Dr. Bushra Almas
Dr. Bushra Almas epitomizes excellence and dedication in the realm of academia, serving as an Assistant Professor with a distinguished academic background. Holding a Ph.D. from NUCES, FAST Islamabad, along with an MSCS from the same institution, and an MIT from NUML Islamabad, Dr. Almas has crafted a scholarly journey marked by unwavering commitment and intellectual prowess.
Her research interests span the cutting-edge domains of Artificial Intelligence, Machine Learning, Federated Learning, and Data Science. This commitment to staying at the forefront of technological advancements positions Dr. Almas as a thought leader in these dynamic fields.
In the realm of education, Dr. Bushra Almas imparts her extensive knowledge across a spectrum of courses, ranging from foundational subjects like Introduction to Computing and Fundamentals of IT to advanced topics such as Machine Learning and Introduction to Pattern Recognition for MS students. Her diverse teaching portfolio reflects a comprehensive approach to nurturing the skills of her students, providing them with a holistic understanding of computer science.
As a mentor, Dr. Almas is actively engaged in guiding and shaping the next generation of researchers and professionals. Her ongoing research project, "Handling CSP problem for DDOS attack detection," underscores her commitment to addressing real-world challenges through innovative solutions.
Dr. Almas's contributions extend beyond the classroom and research projects. She has presented her research findings in esteemed publications, such as "EHHR: An efficient evolutionary hyper-heuristic based recommender framework for short-text classifier selection" in Cluster Computing and "A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework" in Healthcare. These publications not only showcase her intellectual rigor but also contribute valuable insights to the academic community.
In addition to her research and teaching roles, Dr. Bushra Almas actively participates in academic initiatives. Her leadership was evident in organizing a two-day workshop on "Promoting Research Excellence in Academics across Pakistan," held on 1st and 2nd February 2022. This event not only promoted a culture of research but also highlighted her commitment to fostering academic excellence nationwide.
Dr. Bushra Almas stands as an inspirational figure in academia, embodying the ideals of scholarship, mentorship, and continuous learning. Her multifaceted contributions make her an invaluable asset to the academic community and a guiding force for aspiring computer scientists under her tutelage.
|Introduction to Computing
|Fundamentals of IT
|Object Oriented Programming
|Analysis of Algorithm
|Rapid Application Development
|Introduction to Pattern Recognition (MS)
Almas, Bushra, Hasan Mujtaba, and Kifayat Ullah Khan. "EHHR: an efficient evolutionary hyper-heuristic based recommender framework for short-text classifier selection." Cluster Computing 26, no. 2 (2023): 1425-1446.
Almufareh, Maram Fahaad, Noshina Tariq, Mamoona Humayun, and Bushra Almas. "A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework." In Healthcare, vol. 11, no. 24, p. 3185. MDPI, 2023.
Artificial Intelligence, Machine Learning, Federated Learning, Data Science
Current Research/Project Students:
Handling CSP problem for DDOS attack detection
Two day workshop on “Promoting Research Excellence in Academics across Pakistan” (1st and 2nd February, 2022)