International Journals

1) Kalavakonda Vijaya, H. Khanna Nehemiah, A. Kannan, and N.G. Bhuvaneswari Amma, “Fuzzy Neuro Genetic Approach for Predicting the Risk of Cardiovascular Diseases”, Inderscience International Journal of Data Mining, Modelling and Management, Vol. 2, No. 4, pp. 388-402, 2010, IF: 0.5, DOI: 10.1504/IJDMMM.2010.035565

2) N.G. Bhuvaneswari Amma and S. Selvakumar, “Deep Radial Intelligence with Cumulative Incarnation Approach for Detecting Denial of Service Attacks”, Elsevier Neurocomputing, Vol. 340, pp. 294-308, 2019, IF: 6.5, DOI - 10.1016/j.neucom.2019.02.047.

3) N.G. Bhuvaneswari Amma and S. Selvakumar, “Anomaly Detection Framework for Internet of Things Traffic using Vector Convolutional Deep Learning Approach in Fog Environment”, Elsevier Future Generation Computer Systems, Vol. 113, pp. 255-265, 2020, IF: 6.1, DOI -10.1016/j.future.2020.07.020.

4) N.G. Bhuvaneswari Amma, S. Selvakumar, and R. Leela Velusamy, “A Statistical Approach for Detection of Denial of Service Attacks in Computer Networks”, IEEE Transactions on Network and Service Management, Vol. 17, No. 2, pp. 2511-2522, 2020, IF: 5.4, DOI: 10.1109/TNSM.2020.3022799.

5) N.G. Bhuvaneswari Amma and S. Selvakumar, “A Statistical Class Center based Triangle Area Vector Method for Detection of Denial of Service Attacks”, Springer Cluster Computing, Vol. 24, pp. 393 – 415, 2021, IF: 4.1, DOI -10.1007/s10586-020-03120-3.

6) N.G. Bhuvaneswari Amma and Jitaksh Kapoor, “A Novel Scrambled Data Hiding Approach Towards Securing Sensitive Data”, Taylor and Francis IETE Journal of Research, Vol. 69, pp. 5847-5856, 2021, IF: 1.3, DOI – 10.1080/03772063.2021.1988873.

7) N.G. Bhuvaneswari Amma and S. Selvakumar, “Optimization of Vector Convolutional Deep Neural Network using Binary Real Cumulative Incarnation for Detection of Distributed Denial of Service Attacks”, Springer Neural Computing and Applications,  Vol. 34, No. 4, pp. 2869-2882, 2022, DOI - 10.1007/s00521-021-06565-8.

8) N.G. Bhuvaneswari Amma, “A Vector Convolutional Deep Autonomous Learning Classifier for Detection of Cyber Attacks”, Springer Cluster Computing,                       Vol. 25, pp. 3447-3458, 2022, IF: 4.1, DOI - 10.1007/s10586-022-03577-4.

9) N.G. Bhuvaneswari Amma and P. Valarmathi, “ORaBaN: An Optimized Radial Basis Neuro Framework for Anomaly Detection in Large Networks”, Springer International Journal of Information Technology,              Vol. 14, pp. 2497-2503, 2022, DOI - 10.1007/s41870-022-00991-0.

10) N.G. Nageswari Amma and N.G. Bhuvaneswari Amma, “PClusBA: A Novel Partition Clustering based Biometric Authentication Mechanism”, Taylor and Francis IETE Journal of Research,      Vol. 70, pp. 467-472, 2022, IF: 1.3, DOI – 10.1080/03772063.2021.1988873.

11) N.G. Bhuvaneswari Amma, Velliangiri S., Vinayakumar Ravi, and Rajasekhar Chaganti, “LPCOCN: A Layered Paddy Crop Optimization based Capsule Network Approach for Anomaly Detection at IoT Edge”, Multidisciplinary Digital Publishing Institute (MDPI) Information, Vol. 13, pp. 587 (1-15), 2022, IF: 2.9,  DOI – 10.3390/info 13120587.

12) S. Velliangiri, N.G. Bhuvaneswari Amma, and Nam-Kyun Baik, “Detection of DoS Attacks in Smart City Networks with Feature Distance Maps”, IEEE Internet of Things Journal,       Vol. 10, pp. 18853-18860, 2023, IF: 8.9, DOI – 10.1109/JIOT.2023.3264670.

