關於林佩君教授

林佩君, Ph.D.

Associate Professor

Department of Information Engineering and Computer Science
Feng Chia University
No. 100, Wenhwa Road, Taichung City, 407102, Taiwan, R.O.C.

聯絡資訊

學歷

早稻田大學 情報生產管理學研究院 博士

Waseda University, Graduate School of Information, Production and Systems (IPS)
Kitakyushu, Fukuoka, Japan
2009.04 - 2013.04

  • Advisor: Prof. Junzo Watada
  • Ph.D. Thesis: Building Statistical Hypothesis Tests for Fuzzy Data and Their Applications to Decision Making
  • Major: Statistical Modeling; Fuzzy Statistic Hypothesis Tests; Decision Making

國立政治大學 應用數學系 博士 (課程認證)

National Chengchi University, Department of Mathematical Sciences
Taipei, Taiwan
2007.08 - 2009.01

  • Advisor: Prof. Berlin Wu
  • Major: Fuzzy Statistic Hypothesis Tests

國立政治大學 應用數學系 碩士

National Chengchi University, Department of Mathematical Sciences
Taipei, Taiwan
2005.08 - 2007.07

  • Advisor: Prof. Berlin Wu
  • Master Thesis: Fuzzy Chi-square Test Statistic for Goodness-of-Fit
  • Major: Nonparametric Fuzzy Statistic Hypothesis Tests

國立高雄師範大學 數學系 學士

National Kaohsiung Normal University, Department of Mathematics
Kaohsiung, Taiwan
1998.08 - 2002.07

  • Major: Pure Mathematics

專業經歷

  • 2023 - Now: Associate Professor, Department of IECS, Feng Chia University, Taiwan
  • 2017 - 2023: Assistant Professor, Department of IECS, Feng Chia University, Taiwan
  • 2016 - 2017: Research Assistant Professor, Department of Electronic Engineering, TAIPEI TECH, Taiwan
  • 2013 - 2016: Adjunct Researcher, Graduate School of IPS, Waseda University, Japan
  • 2012 - 2013: Research Assistant, GCOE Program, IPS, Waseda University, Japan
  • 2007 - 2009: Adjunct Lecture, College of Engineering, TAIWAN TECH, Taiwan
  • 2003 - 2005: Teaching Assistant, Department of Applied Mathematics, Feng Chia University, Taiwan

專長

  • 模糊統計 (Fuzzy Statistics)
  • 統計建模 (Statistical Modeling)
  • 感性工學 (Kansei Engineering)
  • 大數據分析 (Big Data Analytics)
  • 人工智慧開發與應用 (Artificial Intelligence Development and Application)

研究興趣

  • Metaverse
  • Digital Media
  • Artificial Intelligence
  • Statistical Modeling
  • Music Signal Analysis
  • Companion Robots
  • Human-Robot Interface Design
  • Recommendation System Design
  • Applications of Smart Speakers in AIOT
  • Security Detection Simulation of Dialogue System and Its Application
  • Soft Computing
  • Artificial Intelligence Computing
  • Robotics Computing
  • Cloud Computing
  • Big Data Analysis

發表成果

期刊發表 (2009 - 2025)

2025

  • Yifei Wu, B. Wang, Jingshi Cui, P.-C. Lin, J. Watada (2025). ScenGAN: Attention-Intensive Generative Model for Uncertainty-Aware Renewable Scenario Forecasting, arXiv:2509.17119.

  • J. Watada, P.-C. Lin*, B. Wang, J.-S. Pan, J. G. F. Muniz (2025). A Type 2 Fuzzy Set Approach for Building Linear Linguistic Regression Analysis under Multi Uncertainty, arXiv:2509.10498.

