Prof. Shakir Khan | Politeness | Best Researcher Award
Prof. Shakir Khan, Imam Mohammad Ibn Saud Islamic University, Saudi Arabia.
Dr. Shakir Khan is a renowned professor in the Information Technology Department at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. He is listed in the World’s Top 2% Scientists for 2024, as per Stanford University and Elsevier. With over 18 years of national and international experience, Dr. Khan has contributed extensively to the fields of Machine Learning, Data Science, AI, and E-Learning. He has published over 100 research papers, including 76 indexed in Web of Science. He has also been involved in numerous academic leadership roles, including committee memberships for ABET and NCAAA accreditation processes. Dr. Khan is an active part-time consultant for the King Abdulaziz Public Library and a celebrated academic mentor, having supervised many master’s students in various computer science disciplines. 🧑🏫💻
Professional Profile
Suitability of Shakir Khan for the Best Researcher Award
Dr. Shakir Khan is undoubtedly a strong contender for the Best Researcher Award. His research spans key areas in technology, including Machine Learning, AI, Data Science, Bioinformatics, and IoT, which have wide applications across industries such as healthcare, education, and security.
Education
Dr. Shakir Khan holds a Ph.D. in Computer Science from CSJM University, Kanpur, India, where he researched Cloud Computing and Data Mining for E-Learning applications. He also earned an MSc in Computer Science from Jamia Hamdard, New Delhi, India, focusing on SMS Automation Systems. His academic journey includes a Post Graduate Diploma in Computer Applications (PGDCA) from Pondicherry University and a BSc from Delhi University. These qualifications have laid a solid foundation for his research and professional expertise in emerging technologies like AI, IoT, and Cloud Computing. His doctoral dissertation, exploring Cloud Computing and Data Mining, remains highly regarded for its impact on the development of service-oriented architectures in e-learning systems. 🎓📚
Experience
Dr. Shakir Khan’s career spans over 18 years, during which he has held various prestigious academic positions. He currently serves as a Professor in the Information Technology Department at IMSIU, Riyadh, where he has taught a wide range of undergraduate and postgraduate courses, such as Data Science, Big Data, Cloud Computing, and Data Visualization. Prior to this, he worked as a Researcher/Assistant Professor at King Saud University, Riyadh. Dr. Khan also has consulting experience with the King Abdulaziz Public Library and Kwarim Ltd, Riyadh. He has been involved in the delivery of several workshops on data mining, machine learning, and big data, contributing to the professional development of IT professionals across Saudi Arabia. His career also includes roles as a software engineer and IT manager in India. 💼🌍
Research Interest
Dr. Shakir Khan’s research interests lie in the domains of Machine Learning, AI, Data Science, Bioinformatics, Cloud Computing, and IoT. He is particularly focused on developing innovative AI and machine learning models to improve healthcare systems, enhance e-learning platforms, and address challenges in smart cities through IoT applications. His work in bioinformatics seeks to advance data-driven solutions for health issues such as disease prediction and prevention. Furthermore, his research explores the application of big data analytics in diverse sectors, aiming to streamline processes and improve decision-making. Dr. Khan’s interdisciplinary research approach continues to inspire future advancements in both academia and industry. 🤖🔬
Awards
Dr. Shakir Khan has received numerous prestigious awards, including recognition as one of the World’s Top 2% Scientists for 2024. He has also been honored with the Research Excellence Reward for 2022 and 2023 by Imam Mohammad Ibn Saud Islamic University, Riyadh. In 2022, he led a team to win the ACM Programming JAM 7.0 competition at Prince Sultan University, securing third place out of 40 teams. His achievements also include winning the DTEDUHACK 2023 with a project on virtual history museums. These accolades underscore Dr. Khan’s leadership and innovation in the fields of IT and research. 🏆🌟
Publication
AI student success predictor: Enhancing personalized learning in campus management systems
CITED: 27
A secure data transmission framework for IoT enabled healthcare
CITED: 01
Modified M‐RCNN approach for abandoned object detection in public places
CITED: 10
CITED: 04
Hybrid machine learning models to detect signs of depression
CITED: 14
Wall Net: Hierarchical Visual Attention-Based Model for Putty Bulge Terminal Points Detection
CITED: 01