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Research Overview

The faculty of Artificial Intelligence & Machine Learning group conducts research in many areas of artificial intelligence and its related domains. The group conducts research on the development and analysis of algorithms that learn and perform intelligent behavior with minimal human intervention, natural language understanding / processing, computer vision, machine learning, data science, and so forth.


1      Current Research

The main thrust areas of research of our AIML faculty is related to the broad domains including:

  • Algorithms,
  • Artificial Intelligence,
  • Data Mining,
  • Machine Learning,
  • Deep Learning,
  • Sentiment Analysis,
  • Data science,
  • Image and Video Analysis,
  • Internet of Things, and
  • Web Mining

Most of our faculty is working on frontiers of Artificial Intelligence research with Big Data and Machine Learning, i.e., datasets humans can only mine by training machines and making them perform human-like tasks. The research work on this area can be observed in all our recent published works.


2      Future Research Plans

Our primary research interests will remain focus in the areas mentioned above. Other research interests are planned to work on the research problems to develop AI solutions that can provide competitive advantage by augmenting human intelligence with the help of Big data, Graphical Processing Units (GPUs) and Deep learning. For example, Deep learning models to work with small datasets and the use of more unsupervised learning (the system should simply interact with the world) for new AI innovation. In addition, we are planning to work with efficient algorithms to work with GPU systems. These techniques seem to be interesting in the near future though it is not easy to think AI systems that can mimic human thought patterns like reasoning and perception.

Publication Section


  1. Aravinda C.V, Lin Meng, Udaya Kumar Reddy K R, Amar prabhu G, “A Demystifying Convolutional Neural Networks using GRADCAM for Prediction of Coronavirus Disease (COVID-19) on X-RAY Images”, has been published during December 2020.



  1. Usha Devadiga, Udaya Kumar Reddy K R, Ankitha Nayak, Ravi B, “DigiLab: An android application for laboratory service at the doorstep of the patient” (Applied for patent), January 2021.



  1. Aravinda C.V, Lin Meng, Udaya Kumar Reddy K R, Amar prabhu G, “A Data Analysis Prediction for The Prevention of Heart Attack using Deep Learning Techniques”, Wiley Publications, Jan 2021.

Research Article Publication




  1. Krishnaraj Bhat, Udaya Kumar Reddy K R, Ranjan Kumar H S, Dindayal Mahto, “A novel scheme for lossless authenticated multiple secret images sharing using polynomials and extended visual cryptography”, IET Information Security, Wiley, DOI: 10.1049/ise2.12001, Pages 1-10, (2020), (Q2).
  2. Aravinda C.V, Lin Meng, Udaya Kumar Reddy K R, Amar prabhu G, “A Complete Methodology for Kuzushiji Historical Character Recognition using Multiple Features Approach and Deep Learning Model”, International Journal of Advanced Computer Science and Applications, 2020-09-01, DOI: 10.14569/ijacsa.2020.0110884 Part of ISSN: 2156-5570, Part of ISSN: 2158-107X, (Web of Science), (2020) (Q4).
  3. Aravinda C.V, Lin Meng, Udaya Kumar Reddy K R , Amar Prabhu G, “A Demystifying convolutional neural networks using Gradcam for prediction of covid-19 on x-ray images”, Data Science for COVID-19: Computational Perspectives 1st Edition, Elsevier ISBN-13: 978-0128245361, ISBN-10: 0128245360″, (2021).
  4. Aravinda C.V, Lin Meng, Uday Kumar Reddy K R, Amar Prabhu G,” Offline Signature Recognition and Verification Using ORB Key Point Matching Techniques”, Advances in Science, Technology and Engineering Systems Journal, 2020-07-05, journal-article, DOI: 10.25046/aj050401, Part of ISSN: 2415-6698, Part of ISSN: 2415-6698″, (Scopus Indexed), (2020), (Q3).
  5. Minu P Abraham, Udaya Kumar Reddy K R, “Feature Based Sentiment Analysis of Mobile Product Reviews using Machine Learning Techniques”, International Journal of Advanced Trends in Computer Science and Engineering, Volume 9, No.2, March- April 2020, ISSN 2278-3091, (2020), (Q4).
  6. Shwetha G.K, Udaya Kumar Reddy K R, “Classification of Breast Cancer in Histopathology Image using Modified Ant Lion Optimizer and Capsule Network Architecture” International Journal of Advanced Science and Technology, Vol. 29, No. 7, (2020), pp. 4193-4207, (Q4).
  7. Shiji Abraham, Minu P Abraham, Udaya Kumar Reddy K. R., Anisha P. Rodrigues, “Aspect Based Opinion Mining on Mobile Product”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), Blue Eyes Intelligence Engineering & Sciences Publication, March 2020, pp. 2278-3075, (Q4).
  8. Minu P Abraham, Udaya Kumar Reddy K R, “A Feature Based Opinion Mining for Product Reviews using Naive Bayes and K-Nearest Neighbour Classifiers”, International Journal of Engineering and Advanced Technology, ISSN: 2249-8958, (Online), Volume-8 Issue-5, June 2019, Page No.:2795-2801, (Q4).
  9. Lin Meng, Dr. Aravinda C.V, Uday Kumar Reddy K R,” Ancient Asian Character Recognition for Literature Preservation and Understanding”, Springer Nature Switzerland AG 2018 M. Ioannides et al. (Eds.):EuroMed 2018, LNCS 11196, pp. 741–751, October 2018. https://doi.org/10.1007/978-3-030-01762-0_66.
  10. R. Udaya Kumar Reddy, “A Survey of All-pairs shortest-paths problem and its variants”, Acta Univ. Sap. Informatica. (Scopus Indexed), 2016, 8(1): 16 – 40, (Q3).
  11. Jalaja G., Sajitha N., and R. Udaya Kumar Reddy, “Reviewing the Pathway of Text-Mining Approaches to Gauge the Applicability in Data Analysis”, International J. of Comp. Appl., 125(3): 0975–8887, September 2015.
  12. Udaya Kumar Reddy K.R., “A few results on Wiener index of the kth power of some specific graphs”, Journal Research and Reports, 2015, 5(5): 427 – 434.
  13. Viswanathan Iyer and Udaya Kumar Reddy K.R., “Weiner index of binomial tress and Fibonacci trees”, Int’l. J. Math. Engg. with Comp., 1, 27 – 34, 2010. Available at http://arxiv.org/abs/0910.4432.
  14. Udaya Kumar Reddy K.R. and K. Viswanathan Iyer (2009), “Computing Wiener index of graphs with more than one cut-vertex” GAMS J. Math. and Math. Biosciences, 2, 1 – 7.
  15. Udaya Kumar Reddy K.R. and K. Viswanathan Iyer (2009), “All-pairs Shortest-paths problem for unweighted graphs in O(n2logn) time” Int’l. J. Math. and Stat. Sciences, 1, 14 – 20.
  16. Udaya Kumar Reddy K.R., “Computing average distance on strongly chordal graphs”, National J. Tech., 8, 26 – 35, 2009.




