Message from the Division President
Dear fellow QCRE members,
Welcome to IISE Quality Control and Reliability Engineering (QCRE) division. I'm humbled and honored to serve as the division president for 2021-2022. QCRE has been a home community since I was a graduate student, and I'm looking forward to working with you to facilitate the growth of QCRE. On behalf of the QCRE board, I have some great news and initiatives to share with you.
QCRE has announced the Industrial Data Challenge Competition, sponsored by ProcessMiner, an industry expert that delivers predictive analytics and optimization for complex manufacturing processes. The first prize comprises a plague and a cash award of $2000, and the second prize comprises a plague and a cash award of $1000. This wonderful opportunity is open to all IISE members. Please encourage your students to patriciate and don't hesitate to contact Dr. Ranjan (cranjan@processminer.com) or Dr. Xiang (yisha.xiang@ttu.edu) if you have any questions.
Do not miss the fantastic webinar on October 13, 3-4pm (Eastern Time) and the great opportunity to interact with Dr. Hui Yang, professor at Penn State and a prominent leader of industrial and systems engineering. Dr. Yang will share his exciting work on "Sensor-based Modeling and Optimization of Additive Manufacturing."
The Zoom information is below.
Meeting ID: 969 0834 5006
I would like to welcome two new student board members, Yue Shi from Texas Tech and Yinan Wang from Virginia Tech. The student involvement is critical to the success of any professional community, and we would like to hear more from students. The student board membership initiative is a great opportunity for students to voice their inputs, build professional networks, develop leadership skills, and shape the future of QCRE.
Last but definitely not the least, we are featuring Dr. Ahmed Aziz Ezzat Ahmed in this issue of the newsletter. Dr. Ahmed is a young leader of IISE and a current QCRE board member. He discusses his exciting experience with our QCRE division.
We, as a board, are elected to serve you and would love to hear from you. If you have any suggestions/questions/concerns; or are interested to participate in any new or ongoing initiatives, please do not hesitate to contact myself or any board members.
Sincerely,
Linkan Bian, Ph.D.
IISE QCRE Division President (2021-2022)
Thomas B. & Terri L. Nusz Associate Professor
Industrial and Systems Engineering
Mississippi State University
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QCRE Board of Directors (2021-2022) |
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Introduction to New Student Board Members
Yue Shi is a Ph.D. student in the Department of Industrial, Manufacturing & Systems Engineering at Texas Tech University. She received her B.S. in Ecommerce from Guangdong University of Foreign Studies, China and M.S. in Management Science and Engineering from Sun Yat-sen University, China. Her research interests include sequential decision-making, maintenance optimization, and multivariate degradation modeling. She was the recipient of the 2021 IISE QCRE Best Track Paper Award and the Doug Ogden Best Paper Award from Society of Reliability Engineers in 2019. She is a student member of IISE and INFORMS.
Yinan Wang received the B.S. degree in electrical engineering and automation from Xi'an Jiaotong University, Xi'an, China, in 2017, the M.S. in electrical engineering from Columbia University, New York, NY, USA, in 2019. Currently, He is a Ph.D. candidate at the Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA. His research interests include data analytics, system pattern recognition, machine learning techniques in material/system design, and advanced manufacturing. He is a student member of ASA, ASME, ASQ, IISE, INFORMS, and ISA. He is a recipient of the Best Poster Award from NAMRC/MSEC 2021, Gilbreth Memorial Fellowship from IISE, and Educational Foundation Scholarship from ISA. He serves as a student board member of the QCRE division in IISE, and the president-elect of the INFORMS student chapter at Virginia Tech.
