Dr. Paul Bruce is a Reader in High-Speed Aerodynamics at Imperial College London's Department of Aeronautics. He directs experimental research utilizing supersonic and hypersonic wind tunnels to study shock wave interactions and atmospheric re-entry vehicle design. Research spans high-speed boundary layer transitions, aeroelastic stability of deployable structures, and optimization of atmospheric entry systems. Work integrates computational modeling with experimental validation. Publications consistently address flow control mechanisms, experimental techniques for high-speed testing, and aerodynamic design innovations for space exploration. Teaches undergraduate courses in aircraft aerodynamics and aerothermodynamics. Research involves collaborations with space agencies and utilizes Imperial College's advanced wind tunnel facilities.
Ed Pickering is a Senior Lecturer in Metallurgy and Materials Engineering at the University of Manchester. He has held roles since 2015, advancing to Reader in 2023. His affiliations include the Henry Royce Institute (Research Area Lead for Advanced Metals Processing), the Advanced Metallics System CDT and Fusion CDT Management Boards, and industrial technical advisory panels. Ed’s work bridges academic and industrial collaboration with Rolls-Royce, UKAEA, Airbus, EDF, and Sheffield Forgemasters. Ed completed his undergraduate studies (2011) and PhD (2014) in Materials Science at the University of Cambridge, followed by a Research Associate role in Cambridge’s Rolls-Royce UTC. His academic trajectory includes: Senior Lecturer (2019–present) Reader (2023–present) Ed’s research focuses on phase transformations, microstructural characterization, and alloy development for nuclear (fission/fusion) and aerospace applications. Key themes include optimizing processing routes to enhance material properties while minimizing waste and environmental impact. His studies frequently address steel, high-entropy alloys, and novel refractory alloys, emphasizing their service performance under extreme conditions. His scientific contributions span structural integrity assessment of welded joints, machine learning applications in metallurgy, and material flow uncertainties in forging. He has also advanced heat treatment optimization for reactor steels and explored cobalt-free hardfacing alloys. Frank Fitzgerald Medal (2017) Grunfeld Memorial Medal (2021) In advising and grants, Ed leads the Materials Performance Centre (MPC) and co-leads the NEWAM project on wire-additive manufacturing. He supervises research across these initiatives and collaborates with over 30 PGR students in interdisciplinary teams. His work also involves managing technical facilities like the Advanced Metal Processing platform. Ed’s laboratory affiliations include the MPC and WAAM-based Engineering and Process Metallurgy groups, where he explores sustainable materials solutions for energy and aerospace industries.
Dr. TAN Wee Kek is an Associate Professor (Educator Track) in the Department of Information Systems and Analytics at the National University of Singapore's School of Computing. He served as Assistant Dean in the School's Office of Student Life from 2019 to 2024 and has been a Fellow of the NUS Teaching Academy since 2017. He holds a Doctor of Philosophy in Information Systems and Bachelor of Computing in Information Systems (First Class Honours) from NUS, and previously earned a Diploma in Computer Information Systems from Singapore Polytechnic. His research focuses on Technology-Enhanced Learning (TEL), particularly artificial intelligence applications in education, and consumer-based information technology including online decision aids, social computing, virtual worlds, and consumer cloud services. His methodological approach primarily employs design science paradigms. Publication analysis reveals his scholarly work spans educational technology, e-commerce systems, human-computer interaction, and information systems pedagogy, with recent emphasis on learning analytics and AI-enhanced educational frameworks. Major Honors: Commendation Medal from Singapore's President (2017) Multiple Annual Teaching Excellence Awards (2009-2024) Crystal Service Award, WorldSkills Singapore Council (2018) Lee Kuan Yew Award for Mathematics and Science (2001)
David Thesmar is the Franco Modigliani Professor of Financial Economics and Professor of Finance at MIT Sloan School of Management. He holds a BA in physics and economics from École Polytechnique and a PhD from the Paris School of Economics. Thesmar has served on the council of economic advisors to the French prime minister (2007-2013) and is a scientific adviser to the European Systemic Risk Board. His research examines corporate finance, financial intermediation, entrepreneurship, and behavioral economics, with recent focus on financing constraints and systemic risk in banking. He has received the Brattle Group Distinguished Paper Prize for his contributions to financial economics.
