Dr. Ihab Hijazi is a researcher at the Chair of Geoinformatics , Technical University of Munich, specializing in 3D geospatial modeling and BIM-GIS integration . He teaches courses such as CAFM - Facility Management and GIS and contributes to advancing CityGML standards and urban digital twins . Research Focus : Hijazi’s work bridges Building Information Modeling (BIM) and Geographic Information Systems (GIS) , emphasizing interoperability , semantic transformation , and smart city infrastructures . His projects include the Smart Sustainable Districts (SSD) and Smart District Data Infrastructure , focusing on urban energy systems and data harmonization. Publications highlight his contributions to CityGML utility networks , urban growth simulations , and semantic modeling frameworks. He actively develops 3DCityDB and participates in standardization initiatives like the DIN Spec 91607 Digital Twin for Cities .
Francine Battaglia is a Professor and Chair of the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. She directs the Advanced Simulations for Computing ENergy Transport (ASCENT) Laboratory. Her research focuses on computational fluid dynamics (CFD) applications in building energy systems, renewable energy, turbulent multiphase flows, and combustion. She holds a PhD in Mechanical Engineering from Pennsylvania State University (1997), and MS/BS degrees from SUNY Buffalo (1992, 1991). Research interests include CFD modeling for HVAC optimization, natural ventilation design, pathogen dispersion mitigation, and biomimetic aerodynamics inspired by insect flight. Her work bridges engineering, biology, and environmental science, addressing challenges in energy efficiency, public health, and sustainable architecture. Key contributions include developing predictive models for hydroplaning safety, solar chimney systems, and microbial fuel cells. She has received accolades such as the ASME Fellow distinction (2009), MAC Academic Leadership Fellowship (2019-2020), and Virginia Tech’s Teaching Excellence Award (2016). Her articles span CFD advancements in fluidization, combustion, and ventilation strategies, emphasizing practical applications in energy systems and public health. The ASCENT Lab collaborates on adaptive HVAC technologies and eco-friendly building designs, reflecting her dedication to interdisciplinary innovation. Awards: MAC Leadership Fellow, ASTFE Fellow, ASME Dedicated Service Award Education: PhD (Penn State), MS/BS (SUNY Buffalo) Labs: ASCENT Lab (focusing on CFD and energy transport)
Rafael Guedez Mata is a Researcher at the Energy Department of KTH Royal Institute of Technology , specializing in techno-economic modeling for energy conversion and storage technologies. He holds a PhD from KTH and completed an executive program in Management and Leadership at MIT Sloan. His research focuses on optimizing solar power plants, thermal energy storage, and supercritical CO₂ systems, with projects funded by the EU, Swedish Energy Agency, and industry partners. As a Principal Investigator (PI), he leads high-impact projects such as SOLARSCO2OL and SHARP-sCO₂, advancing hybrid solar and supercritical CO₂ technologies. He has supervised over 60 MSc theses and received the PhD Supervisor of the Year 2021 award. He teaches courses like Large Scale Solar Power (MJ2500) and Energy Storage Technology (MJ2386) , and is Deputy Director of the Sustainable Energy Engineering MSc program. His professional roles extend beyond academia: he co-founded Europe Power Solutions , advises firms like Naventus Corporate Finance and Odqa Renewable Energy Technologies , and previously worked at SolarReserve and Total’s Solar Energy division. His work bridges academia and industry, emphasizing sustainable energy solutions. Key technical contributions include optimizing hybrid solar-PV plants, power-to-ammonia systems, and thermal storage integration. His publications (80+ papers) address system design, economic modeling, and climate resilience. Current projects include decarbonizing industrial sectors via power-to-heat systems and assessing environmental impacts of stationary batteries.