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2021 IISE Annual Conference & Expo QCRE Award Winners
Winner of the QCRE Best Track Paper Award
"Joint Optimization of Resource Allocation and Imperfect Maintenance Planning
for a Multi-facility Infrastructure System"
Yue Shi and Yisha Xiang - Texas Tech University
Winner of the QCRE Best Student Paper Award
"Online Domain Adaptation for Continuous Cross-subject Liver Viability
Evaluation Based on Irregular Thermal Data"
Sahand Hajifar - University at Buffalo
Advisor: Dr. Hongyue Sun
Winner of the QCRE Best Student Poster Award
"Physics-constrained Deep Learning for High-dimensional Predictive Modeling "
Jianxin Xie - Oklahoma State University
Advisor: Dr. Bing Yao
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Call for Participation: QCRE & ProcessMiner Industrial Data Challenge Competition
The QCRE division of IISE is inviting all IISE members to participate in the 2022 QCRE Data Challenge Competition at the 2022 Institute of Industrial and Systems Engineers Annual Conference, May 21-24, 2022. This year's QCRE Data Challenge problem is sponsored by ProcessMiner Inc. ( https://processminer.com/). In this data challenge, a research problem to advance the field of deep learning is posed to participants. Participants are encouraged to work in teams and to start soon to make the best use of the duration of the challenge. There is no limit on the number of participants allowed in one team.
The finalist teams will be required to present their work at the 2022 IISE Annual Conference. For more details about the challenge description and requirements, please refer to the following CFP: https://lnkd.in/dpSr6qTx .
- Deadline: April 29, 2022
- First Prize: Plaque & $2,000
- Second Prize: Plaque & $1,000
For inquiries and registration, please contact the competition steering committee: Dr. Chitta Ranjan (ProcessMiner Inc.) at cranjan@processminer.com and Dr. Yisha Xiang (Texas Tech University) at yisha.xiang@ttu.edu
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Upcoming QCRE Webinar
Sensor-based Modeling and Optimization of Additive Manufacturing
Abstract: Additive manufacturing (AM) provides a greater level of flexibility to produce a 3D part with complex geometries directly from the design. However, the widespread application of AM is currently hampered by technical challenges in process repeatability and quality control. To enhance the in-process information visibility, advanced sensing is increasingly invested for real-time AM process monitoring. The proliferation of in-situ sensing data calls for the development of analytical methods for the extraction of features sensitive to layer wise defects, and the exploitation of pertinent knowledge about defects for in-process quality control of AM builds. As a result, there are increasing interests and rapid development of sensor-based models for the characterization and estimation of layer wise defects in the past few years. However, there is a dearth of concentrated implementation of Six-Sigma quality management approaches for quality control of AM builds. In this talk, we present new data-driven analytical methods, including deep learning, machine learning, and network science, to characterize and model the interrelationships between engineering design, machine setting, process variability and final build quality. Further, this talk will demonstrate the methodologies of ontology analytics, design of experiments (DOE) and simulation analysis for AM system improvements. In closing, new process control approaches will be discussed to optimize the action plans, once an anomaly is detected, with specific consideration of lead time and energy consumption.
Dr. Hui Yang is a Professor of Industrial and Manufacturing Engineering, Bioengineering at Penn State, and is affiliated with Penn State Cancer Institute (PSCI), Clinical and Translational Science Institute (CTSI), Institute for Computational and Data Sciences (ICDS), CIMP-3D. Currently, he serves as the PI and site director of NSF Center for Health Organization Transformation (CHOT). Dr. Yang was the president (2017-2018) of IISE Data Analytics and Information Systems Society, the president (2015-2016) of INFORMS Quality, Statistics and Reliability (QSR) society, and the program chair of 2016 IISE Annual Conference. He is also a department editor for IISE Transactions Healthcare Systems Engineering, an associate editor for IISE Transactions, IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Automation Science and Engineering (TASE), IEEE Robotics and Automation Letters (RA-L), Quality Technology & Quantitative Management, and an Associate Editor for Proceedings of IEEE CASE, IEEE EMBC, and IEEE BHI.
Time: Wednesday Oct. 13, 3-4 pm EST.
Meeting ID: 969 0834 5006
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QCRE Member Spotlight - Dr. Ahmed Aziz Ezzat
In each issue of the QCRE newsletter, we feature one outstanding QCRE member who has demonstrated excellence in the QCRE related fields, and the member can be from academia, industry or a student.
