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 πŸ‘¨β€πŸ« 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. πŸ“šπŸ”§πŸŒ

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. πŸ«πŸ”§πŸ§‘β€πŸŽ“

 

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. βš™οΈπŸ”§

 

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. πŸ› οΈπŸ“š

 

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 πŸ“–πŸ”§
  • Predicting subsurface damage in silicon nitride ceramics subjected to rotary ultrasonic assisted face grinding – 70 citations, 2019 πŸ”¬πŸ› οΈ
  • Parametric analysis of delamination in GFRP composite profiles by performing rotary ultrasonic drilling approach – 50 citations, 2019 πŸ”©πŸ’‘
  • Comprehensive optimization of process parameters in rotary ultrasonic drilling of CFRP – 43 citations, 2019 βš™οΈπŸ”©
  • Parametric investigation of rotary ultrasonic drilling of carbon fiber reinforced plastics – 39 citations, 2018 βš™οΈπŸ”§
  • Enhancing dimensional accuracy and surface integrity by helical milling of CFRP – 36 citations, 2019 πŸ“βœ‚οΈ
  • Feasibility study of delamination in rotary ultrasonic-assisted drilling of GFRP – 35 citations, 2018 πŸ”¬πŸ› οΈ
  • Mathematical model to predict cutting force in rotary ultrasonic assisted end grinding of Si3N4 – 32 citations, 2020 πŸ“πŸ’»
  • Environmental, mechanical and materialistic effects on delamination damage of glass fiber composites – 31 citations, 2019 πŸ§ͺπŸ› οΈ
  • Ultrasonic-assisted friction drilling process of aerospace aluminum alloy (AA7075) – 19 citations, 2021 βœˆοΈπŸ”©
  • Evaluating the hole quality produced by vibratory drilling: additive manufactured PLA+ – 18 citations, 2021 πŸ–¨οΈπŸ”©
  • Statistical study of the effect of various machining parameters on delamination in drilling of CFRP – 17 citations, 2018 πŸ”πŸ’‘
  • Investigation on rotary ultrasonic assisted end grinding of silicon nitride ceramics – 13 citations, 2019 βš™οΈπŸ”¬
  • Experimental comparison of MO40 steel surface grinding performance under different cooling techniques – 13 citations, 2019 πŸ› οΈπŸ§Š
  • Experimental and empirical model analysis of microsurface texturing on 316 L press-fit joints fabricated by selective laser melting – 12 citations, 2020 πŸ”¬πŸ–¨οΈ

 

Raffaele Iervolino | Engineering | Best Researcher Award

Prof. Raffaele Iervolino | Engineering | Best Researcher Award

Prof. Raffaele Iervolino, University of Naples Federico II, Italy

Prof. Raffaele Iervolino is an esteemed Associate Professor of Automatic Control at the University of Naples Federico II, specializing in control systems analysis and design. Born in 1971 in Milan, Italy, he earned his M.S. in Aerospace Engineering in 1996 and a PhD in Computer and Automation Engineering in 2002. Raffaele has collaborated on numerous national and European research projects and has authored over 60 publications. His research interests include stability analysis of piecewise linear systems, reinforcement learning, and resource allocation problems. He is a Senior Member of the IEEE Control System Society. πŸ“šβœˆοΈπŸ”§

 

Publication profile

Google Scholar

Educational Background

Prof. Raffaele Iervolino holds a Research Doctorate degree from the University of Naples Federico II, obtained in March 2002. His academic journey began with a Research Doctorate in Computer and Automatic Engineering at the same university, specializing in Control and Systems Engineering from 1998 to 2001. He earned his Professional Engineer certificate in November 1996, further demonstrating his expertise. Prof. Iervolino completed his Laurea degree in Aerospace Engineering, graduating summa cum laude in June 1996 from the University of Naples Federico II, showcasing his exceptional academic achievements and commitment to engineering excellence. ✈️

 

Employment 🏫

Prof. Raffaele Iervolino currently serves as an Associate Professor of Automatic Control at the Faculty of Engineering, University of Naples Federico II, since 2024. Previously, he held the position of Assistant Professor of Automatic Control at the same university from 2003 to 2024. Beyond academia, he is a scientific consultant specializing in control system analysis and design for several organizations, including the academic spin-off Megaride (2018-present) and the electronics company Megaris (2015-present). He has also contributed to the CREATE Consortium (2002-present) and was a consultant for the FIAT Research Center from 1999 to 2004. πŸ”§

