Imran Khan

Imran Khan is an educator and researcher in Artificial Intelligence, currently pursuing his Ph.D. in Computer Science at Aligarh Muslim University, with research focused on deep learning and synthetic identity detection using Graph Neural Networks.

He has qualified UGC-NET and GATE and is a recipient of the prestigious Senior Research Fellowship (NFOBC), with multiple publications in SCI and Scopus-indexed journals and presentations at international conferences.

His expertise includes deep learning, machine learning, pattern recognition, and anomaly detection, with a focus on secure identity modeling and real-world problem-solving.

Imran Khan served as a Guest Teacher at Aligarh Muslim University from August 2024 to May 2025, where he taught Database Management Systems and conducted practical sessions on SQL and database design.

He also worked as a Lab Instructor in the Department of Computer Science at Aligarh Muslim University, mentoring postgraduate students in C++ programming and network simulation, and supporting project development.

Ph.D. (Submitted), Computer Science, Aligarh Muslim University.

Deep Learning, Machine Learning, Pattern Recognition, Anomaly Detection, Graph Neural Networks, Synthetic Identity Detection, Financial Fraud Detection, Secure Identity Modeling.

Prof. Imran Khan believes teaching is a responsibility and emphasizes clarity, discipline, and strong foundational learning.

He encourages interactive and student-centered learning, promoting curiosity, questioning, and real-world application of knowledge.

He fosters a collaborative classroom environment that supports teamwork, participation, and the development of confident and responsible professionals.

Database Management Systems, Pattern Recognition, Linux, Operating Systems, C++ Programming, Network Simulation with Cisco Packet Tracer.

Recipient of Senior Research Fellowship (NFOBC), UGC.

UGC-NET Qualified and GATE Qualified in Computer Science.

Merit Scholarship recipient at Aligarh Muslim University and Grade A in Horsemanship Examination.

Prof. Imran Khan has published research papers in SCI and Scopus-indexed journals and presented at international conferences such as INDIACom, ICECI, CLIP, and ICASET.

His research focuses on deep learning, financial fraud detection, synthetic identity detection, and graph-based learning models.

He also serves as a reviewer for Springer and Wiley journals and contributes to international conferences, supporting academic research and peer review processes.

imran.khan1@ddn.upes.ac.in