DSAA Service Awards
2021
João Gama
University of Porto, INESC TEC, Portugal
2020
Zhongfei Zhang
Binghamton University, USA
2019
Lisa Singh
Georgetown University, USA
2018
Francesco Bonchi
ISI Foundation, Italy
2017
Satoshi Kurihara
University of Electro-Communications, JAPAN
2016
Benjamin Fung
Mcgill University, Canada
2015
Gabriella Pasi
Universita Di Milano Biccoca, Italy
2015
Patrick Gallinari
University Pierre & Marie Curie, France
2014
Jian Cao
Shanghai Jiaotong University, China
DSAA Next Generation Data Scientist Awards
- 2022: Dr. Shoujin Wang, University of Technology Sydney, Australia
- 2021: Dr. Vagelis Papalexakis, University of California Riverside, USA
- 2020: Dr. Chuanren Liu, University of Tennessee, USA
- 2019: Dr. Stefano Cresci, National Research Council, Italy
- 2018: Dr. Riccardo Guidotti, University of Pisa, Italy
- 2016: Dr. David Anastasiu, San José State University, USA
DSAA Best Research Paper Awards
- 2021: Alex Watson, Suvam Kumar Das and Suprio Ray. DaskDB: Scalable Data Science with Unified Data Analytics and In Situ Query Processing
- 2020: Waqar Hassan, André Maletzke and Gustavo Batista. Accurately Quantifying a Billion Instances per Second
- 2019: Al Amin Hosain, Panneer Selvam Santhalingam, Parth Pathak, Jana Kosecka and Huzefa Rangwala. Sign Language Recognition Analysis using Multimodal Data
- 2018: Behrooz Omidvar-Tehrani, Sihem Amer-Yahia and Laks V.S. Lakshmanan. Cohort Representation and Exploration
- 2017: Linchuan Xu, Xiaokai Wei, Jiannong Cao and Philip Yu. Disentangled Link Prediction for Signed Social Networks via Disentangled Representation Learning
- 2016: David Anastasiu and George Karypis. Efficient Identification of Tanimoto Nearest Neighbors
- 2015: Luke McDowell. Relational Active Learning for Link-Based Classification
- 2014: Masahiro Kimura, Kazumi Saito, Kouzou Ohara and Hiroshi Motoda. Efficient Analysis of Node Influence Based on SIR Model over Huge Complex Networks
DSAA Best Application Paper Awards
- 2021: Siddhartha Shankar Das, Edoardo Serra, Mahantesh Halappanavar, Alex Pothen and Ehab Al-Shaer. V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities
- 2020: Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae and Michael Cochez. Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
- 2019: Vitali Hirsch, Peter Reimann, and Bernhard Mitschang. Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products
- 2018: Maarten Bieshaar, Malte Depping, Jan Schneegans and Bernhard Sick. Starting Movement Detection of Cyclists using Smart Devices
- 2017: Pingjie Tang, Jed Pitera, Dmitry Zubarev and Nitesh V. Chawla. Materials Science Literature-Patent Relevance Search: A Heterogeneous Network Analysis Approach
- 2016: Daniel Austin, Sam Seljan, Julius Monello and Stephanie Tzeng. Reserve Price Optimization at Scale
- 2015: K. N. Ramamurthy, M. Singh, Y. Yu, J. Aspis, M. Iames, M. Peran, Q. Held. A Talent Management Tool using Propensity to Leave Analytics
- 2014: Yang Liu and Mingyan Liu. Detecting Hidden Propagation Structure and Its Application to Analyzing Phishing
IEEE/DSAA Travel Awards
- 2020: IEEE CIS Student and Researcher Travel Grants: Qi Zhang and David Dukic
- 2018: SoBigData Travel Grants for Female Students: Amela Fejza and Eva Garcia Martin
- 2018: IEEE CIS Student and Researcher Travel Grants: Falco Joannes, Bargagli Stoffi and Saiyedul Islam
- 2017: Linchuan Xu, Darpan Baheti, Akankshya Kar, Soumajit Pramanik
- 2016: Yongkai Wu (USD400), Iqbal Sarker (USD800), Hatim Chahdi (USD800)