ARUN KIRAN PAL
Jadavpur University Faculty of Engineering and Technology, Jadavpur University - Second Campus
0000-0003-3548-1302
About
Name: ARUN KIRAN PAL
Designation: PROFESSOR
Institution: DEPARTMENT OF PRINTING ENGINEERING, JADAVPUR UNIVERSITY, KOLKATA, India.
Teaching Experience: More than 30 years in the field Printing Engineering, Mechanical Engineering etc.
Research Experience: More than 30 years in the field of Printing Material Science, Coating Technology, Digital Imaging, Fluid Mechanics, TPM in printing, Packaging Technology etc.
Publication: Approx more than 55 nos research papers published in international journals (Scopus indexed) and conferences .
PhD Thesis Guidance: Supervised 3 numbers of PhD and other 2 students are pursuing
M.Tech Thesis Guidance: Supervised 6 nos of MTech thesis
Other Assignments: a) Served as expert member of different interview boards of PSC (West Bengal), UPSC etc
b) Served as expert member of different commites of Govt. Of West Bengal, Govt of India, AICTE , UGC etc.
c) Served as external examiner of different universities, institutions etc
Employment
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Jadavpur University Faculty of Engineering and Technology Professor
Education
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Jadavpur University - Second Campus BME, MME, Ph.D1980 - 1993
Projects & Funding
Projects & funding information is unavailable.
Publications (58)
- A Novel Approach for Assessment of Risk Matrix of Offset Printing Machine Save
- Machine learning based failure prediction of printing machines using internal productivity data Save
- GA-FLOPS: a novel multi-objective genetic algorithm framework for optimizing layouts in print production facility Save
- Quantitative Assessment of ram driven risk matrix of offset printing machine Save
- Four factor factorial design on residual curvatures of metal round bars in cross-roll straightening process Save
- A NOVEL APPROACH FOR ASSESSMENT OF RISK MATRIX OF OFFSET PRINTING MACHINE Save
- Paper Currency: A systematic review of design, security features, and counterfeit detection Save
- Implementation of annova and six-sigma for productivity improvement in printing machines Save
- A new approach for effective productivity management of newspaper printing press Save
- Prediction of offset ink film thickness using machine learning Save