Vikrant Vaze is the Stata Family Career Development Associate Professor and Executive Director of the Master of Engineering Management Program at Dartmouth's Thayer School of Engineering. He leads research in transportation systems, aviation optimization, and healthcare analytics, developing data-driven solutions for complex logistics challenges. His work integrates game theory, statistical modeling, and large-scale optimization. Research spans sustainable urban mobility, airline disruption recovery, multimodal pricing alliances, and healthcare operations. Articles consistently focus on optimization algorithms for real-world transportation and healthcare systems, with recent emphasis on electric aerial mobility and pandemic-responsive logistics. Major Awards: INFORMS Aviation Applications Best Paper (2024, 2023) AGIFORS Best Innovation Award (2024) NSF CAREER Award (2018) President of India Gold Medal As founding co-director of the Operations Research Group, he collaborates with industry partners like Multivariate Systems to translate academic research into deployable solutions.
Cagdas Onal is an Associate Professor of Robotics Engineering at Worcester Polytechnic Institute (WPI). He holds a BS and MS from Sabanci University (2003, 2005) and a PhD in Robotics from Carnegie Mellon University (2009). His research focuses on soft robotics, bio-inspired systems, and control theory , emphasizing the development of flexible robotic components for healthcare, industry, and sustainable applications. He leads the Soft Robotics Lab and the Future of Robots in the Workplace (FORW-RD) initiative, advancing human-centric robotics solutions. Research interests include designing bio-inspired soft robots (e.g., origami-inspired snake robots), developing modular actuation systems with embedded sensors, and exploring applications in medical devices and assistive technology. His work aligns with UN Sustainable Development Goals, particularly in healthcare access (SDG 3), quality education (SDG 4), and innovation (SDG 9). Recent projects include origami-based robotic arms for wheelchair users , self-contained underwater robots, and haptic interfaces for teleoperation. His lab collaborates on国家级 grants like the NSF-funded NRT Program and has secured patents for actuator designs (e.g., Hydro Muscle). Labs/Teams: Soft Robotics Lab, FORW-RD, NRT Program. Notable media coverage includes Worcester Telegram & Gazette and Spectrum News for innovations in human-friendly robotics.
Seongjin Choi is an Assistant Professor in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities , where he began his role in January 2024. His research bridges Urban Mobility Data Analytics , Spatiotemporal Modeling , and Deep Learning to advance transportation systems. Affiliated with the Center for Transportation Studies , Minnesota Robotics Institute , and Data Science Initiative , he leads the Choi Research Group . Education: Ph.D., Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2021 M.S., Civil and Environmental Engineering, KAIST, 2017 B.S., Civil and Environmental Engineering, KAIST, 2015 His research focuses on Urban Mobility Data Analytics and Deep Learning to optimize transportation systems. Key areas include: Spatiotemporal Data Modeling for forecasting and imputation Generative AI applications in transportation data Reinforcement Learning for Connected Automated Vehicles (CAV) Cooperative Intelligent Transport Systems (C-ITS) Recent publications in Transportation Science and Transportation Research Part C highlight his work on probabilistic traffic forecasting , deep generative models , and vision-language-action frameworks for autonomous systems. His methodologies often combine AI-driven analytics with real-time mobility optimization . Dr. Choi serves as: Associate Editor of The Journal of the Korean Society of Transportation (JKST) , 2023–Present Guest Editor for Journal of Advanced Transportation special issue on "Advanced Data Intelligence Theory and Practice in Transport 2023", 2023–2024 He actively seeks PhD students/postdocs for 2025 cohorts focused on machine learning for transportation challenges. Current projects include AI-enhanced traffic forecasting, CAV control, and urban air mobility (UAM) integration studies.
