|Future research plan
(EX. Science and Technology Association)
陳良弼 (Arbee L.P. Chen)
Professor Arbee L.P. Chen has established an international reputation for research in heterogeneous databases, multi-media search and recommendations, and big data analytics. Currently, his research focuses on analyzing electronic medical records, social media, and open data to predict whether inpatients will develop acute kidney injury, and whether depression can be diagnosed in early stage, and to recommend appropriate medical specialists to those in need.
Min-Shiang Hwang obtained a Ph.D. in Computer and Information Science from the National Chiao Tung University in 1995. Dr. Hwang obtained the Electronic Engineering of National Advanced Examination certificate and was awarded a first-level software engineer of the National Telecommunications Special Examination. He served as the Information Center of the Institute of Telecommunications of the Ministry of Communications, the first-level engineer of the General Administration of Telecommunications of the Ministry of Communications, the professor and chair of the Department of Information Management at Chaoyang University of Science and Technology. Prof. Hwang also served as the Professor Distinguished Professor and chair of the Department of Management Information Systems at National Chung Hsing University. For five consecutive years (1997-2001), Dr. Hwang was awarded the National Science Committee Class A Research Award and the Technical and Vocational Education Technical Dissertation Outstanding Achievement Award from the Technical and Vocational Education Society of the Republic of China. He is currently the editor-in-chief of the International Journal of Network Security and the Sino Smart Computing Institute chairman. His current research interests include blockchain technology, cryptography, network security, e-commerce, steganography, mobile computing, etc. Dr. Hwang has published more than 200 academic research papers in SCI international journals, three textbooks (Introduction to Information and Network Security, Introduction to Cloud Computing, Information and Network Security Practices), and several patents. In the past, he has instructed
Ching-Hsien Hsu is Chair Professor of the Dept. Computer Science and Inofrmation Engineering, Asia University, Taiwan; Director of the Big Data Research Center, Asia University; Professor in the department of Computer Science and Information Engineering, National Chung Cheng University; Research Consultant, Dept. of Medical Research, China Medical University Hospital, China Medical University, Taiwan. His research includes cloud and edge computing, big data analytics, high performance computing systems, parallel and distributed systems, artificial intelligence, medical AI, natural language processing. On-going research projects:
- Dynamic Container Deployment Migration and Load Balancing Technology for Supporting 5G Network Slicing
- Integrated Edge Orchestrator and Service Management Toward Efficient Multi-Vendor-IoT Interoperability
- Cloud Computing Based Deep Learning for Tumour Image Detection and Classification with Data-Augmentation
- Open Source System Software for Cloud-Based Big Data Platform - Data Streaming Process
The scope of IOT is very broad. Usually, it is viewed from three layers. The bottom is the sensor layer. Then the network and communication. The top is the data application. My interests are in the second layer, including wire and wireless communication, short and long range communication, networking technology etc. The most important is the transmission protocol. This is considered as the core of the IOT. This platform control how data is shared and delivered, such as MQTT or CoAP. These include protocol like request/reply or push/pull etc. For security, authentication and encryption are also studied.
Currently, the research interests of Prof. Hsing-Chung Chen include: Artificial Intelligence of Things (AIoT), Information and Communication Security based on Hardware and Software co-design, Cyberspace Security Based on the Technologies Blockchain Networks, Internet of Things Application Engineering and Its Security, Mobile and Wireless Networks Protocols, Medical and Bio-information Signal Image Processing, Explainable Artificial Intelligence (XAI) and Soft Computing and Applied Cryptography. First, the topic of the main project focus on AIoT applications by using software and hardware co-design technologies, Blockchain Technologies, and XAI. The collected IoT data is processed and analyzed by artificial intelligence programs. Next, the topic of the second project is regarding to extract and analyze the features of diagnosis pulse or measured X-ray photos based on machine learning and image processing technologies for Traditional Chinese Medicine as well as Dentist Medicine. The data will then be processed via artificial intelligence software for classification, prediction and decision analysis, etc. The last topic of project focus on training tasks of security of information and communication, cyberspace security, security of Blockchain networks, and AIoT.
|連耀南 (Yao-Nan Lien)
|1. Traffic big data analysis: Use the electronic riding records of Taichung City bus passengers to analyze the journey behavior of bus passengers, and provide a reference for the government to formulate transportation policies. For example, the time spent by high school students commuting on the bus, and the correlation between the frequency of bus-riding and the frequency of hospital visits among seniors.
