0000-0002-0894-7595 About
Syed Immamul Ansarullah is a distinguished academic with a notable educational background. He completed his Bachelor of Computer Applications (BCA) from the University of Kashmir, followed by a Master of Computer Applications (MCA) from Baba Ghulam Shah Badshah University in Rajouri. Furthering his education, Syed Immamul Ansarullah completed a Bachelor of Education (B. Ed.) at the University of Kashmir and an M. Phil at Awadhesh Pratap Singh University in Rewa, Madhya Pradesh. He then pursued a Ph.D. in Computer Science, specializing in Artificial Intelligence and Machine Learning, from Maulana Azad National Urdu University in Hyderabad, India.
Dr. Syed Immamul Ansarullah began his professional career in 2019, contributing his expertise to various esteemed colleges in Jammu and Kashmir, India. Over the years, he has developed an impressive research portfolio, with numerous national and international publications, including books, book chapters, patents, conference papers, and research articles. His dedication to advancing knowledge in his field is evident in his extensive academic achievements. Additionally, he serves as a reviewer for several reputable journals, including Computer Methods in Biomechanics and Biomedical Engineering, BMC Medical Research Methodology, Engineering Applications of Artificial Intelligence, Concurrency and Computation: Practice and Experience, Applied Computing and Informatics, and Computers and Education Open.
Employment
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University of Kashmir Assistant Professor2024 - 2027
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (27)
- Social Network Design for Disability Peer Support: Identifying Barriers, Applying Standards, and Implementing Measurable Solutions Save
- Quantum-Enhanced Artificial Intelligence: The Next Frontier in Computing and Decision-Making Save
- A Multilevel Deep Learning Model for Automated Brain Tumor Segmentation Using Magnetic Resonance Images Save
- Artificial Intelligence in Tax Compliance Save
- Predicting Stock Markets Using Linear Regression and Cloud Computing Save
- Leveraging Digital Tools to Enhance School Counselling Save
- The Future of Machine Learning and Artificial Intelligence in Finance Save
- Comprehensive Evaluation of Pre-trained Neural Networks for Alzheimer’s Disease Classification Using Transfer Learning Save
- Enhancing the Diagnosis of Early Autism Spectrum Disorder: A Comparative Study of Explainable Machine Learning Models and Feature Importance Analysis Save
- Exploring the Potential of Convolutional Neural Networks in Classifying Alzheimer’s Stages with Multi-biomarker Approach Save