Professor Goran Mashanovich is a leading academic in silicon photonics at the University of Southampton's Optoelectronics Research Centre (ORC) , Faculty of Engineering and Physical Sciences. With a Dipl. Ing. and MSc from the University of Belgrade and a PhD from the University of Surrey, he serves as head of the ORC's Mid-IR silicon photonics group. His expertise spans passive and active photonic devices in silicon and germanium for communication and sensing systems. Education: Dipl. Ing. in Optoelectronics, University of Belgrade MSc in Optoelectronics, University of Belgrade PhD in Silicon Photonics, University of Surrey MSc in Innovative Teaching, University of Surrey His research focuses on Silicon Photonics , Photonics Integrated Circuits , and Sensor Development , particularly in mid-infrared applications. His recent publications demonstrate advancements in waveguide engineering, perovskite integration, and nonlinear optical effects optimization through computational methods. As Principal Investigator on grants exceeding £20 million from EPSRC and industry partners, his collaborative projects include MISSION (mid-infrared healthcare sensors), CORNERSTONE 2.5 , and PIXEurope . He also contributes to global education initiatives as a visiting professor at the University of Belgrade's Faculty of Electrical Engineering.
Yuvraj Agarwal is a Professor in the School of Computer Science at Carnegie Mellon University , where he leads the SYNERGY Labs . His research focuses on Systems and Networking with emphasis on Embedded Systems , Security , and Energy Efficiency in computing environments. He has been recognized with the NSF Expeditions in Computing Award for Computational Decarbonization research and multiple best paper awards. Education : PhD in Computer Science from University of California, San Diego Research Leadership : Founder/Director of SYNERGY Labs; Executive Director of NSF Expeditions in Variability (2010-2013) Research Trajectory : Recent publications highlight his work on Privacy-preserving smart classroom systems (EduSense, ClassID) IoT security labeling frameworks Audio privacy protection mechanisms Computational decarbonization of infrastructure His research combines hardware-software co-design with societal impact considerations. Scientific Recognition : NSF Expeditions in Computing Award for CoDec (2024) Ubicomp/IMWUT Distinguished Paper Award (2024) CHI Best Paper Honorable Mention (2022) Advising & Collaboration : Mentors students in IoT systems , privacy research , and green computing . Collaborates with institutions including University of Massachusetts Amherst and industry partners like Johnson Controls. Grants include NSF funding for multi-university research initiatives.
Dr. Yunjie Yang is an Associate Professor at the University of Edinburgh's School of Engineering, with affiliations at the Edinburgh Futures Institute (EFI), the Edinburgh Generative AI Laboratory (GAIL), and the Edinburgh Centre for Robotics. He previously held the Chancellor's Fellow in Data Driven Innovation (2018-2023) and Bayes Innovation Fellow (2023-2024) positions. His research focuses on AI-powered sensing and imaging, machine learning, and soft sensors & electronics for robotics. Yang received his PhD in Engineering Electronics from the University of Edinburgh, MSc in Control Science & Engineering from Tsinghua University, and BEng in Measurement & Control Engineering from Anhui University. After his PhD, he worked as a Postdoctoral Research Associate in Chemical Species Tomography before securing his lectureship. His research interests center on developing intelligent sensing systems that replicate human perception capabilities for robotics and intelligent systems. He pioneers flexible sensing and imaging technologies across various scales through innovative multi-modal sensors, soft electronics, and their modeling using machine learning approaches. His work aims to enable autonomous physical artificial intelligence by bridging the gap between robotic systems and human-like perception. Analysis of his recent publications reveals a strong focus on soft robotics perception, particularly through electrical impedance tomography (EIT) and transformer-based architectures. His research spans medical imaging applications, digital twin modeling for industrial processes, and machine learning approaches for sensor data interpretation. The trend shows increasing integration of physics-informed deep learning with traditional tomographic techniques to achieve higher accuracy and efficiency. European Research Council (ERC) Starting Grant (2024) IEEE J. Barry Oakes Advancement Award (2024) IEEE I&M Society Graduate Fellowship Award (2015) Multiple Best Paper Awards Senior Member of IEEE Fellow of the International Society for Industrial Process Tomography Fellow of the Higher Education Academy ESI highly cited papers Dr. Yang serves as Associate Editor for IEEE Transactions on Instrumentation and Measurement and holds editorial positions with Scientific Reports and IEEE Sensors Journal. His research has been licensed to overseas research institutes and industry partners and received wide media coverage including BBC, EFE, USA Today, and STV. He has secured significant grant funding including the prestigious ERC Starting Grant. He leads the Edinburgh SMART Lab (Sensing/imaging + Machine Learning + Robotics), which aims to replicate human perception capabilities for robotics and advance flexible sensing technologies through innovative multi-modal sensors and machine learning approaches. The lab focuses on enabling autonomous physical artificial intelligence with applications spanning medical diagnostics, industrial monitoring, and advanced robotics systems.
