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

Google Scholar 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.

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.

Dr. Jad Jaber | Technostress | Best Researcher Award

Professor at Technostress, Lebanese American University, Lebanon

Jad Jaber is an accomplished professional with a strong background in academia and leadership. Their educational journey includes a Ph.D. in Management from ESC Rennes School of Business, France, where they graduated with a Grade A. They also hold a Master’s in Management from Bradford University School of Management, United Kingdom, with a Grade of Distinction. Jad’s career highlights include serving as a Professor at various prestigious universities, including the Lebanese American University, American University of Beirut, Beirut Arab University, and ESC Rennes School of Business. They have also worked as a Consultant to the President of Casino Du Liban, leading projects to renew the casino’s license and working on major Deloitte projects. Throughout their career, Jad has received several awards and recognitions, including Manager of the Year at Global Finance 4 Investment Co., Best Student Award at ESC Rennes School of Business, and the President’s Award at Casino Du Liban. Jad is known for their exceptional skills in adaptability, leadership, communication, teaching, curriculum development, research, student mentorship, technology integration, and critical thinking. Their contributions to academia and the professional world have made them a respected figure in their field.

Professional Profiles:

Experience:

“Professor at the Lebanese American University since January 2020, teaching Management Theory and Strategic Management to MBA and Senior students. Concurrently, a Professor at the American University of Beirut since January 2020, focusing on teaching Strategic Management to Senior students. Additionally, serving as a Professor at Beirut Arab University since January 2020, specializing in teaching Introduction to Management and Human Resource Management to PhD students. Previously, as a Professor at ESC Rennes School of Business from January 2019 to December 2019, taught Leadership Management, Introduction to Marketing, Introduction to Management, and Fundamentals of Management 2 to Masters students. Also, served as a Consultant to the President at Casino Du Liban from June 2019 to June 2020, leading the project to renew the casino’s license with the government and collaborating on major Deloitte Projects, including feasibility studies and financial and economical projects with the Lebanese prime minister to facilitate obtaining the governmental license.”

Education:

Jad Jaber pursued a Ph.D. in Management at ESC Rennes School of Business, France, from January 2016 to January 2020, achieving a Grade A. He also completed a Masters in Management at Bradford University School of Management, United Kingdom, from January 2013 to June 2018, with a Grade of Distinction. In terms of internships, Jad Jaber worked as an intern at the United Nations Development Program in Beirut from January 2006 to December 2006. During this time, he served as an English writer, demonstrating expertise in IT, and contributed to impactful projects that combined language proficiency with technical knowledge.

Award & Recognitions:

Jad Jaber has been recognized with several prestigious awards, including Manager of the Year at Global Finance 4 Investment Co. for their outstanding leadership and performance. They also received the Best Student Award from ESC Rennes School of Business, acknowledging their academic excellence and dedication. Additionally, Jad was honored with the President’s Award from Casino Du Liban for their exceptional contributions and achievements.

Skills:

Jad Jaber possesses a diverse set of skills essential for academia and professional growth. Their adaptability allows them to navigate various challenges and environments effectively. Their strong leadership skills enable them to inspire and guide others towards success. With excellent communication skills, they can convey complex ideas clearly and concisely. Jad’s teaching excellence is evident in their ability to engage students and facilitate meaningful learning experiences. They excel in curriculum development, ensuring that educational programs are relevant and impactful. Their research and publications demonstrate their expertise in their field, contributing valuable insights to the academic community. Jad is also a dedicated student mentor, providing guidance and support to help students achieve their goals. Their proficiency in technology integration enhances teaching and learning processes. With a focus on critical thinking, Jad approaches problems analytically and innovatively.

Mehdi Ghatee | Artificial Intelligence | Best Researcher Award