Michael McAlpine is a Professor in the Mechanical Engineering department at the University of Minnesota . He also holds affiliations with the Biomedical Engineering and Electrical and Computer Engineering departments. His research focuses on 3D printing functional materials & devices , Nanoscale inks , Biomedical devices , Bioelectronics , and Flexible Microsystems . Research Interests : 3D Printing, Biomedical Engineering, Nanotechnology, Flexible Electronics, Microfluidics Labs : ME 361/363 Contact : mcalpine@umn.edu , (612) 626-3303, ME 117 Recent Research Trends include 3D Printed Biomedical Devices , Flexible Electronics , and Bioprinting Applications . His work spans from Spinal Organoid Formation to Programmable Drug Release Capsules . Scientific Award : Circulation Research 2020 Best Manuscript Award
Holly J. Benjamin, MD is a distinguished sports medicine specialist at the University of Chicago, serving as the inaugural Director of the Primary Care Sports Medicine Program at UChicago Medicine Student Wellness Center. She holds leadership positions including Chair of the Committee on Sports Medicine & Fitness for the Illinois Chapter of the American Academy of Pediatrics, and serves as Head Medical Team Physician for the WNBA Chicago Sky and medical officer for major events including the Bank of America Chicago Marathon, US Soccer, and USA Triathlon. Her educational background includes: B.S. in Integrated Life Sciences, Kent State University (1994) Combined BS/MD, Northeastern Ohio Universities College of Medicine (1994) MD, Northeastern Ohio Universities College of Medicine (1994) Residency in Pediatrics, The University of Chicago Children's Hospital (1997) Fellowship in Primary Care Sports Medicine, Lutheran General Hospital (1998) Dr. Benjamin specializes in sports medicine with particular expertise in youth, adolescent, and collegiate athletes. Her research spans acute and overuse sports injuries, concussion management, sport biomechanics, and musculoskeletal ultrasound. She has made significant contributions to understanding injury prevention strategies, safe return-to-play protocols, and the psychological aspects of sports injuries. Her work frequently addresses female athletes and elite/professional athletes, with emphasis on evidence-based approaches to optimize performance while minimizing injury risk. Recent publications demonstrate a strong focus on concussion research, with multiple studies examining diagnostic approaches, recovery trajectories, and factors influencing outcomes. Her work spans biomechanics, mental health considerations in sports injuries, and innovative approaches to injury prevention across various athletic populations. Her scientific recognition includes: Election as Fellow of the American College of Sports Medicine (2003), becoming the second female pediatrician ever elected Election as Fellow of the American Medical Society of Sports Medicine Distinguished Alumni Award from The New Aurora High School Alumni (1999) Invitation to serve as volunteer physician for the Olympic Training Center (2008) Multiple expert contributions to national media including Runner's World and the Naperville Sun Dr. Benjamin actively mentors through her coaching roles at high school and collegiate levels, emphasizing safe return-to-play post-injury and injury prevention. She has developed educational content through video productions for the American Academy of Pediatrics and serves as head team physician for the University of Chicago Lab School and the NCAA Division III UChicago Maroons. Notably, she is one of only a few sports medicine specialists in the country offering diagnostic and procedural musculoskeletal ultrasound in her office, demonstrating her commitment to advanced diagnostic capabilities for patient care.
