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Robert F. SavinellView profile

Professor

• Electrochemical Engineering
• Energy Conversion
• Energy Storage
• +3 more

Robert F. Savinell is a Distinguished University Professor and George S. Dively Professor of Engineering at Case Western Reserve University's Department of Chemical and Biomolecular Engineering. He has held leadership roles including Director of the Ernest B. Yeager Center for Electrochemical Sciences (10 years) and Dean of Engineering (7 years). His research focuses on electrochemical solutions for energy conversion/storage, with emphases on flow batteries, electrochemical capacitors, and advanced materials. He serves as Editor-in-Chief of the Journal of the Electrochemical Society and holds fellowships from the Electrochemical Society, American Institute of Chemical Engineers, and International Society of Electrochemistry. Education: BS in Chemical Engineering (Cleveland State University, 1974), MS (University of Pittsburgh, 1974), PhD (University of Pittsburgh, 1977). Research Highlights: Current projects include novel electrode structures for hybrid flow batteries, slurry electrode conductivity, and high-temperature polymer electrolytes. Over 40 years of R&D in electrochemical engineering have produced breakthroughs in energy storage systems. Awards: 2022 Vittorio De Nora Award (Electrochemical Society), 2020 Frank and Dorothy Humel Prize (CWRU), 2018 DOE EFRC grant (BEES program). Grants/Advising: Directs the Breakthrough Electrolytes for Energy Storage (BEES) EFRC. Advises on projects spanning fundamental electrochemistry to commercial applications. Active in cross-institutional collaborations. Labs/Teams: Leads the Yeager Center for Electrochemical Sciences and collaborates with MIT, Denmark Technical University, and Yamanashi University through visiting professorships.

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +7 more

Emanuele (Manuel) Trucco is a Professor of Computing and holds the NRP Chair of Computational Vision in the School of Science and Engineering at the University of Dundee. He is also an Honorary Clinical Researcher at NHS Tayside and previously served as an Adjunct Professor at the Chinese Academy of Sciences (2018–2021). His research is centered on computational vision and medical image analysis, particularly in retinal imaging and its applications in systemic disease detection. PhD, Electronic Engineering, University of Genoa (1990) MSc, Electronic Engineering, University of Genoa (1984) Manuel Trucco's research focuses on computer vision and medical image analysis , with a strong emphasis on retinal image analysis for early detection of diseases such as diabetes, cardiovascular conditions, stroke, dementia, and neurodegenerative disorders. He co-directs the VAMPIRE (Vessel Assessment and Measurement Platform for Images of the Retina) initiative, a collaborative effort between the Universities of Dundee and Edinburgh. This platform enables automated, multi-modal analysis of retinal images and has been used in biomarker studies across the UK and internationally. His work integrates deep learning , artificial intelligence , and biomedical engineering to develop non-invasive, scalable diagnostic tools. Industrial collaborations include Canon Medical, OPTOS plc, NIDEK, and Epipole plc, while institutional partners include the Royal College of Ophthalmologists and the UK Biobank Eye and Vision Consortium. Recent publications highlight a strong trend in using AI and deep learning to extract clinical insights from retinal images, including predicting cardiovascular outcomes in diabetic patients, estimating biological age, and analyzing retinal vasculature changes under physiological stress. His work bridges computer science, ophthalmology, and public health, contributing to precision medicine and health equity. His scientific contributions have been recognized through fellowships: FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Trucco has led or co-led major research projects, including a £7M NIHR grant on precision medicine for diabetes (Dundee-Chennai), a £1.1M EPSRC grant on vascular dementia biomarkers (PI), the 3M-Euro ITN "REVAMMAD", and several PhD studentships sponsored by OPTOS, NIDEK, SINAPSE, and Toshiba. He has served on the organizing and program committees of major international conferences such as MICCAI and the European Conference on Computer Vision. He is a key member of the VAMPIRE research team and the UK Biobank Eye and Vision Consortium , contributing to large-scale data analysis efforts in vision and systemic disease. His work is at the forefront of AI-driven healthcare innovation, with real-world applications in early disease detection and personalized medicine.

