Dr. Hilde Kuehne is a Professor at the University of Tuebingen and a key researcher at the Tuebingen AI Center. She holds affiliations with MIT-IBM Watson AI Lab and Goethe University Frankfurt, with a focus on computer vision, multimodal learning, and explainable AI. Her work bridges vision-language models, audio-visual alignment, and self-supervised methods. Co-organizer of the New Frontiers in Associative Memories workshop @ ICLR 2025 Member of the Scientific Advisory Board of the Carl-Zeiss-Foundation Contributor to CVPR 2025's UTD dataset for unbiased video benchmarks Her research addresses critical challenges in: Explainability for Vision Transformers (LeGrad) Fine-grained audio-visual alignment (CAV-MAE Sync) Zero-shot visual recognition automation (Meta-Prompting) Spatio-temporal grounding without annotations Recent collaborative work spans 15+ publications across CVPR, NeurIPS, ICCV, and ICLR, with emphasis on multimodal foundation models, dataset bias mitigation, and differentiable logic networks. She actively contributes to workshop organization and peer review as evidenced by her involvement in CVPR 2025 and ICLR 2025 program committees.
Marita Dale is a Senior Lecturer in the Discipline of Physiotherapy at the University of Sydney and an Early Career Researcher affiliated with the Charles Perkins Centre. She specializes in cardiorespiratory physiotherapy, focusing on exercise interventions for chronic respiratory and cardiac diseases, particularly asbestos-related and dust-related conditions. Her work emphasizes improving accessibility to pulmonary rehabilitation services and leveraging mHealth technologies for patient care. Education: PhD in Physiotherapy (2016, University of Sydney). Her research interests include optimizing pulmonary rehabilitation through mobile health platforms, such as the m-PR™ app, and investigating pediatric burn injury rehabilitation, including orthosis use and scar prevention. She also explores multimorbidity management and simulation-based learning in healthcare education. Recent studies have highlighted her contributions to COPD care protocols, telehealth implementation during the pandemic, and qualitative analyses of patient experiences. Major awards: Sydney School of Health Sciences Teaching Citation (2022), Ashurst Prize for Outstanding Oral Presentation (2015), Helga Pettitt FHS Postgraduate Study Award (2010). Marita supervises Honours, Masters, and PhD students, including Mitchell Taylor on airway clearance in bronchiectasis. Her teaching spans undergraduate and postgraduate programs in cardiopulmonary and musculoskeletal physiotherapy. She collaborates on projects like the Lung Support Service, a nationwide text message program for chronic respiratory patients during the pandemic, and contributed to the commercialization of the Perx-R app for pulmonary rehab. Labs/teams: Active member of the Charles Perkins Centre, focusing on interdisciplinary chronic disease research and healthcare innovation.
Associate Professor Ken Chung is affiliated with the University of Sydney's School of Project Management, serving as Associate Head of Education. He holds a PhD (University of Sydney) and dual undergraduate degrees (B.Sc (Hons I), B.Com). His research focuses on social network theory applied to stakeholder engagement in projects, healthcare coordination, and complex systems. Notable awards include the 2021 Faculty of Engineering Dean's Award for Excellence in Teaching and a PMI grant for infrastructure stakeholder engagement research. He has collaborated with organizations like NSW Department of Planning, Google, and Western Sydney Airport. Teaching includes courses like ENGG1850 and PMGT5871. Current projects explore stakeholder analysis, community engagement in infrastructure, and healthcare networks. His expertise spans 20+ years, with international partnerships at Webster Vienna and University of Southern Denmark. Professional activities include editorial roles, ARC grant reviewing, and industry advisory roles. Education highlights: PhD in Information Technologies (2009, Sydney), prior lectureship at University of Wollongong. Industry experience includes Telstra Messaging Group and DoubleClick Australia. Research integrates social physics principles, examining network structures' impact on project success, healthcare outcomes, and organizational behavior. Grants include ARC DP-funded health research and PMI-funded infrastructure studies. Key themes include network-based models for stakeholder engagement, project management innovation, and social capital utilization.
