Udhayakumar

@veltech.edu.in

Professor & English
Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology

Udhayakumar


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https://researchid.co/udhayalinguistics

EDUCATION

M.A.(English), M.A.(Computational Linguistics), M.B.A.(HRM), P.G.D.C.S.,

RESEARCH, TEACHING, or OTHER INTERESTS

Language and Linguistics, Literature and Literary Theory, Artificial Intelligence, Multidisciplinary
16

Scopus Publications

78

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • AI-Based Pedagogical Framework for Improving Engagement of EFL Learners in Higher Education
    Aparna Gullapelly, Abdyrakman Eshiev, Dina Antar, Udhayakumar, R. Naganathan, Ratan Sarkar
    International Conference on Intelligent Communication Networks and Computational Techniques Icicnct 2025, 2025
    Blended instruction, which combines online and in-person learning, has become increasingly popular due to developments in educational technology and the effects of COVID-19. Engaging EFL learners is critical for academic achievement because, despite the model's versatility, it poses problems for students, especially when it comes to adapting to dual learning modalities. The study overcame these obstacles by extracting features using Independent Component Analysis (ICA) and using stringent data pretreatment procedures including encoding, normalisation, missing value removal, and outlier detection. These procedures helped uncover critical aspects impacting learning outcomes. Based on this, a hybrid predictive model was created by merging LSTM and GRU layers to improve the accuracy of learner engagement forecasts. We used accuracy, F1-score, and AUC, among other performance metrics, to compare the suggested model against a standalone LSTM-GRU architecture. Outperforming more traditional methods, the hybrid LSTM-GRU model had a remarkable accuracy of 96.24 %. Educators now have a trustworthy tool to increase student engagement, which leads to better instructional tactics, and these results show that advanced forecasting models are beneficial in making EFL learners more engaged in blended contexts.
  • Cognitive Narratives: Explainable AI for Mapping Character Psychology in English Novels
    K Saravanan, R. Udhayakumar, S Hema Malini, Paul Thomas Raj V, Janani K, R. Kanagaselvam
    Proceedings of 2025 10th International Conference on Science Technology Engineering and Mathematics Iconstem 2025, 2025
    Understanding character psychology in literary narratives requires nuanced interpretation, which traditionally relies on human expertise in literary analysis. This study introduces a new explainable AI model that mathematically models psychological conditions of fictional characters of English novels, classic and modern fiction. The approach commences with curation of representative corpus of novels of emotive and cognitively rich novels of writers like Austen, Dickens, Woolf and Bront. Through Named Entity Recognition and coreference resolution, passages of the narrative characterized by the character are identified and annotated with sentiment and emotion, as well as cognitive traits. These characteristics are implemented into a hybrid transformer architecture (RoBERTa), which is enhanced by explainability components, including SHAP and attention-based visualizations to assign psychological meanings to particular tokens and expressions. The system uses multi-label classification to record overlapping states, e.g. guilt, pride, fear, and incorporates a temporal modeling element to follow emotional and cognitive development throughout narrative development. Empirical findings show that there is 94.3% and F1-score of 92.5% in terms of classification accuracy and F1-score, respectively, in detecting character psychological states in the different literary styles. The attention weights and SHAP values have the interpretative transparency, which allows the scholars to analyze the attributes of the attribution of certain mental states. It is a method, as well as consistent with literary psychology, that offers reproducible and scalable information on character development. This publication implies widely in digital humanities, pedagogy, and automated literary criticism. Future developments will incorporate symbolic reasoning and multimodal interpretations to make a deeper and more general catalogue of cognitively literary analysis.
  • Hybrid Random Forest and Logistic Regression Model for Predicting Student Academic Performance in Higher Education
