Hyperbolic Networks:
Theory, Architectures and Applications

Tutorial @ SIGKDD 2022 · August 14, 2022 . Washington D.C., USA ·
Code Library: GraphZoo: Facilitating learning, using, and designing graph processing pipelines

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Nurendra Choudhary Chandan Reddy

Nurendra Choudhary

Ph.D. student, Virginia Tech

Nurendra Choudhary is a Ph.D. student in the department of Computer Science at Virginia Tech. His research, under advisor Dr. Chandan Reddy, is focused on representation learning in the fields of graph analysis and product search. He has published several peer- reviewed papers in top-tier conferences including WWW, NeurIPS, WSDM, and COLING. He has received his M.S. in Computational Linguistics from International Institute of Information Technology, during which he received the Best Paper Award at CICLING, 2018.



Nikhil Rao Chandan Reddy

Nikhil Rao

Senior Scientist, Amazon

Nikhil Rao is a senior scientist at Amazon where he works on large scale graph modeling and algorithms to improve Amazon Search. Prior to joining Amazon, he was a researcher at Technicolor AI Labs in Palo Alto. Nikhil's research interests and expertise span large scale optimization, data modeling and mining, and developing algorithms that take advantage of structure present in the data. Nikhil has published several papers in top-tier conferences and journals. He is the recipient of the ICES Post Doctoral Fellowship award from UT Austin, and the IEEE Best Student Paper award. He holds a PhD in Electrical and Computer Engineering from UW Madison.

Karthik Subbian Chandan Reddy

Karthik Subbian

Principal Scientist, Amazon

Karthik Subbian is a principal scientist at Amazon with more than 17 years of industry experience. He leads a team of scientists and engineers to improve search quality and trust. He was a research scientist and lead at Facebook, before coming to Amazon, where he had led a team of scientists and engineers to explore information propagation and user modeling problems using the social network structure and its interactions. Earlier to that, he was working at IBM T.J. Watson research center in the Business Analytics and Mathe- matical Sciences division. His areas of expertise include machine learning, information retrieval, and large-scale network analysis. More specifically, semi-supervised and supervised learning in networks, personalization and recommendation, information diffusion, and representation learning. He holds a masters degree from the Indian Institute of Science (IISc) and a Ph.D. from the University of Minnesota, both in computer science. Karthik has won numerous prestigious awards, including the IBM Ph.D. fellowship, best paper award at SIAM Data Mining (SDM) conference 2013, and INFORMS Edelman laureate award 2013.

Srinivasan H. Sengamedu Chandan Reddy

Srinivasan H. Sengamedu

Senior Machine Learning Manager, Amazon

Srinivasan H. Sengamedu is a Senior Machine Learning Manager at Amazon where he currently works on analysis of software using machine learning. The techniques are used in Amazon CodeGuru Reviewer. He has earlier worked on several applications of machine learning such as fake reviews, ranking problems, online advertising, information extraction, and comment spam. He has published on these topics in top-tier conferences. He holds a PhD from Indian Institute of Science.



Chandan Reddy Chandan Reddy

Chandan Reddy

Professor, Department of Computer Science, Virginia Tech

Chandan Reddy received his Ph.D. from Cornell University and M.S. from Michigan State University. His primary research interests are Data Mining and Machine Learning with applications to Healthcare Analytics and Social Network Analysis. His research has been funded by NSF, NIH, DOE, DOT, and various industries. He has published over 140 peer-reviewed articles in leading conferences and journals. He received several awards for his research work including the Best Application Paper Award at ACM SIGKDD conference in 2010, Best Poster Award at IEEE VAST conference in 2014, Best Student Paper Award at IEEE ICDM conference in 2016, and was a finalist of the INFORMS Franz Edelman Award Competition in 2011. He is serving on the editorial boards of ACM TKDD, ACM TIST, and IEEE Big Data journals. He is a senior member of the IEEE and distinguished member of the ACM.