Congratulations to student Nguyen Trung Kien, ID: 21521024, majoring in Computer Science, for outstandingly obtaining an IELTS certificate with a score of 6.5. Wishing you continued success in your studies with the best achievements! UIT always encourages students to cultivate and enhance their foreign language skills, aiming towards a generation of global citizens and well-rounded exemplary students. For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid022TFrEgXXjhwJQYBCaj4aa... Hai Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Authors: Dr. Abdur Razzaque, Md. Rezaul Karim As artificial intelligence rapidly advances, propelled by progress in neural networks (NN) and deep learning (DL), the commercialization of the Internet of Things (IoT) is reaching its peak. With increased investments in smart cities, smart healthcare, and Industrial Internet of Things (IIoT), the monetization of IoT will soon be at its zenith, necessitating the scalable processing of vast amounts of data generated by IoT devices. This hands-on deep learning course for IoT delves deeper into IoT data, starting by introducing how DL aligns with the context to make IoT applications smarter. It then covers building deep architectures using TensorFlow, Keras, and Chainer for IoT. Participants will learn how to train convolutional neural networks (CNN) for developing applications such as road defect detection based on images, intelligent waste separation, implementing smart lighting control through voice, and accessing smart homes provided by recurrent neural networks (RNN). Mastery of localizing IoT applications indoors, predictive maintenance, and device positioning in a large hospital using automatic encoding, DeepFi, and LSTM networks will be achieved. Moreover, participants will learn to develop IoT applications for healthcare with enhanced IoT security. By the end of this book, readers will have enough knowledge to effectively use deep learning to make their IoT-based applications smarter. What You Will Learn Familiarize yourself with various neural network architectures and their suitability in IoT Understand how deep learning can enhance predictive power in your IoT solutions Capture and process streaming data for predictive maintenance Choose optimal frameworks for image recognition and indoor localization Analyze voice data for speech recognition in IoT applications Develop deep learning-based IoT solutions for healthcare Enhance security in your IoT solutions Visualize analyzed data to discover detailed insights and make accurate predictions Who This Book Is For This book is for IoT developers, data scientists, or deep learning enthusiasts looking to apply deep learning techniques to build intelligent IoT applications. Familiarity with machine learning, a basic understanding of IoT concepts, and some experience in Python programming will help you leverage this book to the fullest. Table of Contents The Ultimate Lifecycle of IoT Deep Learning Architecture for IoT Image Recognition in IoT Sound/Voice/Speech Recognition in IoT Indoor Localization in IoT Physiological and Psychological States - Detection in IoT Security and Privacy for IoT Predictive Maintenance for IoT Deep Learning in Healthcare IoT What's Next: Summary and Future Directions Course Material for the subject: Artificial Intelligence for IoT (Course Code: CE344) Readers interested in this material are welcome to borrow it from the library or read it on-site. Detailed Information: https://www.facebook.com/LibUIT.Fanpage/posts/pfbid02UvCVTtNWDXKix73KMdQVmaWfMaqkj3zPoFgAKKtvHTa3jMWvfBFe16EhccAN1HjCl Hạ Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

Authors: Dr. Nguyen Gia Tuan Anh, MSc. Nguyen Van Kiet, Dr. Do Trong Hop, MSc. Luu Thanh Son This course material is designed for the subject: Data Preprocessing and Dataset Construction (DS103). The curriculum aims to provide learners with foundational knowledge about data, real-world data types, methods of data collection, and data preprocessing techniques to construct a clean dataset. Additionally, the material introduces learners to exploratory data analysis methods, extracting valuable information from datasets to address real-life problems. Lastly, it imparts knowledge and procedures for labeling data, facilitating the creation of labeled datasets for analysis tasks or supervised machine learning model development to solve real-world problems in data science. The documentation has been processed and presented on the shelf to meet the needs of readers. For further details, please visit: https://www.facebook.com/LibUIT.Fanpage/posts/pfbid02fH5BexvW7E6B7AMWpjHpRFtvXPxTSarHSari33opUBokgzU5sjtWsKYYSebPrgNbl Hạ Băng - Media Collaborator, University of Information Technology English version: Phan Huy Hoang

