Dr. Laurie Garrow is a prominent aviation expert and researcher at Georgia Institute of Technology, directing the ATL@GT Center. Her work focuses on emerging air transportation systems, including electric vertical takeoff and landing (eVTOL) aircraft and urban air mobility (UAM). She leads research on demand modeling for air taxi services, competitive market dynamics, and the integration of new technologies like New Distribution Capability (NDC) in airlines. Her studies analyze commuter behavior, city-specific feasibility of air taxi operations, and policy implications for rural transit funding. Dr. Garrow’s research combines geospatial analysis, discrete choice modeling, and large-scale data to evaluate transportation systems. Notable projects include mapping potential commuter air taxi routes in 40 US cities, comparing UAM with autonomous ground vehicles, and assessing barriers to AAM implementation in Germany and the US. Her work also explores post-COVID-19 airline industry transformations and innovative teaching methods in flipped classrooms. Her publications span transportation engineering, policy, and operations research, with a focus on advancing sustainable mobility solutions. Collaborations with industry partners like Uber Elevate and NASA highlight her role in bridging academic research with real-world applications.
Dimitrios D. Piromalis is an Associate Professor at the University of West Attica , specifically within the Department of Industrial Design and Production Engineering . He leads the Research Lab of Electronic Automation, Telematics and Cyber-Physical Systems (EATCPS) , focusing on electronic embedded systems for applications in autonomous vehicles, IoT, and cyber-physical systems. With over 120 publications and extensive industry collaboration spanning 25 years, his work bridges academic research and practical engineering solutions. Education : BSc, MSc, and PhD in Electrical and Electronics Engineering. Research Focus : Electronic embedded systems, autonomous vehicles, IoT, cyber-physical systems, digital twins, 3D/4D printing, energy management, and smart agriculture. Recent publications highlight trends in TinyML for smart cities, predictive maintenance integration, hybrid energy storage for EVs, and digital twin applications across agriculture and automotive sectors. His work also extends to emergency communication systems, biomedical sensors, and blockchain-enabled energy gateways. Industry Collaboration : Field Application Engineer and Technical Consultant for multinational semiconductor companies. Teaching : Platforms for AI and Python programming, autonomous vehicles and drones.
Dr. Carla McCabe is a Senior Lecturer in Sport & Exercise Biomechanics and Research Director for Sport and Exercise Sciences at Ulster University's School of Sport within the Faculty of Life & Health Sciences. With a distinguished academic career spanning over 15 years, she has established herself as an expert in aquatic biomechanics and human movement performance within water environments. Her professional journey includes significant positions at the University of Edinburgh (2011-2014) where she contributed to the formation of the Human Performance Science research group within the Institute of Sport, Physical Education and Health Science. Carla's educational background includes a BSc in Sports and Exercise Science (First Class Honours) from the University of Limerick (2003) and a PhD from the University of Edinburgh (2008) investigating the effect of race pace on three-dimensional kinematics and linear kinetics within sprint and distance specialist swimmers. Her international research portfolio is evidenced through collaborations across numerous Sport Science and Biomechanics journals and she was awarded a visiting scholar grant to the Australian Institute of Sport in 2009. Her research interests focus on human movement performance within aquatic environments, with particular emphasis on swimming biomechanics, three-dimensional kinematic analysis, and the relationship between technique and performance. Recent work has expanded into gender studies in sports and concussion research in rugby league. Carla's publications demonstrate a consistent focus on methodological approaches to measuring swimming performance and understanding the biomechanical determinants of success in aquatic sports. Dr. McCabe has received multiple professional recognitions including the BASES BIG Equality, Diversity and Inclusion Award (2022), Best Poster Presentation (2024), and New Investigator Award: Third Place (2019). She holds Senior Fellowship of the Higher Education Academy (2022) and serves on several professional boards including the Advisory Editorial Board of the Journal of Sport Sciences and as a Board Member of the European Swimming Network. Her current research portfolio includes projects on sex differences in change-of-direction tasks, concussion mechanisms in rugby, and bridging the gap between swimming research and practical application for coaches. Dr. McCabe actively contributes to the sports science community through media engagement, including the BBC CrowdScience Podcast on aquatic locomotion and commentary on concussion management in sports.
