Dr. Neelam Sanjeev Kumar

• Computer Vision
• Artificial Intelligence
• Image and Video Processing
• Cloud Computing
• Machine Learning
• Deep Learning
• Explainable AI (XAI)/li>
• Pattern Recognition

• Artificial Intelligence (Theory & Lab)
• Programming for Problem Solving (Theory & Lab)
• Soft Computing And Its application(Theory)
• nformation System for Engineers (Theory)
• Machine Learning(Theory & Lab)
• Computer Network (Theory & Lab)
• Internet of Things (Theory & Lab)

• Assistant Professor (S.G.)—SRM Institute of Science and Technology, Vadapalani Campus, Chennai, July 2023 – Onwards
• Assistant Professor (S.G.), Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha University, Chennai, 2021- 2023.
• Senior Research Fellow, Faculty of Information and Communication Engineering, College of Engineering, Anna University, Guindy, Chennai 2016-2020.
• Assistant Professor ,Department of Electronics and Communication, Dr. MGR. Educational & Research Institute, Chennai from 2013 - 2016.
• Assistant Professor, Department of Electronics and Communication, Kodaikanal institute of technology, Kodaikanal Tamil Nadu, 2008- 2011

• All India ranks 254 in GATE 2007
• M.Tech. (2011-2013 batch) University Rank 1, Gold Medalist
• received the “Best Paper Award” in International Conference on Advanced Data Analytics and Computing (ICADAC) 2025, hosted by the Greater Kolkata College of Engineering and Management,2025
• received the “Best Paper Award” at the International Conference IRCCTSD, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2024

• [1] P. Dinesh, E. Y. S. Harshith, S. A. Athithya, R. P. Ragavan, M. Azam, and Neelam Sanjeev Kumar, "Real-Time Detection of DDoS Detection and Mitigation by Hybrid Particle Swarm Optimization with CNN and LSTM," in 2026 International Conference on Computing, Electronics & Communications Engineering (ICCECE), IEEE, 2026, pp. 1–6.
• [2] G. Chandrasekaran, Neelam Sanjeev Kumar, A. Chokkalingam, V. Gowrishankar, N. Priyadarshi, and B. Khan, "IoT enabled smart solar water heater system using real time ThingSpeak IoT platform," IET Renewable Power Generation, vol. 19, no. 1, p. e12760, 2025.
• [3] G. Chandrasekaran, R. Thangaraj, Neelam Sanjeev Kumar, et al., "Test scheduling of network-on-chip using hybrid WOA-GWO algorithm," Intelligent Data Analysis, vol. 29, no. 3, 2025.
• [4] G. Devisetty and Neelam Sanjeev Kumar, "Exploring and Contrasting the Forecasting of Innovative Bradycardia through the Naive Bayes Algorithm, Alongside an Accuracy Evaluation Against the Support Vector Machine," in Case Studies on Holistic Medical Interventions, CRC Press, 2025, pp. 103–110.
• [5] G. Devisetty and Neelam Sanjeev Kumar, "Performance analysis of accuracy for prediction of innovative bradycardia using k-nearest neighbor classifier over support vector machine," in Case Studies on Holistic Medical Interventions, CRC Press, 2025, pp. 111–118.
• [6] V. Harshni, S. Singh, R. Indhumathi, Neelam Sanjeev Kumar, S. Chowdhury, and S. S. Patra, "DLIoMT: deep learning approaches for IoMT-overview, challenges and the future," in 2025 International Conference on Computer, Electrical & Communication Engineering (ICCECE), IEEE, 2025, pp. 1–6.
• [7] K. Janani and Neelam Sanjeev Kumar, "Performance analysis of accuracy for prediction of innovative cerebral stroke using k-nearest neighbor classifier over support vector machine," AIP Conference Proceedings, vol. 3252, no. 1, p. 020172, 2025.
• [8] D. M. Kumar, E. Shuchitra, N. N. Shree, K. Vivin, R. Jayachandhran, and Neelam Sanjeev Kumar, "Accident-Prone Road Segment Prediction and Traffic Forecasting Using Machine Learning," in 2025 IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, 2025, pp. 310–315.
