Journal Publications

• Shyam, K. P., Jagannathan, S., & Rajavel, M. (2013). A New Technique for Ranking Web Pages and AdWords. International Journal of Computer Applications, 82(12).
• Singh, A., Kumar, S., & Muralidhar, A. (2014). A Secure Multi-Tenant Model for SaaS System. International Journal of Computer Applications, 90(15).
• NanasahebKharde, D., Menon, A., & Kumar J, S. (2014, March). Achieving k-Anonymity Privacy Protection using Agents. In IJCA (Vol. 90, No. 15, pp. 25-30)
• Sharath Kumar, J. and Maheswari, N. (2015), ’A framework for security in data mining using intelligent agents’ ARPN Journal of Engineering and Applied Sciences 10(6), 2551–2560. [Scopus]
• Sharath Kumar J, Aditya Khobragade, Maheswari N., and Prabakaran, A. (2016), ’Privacy Preservation in Social Network Using K-Nearest Perturbation Technique’ International Journal of Computer Science and Information Security 14.8, 146.
• Sharath Kumar, Maheswari N., and Anitha Susan John. (2016), ’A Randomized Approach for Privacy Preservation’ The International Journal of Science and Technology 4(7), 69–74.
• Mattani, N., Sharath Kumar, J., Prabakaran, A., and Maheswari, N. (2016), ’Privacy preservation in social network analysis using edge weight perturbation’ Indian Journal of Science and Technology 9 (37), https://doi.org/10.17485/ijst/2016/v9i37/93810. [Scopus]
• Sharath Kumar, J. and Maheswari, N. (2017), ’A Survey on Privacy Preserving Techniques for Social Network Data’ Asian Journal of Pharmaceutical and Clinical Research 10(13), 112. [Scopus]
• Sharath Kumar, J. and Maheswari, N. (2018), ’An Approach Towards Privacy Preservation of Sensitive Information in Social Networked Graphs’ Journal of Advanced Research in Dynamical and Control Systems 10 (10–Special Issue), 2363 – 2374. [Scopus]
• Sharath Kumar, J. and Maheswari, N. (2019), ’Privacy Preservation Analysis in Social Network Graphs for avoiding Community Detection and Publishing Sensitive Information’ International Journal of Innovative Technology and Exploring Engineering (IJITEE) 8(6), 888 – 893. [Scopus]
• Jagannathan, S. K. (2020). A Privacy Preservation Analysis On Edge Weighted Graphs Of Social Networks Using Laplace Noise Implementation. Journal of Critical Reviews, 7(15), 1862-1874. [Scopus]
• Ilakiyaselvan N, Sharath Kumar J, Sourabh Verma (2020) Fraudulent Reviews Detection Using Machine Learning Algorithm. Journal of Critical Reviews, 7 (15), 1635-1645. [Scopus]
• Machine learning based Management of Hybrid energy storage systems in E-vehicles Journal Name: Hindawi Journal – Impact Factor 3.791 https://www.hindawi.com/journals/jnm/2022/8270718/ Research Article | Open Access Volume 2022 | Article ID 8270718 | https://doi.org/10.1155/2022/8270718.
• Vaiyapuri, T., Jagannathan, S. K., Ahmed, M. A., Ramya, K. C., Joshi, G. P., Lee, S., & Lee, G. (2023). Sustainable Artificial Intelligence-Based Twitter Sentiment Analysis on COVID-19 Pandemic. Sustainability, 15(8), 6404. MDPI – https://www.mdpi.com/2071-1050/15/8/6404 . [Impact Factor: 3.889, Cite Score: 5.0]
• Rani, K. S.., Kumarasamy, M.., Pattanaik, B.., Jagannathan, S. K.., Pattnaik, M.., & Girimurugan, B.. (2023). Automating Daily Tasks in Manufacturing and Production Sites Via Machine Learning Intelligence. International Journal of Intelligent Systems and Applications in Engineering, 12(7s), 47–56. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4027.
• Bizel, G., Einstein, A., Jaunjare, A. G., & Jagannathan, S. K. (2024). Machine learning study: Identification of skin diseases for various skin types using image classification. Journal of Big Data and Artificial Intelligence, 2(1). https://doi.org/10.54116/jbdai.v2i1.32
• Issa, S., Bizel, G., Jagannathan, S.K., & Gollapal, S.S.C. (2024). A Comprehensive Approach to Bankruptcy Risk evalsuation in the Financial Industry. Journal of Risk and Financial Management. Manuscript ID: jrfm-2769237. MDPI.
• Jagannathan, S. K., Raja, M., Vijaya, P., & Abraham, R. (2024, August). CacheBoost: Harnessing Machine Learning for Peak Cache Performance. In 2nd International Conference on Innovation in Information Technology and Business (ICIITB 2024) (pp. 5-21). Atlantis Press.
• Jagannathan, S. K., Bizel, G., Gollapalli, S. S. C., & Iyengar, M. V. B. (2024). EXPLORING SOCIOECONOMIC GROWTH: A SIX-YEAR ANALYSIS OF FINANCIAL LITERACY RATIO AND THE MEDIAN INCOME. Impact of Government expenditure on poverty and inequality in Nigeria: A, 75.
• Maheswari Raja, P. Saranya, Sharath Kumar Jagannathan, Gulhan Bizel, 1 – Demand response analysis in microgrids with blockchain: A comprehensive cyber-physical approach, Editor(s): O.V. Gnana Swathika, K. Karthikeyan, Sanjeevikumar Padmanaban, Next-Generation Cyber-Physical Microgrid Systems, Elsevier, 2024, Pages 1-28, ISBN 9780443221873, https://doi.org/10.1016/B978-0-443-22187-3.00001-1.
• Jagannathan, S.K., Bizel, G., Voddi, V.K., Abraham, J.V.T. (2025). Analyzing the USA Housing Complaints to Score the County Problems. In: Mirzazadeh, A., Molamohamadi, Z., Babaee Tirkolaee, E., Weber, GW., Leung, J. (eds) Optimization and Data Science in Industrial Engineering. ODSIE 2023. Communications in Computer and Information Science, vol 2205. Springer, Cham. https://doi.org/10.1007/978-3-031-81458-7_3
• Jagannathan, S.K., Bizel, G. (2025). Temporal Emotional and Thematic Progression (TETP): A Novel Analysis of Mental Health Discussions on Social Platforms. In: Mirzazadeh, A., Molamohamadi, Z., Babaee Tirkolaee, E., Weber, GW., Leung, J. (eds) Optimization and Data Science in Industrial Engineering. ODSIE 2023. Communications in Computer and Information Science, vol 2204. Springer, Cham. https://doi.org/10.1007/978-3-031-81455-6_19