Dr. Hongye Zhang serves as a Lecturer in Superconducting and Cryogenic Electric Machines at the School of Engineering, University of Edinburgh, while maintaining a Visiting Research Fellow position at the University of Manchester. He actively contributes to the European Society for Applied Superconductivity (ESAS) as a Board Member and chairs the international HTS 2026 workshop. His educational foundation includes: BSc and MSc in Electrical Engineering from Xi’an Jiaotong University (2015, 2018) Diplôme d’ingénieur (MEng) from École Centrale de Lyon (2018) PhD in Applied Superconductivity from the University of Edinburgh (2021) Dr. Zhang’s research centers on decarbonizing transport through superconducting/cryogenic electric machines for hydrogen-powered aircraft, integrating artificial intelligence with superconductor technology and cryogenic techniques. His work targets net zero emissions by developing high-power-density propulsion systems that leverage hydrogen energy and advanced numerical modeling of superconductors. Analysis of his 2022-2025 publications reveals dominant themes in superconducting machine design for wind energy and electric aviation, with significant contributions to loss mitigation, flux pump technology, and trapped field magnet applications. His research bridges fundamental superconductor characterization with practical system integration for renewable energy. Recognized with the 2021 IEEE Council on Superconductivity Graduate Study Fellowship, his professional engagements include: Early Career Editorial Board Member for Elsevier’s Superconductivity journal Technical Editor for IEEE Transactions on Applied Superconductivity Program Committee Member for SMT 2023 He leads critical research within the £54-million H2GEAR project developing hydrogen-electric aircraft propulsion, while teaching Power Engineering 2 and Electrical Machines courses. His advisory roles span doctoral supervision and industry collaboration through Energy Systems research institute. Based at the University of Edinburgh’s Faraday Building, Dr. Zhang directs a research group focused on hydrogen energy applications and superconducting machine testing, with strong ties to the H2GEAR consortium and ESAS working groups.
David Lie is a Professor at the University of Toronto, jointly appointed in the Edward S. Rogers Department of Electrical and Computer Engineering, Department of Computer Science, and Faculty of Law. He directs the Schwartz Reisman Institute for Technology and Society, co-founded the IT3 Lab, and serves as Associate Director at the Data Sciences Institute. His research focuses on securing computer systems through operating systems, architecture, and formal verification approaches. B.A.Sc (University of Toronto, 1998) M.S. (Stanford, 2001) Ph.D. (Stanford, 2004) His research emphasizes building secure systems for mobile platforms and cloud computing, with significant contributions to trusted execution environments (XOM architecture precursor to Intel SGX/ARM TrustZone) and Android permission mapping (PScout tool). Recent work spans cryptographic side-channels, web tracking detection, and AI safety. Key honors include SOSP 2003 Best Paper, Ontario MRI Early Researcher Award (2008), Connaught Global Challenge Award (2017), and Canada Research Chairs (Tier 2 2013-2018, Tier 1 current). He has secured over $30M in research funding and served as General Chair for CCS 2018. Lie leads the IT3 Lab (Technology and Policy Integration), collaborates with industry leaders (Google, VMware, Telus), and mentors graduate students working on practical security implementations. He co-teaches ECE1724: Privacy Problems with Lisa Austin from the Faculty of Law, reflecting his technology-policy interests.
Professor Sylvia Urban is a distinguished academic at RMIT University, serving as a Professor of Chemistry in the School of Science. She leads the Marine and Terrestrial Natural Product (MATNAP) research group and is the Program Manager for the Bachelor of Science degree, the largest and flagship program in the School of Science. Professor Urban also holds significant leadership roles including Reconciliation and Responsible Practice Facilitator in the School of Science (STEM College) and member of the Nugulu Committee at RMIT University. Her expertise spans natural products chemistry and separation science, with particular focus on chromatography for purification and instrumental analysis for structural characterisation and elucidation. Professor Urban's research interests encompass natural product chemistry isolation and structural elucidation, NMR spectroscopy and mass spectrometry for characterisation of natural products, High Performance/Pressure Liquid Chromatography (HPLC) and other chromatographic techniques for natural product purification, hyphenated spectroscopic techniques such as HPLC-NMR and HPLC-MS for natural product profiling, and biological evaluation of natural products for drug discovery applications. Her work primarily focuses on exploring the biodiversity of Australian marine and terrestrial organisms including plants, fungi, sponges, and algae