Roger Tam is an Associate Professor in the School of Biomedical Engineering (SBME) at the University of British Columbia (UBC), with a joint appointment in the Department of Radiology. He is also the Associate Director of Graduate Studies. His research focuses on machine learning and computer vision applied to medical imaging, particularly in personalized medicine and quantitative image analysis. Tam earned his PhD in computer science from UBC in 2004, specializing in computational geometry and visualization. Education: PhD in Computer Science, UBC (2004) MSc in Computer Science BSc (Honors) Research Interests: Medical imaging biomarkers Machine learning applications in healthcare Quantitative image analysis Personalized medicine His work bridges computer science and clinical medicine, emphasizing translational approaches to improve diagnostic accuracy and patient outcomes. Recent Research Trends: Focus on myelin content analysis in neurological disorders (e.g., multiple sclerosis) Development of efficient machine learning models for medical image classification Impact of physical activity on white matter health Labs & Programs: Directs the Engineers in Scrubs program, which integrates engineering principles into biomedical education. Active in collaborative research initiatives like the Centre for Brain Health and the Canadian Prospective Cohort Study (CanProCo).
Dr. Chenhao Chu is a Professor at ETH Zürich, holding the Professur für Elektronik (Professorship for Electronics). He specializes in RF/mm-Wave circuits, AI-driven design methods, and advanced power amplification technologies. His research focuses on energy-efficient, wideband systems, antenna-in-package solutions, and GaN-based applications for 6G and beyond. Education: Ph.D. in Electronic Engineering, University College Dublin (2022) M.Sc. in Electronic Information Engineering, City University of Hong Kong (2017) Research Interests: His work bridges AI and hardware design, emphasizing reconfigurable circuits , high-linearity power amplifiers , and mm-Wave phased arrays . Key areas include: AI-assisted rapid design synthesis III-V/Si co-design for mm-Wave Efficient antenna integration Dynamic load modulation techniques Awards: Award-winning researcher with distinctions including the First Place Best Student Paper Award (2022 Royal Irish Academy Colloquium) and multiple HEPA-SDC Competition Awards (2021-2022). Recognized for innovations in PA efficiency and design automation. Advising & Grants: Leading projects on 6G PA architectures and AI-driven RF design. Active in IEEE with contributions to conferences like IMS and ARFTG. No explicitly stated grants mentioned but widely cited in industry-academia collaborations. Labs & Teams: Associated with ETH Zürich's Electronics Laboratory, focusing on next-generation wireless systems. Collaborates internationally on 5G/6G infrastructure and mm-Wave innovations.
Dr. Rani Moran is a Lecturer in Psychology at Queen Mary University of London's School of Biological and Behavioural Sciences. She is affiliated with the Centre for Brain and Behaviour. Her research focuses on decision-making, memory, and learning mechanisms, employing methods like computational modeling, neuroimaging, and pharmacological interventions. Key interests include reinforcement learning, cognitive maps, and exploration-exploitation dilemmas. Her work integrates experimental designs with advanced statistical analysis to understand flexible behavioral control. Recent studies explore model-based vs. model-free learning, credit assignment mechanisms, and disinformation's impact on learning biases. She has published in top journals such as Psychological Review and Nature Communications . Dr. Moran collaborates on projects involving neurocomputational models of confidence, meta-cognition, and social learning. Her research aims to develop interventions for optimizing cognitive processes, with applications in mental health and decision-making contexts.
