WEI-CHENG LIEN | Artificial Intelligence | Best Researcher Award

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Dr. WEI-CHENG LIEN | Artificial Intelligence | Best Researcher Award

πŸ‘€ Dr. WEI-CHENG LIEN, Hyson Technology Inc, Taiwan

Wei-Cheng Lien is the CEO and Co-Founder of HysonTech Inc., based in Taiwan, where he leads the company’s AIoT solutions for various industries. With a Ph.D. in Electrical Engineering from National Cheng Kung University, Lien specializes in AI, AIoT hardware/software integration, and digital transformation. He has held significant leadership roles across diverse organizations, including his work as a director for the Taiwan Artificial Intelligence Association and as an industry technology advisor for the National Applied Research Laboratories. Lien’s contributions to fields such as medical diagnostics, smart traffic enforcement, and manufacturing automation have earned him recognition globally. His work has influenced both academia and industry, with numerous awards and patents to his name. He continues to innovate at the intersection of AI and IoT, driving digital transformation and leading key projects like Taiwan Taoyuan International Airport Terminal 3.

Professional Profile

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🌟 Research for Best Researcher Award: Wei-Cheng Lien

Suitability for the Award:

Wei-Cheng Lien is exceptionally suited for the Research for Best Researcher Award due to his remarkable achievements in both the academic and entrepreneurial realms, coupled with his extensive experience in the field of electrical engineering and artificial intelligence (AI). With a Ph.D. in Electrical Engineering (EE) from National Cheng Kung University and a track record of over 50 technical papers and 9 patents, Dr. Lien has made significant contributions to various cutting-edge areas, such as AI, AIoT (Artificial Intelligence of Things) hardware/software integration, and digital transformation.

As the CEO of HysonTech Inc., he has been instrumental in driving innovative AIoT solutions across diverse industries, from aquaculture to medical diagnostics, emphasizing his capability to translate research into impactful real-world applications. His leadership extends beyond his company, as he holds prominent advisory roles with leading institutions like the Taiwan National Science and Technology Council and the Institute for Information Industry. His leadership in AI and technology is further demonstrated by his contributions to the Taiwan Artificial Intelligence Association and several high-profile projects such as the Taiwan Taoyuan International Airport Terminal 3 development.

πŸŽ“ Education 

Wei-Cheng Lien earned his Ph.D. in Electrical Engineering (EE) from National Cheng Kung University (NCKU), Taiwan, where he achieved a remarkable GPA of 4.0. His educational journey also includes a Bachelor’s degree in EE from NCKU, where he earned a GPA of 3.4. During his academic tenure, Lien demonstrated a strong focus on Artificial Intelligence, AIoT, and digital transformation, with his research laying the groundwork for his subsequent professional achievements. Lien’s time at Duke University as a visiting scholar further broadened his perspective, and his contributions to AI and electronics research gained significant recognition. His education, coupled with extensive hands-on experience in AI and hardware/software integration, has shaped him into a leader in the industry. Lien’s academic excellence and innovation are the bedrock upon which his diverse professional experiences and entrepreneurial ventures are built.

πŸ’Ό  Professional Experience

Wei-Cheng Lien is the CEO and Co-Founder of HysonTech Inc., where he leads innovative AIoT solutions across sectors like aquaculture, smart traffic enforcement, and medical diagnostics. Under his leadership, HysonTech integrates AI technologies into hardware and software systems, offering complete solutions to its clients. Prior to this, Lien served as the CTO of Slash Living Culture Company, where he developed reed-based plant straws and building materials, incorporating AIoT monitoring techniques. His career also includes his role as Manager of the Intelligence System Division at AVITONE CO., LTD., where he focused on image system integration for advanced X-ray scanners. Lien’s earlier experience at MediaTek Inc. as Senior Engineer and Fellow Student further honed his expertise in AI and computing technologies. His extensive professional experience spans AI integration, digital transformation, and innovative product development, driving growth and technological advancement in multiple industries.

