Aerospace-Engineering

National Aerospace Conceptual Design Competition (NACDeC VI) 2023 – Winners. Department of Aerospace Engineering organizing Skill Development Workshops for Aerospace Students. M.Tech. in Industrial Systems Engineering (Specialization: Model Based Systems Engineering) Consolation prize for Mr. Jayesh Sharma, in SYRES 2023 in PG Category organized by IEEE Hyderabad. Best paper award for Ms. Rinisha T. Nikhade & Dr. Ganapati N. Joshi, International conference STAAAR 2023. SPANDAN 2024 – Department of Aerospace Engineering students won the Institute Rolling Trophy. Patent Successfully granted to Dr. Manish Tripathi, Dr. Ajay Misra, Dr. Mahesh M. S. Consolation prize for Mr. Jayesh Sharma, in SYRES 2023 in PG Category organized by IEEE Hyderabad. Best Paper Award for Jagdish J S, Oshmita A & Dr. Pooja Agrawal, International Conference on Innovations in Infrastructure (ICIlIF 2024), organized jointly by the Institute of Technology Research and Management (TRAM), India, and Université Polytechnique Hauts-de-France (UPHE), France, 2024. Best Paper Award for Srinivasan R, Dr. Sunita Dhavale & Dr. Pooja Agrawal, IEEE International Conference on Robotics and Mechatronics (ICRM), 2025. Best Paper Award for Prajakta Koratkar & Dr. Pooja Agrawal, International Conference on Smart Mechanical Systems for Sustainability (ICSMSS 2025), organized by the Department of Mechanical Engineering, jointly with Indian Society of Manufacturing Engineers, 2025. Best Paper Award for Rahul Chaudhary & Dr. Pooja Agrawal, International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE), 2025. Conducted Rubber powered & E20 battery powered airplane building & flying workshop on 13 Jan 2025. Conducted customized course on Missile Technology for BDL Executives from 05 May 2025 to 13 June 2025 Conducted orientation Workshop on Missiles & UAVs on 13-14 Aug 2025 Best Paper Award for Mittapalyam Ashok Karthik, Dr. Ajay Misra & Dr. Ganapati N. Joshi, International Conference on Sustainable Air and Space Technologies (ICSAST – 2025), KITS, 2025
DIAT

Department of Aerospace Engineering and Autonomous Systems

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SonamSingh

Ms. Sonam Jawahar Singh

Laboratory Superintendent | Software Systems & Data Analytics | Researcher

About Me

I am Ms. Sonam Jawahar Singh, a technology professional, researcher, and academic laboratory management specialist currently working as a Laboratory Superintendent at the Defence Institute of Advanced Technology (DIAT) since 2011.

I hold a Diploma in Computer Engineering (CE), a B.E. equivalent qualification in Computer Science & Engineering (CSE), and an M.Tech. in Software Systems with specialization in Data Analytics from BITS Pilani, and pursuing Ph.D. from the Defence Institute of Advanced Technology (DIAT).

In my current role at DIAT, I am  managing and supporting technical laboratory facilities. My work involves laboratory administration,  technical support, software and system management, resource coordination, and providing technical assistance for academic and research activities.

My professional and research interests include Software Systems, Data Analytics, Artificial Intelligence, Machine Learning,  and Feature Engineering. I am particularly interested in applying data-driven and intelligent computing techniques to solve real-world problems and support innovative research.

Through my academic background, research experience, and professional responsibilities, I have developed a strong combination of technical expertise, analytical thinking, problem-solving ability, research skills, and laboratory management experience. I strive to contribute to an environment that promotes innovation, quality education, effective research, and the practical application of emerging technologies.

I am passionate about continuous learning and exploring emerging technologies, and I aim to use my knowledge and experience to contribute meaningfully to academic, research, and technology-driven initiatives.

Publications

  1. Singh, S. J., Rajaraman, R., & Verlekar, T. T. (2023). Breast Cancer Prediction Using Auto-Encoders. In Proceedings of the International Conference on Data Management, Analytics and Innovation, pp. 121–132. Springer, Singapore.
  2. Singh, S. J., & Agrawal, P. (2025). Multi-Class Prediction and Anomaly Detection for Breast Cancer Using Machine Learning-Data Mining Approach. In 2025 9th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE.
  3. Singh, S. J., & Agrawal, P. (2025). Assessing the Reliability of Machine Learning Predictions in Breast Cancer Diagnosis via Hypothesis Testing. In Proceedings of the 1st ISSE International Conference (IIC-01) on Systems Engineering.
  4. Singh, S. J., & Agrawal, P. (2024). Machine Learning Based Genome Cancer Dataset Approaches. AIP Conference Proceedings, 3217(1), 020013.
  5. Singh, S. J., & Agrawal, P. (2024). Machine Learning Approach for Breast Cancer Ternary-Class Prediction. In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA), pp. 1–5. IEEE.
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