Syed Muhammad Hur Rizvi, Ph.D. (On Leave)
Assistant Professor, Electrical and Computer Engineering
Dhanani School of Science & Engineering
Education
- PhD in Electrical Engineering (Power Systems), Washington State University, USA (2021)
- M.Sc. in Systems Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad (2013)
- B.Sc. in Electrical Engineering, University of Engineering and Technology, Taxila Pakistan (2011)
Teaching and research experience
Lecturer, Pakistan Institute of Engineering and Applied Sciences (2013-2017)
Teaching Assistant, Pakistan Institute of Engineering and Applied Sciences (2011-2013)
Courses Taught
Taught power transmission and distribution, linear control systems, power system analysis and power system protection courses
Biography
Syed Muhammad Hur Rizvi is an accomplished electrical engineer and researcher with a passion for advancing the field of power systems. His expertise lies in load modeling, voltage stability assessment, data-driven analysis for power systems and T&D co-simulation.
Hur Rizvi earned his Ph.D. in Electrical Engineering with a focus on Power Systems from Washington State University, Pullman, USA. He was the recipient of the prestigious Fulbright scholarship to pursue his doctoral studies. His research endeavors encompassed a wide range of topics, including the estimation of load model parameters using synchro phasors and the development of algorithms for voltage stability and security assessment. Prior to his postgraduate studies, he was beneficiary of PIEAS MS Fellowship Award for his graduate degree in Systems Engineering at Pakistan Institute of Engineering and Applied Sciences, Islamabad and Merit Scholarship awardee University of Engineering and Technology, Taxila for B.Sc. Electrical Engineering.
With numerous publications in respected journals (IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Industry Applications) and presentations at international conferences, Hur Rizvi has proven himself as a notable figure in power systems research. His work on load modeling, voltage stability assessment, and data-driven analysis has garnered attention for its practical applications and potential to reshape the future of energy distribution.
As a member of the Institute of Electrical and Electronics Engineers (IEEE), Hur Rizvi remains committed to the ongoing advancement of power systems technology. His expertise, dedication, and contributions continue to leave a lasting impact on the field, inspiring fellow researchers, and engineers alike.
Publications
Amar Sagar Reddy, S. M. Hur Rizvi, A. K. Srivastava, and V. Ajjarappu. Critical Comparative Analysis of
Measurement based Centralized Online Voltage Stability Indices, IEEE Transactions on Power Systems, 2022, doi=10.1109/TPWRS.2022.3145466
S. M. Hur Rizvi, K.S. Sajan, and A. K. Srivastava. Real-Time Parameter Tracking of Power-Electronics Interfaced Composite ZIP Load Model, IEEE Transactions on Smart Grids, 2021, doi= 10.1109/TSG.2021.3119507
S. M. Hur Rizvi, K. S. Sajan, and A. K. Srivastava. Synchrophasor based ZIP Parameters Tracking using ML with Adaptive Window and Data Anomalies, IEEE Transactions on Power Systems, 2021 doi=10.1109/TPWRS.2021.3088903
S. M. Hur Rizvi, K.S. Sajan, and A. K. Srivastava. Real-time ZIP Load Parameter Tracking using Adaptive Window and Variable Elimination with Realistic Synthetic Synchrophasor Data., IEEE Transactions on Industry Applications, 2021
S. M. Hur Rizvi, K. S. Sajan, and A. K. Srivastava. Data-driven Short-term Voltage Stability Assessment using Convolutional Neural Networks Considering Data Anomalies and Localization, IEEE Access, doi=10.1109/ACCESS.2021.3107248
Pramila N., Leslie Corson, S. M. Hur Rizvi, and A. K. Srivastava. TPCPF: Three-phase Continuation Power Flow Tool for Voltage Stability Assessment of Distribution Networks with Distributed Energy Resources. IEEE Transactions on Industry Applications, doi=10.1109/TIA.2021.3088384
S. M. Hur Rizvi. Time-series Deep learning for Robust Steady-State Load Parameter Estimation, Arab J Sci Eng (2021). https://doi.org/10.1007/s13369-021-05782-6.
