Dr. R. SIVAKAMI , M.E (CSE)., Ph.D.,

Journal Publication

1. Kudithi T, Balajee J, Sivakami R, Mahesh TR, Mohan E, Guluwadi S. Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation. BMC Medical Informatics and Decision Making 2024 Jul 18;24(1):196. doi: 10.1186/s12911-024-02601-4. PMID: 39026270; PMCID: PMC11264507, ISSN:1472-6947.Impact Factor-3.5
2. S. T. Ahmed ,et al., "PrEGAN: Privacy Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification," in IEEE Transactions on Consumer Electronics, doi: 10.1109/TCE.2024.3386222, https://ieeexplore.ieee.org/document/10500428, Print ISSN: 0098-3063 Online ISSN: 1558-4127, publisher:IEEE. Impact factor 4.2
3. Senthil Murugan Nagarajan, M. Asha Jerlin, Ganesh Gopal Devarajan, R. Sivakami, "Efficiency Improvisation of Large-Scale Knowledge Systems in Feature Determination using Proposed HVGAN Architecture", Journal of Information and Knowledge Management, https://doi.org/10.1142/S0219649224500060, 2024, 2450006. Vol:23, No:02
4. Sannasi Chakravarthy, Bharanidharan Nagarajan, V. Vinoth Kumar, T. R. Mahesh, R. Sivakami,Jonnakuti Rajkumar Annand, "Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization", International Journal of Computational Intelligence Systems, Springer Nature, Vol 17, 18 (2024), https://doi.org/10.1007/s44196-024-00409-8, https://link.springer.com/article/10.1007/s44196-024-00409-8
5. V. Muthukumaran, R. Sivakami, V. K. Venkatesan, J. Balajee., T. R. Mahesh,E. Mohan, B. Swapna, Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies, International Journal of Computers Communications & Control, https://doi.org/10.15837/ijccc.2023.6.5890
6. Venkatarathinam, R., Sivakami, R., Christodoss, P. R., T R, M., Mohan, E., & Kumar V, V. (2023). Ensemble of Homogenous and Heterogeneous Classifiers using K-Fold Cross Validation with Reduced Entropy. International Journal on Recent and Innovation Trends in Computing and Communication, 11(8s), 315–324. https://doi.org/10.17762/ijritcc.v11i8s.7211, https://ijritcc.org/index.php/ijritcc/article/view/7211
7. Rajkumar, S., Sheeba, S.L., Sivakami, R., Prabu, S, “An IoT-Based Deep Learning Approach for Online Fault Detection Against Cyber-Attacks“, SN Computer Science, Springer, Vol 4 , Issue 4, Article number: 393 (2023), https://doi.org/10.1007/s42979-023-01808-y
8. M. T. R., V. Kumar V., R. Sivakami Et al. “Early Predictive Model for Detection of Plant Leaf Diseases Using MobileNetV2 Architecture”, International Journal of Intelligent Systems and Applications in Engineering, vol. 11, no. 2, pp. 46–54, Feb. 2023, ISSN:2147-6799., Impact Factor:1.8
9. Amirthalakshmi T.M, Sivakami R Et al., “Quality of Service Management for Fast Data Transmission in Industrial Mobile Communications Using PSO-Based Computer Vision Technique”, Wireless Communications and Mobile Computing, vol. 2023, Article ID 7883120, 9 pages, 2023. https://doi.org/10.1155/2023/7883120
10. D J Saini, R. Sivakami Et al., Convolution neural network model for predicting various lesion-based diseases in diabetic macula edema in optical coherence tomography images, Biomedical Signal Processing and Control, Volume 86, Part B, 2023, 105180, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2023.105180, https://www.sciencedirect.com/science/article/pii/S1746809423006134
11. Sivakami, R., Uday Kiran, G., Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System in Journal of System and Management Sciences, 2022, 12(4), pp. 398–412
12. Sivakami R. K.M Karthick Raghunath, Manjula Sanjay Koti, et. al., “Utilization of IoT Assisted Computational Strategies in Wireless Sensor Networks for Smart Infrastructure Management”, International Journal of System Assurance Engineering and Management, Springer, https://doi.org/10.1007/s13198-021-01585-y, published online January 2022 - sci
13. P.Sathyanarayana, T.Mahalakshmi, R.Sivakami, “A new algorithm for detection of nodes failures and enhancement of network coverage and energy usage in wireless sensor networks” Elsevier: Materials Today: Proceedings, Available online June 2021, https://doi.org/10.1016/j.matpr.2021.05.355
14. Chaudhary, Bijay and Sivakami, R and Sathiyabhama, B and Raghava, S.Chiranjith, Intelligent Lender – Prediction of Loan Applicant Credibility Based on the Machine Learning Model (February 2, 2023). Elsevier - Proceedings of the International Conference on Innovative Computing & Communication (ICICC) 2022, Available at SSRN: https://ssrn.com/abstract=4346132 or http://dx.doi.org/10.2139/ssrn.4346132