  • P.-C. Lin*, and Nureize Arbaiy (2025). BiLSTM-Based Approach for Music Genre Classification, Procedia Computer Science, Vol. 263, pp. 619-626. (EI)

  • P.-C. Lin*, Chen-Yu Yu, and Eric Odle (2025). Prototype for a Personalized Music Recommendation System Based on TL-CNN-GRU Model with 10-Fold Cross-Validation, In Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference (AICCC '24), No. 8, pp. 87-94, Association for Computing Machinery (ACM Publisher). (EI)

  • N. Arbaiy, M. N. Razali, M. Shukri Che Lah, P.-C. Lin, and Syafikrudin Ismail (2025). Classifying Nutrient Deficiencies in Palm Oil Leaves Using Convolutional Neural Network with Class Weights and Early Stopping Techniques, Journal of Soft Computing and Data Mining (JSCDM), Vol. 6, No. 1, pp.308-318. (SCOPUS)

  • I Nyoman Mahayasa Adiputra, Paweena Wanchai, and P.-C. Lin (2025). Optimized Customer Churn Prediction Using Tabular GAN-Based Hybrid Sampling Method and Cost-Sensitive Learning, PeerJ Computer Science. (SCI, IF:3.8)

  • Taukir Alam, Wei Chung Shia, Fang Rong Hsu, Taimoor Hassan, P.-C. Lin, Eric Odle, and Junzo Watada (2025). Hybrid Top Features Extraction Model for Detecting X Rumor Events Using an Ensemble Method, Journal of Web Engineering, Vol. 24, Issue 01, pp.79–106. (SCI, IF:0.7)

  • Rusma Anieza Ruslan, Nureize Arbaiy, and P.-C. Lin (2025). Enhanced GANified-SMOTE with Latent Factor for Improved Classifier Performance on Imbalanced Datasets, Journal of Information Systems Engineering and Management, Vol. 10, No. 45s, pp.217-232. (SCOPUS)

  • M. N. Razali, N. Arbaiy, P.-C. Lin, and S. Ismail (2025). Optimizing Multiclass Classification Using Convolutional Neural Networks with Class Weights and Early Stopping for Imbalanced Datasets, Electronics, Vol. 14, No. 4, 705. (SCI, IF:2.6)

  • I. N. M. Adiputra, P.-C. Lin*, and P. Wanchai (2025). The Effectiveness of Generative Adversarial Network-Based Oversampling Methods for Imbalanced Multi-Class Credit Score Classification, Electronics, Vol. 14, N0. 4, 697. (SCI, IF:2.6)

  • Jennifer A. Cardenas Castaneda, P.-C. Lin, Patrick C. K. Hung, Hua-Xu Zhong, Hao-An Tseng, Yung-Fa Huang, and Rafiq Ahmad (2025). Designing inclusive tech playful educative solutions for visually impaired learners in STEM education, Smart Learning Environments, Vol. 12, No. 4. (SCOPUS)

2024

  • Xuanning Song, Bo Wang, P.-C. Lin, Guangyu Ge, Ran Yuan, and Junzo Watada (2024). Scenario-Based Distributionally Robust Unit Commitment Optimization Involving Cooperative Interaction with Robots, Information Systems Frontiers, Vol. 26, pp. 9–23. (SCI, IF:5.261)

2023

  • Odle, E., Y.-J. Hsueh, and P.-C. Lin (2023). Semantic Positioning Model Incorporating BERT/RoBERTa and Fuzzy Theory Achieves More Nuanced Japanese Adverb Clustering, Electronics, Vol. 12, No. 19, 4185. (SCI, IF: 2.9)

  • Hamijah Mohd Rahman, Nureize Arbaiy, Chuah Chai Wen, and P.-C. Lin (2023). Estimating Probability Values based on Naïve Bayes for Fuzzy Random Regression Model, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 14, No. 8. pp. 579-584. (EI)

  • P.-C. Lin*, Patrick C. K. Hung, Ying Jiang, Carolina Padilla Velasco, and Marco Antonio Martínez Cano (2023). An Experimental Design for Facial and Color Emotion Expression of a Social Robot, J Supercomput, Vol.79, pp. 1980–2009. (SCI, IF: 2.557)

2022

  • Nazim Razali, Aida Mustapha, Nureize Arbaiy, and P.-C. Lin (2022). Deep learning for football outcomes prediction based on football rating system, AIP Conference Proceedings, Vol. 2644, No. 1, 040007-1–040007-7. (SCOPUS)

