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Mrs. Alka Agrawal

Mrs. Alka Agrawal

  • Assistant Professor
    Institute of Engineering & Technology
  • Department

    Department of Computer Engineering & Applications
  • Contact Details:

    Email : alka.agrawal@gla.ac.in

    Contact Number :9997257885

  • Experience

    10.5 Years Teaching experience

  • Qualifications

    • PhD in Engineering, 2022, from GLA University, Mathura (U.P.) Title: Adaptive Control System Design using Intelligent Techniques
    • In 2013, M.Tech. (VLSI Design) from Dr. A.P.J Abdul Kalam Technical University. Lucknow (U.P.) with 7.67 CGPA
  • Ph.D

    Thesis Supervised

  • Awarded/ Completed-

    Working1

  • Postgraduate

    Thesis Supervised

  • Awarded/ Completed-

    Working-

SCI

  • Agarwal, A., Mishra, P. & Goyal, V. A Novel Augmented Fractional-Order Fuzzy Controller for Enhanced Robustness in Nonlinear and Uncertain Systems with Optimal Actuator Exertion. Arab J Sci Eng (2021). https://doi.org/10.1007/s13369-021-05508-8
  • Mannepalli, P.K., Baghela, V.D., Agrawal, A., Johri, P., Dubey, S.S., & Parmar, K. (2024). Transfer Learning for Automated Classification of Eye Disease in Fundus Images from Pretrained Model. Traitement du Signal.

Scopus

  •  Agrawal A.,Goyal V., Mishra P.(2019)Comparative Study of Fuzzy PID and PID controller optimized with Spider Monkey Optimization for a Robotic Manipulator System. Recent Patents on Computer science and communications.

Conferences

  •  Agrawal A.,Goyal V., Mishra P. (2019) Adaptive Control of a Nonlinear Surge Tank-Level System Using Neural Network-Based PID Controller. In: Malik H., Srivastava S., Sood Y., Ahmad A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore
  •  Agrawal A., Goyal V., Mishra P. (2020) Study of Performance of Ant Bee Colony Optimized Fuzzy PID Controller to Control Two-Link Robotic Manipulator with Payload. In: Goel N., Hasan S., Kalaichelvi V. (eds) Modelling, Simulation and Intelligent Computing. MoSICom 2020. Lecture Notes in Electrical Engineering, vol 659. Springer, Singapore. https://doi.org/10.1007/978-981-15-4775-1_56
  •  Agrawal A. (2021) Analysis of Efficiency of Fractional Order Technique in a Controller for a Complex Nonlinear Control Process. In: Tiwari S., Suryani E., Ng A.K., Mishra K.K., Singh N. (eds) Proceedings of International Conference on Big Data, Machine Learning and their Applications. Lecture Notes in Networks and Systems, vol 150. Springer, Singapore. https://doi.org/10.1007/978-981-15-8377-3_1
  •  Alka Agrawal 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1022 012109, “Analytical Study of the Robustness of the Different Variants of Fractional-Order Self-Tuned Fuzzy Logic Controllers”.
  •  Alka Agrawal. (2020). Study of SMO optimized Self Organizing behavior of Fuzzy Logic Controller to control the Non-Linear Complex processes. International Journal of Advanced Science and Technology, 29(7), 3703-3714. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/22116
  • Agrawal, A. (2022, October). Analytical Study of Intelligent controller with different objective function to control a complex non-linear system. In 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
  • Maheshwari, A., Agrawal, A., & Goyal, V. (2024, June). Intelligent Optimization of Fractional and Non-Linear PID Controllers for Trajectory Tracking of a 3-Link Robotic Manipulator. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-8). IEEE.
  • Agrawal, A., & Bachan, P. (2024, April). Parallel Control Structure Augmented with Fractional Order Control for Disturbance Rejection in Three-Link Robotic Manipulator System. In 2024 IEEE Third International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) (pp. 406-411). IEEE.
  • Maheshwari, A., Goyal, V., & Agrawal, A. Analytical Study of Dominating Features of Intelligent Controller over Conventional Controller. In Embedded Artificial Intelligence (pp. 265-276). Chapman and Hall/CRC.

Patrnts

“Application of Fuzzy Logic Based Mppt Method on Photo Voltaic Panel” Published on (26/03/21)

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