    Jamuna Rani K, Sohong Dhar, T. Indhumathi, Rohit Kumar, Udhayakumar Rajappan, Deepika G. Sarode
    2025 5th Asian Conference on Innovation in Technology Asiancon 2025, 2025
    The precise forecasting of student academic performance presents a significant challenge in higher education, directly influencing curriculum development and initiatives for student achievement. Current models frequently fail to accurately represent complex patterns within educational datasets. This proposed study handles the problem by presenting a hybrid model that integrates Random Forest and Logistic Regression methods to improve prediction accuracy. Random Forest effectively captures non-linear interactions and reduces variance through ensemble learning, while Logistic Regression enhances it by providing probabilistic interpretability. Two publicly accessible datasets from the Kaggle platform were utilised for examination, involving feature engineering, data preparation, and a hybrid integration approach. The model underwent extensive training and validation utilising cross-validation and hold-out methods. The suggested hybrid model demonstrated a classification accuracy of 94.2%, precision of 93.5%, recall of 94.7%, F1-score of 94.1%, and an AUC-ROC of 0.972, outperforming baseline models such as Decision Trees, SVM, and KNN. This study presents a viable and comprehensible approach for educational institutions seeking to identify at-risk children immediately and provide timely assistance. This work advances the field of educational data mining by introducing a dependable, scalable, and high-performing prediction framework that can be customised to various academic contexts.
  • A Survey on Adversarial Text Attacks on Deep Learning Models in Natural Language Processing
    S. Deepan, Fred Torres-Cruz, Ruben L. Plácido-Lerma, R. Udhayakumar, S. Anuradha, Dhiraj Kapila
    Lecture Notes in Electrical Engineering, 2025
  • Analysis of Factors Affecting Students’ Business Writing Skills
    R. Shruthi, R.Udhaya Kumar, K. Abinaya, A. Rajeswari, K. Savitha
    World Journal of English Language, 2024
    Writing skill is one of the four cornerstone skills in the process of learning and using English. The purpose of the study was to investigate the major cause of students’ business writing difficulties and to find out best solution to enhance their business writing skills. This research has utilized both qualitative and quantitative methods to investigate the challenges that undergraduate students at Nazareth Art and Science College. Two hundred Nazareth Art and Science College students participated in this survey. Primary data was gathered by survey questionnaires administered to a random sample of 200 students and classroom observation. Descriptive statistics were used to analyze the survey data. The findings of this study reveal that various hurdles were encountered by the students in their business writing. Challenges such as limited vocabulary, lack of grammar knowledge, lack of practice and traditional teaching method all contribute to the difficulties of students’ business writing. Classroom observation data also reveals that students have trouble with vocabulary, grammar, and practice and teaching method. It is suggested that the current study's scope be broadened to include students from a variety of universities in order to get to the heart of the difficulties associated with business writing. It is anticipated that the current research would persuade university professors to give business writing the same level of consideration as other pedagogical focuses.
  • Alienation as Forced Identity: A Study of Jhumpa Lahiri‟s „The Namesake and Unaccustomed Earth‟
    B. Lavanya, Udhaya Kumar R, M. Vinoth Kumar, M. Ponmuthuramalingam, Uthra. R
    World Journal of English Language, 2024
    Diaspora is the fusion of several cultures. The widely dispersed populace feels a sense of cultural identity. People have relocated from the beginning of time in quest of better possibilities. They integrate outside of their home and absorb values from their country. Their minds split into two halves, which they must reunite. Many obstacles stand in their way, but they eventually affect the surroundings. When moving from one area to another, not only do eating habits, wardrobes, lifestyles, and languages change, but a person’s whole behavioral pattern also transforms. Multiculturalism and hybridity provide a fresh avenue for transformation. Conversely, it causes isolation, a lack of roots, and homesickness. There is always a longing about “Where do they belong?” They feel distant despite the mixing of two cultures. Their hybridity becomes an integral part of who they are. The result is linguistic, social, psychological, and historical progress as they combine the finest elements of both cultures. They are bound to earthly reality by their affinity. While this transfusion happens, the following generation adds fresh perspectives and broadens its reach. The battle between anxiousness and a lack of roots never ends. With time, individuals tend to cultivate a more nuanced perspective on life, recognizing the value of striking a harmonious balance between tradition and modernity as the most optimal approach for the collective.
