Alam Noor is a researcher with the CISTER Research Centre, Porto, Portugal. His research interests include pattern recognition (computer vision), deep learning, and data processing for real-time applications.

Alam was a visiting lecturer in artificial intelligence for one semester in the Department of Computer Science and Information Technology at the Sarhad University of Science and Information Technology, Peshawar, Pakistan. Between February 2020 and December 2020, he worked as an AI researcher in the Robotics and Internet of Things Lab at Prince Sultan University in Riyadh, Saudi Arabia.

Alam has reported journal contributions to IEEE, Springer, Elsevier, and MDPI and conference papers in the deep learning field. He is also helping IEEE, Elsevier, and Springer Nature by volunteering to review articles.

Alam Noor got a B.S. degree in the field of electronics from the University of Peshawar, Pakistan, in December 2014. He got a Chinese government scholarship to study for his M.S. in Information and Communication Engineering at Harbin Institute of Technology (HIT) and did research in sheep facial expression using deep convolutional neural networks. He got his MS degree in July 2019 under the supervision of Professor Yaqin Zhao (Dean of Undergraduate College and Director of Education and Quality Management Division of Harbin Institute of Technology, China). He is a PhD candidate in the Faculty of Engineering at the University of Porto in Porto, Portugal, started in February 2021-July 2025, where he studies electrical and computer engineering.

1. Researcher at CISTER Research Center and ISEP/IPP, Porto, Portugal  (May 2021- Present)

2. Deep learning Researcher, Robotics and Internet of Things Lab, Prince Sultan University, Riyadh, KSA  (Feb 2020- Dec 2022)

3.  AI Visiting Lecturer, Sarhad University of Science and Information Technology, Pakistan (Oct 2019- Feb 2020)

Journals (Selected):

1. A. Noor, Kai Li, Eduardo Tovar, Pei Zhang, and Bo Wei, Fusion flow-enhanced graph pooling residual networks for Unmanned Aerial Vehicles surveillance in day and night dual visions, Engineering Applications of Artificial Intelligence, Volume 136, Part B, 2024, 108959, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2024.108959.

2. A. Noor, M. J. Corke, Eduardo Tovar, Sheep health behavior analysis in machine learning: A short comprehensive survey, Smart Agricultural Technology, Volume 6, 2023, 100366, ISSN 2772-3755, https://doi.org/10.1016/j.atech.2023.100366.

3. K. Li, W. Ni, X. Yuan, A. Noor and A. Jamalipour, "Deep-Graph-Based Reinforcement Learning for Joint Cruise Control and Task Offloading for Aerial Edge Internet of Things (EdgeIoT)," in IEEE Internet of Things Journal, vol. 9, no. 21, pp. 21676-21686, 1 Nov.1, 2022, doi: 10.1109/JIOT.2022.3182119.

4. K. Li, W. Ni, A. Noor and M. Guizani, "Employing Intelligent Aerial Data Aggregators for the Internet of Things: Challenges and Solutions," in IEEE Internet of Things Magazine, vol. 5, no. 1, pp. 136-141, March 2022, doi: 10.1109/IOTM.001.2100161.

5. Nagwa M. AboElenein, Songhao Piao, A. Noor, Pir Noman Ahmed, MIRAU-Net: An improved neural network based on U-Net for gliomas segmentation, Signal Processing: Image Communication, Volume 101, 2022, 116553, ISSN 0923-5965, https://doi.org/10.1016/j.image.2021.116553.

6. A. Noor, Yaqin Zhao, Anis Koubaa, Longwen Wu, Rahim Khan, Fakheraldin Y.O. Abdalla, Automated sheep facial expression classification using deep transfer learning, Computers and Electronics in Agriculture, Volume 175, 2020, 105528, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2020.105528.

7. A. Noor., Zhao, Y., Khan, R. et al. Median filters combined with denoising convolutional neural network for Gaussian and impulse noises. Multimed Tools Appl ,79, 18553–18568 (2020). https://doi.org/10.1007/s11042-020-08657-4.

