David N. Ku is the Lawrence P. Huang Endowed Chair for Engineering Entrepreneurship and Regents' Professor at Georgia Institute of Technology. He holds appointments in the School of Mechanical Engineering (Woodruff School) within the College of Engineering. His research focuses on biofluid mechanics, medical device innovation, and translational technology, with emphasis on thrombosis mechanisms and vascular diseases. Education: M.D. from Emory University (1984); Ph.D. and M.S. from Georgia Tech (1983, 1982); B.A. from Harvard University (1978). Research interests include unsteady fluid dynamics in vascular systems, nanoparticle medical devices for thrombosis prevention, and porous thrombus applications for hemostasis. His work bridges bioengineering with entrepreneurship, teaching product development at the Business School and collaborating with Emory University, Paris Tech-Mines, and ETH Zurich. Key awards include the American Institute for Medical and Biological Engineering Fellowship, DLA Piper Inventor of the Year, and NSF Presidential Young Investigator Award. His research is funded by NIH, NSF, and industry partners. Labs/Teams: Leads a lab using microfluidics and computational mechanics for vascular disease solutions. Collaborates on technologies to address post-partum hemorrhage and traumatic bleeding.
John C. Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology (Caltech), where he holds appointments in the Division of Engineering and Applied Science with primary affiliation in the Control and Dynamical Systems Department. His research bridges theoretical foundations with applications across biological, technological, medical, and ecological networks. He earned a BS and MS in Electrical Engineering from MIT (1977) and a PhD in Mathematics from UC Berkeley (1984), followed by consultancy at Honeywell Systems and Research Center (1976-1990). MIT: BS & MS in Electrical Engineering (1977) UC Berkeley: PhD in Mathematics (1984) Doyle's research centers on universal laws and architectures in complex systems, emphasizing robustness-efficiency tradeoffs, speed-accuracy tradeoffs (SATs), diversity-enabled sweet spots (DeSS), bowtie/hourglass structures, and evolvability. His work pioneers System Level Synthesis (SLS) for control systems with sparse, local, saturating, delayed, noisy, quantized, and distributed (SLSDNQD) components, integrating control theory, computation, communication, and machine learning to address challenges from neural networks to infrastructure resilience. Key concepts include virtualization, horizontal transfer, and virality in multiscale systems. Analysis of his publication trends reveals consistent interdisciplinary impact across neuroscience (brain connectivity modeling), systems biology (metabolic oscillations), network science (internet topology), and physics (turbulence, earthquakes), with recurring themes of robust-efficiency limits and architectural principles governing complex networks. His work demonstrates exceptional translation from abstract theory to practical tools like the Matlab Robust Control Toolbox and Systems Biology Markup Language (SBML). His scientific recognition includes: 1990 IEEE Baker Prize (ranked among top 10 most important mathematics papers 1981-1993) Three IEEE Automatic Control Transactions Awards (1998, 1999, 2021) ACM Sigcomm Paper Prize (2004) and Test of Time Award (2016) IEEE Control Systems Field Award (2004) Multiple early-career honors including IEEE Centennial Outstanding Young Engineer (1984) Doyle has mentored generations of students whose contributions include foundational software tools adopted globally. His research has secured sustained funding from NSF, NIH, and other agencies supporting theoretical advances in control frameworks and their applications to biomedical systems, network infrastructure, and environmental modeling. The SBML initiative exemplifies his group's impact in standardizing computational biology research. He leads a highly collaborative research ecosystem at Caltech that integrates engineers, biologists, neuroscientists, and computer scientists to develop universal principles for complex networks. Current efforts focus on translating theoretical insights into health technologies, resilient infrastructure, and climate-responsive systems through the application of robust-efficiency frameworks to emerging challenges in cyber-physical and biological domains.
