Professor Mark Howells is a Principal Research Fellow at the Centre for Environmental Policy within Imperial College London's Faculty of Natural Sciences. His work focuses on energy systems modelling and policy analysis for sustainable development in low and middle-income countries, with a particular emphasis on open-source frameworks and context-specific transition pathways. His research spans energy transition modelling, environmental policy, and sustainable development, utilizing tools like OSeMOSYS and CLEWs to address energy trilemma challenges across Africa, Asia, and South America. Key interests include integrating qualitative factors into quantitative models, green hydrogen planning, power sector reliability, and resource nexus management, with significant contributions to country-specific energy planning in Ghana, Nigeria, Kenya, Egypt, and Indonesia. Analysis of his 2023-2025 publications reveals a strong focus on open-source energy modelling applications for decarbonization, with recurring themes of data kit development, grid flexibility solutions, and water-energy-land nexus assessments. His work consistently bridges technical modelling with policy implementation needs, particularly in contexts of infrastructure constraints and climate vulnerability. No scientific awards were mentioned in the source materials. Professor Howells operates within Imperial College London's Centre for Environmental Policy, an interdisciplinary hub conducting research on global environmental challenges through integrated systems approaches that connect technical, economic, and policy dimensions of sustainability transitions.
Christian Wolff is a University Professor and Chair of Media Informatics at the Institute for Information and Media, Language and Culture at the University of Regensburg. Since April 2022, he has served as the founding Dean of the Faculty of Computer Science and Data Science, while maintaining secondary membership in the Faculty of Languages, Literature and Cultural Studies (SLK). His academic career spans over three decades with significant contributions to multiple disciplines at the intersection of computer science and humanities. Wolff's research interests center around multimedia and multimodal information systems, electronic publishing, and text technology, particularly text mining. His work bridges computer science with digital humanities, legal informatics, and social media analysis. Recent publications demonstrate a strong focus on large language models, sentiment analysis applications across various domains, legal technology innovations, and virtual reality research for cognitive studies. His interdisciplinary approach has produced significant contributions in both technical and humanities domains. His recent publication trends reveal a strategic shift toward applied AI research, particularly in legal technology (LegalTech), social media analysis, and sentiment analysis using large language models. The publications show increasing collaboration across disciplines, connecting computer science with law, political science, literature, and psychology. His work on the digital basis document for legal proceedings represents a major practical application of his research in the German justice system. East Bavarian Cultural Prize Doctoral Award of the University of Regensburg Wolff has led numerous interdisciplinary research projects connecting computer science with humanities and legal studies. His leadership extends to institutional roles including Dean of Research, Vice Dean, and Dean of Faculty positions. He has been instrumental in establishing the new Faculty of Computer Science and Data Science at the University of Regensburg, demonstrating significant impact on institutional development and research infrastructure. Wolff directs research initiatives focused on text technology, digital humanities, and legal informatics. His work with the INDIGO - Internet and Digitization Eastern Bavaria initiative and the TRIO project demonstrates commitment to regional technology transfer and innovation. The interdisciplinary nature of his research groups connects computer scientists with legal scholars, linguists, and social scientists to address complex digital transformation challenges.
Dr. Anwar Ali is a Lecturer in the Department of Electronic and Electrical Engineering at Swansea University's Bay Campus, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. He holds an M.S. in Electronic Engineering (2010) and a Ph.D. in Electronic and Communication Engineering (2014) from Politecnico di Torino, Italy. His research focuses on: Power electronic converters and conditioning systems Embedded systems for aerospace applications Analog/mixed-signal circuit design Satellite technologies including power management Attitude determination and control systems Thermal modeling of aerospace systems Dr. Ali has authored over 50 publications with recent works concentrated in satellite power systems, thermal analysis of spacecraft, machine learning applications in healthcare/robotics, and energy harvesting techniques. His research demonstrates consistent innovation in small satellite technologies and cross-disciplinary applications of electrical engineering principles. He currently supervises PhD projects on: Wireless power transfer for implantable medical devices Integrated power and attitude control optimization for small spacecraft and teaches modules including Analogue Design, Software Engineering, Embedded System Design, and Integrated Circuit Design.
