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Ms. Ruchi Banerjee
Assistant Professor
🎓 Ph.D. Scholar in Computer Science from Janardanrai Nagar Vidhyapeeth University, MCA from The IIS University, BCA from Mohanlal Sukhadia University
⏱️ 7 year Experience
✉️ bose.ruchi13@gmail.com
Specialization: Computer Science and Engineering; Artificial Intelligence; Machine Learning; Deep Learning; Data Warehousing and Data Mining; Compiler Design; Linux and Shell Programming, Deep learning for medical image analysis; skin cancer detection; dermoscopic image classification; attention-based CNN architectures; hybrid feature fusion; explainable AI in healthcare; data mining and machine learning applications
Academic Achievements
Research & Publications
Affiliations & Engagements
Awards & Honours

Bio

Ruchi Banerjee is an Assistant Professor in Computer Science with teaching, academic coordination, and research experience. She is pursuing Ph.D. research in skin cancer detection using deep learning algorithms, with a focus on hybrid CNN architectures, attention mechanisms, handcrafted feature fusion, and explainable output for trustworthy medical image classification. She has contributed to curriculum development, examination work, event organization, and student mentoring in core computer science subjects.

Additional Administrative Titles

Department Coordinator of CDOE; Event Organizer; Academic and Practical Examination Coordination; BOS / NAAC Documentation Support

Academic Degrees

  • Ph.D. Scholar in Computer Science from Janardanrai Nagar Vidhyapeeth University, Udaipur
  • MCA from The IIS University
  • BCA from Mohanlal Sukhadia University, Udaipur

Academic Appointments

  • Aug 2014 - Dec 2016 : Assistant Professor, Vision School of Management, Chittorgarh.
  • Aug 2021 - Feb 2024 : Assistant Professor, Shreenathji Institute of Biotecnology & Management
  • Mar, 2024- Mar, 2025: Assistant Professor, School of Computer and System Sciences, Jaipur National University, Jaipur
  • Mar, 2025- Till: Assistant Professor, Vivekanand Global University, Jaipur

Professional Experience

Total academic/professional experience: Approximately 6.7 yearsTeaching and academic coordination experience in Computer Science subjects including Compiler Design, Data Warehousing and Data Mining, Linux and Shell Programming, Web Technology, DBMS, Data Structures, and Web Technology areas.

Courses Taught

BCA / MCA / Computer Science Courses:Compiler DesignData Warehousing and Data MiningLinux and Shell ProgrammingOperating SystemsArtificial Intelligence DBMSData Structures and AlgorithmsWeb TechnologyComputer GraphicsInformation and Network Security

Teaching

Teaching interests include Artificial Intelligence, Machine Learning, Data Warehousing and Data Mining, Compiler Design, Operating Systems, Linux and Shell Programming, DBMS, Data Structures, Web Technology, Computer Graphics, and Information & Network Security.

Research Interests

Deep learning for medical image analysis; skin cancer detection; dermoscopic image classification; attention-based CNN architectures; hybrid feature fusion; explainable AI in healthcare; data mining and machine learning applications

Publications

Research manuscripts related to hybrid deep learning frameworks for automated and trustworthy skin cancer detection are under preparation/submission.

Conferences, Talks & Speaking Engagements

Academic presentations and speaking engagements related to teaching-learning, computer science subjects, AI/ML applications, research methodology, and institutional academic activities.Specific conference/talk details to be updated as per official records.

Affiliations

Assistant Professor, Vivekanand Global University, JaipurAcademic event organizer and CDOE coordinator

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Quick Info
🏛️ Department
Department of Computer Science and Applications
🎓 Qualification
Ph.D. Scholar in Computer Science from Janardanrai Nagar Vidhyapeeth University, MCA from The IIS University, BCA from Mohanlal Sukhadia University
⏱️ Experience
7 year
🔬 Specialization
Computer Science and Engineering; Artificial Intelligence; Machine Learning; Deep Learning; Data Warehousing and Data Mining; Compiler Design; Linux and Shell Programming, Deep learning for medical image analysis; skin cancer detection; dermoscopic image classification; attention-based CNN architectures; hybrid feature fusion; explainable AI in healthcare; data mining and machine learning applications
✉️ Email
bose.ruchi13@gmail.com
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