Neda Haj Hosseini is a Senior Lecturer and Associate Professor in Biomedical Engineering at Linköping University's Department of Biomedical Engineering (IMT) . She contributes to teaching courses like TBMT56 - Medical Technology and TBME08 - Biomedical Modeling and Simulation , while leading research initiatives in AI-driven cancer diagnostics and biomedical optics. Research Focus: Development of AI methods for cancer diagnostics, optical coherence tomography (OCT) applications, and fluorescence spectroscopy in surgical guidance Affiliations: Center for Medical Image Science and Visualization (CMIV) , Analytic Imaging Diagnostic Arena (AIDA) , Swedish Medical Technology Association Recent Research Trends demonstrate expertise in applying deep learning to: Pediatric brain tumor classification using multimodal imaging Optical biopsy techniques for intraoperative decision support Automated biomarker quantification in histopathology Medical imaging data integrity and algorithm validation Scientific Awards include grants from: Joanna Cocozza Foundation (2022) Swedish Childhood Cancer Foundation (2024) Academic Leadership involves mentoring students in projects such as: "Multiple Instance Attention-based Learning for Brain Tumor Classification" "Vision Transformers for Multiclass Brain Tumor Tissue Classification" "Reaction-diffusion Models for Image-driven Tumor Simulation"
Professor Matthew Jonathan Rosseinsky holds the Chair of Inorganic Chemistry at the University of Liverpool, a position he has occupied since October 1999. His career includes significant appointments at the University of Oxford (1992-1999) and Bell Laboratories in New Jersey (1990-1992), following his DPhil at Merton College, Oxford. As a Fellow of the Royal Society and recipient of numerous prestigious awards, Professor Rosseinsky maintains an active research program and leadership roles in the international chemistry community. Professor Rosseinsky's educational background includes a First Class Honours degree in Chemistry with Quantum Chemistry from the University of Oxford (1987) and a DPhil in "Physical Properties of Superconducting Oxides and Radical Cation Salts" completed in 1990 under Professor P. Day FRS. His research focuses on the synthesis of new materials with applications in energy storage and generation, communications, separation, and catalysis. The Rosseinsky Group employs a broad range of synthesis and characterization techniques, including neutron and synchrotron X-ray diffraction, combined with computational methods in collaboration with Dr. George Darling. Current research areas include Dynapore, CO2 fuels, SOLBAT, and CATMAT projects that target specific material challenges. Professor Rosseinsky's publication record is exceptional, with 304 papers including 11 in Nature, 6 in Science, and 3 in Nature Materials, accumulating over 15,000 citations and an h-index of 56 as of 2012. His work demonstrates consistent excellence across materials chemistry, with particular emphasis on porous frameworks, electronic materials, and solid-state chemistry. Among his numerous accolades are the Harrison Memorial Prize (1991), Corday-Morgan Medal (2000), Royal Society Wolfson Research Merit Award (2002), De Gennes Prize (2009), and the prestigious Hughes Medal from the Royal Society (2011). He also holds an ERC Advanced Investigator Grant and has delivered distinguished lectures worldwide. Professor Rosseinsky has served in numerous editorial and advisory capacities, including as Associate Editor for Chemical Sciences, membership on the Royal Society Conference and Travel Grant Committee since 2007, and as a member of the International Advisory Board for the Max Planck Institut for Solid State Research since 2011. His professional activities extend to international review committees for research institutions in France, South Korea, and Saudi Arabia. The Rosseinsky Group operates within the Department of Chemistry at the University of Liverpool, collaborating extensively with researchers including Dr. John Claridge, Professor Andrew Cooper, and Professor Paul Chalker. The group maintains strong international partnerships and utilizes advanced facilities for materials synthesis and characterization to drive innovation in functional materials development.
