– Professional Engineer in Pakistan Engineering Council (a signatory body of Washington Accord).
– Ph. D Scholarship at Zhejiang University, China from Chinese Scholarship Council (CSC) (2018- 2023)

1) T. Aziz, M. Waseem, S. Liu, Y. Ma, Z. Lin, and Q.-U.-D. Memon, “A self-healing restoration of power grid based on two-stage adaptive decision-making strategy to enhance grid resilience,” International Journal of Electrical Power & Energy Systems, vol. 154, p. 109435, 2023/12/01/ 2023, https://doi.org/10.1016/j.ijepes.2023.109435. (IF= 5.2)

2) T. Aziz, M. Waseem, S. Liu, and Z. Lin*,, ” Two-stage MILP model for optimal skeleton-network reconfiguration of power system for grid-resilience enhancement,” Journal of Energy Engineering, vol. 148, no. 1, pp. 04021060, 2022. https://doi.org/ 10.1061/(ASCE)EY.1943-7897.0000814. (IF= 2.040)

3) T. Aziz, Z. Lin*, M. Waseem, and S. Liu. “Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience,” International Transactions on Electrical Energy Systems, p. e12704, 2020. https://doi.org/10.1002/2050-7038.1270438. (IF=2.860)

4) T. Aziz, M. Waseem, S. Liu, and Z. Lin, Y. Zhao, K. Pang “A Novel Power System Sectionalizing Strategy Based on Modified Label Propagation Algorithm” (https://ieeexplore.ieee.org/document/10166663)

5) M. Waseem, Z. Lin*, S. Liu, Z. Zhang, T. Aziz, and D. Khan, “Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources,” Applied Energy, vol. 290, p. 116761, 2021. https://doi.org/10.1016/j.apenergy.2021.116761 (IF=9.746)

6) M. Waseem, Z. Lin*, S. Liu, I. A. Sajjad, and T. Aziz, ” Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort,” Electric Power Systems Research, vol. 187, p. 106477, 2020. https://doi.org/10.1016/j.epsr.2020.106477. (IF=3.9)

7) Z. Chu, X. Cui, X. Zhai, S. Liu, W. Qiu, M. Waseem, T. Aziz, et al., “Anomaly detection and clustering‐ based identification method for consumer–transformer relationship and associated phase in low‐voltage distribution systems,” Energy Conversion and Economics, 2022., https://doi.org/10.1049/enc2.12073

Research Interests:
– Application of WAMS/PMU & Big Data Technology in Power System Situational Awareness for Event Detection & Preventive Control
– Applications of Artificial Inelegance (AI) in Power System Situational Awareness & Blackout Prevention
– Fault Diagnosis & Power System Restoration Strategies
– Electricity Market
– Applications of Artificial Inelegance (AI) in Energy Management System
– Load Forecasting Strategies for Active Distribution Network Restoration to Enhance Grid Resilience
– Probabilistic Reliability Modeling in Modern Power Systems
– Probabilistic Risk Assessment in Modern Power Systems
– Smart Grid Technologies
– Applications of Renewable Energy Resources in Power System Restoration for Gird Resilience Enhancement

Ph.D Thesis Title
– Sequential and Parallel Restoration of Power Systems Based on Advanced Optimization Approaches Future Research Articles
– Smart Gird Restoration (SGR) based Strategy to Enhance Grid Resilience
– Optimal Placement of PV Generation and Battery Storage for Power System Restoration to Enhance Grid Resilience
– Two-stage MILP Model based Adaptive Decision Making Strategy for Parallel Power System Restoration

Simulation Tools & Trainings:
– MATLAB
– PSS/E
– PSS®SINCAL
– PYTHON
– Origin
– Proteus
– SPSS Statistics