest active funding. The group welcomes undergraduate researchers and graduate students through the UO Chemistry Department. The lab is developing into a multidisciplinary coffee research hub, aiming to integrate chemistry, physics, biology, psychology, and mathematics. This vision is supported by an extensive coffee literature repository and ongoing projects on extraction modeling, sensory science, and material sustainability.
A. Paulo Coimbra is an Assistant Professor at the Department of Electrical and Computer Engineering, University of Coimbra, where he has worked since 1996. He also holds a researcher position at the Institute of Systems and Robotics (ISR-Coimbra). His career spans electromagnetic and thermal analysis, robotics, and renewable energy systems. BSc and PhD in Electrical Engineering from University of Coimbra (1985, 1996) IEEE Member since 1995 Consultant at CWJ-Projeto SA since 2008 Co-author of 1 book, 3 book chapters, and 4 patents Research interests focus on electromagnetic compatibility , biped and hyper-redundant robotics , and vision-based navigation systems . Recent publications highlight applications in microgrid optimization , autonomous wildfire mitigation , and deep learning for environmental monitoring . Grant collaborations include projects like: SwitHome (post-stroke rehabilitation, 2018) FIREPROTECT (wildfire risk mitigation, 2017-2020) NEXTSTEP (smart substations, 2016-2020) Humanoid robot gait adaptation (2016-2019) He has contributed to over 120 conference papers and 35 journal publications, with work spanning robotics , energy systems , and environmental applications .
Wilmer PASUT is a Full Professor at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Computer Science and Statistics. He also contributes to the Interdepartmental School of Economics, Languages and Entrepreneurship for International Exchanges and the Research Institute for Green and Blue Growth. His research focuses on energy-efficient buildings, HVAC systems, and indoor environmental quality (IEQ), with a strong emphasis on decarbonization strategies and renewable energy integration. **Education**: PhD in Technical Physics (2011) from University of Padua, Postdoc at UC Berkeley’s Center for the Built Environment (CBE), and MEng in Mechanical Engineering (2007). **Research Interests**: Thermal comfort, energy-flexible buildings, plus energy houses, and the impact of climate change on building performance. He coordinates EU projects like MODERATE (Horizon Europe) and CULTURAL-E (H2020), and leads initiatives under the Italian National Recovery and Resilience Plan (PNRR). **Awards**: REHVA Young Scientist Award 2015. **Patents**: Heated/Cooled Chair Apparatus (US20140217785A1, US9833077B2). **Grants**: Overseeing projects totaling €12M+, including MODERATE (€5.2M), CULTURAL-E (€4.8M), and iNEST (€2.1M). Active in policy-making for regenerative economies via COST Action RESTORE. **Labs/Teams**: Leads the Building Performance Analysis group at Ca’ Foscari, collaborating with global partners like EURAC Research and UC Berkeley.
Dr. Luca Caracoglia is an Associate Professor in the Department of Civil & Environmental Engineering at Northeastern University. He specializes in wind engineering, wind energy systems, fluid-structure interaction, and structural dynamics under extreme climate conditions. His research focuses on mitigating wind-induced damage to infrastructure and optimizing renewable energy technologies through advanced modeling and experimentation. Education: Ph.D., Structural Engineering, University of Trieste, Italy (2001) 5-year Diploma in Civil Engineering, University of Trieste, Italy (1997) Research Interests: Dr. Caracoglia's work addresses critical challenges in wind engineering, including bridge aerodynamics, wind turbine blade stability, and tornado/downburst impact assessment. He leads the Wind Engineering Research Group (WERG), which combines numerical simulations and wind tunnel experiments to evaluate structural resilience. Recent projects involve NSF-funded initiatives on turbulence effects on large flexible structures and tornado-resistant infrastructure design. Key Contributions: Dr. Caracoglia has authored over 50 peer-reviewed articles, focusing on stochastic flutter analysis, energy harvesting from wind-induced vibrations, and performance-based wind engineering frameworks. His 2020 ASCE Fellowship and 2009 NSF CAREER Award highlight his impactful contributions. He has secured $2.7M+ in grants, including a $14M NSF collaborative grant for tornado-resistant infrastructure testing. Awards & Recognition: Fellow of the American Society of Civil Engineers (2020) NSF CAREER Award (2009) Consistently ranked among top 2% most-cited scientists in Stanford University’s global assessments (2021-2024) Labs & Collaborations: Director of the Wind Engineering Research Group (WERG) at Northeastern, collaborating with institutions like the University of Massachusetts Amherst and international partners. Active in organizing international wind engineering seminars and serving on IAWE committees.
