Mehdi Ahmadian | Intelligent sensing Award | Best Researcher Award

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Prof. Mehdi Ahmadian | Intelligent sensing Award | Best Researcher Award

J. Bernard Jones Chair and Director at Virginia Tech,Ā United States

Dr. Mehdi Ahmadian is a highly accomplished researcher and academic in the field of mechanical engineering, with a focus on vehicle dynamics, smart materials, and control systems. He currently holds the J. Bernard Jones Chair of Mechanical Engineering at Virginia Tech and serves as the Director of the Center for Vehicle Systems and Safety and the Railway Technologies Laboratory. Dr. Ahmadian has a wealth of experience in both academia and industry, having worked at General Electric Transportation Systems and Lord Corporation before joining Virginia Tech. Throughout his career, Dr. Ahmadian has been recognized for his outstanding research contributions, receiving numerous awards such as the Alumni Award for Research Excellence and the Magnus Hendrickson Innovation Award. He has authored or co-authored hundreds of research papers, book chapters, and conference publications, covering topics ranging from vehicle suspension design to magnetorheological fluid technologies. Dr. Ahmadian’s leadership extends beyond his research and academic roles. He has served as Editor-in-Chief and editor for several prominent journals in the field, as well as holding leadership positions in various technical conferences and committees.

Professional Profile

Education: šŸŽ“

Mehdi Ahmadian holds a Ph.D. in Mechanical Engineering from the State University of New York at Buffalo, which he earned in 1984. He also completed an MBA in Business Administration at Pennsylvania State University ā€“ Behrend College in 1994. Prior to these achievements, Mehdi obtained an M.S. in Mechanical Engineering in 1982 and a B.S. in Mechanical Engineering in 1980, both from the State University of New York at Buffalo. His educational background reflects a strong foundation in mechanical engineering and business administration, preparing him for a successful career in academia and industry.

Work Experiences:šŸ‘Øā€šŸ«

Mehdi Ahmadian’s extensive professional experience spans various prestigious institutions and roles. At Virginia Polytechnic Institute and State University (Virginia Tech), he currently holds the J. Bernard Jones Chair, a position he has held since April 2020, and previously served as the Dan Pletta Professor from March 2014 to April 2020. His tenure at Virginia Tech began in May 1995 as an Assistant Professor, progressing to Associate Professor in August 1998 and full Professor in August 2001. He is the founding Director of several research laboratories, including the Advanced Vehicle Dynamics Laboratory and the Center for Vehicle Systems and Safety. Mehdi’s research interests lie in transportation systems and control, focusing on areas such as advanced suspensions, vehicle system dynamics, and vehicle noise and vibration assessment. He has secured over $27 million in research funding and holds multiple U.S. and international patents for his innovations. In recognition of his contributions, Mehdi has received numerous awards, including the 2023 Alumni Award for Research Excellence and the 2019 Magnus Hendrickson Innovation Award. During a sabbatical leave from Virginia Tech, Mehdi served as a Visiting Scientist at the Army Research Laboratory and Aberdeen Test Center from August 2002 to July 2003. Here, he conducted research on the effect of vehicle dynamics and operational environment on human cognitive performance and validated dynamics and control methods for a state-of-the-art roadway simulator for tractor-trailer vehicles. Before joining academia, Mehdi worked at General Electric Transportation Systems as a Project Manager and Senior Mechanical Systems Engineer from February 1993 to May 1995. His responsibilities included managing a team of professionals to develop a new steerable railway truck for heavy freight applications and establishing new methods for dynamic and stability analysis of locomotives.

Skills:šŸ› ļø

Dr. Mehdi Ahmadian is a highly skilled professional with a diverse range of expertise in mechanical engineering, transportation systems, and academia. With a focus on vehicle dynamics and control, he has conducted extensive research in areas such as advanced suspensions, handling assessment, and vehicle system dynamics. Dr. Ahmadian is also well-versed in smart materials and systems, particularly in the application of magneto-rheological fluids and their use in intelligent suspensions. His proficiency extends to noise and vibration engineering, where he has demonstrated the ability to analyze and control noise and vibrations in mechanical systems, particularly in vehicle applications. Beyond his technical skills, Dr. Ahmadian has a strong background in research and innovation, as evidenced by his numerous publications, patents, and awards. He has also displayed exceptional leadership and management abilities, having led multidisciplinary teams, directed research laboratories and centers, and organized technical conferences and events. Dr. Ahmadian’s editorial skills are noteworthy, with significant experience as an editor for several prominent journals. He has effectively overseen the publication of research articles and managed editorial processes. Additionally, his teaching and mentoring skills are commendable, as he has successfully taught various subjects related to mechanical engineering and provided mentorship to students and researchers.