Dr. F. Jerry Reen serves as a Senior Lecturer and Principal Investigator in the School of Microbiology at University College Cork (UCC), Ireland. With over two decades of academic experience since joining UCC's Department of Microbiology in 2002, he has established himself as a leading researcher in microbial communication systems and host-pathogen interactions. His research group operates within the BIOMERIT Research Centre, and he maintains active collaborations across multiple institutions in Ireland and internationally. Dr. Reen earned his BSc in Biochemistry at the National University of Ireland Galway (NUIG), followed by a PhD in the Molecular GlycoBiotechnology Group at NUIG, supported by an Enterprise Ireland Scholarship and an NUI Teaching Fellowship. His academic journey includes a postdoctoral position in the lab of Dr. E. Fidelma Boyd at UCC, during which he was a visiting scientist at the Sidney Kimmel Cancer Center in San Diego and received an IRCSET Postdoctoral Fellowship for bacteriophage-host interactions research. Dr. Reen's research focuses on deciphering communication systems underpinning polymicrobial-host interactions for human and ecosystem health, with particular emphasis on small molecule signaling in microbial communities. His work bridges fundamental microbiology with translational applications, targeting antimicrobial resistance through chemico-biological therapeutics and developing sustainable pharmaceutical production methods using marine biocatalysts. His research has evolved from early work on Vibrio species to current investigations of Pseudomonas aeruginosa signaling systems, bile acid interactions in cystic fibrosis, and marine enzyme applications in green chemistry. His laboratory's publication record demonstrates consistent productivity with over 80 peer-reviewed papers (h-index 26), spanning from foundational studies on LysR-type transcriptional regulators to recent innovations in virtual reality educational tools. The research trajectory reveals an expanding scope from molecular microbiology to systems-level understanding of microbial communities, with increasing emphasis on sustainable solutions for the pharmaceutical industry. Bronze LEAF Award (2022) - Green Campus University College Cork The Disciplinary Excellence in Learning, Teaching and Assessment (DELTA) Award (2021) - National Forum for the Enhancement of Teaching and Learning Purdy-Lucey UCC Life Sciences Invention of the Year 2015 (2016) Best Poster Exhibition (2012) - Royal Irish Academy National Researcher of the Year, Silver Medal (2011) - Roche BioSciences Researcher of the Year, Gold Medal (2011) - Roche Dr. Reen has successfully secured significant research funding from multiple sources including Science Foundation Ireland (SFI), Health Research Board (HRB), Enterprise Ireland, and Irish Research Council. His current projects include 'BioBloc' enhanced Contact LEns solutioNS (BBCLENS), HEACOVID19, SSPC3 Pharm5, and investigations into novel macrolides for cystic fibrosis management. He has mentored numerous graduate students, including Stephanie Flynn (PhD, 2019), Noelle McCarthy (PhD, 2009), and David Woods (MSc, 2008), with two doctoral students currently completing their research. His educational innovations, particularly student-partnered virtual reality simulations, have transformed how challenging molecular concepts are taught. Dr. Reen leads an interdisciplinary research group that combines microbiology, chemistry, bioinformatics, and education technology. His team collaborates with internal UCC colleagues including Dr. Gerard McGlacken and Prof. Anita Maguire, as well as external partners from institutions like the University of Warwick, Medical University of Graz, and University de Porto. The laboratory maintains strong connections with clinical researchers studying cystic fibrosis and has developed novel approaches for detecting bacterial signaling molecules using boron-doped diamond electrodes.