Margaret Greenwald serves as Associate Professor and Ph.D. Coordinator in the Department of Communication Sciences and Disorders (CSD) within Wayne State University's College of Liberal Arts and Sciences. Previously department chair (2014-2020), she is a Licensed and Certified Speech-Language Pathologist (CCC-SLP) recognized in 2022 as Wayne State's Outstanding Graduate Mentor in the health sciences. Her academic credentials include: M.A. in Speech-Language Pathology (University of Florida) Ph.D. in Communicative Sciences and Disorders (University of Florida) Post Doctoral Research Training in Cognitive Neuropsychology (University of Maryland, Department of Neurology) Dr. Greenwald's research centers on adult neurogenic communication disorders , specializing in aphasia, traumatic brain injury, and stroke rehabilitation through cognitive neuropsychology. Her work employs Magnetoencephalography (MEG) to map brain-behavior relationships during language and musical processing tasks, revealing critical insights for rehabilitation. She actively bridges clinical practice with neuroscience to develop evidence-based interventions. Analysis of her recent publications shows consistent focus on neuroimaging applications for understanding language disorders, with growing emphasis on telepractice implementation and the cognitive effects of musical training. Her work demonstrates strong translational value, connecting basic neuroscience to clinical rehabilitation protocols while maintaining rigorous methodological standards. Her scientific recognition includes: Outstanding Graduate Mentor in the Health Sciences, Wayne State University (2022) As an educator, Dr. Greenwald teaches graduate courses in aphasia, neuromuscular speech disorders, research methods, and doctoral seminars, plus undergraduate speech-language pathology instruction. She supervises doctoral research as Ph.D. coordinator and mentors students through clinical research projects. Her teaching integrates current neuroscience findings with clinical practice standards. She maintains active professional engagement through memberships in the American Speech-Language Hearing Association (ASHA), Academy of Aphasia, and International Neuropsychological Society, contributing to both clinical guidelines development and research community advancement.
Yanhua Li is an Associate Professor in the Computer Science Department and Data Science Program at Worcester Polytechnic Institute (WPI), where he has served since 2021 (previously as Assistant Professor from 2015-2021). He is also an affiliated researcher at UMass Transportation Center (UMTC). His educational background includes dual PhDs: Computer Science from University of Minnesota, Twin Cities (2013) and Electrical Engineering from Beijing University of Posts and Telecommunications (2009), along with an MS (2006) and BS (2003) in Electrical Engineering from Sichuan University. Dr. Li's research focuses on artificial intelligence and spatial-temporal data science with applications in smart cities and urban intelligence. His work particularly emphasizes imitation learning and meta learning in AI for understanding and influencing urban human agents' decision-making strategies, such as taxi drivers' passenger-seeking behaviors and urban travelers' transit choices. His laboratory develops advanced computational methods for urban transportation systems, traffic prediction, and spatial-temporal data analytics. His publication record shows a strong trajectory in top AI and data science venues, with recent work bridging foundation models with urban computing, enhancing robustness in spatial-temporal representation learning, and applying generative models to urban traffic estimation. His research spans computer vision, reinforcement learning, generative modeling, and spatio-temporal data analysis with applications in transportation, environmental monitoring, and urban planning. Best Applied Data Science Paper Award at SDM 2019 NSF CAREER Award (2020) Runner-up for the 10-Year Impact Award for SIGSPATIAL Conference (2024, for 2014 paper) Dr. Li has secured significant research funding including an NSF CAREER award ($529k), multiple NSF grants totaling over $2 million, and industry collaborations with DiDi Chuxing Research. He has advised numerous PhD students who have gone on to faculty positions at institutions like San Diego State University and SUNY Binghamton University. His research group maintains active collaborations with industry partners including DiDi Chuxing, Pitney Bowes Inc., and NVIDIA. He leads several research initiatives including the CityLines project for urban transportation systems and has contributed to foundational work in spatial-temporal imitation learning. His laboratory continues to expand into new areas including applying large language models to urban dynamics prediction and developing advanced methods for environmental monitoring.
