Dr. Vishal Sharma did his postdoctoral research fellowship at Harvard Opthalmology AI Lab. He holds PhD and MSc in Computer Science from Utah State University and B.Tech in Computer Science & Engineering from SRM University, India. His academic research is multidisciplinary in computer science. During his tenure of about five years in the industry, he has worked at Intel, Micron (ImFlash), McAfee, Tata and InMoment.

• The Metadata Impedance Mismatch between Databases and Programming Languages
  Vishal Sharma, Curtis Dyreson
  ACM CIKM Conference on Information and Knowledge Management, 2025
  
• Reproducibility Report for ACM SIGMOD 2024 Paper:'Temporal JSON Keyword Search'
  Chenhao Ma, Junchang Wang, Curtis Dyreson, Amani Shatnawi, Sourav S Bhowmick, Vishal Sharma
  Reproducibility Reports of the 2024 International Conference on Management of Data, 2025
  
• Temporal JSON Keyword Search
  Curtis Dyreson, Amani Shatnawi, Sourav S Bhowmick, Vishal Sharma
  ACM SIGMOD/PODS International Conference on Management of Data, 2024
  
• Artifact-Tolerant Clustering-Guided Contrastive Embedding Learning for Ophthalmic Images in Glaucoma
  Min Shi, Anagha Lokhande, Mojtaba S Fazli, Vishal Sharma, Yu Tian, Yan Luo, Louis R Pasquale, Tobias Elze, Michael V Boland, Nazlee Zebardast, David S Friedman, Lucy Q Shen, Mengyu Wang
  IEEE Journal of Biomedical and Health Informatics, 2023
  
• Indexer++: Workload-Aware Online Index Tuning with Transformers and Reinforcement Learning
  Vishal Sharma, Curtis Dyreson
  37^th ACM/SIGAPP Symposium on Applied Computing (SAC), 2022
  ☆ We formulate the problem of online DB index tuning with RL and pretrained transformers
• Popularity versus Quality: Analyzing and Predicting the Success of Highly Rated Crowdfunded Projects on Amazon
  Vishal Sharma, Kyumin Lee, Curtis Dyreson
  Springer Computing, 2021
  
• MANTIS: Multiple Type and Attribute Index Selection using Deep Reinforcement Learning
  Vishal Sharma, Curtis Dyreson, Nicholas Flann
  25^thACM International Database Engineering & Applications Symposium (IDEAS), 2021
  
• COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach
  Vishal Sharma, Curtis Dyreson
  19^thIEEE International Conference on Machine Learning and Applications (ICMLA), 2020
  
• Automating and Analyzing Whole-Farm Carbon Models
  Aditi Maheshwari, Curtis Dyreson, Jennifer Reeve, Vishal Sharma, Anthony Whaley
  7^th IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2020
  
• LINKSOCIAL: Linking User Profiles Across Multiple Social Media Platforms
  Vishal Sharma, Curtis Dyreson
  8^th IEEE International Conference on Big Knowledge (ICBK), 2018
  
• Predicting Highly Rated Crowdfunded Products
  Vishal Sharma, Kyumin Lee
  10^th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
  
• Recommending Prime Spots of a Destination and Time to Visit From Geo-Tagged Social Data
  Vishal Sharma, Kyumin Lee, Jinwook Chung
  10^th IEEE International Conference on Collaborative Computing (CollaborateCom), 2014
  
• Supporting data aspects in pig latin
  Curtis Dyreson, Omar U Florez, Akshay Thakre, Vishal Sharma
  12^th ACM International Conference on Aspect-Oriented Software Development (AOSD), 2013
  

• A Deep Autoencoder Model to Denoise Visual Fields in Glaucoma
  Vishal Sharma, Lucy Q Shen, Louis Pasquale, Tobias Elze, Michael V Boland, Sarah R Wellik, Gustavo De Moraes, Jonathan S Myers, Siamak Yousefi, Mengyu Wang
  Investigative Ophthalmology & Visual Science (ARVO), 2022
  
• Speaker Diarization: Using Recurrent Neural Networks
  Vishal Sharma, Zekun Zhang, Zachary Neubert, Curtis Dyreson
  arXiv preprint arXiv:2006.05596, 2020
  ☆ In 2017, we formulate the problem of speaker diarization with deep learning