Dr. Himanish Shekhar Das

Dr. Himanish Shekhar Das

Assistant Professor

Ph.D. : National Institute of Technology Silchar

Research Interests:

Speech Processing (Language Identification); Medical Image Processing; Machine Learning; Deep Learning; Bioinformatics; Natural Language Processing; Disorder Diagnosis
Date of Joining : Feb 1, 2020

Phone: +918638889747
Email: himanish.das@cottonuniversity.ac.in

Vidwan Profile

About

Profiles : Google Scholar, ResearchGate, LinkedIn, ORCID


     National Institute of Technology Silchar (NITS), Silchar, Assam

     Doctor of Philosophy (PhD), Computer Science and Engineering (CSE)

     Specialization: Speech Processing (Language Identification) and Machine/Deep learning


     National Institute of Technology Durgapur (NITDGP), Durgapur, West Bengal

     Master of Technology (M.Tech), Computer Science and Engineering (CSE)

     Specialization: Wireless Sensor Networks


     National Institute of Technology Silchar (NITS), Silchar, Assam

     Bachelor of Technology (B.Tech), Computer Science and Engineering (CSE)

 

Teaching

  • Database Management System
  • Machine Learning
  • Operating System
  • Data Mining
  • Compiler Design
  • Formal Language and Automata Theory
  • Deep Learning 
  • Graph Theory and its applications
  • Theory of Computation

 

Experience

Career Profile/Services:

  • Assistant Professor, Cotton University, Guwahati (Feb 2020 - till date)
  • Assistant Professor, Jorhat Engineering College, Assam (Sept 2018 - Jan 2020)   
  • Assistant Professor, Birla Institute of Technology Mesra, Jharkhand (Jan 2018 - Aug 2018)
  • Teaching Assistant, National Institute of Technology Silchar, Assam (Aug 2015 - Dec 2017)

Administrative Experience:

  • Member, Internal Quality Assurance Cell (IQAC), Cotton University, Guwahati (July 2021 - December 2024)
  • Member, Board of Studies (BOS) of Physical, Chemical and Mathematical Sciences, Cotton University, Guwahati (June 2021 - June 2024)

Research Projects

 Serial 

No.

Name of

the Project 

 Name of 

the PI 

Name of 

the Co-PI 

Name of the

Funding Agency 

 Type

(Government/ 

Non-Government)

 Year 

 Funds

Sanctioned 

 (INR in Lakhs)

 Duration of 

the Project

3

Breast Cancer Detection from Mammographic Images using Deep Learning Architectures

Status: Completed

Dr. Akalpita Das

Dr. Himanish Shekhar Das;

Dr. Utpal Barman

Collaborative Research Scheme (CRS) of ASTU under TEQIP-III program of MHRD funded by World Bank Government 2019 3,00,000 2 Years
2

Time Series Analysis and Prediction of Air Pollution in Guwahati

Status: Completed

Dr. Th. Shanta Kumar Dr. Himanish Shekhar Das Collaborative Research Scheme (CRS) of ASTU under TEQIP-III program of MHRD funded by World Bank Government 2019 2,97,000 2 Years
1

Detection of Parkinson’s disease from hand-drawn images using Deep Learning Techniques

Status: Completed

Dr. Akalpita Das

 

Dr. Himanish Shekhar Das

 

Collaborative Research Scheme (CRS) of ASTU under TEQIP-III program of MHRD funded by World Bank Government 2019 3,00,000 2 Years

 

 

Research Projects

Sl. No Name of the Project Name of the Principal Investigator(PI) Name of the Co-PI Name of the Funding Agency Type (Government/Non-Government) Year Funds Sanctioned (INR in lakhs) Duration of the Project
1 Prediction and Grading of Invasive Ductal Carcinoma In Breast Cancer from H&E stained histopathological microscopic images
Status: Completed
Dr. Himanish Shekhar Das Dr. Kangkana Bora Cotton University under IHRP Scheme In House 2024 1 Lakh 1.5 Year

