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Houston, TX
December 17-19, 2018

Plenary Speakers

Travel & Lodging

Conference Venue

BioScience Research Collaborative (BRC) Building,

Rice University
6500 Main Street
Houston, TX  77030

Lodging Information

Note, this is a busy time of year with several large events being held in Houston. Please make your hotel reservations early!


A discounted rate $149.00 for a standard room is currently available until November 20th 2018, or until sold out, whichever comes first.  This is a limited room block, so make your reservation today.

Group Code: BIG

Hilton Hotel-Medical Center (0.2 miles away)

6633 Travis St Houston TX 77030

Phone: (713) 313-4000


George Bush Intercontinental Airport

William P. Hobby Airport

Visitor Parking

Paid visitor parking is located in a parking garage beneath the BRC. All parking can be accessed by credit card. Use the same credit card to exit at the end of the day. All-day parking costs $12. For additional information go to Parking for Visitors.

Campus Shuttle Service

Shuttle busses pick up and drop off at bus shelters and marked bus stops (red circles on above map) every 10 minutes. For additional details see Campus Bus Routes. Rice shuttles can be tracked on your computer at and on your iPhone or Andriod. The app allows faster loading of the route map, viewing all the buses on the routes and their locations in real time. The buses are color coded to enable the passengers to identify the buses with colored bus symbols.

Transportation from Hotels

All hotels offer free shuttles that will drop you off at the Rice University BioScience Research Collaborative. Please arrange shuttle service with the hotel well in advance of when you need it.

Limo and Cab Service

Limo Service

Merlo’s Limousines & Charters
Phone: 866-367-5466

Taxi Service

Yellow Cab 713-236-1111
Fiesta Cab713-225-2666
United Cab 713-699-0000

Uber also operates in Houston.

Invited Sessions

  • All Sessions
    Date, Time and EventRoom
    Session Chair: Session #
    Auditorium R106 R280 R282 R284 R285 R286
    8:30-9:00AM Opening Ceremony Host: Hulin Wu
    9:00-10:00AM Plenary Talk 1 Peter Spirtes Chair: Stacia M. DeSantis
    10:20-12:00PM Parallel Session 1 Hongyu Miao: 10 Nan Zhang: 33 Nan Shao: 24 Rene Vidal: 5 Jiang Xue: 36 Folefac Atem: 9 Dongmei Li: 12
    1:30-2:30PM Plenary Talk 2 Philip E. Bourne Chair: Yu-Ping Wang
    2:50-4:30PM Parallel Session 2 Dabao Zhang: 31 Dongmei Li: 13 Yiwen Liu: 7 Jianfeng Cai: 4 Cuneyt Gurcan Akcora: 26 Kai Zhang: 23 Ashraf Yaseen: 1
    4:30-7:30PM Poster session and reception Event Room
    9:00-10:00AM Plenary Talk 3 Zongben Xu Chair: Jianhong Wu
    10:20-12:00PM Parallel Session 1 Ying Lin: 30 Huaizhen QinHu: 6 Yang Ni: 34 Cici Bauer: 3 Jing Qin: 2 Shusen Yang: 37 Dao-Qing Dai: 22
    1:30-2:30PM Plenary Talk 4 Zhi-Hua Zhou Chair: Christopher Jermaine
    2:50-4:30 Parallel Session 2 Eric Laber: 18 Thiebaut Rodolphe: 25 Sui Tang: 41 Yang Ni: 39 Yiwen Liu: 8 Dakai Zhu: 29 Jiming Peng: 27
    4:50-6:30 Parallel Session 3 Hulin Wu: 32 Peijun Sang: 15 S. Ejaz Ahmed: 16 Genevera Allen: 19 Yufei Huang: 40 Wenbo Wu: 35 Cici Bauer: 21
    Appreciation dinner by invitation only Hilton Hotel
    9:00-10:00AM Plenary Talk 5 C. L. Philip Chen Chair: Yufei Huang
    10:20-12:00PM Parallel Session 1 Guihong Fan: 42 Dakai Zhu: 28 S. Ejaz Ahmed: 17 Sherry Wang: 43 Michael Swartz: 38 Hongjian Zhu : 44 Leqin Wu: 11
    1:30-2:00PM Poster Award Ceremony Host: Jose-Miguel Yamal
    2:00-3:00PM Plenary Talk 6 Sofia Charlotta Olhede Chair: Jose-Miguel Yamal
    3:20-5:00PM Parallel Session 2 Genevera Allen: 20 Liang Li: 14 Bei Jiang: 45
    5:00PM Conference closed
  • Conference Event Schedule

