Dr. G.Aarthi

Teaching

• Data Structures
• Python Programming
• Machine Learning
• Object Oriented Programming
• Computer Networks
• Web Technology

Research

• Machine Learning
• Internet of Things
• Cyber Security
• Deep Learning

• Aarthi, G. | Priya, S. Sharon* | Banu, W. Aisha, “KRF-AD: Innovating Anomaly Detection with KDE-KL and Random Forest Fusion”, Intelligent Decision Technologies, 2024, vol. 18, no. 3, pp. 2275-2287, https://doi.org/10.3233/IDT-240628
• Aarthi, G. | Priya, S. Sharon* | Banu, W. Aisha, “ALERT-IoT: Advanced Anomaly Detection Framework for IoT Environment Using Deep Learning”, International Journal of Intelligent Engineering and Systems, 2024, Vol.17, No.5, pp. 463-473 https://doi.org/10.22266/ijies2024.1031.36.
• Aarthi, G. | Priya, S. Sharon* | Banu, W. Aisha, “RID-Cloud: Spectral Recurrent Neural Network-based Intrusion Detection in Cloud Environment”, IETE Journal of Research, 2024, pp. 1-12, https://doi.org/10.1080/03772063.2024.2428740. 4
• Aarthi, G. | Priya, S. Sharon* | Banu, W. Aisha, “Deep learning based Gated Dilated Causal Convolution Network for IoT Intrusion Detection”, International Journal of Electrical and Computer Engineering. (Communicated)

• G. Aarthi, S. Sharon Priya, and W. Aisha Banu, “Comparative Study on Different Intrusion Detection Datasets Using Machine Learning and Deep Learning Algorithms,” in International Conference on Big Data and Cloud Computing Challenges (ICBCC) Proceedings, vol. 1021. Singapore: Springer, 2023. ISBN: 978-981-99-1051-9.
• G. Aarthi, R. Karthikha, Sharmila Sankar, S. Sharon Priya, D. Najumnissa Jamal & W. Aisha Banu, “Application of Machine Learning in Customer Services and E-commerce”, in International Conference of Data Management, Analytics and Innovation (ICDMAI) Proceedings, Singapore: Springer, 2023, pp. 817–832. ISBN: 978-981-99-1414-2.
• G. Aarthi, S. Sharon Priya, and W. Aisha Banu, “Empowering IoT Security: A Framework Utilizing Ensemble Machine Learning and Hyperparameter Optimization,” in International Conference on the Recent Advancements in Technological Perspective (ICRATP) Proceedings, 2024. ISBN: 978-81-971225-1-4.
• Yogesh Kumar, G. Aarthi, S. Sharon Priya, and W. Aisha Banu, “Comparative Analysis of Supervised Learning Algorithms for Air Quality Prediction System,” in International Conference on Communication and Computational Technologies (ICCCT) Proceedings, Singapore: Springer, 2023, pp. 351–366. ISBN: 978-981-99-3485-0.
• G. Ananthakrishnan, S. Sharon Priya, W. Aisha Banu, G. Aarthi and B. Yogesh Kumar, “Enhanced Detection of Epileptic Seizure Using Supervised and Unsupervised Algorithms,” in CEUR Workshop Proceedings, vol. 3706, 2nd International Conference on Artificial Intelligence and Data Science (ICAIDS-2023). ISSN: 1613-0073.
• F.A. A. Kadar, S. S. Priya, W. A. Banu, G. Aarthi and B. Y. Kumar, “Detecting Arrhythmia Heart Condition using Supervised Machine Learning Algorithms,”, IEEE Engineering Informatics, Melbourne, Australia, 2023, pp. 1-8, doi: 10.1109/IEEECONF58110.2023.10520581.

• G. Aarthi, S. Sharon Priya, and W. Aisha Banu, “Intrusion detection on NF-BoT-IoT dataset using artificial intelligence techniques,” in Handbook of Research on Deep Learning Techniques for Cloud-Based Industrial IoT, IGI Global, 2023, pp. 106–123, doi: 10.4018/978-1-6684-8098-4.ch007.

• “Enhancing IoT Security: A Dynamic Machine Learning Pipeline for DDoS Attack Detection,” presented at the National Conference on Functional Materials for Sustainable Energy & Information Technology (FuMSEIT-2023), B.S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, Nov. 27–28, 2023.
• “Real-Time IoT Applications using Node MCU and Raspberry Pi Controllers,” 6-day workshop, Smart System Group, Dept. of ECE, Vel Tech College, Avadi, Jan. 25–30, 2021.
• “Artificial Intelligence and its Impact on Industry 4.0,” 5-day FDP, School of Computer, Information and Mathematical Sciences, B.S. Abdur Rahman Crescent Institute of Science and Technology, Apr. 26–30, 2021.
• “Zero Coding: Data Analytics and Machine Learning for IoT Automation,” 5-day FDP, VIT Chennai, June 21–25, 2021.
• “Five Days Online FDP on Internet of Things,” 5-day FDP, Technocrats Institute of Technology, Bhopal, M.P., Feb. 8–12, 2022.
• “Developing Experiments for IoT Laboratory,” 5-day FDP, College of Engineering, Attingal, Mar. 7–11, 2022.
• “Artificial Intelligence and Machine Learning,” 5-day FDP, E&ICT Academy, IIT Guwahati, Mar. 14–19, 2022.
• “Internet of Things,” 5-day FDP, Computer Engineering Department, K J College of Engineering and Management Research, June 27 – July 1, 2022.
• “Intel Faculty Training Programme on AI and HPC,” 5-day FDP, Crescent Innovation and Incubation Council, B.S.A. Crescent Institute of Science and Technology in association with Intel Unnati Labs, Sept. 14–16 & 19–20, 2022.
• “IoT by Bevywise,” 2-day workshop, CSE Department, B.S.A. Crescent Institute of Science and Technology, Sept. 14–15, 2023.
• “FDP in Quantum Computing,” 2-week FDP, CSE Department, B.S.A. Crescent Institute of Science and Technology, Oct. 16–31, 2023.

• Gave a Lecture and Handson Session on the topic “Machine Learning”, at Open-Source Club conducted by CSE department of Crescent University on 19th Aug 2023.

• Completed NPTEL Course on “Introduction to Internet of Things (noc22-cs53)” in the year Jan-May 2022. (Elite and Topper)
• Completed NPTEL Course on “Cryptography and Network Security (noc22-cs90)” in the year Jul-Nov 2022. (Elite)
• Completed a Udemy course on “Complete Machine Learning and Data Science Bootcamp 2023” on 28th Oct 2023.