Amit Kumar Roy

@gurucharanuniversity.ac.in

Teaching Assistant at Department of Computer Science
Gurucharan University, Silchar

Amit Kumar Roy


                        Download Compact PDF  
https://researchid.co/akr1992

EDUCATION

M.Sc. in Computer Science, Pursuing PhD

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence, Human-Computer Interaction, Computer Science Applications
7

Scopus Publications

12

Scholar Citations

2

Scholar h-index

Scopus Publications

  • Evaluating Machine Translation for Domain Specific Low-Resource Nepali-English Language Pairs: The Impact of Tokenization on Statistical and Neural Techniques
    A. Reddy Prasad, A. Rajesh
    Journal of Computer Science, 2026
    As a highly nuanced aspect of human communication, facial expression recognition presents a computationally complex problem, making it a prominent area of research in computer vision and affective computing. Problems like poor image quality, occlusions, inconsistent illumination, and head attitude changes are frequently observed in images taken from unstructured sources such as the internet that affect the accuracy of facial expression performance. With the aim of resolving these issues, an innovative occluded Facial Expression Recognition (FER) using an advanced deep learning model is proposed. For recognizing facial expressions, images are gathered in benchmark sources. The Viola-Jones (VJ) facial detector model is processed using the collected images. The detected face images from the VJ are given to the Regions of Interest (ROI) extraction process. The extracted ROI is passed to the Adaptive and Multiscale Vision Transformer-Convolutional Neural Network with Attention Mechanism (AMViTCNN-AM) for recognizing facial expressions. AMViTCNN-AM accurately identifies the expression in the face images even in the presence of occlusion. To get better performance in the FER process, the parameters in the network are optimized by the Fitness-based Cheetah Optimizer (F-CO). Experiments are carried out to prove the efficiency of the designed framework. The outcomes show that the implemented approach attained an accuracy value of 98.43%, which proves the potential of a developed deep learning model in the FER.
  • A Scalable Real-Time Stock Market Prediction Framework Using LSTM Network and XGBoost Model
    Amit Kumar Roy, Munsifa Firdaus Khan Barbhuyan, Satyabrata Nath
    Lecture Notes in Networks and Systems, 2026
  • A Performance Optimised Multi-Function Browser Extension for Enhanced Web Privacy and Secure Link Shortening
    Munsifa Firdaus Khan Barbhuyan, Satyabrata Nath, Shafiul Alom Ahmed, Amit Kumar Roy
    International Conference on Computing Intelligence and Application Ciacon 2025, 2025
    Online privacy is increasingly at risk due to the prevalence of intrusive ads and hidden trackers embedded in web services. While existing browser extensions aim to address these issues, most function in isolation, offering ad-blocking, tracker detection, or URL shortening separately, resulting in fragmented solutions that consume more memory and reduce efficiency. This paper presents SmartBlock, a unified browser extension that combines ad-blocking, tracker identification, and secure URL shortening into a single, lightweight tool. Built on Google Chrome’s Manifest V3 architecture, SmartBlock features an optimised shared codebase and a cohesive interface to reduce resource usage and enhance user privacy. It employs a hybrid filtering strategy using both static and dynamic rules to accurately detect ad domains and real-time tracking attempts with minimal performance overhead. SmartBlock also introduces a privacy-centric URL shortening method by leveraging in-browser SHA-256 hashing and local storage, ensuring links are generated and resolved entirely offline, with no data sent to external servers. Comprehensive evaluations, including benchmark tests and user feedback, demonstrate SmartBlock’s high accuracy, low false positives, and superior privacy performance compared to existing tools.
  • Machine Translation Systems for Official Languages of North-Eastern India: A Review
    Amit Kumar Roy, Bipul Syam Purkayastha
    Communications in Computer and Information Science, 2024
  • A Bidirectional Statistical Machine Translation System for Exploring the Performance of the Low Resource Language Pair English-Nepali
    Amit Kumar Roy, Bipul Syam Purkayastha, Saptarshi Paul
    2024 International Conference on Computational Intelligence for Green and Sustainable Technologies Iccigst 2024 Proceedings, 2024
    The advances in Neural Machine Translation (NMT) systems have cast a shadow over Machine Translation (MT), which was previously dominated by Rule-based Machine Translation (RBMT) and Statistical Machine Translation (SMT). While Neural Machine Translation works effectively for languages with abundant resources, Statistical Machine Translation remains favored for low-resource languages such as Nepali. Nepali itself possesses distinctive linguistic features, characteristics, and scripts. This paper introduces a bidirectional Statistical Machine Translation (SMT) system for the Nepali-English language pair, which is considered low-resource. The open-source toolkit MOSES and a parallel text corpus with approximately 17 K sentences are both used by the system. To evaluate the system’s effectiveness, automatic evaluation metrics such as BLEU, F-Score, and METEOR were used. The system recorded scores of 21.13,53.32, and 38.29 for translating text from English into Nepali and 22.26, 57.52, and 27.81 for translating text from Nepali into English. Additionally, a comparison between translation performance with that of Google Translate, a standard neural network translation service, is done. When translating from English to Nepali, the proposed system outperforms Google Translate in terms of automatic evaluation scores, accuracy and precision.
  • Parts of Speech Tagged Phrase-Based Statistical Machine Translation System for English → Mizo Language
    Chanambam Sveta Devi, Amit Kumar Roy, Bipul Syam Purkayastha
    SN Computer Science, 2023
  • Statistical and Syllabification Based Model for Nepali Machine Transliteration
    Amit Kumar Roy, Abhijit Paul, Bipul Syam Purkayastha
    Communications in Computer and Information Science, 2022

