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Sotira YiacoumiView profile

Professor

• Environmental Engineering
• Colloidal and Interfacial Phenomena
• Sorption Processes
• +3 more

Dr. Sotira Yiacoumi serves as a Professor in the School of Civil and Environmental Engineering at the Georgia Institute of Technology, where she leads research at the intersection of colloidal science, environmental systems, and nuclear applications. Her work bridges fundamental interfacial phenomena with critical challenges in nuclear waste treatment and carbon capture, positioning her as a key contributor to sustainable environmental engineering solutions with global implications. Education Diploma of Engineering, Aristotle University, Greece (1985) M.S. in Engineering, Syracuse University (1987) Ph.D. in Engineering, Syracuse University (1992) Research Focus Professor Yiacoumi's research centers on colloidal and interfacial phenomena within environmental and energy systems, with dual emphasis on nuclear waste remediation and carbon capture technologies. She investigates sorption mechanisms of metal ions and organic compounds, particle interactions in aquatic environments, and bubble dynamics in reactive systems. Her experimental and modeling approaches reveal how sorption kinetics influence colloidal stability and flocculation behavior, providing foundational insights for developing novel environmental processes. Publication Trends Her recent publications (2023-2025) demonstrate a strategic pivot toward climate mitigation and nuclear safety, with 60% focused on CO 2 capture (particularly direct air capture using amino acid solvents and phase-changing compounds) and 40% on nuclear applications (radioactive iodine capture and uranium recovery). This dual focus reveals an integrated approach where colloidal science principles are leveraged across energy and environmental domains, with recurring themes of solvent optimization, magnetic separation techniques, and atmospheric particle dynamics. Scientific Recognition National Science Foundation Career Award (1997) for research on sorption rates and particle flocculation kinetics Top Teacher Award at Georgia Tech (2021) recognizing excellence in engineering education Organizing Chair for the 77th American Chemical Society Colloid and Surface Science Symposium (2003) Academic Leadership Professor Yiacoumi has secured sustained research funding including her foundational NSF Career Award, directing projects that translate fundamental colloidal science into practical environmental solutions. Her teaching excellence is evidenced by the 2021 Top Teacher Award, while her leadership in organizing major scientific symposia demonstrates commitment to advancing her field. She actively mentors graduate students in experimental techniques spanning adsorption modeling, magnetic separation, and atmospheric particle analysis.

• Natural and Artificial Lighting
• Solar Energy (Passive and Active)
• Building Technology
• +3 more

Jean-Louis Scartezzini is an Honorary Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Architecture, Civil and Environmental Engineering (ENAC) and the Solar Energy and Building Physics Laboratory (LESO-PB). His research focuses on natural/artificial lighting, solar energy systems, and building technology, with a strong emphasis on energy efficiency and sustainability. Director of LESO-PB since 1994 Founded and led several institutes, including the Institute for Infrastructure, Resources, and Environment (2002–2009) Doctorat in Physics from EPFL (1986) Extensive international collaborations, including visiting roles at NUS (2009) and LBNL/UCLA (1988) Research interests include: - Daylighting and lighting control systems - Passive/active solar technologies - Urban microclimate and energy systems - Stochastic simulation and predictive control Recent work addresses climate change impacts on energy systems, urban sustainability, and machine learning applications in energy optimization. Key publications span lighting health impacts, renewable integration, and microclimate modeling Awards include the European Solar Prize (2001/2002) and Walsh-Weston Bronze Medal (1998) Mentored over 20 PhD students, many leading in academia and industry (e.g., Marilyne Andersen at EPFL, Flavio Foradini at E4Tech).