15. Sivakami.R, Kannadasan .B And Bhasker Pant, ”Analyze and Deliver Reactor Safety Healthcare Policies for Various Automotive IoT-Enabled Devices”, International Journal of Biology Pharmacy and Allied Sciences, ISSN-2277-4998, November 2021, Pg.no-1425 - 1436
16. R. Sivakami, V.Priyankaselvi, S.Chiranjith Raghava, “Smart lock with Safe Delegation System” - Annals of R.S.C.B., ISSN:1583-6258, Vol. 25, Issue 5, 2021, Pages. 1647 – 1656
17. R.Sivakami, S. Chiranjith Raghava, Venkatesh R, “Strong Security Scheme for Single Node and Colluding Nodes Byzantine Attacks in MANETS”, Annals of R.S.C.B., ISSN:1583-6258, Vol. 25, Issue 5, 2021, Pages. 1657 - 1666
18. R.Sivakami, Dr.S.Angel Latha Mary, S.Gowdhamkumar, “Fuzzy Based Mean Filtering Techniques Using NLM Algorithm”, Annals of R.S.C.B., ISSN:1583-6258, Vol. 25, Issue 6, 2021, Pages. 1786 - 1792
19. R.Sivakami, V. Priyankaselvi, “Strong Authentication using Encrypted Negative Password”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-9, Issue-6, April 2020
20. Dr.R.Sivakami, Jeyapriya J, Nithiya Ragini J, Madhumitha U, Meena Rani D, “Smart Pervasive Alert System for Physically Challenged and Elderly People”, International Journal of Advanced Science and Technology, Vol. 29, No. 6, (2020), pp. 4571 – 4577. ISSN: 2005-4238 IJAST
21. Sivakami R, Priyadharshini M.K, Janani M, Sooty Mould Mango Disease Identification Using Deep Learning, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume -8, Issue-5S, pp: 402 - 405., March 2019
22. V.Vishnudharsan, R.Sowdeswari, S.Shrivarshini, Dr.R.Sivakami, Preventing Food Adulteration Using Block chain, Suraj Punj Journal For Multidisciplinary Research (SPJMR), DOI: 16.10089.SPJMR.2018
23. Priyadharshini M.K, Dr.R.Sivakami, V.Vinothini, Convolutional Neural Network Aided Mango Plant Disease Detection, Suraj Punj Journal for Multidisciplinary Research, ISSNNO:2394-2886, 2018
24. Santhosh Kumar, V. and Sivakami, R, Location Aware Communicable Disease Spread Prediction Model (November 15, 2017), Elsevier SSRN Journal of Information Systems & Ebusiness Network ISSN: 1556-5068, pp.386-400
25. Vinothaa N, Sakthivel S and Sivakami R, International Journal of Printing, Packaging & Allied Sciences, Vol 4, No.3, Dec 2016, Fetal Growth Analysis using Lung Image Segmentation. ISSN: 2320-4387
26. Sivakami, R & Kadhar Nawaz, GM 2015, ‘A Radical Block to Byzantine Attacks in Mobile Ad Hoc Networks’, Springer Wireless Personal Communication, vol.84, no.4, pp. 01-13, ISSN: 0929-6212
27. Sivakami, R & Kadhar Nawaz, GM 2015, ‘Defending Against Security Breaches of Byzantine Attacks in MANETs’, ARPN Journal of Engineering and Applied Sciences, vol.10, no.8, pp.3667-3672. ISSN:1819-6608
28. Sivakami, R & Kadhar Nawaz, GM 2015, ‘Adaptive IDA to protect Message Transmission against Byzantine Attacks’, International Journal of Applied Engineering Research, vol.10, no.5, pp. 4084-4088. ISSN-0973-4562
29. Balasubramani P, Sivakami R, Uma Maheswari N, Venkatesh R, March 2014, ‘Performance of a Secure Selective Jamming System in Wireless Sensor Networks’, International Journal of Advanced Research in Computer Science and Software Engineering, Vol.4, no.3, pp.854-857
30. Sivakami, R & Kadhar Nawaz, G M, January 2013 ‘Quality Enhancement of Agricultural Industry using MANETs’, CiiT International Journal of Wireless Communications, Vol.5 No.1, ISSN 0974–9640
31. Jicksy Susan Jose, Sivakami R, Uma Maheswari N, Venkatesh R, 2012, ‘An Efficient Diagnosis of Kidney Images using Association Rules’, International Journal Computer Technology and Electronics Engineering, Vol.2, no.2, ISSN-2249-6343
32. Sivakami, R & Kadhar Nawaz, G M, May 2011, ‘Secured Communication of MANETS in Military’, International Conference on Computer, Communication and Electrical Technology (Published in IEEE Xplore), pp.146-151
33. Sivakami, R & Kadhar Nawaz, GM, July 2011, ‘Reliable Communication for MANETS in Military through Identification and Removal of Byzantine Faults’, International Conference on Network and Computer Science, Kanyakumari, April 8-10 (Published in IEEE Xplore), pp.377-381