Dr. Ahmet Atay is a Professor of Global Media and Communication at the College of Wooster. He holds a Ph.D. from Southern Illinois University-Carbondale. His research focuses on diasporic experiences, queer and immigrant identities, new media technologies, and critical communication pedagogy. He is the author of Globalization’s Impact on Identity Formation: Queer Diasporic Males in Cyberspace and co-editor of numerous volumes on digital media, intercultural communication, and postcolonial studies. His work bridges media studies, cultural analysis, and queer theory. Education : Ph.D., Southern Illinois University-Carbondale Research Interests : Atay explores transnational queer digital networks, postcolonial communication, autoethnographic methodologies, and the intersection of technology with diasporic identity. He critiques globalization’s impact on cultural and gendered identities, particularly through media representation. Recent work examines pandemic-era pedagogical shifts and service-learning in higher education. Publications Trends : His 2022 articles emphasize critical pedagogy and media narrative evolution, while 2021 works focus on queer digital spaces and decolonial frameworks. Earlier studies (2020–2019) analyze Italian cinema, autoethnography, and international faculty experiences. His writing consistently links digital media to identity politics across transnational contexts. Awards : 2021 Top Three Finalist, ASHE CIHE Award for Research on International Higher Education Advising & Grants : No listed advisees, but his collaborative edited volumes suggest extensive mentorship in academic publishing. No grants explicitly mentioned. Lab/Teams : No dedicated lab mentioned, but his work involves global academic networks through co-edited books and interdisciplinary research partnerships.
Amy Scott Metcalfe is a Professor in the Department of Educational Studies at the University of British Columbia (UBC), affiliated with the Faculty of Education. She holds dual appointments with the Institute for Gender, Race, Sexuality and Social Justice, emphasizing interdisciplinary approaches to higher education studies. Her research focuses on international comparative higher education systems, academic governance, and sociological analysis of university policies. She critiques managerialism trends and explores gender disparities in academic productivity. Metcalfe employs visual methodologies, including photo-ethnography and extended photo essays to document institutional change. Teaching responsibilities are managed through the Department of Educational Studies, with course details available via UBC’s official portal. Her scholarship spans Canadian and global contexts, addressing issues like faculty internationalization, research ethics frameworks, and the impact of pandemic disruptions on academic collaboration. Key contributions include longitudinal studies on Canadian professors’ perceptions of work-life balance, comparative analyses of gender gaps in research output across North America, and critical examinations of university-industry-government networks. She advocates for equity-centered pedagogies and anti-colonial approaches in higher education policy.
Sarah Carton is a Teaching Professor in the Psychology Department at Rutgers University, part of the School of Arts and Sciences. She joined Rutgers in Fall 2019 after earning her Ph.D. in the Cognition & Perception Program at New York University (2008). Her research focuses on developmental psychology, visual perception, and cognitive development in infants and young children. She teaches courses such as Introductory Psychology, Drugs & Behavior, Sensation & Perception, and Cognition, with upcoming courses like Perception of Color (PSY 2xx). Dr. Carton’s research interests include object recognition, visual illusions, perceptual categorization, infant development, and eye-tracking methodologies. Her work explores how infants perceive impossible figures, haptic exploration of objects, and transitional saccades in response to visual stimuli. She investigates foundational questions about how infants distinguish possible from impossible objects and develop spatial and dimensional understanding through multisensory interactions. Her teaching portfolio includes undergraduate courses at both Livingston and New Brunswick campuses. She actively contributes to educational initiatives in psychology, emphasizing evidence-based pedagogy. Dr. Carton’s current research trends span perceptual development, cognitive differentiation in infants, and the role of visual and haptic modalities in forming conceptual categories. Dr. Carton’s work has been published in leading journals, with recent studies examining young children’s understanding of object coherence and infants’ visual responses to paradoxical stimuli. Her research integrates behavioral experiments and eye-tracking technology to unravel early perceptual and cognitive processes.
Heikki Handroos is a Full Professor of Mechanical Engineering at LUT University, leading the Laboratory of Intelligent Machines since 1993. He holds a DSc (Technology) from Tampere University of Technology and has served as Vice-Dean of the Faculty of Technology (2007-2009) and currently chairs the Collegiate Body of LUT University. His research focuses on mechatronics, robotics, control systems, and fluid power, with over 300 publications and 2,400+ citations. He has supervised 34 doctoral theses and 150+ MSc projects, managed R&D projects exceeding €20M, and co-founded four tech startups. His work spans industrial collaborations, digital twin applications, and innovative robotics for nuclear energy (e.g., DEMO reactor maintenance systems). He has held visiting professorships in the U.S., Japan, and Russia, and actively contributes to academic editorial roles and professional societies like ASME and IEEE.
