Ph.D. (Metallurgical and Materials Engineering, 2020) – Regular
College/University
Punjab Engineering College (Deemed to be University), Chandigarh.
Dr. Raj Kumar Kaushik is an Assistant Professor in the School of Engineering and Sciences with over 14 years of combined experience in Teaching, Research and Industry. He possesses a strong academic and professional background in Materials Science and Engineering, with specialized expertise in materials development and advanced characterization techniques. His research encompasses the evaluation of chemical composition, structural analysis, thermal and electrochemical behaviour, as well as mechanical and physicochemical properties of advanced materials and alloys.
In addition to his core research, Dr. Kaushik is well-versed in optimization methodologies and is currently focused on integrating Machine Learning (ML) and Artificial Intelligence (AI) into various fields. His interdisciplinary approach aims to develop innovative, data-driven solutions to complex engineering challenges, while also fostering innovation and critical thinking among students.
Education:
Ph.D. (Metallurgical and Materials Engineering, 2020), Punjab Engineering College (Deemed to be University), Chandigarh.
ME(Industrial Materials and Metallurgical Engineering, 2013), PEC University of Technology
B.Tech (Mechanical Engineering, 2008), Haryana Engineering College, Kurukshetra University
Research:
Publication
Rajkumar Kaushik, Uma Batra, J.D Sharma, “Aging induced structural and electrochemical corrosion behaviour of Sn-1.0Ag-0.5Cu and Sn-3.8Ag-0.7Cu solder alloys” Journal of Alloys and Compounds, 745 (2018), 446-454. (SCI, IF 5.8)
Rajkumar Kaushik, Uma Batra, J.D Sharma, “Structural, Thermal and Wetting Characteristics of Novel Low Bi-Low Ag Containing Sn-x. Ag-0.7Cu-1.0Bi (x = 0.5 to 1.5) Alloys for Electronic Application” Metals and Materials International, (2020) (SCIE, IF 3.3)
Rajkumar Kaushik, Uma Batra, J.D Sharma, “Electrochemical Corrosion behaviour of Sn-1.0Ag-0.5Cu and Sn-3.8Ag-0.7Cu lead-free solder alloys during storage and transportation under chloride working condition” Transactions on Electrical and Electronic Materials, (2021) (ESCI, IF 1.6)
Research Interest Metal and alloy development and their Characterization, Machine Learning and AI, Predictive Modelling, Time seraies analysis, Generative AI, LLMs
Case Studies N/A
Books/ Book Chapters N/A
Conferences N/A
Teaching:
Courses/Programmes : Python, Engineering visualization and product realization, Strength of Materials
Teaching interests : Machine learning, Deep Learning, Python, DBMS, NLP
Practice:
Work Experience 10 Years
MDPs/FDPs Attended one week FDP on “Advancements in MATLAB for Engineering & research Applications”, SOES, GD Goebka University, 14-19 July, 2025
Corporate Mentoring Mentor studends during Summer Internship Programme, June-July 2025 at Avishkar Center of Innovation and Incubation, GD Goenka University
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