20th SIAM International Conference on Data Mining
May 7 - May 9, 2020, Cincinnati, OH, USA
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SDM 2020 - http://www.siam.org/meetings/sdm20
Last Call for Papers
Scope
=====
Data mining is the computational process for discovering valuable knowledge
from data - the core of modern Data Science. It has enormous application in
numerous fields, including science, engineering, healthcare, business, and
medicine. Typical datasets in these fields are large, complex, and often
noisy. Extracting knowledge from these datasets requires the use of
sophisticated, high-performance, and principled analysis techniques and
algorithms, which are based on sound theoretical and statistical
foundations. These techniques in turn require implementations on high
performance computational infrastructure that are carefully tuned for
performance. Powerful visualization technologies along with effective user
interfaces are also essential to make data mining tools appealing to
researchers, analysts, data scientists and application developers from
different disciplines, as well as usable by stakeholders.
The SDM conference provides a venue for researchers who are addressing these
problems to present their work in a peer-reviewed forum. It also provides an
ideal setting for graduate students and others new to the field to learn
about cutting-edge research by hearing outstanding invited speakers and
attending presentations and tutorials (included with conference
registration). A set of focused workshops is also held on the last day of
the conference. The proceedings of the conference are published in archival
form and are also made available on the SIAM web site.
Topics of Interest
==================
*Methods and Algorithms
-Anomaly & Outlier Detection
-Big Data & Large-Scale Systems
-Classification & Semi-Supervised Learning
-Clustering & Unsupervised Learning
-Data Cleaning & Integration
-Deep Learning & Representation Learning
-Frequent Pattern Mining
-Feature Extraction, Selection and Dimensionality Reduction
-Mining Data Streams
-Mining Graphs & Complex Data
-Mining on Emerging Architectures & Data Clouds
-Mining Semi Structured Data
-Mining Spatial & Temporal Data
-Mining Text, Web & Social Media
-Online Algorithms
-Optimization Methods
-Parallel and Distributed Methods
-Probabilistic & Statistical Methods
-Scalable & High-Performance Mining
-Other Novel Methods
*Applications
-Astronomy & Astrophysics
-Automation & Process Control
-Climate / Ecological / Environmental Science
-Customer Relationship Management
-Data Science
-Drug Discovery
-Finance
-Genomics & Bioinformatics
-Healthcare Management
-High Energy Physics
-Intelligence Analysis
-Internet of Things
-Intrusion & Fraud detection
-Logistics Management
-Recommendation
-Risk Management
-Social Network Analysis
-Supply Chain Management
-Other Emerging Applications
*Human Factors and Social Issues
-Ethics of Data Mining
-Intellectual Ownership
-Interestingness & Relevance
-Privacy and Fairness Models
-Privacy Preserving Data Mining
-Risk Analysis and Risk Management
-Transparency and Algorithmic Bias
-User Interfaces and Visual Analytics
-Other Human and Social Issues
Submission URL
==============
https://cmt3.research.microsoft.com/SDM2020
Workshop and Tutorials
======================
The conference will feature workshops and tutorials on several special
topics. Please see the SDM 2020 website for submission requirements.
Examples of workshops and tutorials are available through the SDM 2019
website,
http://www.siam.org/meetings/sdm19/
Organization
============
GENERAL CO-CHAIRS
Nitesh Chawla, University of Notre Dame, USA
Carlotta Domeniconi, George Mason Univeristy, USA
PROGRAM CO-CHAIRS
Yan Liu, University of Southern California, USA
Sriraam Natarajan, University of Texas at Dallas, USA
WORKSHOPS CO-CHAIRS
Yuxiao Dong, Microsoft Research, USA
Gregor Stiglic, University of Maribor, Slovenia
TUTORIALS CHAIR
Danai Koutra, University of Michigan, USA
DOCTORAL FORUM CHAIRS
Matteo Riondato, Amherst College, USA
Brandeis Marshall, Spelman College, USA
PANELS CHAIR
Zhenhui Jessie Li, Penn State University, USA
PUBLICITY CHAIRS
Xiang Ren, University of Southern California, USA
Alfredo Cuzzocrea, University of Calabria, Italy
Sourangshu Bhattacharya, IIT, Kharagpur, India
AWARDS CHAIR
TBA
STEERING COMMITTEE CHAIR
Zoran Obradovic, Temple University, USA
LOCAL CHAIR
Ping Zhang, Ohio State University, USA
Important Dates (tentative)
===========================
Abstract Submission:
October 4, 2019 11:59pm (US Eastern Time)
Paper Submission:
October 11, 2019 11:59pm (US Eastern Time)
Workshop Proposals:
October 4, 2019 11:59pm (US Eastern Time)
Tutorial Proposals:
October 4, 2019 11:59pm (US Eastern Time)
FYI: we have an open PI position at the Center for Human Genetics in Leuven to start your own research group focused on single-cell omics and bioinformatics !