Stacy Holman Jones is a Professor of Theatre and Performance in the School of Languages, Literatures, Cultures and Linguistics at Monash University. With over 23 years of academic experience, she has developed an international reputation for leadership in performance studies, particularly in feminist and queer theory, new materialist research, and critical arts-based methodologies. Her educational background includes a PhD in Communication/Performance Studies from the University of Texas at Austin (2001), an MA in Communication from California State University Sacramento (1996), and a BA in Humanities (1988). Professor Jones's research focuses on performance as socially, culturally, and politically resistive and transformative activity. She is a recognized leader in critical autoethnography and has published over 100 articles, book chapters, and editorials, as well as authored, co-authored, and edited 14 books including the influential Handbook of Autoethnography (2013, 2021) and Queering Autoethnography (2018). Her work spans cultural critique, social inclusion, education, resilience building, designing for social impact, and enhancing health and wellbeing among minoritarian communities. Analysis of her recent publications reveals a strong trajectory toward creative ecological approaches to mental health, collaborative autoethnographic methods, and innovative design for social impact. Her research increasingly integrates performance studies with mental health applications, particularly in educational settings, while maintaining strong connections to queer theory, new materialisms, and critical autoethnography. International Congress of Qualitative Inquiry's Special Career Award National Communication Association's Distinguished Service Award in Performance Studies Janice Hocker Rushing Early Career Research Award Organization for the Study of Communication, Language, and Gender Feminist Teacher/Mentor Award Over the Rainbow Recommended Book List for Queering Autoethnography (2019) International Congress of Qualitative Inquiry Qualitative Book Award, Honourable Mention (2020) Multiple Good Design Awards for 'The Tomorrow Party' (2024) Professor Jones has been part of 3 successful ARC applications totaling $1,353,604, including as Lead CI for DP200102876 Staging Australian Women's Lives (2020-2023). She is currently accepting PhD students with supervision interests in theatre and performance studies, social change and social justice, and health and wellbeing research. She serves as the founding editor of Departures in Critical Qualitative Research and has been actively involved in professional organizations including serving as President of the International Congress of Qualitative Inquiry (2015-2018). Her current research activities include multiple collaborative projects such as 'Playing Transitions - Settling and Belonging in School together' (2024-2027), 'Learning Creates: Tomorrow Party' (2024), and 'Canopy: Creative partnerships for policy advocacy in Climate and Health' (2024), demonstrating her commitment to interdisciplinary, impact-focused research that bridges theory and creative practice.
Hossein Valavi is a Lecturer and Assistant Director of Undergraduate Studies at Princeton University, contributing to advancements in computer architecture and hardware acceleration. His research focuses on in-memory computing, neural networks, and energy-efficient systems, with notable work in reconfigurable architectures and mixed-signal processing. He has received multiple teaching awards, including recognition for innovative pandemic-era Car Lab courses and collaborative work honored by the Edison Patent Award. His academic contributions span academic positions since 2018, emphasizing both research and pedagogical excellence. Key technical areas include scalable in-memory computing systems, analog neural network accelerators, and low-power matrix factorization algorithms. His work addresses critical challenges in data movement reduction and hardware-software co-design for modern computing systems. Awards: Teaching Excellence Awards (2021, 2023), Edison Patent Award (2023) Grants & Projects: Leading developments in in-memory computing accelerators and embedded microprocessor designs Research teams under his guidance have produced impactful IP in semiconductor layouts, CNN accelerators, and programmable architectures, aiming to bridge theoretical computer science with practical hardware implementations.
