Vasuda Trehan
PhD Candidate/ MS/Btech, University at Albany, SUNY
Faculty Expertise and Achievement
Vasuda Trehan is an adjunct faculty member who holds a master’s in computer science and is a PhD Candidate in Information Science at the University at Albany, SUNY. She possesses a solid foundation in artificial intelligence, data analytics, Bayesian data analysis, data mining, and machine learning. She also has a strong background in statistical analysis, programming, and data visualization. Her research focuses on developing a multidimensional model using Machine learning and AI algorithms to predict atmospheric absorption spectra. She has over six years of industry experience as a software developer and full-stack developer. Her research focuses on developing a multidimensional model using Machine learning and AI algorithms to predict atmospheric absorption spectra.
Research Interests
AI, Machine Learning, Bayesian Data Analysis, Data Science, Data Mining, Spatial Analysis, Space Technology, Emerging Technologies (AR, VR, XR, MR, etc.), and Big Data Analysis
Research Websites
Teaching Interests and Areas
- BITM 522 – Managing Information Tech
- BITM 604 – Database and Business Intelligence
- CINF 201- Introduction to Web Technologies
- CINF 362- Intermediate Interactive Design
Professional Service
- Reviewer, International Journal of Reliable and Quality E-Healthcare (IJRQEH)
- Reviewer, International Journal of Artificial Intelligence and Machine Learning (IJAIML)
- Reviewer, International Journal of E-Health and Medical Communications (IJEHMC)
Connect: LinkedIn