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Dr. Barenya Bikash Hazarika

Dr. Barenya Bikash Hazarika

Assistant Professor

  • Faculty of Engineering

About

Name: Specialization:
Dr. Barenya Bikash Hazarika Supervised machine learning, class imbalance learning, sediment load estimation

Qualification

Sl No QUalification Affiliation Year
1 PhD NIT Arunachal Pradesh 2022
2 MTech Assam Don Bosco University 2017
3 BE Gauhati University 2014

 

Personal Interest

Singing

Working Experience

Sl No Designation Affiliation Time Period
1 Assistant Professor KL University Jan 2022-July 2023
2 SRF/JRF NIT Arunachal Pradesh May 2018-Mar 2021
3 Assistant Professor NITS Mirza Aug 2017-May 2018
4 Guest Faculty Amtron Mar 2015-Dec 2016

 

Research

Sl No Paper Title Authors Journal Name Major Indexing Impact Factor
1 1-Norm Twin Random Vector Functional Link based on Universum Data for Leaf Disease Detection Sarkar, Chittabarni, Deepak Gupta and Barenya Bikash Hazarika Applied Soft Computing SCIE 8.7
2 Fuzzy Twin Kernel Ridge Regression Classifiers for Liver Disorder Detection Gupta, Deepak, Barenya Bikash Hazarika and Parashjyoti Borah International Journal of Business Intelligence and Data Mining Scopus NA
3 Automatic diagnosis of COVID-19 from Chest X-ray images using transfer learning-based deep features and machine learningmodels. Kumar, Vikash, Arpit Gupta, Barenya Bikash Hazarika and Deepak Gupta China Communications SCIE, Scopus 3.17
4 Robust support vector quantile
regression with truncated pinball loss		 Hazarika, Barenya Bikash, Deepak Gupta and Parashjyoti Borah Computational and Applied Mathematics SCIE, Scopus 2.6
5 Mode decomposition based large margin distribution
machines for sediment load prediction		 Hazarika, Barenya Bikash and Deepak Gupta Expert Systems with Applications SCIE, Scopus 8.5
6 Leaf disease detection using machine learning and deep learning: Review and challenges Sarkar, Chittabarni, Deepak Gupta, Umesh Gupta and Barenya Bikash Hazarika Applied Soft Computing SCIE, Scopus 8.7
7 Fuzzy twin support vector machine based on affinity and class probability for class imbalance learning Hazarika, Barenya Bikash, Deepak Gupta and Parashjyoti Borah Knowledge and Information Systems SCIE, Scopus 2.7
8 EEG signal classification using a novel Universum-based twin parametric-margin support vector machine Hazarika, Barenya Bikash, Deepak Gupta and Bikram Kumar Cognitive Computation SCIE, Scopus 5.4
9 Affinity based fuzzy kernel ridge regression classifier for binary class imbalance learning Hazarika, Barenya Bikash and Deepak Gupta Engineering Applications of Artificial Intelligence SCIE, Scopus 8
10 Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: A case study Ikram, Rana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta, Salim Heddam and Ozgur Kisi Neural Computing and Applications SCIE, Scopus 6
11 Intuitionistic fuzzy random vector functional link classifier Mishra, Upendra, Deepak Gupta and Barenya Bikash Hazarika NeuralProcessing Letters SCIE, Scopus 3.1
12 Improved twin bounded large margin distribution machines for classification Hazarika, Barenya Bikash and Deepak Gupta Multimedia Tools and Applications SCIE, Scopus 3.6
13 1 norm random vector functional link for classification problems Hazarika, Barenya Bikash and Deepak Gupta Complex and Intelligent Systems SCIE 5.8
14 Wavelet kernel least squares twin support vector regression for wind speed prediction Hazarika, Barenya Bikash, Deepak Gupta and Narayan Natarajan Environmental Science and Pollution Reseach SCI, Scopus 5.8
15 Random Vector functional link with epsilon insensitive Huber loss for biomedical data classification Hazarika, Barenya Bikash and Deepak Gupta Computer Methods and Programs in Biomedicine SCIE, Scopus 6.1
16 Density weighted twin support vector machines for
binary class imbalance learning		 Hazarika, Barenya Bikash and Deepak Gupta NeuralProcessing Letters SCIE, Scopus 3.1
17 An intuitionistic fuzzy kernel ridge regression classifier for binary classification. Hazarika, Barenya Bikash, Deepak Gupta and Parashjyoti Borah Applied Soft Computing SCIE, Scopus 8.7
18 Density-weighted support vector machines for binary class imbalance learning. Hazarika, Barenya Bikash and Deepak Gupta Neural Computing and Applications SCIE, Scopus 6
19 Artificial intelligence for suspended sediment load prediction: a review Gupta, Deepak, Barenya Bikash Hazarika, Mohanadhas Berlin, Usha Mary Sharma, and Kshitij Mishra Environmental Earth Sciences  SCIE, Scopus 2.8
20 Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks Hazarika, Barenya Bikash and Deepak Gupta Applied Soft Computing SCIE, Scopus 8.7
21 Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet con-
junction		 Hazarika, Barenya Bikash, Deepak Gupta, and Mohanadhas Berlin Environmental Earth Sciences  SCIE, Scopus 2.8
22 A coiflet LDMR and coiflet OB-ELM for river suspended sediment load prediction Hazarika, Barenya Bikash, Deepak Gupta, and Mohanadhas Berlin International Journal of Environmental Science and Technology SCIE, Scopus 3.1
23 Robust regularized extreme learning machine with asymmetric Huber loss function Gupta, Deepak, Barenya Bikash Hazarika and Mohanadhas Berlin Neural Computing and Applications SCIE, Scopus 6
24 MODWT-Random vector functional link for river suspended sediment load prediction Hazarika, Barenya Bikash and Deepak Gupta Arabian Journal of Geosciences  NA NA
25 A Comparative Analysis of Some Discretization Techniques Using Mutual Information and Transfer Entropy Hazarika, Barenya Bikash and Syed Sazzad Ahmed European Journal of Advances in Engineering and Technology  NA NA
26 Survey on real time security mechanisms in network forensics Hazarika, Barenya Bikash, and Smriti Priya Medhi International Journal of Computer Applications  NA NA
27 Survey on Design and Analysis of Mobile IP Hazarika, Barenya Bikash, and Bobby Sharma International Journal of Computer Applications  NA NA

