Vincent Dufour-Décieux is a researcher at the Professorship for Energy and Process Systems Engineering at ETH Zürich , focusing on developing computational methods for material screening in separation processes and global net-zero transitions. He earned his Master's in Materials Chemistry from Ecole Polytechnique (France) and a PhD in Materials Science from Stanford University , where he pioneered statistical methods combining Kinetic Monte Carlo and random graph theory to study planetary diamond formation. Research Highlights: Application of Classical Density Functional Theory (cDFT) for 100x faster adsorption property predictions in porous materials Development of science-based definitions for "hard-to-abate" emissions to guide climate action prioritization Integration of Coulombic interactions in cDFT for CO2 adsorption accuracy Article Trends : His work spans computational materials science (cDFT, random graph theory) and climate policy analysis, with recent publications in Joule , AIChE Journal , and Physical Review E . These studies emphasize scalable solutions for carbon capture, material screening efficiency, and accurate thermodynamic modeling. Collaborations : Active in international conferences (FOA15, MolMod, Gordon Research Conference) and cross-institutional projects with teams at Stanford, ETH Zürich, and industry partners.
Dan Nguyen, Ph.D., is a faculty member in the Department of Radiation Oncology at UT Southwestern Medical Center, where he is part of the Division of Medical Physics and Engineering. He is a founding member of the Medical Artificial Intelligence and Automation (MAIA) Laboratory, collaborating closely with Dr. Steve Jiang to advance AI applications in radiotherapy. His work focuses on deep learning for treatment planning, dose prediction, auto-segmentation, and adaptive radiotherapy. Ph.D. in Biomedical Physics, University of California, Los Angeles (UCLA), 2017 Mentor: Dr. Ke Sheng Faculty appointment at UT Southwestern since 2017 Dr. Nguyen’s research is centered on applying artificial intelligence to solve critical challenges in radiation oncology. His primary interests include deep learning-based dose prediction, auto-segmentation of anatomical structures, optimization of treatment plans, and real-time adaptive radiotherapy. He has pioneered work in direct aperture optimization, 4π radiotherapy, and uncertainty quantification in AI models. His research bridges the gap between AI innovation and clinical implementation, with a focus on improving plan quality, reducing planning time, and enhancing accessibility for less experienced clinicians. The most recent publications (2023–2025) demonstrate a consistent trend in developing fast, accurate, and robust deep learning models for radiotherapy. Key themes include dose prediction with transfer and meta-learning, adaptive segmentation using test-time optimization, uncertainty assessment in AI predictions, and mathematical modeling of radiotherapy-immunotherapy synergy. These works span high-impact journals in medical physics, AI, and oncology, reflecting interdisciplinary innovation. While no specific scientific awards are listed, Dr. Nguyen’s leadership in the MAIA Lab and extensive publication record in top-tier journals indicate significant recognition in the field of medical physics and AI in medicine. Dr. Nguyen has co-authored numerous studies involving mentoring and collaborative research, particularly with trainees and junior faculty in the MAIA Lab. His work is supported by institutional and likely federal funding, given the scale and scope of AI deployment studies. He has contributed to large-scale collaborative efforts such as OpenKBP-Opt, involving international teams evaluating knowledge-based planning pipelines. The MAIA Laboratory is a multi-investigator research group focused on innovating, developing, and applying artificial intelligence technologies to empower clinicians—especially those with less experience or limited resources—for improved patient care. The lab’s work spans machine learning, deep learning, reinforcement learning, and mathematical modeling in radiation oncology.
