Wenting Chen| control | Best Researcher Award

Published on 16/06/2025 by CAD Awards

Dr. Wenting Chen| control | Best Researcher Award

Lecturer,Yanshan university, China

🔬 Short Biography 🌿💊📚

Dr. Wenting Chen is a dedicated Lecturer in the field of Control Engineering at Yanshan University, China. Her academic and research interests center around advanced control systems, automation technologies, and system dynamics. Dr. Chen has contributed significantly to the development of intelligent control algorithms and robust system optimization, with several publications in respected international journals and conferences. Her innovative work supports advancements in smart automation and next-generation control solutions. As a rising scholar in the domain of control systems, Dr. Chen continues to influence both academic and industrial sectors with her research excellence and teaching dedication

Profile

Orcid

Education 🎓

Dr. Wenting Chen holds a strong academic background in Mechanical and Electronic Engineering. She earned her Doctorate in September 2020 from Zhejiang University under the supervision of Prof. Wei Li and Prof. Yonggang Lin. Prior to that, she completed her Master’s degree from Yanshan University in June 2015, guided by Prof. Xiangdong Kong and Prof. Jing Yao. She began her academic journey with a Bachelor’s degree in Mechanical Design, Manufacture, and Automation at Yanshan University in 2012. Her educational progression reflects deep expertise and continuity in mechanical and electronic engineering fields.

Professional Experience 🏫

Since October 2020, Dr. Chen has served as a Lecturer and Master’s Supervisor at the School of Mechanical Engineering, Yanshan University. She is actively involved in teaching, supervising graduate students, and conducting cutting-edge research. She has led or participated in six ongoing research projects and collaborated with industry through nine projects (two ongoing, seven completed), highlighting her capability to bridge academia and industry. Dr. Chen is also a recipient of prestigious provincial and ministerial-level awards for her contributions to science and technology.

Skills & Expertise 🛠️

Dr. Chen’s core competencies include advanced control systems, LiDAR data analysis, and intelligent modeling for wind energy systems. She is proficient in applying Kalman filters, Gaussian models, ResNet50, and LSTM for predictive analytics. Her engineering control skills extend to enhanced hydraulic actuators (EHA) using sliding mode control, observer theory, and adaptive neural networks. Dr. Chen’s technical skills span across model-free adaptive control, pitch regulation, and MPPT optimization—demonstrating her multi-disciplinary approach combining mechanical systems with artificial intelligence techniques.

Awards and Recognition 🏆

Dr. Chen has been honored with the First Prize for Technological Invention in Hebei Province and the First Prize of Science and Technology Progress Award from the Ministry of Education. These awards recognize her significant contributions to technological advancement and innovation in engineering applications. Her achievements in academic and industrial settings underscore her eligibility and suitability for the Best Researcher Award.

Research Focus 🔬

Dr. Chen’s research centers on fluid power and control and wind energy optimization. She focuses on smart pitch control systems, real-time LiDAR wind data processing, and robust control strategies for renewable energy systems. Her work integrates control theory with machine learning—developing systems that are adaptive, intelligent, and disturbance-resistant. With 11 patents and 10 SCI/Scopus journal publications, she has contributed meaningfully to innovation in smart wind energy systems and predictive engineering.

📚Publication

1. Recent Advances in Sources of Bio‑Inspiration and Materials for Robotics and Actuators

Authors: Yue Yang, Chao Ai, Wenting Chen, … Yunhong Jiang
Year: June 2023
Publication Type: Literature review
Citations: ~10 researchgate.net+3researchgate.net+3pmc.ncbi.nlm.nih.gov+3

2. Research on High Precision Control of Maximum Power Point Tracking for Offshore Hydraulic Wind Turbine

Authors: Jiarui Zhang, Wenting Chen, Chao Ai, … Qin Zhou
Year: November 2022
Publication Type: Conference paper (on MPPT control in hydraulic wind turbines) researchgate.net

3. A Review of Energy Storage Technologies in Hydraulic Wind Turbines

Authors: Chao Ai, Lin Zhang, Wei Gao, … Wenting Chen (co‑author)
Year: July 2022
Publication Venue: Energy Conversion and Management
Citations: ~66

🏁conclusion:

Highly Recommended for the Best Researcher Award.
Dr. Chen combines research depth, practical innovation, and national-level recognition, making her an outstanding candidate. Expanding her international footprint and academic leadership roles would further strengthen her global research stature.

