Saleh Abdel-Afou Alaliyat is an Associate Professor in Computer Science at the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Sustainable Digital Transformation (SDT) R&D Lab. Research Interests: Dr. Alaliyat's work focuses on Digital twin architecture, simulation, and visualization in offshore energy and urban sustainability Artificial intelligence, particularly deep learning, swarm intelligence, and optimization algorithms Virtual worlds, 3D environments, and human-computer interaction Agent-based modeling for environmental and aquaculture systems Computer vision and information security applications Publications: His recent work (2022-2024) emphasizes predictive digital twins for wind energy, smart city applications, computer vision for litter detection, and AI-driven curriculum development. Earlier works (2013-2019) explore agent-based modeling for disease dynamics in aquaculture and swarm optimization algorithms. Teaching: He teaches courses in Game Development, Information Security, Computer Graphics, and Swarm Intelligence at both bachelor's and master's levels. Outreach: He has delivered lectures at international conferences like ECMS 2022 and IEEE ICMSAO 2019.
Dr. Silvio Brandi is a Fixed-term Assistant Professor at the Department of Energy (DENERG) of Politecnico di Torino. He serves as Course Collaborator for multiple programs including Energy Management and Automation in Buildings (2025/26) and Energy Transition and Low-Carbon Architecture B (2025/26), while also being an invited member of the College of Architecture and Design and College of Electrical and Energy Engineering. Scientific Branch: IIND-07/B - Environmental Technical Physics Research Area: Industrial and Information Engineering (0009) His research focuses on building physics and energy systems , with a strong emphasis on deep reinforcement learning applications for building energy management. Key projects include: Commercial Research Contract (2024-2025): "Data-Driven Performance Analysis for Industrial Energy Systems" Commercial Research (2023-2024): "Advanced data-driven smart reporting systems" Recent publications highlight his work in: Co-simulation infrastructure for renewable energy communities HVAC optimization via deep reinforcement learning Transfer learning for scalable building controllers Thermal energy storage pre-training with LSTM models Dr. Brandi also contributes to software patents like "A 24-HOUR FORECASTING PROCESS FOR BUILDING ELECTRIC POWER DEMAND BASED ON DEEP LEARNING TECHNIQUES" (2024). His teaching spans Energy Engineering and Architecture for Sustainability programs across multiple academic years (2019-2025).
Jonathan R Goodman is a social scientist based at the Wellcome Sanger Institute and Cambridge Public Health, University of Cambridge, where he investigates how evolutionary science insights can address pressing societal issues including health inequality and declining public trust. His interdisciplinary approach integrates anthropology, biology, ethics, and public health to develop novel perspectives on complex social challenges. Dr. Goodman's research interests center on human social evolution, trust dynamics, inequality mechanisms, and evolutionary ethics . His work examines how evolutionary principles shape contemporary social structures and how understanding these patterns can inform more equitable public health policies. He has made significant contributions to understanding accent mimicry detection across cultural groups and developing frameworks for assessing trustworthiness in data-driven healthcare systems. His recent publications reveal a consistent focus on cultural evolution and its practical applications , with particular attention to how cooperative behaviors persist in competitive environments. His book Invisible Rivals: how we evolved to compete in a cooperative world synthesizes years of research into how humans navigate the tension between competition and cooperation. Featured in : The Guardian, New Scientist, Financial Times, Nature, and The Conversation Research Impact : Applied evolutionary perspectives on public health policy and social trust Communication : Active science communicator bridging academic research and public understanding Dr. Goodman's work demonstrates how evolutionary thinking can provide fresh insights into longstanding social problems, moving beyond traditional disciplinary boundaries to develop more comprehensive solutions to issues of inequality and trust erosion in contemporary society.
