Over the past ten years, my research has centered around constructing predictive models using real-time datasets from various domains, including Intelligent Transportation Systems, Smart Farming, Smart Grids, and Healthcare. Currently, I am dedicated to developing applications within the Healthcare domain. Prior to this, I was involved in the AI Convergence and Research project. My primary focus is on analyzing real-time datasets using Data Mining techniques. This involves the analysis of real-time data from multiple Korean data hubs to construct predictive models. My research interests encompass a wide range of topics, including Smart Farming, Cryptography, Biometric Technologies, Data Mining, Machine Learning, and Big Data Analytics. Parallel to my research, I am passionate about education. I am dedicated to imparting knowledge and technical skills to students, particularly in the domain of Data Science and related fields. In the classroom, I emphasize the practical application of theoretical concepts, ensuring that students not only learn but also understand how these concepts are applied in real-world scenarios. 

1. Seethi Reddy Reddisekhar Reddy, Shaik Jakeer, Sathishkumar V E, H. Thameem Basha, Jaehyuk Cho, "Hybrid approach of deep feature extraction using BERT– OPCNN FIAC with customized Bi-LSTM for rumor text classification", Alexandria Engineering Journal, vol. 90, pp. 65-75, 2024 

2. Seethi Reddy Reddisekhar Reddy, Shaik Jakeer, Sathishkumar V E, H. Thameem Basha, Jaehyuk Cho, "Numerical study of TC4-NiCr/EG+Water hybrid nanofluid over a porous cylinder with Thompson and Troian slip boundary condition: Artificial neural network model", Case Studies in Thermal Engineering, vol. 53, 103794,2024 

3. Kogilavani Shanmugavadivel, Sathishkumar V E, Jaehyuk Cho, Malliga Subramanian, "Advancements in computer-assisted diagnosis of Alzheimer’s disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection", Ageing Research Reviews, vol. 91, 102072,2023 

4. S. Neelakandan, Sathishkumar V E, A. Chinnasamy, Jaehyuk Cho, "AFuzzy adaptive learning control network (FALCN) for image clustering and content-based image retrieval on noisy dataset", AIMS Mathematics, vol. 8, no.8, pp. 18314–18338,2023 

5. Shaik Jakeer, Shaik Jakeer, Sathishkumar V E, Hayath Thameem Basha, Jaehyuk Cho, "Exploring the Influence of Induced Magnetic Fields and Double-Diffusive Convection on Carreau Nanofluid Flow through Diverse Geometries: A Comparative Study Using Numerical and ANN Approaches", Mathematics, vol. 11, no.17, 3687,2023 

6. Shaik Jakeer, Sathishkumar V E, Seethi Reddy Reddisekhar Reddy, Hayath Thameem Basha, "Numerical and Machine Learning Approach for Fe3O4-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation", Symmetry, vol. 15, no.8, 1503,2023 

7. C.N. Vanitha, Sathishkumar V E, S.A. Krishna, Jaehyuk Cho, "Efficient qualitative risk assessment of pipelines using relative risk score based on machine learning", Scientific Reports, vol. 13, 14918,2023 

8. Shanmugam Karuppusamy, Sathishkumar V E, Kanagaraj Dinesh Babu, Pandurengan Sakthivel, "Growth and Characterization of Organic 2-Chloro 5-Nitroaniline Crystal Using the Vertical Bridgman Technique", Crystals, vol. 13, no.9, 1349,2023 

9. Sathishkumar V E, R. Vadivel, Jaehyuk Cho, Nallappan Gunasekaran, "Exploring the finite-time dissipativity of Markovian jump delayed neural networks", Alexandria Engineering Journal, vol. 79, pp. 427-437,2023 

10. Malliga Subramanian, Jaehyuk Cho, Sathishkumar V E, Akash Murugesan, Ramya Chinnasamy, "Enhancing Sustainable Transportation: AI-Driven Bike Demand Forecasting in Smart Cities", Sustainability, vol. 15, no.18, 13840,2023 

11. Malliga Subramanian, Sathishkumar V E, G. Deepalakshmi, Jaehyuk Cho, G. Manikandan, "A survey on hate speech detection and sentiment analysis using machine learning and deep learning models", Alexandria Engineering Journal, vol. 80, pp. 110-121,2023 

