• Assistant Professor at Shri Mata Vaishno Devi University (SMVDU), Katra from 1^st Jan 2015 to till date
• Lecturer (Temporary Faculty) at NIT Srinagar during March 2014-Dec 2014 (Rs 33,000/- per month)
• Lecturer at Jamshedpur Institute of Engineering and Technology, Jamshedpur during July 2006 – Dec 2010.
• Working Experience as a E.T in Amtek India Ltd. (Foundry Division), Bhiwadi, Rajasthan during July 2005-July 2006.
•  
• Ph.D. in Computer Science – University of California, Berkeley (2012)
  Specialization: Artificial Intelligence and Machine Learning
• M.S. in Computer Science – Massachusetts Institute of Technology (2007)
  Specialization: Software Engineering
• B.S. in Computer Engineering – Stanford University (2005)
  Specialization: Networking and Operating Systems

• Associate Professor, Computer Science Department
  Stanford University (2017–Present)

• Assistant Professor, Computer Science Department
  University of Texas at Austin (2012–2017)

• Research Fellow, AI Lab
  Google Research (2010–2012)

• Head of Department, Computer Science – Stanford University (2020–Present)

• Director, AI Research Center – Stanford University (2018–2020)

• Principal Investigator – AI and Machine Learning Research Lab, Stanford University (2018–Present)

• Co-Investigator – NSF-Funded Project on Autonomous Systems, University of Texas at Austin (2015–2017)

• AI for Healthcare Diagnostics (2018–Present)

• Autonomous Vehicle Navigation Systems (2015–2017)

• Natural Language Understanding for Conversational AI (2012–2015)

• Reinforcement Learning in Multi-Agent Systems (2007–2012)

• Paper Published in

   

  1. Science Citation Index (SCI)/Science Citation Index Expanded (SCIE)

   

  1. Vohra, Sinha, Amit Kumar, & Ankush Anand (2024). Development of Industry 4.0 based technology selection index using multi criteria decision making. RAIRO: Operation Research. DOI: https://doi.org/10.1051/ro/2024172. Accepted on 30^th Aug 2024. (SCIE, Impact Factor: 1.8).

   

  2. Charak, V., & Sinha, Amit Kumar. (2022). Design and development of a rapid prototyping system combining traditional fused deposition modeling and reconfigurable pins platform. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 236(5), 2229-2239. (SCIE, Impact Factor: 2.3).

   

  3. Khan, Muhammad Najeeb, & Sinha, Amit Kumar. (2022). Development of a sustainable supply chain network for the cement manufacturing industry using real-coded genetic algorithm. Soft Computing 26, no. 22 (2022): 12235-12255. (SCIE, Impact Factor: 3.1).
  4. Sinha, Amit Kumar, & Ankush Anand. (2021). Development of a supply chain configuration model for new product development: a multi-objective solution approach. Soft Computing 25 (2021): 8371-8389. (SCIE, Impact Factor: 3.1).

   

  5. Sinha, Amit Kumar, & Anand, A. (2019). Optimizing supply chain network for perishable products using improved bacteria foraging algorithm. Applied Soft Computing, 105921. DOI: https://doi.org/10.1016/j.asoc.2019.105921, Online Available, (SCIE, Impact Factor: 7.2).

   

  6. Sinha, Amit Kumar, & Anand, A., (2020) A holistic framework for lot sizing problem in fast-moving perishable products. Scientia Iranica, 27(4), 2021-2039. (SCIE, Impact Factor: 3.0).

   

  7. Sinha, Amit Kumar, & Anand, A. (2018). Lot sizing problem for fast moving perishable product: modeling and solution approach. International Journal of Industrial Engineering, 25(6), pp. 757-778. (SCIE, Impact Factor: 1.2).

   

  8. Sinha, Amit Kumar, & Anand, A., (2018). Development of sustainable supplier selection index for new product development using multi criteria decision making. Journal of Cleaner Production, 197, pp.1587-1596. (SCIE, Impact Factor: 9.7).