  • Muhammad Shukri Che Lah, Nureize Arbaiy, and P.-C. Lin (2022). Forecasting of ARIMA air pollution with improved fuzzy data preparation, AIP Conference Proceedings, Vol. 2644, No. 1, 040006-1–040006-7. (SCOPUS)

  • Muhammad Shukri Che Lah, Nureize Arbaiy, and P.-C. Lin (2022). An improved ARIMA fitting procedure, AIP Conference Proceedings, Vol. 2644, No. 1, 040005-1–040005-7. (SCOPUS)

  • N. Kalashnykova, V. Kalashnikov, J. Watada, J. G. Flores-Muñiz, T. Anwar and P.-C. Lin (2022). Consistent Conjectural Variations Equilibrium in a Mixed Oligopoly Model with a Labor-Managed Company and a Discontinuous Demand Function, IEEE Access, Vol. 10, pp. 107799-107808. (SCI, IF: 3.476)

  • Muhammad Shukri Che Lah, Nureize Arbaiy, Syahir Ajwad Sapuan, and P.-C. Lin (2022). Environmental noise pollution forecasting using Fuzzy-Autoregressive Integrated Moving Average modeling, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13, No. 9. pp. 838-843. (EI)

  • P.-C. Lin*, Benjamin Yankson, Vishal Chauhan, and Manabu Tsukada (2022). Building a Speech Recognition System with Privacy Identification Information based on Google Voice for Social Robots, J Supercomput, Vol. 78, pp. 15060–15088. (SCI, IF: 2.557)

2021

  • S. B. Yaakob, A. S. F. Rahman, N. M. Mukhtar, M. N. Yaakob, N. Arbaiy, and P.-C. Lin (2021). A Decade of Soft Computing Approaches in Power System Investment Planning, Journal of Physics: Conference Series (JPCS), Vol. 1878, 012042. (EI)

  • Foo Yoke Ling, Nureize Arbaiy, Yana Mazwin Mohmad Hassim, and P.-C. Lin (2021). Bus Ticketing System with Multiple Routes Suggestion, Turkish Journal of Computer and Mathematics Education (TURCOMAT), Vol.12, No.3, pp. 1816-1824. (SCOPUS)

  • P.-C. Lin* and N. Arbaiy (2021). User-Oriented Preference Toward a Recommender System, Baghdad Science Journal, Vol. 18, No. 1 (Suppl.), pp. 0746. (SCOPUS)

  • N. L. Sheng, N. Arbaiy, C. C. Wen, and P.-C. Lin (2021). Delivery Route Management based on Dijkstra Algorithm, Baghdad Science Journal, Vol. 18, No. 1 (Suppl.), pp. 0728. (SCOPUS)

  • P.-C. Lin* (2021). Character Model Identification and Interactive AI Simulation Application, Impact, Vol. 2021, No. 1, pp. 18-20(3). (EBSCO) « Research Insights—Cover Character»

2020

  • P.-C. Lin*, Muhammad Shukri Che Lah, and Nureize Arbaiy (2020). An Architecture of Air Pollution Alert System based on ARIMA Model, Solid State Technology, Vol. 63, No. 3, pp.881-892. (SCOPUS)

  • Mohammad Haris Haikal Othman, Nureize Arbaiy, Muhammad Shukri Che Lah, and P.-C. Lin (2020). Mean-Variance Model with Fuzzy Random Data, Journal of Critical Reviews (JCR), Vol. 7, No.8, pp.1347-1352.

  • Muhammad Shukri Che Lah, Nureize Arbaiy, and P.-C. Lin (2020). Stock Index Modelling Using ARIMA with Standard Deviation Based Triangular Fuzzy Numbers, Journal of Critical Reviews (JCR), Vol. 7, No.8, pp.1264-1268.

