Biography: Professor Chin-Teng (CT) Lin, Ph.D.
University Chair Professor/Provost
National Chiao-Tung University, Taiwan
Center for Advanced Neurological Engineering
University of California, San Diego, USA
Dr. Chin-Teng Lin received the B.S. degree from National Chiao-Tung University (NCTU), Taiwan in 1986, and the Master and Ph.D. degree in electrical engineering from Purdue University, USA in 1989 and 1992, respectively. He is currently the Provost, Chair Professor of Electrical and Computer Engineering, and Director of Brain Research Center, National Chiao Tung University. He is also invited as the International Faculty of University of California at San-Diego (UCSD) from 2011 to 2013. He was elected to be an IEEE Fellow for his contributions to biologically inspired information systems in 2005, and was elevated International Fuzzy Systems Association (IFSA) Fellow in 2013. He was awarded the Outstanding Electrical and Computer Engineer (OECE) by Purdue University in 2011, and was awarded Outstanding Achievement Award by Asia Pacific Neural Network Assembly (APNNA) in 2013.
Dr. Lin has also served as the Editor-in-chief of IEEE Transactions on Fuzzy Systems (Impact Factor: 5.48, Top 1% of all 114 Computer Science journal, and 1.2% of 242 Electrical Engineering category) since 2011. He is also the Co-Founding Editor-in Chief of Journal of Neuroscience and Neuroengineering published by American Scientific Publishers since 2012.
Prof. Lin served on the Board of Governors at IEEE Circuits and Systems (CAS) Society in 2005-2008, IEEE Systems, Man, Cybernetics (SMC) Society in 2003-2005, IEEE Computational Intelligence Society in 2008-2010, and Chair of IEEE Taipei Section in 2009-2010. He was the Distinguished Lecturer of IEEE CAS Society from 2003 to 2005. He served as the Deputy Editor-in-Chief of IEEE Transactions on Circuits and Systems-II in 2006-2008. Dr. Lin was the Program Chair of IEEE International Conference on Systems, Man, and Cybernetics in 2005 and General Chair of 2011 IEEE International Conference on Fuzzy Systems. He is the coauthor of Neural Fuzzy Systems (Prentice-Hall), and the author of Neural Fuzzy Control Systems with Structure and Parameter Learning (World Scientific). He received the Merit NSC Research Fellow Award by National Science Council (NSC) of Taiwan in 2007, the highest and lifetime research achievements award in Taiwan NSC. Dr. Lin has published more than 189 journal papers (Total Citation: 16,466, H-index: 45, i10-index: 281) in the areas of neural networks, fuzzy systems, multimedia hardware/software, and cognitive neuro-engineering, including approximately 92 IEEE journal papers.
Important Academic Achievements
Professor Lin is one of the foremost researchers in the area of Computational Intelligence (CI). As a pioneer of the fuzzy theoretical research, he promotes the theory of fuzzy neural network (FNN) which now is one of the most prevailing research topic in the CI area. Since 1996, the Intelligent Information Technology (iIT) has been Professor Lin’s major research interest. Numerous related studies have been conducted and developed. In 2003, he established the brain research center (BRC) at NCTU and served as the director of it until present. By applying the CI and iIT to the research of cognition neuroscience, Professor Lin has been devoted to area of Translational Neuroscience in recent 8 years, trying to bring the basic findings in neuroscience to the daily life problems and applications. To achieve this goal, he is focusing on 2 major problems: Natural Cognition and Brain Computer Interface (BCI). Natural cognition is to study the brain at work. One major targeted problem is the study of brain dynamics of alertness, drowsiness, motional sickness, distraction, orientation, etc. during driving. BCI is to develop wearable and wireless devices for measuring brain waves (EEG signals) with dry sensors and also to develop algorithms for brain waves analysis. In this way, Prof. Lin initiated and developed an innovative interdisciplinary study with a combination of cognition neuroscience and engineering. His remarkable achievements on both aspects of theory and practice are:
1. Pioneering Fuzzy Neural Networks (FNNs): Since 1991, as the highly-cited fuzzy neural network was firstly proposed by Professor Lin ("Neural-Network-Based Fuzzy Logic Control and Decision System”) and was published at the most authoritative journal in the area of computer science; IEEE Transactions on Computers, the FNN has attracted much attention globally and become one major area in the computational intelligence realm. The total citations for this pioneering FNN paper are 1105 (average 60 citations per year) up to August 22, 2012. Since the publication of this generic FNN model, Professor Lin has developed a series of FNNs with various intelligent learning capabilities suitable for different learning environments such as structure/parameter learning, supervised/reinforcement/unsupervised learning, etc. Each model formed a milestone in the FNN development history and induced new enhanced models and applications. Professor Lin is also the co-Author of the first FNN textbook, Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems, Prentice Hall, 1996, 797 pages (ISBN 0-13-261413-8), whose total citations are 2271 up to October 18, 2013.
