May 2023
Newsletter
President's Message
Greetings!

DAIS brings together members from academia, industry, and government who share a common interest in topics related to research and practice of data analytics and information systems. Over the past year, we have shown that the Division can stay strong and keep providing high-quality services to the community through both established programs and new ideas. As of April 2023, the total number of DAIS members has reached 2437.
 
The 2023 IISE Annual Conference & Expo will take place from May 20–23 at the Hyatt Regency New Orleans, and DAIS received 170 abstracts with 57 full papers. Thanks to the DAIS co-Chairs (Nathan Gaw, Adam Meyers, Chenang Liu and Zimo Wang), Tech Coordinators (Afrooz Jalilzadeh and Avikomborero Matenga), session chairs and authors, the Division organizes 40 sessions including 3 invited sessions and 8 special sessions: 

  • DAIS Best Student Paper Competition
  • Data Analytics Competition
  • DAIS Best Track Paper Competition
  • Web/Mobile App Competition
  • Workshop Tutorial on PyCaret to Automate Machine Learning Workflows
  • ChatGPT for Professionals
  • Multimodal Data Analysis for Systems Improvement
  • DAIS Town Hall
You are also cordially invited to join the DAIS Town Hall meeting to learn about the current status of the DAIS division, many of its exciting activities, and future plans (4:30pm, Monday, May 22, Hyatt - Bolden 2). We look forward to seeing you at the meeting and greatly appreciate your feedback on our current and future initiatives. At the town hall meeting, we will also recognize the winners of DAIS competitions, teaching award and professional achievement award.

I would like to express my gratitude to our president-elect for 2022–2023, Na Zou (Texas A&M University), and current board directors, Nathan Gaw (U.S. Air Force Institute of Technology), Fei Gao (Cruise), Chenang Liu (Oklahoma State University), Haifeng Wang (Mississippi State University), Yu Jin (Binghamton University), Ashif Iquebal (Arizona State), Adam Meyers (University of Miami), Xiaowei Yue (Virginia Tech) and Zimo Wang (Binghamton University), for their contributions to the Division. I would also like to share our election results. Chenang Liu (Oklahoma State University) has been elected as the president-elect for the 2023–2024 academic year, and our new board directors include Yinan Wang (Rensselaer Polytechnic University) Arda Vanli (FAMU-FSU), Cesar Ruiz (University of Oklahoma) and Xiaoyu Chen (University of Louisville). I have no doubt that 2023–2024 will be another fantastic year.

We look forward to seeing you at the 2023 IISE Annual Conference and Expo on the DAIS track and wish everyone a wonderful summer!

Sincerely, 

Xiao Liu (University of Arkansas)
IISE DAIS Division President, 2022-2023
Data Analytics and Information Systems (DAIS) Division New Officers

Based on the recent election results, the DAIS division welcomes the following five officers:

President-elect: Dr. Chenang Liu, Oklahoma State University 
Board director: Dr. Yinan Wang, Rensselaer Polytechnic Institute 
Board director: Dr. Xiaoyu Chen, University of Louisville
Board director: Dr. Cesar Ruiz, University of Oklahoma
Board director: Dr. Arda Vanli, Florida A&M University - Florida State University

We would also like to thank the leaving board members, Dr. Sinan Onal (immediate past president), Dr. Haifeng Wang (board director), Dr. Fei Gao (board director), Dr. Zimo Wang (board director), and Dr. Nathan Gaw (board director) for their past service to the division.
Data Analytics and Information Systems (DAIS) Track Highlights at the 2023 IISE Annual Conference & Expo
As the IISE Annual Conference & Expo 2023 is just around the corner, we would like to present some highlights from the Data Analytics and Information Systems (DAIS) Track. The DAIS Track has a total of 39 sessions, including three invited sessions and nine special sessions (including four competitions and two joint sessions). The presentations will cover various topics including Machine Learning & Artificial Intelligence, Data Analytics & Informatics, and Modeling & Methodological Advancements and a wide range of applications including Manufacturing, Healthcare & Disease, Transportation, Energy & Environment, Social Systems, and more.

We would like to share highlights of the DAIS track sessions at the 2023 IISE Annual Conference & Expo:
DAIS Best Track Paper Competition 
Sunday, May 21, 12:30 - 1:50 p.m.

