Habib Ullah Manzoor

Email: h.manzoor.1@research.gla.ac.uk

Google Schoalr :https://scholar.google.com/citations?user=tKDhmdAAAAAJ&hl=en

linkedin: https://www.linkedin.com/in/habib-ullah-manzoor-19198994/

 

ORCID iDhttps://orcid.org/0000-0003-0192-7353

Research title: Leveraging AI for Backhaul Fault Detection in Self-Healing Mobile Networks

Research Summary

Habib Ullah Manzoor's diverse research portfolio spans an array of disciplines, illuminating his profound contributions to machine learning, AI, energy systems, and beyond. Through groundbreaking studies like "FedBranch: Leveraging Federated Learning for Anomaly-Aware Load Forecasting in Energy Networks," he pioneers the application of AI and federated learning for precise energy forecasting. His prowess extends to the optimization of solar cells, exemplified by "High conversion and quantum efficiency indium-rich p-InGaN/p-InGaN/n-InGaN solar cell." HAbi Ullah Manzoor delves into the intricate realm of electromechanics through works such as "Influence of corona discharge on hydrophobic behavior of nano/micro filler based silicone rubber insulators," delving into material science and electrical insulation. Furthermore, his insights into "Improved transmission length in the presence of ambient noise and scintillation effect using duobinary modulation in 40 Gbps free space optical channel" advance the frontiers of free space optics. Notably, his holistic understanding culminates in "Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection," manifesting his dedication to harnessing AI for energy efficiency. Habib Ullah Manzoor's multidisciplinary research illuminates the intersection of AI, energy networks, solar cells, electromechanics, and optics, leaving an indelible mark on technological advancement.

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022
Number of items: 24.

2024

Manzoor, H. U., Hussain, S. , Flynn, D. and Zoha, A. (2024) Centralised vs. decentralised federated load forecasting in smart buildings: who holds the key to adversarial attack robustness? Energy and Buildings, 324, 114871. (doi: 10.1016/j.enbuild.2024.114871)

Manzoor, H. U., Jafri, A. and Zoha, A. (2024) Adaptive single-layer aggregation framework for energy-efficient and privacy-preserving load forecasting in heterogeneous federated smart grids. Internet of Things, 28, 101376. (doi: 10.1016/j.iot.2024.101376)

Manzoor, H. U., Jamshed, M. A., Zoha, A. and Manzoor, S. (2024) Enhancing consumer privacy in federated load forecasting through single layer aggregation. IEEE Consumer Electronics Magazine, (doi: 10.1109/MCE.2024.3500579) (Early Online Publication)

Manzoor, H. U., Shabiar, A., Nguyen, D. C., Mohjazi, L. , Kaushik, A. and Zoha, A. (2024) Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting. In: 2024 IEEE Conference on Standards for Communications and Networking (CSCN), Belgrade, Serbia, 25-27 Nov 2024, (Accepted for Publication)

Manzoor, H. U., Shabbir, A., Chen, A., Flynn, D. and Zoha, A. (2024) A survey of security strategies in federated learning: defending models, data, and privacy. Future Internet, (Accepted for Publication)

Bhatti, S., Manzoor, H. U., Zoha, A. and Ghannam, R. (2024) Computational optimization for CIGS/CdS/GaAs layered solar cell architecture. Energies, 17(18), 4758. (doi: 10.3390/en17184758)

Raza, A., Manzoor, T., Iqbal, S., Anwar, T., Ashraf, A. and Manzoor, H. U. (2024) Finite element approach for rheological behavior in colloidal electrolytes in lithium-ion battery performance. ACS Omega, 9(33), pp. 35809-35820. (doi: 10.1021/acsomega.4c04445)

Manzoor, H. U., Manzoor, T., Hussain, S. , Manzoor, M. N. and Zoha, A. (2024) Swarm-optimized ZnO/CdS/CIGS/GaAs solar cells for enhanced efficiency and thermal resilience. Advanced Energy and Sustainability Research, (Accepted for Publication)

Basit, A., Manzoor, H. U., Akram, M., Gelani, H. E. and Hussain, S. (2024) Machine learning assisted anomaly detection for power line components: a case study in Pakistan. Journal of Engineering, 2024(7), e12405. (doi: 10.1049/tje2.12405)

