The International Conference on Recent Advancements in Computing in AI, IoT and Computer Engineering Technology (CICET 2026) Tamsui, Taipei, 27 th – 29 th May, 2026 Venue: Room E680, Main Engineering Building Tamsui Campus, Tamkang University, Taipei, Taiwan CICET 2026 Chair’s Welcome Message It is our great pleasure to welcome you to participate in the International Conference on Recent Advancements in Computing in AI, IoT and Computer Engineering Technology (CICET 2026) to take place on the Tamsui Campus of the Tamkang University, Taipei, Tai wan, 27 th May – 29 th May, 2026. CICET 2026 provides a communication platform for researchers and practitioners both from academia and industry to share and disseminate their new research findings. CICET 2026 also serves as a good conventional conference in the areas covering the spectru m of Computing in AI, Internet of Things (IoT), Computer Engineering Technology and Big Data Analysis. We would like to thank our colleagues Professors Jian - Nong Cao and Han - Chieh Chao who served as Honorary Chairs, also Professors Shih - Hsin Chen and Chi - Yi Lin who acted as Local Chair. We wish to thank all program committee members, invited speakers: Dr. Y eon Lee and Dr. Meriem Benhaddi, the authors who submitted papers, speakers, as well as the conference attendees. In addition, many thanks go to Dr. Jean - Yves Le Corre for organising the Special Track: Educational Technologies at CICET. This conference is held for you, and we thank you for your active participation and wish you to enjoy the conference with fruitful experience. Finally, we strongly encourage researchers to contribute and make submissions to the next CICET conference. Professor Ka Lok Man Xi’an Jiaotong - Liverpool University, China and Vytautas Magnus University, Lithuania Professor Young B. Park Dankook University, South Korea Dr. Jie Zhang Xi’an Jiaotong - Liverpool University, China Dr. Shuaibu Musa Adam Katholieke Universiteit Leuven, Belgium Chairs of CICET 2026 Date and Location 27 th May – 29 th May, 2026 Location: Room E680, Main Engineering Building, Tamsui Campus, Tamkang University (TKU) No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City 25137, Taiwan (R.O.C.) Host and Organizational Institution: Tamkang University, Taiwan Co - hosted: AI University Research Centre (AI - URC), Xi’an Jiaotong - Liverpool University, China Research Institute of Big Data Analytics (RIBDA), Xi’an Jiaotong - Liverpool University, China Supporters: Vytautas Magnus University, Lithuania Taiwanese Association for Artificial Intelligence, Taiwan International Journal of Design, Analysis and Tools for Integrated Circuits and Systems DATICS Research Group Conference Website: https://www.cicet.org Introduction to the conference The International Conference on Recent Advancements in Computing in AI, IoT and Computer Engineering Technology (CICET) is a communication platform of researchers and practitioners both from academia and industry in the areas of Computing, Internet of Thin gs (IoT), Integrated Circuits and Systems and Computer Engineering Technology. The main target of CICET 2026 is to bring together software/hardware engineering researchers, computer scientists, practitioners and people from industry and business to exchang e theories, ideas, techniques and experiences related to all aspects of CICET. Finally, CICET 2026 will take place in The Tamkang University, Taipei, Taiwan, and 27 th – 29 th May, 2026. Recent progress in Deep Learning has unleashed some of the promises of Artificial Intelligence (AI), moving it from the realm of toy applications to a powerful tool that can be leveraged across a wide number of industries. In recognition of this, CICET 202 6 has selected Artificial Intelligence and Machine Learning as this year’s central theme. We invite submissions across a wide range of topics in this area, including traditional machine learning and AI, deep learning, computer vision, robotics, and applica tions of these algorithms in any areas, as well as papers in other selected areas. CICET 2026 Conference Program – Day 1 (27 th May) 10:00 CICET Steering Committee Pre - meeting 12:00 Lunch 14:00 Visit Department of Computer Science and Information Engineering, Tamkang University, Taiwan 16:00 Excursion for members of Steering Committee CICET 2026 Conference Program – Day 2 (28 th May) 8:30 Registration 9:15 Opening remark (Prof. Shih - Hsin Chen, Chairman of Department of Computer Science and Information Engineering, Tamkang University, Taiwan) 9:30 Invited Talk (Chair: Prof. Ka Lok Man, Xi’an Jiaotong - Liverpool University, China) Speaker: Dr. Yeon Lee, Inha University, Incheon, South Korea Title: From Intelligent Service Placement to Privacy - Aware AIoT: Emerging Strategies for Secure and Scalable Edge Intelligence Abstract: As Artificial Intelligence of Things (AIoT) continues to integrate deep learning into distributed cloud - edge environments, the balance between computational efficiency and data privacy becomes increasingly critical. In this talk, we explore two converging research trajectories that reflect this dual challenge: service placement strategies for High - Performance Computing (HPC) cloud environments, and privacy - preserving deep learning for sensitive domains such as medical imaging. First, we discuss a fuzzy - base d resource placement approach that dynamically allocates services in real time, optimizing for cost, latency, and performance in heterogeneous HPC cloud systems. This approach highlights the role of multi - criteria decision - making and feedback learning in m anaging data - intensive applications. We then transition to the domain of privacy in AIoT systems, focusing on MedErase, a lesion - aware federated unlearning framework tailored for privacy - preserving medical imaging. MedErase demonstrates how selective gradi ent masking and feature - level knowledge distillation can enable compliance with “rightto - be - forgotten” regulations such as GDPR, while preserving diagnostic utility and minimizing retraining overhead. By connecting these two lines of research, the talk off ers a unified perspective on how AIoT systems can be made both intelligent and privacy - aware. We also provide an overview of current trends in federated unlearning, lightweight AI models at the edge, and legal compliance in data - driven systems. The session concludes with future research directions for integrating context - aware service management with secure, federated learning in scalable AIoT environments. Biography: Dr. Yeon Lee received her B.S. degree from the School of Computer Science and Engineering at Chongqing University of Posts and Telecommunications, Chongqing, China, and her M.S. and Ph.D. degrees in Computer Science and Information Engineering from Inha Un iversity, Incheon, South Korea, completing her Ph.D. in 2017. She is currently an Assistant Professor in the Department of Computer Science and Information Engineering at Inha University. Her research interests include indoor loca tion - based services, personalized point - of - interest (POI) recommendation systems, geo - sensor data processing, data stream clustering, and spatial data management. Dr. Lee has made significant contributions to the development of personalized indoor POI reco mmendation techniques and real - time geo - spatial data stream management systems. Her recent work focuses on enhancing the accuracy and scalability of location - aware services using innovative data analytics and sensor driven models. In addition to her academ ic and research achievements, Dr. Lee actively contributes to the academic community. She serves as an editorial board member for two international journals: Human - centric Computing and Information Sciences (HCIS) and Journal of Information Processing Syst ems (JIPS). She also holds key leadership roles as a board member of the Korea Society for Next - Generation Computing (KSNGC), the Korea Information Processing Society (KIPS), and the Korea Industry Association. Through her research, teaching, and editorial responsibilities, Dr. Lee continues to play a pivotal role in advancing technologies for smart environments and intelligent computing systems. She is a sought - after speaker in the fields of indoor location computing and sensor - based data recommendation. 