Dr. Natasha Nigar is a highly accomplished computer scientist with a PhD in Computer Science from the University of Birmingham, UK, and extensive experience in academia, industry, and research. She currently serves as an Assistant Professor at the University of Engineering and Technology in Lahore, Pakistan. Her expertise spans various domains including software engineering, machine learning, artificial intelligence, and data science. Dr. Nigar is known for her contributions to peer-reviewed journals, conferences, and book chapters, as well as her active involvement in teaching and mentoring students.
Author Metrics:
Scopus Profile
Dr. Nigar has a prolific publication record, with numerous peer-reviewed journal papers, conference presentations, and book chapters to her name. Her research contributions are widely recognized in the academic community, as evidenced by her publication in prestigious journals and conferences. Additionally, her work has garnered attention through citations and collaborations with other researchers in the field.
Publications:
Nigar and Natasha have collectively authored 11 documents.
Citations:
Their work has received a total of 50 citations from 47 documents.
h-index:
The h-index, which measures both the productivity and impact of the publications, is 5. This means that they have at least 5 papers that have been cited at least 5 times each.
Education:
Dr. Nigar holds a PhD in Computer Science from the University of Birmingham, UK, earned in 2021. Prior to her doctoral studies, she completed her MSc and BSc in Computer Science at the University of Engineering and Technology in Pakistan. Her educational background has provided her with a solid foundation in computer science principles and methodologies, which she applies in her research and teaching endeavors.
Research Focus:
Dr. Nigar’s research focuses on several key areas within computer science, including:
- Internet of Medical Things (IoMT) and healthcare systems
- Software project scheduling and management
- Deep learning and artificial intelligence applications
- Image processing and classification algorithms
- Agile methodologies and software quality assurance
Professional Journey:
Dr. Nigar’s professional journey encompasses both academic and industry roles. She has held positions as a software engineer, senior software quality assurance engineer, lab engineer, and research associate before transitioning to academia as an Assistant Professor. Her diverse experiences have shaped her expertise in various aspects of computer science, from practical software development to theoretical research and teaching.
Honors & Awards:
Throughout her career, Dr. Nigar has received recognition for her academic achievements and contributions to the field of computer science. Some notable honors and awards include:
- Winner of the ‘Student Futures Competition’ at the University of Birmingham, UK
- Travel grants to participate in prestigious conferences such as ICSE and SSBSE
- Top positions in competitions and scholarships during her academic journey
Publications Noted & Contributions:
Dr. Nigar has made significant contributions to the body of knowledge in computer science through her publications in peer-reviewed journals, conferences, and book chapters. Her research papers cover a wide range of topics including IoT healthcare systems, software project scheduling, deep learning for image classification, and more. These publications demonstrate her expertise and impact in advancing the field of computer science through rigorous research and innovation.
Title: An Intelligent Framework Based on Deep Learning for Online Quran Learning during Pandemic
- Authors: Nigar, N.; Wajid, A.; Ajagbe, S.A.; Adigun, M.O.
- Journal: Applied Computational Intelligence and Soft Computing
- Year: 2023
- Volume: 2023
- Pages: 5541699
- Citations: 0
Title: A Novel Multi-Objective Evolutionary Algorithm to Address Turnover in the Software Project Scheduling Problem Based on Best Fit Skills Criterion
- Authors: Nigar, N.; Shahzad, M.K.; Islam, S.; Oki, O.; Lukose, J.M.
- Journal: IEEE Access
- Year: 2023
- Volume: 11
- Pages: 89742–89756
- Citations: 0
Title: IoMT Meets Machine Learning: From Edge to Cloud Chronic Diseases Diagnosis System
- Authors: Nigar, N.; Jaleel, A.; Islam, S.; Shahzad, M.K.; Affum, E.A.
- Journal: Journal of Healthcare Engineering
- Year: 2023
- Volume: 2023
- Pages: 9995292
- Citations: 7
Title: Multi-Objective Dynamic Software Project Scheduling: A Novel Approach to Handle Employee’s Addition
- Authors: Nigar, N.; Shahzad, M.K.; Islam, S.; Oki, O.; Lukose, J.
- Journal: IEEE Access
- Year: 2023
- Status: Article in Press
- Citations: 4
Additionally, there is a book chapter authored by Ajagbe, S.A. and others, which includes contributions from Nigar: 5. Title: Cyber-Physical Systems Security: Analysis, Opportunities, Challenges, and Future Prospects
- Authors: Awotunde, J.B.; Oguns, Y.J.; Amuda, K.A.; Olagunju, K.M.; Ajagbe, S.A. (includes contributions from Nigar, N.)
- Book: Advances in Information Security
- Year: 2023
- Volume: 102
- Pages: 21–46
- Citations: 4
- Abstract: [This link is disabled.]
Research Timeline:
Dr. Nigar’s research journey has evolved over the years, starting from her early contributions as a research associate and software engineer to her current role as an Assistant Professor. Her timeline includes milestones such as completing her PhD, presenting at international conferences, publishing in renowned journals, and receiving awards for her research achievements. This timeline reflects her dedication to continuous learning, innovation, and scholarly pursuits in computer science.
Collaborations and Projects:
Dr. Nigar has been actively involved in collaborations with other researchers, both within academia and industry. These collaborations have resulted in joint research projects, co-authored publications, and knowledge exchange initiatives. Through her partnerships, she has contributed to interdisciplinary research efforts and tackled complex challenges in areas such as healthcare, software engineering, and AI. Her collaborative approach underscores the importance of teamwork and knowledge sharing in advancing scientific discovery and innovation.