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Rajat MittalView profile

Professor

• Computational Fluid Dynamics
• Biomedical Engineering
• Fluid-Structure Interaction
• +7 more

Rajat Mittal is a Professor of Mechanical Engineering at Johns Hopkins University (JHU), affiliated with the Whiting School of Engineering. He holds a secondary appointment in the JHU School of Medicine. His research focuses on computational fluid dynamics (CFD), biomedical flows, and bioinspired engineering, with applications to heart valve dynamics, digestive physiology, and drone rotor design. Education: B.S. in Aeronautical Engineering from IIT Kanpur (1989), M.S. in Aerospace Engineering from the University of Florida (1991), Ph.D. in Applied Mechanics from UIUC (1995). Postdoctoral research at Stanford University’s Center for Turbulence Research (1995-1996). Research emphasizes immersed boundary methods, fluid-structure interaction, and multiphase flow modeling. Key areas include gastric digestion mechanics, bioacoustics, and biomimetic propulsion systems. His lab (Flow Physics and Computation Lab) collaborates with zoology, cardiology, and robotics experts. Notable awards include the 2025 AIMBE Fellowship, 2022 Stanley Corrsin Award, and 2021 Freeman Scholar Award. He edits four journals and advises on projects funded by NIH, NSF, and DARPA. His work bridges engineering and medicine, with applications to surgical planning and medical device design. Recent projects model stomach biomechanics post-bariatric surgery, optimize drone rotor noise reduction, and study fish schooling hydrodynamics. He also explores transonic flutter in wings and porous media flow control.

Giuseppe LoiannoView profile

Associate Professor

• Robotics
• Autonomous Systems
• Micro Aerial Vehicles (MAVs)
• +7 more

Giuseppe Loianno is an Associate Professor in the Electrical and Computer Engineering Department at New York University (NYU) , and Director of the Agile Robotics and Perception Lab (ARPL) . His research focuses on autonomous Micro Aerial Vehicles (MAVs), perception, and control for robotics in unstructured environments. Prior to NYU, he held roles at the University of Pennsylvania's GRASP Lab as a Lecturer and Research Scientist. Affiliations: NYU WIRELESS, Center for Advanced Technology in Telecommunications (CATT) Education: BSc/MSc (University of Naples 'Federico II'), PhD in Computer and Control Engineering (2014) His work emphasizes agile robotics autonomy , particularly enabling drones to navigate without external infrastructure like GPS. Key innovations include bioinspired propellers for collision resilience and vision-based navigation systems. He has published over 70 papers and received prestigious awards including the NSF CAREER Award (2022) and DARPA Young Faculty Award (2022). Loianno actively organizes robotics conferences: Co-chair of IEEE RAS Technical Committee on Aerial Robotics, Program Chair for IROS 2024, and founder of the International Symposium on Aerial Robotics (ISAR). His lab's projects span cooperative robotics, human-drone collaboration, and autonomous charging systems for perpetual missions. Recent articles explore UAV-based thermal geo-localization , human-in-the-loop navigation , and resilient control strategies for quadrotors. His research has been featured in major robotics journals and international media.

Aykut TamerView profile

Lecturer

• Aerospace Engineering
• Vibration Control
• Aeroelastic Stability
• +4 more

Dr. Aykut Tamer is a Lecturer in the Department of Mechanical Engineering at the University of Bath, affiliated with the IAAPS and Centre for Integrated Materials, Processes & Structures (IMPS). He holds a PhD in Aerospace Engineering from Politecnico di Milano (2015), and MSc and BSc degrees from Middle East Technical University (2011, 2007). His research focuses on rotorcraft dynamics, vibration control, and aeroelastic stability, with applications in novel aircraft architectures and hydrogen integration. He is an Associate Editor at the Journal of Aerospace Engineering and coordinates the Mechanical Engineering Research Staff. Dr. Tamer’s research interests include predicting novel aircraft behaviors, improving human-machine interaction in VTOL aircraft, and enhancing aeroelastic stability through nonlinear dynamics analysis. His work combines experimental and numerical methods, with recent contributions to vibration attenuation in helicopters and structural analysis of additive-manufactured materials. He has held external roles as a Research Associate at Imperial College London (2019–2023) and a Research Fellow at Politecnico di Milano (2015–2019), and previously worked as a Loads and Aeroelasticity Engineer at Turkish Aerospace (2007–2011). He teaches advanced helicopter dynamics and aerospace design projects, emphasizing practical applications of theoretical concepts. Dr. Tamer actively supervises doctoral students and offers funded PhD opportunities in rotorcraft performance. His research spans multidisciplinary topics such as laser powder bed fusion, Lyapunov stability analysis, and urban air mobility comfort assessment.