2. Large-scale disaster emergency communication system: When a large-scale disaster occurs, people trapped in the disaster site must be rescued within 72 hours, otherwise the chance of survival is extremely weak, but the communication system is often paralyzed, resulting in inefficient rescue work. The resources are seriously misplaced and many opportunities to save lives have been lost. We use surviving mobile phone base stations that have lost back-haul connections and long-distance WiFi connections to form a cellular emergency communication system, which can provide rescuers in disaster areas using their existing mobile phones to use this system. This system uses the existing equipment as much as possible, so the construction is quick and the cost is low.
3. 3D Digital Archiving: Use 3D photography technology to carry out digital archiving. Planar images are a very important part of traditional digital archiving. In recent years, the trend is to further preserve the three-dimensional information of cultural artifacts by means of 3D modeling. However, many cultural artifacts are difficult to use 3D modeling, such as the exquisitely carved temples and churches. We use 3D photography technology for digital archiving to make up for this shortcoming.
4. Probabilistic Rule Based Fake News Verification.
|Professor Whai-En Chen's major research areas include smart Internet of Things (IoT) and 5G/6G mobile networks. The research topics include: AI (Artificial Intelligence) and IoT (AIoT) applications on agricultural, smart campuses, and smart manufacturing. In these research topics, Prof. Chen apply information and communication technology and AI technology to the agricultural fields (e.g., planting, livestock, pig raising, etc.). In addition, the AIoT technologies are also applied to smart campuses, factories and manufacturers. Specifically, Prof. Chen utilizes IoTtalk and MapTalk as the IoT platforms to collect IoT data, analyze data, make predictions/decisions and demonstrate the application results.
|1. Intelligent control
The research is to carry out an online identification process of an uncertain nonlinear system with the aim to design an intelligent control controller.
2. Data modeling
Applying Soft Computing Techniques to study the system modeling.
3. Sound Source Localization
Develop the adaptive directional microphone in hearing aids let the hearing aid users who are can auto-reduce the noise signal effective.
|1. Research on the core network technology and NTN application of the star-air-ground integrated 6G mobile network (MOST)
2. Research and development of integrated push broadcasting system with safety mechanism (MOST)
3. Construction of intelligent pig breeding farm production system (MOST)
4. 5G IIoT time-sensitive network system delay/performance evaluation and control mechanism optimization (III)
Professor Yeong-Chin Chen；His current research interests are focused on data acquisition, wireless data transmission, server streaming, and power control technologies on IOT applications. The research topics including:
I am currently focusing on the design of active and passive functional components of micro-nano optoelectronics, and I am also trying to develop novel electromagnetic numerical calculation methods. Recently, I am also interested in the comprehensive applications of [artificial intelligence] in various fields, such as epidemic forecasting, medical applications... Etc. In addition, various quantum computing methods of [quantum computer] (silicon spin quantum,
Ion Well, Superconducting Circuit, Diamond Vacancy and Topological Quantum).
1. Information technology application: The application of information technology in the field of information education with augmented reality, e-books and real-time feedback systems. In recent years, it has guided papers. 1. The integration of real-time feedback systems into remedial teaching is useful for fifth-grade mathematics learning in elementary schools. Attitude and effectiveness research, 2. Years of Augmented Reality (AR) applied to contextual classrooms in the English field-taking the eighth grade of Taichung New Junior High School as an example, and other related thesis research topics.
2. Application in the field of electronic information: application of information and implementation methods for the research and development of dye-sensitized solar cells and the development of nanotechnology, papers in recent years 1. The application of hollow structure titanium dioxide in dye-sensitized solar cells prepared by liquid deposition method , 2. Research on the preparation of AZO/silver nanowire composite transparent conductive film by radio frequency magnetron sputtering.
Jui-Chi Chen is currently an associate professor in the Department of Computer Science and Information Engineering, Asia University, Taiwan. His research interests include data mining, biomedical informatics, biomedical communications, and wireless communications. The research topics includes: Forecasting the future revenues of listed companies, Data mining and forecasting the cancer incidence in Taiwan, Visual exploration for time series data sets, Systematic review for effectiveness and safety of medications, and Channel resource allocation algorithms for mobile communication systems.
Prof. Cheng-Hung Chuang focuses on image and video processing research fields. In recent years, his laboratory has focused more on popular research fields such as deep learning. For example, the research topics include the analysis and identification of driving video and the use of generative adversarial networks to synthesize images. In terms of research projects, his laboratory mainly implements the research projects of the Ministry of Science and Technology and those of Asia University in cooperation with the China Medical University Hospital and the Asia University Hospital. The goal of our laboratory is to apply research methods to the medical fields and to train professionals in the field of artificial intelligence (AI).