   

  9. Sinha, Amit Kumar, & Anand, A., (2017). Towards fuzzy preference relationship based on decision making approach to access the performance of suppliers in environmental conscious manufacturing domain, Computers & Industrial Engineering, 105, pp. 39-34. (SCIE, Impact Factor: 6.7).

   

  10. Sinha, Amit Kumar, Kim, D. Y., & Ceglarek, D. (2013). Correlation analysis of the variation of weld seam and tensile strength in laser welding of galvanized steel. Optics and Lasers in Engineering, 51(10), pp. 1143-1152. (SCIE, Impact Factor: 3.5).

   

  11. Sinha, S. K., Sinha, Amit Kumar, Kour, P., & Barhai, P. K. (2011). Nickel doped PZT ceramics by a spray dried-PVA assisted method. Journal of Ceramic Processing Research, 12(1), pp.93-95. (SCI, Impact Factor: 1.4).

   

  1. SCOPUS Index

   

  12. Jammoria, Nitish Singh, & Sinha, Amit Kumar. (2024). Assessment of Green Supply Chain Management Practices Using Fuzzy Analytical Hierarchy Process. Process Integration and Optimization for Sustainability: 1-14. (SCOPUS, Impact Factor: 2.1).

   

  13. Charak, Vikrant, Sinha, Amit Kumar, & Ankush Anand. (2024). A holistic approach of reconfigurable mould based fused deposition modelling for producing overhanging parts.  Australian Journal of Mechanical Engineering 22(4): 810-824. (SCOPUS).

   

  14. Khan, Muhammad Najeeb, & Sinha, Amit Kumar. (2022). Cloud computing leads towards sustainable supply chain management. ECS Transactions 107(1): 16573-16579. (SCOPUS).

   

  15. Sinha, Amit Kumar, & Ankush Anand. (2021). Development of an alternative for corrosive resistant galvanized steel compatible for laser welding. Materials Today: Proceedings 46: 9561-9563. (SCOPUS).

   

  16. Sinha, Amit Kumar, and Ankush Anand. (2020). A Graph-Theoretic Approach for Sustainable New Product Development (SNPD) in Supply Chain Environment. Advances in Intelligent Systems and Computing, In Soft Computing: Theories and Applications: 671-675. Springer Singapore. (SCOPUS).

   

  17. Vikrant, C., & Sinha, Amit Kumar. (2019). Divergent linkage reconfigurable mould for rapid prototyping. Materials Today: Proceedings. 2903-2908. (SCOPUS).

   

  18. Sharma, A., & Sinha, Amit Kumar. (2018). Rotary electric discharge machining of AISI D2 tool steel: present and future scope. Materials Today: Proceedings, 5(9), pp. 18562-18567. (SCOPUS).

   

  19. Sharma, A., and Sinha, Amit Kumar. (2018). Ultrasonic testing for mechanical engineering domain: present and future perspective. International journal of research in industrial engineering 7, no. 2 (2018): 243-253.

   

  20. M Bairagi, Sinha, Amit Kumar, & A Anand, (2016). Guillotine side trimming shear machine: A case study of plate mill in Bhilai steel plant, Engineering Solid Mechanics, 2016, 4 (4), pp. 226-234. (SCOPUS).

   

  21. Sinha, Amit Kumar, P Swati, & A Anand, Responsive supply chain: Modeling and Simulation, 2016, Management Science Letters 5 (6), pp. 639-650. (SCOPUS).

   

  22. Sinha, Amit Kumar, & Swati, P. (2014). Supply Chain: Next generation issues and concerns. Uncertain Supply Chain Management, 2(1), pp. 1-14. (SCOPUS).

   

  1. Book Chapter (SCOPUS Index)

   

  23. Kumari, Arya, Muhammad Najeeb Khan, & Sinha, Amit Kumar. (2024). Harvesting Intelligence: AI and ML Revolutionizing Agriculture. Data-Driven Farming: Harnessing the Power of AI and Machine Learning in Agriculture, pp. 126-141. Auerbach Publications. ISB: 9781032778723. (SCOPUS).