13) N.G. Bhuvaneswari Amma and Vikrant Rajput, “Towards Improving the Performance of Traffic Sign Recognition using Support Vector Machine based Deep Learning Model”, Springer Multimedia Tools and Applications, Vol. 83, pp. 6579-6600, 2023, DOI – 10.1007/s11042-023-15479-7.

14) R. Kanchana, N.G. Bhuvaneswari Amma, and S. Selvakumar, “Convolutional Neural Network based Children Recognition System using Contactless Fingerprints”, Springer International Journal of Information Technology, Vol.15, pp. 2695-2705, 2023, DOI – 10.1007/s41870-023-01306-7.

15) R. Kanchana, N.G. Bhuvaneswari Amma, Ashwin S. Guptha, and S. Selvakumar, “CLNet: a contactless fingerprint spoof detection using deep neural networks with a transfer learning approach”, Springer Multimedia Tools and Applications,              Vol. 83, pp. 27703-27722, 2023,  DOI – 10.1007/s11042-023-16511-6.

16) Daegeon Kim, Velliangiri S., N.G. Bhuvaneswari Amma, and Dongoun Lee, “Class Scatter Ratio Based Mahalanobis Distance Approach for Detection of Internet of Things Traffic Anomalies”, Springer Mobile Networks and Applications, Vol. 29, pp. 373-384, 2023, IF: 2, DOI – 10.1007/s11036-023-02257-w.

17) N.G. Bhuvaneswari Amma, “En-RfRsK: An Ensemble Machine Learning Technique for Prognostication of Diabetes Mellitus”, Elsevier Egyptian Informatics Journal, Vol. 25, 100441, 2024, IF: 4.3, DOI – 10.1016/j.eij.2024.100441.

18) Dong-jo Kim, N.G. Bhuvaneswari Amma, and Velliangiri Sarveshwaran, “A Novel Split Learning Based Consumer Electronics Network Traffic Anomaly Detection Framework for Smart City Environment”, IEEE Transactions on Consumer Electronics, Vol. 70, pp. 4197-4204, 2024, IF: 10.9, DOI – 10.1109/TCE.2024.3367330.

19) N.G. Nageswari Amma, T.Jayaraj, and N.G. Bhuvaneswari Amma, “Towards Improving the Security of Wireless Networks using Secured Session Keys”, Information Security Journal: A Global Perspective,              Vol. 34, pp. 1-14, 2024, IF: 1.7, DOI – 10.1080/19393555.2024.2347682.

20) N.G. Bhuvaneswari Amma and N.G. Nageswari Amma, “Optimized Ensemble Machine Learning Cancer Classification System for Clinical Decision Making”, Neural Computing and Applications, Vol. 37, pp. 24483-24498, 2025, DOI – 10.1007/s00521-025-11599-3.

21) Khushal Kindra, N.G. Bhuvaneswari Amma, and N.G. Nageswari Amma, “Towards enhancing the performance of crop prediction system for precision agriculture using feature correlation square-based nearest neighbor classifier”, Scientific Reports,        Vol. 16, 8807, 2026, IF: 3.9, DOI - 10.1038/s41598-026-35212-2.

22) Ankur Vatsa and N.G. Bhuvaneswari Amma, “A systematic review on fake news detection using deep learning models”, International Journal of Data Science and Analytics, Vol. 22, No. 157 (1-15), 2026, ID: 2.8, DOI - 10.1007/s41060-026-01137-2.

International Conferences

1) N.G. Bhuvaneswari Amma, “Cardiovascular Disease Prediction System using Genetic Algorithm and Neural Network”, IEEE International Conference on Computing, Communication and Applications, PSNA College of Engineering and Technology, Dindigul, 2012, ISSN: 2325-6001.

2) N.G. Bhuvaneswari Amma, “An Intelligent Approach based on Principal Component Analysis and Adaptive Neuro Fuzzy Inference System for Predicting the Risk of Cardiovascular Diseases”, IEEE International Conference on Advanced Computing, Madras Institute of Technology, Chrompet, Chennai, 2013, ISSN: 2377-6927.

3) K. Shankari and N.G. Bhuvaneswari Amma, “Clasp: Detecting potential deadlocks and its removal by iterative method”, Online International Conference on Green Engineering and Technologies (IC-GET) 2015, Karpagam College of Engineering, Coimbatore, 2015, ISBN: 978-1-4673-9781-0. 