Andrew K. Przybylski is a Professor of Human Behaviour and Technology at the University of Oxford's Oxford Internet Institute (OII). His research bridges psychology and digital technology studies, focusing on how virtual environments like social media and video games influence motivation, health, and well-being. He advocates for open, reproducible science and collaborates with policymakers to address digital-age challenges. Recent appointments include Honorary Professor at The Educational University of Hong Kong’s Centre for Psychosocial Health. Education: Undergraduate, postgraduate, and doctoral degrees from the University of Rochester (United States). Research Interests: His work explores digital well-being, online platform data donation, social media's psychosocial effects, and video game engagement. Key themes include open science, meta-science, and the intersection of technology with adolescent mental health. Article Trends: Recent studies analyze digital harms, social media's impact on youth, and reproducibility in tech research. His projects span neuroscience (e.g., screen time's effect on brain organization), behavioral analysis (e.g., gaming and affective responses), and policy-oriented work (e.g., multiverse approaches to internet use). Collaborations with institutions like the Ashmolean Museum highlight his interest in digital culture's therapeutic potential. Scientific Awards: Honorary Professor at The Educational University of Hong Kong’s Centre for Psychosocial Health Grants & Collaborations: Funded by the Huo Family Foundation, UK Research and Innovation (UKRI), Economic and Social Research Council (ESRC), The British Academy, The Leverhulme Trust, Barnardo’s, and the University of Oxford’s John Fell Fund. He contributes as a scientific advisor to the Sync Digital Wellbeing Program. Labs & Projects: Leads initiatives like the Programme on Adolescent Well-Being in the Digital Age, Capturing Digital Footprints of Video Game Play, and Understanding Video Game Play and Mental Health. These projects emphasize open-source data collection and cross-disciplinary collaboration.
Phil Pavilionis is an Associate Professor of Kinesiology in the School of Public Health at the University of Nevada, Reno. With over 20 years of clinical experience as a Certified Athletic Trainer (ATC) and Certified Strength and Conditioning Specialist (CSCS), he bridges academic research with practical applications in sports medicine. His roles include teaching undergraduate/graduate courses, conducting research in the Neuromechanics Laboratory, and serving as an adjunct clinical athletic trainer for Nevada Sports Medicine. Education: Ph.D. in Neuroscience, University of Nevada, Reno (2024) M.S. in Exercise Science, California University of Pennsylvania (2007) B.S. in Health Science, University of Nevada, Reno (1995) Dr. Pavilionis specializes in head injury prevention and virtual reality applications for concussion evaluation. His research leverages clinical experience to develop standardized assessment protocols, focusing on vestibular-ocular motor screening (VOMS) using virtual reality to reduce administrator variability. Key investigations include oculomotor deficits following concussion, head impact biomechanics in football using instrumented mouthguards, and minimal detectable change metrics for neurocognitive tests like ImPACT. His work integrates neuroscience, kinesiology, and engineering to improve concussion diagnosis and management. Analysis of his 45 publications (2022-2025) reveals three dominant trends: (1) Virtual reality standardization of concussion assessments, particularly VOMS protocols; (2) Head impact monitoring using instrumented mouthguards to evaluate protective equipment like Guardian Caps; and (3) Machine learning applications for objective concussion detection through eye-tracking and biomechanical data. These studies consistently address the critical need for objective, standardized tools to overcome subjective symptom reporting in sports concussion management. Dr. Pavilionis actively collaborates with the Neuromechanics Laboratory and Nevada Sports Medicine, translating research into clinical practice. While no specific grants are documented in the provided materials, his extensive publication record (including 15 articles in 2023 alone) demonstrates sustained research productivity and interdisciplinary collaboration across neuroscience, engineering, and sports medicine disciplines.
