Ginés Carreto Picón serves as a Research Fellow within the Department of Electrical and Computer Engineering at Aarhus University, Denmark, specializing in the Signal Processing and Machine Learning research group. His work focuses on developing computationally efficient AI solutions for resource-constrained environments. His research expertise spans machine learning, signal processing, and artificial intelligence of things (AIoT), with emphasis on creating high-performance sequence processing models through continual learning frameworks, dimensionality reduction, and low-rank approximation techniques. These approaches significantly reduce energy consumption while maintaining model accuracy for edge deployment. His publication on visual fingerprinting for sequential data demonstrates his focus on interpretable pattern recognition methods. Current work centers on the 2024-2027 PhD project developing lightweight AI architectures specifically optimized for IoT devices, aiming to expand feasible AI applications in constrained computational environments. He actively contributes to the Signal Processing and Machine Learning laboratory's research ecosystem, advancing methodologies for practical implementation of efficient AI systems in real-world edge computing scenarios.
Professor Sergey Karabasov is a leading academic in computational modeling and aeroacoustics at Queen Mary University of London’s School of Engineering and Materials Science . As Director of the Centre for Intelligent Transport , he bridges aerospace engineering with environmental technology and bioengineering. Education: PhD (1999, Moscow State University), DSc (2010, Keldysh Institute) Affiliations: Fellow of the Royal Aeronautical Society (FRAeS), Fellow of the Higher Education Academy (FHEA), Associate Fellow of AIAA (AFAIAA) Research Interests span multiscale fluid dynamics, computational aeroacoustics, and high-performance computing. His work addresses: Future Mobility: Noise reduction in urban air mobility and conventional aircraft Environmental Technologies: Turbulence modeling for renewable energy and climate systems Digital Twins: Physics-based and data-driven simulations for aerospace and bioengineering Article Trends focus on: Hybrid LES-acoustic models for jet noise Multiscale methods in nanofluidics and molecular systems GPU-accelerated algorithms (e.g., CABARET) for complex flows Climate dynamics (Southern Ocean jets, Chandler wobble) Scientific Awards include: Fellowships at Royal Aeronautical Society and Higher Education Academy Associate Fellowship at AIAA Guest Editor for Royal Society Phil.Trans. A theme issues (2014, 2019) Advising includes current PhD student Hussain Ali Abid and alumni working on: Jet noise optimization Graphene suspension rheology Hybrid molecular-continuum simulations Labs & Teams involve the Centre for Intelligent Transport , GPU-Prime.Ltd consultancy, and collaborations with institutions like Cambridge University and Keldysh Institute.
Dr. Mark Dekker is a Researcher at Utrecht University's Faculty of Geosciences, specifically within the Copernicus Institute of Sustainable Development and the Environmental Sciences department. He also holds a position at the Netherlands Environmental Assessment Agency (PBL). His work bridges data science, mathematical modeling, and environmental policy, with a particular focus on climate change mitigation strategies. Dr. Dekker completed his PhD in 2022 with a thesis titled 'Macroscopic Dynamics in Complex Systems,' which examined interactions between microscopic and macroscopic phenomena across various complex systems including climate tipping points, railway disruptions, ecological patterns, neuroscience data, and pandemic interventions. His educational background has equipped him with strong analytical skills in mathematical and computational modeling. His research interests span Dynamics of Complex Systems , Climate Dynamics , Critical Transitions , and Integrated Assessment Modelling . Dr. Dekker applies data science and mathematical techniques to climate change questions, particularly focusing on climate justice and mitigation effort-sharing. He distinguishes normative considerations from climatological uncertainties to understand what determines fair national emission reduction targets. His work includes developing the Carbon Budget Explorer webtool for visualizing fair climate targets. Dr. Dekker's publication record shows a clear evolution from fundamental complex systems research during his PhD (2017-2021) toward applied climate policy analysis. His recent work (2022-2025) focuses on energy system modeling, climate scenario analysis, and effort-sharing frameworks. He has made significant contributions to understanding variance in climate policy scenarios and identifying 'model fingerprints' in mitigation pathways. His interdisciplinary approach connects climate science with social considerations of fairness and justice. As an educator, Dr. Dekker contributes to several bachelor-level courses including Introduction to Adaptive Systems, Graphics, Image processing, Introduction to Complex Systems, and Introduction Project. His teaching reflects his expertise in complex systems and computational approaches. Dr. Dekker is actively involved in the IMAGE team within the Horizon-2020 ECEMF project, working on scenarios describing future energy economy evolution and identifying potential routes to climate neutrality. His research combines data analysis, network analysis, computational modeling, and mathematical modeling using Python and Matlab. His work has significant policy relevance, particularly for national and international climate target setting.