Anna Petrig is a Professor of International Law and Public Law at the University of Basel since 2017. Her expertise spans maritime law (especially security, human rights at sea, and autonomous systems), international humanitarian law, law of international organizations, and the interplay between international and national legal systems. Education: LL.M. from Harvard Law School (Fulbright Scholar, 2007); Doctorate in Human Rights at Sea (University of Basel, 2013); Law degree specializing in European law (University of Friborg, 2003). Professional highlights include serving on Friborg’s Constitutional Council (2002-2005), legal work with the ICRC, and postdoc research at the Raoul Wallenberg Institute and Max Planck Institute. Research interests emphasize legal frameworks for emerging maritime technologies, maritime security governance, and human rights protection in maritime contexts. Her work bridges international legal norms with practical implementation challenges. Awards include the Fulbright Scholarship and SNF Postdoc Mobility Scholarship. Active in interdisciplinary projects addressing maritime decarbonization, autonomous systems regulation, and socio-economic dimensions of maritime transport. Advising roles include mentoring graduate students in international law and maritime policy. Collaborates globally on initiatives such as the IAMU Conference and EU-funded maritime innovation projects.
Edwin G. Wiggins is the Mandell and Lester Rosenblatt Professor of Marine Engineering at Webb Institute, holding this position since 2000. Previously, he served as Dean and Professor of Marine Engineering (1987–1992) and held academic roles at the U.S. Merchant Marine Academy and Texas A&M University at Galveston. He earned a B.S. (1965), M.S. (1968), and Ph.D. (1976) in Chemical, Nuclear, and Mechanical Engineering, respectively, from Purdue University. His non-academic career included naval service as a U.S. Navy engineer and docking officer (1965–1978). Wiggins’s research focuses on computational methods in marine engineering, including finite element analysis, CAD integration for engineering education, heat transfer, and propulsion systems. He has authored numerous publications in journals like Computers in Education Journal and Journal of Marine Science and Application . His awards include Fellowships from the Institute of Marine Engineering Science and Technology and the Society of Naval Architects and Marine Engineers, along with the Distinguished Service Award (2001) and Centennial Medallion from SNAME. He also received the Best Teacher Award at the Merchant Marine Academy (1987). Wiggins has led professional service roles such as Chair of the Faculty Honor Committee, Admissions Committee member (1978–2013), and ABET evaluator. He actively participates in organizations like ASEE and SNAME, contributing to accreditation reviews and educational initiatives.
Dr. Atanu Halder is an Assistant Professor in the School of Mechanical and Aerospace Engineering at Oklahoma State University (OSU). His research focuses on advanced aerospace systems, including the design, control, and optimization of unmanned aerial vehicles (UAVs), e-VTOL platforms, and rotorcraft. He holds a Ph.D. in Aerospace Engineering from Texas A&M University (2019), and M.S. and B.S. degrees from the Indian Institute of Technology Kharagpur (2014). Dr. Halder’s research interests span rotorcraft aeromechanics, nonlinear aeroelasticity, structural dynamics, and applications of machine learning. He has been recognized with prestigious awards, including phase-I and II wins in the Boeing GoFly Prize, best paper awards at AIAA and American Helicopter Society conferences, and the Texas A&M Future Faculty Fellowship. Education: Ph.D., Aerospace Engineering, Texas A&M University (2019) M.S., Aerospace Engineering, IIT Kharagpur (2014) B.S., Aerospace Engineering, IIT Kharagpur (2014) His work bridges theoretical models with experimental validation, particularly in cycloidal rotor dynamics and thrust vectoring systems. Publications highlight innovations in UAS scalability, hydrodynamic propeller modeling, and satellite control systems. Dr. Halder teaches MAE 3724: Systems Dynamics and Introduction to Control at OSU. Awards: Boeing GoFly Prize Phase-II Winner (2019) Vertical Flight Foundation (VFF) Scholarship (2018) AIAA Best Paper Award (2019) Best Paper, AHS National Forum (2017)
Ryan Paul is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University (OSU). He holds an ORCID identifier (0000-0002-5883-8784) and specializes in flight dynamics, unmanned aircraft systems, aerodynamics, and pilot workload analysis. Prior to academia, he worked as a Flight Dynamics Engineer at the Naval Air Warfare Center Aircraft Division (2015–2020) and served as a Summer Faculty Fellow at Naval Air Systems Command (2022). Education: Ph.D. (Aerospace Engineering, NC State, 2015), M.S. (Aerospace Engineering, NC State, 2012), B.S. (Aerospace & Mechanical Engineering, OSU, 2010). He is a certified Flight Instructor and holds FAA licenses for commercial piloting and remote operation. Research focuses on flight dynamics simulations, unmanned systems design, aircraft certification, and spatial disorientation assessment. Key projects include work on urban wind impacts on drones, structural optimization for HALE aircraft, and advanced air mobility safety. Over 30 publications span topics like CFD-based aerodynamic modeling, propeller dynamometry, and flight control systems. Awards: Edward H. Heinemann Award (2019), Barry Goldwater Scholarship (2009), NSF Graduate Fellowship (2010). Teaching: Courses include Fundamentals of Aerodynamics, Aerospace Engineering Lab, and UAS Design/Analysis. Grants: Recent funding includes projects on spatial disorientation tools, drone payload capture systems, and autonomy for dynamic missions. Professional memberships include the Atmospheric Flight Mechanics committee and the Vertical Flight Society. His lab collaborates on projects like the Bellwether flying wing and Formula SAE aerodynamics optimization.
