Professor, Department of Electrical Engineering
Controller of Examinations (CoE)
Deenbandhu Chhotu Ram University of Science and Technology
Murthal, Sonipat, Haryana, India
(A Haryana State Government NAAC Accredited University)
Dr. Sanju Saini is a Professor of Electrical Engineering at DCRUST, Murthal, backed by a 35-year tenure in technical pedagogy, institutional governance, and advanced research. A specialist in nonlinear dynamics and intelligent systems, her work bridges mathematical modeling and grid-scale applications. She focuses on the synthesis of chaotic systems, neural network architectures, and fuzzy logic control strategies, deploying soft computing frameworks to optimize wind-energy forecasting and mitigate electro-mechanical power system oscillations. Her peer-reviewed portfolio reflects a prolific legacy of leveraging computational intelligence to enhance predictability and secure signal transmission within modern power grids. Alongside her academic and research mandates, she additionally serves as the Controller of Examinations (CoE), steering the university's macro-level assessment frameworks and academic evaluation metrics.
Currently serving on both the Post-Graduate and Under-Graduate Boards of Studies in the Electrical Engineering Department, DCRUST, Murthal — shaping curriculum for the next generation of engineers.
Active member of the Faculty of Engineering & Technology at Deenbandhu Chhotu Ram University of Science and Technology, contributing to institutional academic governance and policy.
Students interested in thesis research on Chaotic Systems, Neural Networks, or Fuzzy Logic Control are welcome to enquire about M.Tech. guidance opportunities. Contact Dr. Saini →
Over 50 peer-reviewed publications across Chaotic Systems, Neural Networks, Fuzzy Logic, and Electrical Instrumentation, with international presentations on four continents.
Analysis and control of chaotic dynamical systems, synchronization, bifurcation, and applications in secure communications and engineering control.
Artificial neural network architectures applied to adaptive control, fault diagnosis, pattern recognition, and intelligent signal processing in electrical systems.
Fuzzy logic controllers and hybrid neuro-fuzzy architectures for robust non-linear process control, decision-making under uncertainty, and intelligent automation.
Saini, S. & Sharma, R. K.
International Journal of Systems Science, Vol. 42, Issue 6, pp. 1012–1024, 2011
Saini, S., Gupta, M., & Arora, P.
Engineering Applications of Artificial Intelligence, Vol. 25, Issue 3, pp. 589–601, 2012
Saini, S. & Dhull, S. K.
Journal of Intelligent & Fuzzy Systems, Vol. 27, Issue 5, pp. 2289–2298, 2014
Saini, S., Singh, A., & Sharma, N.
Applied Mathematics and Computation, Vol. 218, Issue 17, pp. 8929–8938, 2012
Saini, S. & Kumar, V.
Electric Power Systems Research, Vol. 80, Issue 4, pp. 412–420, 2010
Showing a representative sample of 50+ publications. Request the full list →
Published Textbook
A comprehensive textbook covering the principles of electrical and electronic measurement, signal conditioning, transducers, data acquisition systems, and modern instrumentation. Designed for undergraduate and postgraduate students of Electrical and Electronics Engineering at Indian universities.
Author: Sanju Saini
Publisher: Khanna Publishers, New Delhi
Subject: Electrical Engineering — Instrumentation & Measurement
Saini, S.
International Conference on Engineering and Applied Sciences, Chiang Mai, Thailand, 2008
Saini, S. & Arora, P.
IEEE International Conference on Systems, Man, and Cybernetics, Las Vegas, USA, 2012
Selected international presentations. Invitations received from Thailand, USA, Australia, Malaysia, Indonesia, Nepal, and Russia.
25+ years of dedicated teaching across undergraduate and postgraduate programmes in Electrical Engineering at DCRUST, Murthal.
"Effective engineering education demands a bridge between rigorous theoretical foundations and the practical demands of industry and research. My approach integrates classical control theory with modern intelligent systems—equipping students not merely with knowledge, but with the analytical depth to solve problems that do not yet exist."
— Dr. Sanju Saini
For academic collaboration, conference invitations, research enquiries, or student guidance.