Dr. Marcel Dettling is a Group Lead in Data Analysis and Statistics at the ZHAW School of Engineering , focusing on predictive analytics, applied statistics, and complex data analysis. He also serves as a Lecturer at ETH Zurich , teaching advanced statistical methods. Education : PhD in Mathematics (2000-2004), ETH Zurich Postdoc in Applied Statistics (2004-2006), Johns Hopkins University His research spans predictive analytics (regression, classification, time series), data mining, and applications in health economics, transportation safety, social sciences , and business analytics . Recent work includes pharmaceutical cost group analysis for Swiss healthcare and predictive maintenance for marine vessels. Selected publications highlight his expertise in flight trajectory modeling , deep learning error mitigation , and statistical frameworks for rehabilitation finance . His projects address diverse fields like crowdworking in nursing, energy optimization for shipping, and customer behavior prediction.
Kareem Ahmed is a Professor in the Department of Mechanical and Aerospace Engineering at the University of Central Florida (UCF) and a faculty member of the Center for Advanced Turbomachinery and Energy Research. He leads research in advanced propulsion and energy systems, focusing on high-speed turbulent combustion, detonations, and hypersonic technologies. His work includes groundbreaking projects in detonation-based propulsion for hypersonic flight and power generation, supported by over $17 million in grants from NASA, AFOSR, and DOE. Education: Ph.D. and M.S. in Mechanical Engineering, University at Buffalo (SUNY) B.S. in Mechanical Engineering, New York State College of Ceramics at Alfred University Research Interests: Ahmed’s expertise spans detonation dynamics, supersonic reacting flows, flow-flame control, and advanced laser diagnostics . His team explores innovations like rotating detonation engines (RDEs) and scramjet combustion systems, with applications in aerospace defense and space exploration. Awards and Recognition: AIAA Associate Fellow American Chemical Society Doctoral New Investigator Award AFOSR Summer Faculty Fellowship UCF Trustee Chair (2025–2030) Grants & Advising: PI of over $17M in research funding; mentors 145+ doctoral, master’s, and undergraduate students. Collaborates with industry leaders like GE, Aerojet Rocketdyne, and Pratt & Whitney. Labs & Teams: Director of UCF’s Center of Excellence in Hypersonic and Space Propulsion, advancing technologies for 15-minute transcontinental flight and clean rocket fuels.
Jiro Katto is a Professor at Waseda University's School of Fundamental Science and Engineering, where he has been conducting research and teaching since 1999. He received his Ph.D. from the University of Tokyo and has established himself as a leading researcher in multimedia signal processing and computer networks. His academic journey includes positions as Associate Professor (1999-2004), Professor (2004-present), and Director at NEDO (2004-2008), along with research experience at NEC C&C Laboratories (1992-1999) and a Visiting Scholar position at Princeton University (1996-1997). Professor Katto's research interests focus on Multimedia Signal Processing and Computer Networks, with particular expertise in video compression, 5G network performance, and learned image compression techniques. His work bridges theoretical advancements with practical implementations, as evidenced by his extensive publications in top-tier conferences and journals. His research group has made significant contributions to point cloud compression, latency compensation in remote systems, and hardware-accelerated video encoding for UHD streaming. His publication record is impressive, with 276 papers cited 3,323 times in Scopus and 6,169 times in Google Scholar, reflecting his substantial impact in the field. His recent work shows a strong trend toward applying deep learning techniques to traditional signal processing problems, particularly in the areas of image and video compression, where his team has developed novel approaches to improve compression efficiency while reducing computational complexity. Electric Telecommunications Promotion Foundation Telecommunications System Technology Award (2023) Takayanagi Kenjiro Foundation Takayanagi Kenjiro Achievement Award (2020) Institute of Image Information and Television Engineers Fellow (2020) Institute of Electronics, Information and Communication Engineers Fellow (2015) IEICE Communications Society Activity Contribution Award (2006) IEICE Academic Encouragement Award (1995) SPIE VCIP 1991, Best Student Paper Award (1991) Professor Katto has served on numerous prestigious committees including IEEE ComSoC Tech News Editorial Board, IEEE Technical Program Committees for major conferences (Globecom, ICC, ICIP), and editorial boards for several academic journals. His leadership in the academic community extends to chairing conferences like IWAIT 2011 and serving as Editor-in-Chief for journals in his field. His research has practical applications in commercial 5G networks, video streaming services, and remote monitoring systems, demonstrating the real-world impact of his work.