Oliver Ullrich is a Professor and Chair of Anatomy / Gravitational Biology and Cell Biomechanics at the University of Zurich. He also holds professorships in Space Biotechnology at Otto-von-Guericke-University Magdeburg, Space Medicine at EAH Jena, and an Adjunct Professor position at Beijing Institute of Technology. As an Academician of the International Academy of Astronautics , he leads the Swiss Parabolic Flight Program and directs the UZH Innovation Cluster “Space and Aviation” (UZH Space Hub). His research spans gravitational biology , space medicine , and cell biomechanics , focusing on cellular responses to altered gravity environments. His work explores Molecular changes in immune cells under microgravity/hypergravity Epigenetic adaptations to gravitational forces Medical challenges in space exploration Sustainable planetary resource utilization Innovations in spaceflight experiment platforms Recent publications highlight trends in space immunology , organoid analysis under gravity stress , and non-governmental parabolic flight infrastructure . Awards include the Albrecht-Ludwig-Berblinger Award of Aerospace Medicine . He serves on advisory boards for aerospace agencies and companies, and as a member of the executive board of the German Society for Aerospace Medicine : Albrecht-Ludwig-Berblinger Award of Aerospace Medicine As an active investigator in European, German, and U.S. space life sciences programs , he has led 19+ parabolic flight missions and contributed to ISS experiments.
Marek Ilnicki is a Lecturer at the University of Gdańsk , affiliated with the Faculty of Social Sciences and specifically the Department of Strategic and Security Studies . His academic focus lies at the intersection of political science, security studies, and maritime law. Fields of Interest : Political Science, Security Studies, Maritime Law, Counterterrorism, International Relations, and Crisis Management. Research Trends in his publications emphasize legal frameworks for state security, maritime governance, terrorism prevention, and international cooperation. His work often addresses Poland's strategic challenges in maritime environments and border security. Contact Information : Email: marca.ilnicki@ug.edu.pl Phone: +48 58 523 41 81
Dr. Fendy Santoso is a leading researcher and Cyber-Physical Lead at the Artificial Intelligence and Cyber Futures Institute, Charles Sturt University, Australia. He also holds a Visiting Fellow position at the School of Engineering and Technology, UNSW Canberra, and has held visiting roles at the University of Cambridge and Cranfield University. His work bridges cybersecurity, AI, and autonomous systems, with significant impact in UAV security and cyber-physical resilience. Education: PhD in Electrical Engineering, University of New South Wales (Awarded: 21 Jun 2012) Master of Electrical and Computer Systems Engineering, Monash University (Awarded: 07 Jun 2007) Dr. Santoso’s research focuses on adversarial machine learning, UAV security, intrusion detection in robotic systems, and cyber-secure digital twins. His work integrates AI, control theory, and cybersecurity to enhance the resilience of autonomous systems. He has pioneered research in securing ROS-based platforms and defending against GPS spoofing and DoS attacks in unmanned vehicles. His recent publications (2020–2025) highlight a strong trend in applying deep learning, fuzzy logic, and physics-informed models to detect and mitigate cyberattacks in UAVs and UGVs. Key themes include intrusion detection systems, secure digital twins for agriculture, and intelligent transportation systems enabled by drones. His work is frequently published in IEEE Transactions and top-tier conferences. Scientific Awards and Grants: Vice-Chancellor’s Distinguished Early Career Travel Fellowship, University of Wollongong (2019) ARC Linkage Project Grant (LP230100083) on adversarial machine learning for UAVs (2024) CSIRO-funded AgriTwins project on cyber-secure digital twins for agriculture (2024) Dr. Santoso has secured over AUD 3 million in competitive research funding and actively supervises postgraduate students. He serves as a reviewer for the Australian Research Council and technical program committees of major AI and engineering conferences. His collaborative work spans defence organisations like DSTG and the U.S. Army Ground Vehicle Systems Centre, as well as international academic institutions. He is a Senior Member of IEEE and leads research in labs focused on cyber-physical systems, autonomous robotics, and AI-driven security frameworks. His team develops real-time detection tools for cyberattacks on military and agricultural robots, contributing to critical infrastructure resilience.
Professor Matt Garratt is a faculty member at the University of New South Wales (UNSW Canberra), School of Engineering and IT, serving as AI theme lead for the Defence Trailblazer Universities initiative with over $200 million in funding. His primary research focuses on sensing, guidance, and control for autonomous systems within robotics and unmanned aerial vehicles. Garratt's research spans robotics, swarm intelligence, and autonomous systems with emphasis on bio-inspired navigation techniques and adaptive flight control. His work addresses critical challenges including terrain following using vision systems, landing UAVs on moving platforms, and developing self-organizing swarms. He integrates artificial intelligence, computer vision, and machine learning to advance unmanned systems capabilities in complex environments. Analysis of his recent publications reveals strong trends in bio-inspired UAV navigation (particularly honeybee behavior modeling) and swarm robotics applications. His work increasingly incorporates deep learning for perception tasks while addressing real-world challenges like gas plume detection and adversarial robustness in 3D vision systems. The research demonstrates consistent progression toward practical implementation of autonomous systems in dynamic environments. Professor Garratt has secured over $7.7 million in external research funding as Chief Investigator on 33 grants. He actively mentors graduate students with scholarships available for Masters and PhD research in robotics and AI, focusing on: UAV path planning and adaptive control systems Swarm robotics collective motion optimization Bio-inspired autonomous navigation techniques Computer vision for robotic perception He co-founded the UNSW Canberra AIR (AI and Robotics) Group (AIR Lab), which drives research in trusted autonomy, swarm intelligence, and AI integration for defense applications. The lab develops practical solutions for autonomous systems operating in complex, real-world environments while maintaining ethical AI frameworks.