Congratulations to student Nguyen Trong Nguyen, Student ID: 20521677, from the Faculty of Computer Networks & Communications for excellently achieving the IELTS 7.0 certificate. We wish you continued success in your studies with the best achievements! UIT always encourages students to cultivate and enhance their language skills, aiming towards a generation of global citizens and comprehensive student role models. For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid031z4TGpVywmi6pL... Hai Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Congratulations to student Vu Hoang Quan, Student ID: 20521799, from the Faculty of Information Science & Engineering for outstandingly achieving the JLPT N3 Japanese language certificate. We wish you continued success in your studies with the best achievements! UIT always encourages students to cultivate and enhance their language skills, aiming towards a generation of global citizens and comprehensive student role models. For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid02chtw6UMNMFdK Hai Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Dear esteemed teachers and students, Within the framework of the 2023 Academic Seminar Series organized by the Faculty of Computer Networks and Communications, we are pleased to invite you to the 10th Research Seminar in 2023 with the following details: Topic: "FormerLeaf: An Efficient Vision Transformer for Cassava Leaf Disease Detection" Speaker: MSc. Thai Huy Tan – Lecturer, Faculty of Computer Networks and Communications Time: 10:00 AM, Friday, December 22, 2023 Venue: Room E8.3 Details about the content and the speaker are provided in the attached file. We cordially invite teachers and students interested in the topic to attend. For further information, please contact: Nguyen Khanh Thuat (email: thuatnk@uit.edu.vn). Best regards. Top of Form For more details, visit: https://nc.uit.edu.vn/nckh/nghien-cuu/thu-moi-tham-du-seminar-nckh-lan-10-nam-2023-khoa-mmttt.html Dong Xanh - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

The transition from being more "playful" than "studious" is how Cao Thi Bich Phuong (born in 2001) described her initial days stepping into university, embracing the vibrant city life. However, after a period of personal transformation, Phuong became the Female Valedictorian of the Information Security program (High-Quality Program) at the University of Information Technology (UIT) - Ho Chi Minh City National University. Once a Girl More "Playful" than "Studious" Choosing a major is a challenging decision for many high school students when they stand at the threshold of university life. However, for Bich Phuong, this was a relatively straightforward choice as she had identified her passion since high school. Phuong explained, "I chose the Information Security major because of my interest in exploring and experimenting with computer usage, and partly because the major sounded really cool. After starting my studies, I realized that Information Security is not only 'cool' but also very useful and fascinating. It is the right choice for personal development and contributing positively to the information security of society." Bich Phuong explored various sources of information, carefully considered her options, and decided to entrust her youth to UIT for four years. She shared, "I chose UIT because it is one of the most prestigious universities in the country for Information Technology. I believe that with a modern learning environment, superior teaching quality, and a highly qualified faculty, UIT will be an ideal environment for me to study, conduct research, and have a good career in the future." Entering university with many aspirations, Phuong, like many freshmen, initially fell prey to the allure of the dynamic city life, emphasizing entertainment over academic activities. The young girl, far from home for the first time, was captivated by the vibrant lifestyle, leading her to prioritize leisure activities over studies. At that time, she was more concerned about going out than engaging in academic pursuits, resulting in less-than-expected academic performance in her first year. Conscious Change and Academic Success Realizing that she had deviated from her path, Bich Phuong was determined to change herself. She