Dhee Centre for AI and Data Science - RV University
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About

Dhee Center is an interdisciplinary research and education center focusing on the study, development and applications of advanced computational and statistical methods to extract knowledge and insights from large and complex data sets.

This involves developing algorithms and techniques in the fields of data mining, data visualization, machine learning. including deep learning, computer vision, natural language processing, and reinforcement learning, and organizing conferences to disseminate the research results.

In addition to research, the Center will also offer educational programs, such as undergraduate and graduate courses, seminars, workshops, and certificate programs, to help students and professionals develop the skills needed to work in the fields of AI and data science. The focus will evolve according to the interests of the stakeholders.

In its first year, the research focus is on applications in the domain of healthcare, in particular, applications of image segmentation for tracing and making predictions, in the domains of dentistry and neuroscience. This involves forraying collaborations with domain experts.

Academic focus would be on designing and developing curriculum and courses for:

1. AI/ ML specialization courses for BTech Computer Science

2. BSc Honors Data Science

3. Minors in Data Science/ AI for degrees other than Computer Science and Data Science and degree programs other than the School of Computer Science and Engineering

4. A one-year certificate course in Data Analysis

5. A two-year Advanced Post Graduate Diploma course in Data Science and Machine Learning

6. M.Tech Data Science for working professionals

7. Modular Masters Certifications by upGrad Campus in

  • Programming for Data Science
  • Data Analysis
  • Machine Learning
  • Deep Learning
  • Specializations, if any

Members

  1. Dr. Shobana Padmanabhan (Director)
  2. Ms. Nalini DN (Academic Coordinator)
  3. Dr. Sathya D.
  4. Dr. Shabbeer Basha
  5. Prof. PG Bhat
  6. Dr. Baishali Garai
  7. Prof. Shanti Konda
  8. Prof. Muralidhar Billa
  9. Mr. Chandhan Suresh (Communications Executive)
  10. Dr. Sanjay Chitnis (Dean, SoCSE)
  11. Dr. Karthikeyan Periyasami
  12. Dr. Sahana Prasad, Visiting Faculty Sep – Dec 2023
  13. Dr. Merin Thomas
  14. Prof. Ashwini Mathur (Faculty liaison)
  15. Prof. Kalpana Devi S
  16. Prof. Ramesh Sundararaman
  17. Ms. Divya M (PhD Scholar)
  18. Ms. Achala Hegde (PhD Scholar)
  19. Prof. Shanur Rahman
  20. Ms. Shobha H R (Teaching Assistant)
  21. Mr. Paras Negi (Teaching Assistant)
  22. Ms. Usha Rengaraju (world’s first woman triple Kaggle grandmaster), Visiting Faculty

Internships, Mentoring, Consulting and Collaboration

1. ALLOccasions (https://alloccasions.fr), France

  • Manesha P
  • Kishore Desai
  • Srivijayalakshmi AT
  • Lohith R Gowda
  • Smaran Rangarajan Bharadwaj
  • Dr. Shobana Padmanabhan (Faculty advisor)
  • Karmishtha
  • Dr. Balu Masti (Faculty liaison)

2. Saima (https://saima.ai), USA

  • Donna R
  • Alisha Taj
  • Divya M (PhD Student)
  • Mohd Adil
  • Sagar Kumar
  • Dr. Shobana Padmanabhan (Faculty advisor)
  • Dr. Balu Masti (Faculty liaison)
  • Prof. Kalpana Devi (Faculty liaison)

3. Development of Active Learning Methods for Computer Vision Problems

  • Srikrishna U N
  • Sunainha Vijay
  • Vipul Arya
  • Avishi Sarda
  • Harshini Mridula Mohan
  • Maanya Manjunath
  • Vedansh Maheshwari

4. Building low compute Deep Neural Networks: Filter Pruning Methods

  • Dyuthi Ramesh
  • Joselyn Riana Manoj
  • Venkatesh Vijayraj Ankola
  • Prajwal R R
  • Radhika Pisipati
  • Sushan Rai
  • Prof. Shabbeer Basha

5. Essence Labs, Inc. (https://www.theessence.app/), USA

  • Reethu RG Thota
  • Dyuthi Ramesh
  • Prajna Anand
  • Dr. Shobana Padmanabhan (Faculty advisor)
  • Dr. Balu Masti (Faculty liaison)
  • Karmishtha
  • Prof. Ashwini Mathur(Faculty liaison)

6. SUPPLAI (https://www.supplai.it/)

  • Sanjan D – Student
  • Akshay B
  • Zeba Fathima
  • Avishi Sarda
  • Sai Prasad Reddy
  • Shriya Prithvi
  • Riya Raj P
  • Dr. Shobana Padmanabhan (Faculty advisor)
  • Prof. Manjul Krishna (Faculty liaison)

7. VectraTech Global (https://www.vectratechglobal.com/), USA

  • Aditya Kushal
  • Siddhartha A K
  • Siddhartha A K
  • Akshath S Bhandiwad
  • Achala Hegde (PhD Student)
  • Dr. Shabbeer Basha (Faculty advisor)

Internships at Dhee Center

  • Priya Gawli (a student of PES University)
  • Vishnu Patgar (a student of PES University)

Reviews, Professional Activities

  1. Dr. Shobana Padmanabhan served as a reviewer for the 10th International Conference on Advanced Computing and Communication Systems (ICACCS), February 2024.
  2. Dr.Shabbeer Basha. Reviewed two papers submitted to WACV-2023. Reviewed two papers submitted to Neurocomputing Journal.
  3. Dr. Sathya D. Actively contributing as a reviewer in MDPI Journal since 2022.