 

Teaching Activity πŸ“š

Prof. Raffaele Iervolino has made significant contributions to education through various academic courses. Since 2019, he has taught the Control Lab for the M.S. in Robotics and Automation Engineering at the University of Naples. Additionally, he has been instructing Systems Theory for the B.S. in Electronic Engineering at the Italian Air Force Academy since 2017. From 2011 to 2013, he taught Automation Technologies in the B.S. Computer Science Engineering program at the University of Naples. He also offered the course Fundamentals of Dynamic Systems for Biomedical Engineering from 2003 to 2022. In June 2018, he conducted a seminar on “A Consensus Policy and Piecewise Quadratic Stability for Heterogeneous Opinion Dynamics” at the University of Groningen, Netherlands. πŸŽ“

 

Research Contributions

He has authored over 60 publications, including journal papers, conference papers, and book chapters. His work covers crucial areas such as stability analysis of piecewise linear systems, opinion dynamics, and reinforcement learning, contributing to advancements in automatic control and engineering.

Publication Top Notes

  • Lyapunov stability for piecewise affine systems via cone-copositivity πŸ“„ – Citations: 53, Year: 2017
  • Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges πŸš€ – Citations: 47, Year: 2022
  • Primary frequency response improvement in interconnected power systems using electric vehicle virtual power plants ⚑ – Citations: 40, Year: 2020
  • Category II pilot in-the-loop oscillations analysis from robust stability methods ✈️ – Citations: 39, Year: 2001
  • Cone-copositive piecewise quadratic Lyapunov functions for conewise linear systems πŸ” – Citations: 37, Year: 2015
  • Approximate dynamic programming for stochastic resource allocation problems πŸ“Š – Citations: 36, Year: 2020
  • Analysis of pilot-in-the-loop oscillations due to position and rate saturations βš™οΈ – Citations: 34, Year: 2000
  • Practical consensus in bounded confidence opinion dynamics 🀝 – Citations: 27, Year: 2021
  • mu synthesis for a small commercial aircraft: Design and simulator validation ✈️ – Citations: 27, Year: 2004
  • A wearable device for sport performance analysis and monitoring πŸ‹οΈ – Citations: 26, Year: 2017


Conclusion

Prof. Raffaele Iervolino’s impressive educational credentials, extensive research contributions, active participation in significant projects, and commitment to teaching make him an outstanding candidate for the Best Researcher Award. His work not only advances knowledge in automatic control but also has practical implications across various industries.

 

George Nnanna | Engineering | Best Researcher Award

Prof Dr. George Nnanna | Engineering | Best Researcher Award

Prof Dr. George Nnanna, The University of Texas Permian Basin, United States

Based on the provided information, Prof. Dr. George Nnanna would be a suitable candidate for the Research for Best Researcher Award due to his extensive contributions in academia, strategic planning, and research leadership. Below is an analysis of his achievements:

Publication profile

Strategic Planning and Leadership

Prof. Dr. Nnanna has demonstrated a strong capacity for strategic planning, having led the development of four strategic plans and actively participated in two university-level strategic plans. His leadership in these initiatives, such as targeting increased graduation rates amidst challenges due to the local economic climate, highlights his ability to navigate complex issues and implement effective strategies.

Fundraising and Resource Management

Dr. Nnanna’s experience in managing a substantial budget of nearly $21 million and collaborating on major fundraising efforts totaling $9.74 million underscores his capability in financial stewardship and resource allocation. His involvement in the $55 million Engineering Building project further reflects his skills in securing and managing large-scale investments.

Research Funding and Grants

With over $14 million in external grants generated as a Principal Investigator (PI) or Co-Principal Investigator (Co-PI), Dr. Nnanna’s success in securing diverse funding sourcesβ€”federal, industry, city, and stateβ€”demonstrates his expertise in research proposal writing and his ability to attract significant research support.

Academic Achievements and Honors

His academic background, including a Ph.D. in Mechanical Engineering from The University of Texas at Arlington and executive leadership training from Harvard University and Oxford University, positions him as a well-rounded scholar and leader. His numerous honors, including a fellowship with the American Society of Mechanical Engineers and recognition by the Carnegie African Diaspora Fellowship, further affirm his stature in the academic community.