Ashraf, A., Manzoor, T., Iqbal, S., Anwar, T., Farooq-i-Azam, M., Khan, Z. and Manzoor, H. U. (2024) Magnetic micro-fluidics in 3D microchannel at the micro-scale: unlocking nano-porous electrode potential for lithium-ion micro-batteries. Energy Storage, 6(4), e662. (doi: 10.1002/est2.662)

Anwar, T., Manzoor, T., Hussain, N., Shah, S. N., Perveen, S., Asif, S. U., Nosheen, F., Khan, A. J. and Manzoor, H. U. (2024) Antimony trisulfide with graphene oxide coated titania nanotube arrays as anode material for lithium-ion batteries. Journal of Inorganic and Organometallic Polymers and Materials, (doi: 10.1007/s10904-024-03135-y) (Early Online Publication)

Manzoor, T., Zahid, M.A., Manzoor, S., Hussaian, M., Azeem, F., Ahmed, U. and Manzoor, H. U. (2024) Analysis of shape memory alloys' strain energy absorption dampers: RTDM approach. Crystals, (Accepted for Publication)

Manzoor, H. U., Manzoor, S., Jamshed, M. A. and Manzoor, T. (2024) Leveraging InGaN solar cells for visible light communication reception. IET Networks, (doi: 10.1049/ntw2.12115) (Early Online Publication)

2023

Shabbir, A., Manzoor, H. U., Ahmed, R. A. and Halim, Z. (2023) Resilience of Federated Learning Against False Data Injection Attacks in Energy Forecasting. In: 2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST 2024), 17-19 January 2024, (Accepted for Publication)

Khan, A. R., Manzoor, H. U., Ayaz, F., Imran, M. A. and Zoha, A. (2023) A privacy and energy-aware federated framework for human activity recognition. Sensors, 23(23), 9339. (doi: 10.3390/s23239339) (PMID:38067712) (PMCID:PMC10708886)

Manzoor, H. U., Khan, A. R., Sher, T., Ahmad, W. and Zoha, A. (2023) Defending Federated Learning From Backdoor Attacks: Anomaly-Aware FedAVG With Layer-Based Aggregation. In: 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, ON, Canada, 05-08 Sep 2023, ISBN 9781665464833 (doi: 10.1109/PIMRC56721.2023.10293950)

Hafeez, S., Manzoor, H. U., Mohjazi, L. , Zoha, A. , Imran, M. A. and Sun, Y. (2023) Blockchain-Empowered Immutable and Reliable Delivery Service (BIRDS) Using UAV Networks. In: 2023 IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (IEEE CAMAD), Edinburgh, UK, 6–8 Nov 2023, (Accepted for Publication)

Bhatti, S., Manzoor, H. U., Michel, B., Bonilla, R. S., Abrams, R., Zoha, A. , Hussain, S. and Ghannam, R. (2023) Revolutionizing low-cost solar cells with machine learning: a systematic review of optimization techniques. Advanced Energy and Sustainability Research, 10(4), 2300004. (doi: 10.1002/aesr.202300004)

Manzoor, H. U., Khan, A. R., Flynn, D. , Alam, M. M., Akram, M., Imran, M. A. and Zoha, A. (2023) FedBranched: Leveraging federated learning for anomaly-aware load forecasting in energy networks. Sensors, 23(7), 3570. (doi: 10.3390/s23073570)

Khalid, A., Manzoor, H. U., Hussian, H. A. and Aly, M. H. (2023) Optimization of different TDM techniques in DWDM optical networks for FWM suppression. Optical and Quantum Electronics, 55(3), 206. (doi: 10.1007/s11082-022-04455-4)

2022

Manzoor, H. U., Khan, M. S., Khan, A. R., Ayaz, F., Flynn, D. , Imran, M. A. and Zoha, A. (2022) FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970909)

Tan, A.K., Manzoor, H. U., Hamzah, N.A., Ahmad, M.A., Ng, S.S. and Hassan, Z. (2022) Numerical simulation of homojunction p-i-n In0.4Ga0.6N solar cell with different absorber layer configurations. Optik, 271, 170095. (doi: 10.1016/j.ijleo.2022.170095)

