Prof. Dezhi Zheng | Sensitive Mechanism Awards | Best Researcher Award

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Prof. Dezhi Zheng | Sensitive Mechanism Awards | Best Researcher Award

Prof. Dezhi Zheng, Beijing Institute of technology, China

Professor Dezhi Zheng is a prominent researcher and doctoral supervisor at the Advanced Research Institute of Multidisciplinary Sciences at Beijing Institute of Technology. With a robust academic background, he earned both his Ph.D. and B.S. degrees in Precision Instruments and Machinery and Mechanical Engineering and Automation from Beihang University. Since 2020, he has been a professor at Beijing Institute of Technology, and prior to this role, he served as a visiting scholar in the Mechanical Engineering Department at the University of Victoria and held various academic positions at Beihang University. Professor Zheng’s research interests focus on collaborative awareness technology, airborne information detection, extreme signal measurement technology, and sensor sensitivity mechanisms. His groundbreaking work in accurate perception technology has led to significant advancements in resonant sensors, ultra-low frequency vibration sensors, and wearable sensing devices for human bioelectrical signals, notably improving measurement accuracy and practical applications in fields like aviation and smart technology. With over 30 national key scientific research projects and more than 70 academic publications to his name, along with over 30 authorized invention patents, Professor Zheng is recognized as a leader in the field of sensors and sensing technology.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dezhi Zheng

Dezhi Zheng is an accomplished researcher and educator with a distinguished record in the fields of sensing technology and precision instrumentation, making him an excellent candidate for the Best Researcher Award. His extensive academic background and impactful contributions in both research and technology application underscore his qualifications.

Education šŸŽ“

  • Ph.D. in Precision Instruments and Machinery
    Beihang University, 2000-2006
  • B.S. in Mechanical Engineering and Automation
    Beihang University, 1996-2000

Work Experience šŸ¢

  • Professor
    Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology (2020 – Present)
  • Visiting Scholar
    Mechanical Engineering, University of Victoria (2014 – 2015)
  • Researcher
    Research Institute for Frontier Science, Beihang University (2006 – 2020)
  • Associate Professor
    School of Instrumentation and Optoelectronic Engineering, Beihang University (2006 – 2020)
  • Lecturer
    School of Instrumentation and Optoelectronic Engineering, Beihang University (2006 – 2006)

Achievements šŸ†

  • Conducted research on resonant sensors, improving measurement accuracy of aircraft flight height by nearly an order of magnitude. āœˆļø
  • Developed ultra-low frequency vibration sensors and calibration technology, achieving accurate calibration of 0.01Hz sensors. šŸ“
  • Researched wearable sensing devices and intelligent sensing technology for weak human bioelectrical signals, leading to practical applications in wearable brain-computer interfaces. šŸ§ 
  • Participated in over 30 major national key scientific research projects. šŸ”¬
  • Published more than 70 academic papers. šŸ“š
  • Authorized more than 30 invention patents. šŸ’”

Awards and Honors šŸ„‡

  • Recognized for contributions to the development of resonant sensors and smart helmets, addressing key challenges in sensor technology. šŸ› ļø
  • Achievements in the field of collaborative awareness technology and extreme signal measurement technology. šŸŒŸ

PublicationĀ Top Notes:

Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

Integrated Sensing and Communication With mmWave Massive MIMO: A Compressed Sampling Perspective

Joint Activity Detection and Channel Estimation for Massive IoT Access Based on Millimeter-Wave/Terahertz Multi-Panel Massive MIMO

Next-Generation Massive URLLC with Massive MIMO: A Unified Semi-Blind Detection Framework for Sourced and Unsourced Random Access

Robust phase unwrapping via non-local regularization

Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

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Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

Dr. Marzena Miesikowska, Kielce University of Technology, PolandĀ 

Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology in Poland. She holds a PhD in Automation and Robotics and a Masterā€™s degree in Computer Science, both from Kielce University of Technology. Her research interests encompass automation, robotics, information systems, and the analysis of acoustic and speech signals, particularly for drone applications and patient rehabilitation. She has completed a National Science Centre project and participated in the ā€œFuture Technologies for Defenseā€ project by the National Centre for Research and Development. Mięsikowska has published multiple books and book chapters and holds a patent for a voice quality assessment method. She is also involved in editorial work and various academic collaborations.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Marzena Mięsikowska

Dr. Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology with a robust background in automation and robotics, information systems, and acoustic signal analysis. Her diverse expertise spans drone acoustic signal analysis, speech signal processing, and metrology.