12. Sathishkumar V E, A.G. Ramu, Jaehyuk Cho, "Machine learning algorithms to predict the catalytic reduction performance of eco-toxic nitrophenols and azo dyes contaminants (Invited Article)", Alexandria Engineering Journal, vol. 72, pp. 673-693,2023 

13. Sathishkumar V E, Yongyun Cho, "MRMR-EHO-Based Feature Selection Algorithm for Regression Modelling", Tehnički vjesnik, vol. 30, pp. 574-583, 2023 

14. Sathishkumar V E, Jaehyuk Cho, Malliga Subramanian, Obuli Sai Naren, "Forest fire and smoke detection using deep learning based Learning without Forgetting", Fire Ecology, vol. 10, pp. 1-17, 2023 

15. Malliga Subramanian, Sathishkumar V E, Jaehyuk Cho, Kogilavani Shanmugavadivel, "Learning without forgetting by leveraging transfer learning for detecting COVID-19 infection from CT images", Scientific Reports, vol. 13, no. 1, 2023 

16. Anbukkarasi S, Sathishkumar V E, C R Dhivya, Jaehyuk Cho, "Enhanced Feature Model based Hybrid Neural Network for Text Detection on Signboard, Billboard and News tickers", IEEE Access, vol. 11, 2023 

17. Malliga Subramanian, Sathishkumar V E, Jaehyuk Cho, Obuli Sai Naren, "Multiple types of Cancer classification using CT/MRI images based on Learning without Forgetting powered Deep Learning Models", IEEE Access, vol. 11, pp. 10336-10354, 2023 

18. Natesan P, Sathishkumar V E, Sandeep Kumar M, Maheswari Venkatesan, Prabhu Jayagopal, Shaikh Muhammad Allayear, "A Distributed Framework for Predictive Analytics using Big Data and MapReduce Parallel Programming", Mathematical Problems in Engineering, pp. 1-10, 2023 

19. Malliga Subramanian, Vani Rajasekar, Sathishkumar V E, Kogilavani Shanmugavadivel, PS Nandhini, "Effectiveness of Decentralized Federated Learning Algorithms in Healthcare: A Case Study on Cancer Classification", Electronics, vol. 11, no. 24, pp. 4117, 2022 

20. Kogilavani Shanmugavadivel, Sathishkumar V E, Sandhiya Raja, T Bheema Lingaiah, S Neelakandan, Malliga Subramanian, "Deep learning based sentiment analysis and offensive language identification on multilingual code-mixed data", Scientific Reports, vol. 12, no. 1, pp. 1-12, 2022 

21. Prakash Mohan, Sathishkumar V E, Neelakandan Subramani, Malliga Subramanian, Sangeetha Meckanzir, "Handcrafted Deep-Feature-Based Brain Tumor Detection and Classification Using MRI Images", Electronics, vol. 11, no. 24, pp. 4178, 2022 

22. Kogilavani Shanmugavadivel, Sathishkumar V E, M. Sandeep Kumar,V. Maheshwari,J. Prabhu,Shaikh Muhammad Allayear, "Investigation of Applying Machine Learning and Hyperparameter Tuned Deep Learning Approaches for Arrhythmia Detection in ECG Images", Computational and Mathematical Methods in Medicine, 2022. 

23. J. Chinna Babu, M. Sandeep Kumar, Prabhu Jayagopal,Sathishkumar V E , Sukumar Rajendran, Sanjeev Kumar, Alagar Karthick, Akter Meem Mahseena, "IoT-Based Intelligent System for Internal Crack Detection in Building Blocks", Journal of Nanomaterials, 2022. 

24. N. Shanthi, Sathishkumar V E, K. Upendra Babu, P. Karthikeyan, Sukumar Rajendran, Shaikh Muhammad Allayear, "Analysis on the Bus Arrival Time Prediction Model for Human-Centric Services Using Data Mining Techniques", Computational Intelligence and Neuroscience, 2022. 

25. E. Pavithra, Janakiramaiah, L.V.NarasimhaPrasad, D.Deepa, N.Jayapandian, Sathishkumar V E, "Visiting Indian Hospitals Before, During and After Covid", International Journal of Uncertainity, Fuzziness, and Knowledge- Based Systems, 2022. 