Bjørn Andreas Kristiansen is an Assistant Professor in the Department of Engineering Cybernetics at NTNU. He is a core member of the NTNU Small Satellite Lab , leading the ADCS team for the HYPSO satellite mission . His research focuses on optimizing satellite operations, spacecraft attitude control, and agile maneuver design for Earth observation missions. He holds a PhD in Engineering Cybernetics (2023) from NTNU, with a thesis on energy and time optimal spacecraft control. Education: PhD in Engineering Cybernetics, NTNU (2023) MSc in Cybernetics and Robotics, NTNU (2019) Research interests include energy-efficient spacecraft control, magnetorquer-based attitude control, and deep reinforcement learning for autonomous systems. His work is published in top journals like IEEE Transactions on Control Systems Technology and IEEE Transactions on Geoscience and Remote Sensing . Key contributions: Developed energy-optimal control strategies for solar-powered satellites Pioneered agile maneuver algorithms for push-broom imaging satellites Validated HYPSO-1 CubeSat's hyperspectral imaging capabilities in orbit Labs/Teams: Active contributor to the HYPSO mission and the Center for Autonomous Marine Operations and Systems (NTNU AMOS) .
Fikret Çalışkan serves as a Professor in the Department of Control and Automation Engineering at Istanbul Technical University. With an h-index of 15 and 55 research outputs documented through Scopus, his academic career spans multiple decades of contributions to control systems engineering. His research profile shows consistent publication activity from 1995 through projected 2025 works, with significant output in recent years. Professor Çalışkan's research focuses on advanced control systems with particular expertise in Kalman filtering techniques , fault detection and isolation , and autonomous aircraft systems . His fingerprint analysis reveals strong specialization in actuator systems (80%), Kalman filters (100%), and multiple fault detection methodologies (47-53%). His work bridges theoretical control engineering with practical applications in UAV technology, indoor positioning systems, and aircraft propulsion. Analysis of his recent publications shows a clear trajectory toward increasingly complex autonomous systems, with growing integration of machine learning techniques (particularly reinforcement learning) with traditional control methodologies. His work demonstrates strong interdisciplinary connections between aerospace engineering, robotics, and signal processing, with applications spanning from indoor navigation to hybrid-electric aircraft propulsion. Professor Çalışkan has supervised 15 research projects throughout his career, securing funding for significant research initiatives including AI-based visual inspection systems for aircraft surfaces (2020-2022) and nonlinear multirotor modeling, fault detection, and implementation (2018-2021). His research demonstrates strong industry relevance with practical applications in aviation safety, autonomous systems, and energy-efficient control solutions.