Madeleine Wyburd is an Associate Member of the Department of Computer Science at the University of Oxford. Her research focuses on advancing medical imaging technologies through deep learning and computer vision, particularly in the domain of fetal ultrasound analysis. She specializes in developing algorithms for 3D ultrasound reconstruction, anatomically plausible segmentation, and automated assessment of fetal brain development. Her work bridges computer science and clinical medicine, emphasizing applications in obstetrics and prenatal care. Key contributions include techniques like RapidVol for real-time 3D ultrasound volume reconstruction and TEDS-Net, a topology-preservation network for medical image segmentation. She also explores test-time adaptation methods to improve subcortical segmentation accuracy in fetal brain imaging. Wyburd's research integrates interdisciplinary methodologies from biomedical engineering and algorithm design. Recent projects analyze cortical plate development in second-trimester fetuses and compare 3D ultrasound with MRI volumetric measurements to enhance clinical diagnostic reliability. Her work aims to improve prenatal care through AI-driven tools that standardize fetal biometry assessment and reduce human error in clinical workflows. She collaborates with global institutions, as evidenced by her participation in the 34th World Congress on Ultrasound in Obstetrics and Gynecology. Her studies often address practical challenges like sparse-sampling in intrapartum ultrasound and normative brain maturation tracking up to 2 years post-birth.
Dr. David T Wong is a Professor in the Dentistry Department and Head and Neck Surgery at the University of California Los Angeles. With dual appointments across departments, he leads groundbreaking research at the intersection of molecular biology, diagnostics, and oral medicine. His work has established UCLA as a global leader in salivary diagnostics research. Dr. Wong earned his BSc in Biochemistry from Simon Fraser University in 1977, followed by a DMD in Dental Medicine from the University of British Columbia in 1981. He completed advanced training at Harvard with a DMSc in Molecular Biology (1985) and a Certificate in Oral Pathology from Harvard School of Dental Medicine (1985). His research focuses on salivary diagnostics for disease detection, particularly in oral/head and neck cancer. Dr. Wong pioneered the field of "Salivaomics" - the comprehensive study of saliva as a diagnostic fluid containing proteomic, genomic, transcriptomic, metabolomic, and microbiome information. His laboratory spearheads high-throughput technologies to identify genomic and proteomic determinants of oral cancer progression, with emphasis on developing non-invasive diagnostic tools. Key areas include liquid biopsy technologies (particularly saliva-based), extracellular RNA communication, and the development of point-of-care diagnostic devices like the Oral Fluid NanoSensor Test (OFNASET). Analysis of his recent publications reveals a strong trend toward clinical translation of salivary biomarkers, with increasing focus on Sjögren's Syndrome diagnostics, liquid biopsy applications for cancer detection, and the development of novel technologies like EFIRM (Electric Field-Induced Release and Measurement) for ultra-sensitive detection of biomarkers in saliva. His work bridges basic science with clinical applications, particularly in early cancer detection and monitoring. Dr. Wong has received extensive NIH funding as Principal Investigator for numerous projects, including multiple R01, U01, and T32 grants focused on salivary diagnostics, oral cancer biomarkers, and dentist-scientist training programs. His research funding spans over two decades, demonstrating sustained impact and relevance in the field. He leads the Wong Lab, which functions as an interdisciplinary research hub bringing together experts in molecular biology, engineering, dentistry, and oncology. The lab has been instrumental in establishing saliva as a viable biofluid for liquid biopsy applications, particularly for detecting actionable mutations in human cancers. Current research directions include refining EFIRM technology for clinical implementation and expanding the applications of salivary diagnostics to systemic diseases beyond oral conditions.
Colin Britcher is a Professor in the Department of Mechanical & Aerospace Engineering at Old Dominion University (ODU), affiliated with NASA Langley and the National Institute of Aerospace. He has held roles including Deputy Director for Education at AIAA Region I and led the Center for Experimental Aeronautics. His research focuses on wind tunnel test techniques, magnetic suspension systems, and experimental aerodynamics, with applications to planetary entry capsules and drone stability. Education: Ph.D. in Aeronautics and Astronautics, Southampton University (1983) B.S. in Aeronautical Engineering, University of Southampton (1978) Research Interests: Wind tunnel design and dynamic stability testing Magnetic suspension systems for aerodynamic measurements Unmanned aerial vehicles (UAVs) and propeller aerodynamics Boundary layer effects and flowfield analysis His recent work includes developing wind tunnel techniques for multi-rotor drones and planetary entry vehicles, as well as textbook authorship on wind tunnel design. Grants & Awards: $1.04M Virginia Institute for Performance Engineering grant (2023) Leadership in $355K NIA Director of Graduate Programs role (2014–2017) 2004 NASA Honorary Superior Accomplishment Award 1995 NASA Turning Goals into Reality (TIGR) Award Labs & Collaborations: Collaborates with NASA Langley on magnetic suspension systems Developed the NASA/ODU 6-inch Magnetic Suspension and Balance System (MSBS)
