

Aristotelis Sigiouan Leventidis


Aristotelis Sigiouan Leventidis is a PhD student at Northeastern studying Data Science and Data Visualization, advised by Professors Mirek Riedwald and Cody Dunne. He has a BS in Physics and Computer Science from the University of Michigan, Ann Arbor. He is interested in using novel techniques to mine large data sets and develop anomaly detection methods, as well as developing data visualization methods to make said data more understandable; he is also excited by the interdisciplinary work that comes with mining real-world data.
I am an incoming 1st year PhD student that will be under the supervision of Professor Mirek Riedewald in the Data Lab and Professor Cody Dunne in the Data Visualization group.
My research interests lie in the intersection of developing novel methods to mine large datasets and constructing appropriate visualization methods to help understand them. During my undergraduate research experience, I realized that making sense of large, highly dimensional datasets can be very challenging without proper visualization, which led me to also want to explore visualization techniques for large datasets.
I would like to develop efficient anomaly detection methods for a variety of datasets such as social networks and brain scans. With these methods I want to construct an application that can aid field experts to quickly pinpoint unusual data in their large datasets.
One interesting aspect of doing research in data mining is the large variety of researchers I could collaborate with. When analyzing brain scan data we collaborate with medical researchers, when analyzing social network data we collaborate with social scientists and network scientists. Collaborating with researchers from different fields broadens my knowledge of other fields and exposes me to new ways of conducting research.
Currently I am focused on learning more about my field and producing high quality research. In the future I would like to continue doing research either in academia or in industry.
I grew up in Greece. I went to the University of Michigan for my undergraduate studies.
Aristotelis Sigiouan Leventidis is a PhD student at Northeastern studying Data Science and Data Visualization, advised by Professors Mirek Riedwald and Cody Dunne. He has a BS in Physics and Computer Science from the University of Michigan, Ann Arbor. He is interested in using novel techniques to mine large data sets and develop anomaly detection methods, as well as developing data visualization methods to make said data more understandable; he is also excited by the interdisciplinary work that comes with mining real-world data.
I am an incoming 1st year PhD student that will be under the supervision of Professor Mirek Riedewald in the Data Lab and Professor Cody Dunne in the Data Visualization group.
My research interests lie in the intersection of developing novel methods to mine large datasets and constructing appropriate visualization methods to help understand them. During my undergraduate research experience, I realized that making sense of large, highly dimensional datasets can be very challenging without proper visualization, which led me to also want to explore visualization techniques for large datasets.
I would like to develop efficient anomaly detection methods for a variety of datasets such as social networks and brain scans. With these methods I want to construct an application that can aid field experts to quickly pinpoint unusual data in their large datasets.
One interesting aspect of doing research in data mining is the large variety of researchers I could collaborate with. When analyzing brain scan data we collaborate with medical researchers, when analyzing social network data we collaborate with social scientists and network scientists. Collaborating with researchers from different fields broadens my knowledge of other fields and exposes me to new ways of conducting research.
Currently I am focused on learning more about my field and producing high quality research. In the future I would like to continue doing research either in academia or in industry.
I grew up in Greece. I went to the University of Michigan for my undergraduate studies.