Prof. Mehdi Behzad | Monitoring | Lifetime achievement Award

Prof. Mehdi Behzad | Monitoring | Lifetime achievement Awardย 

Prof. Mehdi Behzad, Sharif University of Technology, Iran

Professor Mehdi Behzad is a distinguished academic and expert in mechanical engineering at the Sharif University of Technology, Tehran, Iran. He earned his Ph.D. from the University of New South Wales, Australia, in 1995, with a specialization in rotor dynamics and coupled vibrations. With over three decades of academic and industrial experience, Professor Behzad has led pioneering research in vibration analysis, condition monitoring, and fault diagnostics of rotating machinery. He has supervised more than 90 M.Sc. and 11 Ph.D. theses, contributed extensively to national industrial projects, and developed intelligent software solutions for signal processing and machinery health assessment. His professional service includes chairing major national conferences on condition monitoring and maintenance, as well as delivering keynote lectures at international forums such as the CM2024 in Oxford, UK. Professor Behzadโ€™s contributions span academic teaching, applied research, and industrial consultancy, making him a leading figure in the field of vibration analysis and mechanical systems diagnostics.

Professional Profile:

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Summary of Suitability for Lifetime Achievement Award

Prof. Mehdi Behzad is a distinguished academic and industry expert whose lifelong dedication to mechanical engineering, particularly in the field of vibration analysis and rotor dynamics, exemplifies the qualities honored by the Lifetime Achievement Award. His career spans over three decades of impactful teaching, groundbreaking research, industrial collaboration, and academic leadership.

๐Ÿ‘จโ€๐ŸŽ“ Education

๐Ÿ“ Ph.D. in Mechanical Engineering
University of New South Wales, Sydney, Australia โ€“ May 1995

  • ๐ŸŒ€ Thesis: Transfer matrix analysis of rotor systems with coupled lateral and torsional vibrations

  • ๐Ÿงฎ Courses: Finite elements, vibration, frequency analysis, lubrication

  • ๐Ÿง‘โ€๐Ÿ’ป Developed vibration analysis software using Riccati transfer matrix

  • ๐Ÿ“„ Published 3 papers on rotor dynamics

๐Ÿ“ M.Sc. in Mechanical Engineering
Sharif University of Technology, Tehran, Iran โ€“ May 1989

  • ๐Ÿ“˜ Thesis: Transfer Function and stability of electrohydraulic servo systems

  • ๐Ÿงช Repaired an electrohydraulic servo system for experiments

  • ๐Ÿ“š Advanced studies in control, dynamics, nonlinear vibration

๐Ÿ“ B.Sc. in Mechanical Engineering
Isfahan University of Technology, Iran โ€“ Feb 1986

  • ๐Ÿ”ง Broad mechanical engineering training including dynamics, turbomachinery, heat transfer

๐Ÿง‘โ€๐Ÿซ Academic & Teaching Experience

๐Ÿ“ Professor โ€“ Sharif University of Technology (1994โ€“2025)

  • ๐Ÿ‘จโ€๐Ÿ”ฌ Supervised 90+ M.Sc. and 11 Ph.D. theses

  • ๐Ÿ“˜ Taught undergrad & grad courses in vibration, rotor dynamics, control, mathematics

  • ๐Ÿ›  Developed curricula & practical labs

  • ๐Ÿง‘โ€๐Ÿญ Founded training centers, oversaw solid mechanics lab & naval division

  • ๐Ÿ“œ Organized nationwide Condition Monitoring & Fault Diagnosis conference (2007โ€“2024)

๐Ÿงช Research & Industrial Experience

๐Ÿ“ University of New South Wales (1990โ€“1995)

  • ๐Ÿ“Š Built and used data acquisition systems

  • ๐Ÿ” Solved numerical issues in transfer matrix methods

  • ๐Ÿ“ Wrote reports for Sydney Electricity & Pacific Power

๐Ÿ“ Sazeh Consultant, Tehran (1988โ€“1990)

  • ๐Ÿ›  Vibration analysis for industrial structures

  • ๐Ÿงพ Created guidelines for thermal stress, piping design, and actuator testing

๐Ÿ“ Industrial Consultant (1996โ€“2024)

  • ๐Ÿญ Completed 50+ major vibration and condition monitoring projects

  • ๐Ÿ” Diagnosed faults in turbines, compressors, cement mills, pumps, and more

  • ๐Ÿ–ฅ Developed intelligent diagnostic software

  • ๐ŸŒŠ Assessed vibration in hydropower & petrochemical plants

  • ๐Ÿš‚ Involved in projects with railways, powerplants, and petrochemical complexes

๐Ÿ† Achievements, Awards & Honors

๐ŸŽค Keynote & Invited Speaker

  • ๐Ÿ“ 20th International Conference on Condition Monitoring and Asset Management (CM2024), Oxford, UK

    • ๐Ÿ—ฃ โ€œChallenges in Condition Monitoringโ€

    • ๐ŸŽ™ โ€œVibration Features for Machinery Condition Monitoringโ€

๐Ÿ… Leadership Roles

  • ๐ŸŽ– Chairman of Iran Maintenance Association (2007โ€“2012)

  • ๐Ÿงฉ Research Deputy, Sharif University โ€“ Mechanical Eng. Dept.

