Associate Professor Johann Auer is affiliated with TU Wien's Energy Economics and Energy Efficiency Research Department. His work focuses on energy transition pathways, renewable integration, and optimization of energy systems. He leads projects like the 'Open ENergy TRansition ANalyses for a low-carbon Economy' and contributes to the Network Lab. Research interests include sector coupling, hydrogen storage, and electric mobility infrastructure. Recent publications analyze gas grid transitions, decentralized energy communities, and photovoltaic system impacts. Education: No explicit academic qualifications listed. Research Trends: 2023-2024 publications emphasize optimization models for energy networks, hydrogen's role in decarbonization, and smart charging infrastructure. His work often applies stochastic methods and case studies in Austria. Key awards: None explicitly listed Advising: Supervised 11+ theses including 'Towards carbon neutrality...' and 'Local energy communities beyond sector coupling' Labs/Teams: Network Lab, energy transition research group Grants: Projects funded through TU Wien's energy research initiatives.
Liss C. Werner is a computational design researcher at Dessau International Graduate School of Architecture , focusing on the intersection of cybernetics, architecture, and digital systems. Her work explores bio-computational reactors, digital twins for buildings, and slime mold-based architectural models. She contributes to urban planning through GIS-based tools and investigates historical cybernetic principles in design. Key Research Areas: Cybernetics, computational architecture, bio-digital integration, digital twins, and urban systems. Collaborations: Projects with scholars in Germany, Austria, and Sweden, including studies on microbial fuel cells and particle physics applications. Theoretical Contributions: Extended Gordon Pask's Conversation Theory into architectural design, proposed 'sixth ecology' frameworks, and critiqued bio-digital fantasies in design. Tools & Methods: Uses Python OpenCV, Grasshopper/Rhinoceros, Arduino-Uno, and parametric CAD environments for bio-reactor monitoring and urban optimization. Publications: 15 recent works cover topics from digital infrastructure in the Anthropocene to cybernetic feedback mechanisms in architecture, with a focus on adaptive geometries and human-machine co-evolution.
Margaret (Maggie) Mann serves as Group Manager III for Supply Chain Analytics at the National Renewable Energy Laboratory (NREL), where she leads research evaluating raw material, manufacturing, and recycling needs to strengthen domestic supply chains for critical energy sectors. With expertise in chemical engineering, process modeling, and economic feasibility analysis, she directs projects on global interconnected supply chains and battery storage systems for electric vehicle charging infrastructure. Her research spans global supply chain analysis, environmental life cycle assessment of renewable technologies, transportation infrastructure, and behind-the-meter battery storage. Mann's scholarly fingerprint reveals significant contributions to Hydrogen Production Engineering (100%), Renewables Engineering (87%), Clean Energy Engineering (73%), and Lithium-Ion Batteries Engineering (69%). Recent publications demonstrate growing focus on electric vehicle infrastructure and battery technology, with numerous high-impact papers on charging economics, grid integration, and sustainable supply chain development. Her work bridges technical analysis with practical implementation for clean energy deployment. Scientific Recognition Accreditation Advisor, Chemical Engineering Department, University of Colorado, Boulder (2017) Award for H2A Model (2015) NREL Distinguished Member of Research Staff (2021) NREL Staff Award (2010) Mann's research has received substantial attention with some publications garnering over 100 citations. She collaborates extensively across NREL and with international partners, contributing to DOE's mission through rigorous supply chain analysis and clean energy technology assessment. Her current work integrates environmental and social justice considerations into early-stage battery research, reflecting a holistic approach to sustainable technology development. As leader of the Supply Chain Analytics group, she directs a multidisciplinary team advancing NREL's capabilities in supply chain modeling and analysis for emerging energy technologies.
Olga Doronina serves as Researcher III in Data Science within the Computational Science group at the National Renewable Energy Laboratory (NREL), applying expertise in turbulence modeling, computational fluid dynamics, machine learning, and statistical methods to advance renewable energy research. Her academic foundation includes: PhD in Mechanical Engineering from the University of Colorado Master of Science in Mechanical Engineering from the University of Colorado Master of Science in Applied Mathematics and Physics from Moscow Institute of Physics and Technology Bachelor of Science in Applied Mathematics and Physics from Moscow Institute of Physics and Technology Her research centers on developing computational tools for energy applications, with current projects focused on surrogate modeling of non-ideal reacting flows in oxy-combustors and wind turbine blade representation. She integrates Bayesian analysis and machine learning with fluid dynamics to solve complex engineering challenges in aerodynamics and combustion systems. Analysis of her 2024-2025 publications reveals strong emphasis on multi-fidelity modeling techniques, uncertainty quantification in scale-up problems, and neural-network-enhanced control frameworks for building energy systems. Her work consistently bridges computational mathematics with practical renewable energy applications, particularly in aerodynamic shape optimization and combustion modeling. Dr. Doronina actively collaborates within NREL's Computational Science division on interdisciplinary projects involving wind energy systems, combustion technologies, and building efficiency solutions, contributing to the laboratory's mission through advanced computational methodologies.