Roine Vestman is a Professor of Economics at Stockholm University and a visiting researcher at the Swedish House of Finance. He serves as the director for CeMoF and is a Research Fellow at CEPR. Additionally, he holds significant advisory positions including board member at AP7 (Sjunde AP-fonden), scientific advisor to the Swedish Debt Office (Riksgälden), and has previously advised the Swedish FSA (Finansinspektionen) and government inquiries on macroprudential policy. Vestman's educational background includes: Ph.D. in Economics from New York University, USA M.Sc. degree from Stockholm School of Economics Professor Vestman's research focuses on household finance, examining how individuals make consumption, savings, and housing decisions and how these choices impact the broader economy. His work specifically investigates pension plan design, the functioning of mutual fund industries, and household debt dynamics. His research combines theoretical models with empirical analysis of detailed Swedish data to provide insights into financial behavior and policy implications. Vestman has made significant contributions to understanding how default options in pension systems can be optimized to improve outcomes for passive investors. His recent publications demonstrate a strong focus on household financial decision-making, with particular attention to pension systems, housing markets, and investment behavior. Vestman's work often employs sophisticated empirical methods using detailed administrative data from Sweden, allowing for nuanced analysis of household financial behavior. A recurring theme across his publications is the examination of how financial institutions and policies affect individual economic outcomes, with implications for designing better financial products and regulatory frameworks. Through his advisory roles at AP7, the Swedish Debt Office, and previous engagements with Sveriges Riksbank and Finansinspektionen, Vestman actively translates his research into practical policy recommendations. His work on default pension fund allocation has particularly influenced discussions about how to improve retirement savings systems through personalized approaches that consider individual financial circumstances beyond just age.
Massimo Bongiorno is an Assistant Professor in Electrical Engineering at Chalmers University of Technology. He holds a Master’s degree in Electronics Engineering from the University of Palermo (2002) and earned his Licentiate and PhD from Chalmers University. His research focuses on power electronics applications in power systems, particularly grid-forming converter systems, power quality, and renewable energy integration. MSc in Electronics Engineering (University of Palermo, 2002) Licentiate and PhD (Chalmers University of Technology) Research interests include: Power electronics in power systems Grid-forming converter stability Renewable energy integration Modular multilevel converter design Small-signal and large-signal stability analysis Energy storage system applications Recent publications highlight trends in: Converter control strategies for grid stability Dynamic modeling of power electronics systems Applications in offshore wind and hydro microgrids Impedance analysis and resonance mitigation Advanced fault ride-through techniques Multi-terminal HVDC grid control
Associate Professor Chengguo Zhang is a researcher at the University of New South Wales (UNSW Sydney) specializing in Mining Engineering and Geomechanics . His work focuses on improving mining safety and sustainability through fundamental and applied research on dynamic rock mass failures , groundwater-mining interactions , and data-driven visualization technologies . He currently serves as the Postgraduate Research Coordinator for the School of Mining Engineering. PhD in Mining Engineering from UNSW Sydney (2015) Coordinates postgraduate research programs Recipient of multiple teaching and research awards Research Interests: Zhang's work addresses critical mining industry challenges through: Quantification of energy sources and dissipation in rock masses for rockburst management Integration of AI data analytics and 3D visualization for geotechnical risk assessment Mine subsidence and coupled hydro-mechanical behavior of rock discontinuities Development of digital ground control management systems Article Trends: His recent publications demonstrate expertise in: Numerical modeling of rock fracturing mechanisms Nonlinear fluid flow analysis in fractured rock masses Shotcrete and ground support system evaluation Hydro-mechanical coupling during shear processes Energy-based coal burst risk classification Scientific Awards: Tim Shaw Award for Innovation in Teaching (2024) International Outstanding Young Scholar Award (2023) UNSW Education Excellence Award (2021) UNSW Research Excellence Award (2018) Research Supervision: Supervises 12 active PhD students (9 as primary/joint supervisor) and has guided 11 PhD completions (7 as primary/joint supervisor), including 3 Dean's Award recipients. Focuses on numerical modeling, data visualization, and machine learning applications in mining geomechanics.
Dr. Nabil Nasr serves as Associate Provost for Academic Affairs and Director of the Golisano Institute for Sustainability (GIS) at Rochester Institute of Technology (RIT). He also holds leadership positions as CEO of the REMADE Institute and Member of the United Nations Environment Programme (UNEP) International Resource Panel (IRP). His academic journey includes a BS from Helwan University (Egypt), M.Eng. from Pennsylvania State University, and MS and PhD from Rutgers University. Dr. Nasr is an internationally-recognized leader in sustainability research with expertise spanning sustainable manufacturing, remanufacturing, circular economy, and sustainable product development. His work emphasizes systems thinking and technological innovation to build regenerative industrial systems. He has pioneered research in value-retention processes, establishing frameworks for remanufacturing, refurbishment, repair, and direct reuse as strategic approaches to resource efficiency. His publication record demonstrates significant contributions to circular economy implementation across multiple sectors. Analysis of his recent work reveals strong focus on practical applications of circular strategies in industrial systems, automotive production, and urban mobility solutions, with emphasis on developing decision support tools and business cases for sustainable practices. Remanufacturing Industries Council 2017 ACE Award Rochester Engineering Society 2017 Engineer of Distinction APRA Asia-Pacific Most Influential Expert on Remanufacturing Award (2016) Institute of Industrial and Systems Engineers (IISE) Fellow Dr. Nasr has established numerous research centers and initiatives including the world's first university-based remanufacturing research hub (1997), the Center for Integrated Manufacturing Studies (2002), and the REMADE Institute - the largest recycling and remanufacturing consortium in the United States. His leadership extends to international forums including the UN Environment Programme, World Trade Organization, and OECD, where he influences global sustainability policy.