πŸ…Awards and Recognition

Wei-Cheng Lien has been honored with over 60 prestigious awards throughout his career. Notably, he was named the 2025 Outstanding Alumni of Taichung Municipal Taichung First Senior High School and received the 2024 Taiwan AI Award at the AI Taiwan x Future Commerce Exhibition. Lien’s achievements in AI and digital transformation were recognized with the 2024 Taiwan InnoTech Expo’s Two Invention Medals, along with Best Paper Awards at various conferences, including the Investigative Technology and Forensic Science Symposium. He was also awarded the 2024 Best Conference Paper Award at the IEEE International Conference on Electronic Communications, Internet of Things, and Big Data. Lien’s entrepreneurial success was acknowledged with the 2024 Best Startup Selection in Beijing and other notable innovation awards. Additionally, he was recognized with the 2023 EE Times Asia Award for Best AI Product of the Year and numerous awards from government and industry organizations for his contributions to AI and digital transformation.

🌍 Research Skills Artificial Intelligence

Wei-Cheng Lien’s research skills lie at the forefront of AI, AIoT integration, and digital transformation. His expertise spans IC design, testing, diagnosis, and software-hardware systems integration, which allows him to create innovative solutions across a range of industries. Lien’s work in AI computing, particularly in CPU DFT architectures and low-cost test techniques for System on Chips (SoCs), has been instrumental in reducing test costs and improving design accuracy. His research on output selection for SOC debug systems has earned global recognition for reducing test response volumes and minimizing area overhead. Lien has authored over 50 technical papers and holds 9 patents, further demonstrating his proficiency in cutting-edge research. His ability to bridge the gap between theoretical knowledge and practical application has been a key factor in his contributions to AI-driven industries such as healthcare, smart cities, and advanced manufacturing. Lien’s ongoing research continues to push the boundaries of AI and IoT technology.

πŸ“– Publication Top Notes

  • A rapid household mite detection and classification technology based on artificial intelligence-enhanced scanned images
    • Authors: Lin, L.H.-M., Lien, W.-C., Cheng, C.Y.-T., Lai, Y.-T., Peng, Y.-T.
    • Citation: Internet of Things (The Netherlands), 2025, 29, 101484
  • Image DemoirΓ©ing via Multiscale Fusion Networks With MoirΓ© Data Augmentation
    • Authors: Peng, Y.-T., Hou, C.-H., Lee, Y.-C., Lin, Y.-T., Lien, W.-C.
    • Citation: IEEE Sensors Journal, 2024, 24(12), pp. 20114–20127
    • Citations: 3
  • Fully automated learning and predict price of aquatic products in Taiwan wholesale markets using multiple machine learning and deep learning methods
    • Authors: Lai, Y.-T., Peng, Y.-T., Lien, W.-C., Liao, C.-J., Chiu, Y.-S.
    • Citation: Aquaculture, 2024, 586, 740741
    • Citations: 2
  • Traffic Violation Detection via Depth and Gradient Angle Change
    • Authors: Peng, Y.-T., Liu, C.-Y., Liao, H.-H., Lien, W.-C., Hsu, G.-S.J.
    • Citation: 2022 IEEE 7th International Conference on Intelligent Transportation Engineering, ICITE 2022, 2022, pp. 326–330
    • Citations: 1
  • Unveiling of How Image Restoration Contributes to Underwater Object Detection
    • Authors: Peng, W.-Y., Peng, Y.-T., Lien, W.-C., Chen, C.-S.
    • Citation: 2021 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2021, 2021
    • Citations: 7
  • Output bit selection methodology for test response compaction
    • Authors: Lien, W.-C., Lee, K.-J.
    • Citation: Proceedings – International Test Conference, 2016, 0, 7805873
  • A Test-per-cycle BIST architecture with low area overhead and no storage requirement
    • Authors: Shiao, C.-M., Lien, W.-C., Lee, K.-J.
    • Citation: 2016 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2016, 2016, 7482556
    • Citations: 11
  • Efficient LFSR Reseeding Based on Internal-Response Feedback
    • Authors: Lien, W.-C., Lee, K.-J., Hsieh, T.-Y., Chakrabarty, K.
    • Citation: Journal of Electronic Testing: Theory and Applications (JETTA), 2014, 30(6), pp. 673–685
    • Citations: 7
  • Output-bit selection with X-avoidance using multiple counters for test-response compaction
    • Authors: Lien, W.-C., Lee, K.-J., Chakrabarty, K., Hsieh, T.-Y.
    • Citation: Proceedings – 2014 19th IEEE European Test Symposium, ETS 2014, 2014, 6847823
    • Citations: 3
  • Output selection for test response compaction based on multiple counters
    • Authors: Lien, W.-C., Lee, K.-J., Chakrabarty, K., Hsieh, T.-Y.
    • Citation: Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2014, 2014, 6834865
    • Citations: 2

