Dr. Mohammad Luqman is a dedicated researcher with a Ph.D. in Computer Science from Aligarh Muslim University, specializing in Cryptography, Cybersecurity and Deep Learning with his thesis titled “A Study on Secure Data Transmission in Wireless Networks”. His research spans the domain of designing secure cryptographic systems for the IoT and Wireless Sensor Networks, as presented in his thesis through two interdisciplinary studies: one involving the integration of Deep Learning with a modified AES cipher, and the other featuring a hybrid model that combines the Diffie-Hellman system with Attribute-Based Encryption. He has proven high-quality publication record in reputed SCIE-indexed journals, He has two patents in the field of blockchain ledger security and IoT based plant disease identification which showcases his capability to turn theories into practice. he has profound knowledge of Lightweight Encryption, Blockchain Technology, Quantum Cryptography especially for securing wireless devices.

In the academic arena, Dr. Luqman has achieved more than 80% marks in both his master's and Ph.D. coursework exams, showcasing his academic excellence. He achieved academic scholarships like UGC-JRF and MANF national fellowships, and actively involved in more than twelve faculty development programs and workshops related to Cybersecurity, Artificial Intelligence, and IoT. A dedicated academic student and an innovative thinker, he has also presented his work to reputed International Academic Conferences and achieved success in academic competitions through participation in open quizzes.

Dr. Luqman is also equipped with latest and diverse technical skill set and is fluent in NodeJS, Python, Java, C, C++ etc. programming languages and advanced tools related to IoT simulation and Cryptography. He has also made significant effort in the establishment of IoT labs and has practical experience of using Raspberry Pi, Arduino and other IoT tools. His current research interest areas include the Lightweight Cryptography and secure framework for IoT Healthcare systems. His future research direction aims to solve modern security challenges through innovative research, He remains committed to advancing the fields of Information Security and Cryptographic Systems, with a focus on innovative and practical research that uses Multidisciplinary knowledge and frameworks.