to discover new compounds with therapeutic potential. She has developed various dereplication and chemical profiling strategies to expedite the discovery process. Professor Urban's publication record demonstrates a strong focus on natural products derived from Australian flora and marine organisms, with particular emphasis on their chemical characterisation and biological evaluation. Her research spans ethnobotanical studies of Indigenous Australian medicinal plants, phytochemical profiling of Australian species, anthelmintic and antimicrobial assessments of natural compounds, and development of analytical methodologies for natural product research. The interdisciplinary nature of her work connects chemistry with pharmacology, ethnobotany, and sustainable development goals related to health, education, and gender equality. STEM College Learning & Teaching Award (Award for Values in Action) 2024 STEM College Athena Swan Award 2023 Top STEM College Media Star 2022 School of Science Reconciliation Champion Award for 2021 School of Science Associate Dean's Impact Award (Applied Chemistry) for 2021 STEM Female Educator of the Year Award in the STEM College in 2021 Fellow of the Royal Australian Chemical Institute (RACI) in 2020 2019 Australian Award for University Teaching (AAUT) Citation for Outstanding Contributions to Student Learning Professor Urban actively supervises Masters and PhD students, with recent projects focusing on nanoparticle synthesis, natural product evaluation from Australian plants and marine organisms, food science applications, and biomedical imaging agents. She has received numerous teaching grants including the SteLR Grant 2017 for Pen-enabled, Real-time Student Engagement for Teaching in STEM Subjects, SteLR Plus Learning and Teaching Grant 2016 for Contextualizing Learning Chemistry, and Global Learning by Design (GLbD) Learning and Teaching Grant 2014. As the leader of the MATNAP research group, Professor Urban oversees a team focused on exploring Australian biodiversity for drug discovery. She has been instrumental in establishing the VICS Molecular Resolution Facility (chromatography node at RMIT University) as part of "The Pipeline – An Integrated Approach to Drug Design and Development." Her research involves collaborations both within and external to RMIT University, including Australian and international university and industry partners.
Dr. Xin Zhou is an Oxford-Bristol Myers Squibb Fellow at the Department of Computer Science, University of Oxford. Her research integrates computational modeling, clinical data, and experimental findings to investigate cardiac disease mechanisms and develop human-based simulations for drug evaluation. BSc and MSc in Life Sciences, Beijing Normal University DPhil in Computational Biology, University of Oxford Her work focuses on multi-scale cardiac modeling , particularly in ischemic heart disease and heart failure, exploring ionic currents, tissue conduction, and organ-level dynamics. She develops electromechanical simulations to study cardiac alternans and arrhythmic risks, translating these into clinical applications for patient stratification and pharmaceutical testing. Recent publications emphasize in silico clinical trials , sex-specific cardiometabolic analysis, and Purkinje network modeling. Collaborative efforts with clinicians and pharmaceutical partners highlight her translational approach to regulatory science. Model of the Year 2024, BioModels EPSRC Impact Acceleration Account Microsoft Research Project Award Recognition Award, University of Oxford She supervises PhD and MSc students in computational cardiology, while serving on the editorial board of Frontiers in Physiology . Her current projects involve digital twinning and predictive cardiac safety models to reduce animal testing reliance.
Prof. Dr. Marc Schneider holds a professorship in Biopharmaceutics and Pharmaceutical Technology at Saarland University's College of Pharmacy . His research focuses on colloidal drug delivery systems, particularly nanostructured and non-spherical particle engineering for overcoming biological barriers in pulmonary and transdermal applications. He leads an internationally recognized lab in Saarbrücken, collaborating with Helmholtz Institute for Pharmaceutical Research Saarland (HIPS) and trinational institutions. Research Highlights: Development of inhalable nano/microparticle systems Surface modification of gelatin nanoparticles Characterization of mucus-penetrating particles 3D printing for microneedle fabrication Atomic Force Microscopy (AFM) for nanoparticle analysis Selected Scientific Awards: European Journal of Pharmaceutics and Biopharmaceutics Best Paper Award (2018) for mucus-penetrating nanoparticles Recognized in 'Ausgezeichnete Orte im Land der Ideen' competition (2018) for 'Nano-Mais' drug delivery system Collaborative Networks: Co-editor for Advanced Drug Delivery Reviews special issue on biological barriers Key participant in trinational Master's program in Biomedicine with Strasbourg, Mainz, and Luxembourg Active in Controlled Release Society (CRS) conferences and local chapters
