Aanchal Vij
Assistant Professor | Computer Science & Engineering
Exploring the intersection of Artificial Intelligence, Machine Learning and Healthcare through research, innovation and technology-driven education.
About Me
I am an Assistant Professor in the Department of Computer Science and Engineering at IILM University, with over eight years of academic teaching experience. My academic interests span Artificial Intelligence, Machine Learning, Deep Learning and Medical Image Processing. My doctoral research focuses on the early prediction of lung cancer using soft computing and intelligent computational approaches. My PhD thesis has been submitted at Galgotias University.
Research Interests
My research focuses on developing intelligent, efficient and application-oriented computational models.
Healthcare AI
AI-driven healthcare applications and intelligent medical decision-support systems.
Medical Image Processing
CT image analysis, lung cancer classification and computer-aided diagnosis.
Deep Learning
CNN architectures, attention mechanisms, Transformers and hybrid learning models.
Soft Computing
Optimization algorithms, feature selection and intelligent machine learning frameworks.
Teaching & Academic Engagement
Committed to outcome-based education, practical learning, research mentoring and curriculum development.
Data Mining & Warehousing
Course coordination, Python-based practicals, data analytics and database concepts.
Theory of Computation
Formal languages, automata theory, computational models and complexity.
Image Processing
Image enhancement, analysis, computer vision and related applications.
Publications & Research
My scholarly contributions include research publications in Artificial Intelligence, Machine Learning, Medical Image Analysis and emerging technologies.
Research Publications
Explore my journal articles and conference publications through my Google Scholar profile.
Google Scholar →Let's Connect
Open to academic collaborations, research discussions, interdisciplinary projects and knowledge-sharing opportunities.