• Aerospace Control
• Guidance, Navigation and Control (GNC)
• Unmanned Aircraft Systems (UAV)
• +3 more

Nadjim Horri is a Lecturer in aerospace control and Course Director of the MSc Aerospace Engineering at the University of Leicester. He is affiliated with the School of Engineering, and a member of the Aerospace Research Group and the Green Energy and Transportation Research Group. His research focuses on safe, resilient GNC systems for manned/unmanned aircraft, satellite AOCS, and space mission design. He collaborates with Space Park Leicester on satellite control systems. Education: PhD from the University of Surrey (attitude control of underactuated spacecraft), followed by roles as a Research Fellow at Surrey Space Centre and Assistant Professor at Coventry University. His work includes EU projects like ASTRONET and AAReST, and Innovate UK projects on CAV parking. Research interests include UAV path planning, fault detection, secure estimation against cyberattacks, wind disturbance rejection, and AI-enhanced control. He teaches modules on real-time control, avionics, and spacecraft dynamics. His expertise spans flight simulation, HIL implementations, and multimode GNC systems. Labs/Teams: Active contributor to Surrey Space Centre projects, aerospace research group collaborations, and interdisciplinary green energy initiatives.

• Environmental Acoustics
• Bioacoustics
• Outdoor Noise Prediction
• +4 more

Guillaume Dutilleux is a Professor in the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU) in Trondheim. His research focuses on environmental acoustics, bioacoustics, and noise prediction methods. He holds a PhD in Building Acoustics from Lyon I University (1999) and has worked at Cerema Est in France before joining NTNU in 2016. Education: BSc in Computer Science (ENTPE, 1994) MSc in Acoustics and Vibrations (INSA Lyon, 1994) PhD in Building Acoustics (Lyon I University, 1999) BSc in Biology (Strasbourg University, 2007) Research Interests: Engineering-grade outdoor noise prediction Acoustic monitoring of endangered species Impacts of anthropogenic noise on ecosystems Time-domain acoustic system analysis Wind turbine and transportation noise effects 3D acoustic tracking and biodiversity assessment Recent Research Trends: His publications emphasize advancements in acoustic prediction models (e.g., sound emergence theory, tensor LMS algorithms), bioacoustic tracking of wildlife (e.g., spadefoot toads, bird flight displays), and regulatory noise compliance (e.g., CNOSSOS-EU alignment). Collaborations with engineers and ecologists highlight interdisciplinary approaches to noise pollution and biodiversity challenges. Teaching & Outreach: Teaches courses on bioacoustics, acoustic measurement techniques, and electronic systems design at NTNU Active in international acoustics conferences (e.g., ICBEN, Euronoise) Develops hands-on experimental training programs for students Labs & Teams: His work integrates acoustic software development, field monitoring systems, and interdisciplinary collaborations with environmental scientists and engineers.

Paul CizmasView profile

Professor

• Propulsion
• Unsteady Aerodynamics
• Computational Fluid Dynamics
• +7 more

Paul Cizmas is a Professor in the Department of Aerospace Engineering at Texas A&M University, part of the College of Engineering. He holds a Ph.D. from Duke University (1995) and a Dipl.-Ing. from the Polytechnic Institute, Bucharest (1984). His research focuses on propulsion systems, computational fluid dynamics (CFD), unsteady aerodynamics, and aeroelasticity, with a strong emphasis on reduced-order models and thermal management in turbomachinery. He has authored influential books like Aerothermodynamics and Jet Propulsion (Cambridge University Press, 2022). Dr. Cizmas leads research on sonic boom reduction, turbulence modeling, and combustion mechanisms. His work integrates advanced numerical methods, such as proper orthogonal decomposition (POD), to enhance computational efficiency in simulating complex flows. He has contributed to the development of the UNS3D CFD solver, validated through AIAA workshops. Awards include the Boeing Research and Technology Performance Award (2018) and the Herbert H. Richardson Faculty Fellowship (2009). Education: Ph.D., Duke University, 1995 Dipl.-Ing., Polytechnic Institute, Bucharest, 1984 Awards: Research and Technology Performance and Innovation Award (Boeing, 2018) Structures and Dynamics Committee Best Paper Award (ASME, 2011) Herbert H. Richardson Faculty Fellow Award (Texas A&M, 2009) His advising and grants focus on CFD applications in propulsion, with collaborations spanning academic and industrial partners. He directs the Computational Fluid Dynamics for Aerospace Applications group, advancing methodologies for low-boom aircraft design and multiphase flow dynamics. His lab develops open-source software tools for turbulence modeling and reduced-order simulations.

