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Muhammad Adnan

Muhammad Adnan

Associate Professor
  • Department Of Computer Engineering
  • m.adnan@nu.edu.pk
  • (041) 111-128-128
  • Ext: 132

Introduction

  • Date of Joining:
  • Number of Students Supervised (BS/MS/PhD):
  • H-Index:
  • Google Scholar Citations:
  • 01/01/2020
  • 26
  • 18
  • 1505

Muhammad Adnan received his B.S. degree in Electrical Engineering from the National University of Computer and Emerging Sciences (NUCES), Peshawar, Pakistan, in 2013, and his M.S. degree in Electrical Engineering from COMSATS Institute of Information Technology, Islamabad, Pakistan, in 2015. He had completed his Ph.D. in Electrical Engineering from NUCES, Peshawar, where he also served as a Research Fellow in the Department of Electrical Engineering from January 2017 to December 2019. Currently, he is serving as an Assistant Professor and head of the Department of Computer Engineering at FAST-NUCES, Chiniot-Faisalabad Campus. His core research areas include energy management systems, load flow balancing, load forecasting, power system dynamics, protection and stability, and intelligent control of renewable energy systems using fuzzy logic and unified power flow controllers. In addition to his work in classical power systems, Dr. Adnan has expanded his research into Machine Learning and Deep Learning applications in smart grid analytics, demand-side management, and fault detection. He is actively exploring the integration of Digital Twin technologies for real-time simulation and control of complex energy infrastructures. Dr. Adnan is also engaged in emerging interdisciplinary domains such as the Metaverse and Blockchain, particularly their roles in decentralized energy trading, virtual power plant simulations, and secure, transparent energy transactions. His multidisciplinary approach aims to bridge traditional electrical engineering with cutting-edge technologies to foster sustainable, intelligent, and secure energy systems of the future.

Education

  • PhD (Electrical Engineering), 2020 FAST, NUCES, Peshawar Campus (Pakistan)
  • MS (Electrical Engineering), 2015 COMSATS University, Islamabad (Pakistan)
  • BS (Electrical Engineering), 2013 FAST, NUCES, Peshawar Campus (Pakistan)

Publications

JOURNAL PUBLICATIONS

1. Atif, U. Abbasi, M. Adnan, M. S. Iqbal, and M. Irfan, “Incipient bearing fault diagnosis in induction motors under variable loads using vibration signal-based machine learning,” Authorea Preprints, Apr. 2025. doi: 10.22541/au.174595439.95152184/v1.

2. Ghias, A. Rehman, M. Adnan, A. Zulfiqar, M. S. Iqbal, and I. Ahmad, “Smart energy future: Enhancing grid reliability and transforming ev charging through hybrid g2v–v2g energy management control strategies,” Available at SSRN 522267, 2025.

3. S. Iqbal, S. Munawar, M. Adnan, and S. E. G. Mohamed, “An efficient approach for electricity theft detection based on transfer learning in temporal sequence,” Results in Engineering, vol. 26, p. 105 125, 2025, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2025.105125.

4. I. Ishaq, M. Adnan, M. A. Akbar, A. Bermak, N. Saeed, and M. Ansar, “A hybrid ai approach for fault detection in induction motors under dynamic speed and load operations,” IEEE Access, pp. 1–1, 2025. doi: 10.1109/ACCESS.2025.3574017.

5. Raza, M. Liaqat, S. Iqbal, and M. Adnan, “Strategic analysis of futuristic saarc super smart grid: A pestel-swot framework,” Authorea Preprints, Apr. 2025. doi: 10.22541/au.174595439.99623015/v1.

6. Zahid, A. Zulfiqar, M. Adnan, M. S. Iqbal, A. Shah, and S. E. G. Mohamed, “Global renewable energy transition: A multidisciplinary analysis of emerging computing technologies, socio-economic impacts, and policy imperatives,” Results in Engineering, vol. 26, p. 105 258, 2025, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2025.105258.

7. Fida, U. Abbasi, M. Adnan, S. Iqbal, S. E. Gasim, et al., “Integration of digital twin, blockchain, artificial intelligence in an iot metaverse environment for mitigation and assessment of cascading failure events in smart grids: Recent advancement and future research challenges,”.