   

  24. Khan, Muhammad Najeeb, & Sinha, Amit Kumar. (2024). Whale optimization algorithm for scheduling and sequencing. In Handbook of Whale Optimization Algorithm: Variants, Hybrids, Improvements, and Applications, pp. 487-494. Academic Press. Paperback ISBN: 9780323953658 (SCOPUS).

   

  25. Sinha, Amit Kumar, and Ankush Anand. (2024). Development in Additive Manufacturing Through Enablers of IoT in Industry 4.0 Domain. In Advancements in Science and Technology for Healthcare, Agriculture, and Environmental Sustainability, pp. 144-149, CRC Press. ISBN 9781032708324

   

  26. Vohra, Karan, Sinha, Amit Kumar, & Ankush Ananda. (2024). An Optimization Approach for Industry 4.0 Utilizing IoT Enablers. In Advancements in Science and Technology for Healthcare, Agriculture, and Environmental Sustainability, pp. 184-189. CRC Press, 2024. ISBN 9781032708324

   

  27. Khan, Muhammad Najeeb, & Sinha, Amit Kumar, and Ankush Anand. (2023). Use of metaheuristics in industrial development and their future perspectives. In Comprehensive Metaheuristics, pp. 195-202. Academic Press, 2023. ISBN: 978-0-323-91781-0, (SCOPUS).

   

  28. Karan, Vohra, Sinha, Amit Kumar, & Ankush Anand. (2023). Sustainable Additive Manufacturing Process Selection in Industry 4.0 Environment, 11^th International Conference on Advancements in Engineering and technology (ICAET-2023). Bhai Gurudas institute of Engineering & technology, Sangrur, Punjab, 7^th Dec 2023, ISBN No. 978-81-924893-8-4.63-69.

   

  29. Sinha, Amit Kumar, & Ankush Anand. (2023). Development of Sustainable Manufactruing index for factory of future. 11^th International Conference on Advancements in Engineering and technology (ICAET-2023). Bhai Gurudas institute of Engineering & technology, Sangrur, Punjab, 7^th Dec 2023, ISBN No. 978-81-924893-8-4.93-95.

• “Deep Learning for Early Disease Detection: Applications in Healthcare”
  Journal of Medical Imaging and Health Informatics, 2022.

• “Optimization of Autonomous Vehicle Navigation Using Reinforcement Learning”
  IEEE Transactions on Intelligent Transportation Systems, 2017.

• “Advancements in Natural Language Understanding for Conversational AI”
  Journal of Artificial Intelligence Research, 2015.

• “Multi-Agent Systems: A Reinforcement Learning Perspective”
  ACM Transactions on Autonomous and Adaptive Systems, 2012.

• “A Novel Approach to Deep Learning in Medical Image Analysis”
  Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.

• “Reinforcement Learning for Real-Time Autonomous Vehicle Control”
  Proceedings of the IEEE Intelligent Vehicles Symposium (IV), 2016.

• “Deep Learning Applications in Healthcare”
  Chapter in “Artificial Intelligence in Medicine: Theory and Applications”, Springer, 2022.

• “Autonomous Systems: Algorithms and Techniques”
  Chapter in “Advances in Robotics and Autonomous Systems”, Wiley, 2017.

• Ph.D. Students Supervised – Stanford University (2018–Present)

  • Supervised 5 Ph.D. candidates in AI, machine learning, and natural language processing.

• Master’s Thesis Advisor – University of Texas at Austin (2015–2017)

  • Mentored 10 Master’s students in data science and autonomous systems research.

• Ph.D. Students Supervised – Stanford University (2018–Present)

  • Supervised 5 Ph.D. candidates in AI, machine learning, and natural language processing.

• Master’s Thesis Advisor – University of Texas at Austin (2015–2017)

  • Mentored 10 Master’s students in data science and autonomous systems research.

• “System and Method for Real-Time Autonomous Vehicle Navigation”
  Patent No. US 9,876,543 B2, Issued 2017.

• “Deep Learning-Based Medical Imaging Analysis for Disease Detection”
  Patent No. US 10,123,456 B1, Issued 2020.

• “AI in Healthcare: Revolutionizing Diagnostics”

• “Reinforcement Learning for Autonomous Systems”

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