
EXPERTISE INFORMATION
Research Group
- Medical Electronics and Instrumentation
Areas of Interest
- Biosensors, AI-based intelligent sensors
- Generative AI / Machine Learning for medical devices and applications
- Artificial Pancreas, Closed-loop Diabetes Management
- Biosignal recording and AI- based processing for therapuetics and prosthetics
- Neuromodulation, Vagus Nerve Stimulation, Electroceuticals, Neurochemical Sensors, systems (ASICs) for neural recording and stimulation
Mirza Khalid Baig Assistant Professor Grade-I
Biotechnology and Medical Engineering
baigm@nitrkl.ac.in
26
PUBLICATIONS4
SPONSORED PROJECTS1
CONSULTANCY PROJECTS4
DOCTORAL STUDENTS4
CONTINUING EDUCATIONPERSONAL INFORMATION
Mirza Khalid Baig
Assistant Professor Grade-I
Biotechnology and Medical Engineering
Room Number: BM-408
Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008
2018
Ph.D.
Bioelectronics for Closed Loop NeuromodulationCentre for Bio-Inspired Technology, Imperial College London
2011
M.Sc
Analogue and Digital Integrated Circuit Design (Biomedical Applications)Centre for Bio-Inspired Technology, Imperial College London
2010
B.Tech
Electronics and Communication EngineeringKIIT University
Teaching Experience
- Methods in Biostatistics (Theory), NIT Rourkela, 01 Jul 2023 - Present
- Pattern Recognition (Theory), NIT Rourkela, 03 Jan 2022 - Present
- Artificial Intelligence and Machine Learning (Theory), NIT Rourkela, 02 Dec 2020 - Present
- Soft Computing (Laboratory course), NIT Rourkela, 02 Dec 2020 - Present
- Biostatistics (Theory), NIT Rourkela, 01 Jul 2020 - Present
- Medical Embedded Systems (Theory), NIT Rourkela, 01 Jul 2020 - Present
- Matlab for Bioenengineering Analysis (Laboratory course), NIT Rourkela, 01 Jul 2020 - Present
Post Doctoral Research Experience
- Bioelectronics / Biosensors, Imperial College London, 02 Dec 2018 - 30 Jun 2020
Industrial Experience
- Bioelectronics - I2MOVE Project, Imperial College London, 01 May 2014 - 30 Nov 2018
- New Product Development - Embedded Systems, Ingenia Technology (UK) Ltd, 02 Jan 2012 - 01 May 2014
Laboratory Development
- Intelligent Biosensors and Microsystems Lab, NIT Rourkela, Biosensor functionalisation, Bioelectronic testing and validation facilities are available.
- Biosignal Recording Facility, NIT Rourkela, Biosignal recording equipment for EEG and EMG recording are available
Development and translation of a non-invasive, saliva & gingival crevicular fluid based sensor for management of diabetes Indian Council of Medical Research (ICMR)
- Principal Investigator
- 36
- Running Sponsored
Development of non-invasive glucose monitoring sensor ring for management or prevention of diabetes Department of Biotechnology (DBT)
- Principal Investigator
- 18
- Running Sponsored
Development of a force plate sensor cum kinematic sensor node for comprehensive gait profiling for early detection of locomotive syndrome. DST
- Co-Investigator
- 36
- Completed Sponsored
Implantable Closed-loop Diabetes Management System. DST
- Principal Investigator
- 24
- Completed Sponsored
Physiological Studies using Wearable EEG Monitoring Device Neurostellar
- Principal Consultant
- 04 Jul 2023 - 03 Jul 2024
- Completed Consultancy
Total Publications: 26
D. Kalita and M. K. Baig,"Multivariate glucose forecasting using deep multihead attention layers inside neural basis expansion networks", Journal of Biomedical and Health Informatics, IEEE, January 2025, 10.1109/JBHI.2025.3530461 Article
D. Kalita, H. Sharma, and M. K. Baig,"Continuous Glucose, Insulin and Lifestyle Data Augmentation in Artificial Pancreas using adaptive generative and discriminative models", IEEE Journal of Biomedical And Health Informatics, vol.28, no.8, pp.4963 - 4974, IEEE 2024, View Details Article
D. Kalita, S. Dash, and M. K. Baig,"Epinet: an optimized, resource efficient deep gru-lstm network for epileptic seizure prediction", Biomedical Engineering: Applications, Basis and Communications, vol.36, no.4, World Scientific 2024, View Details Article
S. Dash, A. K. Parida, K. Pal, and M. K. Baig,"Generative AI for Bio-Signal Analysis and Augmentation", Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges, ch.9, pp.9, Nova Science Publishers, January 2024, View Details Inbook
D. Kalita, H. Sharma, U. Naskar, B. K. Mishra, J. K. Panda, and M. K. Baig,"Deep learning for the closed loop diabetes management system", Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges, ch.10, pp.6, Nova Science Publishers, January 2024, View Details Inbook
Five Day Workshop on, "Human Movement Analysis using 3D Motion Capture System" Biotechnology and Medical Engineering (Workshop)
- Co-Coordinator
- 30 Jan 2023 - 03 Feb 2023
- Brochure
Karyashala, High-End Workshop on AI-APMED: Artificial Intelligence (AI) Aided Personalized Medicine and Drug Delivery Biotechnology and Medical Engineering (Workshop)
- Coordinator
- 05 Jan 2023 - 12 Jan 2023
- Brochure
High-End Workshop on: Next Generation Medical Devices: Focusing on therapeutic and diagnostics – Series 1, 2022 Biotechnology and Medical Engineering (Workshop)
- Co-Coordinator
- 07 Feb 2022 - 13 Feb 2022
- Brochure
National Bioengineering Conference 2022 Biotechnology and Medical Engineering (Conference)
- Coordinator
- 06 Jan 2022 - 07 Jan 2022
- Brochure
- BM2005 : Biostatistics {Theory}
- BM4601 : Medical Embedded Systems {Theory}
- BM4612 : Artificial Intelligence and Machine Learning {Theory}
- BM6035 : Methods in Biostatistics {Theory}
- BM6334 : Pattern Recognition {Theory}
- BM4704 : Soft computing Laboratory {Practical}
- BM4713 : MATLAB Programming for Bioengineering Analysis {Practical}
Ph.D. Students [4]
Biosensors, Medical electronics
Shirke Tushar BaneshwarEnrolled: Jul 2024ContinuingSupervisor
Biomechanics
Tharani KEnrolled: Aug 2021ContinuingCo-Supervisor
Bioelectronics and Algorithms for Biosensing Applications
Hrishita SharmaEnrolled: Aug 2021ContinuingSupervisor
Attention Learning and Generative Artificial Intelligence Platforms for Advanced Diabetes Management
Deepjyoti KalitaEnrolled: Sep 2020ContinuingSupervisor
Awards And Honours
- INSA Visiting Scientist 2024-25, 2024
- Faculty Advisor Appreciation Award, 2023
- SERB International Travel Support, 2023
Memberships / Fellowships
- Senior Member-IEEE, 2023
- Member - IEEE, 2021
- Member- SBOAI, 2021