Teresa Wu

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Teresa Wu

Students

Highlight: I have supervised and co-supervised 17 Ph.D. students and currently am advising and co-advising 10 Ph.D. students. I have advised seven master students and nine undergraduate honor theses. Under my supervision, some of my students have won international competitions including:

  • Jiajing Huang awarded Finalist in IISE Annual Conference DAIS Track best paper award in 2021
  • Min Zhang received best dissertation award in School of Computing, Informatics Decisions Systems Engineering, 2015
  • Eugene Jalao received best paper certificate of merit award in WCE conference, 2012.
  • Mengqi Hu won 1st place in System Management Engineering Competition in ISERC (Industrial and System Engineering Research Conference), 2011.
  • Adrian Ramirez Nafarrate received the best student paper award of ACM track from Winter Simulation Conference, 2010.

Postdoctoral Fellows

  1. Hyunsoo Yoon (co-supervised with Dr. Jing Li), 02/2019 – 08/2020
  2. Xianghu Chu, 01/2014- 06/2015
  3. Hang Zhang, 2007-2009

Doctoral Students:

On-Going:

  1. Jiajing Huang (2018 – ), Data Science, Research topic is developing information theoretical approach to baseline construction for building fault detection
  2. Fulin Cai (Fall 2020 – ), CSE, Research topic: Deep Learning on Sensor Data for Health Management
  3. Abhidnya Patharkar (Fall 2020 – ), IE, Research topic: Gaussian Modeling on Sensor Data for Health Management
  4. Matt Liljenstolpe (Fall 2020 – ), Data Science, Research topic: TBD
  5. Jay Shah (Fall 2020 -), CS (co-advise with Dr. Baoxin Li), Research topic: Deep Learning on NeuroImaging
  6. Teng Li (Spring 2021 -), CS (co-advise with Dr. Baoxin Li), Research topic: Deep Learning on Kidney MRI
  7. Mahfuzur Rahman Siddiquee (Spring 2021 – ), CS (co-advise with Dr. Baoxin Li), Research topic: Deep Learning on NeuroImaging
  8. Firas AI-Hindawi (Fall 2021 – ), Data Science, Research topic: Unsupervised Domain Adaptation for Heat Exchanger Design
  9. Kevin You (Fall 2021 – ), IE (co-advise with Dr. Giulia Pedrielli), Research topic: RNA design
  10. Maitry Ronakbhai Trivedi (Spring 2023 – ), Data Science, Research Topic: Imaging and Genomic for AD early detection

Graduated:

  1. Josh Xu (Graduated May 2022), Topic: Novel Computational Algorithms for Imaging Biomarker Identification
  2. Yinlin Fu (Graduated May 2020), Topic: Embedded Feature Selection for Model-based Clustering
  3. Fei Gao (Graduated Dec. 2019) Topic:  Novel Deep Learning Models for Medical Imaging Analysis (Senior Data Scientist, LinkedIn, U.S.A)
  4. Can Cui (Graduated May 2016), Topic: Building Energy Modeling: A Data-Driven Approach (Research Scientist, Intel, U.S.A)
  5. Min Zhang (Graduated May 2015), Topic: Small Blob Detection in Medical Imaging
  6. Miao He (Graduated Dec. 2014), Topic: A Model Fusion based Framework for Imbalanced Classification Problem with Noisy Dataset (Research Scientist at American Express)
  7. Eugene Jalao (Graduated May, 2013, co-advised with Dr. Dan Shunk), Topic: A Pairwise Comparison Matrix Framework for Large-Scale Decision Making (an Associate Professor at University of the Philippines, Philippines)
  8. Mengqi (Brian) Hu (Graduated Aug. 2012, co-advised with Dr. Jeff Weir from Air Force Institute of Technology), Topic: Adaptive Operation Decisions for a System of Smart Buildings
  9. Adrian Ramirez Nafarrate (Graduated Aug. 2011, co-advised with Dr. John Fowler from W. P. Carey Business School at ASU), Topic: Design and Analysis of Ambulance Diversion Policies (a tenure-track Assistant Professor at ITAM-Instituto Tecnológico Autónomo deMéxico, Mexico) 
  10. Shanshan Wang (Graduated Dec., 2010, co-advised with Dr. John Fowler from W. P. Carey Business School at ASU), Topic: Modeling Supply Chain Dynamics with Calibrated Simulation Using Data Fusion (Research Scientist at GE Global Research, USA)
  11. Andrew Feller (Graduated May, 2010, co-advised with Dr. Dan Shunk), Topic: Electronic Business Transaction Infrastructure Analysis Using Petri Nets and Simulation (Vice President Manufacturing at IO Data Center, USA).
  12. Min BAE (Graduated May, 2009, co-advised with Dr. Rong Pan), Topic: Automated Segmentation of Mouse Brain Images (Research Scientist at Samsung, Korean)
  13. Shao-Jen Weng (Graduated Dec., 2008), Topic: A Framework for Efficient Resource Allocation in Healthcare (Professor at Tunghai University, Taiwan)
  14. Fan Li (Graduated Aug., 2008), Topic: Collaborative Product Design Under Uncertainty (currently Research Scientist at JPMorgan, USA)
  15. Michael Chiaramonte (Graduated Feb. 2008, co-advised with Dr. Jeff Cochran), Topic: Competitive Nurse Rostering and Rerostering (Assistant Professor at United States Air Force Academy, USA)
  16. Sandipan Ganguly (Graduated Dec. 2007), Topic: Compromise Based Design: A Penalty Function Approach to Distributed and Collaborative Optimization in Design (currently Research Scientist at Microsoft, USA)
  17. Darshit Parmar (Graduated Dec. 2007), Topic: Mitigating Supply Chain Disruption Risk Using Sense and Respond (SaR) Framework (Senior Managing Consultant at IBM, USA)
  18. Jiun-Yan Shiau (Graduated, Dec. 2002), Topic: a Formalism for conflict detection and resolution in a Multi-agent system (Professor at National Kaohsiung First University of Science and Technology, Taiwan)