Manzoor, H. U., Khan, A. R., Al-Quraan, M., Mohjazi, L. , Taha, A. , Abbas, H. , Hussain, S. , Imran, M. A. and Zoha, A. (2022) Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection. In: 4th Global Power, Energy and Communication Conference (GPECOM 2022), Cappadocia, Turkey, 14-17 June 2022, pp. 644-649. ISBN 9781665469258 (doi: 10.1109/GPECOM55404.2022.9815599)

Tahir, M. H., Arshad, A. and Manzoor, H. U. (2022) Influence of corona discharge on the hydrophobic behaviour of nano/micro filler based silicone rubber insulators. Materials Research Express, 9(3), 035302. (doi: 10.1088/2053-1591/ac5b04)

This list was generated on Thu Nov 21 09:30:02 2024 GMT.
Jump to: Articles | Conference Proceedings
Number of items: 24.

Articles

Manzoor, H. U., Hussain, S. , Flynn, D. and Zoha, A. (2024) Centralised vs. decentralised federated load forecasting in smart buildings: who holds the key to adversarial attack robustness? Energy and Buildings, 324, 114871. (doi: 10.1016/j.enbuild.2024.114871)

Manzoor, H. U., Jafri, A. and Zoha, A. (2024) Adaptive single-layer aggregation framework for energy-efficient and privacy-preserving load forecasting in heterogeneous federated smart grids. Internet of Things, 28, 101376. (doi: 10.1016/j.iot.2024.101376)

Manzoor, H. U., Jamshed, M. A., Zoha, A. and Manzoor, S. (2024) Enhancing consumer privacy in federated load forecasting through single layer aggregation. IEEE Consumer Electronics Magazine, (doi: 10.1109/MCE.2024.3500579) (Early Online Publication)

Manzoor, H. U., Shabbir, A., Chen, A., Flynn, D. and Zoha, A. (2024) A survey of security strategies in federated learning: defending models, data, and privacy. Future Internet, (Accepted for Publication)

Bhatti, S., Manzoor, H. U., Zoha, A. and Ghannam, R. (2024) Computational optimization for CIGS/CdS/GaAs layered solar cell architecture. Energies, 17(18), 4758. (doi: 10.3390/en17184758)

Raza, A., Manzoor, T., Iqbal, S., Anwar, T., Ashraf, A. and Manzoor, H. U. (2024) Finite element approach for rheological behavior in colloidal electrolytes in lithium-ion battery performance. ACS Omega, 9(33), pp. 35809-35820. (doi: 10.1021/acsomega.4c04445)

Manzoor, H. U., Manzoor, T., Hussain, S. , Manzoor, M. N. and Zoha, A. (2024) Swarm-optimized ZnO/CdS/CIGS/GaAs solar cells for enhanced efficiency and thermal resilience. Advanced Energy and Sustainability Research, (Accepted for Publication)

Basit, A., Manzoor, H. U., Akram, M., Gelani, H. E. and Hussain, S. (2024) Machine learning assisted anomaly detection for power line components: a case study in Pakistan. Journal of Engineering, 2024(7), e12405. (doi: 10.1049/tje2.12405)

Ashraf, A., Manzoor, T., Iqbal, S., Anwar, T., Farooq-i-Azam, M., Khan, Z. and Manzoor, H. U. (2024) Magnetic micro-fluidics in 3D microchannel at the micro-scale: unlocking nano-porous electrode potential for lithium-ion micro-batteries. Energy Storage, 6(4), e662. (doi: 10.1002/est2.662)

Anwar, T., Manzoor, T., Hussain, N., Shah, S. N., Perveen, S., Asif, S. U., Nosheen, F., Khan, A. J. and Manzoor, H. U. (2024) Antimony trisulfide with graphene oxide coated titania nanotube arrays as anode material for lithium-ion batteries. Journal of Inorganic and Organometallic Polymers and Materials, (doi: 10.1007/s10904-024-03135-y) (Early Online Publication)

Manzoor, T., Zahid, M.A., Manzoor, S., Hussaian, M., Azeem, F., Ahmed, U. and Manzoor, H. U. (2024) Analysis of shape memory alloys' strain energy absorption dampers: RTDM approach. Crystals, (Accepted for Publication)