John Vines is Chair of Design Informatics in the School of Informatics at the University of Edinburgh, where he also co-directs the Institute for Design Informatics. He holds leadership roles as co-director of the Centre for Investing Innovation and the UKFin+ Network Plus, and serves as Programme Director for the MSc and Advanced MSc in Design Informatics. His educational background includes a PhD from the University of Plymouth (2011) in Ageing, technology and the embodied and enactive mind, an MA from the University of Wales (2007) in Design (New Media and Technology), and a BA (Hons) from the University of Wales (2005) in Three-dimensional Design. Prior to his current position, he was Professor of Design at Northumbria University and a lecturer at Newcastle University's Open Lab, where he remains a visiting faculty member. Professor Vines' research focuses on human-computer interaction and interaction design, particularly how people experience and use digital and data-driven technologies in everyday life. His work employs participatory and research through design approaches, with specific expertise in care for later life, health ageing, financial services (especially regarding financial inclusion and alternative currencies), and civic technology. He has developed a growing interest in participatory methods for designing human-AI collaborations and embedding participatory approaches within AI governance processes. His recent publications reveal trends in participatory design methodologies, human-AI interaction, financial technology for social good, and applications for aging populations. These works span disciplines including human-computer interaction, social sciences, design research, and digital health, with increasing focus on the ethical and governance dimensions of emerging technologies. 2 Best Papers at ACM CHI conference 7 Honourable Mentions at ACM CHI conference Professor Vines has secured over £11 million in research funding from councils including EPSRC, ESRC, AHRC, Innovate UK, and Dstl. His current projects include Designing Responsible NLP (a UKRI AI Centre for Doctoral Training), the Regulation and Design (RAD) Lab, and the Peoplehood project focused on value exchange in later life communities. He leads the Centre for Digital Citizens, a 'next stage digital economy' research center, and the UKFin+ Network Plus which bridges academic research and financial services industry needs. His research group operates across multiple labs including the Regulation and Design (RAD) Lab, which explores human-technology interactions at the interface of technology, design, and regulation, and collaborates with the Centre for Investing Innovation, a strategic partnership between global asset management company abrdn and the University of Edinburgh.
Isaac Cho is an Assistant Professor in the Computer Science Department at the College of Engineering , Utah State University . His research focuses on immersive technologies and visual analytics, with specific expertise in virtual/augmented reality, human-computer interaction, and spatiotemporal data visualization. Research Interests: Dr. Cho's work bridges computational methods and human-centered design. Primary domains include: VR/AR interaction techniques (e.g., bimanual controls, olfactory interfaces) Immersive analytics for climate science and infrastructure Visual perception in tiled displays and virtual environments Geospatial and political data visualization Publication Trends: Recent articles (2023-2025) emphasize extended reality (XR) applications in industrial, environmental, and energy contexts. Key themes include sensory augmentation, collaborative digital twins, grid resilience visualization, and reproducible climate science tools. Awards & Students: No awards or supervised students are listed in available sources.
Professor Alan Kwan is a faculty member in Structural Mechanics at Cardiff University's School of Engineering and part of the BRE Institute of Sustainable Engineering. He has over 90 publications, including 35+ in refereed journals, and his research spans sustainability informatics, deployable structures, and structural optimization. BEng (Hons) from Sheffield (1987), PhD from Cambridge (1991) Deputy Head of School at the School of Engineering Research Interests: Dr. Kwan's work focuses on Sustainability Informatics (telemetry, control systems), Deployable Structures (pantographic systems, kinematics), and Structural Optimization (genetic algorithms). His recent grants total £1.04M, with additional £6.8M from collaborative projects, all in sustainability informatics. Scientific Contributions: He has supervised 21 PhD students (19 completed) and two MPhil students. His KTP project with Reid Lifting Ltd. led to commercialization of a deployable lifting product, earning two Queen’s Awards in 2013. He serves on editorial boards of three journals and eleven conferences, and has delivered invited lectures internationally.
