Associate Professor, Mechanical Engineering (Robotics) Program
Office: R523
Madan Kumar is an Associate Professor of Mechanical Engineering (Robotics) at Guangdong Technion-Israel Institute of Technology since December 2022. He holds a B. Sc. Eng. in Mechanical Engineering (with distinction) from Magadh University (India), a Master of Science (M.S.) by research in Mechanical Engineering (Thermal) from the Indian Institute of Technology Madras (IIT Madras-India), and a Ph.D. in applied science and engineering from Sophia University (Japan). Madan’s main research interest is Engines and Powertrain performance development with transient control and utilizing conventional and alternative fuels (hydrogen, ammonia, biofuel, etc.). Throughout his career, he has collaborated and worked with major leading automotive companies/organizations such as Toyota, SIP, AICE, NEDO-Japan, and FVV. He has been appointed as “Student Formula Car Project Academic Coordinator & Supervisor”. Currently, Madan’s research team includes a Research Assistant (RA) and two undergraduate final-year students.
Orcid:https://orcid.org/0000-0002-5582-1450
Experience:
2022 (Dec.)-present: Associate Professor, Guangdong Technion – Israel Institute of Technology, China.
2020-2022: Assistant Professor, Faculty of Engineering, Chiba University, Japan.
2018-2020: Research Fellow, Faculty of Engineering, Chiba University, Japan.
2017-2018: Postdoctoral Researcher, Hydrogen career department, National Institute of Advanced Industrial Science and Technology (AIST), Japan.
2016 (Oct.)-2017: Postdoctoral Researcher, Applied Science and Engineering, Sophia University, Japan
Research Grants:
· 2021-2022: “Innovative RDE engine-out emissions reduction”, Automotive Internal Combustion Engine Technology Research Association (AICE-Japan)- Forschungsvereinigung Verbrennungskraftmaschinen e.V. (FVV-Germany),
Role: Co-Principal Investigator.
· 2021-2022: “AVL engine friction measurement and improvement”, NEDO-GI, Japan,
Role: Co-Principal Investigator.
· 2018-2021: “Post-oxidation (HC, CO, and PM) in the exhaust manifold of SI engines”, Automotive Internal Combustion Engine Technology Research Association (AICE-Japan)- Forschungsvereinigung Verbrennungskraftmaschinen e.V. (FVV-Germany),
Role: Co-Principal Investigator.
Membership:
JSAE- Member, Society of automotive engineering of Japan
Kumar M, Moriyoshi Y, Kuboyama T. Post-oxidation phenomena enhancement with scavenging and secondary air injection in exhaust manifold of a turbocharged GDI engine. International Journal of Engine Research. 2023 Jun;24(6):2388-409.
Kumar M, Moeeni S, Kuboyama T, Moriyoshi Y. Performance improvement of turbocharged SI engine by post-oxidation enhancement in exhaust gas in-homogeneity. International Journal of Engine Research. 2021 Sep;22(9):2931-44.
Kumar M, Moeeni S, Kuboyama T, Moriyoshi Y. Investigation of post-oxidation mechanism on emissions and turbo performance in a DISI engine. Energy. 2021 Feb 15;217:119465.
Kumar M, Moeeni S, Kuboyama T, Moriyoshi Y, Aizawa T, Bargende M. Analysis of post-oxidation phenomena in a turbocharged DISI engine focused on gas and PM emissions and gas temperature. International Journal of Automotive Engineering. 2021;12(4):116-24.
Kumar M, Moeeni S, Kuboyama T, Moriyoshi Y, Przewlocki J, Tromellini R, Grill M, Chiodi M, Bargende M. Investigation of H2 formation characterization and its contribution to post-oxidation phenomenon in a turbocharged DISI engine. SAE technical paper; 2020 Sep 15.
Kumar M, Kuboyama T, Hasegawa N, Moriyoshi Y. Scavenging phenomena based post-oxidation in exhaust manifold of a turbocharged spark ignition engine. SAE technical paper; 2019 Dec 19.
Dimitriou P, Kumar M, Tsujimura T, Suzuki Y. Combustion and emission characteristics of a hydrogen-diesel dual-fuel engine. International journal of hydrogen energy. 2018 Jul 19;43(29):13605-17.
Kumar M, Tsujimura T, Suzuki Y. NOx model development and validation with diesel and hydrogen/diesel dual-fuel system on diesel engine. Energy. 2018 Feb 15;145:496-506.
Kumar M, Shen T. In-cylinder pressure-based air-fuel ratio control for lean burn operation mode of SI engines. Energy. 2017 Feb 1;120:106-16.
Wu Y, Kumar M, Shen T. A stochastic logical system approach to model and optimal control of cyclic variation of residual gas fraction in combustion engines. Applied Thermal Engineering. 2016 Jan 25;93:251-9.
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