Jamella Gow is the Rasuli Lewis Assistant Professor of Sociology at Bowdoin College, where she teaches courses on race and ethnicity, Black culture and activism, migration, policing, borders, and globalization. She is affiliated with the Department of Sociology and actively contributes to interdisciplinary scholarship at the intersection of Black Studies and migration studies. Her research centers on how race, Blackness, and immigration intersect for Black Caribbean migrants in the United States, particularly Haitians, Jamaicans, and Afro-Cubans in South Florida. She investigates the dynamics of racial and ethnic identity, inclusion/exclusion, diasporic politics, and the criminalization of Black migrants under U.S. immigration policy. Her work critically engages anti-Blackness, differential Blackness, and transnational solidarity. Her recent publications include a co-edited volume titled Modern Migrations, Black Interrogations: Revisioning Migrants and Mobilities through the Critique of Anti-Blackness (Temple University Press, 2024), and journal articles in Sociology of Race and Ethnicity , Ethnic and Racial Studies , and Diaspora: A Journal of Transnational Studies . Her publications reflect a consistent focus on racialization, diaspora, and the socio-political marginalization of Black migrants. She frequently presents her research at major academic conferences such as the American Sociological Association and the Society for the Study of Social Problems. Jamella Gow has not been mentioned as receiving specific scientific awards in the provided text. However, her scholarly impact is evident through her publications and invited presentations. She advises and mentors students in sociology and related fields, though no named advisees are listed. Her research is collaborative, involving partnerships with scholars across institutions and community-based projects, such as her work with the Carrefour-Feuilles community in Haiti. She has also contributed to public scholarship through newsletters and book reviews. Her work is grounded in critical sociological theory and qualitative methods, and she is currently developing a book manuscript titled Black Migrants from Black Nations: Race, Blackness, and Immigrant Exclusion , which promises to make a significant contribution to the understanding of how racial, ethnic, and national statuses shape the lived experiences of Black immigrants.
Professor Liyue Shen is a faculty member in the Department of Biomedical Engineering within the College of Engineering at the University of Michigan. Her research program focuses on cutting-edge applications of artificial intelligence in biomedical imaging and healthcare, with particular expertise in diffusion models and inverse problem solving for medical image reconstruction. Dr. Shen's research interests span biomedical AI, medical image analysis, biomedical imaging, machine learning, computer vision, signal and image processing, AI for precision health, and bioinformatics. Her work bridges theoretical advances in AI with practical clinical applications, developing novel methods for medical image reconstruction, segmentation, and analysis that can improve diagnostic accuracy and treatment planning. Analysis of her recent publications reveals a strong focus on diffusion models for solving complex inverse problems in medical imaging, with particular emphasis on patch-based approaches, latent space disentanglement, and efficient sampling techniques. Her research group has made significant contributions to 3D CT reconstruction, chest X-ray analysis, holographic phase retrieval, and patient-specific imaging studies, demonstrating both theoretical innovation and practical clinical relevance. While specific scientific awards aren't mentioned in the available materials, her extensive publication record in top venues demonstrates significant scholarly impact in the field of biomedical AI. Her research program appears well-funded through grants supporting her work in medical imaging and AI development.