Yang (Gilbert) Ye is an Assistant Professor in the Department of Civil and Environmental Engineering at Northeastern University, joining in January 2025. His research focuses on human-AI/robot teaming, automation in engineering, and assistive technologies, with a particular emphasis on human-centric robotics and sensorimotor processes. He holds a PhD in Civil Engineering from the University of Florida (2024), advised by Dr. Eric Jing Du. **Affiliations**: Member of ASCE, IEEE, and HFES. His work integrates VR/AR, robotics (e.g., drones, exoskeletons), and AI to enhance civil engineering workflows and workforce training. He leads the Ye Lab, actively recruiting PhD students and postdocs with coding experience (Python/C++/C#) and backgrounds in engineering or computer science. **Key Research Themes**: Human-robot interaction, construction automation, exoskeleton training, and delayed feedback mitigation in teleoperation. Over 20 peer-reviewed publications in journals like ASCE JoCEN, IEEE Access, and Advanced Engineering Informatics. **Lab Opportunities**: PhD/postdoc applicants require strong academic records (GPA ≥3.5) and coding skills. Undergrad/master students can apply for thesis/research roles. Funding covers tuition, insurance, and stipends.
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.
Brian S Woodard serves as a Teaching Associate in the Department of Aerospace Engineering at the University of Illinois Urbana-Champaign, teaching undergraduate courses including AE 100 (Intro to Aerospace Engineering), AE 140 (CAD), and ENG 100/101 (Engineering Orientation). Education Doctor of Philosophy, Aerospace Engineering, University of Illinois Urbana-Champaign, 2012 Master of Science, Aerospace Engineering, University of Illinois Urbana-Champaign, 2004 Bachelor of Science, Aerospace Engineering, University of Illinois Urbana-Champaign, 2001 Research Interests His research focuses on High-Energy Lasers , Aerodynamics , and Aircraft Icing , with specialized work in electric discharge-pumped atomic iodine and oxygen-iodine laser systems. He investigates plasma discharge geometries for oxygen singlet delta production and their application in high-power laser development, while also studying aerodynamic effects of aircraft icing for flight safety. Publication Trends Publications from 2008-2011 reveal concentrated expertise in laser physics and plasma engineering, particularly in electric discharge pumping mechanisms for iodine-based laser systems. His work demonstrates consistent innovation in resonator design and discharge configuration to enhance laser efficiency, bridging aerospace engineering principles with advanced optical technologies for potential defense and propulsion applications. Scientific Awards No scientific awards were mentioned in the provided text. Advising and Grants Dr. Woodard mentors students through AE 298 RES (Research Seminar Mentoring and Introduction to Research courses), guiding undergraduate research projects. He has instructed over 20 distinct undergraduate courses spanning aerospace fundamentals, computational design, global engineering experiences, and leadership training, though no research grants are documented in the source material. Labs and Teams His research is conducted within Talbot Laboratory (Room 319K) at the University of Illinois, collaborating with prominent researchers including J.W. Zimmerman, G.F. Benavides, and W.C. Solomon on electric oxygen-iodine laser projects.
