Nizar Lajnef

Contact Information

Engineering Bldg.
428 S Shaw Ln
Room: 3568
East Lansing , MI 48824

(517) 353-8883

lajnefni@msu.edu

Faculty Website

Associate Dean of Research and Strategic Partnerships, ISP

Civil and Environmental Engineering
Civil and Environmental Engineering - Professor

Biography

Dr. Nizar Lajnef is a Professor and Associate Chair for Graduate Studies in the Department of Civil and Environmental Engineering. His current research activities include sensors design for structural health and usage monitoring, damage detection algorithms with application to civil, mechanical and biomechanical structures, nano-watt and self-powered sensors, and smart materials and composites. He holds three patents in the area of sensor design and advanced materials. Dr. Lajnef is the author of more than 90 peer-reviewed publications in the area of sensors design and energy harvesting. He was a recipient of the Academy of Global Engagement fellowship in 2014, and the Lilly Teaching Fellowship in 2012. Dr. Lajnef is a member of the American Society of Civil Engineers (ASCE), the Institute of Electrical and Electronics Engineers (IEEE), and serves on the Energy Harvesting committee for the American Society of Mechanical Engineers (ASME).

Education

  • Ph.D., Structural Engineering – Civil Engineering, Michigan State University 2008
  • M.S., Civil Engineering, Michigan State University 2008
  • M.S., Computational Mechanics, Tunisia Polytechnic Institute, Tunisia 2005
  • B.S., Mechanical Engineering, Tunisia Polytechnic Institute, Tunisia 2004

Research Interests

  • Sensor Design for Structural Health and Usage Monitoring
  • Damage Detection Algorithms for Civil
  • Mechanical
  • and Biomechanical Structures
  • Nano-Watt and Self-Powered Sensors
  • Smart Materials and Composites

Selected Publications

  1. VKR Kodur, A Jha, N Lajnef (2024), Critical Egress Parameters Governing the Assisted Evacuation in Hospital Buildings, Fire, 7(3): 85.
  2. H. Bolandi, G. Sreekumar, X. Li, N. Lajnef, V.N. Boddeti (2023). Physics Informed Neural Network for Dynamic Stress Prediction. Applied Intelligence (2023): 1-16.
  3. M. Manosalvas-Paredes, K. Aono, S. Chakrabartty, J. Blanc, D. Lo Presti, K. Chatti, N. Lajnef (2023). Validation of a Novel Sensing Approach for Continuous Pavement Monitoring Using Full-Scale APT Testing. Journal of Transportation Engineering, Part B: Pavements, 149(1), 04022062
  4. H. Bolandi, G. Sreekumar, X. Li, N. Lajnef, V.N. Boddeti, (2022). Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components. arXiv e-print arXiv:2301.02580
  5. H. Bolandi, X. Li, T. Salem, V. Boddeti, N. Lajnef (2022), Bridging Finite Element and Deep Learning: High-Resolution Stress Distribution Prediction in Structural Components, Frontiers of Structural and Civil Engineering, 16, 1365-1377
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MSU Scholar

MSU Scholars (Publications)

Google Scholar

Google Scholar (Publications)

Awards

  • Lilly Teaching Fellows Program, 04/2012 – 04/2013, “Visualization through Advanced Sensing Platforms as a Tool to Enhance Undergraduate Teaching of Structural Analysis”. Total: $14,000 (2013-2014)
  • Academy of Global Engagement Fellowship, 12/2013 – 12/2014 (2013-2014)
  • Best Paper award, ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, American Society of Mechanical Engineers (SMASIS2022)
  • Best Paper Award. International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART2015)
  • Best Paper Award. IEEE International Symposium on Circuits and Systems, Melbourne, Australia, (2014)

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