Dr. Halima Sadia
Integral University, Dr. A.P.J. Abdul Kalam Technical University, Aligarh Muslim University
About
Dr. Halima Sadia is an Associate Professor in the Department of Computer Science & Engineering, Integral University, Lucknow. She has over 19 years of teaching and research experience. She has completed her Ph.D. in Computer Science & Engineering from Abdul Kalam Technical University, Lucknow, India. Her research interests include Requirement Engineering, Cyber Security, Blockchain in Healthcare sector. She has published multiple research articles in Scopus indexed journals, national, and international conferences of repute. Dr. Halima Sadia has also authored 3 books in the field of Computer Science & Engineering. She is passionate about mentoring the next generation of computer scientists and engineers and is contributing her knowledge and experience as a member of the editorial board, advisory committee, and technical program committee. She is an active member of different professional bodies including ISTE, IAENG, UACEE, CSTA, ISOC-USA, EASST, HPC-Houston.
Employment
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Integral University Associate Professor2006 - Present
Education
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Dr. A.P.J. Abdul Kalam Technical University Doctor of Philosophy2013 - 2021
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Integral University Master of Technology2009 - 2013
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Integral University Bachelor of Technology2003 - 2006
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Aligarh Muslim University Diploma in Computer Engineering2000 - 2003
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- A Systematic Review of Multimodal Emotion Recognition Approaches for Affective Computing: Advances and Challenges Save
- Extracting sentiment through handwritten content using hybrid CNN-BiLSTM Save
- Fuzzy Logic in Smart Traffic Management System for Cities: An Overview Save
- A Review of Computer Vision Methods for Detecting Diseases Using AI-Based Medical Imaging Save
- A Comprehensive Review of Alopecia Areata Detection Using Self-Supervised Auto ML Models: Systematic Insights and Emerging Challenges Save
- Cyberology: An Optimized Approach to the Cyber-World Save
- Efficient Satellite Image Classification with Semi-supervised Learning Save
- Blockchain technology-based framework to build cyber-secured smart cities Save
- Intrusion Detection System for Wireless Sensor Networks: A Machine Learning Based Approach Save
- A Comprehensive Analysis of Fake News Detection Models: A Systematic Literature Review and Current Challenges † Save