baigm

Academic Identity

Orcid Id

Scopus Id

Researcher Id

Google Scholar Id

Mirza Khalid Baig

Assistant Professor Grade-II

Biotechnology and Medical Engineering

baigm[at]nitrkl.ac.in

Biosketch

18

Publications

2

1

Consultancy Projects

3

Doctoral Students

4

Continuing Education

5

PG Dissertation

Personal Information

Dr. Mirza Khalid Baig

Assistant Professor Grade-II

Biotechnology and Medical Engineering

Joined in Jul 2020

Room Number: BM-408

Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

Education Qualification

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

Experience

Teaching Experience

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

Expertise Information

Research Group

Medical Electronics and Instrumentation

Areas of Interest

Neuromodulation, Electroceuticals - New methods to treat diseases through interventions on the nervous system. , Neurochemical Sensors, systems (ASICs) for neural recording and stimulation , Neuromorphic AI / Machine Learning for medical devices and applications - AI / Machine Learning algorithms for 'personalized' neuromdulation , Vagus Nerve Stimulation , Biosensors - electrochemical biosensors, monitoring ionic and electrical activity on peripheral nerves

Projects

Development of a force plate sensor cum kinematic sensor node for comprehensive gait profiling for early detection of locomotive syndrome.

DST

Co-Investigator

36 months

Running

Continuing Education

National Bioengineering Conference 2022

Biotechnology and Medical Engineering

Coordinator

06 Jan 2022 - 07 Jan 2022

Brochure

Conference

Five Day Workshop on, "Human Movement Analysis using 3D Motion Capture System"

Biotechnology and Medical Engineering

Coordinator

30 Jan 2023 - 03 Feb 2023

Brochure

Workshop

Karyashala, High-End Workshop on AI-APMED: Artificial Intelligence (AI) Aided Personalized Medicine and Drug Delivery

Biotechnology and Medical Engineering

Coordinator

05 Jan 2023 - 12 Jan 2023

Brochure

Workshop

High-End Workshop on: Next Generation Medical Devices: Focusing on therapeutic and diagnostics – Series 1, 2022

Biotechnology and Medical Engineering

Coordinator

07 Feb 2022 - 13 Feb 2022

Brochure

Workshop

Publications

Google Scholar h-index

Google Scholar i10-index

Scopus h-index

Total Publications: 18

H. Sharma, D. Kalita, U. Naskar, B. K. Mishra, P. Kumar, and M. K. Baig, "Prediction of Glucose Sensor Sensitivity in the presence of Biofouling using Machine Learning and Electrochemical Impedance Spectroscopy", IEEE Sensors Journal, vol.23, no.16, pp.18785-18797, IEEE, August 2023, 10.1109/JSEN.2023.3289619 Article

S. Dash, D. Kalita, and M. K. Baig, "Analysis of differences in EEG Signal features between Visual Imagery and Perception", in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), no.1-6, IEEE, April 2023, 10.1109/I2CT57861.2023.10126204 Inproceedings

D. Bhor, T. K, M. G. S, B. K. Mishra, D. Kalita, A. Thirugnanam, and M. K. Baig, "Responsive Transcutaneous Electrical Stimulation for Management of Diabetic Foot Neuropathy", in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp.1-6, IEEE, April 2023, 10.1109/I2CT57861.2023.10126247 Inproceedings

H. Sharma, D. Kalita, U. Naskar, B. K. Mishra, R. Panda, and M. K. Baig, "Multimodal Simultaneous Amperometry and Electrochemical Impedance Spectroscopy Measurement for Biosensing Applications", in 2022 IEEE 19th India Council International Conference (INDICON), no.1-5, IEEE, November 2022, 10.1109/INDICON56171.2022.10040164 Inproceedings

