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    This post was last updated on       November 29th, 2021

Research Overview

The faculty of the 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 focused on 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 of AI systems that can mimic human thought patterns like reasoning and perception.

Research Publications
Patent / Copyright
  1. Sejal Santosh Nimbhorkar granted copyright on Underwater Image Enhancement using Generative Adversarial Network(GAN) with Residual Blocks and EDL Penalty (SW-14838/2021) on 24/8/2021.
  2. Sejal Santosh Nimbhorkar published patent on System and Method for Image Analysis and Summarization (201941033734) on 26/2/2021
  3. Sajitha N published Indian Patent on the Invention title Artificial Intelligence Based Cardiac Arrhythmia Detection in Heart Patients on 19th March 2021(202121010624).
  4. Mohanesh B M filed a patent on a Face Recognition system using the latest technologies (202041038216).
Books
  1. Sejal Santosh Nimbhorkar published a book entitled – Web Recommendations System, Springer publication.
Journal Publications:
Academic Year 2020-2021
  1. Sreevidya R.C, Jalaja G, Sajitha N, Savitha G, Akshitha K, “Energy-Aware Load Balanced Multicast Routing in Wireless Sensor Networks (EALBMR)” in IT in Industry, Vol. 9, No.2, 2021.
  2. Anushree Janardhan Rao, Chaithra Bekal, Y. R. Manoj, R. Rakshitha, Poornima, “Automatic Detection of Crop Diseases and Smart Irrigation using IOT and Image processing”, Innovative Data Communication Technologies and Application (pp.363-374)Springer, 03, Feb 2021 (DOI: https://doi.org/10.1007/978-981-15-9651-3_31).
  3. Shashank N, Ambika V, Poornima N, “Electroencephalography Based Brain-Computer Interface”, International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238, Volume: 29, No. 3, (2020), pp. 13970 – 13979.
  4. Sindhu V M, Karthik V, Poornima N, “Survey on Face Recognition using Neural Networks”, International Journal for Research in Applied Science and Engineering Technology (IJRASET), ISSN: 2321-9653, Volume 8 Issue IX Sep 2020- (DOI: https://doi.org/10.22214/ijraset.2020.31522).
  5. Mohanesh B M, “Principles Of R-Tree And Simpson Rule Used For Face” International Journal of Advances in Electronics and Computer Science: ISSN(p): 2394-2835, vol. 7, no. 7, July 2020.
Academic Year 2019-2020
  1. Ramya R S, Darshan M, Sejal D, Venugopal K R, Iyengar S S, Patnaik L M, “EPNDR: Emotion Prediction For News Documents Based On Readers’ Perspectives”, International Journal of Scientific & Technology Research, ISSN – 2277-8616, vol. 9, no. 01, January 2020.
  1. Ramya R S, Darshan M, Sejal D, Venugopal K R, Iyengar S S, Patnaik L M, “ACTSMLT: Automatic Classification of Text Summarization using Machine Learning Technique”,  International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958,     vol. 9, no. 2, December 2019.
  2. Sunitha R, Chandrika J, “Evolutionary Computing Assisted Wireless Sensor Network Mining for QoS-Centric and Energy-efficient Routing Protocol” Volume 33, Issue 5, TRANSACTIONS B: Applications, Pages 791-797, May 2020,
  3. Sunitha R., Chandrika J. (2019),“Fuzzy-Based Mobile Base Station Clustering Technique to Improve the Wireless Sensor Network Lifetime”, Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_36
  4. Ramya Shree B , Nama Venkata Naga Sukesh, V.R Rohith, Pranav N Rao, Sajitha NRecommendation and Product Analyzer System for E-Commerce” IRJET e-ISSN: 2395-0056 vol 7, Issue 6, June 2020
  5. Sajitha NAutomatic Emotion Detection from Unstructured/Semi-Structured Text” IJIRT ISSN: 2349-6002 Vol 7, Issue 1, June 2020.
  6. Anushree Janardhan Rao, Chaithra BekalY. R., ManojR., Rakshitha, Poornima, “Smart Irrigation and Crop Disease Detection Using Machine Learning – A Survey” was published in Springer (Lecture Series) on 05, March 2020 (DOI: https://doi.org/10.1007/978-3-030-43192-1_65).
International/National Conferences
Academic Year 2020-2021
  1. Sajitha N, Dr. Kiran Y, C “Machine Learning in Precision Agriculture: Applications and Techniques” in International conference on recent challenges in engineering science and technology (ICRCEST-2K21) Organized by Department of ECE, Ramachandra College of Engineering, Eluru, AP, India on 09th & 10th April 2021.
  2. Sreevidya R.C, Jalaja G, Sajitha N, Savitha G, Akshitha K, “Energy-Aware Load Balanced Multicast Routing in Wireless Sensor Networks (EALBMR)” in International conference on recent challenges in engineering science and technology (ICRCEST-2K21) Organized by Department of ECE, Ramachandra College of Engineering, Eluru, AP, India on 09th & 10th April 2021.