• [9] Neelam Sanjeev Kumar, H. A. M. Hussain, P. H. Kumar, and A. Abinash, "Analysis of Micro Bacteria Organism Classification by Using Convolution Neural Network with Improved Accuracy," in Computing Technologies for Sustainable Development (IRCCTSD). Communications in Computer and Information Science, vol. 2360, Springer, Cham, 2025.
• [10] Neelam Sanjeev Kumar, A. M. Enoch, W. Carey, et al., "Hybrid Machine Learning Framework for Secure Information Verification in Social Media," in 2025 IEEE 17th International Conference on Computational Intelligence and Communication Networks (CICN), IEEE, 2025, pp. 907–913.
• [11] Neelam Sanjeev Kumar, C. Senthilkumar, V. Velmurugan, G. Sangar, and G. Chandrasekaran, "Optimization of Memory Usage in High-Speed Cameras using FPGA," in 2025 International Conference on Electronics and Renewable Systems (ICEARS), IEEE, 2025, pp. 427–432.
• [12] Neelam Sanjeev Kumar, C. Senthilkumar, R. Nanmaran, G. Sangar, and G. Chandrasekaran, "Denoising of MRI and Brain Tumor Classification using Local Binary Pattern and SVM Classifier," in 2025 International Conference on Electronics and Renewable Systems (ICEARS), IEEE, 2025, pp. 1854–1859.
• [13] I. H. Tabassum and Neelam Sanjeev Kumar, "Analysis and comparison for innovative adult-onset diabetes mellitus prediction with increased accuracy using logistic regression over support vector machine," AIP Conference Proceedings, vol. 3252, no. 1, p. 020174, 2025.
• [14] M. M. Adnan, R. Pant, Y. Nirsanametla, T. Fatima, M. Kumar, and Neelam Sanjeev Kumar, "The Development of Structured Tele Based Medicine Concept Using Programmable System," in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2024, pp. 1285–1289.
• [15] B. Chinnappan, K. Hakim, Neelam Sanjeev Kumar, and V. Elumalai, "Blockchain and IoT integration for secure short-term and long-term air quality monitoring system using optimized neural network," Environmental Science and Pollution Research, vol. 31, no. 27, pp. 39372–39387, 2024.
• [16] M. H. Fallah, K. S. Raju, R. Venkatasubramanian, S. Bansal, R. Soujanya, and Neelam Sanjeev Kumar, "Enhancing Pharmaceutical Supply Chain Visibility Using IoT and Blockchain," in 2024 International Conference on IoT, Communication and Automation Technology (ICICAT), IEEE, 2024, pp. 1190–1195.
• [17] M. I. Habelalmateen, R. Singh, S. Chowdhury, S. P. Sanaboina, A. Badhoutiya, and Neelam Sanjeev Kumar, "An Early Prediction of Diseases via ML Based Algorithm in Hybrid with the Existing Structure," in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2024, pp. 1295–1299.
• [18] M. I. Habelalmateen, A. Kaur, A. Tiwari, M. Victor, Neelam Sanjeev Kumar, et al., "Applying Artificial Bee Colony Algorithm to Improve UWSNs Communication," in 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS), IEEE, 2024, pp. 1–5.
• [19] G. Kumar, B. Laxmaiah, S. Pant, Y. Kumar, H. Alabdeli, and Neelam Sanjeev Kumar, "A Better Way of Allocation of Resources in the Field of CECCN," in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2024, pp. 1603–1607.
• [20] H. Kumar, L. Jasim, A. Gehlot, G. K. Devi, K. Yadav, and Neelam Sanjeev Kumar, "An Innovative Way of Empirical Analysis of Various Structures used in DL Algorithms for the Better Practices," in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2024, pp. 1372–1375.
• [21] Neelam Sanjeev Kumar, G. Deepika, V. Goutham, B. Buvaneswari, R. V. K. Reddy, S. Angadi, C. Dhanamjayulu, R. Chinthaginjala, F. Mohammad, and B. Khan, "HARNet in deep learning approach—a systematic survey," Scientific Reports, vol. 14, no. 1, p. 8363, 2024.
• [22] Neelam Sanjeev Kumar, M. Lawanyashri, M. Sivaram, V. Porkodi, E. Gangadevi, and G. N. Reddy, "Integration of Convolutional Neural Networks for Automated Plant Disease Identification in Timber Crops," in 2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies, IEEE, 2024, pp. 1–5.