Manzoor, H. U., Manzoor, S., Jamshed, M. A. and Manzoor, T. (2024) Leveraging InGaN solar cells for visible light communication reception. IET Networks, (doi: 10.1049/ntw2.12115) (Early Online Publication)

Khan, A. R., Manzoor, H. U., Ayaz, F., Imran, M. A. and Zoha, A. (2023) A privacy and energy-aware federated framework for human activity recognition. Sensors, 23(23), 9339. (doi: 10.3390/s23239339) (PMID:38067712) (PMCID:PMC10708886)

Bhatti, S., Manzoor, H. U., Michel, B., Bonilla, R. S., Abrams, R., Zoha, A. , Hussain, S. and Ghannam, R. (2023) Revolutionizing low-cost solar cells with machine learning: a systematic review of optimization techniques. Advanced Energy and Sustainability Research, 10(4), 2300004. (doi: 10.1002/aesr.202300004)

Manzoor, H. U., Khan, A. R., Flynn, D. , Alam, M. M., Akram, M., Imran, M. A. and Zoha, A. (2023) FedBranched: Leveraging federated learning for anomaly-aware load forecasting in energy networks. Sensors, 23(7), 3570. (doi: 10.3390/s23073570)

Khalid, A., Manzoor, H. U., Hussian, H. A. and Aly, M. H. (2023) Optimization of different TDM techniques in DWDM optical networks for FWM suppression. Optical and Quantum Electronics, 55(3), 206. (doi: 10.1007/s11082-022-04455-4)

Tan, A.K., Manzoor, H. U., Hamzah, N.A., Ahmad, M.A., Ng, S.S. and Hassan, Z. (2022) Numerical simulation of homojunction p-i-n In0.4Ga0.6N solar cell with different absorber layer configurations. Optik, 271, 170095. (doi: 10.1016/j.ijleo.2022.170095)

Tahir, M. H., Arshad, A. and Manzoor, H. U. (2022) Influence of corona discharge on the hydrophobic behaviour of nano/micro filler based silicone rubber insulators. Materials Research Express, 9(3), 035302. (doi: 10.1088/2053-1591/ac5b04)

Conference Proceedings

Manzoor, H. U., Shabiar, A., Nguyen, D. C., Mohjazi, L. , Kaushik, A. and Zoha, A. (2024) Rethinking Federated Learning: An Adversarial Perspective on Global vs. Local Learning for Load Forecasting. In: 2024 IEEE Conference on Standards for Communications and Networking (CSCN), Belgrade, Serbia, 25-27 Nov 2024, (Accepted for Publication)

Shabbir, A., Manzoor, H. U., Ahmed, R. A. and Halim, Z. (2023) Resilience of Federated Learning Against False Data Injection Attacks in Energy Forecasting. In: 2024 International Conference on Green Energy, Computing and Sustainable Technology (GECOST 2024), 17-19 January 2024, (Accepted for Publication)

Manzoor, H. U., Khan, A. R., Sher, T., Ahmad, W. and Zoha, A. (2023) Defending Federated Learning From Backdoor Attacks: Anomaly-Aware FedAVG With Layer-Based Aggregation. In: 2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Toronto, ON, Canada, 05-08 Sep 2023, ISBN 9781665464833 (doi: 10.1109/PIMRC56721.2023.10293950)

Hafeez, S., Manzoor, H. U., Mohjazi, L. , Zoha, A. , Imran, M. A. and Sun, Y. (2023) Blockchain-Empowered Immutable and Reliable Delivery Service (BIRDS) Using UAV Networks. In: 2023 IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (IEEE CAMAD), Edinburgh, UK, 6–8 Nov 2023, (Accepted for Publication)

Manzoor, H. U., Khan, M. S., Khan, A. R., Ayaz, F., Flynn, D. , Imran, M. A. and Zoha, A. (2022) FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, ISBN 9781665488235 (doi: 10.1109/ICECS202256217.2022.9970909)

Manzoor, H. U., Khan, A. R., Al-Quraan, M., Mohjazi, L. , Taha, A. , Abbas, H. , Hussain, S. , Imran, M. A. and Zoha, A. (2022) Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection. In: 4th Global Power, Energy and Communication Conference (GPECOM 2022), Cappadocia, Turkey, 14-17 June 2022, pp. 644-649. ISBN 9781665469258 (doi: 10.1109/GPECOM55404.2022.9815599)

This list was generated on Thu Nov 21 09:30:02 2024 GMT.