*I also partially supported 6 Ph.D. graduates (advisor Dr. Jing Li): Na Zou (supported by DoED), Shuluo Ning (supported by ASU/Mayo seed and NCI R21), Kun Wang (supported by Mayo Foundation), Xiaonan Liu (supported by Mayo Foundation and STTR Phase I), Hyunsoo Yoon (supported by Mayo Foundation), Nathan Gaw (supported by NSF CPS)

Master Students:

On-Going:

  1. Amogh Joshi, CS
  2. Aseem Kabbal, CS

Graduated:

  1. Firas AI-Hindawi (Fulbright Scholar, 2019 – 2021), Topic: Deep learning strategies for critical heat flux detection in pool boiling
  2. Suryadipto Sarkar (2019 –  2021), CSE, Topic: The Applications of Deep Learning in Medical Imaging Analysis
  3. Sudarshan Venkat Ram (Graduated, Dec. 2017, co-advised with Dr. Karl Kempf from Intel). Topic: A data mining approach to customer preference modeling: A case study of Intel Corporation
  4. Gaurav Bansal (Graduated, May 2013, co-advised with Dr. Ross Mitchell from Mayo Clinic), Topic: The Application of Texture Analysis Pipeline on MRE imaging for HCC diagnosis
  5. Nan Xie (Graduated, May 2005), Topic: Design And Prototype Implementation Of A Distributed Information System For Collaborative Product Development
  6. Rajendra Appalla (Graduated, May, 2004), Topic: Supplier Selection using Augmented Data Envelopment Analysis
  7. Vellayappan Chidambaram (Graduated, Dec., 2003), Topic: SCM Risk Management: A Study on Inbound Supply Risk Analysis

Undergraduate Students

On-Going (Honor Thesis):

None

Graduated (Honor Theses):

  1. Elizabeth White (April, 2021), Honor Thesis Topic: Identifying Emerging Technologies and Techniques to Assess Indoor Environmental Quality and its Impact on Occupant Health and Well-Being
  2. Livingstone Labaco Gomez/Gomez/Erin Granillo-Walker (March, 2021), Honor Thesis Topic: Byte-Sized Politics: A Recontextualization of International Relations
  3. Vivek Ajjampur (Graduated, Dec. 2019), Honor Thesis Topic: Fault Detection and Simulation for Large Building HVAC Systems
  4. Lisa Baer (Graduated, May 2017), Honor Thesis Topic: Open-Source Feature Selection Tool for Medical Imaging Diagnosis
  5. Shreya Ramkumar (Graduated, Dec. 2016), Honor Thesis Topic: Texture Analysis of Multiparametric MRI to Distinguish Sinonasal Inverted Papilloma from Squamous Cell Carcinoma
  6. Sophia Bucknell (Graduated, May 2016), Honor Thesis Topic: Cost Driven Agent Based Simulation of the Department of Defense Acquisition System
  7. Danielle Worger (Graduated, May 2013), Honor Thesis topic: Intervention Strategies for the DoD Acquisition Process Using Simulation
  8. Chuan Xu (FURI) (Graduated, May 2012), Honor Thesis Topic: An Integrated Framework for Patient Access Staffing Decision
  9. Antonio J. Moorehead (Graduated, May 2005), Honor Thesis Topic: Multi-stage DEA as a Measurement of Progress in Environmentally Benign Manufacturing

Undergraduate Researchers Funded under NSF REU

  1. Jayme Hernandez (2005)
  2. Anish Chatterjee (2006)