26. Rajalaxmi R R, Narasimha Prasad, B. Janakiramaiah, C S Pavankumar, N Neelima, Sathishkumar V E, "Optimizing Hyperparameters and Performance Analysis of LSTM Model in Detecting Fake News on Social media",ACM Transactions on Asian and Low-Resource Language Information Processing, 2022, 

27. Malliga Subramanian, M Sandeep Kumar, Sathishkumar V E, Jayagopal Prabhu, Alagar Karthick, S Sankar Ganesh, Mahseena Akter Meem, "Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images", Computational Intelligence and Neuroscience, 2022, 

28. Yufei, Liu, Sathishkumar V E, Adhiyaman Manickam, "Augmented reality technology based on school physical education training", Computers & Electrical Engineering, Vol. 99, 2022, 

29. Malliga Subramanian, L.V. Narasimha Prasad, B. Janakiramaiah, A. Mohan Babu, Sathishkumar V E, "Hyperparameter Optimization for Transfer Learning of VGG16 for Disease Identification in Corn Leaves Using Bayesian Optimization", Big Data, 2021, 

30. Sita Kumari Kotha, Meesala Shobha Rani, Bharat Subedi, Anilkumar Chunduru, Aravind Karrothu, Bipana Neupane , Sathishkumar V E, "A comprehensive review on secure data sharing in cloud environment", Wireless Personal Communications, 2021, 

31. Krishnamoorthy, L.V.Narasimha Prasad, C.S.Pavan Kumar, BharatSubedi, Haftom Baraki Abrahae, Sathishkumar V E, "Rice Leaf Diseases Prediction using deep neural networks with transfer learning", Environmental Research, Vol. 198, 111275, 2021. 

32. B.S.Reddy, A.K.Maurya, Sathishkumar V E, P.L.Narayana, M.H.Reddy, Alaa Baazeem, Kwon-KooCho, N.S.Reddy "Prediction of batch sorption of barium and strontium from saline water", Environmental Research, Vol. 197, 111107, April 2021, 

33. Zhang, Mengqia, Wang, Xi, Sathishkumar V E, Sivakumar V, "Machine learning techniques based on security management in smart cities using robots", WORK: A Journal of Prevention, Assessment & Rehabilitation, vol. 68, no. 3, pp. 891-902, 2021, 

34. Bharti, Jayanti Prabha, Pratishtha Mishra, Sathishkumar V E, Yongyun Cho, and Pijush Samui, "Slope Stability Analysis Using Rf, Gbm, Cart, Bt and Xgboost", Geotechnical and Geological Engineering, vol. 39, pp. 3741–3752, 2021, 

35. Jie Chen, Wei Shi, Xi Wang, Sanjeevi Pandian, Sathishkumar V E, "Workforce Optimization for Improving Customer Experience in Urban Transportation using Heuristic Mathematical Model", International Journal of Shipping and Transport Logistics, vol. 20, no. 5, pp. 538-553, 2021, 

36. Sathishkumar V E, Changsun Shin, Yongyun Cho, "Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city", Building Research & Information, vol. 49. no. 1, pp. 127-143, 2021, 

37. Ronggang Zhang, Sathishkumar V E, R. Dinesh Jackson Samuel, "Fuzzy Efficient Energy Smart Home Management System for Renewable Energy Resources", Sustainability, vol. 12, no. 8, pp. 1-15, 2020, 

38. Sathishkumar V E, Jangwoo Park, Yongyun Cho "Seoul Bike Trip duration prediction using data mining techniques", IET Intelligent Transport Systems, vol. 14, no. 11, pp. 1465-1474, 2020., 

39. Sathishkumar V E, Jangwoo Park, Yongyun Cho, "Using data mining techniques for bike sharing demand prediction in Metropolitan city", Computer Communications, vol. 153, pp. 353-366, 2020, 

40. Sathishkumar V E, Yongyun Cho, "Season wise bike sharing demand analysis using random forest algorithm", Computational Intelligence, pp. 1-26, 2020, 

41. Sathishkumar V E, Yongyun Cho, "A rule-based model for Seoul Bike sharing demand prediction using Weather data", European Journal of Remote Sensing, Vol. 52, no. 1, pp. 166-183, 2020, 

1. Chunduru Anilkumar, Swathi Lenka, N. Neelima, Sathishkumar V E, "A Secure Method of Communication Through BB84 Protocol in Quantum Key Distribution", Scalable Computing: Practice and Experience, vol. 25, no. 1, 2024 