International Conferences

1. Dr.R.Sivakami, Surya Ganapathy S, “Network Security Threat Prevention in STEP based File Transfer System”, in International Conference on Green Computing for Communication Technologies, held on 6th & 7th March 2024 at Sona College of Technology.
2. Dr. R..Sivakami, Tharun P V, Sundar A, Yagavi , “AR Assitive Autonomous Bot for Immersive Hands Free Experience”, in International Conference on Green Computing for Communication Technologies, held on 6th & 7th March 2024 at Sona College of Technology.
3. Bijay Kumar Chaudhary, Dr R. Shivakami, Dr B. Sathiyabhama, Chiranjith Raghava, Intelligent Lender – Prediction of Loan Applicant Credibility Based on The Machine Learning Model in the 6th International Conference on Innovative Computing and Communication (ICICC-2023), organized by Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi, India in association with National Institute of Technology Patna, India and the University of Valladolid, Spain on 17th-18th February 2023.
4. Soundarya, Sivakami R, “Blockchain based VISA and Passport verification System”, in the ISTE sponsored 9th International Conference on Latest Trends in Science, Engineering, and Technology (ICLTSET’23) organized by Karpagam Institute of Technology, Coimbatore held on May 5-6 2023.
5. Sivakami R, Surya Ganapathy, Suganya M, “Mouse Cursor Control with Eye Movement for Physically Challenged”, International Conference on High Performance and Intelligent Computing -ICHPIC-2022, December 7th to 9th at PSG College of Technology.
6. Dr. R. Sivakami, Sandip Kushwaha, Aaditya Gupta, Roshan Shilpakar, “Smart Health Prediction System Using Machine Learning”, TNSCST Sponsored 8th International Conference on Latest Trends in Science, Engineering and Technology (ICLTSET'22) organized by Karpagam Institute of Technology, Coimbatore on May 20-21, 2022.
7. Dr.R.Sivakami R, Dr.T.Sathiya, Akilesh S, Chiranjith Raghava S, Gokul Raj K, “Fuzzy Multi-Criteria Decision-Making Markov Method Reliability and High Availability in Cloud”, International Conference on Agriculture, Healthcare and Green Computing perspectives of Communication Technologies – ICAHGCT, Sona College of Technology, May 2022.
8. Dr. R. Sivakami, Kiruthika P, Pradeesh Kumar L, Mukeesh K, “Monitoring Students Attentiveness for Effective Learning Using ML and Image Processing”, International Conference on Science, Technology, Engineering and Mathematics (ICSTEM-22), June 2022, Karpagam College, Coimbatore.
9. Dr.R.Sivakami, Chiranjith Raghava S, Harshvardhan S.M, Harish S, “Contactless Elevator Panel Using IOT and Deep Learning”, in the Two Days International Conference on Artificial Intelligence and Quantum Computing -ICAIQC 2021 on December 29 & 30 organized by Srinivasa University, Mangaluru.
10. Sivakami R, Chiranjith Raghava S, Strong Security Scheme for Single Node and Colluding Nodes Byzantine Attacks in MANETS, International Virtual Conference on Applied Science, Technology, Management and Language Studies (ASTMLS 2020), 11th and 12th December 2020.
11. Sivakami R, Priyankaselvi, Chiranjith Raghava S, “Smart Lock with Safe Delegation System”, at International Conference on Signals, Communication and Embedded Systems 2020 (ICSCES 2020), part of Global Technology Forum 2020 organized by ICT Academy from 14-18 Oct 2020.
12. Sivakami R, Priyadharshini M.K, Janani M, “Sooty Mould Mango Disease Identification Using Deep Learning”, 13th International Conference on Intelligent Systems and Control - ISCO 2k19, January 2019.
13. Sivakami R, Santhoshkumar V, “Location Aware Communicable Disease Spread Prediction Model”, International Conference on Computing Systems - ICICS 2017.
14. Sivakami R, Kadhar Nawaz GM, “Defending Against Security Breaches of Byzantine Attacks in MANETs”, DRDO Sponsored 2nd IEEE International Conference on Innovations in Information, Embedded and Communication Systems, Karpagam College of Engineering, March 19-20, 2015.
15. Sivakami R, Kadhar Nawaz GM, “Adaptive IDA to Protect Message Transmission against Byzantine Attacks”, International Conference on Advancement in Computing, Power and Control, Christian College of Engineering and Technology, February 24-26, 2015.
16. Sivakami R, Kadhar Nawaz GM, “Ad Hoc Networks in Agricultural Development”, International Conference on Innovative Computing and Information Processing, Mahendra Engineering College, March 29-31, 2012.
17. Sivakami R, Kadhar Nawaz GM, “Secured Communication of MANETS in Military”, International Conference on Computer, Communication and Electrical Technology (Published in IEEE Xplore), 2011, pp.146-151.
18. Sivakami R, Kadhar Nawaz GM, “Reliable Communication for MANETS in Military through Identification and Removal of Byzantine Faults”, International Conference on Network and Computer Science, Kanyakumari, April 8-10, 2011 (Published in IEEE Xplore), pp.377-378.

