Dr. Sk Aziz Ali
Assistant Professor | Computer Science and Information Systems @ BITS Pilani, India
Email: skaziz.ali@hyderabad.bits-pilani.ac.in
Phone: +91 40-6630-3968 (Extension - 968)
Address: BITS Pilani, CSIS Department, Block-H, Office H115, Secunderabad, Telangana 500078
I am a full-time Assistant Profesor of BITS Pilani (Hyderabad Campus) at the department of Computer Science and Information Systems (CSIS). BITS Pilani stands as India’s No.1 ranking private Institute of Eminence for STEM education. I am also associated as an adjunct researcher at the Augmented Vision group of German Research Center for Artificial Intelligence (DFKI GmbH). Previously, I was a postdoctoral researcher at the Computer Vision Imaging and Machine Intelligence (CVI2) research group led by Prof. Dr. Djamila Aouada at the University of Luxembourg. Prior to joining CVI2 group, I received my PhD and M.Sc in Computer Science from the University of Kaiserslauter-Landau (RPTU), Germany. My PhD and Masters study advisors were Prof. Dr. Didier Stricker and Prof. Dr. Hans Hagen.
Research
I did my master thesis, titled as- “Visualization of FEM data for FRP materials”, from DLR (German Aerospace) where he prototyped a visually based Fiber Reinforced Plastic(FRP) material failure analysis tool to help structure designing engineers analyzing the strength of aircraft components. My primary emphasis during doctoral research program with the German Research Center for Artificial Intelligence was “Fast Robust Rigid and Non-rigid Registration for Globally Consistent 3D Scene and Shape Reconstruction”. My main research focus from last three years is on “AI-assisted CAD Modeling and Smart Manufacturing”. My research interest mainly combines – 3D Computer Vision, Deep Learning and Machine Learning Methods for Resource-Constrained and Explainable AI, Intelligent Perception for Autonomous Driving Systems using Vision-Language models, Point Set Registration, Globally Consistent Scene and Shape Reconstruction, NLP + Geometric Deep Learning for Scan-to-CAD Reverse Engineering.
Open Position
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I have an open position for a PhD student, options to collaborate on the topics under AI-assisted CAD modeling using Vision-Language/Large-Language models.
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If you are interested in doing thesis/internship/HiWi(i.e., student research) job on topics under general framework of (1) Autonomous Driving Systems (2) Vision-Language/Large-Language models, and (3) Embodied+Explainable AI on the Edge, do not hesitate to contact me.
news
| Apr 3, 2025 | 🎤 I had the opportunity to present our paper: “Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts”, Originally spotlighted at NeurIPS’2024, a Nectar Track of IEEE 3D Vision (3DV) 2025 in Singapore (👉 Presentation Link)  |
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| Mar 24, 2025 | We are excited to release the CODES and DATASET related to our paper Text2CAD: Generating Sequential CAD Designs from Beginner-to-Expert Level Text Prompts published in Neural Information Processing Systems 2024. The first Transformer-based AI model that maps textual descrption for Engineering Desigs of product to the sequential hisign-history of parametric CAD models. |
| Sep 21, 2024 | We are releasing codes and dataset related to our paper BRep Boundary and Junction Detection for CAD Reverse Engineering published IEEE ICMI 2024. An entry point for 3D Scans to BRep modeling using large annotations for ABC and CC3D Datasets. |
| Apr 21, 2024 | I am delighted to announce that our highlight paper CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention is accepted at the IEEE/CVF CVPR 2024. |
| Nov 15, 2023 | I am deligted to post that our research group at AV-DFKI showed strong presence (highlighted in the DFKI press rlease) with no less than Two Papers are accepted at the IEEE/CVF ICCV 2023. |
| Sep 30, 2023 | Two papers are accepted at the IEEE/CVF ICCV 2023 - (1) DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport and (2) SHARP Challenge 2023: Solving CAD History and pArameters Recovery from Point clouds and 3D scans. Overview, Datasets, Metrics, and Baselines. |
| Aug 19, 2023 | Our paper DELO: Deep Evidential LiDAR Odometry Using Partial Optimal Transport has been accepted for publication at IEEE CVF International Conference on Computer Vision Workshop ICCV 2023. (paper, project-page, code). |
| Aug 19, 2023 | I am co-organizing the The 4th edition of the SHARP Workshop and challenge in conjunction with ICCV 2023. The registrations for this workshop are open. Join the challenge here! with the oppotunity to win a prize money of🔸 8k€ sponsored by Artec 3D 🏆 |
| Jan 16, 2023 | I was invited to give a talk on Robust Registration, Reconstruction, and Reverse Engineering of 3D Shapes/Scene at the Computational and Data Sceinces CDS department of the Indian Institute of Science (IISc), Bangalore |
| Jan 16, 2023 | I was invited to give a talk on Robust Registration, Reconstruction, and Reverse Engineering of 3D Shapes/Scene at the TCS Research, Kolkata, India |
| Nov 1, 2021 | I have joined as a Postdoctoral Researcher at the Computer Vision Imaging and Machine Intelligence research group of the University of Luxembourg. |
