Prof. Sanjeev Goyal

Department of Mechanical Engineering

J.C. Bose University of Science and Technology, YMCA, Faridabad

sanjeev@jcboseust.ac.in | ersanjeevgoyal@gmail.com

Education

Post-Doctoral Research Fellow
Swanson School of Engineering, University of Pittsburgh, USA
Focus: Decision Sciences
Ph.D. in Mechanical Engineering
Maharishi Dayanand University, Rohtak
M.Tech. in Manufacturing & Automation
Sant Longowal Institute of Engineering and Technology

Research Supervision

  • Successfully guided two Ph.D. scholars to completion
  • Currently supervising two Ph.D. students

Current Positions

  • Professor, Department of Mechanical Engineering
  • Principal, Community College of Skill Development (CCSD)
  • In-Charge, IPR, Innovation, and Start-up Division
  • Member, Research Advisory Council
  • Member, University Court

Previous Roles

  • Director, Alumni & Corporate Affairs (2018-2022)
  • President, IIC (2022-2023)
  • Vice-President, IIC (2019-2020)
  • Member, Central Purchase Committee

Research Interests

  • Advanced Manufacturing Systems
  • Decision Sciences
  • AI and Robotics in Manufacturing
  • Manufacturing System Effectiveness
  • Composite Materials Processing

Patents

System for Controlling a Laser Processing Operation
Patent Number: 556312
Agriculture Waste Briquetting Machine
Design No.: 401688-001
Solar Thermochemical Reactor
Design No.: 427219-001

Major Research Grants

UGC Skill Development Initiative ₹2 Crores
Anti-Drone Lab (Under Process) ₹5 Crores
DST Haryana Research Project ₹14 Lakhs
UGC Post Doctorate Raman Fellowship ₹25 Lakhs
Siemens Centre of Excellence (Under Process) ₹2 Crores

Key Publications

1. Ojha, V. K., Goyal, S., & Chand, M. (2024). Data-driven decision making in advanced manufacturing Systems. Journal of Decision Systems
2. Singh, G., Sharma, N., Goyal, S., & Sharma, R. C. (2021). Comparative measurements of AA6082 composites. Metals and Materials International
3. Singh, G., & Goyal, S. (2018). Dry sliding wear behaviour of AA6082-T6/SiC/B4C hybrid composites. Proceedings IMechE
4. Goyal, S., & Grover, S. (2013). Manufacturing system's effectiveness measurement. Int. J. System Assurance Engineering
5. Singh, G., & Goyal, S. (2018). Microstructure and mechanical behavior of AA6082-T6/SiC/B4C composites. Particulate Science and Technology
6. Singh, G., Goyal, S., et al. (2018). Parametric study of dry sliding wear behaviour. J. Mechanical Science and Technology
7. Goyal, S., & Grover, S. (2012). Advanced manufacturing technology effectiveness. Frontiers of Mechanical Engineering
8. Goyal, S., & Grover, S. (2012). Effectiveness measurement of manufacturing systems. Int. J. Industrial Engineering Computations
9. Goyal, S., & Grover, S. (2012). Applying fuzzy grey relational analysis. Grey Systems: Theory and Application
10. Singh, G., & Goyal, S. (2019). Investigation of mechanical properties of hybrid composites. Materials Today: Proceedings

Major Initiatives

  • Drafted and implemented university Start-up Policy
  • Drafted Patent Policy for research commercialization
  • Anti-Drone Technology Lab (Under Process)
  • Established state-of-the-art Robotics Lab
  • Siemens Centre of Excellence (Under Process)
  • Developed AI-based disaster response models with American Red Cross, Virginia, USA
  • Expanded CCSD enrollment from 35 to 700 students