• [23] V. N. Kumar, M. Al-Farouni, D. Siri, A. Badhoutiya, and Neelam Sanjeev Kumar, et al., "Anomaly Detection in Provenance Data Using Autoencoder Network," in 2024 International Conference on IoT, Communication and Automation Technology (ICICAT), IEEE, 2024, pp. 1184–1189.
• [24] R. Munirathinam, M. Tamilnidhi, R. Thangaraj, S. Eswaran, G. Chandrasekaran, and Neelam Sanjeev Kumar, "Automatic multiclass classification of laryngeal cancer using deep convolution neural networks," Electronics Letters, vol. 60, no. 1, p. e13070, 2024.
• [25] J. Narasimharao, R. Hariharan, E. Sudha, D. Bisht, E. Mohan, M. Almusawi, and Neelam Sanjeev Kumar, "The Impactful Role of ML Algo in the Field of Enactment Nostrum: An Intensive/Deep Review," in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2024, pp. 1407–1411.
• [26] K. S. Raju, R. Ahila, M. Al-Farouni, G. Karuna, K. Yadav, and Neelam Sanjeev Kumar, "A predictive analytics approach to traceability in digital forensics using time series analysis," in 2024 International Conference on IoT, Communication and Automation Technology (ICICAT), IEEE, 2024, pp. 1178–1183.
• [27] J. Ranjith, M. Al-Farouni, R. Anitha, E. Poornima, K. Sharma, and Neelam Sanjeev Kumar, "Deep Reinforcement Learning for Dynamic Compliance Management in Blockchain Supply Chains: An LSTM Perspective," in 2024 International Conference on IoT, Communication and Automation Technology (ICICAT), IEEE, 2024, pp. 1196–1200.
• [28] A. R. Reddy, P. B. E. Prabhakar, M. Al-Farouni, E. Annapoorna, A. Shukla, and Neelam Sanjeev Kumar, "AI-Driven Provenance Tracking for Mitigating Fraud in E-Commerce Platforms Using Neural Networks," in 2024 International Conference on IoT, Communication and Automation Technology (ICICAT), IEEE, 2024, pp. 1172–1177.
• [29] D. Santhakumar, Neelam Sanjeev Kumar, R. Arunprasath, G. G. R. Sekhar, S. S. Jalal, and F. Al-Taee, "Identification of Paradigms of Heliacal Luminosity Through Onotological Mechanism and 5G Networks," in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2024, pp. 215–218.
• [30] S. J. J. Thangaraj, Neelam Sanjeev Kumar, A. Saranya, C. R. Bhat, D. S. Kareem, and H. Shareef, "A Development of Designing a Sensor N/W for Retrieving the Data from WSN via SBT," in 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), IEEE, 2024, pp. 194–198.
• [31] M. Ayyannan, A. Mohanarathinam, D. Sathya, T. Nithya, M. Tamilnidhi, and Neelam Sanjeev Kumar, "Medical image classification using deep learning techniques: A review," in 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), IEEE, 2023, pp. 1327–1332.
• [32] T. K. Devi, Neelam Sanjeev Kumar, G. Chandrasekaran, P. Sakthivel, N. Priyadarshi, M. S. Bhaskar, and N. Kumar, "IoT Based remote monitoring of gas leakage in power plants," in 2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET), IEEE, 2023, pp. 1–5.
• [33] G. Devisetty and Neelam Sanjeev Kumar, "Prediction of bradycardia using decision tree algorithm and comparing the accuracy with support vector machine," E3S Web of Conferences, vol. 399, p. 09004, 2023.
• [34] R. Gadde and Neelam Sanjeev Kumar, "Support Vector Machine Algorithm with Improved Precision vs Logistic Regression Algorithm for Prediction of Cardiovascular Disease," Journal of Survey in Fisheries Sciences, vol. 10, no. 1S, pp. 1314–1324, 2023.
• [35] Neelam Sanjeev Kumar, N. Priyadarshi, N. Kumar, A. Biradar, and S. Kumari, "Analysis and comparison for prediction of chronic kidney disease using convolution neural network algorithm over support vector machine algorithm," AIP Conference Proceedings, vol. 2771, no. 1, p. 020026, 2023.
