About Me

Current Affiliation

I am currently a PostDoctoral Research Associate at Northwestern University. I am working with the Department of Radiology to develop algorithms for AI guided decision making for patients utilizing X-ray's and MRI's.

Past Affiliation

I completed my PhD from Mechanical Engineering Department of UT San Antonio. I was part of Advance Data Engineering Lab working under the supervision of Dr. Adel Alaeddini.

News

March, 2023	I have accepted an offer to join Sam Houston State University as an Assistant Professor in Engineering Technology Department.
July, 2022	Publication available in 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS) (as a co-author), "Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet" (Paper Link).
July, 2022	Publication in Contemporary Clinical Trials (as a co-author), "A Technology Assisted Precision Ketogenic Diet Intervention for Cardio-Renal-Metabolic Health in Overweight or Obese Adults: Protocol for a Randomized Controlled Trial" (Paper Link).
June, 2022	Publication in Frontiers in Marine Science (Section: Ocean Observation), "A Novel Machine Learning Framework with a Moving Platform for Maritime Drift Calculations" (Paper Link).
April, 2022	Received the UTSA Graduate School Outstanding Dissertation Award 2022. (Graduate School News Link)
December, 2021	Publication in IEEE Access, "Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients’ Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions" (IF:3.367). (Paper Link)
October, 2021	Publication in IEEE Access, "A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions" (IF:3.367). (Paper Link)
July, 2021	Accepted offer to join Northwestern University as a PostDoc from Spring 2022.
May, 2021	Upcoming (October 24th, 2021): Invited Session for INFORMS Annual Meeting, Anaheim, California (2021)
May, 2021	1st runner-up of IISE QCRE & DAIS Track Best Student Poster Award Presented our work titled "3D Object Detection for Streamlining Production Processes in a Cloud Manufacturing Infrastructure" in IISE Annual Conference (Virtual) 2021.
March - April, 2021	Conducted Advance Solidworks Workshop for UTSA COE Student Success Center. (Tutorial Link: Link).
December, 2020	Beta version of our Alignment, Detection and Analysis code for off-shore oil and gas rig sensor data has been deployed for testing. (Company: Schlumberger).
November, 2020	Presented two of our work in INFORMS Annual Conference (Virtual) 2020.
November, 2020	Presented our work titled "A Reinforcement Learning Framework for Behavioral Management of Type-2-Diabetes-Mellitus Patients" in IISE Annual Conference (Virtual) 2020. Chi Wen Chang (Mike) presented our joint work titled "A Zone Based Indoor RFID System for Real-Time Personnel Location Tracking" during poster session of IISE Annual Conference (Virtual) 2020.
July 31st, 2020	Our recent manuscript is available on ArXiv now. Link: https://arxiv.org/abs/2007.15847.
April 23rd, 2020	Received UTSA Annual University Life Awards in the category, Outstanding Graduate Student (Collage of Engineering). Article by UTSA CoE and UTSA Today.
April, 2020	Codes and notes from "ME6543: Machine Learning and Data Analytics (Fall 2019)" made available (Link).
March, 2020	Started new project: Alignment and analysis of off-shore oil and gas rig sensor data (Company: Schlumberger).
April, 2020	Publication in JMIR Medical Informatics, Summarizing Complex Graphical Models of Multiple Chronic Conditions Using the Second Eigenvalue of Graph Laplacian: Algorithm Development and Validation (IF:3.188).
March, 2020	Our work on reinforcement learning framework for patient glucose level control has been accepted in IISE Annual Conference 2020.
November, 2019	Presented our work in QSR Best Poster Award Session, INFORMS Annual Meeting 2019.
September, 2019	Publication in JMIR mHealth and uHealth, "Development of a Deep Learning Model for Dynamic Forecasting of Blood Glucose Level for Type 2 Diabetes Mellitus: Secondary Analysis of a Randomized Controlled Trial" (IF:4.301).
May, 2019	Co-chaired QCRE Invited Track Session on "Disease Predictive Modeling and Control" in IISE Annual Meeting and Expo 2019 Presented two of our papers as podium presentation and one of our work in QCRE Best Poster Award Session, IISE Annual Meeting and Expo 2019.
May, 2019	Passed Ph.D. dissertation proposal.
March, 2019	Publication in IISE Transactions on Healthcare Systems Engineering, "An integrated framework for reducing hospital readmissions using risk trajectories characterization and discharge timing optimization" (IF:0.60).
February, 2019	Started new project: RFID based patient monitoring system (in association with Chi Wen Chang (Project Lead).
July, 2018	Publication in PLoS One, "Mining patterns of comorbidity evolution in patients with multiple chronic conditions using unsupervised multi-level temporal Bayesian network" (IF:2.776).
June, 2018	Passed Ph.D. Qualifying Exam.
June, 2018	Started new project: Predicting and Explaining Workplace Safety Incidents using Data Mining Techniques (Company: Andeavor).
August, 2017	Publication in Methods of Information in Medicine, "Mining Major Transitions of Chronic Conditions in Patients with Multiple Chronic Conditions" (IF:1.5).
August, 2017	Publication in IISE Transaction, "A spatiotemporal outlier detection method based on partial least squares discriminant analysis and area Delaunay triangulation for image-based process monitoring" (IF:2.74).