Mehdi Ghatee | Artificial Intelligence | Best Researcher Award

Published on by Shen Awards

Prof. Mehdi Ghatee | PArtificial Intelligence | Best Researcher Award

Full Professor at Amirkabir University of Technology, Iraq

This individual is a highly skilled project manager with expertise in intelligent transportation systems and infrastructure. They have led several high-profile ITS projects across Iran, including the Action Plan for Intelligent Transportation Systems in Shiraz and national projects involving intracity and intercity ITS. Their work focuses on optimizing transportation systems using advanced technologies such as artificial intelligence, neural networks, and data science. With a career spanning over two decades, they have contributed significantly to improving Iran’s public transportation and highway systems, as well as advising on critical petroleum transport safety issues.

Profile

Education🎓

They hold advanced degrees in engineering and transportation systems, including specialized training in artificial intelligence and network optimization. Their academic journey began with a focus on optimizing transportation networks, and they later pursued studies that explored neural networks and intelligent transportation systems. Through continued education and professional development, they gained cutting-edge knowledge in data mining and its applications in transportation. Their interdisciplinary background merges technical expertise with the management of large-scale infrastructure projects.

Experience💼

The individual has a rich professional background in transportation management. They have served as a project manager for various organizations, including the Shiraz Municipality, Tehran Deputy of Traffic, MSRT, and Tehran Control Traffic Company. Their leadership has been instrumental in developing intelligent transportation solutions and investigating hazardous material transportation risks. They also advised on BRT systems and public transportation initiatives. With over 15 years of experience in both the public and private sectors, they’ve been at the forefront of implementing ITS and advising on petroleum-related transport and logistics.

Awards & Honors🏆

Over their career, the individual has been recognized for their contributions to transportation system innovation and project management excellence. Their leadership on intelligent transportation systems projects has earned them accolades from governmental bodies such as the MSRT and NIOPDC. Notable achievements include awards for the implementation of cutting-edge ITS technologies, as well as safety improvements in the transportation of hazardous materials. Their work has significantly enhanced public transit systems in major Iranian cities, particularly Tehran and Shiraz, positioning them as a key figure in national transportation projects.

Research Focus 🔬

Their research primarily revolves around the application of artificial intelligence and neural networks in optimizing transportation networks. Starting with a focus on network optimization in 2004, they expanded their interests to intelligent transportation systems (ITS) and later neural networks and data mining. They aim to create efficient and safer transportation systems through the use of AI, exploring ways to minimize congestion, enhance road safety, and improve the transportation of goods, especially hazardous materials. Their work intersects with both public transit and highway infrastructure improvements through innovative tech solutions.

Conclusion

The candidate possesses outstanding credentials in intelligent transportation systems and AI-driven technologies, making them a strong contender for the Best Researcher Award. Their vast project management experience, coupled with a diverse research portfolio in AI, neural networks, and data science, aligns well with the award criteria. To further solidify their candidacy, expanding their international collaborations and academic contributions would provide a broader platform for their innovative work, making them a more recognized figure in the global research community.

Publication Top Notes
  • A systematic review on overfitting control in shallow and deep neural networks
    • Authors: MM Bejani, M Ghatee
    • Journal: Artificial Intelligence Review
    • Citations: 304
    • Year: 2021
    • Details: This review addresses various methods for controlling overfitting in neural networks, both shallow and deep, presenting strategies and techniques for improving generalization in machine learning models.
  • Computational methods for solving fully fuzzy linear systems
    • Authors: M Dehghan, B Hashemi, M Ghatee
    • Journal: Applied Mathematics and Computation
    • Citations: 298
    • Year: 2006
    • Details: This paper introduces novel computational techniques to solve fully fuzzy linear systems, which have applications in systems where uncertainty is modeled using fuzzy logic.
  • Solution of the fully fuzzy linear systems using iterative techniques
    • Authors: M Dehghan, B Hashemi, M Ghatee
    • Journal: Chaos, Solitons & Fractals
    • Citations: 171
    • Year: 2007
    • Details: Focuses on iterative techniques to solve fuzzy linear systems, providing an alternative to traditional crisp systems solutions.
  • A context-aware system for driving style evaluation by an ensemble learning on smartphone sensors data
    • Authors: MM Bejani, M Ghatee
    • Journal: Transportation Research Part C: Emerging Technologies
    • Citations: 153
    • Year: 2018
    • Details: Proposes an ensemble learning model for driving style evaluation using smartphone sensor data, improving transportation safety and behavior analysis.
  • Convolutional neural network with adaptive regularization to classify driving styles on smartphones
    • Authors: MM Bejani, M Ghatee
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Citations: 84
    • Year: 2019
    • Details: Introduces CNNs with adaptive regularization techniques for classifying driving styles using mobile sensor data.
  • Hybrid of discrete wavelet transform and adaptive neuro-fuzzy inference system for overall driving behavior recognition
    • Authors: HR Eftekhari, M Ghatee
    • Journal: Transportation Research Part F: Traffic Psychology and Behavior
    • Citations: 83
    • Year: 2018
    • Details: Combines wavelet transforms and neuro-fuzzy systems to recognize driving behaviors, helping in real-time traffic safety assessments.
  • A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors
    • Authors: HR Eftekhari, M Ghatee
    • Journal: Journal of Intelligent Transportation Systems
    • Citations: 68
    • Year: 2019
    • Details: Describes a neuro-fuzzy modeling approach for driving behavior detection using fused smartphone sensor data.
  • Three-phases smartphone-based warning system to protect vulnerable road users under fuzzy conditions
    • Authors: RB Zadeh, M Ghatee, HR Eftekhari
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Citations: 65
    • Year: 2017
    • Details: Develops a warning system using fuzzy logic for protecting road users, especially pedestrians and cyclists.
  • An inference engine for smartphones to preprocess data and detect stationary and transportation modes
    • Authors: HR Eftekhari, M Ghatee
    • Journal: Transportation Research Part C: Emerging Technologies
    • Citations: 65
    • Year: 2016
    • Details: Introduces an inference engine to classify transportation modes from smartphone data, improving mobility tracking.
  • Optimal network design and storage management in petroleum distribution network under uncertainty
    • Authors: M Ghatee, SM Hashemi
    • Journal: Engineering Applications of Artificial Intelligence
    • Citations: 60
    • Year: 2009
    • Details: Proposes a model for optimizing petroleum distribution networks, considering uncertainty factors in supply chains.

