ARIANNA Zhong | Intelligent control systems | Best Researcher Award

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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
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

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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

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.

 

Ahmed Abdelrahman |3D printing | Young Scientist Award

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Mr.Ahmed Abdelrahman |3D printing | Young Scientist Award

Mr, Ahmed Abdelrahman,University of Alberta, Canada.

Ahmed Abdelrahman is a distinguished researcher and academic currently affiliated with the University of Alberta, Canada. His expertise lies in cutting-edge fields such as material science and engineering, where he has made significant contributions to research and innovation. Ahmed is known for his work on advanced materials, sustainability, and renewable energy technologies. With a strong academic background and numerous publications in high-impact journals, he is actively involved in shaping the future of engineering and technology through both teaching and research.

Summary:

Ahmed Abdelrahman possesses an impressive combination of academic achievements, research experience, and practical skills that align well with the expectations for the Research for Young Scientist Award. His work in additive manufacturing, mechanical design, and production engineering demonstrates a forward-thinking approach to mechanical engineering problems, which is further supported by his competitive accolades. His teaching and assistant lecturer roles also highlight his leadership in academia.

 

Professional Profiles:

Google Scholar

🎓 Education :

Ahmed Moustafa Abdelnabi holds an M.Sc. in Mechanical Engineering from the Faculty of Engineering, Minia University, Egypt, completed in March 2022. His thesis focused on the “Durability Investigation of Spur Gears Fabricated Using 3D Printing,” and the research was partially funded by Minia University. He also earned a B.Sc. in Mechanical Engineering (Production Engineering and Mechanical Design) from the same institution in 2019, graduating with honors (91.12%) and ranking first among the 2019 cohort. His graduation project, “Design and Manufacturing Multi-Purpose Fixture for Shear and Bending Tests,” received an excellent evaluation and is currently patent pending. This project was fully funded by The Academy of Scientific Research & Technology (ASRT).

🏢 Experience:

Ahmed has been serving as an Assistant Lecturer in the Production Engineering and Mechanical Design Department at Minia University since May 2022. From 2019 to 2022, he worked as a Demonstrator (Teaching Assistant) in the same department, where he provided academic support and contributed to the education of students in various courses.

🛠️Skills:

Ahmed has developed a wide range of technical skills, including:,Computer-Aided Design (CAD) and Engineering: Proficient in AutoCAD Mechanical 2D, SolidWorks, ANSYS, and ABAQUS, as well as optical imaging tools.,Computer-Aided Manufacturing (CAM): Expertise in software such as Ultimaker Cura, CNC Siemens Simulation, PRUSA Slicer, and CHITUBOX.,Computer Graphics: Skilled in Photoshop and Illustrator.,Testing: Extensive experience in mechanical testing, including using UTM, hardness tests, optical microscopy, and tribology tests (pin-on-disc, reciprocation).,Software Proficiency: Proficient in OriginPro, Easy Plot, Excel, PowerPoint, Microsoft Word, and SPSS. Familiar with Arduino UNO and has beginner-level knowledge in Python and C programming.

Research Focus :

Ahmed’s research interests primarily lie in mechanical design, production engineering, and the application of additive manufacturing techniques. He has also explored topics in material durability and mechanical testing, particularly related to spur gears and multi-purpose fixtures.

🔬Awards:

Ahmed has received several accolades during his academic career:,2nd Place in the Innovation Day Competition at Minia University (May 2023) for his work in additive manufacturing applications.,1st Place in the Scientific Research Competition at Minia University (2017-2018).,1st Place in the Environmental Research Competition held by the Scientific Club of Minia University (2017-2018).

Conclusion:

Mr. Ahmed Abdelrahman is a strong candidate for the Research for Young Scientist Award. His innovative work on 3D printing and mechanical design, combined with his impressive academic record and teaching experience, makes him well-suited for recognition. If he can further expand his international research collaborations and publications, he will solidify his standing as a distinguished young scientist.

