Assistant Professor

Dr Priyanka Singh

Department of Computer Science and Engineering


  1. Soft Computing
  2. Optimization
  3. Time series prediction



Ideal Institute of Technology, Ghaziabad, Uttar Pradesh


Indian Institute of Information Technology Allahabad, Prayagraj, Uttar Pradesh


Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh


  • August 2019 – Assistant Professor – VIT Bhopal University, Bhopal

Research Interest

  • Optimization of real engineering problems using meta-heuristic algorithms.
  • Development of accurate and stable models to time series problems such as electricity load and price forecasting on very short-term, short-term and long term basis.
  • Machine learning approach to classification of microarray data.

Awards & Fellowships

  • 2012 & 2013 – GATE


  • Priyanka Singh, and PragyaDwivedi. "Integration of new evolutionary approach with artificial neural network for solving short term load forecast problem." Applied Energy (2018), 217: 537-549.
  • Priyanka Singh, PragyaDwivedi, and Vibhor Kant. "A hybrid method based on neural network and improved environmental adaptation method using Controlled Gaussian Mutation with real parameter for short-term load forecasting." Energy (2019), 174: 460-477
  • Priyanka Singh, and PragyaDwivedi. “A Novel Hybrid Model Based on Neural Network and Multi-Objective Optimization for Effective Load Forecast.” Energy (2019), 182: 606-622.
  • Priyanka Singh, K.K. Mishra and PragyaDwivedi. (2017). Enhanced hybrid model for electricity load forecast through artificial neural network and Jaya algorithm. 115-120. 10.1109/ICCONS.2017.8250660
  • Short-term electricity load forecast using hybrid model based on neural network and evolutionary algorithm. (Accepted in Numerical Optimization in Engineering and Sciences (NOIEAS), 2020)
  • Very Short-Term Load Forecasting with Hybrid Deep Learning Neural Network in Delhi, India. (Accepted in International Exergy, Energy and Environment Symposium (IEEES), 2019)
  • Singh, Priyanka, and Rahul Kottath. "An ensemble approach to meta-heuristic algorithms:comparative analysis and its applications." Computers & Industrial Engineering 162 (2021): 107739.
  • Singh, Priyanka, Rahul Kottath, and Ghanshyam G. Tejani. "Ameliorated Follow The Leader: Algorithm and Application to Truss Design Problem." In Structures, vol. 42, pp. 181-204. Elsevier, 2022.
  • Singh, Priyanka, and Rahul Kottath. "Application of mutation operators on grey wolf optimizer." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), pp. 1-6. IEEE, 2021.
  • Kottath, Rahul, and Priyanka Singh. "A Meta-heuristic Learning Approach for Short-term Price Forecasting." In Soft Computing: Theories and Applications, pp. 147-156. Springer, Singapore, 2022.

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