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Sevak TahmasianView profile

Senior Lecturer

• Mechanical Engineering
• Control Systems
• Biomimetics
• +5 more

Dr. Sevak Tahmasian is an Advanced Instructor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering. His expertise lies in vibrational control systems, biomimetic robotics, and the dynamics of mechanical systems. He holds a Ph.D. in Engineering Mechanics from Virginia Tech (2015), and M.S. and B.S. in Mechanical Engineering from Isfahan University of Technology (2001 and 1998). Dr. Tahmasian has received the Leader in Teaching Award twice (2019 and 2022) from Virginia Tech's Biomedical Engineering and Mechanics department. His research focuses on advancing control strategies for mechanical systems using averaging methods, with applications in biomimetic systems like insect flight and swimming robots. Key areas include vibrational stabilization, drag-based propulsion, and optimization of dynamic systems. His work bridges mechanical engineering, robotics, and fluid dynamics to solve complex locomotion and control problems. Notable research trends in his publications include: Development of vibrational control techniques for underactuated systems Analysis of biological systems (insects, flying snakes) to inform robotic designs Integration of higher-order averaging methods for enhanced system stability Optimization of drag-based swimmers and flapping mechanisms His awards highlight his excellence in teaching engineering mechanics concepts. No information on grants or student advising is explicitly stated in the provided materials.

Imon ChakrabortyView profile

Associate Professor

• Urban Air Mobility
• Flight Dynamics
• Aircraft Design
• +2 more

Dr. Imon Chakraborty is an Associate Professor in the Department of Aerospace Engineering at Auburn University's Samuel Ginn College of Engineering. His research focuses on integrated vehicle sizing, flight dynamics, and urban air mobility systems. He leads the Vehicle Systems, Dynamics, and Design Laboratory where his team has won international competitions including the Vertical Flight Society award. Research Interests: Urban Air Mobility, Flight Dynamics and Control, Electric VTOL Aircraft Design, Aircraft Sizing and Optimization, Pilot-Vehicle Interface Design, Simulation-Based Design Methodologies. Awards and Honors: AIAA Associate Fellow (2023) Best Paper Award for Urban Air Mobility Research (2023) Vertical Flight Society International Competition Winner (2023) FAA Research Grant Recipient (2023) NASA Transformational Tools and Technologies Grant (2023) Dr. Chakraborty advises multiple graduate students and leads projects funded by NASA, FAA, and U.S. Air Force Agility Prime program. His laboratory develops prototype aircraft including subscale VTOL models and airship propulsion systems.

Yufei LiView profile

Professor

• Database Systems
• Software Engineering
• Machine Learning
• +3 more

Yufei Li is a Professor at Xi'an Jiaotong University's School of Computer Science and Technology, Department of Computer Science. With an extensive publication record spanning from 2007 to 2025, Dr. Li has established himself as a prominent researcher in database systems, software engineering, and machine learning applications. His work demonstrates strong interdisciplinary connections between computer science and electrical engineering, particularly in power systems applications. Dr. Li's research interests span multiple domains of computer science and engineering. His primary focus is on database systems, where he has pioneered work in LLM-based database tuning systems like GPTuner. He also has significant contributions in software configuration and performance optimization, as evidenced by his CSAT framework. His research extends to computer vision applications for security screening and medical diagnostics, as well as electrical engineering applications in power systems and UAV control. This diverse portfolio demonstrates his ability to bridge theoretical computer science with practical engineering applications across multiple domains. Analysis of Dr. Li's recent publications (2023-2025) reveals a strong trend toward integrating large language models with traditional computer science domains. His work on GPTuner represents a significant advancement in applying LLMs to database tuning, while his research on QUITE demonstrates innovative approaches to query rewriting using LLM agents. There's also a clear pattern of applying advanced machine learning techniques to solve domain-specific problems across electrical engineering, medical diagnostics, and industrial quality control. The interdisciplinary nature of his work positions him at the forefront of AI integration across multiple engineering disciplines. Dr. Li has established a productive research group with numerous doctoral students and collaborators, particularly Jiale Lao, Yibo Wang, and Jianguo Wang who frequently appear as co-authors on his recent publications. His research has been consistently funded, as evidenced by the steady stream of publications across multiple high-impact venues including IEEE Access, Journal of Systems and Software, and CVPR. His work demonstrates strong industry relevance with applications in database management, software configuration, security screening, and power systems. Dr. Li leads a research team focused on database systems and AI integration, with strong connections to both computer science and electrical engineering domains. His group appears to specialize in applying cutting-edge machine learning techniques, particularly large language models, to solve longstanding problems in database management and software engineering. The team maintains active collaborations with researchers across multiple institutions, as evidenced by the diverse author lists on his publications.