2. Neelakandan S, Sathishkumar V E, Prakash Mohan, Malliga Subramanian, Velmurugan Sambath "A Gradient Boosted Decision Tree-Based Influencer Prediction in Social Network Analysis", Big data and Cognitive Computing, vol. 7, no. 1, 2023 

3. Li Yang, Sathishkumar V E, Adhiyaman Manickam "Information Retrieval and Optimization in Distribution and Logistics Management Using Deep Reinforcement Learning", International Journal of Information Systems and Supply Chain Management (IJISSCM), vol. 16, no. 1, 2023 

4. S. Anbukkarasi, D. Elangovan, Jayalakshmi Periyasamy, Sathishkumar V E, S. Sree Dharinya, M. Sandeep Kumar and J. Prabhu "Phonetic based Forward Online Transliteration Tool from English to Tamil Language", International Journal of Reliability, Quality and Safety Engineering, 2023 

5. E. Gothai, V. Muthukumaran, K. Valarmathi, Sathishkumar V E, Thillaiarasu.N, Karthikeyan P "MapReduce Based Distance Weignted KNN Machine Learning Algorithm for Big Data Applications", Journal of Uncertain Systems, 2022 

6. Sathishkumar V E, Anilkumar Chunduru, Usha Moorthy, Sravankumar B, "An Improved MangoNet Architecture Using Harris Hawks Optimization for Fruit Classification with Uncertainty Estimation", Journal of Uncertain Systems, 2022 

7. Sathishkumar Easwaramoorthy, Anilkumar Chunduru, Usha Moorthy, Sravankumar B, "Review on dynamic group data sharing in cloud environment", International Journal of Science Engineering, Vol. 7, No 2, 2018 

1. Rajnish Kumar Chaturvedi; Dinesh Prasad Sahu; Manoj Kumar Tyagi; Manoj Diwakar; Prabhishek Singh; Achyut Shankar; Sathishkumar V E; "Exploring Precision Agriculture: Employing Grad-CAM for Deep Neural Network in Cotton Image Detection and Segmentation with XAI ", 9th International Conference on Research Innovations (iCRI’24), Bangkok, Thailand, August, 2024 

2. Rajnish Kumar Chaturvedi; Dinesh Prasad Sahu; Manoj Kumar Tyagi; Manoj Diwakar; Prabhishek Singh; Achyut Shankar; Sathishkumar V E; "Visual object detection using audio data", 5th International Conference on Computing and Data Science, Macau, China, July, 2023 

3. S Saravanan; Sathishkumar V E; N.R Rajalakshmi; R Sukumar; V. Muthukumaran, "Prediction and classification of skin melanoma cancer using active hybrid machine learning technique", 4th International Conference on Signal Processing and Machine Learning (CONF-SPML 2023), Oxford, United Kingdom, February, 2023 

4. K Deeba; Sathishkumar V E; V. Maheswari; M Prasanna; R Sukumar, "Context-aware for predicting gestational diabetes using rule – based system", 4th International Conference on Signal Processing and Machine Learning (CONF-SPML 2023), Oxford, United Kingdom, February, 2023 

5. S. V. Kogilavani; Sathishkumar V E; Malliga Subramanian, "AI Powered COVID-19 Detection System using Non-Contact Sensing Technology and Deep Learning Techniques", International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina Del Rey, LA, California, USA, 2022 

6. Malliga Subramanian, Sathishkumar V E, C Ramya, SV Kogilavani, R Deepti, "A Lightweight Depthwise Separable Convolution Neural Network for Screening Covid-19 Infection from Chest CT and X-ray Images", International Conference on Distributed Computing in Sensor Systems (DCOSS 2022), Marina Del Rey, LA, California, USA, 2022 

7. Sathishkumar V E, Priyum Agrawal, Jangwoo Park, Youngyn Cho, "Bike sharing demand prediction using Multiheaded Convolution Neural Networks", 3rd International Conference Exercise Science and Sports Medicine (IWESSE 2020), Mumbai, India, April 2020 

8. Sathishkumar V E, Priyum Agrawal, Jangwoo Park, Youngyn Cho, "Bike sharing demand prediction using Multiheaded Convolution Neural Networks", 3rd International Conference Exercise Science and Sports Medicine (IWESSE 2020), Mumbai, India, April 2020 