The finalists are:

“A Convolutional Non-homogeneous Poisson Process to Quantify Wildfire Risk for Power Delivery Networks” 
Authors: Guanzhou Wei, Xiao Liu; Feng Qiu
Institutes: University of Arkansas; Argonne National Lab

“Neural Stochastic Differential Equations Based on the Ornstein-Uhlenbeck Process”
Authors: YongKyung Oh and Sungil Kim
Institutes: Ulsan National Institute of Science & Technology (South Korea)

“Instance Selection via Voronoi Neighbors for Binary Classification”
Authors: Ying Fu, Kaibo Liu, and Wenbin Zhu
Institutes: University of Wisconsin-Madison

“Interpretation and Visualization of Distance Covariance with Additive Decomposition of Correlations Formula”
Authors: Andi Wang and Hao Yan; Juan Du
Institutes: Arizona State University; Hong Kong University of Science and Technology
DAIS Best Student Paper Competition
Sunday, May 21, 2:00 - 3:00 p.m.

The finalists are:
 
“Data Quality Improvement and Geometric Information Recovery for Manufacturing Thermography with Spatial-Temporal Fast Fourier Transform”
Student: Boyang Xu
Faculty Advisor: Shenghan Guo
Institute: Arizona State University

“POMADE: Physics-informed Multi-fidelity, Multi-modality 3D Shape Modeler”
Student: Michael Biehler
Faculty Advisor: Jianjun Shi
Institute: Georgia Institute of Technology

“D-optimal Data Fusion: Exact and Approximation Algorithms”
Student: Yongchun Li
Faculty Advisor: Weijun Xie
Institute: Georgia Institute of Technology

“EBLIME: Enhanced Bayesian Local Interpretable Model-agnostic Explanations”
Student: Yuhao Zhong
Faculty Advisor: Satish Bukkapatnam
Institute: Texas A&M University
DAIS Web/Mobile App Competition
Monday, May 22, 8:00 a.m. - 9:20 a.m.

The finalists are:

Group 1:
Organization/University: Binghamton University
Faculty Advisor: Yong Wang
Team: Abdulraqeb Al-Sarori and Anas Abujaber

Group 2:
Organization/University: Virginia Polytechnic Institute and State University; Rensselaer Polytechnic Institute; Tindall Co.; Fluence Energy
Faculty Advisor: Zhenyu (James) Kong
Team: Rongxuan Wang; Yinan Wang; Sonam Devadiga; Issac Perkins
DAIS Data Analytics Competition
Monday, May 22 at 11:00 a.m. - 12:00 p.m.

The finalists are:

Team 1: Weijun Shen, Rayne Wolf, Gowtham Senthil-Kumar, Jacob Rice, James Sandine
Advisor: Hantang Qin
Institute: University of Wisconsin-Madison

Team 2: Chengyu Tao, Xuanming Cao, Peng Ye
Advisor: Juan Du
Institute: The Hong Kong University of Science and Technology (Guangzhou)

Team 3: Maryam Kheirandish Borujeni, Jose Carlos Hernandez Azucena, Seyyed Farid Hashemian
Advisor: Shengfan Zhang
Institute: University of Arkansas

Team 4: Arun Sivakumar, Anisha Patel, Ananth Chalumuru
Advisor: Ilyas Ustun
Institute: DePaul University
Joint Sessions and Special Sessions

The Joint Sessions include:

“Multimodal Data Analysis for Systems Improvement”
Monday, May 22, 11:00 AM - 12:20 PM
(joint session with Quality Control and Reliability Engineering Division)

“Recent and Ongoing Research Overview at SIAC Group of ISyE at Georgia Tech”
Monday, May 22, 2:00 PM – 3:20 PM
(joint session with Quality Control and Reliability Engineering Division)

Other Special Sessions include:

“Workshop Tutorial on PyCaret to Automate Machine Learning Workflows”
Sunday, May 21, 11:00 AM - 12:20 PM

“Chat GPT - What You Need To Know, For Now”
Monday, May 22 at 12:30 PM - 1:50 PM

The DAIS Town Hall Meeting is scheduled on Monday, May 22 at 4:30 pm- 5:50 pm. 

We look forward to seeing you soon!
2023 IISE DAIS Track Chairs
Nathan Gaw (Nathan.Gaw@afit.edu)
Adam Meyers (axm8336@miami.edu
Chenang Liu (chenang.liu@okstate.edu)
Afrooz Jalilzadeh (afrooz@arizona.edu)
Zvikomborero Matenga (zvikomatenga1@gmail.com)
DAIS Member Research Gallery
Our research gallery is available at https://www.iise.org/details.aspx?id=872.
DAIS Spotlight
In this issue of DAIS newsletter, we feature the Data Science Program in the University of Arkansas. The detailed story of this program is presented here.
Have you considered a corporate membership? If not, why? Companies large and small enjoy the benefits. Include your entire team and receive all the benefits of individual membership, plus lowest rates to attend the Conferences and much more.
 
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