Handan Liu is a Teaching Professor in the Multidisciplinary Graduate Engineering Programs at Northeastern University, specializing in High-Performance Computing for AI, scalable machine learning, and large language models. With over 20 years of combined industry and academic experience, she integrates practical insights from her work at NASA, the US Air Force, and as a software engineer into her teaching and research. Her educational background includes: Ph.D. from Shanghai Jiao Tong University Dr. Liu's research centers on advancing AI through high-performance computing, with a focus on efficient scaling of large language models via quantization and parameter-efficient fine-tuning (PEFT). She also explores reasoning capabilities, cognitive aspects, and multimodal learning to enhance AI systems. Her work bridges theoretical algorithms and real-world applications in distributed environments. Her publication history shows an evolution from computational fluid dynamics and aerospace engineering (2008-2011) to biomedical applications (2008-2009), and now to AI and HPC (2014-2025). Recent work emphasizes educational integration of parallel computing in AI, reflecting her commitment to preparing students for industry demands. No major scientific awards are listed in the provided information. Dr. Liu mentors graduate students through course projects and research, developing unique curricula that merge HPC with AI. Her leadership in building Northeastern's HPC clusters since 2015 provides critical infrastructure for student research. Past collaborations with government agencies indicate a strong grant history, though current funding details are not specified. She has been instrumental in establishing Northeastern University's HPC clusters, creating a robust computational environment that supports interdisciplinary research in engineering and data science.
Mihiran Galagedarage Don is a Postdoctoral Researcher at Memorial University of Newfoundland, affiliated with the Department of Energy and Mechanical Engineering and the Materials to Products department. He holds a Ph.D. in Mechanical Engineering (2023) and a Master of Engineering (2019) from Memorial University, alongside multiple degrees from the University of Moratuwa, including a B.Sc. (Hons) in Materials Engineering (2009). His research focuses on digital twin applications in oil and mining industries, fatigue analysis of drilling systems, finite element modeling, and predictive maintenance. Key contributions include frameworks for ESP systems, vibration prediction in drill strings, and hybrid models for process fault prognosis. Publications emphasize digital twin development, fatigue life prognosis, and Industry 4.0 analytics. No scientific awards are explicitly mentioned. Advising students or grants are not listed. No specific labs or teams are highlighted in the provided texts.
Gregory Quetin is a Project Scientist at the University of California, Santa Barbara (UCSB) in the Department of Geography, working with Dr. Anna Trugman. His research focuses on ecosystem responses to climate change, particularly the interplay between carbon, water, and energy flows. He holds a B.S. in Aeronautics and Astronautical Engineering from the University of Washington and a Ph.D. in Atmospheric Sciences from the same institution. Prior to his academic roles, he worked as an engineer at NASA’s Jet Propulsion Laboratory, contributing to imaging spectrometer development. His research integrates remote sensing, numerical models, and field data to study plant hydraulics, forest productivity, and mortality under rising CO₂ and warming. Key areas include land-atmosphere interactions, vegetation sensitivity to climate variability, and carbon cycle dynamics. He has conducted postdoctoral research at UCSB and Stanford University’s Remote Sensing Ecohydrology Lab under Dr. Alexandra Konings. Recent work emphasizes hydraulic stress in forests, carbon-climate feedbacks, and evapotranspiration dynamics. His publications highlight advancements in model validation (e.g., CARDAMOM-FluxVal) and novel instrumentation like radar systems for tree water monitoring. Though no formal awards are listed, his contributions align with cutting-edge climate science and ecohydrology. Quetin’s advisory and collaborative efforts include interdisciplinary teams at UCSB and Stanford, focusing on bridging gaps between remote sensing and Earth system models. He is affiliated with the Ecoclimate Lab and Remote Sensing Ecohydrology Lab, advancing methodologies for global carbon and water flux estimation.
Jeff Dozier was a distinguished academic and researcher in environmental science, serving as a Research Professor and Distinguished Professor Emeritus at the University of California, Santa Barbara (UCSB). He was the founding Dean of the Bren School of Environmental Science & Management (1994–2000) and held affiliations with the Department of Geography until his retirement in 2018. His work focused on snow hydrology, remote sensing, and mountain ecosystems, with global impacts on water resource management and climate research. Education: B.A. in Geography (Cal State Hayward, 1968), M.Sc. and Ph.D. in Geography (University of Michigan, 1969–1973). Research Interests: Snow properties, remote sensing algorithms, satellite data applications, and mountain hydrology. His expeditions to the Hindu Kush range in Afghanistan inspired his academic focus on avalanche dynamics and snow science. He pioneered methods for detecting wildfires from space and advised on the film Frozen for accurate snow representation. Awards: NASA William T. Pecora Award (2005), NASA Public Service Medal, Fellow of the American Geophysical Union (1991), and Fellow of the American Association for the Advancement of Science (1999). Advising & Teaching: Advised 20 Ph.D. and 34 M.Sc. students, taught the popular Alpine Snowpack course, and collaborated on global projects like the Airborne Snow Observatory and NASA’s Earth Observation System. Labs/Teams: Collaborated with NASA’s Jet Propulsion Laboratory, Bren School researchers, and international teams on snow science and satellite missions. His work extended to the International Space Station and interdisciplinary studies linking environmental science with computer technology.
