I am a passionate lecturer in the Computer Science and Engineering (CSE) department and I believe that education should bridge the gap between academic knowledge and real-world applications. My teaching methodology emphasizes hands-on learning, encouraging students to engage with projects, practical coding, and problem-solving activities. By fostering an environment of curiosity and creativity, I aim to empower students to take ownership of their learning.

B.Sc in Computer Science and Engineering from Rangamati Science & Technology University (RMSTU). M.Sc in Computer Science and Engineering (Pursuing) at Chittagong University of Engineering & Technology(CUET).

My teaching expertise is as follows:
• Artificial Intelligence
• Image Processing
• Structured Programming
• Data Structure
• Discrete Math
• Machine Learning etc.

My research interests are as follows:
• Artificial Intelligence
• AI in Healthcare
• Machine Learning
• Natural Language Processing
• AI and IoT in Agriculture
• Image Processing
• Bioinformatics.

Some of my project works are as follows:
Python Project
• Crop Yield Prediction using Genetic Algorithm and Machine Learning.
• Bengali Character and Numbers Recognition System using CNN-BiLSTM.
• Emotion, Age, and Gender Recognition using Deep Learning
Others project
• Payroll Management System Using Java and DBMS.
• A chatbot system in a food website for users using Javascript.
• Website for food delivery system using PHP, JS, HTML5, CSS.

Some of my awards are as follows:
• 19th Position in the Divisional Science Olympiad Organized by Bangladesh Academy of Science (BAS)), Bangladesh.
• Certified for successful compilation of the Workshop on Machine Learning Organized by the Dept. of Computer Science and Engineering at Rangamati Science and Technology University.
• Completed Python Programming successfully, Certified by Udemy.
• Completed MYSQL successfully, Certified by Skillzcafe.
• Certificate of Participation in the International Conference on Innovations in Cybersecurity and Data Science (ICICDS-2024)
• Certificate of Participation in International Conference on Electrical, Computer and Energy Technologies (ICECET)

The list of my publications is as follows:
Journal Articles:
• Bengali Handwritten Equation Solving System. Published in Journal of King Saud University - Computer and Information Sciences, Impact Factor: 6.9; Journal – Q1.
• Head Features-Based Deep Learning Approach for Recognizing Emotion, Gender, and Age published in Journal of Information Hiding and Multimedia Signal Processing, Journal – Q3[Scopus indexed].
• CNN-Based Real-Time Drowsy Driver Detection for Accident Prevention. Published in Journal of Telkomnika (Telecommunication Computing Electronics and Control), Journal – Q2 [Scopus indexed].
Conference Proceedings:
• Emotion, Age, and Gender Recognition using SURF, BRISK, M-SVM, and Modified CNN. In International Conference on Electrical, Computer and Energy Technologies (ICECET).
• Machine Learning-driven Job Recommendations: Harnessing Genetic Algorithms. In International Congress on Information and Communication Technology (ICICT 2024).
• IoT-based Precision Agriculture Monitoring System: Enhancing Agricultural Efficiency. In the Second International Conference on Inventive Computing and Informatics [ICICI 2024]
• A Deep Learning Approach for Recognizing COVID-19 from Chest X-ray using Modified CNN-BiLSTM with M-SVM. In International Conference on Electrical, Computer and Energy Technologies (ICECET).
Kindly visit this site to see more publications in detail:
https://www.researchgate.net/profile/Nippon-Datta-2/research.