Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Baraheni, Arak University of Technology, Iran

Assist. Prof. Dr. Mohammad Baraheni 👨‍🏫 is an Assistant Professor at Arak University of Technology, specializing in Mechanical Engineering, particularly in Production & Manufacturing. He holds a PhD from the University of Kashan, focusing on rotary ultrasonic machining. His research interests include ultrasonic machining, additive manufacturing, artificial intelligence in manufacturing, and advanced ceramics. Dr. Baraheni has published extensively in international journals and received accolades such as the Excellent Paper Award at ISAAT 2023. He has teaching experience in subjects like CNC and advanced machining. His professional background also includes roles in industry and design engineering. 📚🔧🌍

Education

Assist. Prof. Dr. Mohammad Baraheni completed his Post-Doctoral Degree at the University of Tabriz (2019-2022), specializing in Mechanical Engineering, with a focus on Ultrasonic Machining of Additive Manufactured Materials. He also pursued a Sabbatical Fellowship at Hochschule Furtwangen University in Germany (2017-2018), where he developed an expert system using Artificial Intelligence. Dr. Baraheni holds a PhD in Mechanical Engineering from University of Kashan (2014-2020), focusing on Rotary Ultrasonic Machining of Si3N4. His earlier academic journey includes an M.Sc. and B.Sc. from the University of Tabriz. 🏫🔧🧑‍🎓

 

Professional Experience

Assist. Prof. Dr. Mohammad Baraheni has accumulated diverse experience in both academia and industry. Since 2020, he has been serving as an Assistant Professor at Arak University of Technology. Previously, he worked as an Engineer at Tractorsazi Company (2018-2020) and a Research Assistant at Furtwangen Hochschule in Germany (2017-2018). He also gained valuable experience as a Design Engineer at Jahan Saderat Machine (2016-2017) and a Sales Engineer at Pumpiran (2012-2014). Additionally, Dr. Baraheni has worked independently, designing industrial molds and machines such as Briquetting machines and Ultrasonic washing machines. ⚙️🔧

 

Teaching Experience

Assist. Prof. Dr. Mohammad Baraheni has a rich teaching portfolio across various institutions. He has taught courses in Industrial Drawing at University of Kashan, Grinding Technology, Universal Machining, and Advanced Machining Processes at Islamic Azad University. At Arak University of Technology, he has delivered lectures on Computer Numerical Control, Casting, Metallurgy, Metrology, and Welding. Additionally, Dr. Baraheni has taught Plastic Molding Design at University of Tabriz and English for Mechanical Engineering at Shahid Mousavian University. His broad expertise spans key areas in mechanical engineering. 🛠️📚

 

Research Focus

Assist. Prof. Dr. Mohammad Baraheni’s research primarily revolves around advanced machining techniques and their application in composite materials. His work extensively explores rotary ultrasonic machining, ultrasonic-assisted drilling, and grinding technologies for materials like Si3N4 ceramics, carbon fiber reinforced polymers (CFRP), and glass fiber reinforced plastics (GFRP). He has contributed to optimization of process parameters, delamination control, surface integrity, and cutting force prediction. His research also delves into additive manufacturing, material behavior, and industrial mold design, focusing on enhancing precision and efficiency in machining processes. His work bridges mechanical engineering with innovative manufacturing. 🌍

 