Kanad GhoseView profile

Professor

• Computer Architecture
• Power-Aware Systems
• High-Performance Computing
• +6 more

Kanad Ghose is a Distinguished Professor and Director of the Center for Energy-Smart Electronic Systems (ES2) at SUNY Binghamton's School of Computing. His research focuses on computer architecture, power-aware systems, high-performance computing, and cybersecurity. He leads projects in data center energy management, secure processor design, and flexible electronics for wearable health monitoring. Education: BTech/M.Tech from University of Calcutta; MS/PhD from Iowa State University Awards: SUNY Chancellor's Award, IBM Faculty Award, National Science Talent Search Research interests include energy-efficient microarchitectures, cybersecurity at the hardware level, and autonomous systems. Notable projects involve data center cooling optimization, secure execution validation, and wearable ECG sensors. His lab collaborates with industry partners like Intel, Lockheed Martin, and UC Berkeley's Arias group. Current projects include DC-powered data centers, FPGA accelerators, and flexible electronics for clinical-grade health monitoring. Past work includes the MARSSx86 simulator and ARINC-compliant avionics systems.

Jonathan GallimoreView profile

Senior Lecturer

• Educational Pedagogy
• Active Learning Techniques
• Flipped Classroom Models
• +4 more

Jonathan Gallimore is a Senior Lecturer at the University of Wisconsin–Madison, focusing on innovative teaching methodologies in psychology and STEM education. He holds a Ph.D. in Experimental Psychology from Washington State University (2013), an M.S. in Human Development and Social Policy from the University of Utah (2009), and undergraduate degrees from Salt Lake Community College and the University of Utah. His expertise includes flipped classroom models, active learning strategies, and evidence-based pedagogy. He has been honored as a UW-Madison Honored Instructor in Fall 2019 and Spring 2020. Education A.S. Psychology (2001) – Salt Lake Community College B.S. Psychology (2007) – University of Utah M.S. Human Development and Social Policy (2009) – University of Utah Ph.D. Experimental Psychology (2013) – Washington State University Certificates: Human Factors Certificate, Researcher Designation Research Interests Gallimore’s work centers on enhancing student engagement through innovative teaching practices. Key themes include the flipped classroom model’s effectiveness in STEM disciplines, active learning techniques, and integrating research into curriculum design. His studies often analyze student performance metrics and pedagogical strategies to improve educational outcomes. Teaching & Recognition He teaches courses such as Psych 202, 210, and 311 at UW-Madison. His teaching philosophy emphasizes student-centered approaches, including Team-Based Learning and Problem-Oriented Guided Inquiry Learning (POGIL). Awards reflect his impactful contributions to undergraduate education. Grants & Labs While no specific grants are listed, his publications indicate active involvement in educational research and curriculum development initiatives.

Mark L PsiakiView profile

Professor

• GPS/GNSS Signal Processing
• Navigation Systems
• Kalman Filtering
• +7 more

Mark L. Psiaki is the Kevin Crofton Faculty Chair in Aerospace and Ocean Engineering at Virginia Tech. His research focuses on dynamics, control, and estimation with applications in GPS/GNSS navigation, spacecraft systems, and remote sensing. He holds a Ph.D. from Princeton University (1987) and has been recognized with prestigious awards, including AIAA Fellow and ION Fellow. Education: Ph.D. (Mechanical and Aerospace Engineering), Princeton University, 1987 M.A. (Mechanical and Aerospace Engineering), Princeton University, 1982 B.A. (Physics), Princeton University, 1979 Research Interests: GPS/GNSS signal processing, Kalman filtering, spacecraft attitude/orbit determination, anti-spoofing techniques, and ionospheric remote sensing. His work combines algorithmic innovation with experimental validation, including hardware development for space weather monitoring and spoofing detection systems. Articles Overview: Recent publications emphasize LEO-based navigation, spoofing detection, and Earth orientation studies. His work bridges theoretical estimation methods with real-world applications, such as autonomous lunar positioning and HF signal navigation. Awards: Includes the AIAA Mechanics of Control and Flight Award (2022), ION Johannes Kepler Award (2021), and multiple best-paper awards at AIAA conferences. Advising & Grants: Advised over 20 graduate students, many now leading in academia and industry. Active in federally funded projects, including NASA and DoD initiatives on navigation security and space systems. Labs/Teams: Leads the Psiaki Group at Virginia Tech, focusing on GNSS receiver design, space systems, and cybersecurity. Collaborates with institutions like Cornell University and NASA on projects like the GROUP-C ISS experiment.