ARIANNA Zhong | Intelligent control systems | Best Researcher Award

Published on 24/04/2025 by CAD Awards

Dr. ARIANNA PARRALES | Simulación de procesos | Best Researcher Award

University of Fribourg, Switzerland,Switzerland

Dr. Arianna Parrales Bahena is a dedicated and competent researcher in the field of chemical and energy engineering with expertise in simulation, process optimization, and neural networks. Her recognition by the SNI system and full-time role at CIICAp under CONAHCyT demonstrates strong national standing in Mexico. Her interdisciplinary approach involving AI and energy processes is promising for sustainable engineering solutions.

Publication Profile

Google Scholar

Scopus

Academic Background:

Dr. Arianna Parrales Bahena earned her Ph.D. in Engineering and Applied Sciences with a specialization in Chemical Technology from the Research Center in Engineering and Applied Sciences (CIICAp) at the Autonomous University of the State of Morelos (UAEM) between 2012 and 2016 (Professional License No. 10538006). She previously completed a Master’s degree in Engineering and Applied Sciences at the same institution (CIICAp-UAEM) from 2010 to 2012, also with a specialization in Chemical Technology (Professional License No. 09663681). Her academic path began with a Bachelor’s degree in Chemical Engineering with a specialization in Environmental Engineering from the Instituto Tecnológico de Zacatepec (2005–2009), where she obtained Professional License No. 6849961.

Professional Experience:

Since 2017, Dr. Parrales Bahena has served as a Full-Time Research Professor at the CIICAp-UAEM, under the Cátedras program of the National Council of Science and Technology (CONAHCyT). Earlier in her career, she worked as a Production Assistant at Industrias Químicas Falcón de México S.A. de C.V. in 2010 and was part of the production department at Dr. Reddy’s Laboratories in Jiutepec, Morelos.

Research Interests:

Her primary research areas include two-phase flows, energy transfer processes, design and optimization of heat exchangers, as well as the application of neural networks and process simulation in engineering.

Honors and Recognitions:

Dr. Parrales Bahena has been recognized by Mexico’s National System of Researchers (SNI), initially being appointed as a Candidate from 2018 to 2020. She was subsequently promoted to Level I, a distinction she has held for the 2021–2023 and 2024–2028 periods.

Publication :

Ajbar, W., Parrales, A., Cruz-Jacobo, U., Conde-Gutiérrez, R. A., Bassam, A., … (2021). The multivariable inverse artificial neural network combined with GA and PSO to improve the performance of solar parabolic trough collector. Applied Thermal Engineering, 189, 116651. Citations: 70

Ajbar, W., Parrales, A., Huicochea, A., Hernández, J. A. (2022). Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review. Renewable and Sustainable Energy Reviews, 156, 111947. Citations: 62

Ajbar, W., Hernández, J. A., Parrales, A., Torres, L. (2023). Thermal efficiency improvement of parabolic trough solar collector using different kinds of hybrid nanofluids. Case Studies in Thermal Engineering, 42, 102759. Citations: 42

Parrales, A., Colorado, D., Díaz-Gómez, J. A., Huicochea, A., Álvarez, A., … (2018). New void fraction equations for two-phase flow in helical heat exchangers using artificial neural networks. Applied Thermal Engineering, 130, 149–160. Citations: 36

Solís-Pérez, J. E., Hernández, J. A., Parrales, A., Gómez-Aguilar, J. F., … (2022). Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes. Neural Networks, 152, 44–56. Citations: 35

