Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award
Deian Stefan is an Associate Professor at the University of California San Diego (UCSD) in the Department of Computer Science and Engineering . His research spans security , programming languages , and systems , with a focus on building principled and practical secure systems. He has served as a co-founder and Chief Scientist at Intrinsic (acquired by VMWare) and contributed to standards bodies like the W3C WebAppSec and Node.js Security Working Groups . His research interests include: Secure Systems : Web frameworks, browser designs, sandboxing, runtime systems Language-Based Security : Constant-time programming, memory safety, information flow control Verification : Security verification, static/symbolic analysis tools WebAssembly and JavaScript JITs security Deian Stefan has received multiple scientific awards , including several Distinguished Paper Awards at venues like POPL, ICFP, and USENIX Security, as well as the IEEE Cybersecurity Award for Practice (2022) and CSAW 2020 First Place for Applied Research. He has taught courses on Computer Security (CSE 127, CSE 227) and advanced topics in Building Secure Systems (CSE 291) using Rust, WebAssembly, and blockchain security. His work has been supported by collaborations with industry and academia, including projects like RLBox and COWL .
Assia Mahboubi is a tenured researcher ( directrice de recherche ) at INRIA in the Gallinette team, Nantes, France, and an endowed professor in the Algebra and Number Theory section of the Vrije Universiteit Amsterdam, Netherlands. Her work bridges theoretical computer science and formal mathematics, with significant contributions to proof assistants and formal verification. Her research focuses on the foundations and formalization of mathematics in type theory, particularly on the automated verification of mathematical proofs. She explores the interplay between computer algebra and formal proofs, and is a key contributor to the Rocq prover (formerly Coq) and the Mathematical Components libraries. Her work often examines how familiar mathematical objects can be optimally represented for computer-aided proof checking. Recent publications show a strong trend toward categorical reasoning, diagram chasing, and continuity properties in constructive type theory, with increasing focus on practical applications of formal methods in computational mathematics. Her work demonstrates the maturation of formal verification techniques from theoretical foundations to practical tools for mathematical research. ERC Consolidator grant for the FRESCO (Fast and Reliable Symbolic Computation) project Mahboubi actively supervises doctoral students including Vojtěch Štěpančík, Tomás Vallejos Parada, and Alain Chavarri Villarello. She has received significant research funding through her ERC Consolidator grant for the FRESCO project, which aims to develop fast and reliable symbolic computation techniques. She is deeply involved in the international research community, serving on program committees for major conferences including POPL, CPP, and ICFP. She leads research in the Gallinette team at INRIA, which focuses on the intersection of proof assistants, programming languages, and formal mathematics. Her work has helped establish formal verification as a practical tool for mathematical research, moving beyond theoretical foundations to real applications in computational mathematics.
Professor Hassan Rivaz is a Full Professor and Concordia University Research Chair in Medical Imaging with Deep Learning at Concordia University's Gina Cody School of Engineering and Computer Science. He holds appointments in the Department of Electrical and Computer Engineering and is cross-appointed to the Department of Computer Science & Software Engineering. Dr. Rivaz serves as the Founding Director of the IMPACT Lab and actively supervises PhD students in Electrical and Computer Engineering and Computer Science programs. Dr. Rivaz received his PhD from Johns Hopkins University in 2011, Master's degree from the University of British Columbia, and Bachelor's degree from Sharif University, followed by postdoctoral training at McGill University. His academic journey includes prestigious awards such as the NSERC Post-Doctoral Fellowship and Jeanne Timmins Costello Post-Doctoral Award. His research focuses on advancing medical image analysis through deep learning techniques, particularly in ultrasound imaging applications. Dr. Rivaz has made significant contributions to quantitative ultrasound, cancer detection, lymphedema assessment, and ultrasound elastography. His work bridges theoretical algorithm development with practical clinical applications, addressing challenges in medical image denoising, segmentation, registration, and tissue characterization. The IMPACT Lab under his direction develops innovative solutions for medical imaging problems with direct clinical relevance. Analysis of his recent publications reveals a strong emphasis on deep learning applications for ultrasound image processing, with particular focus on denoising techniques, elastography improvements, and segmentation algorithms. His work consistently addresses the challenge of working with real clinical data rather than simulated environments, contributing to more practical medical imaging solutions. Dr. Rivaz has received numerous prestigious awards including: Concordia University Research Chair in Medical Imaging with Deep Learning (2023–2028) QBIN/RBIQ Rising Star in Bio-Imaging in Quebec (2022) Concordia University Research Chair in Medical Image Analysis (2018-2023) Petro-Canada Young Innovator Award (2016–2018) He actively mentors graduate students, with many recipients of competitive scholarships including NSERC CGS, FRQNT, and FRQS awards. Dr. Rivaz serves on editorial boards for top journals including IEEE Transactions on Medical Imaging (since 2017), Medical Image Analysis (since 2025), and IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control (since 2018). He has organized major conferences including IEEE EMBC 2020, ISBI 2021, and IEEE IUS 2023, and served as Area Chair for MICCAI from 2017 to 2024. As Founding Director of the IMPACT Lab, Dr. Rivaz leads a multidisciplinary research team focused on innovative medical imaging solutions. The lab maintains strong collaborations with hospitals and research institutions to translate imaging technologies into clinical practice. Current projects include developing AI-powered ultrasound analysis tools, quantitative imaging biomarkers for cancer diagnosis, and advanced techniques for ultrasound elastography with applications in tissue characterization and disease detection.