  • Navigating Cross-Lingual Natural Language Processing: Challenges, Strategies, and Applications
    T Raghu, M. Ravichand, Nirupama Kocherlakota, T. S. Rajeswari, Abhishek Saxena, R. Udhayakumar
    Smart Innovation Systems and Technologies, 2024
  • Exploring the Role of Natural Language Processing in Educational Chatbots: A Machine Learning Approach
    G Swamy Reddy, Haider Ali Rizvi, Harmeet Kaur Kochhar, Ajim Shaikh, R. Udhayakumar, Joshuva Arockia Dhanraj
    Proceedings of International Conference on Contemporary Computing and Informatics Ic3i 2024, 2024
    AI in the classroom instruction of languages an exciting potential effect that is altering teaching strategies and student involvement. Everything is simply achievable, including chatbots and natural-language processing (NLP) technology. Therefore, in order to verify the influence of AI on language acquisition, this study will evaluate the research, concentrating on programs like ChatGPT that provide individualized and engaged educational opportunities. Inversely, AI-driven chatbots that imitate real-world interactions, such as ChatGPT, supply very adaptable and accessible language training tools. Yet, forthcoming problems with correctness, societal prejudices, and the most suitable usage of AI stress their early promise. These demand that teachers and students improve their digital skills in order to use AI technology in a responsible and effective way. With a focus on present developments and potential futures, it highlights the crucial role artificial intelligence (AI) is playing in revolutionizing language teaching.
  • Exploring Recent Advances and Applications Across Sectors: A Natural Language Processing Perspective
    K. Rajchandar, A. Praveena, Shripada Patil, Gururaj Dangare, R. Udhayakumar, Gulnaz Fatma
    Smart Innovation Systems and Technologies, 2024
  • Experimental Studies on Flexural Behavior of Concrete Beams Using Non-Conventional Aggregates to Produce Sustainable Concrete Products
    M. Jayadurgalakshmi, T. Udhaya Kumar, R. Udhaya Kumar
    Aip Conference Proceedings, 2023
  • Natural Language Processing in Electronic Health Record Mining for Clinical Decision Support
    Pulluri Sreenivasgoud, M. K. Sharma, B Santhosh Kumar, Ginni Nijhawan, Hassan M. Al-Jawahry, R. Udhayakumar
    International Conference on Artificial Intelligence for Innovations in Healthcare Industries Icaiihi 2023, 2023
  • Utilizing Social Media Platforms for Artificial Intelligence-Based Detection and Developing Effective Communications in Disaster-Affected Areas
    Ganesh Waghmare, Saurabh Kumar, R. Udhayakumar, B. Raja Mannar, Rajesh Singh, Navneet Rawat
    2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2023, 2023
  • Enhancing Brain Tumor Detection Classification by Computational Intelligence
    Dr. Shaziya Islam, R. Udhayakumar, Saikat Kar, Pavitha N, Upendra Singh Aswal, Dilip Kumar Jang Bahadur Saini
    Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems Icears 2023, 2023
  • An Empirical Investigation of the Use of ML and Neural Networks in English Learning
    Raghu T, S. Vijaya Kumar, R. Udhayakumar, Navdeep Singh, M Hari Krishna, Dhiraj Kapila
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical Electronics and Computer Engineering Upcon 2023, 2023
  • Application of Natural Language Processing (NLP) in Machine Learning
    Pallavi Shetty, R. Udhayakumar, Akanksha Patil, Manika Manwal, Parashuram Shankar Vadar, Pavitha N
    2023 3rd International Conference on Advancement in Electronics and Communication Engineering Aece 2023, 2023
  • A Comprehensive Analysis of Smart Home Applying Natural Language Processing Using Internet of Technologies
    Shahanawaj Ahamad, Deepalkumar Shah, R. Udhayakumar, T.S. Rajeswari, Pankaj Khatiwada, Joel Alanya-Beltran
    2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering Icacite 2022, 2022