Parviz Moin holds the Franklin P. and Caroline M. Johnson Professorship in Stanford University's School of Engineering. As founding director of the Center for Turbulence Research (CTR)—a NASA-Stanford consortium established in 1987—he has pioneered computational methods for turbulence physics, including direct numerical simulation and Large Eddy Simulation (LES) techniques. CTR serves as an international hub for turbulence studies across engineering, mathematics, and physics disciplines. Moin's research encompasses computational physics of turbulent flows, with emphasis on boundary layer control, hypersonic aerodynamics, propulsion systems, and aircraft icing. His recent work advances high-fidelity simulations for aerospace applications, particularly developing wall models for LES that accurately capture separation phenomena under complex pressure gradients and Reynolds number effects. Recent publications demonstrate extensive applications of LES to aircraft design challenges, including transonic buffet prediction, high-lift configuration analysis, and icing aerodynamics. Investigations consistently address fundamental turbulence physics while developing practical computational tools for aerospace engineering, with particular focus on hypersonic boundary layers, flow separation mechanisms, and conjugate heat transfer in iced environments.
Lin Chen is the Chair Professor of Finance and Stelux Endowed Professor in Finance at the University of Hong Kong (HKU), serving as Associate Dean (Research and Knowledge Exchange) in the Faculty of Business and Economics. He holds a PhD from the University of Florida and has held academic leadership roles at HKU and Chinese University of Hong Kong (CUHK). His research focuses on financial technology, banking systems, corporate finance, and economic development, with notable contributions to understanding financial resilience during crises and institutional reforms. Educations: PhD/MBA in Finance from University of Florida, B.E. in Engineering from South China University of Technology Leadership roles: Associate Dean (HKU), Board Member of HKU-Standard Chartered FinTech Academy, Currency Board Committee member Research interests span financial innovation , banking competition , corporate governance , and ESG integration . Key projects include RGC Theme-based grants on FinTech stability/inclusion and HK's financial center development. His work is published in top journals like Journal of Financial Economics and Review of Financial Studies . He has advised major institutions including Hong Kong Monetary Authority, World Bank, and China Construction Bank. Awards include the Jensen Prize (2011), Nobel nomination (2016), and honorary professorships from Edinburgh and Berkeley. Grants coordination includes HK$24.4 million FinTech project (2020-2025) and leadership roles in research centers like HKU’s Financial Innovation & Development Centre. Active in editorial roles for Management Science and policy advisory groups. Media engagements include BBC, Bloomberg, and Harvard Law School forums. Current initiatives focus on Web3.0 development in HK and financial inclusion strategies.
Lakshmi N Sankar serves as Regents Professor and Sikorsky Professor in the Guggenheim School of Aerospace Engineering at Georgia Institute of Technology, where he directs the Computational Fluid Dynamics Laboratory and teaches aerodynamics, helicopter theory, and wind energy courses. His research program spans unsteady viscous flow modeling for aircraft, helicopters, and wind turbines since joining the faculty in 1982 after industry experience at Lockheed Martin. Education: Ph.D., Aerospace Engineering, Georgia Institute of Technology, 1977 MSAE, Aerospace Engineering, Georgia Institute of Technology, 1975 B. Tech., Aeronautical Engineering, Indian Institute of Technology, Madras, India, 1973 Research Focus: Professor Sankar's work centers on Computational Fluid Dynamics for rotorcraft aerodynamics and wind energy systems , with significant contributions to icing phenomena and unsteady flow modeling . His recent publications reveal intensifying focus on adverse weather effects (rain/icing), eVTOL conversion challenges, and high-fidelity hybrid modeling techniques for rotorcraft performance prediction. Publication Trends: Analysis of his 2022-2025 publications shows dominant themes in rotorcraft icing (35%), weather impact studies (25%), and advanced CFD methodologies (20%), with growing interest in drone applications and mathematical aspects of fluid dynamics. His work consistently bridges theoretical mathematics with practical aerospace engineering challenges. Scientific Recognition: AIAA Fellow and AHS Technical Fellow NASA Group Achievement Award (2007) and Space Act Software Release Award (2003) Multiple Sigma Gamma Tau Teaching Awards (2005-2015) Dean George C. Griffin Faculty of the Year (2014-2015) Sikorsky Professorship (2018-Present) Mentorship and Collaboration: As recipient of Georgia Tech's Graduate Research Assistant Development Award, he has cultivated extensive student mentorship. His research integrates with the Vertical Lift Research Center of Excellence and Center for 21st Century Universities, securing major industry and NASA funding for rotorcraft innovation. Current projects include physics-based modeling of ice accretion and eVTOL retrofit feasibility studies. Research Infrastructure: The Computational Fluid Dynamics Laboratory serves as his primary research hub, complemented by collaborations through the Vertical Lift Research Center of Excellence where his team develops next-generation modeling tools for military and civilian rotorcraft applications under federal funding programs.
