Senior Research Scientist @ Dataminr

135 Madison Avenue, Fl 10

New York, NY 10016

 

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I am a Senior Research Scientist at Dataminr (Jan 2022-present). In Dataminr, I lead the AI-Entities team that contribute to building and scaling novel algorithms to perform Named Entity Recognition (NER) and Entity Linking (EL) on billions of messages per day (both English and multilingual messages). In addition, I contribute to the brand risk by creating novel algorithms to detect anomalous brand trends, misinformation etc. My research interests are natural language process, data mining, information retrieval, and knowledge graphs induction. 

Previously I was a Research Staff Member and a Master Inventor (2021-2024) at IBM T. J. Watson Research Labs, NY (Aug 2016-present) and work in the ai-hybrid cloud team where I was leading or co-leading the following projects: Tackle Containerization Advisory (ACA) (link) and Transforming Monoliths to Microservices (Mono2Micro)(link)


I have published papers in conferences such as ESEC/FSE, ASE, IJCAI, COLING, ECAI, CLOUD, ICWS, ICSOC, SocInfo, SCC, RE, and in journals such as JAAMAS, PLOS ONE, IEEE TCSS, IEEE Internet Computing, KER. I have received one best paper award in ICSOC, 2015 and one best demo paper award in ICSOC, 2019. I am serving or have served as a program committee member for the following conferences: ACL, AAAI, COLING, CIKM, IJCAI, AAMAS, ECML-PKDD, CLOUD, ICDCS, ICWS, ICSOC, SCC, BPM, PST, and PRIMA.


I have filed around 54 patents and out of them 28 are granted.


I graduated from North Carolina State University, Raleigh, US where I completed my MS (Fall, 2013) and Ph.D. (Summer, 2016) in Computer Science under the guidance of Prof. Munindar P. Singh. I completed my BTech in Computer Science and Engineering from the College of Engineering and Technology, Bhubaneswar, India (Summer 2008).



During my PhD, I interned at


I have mentored/mentoring the following Summer interns at Dataminr.


I have mentored/mentoring the following Summer interns at IBM.


I have mentored/co-advised following MS or PhD students 

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