Vani Rajasekar 

Profile: 1. Google Scholar 

2. Scopus 

3. IRINS 

Contact Details:

Email: vanikecit.cse@kongu.edu

Mobile: 9659902769

Anna University Supervisor Recognition No: 4140020

International Journals:

1. Rajasekar, V., Vaishnnave, M. P., Premkumar, S., Sarveshwaran, V., & Rangaraaj, V. (2023). Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques. Results in Engineering, 18, 101111. Impact Factor: 0.59 (Scopus).

2. Rajasekar, V., Saracevic, M., Hassaballah, M., Karabasevic, D., Stanujkic, D., Zajmovic, M., ... & Jayapaul, P. (2023). Efficient Multimodal Biometric Recognition for Secure Authentication Based on Deep Learning Approach. INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 32(03), 2340017. Impact Factor: 1.05 (SCI).

3. Subramanian, M., Rajasekar, V., VE, S., Shanmugavadivel, K., & Nandhini, P. S. (2022). Effectiveness of Decentralized Federated Learning Algorithms in Healthcare: A Case Study on Cancer Classification. Electronics, 11(24), 4117. Impact Factor: 2.9 (SCI).

4. Rajasekar, V., Saračević, M., Karabašević, D., Stanujkić, D., Dobardžić, E., & Krishnamoorthi, S. (2022). Efficient Cancelable Template Generation Based on Signcryption and Bio Hash Function. Axioms, 11(12), 684 Impact Factor: 1.82 (SCI).

5. Rajasekar, V., Krishnamoorthi, S. ., Saračević, M., Pepic, D., Zajmovic, M., & Zogic, H. (2022). Ensemble Machine Learning Methods to Predict the Balancing of Ayurvedic Constituents in the Human Body : Ensemble Machine Learning Methods to Predict . Computer Science, 23(1). https://doi.org/10.7494/csci.2022.23.1.4315. Impact Factor: 0.81 (Scopus).

6. Sathya K, Premalatha J, Vani Rajasekar, Rajesh Kumar Dhanaraj, Celestine Iwendi, "A futuristic approach to generate random bit sequence using dynamic perturbed chaotic system", Turkish Journal Of Electrical Engineering & Computer Sciences, Vol.30, no.1, pp: 35-49, 2022. Impact Factor: 0.806 (SCI).

7. Rajasekar, Vani, Bratislav Predić, Muzafer Saracevic, Mohamed Elhoseny, Darjan Karabasevic, Dragisa Stanujkic, and Premalatha Jayapaul. "Enhanced multimodal biometric recognition approach for smart cities based on an optimized fuzzy genetic algorithm." Scientific Reports 12, no. 1 (2022): 1-11. Impact Factor: 4.379 (SCI).

8. V. S et al., "An Efficient Lightweight Privacy Preserving Mechanism for Industry 4.0 Based on Elliptic Curve Cryptography," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3139609. Impact Factor:10.215 (SCI).

9. Krishnamoorthi, Sathya, Premalatha Jayapaul, and Vani Rajasekar. "A modernistic approach for chaotic based pseudo random number generator secured with gene dominance." Sādhanā 46, no. 1 (2021): 1-12. Impact Factor: 0.769 (SCI).

10. Rajasekar, Vani, K. Venu, Soumya Ranjan Jena, R. Janani Varthini, and S. Ishwarya. "Detection of Cotton Plant Diseases Using Deep Transfer Learning." Journal of Mobile Multimedia (2021): 307-324. Impact Factor: 1.11 (Scopus).

11. V. S, R. Manoharn, S. Ramachandran and V. R. Rajasekar, "Blockchain Based Privacy Preserving Framework for Emerging 6G Wireless Communications," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2021.3107556. Impact Factor: 10.215 (SCI).

12. Rajasekar, Vani, Premalatha Jayapaul, Sathya Krishnamoorthi, Muzafer Saracevic, Mohamed Elhoseny, and Marwan Al-Akaidi. Enhanced WSN Routing Protocol for Internet of Things to Process Multimedia Big Data, Wireless personal communications, 2021 doi:10.21203/rs.3.rs-368957/v1. Impact Factor: 1.2 (SCI).

13. Krishnamoorthi, Sathya, Premalatha Jayapaul, Rajesh Kumar Dhanaraj, Vani Rajasekar, Balamurugan Balusamy, and SK Hafizul Islam. "Design of pseudo-random number generator from turbulence padded chaotic map." Nonlinear Dynamics vol.104, no. 2 (2021): 1627-1643. Impact Factor: 5.022 (SCI).

