Main Content

Debarshi Sen

Debarshi Sen, Assistant Professor

Structural Engineering

My research interests are Structural Dynamic systems, infrastructure monitoring and resilience, applications of statistical and machine learning in monitoring, regional fragility assessment, seismic response control.

Classes

  • CE 442 Structural Steel Design
  • CE 340 Structures
  • CE 540 Structural Dynamics
SIU Debarshi Sen Engineering B, Room 36
618-453-7807
debarshi.sen@siu.edu

Education

  • Ph.D., Civil and Environmental Engineering, Rice University, 2018
  • M. Tech, Civil Engineering, IIT Kharagpur, India, 2013
  • B. Tech, Civil Engineering, IIT Kharagpur, India, 2011

Honors and Awards

  • Outstanding dissertation award 2011(UNLV)
  • Outstanding dissertation award 2011 (UNLV-College of Engineering)
  • Best poster award (2nd Place, UNLV-College of Engineering)
  • GPSA merit award 2010-2011
  • UNLV access grant 2010-2011
  • UNLV Travel grant (GPSA)
  • Member Tau Beta Pi (Engineering Honor Society)
  • Awarded college colors for outstanding student leadership (undergrad)

Professional Affiliations

  • Member, American Geophysical Union
  • Member, American Society of Civil Engineers

Related Experiences

Research

  • Research Affiliate, Massachusetts Institute of Technology, 2020-present
  • Postdoctoral Research Associate, Lehigh University, 2020-2022
  • Postdoctoral Associate, Massachusetts Institute of Technology, 2018-2020

Professional

  • Associate Engineer, Clark County Public Works, Las Vegas, NV, March 2014-August 2015
  • Engineer II, Atkins Inc., Henderson, NV, May 2007-August 2010

Publications

Journals

  1. Eshkevari SS., Eshkevari, SS., Sen, D. and Pakzad, SN., “Active Structural Control Framework using Policy-Gradient Reinforcement Learning”, Engineering Structures, in revision, 2022.

  2. Pasala, DTR., Sarlis, AA., Nagarajaiah, S., Reinhorn, AM., Constantinou, MC., Taylor, DP., Sen, D., and Herkal, S., “Negative Stiffness Device and Negative Stiffness Brace for Seismic Protection of MDOF Yielding Fixed Base Structures: Experimental and Analytical Study”, Earthquake Spectra, in revision, 2022.

  3. Sen, D., Long, J., Sun, H., Campman, X., and Buyukozturk, O., “Multi-component deconvolution interferometry for data-driven prediction of seismic structural response", Engineering Structures, 2021, 241, 112405.

  4. Nagarajaiah, S. and Sen, D., “Apparent weakening by adaptive passive stiffness shaping along the height of multistory structures using negative stiffness devices and dampers for seismic protection", Engineering Structures, 2020, 220, 110754.

  5. Sen, D., Erazo, K., Zhang, W. and Nagarajaiah, S. and Sun, L., “On the effectiveness of principal component analysis for decoupling structural damage and environmental effects in bridge structures", Journal of Sound and Vibration, 2019, 457, 280-298.

  6. Sen, D., Aghazadeh, A., Mousavi, A., Nagarajaiah, S., Baraniuk, R. and Anand, D., “Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes", Mechanical Systems and Signal Processing, 2019, 131, 524-537.

  7. Erazo, K., Sen, D., Nagarajaiah, S. and Sun, L., “Vibration-based structural health monitoring under changing environmental conditions using Kalman filtering", Mechanical Systems and Signal Processing, 2019, 117, 1-15.

  8. Sen, D., Aghazadeh, A., Mousavi, A., Nagarajaiah, S. and Baraniuk, R., “Sparsity-based approaches for damage detection in plates", Mechanical Systems and Signal Processing, 2019, 117, 333-346.

  9. Sen, D., Nagarajaiah, S. and Gopalakrishnan, S., “Harnessing sparsity in Lamb wave-based damage detection for beams", Structural Monitoring and Maintenance, 2017, 4(4), 381-396.

  10. Sen, D., Erazo, K. and Nagarajaiah, S., “Bayesian estimation of acoustic emissions source in plate structures using particle-based stochastic filtering", Structural Control and Health Monitoring, 2017, 24(11), e2005.

  11. Sen, D. and Bhattacharya, B., “On the Pareto optimality of variance reduction simulation techniques in structural reliability", Structural Safety, 2015, 53, 57-74.

  12. Sen, D. and Chatterjee, A., “Subset Simulation with Markov Chain Monte Carlo: A review", Journal of Structural Engineering, SERC Chennai, 2013, 40(2), 142-149.

Book Chapter

  1. Sen, D. and Nagarajaiah, S., “Data-driven approach to Structural Health Monitoring using statistical learning algorithms", Mechatronics for Cultural Heritage and Civil Engineering, Ottaviano, E., Pelliccio, A. and Gattulli, V. (Eds.), 2018, Springer, DOI:10.1007/978-3-319-68646-2.

Selected Conference Publications

  1. Eshkevari, S.S., Eshkevari, S.S., Sen, D. and Pakzad, S.N., “RL-Controller: A reinforcement learning framework for active structural control", IWSHM 2021.

  2. Cronin, L., Eshkevari, S.S., Sen, D. and Pakzad, S.N., “Transfer learning for input estimation of vehicle systems", 2021 IEEE International Conference on Acoustics, Speech and Signal Processing, Toronto, Canada.

  3. Sen, D., Sun, H., Long, J. and Buyukozturk, O., “Deconvolution seismic interferometry-based monitoring of short masonry structures", Engineering Mechanics Institute Conference 2019, Pasadena, CA.

  4. Sen, D. and Nagarajaiah, S., “Damage detection in steel pipes using a semi-supervised statistical learning algorithm", ASNT Annual Conference, ASNT 2016, Long Beach, CA.

  5. Sen, D., Bhattacharya, B. and Manohar, C.S., “Reliability of bridge deck subject to random vehicular and seismic loads through subset simulations", Proceedings of the 6th International Conference on Bridge maintenance, safety and management, IABMAS 2012, Stresa, Italy.

  6. Sen, D. and Bhattacharya, B., “On the Pareto optimality of efficient simulation techniques in structural reliability", 2012 Joint Conference of the Engineering Mechanics Institute and the 11th ASCE Joint Specialty Conference on Probabilistic Mechanics and Structural Reliability, EMI/PMC 2012, Notre Dame, IN.