S. M. Hur Rizvi, Pratim Kundu, and A. K. Srivastava. Hybrid voltage stability and security assessment using synchro phasors with consideration of generator Q-limits, IET Generation, Transmission and Distribution,2020 DOI:https://doi.org/10.1049/iet-gtd.2020.0201.
S. M. H. Rizvi and A. K. Srivastava, “Integrated T&D Voltage Stability Assessment Considering Impact of DERs and Distribution Network Topology,” in IEEE Access, vol. 11, pp. 14702-14714, 2023, doi: 10.1109/ACCESS.2023.3243100.
A novel distance-based system reactive power index for system level reactive power reserve assessment, S. M. Hur Rizvi, IET Smart Grid, 1-12, 2022, https://doi.org/10.1049/stg2.12096.
Hffi control of 8 degrees of freedom vehicle active suspension system, S. M. Hur Rizvi, M Abid, AQ Khan, SG Satti, J Latif, Journal of King Saud University-Engineering Sciences 30 (2), 161-169, 2016,
https://doi.org/10.1016/j.jksues.2016.02.004.
Conferences
Comparative Analysis of PMU Based Corridor Voltage Stability Indices and Enhanced Approach, S. M. Hur Rizvi and Anurag Srivastava, North American Symposium on Power Systems 2019, Wichita, KS, USA.
Data-Driven Static Load Model Parameter Estimation with Confidence Factor, Param Benerjee, S. M. Hur Rizvi and Anurag Srivasatva, PMAPS 2018, Boise, ID, USA.
Actuator fault diagnosis and isolation in vehicle active suspension system, S. M. Hur Rizvi, M Abid, AQ Khan, 2013 IEEE 9th International Conference on Emerging Technologies (ICET), 1-6.
S. M. Hur Rizvi, K. S. Sajan, and A. K. Srivastava. Realistic synchro phasor data generation for real-time zip load parameter tracking assisted with model selection. In 2020 Industry applications society meeting (IAS), Detroit, MI, USA, 2020.
Pramila N., Leslie Corson, S. M. Hur Rizvi, and A. K. Srivastava. TPCPF: A Three Phase Continuation Power Flow for Voltage Stability Analysis of the Distribution Systems with DERs. In 2020 Industry applications society meeting (IAS), Detroit, MI, USA, 2020.
S. M. Hur Rizvi, K. S. Sajan, and A. K. Srivastava. Realtime ZIP parameter tracking assisted by variable elimination, IEEE PESGM 2021, Washington, DC, USA
I. G. Abdul Kareem, S. M. H. Rizvi, S. Kaduvetty and T. Ghaoud, “An Open-source Automated Distribution Network Analysis (O-ADNA) tool for Modeling and Visualization,” 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), London, United Kingdom, 2023, pp. 1-6, doi: 10.1109/GlobConET56651.2023.10149941.
A. Sahoo, S. M. H. Rizvi and T. A. Naidu, “Robust Fault Ride Through of Grid-Connected Inverter using Hybrid Simulation Framework,” 2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC), Melbourne, Australia, 2022, pp. 1-7, doi: 10.1109/APPEEC53445.2022.10072284.
S. M. H. Rizvi, S. K. Sadanandan and T. Ghaoud, “TDS-CoSim: A Static Co-simulation Tool for Integrated T & D Snapshot Analysis Considering Large Penetration of DERs,” 2022 IEEE Industrial Electronics and Applications Conference (IEACon), Kuala Lumpur, Malaysia, 2022, pp. 67-72, doi: 10.1109/IEACon55029.2022.9951837.
S. Abdelaziz, A. Saeed, A. R. M. Al Awadhi, S. M. H. Rizvi and A. M. I. Haleem, “Exploratory Study of Grid-Connected Photo-voltaic System Operational Impacts on a Real Utility MV Distribution Network,” 2022 IEEE International Conference on Power Systems Technology (POWERCON), Kuala Lumpur, Malaysia, 2022, pp. 1-6, doi: 10.1109/POWERCON53406.2022.9930020.