9. Sathishkumar V E, A.B.M. Salman Rahman, Jangwoo Park, Changsun Shin, Yongyun Cho, "Using Machine Learning Algorithms for fruit disease classifications", 3rd International Workshop on Electrical and Electronics Engineering (IWEE 2020), Mumbai, India, April 2020 

10. Sathishkumar V E, Saravanakumar Venkatesan, Changsun Shin, Yubin Kim,Yongyun Cho, "Nutrient water supply prediction for fruit production in Greenhouse environment using Artificial Neural Networks", International Conference on Computational Biology and Bioinformatics, Mumbai, India, April 2020 

11. Sathishkumar V E, Yongyun Cho, Changsun Shin "Cardiovascular Disease Analysis and Risk Assessment Using Correlation based Intelligent System", Sino-US International Conference on Health Sciences and Medical Education (Sino-US HSME 2019), Wuhan, China, December 8-9, 2019 .

12. Sathishkumar V E, Myeong-Bae Lee, Jong-Hyun Lim, Changsun Shin, Jangwoo Park, Yongyun Cho, "Industry Energy Consumption prediction using data mining algorithms", 3rd Domestic and International Integration Conference, Chonnam National University, Jeju Island, December 2019 

13. Sathishkumar V E, Changsun Shin, Jangwoo Park, Yongyun Cho, "Hourly Steel Industry Energy Consumption prediction using Machine learning algorithms", KIPS Fall Conference, Jeju National University., Jeju Island, December 2019. (Best Paper Award) 

14. Sathishkumar V E, Myeong-Bae Lee, Jong-Hyun Lim, Changsun Shin, Jangwoo Park, Yongyun Cho, "Predicting Daily Nutrient water consumption by Strawberry plants in a Greenhouse Environment", KIPS Fall Conference, Jeju National University, Jeju Island, December 2019 

15. Sathishkumar Easwaramoorthy, Sankar Thamburasa, Karrothu Aravind, S. Bharath Bhushan, and Hariharan Rajadurai, "Heterogeneous classifier model for E-mail spam classification using FSO feature selection method", " IEEE International Conference Inventive Computation Technologies (ICICT), Coimbatore, 2016 

16. Sathishkumar Easwaramoorthy, Sankar Thamburasa, Guru Samy, S. Bharath Bhushan, Karrothu Aravind, "Digital forensic evidence collection of cloud storage data for investigation", "IEEE International Conference on Recent Trends in Information Technology (ICRTIT), Madras Institute of Technology, Chennai, India, 2016 

17. Sathishkumar Easwaramoorthy, Usha Moorthy, Chunduru AnilKumar, S. Bharath Bhushan, Vishnupriya Sadagopan, "Content Based Image Retrieval with Enhanced Privacy in Cloud Using Apache Spark", "International Conference on Data Science Analytics and Applications, College of Engineering, Guindy, Chennai, India, 2016 

18. Sathishkumar Easwaramoorthy, Aravind Karrothu, F. Sophia, "An Efficient Key Management Infrastructure for Personal Health Records in cloud", "IEEE International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), SSN College of Engineering, Chennai, India, 2016 

19. Sathishkumar Easwaramoorthy, F. Sophia,A. Prathik, "Biometric Authentication using fingernails", "IEEE International conference on Emerging Trends in Engineering, Technology and Science (ICETETS), Kings College of Engineering, Thanjavur, India, 2016 

Aravind Karrothu, Chunduru Anilkumar, Sathishkumar V E ,An Escrow-Free and Authenticated Group Key Management in Internet of Things, Smart Intelligent Computing and Applications, Volume 2 pp 505–512, Springer 

1. Seoul Bike Sharing Demand- UCI Machine Learning Repository 

2. Seoul Bike Trip Duration Prediction- Mendeley Data 

3. Steel Industry Energy Consumption- IEEE DataPort 

4. Nutrient Water Supply for Strawberry Plants in Greenhouse- Mendeley Data 

1. An IoT based Remote Solar Monitoring System Design (Application No: 202141010711 A) 

2. A Novel method of malicious detection by Coactive neuro-fuzzy inference system in P2p Computing network (Application No: 202141008276 A)