Zhandong Liu is an Associate Professor at Baylor College of Medicine with joint appointments in the Department of Pediatrics and Department of Neurology . He serves as Chief of Computational Sciences at Texas Children's Hospital and co-directs the Quantitative & Computational Biosciences Graduate Program at Baylor. Education: B.S. in Computer Science, Nankai University (2001) M.S. in Computer Science, Wayne State University (2003) Ph.D. in Genomics and Computational Biology, University of Pennsylvania (2010) Dr. Liu's research integrates genomics , machine learning , and bioinformatics to advance understanding of neurological diseases. His work focuses on: Multi-omics data integration for disease mechanism discovery Development of cloud-based CRISPR analysis tools like CRISPRcloud Augmented reality platforms for biomedical data visualization Identification of disease genes through computational models Alternative splicing analysis in cancer and neurodegeneration Single-cell and spatial transcriptomics algorithms His recent publications emphasize Alzheimer's disease , MECP2 syndromes , and computational therapy prediction across multiple domains. Scientific awards include the 2018 Outstanding Service Award from the International Association for Intelligent Biology and Medicine. He has secured major grants from NIH, CPRIT, and NSF for projects including: NSF grant #199977 (2018-2020): Augmented reality therapy platforms CPRIT grant #RP170387 (2016-2019): Network-guided cancer analysis NIH #1R01AG057339 (2017-2022): Alzheimer's disease networks As head of the Liu Lab , he leads teams developing tools like: MARRVEL : Human-model organism gene variant integration CRISPRcloud : Secure CRISPR screen analysis platform CrypSplice : Cryptic splicing detection algorithm
Jonathan Gratch is a Research Professor at the University of Southern California (USC) with joint appointments in Computer Science , Psychology , and Media Arts and Practice . He serves as Director for Virtual Human Research at USC's Institute for Creative Technologies and leads the USC Affective Computing Group . His work focuses on computational models of human cognitive and social processes, particularly emotions, and their applications to virtual environments. Education: Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign (1995) Gratch's research spans Affective Computing , Cognitive Modeling , and Human-Computer Interaction , with a focus on creating emotionally intelligent virtual agents. His projects include the development of computational emotion models (e.g., EMA) and virtual human systems for training, healthcare, and social interaction studies. Key applications include the Mission Rehearsal Exercise and Stability and Support Operations prototypes. Recent publications (2023) highlight his exploration of LLM-based emotion modeling , social influence dynamics in human-agent interactions, and ethical implications of AI assistants . Earlier work (2014-2015) established foundational frameworks for automated negotiation and rapport-building virtual agents . His methodological contributions include parasocial consensus sampling and appraisal theory-based emotion architectures. Scientific honors include Fellowships from AAAI, AAAC, and the Cognitive Science Society, the SIGART Autonomous Agents Award , and Senior Membership in IEEE . As founding Editor-in-Chief of IEEE Transactions on Affective Computing , he has significantly shaped the field's academic discourse. Gratch's virtual humans leverage immersive audio-visual environments (8'x30' screens, 10.2-channel audio) to study socio-emotional dynamics. His team's work demonstrates that anthropomorphism in machines can enhance interaction but may produce unintended consequences, informing design principles for effective human-machine collaboration.
Bjoern Bauer, PhD is a Professor in the Department of Pharmaceutical Sciences at the University of Kentucky, affiliated with the Sanders-Brown Center on Aging. His research focuses on blood-brain barrier (BBB) biology, Alzheimer’s disease mechanisms, and drug delivery strategies for neurological disorders. Bauer’s work explores how BBB dysfunction contributes to neurodegenerative diseases and cancer, with particular attention to efflux transporters like P-glycoprotein (ABCB1) and their roles in drug resistance and amyloid beta pathology. Key research areas include: 1) BBB leakage and its role in Alzheimer’s disease progression, 2) development of therapeutic strategies to modulate BBB transporters, 3) preclinical models of glioblastoma and neurodegeneration, and 4) biomarker discovery for early disease detection. His lab utilizes advanced in vitro BBB models, transgenic mouse models (e.g., 5xFAD), and imaging techniques to study these processes. Bauer’s contributions span over 40 peer-reviewed publications since 2001, with recent work emphasizing oxidative stress mechanisms, tumor drug resistance, and translational approaches to BBB targeting. Current efforts include investigating S100β as a plasma biomarker and exploring proteasome inhibition as a therapeutic avenue for restoring BBB integrity. He leads the Bauer-Hartz Lab, collaborating extensively with neurologists, oncologists, and pharmacologists to advance CNS drug delivery technologies. He holds a PhD in Pharmacology and has been a faculty member at the University of Kentucky since joining Sanders-Brown in [year not explicitly stated]. His research is supported by grants focusing on BBB biology, Alzheimer’s disease, and cancer pharmacology.