14. Rajasekar, Vani, J. Premalatha, and K. Sathya. "Cancelable Iris template for secure authentication based on random projection and double random phase encoding." Peer-to-Peer Networking and Applications, 14, no. 2 (2021): 747-762. Impact Factor: 3.044 (SCI).

15. Rajasekar, Vani, J. Premalatha, K. Sathya, and Muzafer Saračević. "Secure remote user authentication scheme on health care, IoT and cloud applications: a multilayer systematic survey." Acta Polytechnica Hungarica 18, no. 3 (2021): 87-106.Impact Factor: 2.81 (SCI).

16. Rajasekar, V., Premalatha, J., & Sathya, K. (2020).Enhanced Biometric Recognition for SecureAuthentication Using Iris Preprocessing andHyperelliptic Curve Cryptography. Wireless Communications and Mobile Computing, 2020. Impact Factor: 2.366 (SCI).

17. Rajasekar, Vani, J. Premalatha, and K. Sathya. "Multi-factor signcryption scheme for secure authentication using hyper elliptic curve cryptography and bio-hash function." Bulletin of the Polish Academy of Sciences: Technical Sciences (2020): 923-935. Impact Factor: 1.662 (SCI).

18. K.Sathya, Premalatha J and Vani Rajasekar, "Twining Technique to Minimize Collinearity in Cryptographically Secure Pseudorandom Number Generator", International Journal of Scientific And Technology Research, Vol.8 Issue-2, pp.3064-3068, 2020. ISSN:2277-8616. Impact Factor: 0.43 (Scopus).

19. K.Sathya, Premalatha J and Vani Rajasekar, "Sensor-seeded cryptographically secure random number generation", International Journal of Recent Technology and Engineering, Vol.8 Issue-3, pp.1854-1867, 2019. ISSN:2277-3878. Impact Factor: 0.107 (Scopus).

20. Vani Rajasekar, J.Premalatha, K.Sathya, "A Block chain based framework to enhance security against security attacks", International Journal of Recent Technology and Engineering, ISSN: 2277-3878,Vol.8, Issue:4, pp:7485-7488,2019. Impact Factor: 0.107 (Scopus).

21. Vani Rajasekar, J.Premalatha, K.Sathya, "An Efficient Signcryption Scheme for Secure Authentication using Hyper Elliptic Curve Cryptography and Keccak Hashing", International Journal of Recent Technology and Engineering, ISSN: 2277-3878,Vol.8, Issue:3, pp:1593-1598,2019. Impact Factor: 0.107 (Scopus).

22. J Premalatha, Rajasekar Vani, K Sathya, "Biometric Signcryption using Hyperelliptic Curve and Cryptographically Secure Random Number",Asian Journal of Research in Social Sciences and Humanities, Vol.6, pp:462-472,2016. Impact Factor: 0.676 (Scopus).

23.  K Sathya, J Premalatha, Vani Rajasekar, "Sensor-Seeded Cryptographically Secure Random Number Generation", Indian Journal of Science, ISSN:2319-7730,Vol.3, pp:157-163,2016. Impact Factor: 0.252 (Scopus).

24.  Premalatha J, Sathya K, and Vani Rajasekar, "Hyperelliptic Based Signcryption with Sensor-Seeded Random Number", International journal of computers and communications, Vol.10, ISSN: 2074-1294,pp:18-22,2016. Impact Factor: 2.79 (Scopus).

25. Premalatha J, Sathya K, and Vani Rajasekar,"Secure Signcryption on Hyper Elliptic Curve with Sensor-Based Random Number", Journal of Recent Advances on Computer Engineering, ISBN: 978-1-61804-336-8,pp:95-98,  Impact Factor: 0.76 (Scopus).

International Conferences:

1. V. Rajasekar, S. Varadhaganapathy, K. Sathya and J. Premalatha, "An efficient lightweight cryptographic scheme of signcryption based on hyperelliptic curve," 2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016, pp. 394-397, doi: 10.1109/RAIT.2016.7507934.

2. K. Sathya, V. Rajasekar and J. Premalatha, "Biometric signcryption using hyperelliptic curve and cryptographically secure random number," 2016 International Conference on Recent Trends in Information Technology (ICRTIT), 2016, pp. 1-7, doi: 10.1109/ICRTIT.2016.7569557.

3. Rajasekar, V., Sathya, K., & Premalatha, J. (2018, December). Energy efficient cluster formation in wireless sensor networks based on multi objective bat algorithm. In 2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW) (pp. 116-120). IEEE.