PRESENTATIONS AND CONFERENCE PUBLICATIONS

CONFERENCE PUBLICATIONS

• Jagannathan, S., Samraj, A., & Rajavel, M. (2012). Potential fishing zone estimation by rough cluster predictions. Presented at the 2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation (pp. 82-87). (IEEE).
• Jagannathan, S. K., Bizel, G., Abraham J. V., T., Kannan, G., Sankaradass, V., & Navulla, D. (2023). A Smart Innovation of Business Intelligence Based Analytical Model by Using POS Based Deep Learning Model. In 2023 International Conference on Disruptive Technologies(ICDT)(pp.63-67).IEEE https://doi.org/10.1109/ICDT57929.2023.10151080
• Patil, A. Sungheetha, B. G. S, P. T. Kalaivaani, V. Anand Kandaswamy and S. K. Jagannathan, “Design and Behavioral Analysis of Students during Examinations using Distributed Machine Learning,” 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India, 2023, pp. 1-6, doi: 10.1109/RMKMATE 59243.2023.10369281. [Online]: https://ieeexplore.ieee.org/document/10369281.
• C, S. K. Jagannathan, J. N, R. Singh, Y. Tomar and B. Jaison, “Enhancing Business Intelligence Through A Semi-Distributed Blockchain Framework for Predictive Analytics On Sales Growth,” 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India, 2024, pp. 1303-1308, doi: 10.1109/ICDT61202.2024.10489706. https://ieeexplore.ieee.org/document/10489706
• K. Jagannathan, G. Bizel and M. V. B. Iyengar, “The Interplay of Median Income and Financial Literacy: A Deep Dive into Socio-Economic Implications and Predictive Modeling,” 2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC), Chennai, India, 2023, pp. 604-609, doi: 10.1109/ICRTAC59277.2023.10480785. https://ieeexplore.ieee.org/document/10480785
• K. Jagannathan, G. Bizel and H. Alpagu, “Predicting Bankruptcy of Companies in the Pharmacy and Technology Sectors Using Altman’s Z-score model,” 2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC), Chennai, India, 2023, pp. 610-616, doi: 10.1109/ICRTAC59277.2023.10480832. https://ieeexplore.ieee.org/document/10480832