Andres Annuk serves as a Professor in Energy Supply at the Estonian University of Life Sciences , within the Institute of Forestry and Engineering's Chair of Energy Application Engineering. His research extensively explores renewable energy integration, sustainable construction, and energy system optimization. Research interests focus on renewable energy systems (wind-solar hybrids, geothermal), energy storage technologies (battery-hydrogen solutions, phase-change materials), and data-driven approaches for energy management (machine learning for forecasting, optimization algorithms). Applications span residential microgrids, building efficiency, and waste-to-energy conversion. Recent publications (2024–2025) demonstrate strong emphasis on: 1) Machine learning applications in energy infrastructure (soil stress prediction, solar data imputation), 2) Hybrid renewable systems (wind-hydrogen microgrids, geothermal co-generation), and 3) Sustainable construction (thermal storage materials, life-cycle assessment). Technical methodologies frequently involve finite element analysis, optimization algorithms, and stochastic modeling.
Dariusz Masłowski serves as a Lecturer at the Department of Logistics, Opole University of Technology, based in room ME-309c. His contact details include phone number 72 697 6199 and email d.maslowski@po.edu.pl, with a professional website at http://maslowski.opole.pl. His academic profile centers on practical logistics applications within urban environments and transport systems. His research spans urban logistics, Smart Cities, telematics, transport optimization, and management. With over 60 publications in national and international journals plus two books on urban logistics, his work emphasizes real-world implementation of logistics solutions. Key interests include forensic logistics applications, telematics integration, and sustainable urban mobility frameworks. Analysis of his 2021-2025 publications reveals strong focus on urban freight systems, safety in logistics operations, and Industry 4.0 applications. Recurring themes include risk management in oversized transport, bioterrorism prevention through forensic logistics, and telematics solutions for traffic optimization. His work consistently bridges theoretical models with practical urban challenges. Dr. Masłowski actively supervises the student scientific circle SKN LogPoint, providing mentorship for logistics-focused student research initiatives and fostering academic development in the field.
Mustafa Al-Adhami serves as Lecturer in Digital Built Environment at Birmingham City University, specializing in digital architecture and sustainability. With over a decade of experience across academia and industry, he teaches architecture and built environment courses at undergraduate and postgraduate levels while leading research in Building Information Modeling (BIM), reality-capturing technologies, and IoT applications. Previously, he held academic positions at the University of Huddersfield and Nottingham Trent University. His research integrates cutting-edge digital tools to address sustainability and efficiency challenges in infrastructure. Key focus areas include VR/AR for construction quality control, machine learning-driven energy prediction frameworks, and automated digitization of critical assets like railway bridges. This work bridges civil engineering, computer science, and sustainable design through practical implementations in real-world built environments. Recent publications reveal strong trends in applying extended reality for infrastructure assessment and real-time building performance monitoring. His 2025 systematic review on buried infrastructure condition assessment demonstrates leadership in synthesizing emerging techniques, while 2020-2022 work on thermal comfort evaluation and railway bridge digitization shows consistent innovation in merging IoT with traditional engineering practices. Dr. Al-Adhami's industry collaborations include KTP research developing semi-automated BIM solutions for railway infrastructure. His professional background spans UK and Middle Eastern AEC firms where he executed design documentation, building surveys, and technical drawing production. Current academic work emphasizes translating industry challenges into pedagogical frameworks for built environment education.
