Lacrimioara Grama | Social Robotics | Best Researcher Award

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.

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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

Rui Miao | Artificial Intelligence | Best Researcher Award

Assoc. Prof. Dr. Rui Miao |  Artificial Intelligence | Best Researcher Award

Associate Researcher at Zhejiang Lab, China

Dr. Rui Miao is an Associate Researcher at Zhejiang Lab, specializing in artificial intelligence and image processing. He earned his Ph.D. in Engineering from Beihang University in 2022 and began postdoctoral research the same year, focusing on multi-modal cross-domain image enhancement for intelligent navigation systems across air, land, and water. Dr. Miao has led or participated in 7 research projects, published in top-tier journals such as IEEE Transactions on Geoscience and Remote Sensing and Pattern Recognition, and holds 28 patents (published or pending). His work contributes significantly to intelligent visual systems and applied AI.

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👨‍🎓 Academic Background

Dr. Rui Miao earned his Ph.D. in Engineering from Beihang University in 2022. He is currently an Associate Researcher at Zhejiang Lab, China.

🧠 Research Focus

His work explores cutting-edge areas such as:

  • Multimodal Image Processing

  • AI-based Image Generation & Matching

  • Visual Enhancement for Intelligent Systems

  • Model Inference Acceleration

🧪 Research Contributions

Dr. Miao has contributed to 7 major research projects and published impactful papers in top-tier journals like:

  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)

  • Pattern Recognition (PR)

🔬 Innovations & Patents:

He has filed or published 28 patents, focusing on advanced image enhancement algorithms tailored for cross-domain AI perception systems used in air, land, and water navigation.

📚 Publications & Recognition:

While still early in his academic journey, Rui’s innovative work has already gained visibility in the scientific community, although citation metrics and editorial roles are still forthcoming.

Publication:

“Attention-Guided Progressive Frequency-Decoupled Network for Pan-Sharpening”
IEEE Transactions on Geoscience and Remote Sensing, 2024.
DOI: 10.1109/TGRS.2024.3376730
Authors: Rui Miao, Hang Shi, Fengguang Peng, Siyu Zhang

 

 

Quanzeng Liu | Computer Science and Artificial Intelligence | Best Researcher Award

Mr. Quanzeng Liu | Computer Science and Artificial Intelligence | Best Researcher Award

Member Chinese Association of Automation China

Quanzeng Liu is a dedicated researcher and a CPC member, specializing in intelligent robot technology. Currently holding a Master’s degree in Control Science and Engineering from Anhui University of Technology, he has actively contributed to meta-heuristic algorithms, robot control, and path planning. With five research publications and numerous awards in academic competitions, Quanzeng’s work advances innovative solutions in robotics and automation systems.

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Education 🎓

Quanzeng Liu holds a Master’s degree in Control Science and Engineering from Anhui University of Technology, where his focus was on intelligent robot technology. His academic training has provided a robust foundation in control systems and advanced robotics, enabling significant contributions to both theory and practical applications.

Experience 💼

Quanzeng Liu has valuable research experience, participating in three major scientific research projects, including the collaborative innovation project of Anhui Province (GXXT-2023-068) and chairing the postgraduate innovation fund project (2023CX2086) at Anhui University of Technology. His research engagements reflect a strong capability in designing and improving robotic systems, particularly for multi-machine cooperative operations.

Research Interests 🔍

Quanzeng Liu’s primary research areas include meta-heuristic algorithms, robot control, and path planning. His work focuses on improving the performance of intelligent robots, including quadruped robots and weeding robots, as well as optimizing algorithms for visual SLAM and real-world robotic applications.

Awards 🏆

Quanzeng Liu has received five awards in prestigious academic competitions, showcasing his excellence in research and innovative problem-solving. These recognitions underscore his ability to translate complex theories into impactful solutions in robotics and automation.

Publications Top Notes:📚

Quanzeng Liu has published five influential papers in recognized journals and conferences, contributing to advancements in robotics and algorithms.

CMGWO: Grey wolf optimizer for fusion cell-like P systems
Heliyon, 2024. Read here

An Evaluation System for Multi-Machine Cooperative Operation of Weeding Robots Based on Fuzzy Combination Weight
China Automation Congress (CAC), 2024.

Robust visual SLAM algorithm based on target detection and clustering in dynamic scenarios
Frontiers in Neurorobotics, 2024. Read here

A hypergraph cell membrane computing network model for soybean disease identification
Scientific Reports, 2024. Read here

Conclusion

Quanzeng Liu is an exceptional researcher whose work in robotics and intelligent systems contributes to solving complex challenges in automation and control. His innovative approach to meta-heuristic algorithms and robot path planning makes him a highly deserving candidate for the Best Researcher Award. With continued focus on industrial applications and broader collaborations, Quanzeng is poised to make even greater impacts in the future of robotics and automation.