Reyes-Téllez, E. D., Parrales, A., Ramírez-Ramos, G. E., Hernández, J. A., … (2020). Analysis of transfer functions and normalizations in an ANN model that predicts the transport of energy in a parabolic trough solar collector. Desalination and Water Treatment, 200, 23–41. Citations: 30

Parrales, A., Hernández-Pérez, J. A., Flores, O., Hernandez, H., … (2019). Heat transfer coefficients analysis in a helical double-pipe evaporator: Nusselt number correlations through artificial neural networks. Entropy, 21(7), 689. Citations: 24

Sailin Zhong | Intelligent control systems | Best Researcher Award

Published on 19/04/2025 by CAD Awards

Dr. Sailin Zhong | Intelligent control systems | Best Researcher Award

University of Fribourg, Switzerland,Switzerland

Sai Lin Eicher is a rising interdisciplinary researcher with an impressive academic journey across Switzerland, Singapore, and the United States. His work in fluid human comfort, ambient intelligence, and extended reality bridges the gap between humans and intelligent environments. With top-notch institutional affiliations, funded international projects, and practical impact, his career trajectory is both innovative and globally relevant.

Publication Profile

Google Scholar

Orcid

Education 🎓:

Sai Lin Eicher earned his Ph.D. in Informatics with a specialization in Human-Computer Interaction from the University of Fribourg, Switzerland (July 2019 – December 2023). His doctoral thesis, titled “Fluid Human Comfort in Built Environments with Ambient Intelligence”, was advised by Prof. Denis Lalanne and Prof. Hamed S. Alavi, with a committee that included Prof. Adrian Friday, Prof. Andrew Vande Moere, and Prof. Marilyne Andersen. The research was partially funded by Innosuisse 30076.1 IP‑ICT in collaboration with Logitech.
During his Ph.D., he also served as a visiting Ph.D. student at the MIT Media Lab, Massachusetts Institute of Technology, USA (August 2022 – April 2023), working on AirSpecs, a novel smart eyewear system for habitat comfort interactions, under the supervision of Prof. Joseph A. Paradiso. This research was supported by the Swiss Doc.Mobility Fellowship.
Prior to that, he completed his Master of Computing with a specialization in Computer Science at the National University of Singapore (August 2017 – January 2019), with a thesis on “Effective Smartfan Deployment in NUS SDE Net-Zero Building” under Prof. Roger Zimmermann.
Sai Lin holds a Bachelor of Engineering in Information Engineering and Media from Nanyang Technological University, Singapore (August 2012 – July 2016), graduating with First Class Honours and a CGPA of 4.56/5.00. His undergraduate thesis, “Sociofeedback by Google Glass”, was supervised by Prof. Justin Dauwels.
He also spent a semester as an undergraduate exchange student at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (February – July 2014), studying Electrical and Electronic Engineering.

Work and Research Experience 💼:

Sai Lin Eicher is currently a Postdoctoral Fellow in Human-Computer Interaction at ETH Zürich (March 2024 – March 2025), where he is contributing to the 3D Sketch Map project by designing and developing a collaborative and generative AI 3D sketching game in VR and AR. He also provides technical consultancy and research guidance on user experiences for Lufthansa Group’s D‑CEET cabin digital twin training.
Previously, he served as a Work Package Lead at the Singapore-ETH Centre (November 2017 – July 2019), where he led the user interface design and development of spatial visualizations and interactive decision-support tools using Sketch and Unity 3D, aimed at enhancing data representation for policymakers.
From June to August 2015 and again from July 2016 to October 2017, he worked as a Software Engineer at IHS Markit in Singapore, supporting financial processing software (TradeSTP) and designing a centralized platform for product access and sales enhancement.
He also interned at Apple Inc., Singapore (August – December 2014) as a Business Intelligence Intern, where he optimized web applications for supply chain automation using PHP and Ruby on Rails.
As a Research Assistant at Nanyang Technological University (August 2013 – June 2014), he developed an Android application capable of separating audio signals from ambient sound using Delay-And-Sum-Beamforming.