4. Rajasekar, V., Premalatha, J., Sathya, K., Raakul, S. D., & Saracevic, M. (2021, February). An Enhanced Antiphishing Scheme to Detect Phishing Website. In IOP Conference Series: Materials Science and Engineering (Vol. 1055, No. 1, p. 012077). IOP Publishing.

5. Sathya, K., Premalatha, J., & Rajasekar, V. (2021, February). Investigation of strength and security of pseudo random number generators. In IOP Conference Series: Materials Science and Engineering (Vol. 1055, No. 1, p. 012076). IOP Publishing.

6. Sathya, K., Premalatha, J., Rajasekar, V., Sathiyananthan, P., TharunPrasath, S., & Ragul, S. (2021, November). A cutting-edge approach to generate random bit sequence with confound chaotic maps. In AIP Conference Proceedings (Vol. 2387, No. 1, p. 140006). AIP Publishing LLC.

7. Sathya, K., Premalatha, J., Rajasekar, V., Kumar M, M., Deepak, M., & Manoj, S. R. (2021, November). Modified linear congruential generator to secure random number generation. In AIP Conference Proceedings (Vol.2387, No. 1, p. 140007). AIP Publishing LLC.

8. Rajasekar, V., Premalatha, J., Sathya, K., Varthini R, J., & Ishwarya, S. (2021, November). Design and development of digital e-library. In AIP Conference Proceedings (Vol. 2387, No. 1, p. 140005). AIP Publishing LLC.

9. Premalatha, J., Sathya, K., Rajasekar, V., Dharani, S. E., Harivarshini, S., & Keerthana, R. (2021, November). Scheduling task and offloading process based on KNN and NB algorithm on cloud. In AIP Conference Proceedings (Vol. 2387, No. 1, p. 140034). AIP Publishing LLC.

10. Premalatha, J., Sathya, K., Rajasekar, V., Nishanth, S., Kumar, S. R., & Praveena, M. (2021, November). Online food court payment processing using blockchain. In AIP Conference Proceedings (Vol. 2387, No. 1, p. 140033). AIP Publishing LLC.

11. K. Venu, P. Natesan, B. Krishnakumar, V. Rajasekar, N. Sasipriya and V. Swathi, "EEG Signal Classification for Motor Imagery Tasks," 2022 International Conference on Computer Communication and Informatics (ICCCI),2022, pp. 1-7, doi: 10.1109/ICCCI54379.2022.9740755.

12. V. Rajasekar, J. Premalatha, V. Rangaraaj, B. Rajaraman and A. O. S. Prakash, "Efficient Handwriting Character Recognition Based on Convolutional Neural Network," 2022 International Conference on Computer Communication and Informatics (ICCCI), 2022, pp. 1-5, doi: 10.1109/ICCCI54379.2022.9741072.

13. Kalaivani, K. S., Kanimozhiselvi, C. S., & Rajasekar, V. (2022, March). Enhancing the Performance of POS based Features using Generalization for Sentiment Classification. In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC) (pp. 785-790). IEEE. 

14. Anitha, C., Sivakumar, C., Rajasekar, V., & Velliangiri, S. (2022, March). Dynamic Tree Routing Protocol with Convex Hull Optimization for Optimal Routing Paths. In 2022 International Conference on Electronics and Renewable Systems (ICEARS) (pp. 729-733). IEEE. 

15. Rajasekar, V., Sarika, S., Velliangiri, S., & Kalaivani, K. S. (2022, April). An efficient intrusion detection model based on recurrent neural network. In 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) (pp. 1-6). IEEE. 

16. Devendran, K., Rajasekar, V., Sharma, V., Elngar, A. A., & KR, P. K. (2023, February). Rewarding Reviews with Tokens Using Smart Contracts. In 2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM) (pp. 1-5). IEEE. 

17. Sathya, K., Rajasekar, V., Dharanisri, P., Kavidharshini, I., & Srrenidhi, S. K. (2023, March). Smart Jacket for Monitoring the Health Conditions of Patients using IoT. In 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 1165-1170). IEEE. 

Book Chapters:

1. Premalatha, J., & Rajasekar, V. (2020). Industrial Internet of Things Safety and Security. In Internet of Things (pp. 135-152). CRC Press.

2. Rajasekar, V., Premalatha, J., & Saracevic, M. (2022). Cybersecurity in 5G and IoT Networks. In Secure Communication for 5G and IoT Networks (pp. 29-46). Springer, Cham.

3. Vani Rajasekar, J. Premalatha, Rajesh Kumar Dhanaraj, Security Anlaytics (pp.333-354), Elsevier

4. Rajasekar, V., Premalatha, J., Dhanaraj, R. K., & Geman, O. (2022). Introduction to Classical Cryptography. Quantum Blockchain: An Emerging Cryptographic Paradigm, 1-29, Wiley

5. Krishnamoorthi, S., Rajasekar, V., & Balusamy, B. (2023). Blockchain for energy transactions. In Blockchain-Based Systems for the Modern Energy Grid (pp. 51-69). Academic Press. 

