Mudassir Khan 編集者 at IgMin Research
We focus on nurturing interdisciplinary teamwork to contribute to a faster pace of discovery.
バイオグラフィー
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.
研究の興味
Big Data, Machine Learning, Deep Learning, AI, IoT.
Editor
仕事内容
Assistant Professor
King Khalid University
Department of Computer Science
Saudi Arabia
0000-0002-1117-7819 トピック分野別の貢献
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
APC – Affordable APCs with discounts
Citation – High Citation Potential
現在トレンドになっている記事はどれですか？
研究論文
- Preparing for SpaceX Mission to Mars
- Soil Water Vegetation Carrying Capacity and Quality Agricultural Produce
- Balancing Act: Exploring the Interplay Between Human Judgment and Artificial Intelligence in Problem-solving, Creativity, and Decision-making
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
- The Influence of Dynamical Downscaling and Boundary Layer Selection on Egypt’s Potential Evapotranspiration using a Calibrated Version of the Hargreaves-samani Equation: RegCM4 Approach
- LC-MS and HPLC-UV for Detecting Uremic Toxins: Two Validated Methods with Simultaneous Sensitivity and Specificity Evaluation
