World's Best Scientists 2026 revealed!
Chandan K. Reddy

Chandan K. Reddy

D-Index & Metrics

Computer Science

D-Index
46
Citations
9264
World Ranking
6818
National Ranking
2996

Research.com Recognitions

  • 2019 - ACM Distinguished Member
  • 2018 - IEEE Fellow For leadership in simulation methods for antenna placement and co-site analysis

Overview

Chandan K. Reddy is affiliated with Virginia Tech in the United States and is a researcher primarily focused on computer science. Their work encompasses a broad range of topics within artificial intelligence and related subfields.

Their research contributions span several subfields of study including:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Cognitive Neuroscience

Key areas of interest and main topics covered in their work include:

  • Topic Modeling
  • Machine Learning in Healthcare
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Advanced Graph Neural Networks
  • Software Engineering Research
  • Advanced Text Analysis Techniques

They have published extensively with a total of 191 publications in computer science and frequent contributions to certain venues such as:

  • arXiv (Cornell University), with 63 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, with 6 publications
  • ACM Transactions on Knowledge Discovery from Data, with 5 publications
  • Scientific Reports, with 2 publications
  • IEEE Transactions on Knowledge and Data Engineering, with 2 publications

Among their recent papers are the following:

  • "Differentially private synthetic medical data generation using convolutional GANs," 2021, Information Sciences
  • "Neural Abstractive Text Summarization with Sequence-to-Sequence Models," 2021, ACM/IMS Transactions on Data Science
  • "MedFuseNet: An attention-based multimodal deep learning model for visual question answering in the medical domain," 2021, Scientific Reports
  • "Dnsmos P.835: A Non-Intrusive Perceptual Objective Speech Quality Metric to Evaluate Noise Suppressors," 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-Series," 2022, ACM Transactions on Knowledge Discovery from Data

Frequent collaborators include:

  • Sindhu Tipirneni
  • Nurendra Choudhary
  • Ping Wang
  • Ross Cutler
  • Akshita Jha

Chandan K. Reddy has been recognized by professional organizations with awards such as:

  • ACM Distinguished Member, 2019
  • IEEE Fellow, 2018, for leadership in simulation methods for antenna placement and co-site analysis

Best Publications

  • Data Clustering: Algorithms and Applications

    Charu C. Aggarwal;Chandan K. Reddy

  • Machine Learning for Survival Analysis: A Survey

    Ping Wang;Yan Li;Chandan K. Reddy

  • A survey on platforms for big data analytics

    Dilpreet Singh;Chandan K Reddy

  • Mobile face capture and image processing system and method

    Frank Biocca;Jannick Rolland;George Stockman;Chandan Reddy

  • UTOPIAN: User-Driven Topic Modeling Based on Interactive Nonnegative Matrix Factorization

    Jaegul Choo;Changhyun Lee;Chandan K. Reddy;Haesun Park

  • Neural Abstractive Text Summarization with Sequence-to-Sequence Models

    Tian Shi;Yaser Keneshloo;Naren Ramakrishnan;Chandan K. Reddy

  • Big data analytics for healthcare

    Jimeng Sun;Chandan K. Reddy

  • Deep Reinforcement Learning for Sequence-to-Sequence Models

    Yaser Keneshloo;Tian Shi;Naren Ramakrishnan;Chandan K. Reddy

  • Short-Text Topic Modeling via Non-negative Matrix Factorization Enriched with Local Word-Context Correlations

    Tian Shi;Kyeongpil Kang;Jaegul Choo;Chandan K. Reddy

  • A Survey of Partitional and Hierarchical Clustering Algorithms

    Chandan K. Reddy;Bhanukiran Vinzamuri

  • A Multi-Task Learning Formulation for Survival Analysis

    Yan Li;Jie Wang;Jieping Ye;Chandan K. Reddy

  • Survival Analysis based Framework for Early Prediction of Student Dropouts

    Sattar Ameri;Mahtab J. Fard;Ratna B. Chinnam;Chandan K. Reddy

  • Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data

    Sina Dabiri;Chang-Tien Lu;Kevin Heaslip;Chandan K. Reddy

  • Scalable and Parallel Boosting with MapReduce

    Indranil Palit;Chandan K. Reddy

  • Project Success Prediction in Crowdfunding Environments

    Yan Li;Vineeth Rakesh;Chandan K. Reddy

  • Transfer learning for class imbalance problems with inadequate data

    Samir Al-Stouhi;Chandan K. Reddy

  • Differentially Private Synthetic Medical Data Generation using Convolutional GANs

    Amirsina Torfi;Edward A. Fox;Chandan K. Reddy

  • A probabilistic model for predicting the probability of no-show in hospital appointments

    Adel Alaeddini;Kai Yang;Chandan Reddy;Susan Yu

  • Healthcare Data Analytics

    Chandan K. Reddy;Charu C. Aggarwal

  • Optimizing debt collections using constrained reinforcement learning

    Naoki Abe;Prem Melville;Cezar Pendus;Chandan K. Reddy

  • A distributed ensemble approach for mining healthcare data under privacy constraints

    Yan Li;Changxin Bai;Chandan K. Reddy

  • Clinical Decision Support Systems

    Martin Alther;Chandan K. Reddy

Frequent Co-Authors

Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Jaegul Choo
Jaegul Choo Korea Advanced Institute of Science and Technology
Hsiao-Dong Chiang
Hsiao-Dong Chiang Cornell University
Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Haesun Park
Haesun Park Georgia Institute of Technology
Naoki Abe
Naoki Abe IBM (United States)
Jannick P. Rolland
Jannick P. Rolland University of Rochester
Frank Biocca
Frank Biocca New Jersey Institute of Technology
Edward A. Fox
Edward A. Fox Virginia Tech
Chang-Tien Lu
Chang-Tien Lu Virginia Tech

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