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• PhD in CSE from VNIT Nagpur (2022), Specialization: Quantitative Finance
• M. Tech. in CSE from RTMNU Nagpur (2013)
• B. E. in Computer Engineering form RTMNU Nagpur (2008)

• October 2022 to till date - Assistant Professor, IIIT Nagpur
• August 2022 to October 2022 - Assistant Professor, Symbiosis Institute of Technology, Nagpur
• September 2021 to July 2022 - Assistant Professor, Bajaj Institute of Technology, Wardha
• August 2013 to December 2017 - Assistant Professor, RGCER, Nagpur

• First Semester Section-C, CSE, Computer Programming(2022-2023)
• First Semester CSE, DSA, Computer Programming(2022-2023)
• First Semester CSE, HCIG, Introduction to HCI (2022-2023)

Area of Research:

• Machine Learning
• Quantitative Finance
• Theoretical Computer Science

Reviewer for Journals:

• Expert Systems with Applications- SCIE
• IEEE Access- SCIE

Journals

• J.B. Chakole, MS Kolhe, GD Mahapurush, A Yadav, MP Kurhekar, “A Q-learning agent for automated trading in equity stock markets” Expert Systems with Applications 163, 113761, 2021. Indexed in SCIE. IF 8.66
• J. Chakole, M Kurhekar, “Trend following deep Q‐Learning strategy for stock trading“, Expert Systems 37 (4), e12514, 2020. Indexed in SCIE. IF 2.81

Conferences

• J. Chakole, MP Kurhekar, “Convolutional Neural Network-based a Novel Deep Trend Following Strategy for Stock Market Trading“, CIKM Workshops, 2021. Indexed in SCOPUS.
• Jagdish B. Chakole, S.M. Jambhulkar, Praful R. Pardhi,“A Secure Approach for Web Based Internet Voting System using Multiple Encryption” in the IEEE International Conference on Electronic Systems, Signal ocessing and Computing Technologies, Nagpur, India,2014. Publisher IEEE, DOI: https://doi.org/10.1109/ICESC.2014.70. Indexed in SCOPUS.

Faculty Advisor first year, CSE, AIML