Dr. Mbita Mbao is an Assistant Professor in the School of Social Work at Salem State University, where she teaches courses including SWK 700 (Human Behavior), SWK 704/705 (Social Work Practice), and aging-focused courses like SWK 871. Her teaching philosophy emphasizes experiential learning and valuing student experiences. Dr. Mbao's research focuses on behavioral health, aging populations, workforce development, and immigrant issues. She actively works to expand aging-related curriculum and services through her involvement with the Older Adults Behavioral Health Network and Salem for All Ages initiative. Her education includes a BSW from Bowling Green State University, MSW from Rhode Island College, and PhD from Simmons University. As a Licensed Clinical Independent Social Worker, she maintains a clinical practice providing in-home therapy to older adults. Honors include: 2025 North Star Collective Fellow 2019 AGESW Pre-Dissertation Fellow 2021 GSA MCDTAW Early Career Diversity Fellow
Lauren Leve is an Associate Professor of Religious Studies and Director of Graduate Studies at the University of North Carolina at Chapel Hill. Her academic career centers on the intersection of religion, culture, and changing forms of life in contemporary Nepal and South Asia. Trained as an anthropologist, she examines how religious practices and subjectivities interact with broader political, economic, and social trends, particularly those associated with neoliberal globalization. Ph.D., Princeton University B.A., University of Chicago A.A., Simon's Rock of Bard College Professor Leve's research interests span ethnographic methods, the ethnography of religion, personhood, subjectivity, the anthropology of ethics, democracy, law, violence, international development, globalism, postcoloniality, and the religious landscapes of Nepal, South Asia, and Buddhist Southeast Asia. Her work explores how religious practices mediate and are mediated by political and economic transformations, with particular attention to how human agents use religion to reflect on their world and aspirations. Her scholarly output reveals a consistent focus on Theravada Buddhism's revival in Nepal, particularly among Newar communities, and how this religious movement intersects with democratic reforms, economic liberalization, and changing forms of personhood. Her publications demonstrate expertise in both ethnographic methodology and theoretical contributions to understanding modern religious subjectivity, with a special emphasis on how global processes are reflected and reflected upon by Nepali Buddhists. James Fisher Prize for First Books on the Himalayan Region (2018) UNC FIRE grant (2016) Carolina Women's Center, Faculty Fellow (2013-14) Institute for Arts and Humanities, Faculty Fellow (2007) Harry Frank Guggenheim Foundation, Research Award (2004) Program in Agrarian Studies, Yale University, Program Fellow (2004-2005) As Director of Graduate Studies in Religious Studies, Professor Leve mentors graduate students and teaches courses on ethnographic methodologies, Theravada Buddhism, Himalayan Buddhism, and topical theories reflecting her research interests. She has consulted on research studies in international development, focusing on women's literacy and empowerment, and provides expert witness services in US courts. Her current research projects explore the globalization of Buddhist meditation through the Goenka tradition and follow rural women's experiences through development projects, Maoist insurrection, and conversion to Christianity.