  • Muhammad Izwan Idris, Abdul Hadi Abd Rahman, P.-C. Lin, and Patrick C. K. (2020). Life Expectancy Analysis of DSR and DSDV Protocol in MANET with Dos Attack, International Journal of Computer Science and Network Security (IJCSNS), Vol.20, No.3. (ESCI)

  • P.-C. Lin*, C.-A., Lai, Y.-H. Lin, M. Haris Haikal Othman (2020). Movie Recommender Chatbot Based on Kansei Engineering, Journal of Soft Computing and Data Mining (JSCDM), Vol. 01, No.01, pp. 36-45. (Google Scholar)

2019

  • Nureize Arbaiy, Syahir Ajwad Sapuan, Muhammad Shukri Che Lah, Mohamad Haris Haikal Othman, and P.-C. Lin (2019). The Construction Site Ambient Noise Monitoring System with Internet of Things (IoT), Computational Research Progress in Applied Science & Engineering (CRPASE), Vol. 05, No.04, pp.118-121. (Google Scholar)

2018

  • Ng Pui Xiang, Nureize Arbaiy, Hamijah Ab Rahman, Mohd Zaki Mohd Salikon, and P.-C. Lin (2018). Confidence interval calculator for fuzzy random regression, AIP Conference Proceeding, Vol. 1974, Issue. 1, 020028-1–020028-9. (SCOPUS)

  • Nureize Arbaiy, Hamijah Ab Rahman, Mohd Zaki Mohd Salikon, and P.-C. Lin (2018). Workplace Safety Risk Assessment Model Based on Fuzzy Regression, Advanced Science Letters, Vol. 24, No. 3, pp. 1656-1659. (Google Scholar)

2017

  • Hamijah Mohd. Rahman, Nureize Arbaiy, and P.-C. Lin (2017). Hybrid Uncertainties Modeling for Production Planning Problems, Communications in Mathematics and Applications, Vol. 8, No. 2, pp. 191–206. (ESCI)

2016

  • Nureize Arbaiy and P.-C. Lin (2016). Weighted Value Assessment of Linear Fractional Programming for Possibilistic Multi-Objective Problem, International Journal of Advanced Intelligence Paradigms (IJAIP), Vol.8, No.1, pp. 42-58. (SCOPUS)

2014

  • P.-C. Lin*, J. Watada and B. Wu (2014). A Parametric Assessment Approach to Solving Facility Location Problems with Fuzzy Demands, IEEJ Transactions on Electronics, Information and Systems, Vol. 9, No. 5, pp.484-493. (SCI, IF: 0.363)

2013

  • P.-C. Lin*, J. Watada and B. Wu (2013). Risk Assessment of a Portfolio Selection Model Based on a Fuzzy Statistical Test, IEICE Transactions on Information and Systems, Vol. E96-D, No. 3, pp. 579-588. (SCI, IF: 0.191)

  • P.-C. Lin*, J. Watada and B. Wu (2013). Identifying the Distribution Difference between Two Populations of Fuzzy Data Based on a Nonparametric Statistical Method, IEEJ Transactions on Electronics, Information and Systems, Vol. 8, No. 6, pp. 591-598. (SCI, IF: 0.363)

2012

  • P.-C. Lin*, J. Watada and B. Wu (2012), Portfolio Selection Model with Interval Values Base on Fuzzy Probability Distribution Functions, International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 8, No. 8, pp. 5935-5944. (SCI: IF: 2.93)

  • P.-C. Lin*, B. Wu and J. Watada (2012). Goodness-of-Fit Test for Membership Functions with Fuzzy Data, International Journal of Innovative Computing, Information and Control, Vol. 8, No. 10, pp. 7437-7450. (SCI: IF: 2.93)

2011

  • P.-C. Lin*, J. Watada and B. Wu (2011). A Database For A New Fuzzy Probability Distribution Function and Its Application, International Journal of Innovative Management, Information and Production, Vol. 2, No. 2, pp. 1-7

2009

  • P.-C. Lin*, J. Watada and B. Wu (2009). Fuzzy Synthesis Evaluation on Market Survey with Pop Music Awards, Journal of Management Science & Statistical Decision, Vol. 6, No. 4, pp. 92-96.