Dr. Tim Lynar serves as a Senior Lecturer at the University of New South Wales Canberra within the School of Systems & Computing. With a strong background in both academic research and industry practice, he has established himself as a leading figure in cyber security and computer science. His work bridges theoretical research with practical applications, focusing on innovative solutions for complex computing challenges across multiple domains including IoT security, machine learning applications in cyber defense, and high-performance distributed systems. Dr. Lynar's research interests span a wide spectrum of cyber security applications, with particular emphasis on the application of machine learning techniques to security challenges and the innovative use of epidemiological approaches to understand and combat cyber threats. His work in modeling & simulation, statistical & data analysis, network & systems administration, and high-performance distributed computing demonstrates his commitment to developing comprehensive security frameworks that address evolving threats in digital environments. The interdisciplinary nature of his research connects computer science with biological modeling approaches, creating novel methodologies for understanding security vulnerabilities. Analysis of Dr. Lynar's recent publications reveals a strong trend toward applying advanced machine learning techniques to cyber security challenges, particularly in IoT environments. His work increasingly integrates epidemiological models with security frameworks, creating a unique approach to threat detection and mitigation. The research spans practical applications in network security, drone systems, and AI security, demonstrating both theoretical depth and real-world applicability. A notable pattern is the consistent application of cutting-edge deep learning architectures like Vision Transformers and Variational Autoencoders to solve specific security problems across diverse domains. IBM Master Inventor (2016) Multiple IBM Innovation Awards (2011-2018) Client Value Outstanding Technical Achievement Awards (2015-2016) High Value Patent Awards (2014-2016) Best Article Award – International Journal of Information Systems & Social Change (2010) Multiple research scholarships from 2007-2010 Dr. Lynar's extensive patent portfolio demonstrates significant industry impact, with numerous issued US patents spanning diverse applications from energy efficient supercomputing to vehicle collision avoidance and drone-based microbial analysis. His research has attracted substantial industry collaboration, particularly with IBM, where he received multiple prestigious awards including the IBM Master Inventor designation. The practical applications of his work are evident in the wide range of patented technologies addressing real-world security and optimization challenges across multiple industries. Dr. Lynar's work spans multiple research domains simultaneously, with active projects in cyber security, drone systems, AI safety, and maritime traffic analysis. His research methodology consistently combines theoretical modeling with practical implementation, often leveraging simulation environments to test and validate approaches before real-world deployment. The interdisciplinary nature of his work creates connections between traditionally separate fields, enabling innovative solutions to complex problems.
Alexandre Barreto serves as an Associate Professor in the Department of Cyber Security Engineering at George Mason University, specializing in cybersecurity applications for transportation systems and critical infrastructure. His work integrates air traffic management expertise with advanced security protocols to address defense and infrastructure vulnerabilities. Education PhD, Instituto Tecnológico de Aeronáutica, Brazil Barreto's research centers on transportation security (particularly aviation), cyber impact assessment, and blockchain applications for critical infrastructure. He develops secure protocols for air traffic systems like ADS-B and creates decision support frameworks for defense scenarios. His methodology combines machine learning, network security, and risk modeling to enhance resilience in smart grids and urban air mobility systems. Analysis of his 15 most recent publications reveals dominant themes in aviation cybersecurity (ADS-Bsec frameworks, Cyber-ARGUS), energy infrastructure protection (SIAD-AERO), and blockchain integration for air traffic management. Over 60% of his work focuses on securing air traffic surveillance systems, while emerging research explores carbon emissions prediction and deep space navigation applications. Advising and Grants No specific student advisement records or grant funding details were documented in the source material, though his classroom activities span graduate and undergraduate cybersecurity education.
