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Faculty Directory Aparajita Mukherjee
Aparajita Mukherjee

Aparajita Mukherjee

Assistant Professor

[email protected]
Vidwan Profile Google Scholar

Academic Information

PhD (Pursuing)

Research Areas

AI ML Deep Learning

Research Interests

My research interest focuses on Artificial Intelligence, Machine Learning, and Deep Learning, with an emphasis on developing robust, interpretable, and data-efficient models for real-world applications. I am particularly interested in deep neural architectures, hybrid learning frameworks, and optimization techniques that enhance accuracy, generalization, and scalability. My work aims to apply AI and ML methods to pattern recognition, computer vision, and intelligent decision-making systems, while addressing challenges such as limited data, model explainability and computational efficiency. I seek to contribute to advancing reliable and ethical AI-driven solutions across diverse domains.

Courses Taught

AIML, NLP, Compiler Design, Formal Language and Automata Theory, DBMS, OS and many more.

Positions Held

Assistant Professor at UEM Kolkata,
Assistant Professor at Brainware Group of Institutions, Sabita Debi Education Trust

Publications

1. An examination of machine learning techniques for automating and optimizing VLSI design 2. Predictive HR Analytics to Optimize Decision-Making Processes and Enhance Workforce Performance 3. A Comprehensive Study to Build Immersive Virtual Reality-Powered Language Learning 4. Development of Task-Based Robots for Artificially Intelligent Farm Systems 5. A Scalable Quantum Non-Local Neural Network Framework for Influential Node Detection in Social Networks 6. Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with Artificial Hummingbird Algorithm for Social Media Content Classification and Community Detection 7. Deep Learning for Predictive Maintenance in Power Systems 8. Wareless Sensor Networks (WSNs) integrated Machine Learning Algorithms for Water Resource Management 9. Advanced Deep Learning Approaches for Early Detection of Diabetic Retinopathy in Retinal Images 10. Machine Learning and Artificial Intelligence for Detecting Cyber Security Threats in IoT Environment