Xenophon Papademetris is a Professor of Biomedical Informatics & Data Science and Radiology & Biomedical Imaging at Yale School of Medicine. He serves as Associate Director of Biomedical Imaging Data Sciences at Yale Biomedical Imaging Institute and directs the Medical Software and Medical Artificial Intelligence Certificate Program. PhD in Electrical and Information Sciences from Yale University (2000) BA from Cambridge University (1994) Postdoctoral Fellowship at Yale University (2002) His research focuses on medical image analysis, machine learning, and biomedical software development. He has developed tools like BioImage Suite Web and contributed to standards committees at the Association for the Advancement of Medical Instrumentation (AAMI). His work spans modalities including MRI, CT, PET, and optical imaging. Recent publications emphasize neuroimaging analysis, explainable AI in healthcare, and multimodal data integration across species. He leads NIH-funded research under the BRAIN Initiative (R24 MH114805) and has authored a textbook on Medical Software published by Cambridge University Press. IEEE Senior Member Yale Brown-Coxe Postdoctoral Fellowship Harding Bliss Prize for Excellence in Engineering He directs the BioImage Suite Project, creating web-based image analysis tools using JavaScript and WebAssembly. His teaching includes both academic courses and a Coursera program on Medical Software with over 14,000 enrollments.
Dr. Xue Dong (Sarah Dong) serves as a Research Fellow at the Arndt-Corden Department of Economics within the Crawford School of Public Policy at the Australian National University. Her work focuses on Indonesian socio-economic development, particularly labor markets, gender equality, and policy interventions in education and business formalization. Education: PhD in Economics from the University of Western Ontario Research Focus: Dr. Dong employs empirical methods including randomized controlled trials to investigate electoral impacts on public spending, financial aid accessibility for low-income students, and microenterprise registration barriers. Her fingerprint analysis reveals 100% concentration on Indonesian contexts with strong emphasis on labor markets (90%) and gender equality (71%). Publication Trends: Recent outputs (2023-2025) demonstrate methodological rigor in causal analysis of policy reforms, with consistent regional specialization in Indonesia. Her work bridges academic research and practical development solutions through partnerships with Indonesian institutions. Project Leadership: As Co-Investigator on three major grants, she examines corporate social responsibility in emerging economies (2022-2026), tax registration for MSMEs (2018-2020), and foreign aid effectiveness (2016-2021). These projects involve multi-institutional collaborations across Australia and Indonesia. Academic Service: Registered to supervise graduate students at ANU, she contributes to gender equality discourse through editorial work including the 2023 ISEAS-Yusof Ishak Institute publication on Indonesian gender dynamics.
Dr. Margaret Elizabeth Kruk is a Professor of Health Systems at the Harvard T.H. Chan School of Public Health, part of Harvard University. She previously held roles as Associate Professor at Columbia University and Assistant Professor at the University of Michigan. Her research focuses on improving health system quality in low-income countries, using implementation science and econometric methods to evaluate large-scale reforms. She chairs the Lancet Global Health Commission on High Quality Health Systems in the SDG Era and directs the QuEST Network, a multi-country initiative to enhance health systems globally. Education: MD from McMaster University, MPH from Harvard University. Affiliations: Director of QuEST Centers and Network, former roles at UNDP and McKinsey & Company. Her research interests span healthcare quality measurement, maternal and newborn health, and policy solutions for systemic deficits. Key projects include the People’s Voice Survey on health system performance and mobile phone eCohorts for tracking care quality in LMICs. Publications highlight maternal health outcomes, vaccination decision-making, and health system confidence across countries. Grants include NIH funding for maternal-newborn health integration with HIV programs in Tanzania. Twitter: @mkruk
F. Levent Degertekin is a Regents' Entrepreneur and the George W. Woodruff Chair in Mechanical Systems and Professor at the George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His office is located in Love Building, room 311B, and his contact email is levent.degertekin@me.gatech.edu. Dr. Degertekin's academic journey includes a Ph.D. in Electrical Engineering from Stanford University (1997), an M.S. in Electrical Engineering from Bilkent University, Turkey (1991), and a B.S. in Electrical Engineering from Middle East Technical University, Turkey (1989). Dr. Degertekin's research focuses on micromachined ultrasonic devices and systems for medical applications, particularly in intravascular ultrasound imaging, therapeutic ultrasound, and acousto-optical sensors for MRI. His work spans from fundamental research on novel transduction methods to complete catheter-based imaging systems close to commercialization. He has made significant contributions