SIGKDD Updates

2025 SIGKDD Rising Star Award

2025-11-24T03:59:00+00:00

The 2025 SIGKDD Rising Star Award is presented to Dr. Carl Yang. Yang is an Assistant Professor of Computer Science at Emory University, jointly appointed in the Rollins School of Public Health and Nell Hodgson Woodruff School of Nursing. He received his Ph.D. in Computer Science at University of

2025 SIGKDD Innovation Award: George Karypis

2025-09-24T02:52:00+00:00

ACM SIGKDD is pleased to announce that George Karypis is the winner of its 2022 Innovation Award. George Karypis' research interests are concentrated in the areas of data mining, recommender systems, learning analytics, high-performance computing, and chemical informatics and from time-to-time, he looks at various problems in the areas of health informatics, information retrieval, bioinformatics, and scientific computing. Within these areas, his research focuses in developing novel algorithms for solving important existing and/or emerging problems, and on developing practical software tools implementing some of these algorithms. The results from this research have been presented in various conferences and published in leading peer reviewed journals and highly selective conference proceedings.

2025 SIGKDD Dissertation Award Winners

2025-09-04T16:27:00+00:00

ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining. The original call for nomination is available here.

Review Criteria:

Relevance of the Dissertation to KDD
Originality of the Main Ideas in the

2025 SIGKDD Best Paper Award Winners

2025-09-02T16:43:00+00:00

ACM SIGKDD is pleased to announce the winners of the best paper awards from the set of papers submitted to the KDD 2025 conference.

Research Track

BEST PAPER AWARD

Improving Group Robustness on Spurious Correlation via Evidential Alignment
Wenqian Ye, Guangtao Zheng, Aidong Zhang

BEST PAPER

2025 SIGKDD Test of Time Award Winners

2025-08-29T16:58:00+00:00

The SIGKDD Test of Time Award recognizes outstanding papers from past KDD Conferences beyond the last decade that have had an important impact on the data mining research community.

SIGKDD Test of Time Award for Research

Hao Wang, Naiyan Wang, Dit-Yan Yeung: Collaborative Deep Learning for

2024 SIGKDD Rising Star Award

2024-11-24T03:57:00+00:00

The 2022 SIGKDD Rising Star Award is presented to Jundong Li. Jundong Li is an Associate Professor at the University of Virginia with appointments in the Department of Electrical and Computer Engineering and the Department of Computer Science. Since the summer of 2022, he has also been a part-time

2024 SIGKDD Innovation Award: Lisa Getoor

2024-11-24T03:48:00+00:00

ACM SIGKDD is pleased to announce that Lilsa Getoor is the winner of its 2024 Innovation Award. Lise Getoor is Distinguished Professor of Computer Science and Jack Baskin Chair of Computer Engineering at University of California, Santa Cruz. Her research is in the areas of machine learning, artificial intelligence, and probabilistic reasoning – making decisions in situations of uncertainty. She works with graph-structured, semi-unstructured and unstructured data sets to create and employ statistical models. Her research mixes tools from different areas of computer science to deal with the challenges of incompleteness, uncertainty, and bias in data.

Getoor is also an advocate for ethics and responsible data science, addressing both the technical and societal implications of emerging data science technology. This work tackles issues of privacy and bias in new and powerful algorithmic tools. She is considered a leader in this field and has convened groups and given multiple keynote talks at various conferences on the subject.

2024 SIGKDD Service Award: Fairsal Farooq

2024-09-24T03:07:00+00:00

Faisal Farooq, Ph.D., is an established leader with over 15 years of experience applying machine learning and managing large teams with a multimillion-dollar R&D portfolio. Dr. Farooq is the senior director of Artificial Intelligence (AI) at Pinterest. Previously, he served as a director at Microsoft and was the founding head of the Health AI research group at Qatar Computing Research Institute (QCRI), part of Hamad Bin Khalifa University (HBKU). Before relocating to Qatar, he led a team of over 100 members at IBM Watson, where he conducted cutting-edge research and delivered AI products to the healthcare market. Farooq has authored over 20 patents and 50 scientific publications and has organized more than 15 conferences and workshops, including NIPS, ICML, KDD, and ICPR. He was appointed as the general chair for KDD 2018 and associate general chair for KDD 2017.

2024 SIGKDD Dissertation Award Winners

2024-09-11T16:23:00+00:00

ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining. The original call for nomination is available here.

Review Criteria:

Relevance of the Dissertation to KDD
Originality of the Main Ideas in the

2024 SIGKDD Test of Time Award Winners

2024-08-30T16:58:00+00:00

The SIGKDD Test of Time Award recognizes outstanding papers from past KDD Conferences beyond the last decade that have had an important impact on the data mining research community.

SIGKDD Test of Time Award for Research

Brian Perozzi, Rami Al-Rfou, Steven Skiena: DeepWalk: online learning of