SDM21 Special Events | SIAM
 

Special Events


HAPPENING VIRTUALLY: SIAM International Conference on Data Mining (SDM21)

Special Events


Featured Minisymposia

Best Paper Awards

Best Research Paper Award

Complexity-Adaptive Gaussian Process Model Inference for Large-Scale Data

Fabian Berns, University of Münster, Germany
Christian Beecks, University of Münster, Germany

Best Application Paper Award

Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks

Xiaowei Jia, University of Pittsburgh, U.S.
Beiyu Lin, University of Texas Rio Grande Valley, U.S
Jacob Zwart, U.S. Geological Survey, U.S.
Jeffrey Sadler, U.S. Geological Survey, U.S.
Alison Appling, U.S. Geological Survey, U.S.
Samantha Oliver, U.S. Geological Survey, U.S.
Jordan Read, U.S. Geological Survey, U.S.


IBM Early Career Data Mining Research Award

Prize Recipients

2020 IBM Early Career Award - Dr. Leman Akoglu

2021 IBM Early Career Award - Dr. Jing Gao

This annual award recognizes one individual in the field of data science who has made outstanding, influential, and lasting contributions to the field within 10 years of having received a PhD.

About the Award: The SDM/IBM Early Career Data Mining Researcher Award for Excellence in Data Analytics seeks to recognize one individual (no runner up/ honorable mention) who has made outstanding and influential contributions in the field of data analysis and who will be within 10 years of having received their PhD degree as of the calendar year prior to the year of the award. For example, an award winner in 2020 should have received their PhD no earlier than 2009. An award winner in 2021 should have received their PhD no earlier than 2010.

Since SDM 2020 was deferred due to the pandemic, this year we are accepting nominations for both 2020 and 2021. Applications for 2020 should include achievements (publications, etc.) dated no later than March 30, 2020.

Nominations: A candidate may be nominated by any member of the community except members of the Award Selection Committee. An individual may nominate at most one candidate for this award in a specific year. In this competition, an individual may nominate at most one candidate for 2020 and at most one candidate for 2021. One candidate can be nominated for both 2020 and 2021 as long as the candidate is eligible for both years. Nominations must be submitted to the Award Selection Committee Co-Chairs by email at [email protected] and [email protected] with “SDM/IBM Research Award [2020 or 2021]” as the subject. Please send one nomination per email and specify whether the nomination is for year 2020 or 2021 in the subject of the email.

A nomination application (a single PDF file) should contain the following:

  1. Name/email of nominator (self-nominations are not permitted).
  2. Name/email of candidate being nominated.
  3. A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award. Note that since the award is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding, significant, and influential. The nomination should also list the names and email addresses of up to 3 persons who will provide letters supporting the nomination.
  4. CV of the nominee (the CV must clearly indicate date of degree received)
  5. Up to three support letters. The letters should be collected by the nominator and included in the nomination. The letter writers may not be the nominator nor Award Selection Committee members.

Important Dates:

  • Nomination Deadline: March 12, 2021
  • Results Notification: April 15, 2021

Award Selection Committee:
Sanjay Chawla, Qatar Computing Research Institute (Co-Chair)
Jian Pei, Simon Fraser University (Co-Chair)
Zoran Obradovic, Temple University (Steering Committee Representative)
Members: TBD

Note that members of the selection committee cannot be nominators or provide support letters. Also note that the intent is to select exactly one awardee (one for 2020 and one for 2021) – re-nominations for subsequent years are permissible as long as the individuals continue to maintain eligibility. The committee at its discretion may elect not to make an award in a particular year.


Doctoral Student Forum Participants and Student Travel Scholarship Applications

The SDM Doctoral Forum is a unique opportunity for PhD students in data science (including data mining, machine learning, databases, and pattern recognition) to present their doctoral dissertation in poster format and get feedback from SDM participants and senior leaders in the field. The SDM doctoral forum will be held in a plenary poster session alongside posters from the main conference, allowing for an interesting cross fertilization of ideas. Past participants have benefited significantly from this plenary session.

Applications to the Doctoral Forum at the 2021 SIAM International Conference on Data Mining (SDM21)

We invite doctoral students in data science (including data mining, machine learning, databases, and pattern recognition) to present their doctoral dissertation (including ongoing and future work) in poster format at the Doctoral Forum of the 2021 SIAM International Conference on Data Mining (SDM21), which will be held virtually April 29-May 1, 2021.

The forum is held in a plenary poster session alongside posters from the main conference, allowing for an interesting cross fertilization of ideas.

The forum is a unique opportunity for PhD students to get feedback from SDM participants and senior leaders in the field. It is also an exciting opportunity for networking and creating future collaborations. Past participants have benefited significantly from this plenary session. An award will be given to the best poster presentation.

