Faculty

Asif Iqbal is an experienced educator and researcher having specialization in digital communication, signal processing, and machine learning. He holds a B.E. in Electronics and Communication Engineering and an M.Tech. in Digital Communication from RGPV Bhopal and Ph.D(pursuing) from BML Munjal University. He currently serves as a Faculty Associate at BML Munjal University (BMU), Gurugram, where he blends over two decades of academic expertise with cutting-edge research in biomedical signal analysis.

His primary research focus lies in healthcare and artificial intelligence, specifically EEG Signals Classification using Machine Learning. His ongoing doctoral work targets Brain Signals to Text Classification using ML & Genetic Programming. His research is featured in top-tier publications including ACM Computing USA, IEEE, Journal of Healthcare Engineering (Wiley), IGI, Benthem Science and CRC Press. He has presented his work at various IEEE and Springer-sponsored conferences at prestigious institutions. He also holds a registered Design Patent with the IPO, United Kingdom.

At BMU, his teaching involves core and advanced courses, including Machine Learning, Linear Integrated Circuits, Digital Signal Processing, Digital Communication, Digital Electronics & Logic Design, and Basic Electrical and Electronics Engineering.

He recently served as a Session Chair at BMU Stelmar 2026 and is a recipient of the prestigious Guru Samman Award 2015 by Patrika News, Rajasthan. and frequently contributed to institute/university administration in various responsibilities like department head, exam superintendent, project coordinator and observer in many competitive exams conducted by PEB Bhopal.

• Graduation In: Bachelor of Engineering Electronics and Communication Engineering
• Graduation From: RGPV Bhopal (M.P)
• Graduation Year: 2004

• Post Graduation In: Master in Engineering Digital Communication
• Post Graduation From: RGPV Bhopal (M.P)
• Post Graduation Year: 2013

• Doctorate In: Doctorate in Philosophy Electronics and Communication Engineering
• Doctorate From: BML Munjal University, Gurugram Haryana
• Doctorate Year: Pursuing

• Machine Learning
• Linear Integrated Circuits
• Digital Signal Processing
• Digital Communication
• Digital Electronics & Logic Design
• Basic Electrical and Electronics Engineering

• My research mainly focus on EEG Signals Classification using Machine Learning & Signal Processing. Currently, I am working on, Brain Signals to Text Classification.

• A. Iqbal, A. K Suhag, N.Kumar, A. Bhardwaj, “Use of BCI Systems in the Analysis of EEG Signals,” ACM Computing
  Survey, Association for Computing Machinery, United States, 2025, doi: 10.1145/3757732.
• A. Iqbal, AK Suhag, A. Bhardwaj, “Machine Learning Based Comparative Analysis of EEG Data,” IEEE Xplore, 2025, doi:
  0.1109/IC3ECSBHI63591.2025.10991188.
• A. Iqbal A.K Suhag, A. Bhardwaj, P. Choudhary “CNN Based Vowel Identification Using Four Channel EEG Datasets,” IEEE
  Xplore, 2025, doi: 10.1109/ICAET63349.2025.10932161 .2025.10991188.
• Aditi Sakalle, Pradeep Tomar, Harshit Bhardwaj, Asif Iqbal, Maneesha Sakalle, Arpit Bhardwaj, Wubshet Ibrahim
  “Genetic Programming-Based Feature Selection for Emotion Classification Using EEG Signal,” Journal of Healthcare
  Engineering, Wiley 2022, doi: 10.1109/ICAET63349.2025.10932161 .2025.10991188.
• A. Iqbal, Khushboo Nirajkumar Trivedi, Bhasha Anjaria, Komal Prasad Kanojia “A Computer Device with Graphical
  Interface for Augmented Cognitive Analysis,” Design Patent Registered in IPO United Kingdom, 2026, Registration
  Number: 6519071.
• A. Bhardwaj, A. Iqbal, P.Tomar, A.K Suhag, “Machine Learning Based Assessment of EEG to Text Classification
  Performance with Single-Channel Digit Datasets,” InCITe-2026 AMITY Springer-Scopus Indexed. (Accepted)
• A. Iqbal , A.K Suhag, A Bhardwaj “Neural Decoding of Four Channel EEG Digit Dataset Using Adaptive Time–Frequency
  Decomposition and Stacked Learning,” Mind, Brain, and Consciousness Conference IIT Mandi 2026 Springer-Scopus
  Indexed. (Accepted)
• Syed Ibad Ali, Pabitra Kumar Nandi, Marwana Sayed, Smita Shahane, Asif Iqbal “Utilizing Digital Twin Technologies to
  Integrate AI’s Unrealized Potential With Digital Public Health Initiatives,” 2024 IGI Published Book Chapter:
  Harnessing AI and Digital Twin Technologies in Businesses, doi: 10.4018/979-8-3693-3234-4.
• Mohd. Shahnawaaz Shaikh, Asif Iqbal “Deep Learning Strategies for Enhanced Diagnostic Accuracy: Transforming
  Prostate Cancer Detection and Diagnosis through Smart and Intelligent Technologies,” 2026 Benthem Science (Scopus
  Indexed) Book Chapter. (Accepted)
• Mohd. Shahnawaaz Shaikh, Asif Iqbal “Secure, Ethical, and Explainable AI Agents: Agentic AI, AI Agents and Quantum
  AI Agents: Transformative,” 2026 CRC Press (Scopus Indexed) Book Chapter. (Accepted)

• Was on HOD position in Electronics and Comm. Engineering at SDITS Khandwa (M.P). Apart from teaching I was involved in institutional planning and policy making during the tenure.
• Achiever of ‘GURU-SAMMAAN AWARD’ for ‛Best Faculty’ from Patrika Group of News Media Rajasthan in the year 2015
• Nodal Officer at SDITS, Khandwa for ARIIA under IIC, which is an AICTE, Delhi initiative.
• Deputed as an Observer in various professional entarance exams conducted by PEB (Professional Examination Board) Bhopal (M.P)
• Was Project Coordinator of SIT (Satellite Interactive Terminal) at SDITS Khandwa. The project was a joined work of ISRO Bangalore and RGPV Bhopal for connecting all the engineering colleges of M.P through satellite link.
• Played an instrumental role in conduction of examinations for RGPV Bhopal at SDITS Khandwa, as an Superintendent of Exam for more than 10 Years.
• Session chair at BMU Stelmar 2026