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Faculty

Dr. Anurag Das
Assistant Professor (Faculty)
Dr. Anurag Das
Dr. Anurag Das
Assistant Professor (Faculty)
Specialization
Specialization
  • Power Systems Engineering
higher-education
Highest Education Qualification
  • Ph.D
phd
PhD University
  • NIT Rourkela, Odisha
phd-completion
PhD Completion Year
  • 2024
teaching-experience
Teaching Experience Years
  • 2.5 years
Specisubjectalization
Subjects Taught
  • 1. Discrete Maths, 2. Applied Statistics, 3. Introduction to Machine learning, 4. Number theory and Calculus, 5. C Programming
research-domain
Research Domain
  • Power Systems operations and controls
research-details
Research Details
  • 1. A. Das and A. Sengupta, “Model predictive control for resilient frequency management in power systems”,Electr. Eng., vol. 106, pp. 6131-6157. https://doi.org/10.1007/s00202-024-02352-5 A. Das and A. Sengupta, “Power system voltage stabilization using model predictive control”, Electr. Eng., vol. 106, pp. 2765-2783 (2024). https://doi.org/10.1007/s00202-023-02099-5 A. Das and A. Sengupta, “Frequency Management in Power Systems with Uncertain Loads and Generation: A Model Predictive Control Approach,” 2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T), Raipur, India, 2024, pp. 721-726. https://doi.org/10.1109/ICPC2T60072.2024.10474819. A. Das and A. Sengupta, ”Modeling of Frequency Dependency in Steady-State and Dynamic Analysis of Multi-Area Power System,” 2024 IEEE International Conference on Smart Power Control and Renewable Energy (ICSPCRE), Rourkela, India, 2024, pp. 1-6, https://doi.org/ICSPCRE62303.2024.10674749. Anurag Das and L. Srivastava, ”Optimal placement and sizing of distributed generation units for power loss reduction using Moth-Flame optimization algorithm,” ICICICT,Kerala, 2017. 3. Hemlata Gangwar, Anu Singha, and Anurag Das, ”Machine learning based consumer behavior detection device,” Feb 2025, Indian Patent Design no- 447438-001.
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