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Mr. Syed Shaul Hameed
Designation : Assistant Professor
Nature of Employment : Regular
Qualification : B.E,.M.Tech.,(PhD)
Phone : +91 44 2275 9200, 77 (Office)
Email ID : syedshaulhameed@byt.digital/wordpress/crescent

Teaching

Educational Background

Programme Discipline Year of Passing University
M.E Engineering Design 2013 Amrita Vishwa Vidyapeetham University, Coimbatore
B. E Mechanical Engineering 2011 Anna University, Chennai

Work Experience

Designation Institution Duration No. of Years
Assistant Professor B.S.Abdur Rahman Crescent Institute of Science and Technology July 2013 to till date Till date

Lecture courses

  • Metrology and Mechanical Measurements
  • Design of Transmission Systems
  • Automobile Engineering
  • Mechanical Vibrations
  • Geometric Dimensioning and Tolerancing
  • NDT

Research

Area of Research Interest

  • Experimental Modal Analysis
  • Machine Learning and Deep Learning
  • Rotating Machine Condition Monitoring

Publications

International Journal / National Journal / International Conferences / National Conferences / Seminars / Workshops

  • Syed, S. H., & Rameshkumar, K. (2017). Construction of a Low Cost Cutting Tool Dynamometer and Static Calibration of Measuring Cutting Force in a CNC Milling Machine (No. 2017-28-1931). SAE Technical Paper.
  • Hameed, S. S.,Vaithiyanathan, M., & Kesavan, M. (2019). Fault Detection in Single Stage Helical Planetary Gearbox Using Artificial Neural Networks (ANN) and Decision Tree with Histogram Features (No. 2019-28-0151). SAE Technical Paper.
  • Moinuddin, S. Q., Hameed, S. S., Dewangan, A. K., Kumar, K. R., & Kumari, A. S. (2021). A study on weld defects classification in gas metal arc welding process using machine learning techniques. Materials Today: Proceedings, 43, 623-628.
  • Hameed, S. S., Muralidharan, V., & Ane, B. K. (2021). Comparative analysis of fuzzy classifier and ANN with histogram features for defect detection and classification in planetary gearbox. Applied Soft Computing, 107306.
  • Hameed, S. S., & Muralidharan, V. (2021). Fault Detection in Single-Stage Helical Planetary Gearbox Using Support Vector Machine (SVM) and Artificial Neural Network (ANN) with Statistical Features. Advances in Design and Thermal Systems: Select Proceedings of ETDMMT 2020, 119.
  • Syed, Shaul Hameed, and V. Muralidharan. (2022) “Feature extraction using Discrete Wavelet Transform for fault classification of planetary gearbox–A comparative study.” Applied Acoustics, 188: 108572
  • D Pradeep Kumar, V Muralidharan, Syed Shaul Hameed, (2022) “Multi-Point Tool Condition Monitoring System – A Comparative Study” FME Transactions, 50:192-203.

Reviewer for the refreed International Journal

  • ISA Transactions, Elsevier
  • SAE Technical Papers, USA

Major FDP / Workshop / Seminar Attended & Organised

FDP

  • Attended five day AICTE sponsored FDP on “Recent Advancements in Industrial Instrumentations and Signal Processing Techniques”. (21st August – 25th August), 2017 at IIITDMJ.
  • Attended five day AICTE sponsored STTP on “Artificial Intelligence and Deep Learning Techniques”. (30th November – 5th December), 2020 at BSACIST.
  • Completed an online course on “Introduction to Matlab Programming” conducted by Vanderbilt University, for 9 weeks (5th May 2020)
  • Completed a certified course on “Matlab OnRamp” offered by Mathworks. (June 2020)
  • Successfully completed a course on – “Foundations of Deep Learning”, organized by CSIR-CEERI, Chennai under Skill Development Program Initiative (March 2021)
  • Completed five days online FDP organized by AICTE on “Inculcating Universal Human Values in Technical Education”, 13th-17th September 2021

Workshops/ Guest Lectures

  • Attended a webinar on “Artificial Intelligence, Automated Driving and Model-Based Design Using MATLAB and Simulink” (September 2019)
  • Delivered a virtual International Guest lecture on “Introduction to data science with Matlab”. (May 2020)
  • Participate online webinar on “Industry 4.0 Technology Pillars” conducted by CMTI, Bangalore. (September 2020)
  • Participate online webinar on “Condition Based Monitoring for CNC Machine Tools” conducted by CMTI, Bangalore. (September 2020)
  • Attended a webinar on “Virtual Labs for Mechanical Engineering” conducted by Mathworks. (August 2020)

Awards

  • Received best paper award for “Fault Detection in Single Stage Helical Planetary Gearbox Using Artificial Neural Networks (ANN) and Decision Tree with Histogram Features”, 2019.

Sponsored Projects

  • Received a fund amount of 10,000/- from Tamil Nadu State Council of Science and Technology (TNSCST) for the project title “Fault diagnosis on single stage helical planetary gearbox using machine learning algorithms” under student project scheme.

Extension

Additional Responsibilities

  • Faculty In-charge – Dynamics Lab
  • Class Advisor for B.Tech, Mechanical 2014-2018 Batch
  • Faculty Advisor for B.Tech Students
  • Various administrative positions