Timothy K. MintonView profile

Professor

• Gas-phase and gas-surface reaction dynamics
• Shock layer chemistry in hypersonic flows
• Material degradation in low-Earth-orbital environments
• +3 more

Timothy K. Minton is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado, Boulder, and a member of the Aerospace Mechanics Research Center (AMREC). He holds a PhD from the University of California, Berkeley (1986) and a BS from the University of Illinois, Urbana-Champaign (1980). His research focuses on gas-phase and gas-surface reaction dynamics, particularly in hypersonic flow environments and space material degradation. He has held editorial roles at The Journal of Spacecraft and Rockets and The Journal of Physical Chemistry , and has been recognized with prestigious awards including Fellowships from the American Physical Society (2015) and American Association for the Advancement of Science (2012). Dr. Minton’s work emphasizes understanding atomic oxygen interactions with satellite materials, shock layer chemistry, and material durability in low-Earth-orbit environments. His innovations include the development of the Table-Top Shock Tunnel (TTST) for rapid material testing and durable coatings for space applications. He has also contributed to advancing models for carbon oxidation and nitridation processes. His awards highlight leadership in aerospace and chemistry, including the NASA Monetary Award (1995) for semiconductor etching innovations and the Charles & Nora Wiley Award (2002) for meritorious research. He maintains a courtesy appointment in the Department of Chemistry at CU Boulder and actively collaborates with industry (e.g., Skeyeon, Inc.) and international institutions.

• Educational Technology
• Technology-Enhanced Learning
• Learning Design
• +4 more

Dr. Amanda Gigliotti is a Senior Lecturer at the School of Education, University of Wollongong , with expertise in technology-enhanced learning and teacher design practice. Her research investigates how educators integrate technology into pedagogy, focusing on design decisions and professional development. Current role (2025–present): Senior Lecturer, University of Wollongong Previous appointments: Lecturer (2023–2024), Career Development Fellow (2020–2023) PhD in Education (2020), Bachelor of Primary Education (Honours) (2011) Her work emphasizes inclusive digital learning , with grants totaling $292,797.25 as lead investigator. She co-authored 6 journal articles, 2 book chapters, and 2 reports, often collaborating on topics like online curriculum design and WIL simulations. Key awards include the University of Wollongong's Vice Chancellor (Early Career) Award for teaching excellence. She chairs UOW’s Early Career Researcher Committee and founded ASSH’s Early Career Academic Network, mentoring over 100 international academics.

• Advanced Semiconductor Packaging
• Thermal Management
• Co-Design and Multiphysics Modelling
• +3 more

Christopher Bailey is a Professor of Advanced Semiconductor Packaging and Director of the Centre for Advanced Semiconductor Packaging at Arizona State University (ASU). He previously served as Professor of Computational Mechanics & Reliability and Associate Dean for Research at the University of Greenwich, UK. At ASU, he leads research on advanced semiconductor packaging, including roles as Principal Investigator (PI) and Co-Investigator (Co-I) on major projects such as the SRC-funded Thermo-Mechanical Modelling and US Chips Act initiatives (e.g., SWAP-Hub, SHIELD, ITSI). His research focuses on semiconductor packaging reliability, thermal management, co-design methodologies, and multiphysics modeling. Education: MBA (Technology Management), Open University, UK PhD, Thames Polytechnic, UK Research Interests: Advanced Semiconductor Packaging Thermal Management Solutions Co-Design and Multiphysics Modeling Reliability of Electronic Components His work integrates computational mechanics, materials science, and engineering to address challenges in high-reliability electronics. Recent projects emphasize predictive modeling for semiconductor packaging failures under thermal-mechanical stress. Awards: IEEE Region 8 Europe Award (2024) IEEE David Feldman Award (2022) Visiting Professorships at IIT Kharagpur (2018/2022) and Hong Kong (2018) Service & Leadership: Former President of IEEE Electronics Packaging Society (2020–2021) Associate Editor for IEEE Transactions on Components, Packaging, and Manufacturing Technology Conference Leadership (e.g., Program Chair for IEEE PAINE 2024) He has secured over $40M in research funding and authored 400+ archival papers, with expertise spanning industry collaborations (e.g., BAe Systems, Rolls Royce) and government advisory roles (EPSRC Peer Review College, UK Research Excellence Framework).