National Conferences

1. Sivakami, R, 2008, “Security Enhancement of Mobile Ad hoc Networks Through Identification and Removal of Byzantine Failures”, Threads, Sona College of Technology & CSI Salem Chapter, 02 Feb 2008.
2. Sivakami, R, 2008, “Secured Multipath Transmission In MANET”, National Conference on IT For Industrial Research, Sona College of Technology & CSI Salem Chapter, 8 Mar 2008.
3. Sivakami, R, 2008, “Reliable Message Transmission of MANET”, Challenges and Innovations in Information Technology, Kongu Engineering College, 16 Feb 2008.
4. Archana K.T, Sivakami R, and Sakthivel S, 2017, “Smart Phone Assisted Point-Of-Care Diagnosis of Sickle Cell Disease”, NAC-CISS’17, Sona College of Technology, April 2017.
5. Beatrix Jovita, Sivakami R, and Sakthivel S, 2017, “Point-of-Care Diagnosis of Dengue”, NAC-CISS’17, Sona College of Technology, April 2017.
6. Brindha A, Sivakami R, and Sakthivel S, 2017, “Early Detection of Malaria and Preventive Measures from Further Spread Using Pervasive Computing”, NAC-CISS’17, Sona College of Technology, April 2017.
7. Leakasri K.R, Sivakami R, and Sakthivel S, 2017, “Edge Analytics in Data Science for Image Processing of Patient Data”, NAC-CISS’17, Sona College of Technology, April 2017.
8. Thenmozhi R, Sivakami R, and Sakthivel S, 2017, “Automated Health Monitoring System of Hepatitis for Mentally Disabled People”, NAC-CISS’17, Sona College of Technology, April 2017.
9. Sivakami R, Priyadharshini M.K, Vinothini V., “Convolutional Neural Network Aided Mango Plant Disease Detection”, Seventh National Conference on Computational Intelligence, Security and Systems NAC-CISS’19, March 2019.
10. Sivakami R, V. Vishnudharsan, R. Sowdeswari, S. Shrivarshini, “Preventing Food Adulteration Using Blockchain”, Seventh National Conference on Computational Intelligence, Security and Systems NAC-CISS’19, March 2019.
11. Convolutional Neural Network Aided Mango Plant Disease Detection, Seventh National Conference on Computational Intelligence, Security and Systems NAC‑CISS’19, Sona College of Technology, Salem, 09‑Jan‑2019.
12. Sivakami R, Gokul S, Dheepa K, Deepika C, “Recommendation System for Multimodal Emotion Detection”, National Conference on Computational Intelligence, Security and Systems NACCISS’23, Sona College of Technology, 18.04.2023.
13. Dr. Sivakami R, Raja Vignesh Perumal R, K. Pavinesh R A, Sumesh S, “Remote Monitoring and Controlling Sea Vessels”, National Conference on Computational Intelligence, Security and Systems NACCISS’23, Sona College of Technology, 18.04.2023.

Research Projects

1. Principal Investigator of the collaborative project titled “, Improving User Experiences and comfort in Virtual Reality Applications with smart wearables”. It is a multi-institution research and commercialization effort to develop smart fabric-based wearables by technology services firm Vee Technologies, Sona Group and Toronto-based University Health Network (UHN) . Main objective is to employ smart wearable technologies to reliably prevent or significantly reduce cybersickness in younger and older VR users .Feeling of presence, or “being there” in the VR world is usually strongly desired in the design of VR applications, and presence has been shown to have positive effects on learning and treatment outcomes in VR Currently, there are no reliable methods to prevent or reduce cybersickness The main goal of this proposed research project is to fill this gap and to improve the well-being and comfort of younger and older VR users