Education:

  • Ph.D. in Automation and Robotics
    Kielce University of Technology, Kielce, Poland
  • Master of Computer Science
    Kielce University of Technology, Kielce, Poland

Work Experience:

  • Assistant Professor
    Kielce University of Technology, Kielce, Poland
    Current Position
  • Metrologist
    Central Office of Measures, Warsaw, Poland
    Past Position

Publication top Notes:

Analysis of Polish Vowels of Tracheoesophageal Speakers

Discriminant analysis of voice commands in a car cabin | Analiza dyskryminacyjna komend głosowych w kabinie pojazdu

Analysis of Sound Levels and Speech Intelligibility in the Presence of X4 Unmanned Aerial Vehicle in External Environmental Conditions

Discriminant analysis of voice commands in the presence of an unmanned aerial vehicle

Speech intelligibility in the presence of X4 unmanned aerial vehicle

Dr. Jean Triboulet | Subsea Vision | Best Researcher Award

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Dr. Jean Triboulet | Subsea Vision | Best Researcher AwardĀ 

Dr. Jean Triboulet, LIRMM, France

Jean Triboulet is a distinguished researcher and academic specializing in robotics and computer vision, with a particular focus on medical and underwater robotics. He holds a Doctorate in Engineering Sciences from the University of Ɖvry Val d’Essonne, where he developed a multisensor system for environment modeling applied to teleoperation under the supervision of Prof. F. Chavand. Since 2003, Jean has been integrated into the Research Department of Robotics at LIRMM UMR 5506. His extensive academic journey includes a DEA in Robotics from Paris VI, a Master’s in EEA with an option in Automation from Paris XI, and a Bachelor’s in Electronics, Electrotechnics, and Automation from Paris XI.

Professional Profile:

Summary of Suitability for Best Researcher Award

Jean Triboulet is a seasoned researcher with extensive contributions to the fields of computer vision, medical robotics, and underwater robotics. His robust educational background, significant scientific contributions, leadership in research projects, and active participation in academic communities position him as a strong candidate for the Best Researcher Award.

Education

  • 2019: Habilitation to Supervise Research: “Elements of Vision for Robotics”
    • Institut National Polytechnique de Toulouse
    • Jury: S. Lelandais (pres.), S. Lacroix (ref. + rap.), P. Drap (rap.), P. Grussenmeyer (rap.), P. Montesinos (exa.), B. Jouvencel (exa.)
  • 1996: Doctorate in Engineering Sciences: “Characterization of a Multisensor System for Environment Modeling. Application to Teleoperation”
    • University of Ɖvry Val d’Essonne
    • Supervisor: Prof. F. Chavand
    • Monitor then 1/2 ATER
  • 1991: DEA in Robotics, option Intervention and Service Robotics
    • Paris VI
  • 1990: Master’s in EEA, Option Automation
    • Paris XI
    • Certificate in Optics (ESO: Orsay)
  • 1989: Bachelor’s in Electronics, Electrotechnics, and Automation
    • Paris XI
  • 1988: DEUG A
    • Paris XI

Positions

  • 2003: Integrated into the Research Department of Robotics at LIRMM UMR 5506
  • 2002: MCF 1021 Position at CUFR of NĆ®mes: 61st Section + welcomed at CEM2 UMR 5507
  • 1996: MCF 0375 Position at IUFM of Versailles: 61st Section + welcomed at LSC Evry
  • 1992: National Service: Section Chief in Instruction Company at the rank of Aspirant

Publication top Notes:

A Novel 3D Reconstruction Sensor Using a Diving Lamp and a Camera for Underwater Cave Exploration

Sensor-Based Behavior Analysis and Modeling for the Honeybee Superorganism: A Platform

Acute effects of graduated and progressive compression stockings on leg vein cross-sectional area and viscoelasticity in patients with chronic venous disease

An original 3D reconstruction method using a conical light and a camera in underwater caves

Noninvasive measurement of venous wall deformation induced by changes in transmural pressure shows altered viscoelasticity in patients with chronic venous disease

Contour-based approach for 3D mapping of underwater galleries

 

Ms. Yi-Tian Hong | Robot Localization | Best Researcher Award

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Ms. Yi-Tian Hong | Robot Localization | Best Researcher Award

Ms. Yi-Tian Hong, National Taiwan University / Department of Mechanical Engineering,Taiwan

Yi-Tian Hong was born in Penghu, Taiwan, in 2000. She embarked on her academic journey by earning a B.E. degree in the Department of Mechanical Engineering from National Taiwan University (NTU), Taiwan, in 2023. During her undergraduate studies, she laid a solid foundation in mechanical engineering, preparing herself for advanced research and professional endeavors.Currently, Yi-Tian Hong is pursuing an M.S. degree in the Department of Mechanical Engineering at NTU, Taiwan. Her focus is on conducting research in the Robotics Laboratory, where she specializes in fusion SLAM (Simultaneous Localization and Mapping) techniques designed for both indoor and outdoor environments. This research area involves advanced technologies aimed at enhancing the navigation and mapping capabilities of robotic systems in dynamic and varied settings.In 2023, Yi-Tian Hong achieved significant recognition for her scholarly contributions by receiving the Best Paper Award at The International Automatic Control Conference (CACS). This accolade underscores her dedication to academic excellence and her innovative contributions to the field of robotics and control systems.

