I am currently a Research Staff Member at IBM Research AI. I graduated with a Ph.D. in Computer Science from Arizona State University's Computer Science department, where my advisor was Dr. Subbarao (Rao) Kambhampati. Prior to that, I graduated summa cum laude with a Bachelors degree in Computer Science from Arizona State.
My primary research is in the field of Sequential Decision Making, within the wider umbrella of Artificial Intelligence, and examines the issues inherent in using symbolic reasoning to bridge disparate AI and ML techniques in service of an application problem.
My thesis work dealt specifically with automated planning challenges in human-robot teaming. I have also worked on creating automated conversation systems, applying planning and reinforcement learning techniques to bridging symbolic and neural approaches; and on bridging HCI and AI techniques for human-agent collaboration. My current (and most recent) area of interest is in applying symbolic reasoning techniques to automated machine reading and complex question answering, which requires bridging NLP and AI techniques.
I was recently appointed to the committee for the ACM Special Interest Group on AI (SIGAI) as the Applied AI Officer. This role will focus on coordination and advocacy for AI applications and systems across a wide variety of stakeholders. These include AI, machine learning (ML), and natural language processing (NLP) conferences and associations; industrial and academic research labs; and policymaking and non-profit institutions. I will work closely with the rest of the SIGAI committee to lead new efforts and direct funding and focus towards a more unified and streamlined approach to AI applications.
If you find work that interests you on this site, or want to collaborate, please email me at krtalamad at us dot ibm dot com or use the contact page to get in touch with me. More information about my work and interests is on the left.