4) R. Nandha Kumar and N.G. Bhuvaneswari Amma, “A cutting edge quality management system to optimize quality and to ensure compliance in life sciences automation”, Online International Conference on Green Engineering and Technologies (IC-GET) 2015, Karpagam College of Engineering, Coimbatore, 2015, ISBN: 978-1-4673-9781-0. 

5) S. Gomathi and N.G. Bhuvaneswari Amma, “Privacy preserving data mining approach for extracting fuzzy rules”, Online International Conference on Green Engineering and Technologies (IC-GET) 2015, Karpagam College of Engineering, Coimbatore, 2015, ISBN: 978-1-4673-9781-0. 

6) N.G. Bhuvaneswari Amma and S. Selvakumar, “VCDeepFL: Vector Convolutional Deep Feature Learning Approach for Identification of Known and Unknown Denial of Service Attacks”, IEEE Region 10 Conference TENCON 2018, Jeju, Korea, 2018, ISSN: 2159-3450.

7) N.G. Bhuvaneswari Amma and S. Selvakumar, “Feature Correlation Map based Statistical Approach for Denial of Service Attacks Detection”, Fifth International Conference on Computing, Engineering, and Design (ICCED 2019), Nanyang Technological University, Singapore, 2019, ISBN: 978-1-7281-2094-2.

8) N.G. Bhuvaneswari Amma and S. Selvakumar, “RumorDetect: Detection of Rumors in Twitter using Convolutional Deep Tweet Learning Approach”, Springer International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2019), Coimbatore, 2019, ISBN: 978-3-030-37217-0.

9) N.G. Bhuvaneswari Amma, S. Selvakumar, and R. Leela Velusamy, “SAGRU: A Stacked Autoencoder based Gated Recurrent Unit Approach for Intrusion Detection”, Springer International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), National Institute of Technology Karnataka, Surathkal, 2020, ISSN: 2194-5357.

10) N.G. Bhuvaneswari Amma, “Network Traffic Classification using Deep Autonomous Learning Approach”, Springer International Conference on Security, Privacy, and Data Analytics (ISPDA 2021), Sardar Vallabhbhai National Institute of Technology Surat, 2021, ISSN: 1876-1100.

11) N.G. Bhuvaneswari Amma and P. Valarmathi, “IoTInDet: Detecting Internet of Things Intrusions with Class Scatter Ratio and Hellinger Distance Statistics”, 18th International Conference on Information Systems Security (ICISS 2022), Indian Institute of Technology, Tirupati, 2022, Grade ‘C’ Conference, ISSN: 0302-9743.

12) N.G. Bhuvaneswari Amma, Banjot Singh Kullar, Ayush Pathak, and Shekhar Chhaba, “Coverless Image Steganography using Diffusion Models”, IEEE International Conference on Contemporary Computing and Communications (InC4 2025), CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, 2025, ISBN: 979-8-3315-2118-9. 

13) Suvercha Yadav, Priyanshu Dayaramani, Shreyash Belgaonkar, and N.G. Bhuvaneswari Amma, “An Intelligent Crop Recommendation System for Informed Decision Making in Smart Agriculture Ecosystem”, 5th International Conference on Advanced Computational and Communication Paradigms (ICACCP 2025), Sikkim Manipal University, Sikkim, 2025, ISBN: 978-3-032-13554-4. 

Book Chapters

1) N.G. Bhuvaneswari Amma, “Big Data Mining”, Effective Big Data Management and Opportunities for Implementation, IGI Global, Scopus, 2016, DOI: 10.4018/978-1-5225-0182- 4.ch003.

2) S. Selvakumar and N.G. Bhuvaneswari Amma, “Computational Intelligence Methods for Anomaly based Detection of Distributed Denial of Service Attacks”, New Horizons in Computer Science Research, Nova Publishers, Vol. 20, 2021, ISBN: 978-1-53619-103-5.

3) N.G. Bhuvaneswari Amma and R. Akshay Madhavaraj, “Malware Analysis Using Machine Learning Tools and Techniques in IT Industry”, Artificial Intelligence and Cyber Security in Industry 4.0, Springer, Scopus, 2023, DOI: 10.1007/978-981-99-2115-7_8.

4) N.G. Bhuvaneswari Amma, “Towards Securing Information in Digital Era using Blockchain Technology”, Supporting Technologies and the Impact of Blockchain on Organizations and Society, IGI Global, Scopus, 2023, DOI: 10.4018/978-1-6684-5747-4.ch015.

