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    This post was last updated on       October 23rd, 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.

Staff MemberResearch Work
Dr. Sejal Santosh Nimbhorkar
  • Funding received

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

  • Book

Published a book entitled – Web Recommendations System, Springer publication

  • Patent / Copyright
PatentNumberNameStatus
CopyrightSW-14838/2021Underwater Image Enhancement using Generative Adversarial Network(GAN) with Residual Blocks and EDL PenaltyGranted 
Patent201941033734System and Method for Image Analysis and SummarizationPublished
  • Journal
  •  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
  • 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
  • International Conference
  • R S 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.
  • 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.
Mrs. Sajitha N.
  • Patent

Granted Indian Patent on the invention title “ARTIFICIAL INTELLIGENCE BASED CARDIAC ARRHYTHMIA DETECTION IN HEART PATIENTS” 19th March 2021

  • International Journals
  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. Ramya Shree B, Nama Venkata Naga Sukesh, V.R Rohith, Pranav N Rao, Sajitha N  “Recommendation and Product Analyzer System for E-Commerce” IRJET e-ISSN: 2395-0056 vol 7, Issue 6, June 2020
  3. Sajitha N “Automatic Emotion Detection from Unstructured/Semi-Structured Text” IJIRT  ISSN: 2349-6002 Vol 7, Issue 1, June 2020
  4. Bhuvanashree K S, Sajitha N “Removal of Rain Streaks and Shadow from an image” IRJET:e-ISSN 2395-0056 vol 6, issue 6 June 2019
  • Papers presented in International/National Conferences

International

  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.
Mr. Mohanesh B M
  • Patent
  1. Filed a patent on a Face Recognition system, using the latest technologies
  2. Newtons Gregory interpolation principle to identify and predict the unknown values from Item set data of the super Market” ICRTST 2020. 
Mrs Poornima N
  • Funding received

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

Journal 

  1. “Automatic Detection of Crop Diseases and Smart Irrigation using IOT and Image processing”, Springer, 03, Feb 2021 (DOI: https://doi.org/10.1007/978-981-15-9651-3_31)
  2. “Electroencephalography Based Brain-Computer Interface”, International Journal of Advanced Science and Technology (IJAST), ISSN: 2005-4238, Volume: 29, No. 3, (2020), pp. 13970 – 13979
  3. “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)
  4. “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)
  5. “Survey on ML Algorithms for Medical Guidance System”, International Journal of Innovative Science and Research Technology (IJISRT), ISSN No:-2456-2165, Volume 4, Issue 3, March – 2019

International Conference

  1. “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.
  2. “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.
  3. “Applications and Technology in IoT”, International Conference On Emerging Trends in Computing, Electrical, and Electronics (ICETCEE- 2019),17, March 2019.
Mrs. Pavithra H C
  • Funding received

Title: Finger Gesture Interface for Operating System

Funding Agency: VTU –Foss Projects

Amount: 5 thousand 

Duration:  05 months

  • National Conference

“Medical Assistant Chatbot based on Neural networks” in the National Conference on the convergence of Science, Technology and Management NCCSTM-2019” held on 10th May 2019 at Dayananda Sagar Academy of Technology & Management, Bengaluru-82.

Mrs Sushma T S
  1. Participated and Presented a paper titled “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
  2. Participated and Presented a paper titled “A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition” at the National Conference on Science and Management held on 15th and 16th July 2020 organized at The Oxford College of Engineering