2. FIST: Quantum Leap: A Unified Framework for Next-Generation Cryptography, Data Security, Machine Learning, and Artificial Intelligence", Quantum processors have a significant impact in taking the research and collaboration into next level. Incorporating quantum processors into helps to work in to the following major most demanding research areas like Quantum Computing, Quantum Cryptography, Quantum Simulation, Quantum Machine Learning, Quantum Sensing and Quantum networking. Research on quantum algorithms and developing techniques to harness the power of quantum parallelism for solving complex computational problems more efficiently , investigating quantum key distribution protocols for secure communication channels resistant to eavesdropping, based on the principles of quantum mechanics, simulating quantum systems that are challenging to study with classical computers, such as the behavior of molecules, materials, and complex physical systems, investigating quantum key distribution protocols for secure communication channels resistant to eavesdropping, based on the principles of quantum mechanics.
3. AR Assistive Autonomous Bot for Immersive Hands-Free Shopping – revolutionizes the shopping experience through the integration of cutting-edge technologies. Users will leverage AR technology through their mobile devices to gain comprehensive product insights. By scanning items with their devices, users can access detailed information such as product specifications, reviews, pricing, and availability in real-time. This AR-assisted product exploration enhances the shopping experience by empowering users to make informed purchasing decisions. The autonomous bot features advanced mobile tracking capabilities that enable seamless navigation through the shopping environment. Users can initiate the "Follow Me" mode, allowing the bot to autonomously track their movements throughout the store without the need for manual management. This hands-free navigation enhances convenience and accessibility for all shoppers, including those with mobility limitations. A robust billing system is integrated into the autonomous bot, allowing users to complete transactions directly through the cart.
4. IoT enabled Game Model: Game for all is the motive to develop this model. Children can play either individually or as a team to shoot the ball in the goal. Sensors are placed to identify the shoots and award the scores automatically. Leaderboard is displayed and boosting audios are played for each shoot to encourage the players. This game improves concentration and makes the children happier and healthier to lead their life successfully. This game can be played as a team to promote social skills and teamwork. Games are designed to promote the self confidence and self-esteem of the children with varying physical difficulties. They can play the game without the support of others and this game improves the Brain body coordination and enables fast recovery in autism, spinal cord injuries, and stroke affected children.
5. Consultancy: Fuel Cell Nano Particles Project: The 3D construction of the electron tomography image of the fuel cell and from Z slice to identify the nano particles, AIML and IoT based Project to track the container / vehicles and the content inside it automatically without manpower when they enter into the company using RFID and AIML.
6. Sustainable Solar-based Smart Irrigation Using IoT and Machine Learning for Precision Agriculture to Empower Small-scale, Marginal and Women Farmers, Solar Irrigation for Agricultural Resilience (SoLAR) Innovation Fund (IF) Grants, IWMI (International Water Management Institute)
7. An Ideal Design of Smart HKFAO Addressing Locomotor Difficulties of Elderly and Gait Challenging Persons, TIDE
8. Machine Learning and Internet of Things based Smart Water Management for rural area in Salem, DST.
9. IoT Based Low-Cost Point-of-Care Support System for Elderly and Differently abled People, TIDE
10. Mobile Assisted Low-Cost Point of Care support system for Malaria Eradication, DDP