In addition to the poster session, there will be a mentorship panel with senior leaders in the field, which will provide perspectives and tips for graduate studies and what comes after graduation.

Doctoral Forum Poster Prize Recipients

Best Posters:

  • Marie Roald, (Simula Metropolitan Center for Digital Engineering), Understanding the Dynamics of Complex Systems through Time-Evolving Data Mining
  • Mayank Kakodkar, (Purdue University), Regeneration in Discrete State and Reversible Markov Chain Monte Carlo

Best Poster (runner-up):

  • Moniba Keymanesh, (Ohio State University), Adaptive Summarization for Low-resource Domains and Algorithmic Fairness

Judges:

  • Tyler Derr (Vanderbilt University)
  • Pravallika Devineni (Oak Ridge National Lab)
  • Arlei Lopes de Silva (UCSB)
  • Matteo Riondato (Amherst College)

Key Dates

  • Application deadline: March 15, 2021
  • Notification deadline: March 29, 2021
  • Doctoral Forum: as part of SDM’21, April 29-May 1, 2021 (exact day TBA).

Application

Please apply by filling the application form here.

We welcome submissions both from senior doctoral students who have a more concrete idea of their dissertation, as well as junior doctoral students who may not have a full plan for their dissertation yet but have a direction and can benefit from the feedback by the forum participants.

Travel support

Limited support for students at U.S.-based institutions who are accepted to the Doctoral Forum is available thanks to a NSF grant. See the application form for details.

Additional travel support for students to attend SDM21, independent from their location and whether they attend the Doctoral forum, is available from SIAM, in the form of Student Travel Awards.

Contacts

For additional information, please write to the Doctoral Forum Co-chairs:
Joyce Ho, Emory University ([email protected]) and Vagelis Papalexakis, University of California, Riverside ([email protected])

Doctoral Forum Posters

The Doctoral Forum Poster Session will take place on Saturday, May 1 at 3:30 PM Eastern Time.

The Conference Program will be posted here when available.

  1. Huan He, Emory University
    Acceleration Algorithms for Machine Learning Methods
  2. Moniba Keymanesh, Ohio State University
    Adapative Summarization for Low-resource Domains and Algorithmic Fairness
  3. Johannes Huegle, Hasso Plattner Institute
    An Information-Theoretic Approach on Causal Structure Learning within Heterogeneous Data Characteristics of Real-World Scenarios
  4. Dongkuan Xu, Pennsylvania State University
    Deep Models for Learning Temporal Patterns in Dynamic Networks
  5. Priya Mani, George Mason University
    Exemplar-driven Learning for Data Clustering
  6. Sara Abdali, University of California, Riverside
    Fake News Detection Using Tensor Embedding with Limited Supervision
  7. Yu Wang, Vanderbilt University
    Graph Neural Networks and its applications
  8. Yushun Dong, University of Virginia
    Individual Fairness for Graph Neural Networks: A Ranking based Approach
  9. George Panagopoulos, Ecole Polytechnique de Paris
    Influence Representation Learning for Social Network Analysis
  10. Aritra Majumdar, Bournemouth University - CANCELLED
    Injury Risk and Performance: Towards a Better Understanding of the Complexities and Intricacies of Load Monitoring within an Elite Football Club
  11. Balasubramaniam Srinivasan, Purdue University
    Learning Invariant Representations of Sets, Graphs and Other Objects
  12. Joanna Stanislawek, Bournemouth University - CANCELLED
    Machine Learning in Business and how Visualization can Increase its Value
  13. Idris Oumoussa, National Institute of Statistics and Applied Economics - CANCELLED
    Microservices Integration using Event-Driven Orchestration
  14. Jing Ma, University of Virginia
    Multi-Cause Effect Estimation with Disentangled Confounder Representation
  15. Christopher Hagedorn, Hasso Plattner Institute
    Parallel Execution Strategies for Causal Structure Learning in Heterogeneous Computing Systems
  16. Hui Hu, University of Wyoming
    Privacy-Preserving Fair Machine Learning
  17. Mayank Kakodkar, Purdue University
    Regeneration in Discrete State and Reversible Markov Chain Monte Carlo
  18. Pratik Shrivastava, Madan Mohan Malaviya University Of Technology
    Some Issues for Replication in Distributed Real Time Database Systems
  19. Ajay Kumar Gupta, Madan Mohan Malaviya University Of Technology
    Some Issues in Location Dependent Information System Query for Mobile Environment
  20. Sneha Mehta, Virginia Tech - CANCELLED
    Towards Explainable Event Detection and Extraction
  21. Marie Roald, Simula Metropolitan Center for Digital Engineering
    Understanding the Dynamics of Complex Systems through Time-Evolving Data Mining