Dr. MUHAMMAD MOMAN SHAHZAD | nautical | Best Researcher Award

Dr. MUHAMMAD MOMAN SHAHZAD | nautical | Best Researcher Award

Dr. MUHAMMAD MOMAN SHAHZAD, National University of Sciences & Technology (NUST), Pakistan

Muhammad Moman Shahzad is a dedicated researcher in civil engineering specializing in structural dynamics and earthquake-resistant structures. Currently, he serves as an Assistant Professor at the National University of Sciences and Technology (NUST) in Pakistan, where he leverages digital advancements to enhance student understanding. With a robust academic background that includes a Ph.D. from Northwestern Polytechnical University, China, he has gained recognition for his research on mega-subcontrolled structural systems (MSCSS) and their application in seismic contexts. His commitment to mentorship, research, and education positions him as a significant contributor to the field of civil engineering.

Professional Profile

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Summary of Suitability for the Award

Muhammad Moman Shahzad Based on the comprehensive background and accomplishments of Muhammad Moman Shahzad, he appears to be a highly suitable candidate for the Best Researcher Award. Below is a detailed summary of his qualifications and a concluding statement regarding his suitability for this award.

🎓 Education

Muhammad Moman Shahzad completed his Ph.D. in Solid Mechanics at Northwestern Polytechnical University, China, where his dissertation focused on the dynamic optimization design of mega-subcontrolled structural systems under seismic action. Prior to this, he earned a Master of Engineering in Structural Engineering from The University of Melbourne, Australia, specializing in structural dynamics and extreme loading of structures. His undergraduate studies in Civil Engineering were completed at the National University of Sciences and Technology (NUST) in Pakistan, where he demonstrated practical applications in his final year project on liquefaction mitigation. His educational journey reflects a strong foundation in both theoretical knowledge and practical engineering skills.

💼 Experience

Shahzad began his professional career as a Junior Structural Engineer at National Development Consultants, where he supervised critical project components and collaborated with contractors to ensure quality. He transitioned to academia as a Lecturer at the University of Management and Technology, teaching essential civil engineering courses. Currently, as an Assistant Professor at NUST, he instructs courses in steel structures, mechanics of solids, and advanced structural mechanics. Additionally, he serves as the Outcome-Based Education (OBE) coordinator and is actively involved in mentoring students through research projects. His diverse experience in both industry and academia equips him to contribute significantly to civil engineering education and research.

 🏅Awards and Honors

Muhammad Moman Shahzad has been honored with the prestigious Chinese Government Scholarship during his Ph.D. studies, recognizing his outstanding academic achievements. His research has garnered a significant number of citations, underscoring his influence in the field of civil engineering. He has also received accolades for his innovative research projects, particularly those focused on seismic resilience in structural design. His commitment to academic excellence and research has positioned him as a respected figure among peers and students alike, furthering the advancement of knowledge in earthquake engineering.

 🌍 Research Focus

Shahzad’s research primarily revolves around structural dynamics and the development of earthquake-resistant structures. His work on mega-subcontrolled structural systems (MSCSS) explores innovative techniques for controlling vibrations and enhancing structural resilience against seismic forces. He aims to address critical challenges in the design of tall buildings and their performance under dynamic loads. Through comprehensive parametric analyses and optimization designs, he seeks to contribute to the field of civil engineering by developing methodologies that improve structural integrity and safety in earthquake-prone areas.

  📖 Publication Top Notes

  • Quantifying the influence of modeling uncertainties on performance evaluation of mega column-core tube-outrigger structure under near-field and far-field ground motions
    • Citation Count: 7 (as of October 2024)
  • Identification of Structural Damage and Damping Performance of a Mega-Subcontrolled Structural System (MSCSS) Subjected to Seismic Action
    • Citation Count: 5 (as of October 2024)
  • Failure Mode and Optimization for MSCSS with LRBs Based on IDA Method
    • Citation Count: 3 (as of October 2024)
  • Plastic Deformation Analysis of a New Mega-Subcontrolled Structural System (MSCSS) Subjected to Seismic Excitation
    • Citation Count: 6 (as of October 2024)
  • Seismic Fragility Analysis of Mega-Frame with Vibration Control Substructure Based on Dual Surrogate Model and Active Learning
    • Citation Count: 8 (as of October 2024)

 

Prof Dr. Chung-Ru Ho | Marine Sensor Award | Best Researcher Award

Prof Dr. Chung-Ru Ho | Marine Sensor Award | Best Researcher Award 

Prof Dr. Chung-Ru Ho, National Taiwan Ocean University, Taiwan

Dr. Chung-Ru Ho is a Distinguished Professor at National Taiwan Ocean University, specializing in physical oceanography and ocean remote sensing. He earned his Ph.D. in Applied Ocean Science from the University of Delaware, USA, and has since established a prominent career in oceanography. Dr. Ho’s research focuses on ocean circulation, air-sea interaction, and climate change, with a particular emphasis on satellite observations and statistical analyses of oceanic phenomena. He has published over 100 journal articles and several book chapters, contributing significantly to the understanding of ocean temperature variations, upwelling dynamics, and the impacts of major weather events on marine environments.

Professional Profile:

Summary of Suitability

Chung-Ru Ho’s research spans physical oceanography, ocean remote sensing, ocean circulation, air-sea interaction, and climate change. His work is crucial in understanding oceanic and atmospheric phenomena, which has significant implications for climate science and environmental monitoring.He has authored over 100 journal articles and several book chapters, showcasing his prolific output and deep expertise in his field. His papers cover a range of topics including oceanic temperature variability, satellite observation of ocean dynamics, and the impact of climatic events on ocean systems.

Education

  • Ph.D. in Applied Ocean Science
    University of Delaware, USA
  • M.S. in Physical Oceanography
    National Taiwan Ocean University, Taiwan

Work Experience

  • Distinguished Professor
    Department of Marine Environmental Informatics, National Taiwan Ocean University, Taiwan
  • Chairperson
    Department of Marine Environmental Informatics, National Taiwan Ocean University, Taiwan
  • Deputy Director General
    National Museum of Marine Science and Technology, Taiwan
  • Associate Vice President for Research and Development
    National Taiwan Ocean University, Taiwan

Publication top Notes:

Risk Assessment for Recreational Activities in the Coastal Ocean

Extreme cooling of 12.5 °C triggered by Typhoon Fungwong (2008)

Preface: Remote Sensing Applications in Ocean Observation

Satellite observed new mechanism of Kuroshio intrusion into the northern South China Sea

On the Reconstruction of Missing Sea Surface Temperature Data from Himawari-8 in Adjacent Waters of Taiwan Using DINEOF Conducted with 25-h Data

Variations in Flow Patterns in the Northern Taiwan Strait Observed by Satellite-Tracked Drifters

Dr. Jean Triboulet | Subsea Vision | Best Researcher Award

Dr. Jean Triboulet | Subsea Vision | Best Researcher Award 

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 Évry 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 Évry 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 Nîmes: 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