Prof. Ewa Szostak holds a professorial position at Wrocław University of Economics (UEW), serving as BIPS Program Coordinator. Her work focuses on EU policy analysis, regional development dynamics, innovation economics, and sustainable urban planning. Key research interests include Poland's EU integration trajectory, post-1989 educational reforms, energy transition strategies, and socio-economic challenges posed by aging populations. Her publications span topics such as territorial cohesion, smart specialization strategies, and the impact of migration on transportation networks. Notable works include analyses of Lower Silesia's regional infrastructure, smart city development challenges in Poland, and the decarbonization of inland navigation systems. Methodologically, her research combines policy evaluation with case studies examining institutional effectiveness and spatial planning. Laboratory/Team Affiliations: While specific lab names aren't listed, her role as a professor at UEW implies involvement in the university's economic policy research units. Her work frequently engages with EU-funded regional development projects and policy implementation frameworks.
Miriam Lorente Rodriguez is a Professor in the Department of Comparative Education at the Faculty of Philosophy and Educational Sciences, University of Valencia, Spain. She is an active researcher in the GRECIA Comparative Education Research Group, focusing on global citizenship, educational rights, and policy in Latin America and Central America. Research Interests: Her work spans Comparative Education , Global Citizenship Education , Education as a Human Right , Teacher Induction , and SDG4 (Quality Education) . She critically examines educational policies, digital transformation in higher education, and teacher professional development, particularly in Latin American contexts. Her recent publications (2021–2025) reflect a strong trend toward analyzing UNESCO’s global citizenship agenda, the impact of digital tools during the pandemic, teacher coordination roles, and educational equity in Latin America. These works demonstrate a consistent focus on policy critique, comparative methodologies, and sustainable development in education. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: While no formal list of advisees or grants is provided, she completed her PhD on children's rights and education in Central America under the supervision of Dr. Luis Miguel Lázaro Lorente. Her research suggests active involvement in academic mentoring and collaborative projects, particularly within the GRECIA group. Labs and Teams: She is a key member of the GRECIA Comparative Education Research Group , contributing to collective research on international and comparative educational policies, with a focus on Latin America and global frameworks.
Dewei Yi is a Senior Lecturer (Associate Professor) in the Department of Computing Science, School of Natural and Computing Sciences at the University of Aberdeen, UK. He holds a PhD from Loughborough University and is an active researcher in AI, computer vision, and intelligent systems. He serves as Director of the MSc AI and MSc Robotics and AI programmes. Research Interests: His research spans AI-enabled healthcare, medical image processing, intelligent vehicles, robotics, precision agriculture, remote sensing, and applied machine learning. He focuses on hybrid intelligent systems, personalised AI, federated learning, fairness, and explainability. Recent Publication Trends: His latest work includes medical image quality evaluation using contrastive learning, federated learning for diabetic retinopathy, UAV-based solar panel inspection, vascular image analysis, and emotion recognition from ECG data, reflecting a strong trend toward healthcare and intelligent systems with real-world impact. Scientific Awards: Fellow of the Higher Education Academy (FHEA) Outstanding Reviewer, Transportation Research Part C (TRC) Advising and Grants: Dr Yi supervises multiple PhD students in AI, computer vision, and machine learning. His graduated PhDs include Debinal Bakyavathi Rajan, Sami Hamid Al Sulaimani, and Adinath Abhimanyu Ghadage. He has secured significant funding as PI and Co-PI, including a £408K Smartawl 5.0 project and a £794K Cancer Research UK grant (Co-PI). Labs and Teams: He leads research in AI for healthcare and intelligent vehicles, collaborating with institutions like University of Warwick, Loughborough University, and industry partners such as AVL Powertrain Ltd. His work is supported by interdisciplinary teams focusing on embedded AI, medical applications, and sustainable technologies.