Hrvoje NovakView profile

Researcher

• Control Systems
• Machine Learning
• Energy Management
• +6 more

Hrvoje Novak is a Leading Researcher at the Department of Control and Computer Engineering, University of Zagreb Faculty of Electrical Engineering and Computing. His work focuses on interdisciplinary research spanning energy systems optimization, precision agriculture, and advanced control methodologies. He has contributed to innovative solutions in predictive control for building energy management, railway traction systems, and water treatment infrastructure. His research integrates machine learning, IoT, and remote sensing technologies to address challenges in smart grids, crop health monitoring, and insect pest management. Key research areas include: Predictive control strategies for energy-efficient systems Machine learning applications in agricultural pest detection Data-driven modeling of urban traffic and infrastructure IoT-based plant development modeling systems Optimization of railway traction and energy storage systems His publications emphasize practical implementations such as hierarchical building energy management, flight mill analysis for invasive species, and grey-box modeling of water treatment plants. Novak collaborates across academic and industrial sectors to advance sustainable technologies.

Michael PhilenView profile

Professor

• Adaptive Structures
• Smart Materials
• Structural Dynamics and Control
• +5 more

Professor Michael Philen is a Professor and Assistant Department Head for Laboratory Facilities in the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Polytechnic Institute and State University . He directs the Aerospace Structures and Materials Laboratory (ASML) and is a core member of the Center for Research and Engineering in Aero/Hydrodynamic Technologies (CREATe) . Education Ph.D. Mechanical Engineering, The Pennsylvania State University, 2006 M.S. Mechanical Engineering, The Pennsylvania State University, 2005 B.S. Mechanical Engineering, Texas A&M University, 1998 Research Interests Professor Philen’s research centers on adaptive structures and smart materials . He investigates how advanced actuator and sensor technologies—such as piezoelectrics, shape-memory alloys, magnetorheological fluids, and fluidic flexible matrix composites—can be integrated to create intelligent systems that adapt to external stimuli. His work spans morphing aircraft control surfaces , prosthetic sockets with adaptive fit , energy-harvesting composites , structural health monitoring , and variable-stiffness structures . Recent publications (2020–2024) demonstrate a strong emphasis on translating fundamental material science into practical biomedical and aerospace devices, with particular attention to experimental validation and multi-scale modeling. The body of work evidences a trend toward multifunctional composites that simultaneously provide structure, sensing, actuation, and energy harvesting. Honors & Awards 2020 Dean's Award for Excellence in Service 2015 AIAA Associate Fellow 2011 Dean’s Award for Excellence in Teaching 2010 Dean’s Award for Outstanding New Assistant Professor 2009 ASME Adaptive Structures and Material Systems Best Paper Award in Structural Dynamics and Control 2008–2009 Certificate of Teaching Excellence 2008 Ralph E. Powe Junior Faculty Enhancement Award (ORAU) 2008 Air Force Summer Faculty Fellowship 1998–2006 Eastman Kodak Research Fellow Service, Grants & Labs Professor Philen has served as Chair (2020–present) of the ASME Aerospace Division Adaptive Structures and Material Systems Branch Committee, and as General Chair of the 2016 ASME SMASIS Conference . He is an Associate Editor for the Journal of Intelligent Material Systems and Structures and Smart Materials and Structures , and has held numerous guest-editor roles for special issues in these journals. He directs the Aerospace Structures and Materials Laboratory (ASML) at Virginia Tech, a facility dedicated to advanced diagnostics, experimental testing, and development of adaptive structures and smart materials. ASML houses capabilities for structural dynamics, control testing, and characterization of multifunctional composites.