  1. Divya Jennifer Dsouza, Udaya Kumar Reddy K R, “Anomaly Detection for Big Data Using Efficient Techniques: A Review”, Springer Lecture Series: Advances in Artificial Intelligence and Data Engineering Singapore, August 2020.
  1. Swathi Ananda, Daichi Kitahara, Akira Hirabayashi, R. Udaya Kumar Reddy, “Automatic Fundus Image Segmentation for Diabetic Retinopathy Diagnosis by Multiple Modified U-Nets and SegNets”, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), DOI: 10.1109/APSIPAASC47483.2019.9023290, Published in IEEE Xplore, Lanzhou, China, Electronic ISSN: 2640-0103, 2019.
  2. V Aravinda, K.R. Udaya Kumara Reddy, Lin Meng, G Amar Prabhu, “South Indian Character Recognition Using Statistical Feature Extraction and Distance Classifier”, 2020 International Conference on Advanced Mechatronic Systems (ICAMechS), DOI: 10.1109/ICAMechS49982.2020.9310148, Published in IEEE Xplore, Vietnam, Electronic ISSN: 2325-0690.
  1. C.V Aravinda, Lin Meng, K.R. Uday Kumar Reddy, and Amar Prabhu, “Signature Recognition and Verification Using Multiple Classifiers Combination of Hu’s and HOG Features,” 2019 International Conference on Advanced Mechatronic Systems, ICAMechS, DOI: 10.1109/ICAMechS.2019.8861686, Publisher IEEE Xplore, 10 October 2019.
  2. Aravinda C.V, Lin Meng, and Uday Kumar Reddy K.R, “An approach for signature recognition using contours based technique, 2019 International Conference on Advanced Mechatronic Systems, ICAMechS, DOI: 10.1109/ICAMechS.2019.8861516, Publisher IEEE Xplore: 10 October 2019.
  3. Marwa Mohiddin and Udaya Kumar Reddy K.R. (2018), “Edge Enhancement of Medical Images Directly in the JPEG Compressed Domain”, International Conf. Emerging Trends in Engg., 2018.
  4. Pranitha, Minu P. Abraham and Udaya Kumar Reddy K.R. (2018), “Implicit Aspect Based Sentiment Analysis”, Intl Conf. Emerging Trends in Engg., 2018.
  5. Meghana H.R. and Udaya Kumar Reddy K.R. (2015), “Detection and Prevention in WSNs using Game Theory and Fuzzy Q-Learning”, National Conf. Adv. Comp. Sci. & Engg., (NCACSE – 2015), 24 – 28, Bengaluru, India.
  6. Udaya Kumar Reddy K.R. and Ranjana S. C. (2012), “Computing Wiener index of Fibonacci weighted trees”, Int’l. Conf. on Foundations of Computer Science & Tech., (FCST – 2012), 471 – 478, Chennai, India.
  1. Udaya Kumar Reddy K.R. (2010). Computing Wiener index of (P_n \Box P_n)^2. Int’l. Conf. on Advances in Recent Tech. Comm. Comp., (ARTCom), 85 – 88, Kottayam, India.
  2. Udaya Kumar Reddy K.R. and K. Viswanathan Iyer (2009). All-pairs shortest-paths problem for unweighted graphs in O(n^2\log{n}) time. In Proc. WASET, Int’l. Conf. Comp. Inf. Sys. Engg., 38, 488 – 494, Penang, Malaysia.
  3. Udaya Kumar Reddy K.R. and K. Viswanathan Iyer (2009). An optimal algorithm for computing all-pairs shortest distance problem on weighted strongly chordal graphs. In Proc., Int’l. Conf. Math. Comp. Models, 241 – 247, Coimbatore, India.