Ingvill Rasmussen is a Professor at the Department of Education, Faculty of Educational Sciences, University of Oslo (UiO), where she has been employed since 2010. Her academic profile demonstrates expertise in the intersection of digital technology and educational practices, with particular emphasis on classroom dialogue, collaborative learning, and microblogging applications in educational settings. She teaches courses including PED2103 (Development and learning), PED1001 (Learning and teaching), and specialized courses on digital interactions and learning sciences research in the digital age. Dr. Rasmussen's research examines how new technologies transform communication and learning processes. Her work investigates conversations, collaboration, and knowledge production between students and teachers, with special attention to internet and web-based environments. She explores how teachers can effectively guide students in digital learning environments and how students develop necessary self-regulation skills to manage attention across analog and digital activities. Her academic interests explicitly address how ubiquitous technology demands new skills in regulating attention – learning to disconnect, put away devices, and switch between analog and digital activities. Her publication record from 2018-2025 reveals a consistent research trajectory focused on microblogging as a tool for enhancing classroom dialogue. These works examine how digital tools create spaces for student voice, support collaborative meaning-making, and facilitate productive educational interactions across diverse subject areas. Her research shows increasing sophistication in analyzing the nuanced ways technology mediates educational dialogue. Reviewer for prominent international journals including International Journal of Learning, Culture and Social Interaction; International Journal for Educational Research; and British Journal of Educational Technology Library Board, UiO (2014-2022) Employee representative, Department Board (2016-2020) Co-chair and organizer of the Nordic ISCAR conference (2007) Dr. Rasmussen completed her PhD at UiO (2000-2005) on 'Project work and ICT - studying learning as participation trajectories,' followed by postdoctoral work on the TWEAK project (2006-2010). She is currently involved in multiple research projects including AI-supported science conversations, EU Kids Online V (EUKO), and the Samtavla innovation project as a key member of the Living and Learning in the Digital Age (LiDA) research group.
Professor Jonna Kuntsi is a leading researcher in developmental disorders and neuropsychiatry at King's College London's Institute of Psychiatry, Psychology & Neuroscience, where she holds a professorship in the Social, Genetic & Developmental Psychiatry Centre. With extensive training including BSc, MSc, and PhD from University College London and clinical experience at Great Ormond Street Hospital for Children, she has established herself as a prominent figure in ADHD research globally. Her research primarily focuses on attention deficit hyperactivity disorder (ADHD) and related conditions, with particular expertise in neurodevelopmental disorders, remote measurement technology applications, developmental trajectories, preterm birth associations, and the effects of physical activity on cognition and ADHD symptoms. Professor Kuntsi has pioneered the ADHD Remote Technology (ART) research programme, securing substantial funding including £4 million from the UK Medical Research Council and European Commission for innovative projects like ART-transition and ART-CARMA. Her publication record demonstrates consistent high-impact research across multiple domains of ADHD investigation, with recent work emphasizing digital phenotyping, remote monitoring technologies, and the developmental aspects of ADHD across the lifespan. This research portfolio shows a clear trajectory toward increasingly sophisticated technological approaches to understanding and managing ADHD. Co-Chair of EUNETHYDIS - the European Network for ADHD Member of the European ADHD Guideline Group (EAGG) Principal Investigator in International Multi-centre Persistent ADHD Collaboration (IMpACT) Steering committee member of ECNP ADHD across the Lifespan Network Steering committee member of ECNP Digital Health Applied to Clinical Research Network Professor Kuntsi actively collaborates with patient support organizations including ADHD Europe and the UK ADHD Information and Support Service (ADDISS), and with technology companies like Empatica and The Hyve. She serves as Chair of the PhD Subcommittee across Departments of Social, Genetic & Developmental Psychiatry and Biostatistics & Health Informatics, demonstrating her commitment to mentoring the next generation of researchers while leading multiple international research networks that advance both scientific understanding and clinical practice in ADHD.