8. Liaqat, T. Alsuwian, A. A. Amin, M. Adnan, and A. Zulfiqar, “Transient stability enhancement in renewable energy integrated multi-microgrids: A comprehensive and critical analysis,” Measurement and Control, vol. 0, no. 0, p. 00 202 940 231 196 193, 0. doi: 10.1177/00202940231196193. eprint: https://doi.org/10.1177/00202940231196193.

9. Ahmad, M. Ahmad, F. Hayat, S. ud Din, M. Adnan, and A. A. Amin, “Modified triple modular redundancy based fault-tolerant three-phase matrix converter design with ai driven diagnostic capabilities,” Results in Engineering, vol. 25, p. 104 454, 2025, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2025.104454.

10. Ahmed, M. Adnan, and W. Hassan, “A bidirectional interactive electric vehicles pv grid connected framework for vehicle-to-grid and grid-to-vehicle stability enhancement using hybrid control strategies,” Computers and Electrical Engineering, vol. 122, p. 109 983, 2025, issn: 0045-7906. doi: https://doi.org/10.1016/j.compeleceng.2024.109983.

11. S. Iqbal and M. Adnan, “Edge computing and transfer learning-based short-term load forecasting for residential and commercial buildings,” Energy and Buildings, vol. 329, p. 115 273, 2025, issn: 0378-7788. doi: https://doi.org/10.1016/j.enbuild.2025.115273.

12. S. Iqbal, S. Munawar, M. Adnan, A. Raza, M. A. Akbar, and A. Bermak, “A critical review of technical case studies for electricity theft detection in smart grids: A new paradigm based transformative approach,” Energy Conversion and Management: X, vol. 26, p. 100 965, 2025, issn: 2590-1745. doi: https://doi.org/10.1016/j.ecmx.2025.100965.

13. Adnan, M. S. Iqbal, S. J. Siddiqi, et al., “Modeling the future: Mathematical insights for smart grid 3.0,” Computers and Electrical Engineering, vol. 123, p. 110 283, 2025, issn: 0045-7906. doi: https://doi.org/10.1016/j.compeleceng.2025.110283.

14. A. Naeem, X. Fang, M. Adnan, A. Raza, S. Iqbal, and F. Ahmad, “Expert and intelligent vaccine supply chain management for a health care system: A comprehensive survey,” Authorea Preprints, 2025.

15. Waseem, M. Adnan, M. S. Iqbal, A. A. Amin, and A. Shah, “Expert and intelligent systems for robotic manipulators control: A comprehensive review,” Authorea Preprints, 2025.

16. Zahid, A. Zulfiqar, M. Adnan, M. S. Iqbal, and A. Shah, “Transforming nano grids to smart grid 3.0: Ai, digital twins, blockchain, and the metaverse revolutionizing the energy ecosystem,” Authorea Preprints, 2025.

17. Zahid, A. Zulfiqar, M. Adnan, S. Iqbal, and S. E. G. Mohamed, “A review on socio-technical transition pathway to european super smart grid: Trends, challenges and way forward via enabling technologies,” Results in Engineering, vol. 25, p. 104 155, 2025, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2025.104155.

18. Ahmed, M. Adnan, S. Iqbal, A. Raza, W. Hassan, and S. E. G. Mohamed, “A survey of challenges and potential of implementing a resilient network for pakistan’s electric power infrastructure to avoid blackouts,” Results in Engineering, vol. 24, p. 103 004, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024.103004.

19. Ali, A. Shah, M. Niaz, M. Mansoord, S. Ullah, and M. Adnan, “A fusion-driven approach of attention-based cnn-bilstm for protein family classification–profamnet,” arXiv preprint arXiv:2410.17293, 2024.

20. Fida, U. Abbasi, M. Adnan, M. S. Iqbal, H. Zahid, and S. E. G. Mohamed, “A comprehensive survey on 100% renewable energy transition roadmap for global decarbonization: A story told so far,” Engineering Archive, 2024.