Georges FOKOUA is a Lecturer-Researcher at ESTACA (École Supérieure des Techniques Aéronautiques et de Construction Automobile), Paris-Saclay Campus, Saint-Quentin-en-Yvelines, France. He serves as the Training Manager for the 5A Specialty in New Energies and Environment. His academic career spans multiple institutions, including IRSTEA Rennes as a Research Engineer (2014-2016) and the Naval School in Brest as a Teaching and Research Assistant (2009-2014). Dr. FOKOUA's research focuses on experimental and numerical fluid mechanics with particular interest in multiphase flows, turbulence, wake flows, and the characterization of spatio-temporal dynamics of particulate and gaseous pollutants. His work bridges fundamental fluid mechanics with practical applications in transportation systems, naval propulsion, and environmental engineering. He has developed expertise in advanced measurement techniques including PIV, LDV, Ombroscopy, hot wire, optical probes, PTV, and both mono- and biphasic CFD using Ansys-Fluent, Comsol Multiphysics, and Matlab. His publication record demonstrates strong expertise in particle dispersion in transportation systems, with recent work focusing on brake particle dispersion in underground train stations, vehicle wake flows, and ultrafine particle dispersion. His earlier work investigated bubble effects in Taylor-Couette flow for naval propulsion applications. His research consistently combines experimental work with numerical modeling to address complex fluid dynamics problems. Dr. FOKOUA actively supervises doctoral and master's students, with current PhD candidates working on topics related to air quality in vehicle cabins, particulate pollutant dispersion in vehicle wakes, and navigation emissions. He has also contributed significantly to major research projects including CEPARER (2022-2025), AmCoAir (2020-2023), and CAPNAV (2019-2022), all funded by ADEME with various industrial partners. As an educator, he teaches Fluid Mechanics, Thermodynamics, Thermal Engineering, and Energy Conversion and Transfer courses across all undergraduate and graduate levels at ESTACA. He has also led the Euroglider project (2016-2019), developing a two-seat electric propulsion glider for pilot training.
Stuart E. Middleton is a Professor in the Electronics and Computer Science (ECS) department at the University of Southampton, where he has been employed since 2003. His research bridges artificial intelligence with practical applications in social science, mental health, and security domains. He leads multiple research projects funded by DTP and CISDnS CDT, focusing on multimodal natural language processing and large language models for social good applications. Professor Middleton's research interests center on Natural Language Processing, Large Language Models, and Human-in-the-loop AI systems. His work spans mental health applications (particularly suicide risk detection and mood change analysis), social media analysis for crisis mapping, geoparsing for location extraction, and argument mining in political discourse. He has developed numerous open-source NLP projects and datasets including CPIQA for climate science, ConversationMoC for mental health monitoring, and M-Arg for multimodal argument mining. His research demonstrates how AI can effectively support human decision-making in critical domains like mental healthcare, defense applications, and crisis management. His recent publications reveal a strong trend toward applying LLMs to high-impact societal challenges, particularly in mental health monitoring and climate science verification. He has pioneered methods for detecting suicidal ideation in social media, identifying moments of mood change, and developing context-aware question answering for climate papers. His work consistently emphasizes the importance of human oversight in AI systems, with numerous publications on responsible AI, regulation, and human-in-the-loop approaches. Ranked 1st in ECAL-2024 shared task on suicidal ideation detection Ranked 1st in NAACL-2022 shared task on suicide risk and mood change classification Winner of 'best paper' award at WWW2002 Semantic Web Workshop Professor Middleton actively supervises PhD students through multiple funded projects including 'Multimodal Natural Language Processing for Computational Social Science', 'Large Language Models for Military Veteran Mental Health', and 'Large Language Models for Human/AI Information Foraging to Combat Digital Human Trafficking into Terrorism'. He has secured significant funding from UKRI, DSTL, and other sources to support his research in responsible AI applications. He organizes major workshops including the RAI UK Workshops on Responsible AI for Mental Health and AIUK workshops on AI for Data Rescue and Defense applications. His research group maintains numerous GitHub repositories with open-source NLP tools and datasets that have been widely adopted by the research community.
Matteo Robiglio is a Full Professor at the Department of Architecture and Design (DAD) , Polytechnic University of Turin, and serves as Project Manager for the Future Urban Legacy Lab (FULL) . His work focuses on the intersection of architectural design, urban regeneration, and sustainable development. Research Themes : Adaptive reuse of built heritage, cohousing models, cultural heritage conservation, and sustainable urban policies. Awards : Recognized internationally with the World Architecture Award (WACA, 2018) and Solar Decathlon China (2018), alongside multiple Italian accolades (Revealed Architecture Awards, CASACLIMA AWARD). Key Projects include ResQ - Re-school (2021-2022) addressing pandemic-era school spaces, and collaborative agreements with public institutions for urban regeneration in Turin and Lombardy. His recent articles emphasize incremental strategies for heritage reuse, daylighting metrics, and social innovation tools. Teaching Roles span Architecture PhD and Master’s programs, where he oversees design studios on adaptive reuse, green architecture, and transdisciplinary research. He has supervised doctoral research on topics like post-earthquake temporality and community-led housing.