Patricia Arean, PhD is a Professor in the Department of Psychiatry at the University of California, San Francisco (UCSF) School of Medicine, with affiliations at the UCSF Weill Institute for Neurosciences. Her research focuses on digital mental health interventions, particularly for depression treatment in older adults. Dr. Arean's research interests include: Digital mental health applications and their effectiveness Late-life depression and geriatric psychiatry Mobile health technology for mental health care Psychotherapy adaptation for older adults Implementation of evidence-based mental health practices Her recent publications demonstrate a strong focus on digital mental health interventions, particularly examining the effectiveness of mobile applications and message-based therapies for depression treatment. Her work often addresses specific populations including older adults, essential workers, and Hispanic and Latino communities. Dr. Arean's research has increasingly focused on real-world implementation of digital mental health tools, particularly during the COVID-19 pandemic, with significant contributions to establishing standards for smartphone applications in mental health care. Dr. Arean has received numerous NIH grants as Principal Investigator, including: Enhancing Engagement with Digital Mental Health Care (R01MH125179) Using Search Engine Data for Detection and Early Intervention in Suicide Prevention (R01MH123484) UW ALACRITY Center for Psychosocial Interventions Research (P50MH115837) Strategic and Plasticity Interventions for Late Life Depression in Community Settings (K24MH074717) She has made significant contributions to the field through her development of "Engage" therapy, a behavioral activation approach for late-life depression, and has been instrumental in shaping policy discussions around value-based insurance design for mental health services.
Mikael Rinne serves as Associate Professor in Rock Mechanics within the Department of Civil Engineering at Aalto University, Finland. Holding a Doctor of Science in Technology (D.Sc. Tech.), he brings extensive industry experience from Finnish and Swedish consulting firms (1988-2008) where he specialized in rock engineering and project management for tunneling and geological disposal of radioactive waste. His research focuses on rock and fracture mechanics with direct applications to rock engineering, mining, and tunneling. Current investigations center on digital characterization methods including photogrammetry, videogrammetry, and virtual reality systems for both practical engineering solutions and educational advancement. His work addresses critical challenges in fracture hydro-mechanics, rock mass characterization, and sustainable mining practices. Analysis of his 15 most recent publications (2023-2025) reveals a strong emphasis on digital transformation in rock mechanics. Key trends include non-contact surveying techniques for rock mass characterization, scale effects in fracture properties, and virtual learning environments for engineering education. His research bridges theoretical modeling with field applications in tunneling, mining, and radioactive waste disposal, demonstrating consistent innovation in measurement technologies and computational methods. No scientific awards were mentioned in the source materials. While specific advising details and grant information were not provided, his leadership of the Mineral-based materials and mechanics research group indicates active supervision of graduate students and management of research projects. His industry background suggests strong connections with tunneling and mining sectors for applied research collaboration. He directs the Mineral-based materials and mechanics research group at Aalto University, which develops advanced methodologies for rock characterization and engineering applications. Current initiatives integrate digital tools like smartphone LiDAR, 360-degree cameras, and virtual reality systems to enhance both field practices and educational outcomes in rock engineering.
Alessandro Battaglia is an Associate Professor at the Department of Environmental, Land and Infrastructure Engineering (DIATI) at the Polytechnic University of Turin. He specializes in microwave remote sensing of clouds and precipitation, with expertise in Doppler radar, cloud and snow microphysics, and microwave radiometer technology. His research spans atmospheric physics, meteorology, and climate science with applications in Earth observation from space. Dr. Battaglia's research interests focus on remote sensing of atmospheric phenomena, particularly using advanced radar technologies. His work encompasses cloud microphysics, precipitation measurement, and wind observation from space. He is particularly known for his contributions to the development of spaceborne Doppler radar systems for measuring in-cloud winds, which represents a significant advancement in atmospheric observation capabilities. His research bridges engineering, physics, and meteorology to improve our understanding of Earth's atmospheric processes and climate systems. His recent publications demonstrate a strong focus on the WIVERN (Wind Velocity Radar Nephoscope) mission, with research spanning cloud microphysics, snowfall measurement, wind field reconstruction, and innovative radar signal processing techniques. These works highlight the interdisciplinary nature of his research, connecting atmospheric science, engineering, and computational methods to advance space-based Earth observation capabilities. NASA Group Achievement Award (2015) Fellow of the National Center for Earth Observation, UK (2014-present) Dr. Battaglia actively mentors several PhD students including Marco Coppola, Francesco Manconi, Riccardo Rabino, Susmitha Sasikumar, Aida Galfione, and Paolo Martire across Civil and Environmental Engineering and Aerospace Engineering programs. He serves as Principal Investigator for multiple research projects funded by ESA (3 projects), UK-NERC (1 project), UK-NCEO (1 project), and the US Department of Energy (1 project). His current research focuses on the WIVERN mission, EarthCARE mission, and NASA's INCUS mission, with particular emphasis on developing algorithms for spaceborne Doppler radar systems. He leads research teams working on cutting-edge remote sensing technologies for atmospheric observation, with particular focus on developing the next generation of spaceborne instruments capable of measuring in-cloud winds—a capability that has been missing from Earth observation systems until now.
