Dr. Ali Imran Sandhu

Dr. Ali Imran Sandhu
aliimran.sandhu@giki.edu.pk

Dr. Ali Imran Sandhu

Assistant Professor FCSE

Ali Imran Sandhu (Senior Member, IEEE) received the B.S. degree in electronics engineering from COMSATS University Islamabad (CUI), Lahore, Pakistan, in 2007, the M.S. degree in communication engineering from the Chalmers University of Technology, Gothenburg, Sweden, in 2010, and the Ph.D. degree in electrical engineering from the Division of Computer, Electrical, and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology, (KAUST), Thuwal, Saudi Arabia, in 2020.

Dr. Sandhu is a humble individual with 10+ years of interdisciplinary research experience at the intersection of:

(i) developing numerical solvers for forward and inverse electromagnetic (imaging) problems,

(ii) integration of scientific machine learning algorithms, and generative adversarial neural networks (GANs) with numerical electromagnetic, and acoustic wave propagation models, and

(iii) designing phased array antennas and microwave devices.

From 2011 to 2013, he was a Research Engineer with the Microwave Laboratory, University of Calabria, Rende, Italy. From August 2007 to September 2021, he was a Lecturer with the Electrical and Computer Engineering Department, CUI, where he taught at undergraduate and graduate levels. During September 2021 to August 2023, Dr. Sandhu has been a postdoctoral fellow with the Center of Integrative Petroleum Research, King Fahd University of Petroleum and Minerals (KFUPM).

His research interests include applied computational electromagnetics with an emphasis on the characterization of electromagnetic fields and wave interactions in complex geometries, solutions for 2-D and 3-D joint electromagnetic and seismic inverse problems incorporating signal processing and machine learning techniques, integration of physics-informed machine learning with numerical wave propagation solvers, and Bayesian experimental design for efficient sensor placement in an imaging framework.

He was a finalist in the student poster competition at the 2016 IEEE IST Conference and secured the best student paper nomination at the 2017 IEEE Applied Computational Electromagnetics Society Conference.

He received two bronze medals for securing distinction in his undergraduate discipline at the campus as well as at institute levels at COMSATS University Islamabad.

Dr. Sandhu is a self-motivated and detailed-oriented individual with excellent communication skills. He is educated and trained throughout in a diverse and cross-cultural environment. He is currently serving as an assistant professor at the faculty of computer science and engineering at the GIK Institute Pakistan.

Selected Publications

JOURNAL PAPERS

1. E. Naseer, A. I. Sandhu, et. al, “GAN-driven Electromagnetic Imaging of 2-D Dielectric Scatterers”,(under review) Submitted to IEEE on February 16, 2024. Preprint Available at https://doi.org/10.48550/arXiv.2402.10831,

2. A. I. Sandhu, B. D. Mansour, O. Dorn and P. Soupios, “Bayesian Experimental Design for Efficient Sensor Placement for TwoDimensional Electromagnetic Imaging”, in IEEE Access, vol. 11, pp. 65649-65662, 2023.

3. A. I. Sandhu, U. Waheed, O. Dorn and P. Soupios, “Multifrequency Wavefield Modeling of Acoustic VTI Wave Equation Using Physics Informed Neural Networks”, in Frontiers in Earth Science, vol. 11, 2023

4. A. I. Sandhu, A. Desmal, S. A. Shaukat and H. Bagci, “A Neural Network Assisted Greedy Algorithm For Sparse Electromagnetic Imaging”, IEEE Trans. Antennas Propag., vol. 69, no. 9, pp. 6093-6098, Sept. 2021

5. A. I. Sandhu, A. Desmal and H. Bagci, “An Accelerated Nonlinear Contrast Source Inversion Scheme for Sparse Electromagnetic Imaging”, in IEEE Access, vol. 9, pp. 54811-54819, 2021.