Juan Alcacer is the James J. Hill Professor of Business Administration at Harvard Business School. He holds a PhD in International Business and Strategy from the University of Michigan, an M.A. in Economics, an MBA in Finance, and a Computer Engineering degree. His research focuses on international strategies, location decisions, and agglomeration economies. PhD - University of Michigan (Ross School of Business) MA - Economics, University of Michigan MBA - IESA Computer Engineering - Universidad Simon Bolivar Alcacer’s work examines how firms build competitive advantage through geographic choices, supply chain dynamics, and knowledge transfer. Recent projects analyze Brexit’s impact on investment and the role of internal/external agglomeration economies. His publications span top journals like Strategic Management Journal , Management Science , and Journal of International Business . Awards include the 2024 HBS Student Association Faculty Teaching Award and the 2016 Michigan Ross Distinguished PhD Alumni Award. 2024 HBS Student Association Faculty Teaching Award 2019 Greenhill Award for Field Global Immersion program 2016 Michigan Ross Distinguished PhD Alumni Award 2013 Meritorious Service Award from Management Science At HBS, he teaches required MBA strategy courses, Executive Education programs, and PhD seminars. His consulting spans global corporations on competitive advantage and location strategy.
Univ.-Prof. Dr. Michaela Sambanis is a Professor of English Didactics at the Institute of English Philology within the Department of Philosophy and Humanities at Freie Universität Berlin. She has held this position since 2011 and previously served as the managing director of the Institute from Winter semester 2017/2018 to October 2019. Her academic journey includes research work at the Transfer Center for Neuroscience and Learning at the University of Ulm (2008-2011), completion of her habilitation in 2006, and her promotion in 2001. Professor Sambanis's research centers on the innovative intersection of educational neuroscience and language teaching methodology. Her work pioneers the field of Positive Foreign Language Didactics, connecting positive psychology with language education. She investigates embodied cognition approaches, particularly movement-based learning, and explores theater methods and arts integration in language instruction. Her research also addresses teacher well-being and health, multilingualism in educational settings, and the application of neuroscience findings to practical classroom situations. The k2teach project represents her current focus on teaching-learning labs in English teacher education. Her scholarly output demonstrates a consistent trajectory toward integrating neuroscience with language pedagogy, with recent publications increasingly addressing mental health, digital transformation in education, and positive psychology applications. The evolution of her work shows a progression from practical teaching methods to increasingly sophisticated neurodidactic frameworks that bridge scientific evidence with classroom practice. Professor Sambanis serves on multiple scientific advisory boards including the Goethe Institut in Munich, the Transfer Center for Neuroscience and Learning at the University of Ulm, and the Schlözer Program for Teacher Education. She is also the founding chair of the cross-state E&M Berlin-Brandenburg section and a member of the German Society for Foreign Language Research (DGFF). Her editorial work includes the SELT book series on English Language Teaching. Her teaching responsibilities include supervising master's theses in English teaching, and she has developed numerous teaching-learning laboratories that connect theoretical knowledge with practical application in teacher education. Her work demonstrates a strong commitment to evidence-based foreign language didactics that incorporates insights from neuroscience, psychology, and educational research.
Michael S.D. Agus, M.D. is the Constantine Anast, MD Professor of Pediatrics at Boston Children's Hospital, which is affiliated with Harvard Medical School. He serves in the Department of Pediatrics with a focus on critical care and endocrinology. Dr. Agus is a prominent researcher in pediatric critical care medicine, with particular expertise in glycemic control, diabetic ketoacidosis, and sepsis management in critically ill children. Dr. Agus's research interests center around optimizing care for critically ill children, with a strong focus on glucose management in pediatric intensive care settings. His work has significantly contributed to understanding the optimal blood glucose ranges for critically ill children, the management of diabetic ketoacidosis in pediatric patients, and the role of corticosteroids in pediatric septic shock. He has led several major NIH-funded clinical trials including the HALF-PINT (Heart and Lung Failure-Pediatric INsulin Titration) trial and the SHIPSS (Stress Hydrocortisone In Pediatric Septic Shock) study. Dr. Agus has been instrumental in developing clinical guidelines for glycemic control in critically ill children, as evidenced by his contributions to the Society of Critical Care Medicine Guidelines. His research employs advanced methodologies including transcriptomics to identify subclasses of pediatric septic shock, potentially enabling more personalized treatment approaches. His work bridges the gap between critical care medicine and endocrinology, focusing on how metabolic management affects outcomes in critically ill children. Dr. Agus has received significant recognition for his research, with numerous high-impact publications in leading medical journals including Critical Care Medicine , Pediatric Critical Care Medicine , and The Lancet Child & Adolescent Health . His work on glycemic control has been particularly influential in shaping clinical practice for critically ill children with diabetes or hyperglycemia. As a principal investigator on multiple NIH grants, Dr. Agus leads a robust research program focused on improving outcomes for critically ill children. His work extends beyond direct patient care to include healthcare systems research, examining optimal staffing models in pediatric intensive care units and building global collaborative research networks in pediatric critical care. He is actively involved in translating research findings into clinical practice through guideline development and educational initiatives.
Professor Masashi Okubo at Waseda University's School of Advanced Science and Engineering specializes in electrochemistry and energy materials development. With cross-appointments at Kyoto University and the Advanced Collaborative Research Organization for SmartSociety, his work focuses on sustainable battery systems including aqueous proton batteries, MXene-based electrodes, and oxygen-redox chemistry. His research bridges fundamental materials science with practical energy storage applications through combined experimental-theoretical approaches. Education : Ph.D. in Basic Science (2005) and M.Sc./B.Sc. in Basic Science from The University of Tokyo Research Strengths : Solid-state ionics and intercalation chemistry MXene electrode engineering Oxygen-redox reaction mechanisms High-rate energy storage systems Hydrate-melt electrolyte optimization Scientific Contributions include: Discovering near-zero-volume-phase battery materials Developing distortion-relieving voids in host structures Elucidating multiorbital bond formation in oxygen-redox reactions Advancing aqueous redox-flow battery catholyte design Prominent Awards : Waseda Research Award (2021) ACS Reviewer Excellence Award (2018) Ministry of Education Young Scientist Award (2017) Multiple Young Investigator Awards (2016)
Dr. Huadong Mo is a Senior Lecturer at the School of Systems and Computing, University of New South Wales (UNSW) Canberra, Australia. He holds a B.E. degree in automation from the University of Science and Technology of China (2012) and a Ph.D. in systems engineering and engineering management from the City University of Hong Kong (2016). Prior to his current position, he was a research associate at ETH Zurich's Reliability and Risk Engineering Lab (2016-2019) and a Lecturer at UNSW Canberra (2019-2021). Dr. Mo's educational background includes a strong foundation in systems engineering with international experience across China, Switzerland, and Australia. His career trajectory demonstrates a progression from academic research to faculty positions with increasing responsibilities in teaching and research leadership. His research focuses on enhancing the resilience, performance, and security of complex systems using learning-based algorithms, primarily in power and energy systems, cyber-physical systems, and manufacturing systems. He applies data analytics to understand system evolution under uncertainties, with particular emphasis on prognostics and health management, sustainable transportation, robust operation of power systems under extreme events, and reinforcement learning-based asset management. His work bridges theoretical advances with practical applications in critical infrastructure. Analysis of Dr. Mo's recent publications reveals a strong focus on energy systems, particularly in the integration of machine learning with power grid management, battery storage systems, and resilience against cyber threats. His research shows a clear trajectory toward increasingly complex system integration, with growing emphasis on multi-vector energy communities, cross-domain prediction, and uncertainty-aware energy management. The interdisciplinary nature of his work spans electrical engineering, computer science, and operations research. 2024 IEEE SMC Early Career Award 2023 Visiting Research Fellowship (Jean d'Alembert Pour Fellowship) Gold Medal in 2024 China International College Student Innovation Competition (as supervisor) Arc PGC Supervisor Award (2021) IEEE SMC Outstanding Chapter Award (2021) Alumni Achievement Award from City University of Hong Kong (2019) Dr. Mo actively supervises numerous HDR students working on cutting-edge research topics including battery health monitoring, quantum control, reinforcement learning for power systems, and explainable AI for energy management. He leads multiple significant research grants totaling over 3 million AUD, including projects funded by ARC, Energy Innovation Fund, and international collaborations with institutions like ETH Zurich, Cambridge, and Tsinghua University. His research group maintains strong international connections, facilitating student exchanges and collaborative research. As Postgraduate Course Coordinator of Systems Engineering and Chair of IEEE SMC ACT Chapter, Dr. Mo plays a significant role in academic leadership and professional community building. His research team collaborates with industry partners on practical implementations of their theoretical work, particularly in the energy sector.
