Pan Guo | Engineering | Best Researcher Award

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Dr. Pan Guo | Engineering | Best Researcher Award

Associate Professor Zhengzhou University China

Guo Pan (born August 1985) is a senior engineer specializing in structural wind resistance, structural monitoring (inspection) and prevention, and bridge and culvert design. He is currently a representative professor at Zhengzhou University Yellow River Laboratory. With extensive experience in both academia and industry, he has contributed significantly to civil engineering research and infrastructure development.

Profile

Research Gate

Education 🎓

  • Ph.D. in Civil Engineering, Zhengzhou University (2014-2019) – Supervised by Professors Wang Dongwei and Li Shengli.
  • Master’s in Civil Engineering and Transportation, South China University of Technology (2007-2010) – Supervised by Professor Huang Peiyan.
  • Bachelor’s in Civil Engineering, Zhengzhou University (2003-2007).

Experience đź’Ľ

  • 2022/12 – Present: Representative Professor, Zhengzhou University Yellow River Laboratory.
  • 2019/11 – 2022/11: Postdoctoral Fellow, School of Water Conservancy and Civil Engineering, Zhengzhou University.
  • 2010/07 – 2019/10: Designer, Henan Transportation Planning and Design Institute Co., Ltd.

Research Interests 🔬

  • Structural wind resistance.
  • Structural monitoring, inspection, and prevention.
  • Bridge and culvert design.
  • Ice formation mechanisms on suspension bridges.
  • Aerodynamic interference effects on bridge structures.

Awards & Honors 🏆

  • 2021 Henan Province Science and Technology Progress Award (Second Prize) – Ranked 2nd for research on galloping vibration control and ice-coated sling pneumatic energy capture power generation in suspension bridge construction.

Publications Top Notes: đź“š

Characteristic analysis of acoustic emission monitoring parameters for crack propagation in UHPC-NC composite beam under bending test– Construction and Building Materials, 2021.

Effects of aerodynamic interference on the iced straddling hangers of suspension bridges by wind tunnel tests – Journal of Wind Engineering and Industrial Aerodynamics, 2019.

Effect of end plates on transiting test for measuring the aerodynamic coefficient of structures using wind generated by a moving vehicle – Journal of Wind Engineering and Industrial Aerodynamics, 2019.

Fatigue Characteristics of Prestressed Concrete Beam under Freezing and Thawing Cycles– Advances in Civil Engineering, 2020.

Analysis of wind attack angle increments in wind tunnel tests for the aerodynamic coefficients of iced hangers – Advances in Structural Engineering, 2020.

Ductility and cracking behavior of UHPC-RC composite beam under bending test based on acoustic emission parameters

Energy harvesting from low-frequency vibrations of hanger using PVDF: An experimental study and performance analysis

Damage Identification of Hinge Joint in Hollow Slab Bridge Based on Model Updating and Orthogonal Matching Pursuit Algorithm

A FBG pull-wire vertical displacement sensor for health monitoring of medium-small span bridges

Damage evaluation of UHPC-GFRP hybrid beams based on acoustic emission technology under bending experiment

Soroush Zare | Engineering | Best Researcher Award

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Dr. Soroush Zare | Engineering | Best Researcher Award

Greadaute Research Assistant University of Virginia United States

đź“š Soroush Zare is a dedicated Ph.D. Candidate in Mechanical and Aerospace Engineering at the University of Virginia. With expertise in robotics, soft exoskeletons, and Brain-Computer Interface (BCI) technologies, he specializes in designing advanced systems for rehabilitation and assistive applications. His research integrates AI-driven controls with cutting-edge mechanical design.

Profile

Google Scholar

Education

🎓 University of Virginia (2023–Present)

  • Ph.D. in Mechanical and Aerospace Engineering (GPA: 4.0/4.0)
  • Focus: EEG-based motor imagery for wearable textile robotics under an NSF-funded project.

🎓 University of Tehran (2018–2021)

  • M.S. in Mechanical Engineering (GPA: 3.9/4.0)
  • Thesis: Deep Reinforcement Learning Control of Suspended Cable-Driven Robots.

🎓 Shiraz University (2014–2018)

  • B.S. in Mechanical Engineering (GPA: 3.6/4.0)
  • Thesis: Modeling and analysis of bladeless wind turbines.

Experience

💼 Research Assistant, University of Virginia (2023–Present)

  • Developed wearable soft rehabilitation exoskeletons integrating EEG technologies.
  • Innovated reinforcement learning frameworks for intuitive robotic control.

💼 Research Assistant, York University (2022–2023)

  • Led projects on robotic grasping using deep reinforcement learning.

💼 Research Assistant, University of Tehran (2018–2022)

  • Advanced control techniques for Cable-Driven Parallel Robots (CDPRs).

Research Interests

🔬 Robotics, soft exoskeletons, Brain-Computer Interface (BCI) technologies, deep reinforcement learning, EEG-based motor imagery classification, and AI-driven assistive technologies.

Awards

🏆 Honors & Achievements

  • NSF Student Travel Award, IEEE/ACM CHASE (2024)
  • GRADESTAR Fellowship (2023, 2024)
  • Chairperson’s Fellowship (2023)
  • Ranked 2nd among solid design students at Shiraz University.

Publications Top Notes: 

đź“„ Recent Publications

NeuroMotion: EEG-Based Motor Imagery Control of Wearable Exoskeleton (In preparation).

Kinematic analysis of an under-constrained cable-driven robot using neural networks

Wearable upper limb robotics for pervasive health: A review

Experimental study on the control of a suspended cable-driven parallel robot for object tracking purpose

Reconstructing 3-D Graphical Model Using an Under-Constrained Cable-Driven Parallel Robot

Understanding Human Motion Intention from Motor Imagery Eeg Based on Convolutional Neural Network

A Low-Cost Wearable Exoskeleton for Sitting and Standing Assistance

EEG Motor Imagery Classification using Integrated Transformer-CNN for Assistive Technology Control

MIMO Dynamic Control of a Suspended Underactuated Cable Robot Using Genetic Algorithm