Dr Anil Hazarika

Dr Anil Hazarika

Assistant Professor

Ph.D. : PhD, M.Tech, M.Sc (Tezpur University, India)

Research Interests:

1. Artificial Intelligence in medical healthcare 2. High dimensional fusion 3. Biomedical Engineering 4. Medical diagnosis, portable device based medical diagnosis and embedded system 5. Biomedical instrumentation and measurement 6. Electronics and device theory 7. Sensor design for healthcare application
Date of Joining : Feb 14, 2020

Phone: +91 8638759860/6001513679
Email: anil.hazarika@cottonuniversity.ac.in

Vidwan Profile

About

Educational Qualifications:

1. M.Sc in Physics (Specialization: Electronics and photonics), Tezpur Central University 

2. M.Tech in Bioelectronics, Department of Electronics and Communication Engineering, Tezpur Central University 

3. PhD in Biomedical field, Department of Electronics and Communication Engineering, Tezpur Central University 2019

Academic achievement:

1. National eligibility Test (NET, Physics) conducted by CSIR.
2. Graduate Aptitude Test in Engineering (GATE), Physics.
3. State Level Eligibility Test (SLET), Physics.

Career Profile/Services:

1. Teaching/Technical from 2011-2020

My profiles:

1. Google scholar : https://scholar.google.com/citations?user=Uvn2T34AAAAJ&hl=en

Citations 676
h-index 16
i10-index 25

 

Experience

Teaching/Technical Experience:

1. 10-11 years
Association with Professional Bodies

Reviewers:
1. IEEE Transaction on Neural System and Learning
2. IEEE Transaction on instrumentation and Measurement
3. IEEE Transaction on neural System and rehabilitation
4. IEEE Transaction Industrial informatics
5. Elsevier measurement
6. Computer aided system and Diagnosis
 

Sophisticated Instrument operational skill:
1. Transmission Electron Microscope (TEM)
2. BET surface and pore size analyser
3. Scanning Electron Microscope (SEM)
4. Single crystal X-ray Diffractometer (SXRD)
5. Powder X-ray Diffractometer (PXRD)
6. Raman Spectrophotometer
7. Atomic Absorption Spectrophotometers (AAS)
8. Fourier-transform infrared Spectrophotometers (FTIR)

Research Projects

Update soon

Research paper publications till 2021

[1] A. Singh, Anil Hazarika, M. Bhuyan, L. Dutta, Model-based Derivation of Electrical parameters and Impedance Study of Two-electrode Copper Nanoparticle-based Pencil-drawn Glucose Sensor IEEE Transactions on Industrial Informatics, 2023 (Accepted) [Impact factor =12.3].

[2]  A. Subasi, A. Saikia, K. Bagedo, A. Singh, and A. Hazarika*. EEG Based Driver Fatigue Detection Using FAWT and Multiboosting approaches,  IEEE Transactions on Industrial Informatics, Vol. 18(10),  pp. 6602 - 6609, 2022 [Impact factor =12.3].

[3]  A. Singh, A. Hazarika*, C. Talukdar, M. Bhuyan, L. Dutta, M. Barthakur,  K.  Chakraborty, Microcontroller-based Online Nerve Parameter Estimation For Diagnosis of Healthy Subject Using Real-Time NCS Signal Acquired Using Voltage Controlled Neurostimulator. IEEE Transactions on Industrial Informatics, Vol. 17(11), pp.7546-7553, 2021,  [Impact factor =12.3].

[4] A. Hazarika*, P. Barman, C. Talukdar, L. Dutta, A. Subasi, M. Bhuyan, Real-Time Implementation of a Multi-domain Feature Fusion Model Using Inherently Available Large Sensor Data, IEEE Transactions on Industrial Informatics, Vol. 15, No. 12, pp. 6231 – 6239, 2019 [Impact factor =12.3].

[5]  L. Dutta, C. Talukdar, A. Hazarika and M. Bhuyan. A Novel Low-Cost Hand-Held Tea Flavor Estimation System. IEEE Transactions on Industrial Electronics, vol. 65, no. 6, pp. 4983-4990, 2018 [Impact factor=8.236].