10:15 Break 10:30 Session I ( Chair: Prof. Ka Lok Man, Xi’an Jiaotong - Liverpool University, China) 1. Ching - Ming Chang and Chii - Jen Chen, Symlets - Based Trainable Wavelet Downsampling for YOLOv12s in PCB Defect Inspection, Tamkang University, Taiwan 2. Jack Wen, Wen - Yu Wang, Ulziimaa Purev - Ochir, Gilbraith Liucaesar, Ansley Tiarn and Duen - Kai Chen, Affordable and Open - Source Trading Card Sorting Robot Using IoT - Inspired Modular Architecture and Local Feature Aggregation, Tamkang University, Taiwan 3. Shih - Hsin Chen, Heng - Wei Ju and Kai - Sheng Hsieh, An Empirical Study of Six - Channel Spectrogram Stacking for Pediatric Heart Sound Classification, Tamkang University, Taiwan 4. Hsin - Yun Hsieh, Yi - Shiung Horng and Chii - Jen Chen, Automated Median Nerve Detection in Carpal Tunnel Ultrasound Using Improved YOLO - Based Model, Tamkang University, Taiwan 5. Shih - Hsin Chen, Cheng - Wei Tien, Ning Chien, Yeun - Chung Chang and Kai - Sheng Hsieh, An Empirical Study of Lightweight Attention Placement in YOLOv9 for Medical Image Segmentation, Tamkang University, Taiwan 12:00 Lunch 13: 10 Session II ( Ch air: Dr. Yeon Lee, Inha University, Incheon, South Korea) 6. Vainawin Piyamitmongkol and Chii - Jen Chen, Temporal Context Modeling for Multi - Class Voice Pathology Detection via BiLSTM and MFCCs, Tamkang University, Taiwan 7. C hing Teng and Chii - Jen Chen, Cross - domain Generalization of YOLO - based Models for Large - scale Cursive Chinese Character Classification, Tamkang University, Taiwan 8. Lakshmi Indrasena Reddy Bandi and Po - Hung Yang, Transformer - Based Email Phishing Detection: A Comparative Study of RoBERTa and DistilBERT, Tamkang University, Taiwan 9. Ping Yan , Mingtian Xu , Using Eudic, a Spaced - Repetition Dictionary App, to Support Academic Word List Learning in Year 1 EAP Classes , English Language Centre, Global Cultures and Languages Hub, Xi’an Jiaotong - Liverpool University 13:50 Break 14:00 Session III - CICET Special Track: Educational Technologies ( C hair: Dr. Jean - Yves Le Corre, Huyixiang (Shanghai) Technology Management Consulting Co. Ltd. ) 10. Jean - Yves Le Corre, Veasna Sieng, Integrating Virtual Reality in CaO - based Immersive Learning: A Developmental Research Study, National Institute of Education, Cambodia 11. Jean - Yves Le Corre, Mohanad Amin, Towards Instructional Design Frameworks for VR - Integrated Immersive Learning in Open - Source Ecosystems, Lincoln University College , Malaysia 12. Yen Do Thi, Jean - Yves Le Corre, A Roadmap for Design and Implementation of Digital Learning for Entrepreneurship Education in Digital Learning Ecosystems, FPT University, Vietnam 13. Meriem Benhadi, Jean - Yves Le Corre, A Systematic Literature Review of Instructional Design Methods for AI – VR Integration in Immersive Dialogic Learning within Open Digital Learning Ecosystems, Cadi Ayyad University, Marrakesh, Morocco 15:15 Break 15:30 Experts Roundtable: Professor Miguel Da Silva, Open - Source Strategies for the Development of Digital Learning Ecosystems in the ASEAN Context, Instituto Superior Tecnico Lisboa, Portugal 16:15 Plenary Session ( C hair: Dr. Jean - Yves Le Corre, Huyixiang (Shanghai) Technology Management Consulting Co. Ltd. ) Responsible Impact Research in Digital Learning Innovation: Your Journey as Early - Career Researcher 17:00 End 18:00 Conference Banquet CICET 202 6 Conference Program – Day 3 (29 th May) 10:00 Steering committee meeting 11:00 Coffee break 11:30 CICET 2026 organizing committee meeting 12:00 Lunch 15:00 Invited Talk - Online (Chair s : Dr. Ziyang Ji, Xi’an Jiaotong - Liverpool University, China and Dr. Shuaibu Musa Adam, Katholieke Universiteit Leuven, Belgium) Speaker: Dr. Meriem BENHADDI, Cadi Ayyad University, Marrakesh, Morocco Title: Closing the Loop: How AI is Unleashing a New Wave of Process Innovation in the IoT World with Self - Optimizing Operations Abstract: The Internet of Things promised a revolution of visibility. We installed sensors, connected assets, and built dazzling dashboards. But for many, this has created a new problem: data overload and analytical paralysis. We can see everything, but are we any smarter? It's time to move beyond dashboards and into the era of autonomous action. This talk will demonstrate how Artificial Intelligence is the catalytic force transforming IoT from a passive monitoring tool into an active engine for process inn ovation, shifting logistics from static to dynamic and from control to autonomy. We will explore how AI acts as the central nervous system for IoT, turning raw data streams into intelligent, self - optimizing workflows. The future lies not in watching proces ses, but in building processes