Dr. Carla Vilela is an Assistant Professor in the Department of Chemistry at the University of Aveiro and Principal Researcher at CICECO. She coordinates the Sustainable Materials research line and leads projects on cellulose-based materials and circular economy. Her research focuses on sustainable materials from cellulose and renewable resources for applications in water remediation, food packaging, and textiles. Education includes a PhD in Chemistry from the University of Aveiro and postdoctoral work at CICECO and ISIS Neutron and Muon Source (UK). Research interests include: Development of cellulose-based functional materials Nanocomposites for biomedical applications Sustainable packaging solutions Biopolymer modification and characterization Publications demonstrate strong focus on cellulose nanocomposites, bioprinting bioinks, and active packaging. Recent articles frequently involve nanocellulose modifications, drug delivery systems, and sustainable material design. Awards include being named among World's Top 2% Scientists annually since 2020. Funding includes national projects (Cell4Janus) and EU collaborations (PRIMA Im-Pack). Leads the BioPol4Fun research group and supervises 6 PhD students. Current projects explore cellulose-based microrobots, resin valorization, and marine biopolymers.
Behnaam Aazhang is the J.S. Abercrombie Professor of Electrical and Computer Engineering at Rice University and Director of the Rice Neuroengineering Initiative (NEI). He holds a B.S., M.S., and Ph.D. from the University of Illinois at Urbana-Champaign. His roles include leading the multi-university Rice Neuroengineering Initiative and directing the Center for Neuroengineering. He has held an Academy of Finland Distinguished Visiting Professorship (FiDiPro) at the University of Oulu (2006-2014) and received an Honorary Doctorate from the University of Oulu in 2017. Education: Ph.D. in Electrical Engineering, University of Illinois at Urbana-Champaign (1986) M.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1983) B.S. in Electrical Engineering, University of Illinois at Urbana-Champaign (1981) Research Interests: Dr. Aazhang’s work focuses on signal/data processing, information theory, and neuroengineering applications. Key areas include: Neuronal circuit connectivity and learning impacts Real-time closed-loop neuromodulation for neurological disorders (epilepsy, Parkinson’s, depression) Patient-specific cardiac pacing systems Cybersecurity in cloud computing Awards & Honors: 2022 Rice Outstanding Doctoral Thesis Advisor Award 2019 SIGMOBILE Test of Time Award 2017 Honorary Doctorate (University of Oulu) 2013 IEEE Communication Society Advances in Communication Award AAAS and IEEE Fellowships (2012 and 1999) Grants & Advising: His research is supported by multi-university collaborations and grants. He has advised numerous graduate students in electrical engineering and neuroengineering, though specific names are not listed here. Labs & Teams: Leads the Aazhang Lab and the Rice Neuroengineering Initiative, focusing on translational technologies for neurological and cardiac disorders, including non-invasive neuromodulation and cloud security systems.
Anne H Schistad Solberg is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. She leads research in digital signal processing and image analysis, with a focus on machine learning applications across multiple domains. As co-director of SFI Visual Intelligence, she oversees research on interpretable deep learning models, uncertainty quantification, contextual learning, and self-supervised learning approaches. Her research spans medical imaging (particularly cardiovascular ultrasound), environmental monitoring using satellite imagery, and seabed mapping with sonar technology. Professor Solberg's work demonstrates a consistent trajectory from foundational signal processing techniques to cutting-edge deep learning applications. Her recent publications show increasing specialization in medical image analysis, particularly in echocardiography enhancement and cardiac structure segmentation, while maintaining strong contributions to remote sensing and geophysical applications. She teaches several popular courses including IN2070, IN3310, and IN5400 (Machine Learning for Image Analysis), which is noted as the most popular master's/PhD course on deep learning at the University of Oslo. Professor Solberg serves as principal investigator for the Intelligent Cardiovascular Ultrasound Scanner (INCUS) project, collaborating with GE Vingmed Ultrasound to develop AI-enhanced cardiac imaging systems that improve diagnostic accuracy and productivity in echocardiography. Co-director of SFI Visual Intelligence research center Principal Investigator for the INCUS project (Intelligent Cardiovascular Ultrasound Scanner) Member of the Digital Signal Processing and Image Analysis (DSB) research group Member of the Strategic Research Initiative: Multimodal Medical Imaging and Image Analysis (MEDIMA) Her research group develops algorithms that address real-world challenges in medical diagnostics and environmental monitoring, with a particular emphasis on making deep learning models more interpretable and reliable for critical applications. The INCUS project, funded through User-driven Research-based Innovation (BIA), aims to reduce the time wasted during cardiac ultrasound examinations by implementing intelligent algorithms that learn from expert users and historical data.