Professor Ana Ivanovic is a Personal Chair (equivalent to Full Professor) in the School of Engineering at the University of Aberdeen, specializing in Geotechnical Engineering with a focus on offshore applications. She holds a MEng in Civil Engineering with major in Geotechnics and Foundations from Belgrade and a PhD in Geotechnical Engineering from the University of Aberdeen (2001). She is a Chartered Civil Engineer (CEng) and Member of the Institution of Civil Engineers (MICE) since 2008. MEng Honours degree, 1st class, in Civil Engineering with major in Geotechnics and Foundations, School of Civil Engineering, Belgrade, Yugoslavia (1997) Ph.D. in Geotechnical Engineering, School of Engineering, University of Aberdeen (2001) Professor Ivanovic's research spans two major streams: the dynamic behavior of ground anchorage systems and the impact of trawling gears on the seabed ecosystem. Her work combines numerical modeling with physical experimentation to address critical challenges in offshore renewable energy, subsea pipelines, and marine environmental protection. She has developed sophisticated models for rock-steel interfaces, pipeline buckling, and seabed disturbance from fishing activities, with applications in offshore wind, oil and gas, and sustainable fisheries. Her recent publications reveal a strong focus on offshore renewable energy foundations, particularly rock anchor systems for wind turbines, and the environmental impact of marine activities. Her research consistently bridges theoretical geotechnics with practical engineering applications, often incorporating large deformation numerical analysis and physical testing under realistic seabed conditions. NERC Industrial CASE studentship (2016-2018) examining biogeochemical effects of benthic trawling Innovate UK KTP project (2016-2018) developing 'DeepBuoy' pumpable buoyancy technology EU FP7 BENTHIS grant (2012-2016) studying benthic ecosystem fisheries impact Fisheries Innovation Scotland grant (2015) modeling physical impact of demersal fishing gears EPSRC grant (2008-2011) investigating anchorage head design for multi-strand anchorages Professor Ivanovic supervises numerous PhD and MSc students and serves as External Examiner for Strathclyde and Napier Universities. She regularly reviews manuscripts for leading journals including International Journal of Rock Mechanics and Mining Sciences, Journal of Geotechnical and Geoenvironmental Engineering, and Ocean Engineering. Her work with the Scottish Universities Geotechnical Network (SUGN) and the Society for Underwater Technology's Offshore Site Investigation and Geotechnics Committee demonstrates her commitment to advancing geotechnical knowledge in marine environments.
Dr Nour Ali is a Reader in the Department of Computer Science at Brunel University London , where she co-heads the Brunel Software Engineering Lab and serves as Vice-Dean of Education for the College of Engineering, Design and Physical Sciences. She holds a PhD in Software Engineering from Universidad Politecnica de Valencia, Spain, and a Major in Computer Science from Bir-Zeit University, Palestine. Research Interests: Software architecture for distributed and adaptive systems, integrating techniques like Model-Driven Engineering, Reverse Engineering, and Machine Learning. Teaching: Module leader for Software Project Management and supervisor of undergraduate group projects and final-year projects. Scientific Contributions: Over 70 publications in journals, conferences, and books. Key research areas include microservice architecture recovery, autonomic healthcare systems, and mobile self-adaptive architecture. Scientific Awards: Fellow of the Higher Education Academy (HEA). Membership: Deputy Editor-in-Chief for IET Software, member of multiple conference program committees, and reviewer for EPSRC, NWO, and other funding bodies.
