About Us

The Computational Imaging, Vision, Intelligence, and Learning (CIVIL) Lab is dedicated to advancing research at the intersection of artificial intelligence, computational imaging, and perception. Our mission is to develop machine learning and deep learning methods that enable systems to see, interpret, and reason about complex visual and scientific data. We work across multiple domains — from computer vision and medical imaging to seismic interpretation and inverse problems — with the goal of building algorithms that extract meaningful insights from high-dimensional signals and accelerate scientific discovery.

Dr. Ahmad Mustafa, Assistant Professor in CS at ITU and Director CIVIL Lab

Press Coverage

Podcast interview with Dr. Habib-ur-Rehman

Invited Talk at SPE Chapter at the UET, Lahore. [Link]

Seminar Talk at Center for Signal and Information Processing, Georgia Tech

News

[Nov 2025] My grant application for $5000 worth of Google Cloud Research Credits has been accepted, allowing me access to GC's various cloud offerings such as GPU/TPU VMs, cloud storage, model training and deployment infrastructure etc.
[May 2025] Our abstract titled "Interactive Seismic Facies Segmentation using Multi-Attribute Seismic Data" has been accepted for a poster presentation at IMAGE 25 Exhibition and Conference.
[Jan. 2025] I delivered an invited talk titled "Theory to Practice: AI and ML in Subsurface Exploration" at the SPE Seminar Series at the University of Engineering and Technology, Lahore.
[Jan. 2025] Our paper titled "A unified framework for evaluating robustness of Machine Learning Interpretability for Prospect Risking" has been accepted for publication to Geophysics.
[Dec. 2024] I was invited to deliver a 2-day short course titled, "Artificial Intelligence for Accelerating Subsurface Characterization: From Theory to Practice" to a team of OGDCL geophysicists at the Oil and Gas Training Institute, Islamabad.
[Feb. 2024] Our paper "Visual Attention-Guided Learning With Incomplete Labels for Seismic Fault Interpretation" has been accepted for publication in IEEE Transactions of Geoscience and Remote Sensing (TGRS).
[Feb. 2024] I will be delivering a talk on the application of Machine and Deep Learning to Geophysics problems to a study group at Oxy.
[Jan. 2024] My paper Explainable Machine Learning for Hydrocarbon prospect Risking has featured among 23 other technical articles selected for the machine learning special section of the Januray-February edition of Geophysics.
[Dec. 2023] Alhamdulillah I successfully passed my PhD dissertation defense at Georgia Tech.

[Nov. 2023] I delivered a talk on my work with modeling visual attention for fault interpretation at the Annual Ml4Seismic Partners Meeting organized by the OLIVES and SLIM labs at Georgia Tech.
[Aug. 2023] I gave a talk on my work with modeling visual attention for fault interpretation at the International Meeting for Applied Geoscience and Energy (IMAGE) in Houston, TX.
[June 2023] I started full time as an ML Engineer at OXY in Houston, TX.
[June 2023] Our manuscript on using Explainable Machine Learning for DHI characterization was accepted for publication in the journal Geophysics.
[May 2023] I was selected as one of the five senior ECE PhD students selected as recipients for the ECE GRA Excellence Award 2023.
[March 2023] I was selected as the recipient of the ECE's CREATION award in recognition of my contributions towards developing and improving ECE courses as a teaching assistant/instructor.
[Feb. 2023] Our manuscript on developing an active learning framework for interpretation was accepted for publication in the journal Geophysics.
[Feb. 2023] I gave a talk on human-in-the-loop AI for subsurface applications at the Center for Signal and Information Processing (CSIP) seminar held at Georgia Tech.
[Nov. 2022] I gave talks about my work on active learning and explainable machine learning for seismic interpretation at the Annual Ml4Seismic Partners Meeting organized by the OLIVES and SLIM labs at Georgia Tech.
[May 2022] I will be interning at Occidental Petroleum for summer 2022.
[April 2022] I was selected as the recipient of ECE's Outstanding Graduate Teaching Assistant Award.
[April 2022] I was awarded the Outstanding Online Head TA Award for ECE at the 2022 CTL Awards Ceremony.
[Sep. 2020] I was among the top 50 applicants to be awarded the registration discount for SEG Annual Meeting (held remotely that year).
[Jan. 2020] I was elected as the President of the SEG Student chapter at Georgia Tech in a preliminary meeting attended by Ghassan AlRegib's, Felix Hermann's, and Zhigang Peng's labs.
[Sep. 2019] I was awarded a fully funded travel grant to attent the SEG 2019 Annual Meeting held in San Antonio, TX.

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