Monica Bell is a tenured Professor of Law and Associate Professor of Sociology at Yale University, holding joint appointments across Yale Law School and the Department of Sociology. Her office is located at 127 Wall Street, New Haven, CT. As the first Black woman to serve as a junior faculty member and the second Black woman to receive tenure at Yale Law School, she is deeply committed to advancing diversity in academia. Education: B.A. in Political Science and Sociology, Furman University (Truman Scholar) M.Sc. in Equality Studies, University College Dublin (Mitchell Scholar) J.D., Yale Law School Ph.D. in Sociology and Social Policy, Harvard University Bell's research examines structural inequality through interdisciplinary lenses, focusing on policing, legal estrangement, housing segregation, welfare policy, and racial-spatial dynamics. She employs qualitative methodologies to analyze how marginalized communities experience legal institutions, with emphasis on urban poverty and systemic exclusion. Her conceptual framework of 'legal estrangement' redefines understandings of community-law enforcement relationships. Her publications consistently engage with themes of racial justice, institutional reform, and community agency. Recent work demonstrates a strong focus on reimagining policing systems, analyzing residential segregation patterns, and developing democratic approaches to poverty governance. Articles frequently intersect law, sociology, and urban studies while incorporating critical race theory. Awards and Honors: Jane Addams Article Award (American Sociological Association) Derrick A. Bell, Jr. Award (AALS) Yale Law Women Faculty Excellence Award Russell Sage Foundation Visiting Scholar Fellowship Truman Scholarship & Mitchell Scholarship Bell teaches Constitutional Law and Law & Sociology, exploring governmental power structures and sociological applications to legal analysis. She previously clerked for Judge Cameron McGowan Currie (U.S. District Court) and served as an Arthur Liman Fellow at Legal Aid Society of D.C., focusing on TANF policy. No current grants, labs, or student advisees are detailed in available materials.
Juliette Pattinson is Professor of War Studies at King's College London, where she researches gender, cultural memory, and personal testimonies of war. An AdvanceHE Chair of Athena Swan, she previously held leadership positions at the University of Kent including Director of Arts and Humanities. Pattinson's work examines gender dynamics in conflict, particularly during the Second World War. She investigates resistance movements, civilian masculinities, and cultural representations of war. Her research employs oral history methodologies to analyze lived experiences of conflict. Current projects include the First Aid Nursing Yeomanry in the Second World War and cultural representations of civilian men in the First World War. Her publications demonstrate consistent focus on gender analysis of war experiences and memory construction.
André Bardow is a Full Professor at the Department of Mechanical and Process Engineering, ETH Zürich. His research focuses on energy systems optimization, life cycle assessment, computer-aided molecular design, and CO2 capture/utilization. Professor (ETH Zürich, 2020–present) Head of Institute of Technical Thermodynamics (RWTH Aachen University, 2010–2020) Visiting Professor (University of California, Santa Barbara, 2015/16) Part-time Director (Forschungszentrum Jülich, 2017–2022) Associate Professor (TU Delft, 2007–2010) Research Interests: His work spans energy and process systems engineering, with emphasis on sustainable technologies. Key areas include: Computer-aided molecular and process design Machine learning for chemical engineering Carbon capture and utilization (CCU) Life cycle assessment (LCA) of industrial processes Thermo-economic modeling of energy systems Multiphase equilibrium analysis Publication Trends: Recent articles focus on integrating machine learning with process design, optimizing CO2 capture in steel production, and advancing electrochemical cooling technologies. Subfields include sustainable plastics, ORC working fluids, and solvent mixture design. Scientific Awards: Fellow of the Royal Chemical Society Recent Innovative Contribution Award (EFCE, 2019) PSE Model-Based Innovation Prize (2018) Covestro Science Award (first recipient) Arnold-Eucken-Award (VDI-GVC) Highly Cited Researcher (Clarivate, 2024) Advising and Grants: Professor Bardow mentors students in process optimization and leads projects like Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (Grant 101036854, EC).
Vincent E. Price serves as President of Duke University and holds the Walter Hines Page Distinguished Professorship in Public Policy and Political Science. He is a Professor of Public Policy in the Sanford School of Public Policy and Professor of Political Science at Duke University. Dr. Price earned his Ph.D. from Stanford University in 1987, an M.A. from Stanford in 1985, and a B.A. from Santa Clara University in 1979. His academic background forms the foundation for his leadership in higher education policy and university administration. Price's research interests center on public policy, political science, and higher education leadership. His work examines university strategic planning, innovation policy, and the role of research universities in society. As president, he has focused on developing Duke's strategic vision for its second century, emphasizing a 'people-first' approach to institutional investment that prioritizes faculty, students, and staff over physical infrastructure. His recent publications and speeches address critical issues facing higher education, including innovation policy, research funding, university governance, and the future of academic institutions. Price has been particularly active in advocating for full funding of the CHIPS and Science Act to strengthen American leadership in critical technology fields. Member, American Academy of Arts & Sciences (2020) President Price has been actively involved in guiding Duke through significant challenges, including the pandemic, while advancing strategic initiatives in faculty recruitment, student financial aid, campus sustainability, and anti-racism efforts. He chairs the ACC Board of Directors and has overseen Duke's expansion of global partnerships, including Duke Kunshan University in China. His leadership emphasizes community building, strategic investment in people, and preparing Duke for its second century of impact.