Chaopeng Shen is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. His research bridges hydrology with state-of-the-art deep learning and differentiable modeling techniques, focusing on advancing our understanding of hydrologic cycles and their interactions with ecosystems, energy, and carbon cycles. He leads the Multi-scale Hydrology, Processes and Intelligence group (MHPI) and has developed the Process-based Adaptive Watershed Simulator (PAWS) for large-scale hydrologic modeling. Shen's work emphasizes physics-informed machine learning , where deep learning components are integrated with process-based equations through differentiable modeling. This approach enables training neural networks using big data while respecting physical laws, leading to improved generalizability and robustness. His group has demonstrated advantages of differentiable models in rainfall-runoff prediction, routing, ecosystem modeling, and water quality studies. Notably, his team's deepLDB project addresses landslide prediction using AI and big datasets. Recent publications highlight his contributions to global water modeling (grid-LSTM, differentiable Muskingum-Cunge routing), extreme flood forecasting (probabilistic diffusion models), and hydrologic uncertainty quantification . Shen actively engages in interdisciplinary collaborations through the PRISM Cooperative Institute, which aims to integrate multi-domain data for systemic risk assessment. His group has advised students including Dapeng Feng, Wen-Ping Tsai, Kuai Fang, Xinye Ji, and Tasnuva Mahjabin. Shen's research is supported by the National Science Foundation (NSF), Department of Energy (DoE), USGS, Google.org, and the Gates Foundation. He serves as Editor for the Journal of Geophysical Research - Machine Learning & Computation and Chief Editor for Frontiers in Water: Water & AI. His open-source software tools like PAWS and deepLDB are available through dedicated project websites.
Cihan Tepedelenlioglu is an Associate Professor at Arizona State University's School of Electrical, Computer and Energy Engineering. His work bridges wireless communications, statistical signal processing, and renewable energy systems, with a focus on photovoltaic array monitoring, fault detection, and optimization. PhD, MS, and BS in Electrical Engineering from University of Minnesota, University of Virginia, and Florida Institute of Technology 2001 NSF CAREER Award recipient Research interests span wireless communications , graph signal processing , stochastic optimization , and machine learning applications to solar energy systems . Key projects include quantum machine learning for PV topology optimization, consensus algorithms for distributed networks, and real-time fault detection using neural networks. Recent articles emphasize machine learning in energy systems (2023-2025), with 12 publications on photovoltaic monitoring and 3 on consensus algorithms. Earlier work focused on channel estimation in OFDM systems and fading models in wireless communications. Scientific awards : NSF CAREER Award (2001) Major grants include NSF funding for networked solar array management (2013-2016), nonlinear distributed consensus (2013-2016), and statistical processing of solar data (2009-2012). Teaching roles include EEE 350 Random Signal Analysis and graduate research supervision in signal processing and wireless communications. Collaborates extensively with Andreas Spanias, Mahesh Banavar, and other researchers on cyber-physical systems for energy applications.
Dengfeng Sun is a Professor and Associate Head of the Gambaro Graduate Program in the School of Aeronautics and Astronautics at Purdue University. His research focuses on distributed control systems, autonomy, resilient networks, and air traffic management. Sun holds a B.Eng. from Tsinghua University, an M.S. from The Ohio State University, and a Ph.D. from UC Berkeley. His work spans advanced air mobility, UAV trajectory planning, and stochastic optimization for large-scale systems. Key contributions include resilient UAV traffic control, distributed state estimation algorithms, and fault detection methods for navigation systems. Sun's research has been published in top journals like IEEE Transactions on Intelligent Transportation Systems and Transportation Research Part E. Education: B.Eng., Tsinghua University (2000) M.S., Ohio State University (2002) Ph.D., UC Berkeley (2008) He advises on cutting-edge projects integrating robotics, autonomous systems, and cloud-based traffic modeling. His lab develops solutions for urban air mobility, emergency medical UAV networks, and next-generation air traffic control systems. Notable collaborations include work with NASA and industry partners on continuous descent approach procedures and metroplex routing paradigms. Sun's work bridges theoretical control systems with practical applications in aviation and infrastructure optimization.
