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• Unmanned Aerial Vehicle Design
• Flight Control Technology
• Integrated Navigation Systems
• +7 more

HAN Song is a Research Professor at the School of Innovation and Entrepreneurship, Southern University of Science and Technology (SUSTech), where he has been working since 2017. He also serves as deputy director of the Aerospace Technology Innovation Center and deputy director of the Unmanned Aerial Vehicle Design and Navigation Control Technology Engineering Research Center (Shenzhen Engineering Research Center). Prior to joining SUSTech, he held various positions at China Aerospace Science and Technology Corporation (CASC), including Professor, Associate Professor, and engineering roles from 2005-2017. Professor Han Song's research focuses on advanced aircraft design and autonomous navigation and control technology. His work spans UAV system development, aircraft aerodynamic layout design, precision guidance systems, and multi-sensor information fusion. He has achieved breakthroughs in high-lift-to-drag aerodynamic layouts, modular composite structures, integrated avionics, and fault-tolerant flight control systems. His research has direct applications in military and civilian unmanned systems with emphasis on practical implementation and technological innovation. 2010 Aerospace Contribution Award of China Aerospace Science and Technology Corporation 2011 Eleventh Five-Year Plan Science and Technology Innovation Award 2016 Twelfth Five-Year Plan Science and Technology Innovation Award First prize for National Defense Science and Technology Progress 5 invention patents in flight control and navigation guidance Professor Han has extensive experience leading major aerospace projects, having served as chief designer for multiple UAV systems including short-range, high-altitude, and medium-range general-purpose platforms. His designs participated in significant national events - a short-range UAV in the 70th anniversary of the Anti-Fascist War parade (2015) and a high-altitude UAV in the 70th National Day parade (2019). He has written nearly 100 technical reports and secured funding for numerous research projects through China Aerospace Science and Technology Corporation. At SUSTech, Professor Han leads research activities at the Aerospace Technology Innovation Center and the Unmanned Aerial Vehicle Engineering Research Center. His team has made notable progress in aerial remote sensing image feature extraction using lightweight convolutional neural networks and underwater bionic flapping wing propulsion technology. He teaches Product Innovation and Design Development Methods and Aviation Vehicle Innovation Design, with his 2020 research group producing four Outstanding Master's Graduates of SUSTech.

• Mechanical Engineering
• Tribology
• Multimodal Sensing
• +5 more

Dr. Min Yu is an Imperial College Research Fellow (ICRF) in the Department of Mechanical Engineering at Imperial College London . He leads an independent research program focused on in-situ multimodal sensing of mechanical interfaces , integrating advanced materials, intelligent control, multiphysics modeling, and data-driven technologies. His work bridges tribology, robotics, and sensing with applications in lubrication systems and robotic haptic interfaces. Education: PhD in Mechanical Engineering, Imperial College London (2014–2018) MSc in Engineering, Zhejiang University (2011–2014) BEng in Engineering, Xi’an Jiaotong University (2007–2011) Research Interests: Dr. Yu’s core research areas include tribology , ultrasonic sensing , robotic haptics , lubrication systems , and data-driven control . He develops novel sensing technologies for real-time monitoring of mechanical interfaces, with applications in engines, bearings, transmissions, and robotic systems. His work emphasizes closed-loop intelligent lubrication and bio-inspired robotic sensing . Publications & Trends: Dr. Yu has authored over 60 peer-reviewed papers and holds 6 patents . His recent work (2024–2025) focuses on ultrasonic-based oil film measurement, triboelectric sensors for robotics, and advanced control systems for automotive suspensions. These publications reflect a strong interdisciplinary approach combining mechanical engineering , AI-driven control , and sensor innovation . Awards & Grants: Imperial College Research Fellowship (ICRF 2022–2026) Royal Society International Exchanges – Cost Share Scheme State Key Laboratory of Fluid Power and Mechatronic Systems Open Foundation Taiho Kogyo Tribology Research Foundation Grant Dame Julia Higgins Engineering Postdoc Collaborative Research Fund (2019) Peter Jost Travel Fund (2022) Collaborations & Labs: Dr. Yu collaborates with multiple groups at Imperial College London including the Tribology Group , Non-Destructive Evaluation (NDE) Group , Control and Power Group , Optical & Semiconductor Devices Group , and Geotechnics Group . He also partners with international institutions such as Georgia Tech , Xi’an Jiaotong University , Zhejiang University , HUST , and Tsinghua University , as well as industry leaders like Shell , ExxonMobil , Toyota , and Jaguar Land Rover .

• Machine Systems Engineering
• Hydraulic Systems Innovation
• Fluid Power Systems
• +3 more

Lizhi Shang is an Assistant Professor in the Department of Agricultural & Biological Engineering at Purdue University. His research focuses on Machine Systems Engineering, with an emphasis on hydraulic system innovation, AI-aided design of fluid power components, and advanced computational tribological analysis. He is affiliated with the Maha Fluid Power Research Center, a leading facility for fluid power research. His work integrates experimental and numerical methods to address challenges in hydraulic systems, such as thermal management, cavitation phenomena, and tribological interface performance. He collaborates with interdisciplinary teams to develop compact and efficient fluid power solutions for off-road machinery and aviation systems. Key research themes include axial piston machine optimization, electrohydraulic integration, and sustainable hydraulic technologies. Dr. Shang’s publications span topics like tribology test chamber design, thermal modeling of piston-cylinder interfaces, and cavitation scalability analysis. His research aims to enhance energy efficiency and reliability in fluid power systems across diverse applications.