Marion Leroutier is an Assistant Professor at CREST-ENSAE in Paris, specializing in applied environmental economics. She focuses on ambient air pollution and climate change , particularly their societal, economic, and health impacts. Her work explores the determinants of support for green policies , gender disparities in carbon footprints , and economic costs of pollution . Affiliated with the IFS , Misum , and IPP as a research affiliate Teaches Introduction to Economics (Bachelor) and Empirical Environmental Economics (Master) at ENSAE Her research integrates granular data on individual behavior with environmental metrics, revealing how socioeconomic factors and preferences shape emissions. Recent studies quantify the economic benefits of aligning air quality with WHO guidelines and the health potential of cycling. She has presented at conferences such as EAERE , LSE Environment Week , and Misum Conference , with media coverage in The Guardian , The Economist , and Le Monde . For collaboration or inquiries, contact her directly at marion.leroutier@ensae.fr .
Assoc. Prof. Dr. Aslı Ulubaş Hamurcu is an Associate Professor at the Department of Urban and Regional Planning, Faculty of Architecture, Istanbul Technical University . She graduated magna cum laude from Middle East Technical University in 2013 and earned her Ph.D. from Istanbul Technical University in 2021, focusing on socio-spatial change influenced by socio-technological factors. Her research spans urban planning , socio-spatial theory , and sustainable urban conservation , with a particular emphasis on digitalization's impact on urban spaces. She has published extensively on topics like the metaverse , COVID-19's spatial patterns , and smart cities . She has received multiple awards, including the YÖK Doctoral Thesis of the Year Award (2022) and TÜBİTAK UBYT grants (2021–2023). Her work bridges science-technology-society interactions and urban policy .
Abhinava Tripathi is an Assistant Professor in the Department of Management Sciences at Indian Institute of Technology Kanpur (IIT Kanpur), where he joined in August 2022. He previously served as an Assistant Professor at IIT Roorkee from July 2020 to July 2022. His academic journey includes a PhD in Finance and Accounting from IIM Lucknow (2017-2020), an MBA from IIM Kozhikode (2011), and a B-Tech in Chemical Engineering from IIT Roorkee (2008). Before transitioning to academia, he gained substantial industry experience as Manager at ICICI Bank, Credit Analyst at ICRA, and Deputy Manager at SBI Capital Markets. PhD, Finance and Accounting, IIM Lucknow (2017-2020) MBA, Finance and Accounting, IIM Kozhikode (2011) B-Tech, Chemical Engineering, IIT Roorkee (2008) Dr. Tripathi's research focuses on financial markets, market microstructure, liquidity, and market efficiency, with particular emphasis on banking, corporate finance, investment management, and quantitative finance applications. His work bridges theoretical finance with practical market applications, exploring how market structures affect price formation and information dissemination. He has made significant contributions to understanding liquidity patterns in both traditional and cryptocurrency markets, as well as examining market efficiency during extreme events like the COVID-19 pandemic. His recent publications demonstrate a strong focus on market microstructure, with particular attention to liquidity commonality across different market conditions and asset classes. His research employs advanced econometric techniques to analyze market behavior during normal and stressed periods, with applications to both developed and emerging markets. Dr. Tripathi has published in prestigious journals including Energy Economics (A*), Australian Journal of Management (A), Applied Economics (A), and Finance Research Letters (A). Advisory to National Stock Exchange of India (NSE) on course development and training programs (2021-present) Advisory to Uttarakhand Government on project/consultancy matters (2020-present) Reviewer for Finance Research Letters, Journal of Behavioral Experimental Finance, and International Review of Economics & Finance Dr. Tripathi supervises multiple PhD students working on diverse topics including market efficiency in carbon markets, ESG funds, cryptocurrency markets, and banking sector dynamics. He has led several sponsored research projects including financial viability assessment for the Kalpasar Project (Gujarat Government), transaction advisory for Uttarakhand Sugars, and Ease of Doing Business study for Ministry of Corporate Affairs. His teaching portfolio includes Security Analysis, Portfolio Management, Algorithmic Trading, and Modern Financial Markets across various institutions including IIT Kanpur, IIT Roorkee, and IIM Shillong.