5) Khushal Kindra and N.G. Bhuvaneswari Amma, “Crop Prediction for Smart Agriculture using Ensemble of Classifiers”, Machine Learning and Deep Learning for Smart Agriculture and Applications, IGI Global, Scopus, 2023, DOI: 10.4018/978-1-6684-9975-7.ch007.

6) P. Valarmathi, N.G. Bhuvaneswari Amma, and Vasu Bhasin, “A Transfer Learning Approach for Detecting Plant Leaf Diseases with Convolutional Neural Networks”, Machine Learning and Deep Learning for Smart Agriculture and Applications, IGI Global, Scopus, 2023, DOI: 10.4018/978-1-6684-9975-7.ch011.

7) Ayush Yadav and N.G. Bhuvaneswari Amma, “A Smart Healthcare Diabetes Prediction System Using Ensemble of Classifiers”, Using Traditional Design Methods to Enhance AI-Driven Decision Making, IGI Global, Scopus, 2024, DOI: 10.4018/979-8-3693-0639-0.ch005.

8) Swanand Arun Yamgar and N.G. Bhuvaneswari Amma, “Analyzing the Efficacy of Machine Learning Algorithms on Intrusion Detection System”, Emerging Technologies for Securing the Cloud and IoT, IGI Global, Scopus, 2024, DOI: 10.4018/979-8-3693-0766-3.ch008.

9) Tharun Ashwin B. and N.G. Bhuvaneswari Amma, “Comparative Analysis of Machine Learning Techniques for Classifying the Risk of Cardiovascular Diseases”, Emerging Advancements in AI and Big Data Technologies in Business and Society, IGI Global, Scopus, 2024, DOI: 10.4018/979-8-3693-0683-3.ch009.

10) N.G. Nageswari Amma and N.G. Bhuvaneswari Amma, “An Intelligent Alarm System to Detect and Control Railroad Crossings Using Wireless Sensor Networks: RailAlarm”, Machine Learning for Environmental Monitoring in Wireless Sensor Networks, IGI Global, Scopus, 2024, DOI: 10.4018/979-8-3693-3940-4.ch009.

11) Ayush Negi, Shrish Srinivasan, and N.G. Bhuvaneswari Amma, “Toward Classifying the Severity of Diabetic Retinopathy Using Deep Learning”, Deep Learning in Diabetes Mellitus Detection and Diagnosis, CRC Press, Taylor & Francis, Scopus, 2025, DOI: 10.1201/9781032708430-5.

12) Arvind Kulkarni Aniruddha and N.G. Bhuvaneswari Amma, “A Novel Facial Expression Recognition Using Convolutional Neural Network”, Advanced Interdisciplinary Applications of Deep Learning and Data Science, IGI Global, Scopus, 2025, DOI: 10.4018/979-8-3693-4759-1.ch010.

Patent Published

1) Device for Monitoring Digital Engagement to Support Mental Wellness, Application No. 202641001387

• Received Research Award 2022, Research Award 2023, Research Award 2024, and Research Award 2025 at Vellore Institute of Technology, Chennai.

• Received First Prize in PhD Forum Presentation for the poster, “Anomaly based Approaches for Detection of Denial of Service Attacks” demonstrated in 3rd ISEA International Conference on Security and Privacy (ISEA-ISAP 2020) held at Indian Institute of Technology (IIT), Guwahati.

• Received Full Fellowship (Registration, Travel, and Accommodation) for attending 3rd ISEA International Conference on Security and Privacy (ISEA-ISAP 2020) held at Indian Institute of Technology (IIT), Guwahati during 27, February – 1, March 2020.

• Received Best Paper Award for the research paper titled, “Feature Correlation Map based Statistical Approach for Denial of Service Attacks Detection”, presented in 5th International Conference on Computing, Engineering, and Design (ICCED 2019) held at Nanyang Technological University, Singapore.

• Received CSIR Travel Grant – Full air fare for attending 5th International Conference on Computing, Engineering, and Design (ICCED 2019) held at Nanyang Technological University, Singapore during 11-13, April 2019.

• Received MHRD Scholarship to pursue (Ph.D.) at National Institute of Technology, Tiruchirappalli, Tamil Nadu (2016-2020).

• Qualified GATE 2015(CS) – 91 percentile, Score: 382.

• Received MHRD Scholarship to pursue M.E. (CSE) at College of Engineering, Anna University, Guindy Campus, Chennai, Tamil Nadu (2007-2009).

