News featuring Chandan Reddy

DAC has strong presence at ICDM 2017

DAC Ph.D. student, Zhiqian Chen, presenting his paper at ICDM 2017.

The Discovery Analytics Center was strongly represented at the IEEE International Conference on Data Mining (ICDM) in New Orleans, Nov. 18-21, with a number of accepted research papers by DAC faculty and students and DAC faculty serving on committees and panels.

Research papers accepted for the conference include:

DAC faculty participation in the ICDM Conference included Chang-Tien Lu serving on the program committee and Naren Ramakrishnan serving as an area chair. Ramakrishnan also co-chaired a panel focusing on ethical and professional issues when dealing with social data with Tanushree (Tanu) Mitra, assistant professor of computer science, as one of the panelists. B. Aditya Prakash was invited to participate as a mentor in the ICDM Ph.D. Forum.

The ICDM has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences. The conference covers all aspects of data mining, including algorithms, software and systems, and applications. ICDM draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems, and high-performance computing. By promoting novel, high quality research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state-of-the-art in data mining. Besides the technical program, the conference features workshops, tutorials, panels.

 

 

 

 


Chandan Reddy receives grant from NSF

user_interest_model[1]Congratulations to Chandan Reddy, our new DAC faculty member and associate professor of computer science for receiving an award from the National Science Foundation for his project EAGER: An Integrated Predictive Modeling Framework for Crowdfunding Environments.  

EAGER aims to study data analytics tools for improving crowdfunding project success rate. Crowdfunding provides seed capital for start-up companies, creating job opportunities and reviving lost business ventures. In spite of the widespread popularity and innovativeness in the concept of crowdfunding, however, many projects are still not able to succeed. A deeper understanding of the factors affecting investment decisions will not only give better success rate to the future projects but will also provide appropriate guidelines for project creators who will be seeking funding.  Click here to read more about Chandan’s project.


DAC welcomes new faculty member, Chandan Reddy

reddy1-updatedDAC welcomes our new faculty member, Chandan Reddy, who was appointed to associate professor in the Department of Computer Science.  Chandan is joining us from Wayne State University where he was the director of the Data Mining and Knowledge Discovery (DMKD) Laboratory.  His primary research interests are data mining and machine learning with applications to healthcare analytics, social network analysis and bioinformatics.  Chandan is joined by two Ph.D. students, Ping Wang and Tian Shi.  Click here to learn more about Chandan.