Dr. Diem Tran | ECG processing | Best Researcher Award

VietNam National University | Vietnam

PUBLICATION PROFILE

Orcid

šŸ“˜ INTRODUCTION

Dr. Diem Tran is a distinguished academic and professional in the fields of electronics, telecommunications, and computing systems, with over 15 years of experience. Her journey is marked by a solid foundation in science and engineering, coupled with significant achievements in education, industry, and applied research. From developing Vietnamā€™s first IC to contributing to neural network research in Japan, Dr. Tran has carved a unique space for herself as both a mentor and an innovator.

šŸŽ“ EARLY ACADEMIC PURSUITS

Dr. Tran began her academic path at Vietnam National University ā€“ University of Natural Sciences, where she studied Electronics Physics from 2002 to 2006. She maintained a GPA of 7.61 and secured an impressive thesis score of 9.5/10, ranking 3rd out of 50 students. Her thirst for deeper knowledge led her to pursue a Masterā€™s degree in Electronics and Telecommunications, graduating with a GPA of 7.65 and topping her class. Furthering her interdisciplinary interests, she also completed finance and banking courses in 2014, adding a layer of business understanding to her technical expertise.

šŸ’¼ PROFESSIONAL ENDEAVORS

Dr. Tranā€™s career began as a lecturer at the University of Science, Vietnam, where she served from 2006 to 2019. Her teaching responsibilities included subjects such as C language, Data Structures, Algorithms, Computer Architecture Lab, and VLSI. Her passion for guiding students in their thesis work also marked her tenure. She expanded her technical horizons as a consultant at VSMC, contributing to synthesis design and IC layout, and later joined Esilicon, where she played a key role in ASIC flow development, using tools like VCS, PrimeTime, and ICC. Since 2014, she has also managed an online sales business, handling logistics and staff while distributing pet housing products across Ho Chi Minh City.

šŸ”¬ CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Tranā€™s technical contributions are extensive, particularly in IC design and neural network implementation. At VSMC, she helped design and physically implement Vietnamā€™s first digital power management controller, VS8881A. At Esilicon, she worked on ALU architecture, timing delay analysis with Nanotime, and floor planning for RAM-based layouts. During her PhD at NAIST in Japan, her research pivoted to AI and neural networks, where she explored PCA, ANN, CNN, and SNN models. She implemented these systems using Python, Pytorch, TensorFlow, and deployed solutions on FPGA platforms, integrating software and hardware through tools like Vivado_HLS.

šŸŒ IMPACT AND INFLUENCE

Throughout her career, Dr. Tran has impacted both academia and industry in Vietnam and abroad. Her work in IC development laid foundational stones in the countryā€™s semiconductor industry. As an educator, she influenced generations of students, instilling both theoretical depth and practical knowledge. Her transition into AI and FPGA platforms positions her as a bridge between classical electronics and modern machine learning applications, inspiring cross-disciplinary innovation.

šŸ“š ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Tranā€™s doctoral research culminated in several publications that gained international recognition. Her work was awarded Best Paper at the 4th International Conference on Recent Advances in Signal Processing, Telecommunications & Computing in 2020, and she received the Best Student Paper Award at the 4th Conference on Computing, Electronics & Communications Engineering in 2021. These recognitions highlight the global relevance and rigor of her work.

šŸ† HONORS & AWARDS

Over the years, Dr. Tran has earned multiple prestigious awards. These include a High Speed PCB Design Certificate in 2005, recognition at the VEF Summer Seminar in 2008, and the Toshiba Scholarship in Japan the same year. Her academic excellence was further acknowledged through a NAIST scholarship from 2019 to 2022. The accolades she received at international conferences reflect her active engagement in the research community and her ability to deliver impactful work.

šŸ”® LEGACY AND FUTURE CONTRIBUTIONS

Dr. Tranā€™s legacy is reflected in the success of her students, the innovation she brought to semiconductor design in Vietnam, and her cross-disciplinary work in AI and image processing. As she looks to the future, she is well-positioned to lead initiatives at the intersection of AI, hardware acceleration, and education. Her plans may involve mentoring, research leadership, or launching tech-driven startups, all aimed at uplifting the next wave of tech talent.

šŸ“ FINAL NOTE

Dr. Diem Tran exemplifies what it means to be a lifelong learner, passionate educator, and forward-thinking engineer. Her journey from classroom teaching to advanced chip design and AI research demonstrates a rare combination of adaptability and vision. Her story inspires not only those in STEM but anyone aiming to leave a meaningful legacy in both local and global communities.

Ā šŸ“šĀ TOP NOTES PUBLICATIONS

MINA: A Hardware-Efficient and Flexible Mini-InceptionNet Accelerator for ECG Classification in Wearable Devices

    • Authors: Hoai Luan Pham, Thi Diem Tran, Vu Trung Duong Le, Yasuhiko Nakashima

    • Journal: IEEE Transactions on Circuits and Systems I: Regular Papers

    • Year: 2025

    • DOI: 10.1109/TCSI.2025.3553837

Training SNNs Low Latency Utilizing Batch Normalization Through Time and Iterative Initialization Retraining

    • Authors: Thi Diem Tran, Huu Han Hoang

    • Conference: International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

    • Year: 2023

    • DOI: 10.1109/ICAIIC57133.2023.10067096

    • WOSUID: WOS:001012997600047

A Novel Approach for Long ECG Synthesis Utilize Diffusion Probabilistic Model

    • Authors: Diem Thi Tran, Quoc Ngoc Tran, Thi Thu Khiet Dang, Dat Hoang Tran

    • Conference: 2023

    • DOI: 10.1145/3591569.3591621

Self-Adaptive Threshold Clustering in Abnormal Cardiac Beat Detection on Lightweight Embedded Devices

    • Authors: Thi Diem Tran, Ngoc Quoc Tran, Thi Thu Khiet Dang, An Dong Bui

    • Conference: 2022 IEEE 8th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

    • Year: 2022

    • DOI: 10.1109/icsima55652.2022.9929228

SLIT: An Energy-Efficient Reconfigurable Hardware Architecture for Deep Convolutional Neural Networks
Diem Tran | ECG processing | Best Researcher Award