Contributions to Education and Accreditation

Prof. Dr. Nnanna’s role as Founding Dean and his leadership in ABET accreditation processes for engineering programs demonstrate his commitment to maintaining high educational standards. His involvement in teaching advanced engineering courses and advancing student learning experiences emphasizes his dedication to academic excellence.

Publication Top Notes

  • Enhanced solar-driven evaporation and mineral extraction from hypersaline produced water using low-cost microporous photothermal foam πŸ§ͺ🌞
    • Nnanna, A.G.A., Nnanna, N.A., Heliyon, 2024, 10(8), e29321.
    • Cited by: 0
  • Compositional Analysis of Conventional and Unconventional Permian Basin-Produced Waters: A Simple Tool for Predicting Major Ion Composition πŸ’§πŸ”
    • Ogbuji, B., Agwu Nnanna, A.G., Engle, M., Amesquita, R., SPE Production and Operations, 2022, 37(3), pp. 383–396.
    • Cited by: 6
  • A novel activated carbon enabled steam generation system under simulated solar light πŸŒžπŸ”‹
    • Mishra, A., Nnanna, A.G.A., Journal of Electronic Packaging, 2019, 141(3), 031015.
    • Cited by: 0
  • Optimization of Water Consumption in Hybrid Evaporative Cooling Air Conditioning Systems for Data Center Cooling Applications πŸŒ¬οΈπŸ’»
    • Ndukaife, T.A., Nnanna, A.G.A., Heat Transfer Engineering, 2019, 40(7), pp. 559–573.
    • Cited by: 19
  • Enhancement of Performance and Energy Efficiency of Air Conditioning System Using Evaporatively Cooled Condensers β„οΈβš‘
    • Ndukaife, T.A., Nnanna, A.G.A., Heat Transfer Engineering, 2019, 40(3-4), pp. 375–387.
    • Cited by: 10
  • Membrane fouling mitigation in water filtration using piezoelectrics πŸ’§πŸ“Š
    • Aronu, O., Abramowitz, H., Nnanna, A.G., ASME International Mechanical Engineering Congress and Exposition, 2019, 8.
    • Cited by: 0
  • Net-zero water (NZW) reuse desiccant assisted evaporative cooling system for data centers πŸŒ±πŸ’§
    • Okposio, D., Agwu Nnanna, A.G., Abramowitz, H., ASME International Mechanical Engineering Congress and Exposition, 2019, 8.
    • Cited by: 1
  • High-Resolution Large-Ensemble Nanoparticle Trapping with Multifunctional Thermoplasmonic Nanohole Metasurface πŸ§²πŸ”¬
    • Ndukaife, J.C., Xuan, Y., Nnanna, A.G.A., Wereley, S.T., Boltasseva, A., ACS Nano, 2018, 12(6), pp. 5376–5384.
    • Cited by: 46
  • Development of a low cost self-sustaining water distillation system using activated carbon nanofluids πŸ’§πŸ”₯
    • Mishra, A., Nnanna, A.G.A., ASME International Mechanical Engineering Congress and Exposition, 2018, 6B-2018.
    • Cited by: 0
  • Smartphone-based device for monitoring chemical pollutants in water πŸ“±πŸ§ͺ
    • Ozeh, S., Nnanna, A.G.A., Ndukaife, J.C., ASME International Mechanical Engineering Congress and Exposition, 2018, 3.
    • Cited by: 1

Conclusion

Prof. Dr. George Nnanna’s strategic vision, leadership in resource management, successful acquisition of research funding, and commitment to academic and educational excellence make him a strong contender for the Research for Best Researcher Award. His multifaceted contributions to engineering education and his proactive approach to overcoming institutional challenges highlight his significant impact in the field.

 

Gabriel Davidyan | Mechanical Engineering Award | Best Researcher Award

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

Mr. Gabriel Davidyan, Israel Railway, Israel

πŸš† 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. πŸ›€οΈπŸ”¬

 

Publication ProfileΒ 

Orcid

Education

 

πŸŽ“ 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. πŸš‚πŸ“š

 

Professional ExperienceΒ 

 

πŸ”§ 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. πŸš„πŸ’Ό

 

Research Focus

πŸ”¬ 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. πŸš‚

Publication Top Notes