Research output per year
Research output per year
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Dive into the research topics where Antonia Papandreou-Suppappola is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Bayesian Nonparametric Modeling for Predicting Dynamic Dependencies in Multiple Object Tracking
Moraffah, B. & Papandreou-Suppappola, A., Jan 1 2022, In: Sensors. 22, 1, 388.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Interference Mitigation in Spectrum Sharing Environments Using Time- Frequency Processing and Feature Clustering
Zhang, Y., Moraffah, B. & Papandreou-Suppappola, A., 2022, 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022. Matthews, M. B. (ed.). IEEE Computer Society, p. 514-518 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2022-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Switching Langevin Dynamics for Gene Regulatory Networks
Velez-Cruz, N., Moraffah, B. & Papandreou-Suppappola, A., 2022, 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022. Matthews, M. B. (ed.). IEEE Computer Society, p. 1316-1320 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2022-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Bayesian Nonparametric Modeling and Transfer Learning for Tracking under Measurement Noise Uncertainty
Alotaibi, O. & Papandreou-Suppappola, A., 2021, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Matthews, M. B. (ed.). IEEE Computer Society, p. 826-830 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2021-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Sequential Bayesian Inference Using Stochastic Models of Gene Regulatory Networks
Velez-Cruz, N., Moraffah, B. & Papandreou-Suppappola, A., 2021, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Matthews, M. B. (ed.). IEEE Computer Society, p. 568-572 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2021-October).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations
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Center of Excellence in Future Generation Wireless Technology (FutureG)
Bliss, D., LiKamWa, R., Zhang, Y., Papandreou-Suppappola, A., Chakrabarti, C. & Xue, G.
DOD-ARMY: Army Materiel Command (AMC)
9/22/23 → 9/21/28
Project: Research project
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Decision-theoretic Learning for Tracking in Complex Environments
DOD-USAF-AFRL: Air Force Office of Scientific Research (AFOSR)
6/15/23 → 6/14/26
Project: Research project
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Sequencing by Direct Electrical Measurements of Polymerase Fluctuations
Papandreou-Suppappola, A., Lindsay, S., Wang, X. & Qing, Q.
HHS: National Institutes of Health (NIH)
5/15/20 → 2/29/24
Project: Research project
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Bayesian Nonparametric Machine Learning in Multimodal Sensing
DOD-USAF-AFRL: Air Force Office of Scientific Research (AFOSR)
6/15/20 → 9/30/23
Project: Research project
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Multimodal Sensing and Information Integration for Multiple Object Tracking
DOD-USAF-AFRL: Air Force Office of Scientific Research (AFOSR)
4/1/17 → 8/14/20
Project: Research project