George Hripcsak is the Vivian Beaumont Allen Professor of Biomedical Informatics and Director of Medical Informatics Services at New York-Presbyterian Hospital, Columbia University. He holds affiliations with the Vagelos College of Physicians and Surgeons and the Data Science Institute (DSI). His expertise spans clinical informatics, electronic health records (EHRs), and medical knowledge representation standards. Hripcsak earned degrees in chemistry, medicine, and biostatistics, and is a board-certified internist. Research focuses on leveraging EHR data for clinical research and patient safety through data mining and causal inference techniques. Notable contributions include the Arden Syntax (a national standard for medical knowledge representation) and leadership in the Observational Health Data Sciences and Informatics (OHDSI) network. He chairs the AMIA Standards Committee and has advised federal health informatics policies under HIPAA. His academic awards include Fellowships in the American College of Medical Informatics (1995) and New York Academy of Medicine. Current projects emphasize federated learning, genomic risk prediction, and large-scale real-world evidence analysis through initiatives like LEGEND-T2DM and All of Us Research Program. Educations: MD, Biostatistics, Chemistry Labs/Teams: OHDSI, DSI, Medical Informatics Services Grants & Funding: Not explicitly listed in provided texts
Ying Zhang serves as an Assistant Professor in the Department of Psychology within Clarkson University's Lewis School of Health & Life Sciences, where her research examines developmental trajectories of cognitive, social, and emotional functioning from early childhood through emerging adulthood. Her work emphasizes contextual influences including cultural dynamics, socioeconomic conditions, and family relationships on self-regulation development. Her educational background includes: Ph.D. in Psychology from Syracuse University (2021) M.Ed. in Education from Jilin University (2012) B.Eng. in Engineering from University of Jinan (2008) Grounded in Diversity Science , Dr. Zhang investigates ecological influences on child self-regulation, particularly examining how intimate partner violence exposure, parental mental health, and socioeconomic disparities create pathways for risk and resilience. Her methodological approach integrates advanced statistical modeling with longitudinal designs, latent profile analyses, and machine learning techniques to analyze large secondary datasets, generating insights applicable to real-world interventions for vulnerable populations. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research streams: (1) intricate mechanisms linking intimate partner violence to child self-regulation through parenting stress pathways, (2) socioeconomic and cultural influences on developmental outcomes using machine learning methodologies, and (3) diversity promotion in higher education contexts. Her work increasingly incorporates technology applications, including AI-based violence detection systems. Dr. Zhang actively involves undergraduate researchers in her projects, as evidenced by numerous student co-authorships, and teaches courses including Introduction to Psychology, Cultural Psychology, Diversity Science, and Prenatal/Child Development. Her office is located in Clarkson's Science Center (Box 5825) with open hours Mondays and Fridays 1-3:30pm.
Associate Professor at the University of Klagenfurt , affiliated with the Department of Management Control and Strategic Management under the Faculty of Economics and Law . Research focuses on agent-based modeling applied to organizational dynamics , complex systems , and managerial economics . Holds a doctoral degree in Social Sciences and Economics (2012) and venia docendi in Business Economics (2018) . Core faculty member in the Self-Organizing Systems research cluster Academic editor for PLoS ONE and editorial board member for multiple journals Recipient of the 2021 Advancement Award (Humanities/Social Sciences) from Carinthian government Research integrates computational simulation with organizational theory , examining phenomena like decentralized task allocation , incentive mechanisms , and reproducibility in social sciences . Teaching portfolio includes business analytics , management control , and scientific modeling at undergraduate and graduate levels. Recent publications explore organizational resilience , team coordination dynamics , and financial modeling using agent-based simulation techniques. Active participant in international conferences like Social Simulation Conference and European Conference on Operational Research .
Ramana Vinjamuri is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He holds a secondary appointment as Visiting Professor at the Indian Institute of Technology, Hyderabad, India. His academic journey includes a Ph.D. in Electrical Engineering from the University of Pittsburgh (2008), M.S. in Bioinstrumentation from Villanova University (2004), and B.Tech. in Electrical and Electronics Engineering from Kakatiya University (2002). Dr. Vinjamuri's research focuses on Brain-Machine Interfaces (BMIs) for upper-limb prostheses control , neuroprosthetics and exoskeletons , machine learning in motor control , and neurophysiological signal processing . His work extends synergy-based models to control 37-dimensional hand movements, addresses human-robot interaction through emotionally intelligent systems, and develops neurotechnologies for substance use disorder using wearable sensors and AI. NSF CAREER Award (2019) NSF IUCRC BRAIN Center Planning Grant (2020) Harvey N Davis Distinguished Teaching Assistant Professor Award (2018) His publications demonstrate expertise in EEG and EMG signal analysis , deep learning for motor decoding , synergy modeling , and humanoid robot control . The Vinjamuri Lab at UMBC involves graduate, undergraduate, and high school researchers, with international collaborations in India and the US.