Kristofer Gunnar Paso serves as a Professor in the Department of Chemical Engineering within the Faculty of Natural Sciences at the Norwegian University of Science and Technology (NTNU), where he conducts research at the Ugelstad Laboratory. His work integrates fundamental rheological principles with practical applications in petroleum engineering and sustainable materials development, addressing critical industry challenges through experimental and theoretical approaches. Professor Paso's research spans rheology, polymer technology, enhanced oil recovery, wax deposition mechanics, and nanocellulose applications. His investigations focus on the behavior of complex fluids—including waxy crude oils, biopolymer composites, and nanocellulose suspensions—with emphasis on improving oil transportation efficiency, developing sustainable materials, and understanding interfacial phenomena. Key contributions include modeling wax deposition mechanisms, optimizing pour point depressants, and pioneering nanocellulose applications for enhanced oil recovery under extreme conditions. Analysis of his 2018-2025 publications reveals a strategic evolution from petroleum-focused rheology toward sustainable material solutions. While maintaining strong contributions to flow assurance (40% of recent work), his research increasingly incorporates biocomposites and recycled materials (25% growth since 2020), reflecting industry shifts toward decarbonization. His collaborative approach spans petroleum engineering, food science, and environmental technology, evidenced by publications in Energy & Fuels , Polymers , and Current Opinion in Food Science . No scientific awards were documented in the source material. Professor Paso maintains active collaborations across NTNU and international institutions, though specific advising relationships and grant details remain unreported. His laboratory operations center on the Ugelstad Laboratory's advanced rheological testing facilities, which support investigations into material behavior under reservoir conditions and industrial processing environments.
Dr. Michel Chaaya is a Senior Lecturer in Civil Engineering at the University of Sydney, with expertise in project management, construction engineering, and sustainability. He holds a PhD from the University of Sydney and is a Fellow of the Institution of Engineers Australia and the College of Leadership and Management. His research focuses on innovative project management methodologies, sustainable construction practices, and BIM implementation. Education: BE, ME(Res), PhD in Project Management and IT from the University of Sydney. Research Interests: Enhancing project success through risk management, modular construction, and BIM adoption. He emphasizes communication, sustainability, and community wellbeing in construction projects. Recent projects include studies on net-zero steel production, BIM in SMEs, and NCC 2022 energy requirements. Awards: ARCHIBUS Excellence Awards (2017-2013), Best Residential Development Awards (2009-2010), and Australian Postgraduate Award (1997). Teaching: Courses include Project Planning, Professional Practice in Engineering Management, and Global Project Management. He has supervised over 250 theses since 2003. Industry Roles: Director of Business Development for multiple organizations, specializing in construction, IT systems, and real estate. He advises on complex project delivery and stakeholder management.
Miguel Mujica Mota is a Senior Lecturer at the Faculty of Technology, National Autonomous University of Mexico (UNAM), and a member of the Centre of Applied Research Technology. His research focuses on airport operations, multimodal transport systems, and simulation modeling. He has expertise in analyzing capacity challenges in multi-airport systems, particularly in Mexico City, and developing decision support systems for airport security and resource allocation. His work integrates sustainability and efficiency, addressing topics like environmental reporting in airlines and post-pandemic airport recovery strategies. Research Contributions: Dr. Mujica Mota has published extensively on airport capacity optimization, multimodal transport integration, and simulation-based methodologies. Key projects include the X-TEAM D2D initiative for door-to-door travel and the IMHOTEP project for smart passenger flow management. His work often involves collaboration with institutions like Schiphol Airport and the H2020 EU framework. Research Interests: Airport terminal design, air traffic management, simulation modeling, multimodal logistics, and sustainable aviation. Awards: A-BOOST Research Fund (2020) Beste paper award EMM2018 X-TEAM D2D Project Recognition (2020) Activities: Organized conferences like the 2023 EUROSIM Simulation Seminar and served on committees for events such as the 2024 Multilog Conference. Grants & Projects: Involved in EU-funded initiatives like H2020, focusing on multimodal integration and sustainable transport solutions. His research also explores climate change impacts on infrastructure and simulation-based validation approaches.
Dr Stathis Tingas is a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment. His research focuses on hydrogen fuel systems, combustion engineering, and sustainable transportation technologies. With numerous publications in high-impact journals and conference proceedings, Dr Tingas has established himself as a significant contributor to the field of alternative energy systems. Dr Tingas' research interests center on hydrogen and ammonia as alternative fuels for transportation, with particular emphasis on combustion characteristics, engine performance, and emissions control. His work spans theoretical modeling, computational analysis, and practical applications for decarbonizing various transportation sectors including aviation, heavy-duty vehicles, and maritime transport. Recent publications demonstrate his focus on hybrid propulsion systems combining fuel cells with traditional engine technologies. Dr Tingas' publication record shows consistent productivity with research outputs spanning from fundamental combustion science to applied engineering solutions. His work often employs computational singular perturbation techniques for analyzing complex combustion phenomena, with recent focus shifting toward practical applications of hydrogen and ammonia fuels in real-world engine systems. The trend in his publications indicates growing emphasis on zero-emission transportation solutions aligned with net-zero targets. Dr Tingas serves as a second supervisor for PhD students, including Richard Wallace who is working on subsurface hydrogen storage simulation. He has successfully secured multiple research grants from UK government bodies including the Department for Science, Innovation & Technology, Scottish Government, and the Royal Society of Edinburgh, with projects totaling over £500,000 in funding. His current research portfolio includes projects focused on accelerating clean energy technology development, creating sustainable cities, advancing electromobility, and developing zero-carbon hydrogen engines for heavy transport applications. These projects demonstrate his commitment to addressing practical challenges in the transition to sustainable energy systems.
