Mudassir Khan 编辑 at IgMin Research
Our mission is to promote a culture of collaborative thinking that drives faster advancements.
简历
Dr. Mudassir Khan is currently working as Assistant Professor and former Head in the Department of Computer Science at College of Science & Arts Tanumah, King Khalid University Abha, Saudi Arabia. He has completed Ph.D. in Computer Science from Noida International University (NIU), India.
He has completed his Graduation from Aligarh Muslim University and master’s from Gautam Budh Technical University, India. He has more than 13 years of Teaching Experience at the King Khalid University of Saudi Arabia. He has published more than 45 papers in International Journals (SCIE, ESCI, Scopus, UGC Care), conferences IEEE and Springer Nature) and 2 patents. He is the Member of various technical/ professional societies such as IEEE, UACEE, Internet Society, IAENG and CSTA.
His research interest includes Big data, IoT, Deep Learning, Machine Learning, eLearning, Fuzzy Logic, Image Processing, Cyber Security and Cloud Computing.
研究兴趣
Big Data, Machine Learning, Deep Learning, AI, IoT.
Editor
工作详情
Assistant Professor
King Khalid University
Department of Computer Science
Saudi Arabia
贡献按题领域
Why Publish with us?
- Global Visibility – Indexed in major databases
- Fast Peer Review – Decision within 14–21 days
- Open Access – Maximize readership and citation
- Multidisciplinary Scope – Biology, Medicine and Engineering
- Editorial Board Excellence – Global experts involved
- University Library Indexing – Via OCLC
- Permanent Archiving – CrossRef DOI
- Affordable APCs with discounts
- High Citation Potential
- Professional Layout & Author Support
现在哪些文章在热门？
研究文章
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
- Communication Training at Medical School: A Quantitative Analysis
- Efficient Room Temperature Ethanol Vapor Sensing by Unique Fractal Features of Tin Oxide
- Lifestyle and Well-being among Portuguese Firefighters
- Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
- Lunar-Derived Propellants for Fueling Mars-Bound Spacecraft in Cis-Lunar Space