Dr. Ana Perišić (born March 9, 1983, Novi Sad, Serbia) is an Associate Professor at Singidunum University's Faculty of Informatics and Computing. Her academic work bridges technology and design, focusing on critical areas of human-computer interaction and digital innovation. Doctoral Studies: Faculty of Technical Sciences, Novi Sad (2016) Master Studies: Faculty of Technical Sciences, Novi Sad (2009) Her research explores: Digital twins and system-of-systems modeling for urban and architectural analysis UX/UI design principles in video games and virtual environments Cognitive psychology's impact on digital media design Digitization of educational processes and multimedia systems Analyzing her publications (2016-2022), we see consistent focus on: Urban morphology analysis using computational models Parametric design approaches for building simulations Environmental factors (daylight, privacy) in architectural computing Integration of digital twins in innovation ecosystems Her work combines technical rigor with human-centered design principles across computer science and architectural domains.
Muhammet Enis BULAK is an Associate Professor at Uskudar University's Industrial Engineering Program and Master of Engineering Management Program. His academic journey includes a Ph.D. from Istanbul University (2018), MSc and BSc from Fatih University, and a visiting professorship at Qatar University (2019). As a peer reviewer for Industrial Engineering journals, he specializes in digital transformation, sustainability, and multi-criteria decision-making (MCDM). Education: Ph.D. in Industrial Engineering (Istanbul University, 2018), MSc/BSc in Industrial Engineering (Fatih University, 2012/2010) Current Roles: Associate Professor, Distance Learning Commission member, and ISO 9001 Lead Auditor Research: Focuses on green supply chains, circular economy, and AI-driven optimization Recent Publications in Journal of Cleaner Production , Sustainable Cities and Society , and International Journal of Innovation and Technology Management highlight applications of AHP, TOPSIS, and DEA in e-commerce usability, smart city sustainability, and food consumption analysis. His work bridges industrial engineering with sustainability challenges. Scientific Leadership: He serves on academic boards, curriculum development commissions, and as a student club advisor. His Google Scholar profile (h-index: 10) demonstrates impact across 653 citations.
Prof. Dr. Olga Levina serves as Professor of Business Informatics at Brandenburg University of Technology (BTU), Department of Economics, where she bridges technical systems design with ethical governance in digital transformation. Her institutional leadership includes contributions to DIN working groups on Responsible AI and UNESCO's "Artificial Intelligence for more gender equality and against discrimination" guideline. Her educational background includes: Industrial Engineering with technical specialization in Information and Communication Systems (Technical University of Berlin and LUISS Rome) Doctorate in Network Analysis (TU Berlin) Levina's research critically examines ethical digitalization , business process management , and low-code development through participatory frameworks. She investigates how socially-aware information systems can mitigate digital inequality while advancing sustainability. Current projects analyze dark patterns in consent interfaces and AI's impact on journalistic values, emphasizing transparency and stakeholder inclusion as foundational principles. Her 15 most recent publications (2021-2025) reveal three dominant trajectories: (1) operationalizing ethics in software design through assessment tools and pipelines, (2) analyzing low-code platforms' organizational impact, and (3) exposing biases in algorithmic systems via empirical studies of dark patterns and recommender systems. This work consistently connects technical implementation with societal consequences. Levina actively supervises Master's theses through structured processes requiring English proficiency and research proposals. Her Ethical and Legal Aspects of Digitalization course generates publishable student research on topics like cookie consent dark patterns and AI sentiment analysis. She leads the InnoWest project on sustainable IT development while maintaining roles as journal/conference reviewer and DIN working group contributor. Her research group produces empirical studies through student projects examining digital ethics in real-world contexts, including cross-national analyses of cookie banners and values in messenger apps. Current work explores "naming as framing" in sustainability discourse and machine learning system auditing.
Prof. Dr. Björn Maronga is a Professor of Boundary Layer Meteorology at the Institute of Meteorology and Climatology within the Faculty of Mathematics and Physics at Leibniz Universität Hannover. His office is located at Herrenhäuser Straße 2, 30419 Hannover (Building 4105, Room F126). He holds multiple administrative roles including chair of the Meteorology Examination Board, BAföG representative, and practical training coordinator for Meteorology, as well as representing professors on the selection commission and faculty council. Prof. Maronga's research focuses on boundary layer meteorology and urban climate modeling, with particular expertise in Large-Eddy Simulations (LES) using the PALM model system. His work spans from fundamental atmospheric physics to practical urban climate applications. He investigates urban heat islands, radiation fog dynamics, land-atmosphere interactions, and the development of high-resolution urban climate models. His research group is deeply involved in the [UC]² national research program focused on developing building-resolving atmospheric models for entire city regions. Analysis of his recent publications reveals a strong trend toward increasingly sophisticated urban climate modeling techniques. His work with the PALM model system has evolved from basic boundary layer studies to comprehensive urban climate simulations incorporating chemistry, detailed radiative transfer, and land-surface interactions. Recent research emphasizes practical applications for urban planning, climate adaptation, and thermal comfort assessment. His collaborative network spans numerous international institutions, with particular focus on European research partnerships. Prof. Maronga is actively involved in several significant research projects including the MOSAIK initiative for model-based city planning under climate change and the ISOBAR project studying Arctic boundary layer processes. His work has contributed substantially to the development and validation of the PALM model system, which has become a leading tool for high-resolution urban climate simulations worldwide. He has supervised numerous PhD students and postdoctoral researchers who have contributed to the extensive publication record associated with the PALM modeling framework.
