CFP for Research Track

The DSAA’2023 Research Track solicits high-quality, original papers presenting novel issues s of Data Science and Advanced Analytics across various disciplines and domains, including business, government, health and medical science, physical sciences, and social sciences.

Topics of interests include but are not limited to:

  • Data science foundations and theories
  • Mathematics and statistics for data science and analytics
  • Understanding data characteristics and complexities
  • Machine/deep/statistical learning-based algorithms
  • Advanced analytics and knowledge discovery methods
  • Computer vision and pattern recognition
  • Optimization theories and methods
  • Large-scale databases, big-data processing, distributed processing, and ethical analytics
  • Model explainability and provenance
  • Theories and methods for evaluation, explanation, visualization, and presentation
  • Survey and review

Submissions for the DSAA’2023 Research Track should very clearly specify the problem being solved, what methodologies were used to solve the problem, what data was used, how the results were evaluated, and how the solution is being used.

  • Paper submission: May 2, 2023 May 22, 2023
  • Paper Notification: July 24, 2023
  • Paper Camera-ready: August 21, 2023

All papers should be submitted electronically via EasyChair (under the “Research” Track).

The length of each paper submitted to the Research tracks should be no more than ten (10) pages and should be formatted following the standard 2-column U.S. letter style of IEEE Conference template. For further information and instructions, see the IEEE Proceedings Author Guidelines.

All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to the conference’s topics of interest, originality, significance, and clarity. Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with paper formatting and authors anonymity will be rejected without reviews.

Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA’2023. An exception to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA’2023 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper’s title and abstract are different from the one appearing in arXiv.

All accepted full-length papers will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE.

  1. Reproducibility & supplementary: The advancement of data science depends heavily on reproducibility. We strongly recommend that the authors release their code and data to the public. Authors can provide an optional two (2) page supplement at the end of their submitted paper (it needs to be in the same PDF file and start at page 3). This supplement can only be used to include (i) information necessary for reproducing the experimental results reported in the paper (e.g., various algorithmic and model parameters and configurations, hyper-parameter search spaces, details related to dataset filtering and train/test splits, software versions, detailed hardware configuration, etc.), and (ii) any data, pseudo-code and proofs that due to space limitations, could not be included in the main manuscript.
  2. Authorship: The list of authors at the time of submission is final and cannot be changed.
  3. Dual submissions: DSAA is an archival publication venue as such submissions that have been previously published, accepted, or are currently under-review at peer-review publication venues (i.e., journals, conferences, workshops with published proceedings, etc.) are not permitted. DSAA has a strict no dual submission policy.
  4. Conflicts of interest (COI): COIs must be declared at the time of submission. COIs include employment at the same institution at the time of submission or in the past three years, collaborations during the past three years, advisor/advisee relationships, plus family and close friends. Program chairs and Industry Poster chairs are not allowed to submit papers to the Industry Poster track.
  5. Attendance: At least one author of each accepted poster paper must register in full and attend the conference to present the poster. No-show posters will be removed from the IEEE Xplore proceedings.
  6. AI Generated Text: The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AIgenerated text shall have a citation to the AI system used to generate the text.

General enquiries about Research Track paper submissions should be submitted to Track Chairs.

  • Timos Sellis, Archimedes/Athens RC, Greece (timos at athenarc dot gr)
  • Guoliang Li, Tsinghua University, China (liguoliang at Tsinghua dot edu dot cn)
  • Mohammed Eunus Ali, Bangladesh University of Engineering & Technology
  • Ghaith Al-Tameemi, University of Northampton
  • Chiara Balestra, University of Bonn
  • Rushanthi Baskaran, Informatics Institute of Technology
  • Anna Beer, Aarhus University
  • Feiyang Cai, Stony Brook University
  • Lei Cao, Massachusetts Institute of Technology
  • Animesh Chaturvedi, Indian Institute of Information Technology Dharwad
  • Damianos Chatziantoniou, Athens University of Economics & Business
  • Yi Chen, New Jersey Institute of Technology
  • Vassilis Christophides, University of Crete
  • Hasan Davulcu, Arizona State University
  • Gabriel de Oliveira, State University of Campinas
  • Gill Dobbie, University of Auckland
  • Hadi Fanaee-T, Halmstad University
  • Luciano Heitor Gallegos Marin, University of Southern California
  • Anastasios Gounaris, Aristotle University of Thessaloniki
  • Vikram Goyal, Indraprastha Institute of Information Technology
  • Qiwei Han, Nova School of Business & Economics
  • Jukka Heikkonen, University of Turku
  • Rezaul Karim, RWTH Aachen University
  • Barrie Kersbergen, University of Amsterdam
  • Hoda Khalil, Carleton University
  • Eric Leclercq, University of Burgundy
  • Zhanhuai Li, Northwestern Polytechnical University
  • Suwen Lin, University of Notre Dame
  • Dongyu Liu, Massachusetts Institute of Technology
  • Guangzhi Ma, University of Technology Sydney
  • Federica Mandreoli, University of Modena & Reggio Emilia
  • Madhulika Mohanty, INRIA Saclay
  • Federico Montori, University of Bologna
  • Lia Morra, Polytechnic University of Turin
  • Kam K.H. Ng, Hong Kong Polytechnic University
  • Eirini Ntoutsi, Bundeswehr University Munich
  • Klea Panayidou, European University Cyprus
  • Guansong Pang, Singapore Management University
  • Symeon Papadopoulos, Information Technologies Institute, FORTH
  • Evangelos Papalexakis, University of California Riverside
  • Jorge Quiane, Technical University of Berlin
  • Elisa Quintarelli, Polytechnic University of Milan
  • Paraskevi Raftopoulou, University of Peloponnese
  • Bhavtosh Rath, University of Minnesota
  • Alejandro Rodriguez, Technical University of Madrid
  • Maximilian Schüle, University of Bamberg
  • Christine Sinoquet, University of Nantes
  • Kostas Stefanidis, Tampere University
  • Maguelonne Teisseire, UMR Tetis
  • Yongxin Tong, Beihang University
  • Dimitrios Tsoumakos, National Technical University of Athens
  • Iraklis Varlamis, Harokopio University
  • Spyros Voulgaris, Vrije Universiteit Amsterdam
  • Xin Wang, Tianjin University
  • Yue Xu, Queensland University of Technology
  • Jianliang Xu, Hong Kong Baptist University
  • Cairong Yan, Donghua University
  • Cho Yin Yiu, Hong Kong Polytechnic University
  • Ye Yuan, NVIDIA Research
  • Demetris Zeinalipour, University of Cyprus
  • Min-Ling Zhang, Southeast University
  • Yong Zhang, Tsinghua University
  • Yifei Zhu, Shanghai Jiao Tong University
  • Yuanyuan Zhu, Wuhan University