    Dec 17 (Monday)

    • 7:30-8:30AM: Breakfast and registration
    • 8:30-9:00AM: Conference Opening
    • 9:00-10:00AM: Plenary session 1
    • 10:00-10:20AM Coffee Break
    • 10:20AM-12:00PM 7 parallel sessions
    • 12:00-1:30PM Lunch will be provided
    • 1:30-2:30PM Plenary session 2
    • 2:30-2:50PM Coffee Break
    • 2:50-4:30PM 7 parallel sessions
    • 4:30-7:30PM Exhibition, poster session and reception
      • Drinks and finger food will be provided

    Dec 18 (Tuesday)

    • 7:30-9:00AM: Breakfast and registration
    • 9:00-10:00AM: Plenary session 3
    • 10:00-10:20AM Coffee Break
    • 10:20AM-12:00PM 7 parallel sessions
    • 12:00-1:30PM Lunch will be provided
    • 1:30-2:30PM Plenary session 4
    • 2:30-2:50PM Coffee Break
    • 2:50-4:30PM 7 parallel sessions
    • 4:30-4:50 Coffee Break
    • 4:50-6:30PM 7 parallel sessions
    • 7:00-9:30PM Appreciation dinner for committee members, plenary speakers, session organizers and supporting staff (by invitation only)

    Dec 19 (Wednesday)

    • 7:30-9:00AM: Breakfast and registration
    • 9:00-10:00AM: Plenary session 5
    • 10:00-10:20AM Coffee Break
    • 10:20AM-12:00PM 7 parallel sessions
    • 12:00-1:30PM Lunch will be provided
    • 1:30-2:00PM Poster award ceremony
    • 2:00-3:00PM Plenary session 6
    • 3:00-3:20PM Coffee Break
    • 3:20-5:00PM 7 parallel sessions
    • 5:00PM Conference closed
  • Plenary Session

    Plenary Talks

    1. Peter Spirtes, PhD
      Professor of Philosophy and Center for Automated Learning and Discovery, Department of Philosophy Dietrich College of Humanities and Social Sciences, Carnegie Mellon University, USA
      Talk Title: Recent Methodological Advances in Automated Causal Discovery from Big Data
    2. C. L. Philip Chen, FIEEE, FAAAS, FIAPR
      Chair Professor, University of Macau, China
      Talk Title: Big Data analytical: Computational Intelligence Approach and Prospect in Future Applications
    3. Zongben Xu, PhD
      Professor of Mathematics & Computer Science, Academician of the Chinese Academy of Sciences, School of Mathematics & Statistics, Xi’an Jiaotong University, China
      Talk Title: Small Sample Learning in Big Data Era
    4. Zhi-Hua Zhou, PhD, FACM, FAAAI
      Professor and Head, Department of Computer Science and Technology, Dean of the School of Artificial Intelligence, Nanjing University, China
      Talk Title: An exploration to non-NN style deep learning based on non-differentiable modules
    5. Philip E. Bourne, PhD, FACMI
      Stephenson Chair of Data Science, Director of the Data Science Institute, Professor of Biomedical Engineering, University of Virginia, USA
      Talk Title: Big Data & Analytics Across the Interdisciplinary Divide
    6. Sofia Charlotta Olhede, PhD
      Professor, Department of Statistical Science, Honorary Professor, Department of Computer Science, University College London, UK
      Talk Title: A Broad Perspective on Network Testing
  • Invited & Contributed Sessions