Research Interest:šŸ“ˆ

Dr. Mehdi Ahmadian, J. Bernard Jones Chair of Mechanical Engineering at Virginia Tech, is a distinguished researcher with a wide range of interests and accomplishments. His research interests encompass noise and vibrations, smart materials and systems, vehicle system dynamics and control, active safety systems, advanced transportation systems, rail vehicle systems, energy harvesting systems, intelligent suspensions, magneto-rheological fluids, and biodynamics. With a career spanning over two decades at Virginia Tech, Dr. Ahmadian has established himself as a leading figure in his field. He currently serves as the Director of the Center for Vehicle Systems and Safety (CVeSS) and the Railway Technologies Laboratory (RTL), both of which he founded. Additionally, he is the founding director of the Virginia Institute for Performance Engineering and Research (VIPER) and the Advanced Vehicle Dynamics Laboratory (AVDL).Ā  Prior to his academic career, Dr. Ahmadian gained valuable industry experience, including serving as the Lead Design Engineer for steerable locomotive trucks (bogies) at General Electric Transportation System from 1993 to 1995, and holding various engineering and management positions at Lord Corporation from 1987 to 1993. Dr. Ahmadian is a prolific author, having authored four book chapters, 163 archival journal papers, 225 refereed conference publications, and 147 unrefereed conference publications. He has delivered more than 400 technical presentations, including 16 major keynote and plenary lectures, and has co-authored six books on advanced technologies for ground vehicles. His contributions to academia also extend to editorial roles, including serving as Editor-in-Chief of the Journal of Vibration and Control, Editor of the International Journal of Vehicle System Dynamics, Editor-in-Chief of Shock and Vibration journal, and Editor-in-Chief of Advances in Automobile Engineering.

Awards:šŸ†

Mehdi Ahmadian has received numerous prestigious awards and recognitions throughout his career for his exceptional contributions to the field of mechanical engineering and transportation systems. In 2023, he was honored with the Alumni Award for Research Excellence, considered the most prestigious at Virginia Tech, in recognition of his significant lifelong research contributions. In 2019, Mehdi received the Magnus Hendrickson Innovation Award, the seminal SAE International Award in Vehicle Dynamics and Suspension Technologies, highlighting his innovative work in the field. The same year, he was recognized as one of the top 35 contributors among more than 200,000 members by SAE International, receiving the SAE International 2019 Top Contributor of the Year Award. Mehdi’s excellence in presenting and sharing knowledge within the field was acknowledged with the Lloyd L. Withrow Award in 2015, the SAE International Lloyd L. Withrow Distinguished Speaker Award. He was also awarded the 61st SAE International L. Ray Buckendale Award for outstanding contributions to the field, delivering a plenary lecture at the 2014 COMVEC. In 2008, Mehdi received the SAE International Forest R. McFarland Award for his exceptional contributions toward planning, development, and dissemination of technical meetings, conferences, and professional development programs. His exceptional leadership of a business-critical project was recognized with the Managerā€™s Award in 1995 from GE Transportation Systems. The following year, Mehdi received the GE Transportation Systems General Managerā€™s Award, the highest distinction awarded to one technical contributor annually for exceptional contributions to a critical project that advances technology and increases market share. Additionally, his academic excellence and potential in the field were acknowledged with the Gustav H. and Grete Zimmer Memorial Scholarship from the University of Buffalo, Mechanical Engineering Department, awarded to distinguished juniors and seniors from 1978 to 1980. These awards reflect Mehdi Ahmadian’s outstanding achievements, leadership, and commitment to advancing the field of mechanical engineering and transportation systems.

Publications:šŸ“„

Road Vehicle Suspension Design, Dynamics, and Control

Authors: D Cao, X Song, M Ahmadian

Citations: 381

Year: 2011

Modeling Multibody Systems with Uncertainties. Part I: Theoretical and Computational Aspects

Authors: A Sandu, C Sandu, M Ahmadian

Citations: 261

Year: 2006

A Quarter-car Experimental Analysis of Alternative Semiactive Control Methods

Authors: M Ahmadian, CA Pare

Citations: 252

Year: 2000

A Comprehensive Analysis of the Response Time of MR Dampers

Authors: JH Koo, FD Goncalves, M Ahmadian

Citations: 221

Year: 2006

A Review of the State of the Art in Magnetorheological Fluid Technologies–Part I: MR Fluid and MR Fluid Models