Deadline: 21st of October.
https://www.kuleuven.be/personeel/jobsite/jobs/55322305?hl=en&lang=en
Cheers,
Stein
SINGLE CELL OMICS
(ref. ZAP-2019-123)
A full-time Senior Academic position in the domain of Single cell genomics is available in the Department of Human Genetics at the University of Leuven. Biological and biomedical research is shifting from multicellular analyses to single cell analyses. This type of research requires new computational and artificial intelligence-based methods for the analysis of large datasets. We seek to appoint a new Senior Academic staff member in this area. The candidate will also be affiliated with and play an important role in the newly established Single Cell Omics Institute. It is the mission of the Department of Human Genetics, within the areas of human genetics, neurogenetics and cancer genetics, to diagnose, treat and counsel patients, to conduct excellent research and to offer an up-to-date education curriculum. It is the aim of every staff member to use the newest genetic and molecular technologies in order to improve our understanding of human disorders, at the service of our patients and society as a whole. We aspire to be an international centre of excellence within the field of molecular genetics, and to offer a platform of genetic technologies that can support clinical and fundamental, both national and international research groups. We put our clinical services and scientific knowhow at the disposal of our patients, by making diagnoses and by giving them (therapeutic) advice and treatment. We also reflect on the societal, ethical, and psychological impact of new knowledge and clinical practices in the field of human genetics on individuals and on our society
Duties
Research
The research is situated in the domain of human genetics/genomics. The candidate will be an expert in the development and implementation of innovative computational and artificial intelligence-based methods for the analysis of large ‘omics’ datasets from individual cells. The research aims to understand the biology of human cells during normal development, ageing and/or diseases.
• You strive for excellence in your research and thus contribute to the further scientific development of the department.
• You will start a new research group to further expand.
• You will be a motor in the consolidation of the Single Cell Institute of the University of Leuven (KU Leuven).
• You supervise PhD students at an international level.
• You work closely together with other research teams inside and outside the department.
• You contribute to the further development of novel national and international collaborations of the Department of Human Genetics.
Education
The candidate will be appointed at the Faculty of Medicine and takes up teaching assignments (in English or in Dutch) in this or other faculties. You ensure high-quality education, with a clear commitment for the quality of the programme as a whole.You also contribute to the pedagogic project of the university through the supervision of Msc. theses and as a promoter of PhD students.
Profile
• You are holder of a PhD degree on a topic related to the research domain eg. molecular biology, cell biology, (bio) medical sciences and with a clear focus on computational biology and bioinformatics during the PhD or Postdoctoral research.
• You have a strong research record in a relevant field of study. The quality of your research is evident from publications in prominent, international journals in the domains of genetics & genomics, development of computational methods or applications for single cell omics and/or spatial (single cell) data analyses.
• International experience is an important asset.
• You have already proven that you are capable of acquiring competitive funding.
• You have good teaching and training skills. Experience in an academic teaching environment, as lecturer or as supervisor of MSc. and PhD students is recommended.
• You have a cooperative attitude and you are a strong communicator, to a specialized and lay public alike.
• You possess organizational skills and leadership (management) capacities within an academic context.
• You have a thorough knowledge of spoken and written English.
• The official administrative language used at KU Leuven is Dutch. If you do not speak Dutch (or do not speak it well) at the start of employment, KU Leuven will provide language training to enable you to take part in meetings.
• Before teaching courses in Dutch or English, you will be given the opportunity to learn Dutch resp. English to the required standard.
Offer
We have a full-time position available in an intellectually challenging environment. KU Leuven is a research-intensive, internationally oriented university that carries out both fundamental and applied scientific research.It is highly inter- and multidisciplinary focused and strives for international excellence. In this regard, it actively works together with research partners in Belgium and abroad. It provides its students with an academic education that is based on high-quality scientific research.
You will work in Leuven, a historic, dynamic and lively city located in the heart of Belgium, within 20 minutes from Brussels, the capital of the European Union, and less than two hours from Paris, London and Amsterdam.
Depending on your record and qualifications, you will be appointed to or tenured in one of the grades of the senior academic staff: assistant professor,associate professor, professor or full professor.
In the case of a postdoctoral fellowship, you can be asked to finish your fellowship first. For this period, you will be appointed as a part-time assistant professor.
KU Leuven is well set to welcome foreign professors and their family and provides practical support with regard to immigration & administration, housing, childcare, learning Dutch, partner career coaching, …
To facilitate scientific onboarding and accelerate research in the first phase a starting grant of 100.000 euro is offered to new professors without substantial other funding, appointed for at least 50%.
Interested?
For more information please contact Prof. dr. Joris Vermeesch, tel.: +3216345941, mail: joris.vermeesch(a)kuleuven.be<mailto:joris.vermeesch@kuleuven.be>. For problems with online applying, please contact solliciteren(a)kuleuven.be<mailto:solliciteren@kuleuven.be>.
You can apply for this job no later than October 21, 2019 via the online application tool <https://webwsp.aps.kuleuven.be/esap/public/ui5_ui5/sap/zh_erc_esol_go/index…>