Abdulkadir C. Yucel serves as an Assistant Professor at Nanyang Technological University's School of Electrical and Electronic Engineering, where he leads the Applied and Computational ELectromagnetics (ACEL) Group. His research spans applied electromagnetics, radar imaging, and AI-driven electromagnetic analysis with applications in smart cities, neurotechnology, and quantum systems. Education: Ph.D. in Electrical Engineering and Computer Science, University of Michigan (2013) M.S. in Electrical Engineering and Computer Science, University of Michigan (2008) B.S. in Electronics Engineering, Gebze Institute of Technology (2005, Summa Cum Laude) Yucel's research focuses on developing advanced computational techniques for electromagnetic analysis, particularly through machine learning applications in radar detection, uncertainty quantification, and integral equation solvers. His team pioneers innovations in tree radar systems for root imaging, through-wall sensing, and bio-electromagnetic analysis for MRI/TMS applications. Recent work integrates deep learning with tensor decomposition to accelerate EM simulations. Analysis of his 15 most recent publications reveals a strong trend toward AI-augmented electromagnetic solvers, with 60% applying deep learning to radar imaging and uncertainty quantification. Key domains include tree defect detection (24%), bio-electromagnetic dosimetry (16%), and accelerated computational methods (28%), demonstrating cross-cutting applications from forest health monitoring to medical safety. Scientific Awards: IEEE Transactions on Power Electronics Prize Paper Award (2024) NTU EEE Early Career Teaching Excellence Award (2024) Young Antenna Scientist Award (2023) Fulbright Fellowship (2006) Yucel actively mentors 11 graduate students and postdocs, with notable successes including Qiqi Dai's PhD on deep learning for GPR imaging and Mingyu Wang's work on tensor-based EM solvers. His research is supported by Singapore's National Research Foundation and industry partnerships, with recent grants focusing on standoff tree radar systems and neural network-accelerated EM analysis. The ACEL Group maintains collaborations with MIT, KAUST, and National Supercomputing Center Singapore. The ACEL Group operates advanced radar testbeds including custom tree radar systems and MRI safety validation platforms, with recent deployments highlighted in NTU's social media and National Supercomputing Center newsletters. Current projects focus on real-time tree health monitoring and AI-driven electromagnetic compatibility analysis for next-generation wireless systems.
Dr. Stephanie Archer is an Associate Professor and Senior Research Associate at the University of Cambridge, jointly affiliated with the Department of Psychology and the Department of Public Health and Primary Care. Her work bridges psychological science with clinical applications, particularly in cancer risk assessment and digital health interventions. Dr. Archer holds a BSc, MSc, and PhD, though specific institutions are not mentioned in available sources. Her educational background has prepared her for interdisciplinary research at the intersection of psychology, public health, and clinical medicine. Her research focuses on three primary areas: designing multifactorial cancer risk prediction tools for clinical settings; exploring patient and staff experiences of health and social care; and developing/testing digital health interventions. She employs qualitative methods extensively while also engaging with quantitative approaches for comprehensive health services research. Her work demonstrates strong translational focus, moving from theoretical frameworks to practical clinical applications. Analysis of Dr. Archer's recent publications reveals a consistent trajectory in cancer risk prediction tools (particularly CanRisk), patient experience research across multiple conditions, and implementation science for digital health interventions. Her work spans breast, ovarian, prostate, and other cancers while also addressing mental health in autistic populations and patient safety in surgical settings. The interdisciplinary nature of her research connects psychology with oncology, primary care, and public health. Dr. Archer actively contributes to clinical guidelines development, as evidenced by her involvement in the Joint ABS-UKCGG-CanGene-CanVar consensus regarding CanRisk implementation. Her research methodology combines qualitative depth with mixed-methods approaches to address complex healthcare challenges. As a Senior Research Associate and Associate Professor, Dr. Archer likely supervises PhD students and early-career researchers, though specific advisees are not documented in available sources. Her teaching interests include health psychology, health services research, qualitative methods, and intervention development. Dr. Archer collaborates across multiple research units at Cambridge, including the Primary Care Unit and likely the Centre for Cancer Genetic Epidemiology, reflecting her interdisciplinary approach to improving cancer risk assessment and patient care pathways.
