Rob Liddiard is a Research Associate at University College London's Bartlett School Env, Energy & Resources. His work focuses on identifying and classifying energy use patterns in non-domestic buildings through the 3DStock model , a geospatial representation of the UK building stock. He contributes to dynamic energy models like SimStock and collaborates with organizations such as the Valuation Office Agency (VOA) and Ordnance Survey AddressBase Premium.
Professor Tze Pei Chong is a faculty member at Brunel University within the College of Engineering, Design and Physical Sciences, specifically in the Department of Mechanical and Aerospace Engineering. His academic rank is Professor in the field of Aeroacoustics. He works in Howell Building 117 and can be reached via email at t.p.chong@brunel.ac.uk. Research Focus: Aeroacoustics, with particular emphasis on noise reduction techniques for wind turbines and aviation applications. Key Projects: QUADPORS (Quiet Aerofoils with Adaptive Porous Surfaces) funded by EPSRC (2021-2023), Readiness project (2018), and multiple grants from EPSRC and Vestas Wind Systems A/S (2010-2020). Publications: Recent work includes studies on slit trailing edges, synchrophasing for tonal noise reduction, porous blade treatments, and flow control using Large-Eddy Breakup Devices and riblets. His articles span both journal and conference formats, focusing on experimental validation and computational modeling. Collaborations: Works with co-authors such as Dr Jan Wissink, Prof Kai Cheng, and other researchers in international projects. His research demonstrates a consistent focus on noise reduction mechanisms in aeroacoustic systems, covering both fundamental studies and applied engineering solutions across wind energy and aviation sectors. Techniques investigated include passive flow control (porous materials, serrations) and active methods (plasma actuators), with applications in wind turbines and aircraft design. Professor Chong has been involved in grants related to next-generation aerofoil development, high Reynolds number testing, and industry collaborations with Vestas Wind Systems A/S. His research group (IMM) conducts experimental and computational studies in a quiet aeroacoustic wind tunnel facility at Brunel University.
Ilaria Gnecco is an Associate Professor in the Department of Civil, Chemical, and Environmental Engineering (DICCA) at the University of Genoa, teaching Hydraulic Infrastructures, Hydraulic Works for Territorial Defense, and Hydrology courses for Building and Civil Engineering programs in the 2025-2026 academic year. Her research centers on hydraulic engineering and hydrology with emphasis on pluvial flooding, green roof hydrologic performance under climate change, and urban flood risk management. She investigates model sensitivity to input data and system descriptions, and integrates opportunistic sensors for real-time flood monitoring in urban environments. Recent publications (2024-2025) demonstrate consistent focus on pluvial flooding modeling advancements, green infrastructure for climate adaptation, and data-driven flood risk assessment. Her work bridges theoretical modeling with practical urban water management applications, particularly examining rainfall data integration and infrastructure resilience. While specific student advising details and research grants are not explicitly documented, her active research output and teaching load indicate ongoing mentorship of graduate students and potential project leadership. She is affiliated with the CEAR-01/B research group specializing in Hydraulic and maritime constructions and hydrology, and serves on the Department Board and Quality Presidium of DICCA for academic governance and quality assurance.
Fazleena Badurdeen is a Professor of Mechanical Engineering and Director of Graduate Studies for the Manufacturing Systems Engineering Program at the University of Kentucky , where she leads research in sustainable manufacturing and supply chain systems. She holds a Ph.D. and M.S. in Industrial Engineering from Ohio University, an M.B.A. from the Post Graduate Institute of Management, and a B.Sc. in Engineering from the University of Peradeniya. Research Interests: sustainable manufacturing, lean systems, supply chain modeling, and sustainable product design. Awards: Earl Parker Robinson Chair Professor in Mechanical Engineering. Notable Contributions: development of frameworks for product sustainability, circular economy integration, and risk assessment tools using Bayesian networks and simulation. Her recent Google Scholar publications focus on additive manufacturing , digital product passports , and real-time defect detection , with keywords spanning sustainable manufacturing, systems engineering, and environmental metrics. She has also contributed to education through curriculum development in systems thinking and graduate program leadership.
Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.
Anna Bać is a faculty member at the Faculty of Architecture of Wrocław University of Science and Technology, affiliated with the Department of Architecture and Visual Arts . Her research focuses on Sustainable Architecture , Energy-Efficient Building Design , and Renewable Energy Integration . Key sub-fields include NZEB standards , Low-Carbon Construction , and Architectural Pedagogy . She has published extensively on solar heating systems, thermal storage, and sustainability in educational and urban contexts. Recent publications highlight trends in Climate-adaptive design Photovoltaic integration Passive energy systems Multi-criteria sustainability analysis
Paulo Carreira is an Associate Professor at Instituto Superior Técnico , Universidade de Lisboa. His research focuses on Building Automation , Energy Management , and Data Integration , with a particular emphasis on Smart Urban Environments and Cyber-Physical Systems . Fields: Building Automation, Energy Management, Data Privacy, Query Optimization, ETL, Streaming Query Processing Research Trends : His recent work spans from SQL Injection Attacks in LLM-integrated systems to Multi-Paradigm Modeling for Cyber-Physical Systems. Publications highlight his expertise in Energy Efficiency in buildings and BIM Integration with real-time data. Scientific Awards : Best Student Paper Award Nomination for Best Paper Award
Jonas van Ouwerkerk is a Researcher at the Chair for Electrochemical Energy Conversion and Storage Systems within the College of Engineering at RWTH Aachen University . He leads the Section Battery Grid Integration and Storage System Analysis , focusing on large-scale battery systems for energy trading and grid stability. Current research areas include Battery Storage Systems , Renewable Energy Integration , and Data-Driven Energy Modeling Key projects involve the CARL Center and 5 MW Battery Storage initiatives Recent publications highlight his work on optimizing battery operations, analyzing renewable investments for prosumers, and modeling grid-scale storage systems. He contributes to open-source energy system modeling frameworks and comparative studies of power system models. While no explicit scientific awards are documented in the provided texts, his leadership in battery integration projects underscores his significance in energy storage research.
Markus Bick serves as a Junior Professor at ESCP Business School in Berlin, Germany, specializing in Business Information Systems. His academic position focuses on the intersection of information technology and business processes, with particular expertise in knowledge management, convergent systems, e-learning, and simulation technologies. As an active faculty member, he contributes significantly to research and teaching within the business informatics domain at one of Europe's leading business schools. Professor Bick's research interests span multiple interconnected domains within business information systems. His primary focus is Knowledge Management, where he has developed frameworks for sustainable implementation of organization-specific knowledge management systems, as evidenced by his 2004 dissertation from the University of Duisburg-Essen. He also explores Convergent Systems that integrate learning and business information systems, with particular attention to interface standards and integration strategies. His work in E-Learning demonstrates how educational technologies can be effectively embedded within business processes, while his research on Simulation approaches provides methods for modeling complex business scenarios. His publications consistently bridge theoretical frameworks with practical business applications. Analysis of Professor Bick's publication record reveals a clear research trajectory from foundational knowledge management work to increasingly sophisticated explorations of mobile and ubiquitous information systems. His early work focused on knowledge management implementation strategies and building block models, while more recent publications address mobile collaboration systems, ambient intelligence applications, and IT service management in educational institutions. A significant portion of his research investigates the convergence between learning systems and business information systems, particularly how knowledge management principles can enhance both educational and business processes. His work demonstrates consistent attention to practical implementation challenges alongside theoretical development. Professor Bick maintains an active research agenda with publications spanning from 2002 to 2010, showing continued scholarly productivity. His work appears in both academic journals and professional publications, indicating relevance to both theoretical and practical audiences. He has contributed to edited volumes including encyclopedias of business information systems and handbooks on information technologies for education and training, demonstrating recognition by his peers as an expert in his field.
