Bulbul Agrawal

About

An accomplished and dedicated academician with expertise in Computer Science & Engineering (CSE) and Information Technology (IT), specializing in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Data Science, Image Processing, and Computer Vision. Holding a Bachelor of Engineering (B.E.) and Master of Technology (M.Tech.) degree, and currently pursuing a Ph.D., with a strong commitment to advancing knowledge through teaching, research, and innovation.
Possessing extensive experience in higher education, academic mentoring, and research, with a passion for fostering analytical thinking and technical excellence among students. Actively engaged in cutting-edge research and scholarly activities, with numerous publications in reputed SCI and Scopus-indexed journals, as well as presentations at national and international conferences.
Research interests encompass Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Image Processing, and Computer Vision, focusing on the development of intelligent systems and advanced computational solutions for real-world applications. Dedicated to exploring emerging technologies and contributing to impactful research that bridges academia and industry.
Recognized as a reviewer for several prestigious SCI and Scopus-indexed journals, contributing to the scientific community through rigorous peer review and the evaluation of high-quality research manuscripts. Experienced in curriculum development, project supervision, research guidance, and interdisciplinary collaboration.
Driven by a passion for innovation, continuous learning, and academic excellence, committed to empowering future professionals, advancing scientific research, and contributing to the technological and societal development through knowledge creation and dissemination.

Employment

• AICTE Assistant Professor
  2025 - Present
• Madhav Institute of Technology & Science, Gwalior Assistant Professor
  2022 - 2024

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (3)

• An Analysis of Different Training Algorithms on Facial Expression Recognition System using Deep Learning
  2025 International Conference on Electrical Communication and Computing Technologies Iconecct 2025 2025 DOI: 10.1109/iCONECCT67014.2025.11470255
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• Interrogating Predictive Models to Augment Student Mental Well-Being Through Machine Learning: An In-Depth Exploratory Expedition
  2024 DOI: 10.1007/978-981-97-0327-2_47
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• Age Estimation and Gender Prediction Using Convolutional Neural Network
  2020 DOI: 10.1007/978-3-030-44758-8_15
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