Publications :

    1. Cooling and lubrication techniques in grinding: A state-of-the-art review, applications, and sustainability assessment
      • Authors: AMM Ibrahim, LI Wei, AHI Mourad, AE Mohamed, AM Abd El-Naby, etc.
      • Journal: Chinese Journal of Aeronautics
      • Year: 2023
      • Citations: 19

     

    1. Tension and bending behaviors of 3D printed PLA+ at different printing parameters
      • Authors: AMAE Nabi, MM Mahmoud, WW Marzouk, HA Omran, A ElSheikh, etc.
      • Journal: Journal of Micromechanics and Molecular Physics
      • Year: 2023
      • Citations: 2

     

    1. Triboelectrification of the diapers
      • Authors: OM Suzan, A Mostafa, M Salem, WY Ali
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2017
      • Citations: 2

     

    1. Compressive and bending properties of 3D-printed wood/PLA composites with re-entrant honeycomb core
      • Authors: RF Faidallah, AM Abd-El Nabi, MM Hanon, Z Szakál, I Oldal
      • Journal: Results in Engineering
      • Year: 2024
      • Citations: Not yet available

     

    1. Nanofluids for machining in the era of Industry 4.0
      • Authors: W Li, AMM Ibrahim, Y Ren, AM Abd-El Nabi
      • Journal: Advances in Sustainable Machining and Manufacturing Processes
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of infill pattern and raster angle of the 3D printer on the mechanical properties of PLA+
      • Authors: WWM Ahmed Moustafa Abd-El Nabi, Ahmed Mohamed Mahmoud Ibrahim, Moustafa M, etc.
      • Journal: Minia International Conference on Environment and Engineering
      • Year: 2022
      • Citations: Not listed

     

    1. Effect of the bed and printing temperatures in the mechanical properties of 3D printing additive manufacturing (FDM) using PLA+ material
      • Authors: AMMI Ahmed Moustafa Abd-El Naby, Moustafa Mahmoud, Wagih Marzouk
      • Journal: 3rd International Conference on Engineering Science and Technology
      • Year: 2021
      • Citations: Not listed

     

    1. Tribological behavior assessment of 3D printed PLA+ samples impregnated with liquid anaerobic methacrylate lubricant
      • Authors: MMMWW Mostafa A., Khalifa A.
      • Journal: Journal of the Egyptian Society of Tribology
      • Year: 2021
      • Citations: Not listed

     

    4o

Zhongtao Fu |Robotics | Best Researcher Award

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Assoc Prof Dr.Zhongtao Fu |Robotics | Best Researcher Award

Assoc Prof Dr, Zhongtao Fu,Wuhan Institute of Technology, China.

Assoc. Prof. Dr. Zhongtao Fu is an Associate Professor at the Wuhan Institute of Technology, China. His research focuses on material science and engineering, with a strong emphasis on advanced manufacturing technologies, materials processing, and mechanical properties. Dr. Fu has published numerous papers in leading international journals, contributing significantly to the development of innovative materials and technologies. He is recognized for his work in promoting cutting-edge research and collaboration in the field of materials science, both domestically and internationally. Dr. Fu also plays a key role in mentoring students and fostering academic growth.

Summary:

Dr. Zhongtao Fu is a highly accomplished researcher specializing in robotics, with notable achievements in both academic research and industrial applications. His expertise in robot control systems, human-robot interaction, and multi-modal perception, combined with his successful project funding and global collaboration, make him a strong contender for the Research for Best Researcher Award. His contributions to robotics, particularly in manufacturing and healthcare, align with global technological advancements

Professional Profiles:

Scopus

🎓 Education :

Dr. Zhongtao Fu earned his Ph.D. in Mechanical Engineering from Huazhong University of Science and Technology, China, in March 2016. He also holds a Bachelor of Science degree in Mechanical Engineering from Henan University of Science and Technology, completed in July 2010. His academic foundation in mechanical engineering laid the groundwork for his future research in robotics, control systems, and advanced manufacturing techniques.

🏢 Experience:

Since June 2016, Dr. Fu has served as an Associate Professor at the Wuhan Institute of Technology in China. He also worked as a Senior Engineer at Wuhan Cobot Technology Ltd. from June 2016 to December 2018, where he contributed to the development of robotics systems. Between December 2018 and December 2020, he expanded his research through international collaboration as a Visiting Research Fellow at the Core of King’s College London, UK. His research has focused on advancing robotic systems in both theoretical and practical applications, particularly in manufacturing and healthcare.

🛠️Skills:

Dr. Fu possesses extensive expertise in robot manipulation and control, particularly in human-robot interaction, robotic hands, signal processing, and optimal control strategies. He is proficient in several programming languages, including C++, MATLAB, and Python. In addition to his programming skills, he has hands-on experience with a variety of industrial robots, such as KUKA LWR, iiwa, Yaskawa, UR, Barrett Hand, Sawyer, and Denso. His knowledge also extends to key robotics software such as ROS, OpenRAVE, and RoboDK. Furthermore, he has taught courses in Robotics, Matrix Manifold, Optimal Control, Lie Algebra, and Model Predictive Control.