Professor Xiaohui Liu is a distinguished Professor of Computing at Brunel University London, serving within the Computer Science department of the College of Engineering, Design and Physical Sciences. He maintains his office in the Wilfred Brown Building (Room 218) and has established himself as a leading figure in intelligent data analysis and artificial intelligence research. With over 20 years of academic leadership, Professor Liu has held significant visiting appointments including Honorary Pascal Professor at Leiden University (2004), Visiting Scientist at Harvard Medical School (2005), and Visiting Professor at the Chinese Academy of Sciences (2010). Professor Liu's research spans intelligent data analysis, deep learning, dynamical systems, human factors, innovative AI applications, optimisation, statistical pattern recognition, and trustworthy decision making. His work bridges theoretical advances with practical implementations across various industries, demonstrating exceptional translational impact. He has pioneered approaches that integrate artificial intelligence with data science to enable effective data interpretation and trustworthy decision-making systems, with applications spanning healthcare, manufacturing, and business domains. Analysis of Professor Liu's recent publications reveals a strong focus on transformer architectures, transfer learning, and optimization techniques applied to real-world problems. His work demonstrates consistent innovation in neural network architectures, particularly for anomaly detection, fault diagnosis, and recommendation systems. The publications show interdisciplinary applications spanning manufacturing, healthcare, digital marketing, and network science, reflecting his commitment to solving practical challenges through advanced computational methods. Clarivate Highly Cited Researcher for 11 consecutive years (2014-2024) World's top 2% of scientists by Stanford University (2020-2024) ScholarGPS Highly Ranked Scholar – Lifetime: Neural Network (2022-2024) Daniel Berg Award (2023) Research.com United Kingdom Leader Award in Computer Science (2023-2025) IDA Founders Award (2025) Professor Liu has secured substantial research funding from diverse sources including the European Commission, Innovate UK, Royal Society, and EPSRC. His current projects include AI-assisted tax assessment, intelligent data-driven pipelines for manufacturing certified metal parts, and maintenance models for zero-unexpected-breakdowns. He leads collaborative efforts through knowledge transfer partnerships with industry partners like Veritas Advisory Limited and has directed multiple European Commission-funded initiatives focused on IoT platforms, water resource management, and predictive maintenance systems. His research group actively mentors PhD students and collaborates with international partners across multiple continents. Professor Liu leads research activities within the IEHS and CSSB research groups at Brunel University, fostering interdisciplinary collaboration between computer scientists, engineers, and domain experts. His teams integrate expertise in neural networks, optimization algorithms, and statistical pattern recognition to develop innovative solutions for complex real-world problems. The research environment emphasizes both theoretical rigor and practical application, with strong industry partnerships ensuring that research outputs deliver tangible societal and economic impact.
Sérgio Filipe Carvalho Ramos serves as Coordinator Professor at the School of Engineering (ISEP) of the Polytechnic Institute of Porto (IPP), where he has held academic positions since 2001. Since 2021, he directs the Bachelor Program in Electrical Engineering - Electrical Power Systems and previously served as deputy director of the Electrical Engineering Department (2018-2020). He maintains active research collaborations with international institutions including Universidade de Vigo and Universidade da Coruña in Spain, and UNESP in Brazil. His educational background includes a PhD (2015) and MSc (2006) in Electrical and Computer Engineering from the University of Lisbon - IST. His research focuses on smart grids, energy communities, data mining applications in power systems, and renewable energy optimization . He has pioneered work in smart buildings optimization, shared PV generation, and flexible power contracts through significant R&D projects. The analysis of his recent publications reveals strong trends in energy community modeling , with 8 of the 15 most recent papers addressing peer-to-peer energy sharing, community optimization, and local market design. His work increasingly integrates machine learning for forecasting (particularly for EV integration and PV generation) and employs advanced optimization techniques including game theory and MBNLP methods. The research consistently targets practical implementation in smart grid contexts with emphasis on real-world applicability. Premio REN 2008 Scientific Publication Merit from IPP (2011, 2015, 2023) Ramos has supervised 2 PhD students (ongoing), 29 MSc, 6 ERASMUS, and 116 BSc students. His grant portfolio demonstrates exceptional success in securing competitive funding, including FCT projects BENEFICE and SPET as PI/Co-PI, the EU-funded SATCOMM project coordinating Atlantic energy pilots, and multiple Honda Research Institute consultancies. His research group has successfully coordinated over 20 national and international R&D projects with total funding exceeding €5M. As a core researcher in the GECAD research group, he leads initiatives in smart buildings and energy communities. He serves as General Secretary for IPP at ATHENA European University and participates in the CARPE Network's Sustainable and Smart Cities working group, demonstrating institutional leadership beyond his departmental responsibilities.