  3. Kruthik J T, Ramakrishna K, Sunitha R., Prasad Honnavalli B. (2021) Security Model for Internet of Things Based on Blockchain. In: Raj J.S., Iliyasu A.M., Bestak R., Baig Z.A. (eds) Innovative Data Communication Technologies and Application. Lecture Notes on Data Engineering and Communications Technologies, vol 59. Springer, Singapore. https://doi.org/10.1007/978-981-15-9651-3_45.
  4. Madhu K, Archana D H, Sunitha, and P. B. Honnavalli, “Smart Bot and E-commerce Approach based on Internet of Things and Block-chain Technology,” 2020 4th International Conference on Electronics, Communication, and Aerospace Technology (ICECA), 2020, pp. 629-634, DOI: 10.1109/ICECA49313.2020.9297537.
  5. Rahul raj, Sunitha and H. B. Prasad, “Mitigating DDoS Flooding Attacks with Dynamic Path Identifiers in Wireless Network,” 2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA), 2020, pp. 869-874, DOI: 10.1109/ICIRCA48905.2020.9182867.
  6. Vishruth R G, Sunitha, Varuna K S, Varshini, P. B. Honnavalli, “Resume Scanning and Emotion Recognition System based on Machine Learning Algorithms,” 2020 4th International Conference on Electronics, Communication, and Aerospace Technology (ICECA), 2020, pp. 1127-1132, DOI: 10.1109/ICECA49313.2020.9297586.
  7. Anushree Janardhan Rao, Chaithra Bekal, Y. R. Manoj, R. Rakshitha, Poornima, “Automatic Detection of Crop Diseases and Smart Irrigation using IOT and Image processing”, proceedings of the 2nd International Conference on Innovative Data Communication Technologies and Application(ICIDCA-2020), 03-04, September 2020.
  8. Mohanesh B MRepresenting the face image segments using Beszier Curves” International conference on Modern approaches in Engineering, Science and Management, 16-17 April 2021 luckonw,UP
  9. Mohanesh B MNewtons Gregory interpolation principle to identify and predict the unknown values from Item set data of the super Market”, ICRTST 2020, ATME Mysore
  10. Sushma T S,Review on side-effects of COVID-19 in the development of neurological diseases” in National Conference on Science and Management held on 15th and 16th July 2020 organized at The Oxford College of Engineering.
  11. Sushma T S, “A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition” in National Conference on Science and Management held on 15th and 16th July 2020 organized at The Oxford College of Engineering.
Academic Year 2019-2020
  1. RS Ramya ; M Darshan ; N Sejal ; K R Venugopal ; S S Iyengar ; L M Patnaik, “Automatic Classification of Community Question Answer (CQA) for Non Factoid Queries”, In the proceedings of  IEEE 16th India Council International Conference (INDICON), December 2019. 
  2. Ramya R S ; Naveen Raju ; Sejal N ; Venugopal K R ; S S Iyengar ; LM Patnaik, “AEFUQ: Automatic Extraction of Facets for User Queries”, In the proceedings of IEEE Fifteenth International Conference on Information Processing (ICINPRO), December 2019. 
  3. Ramya R S ; Nanda Kishore ; Sejal D ; Venugopal K R ; S S Iyengar ; L M Patnaik, “Predicting Social Emotions based on Textual Relevance for News Document”, In the proceeding of  IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE), November 2019. 
  4. Raksha H, Namitha G, Sejal N, “Action-based Video Summarization”, In the proceedings of IEEE Region 10 Conference (TENCON),  pp. 455-260, October 2019.
  5. Sunitha R., Chandrika J., “Enhanced Non-circular Dynamic Base Station Approach to Increase Network Lifetime of Wireless Sensor Network,”2019 1st International Conference on Advances in Information Technology (ICAIT), 2019, pp. 64-68, DOI: 10.1109/ICAIT47043.2019.8987395.
  6. Sunitha R, Chandrika J, “Enhanced Dynamic Base Station Approach to Increase Network Lifetime of Wireless Sensor Network” In ICAIT 2019 from July 24th to 27th 2019 at AIT Chickamagaluru, published in IEEE digital library, 1109/ICAIT47043.2019.8987395
  7. Anushree Janardhan Rao, Chaithra BekalY. R., ManojR., Rakshitha, Poornima,“Smart Irrigation and Crop Disease Detection using Machine Learning”, 2nd International Conference on Computer Networks, Big Data and IoT (ICCBI-2019), 19-20, December 2019.
Funded Projects
Faculty NameProject Details
Dr. Sejal Santosh Nimbhorkar

Title: Visualization of User’s Web-browsing Behavior from Web Usage Data using Mining Techniques

Funding Agency: Karnataka State Council for Science and Technology (KSCST), Karnataka, India

Amount: 5 Thousand 

Duration:  05 months

Mrs. Poornima N

Title: “AI BASED SMART IRRIGATION AND CROP DISEASES DETECTION”

Funding Agency: Karnataka State Council for Science and Technology (KSCST), Karnataka, India

Amount: 4 thousand 

Duration:  05 months

Mrs. Pavithra H C

Title: Finger Gesture Interface for Operating System

Funding Agency: VTU –Foss Projects

Amount: 5 thousand 

Duration:  05 months