[6] M. Sharma, B. Das, J. C. Sarmah, A. Hazarika, B. K. Deka, Y.B. Park, and K. K. Bania. Fractal to monolaye rgrowth of AgCl and Ag/AgCl nanoparticles on vanadium oxides (VO x) for visible-light photocatalysis. Journal of Materials Chemistry A, vol. 5, no. 32, pp. 16953-16963, 2017. [Impact factor=14.50]

[7] M. Sharma, B. Das, M. J. Baruah, S. Biswas, S. Roy, A. Hazarika, S. K. Bhargava, and K. K. Bania Pd-Au-Y as Efficient Catalyst for C-C Coupling Reactions, Benzylic C-H Bond Activation and Oxidation of Ethanol for Synthesis of Cinnamaldehydes, ACS Catalysis, Vol. 9, no. 7, pp. 5860–5875, 2019 [Impact factor=13.70].

[8] M. Gohain, K. Laskar, AK Paul, N. Daimary, M. Maharana, IK Goswami, A. Hazarika, U. Bora, D. Deka.  Caricapapaya stem: A source of versatile heterogeneous catalyst for biodiesel production and C–C bond formation. Renewable Energy. Vol, 147, pp. 541-55, 2020 [Impact factor=8.60]

[9] B. Das, M. Sharma, B. K. Deka, A. Hazarika, Y. B. Park, S. K. Bhargava, and K.K. Bania. Facile synthesis of 1D-architecture of silver-vanadates in carbon nest for enhanced visible light driven photo-oxidation process. Journal of Environmental Chemical Engineering, vol. 6, no. 2, pp. 3167-3176, 2018. [Impact factor=7.968]

[10] Amarprit Singh, Anil Hazarika, Lachit Dutta, Abhishruti Bhuyan, Manabendra Bhuyan,  A fully handwritten-on-paper copper nanoparticle ink-based electroanalytical sweat glucose biosensor fabricated using dual-step pencil and pen approach. Analytica Chimica Acta 2022, Sep 22;1227:340257. [Impact factor =6.90].

[11] B. Das, M. Sharma, C. Kashyap, A. K. Guha, A. Hazarika, and K. K. Bania. Substrate Oxidation Prompted by Solvent Dissociation: The Role of Peroxo-Vanadate and Ag-π Interaction. Applied Catalysis A: General, vol. 568, pp. 191-201, 2018. [Impact factor=5.706]

[12] M. Sharma, M. Sharma, A. Hazarika, L. Satyanarayana, G. V. Karunakar, and K. K. Bania. CCl bond activation with Pd (II)-NiO nanoparticles supported on zeolite-Y: The role of charge transfer transition. Molecular Catalysis, vol. 432, pp. 210-219, 2017 (Editor choice paper). [Impact factor=5.067]

[13] A. Hazarika*, L. Dutta, M. Barthakur, and M. Bhuyan. A Multi-View Discriminant Feature Fusion based Non-Linear Process Assessment and Diagnosis: Application to Medical Diagnosis. IEEE Transactions on Instrumentation and Measurement, Vol. 68, no. 7, pp. 2498 – 2506, 2019, [Impact factor=5.33].

[14] A. Hazarika*, M. Barthakur, L. Dutta, and M. Bhuyan, F-SVD based algorithm for variability and stability measurement of Bio-Signals, feature extraction and fusion for pattern recognition. Biomed Signal Processing and Control, vol. 47, pp. 26-40, 2019 [Impact factor=5.076].

[15] H. Lahan, R. Boruah,  A. Hazarika, and S. K. Das. Anatase TiO2 as an Anode Material for Rechargeable Aqueous Aluminum-Ion Batteries: Remarkable Graphene Induced Aluminum Ion Storage Phenomenon. The Journal of Physical Chemistry C, vol. 121, no. 47, pp. 26241-26249, 2017. [Impact factor=4.189]

[16] M. Sharma, B. Das, A. Hazarika, N. R. Mangina, G. V. Karunakar, and K. K. Bania An indirect approach for encapsulation of chiral cobalt catalyst in microporous Zeolite-Y. Microporous and Mesoporous Materials, vol. 272, pp. 31-39, 2018. [Impact factor=5.876]

[17] B. Choudhury, K. K. Paul, D. Sanyal, A. Hazarika and P. K. Giri. Evolution of Nitrogen-Related Defects in Graphitic Carbon Nitride Nanosheets Probed by Positron Annihilation and Photoluminescence Spectroscopy. The Journal of Physical Chemistry C, vol. 122, no. 16, pp. 9209-9219, 2018 [Impact factor=4.189].