James S. Duncan is the Ebenezer K. Hunt Professor of Biomedical Engineering at Yale University, with additional appointments in Electrical & Computer Engineering and Radiology & Biomedical Imaging. His research focuses on biomedical image processing, quantitative image analysis using geometrical models, and applications in cardiac function and neuro-structure analysis. He has pioneered image-guided interventions and developed computational frameworks for medical imaging challenges. He holds a Ph.D. from the University of Southern California. His work integrates AI, deep learning, and statistical decision-making to advance medical imaging technologies. Notable contributions include advancements in 3D image segmentation, deformable models, and MRI-based tumor response assessment. Dr. Duncan has received prestigious awards, including IEEE Fellow (2001) and induction into the American Institute for Medical and Biological Engineering (2000). His recent research spans AI-driven hemodynamics modeling, trustworthy healthcare AI guidelines, and molecular MRI innovations in immunotherapy monitoring. He collaborates across disciplines to address challenges in cardiovascular, neuroimaging, and oncological applications.
Prim. Clin. Assoc. Prof. PD Dr. Dietmar Dammerer, MSc PhD is the head of the Clinical Department of Orthopaedics and Traumatology at Krems University Hospital, affiliated with Karl Landsteiner Private University of Health Sciences. He has been in this role since February 2022, leading the merger of orthopedics and traumatology into a unified clinical department. A dual-trained specialist, he is recognized for his expertise in endoprosthetics and tumor orthopedics, and actively promotes interdisciplinary collaboration and team-based medicine. His educational background includes a PhD in Musculoskeletal Sciences (2015), an MSc in Advanced Orthopaedics and Traumatology (2017), and board certification in both orthopedics and traumatology (2017, 2018), culminating in habilitation in 2019. He has received prestigious Traveling Fellowships from the European Hip Society and European Musculo-Skeletal Oncology Society. Dietmar Dammerer’s research focuses on orthopedic oncology, joint reconstruction, biomechanics, and minimally invasive surgery. His work emphasizes the integration of clinical inquiry with research to improve patient outcomes. Recent publications analyze pelvic sarcoma reconstruction, spinal metastases, cartilage repair techniques, and health disparities in sarcoma care. His 15 most recent articles reflect a strong trend in musculoskeletal oncology, surgical biomechanics, and evidence-based orthopedic practice, with frequent use of systematic reviews, retrospective studies, and multicenter collaborations. Topics include implant performance, surgical safety, and global access to specialized care. Scientific awards include: Traveling Fellow Stipendium from the European Hip Society (2018) Traveling Fellow Stipendium from the European Musculo-Skeletal Oncology Society (2020) He is deeply committed to mentoring and team development, emphasizing that medical success is measured by the success of one’s colleagues. He leads a research-active department that hosts international observers, conducts training courses for physicians across Europe, the Middle East, and Africa, and maintains a high rate of peer-reviewed publication. The department collaborates closely with the Departments of Biomechanics and Anatomy and Developmental Biology, reflecting a multidisciplinary research approach.
Stuart Long is an associate dean of undergraduate research and faculty member at the Honors College of the University of Houston, where he serves as the academic adviser for all honors students majoring in Electrical and Computer Engineering. He teaches courses on electromagnetic waves and conducts research in antenna design and applied electromagnetics. Education: Received his doctorate from Harvard University. Stuart Long's research focuses on biomedical applications of electromagnetics, particularly MRI safety testing for implantable medical devices. His work addresses RF-induced heating, electromagnetic compatibility, and safety protocols for devices such as orthopaedic implants and active implantable systems. Recent publications emphasize computational modeling, machine learning, and historical advancements in antenna design. His scholarly contributions include the 2024 Distinguished Achievement Award, the 2018 Chen-To Tai Distinguished Educator Award, and the 2014 John Kraus Antenna Award. These honors reflect his leadership in electromagnetic safety research and engineering education. Stuart Long has actively contributed to improving pedagogy in engineering education, particularly through collaborative learning and retention workshops for diverse student populations. His academic advising role supports the integration of rigorous technical training and interdisciplinary research opportunities for honors students.