Niall Kirkwood is the Charles Eliot Professor of Landscape Architecture at Harvard University's Graduate School of Design (GSD), where he has been a faculty member since 1991. He holds concurrent roles as Deputy Editor-in-Chief of Landscape Architecture Journal and is affiliated with institutions worldwide, including Tsinghua University and Chulalongkorn University. His research focuses on post-industrial landscape regeneration, brownfield remediation, and climate-resilient urban design. Education: BArch from University of Manchester (UK), MLA from University of Pennsylvania (USA), and honorary doctorates from Harvard and University of Ulster (2009). Research interests emphasize innovative technologies for polluted land remediation, environmental justice, and the intersection of design with ecological systems. Notable projects include the Tar Creek Superfund Site regeneration, DMZ reclamation in Korea, and brownfield revitalization in Mumbai. Publications include influential works like Principles of Brownfield Regeneration (2010) and PHYTO: Site Remediation and Landscape Design (2015). Awards include AAAS membership (2024) and FASLA fellowship (2009). Teaching spans design studios addressing global challenges like Bangkok's climate resilience and Ireland's urban transformation. He led GSD's Academic Affairs as Associate Dean (2019-2024) and founded the Center for Brownfield Research at Tsinghua University. Labs/Initiatives: Co-founded the Center for Brownfield Research (Tsinghua), directed the Center for Environment and Technology (GSD 1997-2017), and collaborates with the Harvard Global Health Institute.
Joshua Goldberger is the Kimberly Professor of Chemistry at The Ohio State University, where he has been since 2010. Promoted to Professor in 2020, he leads research in designing inorganic and hybrid materials for electronics, energy, and catalysis. His lab focuses on 2D materials, axis-dependent conduction polarity, and novel catalysts like BaGa2. Key achievements include the discovery of Re4Si7, a groundbreaking thermoelectric material, and the development of gonipolar materials. Goldberger holds prestigious awards, including the Camille Dreyfus Teacher-Scholar and AAAS Fellowships. Education: B.S. Chemistry (OSU, 2001), Ph.D. (UC Berkeley, 2006), postdoc at Northwestern University. Current roles include Director of the NSF-funded Center for Emergent Materials (CEM). Research Highlights: Goldberger’s group pioneers functional materials for next-gen technologies. Major projects include: (1) 2D materials beyond graphene, (2) axis-dependent electronic properties enabling new devices, (3) transition-metal-free catalysts for alkyne hydrogenation. Their work spans synthesis, characterization, and device applications. Awards: Camille Dreyfus (2015), Lumley Award (2019), AAAS Fellow (2022). Over 90 publications in top journals like Nature Materials and JACS . Labs/Teams: Goldberger Group at OSU, collaborating with the Center for Emergent Materials and PARADIM crystal growth facility.
Professor Alexander Slocum holds the Walter M. May (1939) and A. Hazel May Chair in Emerging Technologies at MIT's Department of Mechanical Engineering within the School of Engineering. A distinguished educator and researcher, Slocum has made significant contributions across precision machine design, medical device innovation, and renewable energy systems. His research interests span precision machine design for medical devices and energy industry applications, with particular focus on offshore renewable energy storage systems and kinematic couplings. Slocum's work bridges theoretical mechanical engineering principles with practical applications that address real-world challenges in healthcare and sustainable energy. His recent publications demonstrate a strong emphasis on bio-inspired engineering, underwater energy storage systems, and medical device innovation. The articles reveal a consistent pattern of applying fundamental mechanical engineering principles to solve problems in healthcare delivery and renewable energy storage, often with a focus on practical implementation in resource-constrained environments. NSF Presidential Young Investigator (1987) MacVicar Faculty Fellow (1999) Massachusetts Professor of the Year Award (2000) Multiple R&D 100 Awards (1994-2010) ASME Leonardo da Vinci Award (2004) ASME Machine Design Award (2008) ASME Ruth and Joel Spira Outstanding Design Educator Award (2018) National Academy of Inventors Fellow (2021) Slocum actively mentors students through MIT's Experimental Study Group (which he directs) and his renowned 2.75/2.750 Precision Machine Design courses. His educational approach emphasizes hands-on learning and real-world problem solving, particularly through medical device design projects developed in collaboration with Boston-area clinicians. His research has been supported by significant grants from the NSF, Department of Energy, and military research agencies. His PERG (Precision Engineering Research Group) lab fosters interdisciplinary collaboration, bringing together mechanical engineers, materials scientists, and medical professionals to develop innovative solutions for healthcare and energy challenges. The lab is particularly known for its work on kinematic couplings, hydrostatic bearings, and bio-inspired engineering solutions.