[18] P. Deka, A. Hazarika, R. C. Deka, and P. Bharali, Influence of CuO morphology on the enhanced catalytic degradation of methylene blue and methyl orange. RSC Advances, vol. 6, no. 97, pp. 95292-95305, 2016 [Impact factor=4.036]

[19] R. Mishra, J. Hazarika, A. Hazarika, B. Gogoi, R. Dubey, D. Bhattacharjee, K. N. Singh, and P. R. Alapati. Dielectric properties of a strongly polar nematic liquid crystal compound doped with gold nanoparticles. Liquid Crystals, pp. 1-11, 2018. [Impact factor=3.920]

[20] A. Hazarika*, L. Dutta, M. Barthakur, M. Bhuyan, and A. Subasi, A Supervised Ensemble Subspace Learning Model Based on Multi-view Feature Level Fusion for Classification of EMG Signals, IEEE Trans. Human-Mach.Syst., 2019. [Impact factor=3.332]

[21] L. Dutta, A. Hazarika, and M. Bhuyan. Nonlinearity compensation of DIC-based multi-sensor measurement. Measurement, vol. 126, pp. 13-21, 2018. [Impact factor=5.131]

[22] N. Chamuah, A. Hazarika, D. Hatiboruah, and P.Nath. SERS on paper: an extremely low cost technique to measure Raman signal. Journal of Physics D: Applied Physics, vol. 50, no. 48, pp. 485601, 2018. [Impact factor=3.409]

[23]M. Sharma, B. Das, A. Hazarika, A. K. Guha, S. K. Bhargava, and K. K Bania, PdO/CuO Nanoparticles on Zeolite-Y for Nitroarene Reduction and Methanol Oxidation, ACS Applied Nano Materials, vol. 2, no. 6, pp.3769-3779, 2019 [Impact factor=5.097]

[24] M. Barthakur, A. Hazarika*, and M. Bhuyan. Classification of peripheral neuropathy by using ANN based nerve conduction study (NCS) protocol. Int. J. Commun., vol. 5, no.1, pp. 31-35, 2014. [Impact factor=1.874]

[25] S. Kumar, A. K. Ojha, D. Bhorolua, J. Das, A. Kumar and A. Hazarika. Facile synthesis of CuO nanowires and Cu2O nanospheres grown on rGO surface and exploiting its photocatalytic, antibacterial and supercapacitive properties. Physica B: Condensed Matter, vol. 558, pp. 74-81, 2019. [Impact factor=2.988]

[26] A. Hazarika*, L. Dutta, M. Boro, M. Barthakur, and M. Bhuyan, An automatic feature extraction and fusion model: application to electromyogram (EMG) signal classification, Int. J. Multimed. Inf. Retr., vol. 7, no. 3, pp. 1-14, 2018 [Impact factor=2.50]

[27] M. Barthakur, A. Hazarika* and M. Bhuyan. A computer-assisted technique for nerve conduction study in ear lydetection of peripheral neuropathy using ANN. Journal of Electronics and Commun., vol. 4, no. 5, pp. 47-65, 2013 [Impact factor=2.88].

[28] L. Dutta, A. Hazarika, and M. Bhuyan. Microcontroller based e-nose for gas classification without using ADC. Sensor and Transducers, 202, 7: 38-45, 2016. [Impact factor=0.45]

[29] A. Hazarika*, Sarmah, A., Borah, R., Boro, M., Dutta, L., Kalita, P. and kumar dev Choudhury, B. Discriminant feature level fusion based learning for automatic staging of EEG signals. Healthcare Technology Letters. vol. 5, no. 6, pp. 226-230, 2018. [Impact factor=1.79]