6. Rajasekar, V., & Sathya, K. (2023). Blockchain utility in renewable energy. In Blockchain-Based Systems for the Modern Energy Grid (pp. 115-134). Academic Press. 

7. Rajasekar, V., Sathya, K., & Dhanaraj, R. K. (2023). Fault diagnosis in digital twin manufacturing. In Digital Twin for Smart Manufacturing (pp. 203-220). Academic Press. 

8. Kamalam, G. K., & Rajasekar, V. (2023). Digital twin meets artificial intelligence: AI-augmented industrial automation systems using intelligent digital twins. In Digital Twin for Smart Manufacturing (pp. 145-159). Academic Press. 

9. Rajasekar, V., Sathya, K., Velliangiri, S., & Karthikeyan, P. (2023). Blockchain-based Identity Management Systems in Digital Forensics. In Artificial Intelligence and Blockchain in Digital Forensics (pp. 241-259). River Publishers. 

10. Sathya, K., & Rajasekar, V. (2023). Case study: digital twin in cardiology. Digital Twin Technologies for Healthcare 4.0, 46, 187. Academic Press. 

11. Rajasekar, V., & Sathya, K. (2023). Healthcare cyberspace: medical cyber physical system in digital twin. Digital Twin Technologies for Healthcare 4.0, 46, 113. Academic Press. 

12. Rajasekar, V., Venu, K., Sharma, V., & Saracevic, M. (2023). Algorithmic Strategies for Solving Complex Problems in Financial Cryptography. In Homomorphic Encryption for Financial Cryptography: Recent Inventions and Challenges (pp. 207-219). Cham: Springer International Publishing 

Books Published:

1. Rajesh Kumar D,Soumya Jena,Ashok Kumar Yadav,Vani Rajasekar,"MASTERING DISRUPTIVE TECHNOLOGIES (APPLICATIONS OF CLOUD COMPUTING, IoT, BLOCKCHAIN, ARTIFICIAL INTELLIGENCE & MACHINE LEARNING TECHNIQUES)", 2021, HP HAMILTON LTD.

2. Dhanaraj, R. K., Rajasekar, V., Islam, S. K. H., Balusamy, B., & Hsu, C. H. (2022). Quantum Blockchain: An Emerging Cryptographic Paradigm. Wiley.

3. Sreedevi, M., Jena, S. R., & Rajasekar, V. (2022). Introduction to Quantum Computing & Machine Learning Technologies (Vol. 1). DRAFT2DIGITAL. 

4. Dhanaraj, R. K., Kamila, N. K., Pani, S. K., Balusamy, B., & Rajasekar, V. (Eds.). (2024). Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design. CRC Press. 

NPTEL Online Certification courses completed:

1. Block chain Architecture design and use cases

2. Python for Data-science

3. Data Analytics with Python

4. Design Thinking

5. Designing Learner-Centric E-Learning In Stem Disciplines

6. NITTR- 8 Modules

Non Formal Courses Conducted:

1. C Programming in placement Perspectives

2. Basics of C Programming

Credit Courses Conducted:

1. Git and GitHub for Version Control

2. Spring Boot

3. Azure Fundamentals

Subjects Handled:

1. Object oriented programming with C++:

• Inheritance

•  File Handling

2. Operating systems:

• Disk Scheduling

• Segmentation

3. Web Technology:

• HTML

• Cascading Style Sheet

• Angular JS

• Javascript

• Bootstrap

• Type Script

• Introduction to Web designing video

4. Machine Learning:

• Bayesian Learning

• Genetic Algorithms

• K-Means Algorithm

• Decision Tree

• Artificial Neural Network

• Candidate Elimination Steps

• K-Means and K-Medoids  Video

5.  Java Programming:

•  Event Handling

•  AWT Components

• CO-PO Mapping

• ILO

• Tutorial I II III  IV V  VI

• Quiz

• NPTEL

6. Problem Solving and Programming:

• Structures in C

7. Python Programming:

•  Basics and Numpy

• Python List

• Mysql Installation Steps

8. Engineering Economics and Management:

• Dynamics of Business

• Macro Economics 

• Marketing 

• Depreciation 

9. Data Structures:

• Trees in Data Structures 

• Graph in Data Structures 

10. Credit Courses:

• Git Installation and Working with Git

• Ecllipse, Maven installation and Sprinboot