Sheryl Grace is an Associate Professor of Mechanical Engineering at Boston University, leading the Unsteady Fluid Mechanics & Acoustics Laboratory (UFMAL). Her primary appointment is in the Department of Mechanical Engineering within the College of Engineering. She holds a PhD from the University of Notre Dame. Her research focuses on unsteady aerodynamics, aeroacoustics, and fluid-structure interactions, with applications in aerospace systems, propulsion technologies, and biological acoustics. Notable projects include NASA-funded work on quieter vertical lift vehicles and computational modeling of gerbil hearing mechanics. Professor Grace’s research interests span aerodynamics, fluid dynamics, and acoustics. She develops analytical and computational models to predict sound and vibration generated by unsteady flows interacting with solid structures. Recent studies include noise reduction in aircraft wings, turbine blade fatigue analysis, and acoustic scattering in gerbil ears. Her work bridges theoretical models with practical engineering solutions, emphasizing cost-effective predictive tools for next-generation systems. Her publications highlight advancements in shock-droplet interactions, cavitation modeling, and machine learning applications in aeroacoustics. Collaborative projects include multi-institutional efforts to address urban air vehicle noise challenges. While no explicit awards are listed, her contributions to computational acoustics and fluid dynamics are recognized through extensive peer-reviewed output. Advising and grants: Professor Grace leads the UFMAL lab and has secured funding from agencies like NASA. Her research integrates fluid mechanics, acoustics, and computational methods to address industrial and environmental noise issues. She collaborates across disciplines, including mechanical engineering, aerospace, and biomedical acoustics.
Arpit Gupta is an Associate Professor of Finance at the Leonard N. Stern School of Business, New York University, where he has been a faculty member since 2016. His research lies at the intersection of real estate, household finance, and urban economics, with a strong empirical focus on using large datasets to analyze financial behavior and market dynamics. Ph.D. in Finance and Economics, Columbia Business School B.S. in Mathematics and Economics, University of Chicago His research interests include household finance, real estate markets, mortgage default, bankruptcies, urban economics, and the financial impacts of health shocks and pandemics. He explores how financial constraints affect minority borrowers, how remote work reshapes urban real estate, and how public infrastructure influences property values. His recent publications span top journals such as the Journal of Finance , American Economic Review , Journal of Financial Economics , and PNAS . Themes across his work include the economic consequences of the COVID-19 pandemic, the valuation of private equity, and the spillover effects of foreclosures. His research often combines innovative data sources with rigorous econometric methods. Notable scientific awards include the Brattle Prize First Place (2019) and the 2016 Top Finance Graduate Award from Copenhagen Business School. He has advised on policy-relevant topics such as office-to-residential conversions, housing equity, and bail reform, and has received media attention for his insights on urban development and real estate trends. Professor Gupta collaborates with a wide network of researchers and maintains active engagement through a Substack newsletter and public data repositories. He advises students and contributes to academic discourse through conference presentations and policy discussions. He is affiliated with research labs and teams focused on urban economics and financial innovation, often collaborating with scholars at Columbia, NYU, and other institutions. His ongoing projects continue to explore the evolving dynamics of housing, finance, and urban resilience in the post-pandemic era.
