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Center for AI & Robotics

Center for AI & Robotics

Teacher

Dr. Sujata Chakravarty

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Center Name : AI & ROBOTICS

 

People (Faculty)

John

Dr.Sujata Chakravarty

Professor & Head

Dept of CSE

Centurion University

John

Mr.Manoj Kumar Behera

Assistant Professor

Dept of CSE

Centurion University

John

Ms.Sasmita Nayak

Asst Professor

Dept of CSE

Centurion University

John

Mr.K.Santoshchandra Rao

Asst Professor

Dept of CSE

Centurion University

John

Dr. Mohammed Siddique

Asst Professor

Dept of Mathematics

Centurion University

John

Mr.Kali Prasad Rath

Asst Professor

Dept of Mathematics

Centurion University

John

Mrs.Saubhagyalaxmi Singh

Asst Professor

Dept of Mathematics

Centurion University

Focus areas

  • Hyperspectral Image Processing
  • Plant Disease detection using Image segmentation based on Convolutional neural network
  • NLP on Odia Corpora (iNLTK and indic NLP Library)

Ongoing Projects

Application of Machine Learning in Hyper spectral Image Analysis John
Machine Learning Based Eye Health Care System John
Leaf Disease Detection System John
Automated Elephant Detection System to desist uncertain Railway accidents by unifying AI and IoT John

Center Patents

  • S. Chakravarty, “Machine Learning Based Computer implemented method for managing production from a Hydrocarbon Reservoir”, Application number – 201941040224, Publication date - 25/10/2019.
  • S. Chakravarty, Automated Elephant Detection System to desist Railway accidents by unifying AI and IoT (Applied August 2020)
  • S. Chakravarty, "Automated Portable Diagnostic System and Method for the Patient in COVID Hospital", Application number – 202031035686, Publication date -  11/09/2020.

Domain Courses

Certifications / Skill Courses

Domain Courses Certificate  Courses
  • Data Science and Machine Learning
  • Industrial Automation
  • Robotics and process automation
  • BOTs and NLP
  • Certificate in Introduction to Robotics

Awards / Recognition

  • Dr. Sujata Chakravarty, Got Jhansi Rani Laxmibai Prativa Puraskar for Technical Education and Research on 8th March 2018 at Jayadev Bhaban, Bhubaneswar, Odisha.
  • Dr. Sujata Chakravarty, Editor-In- Chief, IEEE News-Letter, Bhubaneswar Sub-Section.
  • Dr. Sujata Chakravarty, Elevated as a Senior Member of IEEE, Year 2014.
  • Dr. Sujata Chakravarty,Elected as an Executive Committee Member IEEE Bhubaneswar Sub-section, November 2015.