[30] B. Das, M. Sharma, A. Hazarika, KK Bania. Self Assembled Monolayer Stabilized Gold-Vanadate Nanoflute for Water Splitting Reactions. ChemistrySelect. Vol. 4, no. 24, pp. 7042-50, 2019, [Impact factor=2.303]

[31] C. Talukdar, A, Hazarika, A. Singh, M. Barthakur and M. Bhuyan, Bio-feedback Neural Stimulator for NCS Applications. IET science and measurement, 2019 (under review). [Impact factor=1.788]

[32] C. Talukdar, A, Hazarika, A. Singh, N. Das and M. Bhuyan, A Biofeedback Based Auto-Controlled Neurostimulator Design for Proper NCS Signal Acquisition and Measurement. Int. J. Eng. and Adv. Technol, vol. 9, no. 3, pp 16-25, 2020

Conference Proceedings till 2021

[33] A. Hazarika*, M Barthakur, L. Dutta, and M. Bhuyan, Fusion of projected feature for classification of EMG patterns, IEEE Int. Conf. Advances and Innovations in Engineering, 69-74, India, 2016.

[34] A. Hazarika*, M Barthakur, L. Dutta, and M. Bhuyan, Multi-view Learning For Classification of EMG Template, IEEE Int. Conf.  Advances and Innovations in Engineering, 467-471, India, 2016.

[35]  A. Hazarika*, M Barthakur, L. Dutta, and M. Bhuyan, Noise-feature reduction and feature extraction technique for biomedical signal analysis. National Seminar on recent Trends and Future prospects of computer Science and Electronics, 21-22, India, 2015.

[36] A. Sharma, A. Hazarika, P. Kalita, B K Dev Choudhury: A Subspace Projection Based Feature Fusion: An Application to EEG Clustering. IEEE Int. Conf. Signal Processing and Communication, India, 2017, DOI: 10.1109/CSPC.2017.8305894

[37]  L. Dutta, A. Hazarika, and M. Bhuyan. Comparison of direct interfacing and ADC based system for gas identification using E-Nose.  IEEE Int. Conf.  iAccessibility to Digital World 15-19, India, 2016.

[38] Barthakur, M., A. Hazarika, and M. Bhuyan. Rule based fuzzy approach for peripheral motor neuropathy (PMN) diagnosis based on NCS data. IEEE Int. Conf.  Recent Advances and Innovations in Engineering, 1-9. India, 2014

[39]  C. Talukdar, A. Hazarika, A. Singh,M. Barthakur, and M. Bhuyan, Voltage Controlled Stimulator For Nerve Conduction Study, IEEE conf., India, 2018.

Chapters/Articles publications in Books (Research Oriented)

[40] A. Saikia, A. Hazarika*, B. Patir, and A. Singh. A Supervised Ensemble Subspace Learning Model Based on Multi-View Feature Fusion Employing Multi-Template EMG Signals, Recent Advancements in Multi-View Data Analytics, Springer, 2022

[41] L. Dutta, A. Hazarika*, M. Boro, and M. Bhuyan. Nonlinear Offset Measurement and Nullification for Effective Resistive Sensor Design. In Advances in Communication, Devices and Networking, 789-796. Springer, Singapore, 2018.

[42] A. Hazarika* and M. Bhuyan, A Two-fold subspace learning based feature fusion strategy for Classification of EMG and EMG spectrogram images. In Biologically Rationalized Computing Techniques For Image Processing Applications, 25:57-84, Springer, Cham., 2016.

[43] A. Hazarika* and M. Bhuyan, A Feature Fusion Based Discriminant Learning Model for Diagnosis Of Neuromuscular Disorders Using Single Channel Needle EMG Signal. Intelligent data analysis for biomedical applications: Challenge and Solutions, Elsevier, 49-66, 2018.

Research Scholars

Sl. No Name Research Topic Roll No
1 Mr Aditya Saikia Biomedical signal processing & Development of support system. PHY2091010
2 Mr Pranjal Borah ( Assistant Prof. , J.B College) Artificial Intellegence for medical health support system
3 Mr. Akashdeep Gogoi ( Assistant Prof. ) Medical signal processing
4 Mr Bikram Patir (Assistant Professor, College) Biomedical signal processing