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 , France, in 2017. She was a Research Fellow at in South Korea (2017-2018), where she conducted research on spatial data mining. She was a research fellow at , 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 , 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