Stefan Emrich is affiliated with the Institute of Urban Design, Landscape Architecture, and Design at TU Wien. His research focuses on applying simulation models to urban planning, facility management, and crisis response. He holds a Dipl.-Ing. (Diplom-Ingenieur) and Dr.techn. (Doctor of Technical Sciences). Research Interests: Emrich specializes in agent-based modeling, discrete event simulation, and space utilization optimization. His work addresses pandemic planning, energy-efficient manufacturing, and sustainable building design. He has contributed to projects like the MoreSpace initiative for optimizing corporate real estate through computational tools. Projects & Collaboration: He co-led interdisciplinary efforts such as the INFO project on energy optimization in manufacturing (2013) and developed the MoreSpace simulation tool for space management. His recent work includes applying agent-based models to Austria's COVID-19 response strategy (2021). Labs & Teams: Emrich is part of TU Wien's Network Lab , collaborating on simulation-driven solutions for urban and industrial challenges. His research bridges engineering, architecture, and computational science to advance practical applications in resource management and crisis mitigation.
Prof. Dr. Alexander Asteroth is a Professor of Computer Science at the Department of Computer Science , Hochschule Bonn-Rhein-Sieg (H-BRS). His work bridges Machine Learning , Surrogate Modeling , and Aerodynamic Analysis through interdisciplinary collaborations with the Institute of Technology, Resource Conservation, and Energy Efficiency (TREE) . Project leadership roles in GARRULUS (drone-based reforestation), eTa (sustainable mobility), and ELaBoR (EV charging infrastructure). Research themes: Quality Diversity Algorithms for design exploration, Bayesian Optimization , and AI in Sports Science . His publications (2017–2025) demonstrate expertise in evolutionary computation , generative models , and human-AI co-creativity . Collaborations with industry partners like GKN Driveline and academic peers (Houben, Sebastian; Hagg, Alexander) underscore his applied research focus on energy-efficient systems and sports performance modeling.
Ryan King is a senior researcher at the National Renewable Energy Laboratory (NREL), focusing on optimization, machine learning, and uncertainty quantification applied to energy systems and turbulent flows. He leads projects involving physics-informed deep learning for wind energy systems, wind farm modeling, and multi-fidelity uncertainty quantification. His educational background includes a PhD in Mechanical Engineering from the University of Colorado and a Bachelor's from MIT. He has worked on over 750 MW of wind energy projects prior to his research role. Key research interests include turbulent flows, deep learning applications in energy, stochastic optimization, and adjoint methods. He has received the NREL Outstanding Mentor Award in 2018 and 2019. His work bridges computational science with energy innovation, addressing challenges in wind farm design, climate change impacts, and renewable energy systems through advanced AI and data-driven methodologies.
Prof. Dr.-Ing. Marco Pruckner leads the Chair of Communication Networks at the University of Würzburg since 2022, following his assistant professorship in Energy Informatics at Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022). His research focuses on energy system analysis, vehicle grid integration, and future mobility systems using modeling and simulation methodologies. University of Würzburg (2022–present) Friedrich-Alexander-University Erlangen-Nürnberg (2016–2022) UC Berkeley (Visiting Scholar, 2020) Key research areas: Modeling and simulation of integrated energy systems Digital twin development for local energy systems Optimization of electric vehicle charging strategies Water-energy nexus analysis and sustainability metrics Recent publications (2022–2025) demonstrate expertise in: Smart charging algorithms for vehicle grid integration Heat pump electrification and seasonal performance modeling Battery state-of-health estimation techniques Multi-objective optimization for data centers and energy systems His team at University of Würzburg includes Daniel Bayer, Paul Benz, Jonas Schiller, and Leo Strobel. Methodologies combine system dynamics, discrete-event simulation, and machine learning for energy and mobility system analysis.
Patrick Salagnac is a Teacher-Researcher at the University of La Rochelle, France, with a focus on energy, building systems, and thermal modeling . He belongs to the CNU 60 research section and collaborates with the CNRS' INSIS scientific department. Research Focus : Modeling and simulation of energy, matter, and momentum transfers in dense/porous materials; optimization of building energy systems and envelope components for industrial and commercial applications. Recent Publications (2025-2024) emphasize adiabatic cooling metrics , thermal property estimation , and optical fiber temperature measurement in buildings, showing increasing attention to climate adaptation and industrial ventilation . Historical Contributions : Pioneering work in conductive polymer composites (2005-2008), bread baking thermodynamics (2014), and micro-CHP systems (2017-2004), demonstrating interdisciplinary expertise in thermal science and material engineering .
Katarzyna Rycerz is a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków, Poland. She holds the academic rank of Lecturer as part of the assistant professors group, with her office located at D-17, ul. Kawiory 21, room II, 3.54. Her research spans quantum computing, hybrid quantum-classical algorithms, and distributed systems, with significant contributions to workflow scheduling and complex network optimization. Dr. Rycerz's primary research focuses on quantum optimization techniques, particularly quantum annealing and variational algorithms applied to combinatorial problems. Her work bridges theoretical quantum computing with practical high-performance computing challenges, including load rebalancing in HPC systems and community detection in complex networks. She has developed software tools like QHyper for hybrid quantum-classical optimization and explored quantum solutions for thermoelectric properties in graphene and quantum game theory paradoxes. Her 15 most recent publications (2019-2025) reveal a dominant trend toward quantum-classical hybrid methods, with 80% focused on quantum annealing applications for workflow scheduling, network analysis, and optimization problems. Key themes include D-Wave system implementations, quantum game theory extensions, and thermoelectric material simulations, demonstrating a consistent shift from earlier multiscale simulation work toward cutting-edge quantum computing applications. No scientific awards are documented in the available information. Details regarding student advising, research grants, laboratory affiliations, or collaborative teams are not provided in the source materials.