Ruben Diogo Macedo Barreto is a researcher at the Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD) within the Polytechnic Institute of Porto's School of Engineering (ISEP). He holds a Bachelor's degree (2019) and an Integrated Master's degree (2023) in Electrical and Computer Engineering, achieving distinction in both. His work focuses on energy communities, demand response, smart grids, and IoT frameworks. He has contributed to 17 scientific publications, including journal articles (e.g., IEEE Access, Energies), conference papers (e.g., IEEE EEEIC, ICEER), and book chapters. His research addresses energy privacy, electric vehicle integration, and AI-driven optimization models. He has participated in four major research projects: SPEAR (2019-2020), TIoCPS (2020-2022), F4iTECH (2022-2023), and the ongoing NGS (2023-) and PRECISE (2024-) projects. His work has been recognized with a Best Oral Presentation award at ICEER 2020.
Tara Cavalline, Ph.D., P.E., is a Professor in the Department of Engineering Technology and Construction Management at the University of North Carolina at Charlotte. Her research focuses on concrete and cementitious materials, durability, sustainable construction, and transportation infrastructure, including bridge and pavement management systems. Registered Professional Engineer in four states Active in Transportation Research Board (TRB) and American Concrete Institute (ACI) Recipient of the 2014 Lee College Excellence in Undergraduate Teaching Award Her work emphasizes optimizing concrete mixtures, quality assurance in construction, and leveraging recycled materials for sustainable infrastructure. She has led numerous federally and state-funded projects, including FAA and FHWA collaborations. Recent publications highlight advancements in UAV-enabled bridge inspection, performance-engineered concrete mixtures, and thermal properties of sustainable materials. She also contributes to technical guidelines for concrete recycling and quality control practices. 2014 Lee College Excellence in Undergraduate Teaching Award 2015 ASEE Engineering Technology Division Best Paper Award Dr. Cavalline mentors student teams and co-advises the UNC Charlotte ACI chapter, which has earned multiple national recognitions. Her research bridges laboratory testing, field trials, and policy development for concrete infrastructure.
Yuting Chen is an Assistant Professor in the Department of Engineering Technology and Construction Management at UNC Charlotte, with a Ph.D. in Civil Engineering from the University of Toronto (2017). She also holds a Master of Management in Construction Management from Tongji University (2012) and a Bachelor of Science in Cost Estimating and Control from Shandong Jianzhu University (2009). Doctor of Philosophy, Civil Engineering, University of Toronto, 2017 Master of Management, Construction Management, Tongji University, 2012 Bachelor of Science, Cost Estimating and Control, Shandong Jianzhu University, 2009 Her research focuses on data analytics in construction safety, automation/robotics/virtual reality (VR)/BIM integration, organizational and individual resilience in safety contexts, and risk management maturity. Recent studies include UAV-BIM applications for safety monitoring and resilience-based safety climate models. Selected publications highlight her work in applying data envelopment analysis (DEA) to safety efficiency, developing predictive resilience frameworks, and analyzing interpersonal conflict impacts on construction safety. Her research bridges technological innovation with human factors in construction environments. ASCE Construction Research Council Best Paper Award (2018) Doctor Completion Award, University of Toronto (2017) SGS Conference Travel Grant, University of Toronto (2016) Purdue Postdoc Conference Travel Grant (2018) Heavy Construction Association of Toronto Graduate Scholarship (2014) Far East Horizon Scholarship, Tongji University (2011) She serves as a reviewer for journals including the Journal of Safety Research and Construction Engineering and Management, and is an Associate Member of ASCE and CSCE. Her teaching includes Construction Planning and Occupational Safety courses.