2. Innovative Natural Cognition: By applying the iIT and FNN to the area of cognition neuroscience, Professor Lin is the first person to propose the innovative applications on the following topics: (1) studying the motion-sickness-related brain dynamics with a facilitation of VR-based driving simulator, (2) studying the alertness/drowsiness brain dynamic and behavioral changes in response to auditory signals (bio-feedback) in a driving environment, (3) studying the brain waves correlates of haptic feedback in a visuomotor tracking task (force feedback), (4) developing a novel functional photoacoustic microscopy system capable of probing changes in total hemoglobin concentration. The four innovative studies are all published at the high impact scientific journal – the NeuroImage in recent 2 years. (with IF:5.932, Top 2.7%, Rank: 3/111)
Also, with adopting the originated theory of fuzzy neural network, the brain signals are analyzed and developed for the driver’s cognitive monitoring. A new study result is published at the IEEE Transaction on Biomedical Engineering. (with IF: , Top 3.85%, Rank: 4/104)
3. Patented Brain Computer Interface (BCI): Professor Lin has been developing ultra-lightweight, wearable, wireless, low-cost, whole-head, microelectronic EEG systems with successively higher sensor densities that can allow assessment of brain activities of participants actively performing ordinary tasks in natural body positions and situations within a real operational environment. Several patented dry sensors had been developed by Prof. Lin. These sensors avoid the skin preparation and gel application to ensure good electrical conductivity between sensor and skin required by the conventional wet sensors. A series of EEG hats have been developed by Prof. Lin, called MINDO4, MINDO16, MINDO32, and MINDO80 for measuring 4 to 80 channels of Electroencephalography (EEG) signals. These results have also been published in several journal papers, including Proceeding of the IEEE (with IF:5.096, Top 1.21%, Rank: 3/247). Due to these achievements, Prof. Lin was invited to organize the Advanced Brain Computer Interface Special Session in the Special Centennial Celebration Issue of Proceeding of the IEEE, May 2012.
4. Bio-inspired Intelligent Multimedia Information Processing:Multimedia information technology (IT) is the kernel in this 3C (Computer, Communications, and Consumer) electronics era. Its main challenges are to understand the human perceptual systems and to incorporate the biological models and features of human perceptual systems into the multimedia information processing techniques to process the multimedia signals in reasonable time and space bandwidth. This so-called Bio-inspired Intelligent Multimedia Information Processing Technology can highly increase the signal perceptual quality of advanced 3C products/applications in reasonable hardware and software cost.
Major Research Projects and International Collaboration
Based on the solid academic foundation of iIT (Intelligent Information Technology), Professor Lin also gained and performed several cross-world and cross-industry large-scale research projects to pursue for the innovative real-life applications of iIT. At one end, Prof. Lin explored the interface of cognitive-neuroscience and iIT in the area of Translational Neuroscience; at the other end, Prof. Lin was devoted to the full-span applications of iIT in our daily living environment from house-hold devices to urban planning in the area of Smart Living Technologies.
(1) In Translational Neuroscience, Professor Lin has been devoted to the research of Dynamic Cognitive Engineering with the partnership of UCSD and Max-plank Institute at Berlin of German for more than 8 years, leading the technical development of dynamic brain-machine interface in the top-world ranking. Especially the mobile and wireless brain-machine interface is highly attractive by Neuroscience Research Department of US Army Research Lab (ARL). Therefore, Prof. Lin's team at NCTU and UCSD research team have conducted several projects supported by the government of the United States, including US DARPA in 2007, US ARL in 2008 and from 2010 to 2014, Office of Naval Research in 2009-2010, etc. Also, Professor Lin was awarded a large-scale project by National Science Council (NSC) of Taiwan for establishing an International Center of Excellence for Advanced Bioengineering Research from 2010 to 2014. This is the first one of such kind in the funding history of Taiwan, NSC.
(2) In Smart Living Technologies, Prof. Lin prompted the human-centered technology through user need understanding, user innovation, and open innovation. He pioneered the 4Lab-Eco-Cycle mechanism for developing smart living technology: Open Lab, User lab, Living Lab, and Lab Company . He led a team consisting of 30 professors on the project, “Eco-City: Health and Sustainability --- Regional Integration Center for Intelligent Mobile Technology,” funded by NSC, Taiwan, to realize the potential of humanity, science, and technology so as to meet the human needs of living the Life of Health and Sustainability (LOHAS). The kernel value of Eco-City is in system integration of smart living technologies and establishment of innovative service models. This project is also the first one of this kind in the funding history of Taiwan NSC. Professor Lin also successfully exercised the models and mechanism in Eco-City to a real-life community in Taiwan, “Farglory Left-Bank Smart Living Community Project,” supported by Farglory Inc., the largest land development company in Taiwan. This project was awarded the first Smart Urban Technology Certification by the Living Labs Global (LLG), a NGO with members from 52 countries.
The major projects mentioned in the above are briefly described below:
1. 『Establishment of NSC I-RiCE on an International Center of Excellence for Advanced Bioengineering Research』funded by Taiwan NSC (2011 - 2015) (US$ 6.65 million)： Professor Lin leads the NCTU BRC to work with UCSD, which ranks number one in Biomedical Engineering in the United States, to establish an international Center of Excellence for Advanced Bioengineering Research. Based on the academic capability and competitive advantage at NCTU BRC and UCSD, the Center is pursuing interdisciplinary research in Neural Engineering, Translation Neuroscience, and Healthcare. The goals are to enhance our understanding of human perception and cognition, to create and apply innovative technology to advance neuroscience research, and to develop novel methods and strategies for improving prevention, diagnosis, and treatment of neurological diseases and injuries. Under this program, there are seven projects. The first two projects study the fundamental principles of neuroscience. The next three projects develop innovative neural technologies and computational methods to continuous monitor brain dynamics of individuals in real-world environments. The last two projects explore clinical implications of basic neuroscientific knowledge and neural engineering capabilities developed by other projects under this program. As a Co-PI of this I-RiCE center, Prof. Lin not only helped to coordinate the cooperation of the whole teams, but was also devoted to the following in-depth researches:
(1) Computational Neuroscience: In the last decade, the field of neuroscience has come into scientific prominence because of technical developments in non-invasive whole-head neuroimaging modalities (e.g. high-density electromagnetic (EEG/MEG) and functional magnetic resonance imaging (fMRI)). There are now a real opportunity and an acute need to develop adequate computational methods for deriving information about how the brain works from the massive data sets produced by these new functional imaging technologies. The current availability of noninvasive, whole-head data from humans during cognitive activities presents an unprecedented scientific opportunity to study the role of dynamic interactions between different parts of the brain in supporting human cognition and awareness. Professor Lin and his team developed new theoretical and concrete mathematical models of brain dynamics, new signal processing techniques based on these models, and new statistical and computational intelligence methods. The results of this research trust enhance our understanding of the strengths and limitations of the human mind, plus possible applications to medicine and to cognitive testing and monitoring.