Supervisors

Grants

  • School Scholarship at the University of Glasgow, UK.
  • Graduate Assistantship at Ghulam Ishaq Khan Institute, Topi, Pakistan.

Conference

  1. Waqas, Sheik Aqib, Habib Ullah Manzoor, “Optimization of PV module through title angle in the different cities of Pakistan”, Accepted in IEEE Conference- INMIC 2020.
  2. U. Mazoor, M. Rehman, S. Manzoor, A. Aslam and T. Manzoor, "Improved FWM Efficiency for Already Deployed Bidirectional Fiber Optic Cable using Polarization Manipulation for Underwater Applications," 2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 2020, pp. 567-572.
  3. U. Abideen, A. Aslam, H. U. Manzoor, T. Manzoor and N. Bashir, "Cost Optimization of Off Grid Photovoltaic System by Increasing Conversion Efficiency," 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Swat, Pakistan, 2019, pp. 1-5.
  4. Younis, Rida, Amina Iqbal, Umer Farooq, Awais Iqbal, Habib Ullah Manzoor, Amir Mehmood, and Tareq Manzoor. "Techno-Economo-Environmental Viability Assessment of Grid-Connected Photovoltaic System-A Case for Different Cities of Pakistan." In 2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET), pp. 1-5. IEEE, 2018.
  5. ArooJ Aslam, Rutaba jamel, Habib Ullah Mnzoor “Line current and Circuit Breaker based Fault Current analysis of HVDC and HVAC Transmission Systems: A Comparative Study”, IFOST (IEEE) 2018 (Accepted).
  6. Manzoor, Habib Ullah, et al. "Reduction of Four Wave Mixing by employing circular polarizers in DWDM optical networks."Applied Sciences and Technology (IBCAST), 2015 12th International Bhurban Conference on. IEEE, 2015
  7. Ali, H. S., ul Hassan, F., Latif, S., Manzoor, H. U., & Qadir, J. (2021, June). Privacy Enhanced Speech Emotion Communication using Deep Learning Aided Edge Computing. In 2021 IEEE International Conference on Communications Workshops (ICC Workshops) (pp. 1-5). IEEE
  8. Manzoor, Habib Ullah, et al. "Energy Management in an Agile Workspace using AI-driven Forecasting and Anomaly Detection." 2022 4th Global Power, Energy and Communication Conference (GPECOM). IEEE, 2022.
  9. Manzoor, Habib Ullah, et al. "FedClamp: An Algorithm for Identification of Anomalous Client in Federated Learning." 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS). IEEE, 2022.
  10. Manzoor, Habib Ullah, et al. "Defending Federated Learning from Backdoor Attacks: Anomaly-Aware FedAVG with Layer-Based Aggregation" IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 2023.

Teaching

  • Lecturer (Sep 2016 ~ December 2021)

University of Engineering and Technology Lahore (FSD Campus), Pakistan

  • Taught “EMT” and “Analogue, Digital Devices”, Entrepreneurship and business management”, “Principles of Management”, “Circuit analysis and design” and “Instrumentation and Measurements”
  • Lab in charge of Digital Electronic Devices
  • Member of QEC (Quality Enhancement Cell) and departmental Health Committee
  • Maintaining course file (Outcome Based Education-CLOs-PLOs+ Attends+ Updated Marks of all Quizzes and Assignments+ quizzes, Mid paper, Final Paper solutions)

 

  • Lab Engineer & Research Assistant (Jan 2014 ~ Jan 2016)

Ghulam Ishaq Khan Institute, Topi, Pakistan

  • Taught “Circuits I-Lab” twice
  • Assisted in courses: circuits II and Electromagnetic Theory.
  • Preparations of Lab manuals
  • Maintaining course file (Outcome Based Education-CLOs-PLOs+ Attends+ Updated Marks of all Quizzes and Assignments+ quizzes, Mid paper, Final Paper solutions)
  • Uploading attends weekly, Making-Conducting and quiz checking.