Lucas Introna is a Distinguished Professor of Organisation, Technology, and Ethics at Lancaster University's Management School. He holds a BCom, BA (Hons), MBA, and PhD. His research focuses on the ethical and social implications of technology, particularly information systems, informed by phenomenology and process philosophy. He has served as Associate Dean for Research (2010-2016) and Head of the Organisation, Work and Technology Department (2007-2010). **Research Interests:** Sociomateriality and performativity Ethical implications of IT (privacy, surveillance) Political studies of technology design Plagiarism and cultural values Virtuality and embodiment **Recent Work Trends:** His publications explore algorithmic governance, digital ethics, and the interplay between technology and social structures. Notable themes include blockchain trust dynamics, refugee precarity, and the ethical dimensions of facial recognition systems. **Awards:** IFIP Outstanding Service Award **Grants & Roles:** Co-founder of the Centre for the Study of Technology and Organisation Member of multiple ethics committees and editorial boards Visited professor at University of Amsterdam **Labs/Groups:** Affiliated with the Centre for Technological Futures and the Society Management and Society group.
Srinivas Sridhar is a University Distinguished Professor of Physics, Biomedical Engineering, and Chemical Engineering at Northeastern University, with a secondary appointment as Lecturer on Radiation Oncology at Harvard Medical School. He previously served as Vice Provost for Research at Northeastern University (2004–2008), overseeing its research portfolio. As an elected Fellow of the American Physical Society and the American Institute of Medical and Biological Engineering, his research spans nanomedicine, neurotechnology, drug delivery, and quantitative MRI, with over 450 publications and patents. He founded the Nanomedicine Innovation Center and directs major NIH/NSF programs like CaNCURE and IGERT, focusing on undergraduate and graduate training in nanomedicine, particularly for underrepresented communities. His research interests include Nanomedicine Neurotechnology Quantitative MRI Drug Delivery Systems Metamaterials and Nanophotonics Quantum Chaos Superconductivity . Recent work involves machine learning-enhanced diagnostics for glaucoma, engineered nanoparticles for BRCA-deficient cancers, and portable neuro-ophthalmic devices. His publications from 2025–2017 reflect interdisciplinary applications in oncology, neurology, and materials science, with a focus on therapeutic and diagnostic innovation. Scientific accolades include the 2016 Biomedical Engineering Society Diversity Award University Distinguished Professorship . As an educator and entrepreneur, he has trained over 120 researchers, developed first-of-their-kind nanomedicine courses, and founded companies commercializing technologies like QUTE-CE MRI. His lab leads projects on cancer nanomedicine, quantitative imaging, and nanoscale magnetism, supported by grants from NIH, NSF, DoD, and private foundations.
Garrett M. Morris is an Associate Professor in Systems Approaches to Biomedicine at the University of Oxford, affiliated with the Department of Statistics and Green Templeton College. He holds roles as Deputy Director of Graduate Studies, Co-Director of the SABS R³ Centre for Doctoral Training, and Research Fellow at Green Templeton College. His research focuses on computational chemistry, drug discovery, and AI integration in biomedicine. He earned his DPhil from Oxford under Prof. W. Graham Richards, with subsequent work at The Scripps Research Institute and Oxford spinouts like InhibOx and Crysalin. Research interests include protein-ligand docking, virtual screening, and machine learning applications in cheminformatics. Notable contributions include the AutoDock software and the FightAIDS@Home project. He co-organizes conferences like the Royal Society of Chemistry’s 'AI in Chemistry' and founded Comp Chem Kitchen. His lab, Oxford Protein Informatics Group (OPIG), develops novel methods for drug discovery and evaluates AI-based docking methods' validity (e.g., PoseBusters). Recent work critiques AI docking methods' physical plausibility and generalizability. He advises numerous graduate students in statistics and drug discovery, with alumni in academia, pharma, and venture capital. Publications span molecular generation, scoring functions, and computational tools for drug design. Collaborations emphasize reproducibility, responsible research, and cloud computing in biomedicine.
