Sagar Adhikari, PhD

Clemson University, Clemson, SC, USA

I research black holes, AGNs using multiwavelength observations, Statistical models, and Machine Learning.

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Area Of Expertise

Black holes: My research is focused on the Supermassive blackholes in the center of galaxies.

Computational tools: I am skilled in the use of computational tools and mathematical models to analyze data and develop theories that help to deepen our understanding of the AGNs.

Data Science & Machine Learning: I utilize modern ML algorithms, models to analyze multitude of data and develop/test theories that help to deepen our understanding of the AGNs. Visit my “Projects” tab.

Current Research Focus

AGNs: I am currently conducting research on the long-term variability on the multiwavelength Blazar emission to constrain the binary SMBH models.

Impact of gaps in the periodicity analysis: I am interested in exploring the impact of gaps in a light curve in the periodicity analysis. Specifically, I am studying the detection of false periods in a random timeseries data when various amount of gaps are introduced randomly.