RSIS International

Sawera Kanwal

Ms. Sawera Kanwal

Lecturer

Computer science
Country
Pakistan
Education
MSCS from UMT Lahore
Journal
International Journal of Research and Innovation in Social Science (IJRISS)
Biography
Profile

I will always utilize my skills, such as honesty and dedication to my job, to achieve high career growth through continuous learning, remain a dynamic visionary, and stay competitive in the changing world scenario. A motivated learner, researcher, and entrepreneur with extensive professional experience with diverse and prestigious organizations and institutes in Computer Science, Machine Learning, and its applications.

A creative and critical manager enriched with leadership, management, and communication skills, proficient in completing tasks on time, and adaptable to any work environment. A dedicated worker with a sense of responsibility and professionalism, with a vision to learn and excel to serve.

Education
  • MS.CS (2022–2024) – UMT Lahore | CGPA: 3.10
    Courses: Digital Logic Design, Computer Networks, Data Communication, Distributed Systems, Network Security, Database, ICT, PF, OOP, DSA
  • M.Ed. (2020–2023) – AIOU Islamabad | CGPA: 3.5
  • MSC.CS (2018–2020) – GCU Faisalabad | CGPA: 3.2
  • BSC.CS (2016–2018) – Govt. College Bhakkar | 1st Division
Work Experience
  • Lecturer – NCBA&E University Lahore (03/09/2023 – 2025)
  • Visiting Lecturer – COMSATS University Lahore (08/05/2024 – 2025)
  • Lecturer – GC University, Lahore Campus (03/03/2025 – Present)
Thesis Supervision / Co-Supervision
  • Zubda Khanam: Deep convolution neural network-based prediction of lysine malonylation sites.
  • Hina Farooq: Prediction of extracellular matrix proteins using cascade random forest.
  • Zoha Kashaf: Analysis and prediction of phosphorylation sites using deep learning.
  • Sameera Kanwal: Antimicrobial peptide prediction using deep learning and support vector machine.
Digital Skills
  • Languages: C, C++, C#, Python
  • Libraries/Frameworks: Numpy, Pandas, Matplotlib, TensorFlow, PyTorch
  • Tools: PyCharm, Matlab, Atmel Studio, MS Office
  • Domains: Artificial Intelligence, Bioinformatics, Computational Biology, Machine Learning
Research Interests
Blockchain Technology, Computer Engineering, Computer Science, Construction Management, Cybersecurity, Data Science, Economics, Education, Information Systems, Information Technology
Experience
3
Other Reviewer
Me
A'BIR WARDATI BINTI ABD.LATIF
Asrar-Ahamed-Photo-2
Dr. A. ASRAR AHAMED
5
Mr. Abhishek Kumar Sinha
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Dr. Christopher Rodgers Ph.D.
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Mr. Tejaskumar Ramanlal Patel
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