Sanjeev Chatterjee is a Professor at the University of Miami's School of Communication with primary appointments in the Department of Cinema and Interactive Media and secondary appointments in the Department of Journalism. He also serves on the faculties of the Salzburg Academy on Media and Global Change (since 2006) and the Young India Fellowship (since 2011). Chatterjee has been at the University of Miami since 1994, after previously teaching at Emerson College, Boston as an assistant professor starting in 1989. He earned his M.F.A. in Radio and Television from Brooklyn College in 1989 and an M.A. in English Literature from Delhi University in 1985. Chatterjee's research focuses on Documentary Media Making, Sustainability, Environment, and the Indian Diaspora. His work bridges academic scholarship with practical media production, creating documentaries that address global issues while serving educational purposes. He has developed numerous media projects that combine storytelling with social impact, particularly in the areas of water sustainability and cross-cultural understanding. His filmography demonstrates consistent engagement with environmental issues, particularly water resources, as seen in his acclaimed 'One Water' series and related projects. Chatterjee's work also explores urban environments, cultural identity, and diaspora communities, reflecting his interdisciplinary approach to media production. His documentaries have reached global audiences through film festivals, television distribution, and educational screenings worldwide. Fulbright Scholar (India) 2011 AMAP Prize at EcoVision film festival Best Environmental Feature Award at Artivist Film Festival Multiple Best Documentary awards at international film festivals King Award, Best of Festival at Broadcast Education Association Numerous technical merit awards for documentary production As an educator, Chatterjee has directed the University of Miami's semester abroad program in India (UIndia) since 2013 and founded the non-profit Media for Change in 2015. His administrative roles have included Vice Dean of the School of Communication (2006-2010) and founding Executive Director of the Knight Center for International Media (2007-2011). He has secured significant funding from organizations including the Knight Foundation, Florida Humanities Council, UNDP, UN Water, and the United States Institute for Peace to support his media projects. Chatterjee directs the University of Miami's semester abroad program in India and founded Media for Change, a Florida-based non-profit creating a global network of media changemakers. His work demonstrates a commitment to using media as a tool for social change, environmental awareness, and cross-cultural understanding.
Prof. Dr. Matthias Rarey is a computer scientist and Professor at the University of Hamburg's Center for Bioinformatics. He holds a Ph.D. in Computer Science from the University of Bonn (1996) and has been leading the Algorithmic Molecular Design working group since 2002. His research focuses on molecular design algorithms, cheminformatics tools, and 3D bioinformatics. Co-founder of BioSolveIT GmbH Former cheminformatics group leader at Fraunhofer SCAI Former researcher at SmithKline Beecham and Roche Bioscience Head of Helmholtz Data Science Graduate School DASHH Director of Center for Data and Computing in Natural Science (CDCS) Research interests span algorithmic molecular design, cheminformatics, structure-based drug discovery, and machine learning applications in bioactivity prediction. His group developed widely used tools like FlexX, PoseView, and SpaceLight for molecular modeling and fragment space analysis. Recent publications focus on geometric pattern matching in protein-ligand interfaces, combinatorial fragment space encoding, adverse drug reaction network analysis, and efficient shape-based virtual screening. The work emphasizes scalable algorithms for billion-sized compound libraries and integration of machine learning with traditional cheminformatics approaches. Scientific awards include: GMD Award 1996 (Best Dissertation) GMD Award 2000 (Best Project) NRW Wissenschaftspreis 2002 Corwin Hansch Award 2005 Emerging Technologies Award 2011 Norddeutscher Wissenschaftspreis 2020 Academic leadership roles: Founding director of Center for Bioinformatics Co-founder of M.Sc. Bioinformatics and B.Sc. Computing in Science programs Chair of doctoral committee at Faculty of Computer Science Member of EMBL-EBI's Molecular and Cellular Structure advisory board Former Associate Editor of Journal of Chemical Information and Modeling
Maryellen L. Giger, Ph.D. is the A.N. Pritzker Distinguished Service Professor of Radiology, Committee on Medical Physics, and the College at the University of Chicago. She serves as Vice-Chair of Radiology (Basic Science Research) and was the immediate past Director of the CAMPEP-accredited Graduate Programs in Medical Physics/Chair of the Committee on Medical Physics. Her career spans over 30 years of pioneering research in computer-aided diagnosis, machine learning, and deep learning applications in medical imaging. Dr. Giger's research focuses on computational image-based analyses for cancer risk assessment, diagnosis, prognosis, and response to therapy, particularly in breast cancer, lung cancer, prostate cancer, lupus, bone diseases, and more recently, COVID-19. Her work has evolved from developing computer-aided diagnosis systems to utilizing 'virtual biopsies' in imaging genomics association studies for discovery. She