Ján Drgona is an Associate Professor in the Department of Civil and Systems Engineering at Johns Hopkins University's Whiting School of Engineering and a member of the Ralph S. O'Connor Sustainable Energy Institute (ROSEI). Previously, he served as a Principal Investigator and Research Data Scientist at Pacific Northwest National Laboratory (PNNL) and held a postdoctoral position at KU Leuven in Belgium. Dr. Drgona earned his BSc, MSc, and PhD in control engineering from the Slovak University of Technology. His research centers on differentiable programming and scientific machine learning (SciML) for dynamical systems, optimization, and control, with particular applications to building energy systems and industrial process control. He is the lead developer of the Neuromancer SciML library in PyTorch for solving constrained optimization, physics-informed machine learning, and optimal control problems, which became PNNL's most popular open-source repository within two years of its release. Dr. Drgona's publication record demonstrates a strong focus on bridging machine learning with physical systems and control theory. His recent work spans differentiable predictive control, physics-informed neural networks, optimization algorithms, and applications to energy systems. A recurring theme across his publications is the integration of domain knowledge with data-driven approaches to create more efficient, reliable, and interpretable systems for real-world applications, particularly in sustainable energy and building systems. As an active member of the scientific community, Dr. Drgona regularly serves as a reviewer for prestigious journals including Applied Energy, Automatica, IEEE Control Systems Letters, IEEE Transactions on Control Systems Technology, IEEE Transactions on Industrial Informatics, Control Engineering Practice, Journal of Process Control, Energy and Buildings, Journal of Control Automation and Electrical Systems, and Electric Power Systems Research. Dr. Drgona has been involved in several high-impact projects, including developing AI models that slash HVAC energy costs while predicting them with precision. He has participated in Johns Hopkins' International Energy Summit to accelerate clean technology innovation and has presented at major conferences including ACC 2025 where he co-organized workshops on Physics-Informed Machine Learning in Control and Safe Physics-Informed Machine Learning for Dynamics and Control.
Andrea Giuntoli is an Assistant Professor at the Micromechanics group within the Faculty of Science and Engineering at the University of Groningen . He holds a PhD in Computational Soft Matter and Polymer Physics from the University of Pisa (2018), followed by postdoctoral work at NIST (2018-2019) and Northwestern University (2019-2021) under the ChiMaD project (part of the Material Genome Initiative). His research focuses on theoretical and computational modeling of nanoscale building blocks for advanced polymer composites , particularly in controlling mechanical properties, impact resistance, and self-healing through polymer architecture and graphene dispersion. He has secured significant grants including a VENI grant (2022) and an NWO-XS grant (2022). Key research trends from his recent publications (2021-2025) include machine learning-optimized coarse-graining , energy renormalization methods , impact-resistant coatings , graphene-polymer interfaces , and self-healing polymer glasses . His work bridges materials science , computational physics , and applied polymer engineering . Scientific Awards: VENI Grant (2022) NWO-XS Grant (2022) He actively collaborates across institutions (USA, Netherlands) and disciplines, with research impacts in medical devices , advanced materials , and surface science . His lab at the Zernike Institute for Advanced Materials integrates multi-scale modeling with experimental validation to enhance polymer composite performance.
Dr. Annemarie Spruijt serves as an Associate Professor in the Department of Clinical Sciences at Utrecht University's Faculty of Veterinary Medicine, specializing in Internal Medicine of Companion Animals with a focus on reproduction. As an EBVS® European Veterinary Specialist in Animal Reproduction, she combines clinical practice, teaching, and research in veterinary medicine education. Her educational expertise spans veterinary education, small animal reproduction, interdisciplinary teaching and learning, and curriculum development. She has pioneered courses on first-line veterinary medicine where students complete 5- and 10-week extramural practices to facilitate their transition to becoming responsible veterinarians. Her research interests include small group learning, teacher development, student-staff partnerships, and curriculum development and evaluation. Analysis of her recent publications reveals a strong focus on educational innovation, particularly examining curriculum viability, student-teacher partnerships, and the integration of problem-based learning in online environments. Her work bridges medical and veterinary educational literature with practical workplace implementation. Her scientific contributions also include significant research in canine reproduction, particularly hormonal regulation and castration methods. EBVS® European Veterinary Specialist in Animal Reproduction As a clinician-educator-researcher, Dr. Spruijt works to build connections between medical and veterinary educational literature, external veterinary practices, and practical education implementation. She teaches multiple veterinary bachelor's courses including 'blood', 'digestion', 'respiration', 'reproduction', and other systems-based courses, as well as overseeing outpatient education in reproduction of companion animals in the Master of Veterinary Medicine program. Her work in veterinary education extends to faculty development, clinical reasoning instruction, and quality improvement initiatives across medical and veterinary education domains.
