As a recent graduate, I'm currently pursuing exciting opportunities in the information technology sector. Please let me know if you have questions about my educational or professional background, experiences, or passions. further at contact options below on this page.
Oct 2021 - Dec 2023
University of Sargodha
MS Information Technology | Grade: A
I have gone through multiple skills of advanced studies in the IT industry, e.g. artificial intelligence, machine learning, human-computer interactions, information privacy & advanced cryptography methods. I have completed my research work in computer vision, and AI featured interests, e.g., I proposed a fine-tuned deep-learning network for instrument segmentation for robotic surgery applications.
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Sep 2017 - Aug 2021
University of Sargodha
BS Information Technology | Grade: A+
I have been awarded a Gold Medalist🥇 from the University of Sargodha. I have covered a lot of concepts regarding technological trends in information and computing environments, e.g., IT Infrastructure, Basic Electronics, ICT, Digital Logic & Design, Computer Communication & Networks, Internet Architecture and Protocols, Technology Management, Enterprise Application Development, AI, ERP Systems, System & Network Administration, System Integration & Architecture, Data & Network Security, Network Design Management and Cloud Computing.
Feb 03, 2025 - till date
Faculty Lecturer - On Site
Department of Technology
University Profile
The University of Lahore, Lahore, PB, PAK
10 Sep 2024 - 31 Jan 2025
IT Lecturer / Academic Support Officer - On Site
Ignition Pro - School for Entrepreneurs, Lahore, PB, PAK
6 Months
Visiting Lecturer - On Site
University of Sargodha, Sargodha, PB, PAK
Taught course contents for Introduction to 3D Softwares for Interior Design-I
Collaborated with students among diverse nature projects in design items
Sketchup, 3Ds Max, Photoshop, Illustrator, Vrays
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1 Year
OIT Support Specialist - Remote
The University at Buffalo, Buffalo, NY, USA
Motivated and detail-oriented OIT Support Specialist with 1.3 years of experience providing end-users technical assistance and troubleshooting. Proficient in troubleshooting hardware and software issues, installing and configuring operating systems, and managing network infrastructure. I seek to leverage my skills and expertise to contribute to a dynamic IT team and ensure seamless client operations.
03 March 2025
Professional Certificate
(ISC)² Systems Security Certified Practitioner (SSCP)
Authorized by (ISC)²
03 April 2024
Professional Certificate
Google Cybersecurity Professional Certificate
Authorized by Google
03 April 2024
Professional Certificate
IBM Cybersecurity Analyst Professional Certificate
Authorized by IBM
14 September 2021
Recognition Certificate
Oracle Certified Foundations Associate
Oracle Cloud Infrastructure 2022 Certified Foundations Associate
by Oracle
30 March 2023
Recognition Certificate
Oracle Certified Foundations Associate
Oracle Cloud Data Management 2022 Foundations Certified Associate
by Oracle
30 March 2023
Recognition Certificate
Oracle Certified Foundations Associate
Oracle Cloud Infrastructure 2023 AI Certified Foundations Associate
by Oracle
17 March 2024
Excellence Award
Elsevier, Future Generation Computer Systems
Certificate of Excellence in Reviewing for FGCS Journal | Impact Factor 7.5
by ELSEVIER
27 February 2024
Recognition Certificate
Elsevier, Future Generation Computer Systems
Certificate of Reviewing for FGCS Journal | Impact Factor 7.5
by ELSEVIER
December 2023
Research Article | Published
Technical Journal, UET Taxila (HEC Recognized Journal Category-Y)
A Mobile-Edge-Based Smart Driver Drowsiness Detection System
Vol 29 No 01 (2024): Technical Journal
Cite:
Janjua, M., Safdar, I., Jamil, B., & Ijaz, H. (2024). A Mobile-Edge-Based Smart Driver Drowsiness Detection System. Technical Journal, 29(01). Retrieved from https://tj.uettaxila.edu.pk/index.php/technical-journal/article/view/1910
Published Mar 28, 2024
Research Article | Pre-print | Under-Review
Techrixv (Authorea) Preprints | Submitted/Under-Review in Elsevier Journal
RSSNet: A Fine-tuned Deep Learning Network for Robotic Surgical-tool Segmentation
10.36227/techrxiv.24125799.v3
Cite as:
Muhammad Sadaqat Janjua , Hussam Ali , Qaisar Farooq . RSSNet: A Fine-tuned Deep Learning Network for Robotic Surgical-tool Segmentation. TechRxiv. November 07, 2023.
Submitted November 07, 2023