• Chromosome organization
• 3D genome architecture
• Chromatin structure
• +7 more

Job Dekker is a Professor holding the Joseph J. Byrne Chair in Biomedical Research at UMass Chan Medical School, where he serves as faculty across multiple departments including Systems Biology, Biochemistry and Molecular Biotechnology, and Bioinformatics and Integrative Biology. His work bridges the T.H. Chan School of Medicine and Morningside Graduate School of Biomedical Sciences, with significant contributions to understanding the three-dimensional organization of genomes. Utrecht University, Utrecht, Netherlands: MS Biology Utrecht University, Utrecht, Netherlands: PhD Physiological Chemistry Dekker's research focuses on the fundamental question of how chromosomes are organized in three-dimensional space and how this organization influences gene regulation. As a pioneer in chromosome conformation capture technologies (particularly Hi-C), his laboratory investigates long-range gene regulation, higher-order chromosome organization, and the mechanisms of chromatin folding. The lab employs a multidisciplinary approach combining cell culture, protein biochemistry, microscopy, genomics, and computational modeling to address these questions. Analysis of Dekker's recent publications reveals a continued focus on the structural principles governing chromosome organization, with particular emphasis on mitotic chromosome formation, loop extrusion mechanisms, and the role of cohesin and condensin complexes. His work spans multiple model systems and has increasingly incorporated multi-omics approaches to understand how 3D genome architecture relates to cellular function in both normal and disease states. Member, National Academy of Sciences (2022) Member, National Academy of Medicine (2021) EMBO Associate Member (2020) International Award of the Biochemical Society (2018) Novitski Prize of the Genetics Society of America (2018) Investigator, Howard Hughes Medical Institute (2015) Fellow, American Association for the Advancement of Science (2014) As Principal Investigator of the Dekker Lab within the Program in Systems Biology, Dekker has secured substantial funding including his HHMI Investigator position, which supports his research into chromosome organization. His laboratory offers multiple rotation projects for graduate students focusing on long-range gene regulation and chromosome organization using high-throughput genomics technologies. Dekker's work has been instrumental in developing and refining chromosome conformation capture techniques that are now widely used across the genomics field. The Dekker Lab is a leader in the 4D Nucleome field, contributing significantly to our understanding of how chromosomes fold in three-dimensional space and how this organization changes over time (the fourth dimension). His research group continues to push the boundaries of chromosome conformation capture technologies, developing new methodologies to investigate genome architecture at increasingly higher resolutions and across diverse biological contexts.

• Geometric Analysis
• Differential Geometry
• Partial Differential Equations
• +3 more

Haotian Wu is a Senior Lecturer in the School of Mathematics and Statistics at The University of Sydney, where he maintains an active research program in geometric analysis. His academic appointments include membership in the Geometry, Topology and Analysis Research Group, and he has been involved in organizing significant mathematical events including the AMSI Summer School 2025 and the Symposium on Geometric Analysis and Non-linear PDEs. Dr. Wu's educational background includes a PhD in Mathematics from The University of Texas at Austin (2013) and dual Bachelor's degrees in Mathematics and Physics from Lafayette College (2007). His research aligns with the University's Faculty of Science Research Strengths in Understanding the Universe, Fundamental Laws of Nature, and Complex Systems. Wu's research focuses on geometric evolution equations, particularly Ricci flow and mean curvature flow. His work investigates singularity formation, stability properties, and asymptotic behavior in these flows, with significant contributions to understanding Type-II singularities. His research bridges pure mathematics and mathematical physics, with applications to general relativity and geometric analysis. He has developed novel analytical techniques for studying nonlinear partial differential equations arising in geometric contexts. Analysis of Wu's publication record shows a consistent trajectory of high-impact research in geometric analysis, with increasing focus on numerical methods for studying geometric flows in recent years. His work demonstrates strong international collaboration, particularly with researchers in the United States, including notable collaborations with Garfinkle, Isenberg, Knopf, and Zhang. The publications reveal a progression from foundational work on Ricci flow to increasingly sophisticated analyses of mean curvature flow and related geometric evolution equations. Australian Research Council (ARC) Discovery Early Career Researcher Award (DECRA) 2018 for 'Singularity Analysis for Ricci Flow and Mean Curvature Flow' Faculty of Science Faculty Startup Scheme 2023 for 'Elliptic and parabolic problems in geometric analysis' Dr. Wu currently supervises research students including Alexander BEDNAREK (working on General Kahler Ricci Flow) and Tiernan CARTWRIGHT (working on Hölder regularity of solutions to degenerate complex Monge–Ampère equations). He has received multiple research grants supporting his work in geometric analysis. Wu has been actively involved in teaching undergraduate mathematics courses including MATH1021 Calculus of One Variable, MATH2061 Linear Mathematics and Vector Calculus, and specialized courses like MATH3968 Differential Geometry. As an active member of the mathematical community, Wu co-organizes significant research events including the AMSI Summer School 2025 and the International Conference on Nonlinear Partial Differential Equations honoring Professor Neil Trudinger's 80th birthday. His research group focuses on geometric analysis problems with connections to mathematical physics and differential geometry.