Adel Mhamdi serves as Associate Professor and Chair of Process Systems Engineering within the Faculty of Mechanical Engineering at RWTH Aachen University. Based in the Research building NGP2 (AVT, BTA [5001]) at Forckenbeckstraße 51, Aachen, he holds the position of Senior Academic Councillor and maintains active research leadership in chemical process engineering. His research spans dynamic modeling, optimization, and control of complex chemical systems with emphasis on sustainable process design. Key focus areas include electrified biodiesel production, microgel synthesis with tailored properties, reactor intensification, and hybrid mechanistic/data-driven modeling approaches. He integrates experimental validation with computational techniques such as Raman spectroscopy, CFD, and Bayesian optimization to address challenges in energy efficiency and product quality. Analysis of his 2022-2025 publications reveals dominant trends in electrification of chemical processes (particularly biodiesel), advanced microgel synthesis methodologies, and innovative control strategies for flexible operation. His work consistently bridges fundamental polymer chemistry with industrial-scale process optimization, demonstrating strong interdisciplinary collaboration through co-authored datasets and experimental validations. Dr. Mhamdi operates within the AVT (Aachener Verfahrenstechnik) research ecosystem at RWTH Aachen, leveraging shared infrastructure for millireactor development, process monitoring, and plantwide control systems. His laboratory focuses on translating theoretical models into practical implementations for sustainable chemical production.
Carlos Fernández Bandera is a Part-Time Lecturer at the University of Navarra , affiliated with the Institute of Biodiversity and Environment (BIOMA) and the SAVIArquitectura Sostenibilidad Ambiental Vivienda Industrialización y Arquitectura research group. His work focuses on building energy modeling, artificial intelligence in architectural design, and sustainable decarbonization strategies. Education: PhD in Architecture, University of Navarra (2016), thesis: "Artificial intelligence as inspiration for generating and designing building thermal models" Research Interests: Carlos specializes in building energy modeling and model calibration methodologies, leveraging artificial intelligence to optimize thermal performance. His work addresses photovoltaic self-consumption , air infiltration validation , and circular economy applications in construction. He investigates digital twin technologies for teaching and designing sustainable buildings. Publication Trends: His recent articles (2025–2024) emphasize HVAC optimization , 3D element interoperability between BIM and BEM, and climate-specific calibration for Mediterranean and high-rise contexts. He explores renewable energy integration and circular economy in food sector sustainability. Correspondence: Email: cfbandera@unav.es
Péter Kállai is an Associate Professor at Eötvös Loránd University's Department of Human Rights and Politics, affiliated with the Institute of Political and International Studies. His work focuses on minority rights, legislative representation, and legal challenges under illiberal regimes. Academic Rank: Associate Professor Institution: Eötvös Loránd University Department: Department of Human Rights and Politics Research interests include: Political representation of ethnic minorities and Roma communities Analysis of Hungary's electoral system and minority rights Human rights law and EU governance Media freedom under authoritarian regimes Comparative studies of Eastern European minority policies Recent publications analyze trends in minority representation, electoral biases, and legal frameworks in Hungary and Eastern Europe. His work often intersects with critiques of illiberalism and democratic backsliding. Contact: kallai.peter@tatk.elte.hu
Dr. Semih PAK, a full-time academic researcher at Karabük University's Faculty of Technology, Department of Mechatronics Engineering, focuses on Artificial Intelligence, Optimization Algorithms, and Embedded Systems. His work bridges mechatronic engineering with renewable energy and next-generation communication technologies like 6G. BSc in Mechatronics Engineering (2014), MSc in Mechatronics Engineering (2019), and PhD in Electrical and Electronics Engineering (2021), all from Karabük University. His research explores AI-driven optimization for wind energy systems, 6G microstrip antennas, and intelligent group elevator control. Collaborations include Prof. Dr. Ali Uysal (2017-2019) and Prof. Dr. Hilmi Aygün and Bayram Köse (2021-2022). Publications highlight interdisciplinary applications of AI and algorithmic efficiency improvements. While his scientific awards are not documented, his work emphasizes practical implementations in renewable energy and smart building systems. No specific labs or teams are mentioned in his profile.