Research paper publications

2025

1. Sagarika Sengupta, Genevieve Chyrmang, Kangkana Bora, Himanish Shekhar Das, Aimin Li, Bernardo Lemos, Saurav Mallik, Assessment of different U-Net backbones in Segmenting Colorectal Adenocarcinoma from H&E Histopathology, Pathology- Research and Practice, Elsevier (SCIE, IF: 2.9), vol. 266, 155820, Online ISSN: 1618-0631; Print ISSN: 0344-0338, 2025 https://doi.org/10.1016/j.prp.2025.155820

2. Kasmika Borah, Himanish Shekhar Das, Ram Kaji Budhathoki, Khursheed Aurangzeb, Saurav Mallik, DOMSCNet: A Deep Learning Model for the Classification of Stomach Cancer using Multi-Layer Omics Data, Briefings in Bioinformatics, Oxford University Press (SCIE, IF: 9.5), vol. 26, 1-20, 2, Online ISSN 1477-4054, 2025 https://doi.org/10.1093/bib/bbaf115

3. Himanish Shekhar Das, Kasmika Borah, Kangkana Bora, Ensemble Learning Approach for Detecting Breast Invasive Ductal Carcinoma from Histopathological Images, Pathology- Research and Practice, Elsevier (SCIE, IF: 2.9), vol. 272, 156041, Online ISSN: 1618-0631; Print ISSN: 0344-0338, 2025 https://doi.org/10.1016/j.prp.2025.156041

2024

1. Kasmika Borah, Himanish Shekhar Das, Barun Barua, Somenath Chakraborty, Aimin Li, Saurav Mallik, Mohd Asif Shah, Unveiling Molecular Markers and Prediction of Stomach Cancer from Transcriptomic Profile: A Comprehensive Study of Feature Mining and Learning-based Algorithm, Preprint , 2024 https://doi.org/10.21203/rs.3.rs-4572725/v1

2. Kasmika Borah, Himanish Shekhar Das, Soumita Seth, Koushik Mallick, Zubair Rahaman, Saurav Mallik, A review on advancements in feature selection and feature extraction for high-dimensional NGS data analysis, Functional & Integrative Genomics, Springer Berlin Heidelberg (SCIE, IF: 3.9), vol. 24, 139, 5, 1438-7948, 2024 https://doi.org/10.1007/s10142-024-01415-x

2023

1. Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora, Zhongming Zhao, Breast Cancer Detection: Shallow Convolutional Neural Network against Deep Convolutional Neural Networks based approach, Frontiers in Genetics - Computational Genomics, Frontiers (SCIE, IF 4.772), vol. 13:1097207, 1-16, 1664-8021 (Online), 2023 https://doi.org/10.3389/fgene.2022.1097207

2022

1. Himanish Shekhar Das , Akalpita Das, Anupal Neog, Saurav Mallik, Kangkana Bora, Zhongming Zhao, Early Detection of Parkinson’s Disease Using Fusion of Discrete Wavelet Transformation and Histograms of Oriented Gradients, Mathematics, MDPI (SCIE, IF 2.592), vol. 10, 4218, 1-15, 2227-7390, 2022 https://doi.org/ 10.3390/math10224218

2. Kangkana Bora, Lipi B. Mahanta, Kasmika Borah, Genevieve Chyrmang, Barun Barua, Saurav Mallik, Himanish Shekhar Das, Zhongming Zhao, Machine Learning Based Approach for Automated Cervical Dysplasia Detection Using Multi-Resolution Transform Domain Features, Mathematics, MDPI (SCIE, IF 2.592), vol. 10, 4126, 1-11, 2227-7390, 2022 https:// doi.org/10.3390/math10214126

Research paper publications till 2021

[6] Himanish Shekhar Das, and Pinki Roy, “A CNN-BiLSTM based hybrid model for Indian Language Identification”, Applied Acoustics, 182, 108274, 2021. (Elsevier, SCIE, IF 3.614) https://doi.org/10.1016/j.apacoust.2021.108274

[5] Himanish Shekhar Das, and Pinki 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) https://doi.org/10.1007/s13369-020-04430-9

[4] Himanish Shekhar Das, and Pinki 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) https://doi.org/10.1007/s10772-018-09582-6

[3] Himanish Shekhar Das, and Akalpita 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) https://doi.org/10.21817/ijest/2018/v10i2S/181002S013

[2] Himanish Shekhar Das, and Sanghita 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) https://doi.org/10.3233/JHS-170553