• Artificial Intelligence
• Multimodal Interaction
• Natural Language Processing
• +4 more

Arash Eshghi is an Assistant Professor in the School of Mathematical & Computer Sciences at Heriot-Watt University, specializing in the Department of Computer Science. His research focuses on multimodal interaction, embodied AI, and dialogue systems, with applications in human-AI collaboration, vision-language models, and incremental processing. He leads projects like the EMMA and AlanaVLM frameworks, which explore embodied agents in 3D environments and egocentric video understanding. His work emphasizes ethical considerations in conversational AI, including dementia-friendly voice assistants and faithfulness in large language models. He collaborates internationally, with contributions to benchmarks like the BURCHAK corpus and the Block World repair framework. Eshghi’s research bridges computational linguistics, cognitive science, and robotics, addressing challenges in ambiguity resolution, spatial reasoning, and incremental dialogue processing. Key collaborations involve institutions like the University of Edinburgh and MIT, focusing on multimodal learning, dynamic syntax, and interactional semantics. His lab develops tools for grounded language learning and real-time interaction, with a focus on systems that adapt to human feedback and contextual dynamics.

Ivan ViolaView profile

Associate Professor

• Visualization
• Computer Graphics
• Biological Visualization
• +3 more

Ivan Viola is an Associate Professor at the Institute of Computer Graphics and Algorithms, part of the Faculty of Informatics at TU Wien, Austria. He holds a leave of absence until December 2024 while also being affiliated with King Abdullah University of Science and Technology (KAUST) as an Associate Professor funded by the Vienna Research Groups program. His research focuses on visualization techniques in medicine, biological sciences, and earth sciences, with a specialty in illustrative visualization and DNA-nanotechnology applications. Viola has contributed over 100 scientific works and serves as a reviewer and panelist for major conferences in computer graphics and visualization. Education: M.Sc. (2002) and Ph.D. (2005) in Computer Graphics from TU Wien. Postdoctoral research at the University of Bergen (2006-2011), where he became Full Professor before returning to TU Wien. Research Interests: Whole-cell visualization Molecular modeling Interactive 3D environments Biomedical visualization Data-driven colormap techniques Awards: IEEE VIS 2017 Best Paper Honorable Mention, 'Best Overall Concept' for CellView, and multiple visualization awards. Active in EuroVis and IEEE VIS organizing roles. Grants & Supervision: Leads the Visualization Group at TU Wien, supervising student projects and master’s theses. Involved in grants like the Vienna Research Groups program. Labs/Teams: Visualization Group at TU Wien, collaborating on projects like CellView and Molecumentary.

Rainer BöckmannView profile

Professor

• Computational Biology
• Theoretical Biophysics
• Membrane Biophysics
• +7 more

Rainer Böckmann is a Professor of Computational Biology in the Department of Biology at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany, where he leads the Group for Theoretical and Computational Membrane Biophysics. His research integrates molecular dynamics simulations with biophysical analysis to study membrane structure, dynamics, and function. Research Interests: His work focuses on computational biophysics, particularly lipid bilayers, membrane proteins, molecular dynamics, and structural bioinformatics. He investigates how lipid composition, cholesterol, and embedded peptides influence membrane organization, curvature, and permeability, with applications in antimicrobial strategies and mRNA vaccine delivery systems. Recent Research Trends: His recent publications reflect a strong emphasis on lipid nanoparticles (LNPs), particularly their phase behavior, pH-dependent protonation, and structural transitions relevant to mRNA vaccines. He also explores antimicrobial peptides, membrane domain formation, and the role of cholesterol in modulating membrane properties. His group develops and applies advanced simulation techniques, including constant-pH MD and coarse-grained modeling. Member of Editorial Board, Biophysical Journal (2024–present) Elected Member, DFG Review Board for Biophysics (2020–present) Chairman, Molecular Biophysics Section, German Biophysical Society (2011–2012) Leadership and Service: Böckmann is actively involved in academic governance, serving on editorial boards, DFG committees, and as a guest editor for special issues in Frontiers journals. He contributes to graduate education and high-performance computing initiatives at FAU, including the NHR@FAU and Life@FAU Graduate School. He has organized major conferences and workshops in biophysics and membrane modeling. Laboratory and Collaboration: He leads a research group focused on biomembrane physics, collaborating with experimentalists and theorists. His lab develops and applies simulation tools to study membrane systems, bridging computational insights with biological function.

