Mehdi Ghatee | Artificial Intelligence | Best Researcher Award

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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.

 

Yasin BEKTAŞ | Control Engineering | Best Researcher Award

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Dr. Yasin BEKTAŞ | Control Engineering | Best Researcher Award

Doctor Lecturer at Control Engineering, AKSARAY UNIVERSITY, Turkey

Turkey is a transcontinental country with a rich history, spanning multiple ancient civilizations. It is located mainly on the Anatolian Peninsula in Western Asia, with a smaller portion on the Balkan Peninsula in Southeast Europe. The country is bordered by eight countries and has a diverse cultural heritage. Modern-day Turkey is a democratic republic with a mixed economy, featuring industries such as textiles, automotive, electronics, and tourism. The capital is Ankara, while the largest city, Istanbul, is a major cultural and economic hub.

Professional Profiles:

Education:

Yasin Bektaş was born on October 3, 1982, in Sivas, Turkey. He completed his undergraduate education in Electrical Teacher at Marmara University from 2004 to 2008. He continued his education at Marmara University for his postgraduate studies in Electrical Teacher from 2008 to 2010. Later, Yasin pursued further education in Electrical Electronics Engineering at Selçuk University, starting in 2015 for his undergraduate degree. He completed his doctoral education in Electrical Electronics Engineering at Selçuk University from 2018 to 2023.

Experience:

Yasin Bektaş has a diverse range of professional experiences. He started his career as a Technical Teacher in October 2008, where he honed his skills in teaching and technical expertise. From July 2010 to 2013, he worked as a freelance Electrical Electronics Engineer, gaining practical experience in the field. In October 2013, Yasin transitioned to a lecturer role, where he shared his knowledge and expertise with students. Continuing his career progression, he became a Dr. Lecturer in October 2023, further solidifying his position as an expert in his field.

Skills:

Yasin Bektaş possesses a strong set of skills that contribute to his professional expertise. He is proficient in Microsoft Office, which includes Word, Excel, and PowerPoint, allowing him to efficiently create and manage documents, spreadsheets, and presentations. Additionally, his proficiency in AutoCAD enables him to design and draft technical drawings with precision. Yasin is also skilled in using Dialux, a software application for lighting design, which is essential in his field. Furthermore, his proficiency in CorelDRAW enhances his ability to create graphic designs and illustrations, adding a creative dimension to his skill set. Overall, Yasin’s diverse skill set makes him a versatile professional in the field of electrical electronics engineering.

Teaching:

Yasin Bektaş has a rich background in teaching, starting with his role as a Technical Teacher from October 2008 to 2010. During this time, he provided valuable instruction and guidance to students, helping them develop their technical skills. Following this, Yasin served as a lecturer from October 2013 to 2023, where he continued to impart knowledge and expertise in the field of electrical electronics engineering. His teaching experience includes delivering lectures, conducting practical demonstrations, and evaluating student performance. Yasin’s commitment to education is further evidenced by his current position as a Dr. Lecturer, where he continues to inspire and educate the next generation of professionals in his field.

Publications:

  1. Brushless direct current (BLDC) motor driving experimental set
    • Y Bektas, NFO Serteller
    • 2011
    • Citations: 19
  2. Red deer algorithm based selective harmonic elimination for renewable energy application with unequal DC sources
    • Y Bektaş, H Karaca
    • 2022
    • Citations: 10
  3. FIRÇASIZ DA MOTORUN KONTROLÜNDE PWM VE HİSTERİSİZ BANT TEKNİĞİNİN KARŞILAŞTIRILMASI
    • Y Bektaş, NFO SERTELLER
    • 2010
    • Citations: 7
  4. Biyogaz Destekli Yenilenebilir Hibrid Sistemler İle Enerji Üretimi
    • Y Bektaş, M Gülmez
    • 2015
    • Citations: 5
  5. Red deer algorithm-based selective harmonic elimination technique for multilevel inverters
    • Y Bektaş, H Karaca, TA Taha, HI Zaynal
    • 2023
    • Citations: 4
  6. Speed estimation of brushless direct current (BLDC) motor with multilayer perceptron
    • NFO Serteller, Y Bektas, S Nogay, TC Akinci
    • 2012
    • Citations: 3
  7. Makine Öğrenmesi ve Optimizasyon Yöntemleri ile Uzun Dönem Elektrik Enerjisi Tahmini: Türkiye Örneği
    • ÖA KARAMAN, Y BEKTAŞ
    • 2023
    • Citations: 2
  8. Red deer algorithm based harmonic mitigation for asymmetric cascaded multilevel inverters
    • Y Bektaş, H Karaca
    • 2022
    • Citations: 2
  9. YOL AYDINLATMASI TESİSATLARINDA KLASİK YÖNTEM İLE BİLGİSAYAR DESTEKLİ YÖNTEMİN KARŞILAŞTIRILMASI
    • Y BEKTAŞ, M DURSUN, T DİNDAR, HH KARACA
    • 2018
    • Citations: 2
  10. Fırçasız doğru akım Motoru (Fsdam) Ve sürücü Devresi eğitim Seti Analizi geliştirilmesi Ve Motorun Bilgisayar ortamında Incelenmesi
    • Y Bektaş
    • 2011
    • Citations: 2