BOOKS and BOOK CHAPTERS

• Book, 2023 – Abraham J. V., T., Jagannathan, S. K., Muralidhar, A., & Uddin, I. (2023). Artificial Intelligence – Origin, Trends and Applications. AG Publishing House. ISBN: 978-81-19025-54-1. Available at: Google Books and Amazon.in https://www.amazon.in/dp/8119025547?ref=myi_title_dp. This book explores the evolving role of AI in society, covering potential applications, recent advancements, challenges, and future prospects in the field. It serves as a multi-disciplinary platform for discussing real-world AI issues and their implemented solutions.
• Rajabhau, Kondhare Mugdha; Yathin, Ganachari Sai; Harsha Vardhan, T.; Maheswari, R.; Jagannathan, Sharath Kumar: ‘AI-powered virtual therapist: for enhanced human-machine interaction’ (Computing, 2023), ‘Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications’, Chap. 22, pp. 447-465, DOI: 10.1049/PBPC062E_ch22. IET Digital Library, https://digital-library.theiet.org/content/books/10.1049/pbpc062e_ch22.
• 2024 – Venkata Subbu, Pattabiraman; Jagannathan, Sharath Kumar; Govindarajan, Anusooya; Raja, Maheswari: ‘Explainable AI for stock price prediction in stock market’ (Computing, 2023), ‘Explainable Artificial Intelligence (XAI): Concepts, enabling tools, technologies and applications’, Chap. 18, pp. 347-366, DOI: 10.1049/PBPC062E_ch18. IET Digital Library, https://digital-library.theiet.org/content/books/10.1049/pbpc062e_ch18.
• 2024 – Elsevier – “Demand Response Analysis in Microgrids with Block Chain: A Comprehensive Cyber-Physical Approach” – Maheswari Raja, Sharath Kumar Jagannathan, Gulhan Bizel, Saranya Pandian. The book titled: “Next-Generation Cyber-Physical Microgrid Systems” – 1st edition, ISBN: 9780443221873, Published 26^th FEB 2024. https://www.sciencedirect.com/book/9780443221873/next-generation-cyber-physical-microgrid-systems#:~:text=About%20the%20book-,Description,distributed%20generation%20systems%20into%20microgrids.
• 2024 – PYTHON: DATA ANALYTICS AND VISUALIZATION (Paperback, Dr. Ilakiyaselvan N Dr. Thomas Abraham J V Dr. Muralidhar A Dr. Sharath Kumar Jagannathan). ISBN: 9789357623483.https://www.flipkart.com/python-data-analytics-visualization/p/itm29a7f281d311b?pid=9789357623483&lid=LSTBOK9789357623483ODAP9W&marketplace=FLIPKART&cmpid=content_book_8965229628_gmc.
• 2024-Varshini, V., Raja, M., & Jagannathan, S. K. (2024). Endometrial Cancer Detection Using Pipeline Biopsies Through Machine Learning Techniques. In U. Vignesh, M. M., & R. Doshi (Eds.), Bio-Inspired Optimization Techniques in Blockchain Systems (pp. 130-149). IGI Global. https://doi.org/10.4018/979-8-3693-1131-8.ch007
• 2024- Brabin, D. R., Muralidharan, J., Jagannathan, S. K., & Kalangi, R. R. (2024). AI-Enhanced Drug Discovery for Alzheimer’s. In U. Lilhore, A. Anand, A. Kumar, S. Yadav, & N. Vyas (Eds.), AI-Driven Alzheimer’s Disease Detection and Prediction (pp. 101-113). IGI Global. https://doi.org/10.4018/979-8-3693-3605-2.ch007
• Jagannathan, S.K., Bizel, G., Voddi, V.K., Abraham, J.V.T. (2025). Analyzing the USA Housing Complaints to Score the County Problems. In: Mirzazadeh, A., Molamohamadi, Z., Babaee Tirkolaee, E., Weber, GW., Leung, J. (eds) Optimization and Data Science in Industrial Engineering. ODSIE 2023. Communications in Computer and Information Science, vol 2205. Springer, Cham. https://doi.org/10.1007/978-3-031-81458-7_3
• Jagannathan, S.K., Bizel, G. (2025). Temporal Emotional and Thematic Progression (TETP): A Novel Analysis of Mental Health Discussions on Social Platforms. In: Mirzazadeh, A., Molamohamadi, Z., Babaee Tirkolaee, E., Weber, GW., Leung, J. (eds) Optimization and Data Science in Industrial Engineering. ODSIE 2023. Communications in Computer and Information Science, vol 2204. Springer, Cham. https://doi.org/10.1007/978-3-031-81455-6_19
• Sheeba Rani, S., Mohammed Yassen, M., Sadhasivam, S., & Jaganathan, S. K. (2025). Plate Tectonics Uncoiled: Deploying Advanced Algorithms for Earthquake Reading. In U. Vignesh, A. Rao, S. Raja, & P. Chitra (Eds.), Exploring the Micro World of Robotics Through Insect Robots (pp. 17-38). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-6150-4.ch002
• Varshini, V., Raja, M., & Jagannathan, S. K. (2024). Endometrial Cancer Detection Using Pipeline Biopsies Through Machine Learning Techniques. In U. Vignesh, M. M., & R. Doshi (Eds.), Bio-Inspired Optimization Techniques in Blockchain Systems (pp. 130-149). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-1131-8.ch007
• OER BOOK on Pressbooks – Data Visualizations (Saint Peters University)

