Name | Dr. Furqan Shaukat |
Designation | Associate Professor |
Department | Electrical Engineering (Taxila) |
Highest Qualification | PhD |
Specialization | Image Processing and Analysis |
Phone No | 051-9047561 |
Cell No | 0333-5903313 |
Fax No | 051-9047420 |
[email protected] |
Ph.D. Electrical Engineering, UET Taxila, 2018
Specialization - Image Processing and Analysis
M.S. Electrical Engineering, UET Taxila, 2011
Specialization - Image Processing and Analysis
B.Sc. Electrical Engineering, UET Lahore, 2007
Specialization - Electronics and Communication
Research Funding
Recipient of Faculty Research Grant of Rs. 17,42,500/- Recommended by the Research Grant Regulating Committee on 5.3.2015 For The Financial Year 2015-16 in UET Taxila.
Ignite National Technology Fund, Ministry of Information and Telecom, Government of Pakistan via Letter No. Ignite/NGIRI/2017-18/03, Dated: 25th June 2018.
Recipient of Six Months Scholarship under the scheme, “International Research Support Initiative Program” (No. I-8/HEC/HRD/2015/5464).
Ignite National Technology Fund, Ministry of Information and Telecom, Government of Pakistan via Letter No. Ignite/NGIRI/2012-13, 2013.
Image Processing and Analysis
Computer Vision
Image Recognition
Biomedical Imaging
Artificial Intelligence
Peer-Reviewed Journal Publications:
The Impact Factor Scores are based on JCR 2021. https://clarivate.com/webofsciencegroup/solutions/journal-citation-reports/
Resident Tutor Boys Hostel (2017-2019)
Associate Professor, Electrical Engg. Department, UET Taxila
Feb 2021 - Present
Assistant Professor, Electronics Engg. Department, UET Taxila Sub Campus Chakwal
May 2012 - Feb 2021
Lecturer, Electronics Engg. Department, UET Taxila Sub Campus Chakwal
September 2007 - April 2012
Resarch Associate, Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Univeristy of Sheffield UK.
November 2015 - May 2016
International Journal of Computer Vision (ISSN: 0920-5691).
Journal of Experimental and Theoretical Artificial Intelligence (ISSN: 0952-813X).
Journal of Medical Imaging (ISSN: 2329-4302).
Computer Vision and Image Understanding. (ISSN: 1077-3142 )
Computers in Biology and Medicine (ISSN: 1879-0534)
Expert systems with applications(ISSN: 0957-4174)
PLOS ONE (ISSN: 1932-6203)
IEEE (Institute of Electrical and Electronics Engineers) Member
PEC (Pakistan Engineering Council) Member
IEICE (The Institute of Electronics, Information and Communication Engineers Japan) Member
Object Oriented Programming
Programming Fundamentals
Associate Professor, Electrical Engg. Department, UET Taxila
Feb 2021 - Present
Assistant Professor, Electronics Engg. Department, UET Taxila Sub Campus Chakwal
May 2012 - Feb 2021
Lecturer, Electronics Engg. Department, UET Taxila Sub Campus Chakwal
September 2007 - April 2012
Resarch Associate, Centre for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB), Univeristy of Sheffield UK.
November 2015 - May 2016
Convener Semester Committee (2018-2021)
Convener Subject Committee (2019-2021)
Director Postgraduate Studies (2019-2021)
University of Engineering and Technology Taxila, Pakistan
Recipient of prestigious Fulbright Scholarship 2022-2023 for post-doc at Center for Research in Computer Vision, University of Central Florida, USA (https://www.crcv.ucf.edu/).
Recipient of Six Months Scholarship under the HEC Pakistan scheme, IRSIP (International Research Support Initiative Program) 2015-16 for Visting Research Associate at CISTIB (Computational Imaging & Simulation Technologies in Biomedicine), University of Sheffield, UK, (https://www.cistib.org/).
1. Kamran Javed, Ghulam Hussain, Furqan Shaukat and Seong Oun Hwang , "Removing Rain using Generative Neural Network", Proceedings of 7th International Conference on Green and Human Information Technology (ICGHIT) Malaysia Jan 2019.
2. Furqan Shaukat, Gulistan Raja, "Implementation of Rule-Based Medical Image Recognition for Lung CT Images", Proceedings of International Bhurban Conference on Applied Sciences & Technology, Islamabad, Pakistan, January 09 – 12, 2012
3. Shaukat, Furqan, Syed Muhammad Anwar, Abhijeet Parida, Van Khanh Lam, Marius George Linguraru, and Mubarak Shah. "Lung-cadex: Fully automatic zero-shot detection and classification of lung nodules in thoracic ct images." In International Workshop on Machine Learning in Medical Imaging, pp. 73-82. Cham: Springer Nature Switzerland, 2024.
4. Khan, Muhammad Basit, Furqan Shaukat, Muhammad Abdullah, Junaid Mir, and Gulistan Raja. "Fully Automatic Lung Segmentation in Thoracic CT Images using K-means Thresholding." In 4th International Conference on Key Enabling Technologies (KEYTECH 2024), pp. 62-68. Atlantis Press, 2024.
B.Sc. Thesis Supervised
Unmanned Ariel Vehicle Based Traffic Management & Surveillance System (2021)
Continuous Gesture Recognition for Flexible Human-Robot Interaction (2020)
Computer Vision based Fire Detection and Extinguisher System (2019)
Online Training, “Machine Learning with Python” conducted by Intelligent Criminology Research Lab (ICRL), UET Lahore
in collaboration with NCAI, October 2021.
Continuing Professional Development Activity on Re-inforcing Concepts on Outcome Based Education, UET Taxila, January 2020
National Workshop on Curriculum Design by PEC, Islamabad 2019.
Continuing Professional Development Course by Cornwall Education and Training UK 2016.
Presentation Skills Course by Cornwall Education and Training UK 2016.
Inclusion and Diversity Course by Cornwall Education and Training UK 2016.
Adult Learning Course by Cornwall Education and Training UK 2016.
One Week Training Program , Professional Skill Enhancement Program UET Taxila 2007.
1. Muhammad Abdullah (22-PhD-EE-107), "EMeRALDS: Electronic Medical Records driven Automated Lung nodule Detection and cancer risk Stratification".
The SIP research group is focused on the applications of multidimensional signal processing to solve medical challenges and problems related to the content distribution. The group is dedicated towards the development of innovative imaging techniques and computational algorithms for efficient content distribution and advanced processing of physiological signals for better understanding, diagnosis, and treatment of human diseases.
Through coordination with multiple faculties, university departments and institutes, the SIP research group strives to become the leading and well-renowned research group in the area of signal and image processing. The research group strongly welcomes the involvement of young graduate students in the research activities of the group and has full potential to provide the essential training programs to enable them to learn state-of-the-art techniques and methods. We believe that their involvement will enable them to become outstanding independent researchers.