 

Conference Papers

  1. Hazarika, Barenya Bikash and Deepak Gupta. ”Entropy-based fuzzy kernel ridge regression classifier for class imbalance problems”.” In ICIMST, 2022. (Presented)
  2. Hazarika, Barenya Bikash, Deepak Gupta, and Umesh Gupta. ”Intuitionistic fuzzy kernel random vector functional link classifier.” In Fourth international conference on machine intelligence and signal processing, Springer, Singapore, 2022. INDEX: SCOPUS
  3. Hazarika, Barenya Bikash, Deepak Gupta, and Parashjyoti Borah. ”A twin kernel ridge regression classifier for binary classification.” In Third international conference on machine intelligence and signal processing, Springer, Singapore, 2021. INDEX: SCOPUS
  4. Hazarika, Barenya Bikash, Deepak Gupta, and Mohanadhas Berlin. ”A comparative analysis of artificial neural network and support vector regression for river suspended sediment load prediction.” In First international conference on sustainable technologies for computational intelligence, pp. 339-349. Springer, Singapore, 2020.INDEX: SCOPUS
  5. Hazarika, Barenya Bikash and Urjashee Shaw, ”Computational Intelligence in Intrusion Detection System: A survey paper” at Fourth International Conference on Computing for Sustainable Global Development, IEEE, INDIACom 2017. PID:2340, ; IEEE Conference ID: 40353
  6. Mothukuri, Naga Prasanna Hemanth Kumar, Ambati Rakesh, Pannem Yaswanth Babu, Uday Kiran, G. Bindu, and Barenya Bikash Hazarika. ”A Comprehensive Study of Different Security Features in eBanking.” In 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), pp. 1177-1181. IEEE, 2023.
  7. T. Devi Manjari, B. Goutham, T. Veerendra Kumar, Khoirom Mothilal Singh and Barenya Bikash Hazarika. “The Role of Image Encryption and Decryption in Secure Communication: A Survey”, International Conference on Advances in IoT, Security with AI (ICAISA-2023)
  8. B. Rekha Sri Durga, I. Akhil, A. Bhavya Sri, R. Latish, Sanasam Chanu Inungumbi and Barenya Bikash Hazarika. “Detection of COVID-19 using Medical Image Processing”, International Conference on Advances in IoT, Security with AI (ICAISA-2023)

Awards & Achievements

1. Faculty of the month November 2023

2. Best paper award at ICASDIGT-2024

3. Seed Money Grant 

4. Reviewer of a few esteemed journals such as Applied Soft Computing, Neural Networks, Computers and Electrical Engineering, Energy, Applied Artificial Intelligence, Knowledge and Information Systems, ISA Transactions and many more