Dr. Yiran Chen is the John Cocke Distinguished Professor at Duke University's Department of Electrical and Computer Engineering, leading the NSF AI Institute for Edge Computing (Athena) and the Duke Center for Computational Evolutionary Intelligence (DCEI). A global leader in neuromorphic computing, emerging memory systems, and edge AI, he holds prestigious roles including IEEE Fellow and Editor-in-Chief of IEEE Transactions on Circuits and Systems for AI. His research spans machine learning accelerators, security-hardened hardware, and co-design of EDA tools with LLMs. With over 700 publications and 96 patents, he has been awarded 15 paper awards and 17 nominations, including rare Technical Achievement Awards from IEEE societies. He advises over 60 PhD students and 4 postdocs, many of whom hold academic positions worldwide. His work bridges academia and industry, contributing to startups and venture capital through his board roles. Education: B.S. (Tsinghua, 1998) → M.S. (Tsinghua, 2001) → Ph.D. (Purdue, 2005). Career path: Assistant/Associate Professor at University of Pittsburgh (2010–2014) → Duke since 2014. Awards include the ACM SIGDA Outstanding New Faculty Award (2014), NSF CAREER Award (2013), and the Stansell Family Distinguished Research Award (2022). Research focuses on innovations in: (1) Non-volatile memory architectures for AI acceleration, (2) Hardware-software co-design for edge computing, (3) Security in neuromorphic systems, and (4) Large-scale ML for EDA. His group pioneered ReRAM-based accelerators like ReBNN and MARC, and introduced novel edge AI frameworks like Ecco and Prosperity. These works address scalability, energy efficiency, and real-time performance challenges. Key initiatives include the NSF IUCRC for Alternative Sustainable & Intelligent Computing (ASIC), advancing sustainable computing through novel materials and architectures. His leadership in standard-setting bodies like the IEEE Circuits and Systems Society ensures cutting-edge research translates into industry practices. Grants: Lead PIs for multiple NSF AI Institutes and industry partnerships. Labs: Directs the Athena Institute and DCEI, fostering collaboration between academia and industry. Current projects include quantum computing placement algorithms (QPlacer), federated learning frameworks (FedGPT), and neuro-symbolic architectures.
Michelle MacLeod is a Professor of Gaelic and Head of the School of Language, Literature, Music and Visual Culture at the University of Aberdeen, where she has been a faculty member since 2004 and was promoted to Personal Chair in 2019. She is currently Dean for Impact and Engagement and leads research and teaching in Scottish Gaelic language, literature, and identity. Education: M.A. (Hons), PhD (University of Aberdeen) Her research centers on modern Gaelic literature, Gaelic drama, language planning, and the sociolinguistics of minority languages. She is deeply engaged in questions of Gaelic identity, adult language acquisition, and community language policy. Her work bridges academic scholarship and public policy, particularly through her role on Bord na Gaidhlig. The most recent publications show a strong focus on Gaelic cultural expression, language policy critique, and sociolinguistic analysis of new speakers and family language use. Her work increasingly integrates interdisciplinary methods, including digital pedagogy and motivational psychology in language learning. Scientific awards include: Donald Meek Prize for best non-fiction Gaelic book (2021) AHRC Future of Languages Research Fellow (2022) Students' Union & University of Aberdeen Prize for Most Inspirational Lecturer (2024) She supervises PhD students in Gaelic studies and linguistics and collaborates with institutions like Sabhal Mòr Ostaig and Comunn na Gàidhlig. Her leadership extends to national language planning and knowledge exchange, reflecting her commitment to the revitalization of Gaelic as a living community language. Michelle MacLeod is a key figure in the Gaelic academic community, leading both institutional and scholarly efforts to sustain and develop Scotland’s indigenous language through research, teaching, and policy engagement.