Publications

  1. N. Dash, S. Chakravarty (2020), Improved Harmony Search Extreme Learning Machine for Development of Intrusion Detection System, Neural Computing and Applications, Springer, (Comunicated).
  2. Satyabrata Dash, S. Chakravarty (2020) A Mathematical Model for Analysis of COVID-19 Outbreak Using Von Bertalanffy Growth Function (VBGF), World Development, Elsevier, (Comunicated).Satyabrata Dash, S. Chakravarty (2020)
  3. Manoj Kumar Behera, Rutuparnna Mishra, Anshit Ransingh, S. Chakravarty (2020), Segmentation of Hard Exudates in Retinal Fundus Images using Deep Convolutional Neural Network, International Journal of Advanced Science and Technology, Volume. 29, No. 6, pp-5192-5199.
  4. Ankita Singh, Jatindra Kumar Dash, Biswajit Behura, S. Chakravarty (2020) Teaching Learning Based Optimized Support Vector Regression Model for Prediction of Indian Stock Market, International Journal of Advanced Science and Technology, Vol. 29, No. 5, (2020), pp. 3002 – 3015
  5. Rutuparnna Mishra, Anshit Ransingh, Manoj Kumar Behera, S. Chakravarty (2020) Face Recognition based Smart Door Lock Using Raspberry Pi, Journal of Xidian University, Vol 14, Issue 5, pp 321-331.
  6. Jatindra Kumar Dash, S. Chakravarty (2020) Novel Texture Feature for Content Based Image Retrieval, Test Engineering and Management, Vol 83, 17788 – 17800.
  7. Satyabrata Dash, S. Chakravarty (2020) Security vulnerabilities in Application layer protocols for Machine-to-Machine (M2M) Communication, ADALYA JOURNAL, Volume 9, Issue 4, 248- 268.
  8. Satyabrata Dash, S. Chakravarty (2020) Trustworthiness of Vulnerable VMs with Increasing Number of Attacks in Cloud Environment, Indian Journal of Natural Sciences, Vol.10 / Issue 59 / April / 2020, 18930- 18938.
  9. Manoj Kumar Behera, S. Chakravarty (2020), Prediction of different Stages in Diabetic Retinopathy from Retinal Fundus Images using Radial Basis Function based Support Vector Machine, Indian Journal of Science and Technology, Accepted.
  10. Purnima Lal, Puja Kumari, Soumya Samar Brahma, S. Chakravarty (2020), Detecting Malicious URLs Using Machine Learning Techniques, Indian Journal of Natural Sciences, Accepted
  11. Payal Bhadra, Avijit Balabantaray, S. Chakravarty (2020) Automated Elephant Detection System to desist uncertain Railway accidents by unifying AI and IoT Indian Journal of Natural Sciences, Accepted
  12. Chinmayee Chaini, S. Chakravarty (2020), ANT Colony Optimization based Artificial Neural Network for Classification of Breast Cancer Dataset Indian Journal of Natural Sciences, Accepted
  13. Anshuman Khuntia, Chinmayee Chaini, S. Chakravarty (2020), Anomaly Based Intrusion Detection System Using Machine Learning Techniques Indian Journal of Natural Sciences, Accepted
  14. Shanti Darshan Ray, Satya Naryan Pati, Prashant Kumar, Manoj Kumar Behera, S. Chakravarty (2020), Prediction of Glaucoma from Retinal Fundus Images using Support Vector Machine Indian Journal of Natural Sciences Accepted
  15. Goutam Sahu, Manoj Kumar Behera, Rakesh Ray, S. Chakravarty (2020), Random Forest Frame Work for Crop Yield Prediction Indian Journal of Natural Sciences, Accepted
  16. Rohit Kumar, Manjeet bhardwaj, Manoj Kumar Behera, Debases Das, S. Chakravarty (2020), Classification of Tomato Leaf Diseases using Image Processing and Machine Indian Journal of Natural Sciences, Accepted
  17. Swati Sucharita Barik, Mamata Garanayak, Sasmita Kumari Nayak, “Transfer Learning:Approaches and Methodologies,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.852-855, 2019.
  18. Swati Sucharita Barik, Sasmita Kumari Nayak, “Human Face Recognition using LBPH,” International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8 Issue-6, March 2020.
  19. Sasmita Kumarai Nayak, Swati Sucharita Barik, Mamata Beura,” Analysis of Infectious Hepatitis Disease with High Accuracy Using Machine Learning Techniques,” TEST Engineering & Management 83 (Vol. 83: May/June 2020), 14294-14302.
  20. Sasmita Kumarai Nayak, Swati Sucharita Barik, Mamata Beura,” Weather Forecasts Based on Rainfall Prediction Using Machine Learning Methodologies,” Adalya Journal 9 (6), Page No : 72 – 80.
  21. Tapas Ranjan Jena, Swati Sucharita Barik, Sasmita Kumarai Nayak,” Electricity Consumption & Prediction using Machine Learning Models,” Mukt shabd 9 (6), 2804-2818.
  22. Sripada Swain, Sasmita Kumari Nayak, Swati Sucharita Barik,” A Review on Plant Leaf Diseases Detection and Classification Based on Machine Learning Models,” Mukt shabd 9 (6), 5195-5205.
  23. Sasmita Kumari Nayak, Swati Sucharita Barik,” Real-time Object Detection and Recognition Using Deep Learning with YOLO Algorithm for Visually Impaired People,” Indian Journal of Natural Sciences, Vol.10, Issue 60, June – 2020.
  24. Swati Sucharita Barik , Stiti prajna, Sasmita Kumari Nayak,”A Review on Human Facial Recognition Techniques,” Indian Journal of Natural Sciences 0976 – 0997, Vol.10, Issue 60, June – 2020.
  25. Mohammed Siddique, S. Das and D. Panda (2017): Hybrid forecasting model for stock value prediction using soft computing technique, International Journal of Pure and Applied Mathematics, Vol. 117 (19); 357-363. ISSN:1311-8080
  26. Mohammed Siddique, S. Mohanty and D. Panda (2018): A hybrid forecasting model for prediction of stock value of Tata steel using support vector regression and particle swarm optimization, International Journal of Pure and Applied Mathematics, Vol. 119 (14): 1719-1727; ISSN:1311-8080
  27. Mohammed Siddique, S. Mohanty and D. Panda (2018): Daily stock market forecasting using kernel principal component analysis, support vector regression, and teaching learning based optimization, International Journal of Management, Technology and Engineering, Vol.8 (12) 3691-3704; ISSN: 2249-7455
  28. Mohammed Siddique, S. Mohanty and D. Panda (2019): A hybrid model for forecasting of stock value of Tata steel using orthogonal forward selection, support vector regression and teaching learning based optimization, Far East Journal of Mathematical Sciences, Vol-113 (1): 95-114; ISSN: 0972-0871
  29. Mohammed Siddique and D. Panda (2019): Prediction of Stock Index of Tata Steel using Hybrid Machine Learning Based Optimization Techniques, International Journal of Recent Technology and Engineering, Vol. 8 (2):3186-3193; ISSN: 2277-3878
  30. Mohammed Siddique and D. Panda (2019): A hybrid forecasting model for prediction of stock index of Tata Motors using principal component analysis, support vector regression and particle swarm optimization, International Journal of Engineering and Advanced Technology, Vol.9(1): 3032-3037; ISSN: 2249 – 8958
  31. Swati Sucharita Barik and Sujata Chakravarty Rainfall Prediction using Computational Intelligence Techniques: A Review, Vol 10, Issue 60, pp 25596- 25600
  32. Mrutyunjoy Murmu, Aashirbad Maharan, Manoj Kumar Behera and S. Chakravarty Prediction of Cataract from Retinal Fundus Images using Gradient Boosting Algorithm Vol 10, Issue 60, pp 23908- 23912
  33. Satya RanjanPrusty, Debasish Das and S. Chakravarty Air Quality Prediction by Machine Learning Technique Vol 10, Issue 60, pp 23918- 23922
  34. Manoj Kumar Behera and S. Chakravarty An Image based Glaucoma Detection Technique using Support Vector Machine Vol 10, Issue 60, pp 23928 – 23933
  35. Raj Kumar Sahoo, Debasish Das and S. Chakravarty COVID-19 Outbreak Prediction using Machine Learning Techniques Vol 10, Issue 60.
  36. Tamal Datta, Manoj Kumar Behera and S. Chakravarty Customer Churn Prediction in Banking using Naïve-Bayes Algorithm Vol 10, Issue 60
  37. Swagat Choudhury, Jayadev Das, Debasish Das and S. Chakravarty Drowsiness Detection System by using Viola Jones and Haar Cascade Algorithm, Vol 10, Issue 60
  38. Mamata Garanayak, Goutam Sahu and S. Chakravarty Prediction of Breast Cancer using Machine Learning Techniques, Vol 10, Issue 60
  39. Stitiprajna Panda , Soumya samar Brahma, Poulomi Maji1 and S. Chakravarty, Odia Handwriting Recognition: Way to find the Identity Vol 10, Issue 60, pp 23988- 23996
  40. Satabdi Swain, Chinmayee Chaini and S. Chakravarty Short Term Electricity Price Forecasting For Deregulated Energy Market, Vol 10, Issue 60, pp 24012- 24019
  41. Nitish Mahanand, Nitesh Kumar , Manoj Kumar Behera and S. Chakravarty Soil Health Monitoring using Machine Learning Techniques Vol 10, Issue 60, pp 24020- 24024
  42. Malini Patel , Simran Subudhi , Debasish Das and S. Chakravarty, Twitter Sentiment Analysis using Computational Intelligence Techniques Vol 10, Issue 60, pp 24025- 24032
  43. Rutuparnna Mishra, Anshit Ransingh, Manoj Kumar Behera and S. Chakravarty, Face Recognition Based Smart Door Lock Using Raspberry Pi Vol 10, Issue 60, pp 24506-24512
  44. Sasmita Pradhan , Suvendu Kumar Nayak , Manoj Kumar Behera and S. Chakravarty, Prediction of Indian Petrol Price Using Machine Learning Algorithm, Vol 10, Issue 60, pp 24518- 24525

