Hao-Ting Lin | Feature-Driven Optimization | Best Researcher Award

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Assoc Prof. Dr. Hao-Ting Lin | Feature-Driven Optimization | Best Researcher Award

Associate Professor | National Chung Hsing University | Taiwan

Dr. Hao-Ting Lin is an Associate Professor at National Chung Hsing University specializing in robotics, control systems, and bio-industrial mechatronics engineering, with a strong focus on automation, intelligent systems, and sustainable agricultural technologies. He holds advanced degrees in mechanical and control engineering and has developed expertise in the design and integration of robotic mechanisms, sensor-based control, and pneumatic power systems for poultry and agricultural applications. His professional experience includes leading over 30 completed and several ongoing research and consultancy projects, authoring 20 peer-reviewed journal papers, and publishing a book chapter on smart agricultural technologies. Dr. Lin’s research focuses on IoT-enabled humane poultry slaughtering systems, deep learning-based chicken image recognition, precision pneumatic seeders, energy-efficient control strategies for wastewater and agricultural machinery, and robotic sorting systems. He has been granted 12 patents covering innovations in pneumatic automation, exoskeleton systems, aquaculture water quality management, and intelligent sewing and seeding devices. Dr. Lin’s contributions integrate control theory, mechatronics, artificial intelligence, and real-time systems to advance productivity, animal welfare, and sustainability in agriculture and industry. His scholarly impact is reflected in 170 citations by 161 documents, 20 published documents, and an h-index of 6.

Profile: Scopus | ORCID

Featured Publications

1. Lin H.T.*, Suhendra, Development and Implementation of an IoT-Enabled Smart Poultry Slaughtering System Using Dynamic Object Tracking and Recognition. Sensors, 2025, 25(16), 5028.

2. Chen H.C., Rohman Y.F., Ashlah M.B., Lin H.T., Sean W.Y.*, Electrification of Agricultural Machinery: One Design Case of a 4 kW Air Compressor. Energies, 2024, 17(15), 3647.

3. Lin H.T.*, Lee Y.H., Implementing a Precision Pneumatic Plug Tray Seeder with High Seeding Rates for Brassicaceae Seeds via Real-Time Trajectory Tracking Control. Actuators, 2023, 12(9), 340.

4. Liu H.W., Chen C.H., Tsai Y.C., Hsieh K.W., Lin H.T.*, Identifying Images of Dead Chickens with a Chicken Removal System Integrated with a Deep Learning Algorithm. Sensors, 2021, 21(11), 3579.

5. Lin H.T.*, A Novel Real-Time Path Servo Control of a Hardware-in-the-Loop for a Large-Stroke Asymmetric Rod-Less Pneumatic System under Variable Loads. Sensors, 2017, 17(6), 1283.

 

Mohammad Amin | Gradient boosting | Young Scientist Award

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Mr. Mohammad Amin | Gradient boosting | Young Scientist Award

Mohammad Amin | RWTH Aachen University | Germany

Mr. Mohammad Yazdi is a distinguished researcher and academic with expertise in information technology, e-learning systems, and research data management. He holds advanced degrees in information systems and has built a robust academic and professional profile through his work in integrating IT solutions for collaborative research, developing interactive e-learning media, and enabling process mining for research data life cycles. Professionally, he has contributed to several high-impact projects, including the implementation of web services for integrated government systems, evaluation of FAIR data management architectures, and the orchestration of research cluster collaborations, demonstrating strong technical and leadership skills. His research focuses on e-learning as an interactive IT-based learning medium, process mining, IT resource management in research projects, and operational support systems, with a publication record spanning reputable conferences and journals. His works, including “E-learning sebagai media pembelajaran interaktif berbasis teknologi informasi,” “How to Manage IT Resources in Research Projects? Towards a Collaborative Scientific Integration Environment,” and “Event Log Abstraction in Client-Server Applications,” have collectively garnered significant citations, underscoring their academic impact. He has been recognized for his scholarly contributions and actively participates in academic dissemination through editorial roles and conference presentations. With a commitment to advancing digital transformation in education and research, Mohammad Yazdi stands out as a thought leader and innovator in his field, with 29 citations across 23 documents, 10 publications, and an h-index of 4

Profile: Google Scholar | Scopus | ORCID

Featured Publications

1. M. Yazdi*, E-learning sebagai media pembelajaran interaktif berbasis teknologi informasi. Foristek, 2012, 2(1), 680.

2. M. Yazdi*, Implementasi Web-Service pada Sistem Pelayanan Perijinan Terpadu Satu Atap di Pemerintah Kota Palu. Seminar Nasional Teknologi Informasi & Komunikasi Terapan, 2012, 450–457, 24.

3. M. Politze, F. Claus, B. Brenger, M.A. Yazdi*, B. Heinrichs, A. Schwarz, How to Manage IT Resources in Research Projects? Towards a Collaborative Scientific Integration Environment. 2020, 22.

4. M.A. Yazdi*, P. Farhadi Ghalati, B. Heinrichs, Event Log Abstraction in Client-Server Applications. 13th Int. Conf. Knowledge Discovery and Information Systems, 2021, 13.

5. M.A. Yazdi*, Enabling Operational Support in the Research Data Life Cycle. Proc. 1st Int. Conf. Process Mining – Doctoral Consortium, 2019, 13.