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Office Location

440 Huntington Avenue
310 West Village H
Boston, MA  02115

Biography

Aditeya Pandey is a PhD student studying information visualization and visual analytics at Northeastern University’s College of Computer and Information Science, advised by Professor Michelle Borkin. Aditeya is currently working on the development of network visualization interface to look at vascular arteries (brain arteries) for detection of cerebrovascular diseases like stroke. He is interested in the visualization and analysis of hierarchical and network datasets, developing visual analytics tools for insight discovery in data science, and quantitative – qualitative evaluation of visualization interfaces.

Education

  • B.Tech (equivalent of a BS in US) in Computer Science and Engineering, KIIT University – India.

About Me

  • Hometown: New Delhi, India
  • Field of Study: Information Visualization and Visual Analytics
  • PhD Advisor: Michelle Borkin

What are the specifics of your graduate education (thus far)?

My graduate experience at Northeastern has been fantastic so far. Northeastern offers a full gamut of courses in the Computer Science program, which ensure holistic skill set development of students. I have taken classes ranging from Machine Learning to Cloud Computing and in the process gained a better understanding of how interdisciplinary fields are even within the different areas of computer science. In my knowledge, Northeastern is the only school which offers two different courses in Information Visualization, a broad level visualization course and a special topics course on Network Visualization, which helped me find my niche interest in the field of Information Visualization. Northeastern also promotes interdisciplinary research; my last two projects were in collaboration with the Department of Psychology and School of Journalism.

What are your research interests?

My current research interests include visualization and analysis of hierarchical and network datasets, developing visual analytics tools for insight discovery in data science, and quantitative – qualitative evaluation of visualization interfaces.

What’s one problem you’d like to solve with your research/work?

It is a hard question to answer because with every project you effectively solve some smaller problems. I would feel accomplished if I can apply my research and build something which is not only novel but also a final product that can be made available for use to the larger audience.

What aspect of what you do is most interesting?

Information visualization offers amazing opportunities to work in a collaborative research environment and thus opens up multiple avenues to publish your research. It is a unique and rare field which synthesizes art and science to produce interesting visualizations which have amazing informative and artistic value.

What are your research or career goals, going forward?

I would like to work in an industry research lab with close academic collaborators. I also intend to expand the information visualization research community in my home country, India.

Where did you grow up or spend your most defining years?

I spent most of my childhood in New Delhi, India. I completed college from Bhubaneswar, Odisha which gave me an opportunity to interact and mingle with different people from all the amazing communities and cultures of India.