Tzu-Liang Kung received his B.S. in Industrial Administration from the National Taiwan University in 1997, M.S. in Statistics from the National Chiao Tung University, Taiwan in 2001, and Ph.D. in Computer Science from the National Chiao Tung University, Taiwan in 2009. From 2001 to 2004, he served as a senior engineer at the Behavior Design Corporation, Taiwan. He is currently an Associate Professor with the Department of Computer Science and Information Engineering, Asia University, Taiwan. His research interests include multivariate data analysis, natural language processing, interconnected systems, network computing, applied graph theory, combinatorics, etc.
(2021/08/01 ~ 2022/07/31)
The development of AI technology for personalized technology addiction prediction III
(2020/07/01 ~ 2022/06/30)
The Strong Kidney Initiative: A Multicenter-Randomized Trial to Validate the Effectiveness of a Clinical Kidney Intelligence Platform Based on Big Data, Artificial Intelligence, and Blockchain Technology
(2019/08/01 ~ 2022/07/31)
Develop APP for collecting screen/face data and extracting addiction information by using artificial intelligence model
(2019/08/01 ~ 2022/07/31)
The development of the cognitive-behavioral self-directed learning application and its efficacy for improving Technology Addiction among college students
Prediction of the risk of acute pyelonephritis from renal sonography by deep learning
Design the 3D pulmonary fibrosis degree index related to forced vital capacity by using the symptoms detection of supervised YoloV5 for the computed tomography images
Develop the quantitative index related to forced vital capacity for pulmonary fibrosis degree by using the unsupervised clustering in the computed tomography 2D images
Arterial calcification degree of patient abdomen is calculated from X-ray image by AI
AI Health Detection and Care System: Correlation and Prediction of Subjective Pain and Physiological Signals（1st year）
|1. Smart manufacturing: Use deep learning to deal with issues such as defect detection and product counting.
2. Bioinformatics: Analyze gene sequencing data to solve system biology problems of diseases.
3. UAV applications: UAV applications in agriculture, logistics, security and inspection
Tagged Sequential Data Mining: A scalable approach to extract maximal repeats and its applications.
(U.S. Patent No. 10,409,844)
Analyzing the frequency of any segment within vehicle trips in Taiwan National freeway via electronic gantries.
Maximal repeat extraction from whole genome DNA sequences across species.
Text mining: Text archeology for trend analysis
Product quality control via tagged product traceability analysis
Cloud Computing: Amazon Academy program instructor for Cloud Partitioner.
Machine Learning: Class Relationship and structure Ambiguity Analysis.
|The establishment of a smart surveillance system to predict the
risk of disability from gait and a physical fitness training
promotion service model that can prevent and delay disability
|Professor Lin, Chun-Yuan’s research focuses on machine learning technology, parallel processing technology, bioinformatics, brain research, computational chemistry and etc. He has been engaged in the development of bioinformatics-related tools using GPU technology for many years. In recent years, he has also focused on brain image analysis. In addition to his work, he also uses machine learning technology in drug design, intelligence medicine, smart manufacturing and other application fields. In the past five years, he has published more than 10 journal papers (SCI indexed) and more than 10 international conference papers. , Presided over 4 research projects of the Ministry of Science and Technology, served as co-host of 6 research projects of the Ministry of Science and Technology, presided over 7 industry-university cooperation projects, and its cooperation companies include Formosa Plastics Group, Delta Electronics, Lumens, ADLINK, Moldex3D, etc.
Prof. Cheng-Yuan Ho (Tommy Ho) received his Ph. D. degree in Department of Computer Science and Information Engineering from National Chiao Tung University (NCTU). After graduating from NCTU, he has worked at different companies, including industry, colleges, research center, and start-up.
Among these works, three things impressed him most. (1) At Microsoft Research Asia (MSRA), he assisted in developing Compound TCP (CTCP), which transmits data between computers and is supported by Windows XP, Vista, 7, 8, and 10, Windows Server 2003, 2008, 2016, and 2020, and Linux. (2) At research center of NCTU, he coworked with D-Link to develop "Mydlink 1.5", which is called MyDlink now and supports the main communication technologies of MyDlink cloud services. (3) At a start-up, he had a lot of unforgettable experiences.
Right row, at Asia University, Prof. Ho has two main research topics. One is the technology research, development, and applications of artificial intelligence (AI), and the other is the improvement of TCP performance in data center networks and with multiple-paths, and its related issues. Furthermore, Prof. Ho has three interests in real production developments, such as (1) cross-platform app development, (2) game design and development, and (3) solving problems in industry with AI technologies.
