Afaque Karim | Spatial Data Interpretation | Best Researcher Award

Dr. Afaque Karim | Spatial Data Interpretation | Best Researcher Award

Geological Survey of India | India

Dr. Afaque Karim is a distinguished physicist recognized for his expertise in nuclear structure theory and applied physics. He earned his Ph.D. in Physics from Aligarh Muslim University, India, focusing on the “Application of Relativistic Mean Field to Nuclear Structure Studies” under the supervision of Dr. Shakeb Ahmad, with evaluation by eminent scholars including Prof. Peter Ring of TUM, Germany. Dr. Karim holds an M.Sc. in Physics from the Indian Institute of Technology Delhi and a B.Sc. (Hons.) in Physics from Aligarh Muslim University, where he graduated with First Class Honors and earned Gold and University Medals. Currently serving as a Geophysicist with the Geological Survey of India, Ministry of Mines, he has contributed to gravity and magnetic mapping, geophysical borehole analysis, and RF antenna research. His academic interests encompass nuclear structure theory, geophysics, liquid crystal studies, and advanced material properties. Dr. Karim’s accolades include national-level scholarships, multiple merit awards, and the Best Paper Award with a Gold Medal at OPTICS’14. His professional journey reflects a blend of deep theoretical insight and applied research excellence, marking him as an influential figure in modern physics and geoscience research.

Profiles: Scopus | Orcid  | Google Scholar

Featured Publications

Karim, A., & Ahmad, S. (2015). Relativistic self-consistent mean-field description of Sm isotopes. Physical Review C.

Karim, A., & Ahmad, S. (2019). A self-consistent mean-field study of Z = 120 nuclei and α-decay chains of 292, 298, 299, 300, 304120 isotopes. Chinese Journal of Physics.

Karim, A., Yadav, H., & Ahmad, S. (2014). Design and simulation of LC based patch antenna @ 20 GHz frequency. AIP Conference Proceedings.

Karim, A., Yadav, H., & Sinha, A. (2013). Liquid Crystal Based Patch Antenna: Tunable Patch Antenna at 10 GHz Frequency. LAP Lambert Academic Publishing.

Karim, A., Naz, T., & Ahmad, S. (2018). Shape phase transitions and isotopic shift in barium isotopes within covariant density functional theory. International Journal of Modern Physics E.

Ashraf, T., Aziz, R., Khuwaja, A. M., Afaque, S. M., & Karim, M. (2020). Left ventricular aneurysmectomy in a young female with pseudoaneurysm of unknown etiology. Journal of the Saudi Heart Association.

Karim, A., Yadav, H., & Ahmad, S. (2015). Tunable nano dispersed LC based patch antenna. AIP Conference Proceedings.

Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

Mr. Mohammad Zahid | Cybersecurity Data Analysis | Young Scientist Award

Jamia Millia Islamia | India

Author Profile

Google Scholar

Mr. Mohammad Zahid

Junior Research Fellow | Ph.D. Scholar in Computer Science | Cybersecurity & AI Researcher

Summary

Mohammad Zahid is a motivated and research-focused computer science professional currently pursuing a Ph.D. in Computer Science at Jamia Millia Islamia, New Delhi. He is working as a Junior Research Fellow (JRF) with a specialization in IoT security, machine learning, deep learning, and federated learning. With strong analytical and technical skills, he is actively engaged in AI-driven cybersecurity research, aiming to develop intelligent systems for threat detection. Zahid is passionate about contributing to innovative and interdisciplinary projects in both academia and the tech industry.

Education

Mr. Zahid is currently enrolled in a Ph.D. program at Jamia Millia Islamia (Central University), New Delhi, with a research focus in computer science and AI. He holds a Master of Computer Applications (MCA) from Maulana Azad National Urdu University (MANUU), Hyderabad, where he graduated with an excellent academic record (87.6%). He also completed a Bachelor of Science (Hons) in Chemistry, Mathematics, and Physics from Aligarh Muslim University (AMU), Aligarh.

Professional Experience

As a Junior Research Fellow, Mr. Zahid is engaged in cutting-edge research related to cybersecurity and artificial intelligence. During his postgraduate studies, he developed a web-based fraud detection system that utilized machine learning algorithms to identify and visualize suspicious banking transactions. His hands-on experience includes technologies such as Java, MySQL, JavaScript, and HTML/CSS, with a strong foundation in data preprocessing and anomaly detection.

Research Interests

Mr. Zahid’s research interests span across IoT security, federated learning, machine learning, and deep learning. His current Ph.D. research is centered on AI-based cybersecurity frameworks, especially for detecting and mitigating threats in decentralized and IoT-based environments. He is particularly interested in applying federated learning models to preserve data privacy while improving detection efficiency in real-world systems.

Honors and Awards

Mr. Zahid was awarded the UGC Junior Research Fellowship (JRF) in Computer Science by the National Testing Agency (NTA) in March 2022, recognizing him among the top national-level researchers eligible for academic and research roles across Indian universities. He also received the Merit-cum-Means Scholarship for Professional Courses from the Ministry of Minority Affairs, Government of India, during his MCA studies (2018–2021), in acknowledgment of his academic performance and financial need.

Publications

 Empowering IoT Networks

Author: M Zahid, TS Bharati

Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025

Enhancing Cybersecurity in IoT Systems: A Hybrid Deep Learning Approach for Real-Time Attack Detection

Author: M Zahid, TS Bharati
Journal: Discover Internet of Things, Volume 5(1), Page 73
Year: 2025

 Comprehensive Review of IoT Attack Detection Using Machine Learning and Deep Learning Techniques

Author: M Zahid, TS Bharati
Journal: 2024 Second International Conference on Advanced Computing & Communication
Year: 2024

Empowering IoT Networks: A Study on Machine Learning and Deep Learning for DDoS Attack

Author: M Zahid, TS Bharati
Journal: Artificial Intelligence for Blockchain and Cybersecurity Powered IoT
Year: 2025