T. Ravichandran is a Professor in the Department of Humanities and Social Sciences at the Indian Institute of Technology Kanpur (IIT Kanpur) . His academic focus lies in Postmodern American Literature , Critical Theory , and Communication Skills . He has a PhD from Pondicherry University and has received prestigious recognitions including the Fulbright-Nehru Fellowship and a Gold Medal for Best PhD Thesis in English . Education: PhD, Pondicherry University (2000) MA, Madurai Kamaraj University (1988) BA, Madurai Kamaraj University (1986) His research spans postmodern narratives, cyberpunk, and the intersection of literature with technology and society. He has extensively analyzed the works of Thomas Pynchon and the cultural implications of postmodern science fiction. Scientific Awards & Honors: Fulbright-Nehru Academic and Professional Excellence Fellowship (2014–2015) Gold Medal for Best Ph.D. Thesis in English, Pondicherry University UGC–NET Lectureship Qualification Teacher Research Grant, ASRC, Hyderabad (twice) A. V. Tilak Prize for First in M.A. (1986–1988) He is actively involved in teaching and research, with a strong record of publications in peer-reviewed journals and conference proceedings. His work reflects a deep engagement with postmodern theory, American literature, and communication pedagogy.
Professor David Thomas holds the position of Professor in Computer Engineering at the University of Southampton's Electronics and Computer Science Department. His research focuses on the intersection of software and hardware, particularly leveraging FPGAs for novel digital architectures and event-driven computing. He has a notable academic trajectory, having previously served as a Lecturer and Senior Lecturer at Imperial College London before joining Southampton in 2021. Dr. Thomas is actively involved in supervising PhD students and contributes to interdisciplinary research projects funded by the EPSRC, such as the SONNETS initiative exploring scalable event-triggered systems. Education: BSc in Computer Science (Imperial College London), PhD in Digital Architectures (Imperial College London). Postdoctoral roles included Research Associate and Research Fellow at Imperial's Department of Computing. Research Interests: Event-driven computing, FPGA-based systems, high-level synthesis, and high-performance computing. His work emphasizes practical implementations of theoretical models, such as custom processors and application-specific accelerators. Current projects include optimizing random number generation for FPGAs and exploring meta-programming techniques for hardware design. Advising and Grants: Supervises multiple PhD students in areas like neuromorphic computing and algorithm optimization. Active in securing funding for distributed system architectures and FPGA-based solutions. Labs/Teams: Member of the Cyber Physical Systems research group. Collaborates with interdisciplinary teams on projects like POETS (Partially Ordered Event-Triggered Systems) for large-scale parallel computing.
Professor Alan J Murphy is a leading academic in Maritime Engineering at the University of Southampton. He holds a First-Class BEng in Naval Architecture and a PhD in Experimental Hydrodynamics. His research focuses on decarbonizing maritime systems, emission reduction, and sustainable propulsion technologies. He has held leadership roles including Head of the Marine, Offshore and Subsea Technology Group at Newcastle University and is currently Editor-in-Chief of the International Journal of Maritime Engineering. Education: BEng Naval Architecture (Newcastle University), PhD Experimental Hydrodynamics (University of Southampton) Affiliations: Royal Institution of Naval Architects Fellow, Worshipful Company of Shipwrights Liveryman Research interests include net-zero maritime propulsion, energy efficiency, and policy/regulation for sustainable shipping. He has supervised numerous PhD students and contributed to major projects such as the establishment of Newcastle University’s Singapore campus. Publications span topics like electrified port systems, alternative marine fuels, and underwater vehicle navigation. Awards include the Stanley Grey Fellowship and Froude Scholarship.