Publication Top Notes

  • Residual stress in engineering materials: a review – 104 citations, 2022 📖🔧
  • Predicting subsurface damage in silicon nitride ceramics subjected to rotary ultrasonic assisted face grinding – 70 citations, 2019 🔬🛠️
  • Parametric analysis of delamination in GFRP composite profiles by performing rotary ultrasonic drilling approach – 50 citations, 2019 🔩💡
  • Comprehensive optimization of process parameters in rotary ultrasonic drilling of CFRP – 43 citations, 2019 ⚙️🔩
  • Parametric investigation of rotary ultrasonic drilling of carbon fiber reinforced plastics – 39 citations, 2018 ⚙️🔧
  • Enhancing dimensional accuracy and surface integrity by helical milling of CFRP – 36 citations, 2019 📐✂️
  • Feasibility study of delamination in rotary ultrasonic-assisted drilling of GFRP – 35 citations, 2018 🔬🛠️
  • Mathematical model to predict cutting force in rotary ultrasonic assisted end grinding of Si3N4 – 32 citations, 2020 📏💻
  • Environmental, mechanical and materialistic effects on delamination damage of glass fiber composites – 31 citations, 2019 🧪🛠️
  • Ultrasonic-assisted friction drilling process of aerospace aluminum alloy (AA7075) – 19 citations, 2021 ✈️🔩
  • Evaluating the hole quality produced by vibratory drilling: additive manufactured PLA+ – 18 citations, 2021 🖨️🔩
  • Statistical study of the effect of various machining parameters on delamination in drilling of CFRP – 17 citations, 2018 🔍💡
  • Investigation on rotary ultrasonic assisted end grinding of silicon nitride ceramics – 13 citations, 2019 ⚙️🔬
  • Experimental comparison of MO40 steel surface grinding performance under different cooling techniques – 13 citations, 2019 🛠️🧊
  • Experimental and empirical model analysis of microsurface texturing on 316 L press-fit joints fabricated by selective laser melting – 12 citations, 2020 🔬🖨️

 

Gabriel Davidyan | Mechanical Engineering Award | Best Researcher Award

Mr. Gabriel Davidyan | Mechanical Engineering Award | Best Researcher Award

Mr. Gabriel Davidyan, Israel Railway, Israel

🚆 Gabriel Davidyan is a forward-thinking Director of Research and Development at Israel Railways and a dedicated PhD candidate at Ben-Gurion University. With a focus on operational digital twins for railway systems, Gabriel excels in predictive maintenance technologies and leading multidisciplinary projects. His expertise in mechanical engineering, honed through years of experience and collaboration with esteemed professors, drives innovation in the field. With a track record of successful project leadership, strategic partnerships, and publications in reputable journals, Gabriel is committed to advancing railway systems through cutting-edge research and industry collaboration. 🛤️🔬

 

Publication Profile 

Orcid

Education

 

🎓 Gabriel Davidyan’s educational journey reflects a passion for advancing engineering solutions, particularly in the realm of railway systems. His academic foundation was laid at Shamoon College of Engineering, where he earned a Bachelor’s degree in Mechanical Engineering. Building upon this, he pursued a Master’s degree in Energy Engineering at Ben-Gurion University, delving into the intricacies of angular speed estimation algorithms. Currently, Gabriel is immersed in his Ph.D. studies at Ben-Gurion University, under the guidance of Professors Jacob Bortman and Ron S. Kennet, focusing on the development of operational digital twins for railway systems, marking his commitment to innovation in the field of transportation engineering. 🚂📚

 

Professional Experience 

 

🔧 Gabriel Davidyan’s professional journey epitomizes leadership and innovation in the realm of railway maintenance and development. As the Director of Research and Development at Israel Railways since 2022, he spearheads pioneering projects in predictive maintenance, translating concepts into tangible successes. Previously, during his tenure from 2013 to 2022, he held pivotal roles, including Director of Maintenance Engineering Department. Here, he led cross-functional teams, managed budgets efficiently, and cultivated strategic partnerships to drive operational excellence. Gabriel’s expertise lies in implementing cutting-edge technologies, optimizing maintenance processes, and fostering a culture of continuous improvement, ensuring the reliability and efficiency of railway systems. 🚄💼

 

Research Focus

🔬 Gabriel Davidyan’s research focus lies in the development and application of advanced technologies to enhance the efficiency and reliability of railway systems. His contributions include pioneering work on operational digital twins, such as the development of a digital twin for a freight car braking system and a locomotive parking brake. Additionally, he has delved into algorithmic advancements, such as devising novel algorithms for instantaneous angular speed estimation based on vibration signatures. Through his interdisciplinary approach and collaboration with esteemed colleagues, Gabriel continues to push the boundaries of innovation in the field of transportation engineering, ensuring safer and more optimized railway operations. 🚂

Publication Top Notes