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

Conference Proceedings

2025

1. Kasmika Borah, Himadri Shekhar Das, Himanish Shekhar Das, Hybrid Deep Recurrent Neural Networks for Accurate Wind Speed Prediction, 4th IEEE International Conference on Range Technology (ICORT 2025), ITR Chandipur, Baleswar, Odisha, 06-08 March, 2025

2. Tijeli Debbarma, Abhijit Sinha, Sagarika Sengupta, Jay Krishna Das, and Himanish Shekhar Das, Sentiment Analysis in Kokborok: Building Resources and Models for a Low-Resource Language, 3rd International Conference on Data Science and Network Engineering (ICDSNE 2025) organized by the Department of Computer Science and Engineering, National Institute of Technology Agartala, India, during 25-26 July 2025., 2025

3. Kasmika Borah, Himanish Shekhar Das, In-silico Interaction Study of FDA-approved and Natural Compound Drugs to Targets of Stomach Cancer, 6th International Conference on Frontiers in Computing and Systems (COMSYS 2025), Organized By Warsaw University of Technology, Poland & COMSYS Educational Trust, Kolkata, India, 2025

2024

1. Kasmika Borah, Himanish Das, Subhangi Paul, Ananya Nath and Sagarika Sengupta, Evaluating Imputation Techniques for scRNA-Seq Data in Stomach Cancer Analysis, 6th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND 2024), National Institute of Technology Goa, 20-21 December, 2024

Conference Proceedings till 2021

[2] Himadri Shekhar Das, Himanish Shekhar Das, and Sukanta Bhattacharjee, "Forecasting Upper Air Wind Speed Using a Hybrid SVR LSTM Model", in proceedings of 2nd IEEE International Conference on Range Technology (IEEE ICORT 2021), 5-6 August 2021, ITR DRDO, Chandipur, Orissa. http://doi.org/10.1109/ICORT52730.2021.9581478

[1] Himanish Shekhar Das, and Akalpita Das, “Modified Mean Neighbor Clustering Algorithm with Minimization of Orphan Nodes”, in proceedings of National Conference on Advances in Science, Engineering and Technology (ASET), 10-11 November 2017, GIMT Tezpur. 

 

Book publication relating subject/research concerned

     Title: Landscape of Pattern Learning Applied to Public Health and Social Sciences

     ISBN: 979-8-89530-266-8

     Publication Date: December 23, 2024

     SeriesPublic Health in the 21st Century
     BISAC: MED078000
     DOIhttps://doi.org/10.52305/CYZR4453

 

Chapters/Articles publications in Books (Research Oriented)

[11] Akalpita Das, Himanish Shekhar Das, and Himadri Shekhar Das, "Auswirkungen des Cuckoo-Suche-Algorithmus auf die Sprachverarbeitung", In: Dey N. (eds) Anwendungen des Cuckoo-Suchalgorithmus und seiner Varianten, pp. 215-238, 2024, https://doi.org/10.1007/978-981-99-7493-1_9 (Springer Vieweg, Singapore, Scopus).

[10] Himanish Shekhar Das, and Pinki Roy, “Impact of visual representation of audio signals for Indian language identification”,  in proceedings of  25th International Symposium on Frontiers of Research in Speech and Music (FRSM), 8-9 October 2020, NIT Silchar, Assam. In: Biswas A., Wennekes E., Hong TP., Wieczorkowska A. (eds) Advances in Speech and Music Technology, Advances in Intelligent Systems and Computing, vol 1320, pp. 395-407, 2021. Publisher: Springer, Singapore. (Springer, Scopus) https://doi.org/10.1007/978-981-33-6881-1_32

[9] Akalpita Das, Himanish Shekhar Das, Utpal Barman, Arijeet Choudhury, Sourav Mazumdar and Anupal 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. Communications in Computer and Information Science, vol 1365, pp. 18-27, 2021. Springer, Singapore. (Springer, Scopus) https://doi.org/10.1007/978-981-16-0425-6_2

[8] Akalpita Das, Himanish Shekhar Das, Anupal Neog, B. Bharat Reddy and Mrinoy 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, 2021. Springer, Singapore. (Springer, Scopus) https://doi.org/10.1007/978-981-33-4604-8_16