Tassos PlioutsiasView profile

Assistant Professor

• Human Factors
• Aviation Safety
• Accident & Incident Investigations
• +4 more

Tassos Plioutsias is an Assistant Professor of Human Factors at the CEES School of Engineering, Coventry University. With a 27-year career as a fighter pilot in the Hellenic Air Force, he specializes in aviation safety, accident investigations, and human factors engineering. He holds a PhD in Engineering and Ergonomics from the National Technical University of Athens and additional qualifications in project management and aviation safety investigations. Education: PhD in Engineering and Ergonomics, National Technical University of Athens (2021) MSc in Project Management and Aviation Safety Investigations, University of Thessaly (2018) Bachelor’s in Business Administration & Management, University of Applied Sciences of Thessaly (2014) Aeronautics & Pilot Training, Hellenic Air Force Academy (1996) Research Interests: His work focuses on integrating human factors into aviation systems, accident investigation methodologies, risk management, and the application of AI in human performance analysis. He actively explores safety management systems (SMS), crew resource management (CRM), and the ergonomics of autonomous vehicles (CAVs). Advising & Grants: Currently accepting PhD students in Human Factors and Aviation Safety. His professional roles include Safety Manager, Accident Investigator, and instructor in Human Performance in Military Aviation (HPMA). Labs & Collaborations: Engaged in cross-disciplinary research on aviation safety, collaborating with institutions like the Royal Aeronautical Society (RAeS) and the European Chapter of the Human Factors and Ergonomics Society.

• Mechatronic Systems
• Hydraulic Actuators
• Aerospace Engineering
• +1 more

Magnus Landberg is an Adjunct Assistant Lecturer in Fluid and Mechatronic Systems at Linköping University's Department of Management and Engineering. His research focuses on advanced actuator technologies for aerospace and industrial applications. Recent projects include morphing wing actuators for aircraft and hydraulic systems for agricultural logistics. Publications demonstrate consistent focus on improving efficiency and flexibility in mechanical systems through innovative actuator designs. Research collaborations extend to aerospace and agricultural engineering domains.

Jörg SchminderView profile

Lecturer

• Aerospace Engineering
• Thermal Systems
• Engineering Education
• +3 more

Jörg Schminder is a Lecturer at Linköping University's Department of Management and Engineering (IEI). His research focuses on aerospace thermal systems, human factors engineering, and innovative educational technologies. He is actively involved in the LiU VR lab, which pioneers virtual reality applications in engineering education. His work integrates simulation models for cockpit thermal comfort, co-simulation frameworks, and digital teaching strategies to enhance both technical and pedagogical outcomes. Key research areas include aircraft passenger thermal comfort, pilot heat stress assessment, and IVR-based educational laboratories adhering to CDIO standards. Schminder's contributions bridge engineering design with human-centric solutions, such as thermoregulatory simulation models and interdisciplinary co-simulation tools. His recent work addresses post-pandemic educational challenges, emphasizing student support in digital learning environments. Notable projects: LiU VR lab (virtual simulation for engineering education) Publications span thermal modeling, cockpit environment optimization, and aviation human factors

Judith RosenowView profile

Professor

• Air Traffic Management
• Aerospace Engineering
• Environmental Impact Assessment
• +3 more

Dr. Judith Rosenow is a Professor and Chair of Air Transport Technology and Logistics at Technische Universität Dresden. She specializes in air traffic optimization, climate impact of aviation, and trajectory planning. Her research integrates multi-criteria optimization, uncertainty management, and environmental considerations. Rosenow leads projects like ICATO (contrail avoidance) and ProfiFuel (fuel-efficient trajectories), and collaborates internationally on air traffic flow management. Recognized as an elected member of the Saxon Academy of Sciences' Young Forum, she contributes to interdisciplinary scientific exchange. She teaches courses on flight planning, terminal processes, and aerodynamics, and oversees student thesis distribution and TU Delft's MINOR program. Her work bridges academic research with practical applications in air traffic systems. Education: Dr.-Ing. habil. (Habilitation) in Engineering Research Focus: Trajectory optimization, contrail mitigation, airspace efficiency, and climate impacts Projects: Principal Investigator for Graduiertenkolleg AirMetro Topic 7 Micro Climate; leads ICATO, ProfiFuel, Utopia II, and UBIQUITOUS initiatives Scientific Contributions: Over 38 peer-reviewed articles since 2016, covering trajectory prediction, delay propagation, and climate modeling. Key contributions include stochastic trajectory optimization frameworks and contrail lifecycle validation. Awards: Member of the Saxon Academy of Sciences' Young Forum (2023).