• Quantum Computation
• Computational Complexity Theory
• Quantum Physics
• +2 more

Adam Bouland is an Assistant Professor of Computer Science at Stanford University, where he leads the CS Theory Group. His research focuses on quantum computation, computational complexity theory, and their connections to physics. He completed his Ph.D. at MIT under Scott Aaronson, followed by postdoctoral research at UC Berkeley and the Simons Institute under Umesh Vazirani. His research explores fundamental questions in quantum computing including quantum complexity classes, quantum supremacy demonstrations, pseudorandom quantum states, quantum algorithm design, and connections to high-energy physics through AdS/CFT correspondence. Recent work investigates computational aspects of quantum systems, quantum learning theory, and noise resilience in quantum devices. Professor Bouland leads an active research group including 6 PhD students and 1 postdoctoral researcher, with joint appointments across Computer Science, Physics, and ICME departments. He regularly teaches graduate courses on Quantum Computation (CS259Q) and Quantum Complexity Theory (CS359D). His service includes program committee membership for major theoretical computer science conferences including FOCS, STOC, ITCS, and QIP.

• Physical Chemistry
• Inorganic Chemistry
• Nanoscience
• +9 more

Masaru K. Kuno is a Professor in the Department of Chemistry and Biochemistry and a Concurrent Professor in the Department of Physics at the University of Notre Dame. He has been a faculty member since 2003, progressing from Assistant to Associate and full Professor by 2016. His interdisciplinary research spans physical chemistry, materials science, and nanotechnology. Education: Ph.D. in Physical Chemistry, Massachusetts Institute of Technology (1998) B.A. in Chemistry, Washington University in St. Louis (1993) His research focuses on the fundamental optical and photophysical properties of low-dimensional semiconductor nanostructures. Using advanced microscopic techniques, his group conducts single nanostructure extinction and absorption studies, particularly in the mid-infrared region, enabling ultrasensitive chemical imaging. A major theme involves understanding halide photosegregation in mixed-halide perovskites for solar energy applications. Another long-term goal is achieving optical refrigeration in semiconductors through photoluminescence up-conversion. His work combines synthesis, measurement, and theory to address material instabilities and develop new spectroscopic methods. The recent publications highlight a strong focus on perovskite materials, optical cooling mechanisms, and advanced spectroscopy. The articles span topics from halide segregation dynamics to anti-Stokes photoluminescence and proton irradiation stability, reflecting a cohesive research program centered on energy materials and nanoscale phenomena. Scientific Awards: Rev. Edmund P. Joyce, C.S.C., Award for Excellence in Undergraduate Teaching (2022) Cottrell Teacher Scholar Fellowhip (2006) NSF CAREER Award (2005) National Research Council Postdoctoral Fellowship (1998) Kuno has mentored numerous graduate students and postdoctoral researchers through his active research group. His work has been supported by major grants from the NSF and other agencies, though specific grant details are not listed. He plays a significant role in training the next generation of scientists through both research supervision and undergraduate teaching excellence. The Kuno Group develops and applies cutting-edge microscopic methods for probing individual nanostructures. They specialize in single-particle infrared absorption spectroscopy and super-resolution infrared imaging. The team synthesizes low-dimensional semiconductor systems including nanowires, nanoplatelets, and quantum dots, enabling fundamental studies of material behavior at the nanoscale.