[7] Akalpita Das, Himanish Shekhar Das, Arijeet Choudhury, Anupal Neog and Sourav 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. Lecture Notes on Data Engineering and Communications Technologies, vol 61, pp. 67-84, 2021. Springer, Singapore. (Spinger, Scopus) https://doi.org/10.1007/978-981-33-4582-9_6

[6] Akalpita Das, Himanish Shekhar Das, Anupal Neog, B. Bharat Reddy, Arijeet Choudhury, and Mrinoy 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, 2021. Springer, Singapore. (Springer, Scopus) https://doi.org/10.1007/978-981-33-6912-2_22

[5] Th. Shanta Kumar, Himanish Shekhar Das, Upasana Choudhary, Prayakhi E. Dutta, Debarati Guha, and Yeasmin 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, 2021. Springer, Singapore. (Springer, Scopus) https://doi.org/10.1007/978-981-16-1119-3_28

[4] Akalpita 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). https://doi.org/10.1007/978-981-33-6104-1_9

[3] Akalpita 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). https://doi.org/10.1007/978-981-15-5163-5_9

[2] Himanish Shekhar Das, and Pinki Roy, “A Deep Dive Into Deep Learning Techniques for Solving Spoken Language Identification Problems”, In: Dey N. (eds) Intelligent Speech Signal Processing, pp. 81-100, 2019, Academic Press. (Elsevier, Scopus). https://doi.org/10.1016/B978-0-12-818130-0.00005-2

[1] Priyanka Pukhrambam, Sanghita 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, 2016. Springer, New Delhi. (Springer, Scopus) https://doi.org/10.1007/978-81-322-3592-7_19

 

Research Scholars

Sl. No Name Research Topic Roll No
1 Kasmika Borah Bioinformatics CSC2191002
2 Jay Krishna Das Disorder Diagnosis CSC2391002
3 Sagarika Sengupta Natural Language Processing CSC2491002

Awards

[2] "Best Paper Award" for the paper entitled "Forecasting Upper Air Wind Speed Using a Hybrid SVR LSTM Model", in proceedings of 2nd IEEE International Conference on Range Technology (IEEE ICORT 2021), ITR DRDO, Chandipur, Orissa; Co-author with Mr. Himadri Shekhar Das and Dr. Sukanta Bhattacharjee.

[1] "Research Excellence Award 2020" by Institute of Scholars (InSc) for the research paper entitled as "Optimal prosodic feature extraction and classification in parametric excitation source information for Indian language dentification using neural network based Q-learning algorithm".

Other Information

FDP/Workshop/STTP Attended

 Serial No.

        Type           

         Name of the FDP/Workshop/STTP         

       Organizing      

    Institution    

      Duration and Date    

Year
27 Workshop Hands-On Training on Scientific Document Writing Using Latex Scholarsight (15 days), 3rd June - 19th June 2024
26 STTP "One Week Online Short Term Course on Machine Learning and its Applications in IoT, Computer Vision and Cloud Computing" NIT Jamshedpur