Neil Rogers is a Senior Research Associate in the Department of Physics at Lancaster University , specializing in space weather impacts on terrestrial systems. His work applies extreme value theory to quantify risks from ionospheric currents affecting power grids and railway signaling, while collaborating with the Met Office to develop HF radio communication outage forecasts for aviation stakeholders during solar activity. Current consultancy with Airbus Defence & Space Ltd modeling ionospheric effects on ESA's Biomass radar satellite Key research themes: Space Weather, Ionospheric Physics, and Infrastructure Risk Assessment His recent publications focus on geomagnetic fluctuations and solar wind data validation. Contact: B505b, Physics Building, Lancaster University.
Arega Getaneh Abate serves as a Postdoctoral Fellow at DTU Management, Technical University of Denmark, with primary affiliations in the Department of Technology, Management and Economics. His institutional placement includes: Section for Energy Economics and Modelling Division for Climate and Energy Policy Based at Production Square, Building 424, Room 117 in Kgs. Lyngby, Denmark, he operates at the nexus of energy systems analysis and economic policy development. Abate's research program centers on quantitative approaches to energy transition challenges, specifically: Stochastic optimization for electricity market operations under uncertainty Renewable energy integration mechanisms and grid management Demand response program design and dynamic pricing AI-driven platforms for electric mobility and energy systems Contract theory applications in carbon-constrained markets Economic modeling of climate policy impacts His publication trajectory (2016-2025) reveals a methodological evolution from panel data analysis in development economics toward advanced computational techniques in energy markets. Recent work demonstrates increasing sophistication in handling uncertainty through stochastic programming and machine learning, with consistent focus on market design for high-renewable scenarios. The 2025 AI-platform study represents the current frontier of his research integrating mobility, generation, and grid systems. Within DTU's Division for Climate and Energy Policy, Abate contributes to a research ecosystem focused on evidence-based solutions for decarbonization, participating in cross-disciplinary projects addressing the economic dimensions of sustainable energy transitions.
Professor Andreas Wagner leads the Building Physics and Technical Design Department at the Karlsruhe Institute of Technology (KIT) Faculty of Architecture . His research focuses on sustainable, climate-friendly construction practices that balance energy efficiency with user comfort through interdisciplinary approaches combining building technology, renewable energy integration, and occupant behavior analysis. Develops integrated building energy systems with high renewable energy utilization Conducts occupant behavior studies at the LOBSTER indoor climate test facility Co-led the award-winning RoofKIT solar building project Research Emphasis: Investigates the critical interaction between building technology and occupant behavior through computer simulations and empirical studies. Focus areas include thermal/visual workplace comfort, real-time energy management systems, and statistical modeling of indoor climate parameters. Labs & Collaborations: Manages the LOBSTER laboratory for occupant behavior research and collaborates with KIT's Energy Lab 2.0 on grid-integrated solar building systems. RoofKIT serves as a living lab for CO2-neutral building operation. Scientific Achievements: Contributed to the Solar Decathlon Europe 2022 championship with innovative building energy management solutions. Develops advanced simulation models that incorporate physiological and behavioral data for optimizing building performance.
Kais Hamza is a Professor and Deputy Head of School at the School of Mathematics, Monash University , with a focus on stochastic processes and their applications. His research bridges theoretical probability (martingales, Markov jump processes) and practical domains like financial market modeling, population dynamics, and biomedical systems. Stochastic Processes : General theory, martingale representation, and random walk analysis Mathematical Finance : Financial derivatives, volatility models, and scenario generators Biomedical Applications : Vocal cord dysfunction diagnostics, COPD exacerbation biomarkers, and respiratory imaging Recent work includes books and articles on stochastic calculus, CT imaging for laryngeal disorders, and metabolic biomarkers in COPD. No specific student advisement details are provided. Key collaborations span institutions like the Australian Research Council and Data61 , with projects on topics like Self-Interacting Random Walks (2023–2026).
