• 3748 Citations
  • 32 h-Index
19942019
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Personal profile

Prasenjit Mitra received his Doctor of Philosophy degree in Electrical Engineering at Stanford University in 2004. He worked under the supervision of Prof. Gio Wiederhold and his dissertation is titled "An Algebraic Framework for the Interoperation of Ontologies". Prior to that, he had received a Master of Science degree in Computer Science at The University of Texas at Austin in December, 1994. His Bachelor of Technology (with Honours) degree in Computer Science and Engineering was from the Indian Institute of Technology, Kharagpur in May, 1993. From 1995, he worked for five years at Oracle Corporation in Redwood Shores, CA as a senior member of the technical staff at the Server Technologies division developing database software. He also worked part-time as a senior engineer at Narus, and DBWizards.

Researcher Defined Keywords

  • Database Systems
  • Semantic Web
  • Digital Libraries
  • Data Communications
  • Computer Networks

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Research Output 1994 2019

Exploring task-agnostic, ShapeNet-based object recognition for mobile robots

Chiatti, A., Bardaro, G., Bastianelli, E., Tiddi, I., Mitra, P. & Motta, E., Jan 1 2019, In : CEUR Workshop Proceedings. 2322

Research output: Contribution to journalConference article

Object recognition
Mobile robots
Color matching
Knowledge acquisition
Scalability

Summarizing Situational Tweets in Crisis Scenarios: An Extractive-Abstractive Approach

Rudra, K., Goyal, P., Ganguly, N., Imran, M. & Mitra, P., Oct 1 2019, In : IEEE Transactions on Computational Social Systems. 6, 5, p. 981-993 13 p., 8839735.

Research output: Contribution to journalArticle

Summarization
scenario
Scenarios
Linear programming
Disasters
9 Citations (Scopus)

Identifying sub-events and summarizing disaster-related information from microblogs

Rudra, K., Goyal, P., Ganguly, N., Mitra, P. & Imran, M., Jun 27 2018, 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018. Association for Computing Machinery, Inc, p. 265-274 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Disasters
Linear programming
10 Citations (Scopus)

Visually-enabled active deep learning for (geo) text and image classification: A review

Yang, L., Maceachren, A., Mitra, P. & Onorati, T., Feb 1 2018, In : ISPRS International Journal of Geo-Information. 7, 2, 65.

Research output: Contribution to journalArticle

Image classification
image classification
learning
Information retrieval
Labeling
15 Citations (Scopus)

Damage assessment from social media imagery data during disasters

Nguyen, D. T., Ofli, F., Imran, M. & Mitra, P., Jul 31 2017, Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017. Diesner, J., Ferrari, E. & Xu, G. (eds.). Association for Computing Machinery, Inc, p. 569-576 8 p. (Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2017).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Disasters
Neural networks
Learning systems
Tuning