Dr. Kathryn A. Burnett is a Senior Lecturer in the Division of Arts and Media at the University of the West of Scotland, based in the School of Business and Creative Industries. She is actively involved in supervising PhD students and contributes to research areas including rural sociology, cultural heritage, and climate adaptation. Her work aligns with UN Sustainable Development Goals related to sustainable communities and environmental stewardship. Education: (Details not explicitly provided in text, but her extensive academic output suggests a PhD in related fields.) Research Interests: Dr. Burnett’s expertise spans Scottish culture, remote rural communities, island studies, and the creative industries. Her work emphasizes cultural work, resilience in marginalized regions, and the intersection of media, narrative, and place. She explores themes such as Gaelic heritage, climate adaptation strategies, and the socio-economic dynamics of small island communities. Recent Research Trends: Her publications highlight interdisciplinary approaches to rural regeneration, climate adaptation through participatory methods, and the mediatization of island spaces. Recent work includes studies on Arctic art education, coastal community resilience, and sustainable enterprise in remote areas. Awards: SFHEA (2021) Best Paper Award, Rural Enterprise ISBE, Cardiff (2013) Winner of Best Paper Rural Enterprise ISBE (2014) Grants & Advisory Roles: She has held external examiner roles at institutions like the University of Highlands and Islands and has been a Board Member of The Reid Foundation. Her activities include organizing conferences, hosting academic visitors, and contributing to national and international research networks. Labs/Teams: Collaborations include projects with the University of Lapland (e.g., Nurture: Living in the Landscape) and cross-border initiatives on Arctic studies and climate adaptation. She frequently engages in interdisciplinary research with environmental scientists and sociologists.
Heather A. Jones, Ph.D., serves as Associate Professor in the Department of Psychology within Virginia Commonwealth University's College of Humanities and Sciences, holding joint appointments with the Department of African American Studies, Department of Pediatrics, and Institute for Women's Health. As a licensed clinical psychologist in Virginia, she maintains an active research program focused on reducing mental health disparities through culturally responsive interventions. Ph.D. in Psychology, University of Maryland at College Park (2006) Dr. Jones' research centers on three interconnected pillars: Black children and families' mental health, maternal mental health across the perinatal spectrum, and training culturally competent clinical psychologists. Her work specifically examines ADHD manifestations in Black youth, impacts of racial discrimination on adolescent mental health, and integration of behavioral health services within primary care settings. She employs mixed-methods approaches to address systemic barriers in mental healthcare access for underserved communities. Analysis of her 2023-2025 publications reveals consistent emphasis on health equity through studies of cultural competence in cancer survivorship, ADHD treatment representation gaps, and digital interventions for perinatal depression. Her methodological approaches span latent class analyses of service utilization, content analyses of historical research biases, and clinical trials of integrated care models, all contextualized within structural determinants of health. Dr. Jones has received significant recognition for her contributions: VCU College of Humanities and Sciences Distinguished Teaching Award (2023) VCU Department of Psychology Outstanding Mentoring Award (2023) Elizabeth Fries Young Investigator Award (2016) Clinical and Translational Research Award (2016) She actively mentors students, particularly supporting Black graduate trainees in pediatric psychology as evidenced by numerous student co-authorships. As Principal Investigator, she directs the $1.4M HRSA-funded Primary Care Psychology Training Collaborative providing pro bono services to urban Richmond and rural Virginia communities, recently expanded through an additional $1.1M grant serving Latinx immigrants and refugees. Her federally funded work consistently bridges research, clinical service, and community engagement. Dr. Jones co-directs the Families and Mental Health Research Lab and Primary Care Psychology Training Collaborative, leading interdisciplinary teams comprising psychology graduate students, pediatric residents, and community health workers. These initiatives operate within VCU's integrated primary care clinics, focusing on implementation science to scale evidence-based practices for underserved populations while training the next generation of healthcare providers.
Kareem Ahmed is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF) and a faculty member of the Center for Advanced Turbomachinery and Energy Research. He leads research in advanced propulsion and energy systems, focusing on high-speed turbulent combustion, detonations, and hypersonic technologies. His work includes groundbreaking projects in detonation-based propulsion for hypersonic flight and power generation, supported by over $17 million in grants from NASA, AFOSR, and DOE. Education: Ph.D. and M.S. in Mechanical Engineering, University at Buffalo (SUNY) B.S. in Mechanical Engineering, New York State College of Ceramics at Alfred University Research Interests: Ahmed’s expertise spans detonation dynamics, supersonic reacting flows, flow-flame control, and advanced laser diagnostics . His team explores innovations like rotating detonation engines (RDEs) and scramjet combustion systems, with applications in aerospace defense and space exploration. Awards and Recognition: AIAA Associate Fellow American Chemical Society Doctoral New Investigator Award AFOSR Summer Faculty Fellowship UCF Trustee Chair (2025–2030) Grants & Advising: PI of over $17M in research funding; mentors 145+ doctoral, master’s, and undergraduate students. Collaborates with industry leaders like GE, Aerojet Rocketdyne, and Pratt & Whitney. Labs & Teams: Director of UCF’s Center of Excellence in Hypersonic and Space Propulsion, advancing technologies for 15-minute transcontinental flight and clean rocket fuels.