    Invited Sessions by Talk Titles

    1. Algorithmic Foundation for Big Data 1
    2. Algorithmic Foundation for Big Data 2
    3. New techniques for analyzing high dimensional data
    4. Subspace Recovery in Big Data
    5. Efficient Algorithms for Large Scale Optimization
    6. From association to causation in genomic, epigenomic and imaging data analysis
    7. Emerging Methods for Big Data
    8. Novel Methods in Data Science
    9. Cancer Screening and Outcome Research using Big Data
    10. Big Data at UTHealth: Use of the Public Genetic Database, GEO, for Big Data Research
    11. Statistical Methods for Large-scale Network Analyses
    12. Big data inference and prediction
    13. Genetic big data analysis
    14. Novel statistical methods for Big Data with biomedical applications
    15. Statistical Methodology for Big Data
    16. Bioinformatics Big Data
    17. Statistical theories for Big Data
    18. Precision Medicine at the Statistical and Applied Mathematical Sciences Institute
    19. Statistical Machine Learning
    20. Algorithms and Applications in Statistical Machine Learning
    21. Signal Representation and Predictive Modeling of Physical Activity Data
    22. Representation learning models and applications
    23. Big Data in Environmental Research
    24. Recent advances in deep learning and machine learning for electronic health records (EHR) data
    25. Predicting health outcomes from administrative claims data and electronic health records
    26. Future of Blockchain from a Big Data Perspective
    27. Data driven model in learning and optimization
    28. Technologies in Big Data Applications 1
    29. Technologies in Big Data Applications 2
    30. Novel Methods for Large-scale Data Analysis
    31. New Advances in Big Network Analysis
    32. EHR Big Data at UTHealth: Personalized Vasopressor Treatments for Subarachnoid Hemorrhage Patients Based on EHR Data
    33. Novel Methods for Big Data
    34. Scalable statistical computation algorithms for large medical data
    35. Recent Development in Theory and Application of Big Data Problems
    36. Algorithms for Big Data Analysis 1
    37. Algorithms for Big Data Analysis 2
    38. Propensity Scoring Methods for big data sets
    39. Statistical Testing for High-dimensional Data
    40. Deep Learning for Biological and Biomedical Big Data Analysis
    41. Infectious Disease Data Modeling 1
    42. Infectious Disease Data Modeling 2
    43. EHR and Healthcare Big Data
    44. Statistical Methods for Big Data
    45. Big Data for Decision-Making

4th International Conference on Big Data and Information Analytics

Theories, Algorithms and Applications in Data Science

December 17-19, 2018

Purpose: The conference will bring together research scientists from academia, industries, and government agencies to report progress and exchange ideas to address challenges in fundamental research and rapid knowledge translation in collecting, processing, analyzing, integrating, annotating and visualizing Big Data for scientific exploration and business decision-making.

This will be the fourth meeting of the annual conference series previously held in China (1st and 2nd meetings) and Canada (3rd meeting).


Texas Medical Center
BioScience Research Collaborative
6500 Main Street
Houston, TX 77005 - USA

Our Objectives:
  • To exchange and stimulate innovative ideas of state-of-art data science approaches and technologies to collect, process, analyze, integrate, annotate and visualize Big Data.
  • To promote interactions and collaborations among all scientists, researchers and practitioners who develop data science theories, algorithms and methods to deal with and analyze Big Data from different perspectives such as computer science, statistics, mathematics and other quantitative/computational sciences as well as domain-specific applications.
  • To present the novel findings and share experience of Big Data application projects and practice from academia, industries and governments.
  • To nurture and cultivate a new generation of interdisciplinary data scientists.
The conference will consist of
  • Plenary sessions
  • Invited sessions
  • Contributed sessions
  • Poster sessions
  • Tutoring and exhibition sessions on Big Data products and tools

  • Fundamental theories for Big Data analytics
    • Statistical theories for Big Data
    • Computer science theories for Big Data
    • Mathematical theories for Big Data
  • Big Data computing: Architecture, database, algorithm, platform, visualization
  • Artificial Intelligence (AI) for Big Data
  • Application areas:
    • EHR and health care Big Data
    • Bioinformatics
    • Imaging data
    • Precision medicine
    • Big Data prediction and decision-support systems
    • Finance and economics
    • Wearable or mobile device data
    • Internet business
Themes & Topics


Key Dates and Venue:
  • May 1-September 15, 2018: Website will be open for registration and abstract submission for all invited sessions, contributed sessions, and poster sessions including the poster award competition registration.
  • September 30, 2018: All official invitation letters are sent out for visa applications (international speakers and attendees).
  • Conference Venue: The BioScience Research Collaborative (BRC), Rice University, Texas Medical Center, 6500 Main Street, Houston, TX 77005-1892
  • Conference dates: December 17-19 (Monday-Wednesday), 2018

Contact Us

For more information, contact us at:


Abstract/Paper Submissions

Poster Award Competition

Publications in Special Issue


  • Plenary Sessions
  • Invited Sessions
  • Contributed Sessions
  • Poster Sessions
  • Please visit IEEE Manuscript Templates for paper preparation requirements.


  • Eligibility: Registered students and postdocs as first or co-first author on the poster
  • Need to submit an abstract before the deadline
  • Cash Award: 1st ($500), 2nd ($300) and 3rd prize ($200)

Accepted papers will be recommended and published in special issues of the following journals if appropriate:


Extended to September 15 2018

  • Regular registration up to September 15th, 2018: $380 for regular registration and $200 for student.
  • Late registration after September 15th, 2018: $480 for regular registration and $240 for student.


