- Area(s) of Expertise
- Research Area(s)
Social Media
Biography
With a broad interest in the academic field of artificial intelligence and data science, Karmaker’s primary focus lies at the intersection of natural language processing and information retrieval. More specifically, his research is primarily driven by the following broad research question: “How can we make AI and data science more accessible and useful to the end users in order to democratize AI to a broader audience?”
Karmaker completed his Ph.D. in computer science from the University of Illinois Urbana Champaign and was then a postdoctoral research associate in the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. During his Ph.D., he also worked as a summer research intern at Microsoft Research, Yahoo Research, and Walmart Labs. As a researcher, Karmaker has published more than 30 peer-reviewed research articles at premier venues, including ACL, EMNLP, SIGIR, WWW, TMLR, COLING, CoNLL, AACL, CIKM, IUI, ACM TIST, and ACM Computing Surveys. To support his research, Karmaker has brought more than $1.4 million in total grants as the Lead PI from multiple funding agencies, including the National Science Foundation, Air Force Office of Scientific Research, Army Research Office and U.S. Department of Agriculture.
He serves as an action editor for the ACL Rolling Review Initiative (ARR) and also as the communication chair of the ARR initiative. Karmaker also served as the tutorial chair for CIKM 2022. He has served regularly as a program committee member for ACL and SIGIR-sponsored conferences for the last five years.
EDUCATION
- Postdoctoral Research Associate, Massachusetts Institute of Technology
- Ph.D. in Computer Science, University of Illinois, Urbana Champaign
- M.S. in Computer Science, Bangladesh University of Engineering and Technology
SPECIALTIES
- Natural Language Processing
- Information Retrieval
- Machine Learning
- Artificial Intelligence
- Data Science
- Department
- Computer Science
