Priyan Malarvizhi Kumar

Previous Scheduled Teaching

Published Intellectual Contributions

Book

• Rishiwal, V., Kumar, P., Tomar, A., Malarvizhi Kumar, P. (2023). Towards the Integration of IoT, Cloud and Big Data: Services, Applications and Standards. Springer. https://www.amazon.com/Towards-Integration-IoT-Cloud-Data-ebook/dp/B0CFGLBD9C

Book Chapter

• Thota, C., Sundarasekar, R., Manogaran, G., R, V., Malarvizhi Kumar, P. (2018). Centralized Fog Computing Security Platform for IoT and Cloud in Healthcare System. IGI. https://www.igi-global.com/chapter/centralized-fog-computing-security-platform-for-iot-and-cloud-in-healthcare-system/187898

Conference Proceeding

• Korani, W., Malarvizhi Kumar, P. IoT-Powered BGCNet: Thyroid Disease Detection Enhancement in Healthcare with IBESA based Feature Selection.
• Malarvizhi Kumar, P., Vedantham, K., Selvaraj, J., kavin , B. Enhanced Network Intrusion Detection System Using PCGSO-Optimized BI-GRU Model in AI-Driven Cybersecurity. Houston, TX, 3rd IEEE International Conference on AI in Cybersecurity (ICAIC) 2024.
• Malarvizhi Kumar, P., Rawal, B., Gao, J. (2022). Blockchain-enabled Privacy Preserving of IoT Data for Sustainable Smart Cities using Machine Learning. 2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS). https://ieeexplore.ieee.org/abstract/document/9668530
• Raza, M., Malarvizhi Kumar, P., Hung, D., Davis, W., Nguyen, H., Trestian, R. (2020). A Digital Twin Framework for Industry 4.0 Enabling Next-Gen Manufacturing. 2020 9th International Conference on Industrial Technology and Management (ICITM). https://ieeexplore.ieee.org/abstract/document/9080395
• Malarvizhi Kumar, P., Gokul Nath, C., Vishnu Balan, E., Jeyanthi, R., Rama Prabha, K. (2015). Desktop phishing attack detection and elimination using TSO program. 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM). https://ieeexplore.ieee.org/abstract/document/7225413
• Vishnu Balan, E., Malarvizhi Kumar, P., Gokul Nath, C., Usha Devi, G. (2015). Efficient energy scheme for wireless sensor network application. 2014 IEEE International Conference on Computational Intelligence and Computing Research. https://ieeexplore.ieee.org/abstract/document/7238472
• Vishnu Balan, E., Malarvizhi Kumar, P., Gokulnath, C., Usha Devi, G. (2015). Fuzzy Based Intrusion Detection Systems in MANET. Procedia Computer Science. https://www.sciencedirect.com/science/article/pii/S1877050915005724
• Vishnu Balan, E., Malarvizhi Kumar, P., Gokulnath, C., Usha Devi, G. (2015). Hybrid architecture with misuse and anomaly detection techniques for wireless networks. 2015 International Conference on Communications and Signal Processing (ICCSP). https://ieeexplore.ieee.org/abstract/document/7322846
• Gokulnath, C., Malarvizhi Kumar, P., Vishnu Balan, E., Rama Prabha, K., Jeyanthi, R. (2015). Preservation of privacy in data mining by using PCA based perturbation technique. 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM). https://ieeexplore.ieee.org/abstract/document/7225414