PATENTS:

• 2022 – IoT-Based Automatic Steam Inhalation Machine for the Public (COVID ASIM), Application No.: 202141060899. Date: 14/01/2022, Field: Computer Science. Description: The invention relates to an “IoT-Based Automatic Steam Inhalation Machine for the Public,” designed to assist in public health measures during the COVID-19 pandemic. This innovative device automates the process of steam inhalation using IoT technology, making it accessible and easy to use for the general public. The applicants claim proprietary rights, asserting that the design is new and original. Applicants: Vellore Institute of Technology, Dr. Maheswari R, Dr. Sharath Kumar Jagannathan, Dr. Jason Elroy Martis.
• 2023 – Blood Sugar Testing Device Design, Application/Reference No.: 391772-001. Date: 02/08/2023, Class No: 24-01. Description: The design aims to improve the “Blood Sugar Testing Device”. The applicant claims proprietary rights, believing the design to be new and original. Applicants: G. Venkataramana Sagar, Dr. Mahesh Maurya, Dr. Sharath Kumar Jagannathan, Dr. Sannidhan M S, Dr. Jason Elroy Martis.
• 2024 – Artificial Intelligence-Based Computing Device for Trading and Managing Stock Market Portfolio, Application/Reference No.: 419686-001. Date: 11/06/2024, Class No: 14-00. Description: The design focuses on developing an “Artificial Intelligence-Based Computing Device for Trading and Managing Stock Market Portfolio.” The device integrates advanced AI algorithms and real-time data analytics to optimize trading strategies, enhance decision-making, and reduce financial risk. The applicants claim proprietary rights, asserting that the design is new and original. Applicants: Dr. Sangram Patil, Dr. Ch. Suresh Kumar, Dr. Aijaz Ahamed Sharief, Dr. Gulhan Bizel, Dr. Sharath Kumar Jagannathan.
• 2024 – Artificial Intelligence-Based Computing Device for Trading and Managing Stock Market Portfolio, Application/Reference No.: 419686-001. Date: 12/06/2024, Class No: 14-02. Description: The design focuses on an innovative “Artificial Intelligence-Based Computing Device for Trading and Managing Stock Market Portfolio.” This device leverages AI algorithms and real-time data analytics to optimize trading strategies and enhance decision-making, aiming to reduce financial risks. The applicants claim proprietary rights, asserting that the design is new and original. Applicants: Dr. Sangram Patil, Dr. Ch. Suresh Kumar, Dr. Aijaz Ahamed Sharief, Dr. Gulhan Bizel, and Dr. Sharath Kumar Jagannathan.
• 2025 – Shinde, V., Pooranavalli, Jagannathan, S. K., Shanmuga Sundaram, O. V., Akila Devi, S., Arul Shantrinal, A., Venugopal, R., Deepak, N. P., Pandima Devi, J., Prabha Sree, S., Mano Priya, V., & Stanley John, P. (2025). Graph theory-based recommendation engine using AI and natural language processing (Indian Patent Application No. 202521038640 A). The Patent Office Journal, 19, 43327. https://ipindia.gov.in