Dr. Ira Kurtz is a Professor of Medicine at the University of California, Los Angeles (UCLA), and Chief of Nephrology. He is also a Member of the Brain Research Institute. His research focuses on renal physiology, acid-base homeostasis, and molecular transport mechanisms, particularly within the SLC4 transporter family. His work spans structural biology, molecular dynamics, and clinical nephrology. His scientific contributions include structural characterization of SLC4 transporters using cryo-EM and molecular dynamics simulations, revealing key insights into ion translocation pathways and conformational dynamics. He has extensively studied the molecular basis of proximal renal tubular acidosis and electrolyte disorders, with particular emphasis on NBCe1 transporter function and regulation. Dr. Kurtz's publications demonstrate expertise in renal acid-base physiology, membrane transporter characterization, and clinical applications. His work connects fundamental molecular mechanisms with human diseases, including corneal endothelial dystrophies, thrombotic microangiopathy from anti-VEGF treatments, and genetic disorders affecting ion transport. His research methodology integrates computational biology, structural biology, and translational medicine approaches. He has developed novel quantitative models for acid-base analysis and electrolyte disorders, challenging established paradigms like the Stewart approach through critical evaluation of bicarbonate-centered models.
Professor Hoai Phuong Ha is affiliated with UiT The Arctic University of Norway's Department of Computer Science. A leading expert in green computing and cyber-physical systems, they contribute to Arctic research through the Distributed Arctic Observatory (DAO) and Arctic Green Computing (AGC) group. Founded ARC (Arctic Center for Sustainable Energy) PI in EU FP7 EXCESS and H2020 TAILOR projects WP-leader in EEA POLNOR HAPADS and RCN PREAPP projects Their research focuses on energy-efficient computing, including IoT systems, edge computing, and parallel algorithms. Recent work addresses wireless charging trajectories (eU2U, 2025), smart grid networks (GridWatch, 2024), and pollution monitoring (2024). Publications span cyber-physical observatories, sensor calibration, and distributed systems optimization. Key trends in their 15 most recent articles (2017-2025) include: energy-aware data structures, Arctic-adapted IoT deployments, and sustainable computing methods. Collaborations span EU and Norwegian grants with applications in smart grids, environmental sensing, and high-performance computing. Co-founder of Arctic Center for Sustainable Energy (2017) Active in EEA POLNOR (2019-2023) and RCN eX3 infrastructure project Their lab (Realfagbygget A237) develops systems for Arctic tundra monitoring, including UAV-powered networks and energy-harvesting protocols. Students include researchers from multiple international collaborations.
David Hinks is Dean of the Wilson College of Textiles and Professor of Textile Chemistry at North Carolina State University. He leads over 145 employees, mentors hundreds of students, and manages over $10 million in research contracts with industry and government agencies. He holds the Cone Mills Distinguished Professorship and is a member of both the Academy of Outstanding Teachers and the Academy of Outstanding Faculty Engaged in Extension. His educational background includes: B.Sc. (Honors) in Colour Chemistry, University of Leeds, 1989 Ph.D. in Cationic Reactive Dyes for Cellulosic Fibres, University of Leeds, 1993 Dr. Hinks' research focuses on color science, forensic textile analysis, sustainable dyeing processes, and environmentally responsible dyestuff design . His work bridges chemistry, engineering, and forensics, with applications in both industry and criminal justice. He has developed novel methods for neutral pH cotton bleaching, forensic fiber databases, and ultra-deep dyeing technologies. His recent publications reflect a strong trend toward forensic applications of textile chemistry, sustainability in dyeing processes, and advanced analytical techniques such as LC-TOF MS and microfluidics. These works demonstrate interdisciplinary collaboration across chemistry, engineering, and computational science. His scientific honors include: Member, NC State Academy of Outstanding Teachers Member, NC State Academy of Outstanding Faculty Engaged in Extension Dr. Hinks has mentored dozens of graduate and undergraduate students, many of whom have won top awards including the AATCC Student Paper Competition, NSF Graduate Fellowships, and the Barry Goldwater Scholarship. Five of his former students are now professors internationally. He has secured substantial research funding from NSF, USAID, National Institute of Justice, Cotton, Inc., and Hanesbrands, supporting projects in forensic science education, sustainable textiles, and crime scene reconstruction. He leads or contributes to key research initiatives including: Comparative Finished Fiber Analytical Database (COMFFAD) IC-CRIME: Interdisciplinary Cyber-Enabled Crime Reconstruction Development of non-genotoxic dyes and sustainable textile processing