In this issue of QCRE newsletter, we feature our outstanding member, Dr. Ahmed Aziz Ezzat. Dr. Aziz Ezzat is an Assistant Professor of Industrial & Systems Engineering (ISE) at Rutgers University. He received his Ph.D. in ISE from Texas A&M University in 2019, and his B.Sc. and M.Sc. degrees in Industrial & Management Engineering from the Arab Academy for Science and Technology in Alexandria, Egypt, in 2013 and 2016, respectively. At Rutgers, Dr. Aziz Ezzat oversees the Renewables and Industrial Analytics (RIA) research group which conducts research on energy analytics and materials informatics through a data science and systems engineering lens. His research has been funded by the National Science Foundation (NSF), Institute of International Forecasters (IIF) and SAS corporation, Rutgers Energy Institute, as well as industry. He is a recipient of the 2020 IIF-SAS® research award, the 2020 Rutgers OAT Teaching Award, the 2019 ISEN Outstanding Graduate Student at Texas A&M, First Place at the QSR Student Poster and Interaction Competition at the 2017 INFORMS Annual Meeting, and the IISE Sierleja Memorial Fellowship in 2014. He is now serving as a board member at the IISE QCRE and ES divisions, and is a member of INFORMS, IEEE-PES, and IISE.
Here is Dr. Ahmed Aziz Ezzat's Story with QCRE.
What is your current position and role?
I am an Assistant Professor of Industrial & Systems Engineering at Rutgers University, where I oversee the Renewables & Industrial Analytics (RIA) research group, and teach ISE courses related to data analytics and operations research.
What are your experiences with QCRE division at IISE?
I have been a member of QCRE since my second year as a PhD student at Texas A&M. Ever since, I have been regularly participating in QCRE-related activities (organizing QCRE sessions, presenting at IISE conferences, etc.) I am now even more excited to be serving as part of the QCRE board, where I look forward to contributing to the division's growth and expansion.
How have these experiences helped you in preparing yourself for your career?
Over the years, QCRE has provided me with a wonderful platform to make new friends, reconnect with colleagues and mentors, share my research interests, and overall, grow as an academic. Going from "member" to "board member," there is even so much more to learn and achieve.
What are the achievements you are proudest of?
I am very happy to have kicked off my research group and set up my research lab at Rutgers (amid a global pandemic!) Recently, we have started exciting projects at the interface of data and wind energy sciences, as well as on machine learning for material failure prediction. I am also proud to be officially involved with QCRE-As a newly elected board member, one of my first tasks will be to enhance QCRE's "digital signature" by contributing to our PR efforts, together with my colleagues at the QCRE board, so we can reach out to as many IISE and non-IISE members as possible.
Any suggestions to future fellow students?
Networking! There is a decent likelihood that every QCRE connection you make may be your future friend, your colleague, your mentor, or even your future job interviewer. Also, actively participate in session organization, and professional social activities early on-You may make few mistakes in the beginning (as I did), but ultimately it will surely pay off!
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Call for Entries to the Division's Quarterly Newsletter
The division is publishing its quarterly newsletters and hereby soliciting news entries. This is a great opportunity to showcase interesting yet impactful researches, professional practices and educational efforts within the division. The solicited story will go into the following blocks in the newsletter: Research on the News, Practical Applications, and Education and Outreach. It would be great if you could:
1. Prepare your story write-up within 300 words (write it in plain language for diverse audiences).
2. Provide a nice picture together with the story.
3. Provide a link (if possible) to a detail version of the story (hyperlink to your project public webpage, etc.).
Please email your information and materials to Dr. Chen Kan at chen.kan@uta.edu Your entry will appear in the next available division newsletter.
PDF version of our newsletters are available for our members on the IISE Connect (QCRE division Library folder), as well as our Facebook Page, LinkedIn Profile, and Twitter.
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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.
Contact Doug Long IISE Global Director for Strategic Alliances for more details.
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