Saida Elmi, Ph.D.

(she/her/hers)
Saida Elmi, Ph.D. Headshot
Assistant Professor

Electrical and Computer Engineering and Computer Science Department
Tagliatela College of Engineering
Education

Postdoctoral Associate in Computer Science, School of Medicine, Yale University, 2021 - 2022.
Postdoctoral Research Fellow in Computer Science, National University of Singapore, Singapore, 2018 - 2021.
Postdoctoral Research Fellow in Computer Science, KoreaTech University, South Korea, 2017 - 2018.
Ph.D. in Computer Science, National School of Mechanics and Aerotechnics, France.

About Saida

Dr. Elmi received her Ph.D. degree in Computer Science from the National School of Mechanics and Aerotechnics, France, in 2017. She was a Research Fellow at Korea University of Technology and Education in South Korea (2017-2018), where she conducted research on spatial data mining. She was a research fellow at National University of Singapore, School of Computing (2018-2021), where she was involved in AI and Machine Learning. She is currently an Assistant Professor at University of New Haven (2022-Present) and Adjunct Assistant Professor at Yale University, School of Medicine (2021-Present), working on action recognition for mental disease detection. Her research interests include knowledge discovery, machine learning, and spatial data mining.

Selected Peer Reviewed Publications

  • Sayda Elmi, Kian-Lee Tan: Influence-Based Deep Network for Next POIs Prediction. ECIR (1) 2022: 170-183 2021
  • Karim Benouaret, Sayda Elmi, Kian-Lee Tan: Relaxing the Sky: Handling Hard User Constraints in Skyline Service Selection. SCC 2021: 62-70
  • Sayda Elmi, Karim Benouaret, Kian-Lee Tan: Social and Spatio-Temporal Learning for Contextualized Next Points-of-Interest Prediction. ICTAI 2021: 322-329
  • Sayda Elmi, Kian-Lee Tan:DeepFEC: Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities. WWW 2021: 1880-1890 2020
  • Sayda Elmi, Kian-Lee Tan: Travel Time Prediction in Missing Data Areas: Feature-based Transfer Learning Approach. HPCC/DSS/SmartCity 2020: 1088-1095
  • Sayda Elmi, Kian-Lee Tan: Efficient Skyline Computation over Incomplete and Uncertain Data for Decision Making Systems. ICTAI 2020: 1059-1064
  • Sayda Elmi, Kian-Lee Tan: Learned Taxi Fare for real-life trip trajectories via Temporal ResNet Exploration. MobiQuitous 2020: 86-95
  • Sayda Elmi, Kian-Lee Tan: Speed Prediction on Real-life Traffic Data: Deep Stacked Residual Neural Network and Bidirectional LSTM. MobiQuitous 2020: 435-443 [–] 2010 – 2019 FAQ 2018
  • Amna Abidi, Sayda Elmi, Mohamed Anis Bach Tobji, Allel HadjAli, Boutheina Ben Yaghlane: Skyline queries over possibilistic RDF data. Int. J. Approx. Reason. 93: 277-289 (2018)
  • Sayda Elmi, Jun-Ki Min: Spatial skyline queries over incomplete data for smart cities. J. Syst. Archit. 90: 1-14 (2018)
  • Sayda Elmi, Jun-Ki Min: A Step forward for Spatial Skyline Queries for a Group of Users: Semantic in the Evidence Theory Setting. IDEAS 2018: 54-63 2017
  • Sayda Elmi, Mohamed Anis Bach Tobji, Allel Hadjali, Boutheina Ben Yaghlane: Selecting skyline stars over uncertain databases: Semantics and refining methods in the evidence theory setting. Appl. Soft Comput. 57: 88-101 (2017)
  • Fatma Ezzahra Bousnina, Sayda Elmi, Mouna Chebbah, Mohamed Anis Bach Tobji, Allel HadjAli, Boutheina Ben Yaghlane: Skyline Operator over Tripadvisor Reviews Within the Belief Functions Framework. ICDEc 2017: 186-197
  • Sayda Elmi, Allel Hadjali, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane: Skyline Computation and Maintenance over Imperfect Databases: A Marginal-Points-Based Approach. ICTAI 2017: 1234-1242 2016
  • Sayda Elmi, Allel Hadjali, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane: Imperfect top-k skyline query with confidence level. AICCSA 2016: 1-8
  • Fatma Ezzahra Bousnina, Sayda Elmi, Mohamed Anis Bach Tobji, Mouna Chebbah, Allel HadjAli, Boutheina Ben Yaghlane: Object-relational implementation of evidential databases. ICDEc 2016: 80-87
  • Sayda Elmi, Mohamed Anis Bach Tobji, Allel Hadjali, Boutheina Ben Yaghlane: Efficient Distributed Skyline over Imperfect Data Modeled by the Evidence Theory. ICTAI 2016: 335-342
  • Sayda Elmi, Mohamed Anis Bach Tobji, Allel Hadjali, Boutheina Ben Yaghlane: Efficient Skyline Maintenance over Frequently Updated Evidential Databases. IPMU (2) 2016: 199-210 2015
  • Sayda Elmi, Karim Benouaret, Allel HadjAli, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane: Requêtes Skyline en présence des données évidentielles. EGC 2015: 215-220 2014
  • Sayda Elmi, Karim Benouaret, Allel HadjAli, Mohamed Anis Bach Tobji, Boutheina Ben Yaghlane: Computing Skyline from Evidential Data. SUM 2014: 148-161