
Dr. Himanish Shekhar Das
Assistant Professor
Ph.D. : National Institute of Technology SilcharResearch Interests:
Speech Processing (Language Identification); Medical Image Processing; Machine Learning; Deep Learning; Bioinformatics; Natural Language Processing; Disorder DiagnosisDate of Joining : Feb 1, 2020
Phone: +918638889747
Email: himanish.das@cottonuniversity.ac.in
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
Series: Public Health in the 21st Century
BISAC: MED078000
DOI: https://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.