Curriculum Vitae
Personal Information
Full name: Pham Thi Tram ANH
Date of birth: 27.08.1996
Nationality: Viet Nam
Address: ***/** ** ***** *****, Ward 9, District 3, Ho Chi Minh City, Viet Nam
Mobile phone: +84-369-***-***
E-mail: adu5bv@r.postjobfree.com
Education
9/2019– 6/2021: CHUNG ANG UNIVERSITY
Degree: Master of Electrical and Electronics Engineering Thesis title: An intelligent analysis of histological images of tissue remodeling using deep learning approach
Grade: GPA: 4.44/4.5
Award: CAYSS (Chung-Ang University Young Scientist Scholarship) scholarship (full tuition and stipend)
9/2014 – 6/2018: VIET NAM NATIONAL UNIVERSITY – HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY
Degree: Bachelor of Biomedical Engineering
Thesis title: Application of mobile EEG equipment for the classification of brain states using the Support Vector Machine (SVM) algorithm
Grade: GPA: 8.31/10
Remark: Comprehensive outstanding student commendation
Personal skills
Skills/Knowledge: SOFTWARE
Microsoft Office, Motic DSAssistant
PROGRAMMING
MATLAB, Python, Tensorflow, Keras, Pytorch, scikit-learn, matplotlib, Ubuntu DATA PROCESS AND ANALYSIS
Signal Processing, Image Processing, Deep Learning, Machine Learning Language: Vietnamese: Fluent
English: Proficient
Korean: Basic
Other Skills: Engagement, Teamwork, Critical-thinking, Problem-solving, Creativity
Working Experiences
9/2021 – 9/2022: EWHA UNIVERSITY-INDUSTRY COOPERATION FOUNDATION Position: Research staff
2 Page
Responsibilities: Collaborate with Inha Hospital to analyse the MRCP images. Academia-industry cooperate with Pixel Inc. regarding defect inspection on PCB images.
12/2018 – 6/2019: GTOPIA TECHNOLOGY JSC
Position: Biomedical Engineer
Responsibilities: Research about ECG, PPG, Cuff-Less Blood Pressure Estimation Algorithms to monitor continuous health care. Collect and process ECG and PPG data.
05/2017 – 08/2017: HOP LUC SOLUTIONS AND SERVICES JSC Position: Intern
Responsibilities: Acquire knowledges of medical device groups such as ambulatory infusion therapy, sequential and gradient compression in the prevention of DVT/ PE, treatment of varicose veins. Plan marketing strategies, group activities.
Research Experiences
Bio-signal Analysis, Image Processing and Machine Learning/Deep Learning 09/2019 – now: INTELLIGENT SENSING AND PROCESSING LABORATORY PROJECTS:
01/2022 – now: Bile duct carcinomas classification using MRCP images Main task: Preprocess MRCP images, train models to classify whether there is obstruction existing along the biliary tree.
Defect Screening on strip level of Printed circuit board Main task: Build and verify deep CNN model for defect classification on different circuit board.
09/2019 – 12/2021: An intelligent analysis of histological images of tissue remodeling using deep learning approach
Main task: Preprocess histology images for training and testing, build CNN model for classification and characterization
Tissue temperature monitoring during thermal injury via ultrasound frames Main task: Perform experiments, process the acquired ultrasound images to calculate the temperature change of bovine liver
Detect heart rate from facial video under near-infrared (IR) light Main task: Process the facial video, compute and analyze the heart rate, post- process the heart rate series and evaluate the metrics 01/2018 – 02/2018: SHORT-TERM EXCHANGE JASSO PROGRAM IN JAPAN Visiting laboratory exchange student at Kyushu University Main task: Perform experiments using EEG device: the 32-channel Poly-mate Pro 01/2017 – 05/2017: ADVANCED PROJECT
Title: “Design ECG data acquisition and processing system and Apply Mediation in Heart Rate Variability Adjustment”
3 Page
Main task: Create program via LabView to design an ECG conversion circuit and HRV calculation circuit, analyze the data before and after mediation based on HRV diagram
Publications/Conferences:
08/2022: T. T. A. Pham, H. Choi and S. Park, "Defect Detection in Printed Circuit Boards Using Semi-Supervised Learning," under reivew.
25/03/2022: T. T. A. Pham, H. Kim, Y. Lee, H. W. Kang and S. Park, "Universal Convolutional Neural Network for Histology-Independent Analysis of Collagen Fiber Organization in Scar Tissue," in IEEE Access, vol. 10, pp. 343**-*****, 2022, doi: 10.1109/ACCESS.2022.3162272.
14/06/2021: T. T. A. Pham, H. Kim, Y. Lee, H. W. Kang and S. Park, "Deep Learning for Analysis of Collagen Fiber Organization in Scar Tissue," in IEEE Access, vol. 9, pp. 101755- 101764, 2021, doi: 10.1109/ACCESS.2021.3097370.
20/01/2021: Jung, H.*, Pham, T.T.A*. and Park, S. (2021), Effect of dual-wavelength (visible and near-infrared) light sources on non-contact heart rate detection. Electron. Lett., 57: 166-168. https://doi.org/10.1049/ell2.12005 06/06/2019: Pham T.T.A*., Nguyen T.D.H*., Le Q.K., Huynh Q.L. (2020) Application of Portable EEG Device in Detection and Classification Drowsiness by Support Vector Machine. In: Van Toi V., Le T., Ngo H., Nguyen TH. (eds) 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7). BME 2018. IFMBE Proceedings, vol 69. Springer, Singapore. https://doi.org/10.1007/978-***-**-****-3_90
06/06/2019: Khai L.Q., Thuy L.N.N., Kien T., Anh P.T.T., Hang N.T.D., Linh H.Q. (2020) Sleep Onset Detection using the Low-Cost Emotiv EPOC Neuroheadset. In: Van Toi V., Le T., Ngo H., Nguyen TH. (eds) 7th International Conference on the Development of Biomedical Engineering in Vietnam (BME7). BME 2018. IFMBE Proceedings, vol 69. Springer, Singapore. https://doi.org/10.1007/978-***-**-****-3_111
Activities
02 – 11/07/2017: SAKURA EXCHANGE PROGRAM IN SCIENCE Exchange student at Kyushu University – Fukuoka City, Japan 2014 – 2018: HO CHI MINH COMMUNIST YOUTH UNION OF THE CLASS Deputy Secretary
Referee
Ph.D. Suhyun Park
Associate Professor
Intelligent Sensing and Processing Laboratory
Department of Electronic and Electrical Engineering Ewha Womans University
adu5bv@r.postjobfree.com