said, "From those failures, I learned a lot about self-management, setting goals, and determination. I also learned to balance between study and other recreational activities." These setbacks contributed significantly to Phuong's personal growth, and she changed herself every day to progress quickly. On this journey, the support of teachers, friends, and family was indispensable and served as motivation for Phuong to strive forward. "If You Want to, You Will Find a Way" The evidence of Phuong's effort is a series of admirable achievements in both academic and extracurricular activities. Besides being the Female Valedictorian in Information Security (High-Quality Program), she repeatedly received UIT's Encouragement Scholarships. The 2001-born student became a 5-Star Student at both the Faculty and University levels for three consecutive years, achieving the title of Advanced Youth Following Uncle Ho's Words - in the field of academic study and scientific research in 2023. Additionally, Bich Phuong is passionate about sports. To achieve impressive academic achievements, Phuong applied various study methods, such as "planning study schedules, creating a positive learning environment, prioritizing important tasks, building an effective time management plan, participating in study groups, seeking support from those around me, and maintaining a positive mindset," shared Phuong. Starting internships in the third year, Bich Phuong accumulated considerable practical experience before graduating. Because of her strong foundation of knowledge and skills, Phuong found a job that aligned with her field of study and is determined to grow with it. She hopes to apply the knowledge gained into practice, learn from experienced colleagues, and enhance her professional knowledge and work experience daily. From the experiences she gathered during her university studies, the young lady wants to offer advice to new students: "They should balance between studying and having fun." Phuong believes that, "If you want to, you will find a way; if you don't, you will find an excuse." With determination and genuine effort, no goal is too difficult. By Thuy Linh - UIT Admissions For more details, visit: https://tuyensinh.uit.edu.vn/hanh-trinh-thay-doi-cua-nu-thu-khoa-me-choi-hon-me-hoc Written by: Ha Bang Translated by: Ngoc Diem

Title of the paper: "Fast Camera Motion Compensation Based Kalman Filter and Cascade Association for Multi-object Tracking" Paper Link: https://link.springer.com/chapter/10.1007/978-3-031-42430-4_1 Students involved: Đỗ Thanh Tùng – KTMT2019 - primary author Chế Quang Huy – KTMT2018 – co-author Supervisor: ThS. Trương Văn Cương Summary of the paper: In the realm of modern multi-object tracking, the proposed method balances the trade-off between precision and runtime. The approach divides the tracking process into two steps: the detection process to locate objects in the image and the tracking process to assign identities to each result from the object detection. In this research, the team optimizes the tracking process by generalizing the BYTE technique (Cascade Association) and integrating camera motion compensation into the Association phase. Our proposed KCM-Track tracking system establishes state-of-the-art accuracy on the MOT17 dataset using MOT's main metrics: MOTA, IDF1, and HOTA. On the MOT17 benchmark, it achieves 80.6% MOTA, 79.7% IDF1, and 64.6% HOTA while maintaining a tracking speed of 314FPS. The student expresses deep gratitude to ThS. Trương Văn Cương – the lecturer at the Faculty of Computer Science. He has been a constant companion, providing support and guidance throughout the research. He identified limitations and suggested ideas that helped them achieve positive results in this study. Thanks to him, they have been able to accumulate valuable experience and knowledge for themselves, confidently moving forward on their path. ACIIDS 2023 is an international scientific conference on intelligent information and database systems, held in July 2023 in Phuket, Thailand. The conference aims to provide an international forum for scientific research on intelligent information systems and databases. ACIIDS is ranked B in the CORE ranking. The proceedings of ACIIDS 2023 will be published by Springer. https://aciids.pwr.edu.pl/2023.%C2%A0 For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid029awReL9WVDqqT8aL4CQFf8MqUJ2on7dKQY1gaggbS5tLPPWm8FzYWeyVvgf5siNql Written by: Hai Bang Translated by: Ngoc Diem

