Soumya Sangita Nayak Assistant Professor at NAMTECH
Saumya Nayak - Faculty at NAMTECH

Soumya Sangita Nayak

Soumya is an accomplished academic and researcher specializing in smart manufacturing. She began her academic journey with a B. Tech in Mechanical Engineering from the Government College of Engineering in Kalahandi, Odisha. Pursuing her passion for advanced manufacturing technologies, she completed her M. Tech in Manufacturing System Engineering at VSSUT Burla, where she developed a keen interest in innovative manufacturing processes and systems.

Continuing her pursuit of excellence, Soumya joined the prestigious Ph.D. program at IIT Kharagpur. Her doctoral research, which is on the cusp of completion, focuses on modelling and simulation of friction stir welding process and the hybrid digital twin of the FSW process, contributing valuable insights to the field of smart manufacturing. She has published research papers in peer-reviewed journals and presented papers at international conferences. Upon nearing the completion of her Ph.D., Soumya joined NAMTECH as an Assistant Professor in the Smart Manufacturing Group. Here, she leverages her extensive knowledge and research experience to educate the next generation of engineers and contribute to cutting-edge research in smart manufacturing technologies.

In her leisure time, she engages in a multifaceted array of activities, including avidly listening to music, honing her culinary skills through cooking, and delving into the realms of new technologies and philosophical discourse by watching seminars and videos.

2018 – 2024 PhD Doctor of Philosophy

  1. Advanced Technology Development Centre, Indian Institute of Technology Kharagpur

2015 – 2017 MTech Manufacturing System Engineering

  1. Veer Surendra Sai University of Technology, Burla, Odisha

2010 – 2014 BTech Mechanical Engineering

  1. Government College of Engineering Kalahandi, Odisha
  1. Assistant Professor: Department of Smart Manufacturing, NAMTECH; Gandhinagar, India May 2024-Present
  2. Teaching Assistant: AI for Manufacturing Course, Center of Excellence in Advanced Manufacturing Technology and in Metrology lab, Forming lab, Friction Stir Welding Lab, Department of Mechanical Engineering, Indian Institute of Technology Kharagpur (2018-2023)
  3. Junior Research Fellow: Indian Institute of Technology Kharagpur, (September 2017-January-2018)
  4. Guest Faculty: Department of Mechanical Engineering, Government College of Engineering Kalahandi, Odisha, (July 2017- September 2017).
  5. Industrial Internship: Hindustan Aeronautics Limited, Sunabeda, Odisha (June-2013).

Publications

  1. Nayak SS, Iqbal MP, Jain R, Pal SK, Srirangam P. A computationally efficient multiphysics model for friction stir welding with polygonal pin profiles. Journal of Adhesion Science and Technology. 2024 Mar 3;38(5):654-86.
  2. Nayak SS, Mahto RP, Pal SK, Srirangam P. Microstructure and texture in welding: a case study on friction stir welding. Welding Technology. Springer. 2021:193-228.
  3. Nayak SS, Iqbal MP, Pal SK, Srirangam P. Numerical modeling of temperature distribution in friction stir welding of aluminum plates. presented at International Welding Congress & Weld India 2020. 6th to 9th February 2020. CIDCO Exhibition Centre, Navi Mumbai
  4. Goswami NK, Pal K, Bisoyi RK, Nayak SS. Monitoring of Weld Bead Profile in Friction Stir Lap Welding for Polycarbonate Sheets Using Wavelet Packets of Power Signal. Arabian Journal for Science and Engineering. 2024 Apr 29:1-33.
  5. Sahu S, Mypati O, Nayak SS, Sarkar P, Pal SK, Singh SB. Friction Stir Welding for Joining of Dissimilar Materials. InAdvances in Additive Manufacturing and Joining: Proceedings of AIMTDR 2018 2020 (pp. 699-709). Springer Singapore.
  6. Nayak SS, Puhan P, Mishra D. Influence of Process Parameters of Nd-YAG laser Microdrilling on CNT-NiAl Composites. COPEN 2017, International Conference on Precision, Meso, Micro and Nano Engineering. Indian Institute of Technology Madras. (December 7-9, 2017)
  1. Manufacturing processes, Modeling and Simulation, AI in manufacturing, Digital Twin in Manufacturing.

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