AWARDS

• Outstanding Thesis & Dissertation Award 2023 | 1st International Conference on Advanced Optimization Techniques and Applications (AOTA – 2023). Awarded for the thesis entitled “An Approach on Data Privacy Effecting Edge Modification in Social Network Graphs.” The conference was organized by Ramgarh Engineering College, in collaboration with Sultan Moulay Slimane University, Morocco, and City University, Malaysia.
• Research Excellence Award 2023 | 1st International Conference on Advanced Optimization Techniques and Applications (AOTA – 2023). Recognized for outstanding contributions in the field of Privacy Preservation and Data Mining.
• Research Excellence Award | VIT University, Chennai Campus. Honored for research publications during the years 2016, 2017, and 2019 at the School of Computing Science and Engineering.
• Avishkar Achievers Award 2023 | National Best Scientific Researcher of the Year. Awarded for his hard work, dedication, and diligence in the field of education and research. Certificate No: 196.
• 2023 Global Eminent Scientist Award | Presented by Vij Trust. Recognized for outstanding service in research.
• 2023 Best Paper award ICRATC2023 for paper ID 356 presented in VIT University held on December 14^th and 15^th

Magazine Awards and Recognitions

• Featured Personality in “Notable Personalities of India Edition”, Business Talkz Magazine, March 2024. Recognized for outstanding contributions to data science, demonstrating leadership and innovation in data science, and significantly impacting academic professionals. Link: https://www.linkedin.com/posts/cyber-kings-india_leading-professors-academicians-2024-magazine-activity-7176514063152132098-VuiQ?utm_source=share&utm_medium=member_androids
• Highlighted in “Magazine Professors & Academicians 09th Edition”, March 2024. Selected for exemplary achievements in academia and research, fostering advancements and excellence in Data Science. Link: https://www.linkedin.com/posts/cyber-kings-india_notable-personalities-of-india-edition-activity-7175798922370551808-Wogm?utm_source=share&utm_medium=member_androids