• Hypersonic Aerodynamics
• Fluid Dynamics
• Aerodynamics
• +3 more

Joseph Jewell is an Associate Professor of Aeronautics and Astronautics at Purdue University, courtesy-affiliated with the School of Mechanical Engineering. His research focuses on hypersonic aerodynamics, boundary-layer instabilities, and flow control in high-speed regimes. He leads experimental and computational studies utilizing advanced diagnostics such as focused laser differential interferometry and pressure-sensitive paint in facilities like the Boeing-AFOSR Mach-6 Quiet Tunnel. Key areas include separation bubbles, transition prediction, and hypersonic vehicle inlet design. His work addresses challenges in thermal protection systems, shock-wave interactions, and environmental impacts of hypersonic flight. Research interests span experimental and numerical analysis of hypersonic flows, with emphasis on quiet flow conditions to isolate fundamental instability mechanisms. He collaborates on projects related to HIFiRE flight experiments and advanced materials for hypersonic applications. His contributions bridge computational models with empirical data to advance understanding of hypersonic aerodynamics. Recent studies include investigations into ice crystal impacts on hypersonic vehicles, porous material effects on boundary-layer stability, and the dynamics of internal waverider inlets. His work has implications for next-generation hypersonic propulsion systems and reentry vehicles.

Hua WangView profile

Associate Professor

• Nonlinear Control
• Bifurcation Control
• Robotics
• +3 more

Hua Wang is an Associate Professor and Associate Division Head at the Division of Systems Engineering at Boston University. He holds a Ph.D. from the University of Maryland and is affiliated with the Center for Information and Systems Engineering (CISE). His research focuses on nonlinear control, bifurcation control, robotics, and applications in biomedical, energy, and aerospace systems. He is a Senior Member of IEEE (2001) and was honored as one of the Most Influential Asian American Pacific Islanders of 2023 for his academic contributions and community service. His work includes advancements in bifurcation analysis, chaotic systems, and control methodologies for complex networks. Dr. Wang’s research interests span multiple domains, including the control of nonlinear phenomena, robotics path planning, and stability analysis in fractional-order systems. His recent publications highlight innovations in UAV control, gene regulatory networks, and secure communication systems. He has also contributed to interdisciplinary projects, such as pandemic response efforts through the Chinese American Association of Lexington, where he organized PPE donations to Wuhan and Massachusetts during the COVID-19 crisis. Awards: Most Influential Asian American Pacific Islanders (2023), IEEE Senior Member (2001) Key Roles: Associate Division Head of Systems Engineering, Affiliate of BU’s CISE Philanthropy: Coordinated $190K in PPE donations to frontline workers during the pandemic His publications reflect a strong emphasis on interdisciplinary applications, blending control theory with robotics, biology, and aerospace engineering. Current work trends include fractional-order systems, bifurcation control in networks, and robust stabilization techniques.

Riccardo PatriarcaView profile

Assistant Professor

• Resilience Engineering
• Risk Management
• Industrial Systems Engineering
• +4 more

Riccardo Patriarca is an Assistant Professor in Industrial Systems Engineering at Sapienza University of Rome's Department of Mechanical and Aerospace Engineering, part of the Faculty of Civil and Industrial Engineering. He holds adjunct professor and lecturer roles in courses such as Operations Management and Risk Management. His research focuses on resilience engineering, risk assessment, and safety management in complex socio-technical systems, including aviation, industrial plants, and critical infrastructures. He co-founded aiComply, a Sapienza spin-off addressing risk and compliance challenges. His work combines theoretical frameworks (e.g., STAMP, FRAM) with practical applications in cyber-physical systems and emergency response. Education: BSc and MSc in Aerospace/Aeronautical Engineering (Sapienza), PhD in Industrial and Management Engineering (2017). Postdoctoral research at Sapienza (2018–2021) and collaborations with Lund University and Eurocontrol. He has authored over 100 peer-reviewed papers, edited journals including Safety Science and Reliability Engineering , and serves as a guest editor for Sustainability . Research highlights include systemic safety analysis for advanced air mobility (eVTOLs), Bayesian methods for hydrogen safety, and resilience metrics for healthcare systems. Awards include the Royal Aeronautical Society Young Person Award (2017), Forbes 30 Under 30 (2019), and National Academic Qualification as Associate Professor (2018). His work bridges academia and industry, emphasizing human factors and digital transformation.