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Dr. S. LAKSHMI

Dr. S. LAKSHMI View All

Assistant Professor

School of Technology

Dr. S Lakshmi as the Assistant Professor in the Department of CSE, School of Technology, The Apollo University, on 22-06-2026. She completed her undergraduate degree from Bharathidasan Engineering College, affiliated with Anna University, and her postgraduate degree from Sapthagiri Engineering College, also affiliated with Anna University. She obtained her Ph.D. from Vellore Institute of Technology.

She has over 9 years of teaching experience and has supervised more than 12 student projects at both the UG and PG levels. She has also held various administrative responsibilities, including serving as a NAAC and NBA Coordinator. She has published 6 research articles in National and International Journals. In addition, she has presented a paper at an International Conference on IoT. She has also served as a reviewer for various International Journals published by IoP Publisher and Elsevier.

    • Graduation In :

      Information Technology

    • Graduation From :

      Bharathidasan Engineering College - Anna University

    • Graduation Year :

      2012

    • Post Graduation In :

      Computer Science and Engineering

    • Post Graduation From :

      Sapthagiri College of Engineering - Anna University

    • Post Graduation Year :

      2016

    • Doctorate In :

      Computer Science and Engineering

    • Doctorate From :

      Vellore Institute of Technology

    • Doctorate Year :

      2026

    • 9

  • Publications in Journals

    Lakshmi, S., & Krishnamoorthy, A. (2024). Effective Multi-Step PM2.5 and PM10 Air Quality Forecasting Using Bidirectional ConvLSTM Encoder-Decoder With STA Mechanism. IEEE Access. SCI; IF 3.6.

    Sankar, L., & Arasu, K. (2025). Efficient Multi-Station Air Quality Prediction in Delhi with Wavelet and Optimization-Based Models. PLOS ONE. SCI; IF 2.6.

    Lakshmi, S., & Krishnamoorthy, A. (2025). Deep Transfer Learning and Attention-Based PM2.5 Forecasting in Delhi Using a Decade of Winter Season Data. Scientific Reports. SCI; IF 3.9.

    Lakshmi, S., & Krishnamoorthy, A. (2025). Centralized Transfer-Learning LSTM with Multi-Head Attention for Interpretable Multi-Pollutant Forecasting in Delhi’s Winter Smog Episodes. Engineering Research Express. ESCI; IF 1.6.

    Lakshmi, S., & Krishnamoorthy, A. (2023). Deep Learning Techniques for Air Quality Prediction: A Focus on PM2.5 and Periodicity. Migration Letters.

    S. Lakshmi. (2020). Wireless Energy Meter Home Automation. International Research Journal of Engineering and Technology (IRJET).

    Publications in Conferences

    Lakshmi, S., & Krishnamoorthy, A. (2024). Deep Learning Approaches for Air Quality Forecasting: An LSTM and CNN Perspective. IEEE International Conference on IoT, Communication & Automation Technology.