Cathy Wu is a distinguished academic holding the Unidel Edward G. Jefferson Chair in Engineering and Computer Science at the University of Delaware. She serves as Director of the Center for Bioinformatics & Computational Biology (CBCB), Data Science Institute (DSI), and Protein Information Resource (PIR). Her roles include professorships in the Departments of Computer & Information Sciences and Biological Sciences. Education: BS in Plant Pathology (National Taiwan University, 1978), MS and PhD in Plant Pathology (Purdue University, 1982–1984), and a second MS in Computer Science (University of Texas at Tyler, 1989). She completed postdoctoral training in Molecular Biology at Michigan State University (1985–1986). Research interests focus on computational biology, bioinformatics, and data science with emphasis on protein informatics, biological text mining, ontology development, gene-disease-drug networks, and machine learning applications. She leads initiatives in integrating FAIR principles into biological databases like UniProt and InterPro. Her work bridges computational methods with biomedical challenges, including cancer genomics, epigenetic regulation, and proteomic analyses. She has spearheaded educational programs such as the Online Graduate Certificates in Applied Bioinformatics and Biomedical Informatics and Data Science. Her contributions include over 290 peer-reviewed publications (48,000+ citations, h-index 71) and authored/co-authored four books on bioinformatics. She directs multidisciplinary research teams and collaborates internationally on projects like the HALO study on ovarian cancer genetics. Awards and recognition are implied through her leadership roles and academic appointments, though specific prizes are not listed here. Her grants and funding support large-scale initiatives in bioinformatics infrastructure and translational research.
Dr. Channakeshava S. Umeshappa is a faculty member in the Department of Microbiology & Immunology and Department of Pediatrics at Dalhousie University, Canada . He holds a PhD in Immunology from the University of Saskatchewan and completed postdoctoral training at the University of Calgary. Education : DVM (Karnataka Veterinary Animal and Fisheries Sciences University, India), MVSc (Indian Veterinary Research Institute, India), PhD (University of Saskatchewan, Canada) Research Interests : Dr. Umeshappa’s program focuses on immunoregulation in chronic diseases , particularly autoimmunity and cancer. His lab employs genetically modified murine models , omics , synthetic biology , flow cytometry , and imaging to develop immunotherapies. His work emphasizes interdisciplinary collaboration with clinicians and scientists. Article Trends : Recent publications highlight nanomedicine applications in autoimmune liver disease (e.g., peptide-MHC nanomedicines, invariant NKT cell reprogramming) and cancer therapy (e.g., laser-responsive nanoparticles, tumor-to-lymph gels). Studies span immuno-informatics , cell signaling , and clinical outcomes analysis.
Dr. Darryl Dickerson is an Assistant Professor in the Department of Mechanical and Materials Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on mechanical characterization of biological interfaces, design of bioinspired materials, and advancing inclusive engineering education practices. He holds a Ph.D. (details not explicitly provided in text). Research Interests: Dr. Dickerson’s work bridges biomechanics and biomaterials engineering with social equity in education. Key areas include: Mechanical properties of biological interfaces (e.g., bone-cartilage junctions) Development of biomaterials for tissue repair using 3D printing and electrospinning Anti-marginalization strategies in engineering education, particularly for Black and Brown students Publications Trends: Recent work emphasizes dual themes: (1) Biomedical innovation through advanced material fabrication and (2) Inclusive pedagogy addressing systemic inequities in STEM education. Notable contributions include scaffold designs for osteochondral repair and frameworks for reducing microaggressions in team-based learning. Grants and Advising: No specific grants or advisees listed in the provided text. His work appears to be grant-funded through NIH/National Science Foundation pathways common in biomaterials and education research. Labs and Teams: While not explicitly stated, his research likely involves collaborations with FIU’s Center for Engineering and Computing’s diversity initiatives and biomaterials labs focusing on tissue engineering applications.
