National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

ORCID ID
Scopus ID
Researcher ID
Google Scholar ID

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

Biosketch

26

PUBLICATIONS

4

SPONSORED PROJECTS

1

CONSULTANCY PROJECTS

4

DOCTORAL STUDENTS

4

CONTINUING EDUCATION

PERSONAL 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 Neuromodulation
Centre 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 Engineering
KIIT 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


GOOGLE SCHOLAR H-INDEX
GOOGLE SCHOLAR I10-INDEX
SCOPUS H-INDEX
Total Publications: 26
View All Publications

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)
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)

  • 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 Baneshwar
Enrolled: Jul 2024
Continuing
Supervisor
Biomechanics
Tharani K
Enrolled: Aug 2021
Continuing
Co-Supervisor
Bioelectronics and Algorithms for Biosensing Applications
Hrishita Sharma
Enrolled: Aug 2021
Continuing
Supervisor
Attention Learning and Generative Artificial Intelligence Platforms for Advanced Diabetes Management
Deepjyoti Kalita
Enrolled: Sep 2020
Continuing
Supervisor

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