RECENT SCHOLAR PUBLICATIONS

  • Cognitive Narratives: Explainable AI for Mapping Character Psychology in English Novels
    K Saravanan, R Udhayakumar, SH Malini, PT Raj V, J K, ...
    IEEE Xplore , 2026
    2026
  • Hybrid Random Forest and Logistic Regression Model for Predicting Student Academic Performance in Higher Education
    J Rani K, S Dhar, T Indhumathi, R Kumar, U Rajappan, DG Sarode
    5th Asian Conference on Innovation in Technology (ASIANCON) 2025 (10.1109 … , 2025
    2025
  • AI-Based Pedagogical Framework for Improving Engagement of EFL Learners in Higher Education
    A Gullapelly, A Eshiev, D Antar, Udhayakumar, R Naganathan, R Sarkar
    2025 International Conference on Intelligent Communication Networks and … , 2025
    2025
  • Available online at www. jilile. in ISSN: 3048-4952 JOURNAL OF INDIAN LANGUAGES AND INDIAN LITERATURE IN ENGLISH
    R Udhayakumar
    Journal of Indian languages and Indian literature in English 3 (02), 284-289 , 2025
    2025
  • Enhancing English Speaking Skills: Overcoming Challenges and Implementing Effective Strategies
    DR Udhayakumar
    Journal of Indian Languages and Indian Literature in English 3 (1), 284-289 , 2025
    2025
  • EVALUATING THE INTERSECTION OF TRAUMA AND LIBERATION THROUGH A PSYCHOLOGICAL AND FEMINIST PERSPECTIVE IN TONI MORRISON'S NOVELS
    KS Lakshmi, R Udhayakumar, NS Hameed
    Vegueta. Anuario de la Facultad de Geografía e Historia 25, 1 , 2025
    2025
  • Exploring the Role of Natural Language Processing in Educational Chatbots: A Machine Learning Approach
    GS Reddy, HA Rizvi, HK Kochhar, A Shaikh, R Udhayakumar, JA Dhanraj
    2024 7th International Conference on Contemporary Computing and Informatics … , 2024
    2024
    Citations: 2
  • A Study of Representation and Portrayal of Motherhood in Toni Morrison’s Beloved
    DRUKS Lakshmi
    INTERNATIONAL RESEARCH JOURNAL OF COMMERCE, ARTS AND SCIENCE 15 (7), 397-404 , 2024
    2024
    Citations: 4
  • THE ART OF TEACHING ENGLISH: EXPLORINGCREATIVITY AND INNOVATION IN EDUCATION
    KSLDR Udhayakumar
    Bodhi International Journal of Research in Humanities 8 (1), 37 - 40 , 2024
    2024
  • Studies on effect of pruning and nutrition on yield and quality of fig (Ficus carica L.)
    PB Shelke, GM Waghmare, SD Temak, SP Mahalle, NA Khairkar
    Madras Agricultural Journal 111 (1) , 2024
    2024
    Citations: 2
  • Exploring Self-Expression and Identity Formation: The Role of Voice in Toni Morrison’s Sula
    KSLDR Udhayakumar
    RECENT TRENDS IN ARTS SCIENCE AND HUMANITIES - 2024 (RTASH-2024) 1 … , 2024
    2024
  • SIGNIFICANCE OF COMMUNICATIVE ENGLISH
    KSLDR Udhayakumar
    RECENT TRENDS IN ARTS SCIENCE AND HUMANITIES, Chapter - 8 , 2024
    2024
  • Analysis of Factors Affecting Students’ Business Writing Skills
    R Shruthi, RU Kumar, K Abinaya, A Rajeswari, K Savitha
    World Journal of English Language 14 (3) , 2024
    2024
    Citations: 3
  • Natural Language Processing in Electronic Health Record Mining for Clinical Decision Support
    P Sreenivasgoud, MK Sharma, BS Kumar, G Nijhawan, HM Al-Jawahry, ...
    2023 International Conference on Artificial Intelligence for Innovations in … , 2023
    2023
    Citations: 3
  • A Survey on Adversarial Text Attacks on Deep Learning Models in Natural Language Processing
    S Deepan, F Torres-Cruz, RL Plácido-Lerma, R Udhayakumar, ...
    International Conference on Data Science, Machine Learning and Applications … , 2023
    2023
  • Navigating Cross-Lingual Natural Language Processing: Challenges, Strategies, and Applications
    T Raghu, M Ravichand, N Kocherlakota, TS Rajeswari, A Saxena, ...
    International Conference on Mechanical and Energy Technologies, 203-214 , 2023
    2023
  • Exploring Recent Advances and Applications Across Sectors: A Natural Language Processing Perspective
    K Rajchandar, A Praveena, S Patil, G Dangare, R Udhayakumar, G Fatma
    International Conference on Mechanical and Energy Technologies, 293-304 , 2023
    2023
  • An Empirical Investigation of the Use of ML and Neural Networks in English Learning
    T Raghu, SV Kumar, R Udhayakumar, N Singh, MH Krishna, D Kapila
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023
    2023
    Citations: 1
  • 2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE) November 23-24, 2023 In Collaboration with ECE & CSE Department Raj Kumar …
    A MARIYAPPAN, A PATEL, A MISHRA, A BABBAR
    2023
  • Application of natural language processing (NLP) in machine learning
    P Shetty, R Udhayakumar, A Patil, M Manwal, PS Vadar
    2023 3rd International Conference on Advancement in Electronics … , 2023
    2023
    Citations: 34