Membership

ISTE, ISSE, ACCS, ISRD

Awards & Recognitions

1. Received many appreciation awards, proficiency in physics award, gold medalist and Anna University rank holder in M.E
2. Winners in Toycathon 2021 an inter-ministerial initiative by Ministry of Education’s Innovation Cell ,All India Council for Technical Education, Ministry of Women and Child Development, Ministry of Commerce and Industry, Ministry of MSME, Ministry of Textiles and Ministry of Information and Broadcasting. National Level Winner for the Game Model Designed using IoT for Toycathon 2021 held on May 24th to 26th at Greater Noida. Our game model focused on two themes - Toys for differently abled / Divyanga children and Boosting physical and mental fitness. Exhibited an innovative Product in Empower 2022, India’s Foremost Conference on Creating Assistive Technology Solutions in partnership with IITM Research Park at IITM Research Park from13th to 15th October 2022 and received immense response, excellent feedback, many invites for collaborations.
3. Designed and developed IoT based game model for Play factory, Bangalore.
4. Domain scholar in Data Science certified by Swayam-NPTEL and recognized as NPTEL discipline star and Motivated Learner
5. Awarded as Topper 1% with score 99 and Gold Medalist in the course Big Data Analytics, topper 1% with score 96 and Gold Medalist in the NPTEL course Programming in Java, Topper 1% with score 94 and Gold medalist in the course Introduction to IoT, Cloud and Edge ML, awarded as topper 5% with score 84 and silver medalist in the NPTEL course Introduction to Machine Learning by IIT Kharagpur, awarded as topper 2% with score 84 and silver medalist in the NPTEL course Data Science for Engineers by IIT Madras, awarded as Topper 5% with score 85 and silver medalist in the NPTEL course Python for Data Science, silver medalist in the Design Thinking .
6. Resource person for FDPs, STTPs, Workshops in Software Defined Networks, Machine Learning , Block Chain, Deep Learning , IoT and Programming.
7. Completed Python Programming course with 100% in University of Michigan, Coursera.
8. Mentor of Smart India Hackathon Finalist Teams
9. Received Best Women Achiever Award for the year 22-23 awarded by SCT