Raphael Zufferey is an Assistant Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology, where he leads the MIT AURA (Aerial-Aquatic bio-inspired robots) laboratory since January 2025. His research focuses on developing bio-inspired robotic systems capable of seamless transitions between aerial and aquatic environments for environmental monitoring applications. Education: 2013 - EPFL BSc 2015 - EPFL MSc 2020 - Imperial College London PhD Zufferey's research interests center around autonomous robotics with emphasis on bio-inspired hybrid designs that enable seamless transitions between aerial and aquatic environments. His work bridges mechanical engineering, robotics, and ocean sciences to develop novel propulsion methods and control systems for environmental monitoring applications. He specializes in creating miniature robots that can operate in challenging aquatic environments while maintaining energy efficiency through innovative locomotion strategies. His publications demonstrate a consistent focus on solving the fundamental challenges of aerial-aquatic transition in robotics, with particular emphasis on bio-inspired designs that mimic natural organisms. The research spans multiple disciplines including fluid dynamics, control theory, and materials science to create functional hybrid robotic systems. Scientific Awards: 2022 Marie Skłodowska-Curie Actions (MSCA) Individual Fellowship 2020 Best PhD in Robotics UK 2019 Best Paper Award, AMAM conference, Lausanne Switzerland 2018 Best Conference Paper Nominee, ICRA conference, Brisbane Zufferey actively mentors students and postdocs in his AURA lab, with current members including graduate students, postdocs, and UROPs working on various aspects of aerial-aquatic robotics. He serves in editorial roles for prominent robotics publications and organizes workshops at major conferences, demonstrating his growing influence in the robotics community. His lab has secured funding for innovative projects including the REaCT workshop at ICRA 2025 focused on Robotics for Environmental and Climate Assessment. The MIT AURA lab, established in January 2025, has quickly grown to include multiple researchers working on cutting-edge projects such as flapping-wing perching mechanisms, aquatic jump-gliders using water-reactive fuels, and sailing-flying hybrid robots for extended mission durations. The lab collaborates with institutions like Woods Hole Oceanographic Institution and maintains strong connections with researchers at EPFL.
Professor Siobhan Banks is a Research Professor and Director of the Behaviour-Brain-Body Research Centre at the University of South Australia (UniSA), affiliated with UniSA Justice & Society. She holds a Ph.D. from Flinders University (2004) and conducted postdoctoral research at the University of Pennsylvania. Her work focuses on the interplay between sleep, fatigue, and human performance, particularly in shift workers and high-stakes operational environments. Research interests include circadian rhythms, fatigue countermeasures, and the design of habitable spaces to enhance cognitive performance. Key areas of research include the impact of sleep deprivation on team performance, the metabolic consequences of shift work, and the application of human-centered design in maritime and aerospace environments. She collaborates with organizations like the Australian Defence Science and Technology Group and the Alliance for Research in Exercise, Nutrition and Activity (ARENA). Publications emphasize fatigue risk management, circadian-aligned interventions, and the physiological effects of altered eating schedules during shift work. Her work bridges basic science and applied solutions, aiming to improve workplace safety and productivity through evidence-based strategies.
Dr. Sara Beck is an Assistant Professor in the Department of Civil Engineering at the University of British Columbia. She leads the Beck Lab, focusing on water disinfection, UV LED technology, and environmental microbiology to address global water challenges. Her work bridges fundamental science and engineering applications, emphasizing sustainable solutions for public health and water quality. Education: Ph.D. in Environmental Engineering (2015, University of Colorado Boulder), M.S. in Environmental Engineering (Georgia Tech), B.S./B.A. in Aerospace Engineering/Studio Art (CU Boulder). Prior to academia, she worked as a NASA flight controller supporting Space Shuttle and ISS programs. Research Interests: UV disinfection mechanisms, water reuse, applied environmental microbiology, decentralized systems, and microplastic degradation. Key projects include UV LED applications for point-of-use disinfection, biofilm dynamics in filtration systems, and fecal contamination impacts on child health in low-resource settings. Awards: AEESP Outstanding Dissertation (2016), NSERC Discovery Accelerator (2021), Fulbright Scholar (2015), NASA Astronaut Finalist (2017). Lab members include PhD candidates Patrick Mirindi and Thusitha Rathnayake, and collaborators across global institutions. Grants: NSERC funding for UV LED research, WHO collaborations on surface disinfection protocols. Active research spans microbial communities in membranes, viral load quantification, and optimizing BWRO energy efficiency. Labs/Teams: Beck Lab @ UBC collaborates with interdisciplinary experts in engineering, microbiology, and policy to advance water treatment solutions. Current projects address microplastic prevalence in BC freshwater and surface disinfection standardization for healthcare settings.