R. Jayakrishnan , a Professor in the Department of Civil and Environmental Engineering at the Samueli School of Engineering , University of California, Irvine, is a leading researcher in transportation systems engineering. Ph.D., University of Texas, Austin, Civil Engineering, 1992 M.S., University of Texas, Austin, Civil Engineering, 1987 B.S., Indian Institute of Technology, Madras, India, 1985 His research focuses on dynamic traffic assignment , urban traffic simulation , and real-time information systems to improve congested traffic corridors. He is developing advanced dynamic simulation-assignment models for urban traffic networks. Recent publications highlight his contributions to: Crowdsourced delivery optimization using decomposition heuristics Eco-driving algorithms with V2I communication Multi-furniture placement applications via augmented reality Subscription mobility services cost-benefit analysis Agent-based lane-changing coordination systems These works demonstrate his interdisciplinary approach combining transportation engineering, optimization algorithms, and emerging technologies like AR and connected vehicles.
Felix Gille is a researcher at the University of Zurich , affiliated with the Institute for Implementation Science in Health Care under the Faculty of Medicine. He leads the DSI-funded project "Data handling, security and protection: reaching conceptual equivalence for the concept of public trust in national electronic health records in Switzerland and neighboring countries," collaborating with Prof. von Wyl (IfIS/DSI, UZH) and Prof. Thouvenin (Faculty of Law, UZH). His work bridges health system and policy research, digital health, data law, and data security. Education: BSc in European Public Health, Maastricht University MMedSc in Health Economics, Policy and Management, Karolinska Institute PhD in Public Trust in Healthcare Systems, London School of Hygiene and Tropical Medicine Research Focus: Gille specializes in public trust dynamics within healthcare systems, particularly examining data governance, health policy, and ethical dimensions of digital health innovations. His projects analyze cross-national trust frameworks, biobanking ethics, AI in healthcare, and pandemic data sharing mechanisms. Scientific Contributions: His publications address critical issues such as GDPR impacts on research, trustworthiness of mHealth apps, and interdisciplinary approaches to health data policy. Articles span 2015–2025, emphasizing conceptual trust models, policy harmonization, and stakeholder engagement in health data systems. Awards & Roles: Fellow of the Swiss School of Public Health Associate Editor for Public Health Reviews
Ayman Habib is the Thomas A. Page Professor of Civil Engineering at Purdue University's College of Engineering. He serves as Co-Director of the Civil Engineering Center for Applications of UAS for a Sustainable Environment (CE-CAUSE) and Associate Director of the Joint Transportation Research Program. His work focuses on integrating remote sensing technologies like LiDAR and UAV systems into infrastructure monitoring, environmental management, and transportation engineering. Key areas include sensor calibration, mobile mapping systems, and applications in forest inventory, pavement maintenance, and stockpile monitoring. Research interests span remote sensing, geomatics, and UAV-based solutions for civil engineering challenges. He actively develops methodologies for automated data processing, LiDAR intensity normalization, and machine learning-driven infrastructure assessment. His projects address sustainability through precise environmental and transportation systems analysis. Selected publications highlight advancements in LiDAR-based road cracking detection, forest reconstruction via neural networks, and UAV calibration for agricultural and environmental applications. His work emphasizes scalable solutions for infrastructure maintenance and environmental monitoring, leveraging interdisciplinary approaches in civil engineering and computer science.
