Himanish Shekhar Das, and P. Roy, “A CNN-BiLSTM based hybrid model for Indian Language Identification”, Applied Acoustics, 182, 108274. (Elsevier, SCIE, IF 3.614)

Himanish Shekhar Das, and P. Roy, “Bottleneck Feature-Based Hybrid Deep Autoencoder Approach for Indian Language Identification”, Arabian Journal for Science and Engineering, 45(4), 3425-3436, 2020. (Springer, SCIE, IF 2.807)

Himanish Shekhar Das, and P. Roy, “Optimal prosodic feature extraction and classification in parametric excitation source information for Indian language identification using neural network based Q-learning algorithm”, International Journal of Speech Technology, 22(1), 67-77, 2019. (Springer, ESCI, Scopus)

Himanish Shekhar Das, and A. Das, “Modified Mean Neighbor Clustering Algorithm with Minimization of Orphan Nodes”, International Journal of Engineering Science and Technology (IJEST), vol. 10, no. 02S, pp. 87-91, Feb 2018. (UGC-Listed)

Himanish Shekhar Das, and S. Bhattacharjee, “A Congestion Aware Routing for Lifetime Improving in Grid Based Sensor Networks”, Journal of High Speed Networks (IOS Press), vol. 23, no. 1, pp. 1-14, 2017. DOI: 10.3233/JHS-170553. (IOS Press, ESCI, Scopus)

U. Sinha, Himanish Shekhar Das, and M. Shekhar, “Survey on human activity recognition techniques for video surveillance”, International Journal of Computer Science and Telecommunications (IJCST), vol. 6, no. 3, 2015.

A. Das, Himanish Shekhar Das, U. Barman, A. Choudhury, S. Mazumdar and A. Neog, “Detection of Breast Cancer from Mammogram images using Deep Transfer Learning”, in proceedings of 6th International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS), 14-17 October 2020, VIT, Chennai. In: Thampi S.M., Krishnan S., Hegde R.M., Ciuonzo D., Hanne T., Kannan R. J. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2020. Communications in Computer and Information Science, vol 1365, pp. 18-27. Springer, Singapore. (Springer, Scopus)

A. Das, Himanish Shekhar Das, A. Neog, B. B. Reddy and M. Swargiary, “Performance analysis of different machine learning classifiers in detection of Parkinson’s disease from hand-drawn images using Histogram of Oriented Gradients”, in proceedings of 1st Global Conference on Artificial Intelligence and Applications (GCAIA), 8-10 September 2020, UEM, Jaipur. In: Gao XZ., Kumar R., Srivastava S., Soni B.P. (eds) Applications of Artificial Intelligence in Engineering. Algorithms for Intelligent Systems, pp. 205-2015, Springer, Singapore. (Springer, Scopus)

A. Das, Himanish Shekhar Das, A. Choudhury, A. Neog and S. Mazumdar, “Detection of Parkinson’s disease from hand-drawn images using Deep Transfer Learning”, in proceedings of Congress on Intelligent Systems (CIS), 05-06 September 2020, Soft Computing Research Society (SCRS). In: Sharma H., Saraswat M., Kumar S., Bansal J.C. (eds) Intelligent Learning for Computer Vision. CIS 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 61, pp. 67-84. Springer, Singapore. (Spinger, Scopus)

A. Das, Himanish Shekhar Das, A. Neog, B. B. Reddy, A. Choudhury, and M. Swargiary, “Detection of Parkinson’s disease from hand-drawn images using Machine Learning algorithms”, in proceedings of 3rd International Conference on Soft Computing and Signal Processing (ICSCSP), 21-22 August 2020, MRCET, Hyderabad. In: Reddy V.S., Prasad V.K., Wang J., Reddy K.T.V. (eds) Soft Computing and Signal Processing, Advances in Intelligent Systems and Computing, vol 1325, pp. 241-252. Springer, Singapore. (Springer, Scopus)

Th. S. Kumar, Himanish Shekhar Das, U. Choudhary, P. E. Dutta, D. Guha, and Y. Laskar, “Analysis and Prediction of Air Pollution in Assam using  ARIMA/SARIMA and Machine Learning”, in proceedings of National Conference on Innovations in Sustainable Energy and Technology (ISET), 3-4 December 2020, Energy Institute, Bengaluru. In: Muthukumar P., Sarkar D.K., De D., De C.K. (eds) Innovations in Sustainable Energy and Technology. Advances in Sustainability Science and Technology, pp. 317-330. Springer, Singapore. (Springer, Scopus)

P. Pukhrambam, S. Bhattacharjee, and Himanish Shekhar Das, “A Multi¬level Weight Based Routing Algorithm for Prolonging Network Lifetime in Cluster Based Networks,” in proc. of International Conference on Signal, Networks, Computing, and Systems (ICSNCS), vol. 1, pp. 193-203, 2016. In: Lobiyal D., Mohapatra D., Nagar A., Sahoo M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 395. Springer, New Delhi. (Springer, Scopus)

A. Das, and Himanish Shekhar Das, “Applications of Flower Pollination algorithm in Wireless Sensor Networking and Image processing: A detailed study”, In: Dey N. (eds) Applications of Flower Pollination Algorithm and its Variants, pp. 197-220, 2021, Springer Tracts in Nature-Inspired Computing (STNIC) (Springer, Scopus). 

A. Das, Himanish Shekhar Das, and H. S. Das, “Impact of Cuckoo algorithm in Speech Processing”, In: Dey N. (eds) Applications of Cuckoo Search Algorithm and its Variants, pp. 207-228, 2020, Springer Tracts in Nature-Inspired Computing (STNIC) (Springer, Scopus). 

Himanish Shekhar Das, and P. Roy, “A Deep Dive Into Deep Learning Techniques forSolving Spoken Language Identification Problems”, In: Dey N. (eds) Intelligent Speech Signal Processing, pp. 81-100, 2019, Academic Press. (Elsevier, Scopus). 

 Serial No.

Organizing Institution 

 Duration and Date 

Program Committee Member and Reviewer in the International Conference on Communication and  Intelligent Systems (ICCIS 2020), organized by GIT Jaipur, December 26-27, 2020 

Program Committee Member and Reviewer in the International Conference on Communication and Computational Technologies (ICCCT 2021), held during February 27-28, 2021

Program Committee Member and Reviewer in the International Conference on Data Science and Applications (ICDSA 2021), held during April 10-11, 2021

Program Committee Member and Reviewer in the International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS  2021) held during May 7-9, 2021