Dr. Nitin Sundriyal | Faculty | Electrical Engineering

Dr. Nitin Sundriyal
Associate Professor

RESEARCH AREA

Analytical Geometrical tools for simulation and study of power quality events, Harmonic analysis in circuit by geometrical Algebra, Frequency estimation in complex network.

EDUCATION

  • Ph.D. in Electrical Engineering, “Enhancing Electric Power System Application through Geometric Insights”, from Cinvestav del IPN, Guadalajara, Mexico (2023)
  • M.Tech in Power System from Amity University, ASET- Noida (2014)
  • B.Tech in Electrical and Electronics Engineering, from GEIT ( Aff. To H.N.B. Garhwal University) (2008)

AWARDS/HONORS

  • Received Mexican International scholarship CONACYT, from 2019-23, for PhD studies
  • Reviewer in TEXAS POWER AND ENERGY CONFERENCE (TPEC)-2024

PROFESSIONAL MEMBERSHIP

  • IEEE Professional Member

Dr. Nitin Sundriyal, has an M. Tech in Electrical Engineering (Power Systems) and  B. Tech in Electrical & Electronics Engineering from H.N.B Garhwal University, Srinagar(Garhwal), and has a Ph.D. in Power Quality and Analytics at Cinvestav del IPN, Guadalajara, Mexico. His PhD study focused on power quality data analytics and solutions.

With extensive academic and industry experience, Dr. Sundriyal has contributed to education and research. He has 10 years of experience in data analytics, real-time modelling and renewable energy and is proficient in Python, and MATLAB.

Publishing and presenting at prestigious international conferences demonstrate Dr. Sundriyal’s research. His work is in Elsevier’s “Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques” and “Mathematics for Application,” AGACSE-2021. He also presented at the 2023 IEEE International Conference on Computer, Electronics, and Electrical Engineering and their Applications (IC2E3) and in Springer, A Novel Approach for Designing PID Controller for HVAC Process Set Point Tracking. In addition to his article, he presented in Spanish in IEEE Latin America and Guadalajara section on, “Power flow problem approach through Geometrical Algebra.