(2) Bio-sensing Technology: Recent rapid advancements in bio-sensing technologies have resulted from the explosion of biomedical research over the past several decades. These advancements range from sensor technologies for the real-time measurement of nervous system activity in real world environments to brain-computer interfaces (BCI) and adaptive systems. Professor Lin and his team designed, developed and test high-density, multimodal, biosensing technologies, and implantable applications of neurological closed-loop systems. By combining new recording and analysis methods developed under Computational Neuroscience project, we can monitor continuous changes in a patient's current health status and needs to health providers, enabling noninvasive, personalized remote healthcare, real-time phenotyping, and longitudinal follow-up.
(3) Neuroergonomics: Recent rapid advancements in neuroscience and neurotechnology present unprecedented opportunities for us to explore the new practical applications of neuroscience based research and theory in complex real-world environments. Professor Lin and his team developed and demonstrated basic principles for translation of basic neuroscientific knowledge and theory into neuroergonomic systems to (1) advance basic neuroscience research; and (2) enhance natural human capabilities in situational awareness, perception, attention, decisionmaking, memory, and learning. In particular, a novel imaging modality, which combines simultaneous high-density EEG, electromyographic (EMG), eye tracking, body motion capture, and physiological measures, has been designed and developed. This new imaging modality can be used to record, analyze and model brain activities and body movements of unconstrained, freely moving subjects performing natural cognitive tasks in real-world environments.
(4) Wireless Healthcare: Wireless healthcare aims to explore and apply wireless technologies to advance human health and well-being. Professor Lin and his teams focused on how the health of individuals, families, communities, social networks, and populations can be improved through the creative use of wireless and networked technologies and ubiquitous/cloud computing. Advanced smart technology will be developed to empower healthcare patients, provide patient-centered health informatics, and ensure transmission accuracy and privacy. Professor Lin also studied how to promote health and to prevent disease and disability through systems-level interventions in clinical and community settings.
2. 『Cognition and Neuroergonomics (CAN) Collaborative Technology Alliance (CTA) 』funded by US Army Research Lab (2010 – 2014) (US$ 2.67 million)： Headed by Prof. Lin, the NCTU BRC involves in a five-year, $80 million (TWD) sponsored by Army Research Lab (ARL) project of the United States. The Collaborative Technology Alliance also includes our long-term research partner UCSD and other institution like DCS Corp. This project is the first time that ARL supports on Taiwan’s organization for Natural Cognition research, and it is one of the major projects of Neuroscience and Engineering Research in USA. This program was organized into three main research areas:
1) Neurocognitive Performance: Research efforts under this area are designed to ascertain key ‘signatures’ of how soldier neurocognitive state (i.e., emotional, perceptual-cognitive, physical, and physiological) varies in the face of the sensory, perceptual and cognitive demands of the operational environment.
2) Advanced Computational Approaches: Research within the second area is to provide novel computational, statistical modeling, and data visualization techniques for the extraction of the signatures of soldier neurocognitive performance, including novel analytic/algorithmic approaches to the individualized assessment of soldier neurocognitive state and performance.
3) Neurotechnologies: The third area efforts focus on the research underlying cutting-edge technologies for the real-time recording and analysis of environmental, behavioral, and functional brain dynamics, and on techniques for exploiting natural human neurocognitive function in technological solutions that enhance Soldier-system performance and safety.
Professor Lin is the PI of the Neurotechnology area, and he is focusing on the following 2 topics:
1) Effects of Vehicle Motion and Cognitive Fatigue: True understanding of human behavioral decision-making under stress and cognitive fatigue in complex operational environments such as car driving with kinesthetic stimuli requires the direct study of the interactions between brain, behavioral, sensory, and performance dynamics – based on their simultaneous measurement and joint analysis. The goal of this study is to explore the principles and methods that can be used to design individualized real-time neuroergonomic systems to enhance operator situational awareness and decision making under several forms of stress and cognitive fatigue, and thereby, improve total human-system performance. Several research topics of driving performance including kinesthetic effect, arousal feedback, and the development of drowsiness prediction system has been conducted by Prof. Lin and his team. Regarding to investigating EEG dynamics in response to kinesthetic stimuli during driving, Prof. Lin used Virtual Reality (VR) based driving simulator with a motion platform to produce somatic sensation as in real-world situations. For arousal feedback study, Prof. Lin has investigated the brain dynamics and behavioral changes in response to arousing auditory feedback presented to individuals experiencing momentary cognitive lapses during a sustained-attention task. The results of this study demonstrated the amount of cognitive state information that can be extracted from noninvasively recorded EEG data and the feasibility of online assessment and rectification of brain networks exhibiting characteristic dynamic patterns in response to cognitive challenges. In terms to the drowsiness prediction system, Prof. Lin proposed a brain-computer interface based approach using spectra dynamics to classify driver’s alertness level and predict response time.