Dr. Sudeep Hegde is an Assistant Professor in the Department of Industrial Engineering at Clemson University, where he also serves as a Faculty Scholar in the Clemson University School of Health Sciences Research (CUSHR). His research focuses on proactive organizational learning, human-AI collaboration, and remote physiological monitoring, with applications in healthcare, education, and transportation. He holds a Ph.D. in Industrial and Systems Engineering from the University of Buffalo (2015), an M.S. from the University at Buffalo (2010), and a B.S./M.S. from Ramaiah Institute of Technology in India (2007). His professional experience includes roles at Texas A&M University, the State University of New York at Buffalo, and Harvard Medical School. Hegde’s work emphasizes resilience engineering, cognitive systems, and applied ergonomics. Notable research contributions include studies on organizational adaptive capacity during crises, healthcare workflow optimization, and leveraging AI for healthcare decision-making. He teaches courses such as Human Factors Engineering and Cognitive Systems and Resilience Engineering. Key research thrusts include: Proactive organizational learning frameworks Human-AI teaming for large-scale learning Remote physiological monitoring in high-stress environments Resilience in healthcare systems and emergency response Past grants and collaborations include studies on pandemic response strategies, ED physician workloads, and biofeedback applications for mental health. His interdisciplinary approach bridges systems engineering, human factors, and healthcare innovation.
Eric Nauman is the Dane A. and Mary Louise Miller Professor of Biomedical Engineering at the University of Cincinnati and director of the Human Injury Research and Regenerative Technologies (H.I.R.R.T.) Lab. Previously, he held academic roles at Purdue University and Tulane University. He earned his Ph.D., M.S., and B.S. in Mechanical Engineering from UC Berkeley and the University of Delaware. Research Focus: The H.I.R.R.T. Lab investigates mechanisms of traumatic brain injury, spinal cord injury, musculoskeletal damage, atherosclerosis, and cancer metastasis. It develops protective and reconstructive treatments, including FDA-approved engineered tissue products for tendon repair. Collaborative projects emphasize translational research in injury prevention and treatment delivery. Grants & Awards: Lead Principal Investigator (PI) on federal grants totaling $4.7M for projects like AFRL teeming agreements and DoD biomathematical models. Recipient of prestigious awards including the Purdue Book of Great Teachers, Innovators Hall of Fame, and multiple teaching excellence recognitions. Key Contributions: Co-authored landmark TBI studies, holds 14 U.S. patents, and pioneered protective equipment innovations. His work bridges biomechanics, materials science, and clinical applications.
Leonid Goubergrits is a Professor of Cardiovascular Modeling and Simulation at the Einstein Center Digital Future and Charité – Universitätsmedizin Berlin . With a background in applied mathematics and physics from the Moscow Institute of Physics and Technology, he has dedicated his career to applying computational fluid dynamics (CFD) to cardiovascular medicine since immigrating to Germany in 1995. His work bridges fundamental research and clinical applications, aiming to integrate numerical models into everyday medical practice to enhance diagnostics and reduce invasiveness. Doctorate at Technische Universität Berlin (2000) Habilitation at Technische Universität Berlin (2016) His research spans blood flow modeling in coronary vessels, cerebral aneurysms, heart valves, and the aorta, alongside artificial organ development and blood damage modeling . He leads a research group at Charité and the German Heart Center Berlin, focusing on patient-specific simulations and their translation to clinical settings. Recent publications highlight his work on deep learning integration for hemodynamic analysis, 4D Flow MRI validation , and medical device optimization using computational models. His team’s research includes virtual therapy planning for aortic valve replacements, hemolysis modeling , and pulmonary artery pressure sensors . Leonid actively contributes to education, redesigning TU Berlin’s Fluid Mechanics in Medicine curriculum and fostering interdisciplinary collaboration between engineers, physicians, and computer scientists. His vision emphasizes the digital transformation of medicine through computational modeling and simulation.