Elaine Petro is Assistant Professor in Cornell University's Sibley School of Mechanical and Aerospace Engineering, where she directs the ASTRAlab. She holds a Ph.D. from the University of Maryland and develops sustainable space exploration technologies with focus on plasma propulsion systems and novel propellants. Her research program: Designs water-based propulsion systems for deep space missions Models complex plasma behaviors in electric thrusters Develops miniaturized propulsion for small satellites Investigates next-generation ionic liquid propellants Recent publications demonstrate applications of computer vision for space weather prediction and economic analyses of space development. She received the AFOSR Young Investigator Award to study ionic liquid stability in propulsion systems. Prior to academia, Professor Petro worked on NASA missions including MAVEN Mars Orbiter, James Webb Space Telescope, and Hubble Space Telescope at Goddard Space Flight Center. She participated in JPL's Planetary Science Summer School mission design for Enceladus exploration.
Dr. Chao Hu is the Collins Aerospace Professor in Engineering Innovation and Associate Professor at the University of Connecticut's Department of Mechanical Engineering within the College of Engineering. His research focuses on engineering design under uncertainty, battery health diagnostics, and structural health monitoring. He holds a B.E. from Tsinghua University (2007) and a Ph.D. from the University of Maryland (2011), with prior roles at Medtronic and Iowa State University. Research interests emphasize physics-informed machine learning for prognostics, battery degradation modeling, and reliability-based design optimization. Key publications include work on digital twin models for lithium-ion batteries, federated learning for fleet-wide fault diagnosis, and probabilistic machine learning pipelines for real-time state estimation. He has received awards like the ASME Design Automation Young Investigator Award and highly cited paper recognitions. Dr. Hu serves as Senior Editor for Engineering Optimization and Review Editor for Structural and Multidisciplinary Optimization . His work spans academic leadership in journals and industrial collaborations. Current projects include battery aging datasets (UConn-ILCC and UConn-ISU-ILCC), design for remanufacturing frameworks, and high-rate structural health monitoring techniques.
Lacra Pavel is a Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, Faculty of Applied Science and Engineering. She joined the department in August 2002 after industry experience at Nortel Networks and Solinet Systems, and remains active in the System Control Group and Photonics Group. Her educational background includes: Diploma of Engineering (with distinction) in Automatic Control, Technical University Gh. Asachi of Iasi, Romania (1989) PhD in Electrical and Computer Engineering, Queen's University at Kingston (1996) Research focuses on integrating game theory, control theory, and optimization within networked systems. She pioneered applications in noncooperative/evolutionary game theory for network control, nonlinear/robust control frameworks, and energy-efficient optical/transportation networks. Current work develops mathematical foundations for learning in games via control-theoretic approaches to enable autonomous multi-agent network optimization. Recent publications (2019-2013) reveal dominant trends: distributed Nash equilibrium seeking using passivity-based and operator-splitting methods, stability analysis for optical network power control with time-delays, and extensions to transportation systems like railway timetabling. Key subfields include graphical games, ADMM algorithms, and Lyapunov-based boundary control for distributed parameter systems. Scientific recognition includes: Fellow of the IEEE (2025) for contributions to game theory, control, and optimization for network systems Connaught New Staff Award, University of Toronto (2003) New Opportunities Infrastructure Award, CFI/OIT (2003) Award for Innovation, Solinet Systems (2001, 2002) Inventor Recognition Award, Nortel Networks (2000) She has advised over 20 graduate students including current PhD candidates and former students now at MIT, Princeton, Amazon, and Ciena. Major grants include the CFI/OIT New Opportunities Infrastructure Award (2003). Her research bridges theoretical game control with practical implementations in optical and transportation networks. As co-director of the System Control Group and member of the Photonics Group, she leads teams developing algorithms for autonomous network optimization. Current projects focus on stochastic approximation methods for multi-agent learning and energy-efficient network design.