Research Focus :

Dr. Fu’s primary research interests lie in the theory and applications of robotics, particularly in the fields of manufacturing and healthcare. His work encompasses robot kinematics and dynamics, robot-robot and human-robot collaboration, as well as multi-modal perception. He is driven by the goal of discovering connections between advanced algorithms and the resulting product quality. By optimizing control systems, he seeks to enable robots to perform tasks with a high degree of flexibility and precision, making them more efficient in complex environments.

🔬Awards:

Dr. Fu’s achievements in robotics were recognized when his team, Dorabot & Cobot, secured second place in the prestigious IROS Competition on Grasping and Manipulation in 2016. This accolade highlights his commitment to advancing robotic systems and his ability to collaborate effectively in competitive research environments.

Conclusion:

Dr. Zhongtao Fu’s work in robotics showcases his strength in both theoretical advancements and practical implementations, making him a strong candidate for the award. Enhancing his publication record and expanding his leadership roles in international research collaborations would further cement his status as an elite researcher. Overall, his well-rounded academic, industrial, and international experience positions him well for recognition as the Best Researcher.

Publications :

  • Joint torque prediction of industrial robots based on PSO-LSTM deep learning
    • Authors: Xiao, W., Fu, Z., Wang, S., Chen, X.
    • Journal: Industrial Robot
    • Year: 2024
    • Volume/Issue: 51(3)
    • Pages: 501–510
    • Citations: 1

 

  • IHUVS: Infinite Homography-Based Uncalibrated Methodology for Robotic Visual Servoing
    • Authors: Lei, X., Fu, Z., Spyrakos-Papastavridis, E., Li, M., Chen, X.
    • Journal: IEEE Transactions on Industrial Electronics
    • Year: 2024
    • Volume/Issue: 71(4)
    • Pages: 3822–3831
    • Citations: 1

 

  • FEUSNet: Fourier Embedded U-Shaped Network for Image Denoising
    • Authors: Li, X., Han, J., Yuan, Q., Zou, M., Huang, Z.
    • Journal: Entropy
    • Year: 2023
    • Volume/Issue: 25(10)
    • Article Number: 1418
    • Citations: 2

 

  • Auto-identification of dominant modal parameters from multi-batch signals based on weighted SSA to suppress milling vibration
    • Authors: Peng, Y., Chen, X., Jiang, X., Huang, K., Fu, Z.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 128(9-10)
    • Pages: 4077–4090
    • Citations: 0

 

  • Toward Simultaneous Coordinate Calibrations of AX=YB Problem by the LMI-SDP Optimization
    • Authors: Pan, J., Fu, Z., Yue, H., Li, M., Chen, X.
    • Journal: IEEE Transactions on Automation Science and Engineering
    • Year: 2023
    • Volume/Issue: 20(4)
    • Pages: 2445–2453
    • Citations: 9

 

  • Dynamic modeling and analysis on lateral vibration of ball screw feed system
    • Authors: Gao, X., Zhang, X., Yang, J., Wang, M., Zan, T.
    • Journal: International Journal of Advanced Manufacturing Technology
    • Year: 2023
    • Volume/Issue: 124(11-12)
    • Pages: 4211–4229
    • Citations: 6

 

  • Towards Accurate Solution of Robot Hand-eye Relationship Based on the LMI-SDP Optimization | 基于 LMI-SDP 优化的机器人手眼关系精确求解
    • Authors: Fu, Z., Rao, S., Pan, J., Huang, T., Chen, X.
    • Journal: Jixie Gongcheng Xuebao/Journal of Mechanical Engineering
    • Year: 2023
    • Volume/Issue: 59(17)
    • Pages: 109–115
    • Citations: 0

 

  • A Novel Tactile Palm for Robotic Object Manipulation
    • Authors: Zhao, F., Huang, B., Li, M., Lei, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14271 LNAI
    • Pages: 81–92
    • Citations: 0

 

  • Fast Calibration for Ultrasound Imaging Guidance Based on Depth Camera
    • Authors: Zhao, F., Li, M., Fu, Z., Li, M.
    • Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Computer Aided Design In Mechanical Engineering and Lecture Notes in Bioinformatics)
    • Year: 2023
    • Volume: 14269 LNAI
    • Pages: 68–79
    • Citations: 0

 

  • Homography matrix based trajectory planning method for robot uncalibrated visual servoing
    • Authors: Fu, Z., Lei, X., Chen, X., Li, M., Huang, T.
    • Conference: 2023 IEEE International Conference on Real-Time Computing and Robotics (RCAR)
    • Year: 2023
    • Pages: 32–37
    • Citations: 0