  • ๐ŸŽ“ Director, University Center for Training (since 2010)

๐Ÿ“˜ Curriculum Innovator & Educator

  • ๐Ÿ›  Founded and led numerous industrial courses & workshops on:

    • Vibration Analysis Levels 1 & 2

    • Rotor Dynamics

    • API 687 Repair Technologies

    • Reliability Centered Maintenance

    • Shaft Alignment

Publicationย Top Notes:

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Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Award

Prof. Yankun Peng | Smart Monitoring Award | Best Researcher Awardย 

Prof. Yankun Peng, China Agricultural University, China

Dr. Peng is a distinguished researcher and professor in the field of Agricultural Engineering with a focus on intelligent detection systems and automated devices for evaluating agricultural product quality and safety. He holds a Ph.D. in Biological and Agricultural Engineering from Tokyo University of Agriculture and Technology, Japan, and has extensive academic and professional experience in both China and the United States. Since 2007, Dr. Peng has served as a Professor and PhD supervisor at the College of Engineering, China Agricultural University (CAU), where he also holds key leadership roles including Director of the National R&D Center for Agro-Processing Technology and Equipment and the National Technical Center for Nondestructive Evaluation, Identification, Instrument, and Equipment of Famous Agro-foods.

Professional Profile:

 

Summary of Suitability for Best Researcher Awardย 

Dr. Peng has authored 293 peer-reviewed journal articles and 257 conference proceedings, showcasing his prolific research output.He holds 107 patents (including a US patent), with 22 patents industrialized, reflecting his significant contributions to applied science and technology. Additionally, he has developed 18 series of equipment for agro-food quality inspection and grading. Dr. Peng has established 14 standards and authored 4 books and 17 book chapters, demonstrating his leadership in setting benchmarks and contributing to scientific literature.

Education

  • Ph.D. in Biological and Agricultural Engineering
    Tokyo University of Agriculture and Technology, Tokyo, Japan
    Apr. 1993 – Mar. 1996
    Major: Agricultural Engineering, Specialty in Biological Production Science
    Dissertation Title: Active Noise Control on Agricultural/Biological Production Machinery

    • Developed and designed a new type of Active Noise Control (ANC) system/equipment.
    • Proposed a Recurrent Least Squares (RLS) algorithm for noise reduction.
    • Conducted computer simulations of noise reduction effects using C/C++ programming language.
    • Constructed an Adaptive Digital Filter (ADF) system with digital signal processors (DSP) and C/C++ programming.
    • Evaluated the control system on actual machinery and simplified the control algorithm using matrix theory.
  • M.S. in Engineering in Agricultural Electrification & Automation
    Graduate School of Northeast Agricultural University, Harbin, China
    Sep. 1985 – Dec. 1988
    Major: Agricultural Electrification & Automation
    Thesis Title: A Microcomputer Control System for Livestock Granulated Feed Processing

    • Developed a PID feedback control system using a microcomputer.
    • Proposed a new control method for the rotation speed of a servomechanism.
    • Designed a controller using a microcomputer and assembly programming language.
    • Invented a grain flow sensor and applied the control system to livestock feed production.
    • Proposed a method for judging the stability of linear time-invariant systems.

Professional Experience

  • Professor and Ph.D. Supervisor
    Department of Agricultural Engineering, College of Engineering, China Agricultural University (CAU)
    Beijing, China
    Mar. 2007 – Present

    • Research in nondestructive measurement and instrumentation for agricultural product quality and safety.
    • Development of hyperspectral/multispectral and Raman spectral imaging methods for meat microbial contamination detection.
    • Development of rapid real-time inspection/detection systems and NIR optical instruments for agricultural product contaminants.
    • Teaching courses on nondestructive measurement technology and hyperspectral imaging techniques for agro-food quality attributes.
    • Supervised over 60 graduate students in agricultural engineering research.
  • Director, National R&D Center for Agro-Processing Technology and Equipment
    Ministry of Agriculture and Rural Affairs, China
    Nov. 2009 – Present

    • Oversight of national research and development projects related to agro-processing technology and equipment.
  • Director, National Technical Center for Nondestructive Evaluation, Identification, Instrument and Equipment of Famous, Special, Excellent and New Agro-foods
    Ministry of Agriculture and Rural Affairs, China
    Dec. 2019 – Present

    • Leadership in the development and evaluation of nondestructive techniques and equipment for agro-food quality assessment.

Publication top Notes:

Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control

Tailored Au@Ag NPs for rapid ractopamine detection in pork: Optimizing size for enhanced SERS signals

Optimization of Online Soluble Solids Content Detection Models for Apple Whole Fruit with Different Mode Spectra Combined with Spectral Correction and Model Fusion

SERS characterization and concentration prediction of Salmonella in pork

Rapid Quantitative detection of Ractopamine using Raman scattering features combining with Deep Learning

Non-destructive detection of TVC in pork by machine learning techniques based on spectral information