 

Ghulam Mohi-ud-din | AI | Best Researcher Award

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Prof. Ghulam Mohi-ud-din | AI | Best Researcher Award

πŸ‘€ Prof. Ghulam Mohi-ud-din, Northwestern Polytechnical University, China

Ghulam Mohi-ud-din is a highly skilled and accomplished professional in Software Engineering and Computer Science. Born in Rawalpindi, Pakistan, he has garnered extensive international experience in academia and industry. Holding a PhD in Software Engineering from the University of Florida, he has contributed to the field through teaching, research, and product development roles. With experience at prestigious institutions such as IBM, Oracle, and Nanchang Hangkong University, Ghulam’s work focuses on Artificial Intelligence, Machine Learning, and Software Engineering. His expertise in developing and coordinating large-scale projects and mentoring students has earned him recognition in the tech community.

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🌟  Summary of Suitability for the Research for Best Researcher Award:

Ghulam Mohi-ud-din is highly suitable for the Research for Best Researcher Award due to his extensive academic background, international exposure, and remarkable contributions to the fields of software engineering, artificial intelligence, and computer science. He has obtained a Ph.D. in Software Engineering from the prestigious University of Florida, USA, further solidifying his academic expertise. His earlier degrees, including a Master’s in Computer Science from the University of Florida and a Bachelor’s in Software Engineering from the University of Arizona, reflect his strong foundation in both theoretical and practical aspects of software development.

His professional journey demonstrates a unique combination of teaching, research, and industry experience. As a faculty member at Nanchang Hangkong University in China, he has significantly impacted students’ learning in areas such as Artificial Intelligence, Machine Learning, and Software Engineering.

πŸŽ“ Education

Ghulam Mohi-ud-din’s educational journey is marked by excellence in software engineering and computer science. He completed his PhD in Software Engineering from the University of Florida, USA, in January 2022, furthering his research in Artificial Intelligence. Prior to this, he obtained his Master of Science in Computer Systems Networking and Telecommunications from the same university in 2010. His academic career began with a Bachelor of Science in Software Engineering from the University of Arizona, USA, in 2007. Throughout his studies, Ghulam consistently demonstrated a strong aptitude for problem-solving and innovative thinking, especially in areas involving AI and data communication. His educational background laid a robust foundation for his subsequent professional achievements.

 πŸ’Ό  Professional Experience

Ghulam Mohi-ud-din’s career spans academia and industry, where he has made significant contributions. He currently serves as a faculty member at Nanchang Hangkong University in China, teaching courses in Artificial Intelligence, Machine Learning, Software Engineering, and Networking. Before this, he was a Product Development Coordinator at ResearchEx Ltd. in London, managing project costs, schedules, and performance. His previous roles at IBM as a Data Administrator and at Oracle Corporation as a Database Administrator allowed him to develop expertise in database management, system administration, and project coordination. Additionally, Ghulam has extensive experience in mentoring students, overseeing research projects, and securing funding for various academic initiatives. His work reflects a blend of technical knowledge and practical application, making him a key player in both academia and the technology industry.

πŸ… Awards and Recognition

Throughout his career, Ghulam Mohi-ud-din has earned numerous accolades and recognition for his exceptional work in software engineering and academia. His research contributions in Artificial Intelligence and Machine Learning have been widely recognized in both academic and professional circles. He has successfully secured funding for various research projects, including a $25,000 grant for his work at Oracle Corporation. His leadership in the academic community, particularly in teaching and mentoring students, has made a lasting impact. Additionally, Ghulam’s innovative work in database management and system administration at IBM and Oracle garnered praise for its strategic insights and efficiency. His dedication to advancing technology and education has positioned him as a respected figure in the field of computer science.

