Nguyen Tran Lan Anh's Photo

Anh T.L. Nguyen

Ph.D. Candidate


 Department of Computer Science and Engineering
 University of Colorado, Denver
 1380 Lawrence Street, Denver, CO 80204

 Lab: LW-822 (Lawrence Street Center)
 Email: anh [dot] t4 [dot] nguyen [at] ucdenver [dot] edu


My name is Anh Nguyen and I am currently a Ph.D candidate in the Department of Computer Science and Engineering at the University of Colorado Denver (UCD). I currently work with Dr. Tam Vu in association with the Mobile and Networked Systems Lab. On this website, I document my research on ubiquitous and mobile computing systems with focus on utilizing mobile sensing for healthcare applications.

I received my Master degree in 2012 from the Chonnam National University in South Korea, advised by Professor Guee-Sang Lee, where I conducted research on pattern recognition, machine learning, and visual information processing. In addition to my research experience, I’ve gained valuable didactic knowledge from being a lecturer for 2 years in the Faculty of Mathematics and Computer Science in the University of Science, VNU-HCMC in Vietnam.


Education

2014 - Now

 Ph.D. Candidate in Computer Science

University of Colorado, Denver, USA
Advisor: Prof. Tam Vu

2010 - 2012

 M.Sc. in Computer Science

Chonnam National University, Gwangju, South Korea
Thesis: Location based Active Contour Model for Object Segmentation from Natural Color Images
Advisor: Prof. Guee-Sang Lee

2005 - 2009

 B.Sc. in Mathematics and Computer Science

University of Science, VNU-HCMC, Vietnam
Thesis: Fingerprint identification system in banking transactions
Advisor: Prof. Pham The Bao


LIBS

LIBS - A Light-weight & Inexpensive In-ear Bioelectrical Sensing System

Sleep occupies nearly a third of human life and acts as a critical daily function to help human body balance and regulate its vital system. Precisely doing sleep quality assessment requires a simultaneous evaluation of three fundamental bioelectrical signals generated by brain activities, eye movements, and muscle contractions during sleep. However, the “gold standard” sleep diagnostic tool is currently cumbersome, expensive, and inconvenient in use. This work aims at developing a costly effective mobile in-ear sensor capable of non-obtrusively capturing such three important biosignals with high fidelity and accurately monitoring sleep of sleeping users.

Under Development ...

mSleepWatcher

mSleepWatcher - An Understanding of Bedroom Environment for Good Sleep

Monitoring sleep has recently become more demanding than ever before. A great night’s sleep essentially depends on various factors in the bedroom environment. This project aims at developing a smart system working on sensors built in wearable and mobile devices for automatically revealing both common and uncommon interconnections between the bedroom environment and human sleep quality. It then assists users to make more informed decisions about how to adjust their personal sleep environment so that they can wake up with refreshing feeling each morning.

Under Development ...

Android Resource

Android Resource Access Permission Recommendation System

Recently mobile apps have made tremendous impact on businesses, social, and lifestyle. With the exponential growth of mobile devices and apps, it becomes prominent to prevent user privacy leakage. In current Android architecture, users themselves have to make a decision of whether an app is safe to use or not. This type of security mechanism, however, has been proven ineffective to protect them from malicious apps. In this project, we propose an Android permission control framework to assist mobile users to grant all resource access requests while installing and using an app based on crowdsourcing.

Thermal Comfort

Individualization of Thermal Comfort of Building Occupants

Thermal comfort of building occupants is always a major criterion in evaluating the performance of building systems and a dominant factor in designing and optimizing building operation. This project aims at developing a novel wearable device that is able to provide real-time, unobtrusive, and location-specific thermal comfort assessment of building occupants through their vital and physiological data and then integrate directly with building operating systems to dynamically bring the building into its most comfortable condition for every individual.

Read more ...


Refereed Conference Proceedings


  1. Matthan: Drone Presence Detection by Identifying Physical Signatures in the Drone’s RF Communication ACM MobiSys 2017 - The ACM International Conference on Mobile Systems, Applications and Services, June 2017.
    Phuc Nguyen, Hoang Truong, Mahesh Ravindranathan, Anh Nguyen, Richard Han, and Tam Vu
    (34 out of 188 submissions, acceptance ratio: 18%)

  2. Whole Night Sleep Monitoring with a Low-cost In-ear Wearable Device
    ATS International Conference 2017 - The American Thoracic Society International Conference, May 2017.
    Anh Nguyen, Zohreh Raghebi, Farnoush Banaei-kashani, Thang Dinh, Ann C. Halbower, and Tam Vu

  3. A Lightweight And Inexpensive In-ear Sensing System For Automatic Whole-night Sleep Stage Monitoring - Best Paper Award
    SenSys 2016 - The ACM Conference on Embedded Networked Sensor Systems, November 2016.
    Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, and Tam Vu
    (21 out of 119 submissions, acceptance ratio: 17.6%)
    Paper: PDF - Presentation: YouTube Link

  4. LIBS: a low-cost in-ear bioelectrical sensing solution for healthcare applications
    ACM MobiCom - S3 2016 - The ACM International Conference on Mobile Computing and Networking - The Eighth Wireless of the Students, by the Students, and for the Students Workshop, October 2016.
    Anh Nguyen, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, and Tam Vu
    Paper: PDF

  5. Android Permission Recommendation using Transitive Bayesian Inference Model
    ESORICS 2016 - The European Symposium on Research in Computer Security, September 2016.
    Bahman Rashidi, Carol Fung, Anh Nguyen, and Tam Vu
    Paper: PDF