to capacitive micromachined ultrasonic transducers (CMUTs), developing diffraction grating based optomechanical sensing methods now commercialized by Silicon Audio, novel atomic force microscopy imaging probes, and micromachined ultrasonic ejector structures for cell transfection commercialized by OpenCell Technologies. His research integrates acoustics, optics, and their combinations for various medical applications, utilizing conventional microfabrication (MEMS) and integrated circuit technologies. The Degertekin lab exposes students to applied physics, electrical, mechanical and biomedical engineering, biology, and biomimetic systems, providing them with thorough theoretical and experimental education in acoustics and optics while learning interdisciplinary research. Dr. Degertekin's work has received significant media attention, including coverage in IEEE Spectrum, Wired Magazine, The New York Times, and Fox Business News, highlighting innovations such as handheld ultrasound probes, MRI safety sensors, and minimally invasive cardiac imaging technologies. IEEE Fellow for 'Contributions to micromachined ultrasonic and optomechanical transducers and systems,' 2022 IEEE UFFC Society Inaugural Carl Hellmuth Hertz Ultrasonic Achievement Award, 2014 George W. Woodruff School Outstanding Achievement in Commercialization and Entrepreneurship Award, 2024 National Science Foundation CAREER Award, 2004-2009 Whitaker Foundation Biomedical Engineering Research Grant Award, 2001 66 US and 6 International Patents Dr. Degertekin has mentored numerous students who have gone on to make significant contributions in the field. Several of his students have received IEEE Ultrasonics Symposium Best Student Paper Awards, including Jeff McLean (2003), Sheng-Yu Peng (2006), Rasim O. Guldiken (2005 and 2007), and Toby Xu (2014). His research has been supported by various grants including the NSF CAREER Award and Whitaker Foundation grant. His work has led to multiple commercial ventures including Silicon Audio and OpenCell Technologies. The Degertekin Group at Georgia Tech focuses on transducers and systems for medical imaging and sensing, with current projects including capacitive parametric transducers, acousto-optic sensors for MRI, novel transducer methods for focused ultrasound in the brain, microsystems for intravascular and intracardiac ultrasound imaging, and CMUT-on-CMOS systems for IVUS imaging.
Orly Linovski is an Associate Professor in the Department of City Planning at the University of Manitoba’s Faculty of Architecture. Her work bridges professional planning practice, political processes, and urban space, emphasizing equity and justice. She holds a PhD from UCLA and advanced degrees from the University of Toronto and McGill University. Education: PhD (Urban Planning), University of California, Los Angeles M.Sc. (Urban Planning), University of Toronto B.A. (Geography/Urban Systems), McGill University Research focuses on transportation equity, private sector consulting roles, and municipal governance. Notable themes include equity in transit planning, professional practice dynamics in publicly traded firms, and participatory engagement strategies. Her work has been funded by SSHRC, MITACS, and the Centre for Professional and Applied Ethics. Teaching includes courses like Transportation and Urban Form (ARCG 7080) and Planning Research Methods (CITY 7020). She supervises students exploring transportation equity, professional planning practice, or privatization in planning, particularly with GIS or qualitative methods. Grants and Awards: Her research has been supported by SSHRC, MITACS, and other institutions. Collaborations include projects like the SSHRC-funded study on transit equity for marginalized groups in Canada. Labs/Teams: Active in the Manitoba Professional Planners Institute and as a Registered Professional Planner. Engaged in community-based research through partnerships highlighted in her SSHRC-funded projects.
Dr. Natalie Simpson is Professor and Associate Dean for Graduate Programs at the University at Buffalo's School of Management, Department of Operations Management and Strategy. She holds a PhD and MBA from the University of Florida, and a BFA from North Carolina School of the Arts. Her research explores emergency response systems , supply chain logistics , and educational technology , with particular focus on operational challenges in crisis management. She investigates hyper-project coordination in emergency contexts and resource allocation frameworks for incident commanders. Simpson's scholarly contributions show strong emphasis on: Modeling emergency response operations and supply chain vulnerabilities Developing pedagogical innovations for operations management education Analyzing healthcare workflow efficiency and disaster management systems Her extensive recognition includes: Decision Sciences Institute's Best Case Studies Award (2005) National Instructional Innovation Award (2004) SUNY Chancellor's Award for Excellence in Teaching (2002) Grinter Fellowship and Matherly Scholarship As Academic Director of Digital Access Education, she leads technology-enhanced learning initiatives and advises graduate programs. Administrative responsibilities include heading the Digital Access Working Group and serving on editorial boards for Decision Sciences.