Hassan Saad IftiView profile

Assistant Professor

• Hypersonics
• Transpiration Cooling
• Porous Media Flow
• +4 more

Hassan Saad Ifti is an Assistant Professor in the Department of Aerospace Engineering at Texas A&M University, affiliated with the College of Engineering. His research focuses on hypersonics, transpiration cooling, and boundary-layer dynamics. He holds a D.Phil. from the University of Oxford (2022), an M.Sc. (2016), and a B.Sc. (2014) in Aerospace Engineering from the University of Stuttgart. Research interests include analytical and numerical modeling of transpiration cooling systems, shock-boundary layer interactions, and porous media flow phenomena. His work addresses thermal protection challenges in hypersonic flight through experimental and computational methods. Key publications (2022-2023) investigate transpiration cooling mechanisms in hypersonic boundary layers, combining experimental validation with numerical simulations. He has contributed to understanding coolant distribution dynamics and material behavior under extreme conditions. Currently no scientific awards or grants are explicitly listed. Office location: HRBB 611C, Texas A&M University.

Akhil Datta-GuptaView profile

Professor

• Flow Simulation
• Reservoir Optimization
• Parameter Estimation
• +3 more

Akhil Datta-Gupta is University Distinguished Professor, Regents Professor, and L.F. Peterson '36 Chair in the Harold Vance Department of Petroleum Engineering at Texas A&M University, with joint affiliation in Chemical Engineering. A National Academy of Engineering member, he holds a Ph.D. (1992) and M.S. (1985) from University of Texas at Austin, and a B.S. (1982) from Indian School of Mines. Research focuses on rapid flow simulation, reservoir optimization, inverse modeling for parameter estimation, and uncertainty quantification. Specific methodologies include streamline simulation applications and data integration across scales. Additional interests encompass geostatistics, enhanced oil recovery modeling, and subsurface imaging. Honors include SPE Honorary Membership, John Franklin Carll Award, Lester C. Uren Award, and DOE recognition for contributions to geosciences. Publications demonstrate consistent innovation in reservoir simulation, with recent expansion into machine learning applications for subsurface challenges and materials science.

Raj DasView profile

Professor

• Computational Mechanics
• Structural Optimization
• Composite Materials
• +4 more

Professor Raj Das is a Full Professor of 'Structures and Materials' and Deputy Head of Department (Research & Innovation) at RMIT University's School of Engineering. He leads the 'Simulation of Advanced Materials and Structures (SAMS)' research group and serves as Program Director for Aerospace Engineering and Aviation. His roles include honorary academic positions at the University of Auckland and University of Quebec. He holds over 20 years of expertise in computational mechanics, composite materials, and structural optimization, with over 350 publications. Das chairs national committees like the National Committee on Applied Mechanics (Engineers Australia) and international roles such as President of the International Congress on Mechanical Behaviour of Materials (ICM). His research focuses on advanced materials, additive manufacturing, and aerospace structures, addressing sustainability through lightweight composites and metamaterials. Education: PhD in Applied Mechanics from Monash University. Prior roles include positions at the University of Auckland, CSIRO, and University of Manchester. Research Interests: Composite materials, metamaterials, additive manufacturing, fracture mechanics, computational modeling. Key Awards: Sir George Julius Medal (2023), Computational Methods Award (ICCM), Jim & Hazel D. Lord Fellowship (2011). Grants/Industry: Collaborations with global industries and institutions on projects like fire-resistant composites and AM alloys. Teaching: Courses in composite materials, finite element methods, and structural analysis at RMIT and the University of Auckland. Supervises PhD projects on topics like hybrid composites and topology optimization. Labs/Teams: Leads SAMS Group and affiliated with Sir Lawrence Wackett Research Centre. Engages in initiatives like Au-Manufacturing Forum and DSI News.

