Huaiqu Feng | Robot | Best Researcher Award

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Dr. Huaiqu Feng | Robot | Best Researcher Award

Zhejiang University | China

Huaiqu Feng is an accomplished researcher and engineer from China with a strong academic background in agricultural mechanization engineering and automation. He completed his undergraduate studies in Automation at Hubei Normal University, where he built a solid foundation in control theory, intelligent systems, signal processing, and electronics. He then pursued a master’s degree in Agricultural Mechanization Engineering at Northeast Agricultural University, focusing on areas such as image processing, deep learning, computer vision, and advanced agricultural mechanics. His research interests center on the integration of intelligent control systems and machine vision technologies to improve agricultural equipment and automation. He has contributed to several scientific papers submitted to international SCI-indexed journals, addressing topics such as deep learning-based corn kernel selection and targeted pesticide spraying platforms. His research output includes 20 documents with 431 citations by 376 documents, reflecting his growing impact in the scientific community. His innovative work is also demonstrated through multiple patents for agricultural machinery and software copyrights related to neural network-based prediction and measurement systems. He has received various scholarships and awards for academic excellence and innovation, including recognition in national competitions such as the “Blue Bridge Cup” and the “Huawei Cup.” Beyond his technical achievements, he has demonstrated leadership through active involvement in student organizations, academic committees, and innovation programs, leading teams in robotics and intelligent control system design. His multidisciplinary expertise bridges automation, machine learning, and agricultural engineering, contributing to the advancement of smart farming technologies.

Profile: Scopus

Featured Publications

Feng, Huaiqu (2025). TD-CFD-DPM coupled method for multi-objective optimization of collision pollination parameters in hybrid rice seed production. Smart Agricultural Technology.

Feng, Huaiqu (2025). nUGV-1UAV robot swarms: Low-altitude remote sensing-based decentralized planning framework in-field environments. ISPRS Journal of Photogrammetry and Remote Sensing.

Lacrimioara Grama | Social Robotics | Best Researcher Award

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Assoc. Prof. Dr. Lacrimioara Grama | Social Robotics | Best Researcher Award

Technical University of Cluj-Napoca, Romania

Lăcrimioara-Romana Grama is an Associate Professor at the Technical University of Cluj-Napoca, Faculty of Electronics, Telecommunications and Information Technology, within the Basis of Electronics Department. She holds a PhD in Electronic Engineering and Telecommunications, with expertise in digital signal processing, data modeling, and electronic systems.

Profile:

Educational Background:

She holds a PhD in Electronic Engineering and Telecommunications, awarded Magna Cum Laude. Additionally, she completed an MSc in Design Techniques for Complex Electronic Circuits and an Engineer Diploma in Communications. She has also obtained certifications in pedagogy and academic leadership from institutions such as Harvard Graduate School of Education, Babson College, and University POLITEHNICA of Bucharest.

Leadership and Administrative Roles:

Grama currently serves as Vice-Dean and President of the Faculty Scholarship Committee. She has coordinated master-level admissions, represented her faculty in various university-wide and European initiatives (including EUt+ and RO European Universities), and contributed to numerous accreditation processes for academic programs.

Scientific and Academic Contributions:

She has actively participated in organizing international conferences such as RTSP, SpeD, and SPAMEC, often as a technical chair. Her roles also include session chair and technical program committee member for major conferences like IEEE ICIIP, EUSIPCO, and VisionNet.

Community and Institutional Engagement:

Beyond teaching and research, she has shown a strong commitment to community-building within the academic ecosystem through student mentorship, promotion of study programs, coordination of Erasmus students, and sustained involvement in faculty governance.

Google Scholar Citation Metrics:

  • Total citations: 452

  • Citations since 2020: 251

  • h-index: 11

  • h-index since 2020: 9

  • i10-index: 15

  • i10-index since 2020: 8

Publication Top Notes:

Audio signal classification using linear predictive coding and random forests
2017
34

On the optimization of SVM kernel parameters for improving audio classification accuracy
2017
31

Supercapacitor modelling using experimental measurements
2009
25

Adding audio capabilities to TIAGo service robot
2018
23

A novel wearable foot and ankle monitoring system for the assessment of gait biomechanics
2020
22

Extending assisted audio capabilities of TIAGo service robot
2019
18