21. Fida, U. Abbasi, M. Adnan, S. Iqbal, and S. E. Gasim Mohamed, “A comprehensive survey on load forecasting hybrid models: Navigating the futuristic demand response patterns through experts and intelligent systems,” Results in Engineering, vol. 23, p. 102 773, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024.102773.

22. Hayat, M. Adnan, S. Iqbal, and S. E. Gasim Mohamed, “Aperiodic small signal stability method for detection and mitigation of cascading failures in smart grids,” Results in Engineering, vol. 23, p. 102 661, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024.102661.

23. U. Huda, I. Ahmed, M. Adnan, M. Ali, and F. Naeem, “Experts and intelligent systems for smart homes’ transformation to sustainable smart cities: A comprehensive review,” Expert Systems with Applications, vol. 238, p. 122 380, 2024, issn: 0957-4174. doi: https://doi.org/10.1016/j.eswa.2023.122380.

24. S. Iqbal and M. Adnan, “Epi-research: A new way of an innovative subconscious thinking research approach to unlock research mysteries of the universe,” Research Gate Preprint, 2024.

25. S. Iqbal, M. Adnan, S. E. G. Mohamed, and M. Tariq, “A hybrid deep learning framework for short-term load forecasting with improved data cleansing and preprocessing techniques,” Results in Engineering, p. 103 560, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024.103560.

26. Liaqat, M. Adnan, M. Ahmad, M. S. Iqbal, F. Ahmad, and S. ud Din, “Hybrid multi-criteria decision framework for prosumers energy storage systems in smart grids,” Engineering Archive, 2024.

27. Liaqat, M. Adnan, M. Ahmad, M. S. Iqbal, F. Ahmad, and S. Ud Din, “Hybrid multi-criteria decision framework for prosumers energy storage systems in smart grids,” IEEE Access, vol. 12, pp. 188 046–188 071, 2024. doi: 10.1109/ACCESS.2024.3514698.

28. Adnan, I. Ahmed, and S. Iqbal, “Load flow balancing in super smart grids: A review of technical challenges, possible solutions and future trends from european prospective,” Computers and Electrical Engineering, vol. 117, p. 109 265, 2024, issn: 0045-7906. doi: https://doi.org/10.1016/j.compeleceng.2024.109265.

29. Adnan, I. Ahmed, S. Iqbal, M. R. Fazal, S. J. Siddiqi, and M. Tariq, “Exploring the convergence of metaverse, blockchain, artificial intelligence, and digital twin for pioneering the digitization in the envision smart grid 3.0,” Computers and Electrical Engineering, vol. 120, p. 109 709, 2024, issn: 0045-7906. doi: https://doi.org/10.1016/j.compeleceng.2024.109709.

30. Adnan. et.al., “Smart grid 3.0: Navigating the future-unleashing the power of metaverse, blockchain, and digital twins in the evolution of smart grids,” Blockchain, and Digital Twins in the Evolution of Smart Grids (Janauary 20, 2024), 2024.

31. Munawar, M. S. Iqbal, M. Adnan, M. A. Akbar, and A. Bermak, “A critical review of technical case studies for electricity theft detection in smart grids: A new paradigm based transformative approach,” Authorea Preprints, 2024.

32. Munawar, M. S. Iqbal, M. Adnan, M. Ali Akbar, and A. Bermak, “Multilevel inverters design, topologies, and applications: Research issues, current, and future directions,” IEEE Access, vol. 12, pp. 149 320–149 350, 2024. doi: 10.1109/ACCESS.2024.3472752.

33. Naeem, M. Adnan, and S. Iqbal, “Expert and intelligent systems for assessment and mitigation of cascading failures in smart grids: Research challenges and survey,” Engineering Archive, 2024.

34. Raza, L. Jingzhao, Y. Ghadi, M. Adnan, and M. Ali, “Smart home energy management systems: Research challenges and survey,” Alexandria Engineering Journal, vol. 92, pp. 117–170, 2024, issn: 1110-0168. doi: https://doi.org/10.1016/j.aej.2024.02.033.

35. Raza, L. Jingzhao, M. Adnan, and I. Ahmad, “Optimal load forecasting and scheduling strategies for smart homes peer-to-peer energy networks: A comprehensive survey with critical simulation analysis,” Results in Engineering, vol. 22, p. 102 188, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024.102188.