會議發表 (2007 - 2025)

2025

  • Eric Odle, P.-C. Lin*, Amin Farjudian, Discerning Music Genres: Exploring Neural Network Architectures for Automated Classification, 29th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2025), Osaka, Japan, Sep. 10-12, 2025.

2024

  • P.-C. Lin*, Chen-Yu Yu, and Eric Odle, Prototype for a Personalized Music Recommendation System Based on TL-CNN-GRU Model with 10-Fold Cross-Validation, 2024 7th Artificial Intelligence and Cloud Computing Conference (AICCC 2024), Tokyo, Japan, Dec. 14-16, 2024.

  • Odle, Eric, Y.-J. Hsueh, S. Ghzal, and P.-C. Lin, Japanese adverb taxonomy: Modern nlp tools and comparative linguistic analysis, 30th Annual Conference of the Association for Natural Language Processing, Kobe, Japan, March 2024.

2023

  • Junzo Watada, P.-C. Lin, Bo Wang, and Jeng-Shyang Pan, A Type 2 Fuzzy Set Approach For Natural Words Regression Analysis Under Random Environment, 17th International Conference on Innovative Computing, Information and Control (ICICIC2023), Kumamoto, Japan, August 29-31, 2023.

  • Muhammad Shukri Che Lah, Nureize Arbaiy, and P.-C. Lin, ARIMA-LP: A Hybrid Model for Air Pollution Forecasting with Uncertainty Data, 8th International Conference on Software Engineering & Computer Systems 2023 (IEEE ICSECS 2023), PARKROYAL Penang Resort, Malaysia, August 25, 2023.

2022

  • Zeyu Xiong, P.-C. Lin, and Amin Farjudian, Retaining Semantics in Image to Music Conversion, 24th IEEE International Symposium on Multimedia (ISM2022), Naples, Italy, December 5-7, 2022.

2020

  • P.-C. Lin*, Benjamin Yankson, and Patrick C. K. Hung, A Prototype of Privacy Identification System for Smart Toy Dialogue Design, 17th IEEE International Conference on Networking, Sensing and Control (IEEE ICNSC 2020), pp. 1-6, (doi: 10.1109/ICNSC48988.2020.9238116.), Nanjing, China, Oct 30 - Nov. 2, 2020.

2019

  • P.-C. Lin*, Benjamin Yankson, Zhihui Lu, and Patrick C. K. Hung, Children Privacy Identification System in LINE Chatbot for Smart Toys, IEEE International Conference on Cloud Computing (IEEE CLOUD 2019), pp.86-90, Milan, Italy, July 8-13, 2019.

  • Mohammad Haris Haikal Othman, Nureize Arbaiy, Muhammad Shukri Che Lah and P.-C. Lin (2019). Fuzzy Random Data Preparation in Portfolio Selection Model, 5th International Conference on Communication, Management and Information Technology (ICCMIT2019), Vienna, Austria, March 26-28, 2019.

2018

  • P.-C. Lin*, David Mettrick, Patrick C. K. Hung, and Farkhund Iqbal, Towards A Music Visualization on Robot (MVR) Prototype, IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR2018), pp.256-257, Taichung, Taiwan, December 10-12, 2018.

  • Sheng-Tsung Hou, Forrence HsinHung Chen, and P.-C. Lin, From Sharing Good to Build a Common Good Society: Take the Mobility Platform for Vulnerable Groups as an Example, 2018 15th International Symposium on Pervasive Systems, Algorithms and Networks (I-SPAN), pp.335-336, Yichang, China, Oct. 16-18, 2018.

  • P.-C. Lin* and Nureize Arbaiy (2018). A Novel Classifier for A Kansei Recommender System, 2018 IEEE International Conference on Cognitive Computing (IEEE ICCC), San Francisco, USA, pp.114-117, July 2-7, 2018.

2017

  • P.-C. Lin*, Nureize Arbaiy and Yung-Chin Hsiao (2017). Hypothesis Test for Identifying the Vague Factors from Consolidated Income, 2017 IEEE International Conference on Fuzzy Systems (Fuzzy-IEEE), Naples, Italy, July 9-12, pp.1-6, 2017. (Ranking A)

2013

  • P.-C. Lin*, J. Watada and B. Wu (2013). Facility Location Problems with Fuzzy Demands Based on Parametric Assessment, 2013 IFSA World Congress NAFIPS Annual Meeting, pp.795-800, Edmonton, Canada, June 24-28, 2013.