Prof. Dr. Judith Masthoff is a Professor of Human-Centered Computing at Utrecht University's Faculty of Science. Her research integrates Artificial Intelligence, User Modeling, and Recommender Systems to address challenges in healthcare, education, sports, and cultural heritage. She leads projects on adaptive systems, team formation algorithms, and bias mitigation in AI. Research Focus: Designing personalized systems for behavior change (e.g., sports training, healthcare interventions) Developing fair AI models with applications in mental health diagnostics Optimizing crowdsourced team formation using digital nudges and personality profiling Advancing methods for user-centered adaptation in collaborative environments Her recent publications (2020-2022) demonstrate a strong trend toward applied AI ethics , particularly in bias detection for healthcare algorithms, and virtual collaboration systems for education and remote work. She co-organized the GMAP 2022 workshop on Group Modeling and serves on PhD examination committees.
Professor Wassim Jabi is a Chair in Computational Methods in Architecture at the Welsh School of Architecture, Cardiff University . His work bridges computational design, digital fabrication, and sustainable building technologies, focusing on graph machine learning, non-manifold topology, and blockchain integration in architectural workflows. As a course leader for the MSc in Computational Methods in Architecture, he supervises postgraduate research and contributes to International Journal of Architectural Computing as an editorial board member. Research themes: Graph-based architectural modeling 3D printing with earthen materials Autism-informed design taxonomies Blockchain for decentralized design Machine learning in building performance Robotic fabrication workflows Recent publications analyze energy efficiency through graph ML , explore biomimetic façades for arid climates, and develop topological BIM frameworks . His team's VIRIS simulator combines architectural design with pandemic risk analysis. He serves as an external examiner at the University of Liverpool and University of East London.
Aggelos Zacharopoulos is a Senior Lecturer at Ulster University's Belfast School of Architecture and the Built Environment, serving as Course Director for the BSc (Hons) in Energy. He is a core member of the Built Environment Research Institute and the Centre for Sustainable Technologies (CST), where he leads research on solar thermal and photovoltaic systems. BSc (Hons) in Physics, University of Patras (Greece) PhD in Design, Modelling and Experimental Characterisation of Line-axis Concentrators for Solar Thermal and PV Applications (Ulster University, 2001) His research focuses on solar photovoltaic/thermal systems , building integration of renewable energy technologies , multifunctional façade glazing systems , and energy efficiency in industrial processes . He has extensive expertise in experimental characterisation using CST solar simulator facilities and has pioneered concentrating photovoltaic glazing (CoPVG) innovations for building integration. His recent publications demonstrate trends in solar energy assessment , hybrid solar technologies , thermal diode applications , and building energy performance . Key themes include solar radiation analysis, energy storage innovations, and sustainable building design. Scientific awards include: Fellow of the Higher Education Academy (2014) Aggelos has supervised PhD students at Ulster University and examined international PhD projects. He leads externally-funded projects like the Royal Society-supported CoPVG systems research and the Department for the Economy-funded Passive House Zero Emission Climate Control initiative. As a member of the editorial board for Renewable Energy journal, he contributes to solar energy research dissemination. He actively collaborates through EU COST Action TU1205 working group and has participated in international workshops in Botswana and the UK. His work aligns with UN Sustainable Development Goals 7 (Affordable Energy) and 13 (Climate Action).