• [36] Neelam Sanjeev Kumar, N. Priyadarshi, and N. Kumar, "Performance analysis of decision based unsymmetrical trimmed median filter for removal of high-density salt and pepper noise," AIP Conference Proceedings, vol. 2771, no. 1, p. 020028, 2023.
• [37] V. Kumarasamy, V. K. T. Ramasamy, G. Chandrasekaran, G. Chinnaraj, P. Sivalingam, and Neelam Sanjeev Kumar, "A review of integer order PID and fractional order PID controllers using optimization techniques for speed control of brushless DC motor drive," International Journal of System Assurance Engineering and Management, vol. 14, no. 4, pp. 1139–1150, 2023.
• [38] S. Mahendrakumar, Neelam Sanjeev Kumar, G. Chandrasekaran, K. Vanchinathan, K. Vanitha, N. Priyadarshi, M. S. Bhaskar, and N. Kumar, "COVID-19 SOP Compliance And Monitoring Electronic System For Business And Public Places Using Arduino Uno," in 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), IEEE, 2023, pp. 478–482.
• [39] G. Pradeepkumar, R. Bhat, K. Senthilvadivu, J. S. Sharanyanivasini, Neelam Sanjeev Kumar, et al., "A Novel Hybrid Approach to Smart Door Locking System based on Real Time Data Transmission," in 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2023, pp. 1–6.
• [40] G. Pradeepkumar, P. Vijayakumar, N. Chandrasekaran, C. R. Bhat, C. Senthilkumar, and Neelam Sanjeev Kumar, "Safe Transportation System using IoT based Alcohol Detection," in 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2023, pp. 1521–1526.
• [41] G. Pradeepkumar, G. P. Santhoshkumar, C. R. Bhat, M. Jeyalakshmi, T. Muthukumar, and Neelam Sanjeev Kumar, "IoT based smart u-turn vehicle accident prevention system," in 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), IEEE, 2023, pp. 1226–1231.
• [42] G. Pradeepkumar, M. Prabu, M. Ayyannan, V. Pratheep, S. Revathi, and Neelam Sanjeev Kumar, "Healing And Preventing Trees From Beetles Usingpesticides," in 2023 International Conference on Computer Communication and Informatics (ICCCI), IEEE, 2023, pp. 1–5.
• [43] C. Pratheeba, M. Muthuvinayagam, M. S. Ramkumar, C. R. Bhat, P. Maniraj, and Neelam Sanjeev Kumar, "A review of an off grid solar DC system for rural houses," in 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), IEEE, 2023, pp. 1837–1843.
• [44] V. Ravichandran, G. Singaram, J. Velmurugan, M. Sivaramkrishnan, J. Karthikeyan, and Neelam Sanjeev Kumar, "A Review of the Challenges in EV Wireless Charging Technology," in 2023 8th International Conference on Communication and Electronics Systems (ICCES), IEEE, 2023, pp. 263–269.
• [45] S. Sasikanth, A. Kumar, Neelam Sanjeev Kumar, and G. Pradeepkumar, "IoT based Food Spoilage Detection Monitoring using Blynk," in 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, 2023, vol. 1, pp. 1093–1098.
• [46] M. Subramaniam, V. Krishnan, C. Rambabu, G. Chandrasekaran, and Neelam Sanjeev Kumar, "Design of NULLMAC protocol for mobile ad hoc network using adaptive antenna array," Mobile Information Systems, vol. 2023, pp. 1–11, 2023.
• [47] T. R. VB, R. Bhat, Neelam Sanjeev Kumar, et al., "Efficient Method to Monitor Power Consumption in Industry Using Lorawanand Rs485 Retrofit," in 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2023, pp. 1–7.
• [48] G. V. S. Charan and Neelam Sanjeev Kumar, "Analysis and Comparison for Innovative Prediction of COVID-19 using Logistic Regression Algorithm over the Decision Tree Algorithm with Improved Accuracy," Cardiometry, no. 25, pp. 897–903, 2022.
• [49] G. V. S. Charan and Neelam Sanjeev Kumar, "Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Support Vector Machine over Neural Network algorithm with Improved Accuracy," Cardiometry, no. 25, pp. 904–910, 2022.