Timothy K. Minton is a Professor in the Department of Aerospace Engineering Sciences at the University of Colorado, Boulder, and a member of the Aerospace Mechanics Research Center (AMREC). He holds a PhD from the University of California, Berkeley (1986) and a BS from the University of Illinois, Urbana-Champaign (1980). His research focuses on gas-phase and gas-surface reaction dynamics, particularly in hypersonic flow environments and space material degradation. He has held editorial roles at The Journal of Spacecraft and Rockets and The Journal of Physical Chemistry , and has been recognized with prestigious awards including Fellowships from the American Physical Society (2015) and American Association for the Advancement of Science (2012). Dr. Minton’s work emphasizes understanding atomic oxygen interactions with satellite materials, shock layer chemistry, and material durability in low-Earth-orbit environments. His innovations include the development of the Table-Top Shock Tunnel (TTST) for rapid material testing and durable coatings for space applications. He has also contributed to advancing models for carbon oxidation and nitridation processes. His awards highlight leadership in aerospace and chemistry, including the NASA Monetary Award (1995) for semiconductor etching innovations and the Charles & Nora Wiley Award (2002) for meritorious research. He maintains a courtesy appointment in the Department of Chemistry at CU Boulder and actively collaborates with industry (e.g., Skeyeon, Inc.) and international institutions.
Ed Hopkins is a Professor of Economics at King's College London and the Interim Head of the Economics Department within the King’s Business School. He holds a PhD from the European University Institute in Florence, Italy, and has held positions at the University of Edinburgh and as a visiting scholar at institutions including the California Institute of Technology and the University of British Columbia. His research focuses on game theory, behavioral economics, and social economics, with particular emphasis on topics such as tournament models, inequality, learning dynamics, and experimental economics. Key areas of interest include status concerns, marriage matching, and the implications of non-standard preferences in strategic interactions. Ed has contributed extensively to experimental economics, testing theoretical predictions in laboratory settings. He is actively involved in PhD supervision, accepting students for doctoral research. His work spans theoretical and empirical analyses, with notable contributions to understanding cyclical behavior in strategic situations, the role of information in decision-making, and the interplay between economic inequality and risk-taking.
Christopher Bailey is a Professor of Advanced Semiconductor Packaging and Director of the Centre for Advanced Semiconductor Packaging at Arizona State University (ASU). He previously served as Professor of Computational Mechanics & Reliability and Associate Dean for Research at the University of Greenwich, UK. At ASU, he leads research on advanced semiconductor packaging, including roles as Principal Investigator (PI) and Co-Investigator (Co-I) on major projects such as the SRC-funded Thermo-Mechanical Modelling and US Chips Act initiatives (e.g., SWAP-Hub, SHIELD, ITSI). His research focuses on semiconductor packaging reliability, thermal management, co-design methodologies, and multiphysics modeling. Education: MBA (Technology Management), Open University, UK PhD, Thames Polytechnic, UK Research Interests: Advanced Semiconductor Packaging Thermal Management Solutions Co-Design and Multiphysics Modeling Reliability of Electronic Components His work integrates computational mechanics, materials science, and engineering to address challenges in high-reliability electronics. Recent projects emphasize predictive modeling for semiconductor packaging failures under thermal-mechanical stress. Awards: IEEE Region 8 Europe Award (2024) IEEE David Feldman Award (2022) Visiting Professorships at IIT Kharagpur (2018/2022) and Hong Kong (2018) Service & Leadership: Former President of IEEE Electronics Packaging Society (2020–2021) Associate Editor for IEEE Transactions on Components, Packaging, and Manufacturing Technology Conference Leadership (e.g., Program Chair for IEEE PAINE 2024) He has secured over $40M in research funding and authored 400+ archival papers, with expertise spanning industry collaborations (e.g., BAe Systems, Rolls Royce) and government advisory roles (EPSRC Peer Review College, UK Research Excellence Framework).
Joseph Kulas serves as an Associate Professor of Psychiatry at Yale School of Medicine, with a primary appointment in the Department of Psychiatry. His academic career at Yale reflects his specialization in clinical neuropsychology with a particular focus on veterans' mental health issues. Dr. Kulas's primary research interests center on clinical neuropsychology, particularly in the assessment and treatment of veterans with PTSD, traumatic brain injuries, and other service-related conditions. His work spans neuropsychological assessment methodologies, pain management in dementia patients, cognitive-behavioral therapy applications for insomnia among veterans, and performance validity testing. He has made significant contributions to psychometrist training standards and professional guidelines within neuropsychology. His publication record demonstrates consistent engagement with professional organizations, particularly through his annual reports for the AACN (American Academy of Clinical Neuropsychology), ABCN (American Board of Clinical Neuropsychology), and AACNF (American Academy of Clinical Neuropsychology Foundation). These publications reflect his leadership role in shaping professional standards and practices in clinical neuropsychology. Dr. Kulas has collaborated extensively with researchers including Robin Masheb and others on veterans' health issues, particularly focusing on pain management, sleep disorders, and quality of life assessments. His research demonstrates a strong commitment to evidence-based practice in neuropsychological assessment and treatment.
