Dr. Vandanabhattacherjee Bhattacherjee PhD - JNU , M.Tech.(CS) - JNU and B.Tech(CSE) - BIT Mesra
Date of Joining:
10th January, 2002
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Anjali Apartment Lalpur
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9431596469|9431596469
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vbhattacharya@bitmesra.ac.in
Research Areas
- My research areas include Machine Learning and its applications. Currently, I am working on Deep Learning techniques applied to the domains of Software Fault prediction, Classification of Images, Disease prediction, Speech Recognition systems. I am also working on Semi-supervised learning techniques.
- Orcid Id 0000-0002-0680-2691
- Scopus Id 8568745600
- Researcher Id IZP-5454-2023
- Google Scholar Id ee8lSfIAAAAJ
- Vidwan ID 413271 Vidwan | Profile Page
- APAAR ID 164432664333
Work Experience
- Teaching: 23 Years
- Research: 26 Years
- Industry: 22 Years
Vandanabhattacherjee
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Academic Profile
Project
Leadership & Institutional Service
Teaching & Mentorship
Current Sponsored Projects
- 1. Title: Development of Machine Learning Algorithms for the Early Diagnosis of Delinquent Behaviour of Juveniles
- Title: Visually Evoked EEG Signal Classification and Perceived Image Regeneration using Deep Learning for Brain Fingerprinting (SPR/2022/000154)
- Title: Development of Metric Suite for Object-Oriented Design
- Title: Non-invasive method for detection and analysis of anemia in pregnant women using deep learning-based model: A Multidisciplinary, Multicentric Study Project id: IIRPSG-2024-01-07199
Intellectual Property Rights (IPR)
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2. Title: Adaptive Multi-Objective Recommendation Using User-Configurable Business Weights in Omni-Channel Digital Retail
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3. Title: A system and method for privacy-preserving risk scoring
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System and Method for optimizing discounts to enhance customer satisfaction and company’s revenue
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Fellowship
| S. No. | Name of scholar | Guidance Status | Title of PhD thesis | Status of research | ||
| 1 | Rupa Mahanti | Co-guide | Simulation and Management of Environmental Pollution in Foundry Industries | Awarded - 2005 | ||
| 2 | Kumar Rajnish | Guide | Metric Validation of Object Oriented Design | Awarded - 2009 | ||
| 3 | Roheet Bhatnagar | Co-guide | Early Stage Software Development Effort Estimation: A Soft- computing approach | Awarded - 2011 | (Sikkim Manipal University) | |
| 4 | Partha Sarathi Bishnu | Guide | Improvisation of Clustering Algorithms in Data Mining | Awarded - 2014 | ||
| 5 | Indrajit Mukherjee | Guide | Data Mining Approaches for Web Information Retrieval and their Performance Analysis | Awarded - 2014 | ||
| 6 | Madhumita Singha neogi | Guide | Framework for a Hybrid Software Development Model | Awarded - 2014 | ||
| 7 | Sanjay Kumar | Guide | Expert System Based Model of Software Cost Estimation | Awarded - 2015 | ||
| 8 | Shubhankar Joardar | Guide | Swarm Intelligence Based Optimization of Manet’s Simulation and Congestion Control | Awarded - 2016 | ||
| 9 | Vinay Singh | Guide | Implementation and Application of Metrics in Assessing Software Quality | Awarded - 2017 | ||
| 10 | Jaya pal | Guide | Development of Soft Computing Models for Engineering Application | Awarded - 2017 | ||
| 11 | Binod Kumar Sharma | Ext Guide | On the study of Automata and Languages based on Fuzzy sets, Fuzzy multisets and Rough sets | Awarded – 2017 | (IIT ISM Dhanbad) | |
| 12 | Charu Wahi | Guide | Secured Routing Protocol for Mobile Ad-Hoc Network | Awarded - 2020 | ||
| 13 | Umang Gupta | Guide | Discovery of Interesting Patterns using Data Mining Techniques | Awarded - 2021 | ||
| 14 | Nandini Kumari | Co-Guide | Visually Evoked EEG Classification and Perceived Image Regeneration Using Deep Learning | Awarded - 2022 | ||
| 15 | Ritesh Jha | Guide | Application of Representation Learning techniques for Predictive Analytics of Healthcare Data | Awarded - 2022 | ||
| 16 | Mansi Gupta | Co-Guide | Machine Learning Techniques for Software fault prediction | Awarded - 2023 | ||
| 17 | Vandana Singh | Co-Guide | Road Traffic Signal Control using AI Techniques | Awarded - 2024 | ||
| 18 | Shubhojeet Paul | Guide | Development of Automatic Speech Recognition System in Nagpuri using Deep Learning Techniques | Awarded – 2025 | ||
| 19 | Subhash Chand Gupta | Guide | Medical Image analysis using deep learning models | Awarded – 2026 | ||
| 20 | Abhishek Kumar | Co-Guide | Developing Novel Algorithms for Supervised and Unsupervised Learning | Ongoing | ||
| 21 | Deepanshu Baghel | C0-Guide | Deep Learning Models for Automated Decision-Making Systems. | Ongoing |