2) Wearable EEG Development and Testing: The goal of this research thrust is to design, develop and test the wearable and wireless dry-electrode (WWD) EEG human machine interface that can allow assessment of brain activities of participants actively performing ordinary tasks in natural body positions and situations within a real operational environment. Monitoring the neurophysiological activities of soldiers in an operational environment poses a severe measurement challenge using current laboratory-oriented biosensor technology. This research is to address the following scientific barriers: (1) the restriction of experimental designs to highly controlled and impoverished stimulus/response paradigms and environments, (2) the lack of portable, user-acceptable (e.g., comfortably wearable), and robust systems for routinely monitoring brain and body dynamics, (3) the failure to record the whole of physical, mental, and physiological behavior that the brain controls, and the physical and socio-cultural effects of the environment that impact brain function, in sufficient detail and across a sufficient breadth of circumstances. In this project, Prof. Lin and his team had successfully investigated and developed methods for assessing individual cognitive status and performance in military environments using his WWD EEG devices. He also developed and evaluated on-line signal-processing methods for artifact removal of the EEG data acquired by the WWD EEG devices. In addition, motion-induced artifacts will heavily contaminate EEG recordings acquired by either wet or dry sensors in real-world applications. It was found that the amplitudes of motion-induced artifacts could be 10 times larger than those arising from blinks, eye-movements, and muscle activities in conventional EEG laboratories. Professor Lin and his team incorporated wearable motion (inertial) sensors into the WWD EEG devices by integrating dry EEG sensors, 3D accelerometers, 3D gyros, and 3D compass to track the head/neck potions and postures, making possible to regress out the overwhelming motion-induce artifacts from the EEG recordings. This task truly enabled monitoring of neural activities in unconstrained, freely-moving participants performing ordinary tasks in natural head/body positions and situations, and studying participants involving in active cognition.
3. 『Worldwide Needs on Wireless/Wearable EEG Devices --- MINDO Series 』: Professor Lin had demonstrated the feasibility of using his developed dry form-based EEG sensors and miniaturized supporting hardware/software (called MINDO4) to continuously collect EEG data recorded from four non-hairy forehead sites in a realistic VR-based dynamic driving simulator. Professor Lin and his team further developed and testing new methods of performing higher-density dry-electrode EEG acquisition and online/onboard signal processing for assessing cognitive performance of participants in operational environments. Professor Lin also developed a patented dry spring-loaded sensor for measuring the EEG signals on the hairy sites. The performance of this sensor had been verified by comparing the signal quality acquired by the dry EEG sensors with that acquired by wet electrodes. Based on this new sensor, 16 and 32-channel EEG devices that called MINDO16 and MINDO32 had been designed and developed. Most recently, Prof. Lin has developed a new active sensor by integrating the dry sensor with the pre-amplification and analog-to-digital circuits. Based on this novel invention, he had developed a high resolution ASIC-based 64-channel mobile and wireless EEG devices called MINDO64. This MINDO64 is the first wireless EEG device with dry sensors and with such high density in the world nowadays. The series of MINDO devices had received many worldwide needs including academics: (1) an extra task order of 3 MINDO32 and 1 MINDO64 from ARL directly for high-level cognitive experiments, (2) an order of 4 MINDO4, 2 MINDO16, and 3 MINDO80 from UCSD (including Prof. William Mobley (Chairman), Prof. Eduardo Macagno, Prof. Jeanne Townsend, Prof./Dr. Jeff Gertsch (also in Naval Health Research Center) in Department of Neurosciences) for autism and migraine study, (3) an order of 1 MINDO16 from University of Iowa (Drs. Pieter Poolman / Randy Kardon in Department of Ophthalmology and Visual Sciences) for complex cognitive experiments, (4) an order of 1 MINDO4 from Duke-NUS (National University of Singapore) Graduate Medical School (Prof./Dr. Michael Chee) for sleep study, (5) an order of 1 MINDO4 from Tokyo University (Prof. Shino Motoki小竹元基) for EEG monitoring of outdoor exercisers, (6) an order of 3 MINDO4 from Taiwan Yang-Ming University (Prof./Dr. Shuu-Jiun Wang) for brain-computer-interface, depression, and migraine study, (7) an order of 1 MINDO4 from University of Virginia (Prof./Dr. Timo von Oertzen in Department of Psychology) for brain-computer-interface study, (8) an order of dry sensors and MINDO16 from University of Massachusetts-Boston (Dr. Leon Zurawicki, Professor of Marketing) for decision making and consumer behavior study, (9) a request of 1 MINDO16 from EPFL Switzerland (Dr. Garipelli Gangadhar) for accelerating stroke-rehabilitation study; and industries: (1) a request of dry spring-loaded sensors from Brain Products GmbH of German (a top EEG devices manufacturer in Europe) (Mr. Pierluigi Castellone, General Manager) for IP licensing and new product development, (2) an order of 1 MINDO4 and 1 MINDO16 from Nissan Advanced Technology Center (NATC, Mr. Mitsu Hagino) for drowsiness degree detection of drivers, (3) a request from KISSEI COMTEC Co. in Japan (Mr. Kazuhisa Hanamura in SI Services/Medical System) for serving as the agent of MINDOs in Japan, (4) an order of 1 MINDO16 from ABB (Dr. Sanjay Tripathi) in India for brain-computer-interface, (5) a request of dry form/spring-loaded sensors and MINDOx devices from NeuroTek, LLC (USA) (Dr. Jonathan D. Cowan, President and CTO) for personnel training, etc.