Professor Ian Metcalfe is a distinguished academic at Newcastle University, specializing in advanced materials for energy applications, particularly in the areas of membrane technology, chemical looping processes, and catalysis. His research spans multiple interdisciplinary fields with significant implications for carbon capture, hydrogen production, and sustainable energy systems. Professor Metcalfe's research primarily focuses on membrane technology for gas separation, particularly CO 2 capture and hydrogen production . His work extensively investigates chemical looping processes using various oxygen carrier materials, particularly perovskite-based materials . A significant portion of his recent research explores nanoparticle exsolution for creating highly stable and active catalysts. His research group has made notable contributions to understanding the thermodynamics of non-stoichiometric materials and developing novel membrane configurations for enhanced gas separation. Analysis of Professor Metcalfe's recent publications (2023-2025) reveals a strong focus on CO 2 separation technologies , particularly using molten-carbonate membranes with innovative support structures. His work on exsolution has expanded to include room-temperature processes using plasma techniques and applications in methane reforming. The research shows increasing emphasis on direct air capture technologies and ammonia synthesis via chemical looping, indicating strategic expansion into emerging energy storage and carbon utilization areas. Professor Metcalfe maintains extensive collaborations with researchers including Dr. Wenting Hu, Dr. Evangelos Papaioannou, Dr. Dragos Neagu, and Dr. Greg Mutch. His research has significant implications for decarbonization technologies and sustainable energy systems, particularly in hard-to-abate sectors where efficient CO 2 separation and clean hydrogen production are critical.
Stephen Brown is a Professor at the University of Toronto within the Department of Electrical and Computer Engineering under the Faculty of Applied Science and Engineering. He earned his B.A.Sc and M.A.Sc in Electrical Engineering from the University of Toronto and New Brunswick, respectively, and a Ph.D. in Electrical Engineering from the University of Toronto (1992). His career spans over two decades in academia and industry collaboration. Education : B.A.Sc, University of New Brunswick M.A.Sc, University of Toronto Ph.D, University of Toronto Professor Brown’s research focuses on field-programmable gate arrays (FPGAs) , CAD algorithms , and computer architecture , with applications in machine learning and high-level synthesis . He is a principal investigator in the LegUp project , an open-source high-level synthesis framework that bridges software and hardware design. His work also extends to optimizing FPGA interconnect delays, physical synthesis, and logic block architectures. Key trends in his publications include advancements in high-level synthesis tools, FPGA architecture evaluation, and timing-driven design methodologies. His contributions often intersect with design automation , resource sharing , and embedded systems . Scientific Awards : NSERC 1992 Doctoral Prize Hart Professorship for Innovation in Teaching (2017) Multiple teaching excellence awards Best Paper Award at ICCAD 1990 Best Paper Award nomination at Canadian Conference on VLSI (1989) As Director of the FPGA University Program at Intel Corporation, he leads industry-academia initiatives. His teaching portfolio includes courses like ECE253 (Digital Logic) and ECE1733F (Switching Theory).
Dr. Matthias Cuntz is a Senior Researcher at the Department of Computational Hydrosystems within the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. He leads the Regional Ecophysiology group and focuses on integrating stable isotopes, remote sensing, and computational modeling to study terrestrial ecosystems. Research Interests: Energy, water, and trace gas exchange in ecosystems; stable isotope applications; global water-carbon cycle modeling; eddy-covariance flux analysis; sap flow dynamics. Key Projects: Involved in TERENO (Terrestrial Environmental Observatories) and ICOS (Integrated Carbon Observation System) for long-term ecological monitoring. Recent Publications address soil freeze-thaw processes, Amazon forest carbon dynamics, hydrological model calibration, and isotopic partitioning of evapotranspiration. His work spans computational hydrology, remote sensing validation, and uncertainty quantification in environmental models. Contact: Email: matthias.cuntz@ufz.de Personal Webpage: www.macu.de