Pradeep Lall is the MacFarlane Endowed Distinguished Professor and Alumni Professor in the Department of Mechanical Engineering at Auburn University’s Samuel Ginn College of Engineering. He serves as Director of the Auburn University Electronics Packaging Research Institute (EPRI) and holds a joint courtesy appointment in the Department of Electrical and Computer Engineering. A leader in flexible hybrid electronics and harsh environment systems, Dr. Lall has built a world-renowned research program focused on additive manufacturing, electronics reliability, and sustainable materials. Ph.D. in Mechanical Engineering, University of Maryland M.B.A. in Finance and Strategy, Northwestern University M.S. in Mechanical Engineering, University of Maryland B.E. in Mechanical Engineering, Delhi College of Engineering Dr. Lall’s research centers on Flexible Hybrid Electronics (FHE) , Harsh Environment Electronics , Semiconductor Packaging , and Prognostics Health Management . His work leverages additive manufacturing techniques such as Aerosol-Jet, InkJet, and screen printing to develop conformal, robust, and sustainable electronic systems. His innovations include the Flexible Biometric Band for monitoring workers in hazardous environments and additively printed antennas for aerospace applications. His recent focus includes eliminating PFAS from electronics and developing water-based inks for eco-friendly manufacturing. The 15 most recent publications reflect a strong trend toward sustainability , additive manufacturing , and real-world applications in defense, aerospace, automotive, and healthcare. His work bridges fundamental research with industrial realization, particularly through partnerships with NextFlex and federal agencies. Themes include reliability under shock and vibration, sensor development for extreme environments, and workforce training in advanced manufacturing. Dr. Lall has received numerous scientific honors, including: SMTA Founder’s Award (2024) SEMI FlexTech R&D Achievements Award (2023) ASME Avram Bar-Cohen Memorial Medal (2022) IEEE Biedenbach Outstanding Engineering Educator Award (2020) IEEE Sustained Technical Contributions Award (2018) NSF Alex Schwarzkopf Prize (2016) Fellow of ASME, IEEE, NextFlex, and Alabama Academy of Science Dr. Lall has secured over $2 million in annual research funding from SRC, NSF, and NextFlex, leading large-scale projects on sustainable electronics and workforce development. He mentors numerous graduate and undergraduate students and leads the NSF-CAVE3 Center. As founding faculty advisor of the SMTA student chapter, he promotes student engagement in electronics manufacturing. His lab, EPRI, features a full prototyping line for additive electronics and collaborates with industry and government to advance domestic manufacturing capabilities. EPRI, under Dr. Lall’s leadership, partners with the Auburn University Research and Technology Park, the Office of Economic Development, and multiple colleges to drive technology commercialization and workforce education in electronic packaging. The institute is at the forefront of the national effort to reestablish U.S. leadership in semiconductor packaging and advanced electronics manufacturing.
Dr. Wolfram Barfuss is the Argelander Professor of Integrated Systems Modeling for Sustainability Transitions at the University of Bonn, affiliated with the Center for Development Research (ZEF). He is a member of multiple interdisciplinary research areas including TRA Sustainable Futures, TRA Modeling, and TRA Individual and Societies, as well as the Cluster of Excellence PhenoRob and the Center for Earth System Observation and Computational Analysis (CESOC). He also collaborates with the Potsdam Institute for Climate Impact Research and the Earth Resilience Science Unit. His research focuses on understanding whether humanity is 'smart enough for the good life' by developing formal models of collective learning and decision-making in complex social-ecological systems. He integrates methods from complex systems, multi-agent reinforcement learning, and dynamical systems theory to explore sustainability transitions, cooperation, and Earth system resilience. The recent publications demonstrate a strong focus on modeling collective intelligence, cooperation in stochastic games, decision-making under uncertainty, and integrated World-Earth system modeling. His work spans disciplines including computer science, environmental science, game theory, and cognitive science, with frequent contributions to high-impact journals like PNAS , Nature Communications , and Environmental Research Letters . Argelander Professor for Integrated Systems Modeling for Sustainability Transitions Member, TRA Sustainable Futures Member, TRA Modeling Member, TRA Individual and Societies Cluster of Excellence PhenoRob Center for Earth System Observation and Computational Analysis (CESOC) Earth Resilience Science Unit (Potsdam) Earth Resilience and Sustainability Initiative (Princeton-Stockholm-Potsdam) Dr. Barfuss teaches graduate courses at the University of Bonn and Humboldt University Berlin, including Complex System Modeling of Human-Environment Interactions, Economics on Sustainability, Systems Modeling, and Introduction to Agent-Based Modeling. He leads the BarfussLab, where his team develops computational tools such as pyCRLD for modeling collective reinforcement learning dynamics. While specific student advisees are not listed, his lab and publications suggest active supervision and collaboration with early-career researchers. He has not received any explicitly mentioned scientific awards in the provided text. His research is supported through institutional affiliations and collaborative projects rather than individually listed grants.