D. Kalita and M. K. Baig, "Physical Activity Classification with Smartphone based Accelerometer, Gyroscope and Device Motion for Personal Diabetes Healthcare Management", in 2022 IEEE 19th India Council International Conference (INDICON), no.1-6, IEEE, November 2022, 10.1109/INDICON56171.2022.10039967 Inproceedings

Show All Publications(+)

C. Fr, M. K. Baig, S. D. Mateo, L. Miglietta, J. R. Manzano, K. Nikolic, and C. Toumazou, "A Point-of-Care Device for Fully Automated, Fast and Sensitive Protein Quantification via qPCR", Biosensors, vol.12, no.7, pp.537, MDPI, July 2022, 10.3390/bios12070537 Article

D. Kalita and M. K. Baig, "Glucose Prediction using Wide-Deep LSTM Network for Accurate Insulin Dosing in Artificial Pancreas", in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp.4426-4429, IEEE, July 2022, 10.1109/EMBC48229.2022.9870983 Inproceedings

M. G. S, R. K. Avvari, M. K. Baig, and A. Thirugnanam, "Gait Analysis: An Effective Tool to Measure Human Performance", Advances in Computational Approaches in Biomechanics, ch.4, pp.65-87, IGI Global, March 2022, 10.4018/978-1-7998-9078-2.ch004 Inbook

T. K, M. K. Baig, R. K. Avvari, and A. Thirugnanam, "Injury Prevention and Improving the Performance of Athletes", Advances in Computational Approaches in Biomechanics, ch.7, pp.100-120, IGI Global, March 2022, 10.4018/978-1-7998-9078-2.ch007 Inbook

D. Kalita and M. K. Baig, "LS-GRUNet: Glucose Forecasting Using Deep Learning for Closed-loop Diabetes Management", in 2022 IEEE 7th International conference for Convergence in Technology (I2CT), IEEE, Mumbai, India 2022, 10.1109/I2CT54291.2022.9824867 Inproceedings

E. Occhipinti, M. K. Baig, and C. Toumazou, "Personalised trainer recommendation based on physical activity and genetic profile", in 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), pp.1-4, IEEE, July 2021, 10.1109/BHI50953.2021.9508613 Inproceedings

F. R. Cavallo, M. K. Baig, S. M. Lopez, J. R. Manzano, K. Nikolic, and C. Toumazou, "A Point-of-Care Device for Sensitive Protein Quantification", in 2021 IEEE International Symposium On Circuits and Systems (ISCAS), IEEE 2021 Inproceedings

F. R. Cavallo, M. K. Baig, S., K. Nikolic, J. Rodriguez, and C. Toumazou, "aptasensor for quantification of leptin through pcr amplification of short dna-aptamers", acs sensors, vol.6, no.3, pp.709--715, american chemical society 2021, 10.1021/acssensors.0c02605 Article

Z. Han, F. Cavallo, K. Nikolic, M. K. Baig, and C. Toumazou, "Signal Identification of DNA Amplification Curves in Custom-PCR Platforms", in 2021 ieee international symposium on circuits and systems (iscas), pp.1--5 2021 Inproceedings

P. Kumar, M. K. Baig, C. Kaushik, C. Magali, M. Henning, and S. Pratyoosh, "Tissue regeneration through cyber-physical systems and microbots", Advanced Functional Materials, vol.31, pp.2009663, John Wiley & Sons 2021, 10.1002/adfm.202009663 Article

P. Roever, M. K. Baig, K. Nikolic, and C. Toumazou, "A Convolutional Neural Network for Classification of Nerve Activity Based on Action Potential Induced Neurochemical Signatures", in 2020 IEEE International Symposium on Circuits and Systems (ISCAS), pp.1-5, IEEE 2020, 10.1109/ISCAS45731.2020.9180734 Inproceedings

K. Wildner, M. K. Baig, B. L. Franier, S. Cork, C. Toumazou, M. Thompson, and K. Nikolic, "Iridium oxide-based potassium sensitive microprobe with anti-fouling properties", IEEE Sensors Journal, vol.20, no.21, pp.12610-12619, IEEE 2020, 10.1109/JSEN.2020.3003040 Article