Douglas D. Ready is an Associate Professor of Education and Public Policy at Teachers College, Columbia University , where he serves as Director of the Consortium for Policy Research in Education (CPRE-TC). His research focuses on the intersections of education policy, social policy, and educational equity, particularly how policies influence socio-demographic disparities in cognitive development. Research Interests: Ready’s work examines the structural determinants of educational equity, including school choice architecture, personalized learning, early childhood education, and the impacts of technology on instruction. He has published extensively in journals such as Educational Evaluation and Policy Analysis and Sociology of Education . Editorial Roles: Ready contributes to the academic community as a member of the editorial boards of Educational Evaluation and Policy Analysis and American Educational Research Journal . Key Projects: He has led analyses of programs like Teach to One: Math and Pre-K for All , exploring their effects on student outcomes and equity.
Todd McCallum is an Assistant Professor in the Department of History at Dalhousie University . His research focuses on North American social and cultural history , particularly intersections with Marxism, anarchism, and working-class movements . He also explores themes of gender and sexuality within historical contexts. PhD in History from Queen’s University MA in History from Simon Fraser University BA in History from Queen’s University McCallum’s recent publications analyze transient worker communities, labor activism, and spatial marginalization during economic crises. His work critically examines how categories like “tramp” evolved alongside industrial capitalism and social policy, often incorporating interdisciplinary lenses such as eugenics, documentary photography, and urban sociology. Key trends in his research include the dialectic of mobility and marginality, gendered interpretations of transient life, and the role of radical ideologies in shaping worker identities. He has contributed extensively to journals like Labor/Le Travail and BC Studies , with a particular focus on Vancouver’s Depression-era hobo communities. His teaching portfolio includes courses on the history of the future , conspiracy theories , and gender formation in North America . Office hours are held in the Marion McCain Building, Halifax.
Fred B. Schneider is the Samuel B. Eckert Professor of Computer Science at Cornell University , where he has been a faculty member since 1978. His career spans foundational work in trustworthy systems , fault-tolerant distributed systems , and system security . He served as department chair from 2014–2018 and previously earned a B.S. in Engineering from Cornell (1975) and a Ph.D. in Computer Science from Stony Brook University (1978).
Floyd Mueller is a Full Professor of Future Interfaces in the Department of Human Centred Computing at Monash University, where he also directs the award-winning Exertion Games Lab. His work bridges human-computer interaction, interaction design, and game and play design, with a focus on bodily engagement and physical activity through technology. He has held prior academic and research positions at RMIT University, the University of Melbourne, and CSIRO, and has been affiliated with elite institutions such as Stanford University, MIT Media Lab, and Microsoft Research Asia. PhD in Interaction Design – University of Melbourne (2011) MS in Media Arts and Sciences – Massachusetts Institute of Technology (2002) Diplom-Informatiker (Medieninformatik) – Hochschule Furtwangen (2000) BSc in Multimedia – Griffith University (1999) Floyd Mueller’s research centers on human-computer interaction with a strong emphasis on bodily interactions, exertion interfaces, and playful technologies. His work explores how digital systems can support physical activity, human values, and novel forms of expression through games, wearables, augmented reality, and immersive experiences. He employs methodologies such as design ethnography, autoethnography, and Research Through Design to investigate the phenomenology of human-computer integration. His recent publications (2024–2025) reflect a continued focus on the future of bodily interfaces, including lucid dream mediation, extended reality for fear reduction in water, sonic gastronomy, and shared bodily control in augmented human systems. These works are published in top-tier venues like CHI and Human-Computer Interaction journal, highlighting trends toward immersive, sensory-rich, and human-centered computing that challenge traditional boundaries between body and machine. His scientific awards include being an inaugural honouree of the Australian Design Honours, receiving 9 Best Paper Honorable Mentions and 2 Best Papers at CHI and CHI PLAY, and being recognized as a Fulbright Visiting Scholar and Microsoft Research Asia Fellow. His games have been featured by BBC, ABC, Discovery Science Channel, and New Scientist, and won a Media Star Award. Floyd Mueller actively supervises PhD students through the Exertion Games Lab and Supervisor Connect platform. He has secured major research grants, including Australian Research Council Discovery and Linkage Projects. His current projects include Advancing Australia’s hospitality industry through interactive food and Designing digital aquatic play to foster Australians' engagement with water . He also serves as associate editor for IMWUT and IJHCS, co-founded the CHI PLAY conference series, and was general co-chair for CHI PLAY’18 and CHI’20. He leads the Exertion Games Lab, an interdisciplinary research team focused on inventing the future of bodily play. The lab investigates how technology can support active lifestyles through exertion games, wearables, drones, and immersive environments. The lab’s work spans design, prototyping, user studies, and real-world deployment, often in collaboration with chefs, athletes, and underwater explorers.