Anja Boisen is a Professor and Head of the Drug Delivery and Sensing Section at the Department of Health Technology, Technical University of Denmark (DTU). Her research focuses on advanced drug delivery systems, sensing technologies, and nanotechnology applications in biomedical engineering. She leads a multidisciplinary team developing innovative devices such as microcontainers, microneedles, and lab-on-a-disc platforms for targeted drug delivery and diagnostics. Her work contributes to UN Sustainable Development Goals, particularly in improving health and reducing inequalities. Key research areas include surface-enhanced Raman spectroscopy (SERS), microfabrication for medical devices, and biomaterials for tissue engineering. She has supervised multiple PhD students, including projects on oral drug delivery systems, gastrointestinal retention devices, and energy-harvesting materials for biomedical applications. Boisen’s team has pioneered technologies like self-unfolding foils for oral delivery and smart drug delivery microparticles. Their innovations aim to enhance therapeutic efficacy while minimizing side effects. She has been recognized with the Sensor Division Outstanding Achievement Award (2022) for her contributions to sensor technology. Her lab actively collaborates internationally, advancing applications in cancer therapy, antibiotic monitoring, and gut microbiota research. Current projects explore high-throughput 3D tumor modeling, SERS-based diagnostics, and biodegradable materials for bone fixation.
Rosemary Monahan is a Professor in the Department of Computer Science at Maynooth University and an affiliate of the Hamilton Institute. She holds BSc and MSc degrees from University College Dublin and a PhD from Dublin City University. As Maynooth University's institutional lead for ADAPT (SFI Research Centre for AI-Driven Digital Content Technology), she focuses on advancing software dependability through formal methods and AI integration. Her research interests include safety-critical systems, dependable software, formal verification, and computational thinking education. She co-founded the VerifyThis competition series and leads projects such as MAIVV (Modular AI Verification and Visualisation) funded by SFI, and VALU3S (Verification and Validation of Automated Systems) funded by Horizon 2020. She has secured over €2.5M in EU funding for the Erasmus Mundus programs in dependable software systems. Monahan’s educational contributions include pioneering computational thinking resources (CoCoA and InSPECT projects) and teaching modules on software verification and rigorous software processes. She supervises PhD students in data science and advanced networks and collaborates with institutions like INRIA, Microsoft Research, and Amazon Web Services. Her professional roles include editorships in journals like Science of Computer Programming and leadership in conferences like iFM and FMICS. She actively promotes gender equality in computing through initiatives like INGENIC and TechMate toolkits.
Robert Östling is a Professor of Economics at the Stockholm School of Economics (SSE), affiliated with the Department of Economics and the Karl-Adam Bonnier Center for Governance within the House of Governance and Public Policy. He holds a PhD from SSE (2008) and previously worked at Stockholm University's Institute for International Economic Studies until 2018. His research focuses on applied microeconomics and behavioral economics, particularly examining how wealth impacts attitudes, behavior, and life outcomes using Swedish lottery data. He teaches econometrics, behavioral economics, and economics for MBA students, and serves as program director for SSE's MSc in Economics. Key roles include board membership of the Swedish Economics Association and the Expert Group on Public Economics (ESO), and membership in the scientific advisory board of the Swedish Consumer Protection Agency. He co-founded the popular economics blog Ekonomistas , recognized as 'Swede of the Year' in 2017. Awards include the Assar Lindbeck Medal (2021) and the Arnberg Prize (2009). His research spans wealth effects on labor supply, health, child development, and political behavior. Notable projects include studying lottery winners' long-term well-being and portfolio decisions. Teaching innovations include using animated GIFs for econometrics instruction. He has contributed to policy debates on economic reforms, consumer protection, and pandemic responses. Outreach activities include public writing and policy advisory roles. His research has been featured in outlets like the New York Times and Swedish media. He remains active in academic networks, including the Network for Evidence-Based Policy.