Associate Professor Arnold Lining Ju is a biomedical engineer at the University of Sydney's School of Biomedical Engineering, affiliated with multiple institutes including the Heart Research Institute and Sydney Nano Institute. He holds academic positions in both the Faculty of Engineering and Faculty of Medicine & Health. Education: BSc from Peking University, PhD from Georgia Tech and Emory University (USA). Honors include Snow Fellowship, Heart Foundation Future Leader Fellowship, and multiple awards for cardiovascular research innovation. Research focuses on mechanobiology and biomechanics of thrombosis, developing microfluidic devices and organ-on-chip systems. Key projects include AI-driven single-cell nanotools, 3D biofabrication, and anti-thrombotic peptide design. Leads interdisciplinary teams and collaborates internationally with institutions like Harvard and University of Texas. Teaching roles include coordinating advanced cellular biomechanics courses and supervising PhD/Masters students in biomedical engineering and physiology. Over 50 peer-reviewed publications, with contributions to Nature Materials, Nature Communications, and other top journals.
Steven Siciliano is a Professor and NSERC/FCL Industrial Research Chair in In Situ Remediation and Risk Assessment at the University of Saskatchewan's College of Agriculture and Bioresources. He leads the CREATE Human and Ecological Risk Assessment Program. His expertise spans soil toxicology, greenhouse gas dynamics in polar ecosystems, and nitrogen cycle interactions in contaminated environments. Education: Ph.D. in Toxicology, University of Saskatchewan B.Sc. in Biochemistry, Concordia University Research Interests: His work focuses on human-soil interaction dynamics, including soil pollution impacts on human health (e.g., PAH toxicity via soil ingestion) and ecosystem resilience (e.g., nitrogen cycle disruptions). He investigates Arctic/Antarctic soil microbiology, greenhouse gas production in polar deserts, and the ecological effects of pollutants like mercury and petroleum hydrocarbons. His lab is divided into toxicology (e.g., metal cardiovascular effects, soil ingestion models) and ecology (e.g., sub-zero water effects on gene expression, Arctic nitrogen cycles). Teaching: Teaches courses on environmental fate analysis, contaminated site management, and advanced risk assessment methodologies at both undergraduate and graduate levels. Courses include EVSC 420, TOX 820, and EVSC 821. Grants & Labs: Directs the CREATE Program and leads projects funded by NSERC and industry partnerships. His lab integrates fieldwork, molecular techniques, and modeling to address environmental remediation challenges. Collaborates on projects like cryoturbation-driven carbon dynamics and microbial community analysis in agricultural systems. Labs/Teams: Active in soil science research teams, including Arctic soil microbiology and bioremediation innovation groups. Engages in interdisciplinary collaborations with environmental engineers and ecologists to advance in situ remediation technologies.
Prof. Dr.-Ing. Lars Linsen is a full Professor of Computer Science at the Westfälische Wilhelms-Universität (WWU) Münster, leading the VISualization & graphIX (VISIX) group. His primary affiliation is the Institute of Computer Science within the Faculty of Mathematics and Computer Science. He holds adjunct professorships at Jacobs University, Bremen, and has held previous academic roles including Full Professor at Jacobs University (2012–2017) and Associate/Assistant Professor roles in Germany and the U.S. His research focuses on interactive visual analysis, medical visualization, and scientific visualization, with applications in life sciences and engineering. Education: PhD (Dr.-Ing.) in Computer Science from Universität Karlsruhe (2001), M.Sc. (Diplom) in Computer Science (1997), B.Sc. (Vordiplom) in Computer Science (1994). Awards: IEEE Visualization Design Contest Winner (2008, 2022, 2018), Preis des Fördervereins des Forschungszentrum Informatik (2002). Research Highlights: Develops visualization tools for medical imaging (e.g., mass spectrometry imaging, MRI data analysis) and physical simulations (e.g., wildfire spread analysis, asteroid impact modeling). Active in EU-funded projects like Pig-Pro-QuO (surface coatings) and cells-in-motion initiatives. Supervised over 20 PhD/MS advisees, including notable graduates in medical visualization and simulation ensemble analysis. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, and EuroVis. Key works include SciVis contest-winning wildfire analysis frameworks and medical visualization tools for stenosis detection. Teaching: Offers courses on visualization, computer graphics, and computational science. Actively involved in thesis supervision and curriculum development at both WWU Münster and Jacobs University. Grants & Collaborations: Principal investigator on DFG-funded projects (e.g., hemodynamics simulations, ensemble visualization) and industry collaborations (e.g., Tascon GmbH for coating quality analysis). Member of the Cells-in-Motion Interfaculty Centre and CDH board at WWU.