36. Raza, L. Jingzhao, M. Adnan, and M. S. Iqbal, “Transforming smart homes via p2p energy trading using robust forecasting and scheduling framework,” Results in Engineering, vol. 23, p. 102 766, 2024, issn: 2590-1230. doi: https://doi.org/10.1016/j.rineng.2024.102766.

37. Raza, M. Liaqat, M. Adnan, M. S. Iqbal, L. Jingzhao, and I. Ahmad, “Saarc super smart grid: Navigating the future – unleashing the power of an energy-efficient integration of renewable energy resources in the saarc region,” Computers and Electrical Engineering, vol. 118, p. 109 405, 2024, issn: 0045-7906. doi: https://doi.org/10.1016/j.compeleceng.2024.109405.

38. Shah, A. Ahmad, W. S. A. S. Alnumay, M. Adnan, S. Anwer, and Q. U. Zaman, “A comprehensive survey on the convergence of blockchain, digital twins, and metaverse: Shaping the future of cybersecurity frameworks,” Digital Twins, And Metaverse: Shaping the Future of Cybersecurity Frameworks, 2024.

39. Wahab, A. Shah, I. Khan, B. Ali, and M. Adnan, “An sdn-based hybrid-dl-driven cognitive intrusion detection system for iot ecosystem,” Computers and Electrical Engineering, vol. 119, p. 109 545, 2024, issn: 0045-7906. doi: https://doi.org/10.1016/j.compeleceng.2024.109545.

40. Zahid, A. Zulfiqar, M. Adnan, M. S. Iqbal, A. Shah, and K. Fida, “Global renewable energy transition: A multidisciplinary analysis of emerging computing technologies, socio-economic impacts, and policy imperatives,” Engineering Archive, 2024.

41. Zahid, A. Zulfiqar, M. Adnan, S. Iqbal, and S. E. G. Mohamed, “A review on socio-technical transition pathway to european super smart grid: Trends, challenges and way forward via enabling technologies,” Engineering Archive, 2024.

42. Adnan, Y. Ghadi, I. Ahmed, and M. Ali, “Transmission network planning in super smart grids: A survey,” IEEE Access, pp. 1–1, 2023. doi: 10.1109/ACCESS.2023.3296152.

43. Ahmad, T. M. Alsuwian, A. A. Amin, M. Adnan, and M. B. Qadir, “Design of advanced fault-tolerant control system for three-phase matrix converter using artificial neural networks,” IEEE Access, vol. 11, pp. 111 506–111 524, 2023. doi: 10.1109/ACCESS.2023.3320937.

44. Ahmad, Y. G. Ghadi, M. Adnan, and M. Ali, “From smart grids to super smart grids: A roadmap for strategic demand management for next generation saarc and european power infrastructure,” IEEE Access, vol. 11, pp. 12 303–12 341, 2023. doi: 10.1109/ACCESS.2023.3241686.

45. Ahmed, M. Adnan, M. Ali, and G. Kaddoum, “Supertwisting sliding mode controller for grid-to-vehicle and vehicle-to-grid battery electric vehicle charger,” Journal of Energy Storage, vol. 70, p. 107 914, 2023, issn: 2352-152X. doi: https://doi.org/10.1016/j.est.2023.107914.

46. Ali, K. Kaur, M. Adnan, and S. Nisar, “Adaptive fuzzy controller based early detection and prevention of asymmetrical faults in power systems,” Control Engineering Practice, vol. 130, p. 105 380, 2023, issn: 0967-0661. doi: https://doi.org/10.1016/j.conengprac.2022.105380.

47. Ali, F. Naeem, N. Adam, G. Kaddoum, M. Adnan, M. Tariq, et al., “Integration of data driven technologies in smart grids for resilient and sustainable smart cities: A comprehensive review,” arXiv preprint arXiv:2301.08814, 2023.