PRESENTATIONS

• Sharath Kumar Jagannathan (2013). Advanced androids OS Workshop. Workshop organized and presented at VIT University Chennai Campus, August 30-31, 2013.
• Sharath Kumar Jagannathan (2013). androids OS Workshop. Workshop organized and presented at VIT University Chennai Campus, August 30-31, 2013.
• Sharath Kumar Jagannathan (2013). JAVA VAP Class Lecture organized and presented at VIT University Chennai Campus, August 30-31, 2013.
• ICMCE 2017 International Conference on Mathematical Computer Engineering | Presented a paper titled “An Approach Towards Preservation Based on Edge Alteration Technique for Social Network Graphs” in Nov 2017. The conference was organized by the Mathematics Division, School of Advanced Sciences.
• Sharath Kumar Jagannathan (2017). Paper Presentation Committee and as a core member to judge and review the papers organized and presented at VIT University Chennai Campus.
• Sharath Kumar Jagannathan (2018). ICRTAC-CPS 2018 – International conference on recent trends in Advanced Computing Presentation Committee and as a core member to judge and review the papers organized and presented at VIT University Chennai Campus, SEP 10^th and 11^th
• Sharath Kumar Jagannathan (2017). Session Chair in SET- Technology Beyond 2020 as a core member to judge and review the papers organized and presented at VIT University Chennai Campus.
• Sharath Kumar Jagannathan (2020). CoCoNet ‘20 – Fourth International Conference on Computing and Network Communications as a session moderator to judge and review the papers organized and presented at VIT University Chennai Campus, OCT 14 to 17^th
• Sharath Kumar Jagannathan (2021) FDP in Machine Learning Techniques from 28 Jan to 10^th Feb 2021 as a resource Person and presented a lecture on Deep Learning Techniques for analysing Medical Image using Python – Open CV on 30^th Jan 2021
• Sharath Kumar (2021) – Raak College of Engineering and Technology, Puducherry -Invited guest lecturer for the Department of Computer Science and Engineering. Delivered a presentation on “Hands on: Zero Coding through Knime Data Analytics Tool” on June 8, 2021.
• Sharath Kumar Jagannathan (2021). ICITSD 2021 – First International Conference on Innovative Technology for Sustainable Development held during Jan 27-29^th 2021 as a session moderator to judge and review the papers organized and presented at VIT University Chennai Campus and University of Technology Sydney.
• Sharath Kumar J(2022), Data Science Institute, Frank J. Guarini School of Business, Saint Peter’s University, New Jersey led a workshop for the Department of Computer Science on “DATA WAR: Challenges & Solutions,” February 17, 2022, via Google Meet. Shared expert insights on data challenges and their resolutions.
• Jagannathan, S., et al. (2023). Bridging the wealth gap: addressing gender and racial disparities through targeted financial literacy initiatives. Poster presented at the 24th Academic Symposium at Saint Peter’s University.
• 10th Annual NJBDA Symposium, Seton Hall University, May 9, 2023, | Presented a topic and poster on “Analysing Demographic Data to Address Gender and Racial Wealth Disparities through Financial Literacy Initiatives.”
• Sharath Kumar (2023) presented a topic on Microsoft Azure Covering Intune and Databricks with a hands-on example on April 19^th, 2023, at the data science Institute.
• Sharath Kumar Jagannathan (2023) served as the Session Chair for the “International Conference on Recent Advances in Engineering and Computer Applications (ICRAECA 2023).” Organized by LJ School of Computer Applications, LJ University, Ahmedabad in collaboration with Institute for Engineering Research and Publication (IFERP). Conference took place on July 14th & 15th, 2023 in Ahmedabad, India, employing a hybrid format.
• Jagannathan, S.K., Bizel, G., Voddi, V., & Abraham, T.J. (2023). Analyzing the USA Housing Complaints to Score the County Problems. Paper presented at ODSIE 2023. Paper ID: 1143-ODSIE2023. Manuscript submitted for review.
• Jagannathan, S.K. & Bizel, G. (2023). Temporal Emotional and Thematic Progression (TETP): A Novel Analysis of Mental Health Discussions on Social Platforms. Paper Paper presented at ODSIE 2023. Paper ID: 1116-ODSIE2023.
• Jagannathan, S.K. (2024). The Interplay of Median Income and Financial Literacy: A Deep Dive into Socio-Economic Implications and Predictive Modelling. Paper presented at ICRTAC2023. Paper ID: 356.
• Jagannathan, S.K. (2024). Predicting Bankruptcy of Companies in the Pharmacy and Technology Sectors Using Altman’s Z-score Model. Paper presented at ICRTAC2023. Paper ID: 360.
• Sharath Kumar Jagannathan, Guest Speaker (2024) 12^th International Conference in Cognitive Computing – Disruptive technology. Presented a topic on cognitive computing in Biosescience on 3/18/2024. Organized by Sri Krishna Arts and Science College Coimbatore. Tamil Nadu.
• Sharath Kumar Jagannathan (2024), Presented two papers at 12^th International Conference in Cognitive Computing – Disruptive technology with 1. Optimizing flight schedules: advanced machine learning techniques for predicting airline delays and 2. A comprehensive data analysis for understanding gun violence in the United States published with ISBN 97881969021-0-0
• Pati, Y., Singh, A. R., Gurram, A., & Jagannathan, S. K. (2025, May). Health-centric navigation and air quality management for sensitive populations. Presented at the NJBDA Research Track Breakout Sessions, New Jersey Big Data Alliance (NJBDA) Annual Symposium. William Paterson University, NJ.

