Mr. Bilal Ahmad Mir | Electronics | Best Researcher Award
Ph.D, Jeonbuk National University, South Korea
Bilal Ahmad Mir is a passionate and self-driven Ph.D. scholar at the NSCL Lab, Jeonbuk National University, South Korea. With a robust academic and research background, he is known for his interdisciplinary expertise spanning artificial intelligence, computational biology, and cloud computing. A quick learner and creative problem-solver, Bilal actively participates in workshops, internships, and volunteer activities while also contributing significantly to scientific research through quality publications and presentations. 🌐
Professional Profile
🎓 Education
Bilal earned his Bachelor’s degree in Science from Sri Pratap College, Srinagar, majoring in Mathematics, Electronics, and IT. He pursued his Master of Computer Applications (MCA) at the Islamic University of Science and Technology, Awantipora, with a strong focus on AI, ML, and Cloud Computing. Currently, he is pursuing his Ph.D. in Electronics and Info Engineering at Jeonbuk National University, South Korea, where he is affiliated with the NSCL lab. 🏫
💼 Experience
With hands-on experience in both academic and real-world projects, Bilal completed internships at institutions such as CDAC Mohali and various NGOs. His MCA dissertation involved developing an intelligent face recognition system using Raspberry Pi. He also held roles involving fundraising and HR policy development during his internships at NBNWS and Naya Sewara. His proactive engagement in seminars, workshops, and technical training further illustrates his deep commitment to learning and leadership. 🖥️
🔬 Research Interests
Bilal’s research interests include Artificial Intelligence, Deep Learning, Machine Learning, Cloud Computing, Computational Biology, and Computational Chemistry. His research contributions aim to apply machine learning and neural networks to biological and chemical problems, showcasing his interdisciplinary approach to solving complex challenges in science and technology. 🧬
🏆 Awards
📚 Top Noted Publications
Improving enhancer identification with a multi-classifier stacked ensemble model (2023) – Journal of Molecular Biology, Vol 435(23), 168314
➡️ Read – Cited by 7 articles
Sb-net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis (2023) – Computational Biology and Chemistry, Vol 112, 108130
➡️ Read – Cited by 5 articles
GRU-Based Prediction of RNA 5-Hydroxymethylcytosine Modifications (2023) – 정보 및 제어 논문집 (Journal of Info and Control), pp. 345–346
➡️ Read (Korean) – Cited by 3 articles