48. Y. Ghadi, M. S. Iqbal, Adnan, M., K. Amjad, I. Ahmad, and U. Farooq, “An improved artificial neural network-based approach for total harmonic distortion reduction in cascaded h-bridge multilevel inverters,” IEEE Access, vol. 11, pp. 127 348–127 363, 2023. doi: 10.1109/ACCESS.2023.3332245.

49. Ahmad, M. Adnan, A. A. Amin, and M. G. Khan, “A comprehensive review of fault diagnosis and fault-tolerant control techniques for modular multi-level converters,” Science Progress, vol. 105, no. 3, p. 00 368 504 221 118 965, 2022, PMID: 35975593. doi: 10.1177/00368504221118965. eprint: https://doi.org/10.1177/00368504221118965.

50. Ahmad, Y. Ghadi, M. Adnan, and M. Ali, “Load forecasting techniques for power system: Research challenges and survey,” IEEE Access, vol. 10, pp. 71 054–71 090, 2022. doi: 10.1109/ACCESS.2022.3187839.

51. Ahmed Amin, M. Yaseen, M. Gufran Khan, M. Adnan, A. Mughees, and M. Mukhtar, “Development of high voltage DC power supply from tesla coil using hybrid energy sources,” en, Recent Adv. Electr. Electron. Eng. (Former. Recent Pat. Electr. Electron. Eng.), vol. 15, no. 5, pp. 410–420, Aug. 2022.

52. Alsuwian, A. Basit, A. A. Amin, M. Adnan, and M. Ali, “An optimal control approach for enhancing transients stability and resilience in super smart grids,” Electronics, vol. 11, no. 19, 2022, issn: 2079-9292. doi: 10.3390/electronics11193236.

53. Batool, N. ul Ain, A. A. Amin, M. Adnan, and M. H. Shahbaz, “A comparative study of dc servo motor parameter estimation using various techniques,” Automatika, vol. 63, no. 2, pp. 303–312, 2022. doi: 10.1080/00051144.2022.2036935. eprint: https://doi.org/10.1080/00051144.2022.2036935.

54. Irfan, M. G. Khan, A. A. Amin, S. A. Mohsin, M. Adnan, and A. Zulfiqar, “Model-Based design, HIL testing, and rapid control prototyping of a low-cost POC quadcopter with stability analysis and control,” en, Complexity, vol. 2022, pp. 1–16, Mar. 2022.

55. G. Khan, Salma, M. Saeed, A. Zulfiqar, Y. Y. Ghadi, and M. Adnan, “A novel deep learning based anpr pipeline for vehicle access control,” IEEE Access, vol. 10, pp. 64 172–64 184, 2022. doi: 10.1109/ACCESS.2022.3183101.

56. Liaqat, Y. Ghadi, and M. Adnan, “Multi-objective optimal power sharing model for futuristic saarc super smart grids,” IEEE Access, vol. 10, pp. 328–351, 2022. doi: 10.1109/ACCESS.2021.3137592.

57. Liaqat, Y. Y. Ghadi, M. Adnan, and M. R. Fazal, “Multicriteria evaluation of portable energy storage technologies for electric vehicles,” IEEE Access, vol. 10, pp. 64 890–64 903, 2022. doi: 10.1109/ACCESS.2022.3183105.

58. Ali, M. Adnan, M. Tariq, and H. V. Poor, “Load forecasting through estimated parametrized based fuzzy inference system in smart grids,” IEEE Transactions on Fuzzy Systems, vol. 29, no. 1, pp. 156–165, 2021. doi: 10.1109/TFUZZ.2020.2986982.

59. Liaqat, M. G. Khan, M. R. Fazal, Y. Ghadi, and M. Adnan, “Multi-criteria storage selection model for grid-connected photovoltaics systems,” IEEE Access, vol. 9, pp. 115 506–115 522, 2021. 10.1109/ACCESS.2021.3105592.

60. Adnan, M. G. Khan, A. A. Amin, M. R. Fazal, W.-S. Tan, and M. Ali, “Cascading failures assessment in renewable integrated power grids under multiple faults contingencies,” IEEE Access, vol. 9, pp. 82 272–82 287, 2021. doi: 10.1109/ACCESS.2021.3087195.