Toni Kotnik is an Associate Professor in the Department of Architecture at Aalto University, Finland. He holds dual expertise in mathematics and architecture, with a Ph.D. from the University of Zurich and a second degree in architecture. His roles include principal of d’HKL , a Zurich-based experimental architecture firm, and adjunct lecturer at institutions like Harvard University and the Bartlett School of Architecture. His research focuses on integrating science, engineering, and computation into architectural design, emphasizing structural innovation and sustainability. Education: Ph.D. in Mathematics (Dr. sc. Nat.), University of Zurich, 1999 Second degree in Architecture Research Interests: Computational design and generative systems Structural aesthetics and neuroaesthetics Sustainable urban and architectural solutions Parametric modeling and material systems Key Contributions: Advances in graphic statics and form-finding Design strategies for high-density urban environments Integration of AI and generative tools in architectural practice Recent Work Trends: Recent articles emphasize computational methods for industrial layout optimization, AI’s role in architecture, and embodied perception in structural design. His work bridges theoretical research with practical applications, such as the Singapore Hawker Centre redesign and experimental structures like hypar-combined shells. Awards: Aalto University Doctoral Thesis Awards (2022) Best Presentation Award (2019) Oscari-Vilamo Award (2023) Advising & Grants: Supervised 4 theses, including recipients of awards like the Metex Award shortlist. Active in international academic networks, serving on conference committees (e.g., International Association for Shell and Spatial Structures) and editorial roles (e.g., Automation in Construction journal). Labs & Teams: Leads the d’HKL studio, collaborating globally on projects like the AA/ETH Pavilion and the Hypercube for Gardens by the Bay. Research focuses on experimental design and material systems.
Hua Jiang is a Researcher at Aalto University, affiliated with the OtaNano research center and the Department of NanoMaterials. Their work focuses on nanomaterials, catalysis, and energy-related applications, with particular expertise in carbon nanotubes, electrocatalysts, and battery materials. Jiang holds a Doctoral degree in Natural Sciences from the Chinese Academy of Sciences (1998), complemented by a Master's (Beijing University of Technology, 1991) and Bachelor's (Anhui Normal University, 1988) in Natural Sciences. Research interests span nanotechnology innovations in energy storage (e.g., lithium-ion batteries), electrocatalytic processes (e.g., hydrogen evolution reaction), and advanced materials synthesis. Recent studies highlight advancements in carbon nanotube patterning for flexible electronics, MXene-based oxygen evolution catalysts, and CO₂ hydrogenation catalyst design. Over 260 publications and 13 documented activities reflect a collaborative global network. Key contributions include optimizing catalysts for CO₂ conversion, stabilizing battery cathodes, and developing scalable nanotube synthesis techniques. Media highlights include breakthroughs in carbon nanotube electronics and MXene heterostructures. Collaborations span institutions worldwide, with visiting research stints and academic hosting initiatives further enriching their interdisciplinary approach.
Xu Jinchao is a Professor of Applied Mathematics and Computational Sciences at King Abdullah University of Science and Technology (KAUST) and the Verne M. Willaman Professor of Mathematics at Penn State University. He has held distinguished roles, including Director of the Center for Computational Mathematics and Applications at Penn State since 1997 and is an Affiliated Faculty member of the College of Information Sciences and Technology at Penn State. His research focuses on numerical partial differential equations (PDEs), multigrid methods, machine learning, finite element methods, and domain decomposition methods. He is renowned for pioneering contributions such as the Bramble-Pasciak-Xu (BPX) preconditioner, Hiptmair-Xu (HX) preconditioner, Xu-Zikatanov (XZ) identity, and Morley-Wang-Xu (MWX) element. His work bridges computational mathematics and machine learning, including the development of MgNet, which unifies multigrid methods with convolutional neural networks. Xu has been recognized with numerous awards, including Fellowships from SIAM, AMS, AAAS, and the European Academy of Sciences. Notable accolades include the 2008 DOE Top 10 Breakthroughs for his HX preconditioner and the 1995 Feng Kang Prize for Scientific Computing. He has organized over 100 conferences and serves on editorial boards of top journals such as Mathematics of Computations and Numerische Mathematik . His leadership includes directing research centers and advancing computational science through collaborative efforts.