Aaron McFadyenView profile

Senior Lecturer

• Unmanned Traffic Management
• Aerospace Engineering
• Robotics
• +3 more

Dr. Aaron McFadyen is a Senior Lecturer in the School of Electrical Engineering & Robotics at Queensland University of Technology (QUT), with a focus on aerospace engineering, robotics, and control systems. He holds a PhD from QUT and has extensive industry experience in flight simulation and autonomous systems research. His research emphasizes unmanned traffic management (UTM), air traffic modeling, and quantitative risk analysis, with applications in drone integration and airspace safety. He has secured over $1.5M in research funding and led projects for organizations like Airservices Australia and CASA. Key achievements include developing Australia's Automated Airspace Authorization system and winning the 2019 IEEE/AIAA Best Unmanned Traffic Management Paper Award. Education: PhD in Robotics and Autonomous Systems (QUT), Private Pilot License (CASA), and qualifications in aerospace engineering. Professional memberships include IEEE, JARUS, and the Control System Society. Research interests span UTM systems, collision risk modeling, and control systems for autonomous vehicles. His work bridges academia and industry, addressing challenges in air traffic management and robotics. Recent publications focus on nonlinear control, airspace risk analysis, and multi-agent systems. He has supervised undergraduate, masters, and PhD students in aerospace and robotics. Awards include the ARC DECRA Fellowship (2020) and Advance Queensland Mid-Career Fellowship (2020). His lab collaborations include the Australian Research Centre for Aerospace Automation (ARCAA) and ETH Zurich's Autonomous Systems Lab.

Pablo NogueiraView profile

Lecturer

• Programming Language Theory
• Programming Language Design
• Programming Language Implementation
• +9 more

Pablo Nogueira is a Permanent Lecturer and Researcher at the Technical University of Madrid, Spain. He is affiliated with the School of Computer Engineering (E.T.S.I. Informáticos) and the Department of Computer Languages and Systems and Software Engineering. His research focuses on foundational aspects of computer science, with extensive teaching experience across diverse programming paradigms and technical domains. Research Interests: His work spans programming language theory, design, and implementation, with specialized expertise in logic-based computer science, lambda calculi, operational semantics, and program transformation techniques. Key innovations include full-reducing abstract machines, proof-directed debugging methodologies, variable-free unification using relational algebra, datatype-generic functional programming, and advanced parsing techniques. Technology Transfer: He has led projects developing virtual-reality simulators for education and public safety, with a patent pending for delta-wing hang glider flight simulation technology (WO/2025/032276). Additional contributions include synthetic content generation for neural network training and applications in educational neuroscience.

• Aerospace Engineering
• Optimal Control Theory
• Air Traffic Management
• +5 more

Manuel Fernando Soler Arnedo is a Full Professor in the Aerospace Engineering Department at Carlos III University of Madrid's College of Engineering. His research focuses on Aerospace Engineering with specialization in Optimal Control Theory , Climate Impact Mitigation , and Artificial Intelligence applications for air traffic systems. He leads the Aerospace Engineering Research Group and has contributed extensively to Flight Trajectory Optimization , Weather-Induced Uncertainty , and Network-scale Conflict Resolution . Principal Researcher on EU-funded projects like F4EClim (2024-2027) and KAIROS (2023-2026) Key international collaborations with NEXTOR (UC Berkeley) and ETH Zurich Developed tools like CLIMaCCF V1.0 and ROOST V1.0 for climate-aware flight planning His work integrates Artificial Intelligence with Climate Modeling to address 4D Trajectory Planning , Thunderstorm Avoidance , and Non-CO2 Emission Reduction in aviation. Recent publications emphasize Robust Optimization under meteorological uncertainty and Deep Learning for traffic flow management. He has supervised theses on Data Science for Weather Mitigation and Multi-objective Space Mission Design , with grants from European Commission , Boeing , and Spanish government agencies .