• Qualified GATE 2007(IT) – 92 percentile, Score: 381.

FDP ATTENDED

1) ATAL Online FDP on Cyber Security Oversight for Information Protection organized by Cochin University of Science and Technology, Cochin, Kerala – July 12-16, 2021.

2) ATAL Online FDP on Deep Learning for Computer Vision organized by KIET Group of Institutions, Gazhiabad – July 26-30, 2021.

3) ATAL Online FDP on Augmented Reality and Virtual Reality organized by Maulana Azad National Urdu University Polytechnic, Hyderabad – August 9-13, 2021.

4) ATAL Online FDP on Computational Intelligence organized by National Institute of Technology, Agartala – January 3-7, 2022.

5) Faculty Build-A-Thon 2022 on Applied Data Science organized by IBM India Private Limited – July 2022 – August 2022.

6) AI Pragyan – FDP on Generative AI organized by SmartBridge and IBM SkillsBuild – November 12, 2025 – December 4, 2025.

EXPERT TALKS DELIVERED

1) Online FDP on Big Data Computing organized by School of Computing, IIIT Una, Himachal Pradesh – November 26, 2020.

2) Online FDP on New Generation Data Science organized by Department of CSE, LBS Institute of Technology for Women, Poojappura, Thiruvanathapuram, Kerala - February 22, 2021.

3) Online Workshop on Tools and Techniques of Data Mining organized by Department of CSE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu – April 27-28, 2021.

4) Online FDP on Digital Logic Circuits organized by Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Erode, Tamil Nadu – May 25, 2021.

5) ATAL Online FDP on Data Science (Elementary) organized by School of Computing, IIIT Una, Himachal Pradesh – July 03, 2021.

6) ATAL Online FDP on Machine Vision and Digital Twin organized by School of Computing, Sathyabama Institute of Science & Technology, Chennai, Tamil Nadu – November 23, 2021.

7) Virtual Live Workshop on Cyber Security – Threats, Challenges, and Opportunities organized by Department of ECE, Thiagarajar College of Engineering, Madurai, Tamil Nadu – December 17, 2021.

8) ATAL Online FDP on Data Science (Advanced) organized by School of Computing, IIIT Una, Himachal Pradesh – December 27, 2021 and December 29, 2021.

9) Online MATLAB Workshop on Bio-inspired Optimization Algorithms organized by IEEE Student Branch, National Institute of Technology, Tiruchirappalli, Tamil Nadu – January 06, 2022.

10) ATAL Online FDP on Data Science organized by Department of Computer Engineering, J.C. Bose University of Science & Technology, YMCA, Faridabad – February 25, 2022.

11) Student Development Program on Unleashing the Power of Artificial Intelligence: A Guide to Its Successful Application organized by the Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai – July 23, 2024.

Academic Experience:

• Associate Professor, School of Computing, SRM Institute of Science and Technology, Tiruchirappalli, Tamil Nadu (May 2026 – Till Date)

• Assistant Professor, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu  (January 2022 – May 2026)

• Guest Faculty (Assistant Professor), School of Computing, Indian Institute of Information Technology, Una, Himachal Pradesh (July 2020 – January 2022)

• Temporary Faculty, Department of Computer Science and Engineering, Indian Institute of Information Technology, Srirangam, Tiruchirappalli, Tamil Nadu (March 2014 – July 2016)

• Assistant Professor, Department of Information Technology, Panimalar Institute of Technology, Chennai, Tamil Nadu (May 2013- March 2014)

• Assistant Professor, Department of Computer Science and Engineering, Sudharsan Engineering College, Sathiyamangalam, Pudukkottai, Tamil Nadu (June 2011- November 2012)

• Lecturer, Department of Computer Science and Engineering, Noorul Islam University, Kumaracoil, Kanyakumari, Tamil Nadu (July  2009- May 2010)

• Lecturer, Department of Information Technology, PSG College of Technology, Peelamedu, Coimbatore, Tamil Nadu (June 2005- Aug 2007)

• Lecturer, Department of Computer Engineering, SCAD Polytechnic College, Cheranmahadevi, Tirunelveli, Tamil Nadu (May 2004 – June 2005)

Research Experience:

• Full-Time Research Scholar, Department of Computer Science and Engineering, National Institute of Technology, Tiruchirappalli, Tamil Nadu (Aug. 2016 – July 2020)

• International Association of Engineers (IAENG), Membership No.: 153327

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