Journal Article

• Malarvizhi Kumar, P., Kamruzzaman, M., Alfurhood, B., Hossain, B., Nagarajan, H., Sitaraman, S. (2024). Balanced Performance Merit on Wind and Solar Energy Contact with Clean Environment Enrichment. IEEE Journal of the Electron Devices Society. https://ieeexplore.ieee.org/document/10413364
• Alfurhood, B., Kamruzzaman, M., Malarvizhi Kumar, P., Hossain, B., Nagarajan, H., Sitaraman, S. (2024). Epilepsy Emotion Classification of Consecutive Brain Images Using IoT-Based Epilepsy Surveillance and Iterative Line Extraction. Cognitive Neurodynamics. Springer.
• Sivaparthipan, C., Malarvizhi Kumar, P., Chandu, T., Muthu, B., Hasan Ali, M., Tomaš, B. (2023). Classification analysis of burnout people's brain images using ontology-based speculative sense model. Computational Intelligence. https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12595
• Gao, J., Manogaran, G., Nguyen, T., Kadry, S., Hsu, C., Malarvizhi Kumar, P. (2022). A Vehicle-Consensus Information Exchange Scheme for Traffic Management in Vehicular Ad-Hoc Networks. IEEE Transactions on Intelligent Transportation Systems. 23 (10) 19602 - 19612. https://ieeexplore.ieee.org/abstract/document/9707610
• Malarvizhi Kumar, P., Konstantinou , C., Basheer, S., Manogaran, G., S. Rawal, B., Chandra Babu, G. (2022). Agreement-Induced Data Verification Model for Securing Vehicular Communication in Intelligent Transportation Systems. IEEE Transactions on Intelligent Transportation Systems. 24 (1) 980 - 989. https://ieeexplore.ieee.org/abstract/document/9905743
• C. B. , S., Muthu, B., G., F., Malarvizhi Kumar, P., Alazab , M., Díaz, V. (2022). Blockchain Assisted Disease Identification of COVID-19 Patients with the Help of IDA-DNN Classifier. Wireless Personal Communications. 1379 (126) 2597–2620. Springer. https://link.springer.com/article/10.1007/s11277-022-09831-7
• Yousafzai, A., Malarvizhi Kumar, P., Hong , C. (2022). Blockchain-based incentive management framework for desktop clouds. Journal of Cluster Computing. 26 (383) 137–156. https://link.springer.com/article/10.1007/s10586-022-03557-8
• Vincent Paul, S., Balasubramaniam, S., Panchatcharam, P., Malarvizhi Kumar, P., Mubarakali, A. (2022). Intelligent Framework for Prediction of Heart Disease using Deep Learning. Arabian Journal for Science and Engineering. https://link.springer.com/article/10.1007/s13369-021-06058-9
• Malarvizhi Kumar, P., Hong, C. (2022). Internet of things for secure surveillance for sewage wastewater treatment systems. Environmental Research. https://www.sciencedirect.com/science/article/abs/pii/S0013935121011944
• Wei, W., C. B, S., Malarvizhi Kumar, P. (2022). Online shopping behavior analysis for smart business using big data analytics and blockchain security. International Journal of Modeling and Simulation. 13 (04) https://www.worldscientific.com/doi/abs/10.1142/S1793962322500532
• Zhao , J., Xi , X., Zhang , L., Malarvizhi Kumar, P. (2022). Reuse of knowledge by efficient data analytics to fix societal challenges. Information Processing & Management. 59 (1) https://www.sciencedirect.com/science/article/abs/pii/S0306457321002454
• Zhang, W., Qinb , G., Zhao, Z., Liu, W., Zhang, S., Malarvizhi Kumar, P. (2022). The role of socioeconomic status gradients for the child's developmental health.. Early Child Development and Care. 193 ((7)) 869-885. London, Taylor & Francis. https://www.tandfonline.com/doi/abs/10.1080/03004430.2022.2050718
• Malarvizhi Kumar, P., Basheer, S., Rawal, B., Afghah, F., Chandra Babu, G., Arunmozhi, M. (2022). Traffic scheduling, network slicing and virtualization based on deep reinforcement learning. Elsevier International Journal on Computers and Electrical Engineering. 100 https://www.sciencedirect.com/science/article/abs/pii/S0045790622002567
• Liu, Y., Zhou, Z., Wang, A., R., D., Malarvizhi Kumar, P. (2021). Brain-computer Interaction Enabled AAC for Visual Interactive Paradigm. International Journal on Artificial Intelligence Tools. https://www.worldscientific.com/doi/abs/10.1142/S0218213021400133
• Manimuthu, A., Dharshini, V., Zografopoulos, I., Malarvizhi Kumar, P., Konstantinou, C. (2021). Contactless Technologies for Smart Cities: Big Data, IoT, and Cloud Infrastructures. SN Computer Science. https://link.springer.com/article/10.1007/s42979-021-00719-0
• Zhan, H., Wang, L., Chen, S., Malarvizhi Kumar, P., P. , M. (2021). Detection and alerting system of nearby medical facilities during emergency using IoT sensors. Journal of Ambient Intelligence and Humanized Computing. https://link.springer.com/article/10.1007/s12652-021-03007-0
• He, Y., Nie, B., Zhang, J., Malarvizhi Kumar, P., Muthu, B. (2021). Fault Detection and Diagnosis of Cyber-Physical System Using the Computer Vision and Image Processing. Wireless Personal Communications. https://link.springer.com/article/10.1007/s11277-021-08774-9
• Manogaran, G., Mohamed Shakeel, P., Baskar, S., Hsu, C., Kadry, S., Sundarasekar, R., Malarvizhi Kumar, P. (2021). FDM: Fuzzy-Optimized Data Management Technique for Improving Big Data Analytics. IEEE Transactions on Fuzzy Systems. https://ieeexplore.ieee.org/abstract/document/9166621
• Zhen, H., Malarvizhi Kumar, P., R. , D. (2021). Internet of Things Framework in Athletics Physical Teaching System and Health Monitoring. International Journal on Artificial Intelligence Tools. https://www.worldscientific.com/doi/abs/10.1142/S0218213021400169