 

Papers Published in IEEE Conferences

 

  1. Santosh Jhansi K, Sujata Chakravarty, Ravi Kiran Varma P, (2020) Feature Selection and Evaluation of Permission- Based Android Malware Detection, International Conference on Trends in Electronics and Informatics, (ICOEI 2020), Accepted
  2. Das, M. Singh, S. S. Mohanty, S. Chakravarty (2020), Leaf Disease Detection Using Support Vector Machine, International Conference on Cryptography, Security and Privacy (ICCSP-2020). Accepted.
  3. Goutam Agrawal, Rutuparnna Mishra, Anshit Ransing, Chakravarty (2020), Temperature Prediction from Fire Body Using Machine Learning Model, INDISCON-2020, IEEE Conference, Communicated
  4. Rutuparnna Mishra, Anshit Ransingh, Manoj Kumar Behera, Chakravarty, (2020) Convolutional Neural Network based Door lock System, INDISCON-2020, IEEE Conference, Communicated
  5. Manoj Kumar Behera, Chakravarty (2020), Diabetic Retinopathy Image Classification Using Support Vector Machine, IEEE International Conference on Computer Science, Engineering and Applications (ICCSEA 2020), GIET University, Gunupur, March 13-14, 2020 ICCSEA-2020.

 

Book Chapter

 

  1. Paikaray, B. K., Dewangan, P., Swain, D., & Chakravarty, S. (2020). An Extensive Study on Medical Image Security with ROI Preservation: Techniques, Evaluations, and Future Directions. In Machine Learning and Information Processing (pp. 465-476). Springer, Singapore.
  2. Padhi, B. K., Chakravarty, S., & Biswal, B. N. (2020). Anonymized Credit Card Transaction Using Machine Learning Techniques. In Advances in Intelligent Computing and Communication (pp. 413-423). Springer, Singapore.

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