Rebecca A. WingertView profile

Associate Professor

• Developmental Biology
• Stem Cell and Regenerative Biology
• Genetics
• +9 more

Rebecca A. Wingert is the Elizabeth and Michael Gallagher Associate Professor in the Department of Biological Sciences at the University of Notre Dame, where she also serves as Director of Graduate Studies and Chair of the Institutional Animal Care and Use Committee. Her research focuses on the genetic and molecular mechanisms of renal stem cells in kidney development, regeneration, and disease. Research Interests: The Wingert Lab investigates how renal stem cells contribute to nephron formation, homeostasis, and regeneration after injury. Her work addresses fundamental questions in developmental biology, stem cell biology, and organogenesis, with implications for understanding birth defects and chronic kidney diseases. Using zebrafish models, her lab explores conserved genetic pathways in vertebrate kidney development. Developmental Biology Stem Cell and Regenerative Biology Genetics & Genomics Molecular Biology Nephrology and Kidney Disease Rare and Neglected Diseases (e.g., Non-Ketotic Hyperglycinemia) Recent Research Trends: Analysis of her recent publications reveals a strong focus on transcriptional regulation (e.g., Tfap2a, Irx2a, Emx1), prostaglandin signaling, ciliogenesis, and nephron segmentation. Her lab uses zebrafish to model human renal diseases and uncover conserved mechanisms of nephrogenesis and repair. There is a recurring emphasis on metabolic regulation (e.g., PGC-1α) and injury response pathways. Scientific Awards and Recognition: Gallagher Family Professorship in Stem Cell Biology Advising and Grants: As Director of Graduate Studies, Dr. Wingert plays a central role in mentoring graduate students in the Department of Biological Sciences. While specific grant funding is not listed, her sustained productivity and leadership roles suggest active external support for her research program. She advises graduate students and postdoctoral researchers in her lab, fostering training in developmental genetics and renal biology. Labs and Research Teams: The Wingert Lab at the University of Notre Dame utilizes zebrafish as a model system to study kidney development and regeneration. The lab integrates forward and reverse genetics, chemical screening, and molecular imaging to dissect nephrogenesis and disease mechanisms. Her team collaborates across disciplines to model rare diseases and explore regenerative pathways.

Johannes HungerView profile

Researcher

• Condensed Phase Dynamics
• Ionic Liquids
• Electrolyte Solutions
• +7 more

Dr. Johannes Hunger is a Group Leader at the Max Planck Institute for Polymer Research (MPI-P) in Mainz, Germany. He obtained his PhD in Chemistry from the University of Regensburg in 2006 under the supervision of Richard Buchner. Following a postdoctoral fellowship at the FOM Institute AMOLF in Amsterdam (2010-2012) funded by the German Science Foundation (DFG), he joined MPI-P as a group leader in 2012. In 2016, he established his distinguished research group with a starting grant from the European Research Council (ERC). His research focuses on dynamics in the condensed phase with particular emphasis on Coulombic and hydrogen-bonding interactions. His group intensively studies room temperature ionic liquids, electrolyte solutions, and solvation phenomena, elucidating fundamental properties of liquids including molecular-level ion transport and molecular association, as well as the relevance of such interactions in biological contexts (osmolyte action, specific ion effects) and technological applications (solvation dynamics, dissolution phenomena). With ERC funding, his group has intensified research on non-covalent interactions within reactive intermediates in organo-catalysis. The 15 most recent publications (2024-2025) demonstrate continued focus on hydrogen bonding dynamics, ion transport mechanisms, and solvation phenomena across various systems including aqueous interfaces, ionic liquids, and biomolecular environments. His work consistently combines experimental approaches with theoretical insights to unravel fundamental molecular processes. Scientific Awards: Postdoctoral Fellowship from German Science Foundation (DFG) ERC Starting Grant Dr. Hunger leads an active research group currently focused on three main areas: Fundamentals of Asymmetric Organo-Catalysis, Interaction of Osmolytes and Ions with Biopolymers, and Dynamics of Electrolytes. His research program is supported by the ERC grant FASTO-CAT and involves collaborations with numerous international research groups. His group maintains strong connections with the University of Regensburg where he completed his doctoral studies, and with research institutions in the Netherlands where he conducted his postdoctoral work. The research group operates state-of-the-art facilities for studying molecular dynamics, including advanced spectroscopic techniques for probing hydrogen bonding networks and ion transport phenomena at ultrafast timescales.