 

Assoc Prof Dr. Phan Van Hung | Science | Best Researcher Award

Published on by Shen Awards

Assoc Prof Dr. Phan Van: Leading Researcher in Science

Head of Department at Science , Vietnam Maritime University, Vietnam

He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

He academic journey has been defined by a profound dedication to the field of Maritime Education and Transportation Systems. Currently, He serve as a Professor at Vietnam Maritime University in Haiphong, Vietnam, a role He have held since August 2018. Prior to this, He pursued Ph.D. in Maritime Transportation System Education at Mokpo National Maritime University in Mokpo, Jeollanam-do, South Korea, from August 2015 to August 2018. Here, he delved deep into the complexities of maritime transportation systems, enriching my understanding of this critical area. He educational pursuit began with a Master’s degree in the Faculty of Navigation at Vietnam Maritime University, where I honed He foundational knowledge from August 2010 to June 2013. These academic endeavors have not only equipped me with the expertise to navigate the intricate waters of maritime education but have also instilled in a passion to continue pushing the boundaries of knowledge in this vital field. 🌊📚

Phan Van Hung ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 47, Since 2018: 46
  • Citations: 47 (All), 46 (Since 2018)
  • h-index: 4 (All), 4 (Since 2018)
  • i10-index: 1 (All), 1 (Since 2018)

These metrics showcase the impact of Van Hung ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Employment:

Since March 2010, I have had the privilege of contributing to the academic landscape as a member of the faculty at Vietnam Maritime University in Haiphong, Vietnam. In this role within the Faculty of Navigation, I have been dedicated to imparting knowledge and fostering the development of future professionals in the maritime industry. My tenure at Vietnam Maritime University has been marked by a commitment to excellence in education, where I have strived to cultivate a rich learning environment that nurtures both academic growth and practical skills. This journey has allowed me to engage with students, colleagues, and the maritime community, enriching my understanding of the field while also contributing to its advancement. Each day presents new opportunities to inspire and be inspired by the maritime leaders of tomorrow, and I look forward to continuing this journey of knowledge and discovery. 🌊📚

Research Achievements:

In a bid to safeguard marine ecosystems from the threats posed by biological organisms transported via ballast water, the International Maritime Organization established the International Convention on the Control and Management of Ballast Water and Ship Sediments in 2004. This convention has spurred significant research and development efforts, with UV radiation emerging as a promising method due to its effectiveness and alignment with convention requirements. However, the large capacity of UV reactors in ballast water treatment systems often necessitates multiple high-power UV lamps, leading to substantial energy consumption and costs. To address these challenges, this study focuses on the development of a controller for UV reactors in ship-based ballast water treatment systems. The aim is to optimize UV radiation control, thereby extending the lifespan of UV lamps, reducing energy consumption, and ensuring effective disinfection. Experimental findings from ship-based trials demonstrate the efficacy of the developed UV controller, highlighting its potential to enhance the efficiency and sustainability of ballast water treatment systems. 🚢🔬

Publications:

An analysis of available solutions for commercial vessels to comply with IMO strategy on low sulphur

  • Published in Energy in 2020 with 14 citations.

Distribution of oil spill response capability through considering probable incident, environmental sensitivity and geographical weather in Vietnamese waters

  • Published in Energy in 2018 with 6 citations.

Cooperative response to marine hazardous and noxious substances and oil spill incidents in the ASEAN region

  • Published in Energy in 2019 with 5 citations.

Negative refractive index-shaped lens antenna with straight line condition for wide angle beam scanning

  • Published in Energy in 2022 with 4 citations.

Caustics and beam steering calculations of negative refractive index lens antenna by the ray tracing method

  • Published in Energy in 2020 with 4 citations.

Sea navigation-based Thai Canal implication: an analysis of its effect on the Vietnamese maritime industry

  • Published in Energy in 2020 with 4 citations.