Edward Delp is the Charles William Harrison Distinguished Professor of Electrical and Computer Engineering at Purdue University's College of Engineering. He holds affiliations with both the Department of Electrical and Computer Engineering and the Department of Biomedical Engineering. His research spans computer vision, medical imaging, and data forensics with a focus on synthetic media detection, deep learning applications, and healthcare technologies. Education: Not explicitly listed in the provided text. His work includes developing algorithms for speech forensics, microscopy image analysis, and food/nutrition assessment systems. He leads projects on synthetic speech detection, medical image segmentation, and automated crop disease measurement using RGB imaging. Delp collaborates across disciplines, integrating machine learning with healthcare and agricultural challenges. Recent work emphasizes ethical AI through fairness in synthetic media detection and explainable artifacts in biomedical imaging. He contributes to large-scale datasets like MetaFood3D and 3D nuclear segmentation frameworks for microscopy analysis. His grants and advising focus on interdisciplinary applications, though specific grant details are not provided. Delp is affiliated with the Purdue School of Biomedical Engineering and maintains active collaborations in medical imaging, computer vision, and aerospace anomaly detection.
Roles and Affiliations: Assistant Professor of Computer Science and Data Science at Brown University. Affiliated with Brown's Data Science Institute and Science, Technology and Society program. Holds affiliations with Harvard's Berkman Klein Center for Internet & Society and Petrie-Flom Center for Health Law Policy. Education: PhD (2023), MS (2021) in Computer Science from Cornell University. Postdoctoral training at Harvard (2023-2024) in internet law and computation research. Earlier degrees include an MPS from NYU (2015), MA from Columbia (2005), and BA from NYU (2002). Research Focus: Specializes in digital safety, cybersecurity for vulnerable populations, and sociotechnical systems. Key areas include technology-facilitated abuse prevention, youth digital literacy, and ethical AI design. Explores intersections of technology with healthcare, privacy, and legal systems. Key Contributions: Published 12 peer-reviewed articles on IPV tech interventions, youth digital safety, and mHealth apps. Recent work addresses AgeTech misuse and asylum seeker digital tools. Teaches Accessible and Inclusive Cybersecurity and Privacy . Awards: 2023 CHI Reviewer Recognition, 2018 ACM CHI Best Paper Award, and 2017 ACM CSCW Diversity Award. Recipient of Meta's prestigious PhD fellowship (Top 1.8%). Grants & Labs: Collaborates on projects involving clinical security protocols, VR safety, and digital health equity. Engages with interdisciplinary teams across computer science, law, and public health sectors.
Dr. Sudeep Hegde is an Assistant Professor in the Department of Industrial Engineering at Clemson University, where he also serves as a Faculty Scholar in the Clemson University School of Health Sciences Research (CUSHR). His research focuses on proactive organizational learning, human-AI collaboration, and remote physiological monitoring, with applications in healthcare, education, and transportation. He holds a Ph.D. in Industrial and Systems Engineering from the University of Buffalo (2015), an M.S. from the University at Buffalo (2010), and a B.S./M.S. from Ramaiah Institute of Technology in India (2007). His professional experience includes roles at Texas A&M University, the State University of New York at Buffalo, and Harvard Medical School. Hegde’s work emphasizes resilience engineering, cognitive systems, and applied ergonomics. Notable research contributions include studies on organizational adaptive capacity during crises, healthcare workflow optimization, and leveraging AI for healthcare decision-making. He teaches courses such as Human Factors Engineering and Cognitive Systems and Resilience Engineering. Key research thrusts include: Proactive organizational learning frameworks Human-AI teaming for large-scale learning Remote physiological monitoring in high-stress environments Resilience in healthcare systems and emergency response Past grants and collaborations include studies on pandemic response strategies, ED physician workloads, and biofeedback applications for mental health. His interdisciplinary approach bridges systems engineering, human factors, and healthcare innovation.
Lindsay McHenry is Professor and Department Chair of Geosciences at the University of Wisconsin-Milwaukee. She holds a Ph.D. from Rutgers University, an M.S. from Dartmouth College, and a B.S. from Dartmouth College. Her research focuses on using volcanic ash composition to correlate archaeological sites in East Africa and identifying terrestrial analogues for Martian surface minerals. Her research interests include tephrostratigraphy for human evolution studies, Mars geology analogs, sulfate mineral formation processes, and paleolimnology of saline-alkaline systems. Recent publications demonstrate strong focus on Martian analog studies using terrestrial environments (Iceland, East African lakes), mineral mapping with remote sensing/ML techniques, and paleolake reconstruction. Work increasingly incorporates drone technology and machine learning for planetary exploration applications.