Events

1. Hands-on workshop on ChatGPT and Large Language Models

2. Generative AI and its applications in Language and Vision

3. Dr. Sajjan Shiva’s Distinguished Public Lecture

Journal and Conference Publications, Books and Book Chapter, Articles

  1. Basha SH Shabbeer., et al. Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer Multimedia Systems. Springer, https://doi.org/10.1007/s00530-024-01271-6 (2024)
  2. Karthikeyan P., Breast cancer diagnosis model using stacked autoencoder with particle swarm optimization. Ain Shams Engineering Journal,102734, https://doi.org/10.1016/j.asej.2024.102734 (2024)
  3. Resmi T J (PhD Scholar – RVU) and Dr. Shobana Padhmanabhan., Statistical Analysis of Student Data and Machine Learning Models for Performance Prediction.In: Proceedings of the 4th International Conference on Data Engineering and Communication Systems (ICDECS-2024), IEEE Xplore Digital Library, RNSIT, Bangalore(2024).
  4. Karthikeyan P., HLASwin-T-ACoat-Net based Underwater Object Detection. IEEE Access, 1-1, https://ieeexplore.ieee.org/document/10444550 (2024)
  5. Karthikeyan P., An Autonomous Sleep-Stage Detection Technique in a Disruptive Technology Environment. Journal of Sensors 24 , 1197, https://doi.org/10.3390/s24041197 (2024)
  6. Basha SH Shabbeer., Deep model compression based on the training history. Neurocomputing 573, 127257, https://doi.org/10.1016/j.neucom.2024.127257 (2024)
  7. Sathya D., Blockchain Technology and its Impact in Stock Exchange. In Proceedings of the 3rd International Conference on Innovative Mechanisms for Industrial Applications (pp. 21-23)(2023)
  8. Karthikeyan P., Blockchain Security for the Internet of Things. Springer International Publishing , 75-92, https://doi.org/10.1007/978-3-031-09955-7_5 (2024)
  9. Dr. Shobana Padhmanabhan’s blog “How Data Science and AI will change the scenario of placements at higher education” published in the Times of India newspaper. https://timesofindia.indiatimes.com/blogs/voices/how-data-science-and-ai-will-change-the-scenario-of-placements-at-higher-education/ (2023)
  10. Sathya D., Some Applications of Quantum Information Theory.1-5, https://doi.org/10.1109/CSITSS60515.2023.10334107 (2023)
  11. Karthikeyan P., Hsiung, PA. Multimodal Labor Exploitation Detections for Taiwan Distant Water Fishing Industry. Springer 5, 46, https://doi.org/10.1007/s42979-023-02346-3 (2023)
  12. Karthikeyan P., Prediction-based peer-to-peer energy transaction market design for smart grids. Journal of Artificial Intelligence 126, 107190, https://doi.org/10.1016/j.engappai.2023.107190 (2023)
  13. Sathya D., Wearable Sensors and AI Algorithms for Monitoring Maternal Health. GI Global Publications, 66-87, https://doi.org/10.4018/979-8-3693-1718-1 (2023)
  14. Karthikeyan P., A Smart CIoT With Secure Healthcare Framework Using Optimised Deep Recuperator Neural Network Long Short-Term Memory. IEEE Internet of Things Journal , 1-1, https://ieeexplore.ieee.org/document/10290899 (2023)
  15. Karthikeyan P., Design and Implementation of Internet of Things (IoT) Platform Targeted for Smallholder Farmers: From Nepal Perspective. Journal ofAgriculture 13, 1900, https://doi.org/10.3390/agriculture13101900 (2023)
  16. Dr. Shobana Padmanabhan., Human-Machine Interface Technology Advancements and Applications (1st ed).CRC Press, 1-24, https://doi.org/10.1201/9781003326830 (2023)
  17. Kalpana Devi S., An enhanced AES-GCM based security protocol for securing the IoT communication. Journal of Information Technologies 23, 711-719, https://doi.org/10.17586/2226-1494-2023-23-4-711-719(2023)
  18. Sathya D., Blockchain Technology and its Impact in Stock Exchange (1st ed). CRC Press, 278, https://doi.org/10.1201/9781003307716 (2023)
  19. Sathya D., Sustainable Digital Technologies for Smart Cities: Healthcare, Communication, and Transportation (1st ed). CRC Press, 278, https://doi.org/10.1201/9781003307716 (2023)
  20. Sathya D., Artificial Intelligence Inspired Automatic Road Condition Classification. In Proceedings of the 4th International Conference on Computing Communication and Networking Technologies, IIT Delhi (pp. 6-8) (2023)

Patents, Copyrights

  1. Dr. Shobana Padmanabhan’s UK Design Patent for an AI-enabled Charging Station for Electric Vehicles underscores innovation in sustainable transportation (Design No. 6324117).
  2. Dr. Shobana Padmanabhan’s Indian Patent for an Development and Optimization of a Deep Learning Neural Network Framework for Advanced Image and Speech Recognition Applications (Application No. 202341079506A,published on 22/12/2023).

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