Ali Abbas is a Senior Researcher and Methods Fellow at the MRC Epidemiology Unit within the University of Cambridge's School of Clinical Medicine. His academic background includes a PhD in Computer Science from Manchester Metropolitan University, an MSc in Media Informatics from RWTH Aachen University, and a BS in Computer Science from Mohammad Ali Jinnah University. With over two decades of research experience, he specializes in data-driven approaches including exploratory analysis, statistical modelling, and interactive visualization. His core research focuses on developing environmentally sustainable transport systems with positive public health outcomes, particularly through: Agent-based modeling of transport behaviors Cycling infrastructure and active travel interventions Health impact assessment of urban mobility policies Spatial analysis using GIS technologies Complex systems approaches to public health He leads several major research initiatives including the JIBE project (integrating transport and built environment models), GLASST (global health impact assessment), TIGTHAT (integrated global transport-health tool), National Propensity to Cycle Tool, and Impacts of Cycling Tool. His publication portfolio demonstrates consistent focus on transport-health interactions, physical activity epidemiology, and urban health modelling, with recent work emphasizing policy applications and global scalability. As an advocate for open science, he maintains active GitHub repositories of his computational models. He additionally manages junior researchers and contributes to training initiatives within his unit.
Dr. Craig S. Levin is a Professor of Radiology at Stanford University's Molecular Imaging Program at Stanford (Nuclear Medicine), with courtesy appointments in Physics, Electrical Engineering, and Bioengineering. He also holds memberships in Bio-X, the Cardiovascular Institute, the Wu Tsai Human Performance Alliance, and the Stanford Cancer Institute. Dr. Levin received his B.S. Summa Cum Laude in Physics and Mathematics from UCLA in 1985, followed by M.S., M.Phil., and Ph.D. degrees in Physics from Yale University in 1987 and 1993. His educational achievements were recognized with multiple honors including Phi Beta Kappa, Sigma Pi Sigma, and various departmental awards at UCLA. Dr. Levin's research focuses on the development of novel instrumentation and software algorithms for molecular imaging. His work spans medical physics, biomedical engineering, and instrumentation development with specific emphasis on positron emission tomography (PET), gamma camera technology, and multimodal imaging systems. His laboratory explores new concepts in radiation detection, image reconstruction algorithms, and the application of these technologies to cancer, heart disease, and neurological disorders. A notable aspect of his research involves pushing the physical limits of sensitivity and spatial, spectral, and/or temporal resolutions in imaging systems. His recent publications demonstrate a strong focus on enhancing PET technology, particularly time-of-flight capabilities, with significant work on improving coincidence timing resolution, developing MR-compatible PET systems, and applying deep learning techniques to image reconstruction and normalization. His research shows a clear trajectory toward higher resolution imaging with improved quantitative accuracy for both clinical and preclinical applications. Dr. Levin's scientific achievements have been recognized with numerous awards: American Institute for Medical and Biological Engineering's College of Fellows Academy of Radiology Research Distinguished Investigator Recognition Award National Research Service Award from NIH (1993-5) Pilot Research Award from the Society of Nuclear Medicine (1996) Multiple honors from UCLA including Phi Beta Kappa and Sigma Pi Sigma Full Tuition and Research Fellowship and Bates Graduate Fellowship from Yale University As an educator and mentor, Dr. Levin directs the NIH-NCI funded T32 Stanford Molecular Imaging Scholars postdoctoral training program and serves as a Doctoral Dissertation Advisor for students in Bioengineering and Biophysics. He currently advises five postdoctoral scholars and three doctoral candidates. His laboratory, the Molecular Imaging Instrumentation Laboratory, comprises approximately 20 members who work on developing new imaging technologies and translating them into clinical applications. Dr. Levin has secured substantial NIH funding as Principal Investigator along with grants from other government agencies, industry partners, and private institutions to support his research program. Dr. Levin's Molecular Imaging Instrumentation Laboratory is at the forefront of developing new imaging technologies that bridge physics, engineering, and medicine. The lab focuses on creating instrumentation for in vivo imaging of cellular and molecular signatures of disease, with particular emphasis on pushing the physical limits of imaging performance. Their work spans computer modeling, sensor development, electronics design, data acquisition systems, and advanced image processing algorithms. The lab maintains strong industry partnerships to translate their innovations into products used for patient care worldwide.
