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SRI NASIM ANJUM HOQUE

ASSISTANT PROFESSOR

About

11-07-2022

CSD

479798

B+

ISLAM

1-366563350

07-06-2016

Qualifications

Educational Qualifications
  • M.E.
  • University Institute OF Technology (B.U) - 2014
  • B.Tech
  • Seacom Engineering College - 2011
  • Higher Secondary
  • Burdwan C.M.S. High school - 2007
  • Madhyamik
  • Burdwan C.M.S. High school - 2005
Teaching and R & D experience
Teaching Research Industry
94 18 12

Promotions

Publications

Journal
Date Title Journal DOI Link
16-09-2025 Machine Learning-Driven Personalized Medicine: Enhancing Cancer Type Identification for Precision Oncology. INDIAN JOURNAL OF TECHNICAL EDUCATION DOI View
10-10-2020 Survey of Disaster Recovery System in the Context of Big Data International Journal of Engineering for Computer Science and Application (IJECSA) DOI View
10-10-2020 Conceptual Approach of Big Data Security International Journal of Engineering for Computer Science and Application (IJECSA) DOI View
Conference
Date Title Conference DOI Link
09-10-2025 Application of Virtual Reality And Augmented Reality for Developing Educational Model International Conference on Computing, Intelligence, and Application (CIACON) DOI View

Participations

Committee Name Start Date End Date
DEPARTMENTAL ACADEMIC COMMITTEE 01-07-2025 03-06-2026
CSD TRAINING & PALCEMENT COMMITTEE 15-07-2023 03-06-2026
CSD BUDGET COMMITTEE 16-01-2023 03-06-2026

Patents

Title Patent Number Patent Office Date Status Country Application No. Abstract Expiration Date
System and method for English Alphabet identification with Augmented Image and Sound 202431047266 Kolkata 28-06-2024 Published India 202431047266 Disclosed herein is a smartphone implementable system and method for English Alphabet identification. The system comprises: a camera, an augmented reality (AR) core engine having embedded therein an AR model, a display, and a speaker. The camera is used for capturing English Alphabets as inputs, wherein each alphabet is indicative of a marker for augmentation. The AR model is configured to generate a 3-D model view corresponding to each marker. The display is configured to deliver the generated 3-D model view. The speaker is configured to generate sound corresponding to name of the generated 3-D model view. The system enhances the traditional methods of learning the English alphabet through the integration of augmented reality, image recognition, and sound augmentation. 28-06-2054

Projects

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