Professional Profile

Education:

  • Bachelor’s Degree (B.E.) in Mechanical Engineering
    • Institution: National Taiwan University, Taiwan
    • Year: 2023
  • Master’s Degree (M.S.) in Mechanical Engineering
    • Institution: National Taiwan University, Taiwan
    • Currently pursuing

Work Experience:

Yi-Tian Hong’s professional experience is focused on research and development in the field of robotics, particularly in the area of Simultaneous Localization and Mapping (SLAM). Here are the highlights:

  • Research Assistant
    • Institution: Robotics Laboratory, National Taiwan University
    • Research Focus: Fusion SLAM for both indoor and outdoor environments

Achievements:

In 2023, Yi-Tian Hong was recognized for her academic excellence:

  • Best Paper Award
    • Event: The International Automatic Control Conference (CACS)

Yi-Tian Hong’s career trajectory demonstrates a strong commitment to advancing knowledge and innovation in robotics, particularly in enhancing SLAM technologies for various application scenarios.

Publications Notes:šŸ“„

Comprehensive Performance Evaluation between Visual SLAM and LiDAR SLAM for Mobile Robots: Theories and Experiments

Implementation of Engagement Detection for Humanā€“Robot Interaction in Complex Environments

 

 

 

 

 

 

 

 

Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

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Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

Dr. Yasir AlKubaisi ,Dubai Academic Health Corporation, United Arab Emirates

Dr. Yassir Mahmood Al Kubaisi is an accomplished Electrical Engineer, born in Baghdad, Iraq, in 1971. He holds a Ph.D. in Electrical Engineering from Universiti Putra Malaysia (UPM), which he obtained in 2020. His dissertation focused on a “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.” Dr. Al Kubaisi also earned his Master’s degree in Computer Engineering from the University of Technology in Baghdad in 2005 and his Bachelor’s degree in Electrical and Computer Engineering from the same institution in 1994.Dr. Al Kubaisi has extensive professional experience, currently serving as a Sustainable Engineer in the Corporate Environmental Health & Safety Department at Dubai Academic Health Corporation since 2017. His work involves studying and analyzing sustainable management practices, proposing solutions, and ensuring compliance with LEED and other sustainability requirements. He has spearheaded innovative projects such as the world’s first sustainable blood donation bus, the “Green Pavilion” project at GITEX 2019, and the “Green House” project at Al-Mizhar Medical Center, among others. His efforts have led to significant energy savings and have been recognized with several awards and honors.

 

Professional Profile

Education:

  • šŸŽ“ PhD: University Putra Malaysia (UPM) – Serdang, Malaysia, Faculty of Engineering, Electrical Engineering, May 2020
    Dissertation: ā€œGravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Buildingā€
    Committee: Professor Dr. Wan Zuha Wan Hasan (Chair), Professor Dr. Mohd. Zainal Abdul Kadir, Associate Professor Dr. Samsul Bahari B Mohd Noor
  • šŸŽ“ MSc: University of Technology ā€“ Baghdad, Iraq, Computer Engineering, May 2005
    Thesis: ā€œDesign and Implementation Of Security Systemā€
    Advisor: Professor Dr. Adukareem Abdulrahman
  • šŸŽ“ BSc: University of Technology ā€“ Baghdad, Iraq, Electrical and Computer Engineering, Jun 1994

Research Interests:

  • šŸŒæ Sustainable and Renewable Energy
  • āš” Electrical and Control Engineering
  • šŸ¤– Robotics and Automation

Professional Experience:

  • šŸŒ Corporate Environmental Health & Safety Dept., Dubai Academic Health Corporation, Dubai (2017 – Present):
    • Sustainable engineer in sustainable management section
    • Proposed and implemented innovative projects, such as the “Sustainable Blood Donation bus” and “Green Pavilion” at GITEX 2019
    • Conducted extensive studies and participated in various energy-saving projects
  • šŸ„ Engineering Dept., Dubai Health Authority, Dubai (2009 – 2017):
    • Certified lecturer in sustainability and AI workshops
    • Directed construction operations, site supervision, and quality control
    • Conducted significant studies on load distribution and energy savings
  • šŸ’» Engineering Dept., Higher Education Computer Center, Iraq (1994 – 2007):
    • Oversaw design and implementation of technical solutions
    • Managed instructional designers and collaborated on broad solution pitches

Honors and Awards:

  • šŸ† Certification of Appreciation in various fields (2020, 2019, 2017, 2014)
  • šŸŒ± ā€œLetā€™s Make This Summer Green 2020ā€
  • šŸ’‰ Improved blood donation service – Dubai Blood Donation Center 2019
  • šŸ‘ Recognized for contributions to Corporate Environmental Health & Safety Dept. 2019
  • šŸ… Honored for efforts and cooperation in multiple departments

Corporate Social Responsibility:

  • šŸ¦  Volunteered for 6 months in the Covid-19 screening campaign
  • šŸ’” Suggested projects to reduce the spread of the virus

Publications Notes:šŸ“„

Maximizing solar energy utilization and controlling electrical consumption in domestic water heaters by integrating with aluminum reflector

Identifying the best forearm muscle to control soft robotic glove system by using a single sEMG channel

Battery Backup Power System for Electrical Appliances with Two Options of Primary Power Sources

Review of gravitational electric energy and application perspectives on modern buildings

Control mechanism of automated dropper system for electric power generation

Investigation on self energized automated multi levels car parking system