Hsei Di Law is a Research Fellow at the National Centre for Epidemiology and Population Health (NCEPH), part of the Australian National University (ANU). She is concurrently pursuing an MSc in Computational Data Analytics at the Georgia Institute of Technology . Her work focuses on data linkage, machine learning, and epidemiological study design using whole-of-population linked datasets. Research Affiliations National Centre for Epidemiology and Population Health (ANU) Centre of Epidemiology for Policy and Practice Linked Data for Better Health group Health Experience and Health Services Research collaborator Research Interests : Hsei Di Law's work centers on large-scale linked administrative datasets and longitudinal data analysis , with applications in environmental contamination (PFAS, asbestos), healthcare economics (out-of-pocket costs), and epidemiology of diseases. She specializes in integrating machine learning techniques with epidemiological study design to address policy-relevant questions. Publication Trends : Her recent publications (2025–2023) analyze healthcare affordability in Australia, PFAS environmental health impacts , and data linkage methodologies . Over 2022–2015, she studied cardiovascular risk under-treatment , COVID-19 healthcare outcomes , and immune system disorders using mouse models. Projects Led : She is involved in multiple projects, including the ACT Asbestos Health Study II , PFAS Health Study , and Whole-of-population linked data project . These projects examine the health effects of asbestos and PFAS contamination , healthcare utilization, and epidemiological modeling . Contact : Email: hsei-di.law@anu.edu.au Phone: +61 2 6125 0547 Location: Building 62A, Room 2.56, ANU
Xian Wu, Ph.D., serves as a Research Assistant Professor in the Department of Pharmacology & Toxicology at East Carolina University's Brody School of Medicine. Her research leverages human stem cell models to investigate developmental vulnerabilities to environmental contaminants in cardiovascular and neural systems, with emphasis on epigenetic mechanisms and disease modeling. Dr. Wu's academic credentials include: Ph.D. in Toxicology from the University of Georgia M.S. in Biomedicine from East China Normal University B.S. in Biotechnology from Anhui University Her postdoctoral training comprised a Fellowship at the National Institute of Environmental Health Sciences and an ORISE Fellowship at the U.S. Food and Drug Administration. Research focuses on creating human stem cell-derived organoid systems to model developmental toxicology, particularly examining cardiac and neural development under chemical exposure. The laboratory employs fluorescence reporter systems and RNA-seq to identify critical vulnerability windows during early development, with recent work targeting Parkinson's disease mechanisms through dopaminergic neuron models and cardiac fibrosis via advanced organoids. Methodological innovations include high-content imaging for neurogenesis quantification and epigenetic pathway analysis. Publication trends (2016-2025) demonstrate consistent advancement in stem cell-based toxicology testing, with increasing emphasis on micro/nanoplastics risk assessment, arsenic neurotoxicity mechanisms, and doxorubicin cardiotoxicity modeling. The work bridges environmental health, epigenetics, and regenerative medicine through interdisciplinary approaches. Scientific recognition includes: 2025 SPARC Award (ECU) 2024 Top Abstract Award (Developmental Origins of Health and Disease Society) 2024 NIEHS P30 Center Travel Award 2023 ECU Research and Creative Activity Award Dr. Wu actively mentors graduate researchers including Ph.D. candidate Cate Duncan and M.S. students Kamilah Muhammad and Bailey Skeen, alongside undergraduate Bryce Tilghman. Former trainees McKyrah Brown and Monica Cross completed honors theses in the laboratory. Current grants include ECU's SPARC Award funding stem cell model development for environmental contaminant testing. The BSOM 6S-11 laboratory maintains specialized capabilities in cardiac and cerebral organoid generation, fluorescence-based toxicity screening, and RNA-seq epigenetic analysis. Collaborative networks include the National Institute of Environmental Health Sciences and ECU's Center for Human Health and the Environment, supporting translational research on developmental vulnerability periods.