4. 『Application of Cloud Technology on the Management of Workers’ Safety and Healthy State』found by Taiwan NSC (2013-2015) (US$ 518,000) : Populations with long working hours and working in old age are now increasing in Taiwan, a common phenomenon in developed countries worldwide as well. For these people, insufficient amount of time and space has led to declination in physical health and in exercise frequency. As a result, the mental and physical problems of workers occur more often, and the quality of life is negatively affected. In this interdisciplinary project, construction workers/labors, especially those who are in old ageing those have worsened health conditions, are focused. By the well development of the wireless EEG cap, mobile, and cloud technology/community, workers’ cognitive abilities and physical activity in working environments are assessed. The Neurofeedback system can further offer appropriate biofeedback and cognitive intervention to enhance the working performance of workers. With this management system, it is expected to compensate for the lack of medical resources in workers, and let workers manage their health and safety condition any time anywhere so that the high quality of living and working state could be achieved. Humanity, technology, and bioinformatics are closely integrated. In the field of humanity, the research team in National Yang Ming University and National Central University devote their expertise in psychology/cognitive neuroscience to investigating different cognitive states among populations with different ages. In the field of technology, the Department of Electric Engineering in National Chiao Tung University is dedicated to integrating electronic technology and network platform. In addition, the Department of Civil Engineering participates in exploring how workers’ mental states and physical safety are monitored. In the bioinformatics domain, the Department of Biotechnology in National Chiao Tung University takes charge of developing the Neurofeedback system that can be applied to the clinical research. The different research fields are combined to construct this project -“Application of cloud technology on the management of workers’ safety and healthy state.” The mobile living technology will integrate the whole results of these research groups, and combine the medical devices which are developed by Hsinchu biomedical park to manage users’ physical and mental state precisely. It is expected to implement a successful healthy living mode through cloud technology in Hsinchu in order to assist the government to promote the project of“Intelligent Taiwan” for boosting the development of this new industry
5. 『Ecology-City --- Network Platform for Lifestyle of Healthy and Sustainability』 funded by Taiwan NSC (2008 - 2012) (US$ 6.65 million)： This project integrates eight national wide cross-cutting fields, major national research programs and other outstanding teams with research achievements into the construction of 『Eco-City』, the 『Network Platform for Lifestyle of Healthy and Sustainability』. According to users’ requests and real-life experiences by testing at living lab, Eco-City applies existing technologies to create innovative proposals and feedbacks in the real lives, furthermore, to make them commercial and put the profits back into the development of technology. To achieve these goals, Prof. Lin pioneered the 4Lab-Eco-Cycle mechanism: Open Lab, User lab, Living Lab, and Lab Company. In this mechanism, Prof. Lin firstly embodied the ideas of co-enrichment of human and "technoscience" for the user-oriented technology to integrate the achievements of interdisciplinary and national projects by facilitating the flow in the chain of knowledge supplies from collaborative teams. Based on this integration, a scenario-oriented interactive demonstration and experience platform, Open Lab, was constructed that demonstrate a whole day living scenario, including home, traffic, office, and the exercise and leisure space, for high-stressed and elderly populations. Secondly, a User Lab was established for users' requirements analysis and interface design. The User Lab provides three functions: (1) Users in Evaluative Sense Making: field definition analysis, users’ intention analysis, technology usability analysis; (2) Users in Situational Sense Making: multi-sensory behavior analysis, cognitive analysis, usability analysis; (3) Users in Re-configurative Sense Making: experiencing analysis, long-term tracking, trend analysis. Thirdly, Prof. Lin induced user driven open innovation by bringing the smart living devices/services into communities and residents' homes to establish the Living Labs in the real city. Finally, in the Lab Company, Prof. Lin constructed an “interactive networking platform” to create the interdisciplinary communications among industry, government, capitalists, and research fields for the commercialization of the matured technologies or services models. This project reached three achievements successfully: promoting Living-Tech aiming at elders/high-stress population, establishing Living Lab for inspiring User/Open Innovation, and promoting new Living-Tech Industries in Taiwan for worldwide markets . Most importantly, several Living Labs have been established in Taiwan by Eco-City, including Taipei City (Nangang Urban Regeneration), New Taipei City (Low-Carbon Demonstration City), Taoyuan County (Intelligent Ecological Value-added Services), Hsinchu City (Smart Security Services, Carbon Reduction Planning of Science Park), Hsinchu County (Taiwan Cartoon DreamWorks), Nantou County (Technology Value-added Planning of Formosan Aboriginal Culture Village), Taichung City (Interactive Digital Frame Service for Senior Citizens), Yunlin County (Technology Value-added Policies), Chiayi City (Cultural Integration of Urban Renewal Areas), Kaohsiung City (Chijing Low-Carbon Island).
6. 『Farglory Hua-Chung Left-Bank Smart Living Community Project』 funded by Farglory Land Development Company (2010 - 2012) (US$1.33 million)： This new developing community is located in Chong-He, New Taipei City, with area 18.8 hectares, 18 buildings, and 3000 residents. This project also assisted the city government to obtain NT$ 228 million of enterprise investment funding for public services systems. A total of 12 intelligent technologies along with their innovative service models were designed in the project: i-Traffic, i-Home, i-Service, i-Sensing, i-Light, i-Care, i-Watch, i-Call, i-Energy, i-Light, i-Center, and i-Net. Professor Lin's team in this project also coordinated 21 companies and 16 bureaus of New Taipei City to realize these 12 i-technology construction. Among these 12 i-technologies, 6 i-technologies were awarded the Living Labs Global (LLG) certification in 2011; the certificated items are i-Home (Smart in-House Energy Conservation System), i-Service (Smart Living Services Platform), i-Sensing (Multiple Environment Monitoring System), i-Care (Smart Autonomous Tele-Health Care Service), i-Traffic (Intelligent Traffic Network Control System), and i-Light (Smart LED Light Management System). The whole project was also awarded the LLG Award 2011 with citation "Innovation and Excellence for the Smart Urban Technologies." The LLG is a NGO started in 2003, connecting 52 countries, 127 cities, and more than160 organizations/companies, with the function as a platform for service innovation (more than 500 showcases). In the evaluation process of LLG certification and award, 5 categories and 35 indices were used: "Innovation"、"Global Need"、"Environmental Impact"、"Community Impact" and "other Impact". Members of the Evaluation Committee invited by LLG included Imperial College London, Kista Science City, The Climate Group, Architectural Association, Danish Industry, etc. Extensions of this project cooperating with Farglory Group includes Planning of the Smart and Ecological Community in Tucheng, Affordable Housing Project of the A7 Station of Airport Subway in Linkou, Social Housing in Shiufeng, Chong-He, and the Social Housing Smart Value-added Planning Case in Fuzhou, Banqion.