• Cell division
• Stem cell biology
• Germline stem cells
• +5 more

Jean-Claude Labbé is Full Professor in the Department of Pathology and Cell Biology, Faculty of Medicine, Université de Montréal, and Principal Investigator of the “Cell Division and Differentiation” research unit at the Institute for Research in Immunology and Cancer (IRIC). Recruited in 2005, he leads an internationally recognized program that exploits the nematode C. elegans to decipher the molecular logic governing stem cell division, polarity and tissue organization. Education & Training: PhD in Biochemistry, Université de Montréal (supervisors: Luis A. Rokeach & Siegfried Hekimi) Postdoctoral Fellow, Department of Biology, University of North Carolina at Chapel Hill, USA (with Bob Goldstein) Postdoctoral Fellow, Institute of Biochemistry, ETH Zurich, Switzerland (with Monica Gotta) Research Focus: His laboratory investigates how germline stem cells balance self-renewal and differentiation through oriented divisions that maintain contact with the distal tip cell niche, and how syncytial germline architecture is established, expanded and maintained. These studies integrate advanced live-cell imaging, quantitative image analysis, genetics and biochemistry, and provide fundamental insights relevant to mammalian development, tissue regeneration and cancer. Funding & Awards: Canada Research Chair in Cell Division and Differentiation (2006–2016) CIHR New Investigator Award (2005–2006) Ongoing operating grants from CIHR, NSERC and the Cancer Research Society Team & Mentorship: He currently mentors several graduate students (Mohamed Réda Zellag, Kimia Zarnani, Léa Lacroix) and research associates within a vibrant, collaborative environment at IRIC.

Sophie H. YuView profile

Assistant Professor

• Operations Research
• Applied Probability
• High-Dimensional Statistics
• +4 more

Sophie H. Yu is an Assistant Professor of Operations, Information and Decisions at the Wharton School of Business, University of Pennsylvania. She completed her postdoctoral work in the Department of Management Science and Engineering at Stanford University before joining Wharton. Her academic journey includes a Ph.D. in Decision Sciences from the Fuqua School of Business at Duke University (2023), an M.S. in statistical and economic modeling from Duke University (2017), and a B.S. in Economics from Renmin University of China (2015). Ph.D. in Decision Sciences, Fuqua School of Business, Duke University (2023) M.S. in Statistical and Economic Modeling, Duke University (2017) B.S. in Economics, Renmin University of China (2015) Sophie's research focuses on high-dimensional statistics, algorithm design, and performance evaluation in large-scale networks and stochastic systems . Her work draws inspiration from real-world business, engineering, and natural sciences problems that can be modeled into large and complex networks. She has explored fundamental limits and efficient algorithms on graph matching, online platform policy design with bounded regret, and data confidentiality protection. Her research spans the intersection of operations research, applied probability, statistics, and computer science, with particular emphasis on network science and information theory. Sophie's publications demonstrate a strong focus on matching problems in networks, with significant contributions to understanding random graph matching, network correlation testing, and online matching algorithms. Her work shows a progression from fundamental theoretical questions to practical applications in resource allocation and market design. Recent papers indicate increasing focus on practical implementations of theoretical concepts in real-world matching markets. Thomas M. Cover Dissertation Award from IEEE Information Theory Society (2024) Best Dissertation Award from Fuqua George Nicholson Student Paper Competition finalist, INFORMS 2022 Sophie has been actively involved in academic service, presenting her work at numerous prestigious institutions including University of Texas at Austin, University of Toronto, London School of Business, and MIT. She has taught graduate courses in decision modeling and served as a teaching assistant for various statistics and operations courses during her doctoral studies at Duke University. Her research has been supported through academic appointments and likely research grants related to her work in network science and matching algorithms.