If you have interests and thoughts in above items, please contact Prof. Ho directly via email, firstname.lastname@example.org.
1. Biomedical signal feature extraction: Fourier transform, wavelet, empirical mode decomposition.
2. Biomedical signal analysis, such as EEG, ECG, HRV, EMG, Gait, Accelerometer, Center of Pressure, eyetracker
3. Artificial intelligence on medical decision
publication list in Google scholar:https://ppt.cc/fqpXNx
Dr. Chang-wei Hsieh, received a Ph.D. degree from the Department of Electrical Engineering, National Cheng Kung University in 2003.
From 2003 to 2007, Dr. Hsieh worked as a postdoctoral fellow at MRI/MRS Interdisciplinary Lab at National Taiwan University and studied the Magnetic Resonance Imaging techniques. He joined to develop a high-performance MR receiving coil with high-temperature superconducting materials and investigated the topic of meditation with functional MRI.
He was an Assistant Professor from 2008 to 2014 in the Department of Photonics and Communication Engineering, Asia University, Taichung, Taiwan. Now, he is an Associate Professor since 2014. Last few years, his research interests were focused on the topic of brain functional imaging stimulating by low-level laser, Medical Electronics, and Internet of Things.
|Rung-sheng Chen research topics
(1) Optical design
Smart camera lens design, vehicle lens design, Artificial Intelligence optical design
(2) Digital image and thermal image processing
Using MATLAB, Python to do computer vision research,
For example, the development of TCM color diagnosis system, convolution neural network (CNN), EX. Face recognition and number recognition.
(3) Introduction of quantum computing and quantum computer
Fundamentals of quantum mechanics, quantum computing, implementation of Qiskit
The main research areas are: 1. Silicon photomultiplier detectors: Its main characteristics are the single photon detection and the ability to accurately know the arrival time of photons, which are mainly used in high-energy physics. In addition, its high-sensitivity light detectors have many application requirements in industry, medical treatment and daily life. 2. Low-gain avalanche detectors (LGAD): It has the advantages of fast signal response time (about tens of picoseconds) and resistance to radiation damage.
|柯賢儒 (Hsien-Ju Ko)
|Research fields: automatic control, signal processing, neural network, computer networks
Recent research interests (research projects)
|The optimal state-space structure for Decision Feedback Equalizer (DFE) implementations
algorithmic aspects of wireless sensor networks, recommender system, on-line learning algorithms, bioinformatics algorithms
|Main research fields: Neural network, machine learning, communication network, programming, function analysis.
Radio frequency system: microwave components, electromagnetic interference and compatibility, wireless research on receiving and transmitting system and other technologies.
Power electronic technology and application: renewable energy, power conversion, energy storage technology, power quality, no-load energy consumption management related technologies and other technology research.
|Dr. Thuan was the recipient of the 2015 Golden Globe Award by Ministry of Science and Technology (top 10 outstanding scientists nationwide). He received Medal of Creative Young Talents in 2015. He was named in the Stanford's list of top 2% scientists in the world in 2020. He was invited as a TPC member in IEEE flagship conferences such as GLOBECOM, ICC, WCNC. He is currently serving as an Editor of COMPUTER COMMUNICATIONS (Elservier), an Associate Editor of EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (Springer), an Associate Editor of ELECTRONICS, an Associate Editor of ICT Express and an Editor of KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS. He was a Lead Guest Editor of the Special Issue "Recent Advances for 5G: Emerging Scheme of NOMA in Cognitive Radio and Satellite Communications" in ELECTRONICS in 2019. He is also serving as Lead Guest Editor of a Special Issue on "Enabling Reconfigurable Intelligent Surfaces (RIS) for 6G Cellular Networks," ELECTRONICS in 2021; Guest Editor of a Special Issue on “Power Domain Based Multiple Access Techniques in Sensor Networks,” INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS (IJDSN) in 2020 and a Guest Editor of a Special Issue on “UAV-enabled B5G/6G Networks: Emerging Trends and Challenges” in PHYSICAL COMMUNICATION (Elservier) in 2020. His publications include over 100 SCIE/SCI-indexed journal articles, and over 40 international conference papers. He is sole author in one textbook and six book chapters.
Research areasReconfigurable Intelligent Surfaces-Assisted networks
Massive MIMO, Cooperative MIMO communications
mmWave communication networks
Non-orthogonal multiple access (NOMA)
Physical Layer Security
Visible Light Communication