Dr Megan Evans is a Senior Lecturer in Public Sector Management at the School of Business, UNSW Canberra. She is an interdisciplinary social scientist focusing on environmental laws, policies, and tools, particularly in biodiversity and carbon offsetting frameworks. Education: PhD in environmental policy (Australian National University), BSc (Ecology) and BA (Mathematics) from The University of Queensland Her research drives policy impact in carbon offset integrity , biodiversity conservation , and environmental markets , including contributions to the Australian Government’s Biodiversity Offset Policy and the Queensland Land Restoration Fund . Her recent work examines biodiversity credits, carbon-negative technologies, and policy implementation challenges in human-induced regeneration projects. Key awards: Young Tall Poppy Award (2021) UQ Faculty of Science Rising Star Award (2018) ARC CEED scholarships (2014, 2017) She supervises five PhD students and has completed supervision of Dr Toiaba Binta Taher (PhD, with Professor Catherine Althaus). Her grants include an ARC DECRA Fellowship (2020–2023) and funding from the Department of Agriculture, Water and the Environment. Contact: megan.evans@unsw.edu.au
Parfait Martial Eloundou-Enyegue is a Professor in the Department of Global Development at Cornell University and serves as Section Head and President of the Recruitment, Tenure and Promotion Committee at Institut National D'Etudes Démographiques (INED, France). He also holds appointments at Cornell's Brooks School of Public Policy and leads the Cornell Institute of African Studies. His work spans demography, sociology, and development economics with a focus on reconciling micro- and macro-level social change analysis. Education : Doctorate and Master's from Pennsylvania State University; Ingenieur Agroeconomiste from University of Dschang (Cameroon) Research Interests center on demographic transitions, global inequality, education-development linkages, fertility-schooling relationships, and decomposition methods for social change. His work examines how population dynamics affect economic development, poverty, and policy in sub-Saharan Africa. Recent Articles explore demographic dividends, micro-macro integration in sociology, and global child inequality trends. Awards include Pennsylvania State University's Distinguished Alumnus (2020), multiple Comparative International Education Society recognitions, and UN-related policy engagements. Scientific Awards : 2020 Pennsylvania State University Distinguished Alumnus, 2018 Cornell CALS Science & Policy Award, 2008 Marilyn Emmons Williams Undergraduate Research Advising Award Teaching includes courses on social indicators, education inequality, and development empirics. He has consulted for UN, World Bank, and USAID, and led large-scale demographic training initiatives across Francophone Africa.
Professor Niki Trigoni is a faculty member at the University of Oxford's Department of Computer Science and a Governing Body Fellow at Kellogg College. She holds the rank of Professor of Computing Science. Her research focuses on intelligent and autonomous sensor systems, with applications in positioning, healthcare, environmental monitoring, and smart cities. Trigoni leads the Cyber Physical Systems Group and directs the EPSRC Centre for Doctoral Training on Autonomous Intelligent Machines and Systems (AIMS), which integrates robotics, machine learning, verification/control, and sensor networks. Education: DPhil from the University of Cambridge (2001), followed by postdoctoral research at Cornell University (2002–2004) and a Lectureship at Birkbeck College (2004–2007). Current roles include leadership in AIMS and the Cyber Physical Systems Group. Research Interests: Her work spans sensor networks, inertial navigation, mmWave radar applications, and deep learning for localization and mapping. Recent projects include indoor positioning systems for emergency responders and wildlife monitoring. She has open positions for PhD and postdoc researchers in areas like sensor fusion, human-robot interaction, and SLAM. Publications: Over 50+ peer-reviewed articles, including work on mmPoint, P2-Net, and RandLA-Net. Her research emphasizes real-world applications in robotics and autonomous systems. Grants and Leadership: Received a 3-year NIST grant (2017) for indoor positioning systems and leads initiatives in cyber-physical systems. Active in conference organization, e.g., TPC chair for Sensys 2017 and IPSN 2016. Labs/Teams: Cyber Physical Systems Group focuses on sensor systems, robotics, and autonomous systems. Collaborations span academia and industry, addressing challenges in smart cities and healthcare.