7. 『The Innovative System Integration and Service Package Applications for the Next Generation Smart Living Community』found by Taiwan NSC and Farglory Land Development Company (2011-2015) (US$2.23 million) : In the past few years, Eco-City has established four core operational engines including Open Lab, Users Lab, Living Lab and the Lab Company, successfully transforming various technologies into all kinds of system solutions and service packages of industry value, public value and service value. This project has continued the results of the past few years in cooperation with the Farglory Group to develop various system solutions and service packages based on the themes of smart health care, smart low-carbon technology, and smart convenience security, apply and implement in the diverse application areas including individual areas, housing areas, public facilities, and the overall community, and conduct the analyses of the usage and service feedback. Furthermore, this project will also develop, integrate and implement those necessary systems and interfaces required by the real living community areas, and will conduct various system applications and service tests to build an energy-saving, healthy and convenient smart living community for the next generation, becoming the national chief model of smart living. Eco-City will utilize the research results of this smart living community to replicate, implement, and expand the influence of the successful model. Also, Eco-City will introduce the research results into the national stage and apply the international certification to create the maximum economic and social benefits out of this smart platform of industry, government and university, assisting the Country to be the national leading model in the area of smart living technology.
Honor and Awards
After graduated from Purdue University with a PhD in Electrical Engineering in 1992, Professor Lin returned to Taiwan and has been devoting himself to education and research in National Chiao-Tung University. He has been making contributions to the academia for 20 years and has published over 187 journal papers, among which, 77 were published in the most authoritative IEEE journals. The H-index of the published academic works is 36, which means he has published at least 43 papers and each of it has been cited for more than 43 times. In 2005, Professor Lin received the honor of being the IEEE Fellow, and accepted the honorary Lifelong Chair professor in NCTU. In 2013, he and was elevated International Fuzzy Systems Association (IFSA) Fellow.
Regarding academic research, the research scope of Professor Lin ranges from basic research to applied science; in recent years, he devoted himself to the realm of “Translational Neuroscience” and tried to apply the innovations of basic neuroscience to daily lives through intellgent information technology. The developed new technology, therefore, will become the pioneer for the scientific study of brain and behavioral science in natural environment and lead the application of Bio-IT. With the research axis of “Translational Neuroscience”, the most representative academic innovation and application breakthroughs of Professor Lin in the recent five years can be divided into three major categories: 1. Natural Cognitive Science, 2. Wireless Brain-Computer Interface System, and 3. Computational Intelligence. The major achievements are as the followings
(l) In 2010, Professor Lin published three journal papers on topics of natural cognition science research in a leading scientific journal, NeuroImage (IF: 5.937, Top 2.7% of Medical Imaging). The major focuses are the brain dynamics changes of passengers when having carsickness, the brain dynamics changes of dozing drivers caused by sound alarm, and the mouse’s brain blood flow reaction to innovative light-sound system. In 2011, two journal papers were published in leading scientific journals, Psychophysiology (IF: 3.263, Top 19.18% of Psychology) and Journal of Neural engineering and Rehabilitation (IF: 2.638, Top 9.09% of Rehabilitation). The main contributions are about the changes of brain when engaging in space learning or path searching in a vehicle motion environment created in virtual reality, and the brain changes when the driver is distracted by dual tasks.
(2) In 2011, regarding Wireless Brain-Computer Interface System, Professor Lin published four journal papers on topic in the outstanding engineering journals including Proceedings of the IEEE (IF: 5.151, Rank: 4/247, Top 1.6% of Engineering, Electrical & Electronic), IEEE Transactions on Biomedical Engineering (IF: 1.790, 32/70 or 45.71% of Engineering, Biomedical), Sensors (IF: 1.774, 14/61 or 22.95% of Instruments & Instrumentation) and IEEE Transactions on Circuits and Systems Part I (IF: 1.580, Rank: Top 25.91%, 64/247 of Engineering, Electrical & Electronic). The main contributions are to develop enhanced brain-computer interface, innovatively use conductive polymer foam-based material as the soft dry electrodes for sensing physiologic signals, and use pogo pin as the sensor component of the dry electrode that can directly measure EEG signals, regardless the hindering of hair, and develop the real time detecting system for dozing drivers.
(3) In terms of computation intelligence, Professor Lin has developed a real time detection system for dozing drivers and a smart wireless ECG-based tele-health-care system that can be applied to detect abnormal heart arrhythmias. The results were published in the leading journal in electronic system domain, engineering category, IEEE Transactions on Circuits and Systems (IF: 1.580, Rank: Top 25.91%, 64/247 of Engineering, Electrical & Electronic) and the important journal in biomedicine engineering domain, IEEE Transactions on Information Technology in Biomedicine (IF: 1.707, Rank: 37/128, Top 28.9% of Computer Science, Artificial Intelligence).