Dr. Mehran Masdari is a Lecturer in the Department of Aerospace Engineering at City St George's, University of London, where he has been serving since 2024 after joining as a Research Fellow and Visiting Lecturer in 2022. He previously held the position of Assistant Professor at the University of Tehran from 2012 to 2022, where he founded and led the Experimental Aerodynamic Research Laboratory (EARL). Education: PhD in Aerodynamics, Sharif University of Technology, Iran (2011) Fellow of the Higher Education Academy (FHEA), City, University of London, United Kingdom (2024) Dr. Masdari's research focuses on experimental aerodynamics, measurement techniques, data analysis, and image processing. He specializes in heat transfer optimization using pulsating flows, aeroacoustic analysis of drone propellers, and energy harvesting from flow-induced motions. His work bridges fundamental fluid dynamics with practical engineering applications in aerospace and sustainable technologies. He teaches core courses such as 'Measurements and Data Analysis', 'Advanced Aerodynamics', and 'Aeroelasticity', contributing significantly to aerospace education. The recent publications reflect a strong trend in experimental methods, particularly in image-based diagnostics, unsteady flow control, and energy conversion from fluid-structure interactions. His work spans thermal engineering, aeroacoustics, and smart materials, demonstrating interdisciplinary innovation in aerospace systems. Scientific Awards and Recognitions: Fellow of the Higher Education Academy (FHEA) Fellow of the Royal Aeronautical Society Dr. Masdari has advised numerous graduate students at the University of Tehran and continues to mentor early-career researchers at City St George's. His research has been supported by institutional and national grants related to advanced measurement systems, drone technology, and sustainable energy solutions. He has led projects integrating optical diagnostics with thermal and structural testing, contributing to both academic knowledge and industrial applications. He established and directed the Experimental Aerodynamic Research Laboratory (EARL) at the University of Tehran, a facility dedicated to cutting-edge experiments in flow measurement, heat transfer, and aeroelasticity. His lab work emphasizes innovation in instrumentation and data interpretation, fostering a hands-on research environment for students and collaborators.
Dr James Knight is a Senior Research Fellow in Informatics at the School of Engineering and Informatics, University of Sussex. He is currently an EPSRC Research Software Engineering Fellow (2022–2026), leading research in neuromorphic computing and spiking neural networks. His work bridges computer science, neuroscience, and robotics, with a focus on bio-inspired artificial intelligence and computational modeling of insect cognition. Education: PhD in Computer Science, University of Manchester (2013–2016) MPhil in Advanced Computer Science, University of Cambridge (2012–2013) BEng in Electronic Engineering, University of Warwick (2003–2006) His research interests center on neuromorphic computing , spiking neural networks , and bio-inspired AI , particularly drawing insights from insect neuroscience to develop efficient and robust machine learning systems. He explores event-based vision, neural hardware acceleration, and computational models of insect navigation and perception. The 15 most recent publications (2024–2025) reflect a strong trend in developing and benchmarking neuromorphic algorithms, including training methods like Eventprop, hardware-software co-design (e.g., FeNN processor), and modeling biological systems such as insect central complex and mushroom bodies. These works span journals like Nature Communications , PLoS Computational Biology , and Neuromorphic Computing and Engineering , as well as IEEE and Springer conferences. Scientific Grants: Unlocking spiking neural networks for machine learning research (EPSRC, 2022–2026) – Principal Investigator ActiveAI – active learning and selective attention for robust, transparent and efficient AI (EPSRC, 2019–2022) – Research Team Member Dr Knight actively collaborates with leading researchers including Thomas Nowotny, Andrew Philippides, and Paul Graham. His work contributes to both theoretical advances in neural computation and practical applications in robotics and AI. He is involved in developing frameworks such as NeuroBench for standardized evaluation of neuromorphic systems. Laboratories and Research Teams: He is part of the neuromorphic computing and computational neuroscience research groups at the University of Sussex, contributing to interdisciplinary projects that integrate software engineering, AI, and biological modeling.