Professor Mostafa Rasoolimanesh is a Vice-Chancellor Professorial Research Fellow and Professor of Sustainable Tourism at Edith Cowan University's School of Business and Law. With 25 years of academic and 10 years of non-academic experience in local government, he specializes in sustainable tourism, heritage tourism, and community development. His research bridges theory and practice, focusing on methodologies like PLS-SEM and fsQCA. He has authored over 150 publications in top-tier journals and serves on editorial boards for leading tourism journals. His research interests span sustainable destination governance, community participation, and tourism policy. Awards include being ranked top 2% globally in tourism sciences (2022-2023) and Taylor’s University’s Most Cited Academic Award (2023). He leads projects like the Sustainable Tourism Index for urban destinations and advises on UNESCO World Heritage Sites. His work emphasizes interdisciplinary approaches to urban sustainability and heritage management.
Prof. Dr.-Ing. Stephan Staudacher is the Director of the Institute of Aircraft Propulsion at the University of Stuttgart. His work focuses on aircraft propulsion systems, gas turbine performance, and turbomachinery design. He holds a professorship in the Faculty of Mechanical Engineering and Aerospace, leading research in advanced engine technologies, erosion effects, and fault detection algorithms. Research interests include engine reliability, computational fluid dynamics (CFD), and experimental validation of propulsion systems. His publications emphasize topics like neural network applications for fault detection, ice crystal icing simulations, and particle transport in additive manufacturing processes. Recent studies highlight the optimization of composite-cycle engines and assessment of mission severity caused by erosion. Key contributions include advancements in engine condition monitoring, transient performance analysis, and the development of Stuttgart University’s Altitude Test Facility (ATF). His work bridges theoretical models with industrial applications, addressing challenges in both civil and military aviation propulsion systems.
Dr. David Sewell is a Senior Lecturer and Deputy Head of School (Teaching & Learning) at the School of Psychology, The University of Queensland. His research focuses on attention, learning, memory, and decision-making, with a strong emphasis on formal mathematical models of human cognition. He is affiliated with the Centre for Perception and Cognitive Neuroscience within the Faculty of Health, Medicine and Behavioural Sciences. Education: Bachelor (Honours) of Arts and Doctor of Philosophy, both from the University of Western Australia. David's research explores the intersection of cognitive psychology and computational modeling. Key areas include perceptual decision-making, attentional mechanisms, and the application of diffusion models to understand cognitive processes. His work also extends to sustainability and collective self-regulation through cognitive frameworks. The 15 most recent articles highlight his contributions to modeling decision thresholds in memory prioritization, analyzing gaze cueing effects, and investigating neural correlates of confidence in multisensory decisions. Collaborative projects frequently involve interdisciplinary approaches, combining neuroscience, psychology, and computational methods. He has supervised multiple PhD candidates, serving as Principal or Associate Advisor, with research topics ranging from visual categorization to metacognition in children. Current and past funding includes ARC Discovery Projects on collective self-regulation and category learning constraints.
Anming Zhang serves as a Professor in the Operations and Logistics Division of UBC's Faculty of Commerce and Business Administration, holding the prestigious Vancouver International Airport Authority Professorship in Air Transportation. His academic foundation includes a B.Sc. from Shanghai Jiao-Tong University and M.Sc./Ph.D. degrees from the University of British Columbia. Education : B.Sc. (Shanghai Jiao-Tong University), M.Sc. & Ph.D. (University of British Columbia) His research focuses on Transport Economics and Policy , Air Cargo Logistics , and Industrial Organization , with particular expertise in air-rail competition dynamics, pandemic impacts on aviation, and infrastructure economics. Zhang employs advanced methodologies including spatial econometrics and complex network analysis to examine transportation systems. Analysis of his 2024-2025 publications reveals three dominant trends: (1) Resilience of global air networks against pandemics and geopolitical conflicts, (2) Economic implications of urban air mobility integration, and (3) Non-aeronautical revenue optimization in airport management. His work increasingly bridges transportation economics with environmental sustainability concerns. Zhang actively supervises graduate students in Transportation & Logistics MSc and PhD programs within Business Administration, teaching undergraduate courses including Logistics and Operations Management and Air Transportation. He maintains strong institutional ties through the Center for Transportation Studies and collaborates extensively with international researchers on aviation policy challenges.