• Mechanical Engineering
• Aerospace Engineering
• Aircraft Engine Design
• +5 more

Ryszard Chachurski is a Professor at the Military University of Technology, specializing in mechanical and aerospace engineering with a focus on aircraft engine design, turbine dynamics, and icing environment analysis. He has contributed to over 17 publications, 20 promoted theses, and 2 projects, with a h-index of 1 in both Scopus and Web of Science. His research spans miniature jet engines, UAV propulsion systems, and engine performance under extreme conditions. Key areas of expertise include ground testing of turbine engines, structural analysis of ducted fans, and in-flight icing susceptibility of induction systems. He has explored environmental threats in aviation, atmospheric effects on engine performance, and anti-icing systems for aircraft safety. His work integrates numerical modeling (e.g., GasTurb simulations) with experimental validation. Chachurski’s publications emphasize practical applications like mobile engine test stations for aerial targets and modal analysis for engine diagnostics. He has also addressed challenges in unmanned aerial vehicle (UAV) propulsion systems and piston engine icing problems. His research often bridges theoretical models with real-world testing, such as analyzing wing-in-ground-effect craft water landings and turbine blade strength under dynamic loads.

Sage KokjohnView profile

Professor

• High Efficiency Energy Conversion
• Thermodynamics and Fluid Mechanics
• Turbulent Combustion Modelling
• +3 more

Professor Sage Kokjohn is a faculty member in the Department of Mechanical Engineering at the University of Wisconsin-Madison. He specializes in high-efficiency energy conversion systems, focusing on turbulent combustion modeling and advanced engine technologies. His research includes developing pathways for robust, high-efficiency energy systems through experimental and computational methods. Education: PhD, Mechanical Engineering, University of Wisconsin-Madison (2012) MS, Mechanical Engineering, University of Wisconsin-Madison (2008) BS, Mechanical Engineering, Iowa State University (2006) Research Interests: High-efficiency energy conversion Thermodynamics and fluid mechanics Turbulent combustion modeling Awards: 2023 ASME ICE Division Best Paper Award 2018 SAE Max Bentele Award 2018 SAE Ralph R. Teetor Educational Award Grants and Funding: Secured ~$14M in external funding from the Department of Energy (DOE), Department of Defense (DOD), Caterpillar, and Ford. Current projects focus on hybrid electric systems, low-emission combustion strategies, and sustainable aviation fuels. Labs/Teams: Active in combustion and energy systems research, with collaborations across academia and industry.

• Number Theory
• Algebraic Geometry
• p-adic Hodge Theory
• +3 more

Dr. Yu Min is a Research Fellow in the Department of Mathematics at Imperial College London, affiliated with the Faculty of Natural Sciences. His research focuses on p-adic Hodge theory, categorical Langlands correspondence, and related areas of algebraic geometry and number theory. He collaborates closely with Prof. Toby Gee and has held previous positions at the Morningside Center of Mathematics (Beijing) and Sorbonne Université (PhD, advised by Prof. Matthew Morrow). His research interests include integral p-adic Hodge theory, p-adic/non-abelian Hodge theory, and categorical Langlands correspondence. He has authored or co-authored several peer-reviewed publications in top-tier mathematics journals, including Advances in Mathematics and Journal of the European Mathematical Society . No scientific awards are explicitly mentioned in the provided texts. His work integrates advanced cohomological techniques and prismatic crystals, contributing to foundational aspects of arithmetic geometry.

• Internal Combustion Engines
• Fluid Machines
• Energy Systems
• +6 more

Enrico MATTARELLI is a Full Professor at the University of Modena and Reggio Emilia, Department of Engineering "Enzo Ferrari". His academic career focuses on fluid machines, energy systems, and internal combustion engines, with particular expertise in alternative fuels and sustainable propulsion technologies. Professor MATTARELLI's research interests span across hydrogen engines, dual fuel combustion systems, sustainable fuels for heavy-duty applications, and innovative engine designs. His work demonstrates a consistent focus on reducing emissions while maintaining or improving thermal efficiency. He has made significant contributions to the understanding of hydrogen combustion in two-stroke engines, opposed piston configurations, and dual fuel systems combining natural gas/hydrogen with diesel ignition. His recent publications reveal a strong trend toward decarbonization of transportation through innovative engine technologies. The research shows particular emphasis on hydrogen applications across various engine types (two-stroke, four-stroke, opposed piston) and sectors (automotive, aviation, power generation). A notable pattern is the systematic approach to optimizing combustion systems for alternative fuels while addressing practical engineering challenges like emissions control and performance maintenance. While no specific awards are listed in the provided material, his extensive publication record in high-impact journals and conference proceedings demonstrates significant scholarly contribution to the field of mechanical engineering and sustainable propulsion technologies. Professor MATTARELLI teaches several advanced courses including Machines and Energy Systems, Powerunit/Internal Combustion Engines, and Engine Components Design for both Mechanical Engineering and Vehicle Engineering programs. His teaching materials indicate a strong emphasis on practical engineering applications combined with theoretical foundations in thermodynamics and fluid dynamics.