Hi, there! I’m Saqib. I am a Ph.D. student in the Faculty of Electronics, Telecommunications, and Information Technology at the University Politechnica Bucharest, working with Prof. Daniela Coltuc and Prof. Mihai Datcu as a member of the CEOSpace Tech. lab. I specialized in the field of 3D computer vision and the applications of Artificial Intelligence (AI), Deep Learning, and Machine Learning in this field. My primary area of research revolves around developing innovative methods for Monocular depth estimation utilizing defocus blur as a cue and Image defocus deblurring.
Currently, I am working as an Early-stage Researcher (ESR) in the European Training Network (ETN) H2020-MSCA-ITN MENELAOS-NT project. The project applies Novel Technologies to realize multimodal – multi-sensor data fusion to optimally combine the information delivered by different sensors (in-situ/remote, optical/non-optical) on different scales, with different resolutions, and with different reliability. The objective of this project is to advance technologies in the areas of 3D imaging, perception, and environmental interaction, employing computer vision, machine learning, and robotics.
As a part of my work, I published several papers in top-tier conferences and peer-review journals in the field of computer vision and image processing. My research contributions have been widely recognized and have earned prestigious awards and accolades.
Prior to joining CEOSpace Tech, I obtained a Bachelor’s degree in Computer Science from COMSATS Univeristy Islamabad, Pakistan. Subsequently, I pursued a Master’s degree in Computer Vision and Artificial Intelligence, where my focus revolved around the development of sophisticated deep-learning models for Medical Image Processing. Following the completion of my Master’s degree, I served as a research assistant at a prominent research institute at COMSATS Univeristy Islamabad, Pakistan, thereby acquiring substantial expertise in crafting cutting-edge machine-learning models.
I thoroughly enjoy collaborating with interdisciplinary teams encompassing diverse backgrounds. My experience encompasses working alongside small, agile teams to deliver problem-oriented and dependable software solutions. As a Computer Vision engineer, I highly value proactivity, knowledge sharing, and adherence to sound coding practices.
Please take a look at some of my work.
News
- [December 2023] Hey! I will defend my Ph.D. thesis on the 8th of December at 10:00 am, in Bucharest. It will take place in the Faculty of Electronics, Telecommunications and Information Technology, ETTI Board Room, located in B-dul Iuliu Maniu, no. 1-3, sector 6, the debate and public support session, of the doctoral thesis with the title: Deep Depth from Defocus for Near Range and In-Situ 3D Exploration. If you want to join please send me an email. More information Link
- [Sep 2023] Exciting news!!, my paper entitled “Self-supervised Defocus Map Estimation and Auxiliary Image Deblurring Given a Single Defocused Image” has been accepted for presentation at Digital Image Computing: Techniques and Applications (DICTA) 2023, Port Macquarie, New South Wales Australia DICTA
- [Apr 2023] Scandinavian Conference on Image Analysis 2023, Lapland, Finland SCIA
- [Mar 2023] MenelaosNT Forum, Bucharest, Romania Forum
- [Oct 2022] 5th European Machine Vision Forum, Cork, Ireland
- [Oct 2022] IEEE International Conference on Image Processing, Bordeaux, France
- [Feb 2022] Visiting Researcher @ INSITU, University of Vigo, Spain INSITU
- [Feb 2022] PhD Forum Sensing Anywhere Innovation, University of Siegen, Germany Forum
- [Sep 2021] Visiting Researcher @ CiTIUS, University Santiago De Compostela, Spain CiTIUS
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Please contact me with any questions (email on the left).