Charlotte Jacobsen is a Professor and Head of the Research Group for Bioactives – Analysis and Application at the National Food Institute, Technical University of Denmark (DTU). Her research focuses on lipid oxidation, antioxidants, and sustainable utilization of marine resources. She leads multiple interdisciplinary projects and supervises PhD students in food science and technology. Research Interests: Antioxidant chemistry in food systems Oxidative stability of omega-3 fatty acids Valorization of fish and seafood by-products Microalgae as sustainable sources of bioactives Functional foods and nutraceuticals Green extraction technologies Recent Research Trends: Her recent publications (2021–2025) reflect a strong focus on sustainable food systems, including the recovery of bioactive compounds from fish side-streams, stabilization of omega-3 lipids, development of anti-obesity peptides from seaweed, and cultivation of microalgae using industrial waste streams. The work spans food chemistry, marine biotechnology, and green processing, with applications in functional foods and nutrition. Scientific Awards: Danisco Award, 2003 Edwin Frankel Best Paper Award, 2010 and 2011 La Médaille Chevreul, 2010 Marcuse Lecturer grant, 1999 Advising and Grants: Professor Jacobsen actively supervises PhD students and leads multiple funded research projects, including 'Utilization of fish side-streams for production of novel food ingredients' and 'Sustainable Production of Microalgae Proteins'. She is involved in national and international collaborations, securing research funding for projects on omega-3 extraction, microalgae cultivation, and seafood quality. Labs and Teams: She leads the Research Group for Bioactives – Analysis and Application at DTU, which is part of the DTU Microbes Initiative. The group specializes in analytical methods for bioactive compounds, lipid oxidation analysis, and development of sustainable food ingredients.
Dr. Frank Rudzicz is an Associate Professor in the Faculty of Computer Science at Dalhousie University. His research lies at the intersection of artificial intelligence, natural language processing, and healthcare, with a focus on developing machine learning systems that improve clinical decision-making, patient outcomes, and accessibility in medicine. He holds a BSc from Concordia University (2004), an MEng from McGill University (2006), and a PhD from the University of Toronto (2011). His research interests include Natural Language Processing, Machine Learning, Healthcare, Speech Technologies, Explainable AI, and Fairness in ML. Dr. Rudzicz's recent publications span a wide range of topics, including Alzheimer's detection through speech analysis, surgical outcome prediction, mental health monitoring, privacy in AI, and the application of large language models in clinical settings. His work consistently emphasizes ethical AI, patient privacy, and real-world clinical integration. He has received several awards, including a Best Paper award at EMNLP 2020, a Best Student Paper award at ICASSP 2021, and the ISCA Best Student Paper award in 2013. His research has been published in top-tier journals such as Nature Scientific Reports , JAMA Network Open , IEEE Access , and Frontiers in Human Neuroscience , as well as leading conferences including NeurIPS, ACL, ICML, and Interspeech. Dr. Rudzicz supervises a dynamic research group working on AI for health, with active projects in voice-based diagnostics, ambient clinical documentation, explainable AI for surgery, and wearable-based monitoring for chronic diseases. He collaborates widely across disciplines, including with clinicians, neuroscientists, ethicists, and public health experts. He is also involved in major initiatives such as the Genetics Navigator study and Bridge2AI-Voice, aiming to build ethically sourced, diverse biomedical datasets. His lab actively explores the societal implications of AI in healthcare, including fairness, trust, and resistance to malicious fine-tuning.