• [50] G. V. S. Charan and Neelam Sanjeev Kumar, "Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Decision Tree Algorithm over the Support Vector Machine Algorithm with Improved Accuracy," Cardiometry, no. 25, pp. 891–896, 2022.
• [51] G. V. S. Charan and Neelam Sanjeev Kumar, "Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Logistic Regression algorithm over Support Vector Machine Algorithm with Improved Accuracy," Journal of Pharmaceutical Negative Results, vol. 13, pp. 166–174, 2022.
• [52] G. Chandrasekaran, Neelam Sanjeev Kumar, P. Karthikeyan, and K. Vanchinathan, "Test scheduling and test time minimization of system-on-chip using modified BAT algorithm," IEEE Access, vol. 10, pp. 126199–126216, 2022.
• [53] R. Gadde and Neelam Sanjeev Kumar, "Analysis and comparison of neural network algorithm for prediction of cardiovascular disease over support vector machine algorithm with improved precision," Cardiometry, no. 25, pp. 970–976, 2022.
• [54] R. Gadde and Neelam Sanjeev Kumar, "Analysis and Comparison of Naive Bayes Algorithm for Prediction of Cardiovascular Disease over Support Vector Machine Algorithm with Improved Precision," Cardiometry, no. 25, pp. 963–969, 2022.
• [55] R. Gadde and Neelam Sanjeev Kumar, "Analysis and Comparison of Random Forest Algorithm for Prediction of Cardiovascular Disease over Support Vector Machine Algorithm with Improved Precision," Cardiometry, no. 25, pp. 977–982, 2022.
• [56] Neelam Sanjeev Kumar, G. Chandrasekaran, J. Thangavel, V. Karchinathan, G. Chinnaraj, N. Priyadarshi, M. S. Bhaskar, M. G. Hussien, F. F. M. El-Sousy, and M. M. Ali, "A novel design methodology and numerical simulation of BLDC motor for power loss reduction," Applied Sciences, vol. 12, no. 20, p. 10596, 2022.
• [57] Neelam Sanjeev Kumar, G. Chandrasekaran, and P. Karthikeyan, "Automated Dam Data Acquisition and Analysis in Real-Time," in Distributed Computing and Optimization Techniques: Select Proceedings of ICDCOT 2021, Springer, 2022, pp. 199–207.
• [58] S. Mahendrakumar, Neelam Sanjeev Kumar, G. Chandrasekaran, K. Vanitha, N. Priyadarshi, T. Mahajan, and N. Kumar, "Fruit Disease and Freshness Identification by Image Processing Method Using Raspberry Pi," in 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), IEEE, 2022, pp. 1–5.
• [59] V. S. K. Pokala and Neelam Sanjeev Kumar, "Analysis and Comparison for Prediction of Diabetic among Pregnant Women using Innovative Decision Tree algorithm over Support Vector Machine Algorithm with Improved Accuracy," Journal of Pharmaceutical Negative Results, pp. 166–174, 2022.
• [60] V. S. K. Pokala and Neelam Sanjeev Kumar, "Analysis and comparison for prediction of diabetic among pregnant women using innovative K-nearest neighbor algorithm over logistic regression with improved accuracy," Cardiometry, no. 25, pp. 949–955, 2022.
• [61] V. S. K. Pokala and Neelam Sanjeev Kumar, "Analysis and comparison for prediction of diabetic among pregnant women using innovative support vector machine algorithm over random forest algorithm with improved accuracy," Cardiometry, no. 25, pp. 956–962, 2022.
• [62] V. S. K. Pokala and Neelam Sanjeev Kumar, "Analysis and comparison for prediction of diabetic pregnant women using innovative principal component analysis algorithm over support vector machine algorithm with improved accuracy," Cardiometry, no. 25, pp. 942–948, 2022.
• [63] S. Rajan, Neelam Sanjeev Kumar, G. Chandrasekaran, K. Sowmiya, K. Varalakshmi, N. Priyadarshi, M. S. Bhaskar, and N. Kumar, "Atmospheric monitoring and fire prevention electronic system for mining workers," in 2022 IEEE 9th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), IEEE, 2022, pp. 1–5.
• [64] C. Srinivasulureddy, Neelam Sanjeev Kumar, and V. Binu, "Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor using Decision Tree Algorithm over Support Vector Machine Algorithm with Improved Accuracy," Cardiometry, no. 25, pp. 872–877, 2022.