that watch, learn, and improve themselves. In this talk, we will delve into how specific AI disciplines, from predictive and prescriptive analytics to generative AI and digital twins are creating a new class of self - optimizin g systems. Biography: Meriem Benhaddi holds a Dr. Eng. in software Engineering from ENSIAS school, Mohammed V University, Rabat, Morocco, and a Ph.D. in Computer Science from Cadi Ayyad University, Marrakesh, Morocco. Dr. Meriem Benhaddi is currently an Associate Professor in the IT Department of Faculty of Sciences and Technology, Cadi Ayyad University of Marrakech. Her current work focuses on Machine Learning/Deep Learning algorithms and their applications in various fields such as healthcare and social sciences. She has dozens of publications in indexed international journals and conferences. She has also achieved many certifications including IBM Big Data, Deep Learning from MILA & University of Montreal, as well as pedagogical trainings at Strasbourg University in France and International University of Andalusia in Spain. She has over 18 years of teaching experience, as well as supervising Masters and PhD students in AI and Big data among other fields. 15:45 Coffee break 16:00 Session IV - Online (Chair s : Dr. Ziyang Ji, Xi’an Jiaotong - Liverpool University, China and Dr. Shuaibu Musa Adam, Katholieke Universiteit Leuven, Belgium) 14. Kene Okwoli and Yujia Zhai, MyoMimic: A Wireless EMG - Based Robotic Hand , University of Hertfordshire , UK 15. Avantika Dube and Woon Kian Chong, Beyond the Algorithm: Perceived AI Authorship, Trust, and Ethical Boundaries in AI - Driven Advertising, SP Jain School of Global Management , Singapore 16. Diya Thilak and Woon Kian Chong, Designed for the Shy: How Platform Architecture and Authentication Technology Shape Luxury Re - commerce Purchase Intention , SP Jain School of Global Management , Singapore 17. Ying Xu , Ou Liu, The Impact of Influencer Content Characteristics on Gen Z’s Purchase Intention for Overseas , Shenzhen Technology University, China 18. Xiaozhe Ji, Jingchen Wang, Ka Lok Man, Eng Gee Lim, Yutao Yue, Jia feng Zhou , Design of a Compact Hybrid Metamaterial Slab for Enhanced Efficiency in Wireless Power Transfer Applications , Xi’an Jiaotong - Liverpool University, China 19. Jing Zhu, Xiaomei Fang , College Students’ Perceptions on the Use of Kahoot! in EAP Classrooms, Xi’an Jiaotong - Liverpool University, China 17:30 CICET 2026 close Tamkang University Roadmap Tamsui Campus Map The CICET 2026 Conference will be held at Room E680, Main Engineering Building , (building number 16), Tamsui Campus, Tamkang University. Transportation Tamkang University (TKU) No.151, Yingzhuan Rd., Tamsui Dist., New Taipei City 25137, Taiwan (R.O.C.) Taiwan Taoyuan International Airport to the Tamsui Campus of Tamkang University: (1) By Taxi Taxi stands are located outside the Arrival Halls of both Terminals 1 and 2. Taxis are available at Taoyuan Airport 24 hours a day. They charge according to the meter and add a 50% surcharge to the metered total (highway tolls not included). A typical taxi fare from Taiwan Taoyuan International Airport to Taipei is approximately NT$1,100~1,500. It takes about one hour to get to the Tamsui campus. (Recommended if carrying heavy luggage) (2) By Taoyuan Airport Mass Rapid Transit (MRT) First, take a subway/MRT from the Airport Terminal 2 station (A13)/Airport Terminal 1 station (A12) to the Taipei Main station (A1). Then, change to the Red Line MRT (Xinyi Line) and leave at the Tamsui station which is the final stop on the red line. From there, take the R27 bus to the Tamsui Campus. The bus ride should take approximately 10 minutes. Alternatively, you may want to catch a taxi. The taxi ride should take about 5 minutes (approx. NT$120 per trip). Taiwan Taoyuan International Airport: (http://www.taoyuan - airport.com) Mass Rapid Transit (MRT): (http://english.trtc.com.tw) Accommodation 1. Hotel Regalees (4 Stars), No. 89, Xue - Fu Road, Tamsui District, New Taipei City 251, Taiwan (R.O.C), 25142. (http://www.regalees - hotel.com.tw/en) 2. Happiness Danhsui (3 Stars), No. 151, Section 1, Shuiyuan Street, Tamsui District, Taipei, Taiwan, 25146. (http://justad.info/1095337 - Happiness - danhsui) Conference banquet - 1010 湘 restaurant (http://www.1010restaurant.com) View: Address: Map: