Dr. Vipin Chandra

        Dr. Vipin Chandra is currently serving as an Assistant Professor in the Department of Aerospace Engineering at Rajiv Gandhi National Aviation University (RGNAU), Fursatganj. He holds a Ph.D. in Aerospace Engineering from the Indian Institute of Technology (IIT) Kanpur, where his doctoral research focused on Digital Image Correlation (DIC)-based experimental methods for fracture and fatigue analysis. He also earned his M.Tech in Aerospace Engineering from IIT Bombay and holds a B.Tech in Mechanical Engineering.

       His research interests span experimental solid mechanics, fracture and fatigue analysis, advanced composite materials, residual stress evaluation, and AI/ML- based data-driven modeling. Dr. Chandra has played a key role in several industry-sponsored research projects in collaboration with premier organizations such as ISRO, DRDO, and DMRL.

       He is the inventor of innovative and patented techniques such as Automated Crack Extension Measurement (ACEM) and Virtual-DIC, demonstrating his commitment to innovation and translational research. His contributions have been recognized at prestigious forums, including InventInve-25 at IIT Madras.

        A passionate educator and mentor, Dr. Chandra is actively engaged in developing cutting-edge experimental facilities to support advanced testing and simulation of aerospace materials.

Educational Qualifications:

Professional Experience:

• Assistant Professor, Department of Aerospace Engineering, Rajiv Gandhi National Aviation University, Amethi — July 2025 – Present

• Postdoctoral Fellow, Department of Aerospace Engineering, Indian Institute of Technology Kanpur — Dec 2024 – July 2025

Areas of Research Intrest:

• Experimental Solid Mechanics

• Fracture and Fatigue Analysis

• Digital Image Correlation (DIC)

• Advanced Composite Materials

• Residual Stress Evaluation

• Data-driven Modeling using AI/ML

Publications (Selected Journal Articles):

1. Chandra, V., & Chakraborty, P. (2024). Automated crack extension measurement method for fracture and fatigue analysis using digital image correlation. Engineering Fracture Mechanics. Read more

2. Chandra, V., & Chakraborty, P. (2024). Influence of image capture frequency on accuracy of DIC for fatigue analysis. International Journal of Fatigue, 189, 108573. Read more

3. Chandra, V., & Chakraborty, P. (2024). Combined physical and virtual DIC technique for model validation. Experimental Mechanics. Read more

4. Chandra, V., & Chakraborty, P. (2022). Comparison of full-field solution in virtual and experimental DIC. Aerospace and Associated Technology, Routledge, pp. 295–299. View Link

5. Singh, A., Chandra, V., & Kitey, R. (2022). Mechanical characterization of iron flakes filled polyurethane composites. Springer, pp. 133–144. View Link

Patents:

1. A System and a Method for Contactless Automated Crack Extension Measurement

   • Indian Patent No: 202411022761 (Granted No: 555173) | Filed: March 23, 2024

2. Deformation Tracking and Virtual Speckling Technique for Digital Image Correlation

   • Indian Patent No: 202411044660 | Filed: June 10, 2024 (Published)

Technology Development:

• Automated Crack Extension Measurement (ACEM) Tool
  Under technology transfer

Conference Presentations & Invited Talks (Selected):

• ATEM-iDICs ’23, Japan: Development of Automated Crack Extension Measurement using DIC 

• ICCMS 2022, IIT Indore: Two-Scale Particle-Based Model for Hot Isostatic Pressing

• SICE 2022, IIT Hyderabad: Cyclic Loading Experiments using DIC

• INCAM 2022, NIT Jamshedpur: Virtual Speckling for Enhanced Crack Growth Detection

• ME@75, IISc Bangalore: Full-Field Strain for Fracture Crack Evolution

• ICTACEM 2021, IIT Kharagpur: Full-field DIC Model Verification

• SWAYAM 2020, Wardha: Model Validation using J2 Plasticity and DIC