JOURNAL REVIEWER

• Reviewed a manuscript titled “Internet Users’ Information Behavior and Privacy Practices: Exploratory Research Review” for the journal Information Discovery and Delivery, Manuscript ID IDD-03-2021-0025.
• Reviewed a student project titled “Job Salary Prediction” for the project “Job Salary Prediction” authored by Tatsat Patel (Student ID: 17BCE1144) as part of the B.Tech. in Computer Science and Engineering (CSE4099) Capstone Project at VIT University.
• Reviewed a manuscript titled “A Delay Efficient Hybrid Parallel Prefix Variable Latency CSKA Based Multi-Operand Adder with Optimized 5:2 Compressor and Skip Logic” for the Journal of Circuits, Systems, and Computers, Manuscript ID WSPC-JCSC-D-21-00946.
• Reviewed a manuscript titled “Research on Federated Learning Data Sharing Scheme Based on Differential Privacy” for the journal CMC-Computers, Materials & Continua, Manuscript ID 34571.
• Reviewed a manuscript titled “Comparative Analysis of Execution of CNN based Sanguine Data Transmission with LSB-SS and PVD-SS” for the journal Computer Systems Science and Engineering, Manuscript ID 34270.
• Reviewed a manuscript titled “FT-EALU: Fault Tolerant Arithmetic and Logic Unit for Critical Embedded and Real-time Systems” for The Journal of Supercomputing, Manuscript ID SUPE-D-22-00120.
• Reviewed a book chapter manuscript titled “Current Trends, Challenges and Future Prospects for Augmented Reality and Virtual Reality” for the publication “Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality” via IGI Global Book Submission System, October 2022.
• Reviewed a manuscript titled “Congestion Avoidance in Intelligent Transport Networks based on WSN-IoT through Controlling Data Rate of Zigbee Protocol by Reinforcement Learning” for the journal CMC-Computers, Materials & Continua, Manuscript ID 38502, January 2023.
• Reviewed a manuscript titled “HYBRID CNN-LSTM FOR PREDICTING DIABETES: A REVIEW” for the journal CURRENT DIABETES REVIEWS, Manuscript ID BMS-CDR-2023-60, May 2023.
• Reviewed a manuscript titled “CTCN: A novel credit card fraud detection method based on CTGAN and TCN” for the journal PeerJ Computer Science.
• Reviewed a manuscript titled “Privacy Preserving Group Communication and Batch Verification Protocol for Vehicular Ad-hoc Networks” for the Journal of Interconnection Networks (JOIN), Manuscript Number: JOIN-D-21-00521
• Reviewed a manuscript titled “The Impact of Internet Privacy Concerns on Information Behavior and the Users Ability to Utilize Enhanced Privacy Controls.” for the journal Information Discovery and Delivery, Manuscript ID IDD-03-2021-0025.R1.
• Reviewed 9 manuscripts for ICRTAC 2023 using the CMT interface as a part of the IEEE conference held by VIT in December 2023.
• Reviewed a chapter titled “Real Time Twitter Spam Detection(2024): A Comparative Study of Machine Learning Classifying Models Utilizing Natural Language Processing Techniques” for the 2024 IGI Global Book Chapter. This involved evalsuating the chapter’s contribution to the fields of machine learning and natural language processing, with a focus on the application in detecting spam on Twitter.
• Reviewed a manuscript for Springer’s EquinOCS journal in 2024, focusing on advanced computational sciences. The review emphasized the manuscript’s scientific rigor, relevance to the field, and the novelty of the research presented.