Syed Hasib Akhter Faruqui

Graduate Research Assistant
The University of Texas at San Antonio
Affiliation: Advance Data Engineering Lab
Updated CV : CV

ORCID iD iconhttps://orcid.org/0000-0002-5073-8690

    About Me

    I'm a PhD candidate in Mechanical Engineering Department at UT San Antonio. I am part of Advance Data Engineering Lab working under the supervision of Dr. Adel Alaeddini. My research interests lie at Graphical Models specially Bayesian Networks, scalable graph mining and time series mining.

    Research Work

    I am currently working on developing a reinforcement learning (RL) based framework for dynamic management (and control) of glucose level for Type 2 diabetes mellitus patients. Find more about the work I've done so far on my research experience page .

    News

    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, 2020 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).