Sir Paul Collier is Professor of Economics and Public Policy at the Blavatnik School of Government, University of Oxford, and serves as the Oxford Academic Director of the International Growth Centre, a collaboration between the LSE and Oxford Universities. He is also a member of the Natural Resource Governance Institute Board. His academic work spans decades of research focused on economic development challenges in the world's poorest regions, bridging theoretical economics with practical policy solutions, particularly in contexts of conflict, natural resource management, and regional economic decline. Professor Collier's research interests center on economic development, with specific focus areas including: Mitigating the challenges of migration and the refugee crisis Understanding urbanization processes in low-income countries Addressing the political economy of resource-rich but economically poor nations Exploring how cultural factors influence economic outcomes Developing frameworks for regional renewal in neglected places Analyzing the relationship between democracy and economic development in fragile states His recent publications reveal a consistent focus on the intersection of economic policy, social cohesion, and cultural dimensions in development contexts. Collier's work increasingly emphasizes the importance of collective learning, social capital, and local agency in reversing economic decline, moving beyond traditional market-centric approaches. Among his notable scientific contributions are: Handesblatt Prize for The Future of Capitalism Arthur Ross Prize for The Bottom Billion Adam Smith Prize by Glasgow's Philosophical Society (2023) Global Citizenship Award by Belgium's cooperative movement (2018) 2025 Axiom Business Book Award for Left Behind Professor Collier actively advises governments and international organizations on development policy, with particular emphasis on practical approaches to regional renewal. His current research project "Establishing state legitimacy and effectiveness in fragile and conflict-affected societies," funded by a British Academy Grant, examines how conflict-affected states can build functional governance capacity. He has also contributed to Oxford University's first MOOC "From poverty to prosperity: understanding economic development," making his expertise accessible globally.
Dr. Prerna Arora is Associate Professor of Psychology and Education at Teachers College, Columbia University, within the Graduate School of Education, Health & Psychology and the Department of Health Studies & Applied Educational Psychology. She directs the School Mental Health for Minoritized Youth and Families (SMILE) Research Lab, where she leads innovative research on mental health equity for immigrant-origin, racial and ethnic minoritized, and historically marginalized youth. Ph.D. in School Psychology – University of Texas at Austin M.A. in Educational Psychology – University of Texas at Austin B.S. in Biology – Arizona State University Predoctoral Internship – Children’s Hospital of Philadelphia Postdoctoral Training – University of Maryland School of Medicine Dr. Arora’s research focuses on culturally tailored mental health interventions, school-based services, barriers to care, and trauma-informed, equity-driven practices. Her work is grounded in participatory action research and mixed methods, aiming to bridge research-practice gaps and empower communities. She has led major funded projects from the Spencer Foundation, National Institute of Mental Health (NIMH), and the U.S. Department of Education, including a $4.9 million grant to train clinicians in culturally responsive services. Her recent publications reflect a strong thematic focus on mental health disparities, cultural adaptation of interventions, school climate, and help-seeking behaviors among AAPI, Latino/a, and immigrant youth. The body of work demonstrates a commitment to advancing equity, social justice, and measurement-based care in school psychology. American Psychological Association Minority Fellowship Program Spencer Foundation Research Grant NIMH Funding U.S. Department of Education OSEP Grant ($4.9 million) Dr. Arora actively mentors PhD and graduate students, many of whom co-author her publications. She has secured major grants that support training, research, and community partnerships. Her leadership extends to editorial roles as Associate Editor of School Mental Health and Consulting Editor of School Psychology Review , and she is a vocal advocate for diversity, equity, and inclusion in academic training and practice. She collaborates extensively with NYC-based organizations, building community-driven research models through the SMILE Lab.
