Specialization

Machine Learning, Software Engineering, Data Science

Email

rakesh.kumar2@thapar.edu

Specialization

Machine Learning, Software Engineering, Data Sciences

Email: rakesh.kumar2@thapar.edu

Contact No: +91-9026422900

Assistant Professor

rakesh.kumar2@thapar.edu

Biography

Rakesh Kumar is working with ECED Department, Thapar Institute of Engineering and Technology, Patiala since 01 Jan 2024. He has submitted his PhD thesis at Department of Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India, in December 2023. His research interests include Machine Learning, Software Engineering, and Data Sciences.

Education

• Ph.D. from CSE Dept., IIT (BHU), India
• M.Tech. in CSE. from KNIT, Sultanpur, India., First class (75.75%)
• B.Tech. in CSE. from Dr. APJ Abdul Kalam Technical University (Formerly UPTU), India First class (70.12%)

Experience: Total Teaching Experience 4+ years

• Worked as a “Intern – Content development” at Collegedunia Web Pvt. Ltd. from April 20, 2020 to August 13, 2020.
• July 2018 – Jun 2023: Teaching Assistant at IIT (BHU), Varanasi.
• Aug 2016 – July 2018: Assistant Professor and Head of International Programme (BS/MS) at Ansal Technical Campus, Lucknow.
• Oct 2015 – Aug 2016: Assistant Professor at College of Engineering Science and Technology, Lucknow.
• Aug 2013 – June 2015: Teaching Assistant at Kamla Nehru Institute of Technology, Sultanpur.
• Aug 2012- Aug 2013: Lecturer at Aryan Institute of Technology, Ghaziabad, UP.
• Jun 2011- Aug 2011: Completed internship on developing website form Agile Softech Pvt. Ltd. Ghaziabad UP

Teaching Interests

• Database Management Systems
• Data Structures and Advanced Data Structures
• Compiler Design

Research Interest

• Software Reliability Prediction
• Machine Learning
• Software Engineering

Publications

    Journals

• Rakesh Kumar and Amrita Chaturvedi.” Software Bug Prediction Using Reward-Based Weighted Majority Voting Ensemble Technique.” IEEE Transactions on Reliability (2023). DOI: 10.1109/TR.2023.3295598, IF:5.9
• Rakesh Kumar, Amrita Chaturvedi, and Lakshmanan Kailasam. "An Unsupervised Software Fault Prediction Approach Using Threshold Derivation." IEEE Transactions on Reliability 71.2 (2022): 911-932, DOI: 10.1109/TR.2022.3151125, IF:5.9
• Rakesh Kumar and D. L. Gupta. "Software bug prediction system using neural network." European Journal of Advances in Engineering and Technology 3.7 (2016): 78-84.

   International Conferences

• Rakesh Kumar and Amrita Chaturvedi: Software Bug Count Prediction Model Based on Software Source Code. In: The 14th International Conference on Computing, Communication and Networking Technologies (ICCCNT 2023) (IEEE), IIT Delhi, India (6-8 July 2023).
• Rakesh Kumar and Amrita Chaturvedi, “A Framework for Software Defect Prediction Using Optimal Hyper-parameters of Deep Neural Network.” The 29th International Conference on Neural Information Processing (ICONIP 2022, Rank: A), IIT Indore, India, CCIS, Springer. (November 2022)
• Rakesh Kumar and Amrita Chaturvedi. "Software Fault Prediction Using Data Mining Techniques on Software Metrics." International Conference on Machine Learning and Big Data Analytics (ICMLBDA2021). Springer, Cham, 2021.

Achievement, Awards and Recognitions

• ICAR-ARS NET 2018 qualified
• CBSE-UGC NET Nov 2017 qualified
• CBSE-UGC NET Jun 2015 qualified
• Qualified GATE 2013

Workshops and Conferences Attended

• A certificate of participation in 5 day short term course on “Exploring the Future: Cutting-edge Trends in Industry” during from 28th June 2023 to 2nd July 2023 organized by Department of Computer Science & Engineering, Dr. B R Ambedkar National Institute of Technology, Jalandhar, Punjab, India.
• A certificate on 11th Annual United Nations Young Changemakers Conclave 2021 themed on 21st Century Workplace Skills, Feb 02, 2021.
• Short-term course on “Data Analytics and Predictive Technologies” during 05th – 10th July, 2021.
• AICTE Sponsored QIP Short Term Course on “Data Analytics and its Application in Industries” during 14-26 December 2020.
• Attended a webinar on “Trends in Publishing” organised by Springer Nature and Inflibnet Centre, held on 16th June, 2020
• Attended a webinar on “Abstracting & Indexing – how to get indexed and how to increase research impact” organized by Springer Nature and DeLCON on September 9, 2020.
• Certificate on “IEEE Xplore: Search vs. Research,” Organized by Central Library IIT (BHU), Aug 05, 2020.
• Workshop on Machine Learning on Cloud Organised by AWS, April 6, 2019
• Workshop on Training Alexa by AWS, April 5, 2019.
• Completed Certification on “AI From the Data Centre to the Edge – An Optimized Path Using Intel Architecture”, Sept 3, 2019
• Completed workshop on Supercomputer Param Shivay established at IIT-BHU organized by CDAC.

Extracurricular Activities

• Worked as head of International program at Ansal Technical Campus, Lucknow, U.P.
• Completed internship on developing website form Agile Softech Pvt. Ltd. Ghaziabad UP.
• Worked as sports activity convener at Ansal Technical Campus, Lucknow.
• Worked as Exam Cell coordinator at Ansal Technical Campus, Lucknow.
• Worked as examiner at AKTU Lucknow and Lucknow university, Lucknow UP.