Professor Graham Sander is a Professor of Hydrology at Loughborough University, affiliated with the School of Civil and Building Engineering. His research focuses on mathematical modeling of soil erosion, unsaturated soil flow, contaminant transport dynamics, and nonlinear diffusion-convection equations. He leads the NERC-funded project on multi-dimensional soil erosion and chemical transport, collaborating with Lancaster University’s Department of Environmental Science. His academic qualifications include a BSc (Hons) and PhD. Recent research emphasizes integrating particle size-selective models to predict sediment and contaminant delivery to water bodies, supported by lab and field experiments. He has also pioneered pseudospectral methods for infiltration modeling and explored flood risk management through nature-based solutions like leaky barriers. Key contributions include advancing understanding of rainfall-driven erosion dynamics, including splash effects and rock fragment coverage impacts. His work spans experimental hydrology, numerical simulation, and interdisciplinary approaches to environmental challenges. He co-edits hydrology journals and advocates for rigorous scientific communication in the field. Grants: NERC-funded soil erosion project, Australian Research Council project on unsaturated soil flow. Labs/Teams: Collaborator with Lancaster University’s Environmental Science Department.
Dr Sumeet Jain is a Senior Lecturer at the University of Edinburgh, affiliated with the School of Social and Political Science (Social Work). His interdisciplinary research focuses on community mental health in low-income contexts, cultural psychiatry, ethnography, and global mental health policy, with regional expertise in South Asia. He has led projects funded by ESRC, Carnegie Trust, British Academy, Wellcome Trust, DFID, and World Bank, including studies on recovery-oriented mental health in India, poverty-mental health linkages, and evaluation of Scotland's alcohol/drug referral services. Research Interests: Community mental health systems in low-resource settings Critical analysis of psychiatric categories and local distress Qualitative/ethnographic evaluation of health programs Training of social workers in non-western mental health Global mental health policy and equity Publication Trends: Recent works emphasize participatory interventions, mutuality in mental health, caste identities, and critiques of scaling-up global mental health initiatives. His research spans South Asia, Malawi, Ghana, and the UK, blending sociocultural perspectives with public health outcomes. Scientific Awards: ESRC-Impact Accelerator Award Carnegie Trust funding for community mental health in India British Academy collaboration on caste and distress Wellcome Trust grant for London health inequalities study DFID/World Bank funding for poverty-stigma-mental illness research Dr Jain supervises postgraduate research in Global Mental Health and Social Work, contributes to undergraduate and postgraduate teaching, and co-edited The Palgrave Handbook of Sociocultural Perspectives on Global Mental Health (2017).
Stuart Hargreaves is an Associate Professor at the Faculty of Law , The Chinese University of Hong Kong . His research focuses on information and privacy law and constitutional law and legal theory , reflecting his prior legal practice and academic background. Education: SJD, University of Toronto (2013) BCL, Oxford University (2008) JD, Osgoode Hall Law School (2006) BA in Politics & Sociology, McGill University (2000) His work examines the intersection of artificial intelligence and legal education , with projects like “Teaching Avatars” using AI for educational content creation. He also investigates surveillance technologies , privacy law , and constitutional rights in the context of Hong Kong’s political and legal environment. Scientific Awards and Grants: CUHK Teaching Excellence Award (2017) CUHK Direct Grant for Research University Grants Committee Teaching Development Grant Research Grants Council General Research Fund Joseph-Armand Bombardier Canada Graduate Scholarship Google Policy Fellowship He has contributed to AI in legal pedagogy through multiple conference presentations (e.g., “Teaching Avatars” at the 2024 CUHK Teaching & Learning Innovation Expo) and serves on the Board of Advisors for Teach for Hong Kong . His external roles include journal reviewing and LAWASIA membership.
