Dr. Nafees Ahamad

About

Dr. Nafees Ahamad has done B.E from Madan Mohan Malaviya Engineering College, Gorakhpur, U.P., India, and a PG Diploma in computer applications from CDAC Bangalore. His master's degree (M.Tech) is in Digital Communication and recently, he awarded a Ph.D. degree from the Department of Electrical Engineering, DIT University, India. Presently, he is working with the Department of Electrical, Electronics & Communication Engineering in the capacity of Assistant Professor and Associate Head of Electrical Engineering. His area of interest includes Control System, Order Reduction, Controller Design, System Engineering, and Optimization, etc.

Employment

• DIT University Assistant Professor
  2002 - Present

Education

• Formerly Madan Mohan Malaviya Engineering College B.E
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Erratum — Nitrogen dioxide gas sensing using surface plasmon resonance sensor
  Modern Physics Letters B 2026 DOI: 10.1142/S0217984926920016
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• Nitrogen dioxide gas sensing using surface plasmon resonance sensor
  Modern Physics Letters B 2025 DOI: 10.1142/S0217984925502215
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• Load Frequency Control of Power System Using Honey Badger Algorithm
  2022 DOI: 10.1109/ICICCSP53532.2022.9862502
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• New Control Strategy for Load Frequency Control of Single Area Power System using Archimedes Optimization Algorithm
  2022 DOI: 10.1109/STPES54845.2022.10006629
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• Order diminution and its application in controller design using salp swarm optimization technique
  International Journal of System Assurance Engineering and Management 2022 DOI: 10.1007/s13198-021-01367-6
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• A Novel Reduction Approach for Linear System Approximation
  Circuits, Systems, and Signal Processing 2021 DOI: 10.1007/s00034-021-01816-4
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• A novel approach of order diminution using time moment concept with Routh array and salp swarm algorithm
  TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 2021 DOI: 10.3906/elk-2005-120
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• A New Classical Method of Reduced-Order Modelling and AVR System Control Design
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-8815-0_8
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• PERFORMANCE IMPROVEMENT OF MAXIMUM POWER POINT TRACKER OF SOLAR PANELS USING ARTIFICIAL NEURAL NETWORKS
  i-manager’s Journal on Electrical Engineering 2021 DOI: 10.26634/jee.14.3.18284
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• A comparative study of PID controller tuning techniques for time delay processes
  UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science 2019
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