Dr. J. Arun Nehru
Assistant Professor (S.G)
Department of Computer Science & Engineering – Emerging Technologies
Contact Information
Email : arunnehj@srmist.edu.in
- Ph.D. in Computer Science and Engineering, Annamalai University, 2017
- M.E. in Computer Science and Engineering, Annamalai University, 2010
- B.E. in Computer Science and Engineering, Annamalai University, 2008
- Diploma in Computer Technology, Muthiah Polytechnic, DOTE, 2004
- Artificial Intelligence (Theory & Lab)
- Programming for Problem Solving (Theory & Lab)
- Human Computer Interface (Theory)
- Multimedia Tools and Applications (Theory)
- Information System for Engineers (Theory)
- Programming Multimedia for the Web (Theory & Lab)
- Software Engineering (Theory & Lab)
- Computer Vision
- Artificial Intelligence
- Image and Video Processing
- Cloud Computing
- Machine Learning
- Deep Learning
- With Bhargavi, G. Land Risk Susceptibility, Hazard And Risk Factors in Western Ghats, India – A Review.” Journal of Critical Reviews Vol. 7(19), (2020). 10.31838/jcr.07.19.1101. (Scopus Indexed)
- With Vaijayanthi, S, Synthesis Approach for Emotion Recognition from Cepstral and Pitch Coefficients Using Machine Learning, Lecture Notes in Electrical Engineering (LNEE), Springer, Vol. 733, 2021. (Scopus Indexed)
- J. Arunnehru and Bhargavi, G. and Vaijayanthi, S, A Survey on Recent Deep Learning Architectures.” Artificial Intelligence and IoT: Smart Convergence for Eco-friendly Topography, Springer, Vol. 85, 2021.
- With M. Poonkodi, and K. S. Anand, Transfer Learning-Based Image Tagging Using Word Embedding Technique for Image Retrieval Applications, Communications in Computer and Information Science, Springer, Vol. 1374, 2021. (Scopus Indexed)
- With J. Antony Vijay, and H. Anwar Basha, A Dynamic Approach for Detecting the Fake News Using Random Forest Classifier and NLP, Advances in Intelligent Systems and Computing, Springer, Vol. 1257, 2020. https://doi.org/10.1007/978-981-15-7907-3_25. (Scopus Indexed)
- With Vishal Balaji, D., (2022). Predictive Analysis on HRM Data: Determining Employee Promotion Factors Using Random Forest and XGBoost, Advances in Intelligent Systems and Computing, vol 1396. Springer, Singapore. (Scopus Indexed)
- With Sekar, V. (2022). Semantic-based visual emotion recognition in videos-a transfer learning approach. International Journal of Electrical & Computer Engineering (2088-8708), 12(4). (Scopus Indexed)
- With Oommen, D., (2022). Early Diagnosis of Alzheimer’s Disease from MRI Images Using Scattering Wavelet Transforms (SWT), Communications in Computer and Information Science, vol 1572. Springer, Cham. (Scopus Indexed)
- With Oommen, D.K., (2022). A Deep Learning Approach for Automated Detection and Classification of Alzheimer’s Disease, Communications in Computer and Information Science, vol 1614. Springer, Cham. (Scopus Indexed)
- With Bhargavi, G., (2022). Identification of Landslide Vulnerability Zones and Triggering Factors Using Deep Neural Networks – An Experimental Analysis., Communications in Computer and Information Science, vol 1613. Springer, Cham. (Scopus Indexed)
- With Vaijayanthi, S., (2022). Human Emotion Recognition from Body Posture with Machine Learning Techniques, Communications in Computer and Information Science, vol 1613. Springer, Cham. (Scopus Indexed)
- With Oommen, Deepthi K., (2022) A comprehensive study on early detection of Alzheimer disease using convolutional neural network, In AIP Conference Proceedings, vol. 2385, no. 1, p. 050012. (Scopus Indexed)
- Arunnehru, J., et.al. (2022). Machine Vision-Based Human Action Recognition Using Spatio-Temporal Motion Features (STMF) with Difference Intensity Distance Group Pattern (DIDGP). Journal of Electronics, 11(15), 2363. (SCIE – IF: 2.690 & SNIP: 1.013 – Scopus Indexed)
- Arunnehru, J., et,al. (2022). Target Object Detection from Unmanned Aerial Vehicle (UAV) Images Based on Improved YOLO Algorithm. Journal of Electronics, 11(15), 2343. (SCIE – IF: 2.690 & SNIP: 1.013 – Scopus Indexed)
- With Devi, S.P., and Manivannan, S., (2022). ANFIS Coupled Genetic Algorithm Modelling for MIMO Optimization of Flat Plate Heat Sink. Lecture Notes in Networks and Systems, Vol 428. Springer, Singapore. (SNIP: 0.249 – Scopus Indexed)
- With G. Bhargavi (2023). Deep learning framework for landslide severity prediction and susceptibility mapping, Intelligent Automation & Soft Computing, 36(2), pp. 1257–1272. (SCIE – IF: 3.401 & SNIP: 0.946 – Scopus Indexed)
- With Basha, H.A., Sangeetha, S.K.B., and Sasikumar, S. (2023). A proficient video recommendation framework using hybrid fuzzy C means clustering and Kullback-Leibler divergence algorithms. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-14460-8 (SCIE – IF: 2.395 & SNIP: 1.05 – Scopus Indexed)
- With Deepthi K. Oommen, “Detection and Classification of Alzheimer’s Disease: A Deep Learning Approach with Predictor Variables”, in Diagnosis of Neurological Disorders Based on Deep Learning Techniques, Taylor & Francis, CRC Press, pp.85-98, July 2023. (Scopus Indexed)
- With Deepthi K. Oommen, “Alzheimer’s Disease Stage Classification Using a Deep Transfer Learning and Sparse Auto Encoder Method”, Computers, Materials & Continua, Vol.76(1), pp.793-811, 2023. https://doi.org/10.32604/cmc.2023.038640 (SCIE – IMF 3.1 & Scopus Indexed)
- With Deepthi K. Oommen, Comprehensive Analysis of Machine Learning Algorithms to Detect Alzheimer’s Disease using Predictor Factors, Journal of Theoretical and Applied Information Technology, Vol.101(10), pp. 4086 – 4098, 2023. (Scopus Indexed)
- With G. Bhargavi (2024), Landslide Susceptibility Assessment and Primary Triggering Factor Analysis Using Machine Learning Techniques in the Western Ghats Region of India. In Journal of Environmental Protection and Ecology (Vol. 24, Issue 1, pp. 10–16). (SCIE – IMF 0.507 & Scopus Indexed.)