• Multi-access Edge Computing
• High-Performance Networks
• Cognitive IoT Systems
• +7 more

Prof. Ahmed Al-Dubai is a Professor at the School of Computing, Engineering and the Built Environment, Edinburgh Napier University, where he leads the IoT and Networked Systems Research Group and serves as Cybersecurity and Cyber Physical Systems Research Lead. His interdisciplinary research spans Multi-access Edge Computing, High-Performance Networks, Cognitive IoT Systems, VANETs, AI, E-Health, Smart Cities, and Security . He earned his PhD in Computing Science from the University of Glasgow in 2004. His recent publications focus on edge computing architectures, digital twin security, Arabic NLP, wireless energy harvesting, and vehicular communication . His work has been recognized with IEEE Outstanding Service Award, Best Paper Awards at IEEE IUCC 2015 and ACM MoMM 2013 , and fellowships like Senior IEEE Member and British Higher Education Academy Fellow . He supervises 20+ PhD students and has served on 60+ IEEE/ACM conference committees. Current projects include AI-driven fish identification (Innovate UK £265K) , secure IoT protocols (Royal Society £12K) , and COG-MHEAR (EPSRC £3.26M) . He has held visiting professorships at Universite de Valenciennes, University of Sydney, and University of Shenyang.

• Radiomics
• Medical Imaging Analysis
• Machine Learning in Healthcare
• +7 more

Adrien Depeursinge is a Professor at HES-SO Valais-Wallis - Haute Ecole de Gestion, affiliated with the School of Economics and Services and the Management Information Systems department. His research focuses on radiomics, personalized medicine via image-based analysis, and clinical workflow optimization. He leads the development of the QuantImage platform, a physician-centered web-based tool for radiomics research, and contributes to radiomics standardization efforts through initiatives like the Image Biomarker Standardization Initiative (IBSI). His work emphasizes machine learning applications in healthcare, including tumor segmentation, biomarker extraction, and improving diagnostic accuracy through computational models. Key research themes include: 1) Radiomics – developing quantitative imaging features for cancer diagnosis/prognosis; 2) Medical Imaging Analysis – advancing texture-based models, multi-modal fusion, and automated lesion detection; 3) Physician-AI Collaboration – designing user-centric tools for clinical integration. His contributions span neuro-oncology (brain metastases), head-and-neck cancer, and multiple sclerosis imaging. Publications emphasize methodological advancements (e.g., kernel optimization in CNNs, steerable detectors) and clinical validation (e.g., reproducibility of radiomics features across imaging protocols). He collaborates with institutions like the University Hospital of Lausanne (CHUV) and international teams on projects like the HECKTOR challenge for PET/CT tumor segmentation. His work bridges technical innovation with clinical impact, aiming to translate radiomics into actionable clinical tools. QuantImage v2, his flagship tool, enables no-code development of machine learning models using clinical imaging data. Research also includes phantom-based validation of radiomics features and addressing challenges in feature stability across imaging modalities. Current projects explore improving contour quality for radiomics studies and optimizing AI explainability in medical decision-making.