Prof. Dr. Urs F. Greber is an Ordinary Professor of Molecular Cell Biology at the Department of Molecular Life Sciences, Faculty of Mathematics and Natural Sciences, University of Zurich. His research focuses on understanding how viruses interact with host cells, particularly adenoviruses and rhinoviruses that cause human respiratory diseases. He leads the Greber Lab, which investigates viral entry mechanisms, replication processes, and the cellular responses to infection. Greber's research interests span virology, molecular cell biology, and infection mechanisms. His lab explores how viruses take control over membrane and lipid functions, cytoplasmic transport processes, and cellular metabolism to support their gene expression and progeny formation. They employ system-wide profiling, molecular cell biology approaches, light microscopy, and machine learning for image analysis to map the cell state underlying viral infections of cultured and primary human cells, including lung organoids and iPSC-derived macrophages. A key focus is understanding cell-to-cell variability in infection phenotypes and the mode-of-action of antiviral compounds. The Greber Lab has published extensively on adenovirus biology, including viral entry, uncoating, nuclear import, and assembly mechanisms. Their recent work has identified broad-spectrum antiviral compounds, elucidated alternative virus entry pathways, and developed innovative imaging and AI-based approaches for quantifying virus infectivity. Their research contributes to understanding how viruses break down host defense barriers and has implications for antiviral therapy development. Greber has supervised numerous PhD and Master's students including Cornelia Bircher, Alessandro Savi, Franziska Tomas, Alfonso Gomez-Gonzalez, Anthony Petkidis, and Dominik Olszewski. His lab has received funding from the Swiss National Science Foundation, including a grant for coronavirus research during the pandemic. The lab actively collaborates with other research groups at University of Zurich, ETH Zurich, and international institutions. Current projects include exploring how viral DNA interactions contribute to infection outcome variability, investigating adenovirus egress mechanisms, and developing high-throughput screening methods for antiviral compounds.
Lande Liu is a Senior Lecturer in Chemical Engineering at the University of Huddersfield's School of Applied Sciences. Previously, he held a Lectureship at the University of Manchester (2010-2014), and earlier worked as an industrial consultant and research fellow at Leeds and Sheffield Universities. His academic journey began with a MEng in Chemical Engineering and a PhD in kinetic theory of aggregation from Sheffield (2004), preceded by a visiting PhD at Twente University (2002). Education: PhD in Chemical Engineering (University of Sheffield, 2004) Visiting PhD (Twente University, 2002) MEng in Chemical Engineering (Tsinghua University, 1999) BSc in Applied Mathematics (Tsinghua University, 1996) Liu's research focuses on multi-scale particle interactions (molecular to granular) using kinetic theory of aggregation, with applications spanning nanotechnology, pharmaceutical engineering, and sustainable chemical processes. His work aligns with UN Sustainable Development Goals for environmental protection and industrial innovation. Recent publications examine particle deposition in turbulent flows, enhanced heat exchanger designs, and nanofluid stabilization techniques. He teaches core chemical engineering topics including transport phenomena, unit operations, and process design. Active in collaborative research, Liu has partnered with institutions across Europe on projects involving spectroscopy, ultrasonics, and dynamic modeling. His technical expertise includes particle size analysis, tomography, and computational simulation of complex systems.
David Juncker is a Professor and Department Chair of the Department of Biomedical Engineering at McGill University. He serves as a Principal Investigator at the McGill University & Genome Quebec Innovation Centre and holds associate memberships in the Department of Neurology and Neurosurgery, Department of Electrical and Computer Engineering, Division of Experimental Medicine, Department of Surgery, and Goodman Cancer Research Centre. His research focuses on micro- and nano-bioengineering technologies for bioanalysis, precision medicine, and organs-on-chips. Key areas include microfluidics, lab-on-a-chip devices, biomedical sensors, medical diagnostics, biomaterials, tissue engineering, and cancer biomarker discovery. His lab develops scalable antibody microarrays, self-powered diagnostic platforms, microfluidic probes for brain tissue perfusion, and nanogradients for neuronal navigation, with applications in cancer diagnostics, global health, and neuroscience. Recent publications (2023-2025) reveal strong emphasis on extracellular vesicle analysis, single-cell proteomics, 3D-printed microfluidic/organ-on-a-chip systems, and capillary-driven circuits. Key trends include low-cost point-of-care diagnostics, advanced circulating tumor cell isolation methods, and biomimetic synthetic vesicles for drug delivery, demonstrating translational potential in early disease detection. Dr. Juncker leads a highly interdisciplinary team comprising undergraduate and graduate students, post-doctoral fellows, and staff from diverse scientific, engineering, and cultural backgrounds. His lab actively recruits Canadian/permanent resident graduate students for projects on single extracellular vesicle and protein detection in cancer and infectious diseases, leveraging microfluidics and wearables for biomarker discovery. The Juncker Lab operates from the McGill University & Genome Quebec Innovation Centre (740 Dr. Penfield Avenue, Room 6206). It maintains a collaborative, multicultural environment focused on developing transformative micro- and nano-bioengineering technologies with significant potential impact on human health diagnostics and treatment.