- Arunnehru, “Human Pose Estimation and Activity Classification Using a Machine Learning Approach,” International Conference on Soft Computing and Signal Processing, Malla Reddy College of Engineering and Technology, Hyderabad, India, June21 to 22, 2019
- Arunnehru, “Human Activity Recognition based on Motion Projection Profile Features in Surveillance Videos Using SVM and GMM,” Third International Symposium on Security in Computing and Communications (SSCC’15), SCMS School of Engineering & Technology, Kochi, Kerala, India, August10 to 13, 2014
- Arunnehru, “Occlusion Detection Based on Fractal Texture Analysis in Surveillance Videos Using Tree-Based Classifiers,” Third International Symposium on Security in Computing and Communications (SSCC’15), SCMS School of Engineering & Technology, Kochi, Kerala, India, August10 to 13, 2014
- Arunnehru, “Maximum Motion Representation and Recognising Activity in Surveillance Video,” Second International Conference on Emerging Research in Computing, Information, Communication and Applications (ERCICA-2014), Elsevier, Bangalore, India, August1 to 2, 2014
- Arunnehru, “Codebook Generation for Action Classification in Vision-Based Surveillance,” Eighth International Conference on Image and Signal Processing (ICISP-2014), Elsevier, Bangalore, India, July25 to 27, 2014
- Arunnehru, “Maximum Intensity Block Code for Action Recognition in Video Using Tree-Based Classifiers,” Springer International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES’14), Noorul Islam Centre for Higher Education, Noorul Islam University, Kumaracoil, Kanyakumari, Tamil Nadu, India, April22 to 23, 2014
- Arunnehru, “Motion Intensity Code for Action Recognition in Video Using PCA and SVM,” International Conference on Mining Intelligence and Knowledge Exploration (MIKE’13), Virudhunagar Hindu Nadar’s Senthikumara Nadar College, Virudhunagar, Tamil Nadu, India, December18 to 20, 2013
- Arunnehru, “Behaviour recognition in surveillance video using temporal features,” Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT), IEEE, Tiruchengode, India, July4 to 6, 2013
- Arunnehru, “A Quantitative Real-Time Analysis of Object Tracking Algorithm for Surveillance Applications,” International Conference on Information, Systems and Computing (ICISC’13), Sri Sai Ram Engineering College, West Tambaram, Chennai, India, January4 to 5, 2013
- Assistant Professor (S.G.), Department of Computer Science and Engineering (Emerging Technologies), SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2023 – Till date
- Assistant Professor (Sr.G.), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2019 – 2023
- Assistant Professor (O.G.), Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, Tamil Nadu, 2017 – 2019
- Senior Research Fellow, Department of Computer Science and Engineering, Faculty of Engineering and Technology, Annamalai University, Tamil Nadu, 2012–2017
- Lecturer, Department of Computer Science and Engineering, IFET College of Engineering, Villupuram, Tamil Nadu, June 2010 – June 2012
- I received the “AWS Educate Cloud Ambassador” from Amazon Web Services in 2020
- I received the “Best Paper Award” in the Research Conference on IoT, Cloud and Data Science, SRM Institute of Science and Technology, Vadapalani, 2019
- I received the “Best Paper Award” at the International Conference on Pattern Recognition and Multimedia Signal Processing, Annamalai University, 2015
- I received an “Award of Excellence—Best Paper Award” in the Springer International Conference on Artificial Intelligence and Evolutionary in Engineering Systems, Noorul Islam University, Kumaracoil, 2014
- The Institution of Engineering and Technology (IET)—Annual Member: 1100664483, 2018
- International Economics Development Research Centre (IEDRC): Life Member: 90081089, 2018
- The Indian Science Congress Association (ISCA)—Annual Member: A5956, 2017
- Indian Society of Technical Education (ISTE)—Life Member, LM78036, 2011
- International Association of Engineers (IAENG)—Life Member: 134028, 2012