• Earthquake Site Response
• Ground-Motion Modeling
• Seismic Building Codes
• +3 more

Dr. Paolo Bergamo is a Senior Researcher at the Swiss Seismological Service (SED), ETH Zurich, since April 2016. He specializes in engineering seismology, focusing on earthquake site response models, ground-motion modeling, and seismic risk assessment. His work includes projects such as the Earthquake Risk Model Switzerland (ERM-CH23) and the SERA Horizon2020 initiative. He holds a PhD in Earth Sciences from Politecnico di Torino (2012) and advanced degrees in Environmental Engineering. Key research areas include soil amplification analysis, geophysical surveys, and the integration of empirical and computational methods for seismic hazard mitigation. His contributions span microzonation studies, site characterization using borehole and ambient vibration data, and the development of design-compatible waveforms for Swiss building codes. Education: PhD in Water and Territory Management Engineering, Politecnico di Torino (2012) MSc and BSc in Environmental Engineering, Politecnico di Torino (2008, 2005) Research Interests: Dr. Bergamo’s work emphasizes the collation of empirical ground-motion data with building codes, spatial modeling of soil amplification, and geophysical site characterization. He employs advanced techniques like surface-wave analysis, machine learning, and canonical correlation for seismic hazard assessment. Projects & Grants: ERM-CH23: Site response implementation and national seismic risk modeling SERA Project (Horizon2020): Site characterization indicators Swiss Federal Office for Environment-funded studies on microzonation and geophysical monitoring Labs & Teams: Active contributor to the Engineering Seismology group at SED, leading efforts in alpine valley seismic modeling and offshore site characterization in Lake Lucerne.

Nuno PintoView profile

Senior Lecturer

• Urban Planning
• Urban Simulation
• Integrated Urban and Transport Planning
• +3 more

Nuno Pinto is a Senior Lecturer in Urban Planning and Urban Design at the University of Manchester's School of Environment, Education and Development. He holds a PhD in Planning from BarcelonaTech (Spain) and a Civil Engineering degree from the University of Coimbra (Portugal). Previously, he held academic positions at the University of Coimbra and served as a Researcher at the Polytechnic Institute of Leiria. His research focuses on quantitative approaches to urban planning, including decision support systems, urban simulation, integrated transport planning, and big data applications. He is particularly known for his work on cellular automata models and agent-based simulations in urban policy analysis. Nuno has secured significant funding, including a £663k EPSRC grant for the 'Resilience Beyond Observed Capabilities Network+' and a £19k Turing-Manchester grant for VR analytics in digital twins. Teaching expertise spans data science applications in planning, GIS, and decision-support methods across multiple master's programs. He advises on PhD topics combining quantitative methods with Iberian/Latin American urban contexts. Nuno is a Fellow of the Higher Education Academy and recipient of the 2011 Breheny Prize for outstanding urban planning research. Notable projects include 'Synthetic Cities' digital twin frameworks, peri-urban climate change analyses (PERI-CENE), and cross-border collaborations like the FAPESP-University of Manchester initiative. Current research explores smart city strategies in Latin America and carbon accounting systems. Supervised over a dozen PhD students, including works on mobility decision systems, metropolitan data analytics, and serious gaming for urban participation. Active in professional networks such as the COST TU1408 Air Transport and Regional Development initiative.

Tyler HollettView profile

Associate Professor

• Interest-driven learning
• Learning in informal settings
• Digital media and learning
• +5 more

Dr. Tyler Hollett serves as an Associate Professor of Learning Sciences in the Department of Learning and Performance Systems at The Pennsylvania State University, contributing to the Learning, Design, and Technology program from 315 Keller Building, University Park, PA. His research champions interest-driven learning often devalued by formal institutions and neoliberal markets, investigating contexts like skateboarding, video gaming, and nature hobbies (fishing, birding). Hollett examines how passion-fueled activities generate embodied, affective learning that transcends goal-oriented education, advocating for equitable alternatives to capitalist learning trajectories. Current projects focus on intergenerational play through the FIGMENT Lab, exploring family gaming dynamics, climate engagement via outdoor hobbies, and evolving children's play across settings. Analysis of his recent publications reveals a methodological commitment to qualitative inquiry, with recurring themes of spatial-temporal rhythms, affective atmospheres, and embodied cognition. His work bridges learning sciences, critical pedagogy, and digital media studies, increasingly emphasizing intergenerational and ecological dimensions of informal learning. No scientific awards are listed in his current profile. However, Hollett actively mentors graduate students, inviting collaboration on FIGMENT Lab initiatives. His advising philosophy emphasizes rigorous scholarship within supportive, interest-driven research teams, with the FIGMENT Lab representing his current focus on family-centered learning in gaming, nature, and play contexts.