Dr. Muhammad Rashed is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington, within the College of Engineering. He holds a Ph.D. in Computer Engineering from the University of Central Florida (2024) and a B.S. in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology (2015). Ph.D. : Computer Engineering, University of Central Florida, 2024 B.S. : Electrical and Electronics Engineering, Bangladesh University of Engineering and Technology, 2015 His research focuses on electronic design automation (EDA), in-memory computing, AI acceleration, and sustainable computing. He explores novel computing paradigms to overcome the limitations of traditional architectures, particularly in data-intensive applications such as AI and scientific computing. His work emphasizes hardware-software co-design and leveraging emerging non-volatile memories for energy-efficient processing. The 15 most recent publications highlight a consistent focus on in-memory computing, particularly in path-based and flow-based architectures, logic synthesis, and AI acceleration. Key themes include optimization, fault tolerance, verification, and the use of advanced data structures like sentential decision diagrams. His work is published in top-tier venues such as DAC, ICCAD, ASP-DAC, and IEEE/ACM journals. Scientific Awards: UTA CARES Grant for OER Creation Research Experiences for Undergraduates (REU) Grant Alireza Seyedi Doctoral Research Innovation Endowed Scholarship David T. & Jane M. Donaldson Memorial Scholarship IEEE/ACM William J. McCalla ICCAD Best Paper Award Nomination Best Research Video Award, Design Automation Conference (DAC) Dr. Rashed advises several graduate and undergraduate students in the NextGen Computing Lab and is involved in research grants including the UTA CARES Grant and REU funding. He actively contributes to academic service through roles such as conference TPC member, journal reviewer (e.g., IEEE TCAD, ACM TODAES), and committee participation in the department and college. His lab, the NextGen Computing Lab, is dedicated to building scalable, energy-efficient computing systems for next-generation AI and scientific workloads, aligning with national initiatives in advanced computing.
Professor Stefan Goedecker is a distinguished faculty member in the Department of Physics at the University of Basel, Faculty of Science. He holds the position of Professor of Computational Physics and leads an active research group focused on developing advanced computational methods for materials science and quantum physics. Dr. Goedecker received his physics education at the Technical University Munich and the College of William and Mary, followed by a Ph.D. from EPFL Lausanne. His postdoctoral training included positions at Cornell University and the Max-Planck Institute in Stuttgart. In 2003, he was appointed Professor of Computational Physics at the University of Basel, where he has established himself as a leading researcher in computational methods development. His research interests center on computational physics with emphasis on electronic structure calculations, atomistic simulations, and the development of novel algorithms for materials science applications. His work has strong interdisciplinary connections spanning physics, mathematics, material sciences, chemistry, and computer science. Current research directions include machine learning applications in catalysis, fourth-generation neural network potentials for molecular chemistry, and methods for quantifying material synthesizability. Analysis of his recent publications reveals a strong focus on advancing computational methods for electronic structure calculations, with particular emphasis on machine learning potentials, molecular dynamics optimization, and accurate modeling of material properties. His work bridges theoretical physics with practical applications in materials science and nanotechnology, with increasing integration of artificial intelligence techniques into traditional computational physics frameworks. Machine learning for Catalysis (Ongoing) Fourth-Generation Neural Network Potentials for Molecular Chemistry (Completed) Towards Quantifying the Synthesizability of Materials (Completed) Professor Goedecker's research group operates within the Department of Physics at the University of Basel, which is part of the NCCR SPIN initiative focused on silicon-based quantum computing development. The department hosts over 20 research groups with more than 180 teaching staff members, creating a vibrant research environment for computational physics and quantum technologies.
Dr. Saad Khan is a Senior Lecturer in Cyber Security at the Department of Computer Science, School of Computing and Engineering, University of Huddersfield, United Kingdom. He is an active researcher and educator, supervising multiple PhD students and contributing to government-funded cybersecurity projects with Innovate UK, DCMS, and DASA. He is also a Fellow of the Higher Education Academy and serves on program committees for major conferences. His research focuses on intelligent systems for cyber security and digital forensics. Key areas include Security Information and Event Management (SIEM), access control, authentication, vulnerability assessment, anomaly detection, and image forensics. He aims to develop automated software tools that enhance digital infrastructure resilience against modern cyber threats. The recent publications reflect a strong trend in applying machine learning and AI to cybersecurity challenges, particularly in IoT security, zero-day attack detection, and human-centric security awareness. His work bridges technical innovation with practical implementation in real-world environments. Scientific Awards: Fellow of the Higher Education Academy Dr. Khan actively supervises PhD students and contributes to research grants through collaborations with UK government agencies. He has led work in three major funded projects and regularly reviews for top-tier journals and conferences. He is a member of the Centre for Cybersecurity at the University of Huddersfield, where he collaborates on interdisciplinary research initiatives focused on secure digital transformation and intelligent defense systems.