Sanjit A. Seshia is the Cadence Founders Chair Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley . He is affiliated with the Group in Logic and the Methodology of Science and participates in centers like the Industrial Cyber-Physical Systems Center , Berkeley AI Research , and the Simons Institute for the Theory of Computing . Research interests include formal methods for automated verification and synthesis of dependable systems, with applications to cyber-physical systems , AI-based autonomy , and computer security . His work spans SMT solving, model counting, syntax-guided synthesis, and algorithmic improvisation, with tools like UCLID5 , VerifAI , and Scenic for verifying autonomous systems and educational platforms like CPSGrader . Students and collaborators include notable researchers such as Dorsa Sadigh (Stanford), Daniel Fremont (UC Santa Cruz), and Hazem Torfah (Chalmers). He has co-founded startups like Decyphir and 20ⁿ Labs based on his research.
Fei Ding is a Senior Researcher at National Renewable Energy Laboratory (NREL) specializing in Power Systems Engineering within the Grid Modernization Research Topic. Her work focuses on integrating renewable energy into electrical grids, optimizing distributed energy resources, and enhancing grid resilience. Education: PhD in Electrical Engineering from Case Western Reserve University Her research spans: Distribution grid modeling and control strategies Grid-edge resource optimization for reliability and cybersecurity Photovoltaic hosting capacity analysis Recent publications emphasize: AI-driven voltage regulation with neural networks Microgrid formation for grid restoration Data fusion techniques for outage detection Award highlights: NREL Chairman’s Award (2018) NREL President's Award (2020) NREL Distinguished Member of Research Staff (2021) She actively contributes to IEEE as a Senior Member and leads projects developing advanced distribution management systems.
Professor Victor Fung is a leading academic in neurology and motor control at the Sydney Medical School , University of Sydney. He serves as Director of the Movement Disorders Unit at Westmead Hospital and holds prominent roles in the International Parkinson and Movement Disorder Society (President) and the Asia Pacific Affairs Committee of the Australian and New Zealand Association of Neurologists. His research focuses on Parkinson's disease , dystonia , tremor , and movement disorder genetics , with over 250 peer-reviewed publications and an h-index of 61. His work spans Clinical trials for Parkinson's treatments (e.g., foslevodopa/foscarbidopa infusion, incobotulinumtoxinA) Genetic studies on dystonia and Parkinsonism Neurophysiological assessments of tremor and balance Development of screening tools for dystonia and Parkinson's complications Key article trends highlight genetic diversity in dystonia, neuroinflammatory mechanisms in tremor, and behavioral neurology in Parkinson's disease. He contributes to editorial boards of npj Parkinson's Disease , Journal of Clinical Movement Disorders , and Faculty Opinions . While no explicit student lists are provided, his collaborations span global institutions. His clinical work at Westmead Hospital addresses device-assisted therapies and complex movement disorders.
Professor David C. Dunand is a faculty member in the Department of Materials Science and Engineering at Northwestern University , where he leads the Dunand Research Group . His work focuses on mechanical metallurgy of advanced metallic materials, including alloys, composites, and foams, with applications in energy-efficient transportation and biomaterials. He also investigates additive manufacturing techniques like laser powder-bed fusion and 3D ink extrusion. Research Interests: Physical and mechanical metallurgy of multiphase metals Additive manufacturing (ink extrusion, selective laser melting) Green/sustainable metal production In situ X-ray tomography for microstructure analysis Metallic foams and scaffolds Thermoelectric materials Recent Publications show expertise in redox cycling stability, precipitation strengthening, and hierarchical microstructures, with applications in batteries, shape-memory alloys, and high-entropy systems. Awards: TMS Fellow (2012) Structural Materials Division Distinguished Scientist/Engineering Award (2008) Fellow, ASM International (2007) Department Teacher of the Year (1998) He has held leadership roles including Co-Director of the Initiative for Sustainability and Energy at Northwestern (2008-2015) and Visiting Professor at École Polytechnique Fédérale de Lausanne (2000). The group operates a SISMA MYSINT 100 laser powder bed fusion machine and collaborates extensively.