61. Naz, Z. Wajid, A. A. Amin, et al., “Pid tuning with reference tracking and plant uncertainty along with disturbance rejection,” Systems Science & Control Engineering, vol. 9, no. 1, pp. 160–166, 2021. doi: 10.1080/21642583.2021.1888817. eprint: https://doi.org/10.1080/21642583.2021.1888817.

62. Shahbaz, K. Amjad, N. Ahmad, et al., “A streamlined 17-level cascaded h-bridge multilevel converter with solar pv integration,” Bulletin of Electrical Engineering and Informatics, vol. 10, 2021.

63. Adnan and M. Tariq, “Cascading overload failure analysis in renewable integrated power grids,” Reliability Engineering System Safety, vol. 198, p. 106 887, 2020, issn: 0951-8320. doi: https://doi.org/10.1016/j.ress.2020.106887.

64. Tariq, M. Adnan, G. Srivastava, and H. V. Poor, “Instability detection and prevention in smart grids under asymmetric faults,” IEEE Transactions on Industry Applications, vol. 56, no. 4, pp. 4510–4520, 2020. doi: 10.1109/TIA.2020.2964594.

65. Yousaf, A. Mughees, M. G. Khan, A. A. Amin, and M. Adnan, “A comparative analysis of various controller techniques for optimal control of smart nano-grid using ga and pso algorithms,” IEEE Access, vol. 8, pp. 205 696–205 711, 2020. doi: 10.1109/ACCESS.2020.3038021.

66. Ali, M. Adnan, and M. Tariq, “Optimum control strategies for short term load forecasting in smart grids,” International Journal of Electrical Power Energy Systems, vol. 113, pp. 792–806, 2019, issn: 0142-0615. doi: https://doi.org/10.1016/j.ijepes.2019.06.010.

67. Adnan, M. Ali, A. Basalamah, and M. Tariq, “Preventing cascading failure through fuzzy co-operative control mechanism using v2g,” IEEE Access, vol. 7, pp. 142 607–142 622, 2019. doi: 10.1109/ACCESS.2019.2944848.

68. Adnan, M. Tariq, Z. Zhou, and H. V. Poor, “Load flow balancing and transient stability analysis in renewable integrated power grids,” International Journal of Electrical Power Energy Systems, vol. 104, pp. 744–771, 2019, issn: 0142-0615. doi: https://doi.org/10.1016/j.ijepes.2018.06.037.

69. Adnan, M., A. Israr, N. Khan, and M. Irfan, “A generic scenario of a load flow study in saarc countries super grid using high voltage alternating current (hvac) and high voltage direct current (hvdc),” Int. J. Sci. Eng. Res, vol. 7, pp. 210–223, 2016.

70. Waqar and N. Khan, “M. Adnan, w. khalid, and mr fazal,” transient stability improvisation in power system by utilizing the concepts of upfc, statcom and sssc,”” International Journal of Scientific & Engineering Research, vol. 7, pp. 841–869, 2016.

71. Adnan, A. Israr, A. Khan, and M. Irfan, “A load flow study in european super grid using high voltage alternating current (hvac) high voltage direct current (hvdc) and flexible ac transmission system (facts),” Int J Sci Eng Res, vol. 6, 2015

 

CONFERENCE PUBLICATIONS

1) A. Ahsan, M. S. Iqbal, M. Ahmar, M. Adnan, M. A. Akbar, and A. Bermak, “Edge computing based early yellow rust disease detection in wheat plants,” in 2024 International Conference on Microelectronics (ICM), 2024, pp. 1–6.  doi: 10.1109/ICM63406.2024.10815846.

2) M. Adnan, M. Ali, & M. Tariq, (2019, December). A Probabilistic Approach for Power Network Stability in Smart Grids. In 2019 15th International Conference on Emerging Technologies (ICET) (pp. 8138-8143). IEEE.

3) M. Tariq, M. Adnan, “Stabilizing super smart grids using V2G: A probabilistic analysis”, in 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring) (pp. 1-5). IEEE.

Collaborations at National and International Level

Collaborations with International Experts

• Prof. Dr. H. Vincent Poor: Princeton University, USA

• Prof. Dr. Inam Ullah: Gachon University, Seongnam 13120, Republic of Korea.

