Dr. Subhajit Das

Subhajit Das
Assistant Professor
Phone: 
+91-6374165798
Email: subhajit@civil.nits.ac.in
Date of Joining: 23-11-2023
Academic/Industrial Experience (in years): 4.5 years + 2.5 years

 

 

 

                                                      

 

 

 

 

ACADEMIC / INDUSTRIAL EXPERIENCE (Details)

  • Assistant Professor, Department of Civil Engineering, National Institute of Technology Silchar: November 2023 to Till Date.
  • Scientist, Council of Scientific and Industrial Research – Structural Engineering Research Center (CSIR-SERC), Chennai: June 2019 to November 2023.
  • Senior Design Engineer (Civil), Larsen & Toubro Limited: August, 2012 to December, 2014.

ACADEMIC QUALIFICATIONS (FULL DETAILS )

  • Ph.D. (IIT Kharagpur)
  • M.Tech. (IIT Kharagpur)
  • B.E. (Jadavpur University)

AREA OF INTEREST AND SPECIALIZATION (INCLUDING RESEARCH AREA)

  • Structural Health Monitoring 
  • Finite Element Model Updating
  • Optimization Technique
  • Artificial Intelligence and Machine Learning

SHORT BIOGRAPHICAL SKETCH

Dr. Subhajit Das completed Bachelor of Engineering (B.E.) in Civil Engineering from Jadavpur University, Kolkata, India in 2010 and M.Tech. in Structural Engineering from IIT Kharagpur, India, in 2012. Then he joined a Senior Design Engineering (Civil) in Larsen & Toubro Limited. He also appointed as a scientist about four and half years in the Council of Scientific and Industrial Research – Structural Engineering Research Center (CSIR-SERC), Chennai. He Completed his Doctor of Philosophy (PhD) in September, 2022. Currently, he is an assistant professor in the Department of Civil Engineering, NIT Silchar.


 PATENT(S)

 


External Funded Project

  


BOOK CHAPTER


SUBJECTS TAUGHT (INCLUDING SUBJECTS CURRENTLY TEACHING)


MEMBER

 


AWARDS & RECOGNITIONS

 


ADMINISTRATIVE RESPONSIBILITY

 


MANUSCRIPT REVIEWED FROM


INTERNATIONAL JOURNALS

  • Das, S. and Dhang, N., 2022, January. Damage identification of structures using incomplete mode shape and improved TLBO-PSO with self-controlled multi-stage strategy. In Structures (Vol. 35, pp. 1101-1124). Elsevier. https://doi.org/10.1016/j.istruc.2021.07.089
  • Das, S., Mondal, S. and Guchhait, S., 2022. Particle swarm optimization–based characterization technique of nonproportional viscous damping parameter of a cantilever beam. Journal of Vibration and Control28(17-18), pp.2333-2345. https://doi.org/10.1177/107754632110105
  • Das, S. and Dhang, N., 2022. Damage identification of thin plates using multi-stage PSOGSA and incomplete modal data. Applied Mathematics in Science and Engineering30(1), pp.397-439. https://doi.org/10.1080/27690911.2022.2080206
  • Das, S. and Dhang, N., 2020. Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization. Smart Structures and Systems, An International Journal25(3), pp.345-368.

 INTERNATIONAL CONFERENCES

  • Das, S. and Dhang, N. (2018) Structural Damage Detection of Planar Truss Structures Using Self-Controlled Multi-Stage Particle Swarm Optimization. Engineering Mechanics Institute Conference 2018 (American Society of Civil Engineers), May 29 – June 1, 2018, Massachusetts Institute of Technology, USA. 
  • Das, S., Lakshmi, K., and Srinivas, A. (2023) Drive-By Health Monitoring of a Group of Bridges using an Advanced Machine Learning Technique. 13th Structural Engineering Convention (SEC-2023), 07-09 December 2023, VNIT Nagpur, India.

NATIONAL CONFERENCES

WORKSHOP

 

WORKSHOP / CONFERENCE ORGANIZED

 


PHD SCHOLARS


 M.TECH. SCHOLARS


 

Comments