  6. In-ear Biosignal Recording System: A Wearable For Automatic Whole-night Sleep Staging
    ACM MobiSys - WearSys 2016 - The ACM International Conference on Mobile Systems, Applications and Services - Workshop on Wearable Systems and Applications, June 2016.
    Anh Nguyen, Raghda Alqurashi, Zohreh Raghebi, Farnoush Banaei-kashani, Ann C. Halbower, Thang Dinh, and Tam Vu
    Paper: PDF

  7. Investigating Cost-effective RF-based Detection of Drones
    ACM MobiSys - DroNet 2016 - The ACM International Conference on Mobile Systems, Applications and Services - Workshop on Micro Aerial Vehicle Networks, Systems, and Applications for Civilian Use, June 2016.
    Phuc Nguyen, Mahesh Ravindranathan, Anh Nguyen, Richard Han, and Tam Vu
    Paper: PDF

  8. Sensing Occupant Comfort using Wearable Technologies: A Pilot Study
    ASCE CRC 2015 - Construction Research Congress - American Society of Civil Engineers
    Moatassem Abdallah, Caroline Clevenger, Tam Vu, and Anh Nguyen
    Paper: PDF

  9. mSleepWatcher: Why didn’t I sleep well?
    ISSAT MCSE 2015 - ISSAT International Conference on Modeling of Complex Systems and Environments, June 2015.
    Anh Nguyen, Raghda Alqurashi, Ann C. Halbower, and Tam Vu
    Paper: PDF

  10. 3D Human Face Recognition Using Sift Descriptors of Face’s Feature Regions
    New Trends in Computational Collective Intelligence 2014
    Nguyen Hong Quy, Nguyen Hoang Quoc, Nguyen Tran Lan Anh, Hyung-Jeong Yang, and Pham The Bao
    Paper: PDF

  11. Object Segmentation based on Location Information for Level Set Method
    ICUIMC 2013 - The 7th International Conference on Ubiquitous Information Management and Communication, January 2013.
    Nguyen Tran Lan Anh, Vo Quang Nhat, and Guee-Sang Lee
    Paper: PDF

  12. Fast Automatic Saliency Map driven Geometric Active Contour Model for Color Object Segmentation
    ICPR 2012 - The 21st International Conference on Pattern Recognition, November 2012.
    Nguyen Tran Lan Anh, Vo Quang Nhat, Elyor Kodirov, Soo-Hyung Kim, and Guee-Sang Lee
    Paper: PDF

  13. Morphological Gradient Applied to New Active Contour Model for Color Image Segmentation
    ICUIMC 2012 - The 6th International Conference on Ubiquitous Information Management and Communication, February 2012.
    Nguyen Tran Lan Anh, Young-Chul Kim, and Guee-Sang Lee
    Paper: PDF

  14. Object Segmentation in Color Images using Distance Regularized Level Set
    ICONI 2011 - The 3rd International Conference on Internet, December 2011.
    Nguyen Tran Lan Anh, Nguyen Huy Hoang, Le Thi Khue Van, and Guee-Sang Lee
    Paper: PDF

  15. Camera Based Motion Tracking by Camera Images
    HCI 2011 - The Conference on Human-Computer Interaction, 2011.
    Nguyen Tran Lan Anh, Jeong-Hwan Kim, and Guee-Sang Lee
    Paper: PDF

Refereed Journal Articles


  1. Color Image Segmentation using a Morphological Gradient-based Active Contour Model
    IJICIC 2013 - International Journal of Innovative Computing Information and Control
    Nguyen Tran Lan Anh, Soo-Hyung Kim, Hyung-Jeong Yang, and Guee-Sang Lee
    Paper: PDF

  2. Proximity based Object Segmentation in Natural Color Images Using Level Set Method
    IEICE 2013 - Transactions on Fundamentals of Electronics, Communications, and Computer Sciences
    Nguyen Tran Lan Anh and Guee-Sang Lee
    Paper: PDF

  3. Color Image Segmentation using Distance Regularized Level Set
    KSII 2012 - Journal of Korea Society for Internet Information
    Nguyen Tran Lan Anh and Guee-Sang Lee
    Paper: PDF

  4. Fingerprint Authentification System in Banking Transaction
    GESTS 2011 - GESTS International Transactions on Computer Science and Engineering
    Nguyen Tran Lan Anh, Phan Thi My Dung, and Pham The Bao
    Paper: PDF

Thesis


  • Location based Active Contour Model for Object Segmentation from Natural Color Images
    Master's Thesis in Computer Science
    Chonnam National University, Gwangju, South Korea, 2012

  • Fingerprint Identification System in Banking Transactions [Vietnamese]
    Bachelor's Thesis in Mathematics and Computer Science
    University of Science, VNU-HCMC, Vietnam, 2009


University of Colorado Denver


University of Science, VNU-HCMC


  • Spring 2014
    • Advanced Machine Learning - Teaching Assistant
    • Discrete Maththematics
    • Object Oriented Programming
  • Fall 2013
    • Pattern Recognition
    • Discrete Mathematics
    • Introduction of Machine Learning - Teaching Assistant
    • Data Structure and Algorithms - Lab Instructor
  • Spring 2013
    • Object Oriented Programming
    • Algorithm Analysis - Lab Instructor
  • Fall 2012
    • Discrete Mathematics


  • Best Paper Award, ACM SenSys (Nov. 2016)
  • NSF Student Travel Grant from CRA-Women Grad Cohort Workshop (Apr. 2015) and ACM SenSys (Nov. 2016)
  • Student Travel Grant from Broadening Participation Workshop hosted by ACM Ubicomp (Sept. 2014)
  • Academic Achievement Award at Chonnam National University (Korea, 2012)
  • Annual Global Graduate Scholarship at Chonnam National University (Korea, 2010 – 2012)
  • Annual scholarships of Vietnamese Government for excellent students at University of Science (VNU-HCMC) 2006 - 2009

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