  • Organizing Committee

    General Chair: Prof.Xu, Zongben (Xi’an Jiaotong University, China, IEEE SMC member)


    • Fasli, Maria  (University of Essex, UK)
    • Guo, Yike  (Imperial College London, UK)
    • Jermaine, Christopher (Rice University, USA)
    • Ordonez, Carlos (University of Houston, USA)
    • Reid, Nancy  (University of Toronto, Canada)
    • Wu, Hulin Committee Chair (University of Texas Health Science Center at Houston, USA)
    • Wu, Jianhong  (York University, Canada)
    • Xu, Zongben  (Xi’an Jiaotong University, China)
    • Zhou, Zhi-Hua  (Nanjing University, China)
  • Program Committee


    • David Banks (Duke University and Statistical and Applied Mathematics Sciences Institute, USA)
    • Jianhong Wu (York University, Canada, IEEE SMC Member)


    • Ahmed, S. Ejaz, Professor of Math & Statistics, Dean, Faculty of Math & Science, Brock University, Canada
    • Allen, Genevera, Associate Professor of Statistics, Rice University, USA
    • Cao, Jiguo, Canada Research Chair in Data Science, Associate Professor, Department of Statistics and Actuarial Science, Simon Fraser University, Canada
    • Dai, Dao-Qing, Professor of Mathematics, Sun Yat-sen University, China    
    • DeSantis, Stacia M, Associate Professor, University of Texas Health Science Center at Houston, USA
    • Gao, Weiguo, Professor, Fudan School of Data Science,  Fudan University, China
    • Gel, Yulia, Professor, University of Texas at Dallas, USA
    • Li, Dongmei, Associate Professor, University of Rochester, USA
    • Li, Liang, Associate Professor of Biostatistics, MD Anderson Cancer Center, USA
    • Lin, Zhouchen, Professor of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, China        
    • Ma, Ping, Professor of Statistics, University of Georgia, USA
    • Peng, Jiming, Associate Professor, Department of Industrial Engineering, University of Houston, USA
    • Thiébaut, Rodolphe, Professor and Deputy Director,  the INSERM U897 “Epidemiology & Biostatistics” research centre and professor in Public Health / Biostatistics at the University of Bordeaux, France
    • Wang, Yu-Ping, Professor of Biomedical Engineering, Tulane University, USA
    • Wu, Yichao, Professor, Department of Mathematics, Statistics and Computer Science, University of Illinois at Chicago, USA
    • Xiong, Momiao, Professor, University of Texas Health Science Center at Houston, USA
    • Xing, Qiu, Associate Professor, Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, USA.
    • Zhang, Kai, Assistant Professor, University of Texas Health Science Center at Houston, USA
    • Zhao, Yichuan, Professor of Statistics, Georgia State University, USA
  • Committee for Peer-Reviewed Track


    • Ordonez, Carlos(University of Houston, USA)

    Co Chair:

    • Yaseen, Ashraf (University of Texas Health Science Center at Houston, USA)
  • Local Organizing Committee


    • Bauer, Cici(University of Texas Health Science Center at Houston, USA)
    • Xiong, Momiao(University of Texas Health Science Center at Houston, USA)
    • Yaseen, Ashraf (University of Texas Health Science Center at Houston, USA)
  • Award Committee


    • Miao, Hongyu (University of Texas Health Science Center at Houston, USA)
    • Yamal, Jose-Miguel  (University of Texas Health Science Center at Houston, USA)
  • Publication Committee


    • Bao, Weidong IEEE Contact (National University of Defense Technology, China)
    • Meng, Deyu (Xi'an Jiaotong University, China) 
    • Zhu, Xiaomin (National University of Defense Technology, China)


Gold - $6,000
  • Two 5x2' tables + 4 chairs
  • 8 registration tickets
  • 8 parking validations each day
  • Company banner display
  • Organization's name & logo in print on a shared 7x2 pop up banner
  • Logo on BigDIA Program
  • Logo on BigDIA website
Silver - $4,000
  • One 5' table + 2 chairs
  • 5 registration tickets
  • 5 parking validations each day
  • Company banner display
  • Organization's name (no logo) in print on a shared 7x2 pop up banner
  • Logo on BigDIA Program
  • Logo on BigDIA website
Bronze - $2,000
  • One cocktail style table
  • 3 registration tickets
  • 3 parking validations each day
  • Organization's name in print on a shared 7x2 pop up banner and BigDIA Program
  • Logo on BigDIA website