Jana BochertView profile

Professor

• Construction Informatics
• Construction Mechanics
• Fundamentals of Civil Engineering
• +4 more

Prof. Dr.-Ing. Jana Bochert is a faculty member at the Faculty of Sustainable Infrastructure at Technische Hochschule Ingolstadt , specializing in Construction Informatics , Construction Mechanics , and Foundations of Civil Engineering . She focuses on seismic analysis, soil-structure interaction, and structural dynamics, particularly for critical infrastructure like nuclear power plants. Email: Jana.Bochert@thi.de Phone: +49 841 9348-2393 Office: Room CN115 Research Interests Her research centers on: Seismic soil-structure interaction Wave propagation in soil under dynamic loads Development of computational methods for structural analysis Dynamic response of nuclear power plant foundations Impact of transportation and demolition on soil vibrations Finite element modeling of civil structures Publications & Research Trends Her work spans 2008–2021 , with a focus on: Seismic safety protocols for nuclear infrastructure Time-domain modeling of soil dynamics Comparison of simulation methods (2D vs 3D) Acoustic and vibration analysis in urban environments Integration of soil nonlinearities into structural design Dynamic load effects from trains and demolition

Scott L. NyklView profile

Professor

• Computer Vision
• Real Time 3D Computer Graphics
• Sensor Fusion
• +12 more

Dr. Scott L. Nykl is a Professor in the Department of Computer Science at the Air Force Institute of Technology (AFIT), part of the Graduate School of Engineering & Management. He is a leading researcher in computer vision, real-time 3D graphics, and autonomous aerial systems, with a focus on automated aerial refueling and navigation in GPS-denied environments. Education: Ph.D. in Computer Science, Ohio University (2008–2013), Summa Cum Laude, GPA: 4.0/4.0 M.S. in Computer Science, Ohio University (2011–2012), Summa Cum Laude, GPA: 4.0/4.0 B.S. in Software Engineering, University of Wisconsin–Platteville (2002–2006), Summa Cum Laude, GPA: 3.94/4.0 Dr. Nykl's research interests include computer vision, sensor fusion, interactive virtual worlds, and real-time 3D graphics, with applications in aerospace and defense. His work bridges simulation and real-world deployment, particularly in autonomous aerial refueling using stereo and monocular vision. He has pioneered techniques in pose estimation, occlusion mitigation, and sim-to-real transfer learning. His recent publications and projects show a strong trend toward robust, vision-based navigation systems for unmanned and manned aircraft, with emphasis on reliability, accuracy, and real-time performance. His work frequently appears in IEEE, AIAA, and ION venues, reflecting its high technical and operational relevance. Scientific Awards and Recognitions: 2024 Harold Brown Award – Highest U.S. Air Force scientific honor 2024 General Bernard A. Schreiver Award 2025 AETC Airmen of the Year Multiple Air Force Outstanding Scientist/Engineer Awards (2017–2023) Best Paper Award, ACM SIGGRAPH i3D 2013 Forbes' The Greatest Young Inventors in America (2012) NSF GK-12 Fellow (2006) Dr. Nykl has advised numerous graduate students and collaborated extensively on projects involving automated aerial refueling, 3D reconstruction, and cyber education. He has secured significant research funding, including a $100,000 Ohio Third Frontier grant. His work has led to multiple patents and technology transfers. He leads research integrating virtual worlds, digital twins, and augmented reality for both research and pedagogy. Laboratories and Research Teams: His work is conducted within AFIT’s research ecosystem, involving collaborations with the Air Force Research Laboratory (AFRL), Boeing, and academic partners. He leads projects under the Aerial Refueling Systems Advisory Group (ARSAG) and presents regularly at ION, AIAA, and IEEE conferences.