Regarding academic recognitions, Professor Lin has been awarded three Outstanding Research Award by NSC of Taiwan, and received Merit NSC Research Fellow Award; he was also the winner of Outstanding Engineering Professor Award, Distinguished Electrical Engineering Professor Award, Award for Outstanding Performance in Information Sciences, and Distinguished Industry-Academy Cooperation Award. He also accepted the honorary position tenure as Lifelong Chair professor in NCTU and was awarded as the Outstanding Electrical and Computer Engineer (OECE) by Purdue University in 2011.
Regarding international academic performances, Professor Lin is also recognized globally and was invited to be the Editor-in-Chief of IEEE Transactions on Fuzzy Systems (TFS) in 2011; he is also the first Taiwanese Editor-in-chief of internationally outstanding IEEE journals. The newest report in June 28th, 2012, showed that in 2011, the impact factor of TFS increases to 4.26 from the original 2.695, which makes TFS rank 5th out of 111 journals in Computer Science and Artificial Intelligence categories. This is the historic high impact factor number of TFS and all journals of IEEE Computational Intelligence Society. In the past five years, Professor Lin has also been invited to be the editor by many international and domestic academic journals, and was the Deputy Editor-in-Chief of IEEE Transactions on Circuits and Systems. In the general election of IEEE member, Professor Lin was elected as the Board of Governors of IEEE Circuits and Systems Society, IEEE Systems, Man, and Cybernetics Society, and IEEE Computational Intelligence Society; he was also elected as the presidents of Asia-Pacific Neural Network Assembly and Taiwan Fuzzy Systems Association. He is an internationally renowned scholar. Professor Lin has been the chairman or program chair in many international conferences; he has also organized many international conferences in Taiwan.
Regarding international cooperation, Professor Lin has directed many cross-nation research projects and is devoted into the study of dynamic cognition neuroengineering. Professor Lin has worked with UCSD and Max Plank Society for more than 8 years and has been leading the development of the best dynamic brain-computer interface technology. In May 2010, Professor Lin led a team of the Brain Research Center (NCTU), along with another four universities from the U.S. and German, to participate in the Mega Research Project of Cognition and Neuroergonomics Collaborative Technology Alliance (CaN CTA) which is sponsored by ARL-Army Research Lab of the U.S. (The project will last fives years with the total funds of NT$ 800 million). CaN CTA is the first major cross-disciplinary cognitive neuroscience study sponsored by the U.S. The annual fund that goes directly to the Brain Research Center of NCTU is half a million US dollars, or 2.5 million dollars for five years (about NT$ 75 million). The major responsibilities of the Brain Research Center of NCTU are the Wearable EEG development and testing (WDT) and the Effects of Vehicle motion and cognitive fatigue (VMF). The cross-nation research projects pushed and dominated by Professor Lin in the past five years are:
 2010-2015, I-RiCE of NSC: This is a project in response to the “International Research Centers of Excellence in Taiwan” (I-RiCE) Project of NSC, which aims to establish an outstanding advanced biomedicine engineering research center in Taiwan. National Yang-Ming University and NCTU of the University System of Taiwan have worked with UCSD for a long time in biomedicine engineering field, which leads to the establishment of an international standard biomedicine engineering research center with cross-nation cooperation. The goal is to further improve the research standard of biomedicine engineering in Taiwan and focus on the study of the two areas of biomedicine engineering, which are (1) Molecular, Cellular and Integrative Bioengineering, (2) Neural Engineering, focusing on its translation and application, and (3)Health Translation. This is a five-year bilateral international cooperation project and is funded by NSC, UST (NYMU and NCTU) and UCSD, NT$ 40 million each. Professor Lin is the director of the Subproject, Neural Engineering.
 2009-2012 Office of Naval Research (ONR) Project：The project aims to develop new mobile neuroimaging model which can monitor the changes of brain dynamics in free movement.
 2007 Ministry of Defense, the U.S., DARPA Project: This is the first research project that NCTU directly funded by the U.S. military. The project focuses on Micro-Electro-Mechanical Systems (MEMS) process with the goal to develop glue-free dry electrodes for EEG.
Regarding industrial contributions, in January 2010, Professor Lin was covered in Wealth Magazine as one of the Top Ten Professors with the Most Numbers of Technology Transfer Cases by NSC (ranked No. 7). Regarding the related patents, Professor Lin has got: Automatic Physiological Signal Monitor System for Medical Care, Biomedical Senor Electrode of Hybrid Process, Hair-Hinder-Free Dry Electrode for EEG Measuring Mechanism, and Integrated Biomedical Measuring System for EEG and Cerebral Oxygenation, to name a few. He also applied a trademark for his wireless brain-computer interface, Mindo. Through the Innovation and Incubation Center of NCTU, several technology transfer have been completed and the Center has helped academic institutes as well as companies to market the next generation of EEG measuring system. Many academic institutes also showed high interest in the Mobile and Wireless EEG System, Mindo, and the EEG dry electrodes developed by Professor Lin, and are doing many purchase tests. They include UCSD in the U.S., Duke-NUS Graduate Medical School in Singapore, University of IOWA, Tsinghua University in Beijing, University of Tokyo in Japan, and National Yang-Ming University in Taiwan. International companies including Brain Product, Nissan Advanced Technology Center (NATC), KISSEI, and ABB have signed NDA for the compatibility test of dry pin electrodes and are now endeavoring to be the agent for Mobile and Wireless EEG System (Mindo) in their countries.