The outstanding individual in question is none other than Tran Kim Ngoc Ngan, a student in the Talented Computer Science program, majoring in Computer Science. Despite being only a second-year student, Ngoc Ngan has already had 2 papers accepted for publication at the SoICT2023 conference. She is a member of the executive board of the Wanna.W1n club, an intern at the Information Security Laboratory (InSecLab), and has achieved many commendable accomplishments. Image: Tran Kim Ngoc Ngan - NVCC. When the love for security blossoms Ngoc Ngan began her interest in information technology when exposed to the Pascal programming language in secondary school. Through the process of self-improvement, she has become increasingly fascinated by the field of computer science, especially in the area of security. According to Ngoc Ngan, becoming a member of Team Q - the Wanna.W1n club (InSecLab) has been a significant turning point in her scientific research journey: "Thanks to being selected for the club, despite the high competition rate, I had the opportunity to connect with colleagues and enthusiasts. I participated in various competitions and research projects, all thanks to the guidance of the club's advisors." Image: Ngoc Ngan's team taking a photo with mentors at InSecLab - NVCC. A brilliant journey Tran Kim Ngoc Ngan is currently a member of the executive board of the Wanna.W1n club and an intern at InSecLab. During her time at UIT, she participated in various competitions such as the Euréka semifinals, the AI Challenge HCMC 2023 finals, and the SoICT Hackathon 2023 organized by the Hanoi University of Science and Technology. In the SoICT Hackathon 2023, she competed in the AI-Powered BFIS track (Banking, Finance, Insurance, and Securities) sponsored by the Joint Stock Commercial Bank for Foreign Trade of Vietnam (Vietcombank) and won third prize. In addition, Ngoc Ngan also engaged in scientific research and co-authored 2 papers accepted for publication at the SoICT 2023 conference. For her, each research project and every signed "Tran Kim Ngoc Ngan" on competition entries represents the dedication and enthusiasm of youth. All her achievements until this moment are like "spiritual children" that she holds dear. Image: Ngoc Ngan's Doppelganger team participating in the AI Challenge HCMC 2023 finals - NVCC. Unspoken challenges "behind the glamour" To achieve the impressive accomplishments mentioned above, Ngoc Ngan had to face many trials and challenges. As a newcomer, determining the topic, handling documentation difficulties, and even the presentation style and language used in scientific research posed significant obstacles. This required Ngoc Ngan to continually learn from competition experiences and research projects, gradually overcoming her lack of experience. Image: Ngoc Ngan's Shark-eyes team participating in the Euréka semifinals - NVCC. Additionally, balancing time between study, extracurricular activities, and scientific research was a challenging task for Ngoc Ngan. She had to plan meticulously, marking tasks for each week to meet deadlines for all three areas. For example, she would dedicate time to scientific research and the club if there were no practical classes that week. Furthermore, she always focused wholeheartedly during all core study hours to effectively grasp important concepts from lecturers. For Ngoc Ngan, studying at class and conducting scientific research are equally demanding tasks, with research often taking precedence. The "rose" amidst the computer science community As a female student in information technology, Ngoc Ngan has experienced moments of overwhelm and occasional pressure due to perceived inferiority to male counterparts. However, she doesn't believe that being a "woman" puts her at a disadvantage, especially at UIT. "In research groups, being the youngest, I receive a lot of care and attention from teachers and seniors. Not only that, at school, our girls often receive more attention from lecturers and senior students than boys." Ngoc Ngan shared, "In the Talented Science program, there are only 5 female students, but the class size is up to 30 students! Initially, I was worried about not fitting in because of the few female students, but over time, I got used to it. Our girls never lack gifts on holidays, and we receive many privileges every day, so there's nothing to fear. I am very grateful to everyone around me who has helped make my learning environment so wonderful." Image: Ngoc Ngan participating in the AI Challenge finals with Team Q - Wanna.W1n - NVCC. After the