8. Abdalla, F.Y.O., Wu, L., Ullah, H., Ren G., A Noor. et al. Deep convolutional neural network application to classify the ECG arrhythmia. SIViP 14, 1431–1439 (2020). https://doi.org/10.1007/s11760-020-01688-2 

Conference's

1.  Alam Noor, Luis Almeida, Mohamed Daoudi, Kai Li, Eduardo Tovar;  Sheep Facial Pain Assessment Under Weighted Graph Neural Networks; 19th IEEE International Conference on Automatic Face and Gesture Recognition, Clearwater, USA (FG 2025) Accepted*

2. Kai Li, Alam Noor, Wei Ni, Eduardo Tovar, Xiaoming Fu, Ozgur B Akan; Poisoning Federated Learning with Graph Neural Networks in Internet of Drones; IEEE International Conference on Computer Communications and Networks (ICCCN 2024) (ICCCN), Track 7: Security, Privacy, and Trust. Big Island, Hawaii, U.S.A

3. K. Li, W. Ni, X. Yuan, A. Noor and A. Jamalipour, "Exploring Graph Neural Networks for Joint Cruise Control and Task Offloading in UAV-enabled Mobile Edge Computing," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-6, doi: 10.1109/VTC2023-Spring57618.2023.10200966.

4. A. Noor, K. Li, A. Ammar, A. Koubaa, B. Benjdira and E. Tovar, "A Hybrid Deep Learning Model for UAVs Detection in Day and Night Dual Visions," 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI), 2021, pp. 221-231, doi: 10.1109/CogMI52975.2021.00037.

5. H. Ullah, Y. Zhao, L. Wu, A. Noor and L. Zhao, "Multi-modal Medical Image Fusion Technique to Improve Glioma Classification Accuracy," 2021 IEEE 6th International Conference on Signal and Image Processing (ICSIP), 2021, pp. 321-325, doi: 10.1109/ICSIP52628.2021.9689018.

6. R. Khan, Q. Yang, A. B. Tufail, Y. -K. Ma and A. Noor, "Binary Classification of Modulation Formats in the Presence of Noise through Convolutional Neural Networks," 2020 15th IEEE International Conference on Signal Processing (ICSP), 2020, pp. 386-390, doi: 10.1109/ICSP48669.2020.9321024.

7. A. Noor, B. Benjdira, A. Ammar and A. Koubaa, "DriftNet: Aggressive Driving Behaviour Detection using 3D Convolutional Neural Networks," 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH), 2020, pp. 214-219, doi: 10.1109/SMART-TECH49988.2020.00056.

Dataset: Sheep Facial Expression Primary Data-set, https://data.mendeley.com/datasets/y5sm4smnfr/5.

Awards

1. FEUP Research Grant, CISTER-PhD (May 2023- Present)

2. ISEP PhD Research Grant (2021-2023)

3. China Government Scholar (MS Research Scholar 2017-2019)

Volunteer Experience

Associate Editor

1.  Cureus Journal of Computer Science, Springer Nature

Program Committee Member

1. 15th IEEE International Conference on Security of Information and Networks (11-13 Nov 2022)

2.  MEDAL23: Advances in Deep Generative Models for Medical Artificial Intelligence

Web Chair

1. MobiArch 2024 to be held in conjunction with MobiCom 2024 Washington, D.C., USA

Reviewer

1. Scientific Reports Nature

2. China Communications (IEEE)

3. Internet of Things (IEEE)

4. IEEE Access

5. IEEE journal of biomedical and health informatics

6. Neural Networks (Elsevier)

7. Computer and Electronics in Agriculture (Elsevier)

8. AdHoc Networks (Elsevier)

9. VTC (2023-2024)

10. Journal of Cloud Computing (Springer Nature)

11. IWCMC 2023: AI for Autonomous Unmanned Systems Symposium - AAUSS

Membership

1.  IEEE Young Professionals (July 2021–December 2023) 

2. IEEE Computational Intelligence Society (July 2021–December 2023)

3.  IEEE Computer Society (July 2021–December 2023)

4. IEEE Consumer Technology Society (July 2021–December 2023)

Email: eng.alamnoor@gmail.com

Mail Address: CISTER Research Centre, ISEP - Instituto Superior de Engenharia do Porto, Rua Dr. António Bernardino de Almeida 431, 4249-015 Porto, Portugal

Lab Profile: https://www.cister.isep.ipp.pt/people/alam_noor/

Google Scholar: https://scholar.google.com/citations?user=8UDMJe8AAAAJ

LinkedIn: www.linkedin.com/in/alamnoor

ORCID: https://orcid.org/0000-0002-0077-6509

Web of Science: http://www.webofscience.com/wos/author/record/B-2353-2019