Joachim Weickert is a Professor of Mathematics and Computer Science at Saarland University where he heads the Mathematical Image Analysis Group since 2001. He received his diploma and Ph.D. in mathematics from the University of Kaiserslautern (1991, 1996), and a habilitation degree in computer science from the University of Mannheim (2001). Prior to his current position, he worked as a research assistant at the University of Kaiserslautern, as a post-doctoral researcher at the universities of Utrecht and Copenhagen, and as an assistant professor at the University of Mannheim. His research focuses on image processing, computer vision, and scientific computing, with special emphasis on techniques based on partial differential equations, variational principles, wavelets, morphological and nonlocal methods, as well as neuroexplicit approaches. He has developed mathematical models and efficient numerical algorithms for image restoration, enhancement, segmentation, compression, optic flow computation, stereo reconstruction, shape from shading, and signal processing methods for tensor fields. These ideas have been successfully applied in industry, biomedical image analysis, and other fields. Analysis of his recent publications reveals a strong trend toward combining traditional PDE-based methods with modern deep learning approaches, particularly in the areas of image inpainting and compression. His work increasingly explores the connections between numerical algorithms for partial differential equations and neural network architectures, demonstrating how mathematical foundations can inform cutting-edge AI techniques while maintaining strong theoretical guarantees. Gottfried Wilhelm Leibniz Prize (2010), considered the most important research award in Germany ERC Advanced Grant (2017) for "Inpainting-based Compression of Visual Data" Elected member of Academia Europaea - The Academy of Europe Jan Koenderink Prize for Fundamental Contributions in Computer Vision (2014) Multiple DAGM Prizes and Best Paper Awards throughout his career AAIA Fellow (2021) and Highly Ranked Scholar (2024) distinctions Professor Weickert has supervised over 250 bachelor's and master's theses and initiated the Master Programme in Visual Computing at Saarland University, the first of its kind in Germany taught in English. He has established numerous interdisciplinary collaborations with colleagues from medicine, bioinformatics, pharmacy, physics, mechatronics, and mechanical engineering. As Principal Investigator for Visual Computing within the Multimodal Computing and Interaction Cluster of Excellence, and former dean of the Faculty of Mathematics and Computer Science (2008-2010), he has played a significant leadership role in advancing visual computing research and education. He heads the Mathematical Image Analysis Group, which has been at the forefront of developing mathematical methods for image analysis. The group maintains strong connections with both theoretical mathematics and practical applications, bridging the gap between fundamental research and real-world implementation across various domains including medical imaging, industrial inspection, and multimedia processing.
Dr. Karen Cochrane is an Assistant Professor at the University of Waterloo, specializing in Human-Computer Interaction (HCI) with a focus on wearable and tangible computing for mental health and accessibility. Her research integrates soma design, autoethnography, and design fiction to address the needs of underrepresented communities, particularly those with disabilities. Key projects include developing assistive technologies for queer/crip identities, accessible gaming wearables, and tactile interfaces for sensory exploration. She explores embodied experiences through multidisciplinary approaches, blending traditional craft practices with modern computational tools. Her work prioritizes participatory design methodologies, collaborating with occupational therapists, disabled communities, and neurodivergent individuals to co-create inclusive technologies. Recent innovations include VARitouch (a haptic feedback device), Breathing Scarf (for emotional regulation), and adaptive switches for children with motor disabilities. Her research extends into sensory narratives, exploring how fabric and data can articulate bodily experiences through projects like Sensory Data Dialogues and Queer/Crip Body Mapping. While no formal grants or awards are listed, her publications reflect a strong focus on ethical technology, accessibility, and embodied interaction. Current projects emphasize the intersection of wearable tech with identity expression, mindfulness practices, and neuromotor rehabilitation. She actively designs prototypes that bridge clinical needs with creative technology solutions, though specific lab affiliations or team collaborations are not detailed in available texts.
Benjamin Grimmer is an Assistant Professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University. He is affiliated with the Mathematical Institute for Data Science (MINDS) and the Data Science & AI Institute. His research focuses on designing and analyzing algorithms for continuous optimization, particularly in nonconvex, nonsmooth, and adversarial settings. Grimmer’s work bridges classical optimization theory and modern machine learning challenges, leveraging computer-assisted proof techniques to advance algorithmic foundations. He earned his PhD in Operations Research from Cornell University, advised by Jim Renegar and Damek Davis. His doctoral work was supported by a National Science Foundation fellowship. Grimmer has held research positions at Google and the Simons Institute, exploring adversarial optimization and continuous-discrete optimization interfaces. His current work is supported by the Air Force Office of Scientific Research and a 2024 Alfred P. Sloan Fellowship. Research interests include algorithm design for stochastic/nonconvex/nonsmooth optimization, computer-aided proof methods, and meta-optimization tools like stepsize schedules. His recent studies, including work on gradient descent acceleration via long steps, were highlighted in Quanta Magazine (2023). Education: PhD in Operations Research, Cornell University (advisor: Jim Renegar and Damek Davis) Awards: Alfred P. Sloan Fellowship in Mathematics (2024) National Science Foundation Graduate Fellowship (PhD support) Dr. Grimmer advises a research group including PhD candidates Ning Liu, Thabo Samakhoana, Alan Luner, Yue Wu, and others. His lab explores optimization algorithms through both theoretical and applied lenses, collaborating closely with industry and academic partners.