  • R. Durongdej, P.-C. Lin, J. Watada, T. Waripan (2013). A Game Approach to Fuzzy Variable-Based Two-Echelon Logistic Model, The 7th International Conference on New Trends in Information Science, Service Science and Data Mining(ISSDM2013), Jeju Island, Korea, June 18-20, 2013.

2012

  • P.-C. Lin*, J. Watada and B. Wu (2012), Decision Making of a Portfolio Selection Model Based on Fuzzy Statistic Test, The 13th International Symposium on Advanced Intelligent Systems (SCIS-ISIS 2012), Kobe, Japan, November 20-24, 2012.

2011

  • P.-C. Lin*, J. Watada and B. Wu (2011). Statistic Test on Fuzzy Portfolio Selection Model, 2011 IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, June 27-30, 2011. (Ranking A)

2010

  • P.-C. Lin*, S. Wang and J. Watada (2010). Decision Making of Facility Locations Based on Fuzzy Probability Distribution Function, The IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2010), Macao, China, Dec. 7-10, pp.1911-1915, 2010.

  • P.-C. Lin*, J. Watada and B. Wu (2010). Database of Fuzzy Probability Distribution Function and Its Application, The International Symposium on Innovative Management, Information & Production (IMIP 2010), Hangzhou, China, Oct. 9-11, pp.241-247, 2010.

  • P.-C. Lin*, J. Watada and B. Wu (2010). Building Fuzzy Portfolio Selection Model with Interval Values under Probability Distribution Function, The 7th International Symposium on Management Engineering (ISME 2010), Kitakyushu, Japan, August 26-28, pp.346-351, 2010.

2009

  • H. Zhang, P.-C. Lin, B. Wu, and J. Watada (2009). Fuzzy Valuation in Real Options Analysis, The 25th Fuzzy System Symposium (FSS2009) English Section: Decision Making under Uncertain Environment, Tsukuba, Japan, July 14-16, 2009.

榮譽與獎項

研究洞察 — 封面人物

  • P.-C. Lin*, Character Model Identification and Interactive AI Simulation Application, Impact, Volume 2021, Number 1, pp. 18-20 (3), February 2021.

會議最佳論文獎

  • Muhammad Shukri Che Lah, Nureize Arbaiy, and P.-C. Lin*, Forecasting of ARIMA air pollution with improved Fuzzy Data Preparation, the 9th International Conference on Applied Science and Technology (9th ICAST 2021) & the 5th International Conference on Business, Economics & Finance (5th ICBEF 2021), Virtual Conference, April 5-6, 2021.

逢甲大學優秀論文獎

  • Hamijah Mohd Rahman, Nureize Arbaiy, Chuah Chai Wen, and P.-C. Lin, Estimating Probability Values based on Naïve Bayes for Fuzzy Random Regression Model, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 14, No. 8. pp. 579-584, August 2023. (EI)

  • Odle, E., Y.-J. Hsueh, and P.-C. Lin, Semantic Positioning Model Incorporating BERT/RoBERTa and Fuzzy Theory Achieves More Nuanced Japanese Adverb Clustering, Electronics, Vol. 12, No. 19, 4185, Oct. 2023. (SCI)

  • P.-C. Lin*, Patrick C. K. Hung, Ying Jiang, Carolina Padilla Velasco, and Marco Antonio Martínez Cano, An Experimental Design for Facial and Color Emotion Expression of a Social Robot, J Supercomput, Vol.79, pp. 1980–2009, 2023 (SCI)

  • Muhammad Shukri Che Lah, Nureize Arbaiy, Syahir Ajwad Sapuan, and P.-C. Lin, Environmental noise pollution forecasting using Fuzzy-Autoregressive Integrated Moving Average modelling, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 13, No. 9. pp. 838-843, Sep. 2022. (EI)

