Stuti Mehla
Reviewer
Affiliation: Panipat Institute of Engineering and Technology
Country: India
Domain of Research: Machine Vision,Intelligent Systems,Artificial Intelligence,Security,Software Engineering and Quality, Ant colony optimization,Artificial Consciousness and Artificial Brain,Artificial Imagination,Artificial Intelligence,Artificial Intuition,Artificial Neural Networks,Big Data,Big data analytics for security,Bioinformatics,Biometrics,Business Intelligence,Cloud Computing,Collaborative Learning,Computational Intelligence,Computer Vision,Data Retrieval and Data Mining,Data Science,Databases,Decision Support Systems,Dynamic programming,Evolutionary Algorithms,Evolutionary Computing,Fuzzy Logic,Genetic Algorithms,Green Computing,Health care Systems,Image Processing,Image Processing and Analysis,Information Retrieval,Information Theory,Intelligent Systems,Knowledge Engineering and Mining,Machine Learning,Machine Perception,Machine Vision,Neural Networks,Neuro-Fuzzy Systems,Pattern Recognition,Perception and Learning,Pervasive Computing,Quantum Computing,Sentiment Analysis,Simulation,Social Computing,Soft Computing,Supervised and Unsupervised Learning,Support Vector Machines,Swarm Intelligence
Biography
Dr. Stuti Mehla is an Associate Professor in the Computer Science and Engineering department at PIET. With a robust academic foundation, she earned her B.Tech. and M.Tech. from Kurukshetra University and her Ph.D. in CSE from Maharishi Markandeshwar University, Mullana in 2022. She also enhanced her qualifications by qualifying the prestigious GATE examination in 2011. Boasting over a decade of experience, Dr. Mehla has established a strong research profile, having published more than 30 articles in esteemed international journals and presented her work at numerous conferences. Her research expertise lies in the cutting-edge domains of Artificial Intelligence, Machine Learning, Data Science, and Recommendation Systems. She is an active contributor to the global professional community, holding memberships in both the IEEE and the ACM. Her research can be explored further via her ORCID: 0000-0003-0220-8860.