6. A. I. Sandhu, e.t. al, “Radiating elements for shared aperture Tx/Rx phased arrays at K/Ka band”, IEEE Trans. Antennas Propag., vol. 64, no. 6, pp. 2270-2282, 2016

CONFERENCE PAPERS

1. A. I. Sandhu, U. Waheed, O. Dorn and P. Soupios, “Multifrequency seismic wavefield modeling in anisotropic media using physics-informed neural networks”, presented at SEG IMAGE 2023 conference, August 2023, Houston Texas

2. A. Miftakhutdinov, U. Waheed, A. I. Sandhu, K. Shukla and G. Karniadakis, “JAXcelerate Seismic Full Waveform Inversion : A HighPerformance Approach to PINN- based FWI”, presented at SEG IMAGE 2023 conference, August 2023, Houston Texas

3. A. I. Sandhu, S.A. Shaukat, A. Desmal and H. Bagci, “A Machine Learning Assisted Compressive Sensing Approach for Sparse Electromagnetic Imaging”, In. Proc. IEEE International Conference on Computational Electromagnetics (ICCEM), March 2020, Singapore

4. A. I. Sandhu, A. Desmal and H. Bagci, “A Self-Adaptive Accelerated Contrast Source Inversion Scheme for Nonlinear Electromagnetic Imaging”, In. Proc. IEEE International Conference on Imaging Systems and Techniques (IST), (Best Student Poster Finalist), December 2019, AbuDhabi

5. A. Desmal, A. I. Sandhu and H. Bagci, “Nonlinear Projected Sparse Optimization Approach Based on Adam Algorithm for Microwave Imaging”, In. Proc. Advances in Science and Engineering Technology multi-conferences (ASET), December 2019, AbuDhabi

6. A. I. Sandhu, A. Desmal and H. Bagci, “An Accelerated Contrast Source Inversion Scheme For Nonlinear Electromagnetic Imaging”, In proc. Progress In EM Research (IEEE PIERS), 2018, Toyama, Japan

7. A. I. Sandhu and H. Bagci, “A Modified CoSaMP Algorithm For Electromagnetic Imaging of Two Dimensional Domains”, In proc. International Applied Computational Electromagnetics Society Symposium (IEEE ACES), (Best Student Paper Finalist), 2017, Florence, Italy

8. A. I. Sandhu, A. Desmal and H. Bagci, “A Projected Steepest Descent Accelerated Contrast- Source Inversion Scheme for Nonlinear Electromagnetic Imaging”, In proc. IEEE International Symposium on Antennas and Propagation and Radio Science Meeting (APS-URSI), 2017, San-Diego, U.S.

9. A. I. Sandhu, A. Desmal and H. Bagci, “A Sparsity-Regularized Born Iterative Method for Reconstruction of Two-Dimensional Piecewise Continuous Inhomogeneous Domains”, In proc. IEEE EuCAP, 2016, Davos, Switzerland

10. A. I. Sandhu, A. Desmal and H. Bagci, “A Sparsity Regularized In-Exact Newton Method for the Reconstruction of Two Dimensional Inhomogeneous Domains”, In proc. IEEE APS-URSI, 2016, Puerto Rico, U.S

11. Y. Shi, A. I. Sandhu, e.t. al, “Analysis of Transient Electromagnetic Wave Interactions on Graphene Sheets Using Integral Equations”, In proc. IEEE APS-URSI, 2015, Vancouver, Canada.

12. L. Boccia, A. Shamsafar, E. Arnieri, A. I. Sandhu, e.t. al, “SiGe BiCMOStechnology for Ka-band satcom on the move user terminals”, In proc. IEEE EUCAP, 2014, Hague, Netherlands

13. F Greco, G Amendola, E Arnieri, L Boccia, and A. I. Sandhu, “A dual-band, dual-polarized array element for Ka band satcom on the move terminals”, In proc. IEEE EUCAP, 2014, Hague, Netherlands

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