🌍 Research Skills On AI

Ghulam Mohi-ud-din possesses a robust skill set in software engineering and artificial intelligence research. His expertise spans data analysis, machine learning, AI algorithms, and system architecture. He is proficient in applying research methodologies to develop innovative solutions in complex technological fields, including network communications and software testing. Throughout his academic and professional career, he has demonstrated an exceptional ability to design and execute research projects that lead to meaningful outcomes, including published papers and conference presentations. His work involves creating security protocols, optimizing system performance, and contributing to cutting-edge AI research. Ghulam is also skilled at managing interdisciplinary teams, coordinating projects, and mentoring students to foster research excellence. His research is characterized by a blend of theoretical knowledge and practical application, making him a versatile and accomplished researcher in his field.

πŸ“– Publication Top Notes

  • A Wireless Sensor Network for Coal Mine Safety Powered by Modified Localization Algorithm
    • Authors: Hafiz Zameer ul Hassan, Anyi Wang, Ghulam Mohi-ud-din
    • Citation: Heliyon (2024-12)
  • Click-level Supervision for Online Action Detection Extended from SCOAD
    • Authors: Xiang Zhang, Yuhan Mei, Ye Na, Xia Ling Lin, Genqing Bian, Qingsen Yan, Ghulam Mohi-ud-din, Chen Ai, Zhou Li, Wei Dong
    • Citation: Future Generation Computer Systems (2024-12)
  • Unmanned Aerial Vehicle Intrusion Detection: Deep-meta-heuristic System
    • Authors: Shangting Miao, Quan Pan, Dongxiao Zheng, Ghulam Mohi-ud-din
    • Citation: Vehicular Communications (2024-04)
  • Real-time Portrait Image Retouching Extended from DualBLN
    • Authors: Xiang Zhang, Dawei Yan, Genqing Bian, Chengzhe Lu, Sifei Wang, Ghulam Mohi-ud-din, Qingsen Yan, Wei Dong
    • Citation: Expert Systems with Applications (2024-03)
  • Intrusion Detection Using Hybrid Enhanced CSA-PSO and Multivariate WLS Random-Forest Technique
    • Authors: Ghulam Mohi-ud-din, Liu Zhiqiang, Zheng Jiangbin, Wang Sifei, Lin Zhijun, Muhammad Asim, Yuxuan Zhong, Yuxin Chen
    • Citation: IEEE Transactions on Network and Service Management (2023-12)
  • Intrusion Detection Using Hybridized Meta-heuristic Techniques with Weighted XGBoost Classifier
    • Authors: Ghulam Mohiuddin, Zhijun Lin, Jiangbin Zheng, Junsheng Wu, Weigang Li, Yifan Fang, Sifei Wang, Jiajun Chen, Xinyu Zeng
    • Citation: Expert Systems with Applications (2023-12)
  • Intrusion Detection in Wireless Sensor Network Using Enhanced Empirical Based Component Analysis
    • Authors: Liu Zhiqiang, Ghulam Mohiuddin, Zheng Jiangbin, Muhammad Asim, Wang Sifei
    • Citation: Future Generation Computer Systems (2022-10)
  • NIDS: Random Forest Based Novel Network Intrusion Detection System for Enhanced Cybersecurity in VANET’s
    • Authors: Ghulam Mohi-ud-din, Jiangbin Zheng, Zhiqiang Liu, Muhammad Asim, Jiajun Chen, Jinjing Liu, Zhijun Lin
    • Citation: 2022 International Conference on Virtual Reality, Human-Computer Interaction and Artificial Intelligence (VRHCIAI) (2022-10)
  • A Novel Deep Learning-Based Security Assessment Framework for Enhanced Security in Swarm Network Environment
    • Authors: Zhiqiang Liu, Ghulam Mohi-ud-din, Jiangbin Zheng, Sifei Wang, Muhammad Asim
    • Citation: International Journal of Critical Infrastructure Protection (2022-09)
  • Modeling Network Intrusion Detection System Using Feed-Forward Neural Network Using UNSW-NB15 Dataset
    • Authors: Liu Zhiqiang, Ghulam Mohi-ud-din, Li Bing, Luo Jianchao, Zhu Ye, Lin Zhijun
    • Citation: 2019 IEEE 7th International Conference on Smart Energy Grid Engineering (SEGE) (2019-08)