Grants, Awards, and Fellowships 🏆:

In 2023, Sai Lin received the MIT MISTI-Switzerland Seed Grant (USD 27,100). In 2022, he was awarded the Swiss Doc.Mobility Fellowship (CHF 25,900). Earlier in his academic journey, he was recognized as a URECA President Research Scholar with Distinction in 2014. He was also the recipient of the Singapore Government Link Company SM3 Full Undergraduate Scholarship (SGD 210,000) in 2012.

Skills 💻:

Sai Lin’s expertise spans user experience research using both quantitative methods (surveys, eye-tracking, usability tests) and qualitative techniques (user interviews, diary studies), as well as mixed methods. He is proficient in user interface design tools such as Sketch, Photoshop, InVision, HTML, CSS, hardware prototyping (Raspberry Pi, Arduino), Autodesk Inventor, and Miro.
He is skilled in statistical analysis techniques including bivariate correlation, factorial analysis, clustering, and both parametric and non-parametric tests, using tools like R, STATA, and SPSS.
Sai Lin has strong programming capabilities in Python, C# (Unity3D), Swift (iOS), JavaScript (Web, React Native), R, SQL, and Java (Android). He is also experienced with AI methodologies, including supervised and unsupervised learning, neural networks, and generative AI.

Publication :

. ilo-wear: Exploring wearable interaction with indoor air quality forecast

Authors: S. Zhong, H.S. Alavi, D. Lalanne
Year: 2020
Venue: CHI Extended Abstracts (CHI EA 2020)
Citations: 26

2. The complexity of indoor air quality forecasting and the simplicity of interacting with it – A case study of 1007 office meetings

Authors: S. Zhong, D. Lalanne, H. Alavi
Year: 2021
Venue: CHI 2021
Citations: 17

3. Already it was hard to tell who’s speaking over there, and now face masks! Can binaural audio help remote participation in hybrid meetings?

Authors: L. Rosset, H. Alavi, S. Zhong, D. Lalanne
Year: 2021
Venue: CHI Extended Abstracts (CHI EA 2021)
Citations: 13

4. Reflecting on hybrid events: Learning from a year of hybrid experiences

Authors: A.A. Ansah, A.S. Vivacqua, S. Zhong, S. Boll, M. Constantinides, H. Verma, …
Year: 2023
Venue: CHI Extended Abstracts (CHI EA 2023)
Citations: 12

5. Proxy methods for detection of inhalation exposure in simulated office environments

Authors: S. Yun, S. Zhong, H.S. Alavi, A. Alahi, D. Licina
Year: 2023
Venue: Journal of Exposure Science & Environmental Epidemiology, Vol. 33(3)
Citations: 11

6. Predictive Models of Indoor CO₂ Concentration: Toward Context-Aware Occupant Support in Offices

Authors: H.S. Alavi, S. Zhong, D. Lalanne
Year: 2020
Venue: SmartPhil@IUI 2020
Citations: 11

7. A novel decision support tool for climate-responsive urban design

Authors: S. Zhong, I. Nevat, J.A. Acero, L.A. Rüfenacht, P. Jan, E. Koh
Year: 2019
Venue: Journal of Physics: Conference Series, Vol. 1343
Citations: 7

8. Airspec: A smart glasses platform, tailored for research in the built environment

Authors: P. Chwalek, S. Zhong, D. Ramsay, N. Perry, J. Paradiso
Year: 2023
Venue: ACM IJCAI Adjunct
Citations: 6

Sai Lin Eicher meets and exceeds the criteria for a Best Researcher Award in a design-tech-HCI-focused category. His work is not only innovative and interdisciplinary but also strongly backed by funding, collaborations with premier institutions, and real-world applications.