David R. Lee is an International Professor at the Charles H. Dyson School of Applied Economics and Management, Cornell University. He holds a BA from Amherst College (1972), MA and PhD from the University of Wisconsin-Madison (1980/1981). His research bridges economic development, agriculture, and environmental sustainability, focusing on food security, climate change impacts, and policy interventions. He has advised global institutions like the World Bank, FAO, and USAID, and received the World Bank Green Award twice (2007, 2011). Education: PhD in Applied Economics, University of Wisconsin-Madison (1981) MA in Economics, University of Wisconsin-Madison (1980) BA in Economics, Amherst College (1972) Research Interests: Dr. Lee explores how economic policies can enhance sustainable agriculture while mitigating environmental degradation. His work emphasizes climate-smart practices, technology diffusion among smallholders, and gender dynamics in resource use. Recent studies include analyzing religious networks' role in information sharing and bioenergy systems' climate mitigation potential. Awards: World Bank Green Award (2007, 2011) Teaching & Advising: Teaches International Trade and Finance and Natural Resources and Economic Development . Mentors graduate students in development economics. No specific grants listed, but extensive consultancy work with global institutions reflects applied research impact. Global Engagement: Conducted research in ~30 countries across Latin America, Sub-Saharan Africa, and beyond. Served as visiting scholar at FAO, USDA, and universities in Italy, Netherlands, Venezuela, and Honduras.
Dr. FARKAS Dávid is an Assistant Professor in the Department of Hydraulic and Water Resources Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). His office is located in Building K, basement level, room 12/7, and he holds weekly consultation hours on Mondays from 1–3 pm. Educational contributions include teaching core courses in hydrogeology and groundwater engineering: Groundwater (BMEEOVVMV63) Hydrogeology (BMEEOGMMG62) Infrastructural Design Project (BMEEODHAI41) Research activities concentrate on quantitative hydrogeology, with a special emphasis on karstic groundwater systems, seepage hydraulics, and the safety of flood-protection levees. He couples field investigations in iconic Hungarian cave systems (Buda Castle Cave, Molnár János Cave) with laboratory sandbox experiments and numerical modelling to advance understanding of flow and transport processes in fractured carbonates. Over the past decade his work has evolved from fundamental hydrogeological mapping toward the design and deployment of automated monitoring networks that integrate classical hydrological instruments with modern sensor technologies. This progression is evident in his most recent publications (2024-2025) that document the establishment of high-resolution cave monitoring systems capable of capturing rapid responses to precipitation events. Scientific awards currently listed: none. Advising and grants: no specific student names, grant numbers, or funded project titles are provided in the supplied text. Laboratories and teams: while no dedicated laboratory name is stated, his affiliation with the Department of Hydraulic and Water Resources Engineering implies access to the faculty’s hydraulics and hydro-environmental laboratories, including sandbox and seepage modelling facilities.
Prof. Dr.-Ing. Ralf Beck serves as Professor for Control and Regulation Technology and Automation Technology at Hochschule Düsseldorf University of Applied Sciences within the Faculty of Electrical Engineering & Information Technology. His academic responsibilities span multiple degree programs including BEng Electrical Engineering, BEng Industrial Engineering, and MSc Electrical Engineering and Information Technology. His educational background includes Mechanical Engineering studies at TU Braunschweig (1998-2004), followed by doctoral research at RWTH Aachen's Institute of Control Engineering where he earned his Dr.-Ing. in 2010 with a dissertation on predictive energy management for hybrid vehicles. Prior to his current professorship, he held progressive roles at FEV Europe GmbH from 2009-2018, culminating as Senior Project Manager for Vehicle and Powertrain Electronics. Beck's research focuses on control engineering systems with particular emphasis on automation technology, regulation systems, and model-based development approaches. His work bridges theoretical control methodologies with practical automotive applications, especially in hybrid vehicle energy management, multi-robot systems, and intelligent air path control. The Modellfabrik Fab21 serves as his primary experimental platform for model-based development applications. His publication record since 2005 demonstrates consistent contributions to control engineering, particularly in hybrid vehicle systems, emission control optimization, and calibration methodologies. Recent work shows increasing focus on distributed robotics and intelligent transportation systems, reflecting evolving research directions while maintaining core expertise in control theory applications. As an educator, Beck teaches foundational and advanced courses including Electrical Engineering III, Control and Regulation Technology, Model-Based Development, Technical Mechanics, and Advanced Control Engineering at the Master's level. His teaching integrates theoretical concepts with practical laboratory applications through the university's Moodle platform, emphasizing hands-on implementation of control algorithms and system modeling techniques.