• Prof. Dr. Gautam Srivastava: Brandon University, Canada.

• Prof. Dr. Zhenyu Zhou: North China Electric Power University.

• Prof. Dr. Anas Basalamah: Umm Al Qura University.

• Prof. Dr. Faisal Naeem: University of the Fraser Valley, Abbotsford, British Columbia.

 

Collaborations with National Experts

Prof. Dr. Muhammad Tariq, FAST, NUCES, Islamabad Campus

Prof. Dr. Iftikhar Ahmad, NUST, Islamabad

Detail of Funded Projects

Co-PI, Project worth 1.5 million PKR

Funded By: National University of Computer and Emerging Sciences – FAST faculty research support grant program (FRSG), Pakistan

Project Title: From Smart Grids to Super Smart Grids: A Roadmap for Optimal Demand Response Management and CO2 Emissions Control in Futuristic SAARC Super Smart Grids

Project Theme: The major problems in the power system network of the South Asian Association for Regional Cooperation (SAARC) region include the utilization of substantial fossil fuels, which leads to significant emission of CO2. Moreover, due to the depletion of fossil fuels, it is very difficult to manage the demand requirement of SAARC regions, which leads to significant power shortage issues. These problems would be resolved through the integration of the substantial amount of renewable energy resources (RERs) that are available in excess in SAARC regions into the power system networks. This will provide a futuristic roadmap to sustainable and green energy environment in SAARC region.

 

 

 

Co-PI, Project worth 1.5 million PKR

Funded By: National University of Computer and Emerging Sciences – FAST faculty research support grant program (FRSG), Pakistan

Project Title: Optimal Control Strategies for Energy Management in Futuristic Renewable Integrated Power Grids: A Road Map to Sustainable and Smart European Power Infrastructure Project

Theme: Policies aim to increase the penetration of renewable energy resources (RERs) to minimize the dependence on fossil fuels, has compelled different countries to devise their diverse blueprints by transforming smart grids infrastructure into futuristic grids or super smart grids (SSGs). Europe is taking the lead by developing SSGs by 2050, based on two exclusive alternatives in the form of a large network region and employing several RERs for distributed power generation. Critically assessing tensions in balancing load flow associated with RERs is a complicated task in SSGs. To solve this concern, the advanced probabilistic model will be adopted in this research work to observe the variations in demand and response profiles and mitigate it through transmission network planning using a super smart node transmission network topology (SSN). Finally, this project will also provide a comprehensive overview of technical challenges in SSGs in terms of power flow control and load flow balancing, their possible solutions, and future prospects.

 

Co-PI, Project worth 1.2 million PKR

Funded By: National University of Computer and Emerging Sciences – FAST faculty research support grant program (FRSG), Pakistan

Project Title: A Novel Artificial Neural Network Based Multilevel Invertor Design for Hybrid PV Energy Systems

Project Theme: The integration of renewable energy resources leads to the increased level of total harmonic distortion (THD) in the current power system. Therefore, many research efforts are conducted in the literature to reduce the THD levels by proposing multi-level inverters (MLIs) with specific voltage ratios of input DC sources by using different number of switches. However, the issue of high THD levels of multi-level inverters at industrial and inductive loads still needs to be addressed. Therefore, this research work is focused on further reducing the THD levels of the MLIs at industrial loads by using a novel topology with reduced switch count consisting of three DC voltage sources with 1:2:4.

 

PI, Project worth 0.9 million PKR

Funded By: National University of Computer and Emerging Sciences – FAST faculty research support grant program (FRSG), Pakistan

Project Title: Designing of a reliable and resilient framework: A roadmap to next generation sustainable solutions for Pakistan electrical power infrastructure

Project Theme: Due to Pakistan fragile electrical power infrastructure, any unexpected event, i.e., technical fault causes severe damage to power grids that can lead to a complete blackout. Therefore, designing a resilient and reliable power system network is an inevitable requirement for Pakistan electrical power infrastructure. This research project investigates the effect of these unexpected events on the power system network and proposed a valuable solution for it based on the recent blackouts occurred in Pakistan electrical power infrastructure