MOST CITED SCHOLAR PUBLICATIONS

  • Application of natural language processing (NLP) in machine learning
    P Shetty, R Udhayakumar, A Patil, M Manwal, PS Vadar
    2023 3rd International Conference on Advancement in Electronics … , 2023
    2023.0
    Citations: 34
  • Utilizing social media platforms for artificial intelligence-based detection and developing effective communications in disaster-affected areas
    G Waghmare, S Kumar, R Udhayakumar, BR Mannar, R Singh, N Rawat
    2023 3rd International Conference on Advance Computing and Innovative … , 2023
    2023.0
    Citations: 9
  • Relationship between leadership effectiveness and organizational performance and its effect on human resource management
    SR Banu, V Thulasi, MU Tariq, S Sethi, R Udhayakumar
    Journal of Informatics Education and Research 3 (2) , 2023
    2023.0
    Citations: 6
  • A Study of Representation and Portrayal of Motherhood in Toni Morrison’s Beloved
    DRUKS Lakshmi
    INTERNATIONAL RESEARCH JOURNAL OF COMMERCE, ARTS AND SCIENCE 15 (7), 397-404 , 2024
    2024.0
    Citations: 4
  • Analysis of Factors Affecting Students’ Business Writing Skills
    R Shruthi, RU Kumar, K Abinaya, A Rajeswari, K Savitha
    World Journal of English Language 14 (3) , 2024
    2024.0
    Citations: 3
  • Natural Language Processing in Electronic Health Record Mining for Clinical Decision Support
    P Sreenivasgoud, MK Sharma, BS Kumar, G Nijhawan, HM Al-Jawahry, ...
    2023 International Conference on Artificial Intelligence for Innovations in … , 2023
    2023.0
    Citations: 3
  • Enhancing brain tumor detection classification by computational intelligence
    S Islam, R Udhayakumar, S Kar, US Aswal, DKJB Saini
    2023 Second International Conference on Electronics and Renewable Systems … , 2023
    2023.0
    Citations: 3
  • Exploring the Role of Natural Language Processing in Educational Chatbots: A Machine Learning Approach
    GS Reddy, HA Rizvi, HK Kochhar, A Shaikh, R Udhayakumar, JA Dhanraj
    2024 7th International Conference on Contemporary Computing and Informatics … , 2024
    2024.0
    Citations: 2
  • Studies on effect of pruning and nutrition on yield and quality of fig (Ficus carica L.)
    PB Shelke, GM Waghmare, SD Temak, SP Mahalle, NA Khairkar
    Madras Agricultural Journal 111 (1) , 2024
    2024.0
    Citations: 2
  • English for Commerce And Management : An ESP Approach
    DRU R.Shruthi
    IJFANS International Journal of Food and Nutritional Sciences 11 (8), 593-601 , 2022
    2022.0
    Citations: 2
  • An Empirical Investigation of the Use of ML and Neural Networks in English Learning
    T Raghu, SV Kumar, R Udhayakumar, N Singh, MH Krishna, D Kapila
    2023 10th IEEE Uttar Pradesh Section International Conference on Electrical … , 2023
    2023.0
    Citations: 1
  • Indian mythological and Marginalised view of Rasaathi: The other side of a transgender.
    SD Kumar, S Barathi, M Rekha, SS Shunmuga Priya, P Anandan, ...
    Journal of Pharmaceutical Negative Results 14 (3) , 2023
    2023.0
    Citations: 1
  • Study of Black Women Emotional Struggle in Toni Morrison’s novels “The Bluest Eye” and “Beloved”
    KS Lakshmi, R Udhayakumar
    CONFLUENCE OF CURIOSITY, 167 , 2023
    2023.0
    Citations: 1
  • Estimation of genetic variability, heritability and genetic advance in twenty-one released varieties of oat ( Avena sativa L.) for grain and fodder yield.
    NS Rawat, R Rana, C Mohan, S Kumar
    2022.0
    Citations: 1
  • Are private banks in india seeking welfare of the stakeholders through CSR program?: an empirical study
    G Waghmare, J Mishra, R Shinde
    Empirical Economics Letters 21 (1), 1-22 , 2022
    2022.0
    Citations: 1
  • Chapter-8 The impact of climate change on fruit crops
    S Dhutraj, G Waghmare, RN Gawade
    Chief Editor Dr. RK Naresh 110 , 2022
    2022.0
    Citations: 1
  • Image Of Ayurvedic Product Brands And Buying Behaviour: A Perceptual Mapping For Pune City
    G Waghmare, D Rane, P Anand Kopare, T Agrawal
    Journal of Positive School Psychology http://journalppw. com 6 (11), 453-460 , 2022
    2022.0
    Citations: 1
  • A Comprehensive Analysis of Smart Home Applying Natural Language Processing Using Internet of Technologies
    UR al.
    IEEE-Xplore, 135-138 , 2022
    2022.0
    Citations: 1
  • An Assessment of Hybrid LRU (H-LRU) with Existing Page Replacement Algorithms
    P Khulbe, S Kumar, N Yadav
    International Journal of Computer Applications 99 (17), 51-53 , 2014
    2014.0
    Citations: 1
  • PERFORMANCE OF WHITE SEEDED GRAPE VARIETIES FOR RAISIN RECOVERY AND RAISINS QUALITY UNDER SEMIARID CONDITION
    PS Gharate, GM Waghmare, RG Somkuwar, AK Sharma, PK Ausari, ...
    Citations: 1