Apart from academic research, Professor Lin is also active on NCTU campus when it comes to administration. He was the Associate Dean of Research and Development Office, Chair of Electrical Engineering Department, Vice Dean of Electrical and Computer Engineering College, among others. With his excellent academic achievements and his status in the international community, Professor Lin was unanimously recommended by the staff of Department of Computer Science and members of the selection committee as the Founding Dean of the College of Computer Science of NCTU in 2005, which is ranked this year in the Computer Science category as the 1st in Taiwan, the 12th in Asia, and the 26th in the world. Under the “One College, One Department, Multiple Institutes” structure, he actively promotes the interdisciplinary integration of computer science and established the Institute of Biomedical Engineering that cross 5 different colleges. In February 2007, Professor Lin was invited to serve as the Provost of NCTU. He has successfully helped NCTU to build an excellent human-centered environment for teaching and researching, set up the Center for Teaching and Learning Development, and gained fruitful results in promoting the Program for Teaching Excellence, which leads to the high recognition from the evaluators of the Program for Promotion of Excellence of Universities in Taiwan.
Selected Professor Lin’s major honor and service are:
Fellow, Institute of Electrical and Electronic Engineers (IEEE) (2005-)
Fellow, International Fuzzy Systems Association (IFSA) (2012-)
Editor-in-Chief, IEEE Transactions on Fuzzy Systems (2011-2016)
Founding Editor-in-Chief, Journal of Neuroscience and Neuroengineering, American Scientific Publishers (2012-)
Deputy Editor-in-Chief, IEEE Trans. on Circuits and Systems II (2006-07)
Chairman, IEEE Taipei Section (2009-2010) (received the IEEE Member and Geographic Activities Board Outstanding Large Section Award)
President, Asia Pacific Neural Network Assembly (APNNA) (2004-2005)
General Chair, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei, Taiwan, 2011.
Invited Session Chair, 2012 IEEE World Congress on Computational Intelligence (IEEE-WCCI 2012), Brisbane, Australia, 2012.
General Chair, The 8th Asian Control Conference (ASCC 2011), Kaohsiung, Taiwan, 2011.
Board of Governor (BoG), IEEE Taipei Section (2007-2008)
Board of Governor (BoG), IEEE Computational Intelligence Society (2008-2010)
Board of Governor (BoG), Publication Division, IEEE Circuits and Systems Society (2005-2008)
Board of Governor (BoG), IEEE Systems, Man, and Cybernetics Society (2003-2005)
AdCom Member, IEEE Nanotechnology Council (representing IEEE Computational Intelligence Society and IEEE Circuits and Systems Society) (2005-2006, 2010)
Executive Board Member, IEEE Taipei Chapter (2007-2008)
Chairman, IEEE Circuits and Systems Society Taipei Chapter (2005)
Member, IEEE Gustav R. Kirchhoff Award Committee (2004-2006)
Associate Editor, IEEE Transactions on Fuzzy Systems (2002-2010)
Associate Editor, IEEE Transactions on Systems, Man, Cybernetics, Part B
Associate Editor, IEEE Transactions on Circuits and Systems, Part I and II
Section Editor, GERONTOLOGY
Associate Editor, Journal of Automatica
Associate Editor, International Journal of Speech Technology
Associate Editor, Asia Journal of Control
Associate Editor, Journal of Information Science and Engineering
Member, IEEE Computational Intelligence Society
Member, IEEE Circuits and Systems Society
Member, IEEE Computer Society
Member, IEEE Robotics and Automation Society
Member, IEEE System, Man, and Cybernetics Society
Member, IEEE Intelligent Transportation Systems Society
Chair, Technical Committee on Fuzzy Systems, IEEE CIS Society
Chair, Technical Committee on Neural Systems and Applications, IEEE CAS Society
Chair, Technical Committee on Nanoelectronics and Giga-scale Systems, IEEE CAS Society
Chair, Institute of Electrical and Electronics Engineering (IEEE) Taipei Section (2009-2010)
Subcommittee Chair, Technical Committee on Life-Science Systems and Applications, IEEE CAS Society
Member, Technical Committee on Cellular Neural Networks and Array Computing, IEEE CAS Society
Member, Technical Committee on Multimedia Systems and Applications, IEEE CAS Society
Member, Technical Committee on VLSI Systems and Applications, IEEE CAS Society
Council Member, International Fuzzy System Association (IFSA) (since 2000)
Board of Governor (BoG), Asia Pacific Neural Network Assembly (APNNA) (since 2000)
Vice Chairman, IEEE Robotics and Automation Taipei Chapter (1997 - 1999)
Chairman, IEEE Robotics and Automation Taipei Chapter (2000 - 2001)
Member, The Honor Society of Eta Kappa Nu
Member, The Honor Society of Phi Kappa Phi
Member, The Honor Society of Tau Beta Pi
Lifelong Chair Professor, NCTU University (2010- now)
Board of Directors, MediaTek (Chip Design) Company (2007-now)
Board of Directors, YuLon Motor Company (2008-now)
Board of Directors, SpringSoft Education Foundation (2007-now)
Supervisor, Chinese Automation Association (1998 - now)
Supervisor, Taiwan Systems Association (2005 - now)
Deputy Chairman, Chinese Fuzzy System Association (CFSA) (1994 - 2001)
Chairman, Chinese Fuzzy System Association (CFSA) (2002 - 2005)
Associate Editor, Journal of Chinese Engineering Society
Associate Editor, Journal of Chinese Fuzzy System Association (CFSA)
Member, Chinese Engineering Society
Member, Chinese Electrical Engineering Society
Member, The Honor Society of Tau Beta Pi
Chair Professor , NCTU University (2004-2007, 2007-2010)