Suresh Perinpanayagam is Professor of Engineering at the University of York, where he leads transformative research in digital/data-centric engineering, digital twins, and AI. His work aims to revolutionize system design by leveraging data and high-performance computing to provide a more realistic and synergistic approach to complex future systems. He is affiliated with the School of Physics, Engineering and Technology at the University of York, where he has established the Data-Centric Engineering and Digital Twinning Synergy (DACEDITS) research group. Professor Perinpanayagam holds a Bachelor's and Master's degree in Aeronautical Engineering from Imperial College, London, and a PhD in Mechanical Engineering from Imperial College, London (Rolls-Royce Vibration University Technology Centre). His research focuses on harnessing digital technologies to revolutionize engineering design, control, development, and through-life supportability within aerospace, transport, energy and built infrastructure domains. Digital twins form a cornerstone of his work, creating virtual replicas of physical systems that are continually updated with real-time data for remote monitoring and predictive analytics. His team combines advanced modeling and simulation with data analytics and machine learning algorithms to gain actionable intelligence from real-time data, facilitating predictive maintenance and fault detection. Key application areas include fusion energy systems, electric/hydrogen aircraft, and autonomous transport vehicles, where the goal is to minimize extensive testing and validation while addressing global challenges in energy, electrification, circular economy practices, and net-zero emissions goals. Analysis of Professor Perinpanayagam's recent publications reveals a strong focus on applying digital twin technology and machine learning to critical engineering systems. His research spans aerospace applications (particularly for more electric aircraft), railway systems, and power electronics reliability. A notable trend is the increasing emphasis on explainable AI for safety-critical systems in aerospace, addressing certification challenges while maintaining high reliability standards. His work consistently bridges theoretical advancements with practical industrial applications, particularly in collaboration with major aerospace companies. Professor Perinpanayagam has secured research grants exceeding £5 million throughout his career. He has cultivated extensive industrial collaborations with leading companies including Boeing, Rolls-Royce, BAE Systems, Thales, Airbus Group, Safran, Meggitt, UKAEA, Heathrow Airport, Assystem, Awaretag and Chitendai Ltd. He has served as Principal Investigator for significant projects such as the Future Landing Gear Phase 2 project (£2 million) and the LAND One project with Airbus, as well as a £1 million project from Safran/ATI for the OLLGA project. As an educator and mentor, Professor Perinpanayagam has been the principal supervisor for seven PhD candidates and one Master's by Research student, all of whom have successfully completed their degrees. He has also supervised Individual Research Projects for thirty-five Master's students. His teaching encompasses data-centric engineering for intelligent systems, covering machine learning, digital twin technology, intelligent transport systems, IoT/sensory systems, predictive analytics, asset management, resilience engineering, project management, and system availability and maintainability. Professor Perinpanayagam leads the Data-Centric Engineering and Digital Twinning Synergy (DACEDITS) research group at the University of York, which pioneers the integration of digital and data technologies to revolutionize engineering design and support. His team brings together cross-disciplinary expertise in advanced modeling and simulation, data analytics, and artificial intelligence to develop next-generation engineering systems that are highly efficient, reliable, and economically viable. The group maintains strong industry partnerships that facilitate the translation of research into practical applications.
Dr. Fransiska Bossuyt is a Lecturer in the Department of Health Sciences and Technology at ETH Zürich. Her research focuses on biomechanical and musculoskeletal health challenges faced by individuals with spinal cord injuries and wheelchair users. Key research areas include shoulder pain mechanisms, wheelchair propulsion biomechanics, tendon adaptations in athletes, and rehabilitation strategies to mitigate injury risks. Her work integrates clinical studies with engineering approaches, such as developing wireless strain sensors for musculoskeletal monitoring and analyzing subacromial space dynamics during fatiguing activities. Notable contributions include longitudinal studies on elite wheelchair rugby athletes and systematic reviews evaluating portable dynamometer reliability for shoulder strength assessment. Dr. Bossuyt’s findings address clinical gaps in mobility-related injury prevention, emphasizing the interplay between physical activity adherence and musculoskeletal health outcomes in spinal cord injury populations.