Ran. Cheng, M. K. Baig, and K. Nikolic, "neuromorphic robotic platform with visual input, processor and actuator, based on spiking neural networks", Applied System Innovation, vol.3, no.2, pp.28, MDPI 2020, https://doi.org/10.3390/asi3020028 Article

Hide Publications (-)

Courses Taught

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}

Research Scholars

Ph.D. Students [3]

Bioelectronics and AI/ML for medical devices

Deepjyoti Kalita

Enrolled: Sep 2020

Continuing

Supervisor

Bioelectronics and Algorithms for Biosensing Applications

Hrishita Sharma

Enrolled: Aug 2021

Continuing

Supervisor

Biomechanics

Tharani K

Enrolled: Aug 2021

Continuing

Co-Supervisor

Dissertations

PG Dissertation

Rohit Ranjan Singh (220BM1142), "Prediction of Epileptic Seizures using Deep Neural Networks" - M.Tech. Supervisor 2021-22 Spring
Sonjoy Roy Choudhury (220BM2092), "Development of personalised Insulin Dose Calculation Algorithm for closed loop diabetes management" - M.Tech. Supervisor 2021-22 Spring
Darshan Manohar Bhor (221BM1003), "Design of an Electronic System for Active Transcutaneous Neuromuscular Electrical Stimulation for Prevention and Treatment of Diabetic Foot Neuropathy" - M.Tech. Supervisor 2022-23 Spring
Rajeshwari Sajith (221BM1604), "Nutrient Estimation from Images of Food for Diet Management in Diabetic Patients" - M.Tech. Supervisor 2022-23 Spring
Shiyona Dash (221BM1006), "Modelling Mental Imagery using Generative Adversarial Networks and EEG" - M.Tech. Supervisor 2022-23 Spring

UG Dissertation

Subhrajyoti Sankar Sau (118BT0631), "Development of physical activity classification and T1D patient monitoring system using Cloud-based platform" - B.Tech. Supervisor 2021-22 Spring
Abhranta Panigrahi (119BM0009), "MRI Based MGMT promoter methylation detection using Deep Learning" - B.Tech. Supervisor 2022-23 Spring
Ashis Kumar Parida (119BM0800), "Optimising Therapeutic Neural Stimulation Using Machine Learning For Electroceuticals" - B.Tech. Supervisor 2022-23 Spring
Chandan Khatua (119BM0794), "Development of NFC and Bluetooth based app for multisensor, multimodal diabetes management" - B.Tech. Supervisor 2022-23 Spring
Ritik Panda (119BT0814), "Development of Anti-Biofouling Coatings for Wearable Continuous Glucose Monitoring (CGM) Sensors" - B.Tech. Supervisor 2022-23 Spring

Awards and Honours

Faculty Advisor Appreciation Award, 2023
SERB International Travel Support, 2023

Memberships / Fellowships

Senior Member-IEEE, 2023
Member - IEEE, 2021
Member- SBOAI, 2021

Academic Identity

Orcid Id

Scopus Id

Researcher Id

Google Scholar Id

Mirza Khalid Baig

18

Publications

2

Sponsored Projects

1

Consultancy Projects

3

Doctoral Students

4

Continuing Education

5

PG Dissertation

Personal Information

Dr. Mirza Khalid Baig

Education Qualification

Experience

Teaching Experience

Post Doctoral Research Experience

Industrial Experience

Expertise Information

Research Group

Areas of Interest

Projects

Continuing Education

Publications

Google Scholar h-index

Google Scholar i10-index

Scopus h-index

Total Publications: 18

Courses Taught

Research Scholars

Ph.D. Students [3]

Dissertations

PG Dissertation

UG Dissertation

Awards and Honours

Awards and Honours

Memberships / Fellowships