Matthew D Goodman is a Senior Lecturer at the Materials Science and Engineering department within the Grainger College of Engineering at the University of Illinois at Urbana-Champaign. He also serves as an Education Innovation Fellow and Keen Consultant at the Siebel Center for Design. His research focuses on materials synthesis, nanocomposites, self-assembly, and engineering education innovation. Position: Senior Lecturer, Materials Science and Engineering Affiliations: Grainger College of Engineering, Siebel Center for Design Key Research Areas: Materials Science, Self-Assembly, Battery Technology, Engineering Education Goodman's work spans from fundamental materials synthesis (e.g., carbon opals, quantum dots, nanocomposites) to educational reforms in engineering curricula. His recent projects include human-centered design integration in capstone courses , materials database implementation in freshman education , and the iELITE leadership initiative for teaching excellence. His publications highlight trends in mesoporous colloids , carbon-silicon nanotubes , and self-assembled nanostructures with applications in energy storage and photovoltaics. He holds a patent on carbon opal templates for inverse opal fabrication. Scientific Awards: Education Innovation Fellow Keen Consultant
Dr. Marcus Handte is a Senior Researcher at the University of Duisburg-Essen, focusing on networked embedded systems, context-aware computing, and sustainable mobility. His academic journey includes a Habilitation in Computer Science (2013) and a PhD in Natural Sciences (2009) from Universität Stuttgart, alongside a Master's degree from Georgia Institute of Technology (2002). Research Interests Context-aware applications Localization and location-based systems Sustainable mobility solutions Internet of Things (IoT) Smart city infrastructure Privacy-preserving technologies His recent work involves developing platforms for multimodal mobility analysis (MOBYDEX), wireless EV charging systems (TALAKO, FAIR), and innovative approaches to indoor localization. Publications span journals like Machine Vision and Applications and conferences in pervasive computing. Scientific Recognition Best Poster Award at ACM KMIS 2023 Dr. Handte has contributed to projects such as ATMo2, INNAMORUHR, and GAMBAS, and maintains active collaborations across institutions. His expertise in adaptive middleware and distributed systems continues to shape research in smart mobility and ambient intelligence.
Christopher Hendon is an Associate Professor in the Department of Chemistry and Biochemistry at the University of Oregon, where he leads research in computational chemistry, sustainable materials, and energy storage. He is a key member of the university’s Energy and Sustainable Materials Initiative, promoting interdisciplinary collaboration to address global sustainability challenges. Department: Department of Chemistry and Biochemistry School: College of Arts and Sciences University: University of Oregon Lab: HMS Oregon – located in the Lewis Integrative Sciences Building Education: BSc (Advanced Hons) from Monash University, PhD from the University of Bath, Postdoc at MIT Hendon’s research spans computational modeling of metal-organic frameworks (MOFs), defect chemistry in semiconductors, and the physics of coffee extraction. He uses quantum chemical simulations to study electron transport, doping, and catalytic mechanisms, with applications in batteries, hydrogen storage, and carbon capture. His work in coffee science has revolutionized understanding of water chemistry, grinding, and brewing reproducibility, influencing both industry and academic communities. The recent articles from his group reflect a strong interdisciplinary trend, combining chemistry, biology, environmental science, and sensory analysis. Key themes include coffee quality, food safety (e.g., mycotoxins), microbiome interactions, packaging, and neurocognitive effects of caffeine. The research increasingly integrates data science, consumer behavior, and sustainability metrics. Scientific Engagement: Author of Water for Coffee , a foundational text in specialty coffee Collaborator with World Barista Champions (Maxwell Colonna-Dashwood, Kyle Ramage) COHOP research collaboration in coffee science Developer of a proposed interdisciplinary coffee research lab at UO Hendon actively mentors graduate and undergraduate students and collaborates with experimentalists worldwide. His lab does not handle traditional chemicals but uses supercomputers for quantum simulations. While he currently cannot support postdoctoral scholars due to funding limitations, he encourages applications from motivated graduate students through the UO Chemistry Department. His outreach through coffee has made complex scientific concepts accessible to broad audiences. Lab and Research Team: Graduate Students: Tekalign T. Debela, Parker Brodale, Doran Pennington, Brian Diamond, Casey Clark Undergraduates: Jasper Sterling, Julio Miranda, Maggie French, Laurel Wood, Ian Reynolds, Octavio Solórzano Visiting Scholar: Matthew Sciprint Focus Areas: MOFs, defect engineering, energy materials, coffee science
Katharine Round is a Lecturer (Teaching) in Ethnographic and Documentary Film at the Department of Anthropology, University College London (UCL). With over two decades of professional experience in creative non-fiction filmmaking, she has worked with prestigious institutions like Netflix, BBC, BFI, Arts Council England, and Creative Europe. Her film practice challenges documentary conventions through formal innovation and hybrid approaches. Co-founder of Disobedient Films (2014) Co-founder of Doc Heads (2009) Studio Lead on UCL's MA Ethnographic and Documentary Film Developer of the DocFiction pathway (launched 2022) Her research focuses on: Experimental documentary forms Boundary-pushing ethnographic film Climate change communication through Climate Symphony project Hybrid reality-fiction narratives in Ghost Town project Memory and trauma representation Interdisciplinary approaches to film Selected scientific awards: UCL-Tohoku Strategic Partnership Award for post-tsunami research Professional activities include presentations at: Holy Motors conference (2025) The Researcher in the Room event (2025) Taxi to the Other Side conference (2025)