RECENT SCHOLAR PUBLICATIONS

  • Whispering in Sylheti Language
    S Das, AK Roy, BK Singh, BS Purkayastha
    International Journal of Information Science and Computing 12 (02), 189-201 , 2025
    2025
  • Computational Genomics for Disease Gene Discover y : A Summarized Review of Algorithms and Accelerators
    M Chakraborty, AK Roy
    International Journal of Information Science and Computing 12 (02), 227-243 , 2025
    2025
  • Evaluating Machine Translation for Domain Specific Low-Resource Nepali-English Language Pairs: The Impact of Tokenization on Statistical and Neural Techniques
    AK Roy, BS Purkayastha
    Journal of Computer Science 21 (12), 3041-3050 , 2025
    2025
  • Framework Using LSTM Network and XGBoost
    AK Roy, MFK Barbhuyan
    Data Science and Network Engineering: Proceedings of ICDSNE 2025, 79 , 2025
    2025
  • A Scalable Real-Time Stock Market Prediction Framework Using LSTM Network and XGBoost Model
    AK Roy, MFK Barbhuyan, S Nath
    International Conference on Data Science and Network Engineering, 79-90 , 2025
    2025
  • A Performance Optimised Multi-Function Browser Extension for Enhanced Web Privacy and Secure Link Shortening
    MFK Barbhuyan, S Nath, SA Ahmed, AK Roy
    2025 International Conference on Computing, Intelligence, and Application … , 2025
    2025
  • A Bidirectional Statistical Machine Translation System for Exploring the Performance of the Low Resource Language Pair English-Nepali
    AK Roy, BS Purkayastha, S Paul
    2024 International Conference on Computational Intelligence for Green and … , 2024
    2024
    Citations: 2
  • A Neural based Bidirectional MT System to Investigate the Performance of the Low Resource Language pair English-Nepali
    AK Roy, BS Purkayastha, CS Devi, S Paul
    Infocomp Journal Of Computer Science 23 (1) , 2024
    2024
  • Parts of speech tagged phrase-based statistical machine translation system for english→ mizo language
    CS Devi, AK Roy, BS Purkayastha
    SN Computer Science 4 (6), 841 , 2023
    2023
    Citations: 6
  • Machine Translation Systems for Official Languages of North-Eastern India: A Review
    AK Roy, BS Purkayastha
    International Conference on Computational Intelligence in Communications and … , 2023
    2023
    Citations: 1
  • Statistical and Syllabification Based Model for Nepali Machine Transliteration
    AK Roy, A Paul, BS Purkayastha
    International Conference on Computational Intelligence in Communications and … , 2022
    2022
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Parts of speech tagged phrase-based statistical machine translation system for english→ mizo language
    CS Devi, AK Roy, BS Purkayastha
    SN Computer Science 4 (6), 841 , 2023
    2023
    Citations: 6
  • Statistical and Syllabification Based Model for Nepali Machine Transliteration
    AK Roy, A Paul, BS Purkayastha
    International Conference on Computational Intelligence in Communications and … , 2022
    2022
    Citations: 3
  • A Bidirectional Statistical Machine Translation System for Exploring the Performance of the Low Resource Language Pair English-Nepali
    AK Roy, BS Purkayastha, S Paul
    2024 International Conference on Computational Intelligence for Green and … , 2024
    2024
    Citations: 2
  • Machine Translation Systems for Official Languages of North-Eastern India: A Review
    AK Roy, BS Purkayastha
    International Conference on Computational Intelligence in Communications and … , 2023
    2023
    Citations: 1
  • Whispering in Sylheti Language
    S Das, AK Roy, BK Singh, BS Purkayastha
    International Journal of Information Science and Computing 12 (02), 189-201 , 2025
    2025
  • Computational Genomics for Disease Gene Discover y : A Summarized Review of Algorithms and Accelerators
    M Chakraborty, AK Roy
    International Journal of Information Science and Computing 12 (02), 227-243 , 2025
    2025
  • Evaluating Machine Translation for Domain Specific Low-Resource Nepali-English Language Pairs: The Impact of Tokenization on Statistical and Neural Techniques
    AK Roy, BS Purkayastha
    Journal of Computer Science 21 (12), 3041-3050 , 2025
    2025
  • Framework Using LSTM Network and XGBoost
    AK Roy, MFK Barbhuyan
    Data Science and Network Engineering: Proceedings of ICDSNE 2025, 79 , 2025
    2025
  • A Scalable Real-Time Stock Market Prediction Framework Using LSTM Network and XGBoost Model
    AK Roy, MFK Barbhuyan, S Nath
    International Conference on Data Science and Network Engineering, 79-90 , 2025
    2025
  • A Performance Optimised Multi-Function Browser Extension for Enhanced Web Privacy and Secure Link Shortening
    MFK Barbhuyan, S Nath, SA Ahmed, AK Roy
    2025 International Conference on Computing, Intelligence, and Application … , 2025
    2025
  • A Neural based Bidirectional MT System to Investigate the Performance of the Low Resource Language pair English-Nepali
    AK Roy, BS Purkayastha, CS Devi, S Paul
    Infocomp Journal Of Computer Science 23 (1) , 2024
    2024