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DR SUMAN KARMAKAR

ASSISTANT PROFESSOR

About

02-07-2013

ME

186373

A+

HINDUISM

1-2191987450

02-07-2013

Qualifications

Educational Qualifications
  • DOCTOR OF PHILOSOPHY IN ENGINEERING
  • Jadavpur University - 2024
  • ME
  • BESU, Shibpur - 2008
  • BE
  • NIT Durgapur - 2004
  • Higher Secondary Examination
  • Kashiram Das Road DSP Boys High School - 1999
  • Madhyamik Pariksha (Secondary Examination)
  • DSP B-Zone High School - 1997
Teaching and R & D experience
Teaching Research Industry
163 17 36

Promotions

Publications

Journal
Date Title Journal DOI Link
05-07-2023 Transient Behaviour and Impact Induced First‑Ply Failure of Delaminated Composite Conical Shells Journal of Vibration Engineering & Technologies DOI View
26-04-2023 First‑ply failure load prediction of delaminated pre‑twisted rotating composite conical shells Journal of the Brazilian Society of Mechanical Sciences and Engineering DOI View
Conference
Date Title Conference DOI Link
05-01-2024 A Finite Element Approach for Prediction of First Ply Failure Load of Delaminated Composite Conical Rotating Shell Industrial Problems on Machines & Mechanisms (IPRoMM-2022) DOI View
Book Chapters
Date Title Book Title Editor ISBN DOI Link
19-07-2022 Rheological Behaviors of Ultra High Molecular Weight Polyethylene (UHMWPE) Encyclopedia of Materials: Plastics and Polymers M. S. J Hashmi ISBN: 978-0-12-823291-0 DOI View

Participations

Committee Name Start Date End Date
DAC(ME) 11-03-2026 03-06-2026
ANTI RAGGING SQUAD 01-07-2025 03-06-2026
SEMINAR 16-07-2024 30-08-2024

Patents

Title Patent Number Patent Office Date Status Country Application No. Abstract Expiration Date
AI-POWERED PARAMETER OPTIMIZING HYBRID LASER AND ARC WELDING APPARATUS 453307-001 kolkata 23-06-2025 Granted India 453307-001 The AI-powered parameter optimizing Hybrid laser and arc welding apparatus integrates laser and arc welding technologies to enhance precision, efficiency, and adaptability across industrial applications. The apparatus is a compact, intelligent control unit equipped with an advanced machine learning framework that dynamically adjusts critical welding parameters, including power, speed, and material response. By leveraging real-time data acquisition, predictive modeling, and adaptive learning algorithms, the system ensures consistent weld quality, defect minimization, and process stability. The AI-powered optimization enables automatic compensation for variations in material thickness and environmental conditions, significantly improving joint strength, operational efficiency, and overall productivity. With applications spanning automotive manufacturing, aerospace engineering, and heavy industries, this technology represents a significant advancement in welding automation, reducing reliance on manual intervention while enhancing reliability, adaptability, and manufacturing throughput. 22-06-2030
ADVANCED GAS SHIELDING SYSTEM FOR IMPROVE WELD QUALITY AND REDUCED SPATTER 202531014459 Kolkata 14-03-2025 PUBLISHED INDIA 202531014459 13-03-2029

Projects

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