(1 week), 10th - 14th July

2023
25 FDP "Moodle" GIMT, Guwahati (1 week), 20th - 24th June  2022
24 Orientation Programme "Faculty Induction Programme" Tezpur University (30 days), 3rd Aug - 2nd Sept  2021
23 Refresher Course “Interdisciplinary Refresher Course on Curriculum and Pedagogy” Tezpur University (14 days), 7th-21st June  2021
22 Workshop “Transformation through NAAC Accreditation Process, A National Level Workshop for Higher Educational Institutions” Institute for Academic Excellence, Hyderabad (2 days), 21st & 22nd  June 2021
21 AICTE Sponsored ATAL FDP “Recent Advances in NLP using Deep Learning” NIT Silchar (5 days), 8th - 12th March 2021
20 FDP “Applied Machine Learning and Deep Learning” GIMT Guwahati (5 days), 24th-27th February & 1st March 2021
19 AICTE Sponsored (ATAL) FDP “Speech Processing using Deep Learning” IIT Dharwad (5 days), 28th Dec 2020-1st January 2021 2020-21
18 Workshop “AI & ML in Speech and Audio Processing” St. Martin’s Engineering College, Secunderabad (3 days), 10th - 12th December 2020
17 Workshop “Technical Writing: Tips, Tricks and Tools” JIS University In Association with Institution's Innovation Council (1 day), 10th October 2020
16 FDP “Introduction to Machine Learning using Python” Soft Computing Research Society, New Delhi (5 days), 11th-12th July & 18th- 20th July 2020
15 FDP “Artificial Intelligence & Machine Learning Using Python” Finland Labs In Association with National Social Summit, IIT Roorkee (12 days), 13/07/2020 –24/07/2020 2020
14 FDP “Faculty Development Programme” IIT Madras (5 days), 24/06/2019 –28/06/2019 2019
13 Summer School “Automatic Speech Recognition” IIT Guwahati (6 days), 02/06/2019 –07/06/2019 2019
12 AICTE Sponsored Workshop (ATAL) “Artificial Intelligence, Robotics, andMachine Learning” IIT Guwahati (5 days), 22/02/2019 –26/02/2019 2019
11 STTP “Introduction to OBE” Jorhat Engineering College (3 days), 26/11/2018–28/11/2018 2018
10 Workshop “Outcome Based Accreditation” BIT Mesra (2 days), 18/03/2018 –19/03/2018 2018
9 FDP “Machine Intelligence and Internet of Things” Tezpur University (5 days), 19/02/2018 –23/02/2018  2018
8 FDP “Faculty Development Programme” IIT Madras (5 days), 31/01/2018 –04/02/2018 2018
7 Summer School “Automatic Speech Recognition”  IIT Guwahati (13 days), 16/05/2017 –28/05/2017 2017
6 Workshop “Cloud Computing Network” NIT Silchar (7 days), 11/03/2017 –17/03/2017 2017
5 Workshop “Speech Technology Solutions” NIT Silchar (2 days), 24/02/2017 –25/02/2017 2017
4 Workshop “Computing: Theory and Applications” ISI Tezpur (5 days), 20/02/2017 –24/02/2017 2017
3 Workshop “Matlab for all” Gauhati University (6 days), 01/07/2016 –06/07/2016 2016
2 Workshop “Advanced Fuzzy Logic” NIT Silchar (8 days), 01/02/2016 –08/02/2016 2016
1 Workshop “Internet of Things” NIT Silchar (2 days), 12/10/2015 – 13/10/2015 2015

 

Professional Experience

[10] Peer Reviewer in the 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC 2025) held during February 27-28, 2025.

[9] Technical Program Committee Member and Reviewer in the Congress on Smart Computing Technologies (CSCT 2023) held during December 02-03, 2023.

[8] Program Committee Member and Reviewer in the 3 rd International Conference on Intelligent Vision and Computing (ICIVC 2023) held during November 25-26, 2023.

[7] Peer Reviewer in the International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC 2023) held during February 03-04, 2023

[6] Program Committee Member and Reviewer in the International Conference on Communication and Intelligent Systems (ICCIS 2022) held during December 19-20, 2022

[5] Primary Evalutor in "Toycathon, 2021"

[4] 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

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

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

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

 

Achievements/Association with Professional Bodies

[4] NPTEL Online Certification for successfully completing the course "DEEP LEARNING" during January - April 2021 (12 week  course)

[3] Qualified in GATE (2012, 2013, 2014, 2020), UGC-NET (July, 2018)

[2] Member, Institute of Scholars (InSc)

[1] Member, International Society for Research & Development (ISRD)

 

Paper Presentation (Conference/Seminar/Workshop):

[3] Himanish Shekhar Das, and Pinki Roy, “Impact of visual representation of audio signals for Indian language identification”,  in proceedings of  25th International Symposium on Frontiers of Research in Speech and Music (FRSM), 8-9 October 2020, NIT Silchar, Assam.

[2] Akalpita Das, Himanish Shekhar Das, Anupal Neog, B. Bharat Reddy, Arijeet Choudhury, and Mrinoy 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.

[1] Himanish Shekhar Das, and Akalpita Das, “Modified Mean Neighbor Clustering Algorithm with Minimization of Orphan Nodes”, in proceedings of National Conference on Advances in Science, Engineering and Technology (ASET), 10-11 November 2017, GIMT Tezpur.