Projects per year
Personal profile
Research interests
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Learning-based methods for channel estimation and data recovery
Ali, A. (PI), Muqaibel, A. (CoI) & Iqbal, N. (CoI)
1/01/24 → 31/12/24
Project: Research
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Fast DAS Passive Seismic Data Processing/Monitoring using Deep Learning Models
Iqbal, N. (PI)
1/06/22 → 1/08/22
Project: Research
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FLOW PRODUCTION MONITORING USING CONDITIONING SIGNAL PROCESSING AND MACHINE LEARNING TECHNIQUES
Ali, A. (PI), Iqbal, N. (CoI) & Al-Shaikhi, A. (CoI)
1/10/21 → 1/05/23
Project: Research
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An End-to-End Framework for Robust Acquisition and Processing of Seismic Data Using Compressed Sensing and Deep Learning
Masood, M. (PI), Alfarraj, M. (CoI), Deriche, M. (CoI), Iqbal, N. (CoI), Mahmoud, S. (CoI) & Mohandes, M. (CoI)
1/07/21 → 1/07/23
Project: Research
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Design, Analysis, and Optimization of the q-Normalized Least Mean Squares Algorithm and its application on real-time Signal Processing via DSP KIT
Iqbal, N. (CoI) & Ali, A. (PI)
1/04/20 → 1/10/21
Project: Research
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Accuracy of Compact mmWave Radar Sensor for Vital Signs monitoring
Sheikh, F., Ushaq, H., Ali, H. & Iqbal, N., 2024, 2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), INC-USNC-URSI 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 233-234 2 p. (2024 IEEE INC-USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), INC-USNC-URSI 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Novel PCA-Based Slug Flow Characterization Using Acoustic Sensing
Lawal, A., Iqbal, N., Zerguine, A., Noui-Mehidi, M. N., Zeghlache, M. L. & Al-Shaikhi, A. A., 2024, In: IEEE Access. 12, p. 42849-42859 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Comparative Study of Deep Learning and Machine Learning Techniques for Corrosion and Cracks Detection in Nuclear Power Plants
Allah, M. A. A., Shams, A., Toor, I. U. H. & Iqbal, N., 2024, Challenges and Recent Advancements in Nuclear Energy Systems - Proceedings of Saudi International Conference on Nuclear Power Engineering SCOPE. Shams, A., Al-Athel, K., Tiselj, I., Pautz, A. & Kwiatkowski, T. (eds.). Springer Science and Business Media Deutschland GmbH, p. 279-287 9 p. (Lecture Notes in Mechanical Engineering).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep learning assisted InAs/InP quantum-dash laser structured light modes detection under foggy channel
Ragheb, A. M., Masood, M., Saif, W., Iqbal, N., Esmail, M. A., Almaiman, A., Fathallah, H., Alshebeili, S. & Khan, M. Z. M., 15 Jul 2024, In: Optics Communications. 563, 130579.Research output: Contribution to journal › Article › peer-review
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L-band InAs/InP quantum dash laser spatial OAM light modes classification under smoke environment: An image processing enhanced deep learning approach
Khan, M. Z. M., Ragheb, A. M., Masood, M., Saif, W., Esmail, M. A., Iqbal, N., Tareq, Q., Almaiman, A. S., Fathallah, H. & Alshebeili, S., Jan 2024, In: Optics and Laser Technology. 168, 109933.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations