Dr. Nivedita Mishra

About

I am Assistant Professor in the Department of Artificial Intelligence and Machine Learning at Symbiosis Institute of Technology, Pune. I have completed my Ph.D. on "Design and Development of Intrusion Detection System for Securing Embedded-AI Based Systems" in the field of Artificial Intelligence in the IoT Security domain. I have worked in IBM India Pvt. Ltd. as an Application Developer for two and a half years. I have done Masters in Engineering from Thapar University, Patiala, in Electronics and Communication department. My research interests include Internet of Things Security, Machine learning, Deep Learning, Data Science/AI fields

Employment

• Symbiosis International University Assistant Professor
  2024 - Present
• Symbiosis International University Symbiosis Institute of Technology Research Scholar
  2019 - 2023
• IBM (India) Application Developer
  2016 - 2019

Education

• Symbiosis International University Symbiosis Institute of Technology PhD (Junior Research Fellow)
  2019 - 2023
• Thapar University Master of Engineering
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Deep learning approaches for energy consumption forecasting: analyzing stress factors and optimizing models for future demand
  Discover Applied Sciences 2025 DOI: 10.1007/s42452-025-07718-3
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• Multimodal Sentiment Analysis using Multitasking
  2025 International Conference on Artificial Intelligence and Machine Vision (AIMV) 2025 DOI: 10.1109/aimv66517.2025.11203364
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• From Classical to Quantum: Exploring Hashing Techniques for Enhanced Data Security and Efficiency
  2025 International Conference on Emerging Information Technology and Engineering Solutions (EITES) 2025 DOI: 10.1109/eites66543.2025.00028
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• Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications
  Sensors 2021 DOI: 10.3390/s21238071
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• Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic Review
  IEEE Access 2021 DOI: 10.1109/ACCESS.2021.3073408
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• Performance analysis of NRZ, RZ, raised cosine and Gaussian modulation formats in 32x10 Gbps WDM system with different compensation techniques
  Proceedings of SPIE - The International Society for Optical Engineering 2015 DOI: 10.1117/12.2187167
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