  • Xuanning Song, Bo Wang, P.-C. Lin, Guangyu Ge, Ran Yuan, and Junzo Watada, Scenario-Based Distributionally Robust Unit Commitment Optimization Involving Cooperative Interaction with Robots, Information Systems Frontiers, Vol. 26, pp. 9–23, 2024. (SCI)

  • P.-C. Lin*, Benjamin Yankson, Vishal Chauhan, and Manabu Tsukada, Building a Speech Recognition System with Privacy Identification Information based on Google Voice for Social Robots, J Supercomput, Vol. 78, pp. 15060–15088, 2022. (SCI)

  • N. Kalashnykova, V. Kalashnikov, J. Watada, J. G. Flores-Muñiz, T. Anwar and P. -C. Lin, Consistent Conjectural Variations Equilibrium in a Mixed Oligopoly Model with a Labor-Managed Company and a Discontinuous Demand Function, IEEE Access, Vol. 10, pp. 107799-107808, 2022. (SCI)

  • S. B. Yaakob, A. S. F. Rahman, N. M. Mukhtar, M. N. Yaakob, N. Arbaiy, and P.-C. Lin, A Decade of Soft Computing Approaches in Power System Investment Planning, Journal of Physics: Conference Series (JPCS), Volume 1878, May 2021, 012042, IOP Publishing. (EI)

專業服務

程式委員會 (PC) / 技術委員會 (TC) / 主席

  • 2025 7th International Conference on Big Data Engineering (BDE 2025), TC
  • 2024 The 16th International KES Conference — Intelligent Decision Technologies (KES-IDT 2024), PC
  • 2024 7th Artificial Intelligence and Cloud Computing Conference (AICCC 2024), TC
  • 2024 6th International Conference on Big Data Engineering (BDE 2024), TC
  • 2024 Technical Committee for Academic Research Society of Malaysia (ARMS), PC
  • 2021 10th International Conference on Applied Science and Technology (ICAST2021), TC
  • 2020 17th IEEE International Conference on Networking, Sensing and Control (ICNSC 2020), PC
  • 2020 18th International Conference on High Performance Computing & Simulation (HPCS 2020), The 4th Special Session on High Performance Services Computing and Internet Technologies (SerCo 2020), PC
  • 2020 17th IEEE International Conference on Networking, Sensing and Control (ICNSC2020), Chair
  • 2020 17th IEEE International Conference on Networking, Sensing and Control (ICNSC2020), PC
  • 2020 The International Conference on Soft Computing and Data Mining (SCDM2020), PC
  • 2019 9th IEEE International Symposium on Cloud and Service Computing (IEEE SC2 2019), Chair
  • 2018 The 13 International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2018), PC
  • 2018 The IEEE International Conference on e-Business Engineering (ICEBE 2018), PC
  • 2018 International Symposium on Management Engineering (ISME 2018), PC
  • 2018 The International Conference on Soft Computing and Data Mining (SCDM2018), PC
  • 2017 Bilateral International Conference between Twenty-Sixth International Conference Forum of Interdisciplinary Mathematics (FIM2017) and Fourteenth International Symposium on Management Engineering (ISME2017), PC
  • 2016 The International Conference on Soft Computing and Data Mining (SCDM2016), PC
  • 2016 Bilateral International Conference between International Symposium on Innovative Management, Information and Production (IMIP2016) and International Symposium on Management Engineering (ISME2016), PC
  • Various International Symposium on Management Engineering (ISME), PC

關於 Rebecca AI Lab

Rebecca AI Lab was founded in 2017 by Associate Professor Pei-Chun Lin as a part of the Feng Chia University, Department of Information Engineering and Computer Sciences. The laboratory focuses on System Analysis and Robotic Computing and has engaged in the fields of Artificial Intelligence of Things (AIOT) and live entertainment. The AIOT research applications include building Smart Speaker and Companion Robot. The live entertainment research includes Music Composer and VR platforms for performances.

Dr. Lin not only has good results in the research field but also serves as the editor and reviewer of many top journals. At the same time, she also serves as the keynote speaker for many international academic exchanges.