achievements Ngoc Ngan has attained, the first people she expresses gratitude to are her family - a solid spiritual support always encouraging and supporting her in terms of both health and mental well-being. Alongside this, she deeply thanks the "beloved home InSecLab" - a place that has accompanied and supported her during this period, and the Wanna.W1n club - a place that always provides opportunities for her to participate in various competitions and scientific research projects. Above all, she sincerely appreciates those who have consistently supported and encouraged Trần Kim Ngoc Ngan on this challenging yet joyful scientific research journey. Brief summary of Tran Kim Ngoc Ngan's achievements: Member of the executive board of the Wanna.W1n club. Intern at the Information Security Laboratory (InSecLab). Participated in the Euréka semifinals. Participated in the AI Challenge HCMC 2023 finals. Won third prize in SoICT Hackathon 2023 organized by the Hanoi University of Science and Technology - AI-Powered BFIS track sponsored by Vietcombank. Co-authored 2 papers accepted for publication at the SoICT 2023 conference. Dong Xanh - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

The Computer Networks & Communications Faculty, University of Information Technology (UIT), organized a ceremony to honor and reward students who achieved high results in academic competitions in 2023. Congratulations to the students who have achieved impressive results in prestigious academic competitions in 2023, adding many achievements, pride, and recognition to the Faculty and UIT as a whole! Below is the list of UIT students who were honored and rewarded by the Faculty on the morning of December 15, 2023: UIT.purf3ct - First Prize in ASEAN Cyber Shield 2023: - Nguyen Dang Nguyen (Student ID: 20520256) - To Dinh Nguyen (Student ID: 20521683) - Phan Vinh Khang (Student ID: 20521439) - Le Khac Trung Nam (Student ID: 21522358) UIT.Wolf_Brigade - First Prize in Attack-defense in the ASEAN Student Cybersecurity Competition 2023: - Le Phu Duc (Student ID: 21521962) - Nguyen Huu Duong (Student ID: 21520757) - Le Mau Anh Phong (Student ID: 21520087) - Le Khac Trung Nam (Student ID: 21522358) UIT.Oppenheimer - Second Prize in Attack-defense in the ASEAN Student Cybersecurity Competition 2023: - Nguyen Duy Huy (Student ID: 21520042) - Vo Nguyen Chuong (Student ID: 21520011) - Hua Minh Duy (Student ID: 22520313) - Ngo Vinh Huy (Student ID: 22520556) VulnSense - Third Prize and Student Research Award at Euréka Competition: - Dao Duc Vu (Student ID: 22520007) - Le Cong Trinh (Student ID: 19522404) - Trinh Minh Hoang (Student ID: 19521548) - Vu Trung Kien (Student ID: 19521722) UIT.EXOcism - Encouragement Prize in Jeopardy at the ASEAN Student Cybersecurity Competition 2023: - Pham Chau Viet Chanh (Student ID: 22520146) - Nguyen Thai Binh (Student ID: 21521877) - Tran Gia Nghia (Student ID: 21521185) - Dinh Thanh Phat (Student ID: 21520083) W1_BlazeWarriors - Encouragement Prize in AI Challenges Competition: - Bui Vuong Tam Anh (Student ID: 22520039) - Phan Hoang Phuoc (Student ID: 22521156) - Tran Thi Cam Giang (Student ID: 22520361) - Ngo Duc Hoang Son (Student ID: 19522137) - Nguyen Hung Thinh (Student ID: 20521963) UIT_W1_Doppelganger - Third Prize in SOICT Hackathon 2023 - Vietcombank Track: - Phan Nguyen Huu Phong (Student ID: 22521090) - Tran Kim Ngoc Ngan (Student ID: 22520002) - Tran Dinh Khoa (Student ID: 22520689) - Bui Vuong Tam Anh (Student ID: 22520039) - Le Hoang Phuc (Student ID: 20521762) With recognition and appreciation from the Faculty and the university, it is hoped that these students will continue to strive and make even greater efforts to achieve new successes and share their knowledge with the UIT student community. For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid02B66FjUGGN14PxWB5... Hai Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