Authors: FD Goncalves, JH Koo, M Ahmadian

Citations: 195

Year: 2006

Modeling Multibody Systems with Uncertainties. Part II: Numerical Applications

Authors: C Sandu, A Sandu, M Ahmadian

Citations: 188

Year: 2006

In Search of Suitable Control Methods for Semi-active Tuned Vibration Absorbers

Authors: JH Koo, M Ahmadian, M Setareh, T Murray

Citations: 167

Year: 2004

A Survey of Wheelā€“rail Contact Models for Rail Vehicles

Authors: SZ Meymand, A Keylin, M Ahmadian

Citations: 166

Year: 2016

An Enhanced SMA Phenomenological Model: I. The Shortcomings of the Existing Models

Authors: MH Elahinia, M Ahmadian

Citations: 144

Year: 2005

No-jerk Skyhook Control Methods for Semiactive Suspensions

Authors: M Ahmadian, X Song, SC Southward

Citations: 144

Year: 2004

Modeling Magnetorheological Dampers with Application of Nonparametric Approach

Authors: X Song, M Ahmadian, SC Southward

Citations: 133

Year: 2005

An Evaluation of Magneto Rheological Dampers for Controlling Gun Recoil Dynamics

Authors: M Ahmadian, JC Poynor

Citations: 132

Year: 2001

Experimental Analysis of Magnetorheological Dampers when Subjected to Impact and Shock Loading

Authors: M Ahmadian, JA Norris

Citations: 123

Year: 2008

Investigating the Magnetorheological Effect at High Flow Velocities

Authors: FD Goncalves, M Ahmadian, JD Carlson

Citations: 117

Year: 2005

Vehicle Evaluation of the Performance of Magneto Rheological Dampers for Heavy Truck Suspensions

Authors: D Simon, M Ahmadian

Citations: 112

Year: 2001

 

 

 

Best Data Analytics for Sensing

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Introduction Best Data Analytics for Sensing

The ‘Best Data Analytics for Sensing’ award celebrates groundbreaking achievements in the field of data analytics applied to sensing technologies. This award recognizes innovations that leverage data-driven insights to enhance the performance, efficiency, and impact of sensing solutions across various industries.

About the Award:

The ‘Best Data Analytics for Sensing’ award honors individuals, teams, or organizations that have demonstrated excellence in developing and implementing data analytics techniques to improve the functionality and effectiveness of sensing technologies. Eligible candidates may include researchers, engineers, data scientists, and innovators who have made significant contributions to advancing the field of sensing through their work in data analytics.

Eligibility and Qualifications:
  • Open to individuals, teams, and organizations worldwide.
  • No age limits apply.
  • Candidates must have a background in data analytics, sensing technologies, or related fields.
  • Qualifications may include a strong academic record, relevant professional experience, and a track record of impactful research or projects in the field of data analytics for sensing.
Evaluation Criteria:

Submissions will be evaluated based on the following criteria:

  1. Innovation and creativity in applying data analytics to sensing technologies.
  2. Impact of the work on the field of sensing and its potential for future developments.
  3. Technical excellence and quality of the data analytics techniques employed.
  4. Practicality and feasibility of implementation in real-world scenarios.
  5. Contribution to advancing the field of data analytics for sensing.
Submission Guidelines:
  • Submit a detailed description of the project or research work, highlighting the use of data analytics in sensing technologies.
  • Include supporting materials such as publications, patents, or technical reports.
  • Provide evidence of the impact or significance of the work in the field of sensing.
Recognition:

The winner of the ‘Best Data Analytics for Sensing’ award will receive a prestigious recognition certificate and a cash prize. They will also be featured in relevant publications and media outlets, showcasing their achievements to a wider audience.

Community Impact:

The ‘Best Data Analytics for Sensing’ award aims to promote collaboration and knowledge-sharing among researchers, engineers, and innovators in the field of data analytics and sensing. By recognizing and celebrating outstanding contributions in this area, the award seeks to inspire future generations to explore new possibilities and push the boundaries of what is possible with data analytics and sensing technologies.

Biography:

The ‘Best Data Analytics for Sensing’ award recognizes individuals, teams, or organizations that have made significant contributions to advancing the field of sensing through their innovative use of data analytics techniques. Candidates for this award should have a strong background in data analytics, sensing technologies, or related fields, and demonstrate a track record of impactful research or projects in this area.

Abstract and Supporting Files:

The ‘Best Data Analytics for Sensing’ award celebrates innovations in data analytics applied to sensing technologies. Submissions should include an abstract summarizing the project or research work, as well as supporting files such as publications, patents, or technical reports.