• [65] C. Srinivasulureddy, Neelam Sanjeev Kumar, and V. Binu, "Analysis and comparison for innovative prediction technique of breast cancer tumor by naive bayes algorithm over support vector machine algorithm with improved accuracy," Cardiometry, no. 25, pp. 865–871, 2022.
• [66] C. Srinivasulureddy and Neelam Sanjeev Kumar, "Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor using k Nearest Neighbor Algorithm over Support Vector Machine Algorithm with Improved Accuracy," Cardiometry, no. 25, pp. 878–884, 2022.
• [67] C. Srinivasulureddy and Neelam Sanjeev Kumar, "Analysis and Comparison for Innovative Prediction Technique of Breast Cancer Tumor by Linear Discriminant Analysis Algorithm over Support Vector Machine Algorithm with Improved Accuracy," Cardiometry, no. 25, pp. 885–890, 2022.
• [68] M. Subramaniam, C. Rambabu, G. Chandrasekaran, and Neelam Sanjeev Kumar, "A Traffic Density-Based Congestion Control Method for VANETs," Wireless Communications and Mobile Computing, vol. 2022, p. 7551535, 2022.
• [69] G. Chandrasekaran, P. Karthikeyan, Neelam Sanjeev Kumar, and V. Kumarasamy, "Test scheduling of system-on-chip using dragonfly and ant lion optimization algorithms," Journal of Intelligent & Fuzzy Systems, vol. 40, no. 3, pp. 4905–4917, 2021.
• [70] G. Chandrasekaran, P. Periyasamy, P. Karthikeyan, Neelam Sanjeev Kumar, and V. Kumarasamy, "Whale and grey wolf optimization algorithms for test scheduling of system-on-chip," Solid State Technology, vol. 63, no. 5, pp. 3931–3944, 2020.
• [71] M. Deivakani, C. Singh, J. R. Bhadane, G. Ramachandran, and Neelam Sanjeev Kumar, "ANN algorithm based smart agriculture cultivation for helping the farmers," in 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), IEEE, 2021, pp. 1–6.
• [72] P. Karthikeyan, G. Chandrasekaran, Neelam Sanjeev Kumar, E. Sengottaiyan, P. Mani, D. Kalavathi, and V. Gowrishankar, "IoT based moisture control and temperature monitoring in smart farming," Journal of Physics: Conference Series, vol. 1964, no. 6, p. 062056, 2021.
• [73] Neelam Sanjeev Kumar and P. Nirmalkumar, "A novel architecture of smart healthcare system on integration of cloud computing and IoT," in 2019 International Conference on Communication and Signal Processing (ICCSP), IEEE, 2019, pp. 0940–0944.
• [74] Neelam Sanjeev Kumar and P. Nirmalkumar, "An intelligent decision-support system for telemedicine," Applied Mathematics & Information Sciences, vol. 5, no. 12, pp. 983–993, 2018.
• [75] Neelam Sanjeev Kumar, G. Chandrasekaran, and K. P. Rajamanickam, "An integrated system for smart industrial monitoring system in the context of hazards based on the internet of things," International Journal of Safety and Security Engineering, vol. 11, no. 1, pp. 123–127, 2021.
• [76] C. Rambabu, F. Fareeza, and Neelam Sanjeev Kumar, "Gesture-Based Wheelchair Control For The Physically Challenged," International Journal of Applied Engineering Research, vol. 10, no. 8, pp. 20693–20702, 2015.
• [77] A. Shrivastava, A. Rizwan, Neelam Sanjeev Kumar, R. Saravanakumar, I. S. Dhanoa, P. Bhambri, and B. K. Singh, "VLSI implementation of green computing control unit on Zynq FPGA for green communication," Wireless Communications and Mobile Computing, vol. 2021, p. 4655400, 2021.

BOOK PUBLICATIONS:

• Author and Editor of a book, “Feature Extraction and classification in Context of Machine learning” Published with INSC international Publisher.2022.
• Published a book chapter, “Automated Dam Data Acquisition and Analysis in Real-Time” in Springer’s book “Distributed Computing and Optimization Techniques”, 199-207, 2022.