According to SVVN - Che Quang Huy (born in 2000) is a dual-major student in Computer Engineering and Computer Science at University of Information Technology (UIT). Recently, he graduated with distinction in both majors, becoming the first dual-major graduate of the university. In addition to his outstanding academic performance, Quang Huy has a special passion for scientific research, actively participating in academic clubs, with the Embedded Programming Club CEEC (Computer Engineering Faculty) being the place where he nurtured the intention to pursue dual majors. Dual-major studies require students to absorb a vast amount of knowledge. Initially, Quang Huy faced many challenges: "I had to organize my time reasonably. Instead of needing much more time to study all the subjects in both majors, I registered for more courses in one semester than my peers. Additionally, when carrying out the procedures for dual-major graduation, I encountered some confusion, but the relevant departments of the university provided enthusiastic support for me to complete the procedures as smoothly as possible." Highlights of Che Quang Huy's achievements in activities and research: Published 6 international scientific papers and 1 national paper. Member of CEEC academic club since 2018, serving as Head of the Executive Board for over a year and Vice Head for 1 year. Deputy leader of the "control unit" team in the 'Green Summer' campaign in 2019 and received commendation as an excellent soldier at the municipal level. Second Prize in the UIT Racing Car competition (expanded category) in 2019. First Prize in the UIT Racing Car competition (professional category) in 2020. Encouragement Prize in the Makerthon 2020 competition. Second Prize in the UIT Temple Run competition in 2021. Third Prize in the UIT Temple Run competition in 2022. Top 10 in the Health Hackathon competition in 2022. Top 3 outstanding teams from Vietnam at the Bosch Future Mobility Challenge representing Vietnam in the Finals in Romania, 2023. Source: Tien Phong Newspaper For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid02Lr1w7zP5f56K39... Hai Bang - Media Collaborator, University of Information Technology Nhat Hien - Translation Collaborator, University of Information Technology

Paper Title: “TrustFedHealth: Federated Learning with Homomorphic Encryption and Blockchain for Heart Disease Prediction in Smart Healthcare” Student Contributors: Bùi Tấn Hải Đăng (Talent - Information Security 2020) Phan Hữu Luân (High Quality - Information Security 2020.1) Vương Đinh Thanh Ngân (High Quality - Information Security ATCL2020.1) Supervisors: TS. Phạm Văn Hậu ThS Phan Thế Duy Paper Summary: In recent years, advances in the Internet of Medical Things (IoMT) or smart devices have enabled automatic human health monitoring. The use of smart healthcare devices can not only reduce the burden on hospitals but also save costs, travel time, and provide home-based disease diagnosis, such as stroke rates. IoMT generates a large amount of data that can be used to train machine learning (ML) models for accurate disease diagnosis. However, data used to train ML models is often privacy-preserving, making sharing difficult and requiring high security. To overcome this challenge, this paper proposes a collaborative framework called TrustFedHealth to train heart disease prediction models based on ML. TrustFedHealth uses Federated Learning (FL) to enable training with decentralized data stored separately on multiple machines. Additionally, Mobile Edge Computing (MEC) is integrated into the model as a solution to optimize communication time between different elements of the system and reduce congestion. Homomorphic Encryption (HE) is also combined with FL to protect the security of model updates between client and aggregate server. Furthermore, Blockchain (BC) is leveraged to address the traceability of contributions and ensure the transparency of model updates. Through evaluation results on the MIT-BIH Arrhythmia Database from Physionet, TrustFedHealth provides a promising method for training ML-based heart disease prediction models while maintaining privacy and security. "We would like to express our gratitude to Dr. Phạm Văn Hậu and Mr. Phan Thế Duy for their dedicated support and assistance throughout our research." The International Conference on Advanced Technologies for Communications (ATC) is an annual scientific conference specializing in electronics, communications, information technology, and related fields. The conference opens up opportunities for exchange, research presentation, technology transfer, and introduction of products from businesses operating in these fields. The conference has been held annually since 2008, attracting over 200 papers with about 150 scientists from many countries worldwide. ATC 2023 was hosted by the University of Information Technology and Communication Vietnam - Korea and took place in Da Nang City, Vietnam from 19-21/10/2023. For more details, visit: https://www.facebook.com/UIT.Fanpage/posts/pfbid02R4eK85sSVFrnAoRPfZrtzsgihuaWYXvK7QJW5dvRMWi8WptdUfT1ow7rwebL3ArAl Written by: Hai Bang Translated by: Ngoc Diem