Rhoda Davidson is a Professor of Strategy and current Director of MBA Programmes at EMLYON Business School , where she leads initiatives in strategic innovation and experiential learning. With a Ph.D. in Management Science from the University of Geneva and an MBA from INSEAD, she has over 20 years of experience in executive education at institutions like IMD, Duke CE, and ETH Zurich. Her research focuses on open innovation, knowledge brokering, and leadership development through action learning. Academic Roles: Professor at EMLYON Business School since 2017. Research Themes: Strategic initiative implementation, organizational change, international business, corporate entrepreneurship. Publications: 15+ works on open innovation, strategic agility, and experiential learning in executive education. Consulting Background: Founder of a boutique consulting firm specializing in strategic innovation for multinationals. EMLYON's 'Early Makers' philosophy, which she champions, integrates hard and soft skills via simulations, client projects, and digital tools to build actionable leadership capabilities. Her collaborations with IBM and case studies on companies like Ericsson and Hewlett-Packard demonstrate her commitment to real-world impact.
Horst Lichter is a Professor at RWTH Aachen University in the Department of Software Construction , focusing on software engineering, architecture, and process improvement. He actively participates in international conferences like ENASE and APSEC , contributing to workshops on quantitative approaches to software quality (QuASoQ) and continuous software engineering. Email: lichter@swc.rwth-aachen.de Office: Room 4104, Building E1, RWTH Aachen Recent Conference Memberships: PC Member for QuASoQ 2024 , APSEC-ERA 2025 , IWCT 2025 His research spans software architecture reconstruction , test automation , enterprise architecture debt , and model-driven engineering . Recent publications address challenges in software modernization, security design patterns for ML systems, and carbon footprint optimization in cloud environments. Key article trends include: 2025 studies on architecture debt prioritization , security pattern recommendation , and ML prototype tooling 2024 work on enterprise architecture debt frameworks , cloud cost optimization , and integration testing 2023-2020 publications on combinatorial testing , architecture evolution , and technical debt analytics Horst Lichter leads the Software Construction Research Group , mentoring students and collaborating on projects like automated test generation, enterprise architecture modeling, and agile process improvement. His team develops tools for metric systems, model libraries, and continuous delivery pipelines.
Jan-Niklas Koch serves as a Researcher at the Institute for Energy Research (iFE) of the OWL University of Applied Sciences and Arts (TH OWL), actively contributing to the DC-Schiene project on energy-efficient DC conductor systems for industrial applications including storage/retrieval machines, cranes, and monorail systems. He concurrently holds shareholder status at Innelekt GmbH since 2021. His academic credentials include: Bachelor of Electrical Engineering / Automation Technology (2013, TH OWL) Master of Electrical Engineering (2018, TH OWL) Research centers on Power Electronics and DC Networks , with specialized expertise in silicon carbide-based AC/DC and DC/DC converters, model-based component dimensioning, and switching technology. His work targets industrial energy efficiency through advanced DC power solutions, emphasizing reliability and performance optimization in real-world applications. Publications reveal consistent focus on power quality challenges: the 2022 study analyzes capacitor lifetime in open DC grids, while the 2014 work develops numerical methods for harmonic distortion in nonlinear loads. These contributions advance industrial DC system stability and efficiency, bridging theoretical modeling with practical implementation. Mr. Koch participates in multiple grant-funded projects including DC-Schiene (2023-2026), effiDCent (2019-2022), and Smart CHP (2013-2016), collaborating with industry partners under the Federal Ministry for Economic Affairs and Energy frameworks. His laboratory work operates within the Power Electronics and Electrical Drives working group at iFE's Lemgo campus (Building 55, Room 55.105).
Michal Zbigniew Pomianowski is an Associate Professor at the Department of Construction, Urban and Environmental Engineering, Faculty of Engineering and Science, Aalborg University. His primary research focus lies in energy systems within buildings, with specific expertise in district heating, thermal comfort, and energy performance optimization. Research Group for Energy in Buildings Key projects: PRELUDE, EDYCE, IDCS His work spans energy informatics, building physics, and sustainable urban infrastructure. Recent publications emphasize fault detection in district heating systems, thermal comfort analysis, and real-time energy optimization. Scientific awards include the prestigious Årets underviser (Year's Teacher) in 2018. He contributes to energy datasets, serves as principal investigator in multiple projects, and actively participates in international conferences like AIVC and Applied Energy.
