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
RICHARD R. CABANGON
Mr. Richard R. Cabangon
Mr. Waman Radhakrishna Parulekar
Mr. Waman Radhakrishna Parulekar
Dr. Naiya Amit kumar
Dr. Naiya Amit kumar
Dr. Helen E. Uzoekwe
Dr. Helen E. Uzoekwe
Mrs. Nwokoye Joy Nwando
Dr. Nwokoye Joy Nwando
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