Aji Mathew is a Professor at the Department of Materials and Environmental Chemistry, Stockholm University. He holds a PhD in polymer chemistry from Mahatma Gandhi University (2001) and conducted postdoctoral research at CERMAV (Grenoble, France) and NTNU (Trondheim, Norway). His academic career includes roles as an assistant professor (2007–2011) and associate professor (2011–2015) at Luleå University of Technology before becoming an associate professor (2015) and subsequently a professor (2017) at Stockholm University. His research focuses on bio-based nanocomposites and sustainable materials, particularly nanocellulose and its applications in environmental remediation, advanced materials, and circular economy solutions. His group, the Aji Mathew Group , specializes in designing bio-based materials for diverse applications, including water treatment, 3D printing, and biomedical uses. Key projects involve upcycling textile waste, developing eco-friendly composites, and creating functional hydrogels. His work bridges fundamental polymer chemistry with practical sustainability challenges. Publications highlight innovations like nanocellulose-based foams, zeolitic frameworks for water purification, and bio-based coatings. While no awards are explicitly mentioned, his extensive peer-reviewed contributions reflect significant scholarly impact. His research emphasizes scalability and real-world applicability, addressing global environmental and material science challenges.
Olof Bälter is a Professor in Computer Science at KTH Royal Institute of Technology, affiliated with the Division of Media Technology and Interaction Design within the School of Electrical Engineering and Computer Science. He is the founder of the Technology-Enhanced Learning research group and holds a focus on learning engineering and human-computer interaction. His research interests center on technology-enhanced learning , question-based learning , learning analytics , AI in education , and inclusive pedagogy . A consistent theme in his work is improving efficiency in education and daily life through digital tools. He developed the Pure Question-Based Learning (Pure QBL) methodology, a digital Socratic approach that enhances student engagement and learning outcomes. His work extends to wellness in education through initiatives like walking seminars, and he investigates digital interventions for mental health, such as online Cognitive Behavioral Therapy (CBT) courses. His recent publications highlight trends in AI-generated educational content , learning efficiency , digital pedagogy , and inclusive course design , with applications in computer science education, language instruction, and global development. His research often employs experimental and data-driven methods, including randomized controlled trials and learning analytics. Teacher of the Year at the Surveying program KTH's Pedagogical Prize Higher Education Hero STINT Excellence in Teaching Scholarship (2008 and 2013) Olof Bälter has supervised numerous courses in programming, computer science, media technology, and learning engineering. He has collaborated with institutions such as Stanford University, Williams College, Region Stockholm, Stockholm University, and organizations like Promobilia and Begripsam. His projects aim to scale effective learning methods globally and make education more accessible and efficient. He leads research on the effectiveness of Pure QBL for students with ADHD and is involved in developing digital tools for health literacy and professional development in Ethiopia and Rwanda. His work bridges theory and practice, aiming to transform educational delivery through innovation and evidence-based design.
Rayadurgam Srikant is the Fredric G. and Elizabeth H. Nearing Endowed Professor of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign, affiliated with the Coordinated Science Lab. He co-directs the C3.ai Digital Transformation Institute, focusing on AI-driven solutions for global challenges. His research spans machine learning, communication networks, stochastic systems, and game theory. Srikant has authored influential textbooks including Communication Networks: An Optimization, Control and Stochastic Networks Perspective . He holds IEEE Fellow status and has received prestigious awards like the ACM SIGMETRICS Achievement Award (2021) and IEEE Koji Kobayashi Award (2019). Over 20 of his advisees hold faculty positions globally. Education: PhD (1991), MS (1988) in Electrical Engineering from UIUC; B.Tech (1985) from IIT Madras. He has taught advanced courses on optimization, stochastic systems, and game theory. His work bridges theory and practice, with contributions to congestion control, cloud computing, and reinforcement learning. Current projects include AI applications for pandemic response and digital transformation initiatives. Research highlights include foundational work on Lyapunov drift methods for network stability and distributed algorithms. He serves as Area Editor for Mathematics of Operations Research and has led editorial roles for IEEE/ACM Transactions on Networking. His lab collaborates with industry leaders like Microsoft and C3.ai, leveraging supercomputing resources for societal impact.