• Manogaran, G., Balasubramanian, V., S. Rawal, B., Saravanan, V., Montenegro-Marin, C., Ramachandran, V., Malarvizhi Kumar, P. (2021). Multi-Variate Data Fusion Technique for Reducing Sensor Errors in Intelligent Transportation Systems. IEEE Sensors. https://ieeexplore.ieee.org/abstract/document/9169903
• Gandhi, U., Malarvizhi Kumar, P., Chandra Babu , G., Karthick, G. (2021). Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM). Wireless Personal Communications.
• Son, L., Ngan, R., Ali, M., Fujita, H., Abdel-Basset, M., Long Giang, N., Malarvizhi Kumar, P. (2020). A New Representation of Intuitionistic Fuzzy Systems and Their Applications in Critical Decision Making. IEEE Intelligent Systems. https://ieeexplore.ieee.org/abstract/document/8821387
• Bi, D., Kadry, S., Malarvizhi Kumar, P. (2020). Internet of things assisted public security management platform for urban transportation using hybridised cryptographic-integrated steganography. IET Intelligent Transport Systems. https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/iet-its.2019.0833
• Selvaraj, A., Selvaraj, J., Maruthaiappan, S., Chandra Babu, G., Malarvizhi Kumar, P. (2020). L1 norm based pedestrian detection using video analytics technique. Computational Intelligence. https://onlinelibrary.wiley.com/doi/abs/10.1111/coin.12292
• Jegadeesan , S., Azees, M., Malarvizhi Kumar, P., Manogaran, G., Chilamkurti, N., Varatharajan , R., Hsu, C. (2019). An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications. Sustainable Cities and Society. https://www.sciencedirect.com/science/article/abs/pii/S2210670718301720
• Manogaran, G., Varatharajan, R., Lopez, D., Malarvizhi Kumar, P., Sundarasekar, R., Thota, C. (2018). A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system. Future Generation Computer Systems. https://www.sciencedirect.com/science/article/abs/pii/S0167739X17305149
• Malarvizhi Kumar, P., Gandhi, U. (2018). A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases. Computers & Electrical Engineering. https://www.sciencedirect.com/science/article/abs/pii/S0045790617328410
• Varatharajan, R., Vasanth, K., Gunasekaran, M., Malarvizhi Kumar, P., Gao, X. (2018). An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images. Computers & Electrical Engineering. https://www.sciencedirect.com/science/article/abs/pii/S0045790617315409
• Malarvizhi Kumar, P., G, U., Manogaran, G., Sundarasekar, R., Chilamkurti, N., Varatharajan, R. (2018). Ant colony optimization algorithm with Internet of Vehicles for intelligent traffic control system. Computer Networks. https://www.sciencedirect.com/science/article/abs/pii/S1389128618304845
• Malarvizhi Kumar, P., Lokesh, S., Varatharajan, R., Chandra Babu, G., Parthasarathy, P. (2018). Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier. Future Generation Computer Systems. https://www.sciencedirect.com/science/article/abs/pii/S0167739X18303753
• Gandhi, U., Malarvizhi Kumar, P., Varatharajan, R., Manogaran, G., Sundarasekar, R., Kadu, S. (2018). HIoTPOT: Surveillance on IoT Devices against Recent Threats. Wireless Personal Communications. https://link.springer.com/article/10.1007/s11277-018-5307-3
• Sundarasekar, R., Thanjaivadivel, M., Manogaran, G., Malarvizhi Kumar, P., Varatharajan, R., Chilamkurti, N., Hsu, C. (2018). Internet of Things with Maximal Overlap Discrete Wavelet Transform for Remote Health Monitoring of Abnormal ECG Signals. Journal of Medical Systems. https://link.springer.com/article/10.1007/s10916-018-1093-4
• Varatharajan, R., Peace Preethi, A., Manogaran, G., Malarvizhi Kumar, P., Sundarasekar, R. (2018). Stealthy attack detection in multi-channel multi-radio wireless networks. Multimedia Tools and Applications. https://link.springer.com/article/10.1007/s11042-018-5866-z
• Malarvizhi Kumar, P., Usha Devi, G. (2017). Energy efficient node selection algorithm based on node performance index and random waypoint mobility model in internet of vehicles. Journal of Cluster Computing. https://link.springer.com/article/10.1007/s10586-017-0998-x
• Malarvizhi Kumar, P., Gandhi , U. (2017). Enhanced DTLS with CoAP-based authentication scheme for the internet of things in healthcare application. Journal of Supercomputing. https://link.springer.com/article/10.1007/s11227-017-2169-5
• Manogaran, G., Vijayakumar, V., Varatharajan, R., Malarvizhi Kumar, P., Sundarasekar, R., Hsu, C. (2017). Machine Learning Based Big Data Processing Framework for Cancer Diagnosis Using Hidden Markov Model and GM Clustering. Wireless Personal Communications. https://link.springer.com/article/10.1007/s11277-017-5044-z
• Varatharajan, R., Manogaran, G., Malarvizhi Kumar, P., Balaş, V., Barna, C. (2017). Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis. Multimedia Tools and Applications. https://link.springer.com/article/10.1007/s11042-017-4768-9
• Varatharajan, R., Manogaran, G., Malarvizhi Kumar, P., Sundarasekar, R. (2017). Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm. Journal of Cluster Computing. https://link.springer.com/article/10.1007/s10586-017-0977-2

Contracts, Grants and Sponsored Research

Grant - Research

• Malarvizhi Kumar, P. (Principal), Xiao, T. (Co-Principal), Korani, W. (Co-Principal), "Cohort II of the Capacity Building for Research at Minority-Serving Institutions: Infrastructure Research Readiness," sponsored by NSF, Federal, $3000 Funded. (2023 - 2024).