• Psychiatric Nursing
• Mental Health
• Special Needs Children Care
• +7 more

Assoc. Prof. Dr. Havva KAÇAN is a distinguished academic in the Faculty of Health Sciences at Kastamonu University, Turkey, specializing in Nursing with a focus on Psychiatric Nursing. She currently serves as Department Head and has held academic positions since 1998, progressing from Teaching Staff to her current role as Associate Professor since 2023. Her career spans over 25 years of dedicated service in nursing education and research. Doctorate in Nursing (2011-2014) - Istanbul Science University, Health Sciences Institute Master's in Fundamentals of Nursing (1996-1999) - Hacettepe University, Institute of Health Sciences Bachelor's in Nursing (1991-1995) - Hacettepe University, School of Nursing Dr. KAÇAN's research interests center around psychiatric nursing, mental health, and special needs care, with particular expertise in autism spectrum disorders, caregiver burden, and elderly mental health. Her work bridges clinical practice with academic research, focusing on practical interventions that improve quality of life for vulnerable populations including children with disabilities, their families, and elderly individuals. She has developed numerous psychoeducation programs addressing anxiety, stress management, and coping strategies. Analysis of her recent publications reveals a strong focus on evidence-based interventions for special needs populations, particularly examining caregiver burden, psychological resilience, and mental health outcomes. Her work increasingly incorporates disaster mental health perspectives, particularly regarding psychological first aid for children with special needs. The interdisciplinary nature of her research connects psychiatric nursing with social psychology, geriatrics, and women's health. Prof.Dr.Perihan Velioğlu Hemşirelik Fonu Award (2025) Project Incentive Award from Kastamonu University (2024) Project Incentive Award from Özel Birey ve Aileler Dayanışma Derneği (2024) Ruh Sağlığını Koruma recognition (2021) Poster Presentation First Prize from Sağlıkla Hemşirelik Dergisi (2013) Dr. KAÇAN has successfully led multiple research projects, including TÜBİTAK-funded initiatives focusing on inclusive community practices for individuals with special needs and scientific education activities. She has served as principal investigator and consultant for numerous student research projects, demonstrating strong commitment to mentoring the next generation of nursing professionals. Her collaborative work spans multiple Turkish universities including Dicle University, Mardin Artuklu University, and Hacettepe University. As Department Head at Kastamonu University's Faculty of Health Sciences, she leads a team focused on psychiatric nursing education and research. Her leadership extends to coordinating interdisciplinary approaches for special needs children and their families, integrating insights from psychology, social work, and medical disciplines to create comprehensive care models.

• String Theory
• Quantum Field Theory
• Integrable Systems
• +2 more

Konstantin Zarembo serves as a Professor within the Theoretical high energy, astroparticle and gravitational physics group at the Niels Bohr Institute, University of Copenhagen, focusing on fundamental theoretical physics research. His research program centers on String Theory and Quantum Field Theory , with particular emphasis on integrable structures in supersymmetric gauge theories. Key contributions include groundbreaking work on AdS/CFT correspondence, where he explores exact solutions through Bethe ansatz techniques, domain walls in ABJM theory, and boundary states in holographic dualities. His methodology combines advanced mathematical physics with quantum integrability to address non-perturbative phenomena in high-energy systems. Analysis of his 2021-2025 publications reveals a cohesive research trajectory centered on integrability applications across quantum field theory and string theory, with significant focus on 't Hooft loops, Gross-Neveu models, and eigenvalue systems. These works consistently appear in premier journals like Journal of High Energy Physics and Physical Review Letters, demonstrating sustained impact in theoretical physics. No scientific awards were documented in the source materials. Information regarding student supervision, grant funding, or collaborative projects beyond co-authorship was not provided in the available texts. Professor Zarembo operates within the Theoretical high energy, astroparticle and gravitational physics research group at the Niels Bohr Institute, contributing to Copenhagen's prominence in fundamental theoretical physics through his specialized expertise in integrable systems and holographic dualities.

• Biomedical Image Analysis
• Computational Neuroscience
• Biomedical Informatics
• +4 more

Tianming Liu serves as a Distinguished Research Professor in the School of Computing at the University of Georgia, with courtesy faculty appointments in the Department of Epidemiology and Biostatistics at the College of Public Health and the Institute of Bioinformatics. His academic career at UGA spans from Assistant Professor (2008-2013) to Associate Professor (2013-2015) to full Professor (2015-present), culminating in his recognition as a Distinguished Research Professor in 2017. He also serves as Graduate Program Faculty in the School of Computing. Education: Ph.D. in Computer Engineering, Shanghai Jiaotong University, China (2002) Master of Science in Computer Science, Northwestern Polytechnical University, China (1999) Bachelor of Arts in Computer Science, Northwestern Polytechnical University, China (1998) Dr. Liu's research focuses on the intersection of computer science and neuroscience, with particular expertise in biomedical image analysis, computational neuroscience, and biomedical informatics. His work centers on cortical architecture imaging and discovery, developing advanced computational methods for analyzing brain structure and function. His research spans multiple disciplines including neurosciences, cognitive sciences, biomedical engineering, and clinical sciences, with applications in understanding Alzheimer's disease progression, brain connectomics, and neural architecture. Analysis of Dr. Liu's recent publications reveals a strong trajectory in applying deep learning techniques to neuroimaging data. His work increasingly focuses on developing sophisticated neural network architectures specifically designed for brain connectome analysis, with particular attention to spatiotemporal dynamics and hierarchical organization of brain networks. Recent publications demonstrate his leadership in applying neural architecture search methods to optimize brain network analysis pipelines, with applications spanning from Alzheimer's disease research to fundamental neuroscience questions about cortical folding patterns. Scientific Recognition: Distinguished Research Professor at the University of Georgia (2017) Dr. Liu has secured substantial research funding through multiple competitive grants from NIH and NSF, demonstrating the significance and impact of his work. His most notable projects include the NIH R01 grant "Developing an Individualized Deep Connectome Framework for ADRD Analysis," the NIH R01 grant "Mapping Trajectories of Alzheimer's Progression via Personalized Brain Anchor-nodes," and the NSF CRCNS grant "Exploring the Mechanism of 3-Hinge Gyral Formation and its Role in Brain Networks." These projects highlight his leadership in applying computational methods to address critical challenges in neuroscience and medicine, particularly in the domain of Alzheimer's Disease and Related Dementias (ADRD). Dr. Liu collaborates extensively across disciplines, working with researchers at institutions including University of Virginia, Emory University, UNC Chapel Hill, and UT Arlington. His work has contributed to the development of BiomedGPT, an open-source visual-language foundation model for biomedical applications, demonstrating his commitment to creating accessible tools for the broader research community.