• Aeronautics
• Materials Science and Engineering
• Mechanical Engineering
• +4 more

Andrea Cini serves as an Assistant Professor in the Department of Aerospace Engineering within the School of Engineering at Universidad Carlos III de Madrid (UC3M). His academic profile is centered on advanced aerospace materials and sustainable aircraft design, with strong industry collaborations including Airbus, Aernnova, and European Commission-funded initiatives. His research spans fatigue and fracture mechanics of aerospace alloys , hybrid-electric propulsion integration , and additive manufacturing for aircraft components . Key projects include ODE4HERA (Open Digital Environment for Hybrid-Electric Regional Architecture) funded by the European Commission (2024-2026), TIFON (AI for Design and Manufacturing), and CETACEO with Airbus Defence and Space. His experimental and computational work focuses on improving structural integrity through laser shock peening, composite crashworthiness, and vibration analysis of 3D-printed metals. Dr. Cini's publication trends reveal a strategic shift toward sustainable aviation (2022-2025), with 60% of recent work addressing hybrid-electric retrofitting and hydrogen propulsion systems. Earlier research (2009-2017) established his expertise in aluminum alloy fatigue mechanisms, particularly scratch-induced cracking in 2024-T351 sheets used in aircraft skins. His subfield specializations consistently emphasize real-world aerospace applications, from fuselage stanchion crashworthiness to joined-wing assembly solutions for next-gen aircraft. Major research funding includes: European Commission grants (ODE4HERA, INDIGO, ALARM) Spanish National Agency projects (TIFON, Hydrogen Powertrain Development) Industry contracts with Airbus, Aernnova, and Stargate Hydrogen Solutions International collaborations with Politecnico di Torino and CIRA His laboratory work integrates experimental fatigue testing with advanced FEM simulations, notably in the Rear End Virtual Testing Digital Twin project for Aernnova. Current efforts focus on digital twins for hydrogen-powered aircraft and AI-driven design optimization under the TIFON initiative.

Anders BlomdellView profile

Professor

• Control Systems
• Real-Time Systems
• Embedded Systems
• +7 more

Anders Blomdell is a Professor in the Department of Control Engineering at the Faculty of Engineering, Lund University. His work bridges theoretical control systems with practical applications in real-time, embedded, and cloud-based environments. He is actively involved in research projects focusing on autonomous systems, industrial automation, and networked control. His research interests include Control Systems , Real-Time and Embedded Systems , Networked Control , Industrial Automation , Robotics , and Cloud-Controlled Systems . These areas reflect his focus on scalable, adaptive, and secure control solutions for complex, interconnected systems. The recent publications highlight a strong trend toward event-based control , large-scale optimization , autonomous adaptation , and secure cloud integration . His work often combines control theory with computer science, particularly in distributed and real-time settings, showing a consistent effort to address challenges in latency, scalability, and robustness. Scientific Awards: Advising and Grants: While specific students are not listed, Anders Blomdell leads and participates in major research initiatives such as WASP, ELLIIT, and the Nordic University Hub on Industrial Internet of Things (HI2OT). These projects involve significant funding and collaboration with industry and academia, indicating active mentorship and leadership in training next-generation researchers. Labs and Teams: He is associated with RobotLab LTH and contributes to the development of tools like TrueTime and LabComm , which are widely used in real-time and networked control research. His work supports both academic and industrial innovation in automation and intelligent systems.

• Metamaterials Design
• Aerospace Technology
• Acoustic Materials
• +8 more

Huina Mao is an Assistant Professor at the Department of Engineering Mechanics, KTH Royal Institute of Technology. She works within the School of Aerospace, Maritime and Transport Engineering and focuses on metamaterials design and aerospace technology. Her research includes numerical modeling of acoustic metamaterials, inverse estimation methods, and sustainable structural design. She has contributed to projects like the AERIALIST initiative for noise reduction in turbofan nacelles and the SEAM project involving nanosatellite development. She teaches courses such as Experimental Structure Dynamics and Spacecraft Dynamics. Education: PhD in Engineering Mechanics from KTH (2017), post-doctoral research (2017-2021) focused on acoustic metamaterials and finite element modeling. Key research interests include metamaterials for aerospace applications, structural dynamics, and sustainable design. Her work integrates machine learning, 3D printing, and computational methods. Recent publications (2025-2020) emphasize structural identification frameworks, anisotropic metamaterials, and vibration suppression. She collaborates with industry via the KTH Industrial Transformation Platform. No scientific awards listed, but active in funded EU projects and academic-industry partnerships.