has made significant contributions to quantitative imaging, radiomics, and AI applications in medical imaging, with emphasis on translating research into clinical practice. Her publication record shows a clear trajectory from foundational work in computer vision for medical imaging to cutting-edge AI and deep learning applications. The recent publications demonstrate her leadership in large-scale collaborative efforts like the Medical Imaging and Data Resource Center (MIDRC), focus on health equity through AI analysis, and expansion into diverse applications including gynecological imaging, lung cancer screening, and trauma assessment. Her work consistently bridges technical innovation with clinical relevance. Dr. Giger has received numerous prestigious honors including membership in the National Academy of Engineering, the William D. Coolidge Gold Medal (the highest award from AAPM), and being named one of the 50 most impactful medical physicists in the last 50 years. She is a Fellow of multiple professional societies including AAPM, AIMBE, SPIE, SBMR, and IEEE. Her 2019 TIME magazine recognition for QuantX, the first FDA-cleared machine-learning-driven system for cancer diagnosis, highlights her translational impact. As an educator and mentor, Dr. Giger has guided over 100 graduate students, residents, and medical students throughout her career. She has secured substantial research funding including NIH R01 grants and serves as contact PI for the NIH NIBIB-funded & ARPA-H-funded Medical Imaging and Data Resource Center (MIDRC). Her leadership extends to former presidencies of the American Association of Physicists in Medicine and SPIE, and she was the inaugural Editor-in-Chief of the SPIE Journal of Medical Imaging. Dr. Giger co-founded Quantitative Insights, Inc. through the University of Chicago's New Venture Challenge, which developed QuantX - the first FDA-cleared AI system for cancer diagnosis. She leads the Medical Imaging and Data Resource Center (MIDRC), a critical resource for AI development in medical imaging that received the 2023 DataWorks Prize. Her research laboratory bridges engineering, physics, and clinical medicine to develop and validate quantitative imaging biomarkers and AI tools for precision medicine.
Shadi Dalili is an Associate Professor, Teaching Stream at the University of Toronto's Scarborough (UTSC) campus. He specializes in Chemistry Education and Organic Chemistry research. His roles include teaching undergraduate courses like Organic Chemistry I and mentoring students in directed research projects. Education: BSc, University of Tehran, Iran (1999) MSc, University of Toronto (2001) PhD, University of Toronto (2005) Research Interests: His work focuses on synthesizing biologically active isatin derivatives, developing hole transport materials (HTMs) for Perovskite solar cells, and advancing chemistry education through technologies like augmented reality (AR). Collaborations with Dr. Kagan Kerman and Dr. Meissam Norouzifar address renewable energy materials, while his work with Dr. Maryam Abdinejad led to the ARchemy app, supported by grants from the Centre for Teaching and Learning and ITIF. Publications: Key contributions span AR-based educational tools, organic synthesis methodologies, and drug discovery. Recent work highlights include studies on student perceptions of AR in chemistry and lab skills seminars. Grants & Collaboration: Received $20,000 in grants for ARchemy development and partnered with UofT’s MADlab. Research emphasizes bridging technology and education, with applications in molecular visualization and renewable energy materials. Labs/Teams: Lead the ARchemy project team and collaborates on Perovskite solar cell research, fostering interdisciplinary innovation.
Christopher M. Shea, PhD, is a Professor in the Department of Health Policy and Management and Adjunct Associate Professor in Social Medicine at the University of North Carolina’s Gillings School of Global Public Health. He serves as the PhD Program Director, leading interdisciplinary training in public health policy and management. His work focuses on implementation science, organizational readiness for change, and telehealth adoption, with expertise in mixed-methods research. Dr. Shea holds a PhD in Public Administration (2008) from North Carolina State University, an MPA (2004) and MA in English (1998), and a BBA in Finance and English (1995). His research bridges organizational behavior, health informatics, and quality improvement, particularly in healthcare innovation adoption. His research interests include assessing organizational preparedness for change, telehealth policy, and strategies to support 'innovation champions.' Key projects involve evaluating telehealth utilization in rural settings and analyzing how financial factors influence telemedicine adoption for critical care in hospitals. Dr. Shea’s recent work explores maternal telehealth access disparities, opioid use disorder treatment policies, and the role of social needs screening in primary care. His articles often address implementation barriers and strategies in healthcare systems, with a focus on translating research into practice through mixed-methods approaches. He has contributed to initiatives like the Gillings Innovation Labs, emphasizing practical solutions for public health challenges. His grants and collaborations focus on improving healthcare equity through evidence-based strategies, such as community resource referral systems for cardiovascular disease in rural North Carolina.