Martha SullivanView profile

Associate Professor

• Ceramics
• Product Design
• Wellness
• +3 more

Martha Sullivan serves as the Department Chair and Associate Professor of Practice in the Industrial Design program at Virginia Polytechnic Institute and State University. Her work bridges ceramics , product design , wellness , and community development , with a focus on interdisciplinary collaboration and contemplative practices in design education. Education : M.S.Arch in Industrial Design and B.S. in Geology, both from Virginia Tech Research interests span ceramic arts , mindful design , digital fabrication , and sustainable material practices . Her scholarly outputs include ceramic installations , pedagogical research , and international collaborations in Norway and China. Recent publications highlight subliminal material experiences (2023), student learning assessment (2022), and biomimetic design methodologies (2020). Sullivan’s work emphasizes the intersection of craft and technology , with consistent recognition for teaching excellence and community engagement . Scientific Awards School of Architecture + Design Outreach Award (2022) Excellence in Teaching Award (2022) New River Valley Leading Light Award for service (2019) Tau Sigma Delta National Honor Society (2006) Teaching responsibilities include courses in Handbuilding Clay , Molded Ceramics , and Needs Identification in Healthcare , alongside directing Study Abroad programs.

Virginia PedicordView profile

Assistant Professor

• Immunology
• Microbiota
• Host-Pathogen Interaction
• +4 more

Dr. Virginia Pedicord is a Principal Investigator at the University of Cambridge's Department of Medicine and the Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID). She leads the Pedicord Lab within the Cambridge Immunology Network as a Sir Henry Dale Fellow, a prestigious research fellowship jointly funded by the Royal Society and Wellcome Trust. Her research focuses on understanding the complex interactions between gut microbiota, host immunity, and disease pathogenesis. Dr. Pedicord received her PhD in Immunology and Microbial Pathogenesis from Cornell University under the supervision of Dr. James P. Allison at Memorial Sloan Kettering Cancer Center, where she studied CD8+ T cell biology. She completed her postdoctoral training at the Rockefeller University before joining the University of Cambridge in 2018. Her laboratory employs a multi-disciplinary approach combining functional metagenomics, in vivo models, cellular immunology, transcriptomics, and proteomics to investigate how commensal microbes influence host intestinal and systemic physiology. Research focuses on gut microbiota's role in immune responses and pathogen resistance Investigates how gut microbes and microbial metabolites affect resistance to infection Studies local and systemic T cell responses and gut-brain axis of neuronal function Uses functional metagenomics to identify cellular and molecular targets of microbiota-mediated immunity Dr. Pedicord's recent publications demonstrate a strong focus on how specific gut bacteria like Enterocloster clostridioformis protect against pathogens such as Salmonella, how microbial metabolites enhance cancer immunotherapy, and the role of the microbiome in various disease contexts including pancreatic cancer and inflammatory bowel disease. Her work bridges fundamental microbiome research with potential therapeutic applications. Scientific Recognition: Sir Henry Dale Fellow (2018) Dr. Pedicord's research program aims to provide mechanistic insights into host-microbiota interactions that will advance our understanding of infectious diseases, autoimmune disorders, and cancer, potentially enabling new therapeutic approaches. Her laboratory is situated at the Jeffrey Cheah Biomedical Centre on the Cambridge Biomedical Campus.