NAAC A+ Grade NBA NIRF Ranking QS I-GAUGE DIAMOND QS Asia Ranking Swachh Campus Ranking 2019 QS I-GAUGE E-LEAD ARIIA
IQAC | NBA | NIRF | NAAC | NAD/ABC | e-SANAD
*Anti-Ragging Cell Control Rooms / Helplines: 91(44) 22759200 Ext 212 & 91(44) 22759200 Ext 198 / 131 / 133 *Internal Complaints Committee to Prevention, Prohibition and Redressal of Sexual Harassment of Women Employees and students at Workplace (Helpline: 91-044-22759200 Extn:343) *Caste discrimination Cell Control Rooms / Helplines: 91(44) 22759200 Ext 212 & 91(44) 22759200 Ext 198 / 131 / 133 *Students having any grievance on academic matters may contact dean_student@crescent.education

Dr. J. Mahashar Ali

Designation : Associate Professor & Deputy Dean (Academics)
Nature of Employment : Regular
Date of Joining : 10-11-1999
Qualification : B.E, M.S (By Research), PhD (Mechanical)
Phone : +91 44 2854 3110 (Home), +91 9445162696 (Mobile)
Email ID : mahashar@crescent.education

Teaching

Educational Background

Degree Discipline Year of Passing University
Ph.D Mechanical Engineering January 2021 B S Abdur Rahman Crescent Institute of Science and Technology
M.S
(By Research)
Mechanical Engineering 2009 Anna University, Chennai
B. E Production Engineering 1999 PSG College of Technology, Bharathiyar University, Coimbatore.

Work Experience

Designation Institution Duration No. of Years
Lecturer Trainee Crescent Engineering College 10.11.1999 to 28.01.2002 2
CAD Engineer B.S.Abdur Rahman Crescent Engg. College 28.01.2002 to 18.04.2005 3
Lecturer to present Asst. Professor (Senior Grade) B.S.Abdur Rahman Crescent Institute of Science and Technology 18.04.2005 to till date 16

Lecture courses

  • Additive Manufacturing & Digital Manufacturing
  • Basics of Mechanical Engineering
  • Engineering Graphics (Delivered a whole you tube lecture in this subject)
  • Engineering Mechanics (Partial you tube lectures delivered in this subject)
  • Solid Mechanics
  • Thermodynamics
  • Manufacturing Technology
  • Metrology and Mechanical Measurements
  • Automobile Engineering
  • Finite Element Method

Research

Areas of Research Interest

  • Chip Form Monitoring in Metal Cutting (Metal Cutting)
  • Surface Roughness Evaluation of Machined Surfaces using Image Processing (Measurement)

Publications

  • Published 20 you tube video lectures on Engineering Graphics which is having a total of more than 13 lakh views. The lectures also well commented.
    Youtube lecture Link: https://www.youtube.com/user/BSAUNIV/videos?sort=p&flow=grid&view=0
  • Mohamed Fahad S, Mahashar Ali J and Siddhi Jailani H., (2021) “Characterization of surface roughness of ground specimens using image processing” Advances in Design and Thermal Systems, pp. 133-141.
  • Ali, J. Mahashar, Siddhi Jailani and Murugan M, (2020). Optical surface roughness evaluation of ground specimens using speckle line images (No. 2020-28-0514). SAE Technical Paper.
  • Ali, J. Mahashar, H, Siddhi jailani and M. Murugan. (2020) “Surface Roughness Evaluation of Electrical Discharge Machined Surfaces using Wavelet transform of Speckle Line images.” Measurement.
    https://doi.org/10.1016/j.measurement.2019.107029
  • Ali, J., Jailani, H. and Murugan, M., (2019). Surface Roughness Evaluation of Milled Steel Surfaces Using Wavelet Transform of Laser Speckle Line Images. Lasers in Engineering, Vol. 44, pp. 371-384.
  • Ali, M., Jailani, S., Mariappan, M., Anandan, M. and Pavithran, V., (2019). Vision Based Surface Roughness Characterization of Flat Surfaces Machined with EDM (No. 2019-28-0148). SAE Technical Paper.
  • Ali, J. Mahashar, H. Siddhi Jailani, and M. Murugan. (2019) “Surface Roughness Evaluation of Milled Surfaces by Image Processing of Speckle and White-Light Images.” Advances in Manufacturing Processes, pp. 141-151.
  • Suhail, SI Mohamed, Mahashar Ali, H. Siddhi Jailani, and M. Murugan.(2018) “Vision based system for surface roughness characterisation of milled surfaces using speckle line images.” IOP Conference Series: Materials Science and Engineering, vol. 402, no. 1, p. 012054.
  • Ali, J. Mahashar, and M. Murugan. (2017) “Surface roughness characterisation of turned surfaces using image processing.” International Journal of Machining and Machinability of Materials 19, no. 4: 394-406.
  • Mahashar Ali J. and Murugan M., (2009) “Influence of Chip Breaker Location and Angle on Chip Form in Turning Low Carbon Steel”, Int. Journal of Machining and Machinability of Materials, Vol. 5, No. 4, pp. 452-475.
  • Google scholar Citations: 69
  • H- index: 5
  • i10- index: 5

International & National Journal

  • Mahashar Ali J. and Murugan M., ‘Influence of Chip Breaker Location and Angle on Chip Form in Turning Low Carbon Steel’, Int. Journal of Machining and Machinability of Materials, 2009, Vol. 5, No. 4, pp. 452-475.
  • Completed a course in “CNC Milling programming and operations” sponsored by B.S.A Crescent Engineering College at NSIC, Chennai from 30.11.2009 to 11.12.2009.
  • Attended the “Educators Day 2009” the annual technical forum for faculty and research scholars conducted by National Instruments.
  • Attended the national conference “APDMM 2008”, organized by Mechanical Engg. Department of BSA Crescent Eng. College during Jan 7- 8, 2008.
  • Attended the seminar on “Heat Load Calculations” organized by Mechanical Engg. Department, Anna University, Chennai in association with ISHRAE Chennai Chapter (August 2008).

Patent Published

  • J. Mahashar Ali, H. Siddhi Jailani and M. Murugan “System and method for analysis of roughness quality of flat specimens using image processing”. Application no. 201941019465 dated 16.05.2019 and published on 20.11.2020.

Extension

Additional Responsibilities

  • CAD Engineer (Having 5 years of experience in all CAD software)
  • Incharge – Metrology Laboratory
  • Various administrative positions

Project Proposal

  • Receive a grant-in-aid of sum Rs 867666/- for conduct of project under Research Promotion Scheme (RPS) of AICTE during the financial year 2020-21 as a co-principle investigator on the project titled “Non-contact Surface roughness measurement of Machined Surfaces using the Wavelet Metrics of laser Speckle images”.