 

Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

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Assoc Prof Dr. Tomás Mateo Sanguino | Mechatronics | Best Researcher Award

Profesor Titular de Universidad at Mechatronics, Universidad de Huelva, Spain

Dr. Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, and holds a Master’s Degree in University Teaching, along with a PhD in Systems Engineering and Automatics from UHU. He has been actively involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). He also contributed to a specific project at the Higher Council for Scientific Research (CSIC) in 2003/04. Dr. Sanguino was a member of the research group “Robotic and High Energy Astrophysics” (TIC-189) as part of the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently affiliated with the research group “Control and Robotics” (TEP192). Additionally, he founded the Spin-off company “OnuRobotics” between 2009 and 2012, which received awards from the Ministry of Innovation and Science (CICE) of the Andalusian Government and the “Creara” training plan (50K Companies).

Professional Profiles:

Education:

Tomás Mateo Sanguino holds a Ph.D. from the University of Huelva, which he obtained in 2010. Prior to his doctoral studies, he completed a Master’s in University Teaching at the University of Huelva in 2008. His academic journey began with a degree in Electronics Engineering from the University of Granada in 2001.

Research Projects:

V Jornadas ScienCity 2022 – Fomento de la Cultura Científica, Tecnológica y de Innovación en Ciudades Inteligentes, Funding body: FECYT, Junta de Andalucía, Universidad de Huelva, Cátedra de Innovación Social de Aguas de Huelva, Cátedra de la Provincia. Date: 01/12/2021 – 30/06/2023. Principal investigator: T.J. Mateo Sanguino. Total amount: 14,000 €.Improving Road Safety Using Photoluminescent Signage and Fog Computing, Funding body: Junta de Andalucía – Programa de Ayudas a la I+D+i en el Ámbito del Plan Andaluz de Investigación, Desarrollo e Innovación (PAIDI 2020). Participating entities: Universidad de Huelva, Universidad de Algarve (Portugal), Instituto Politécnico de Beja (Portugal). Date: 30 months. Principal investigator: T.J. Mateo Sanguino. Total.

Patents:

Dr. Tomás Mateo Sanguino is an Industrial Technical Engineer (specializing in Electronics), an Electronic Engineer, holds a Master’s Degree in University Teaching, and earned his Ph.D. in Systems Engineering and Automatics from the University of Huelva (UHU). He has been involved in research since 1998, working as a research fellow and freelancer at the National Institute of Aerospace Technology (INTA). In 2003/04, he was hired for a specific project or service at the Higher Council for Scientific Research (CSIC). Dr. Mateo Sanguino was part of the research group “Robotic and High Energy Astrophysics” (TIC-189) under the Andalusian Research Plan (PAI) of the Andalusian Government. Since 2004, he has been a teacher at the UHU and has served as the deputy director of the Department of Electronic Engineering, Computer Systems, and Automatics since 2014. He is currently a member of the research group “Control and Robotics” (TEP192) at UHU. Additionally, he was a founder of a Spin-off called “OnuRobotics” between 2009 and 2012, which received two prizes: one from the Ministry of Innovation and Science (CICE) of the Andalusian Government and another from the “Creara” training plan for 50K Companies.

Professional Experience:

Dr. Tomás Mateo Sanguino has held various significant roles throughout his career. He is currently the Director at the Virtual Teaching Service at the University of Huelva, a position he has held since July 11, 2021. Prior to this, he served as the Deputy Director at the Department of Electronic Engineering, Computer Systems, and Automatics, starting from October 1, 2014. Dr. Mateo Sanguino has been an Instructor of the CISCO Certified Networking Association (CCNA) program since 2007, receiving honors as an Advanced Level Instructor of Excellence from the Cisco Networking Academy in 2013, and honors as an Instructor after 10 Years of Service in 2018.

Achievements:

In his academic and research career, Dr. Mateo Sanguino has also been a member of the Research Commission of the Strategic Plan 2012-2015 and served as the Vice-Rector for Research at the University of Huelva from September 30, 2011. He completed a postdoctoral stay at École Polytechnique Fédérale de Lausanne (EPFL) in Lausanne, Switzerland, starting from June 1, 2011, with a duration of 3.5 months, focusing on the research theme of an augmented reality interface for a telepresence robot. Additionally, he received the CICE award granted by the Ministry of Innovation and Science of the Andalusian Government, totaling 3000 €, and enrollment in the ‘Creara’ entrepreneur program (Business 50 K), totaling 2000 €, in 2008.

Publications:

  1. Localization and broadband follow-up of the gravitational-wave transient GW150914
    • Authors: BP Abbott, R Abbott, TD Abbott, MR Abernathy, F Acernese, K Ackley, …
    • Journal: The Astrophysical Journal Letters
    • Volume: 826
    • Issue: 1
    • Pages: L13
    • Citations: 295
    • Year: 2016
  2. The burst observer and optical transient exploring system (BOOTES)
    • Authors: AJ Castro-Tirado, J Soldán, M Bernas, P Páta, T Rezek, R Hudec, …
    • Journal: Astronomy and Astrophysics Supplement Series
    • Volume: 138
    • Issue: 3
    • Pages: 583-585
    • Citations: 110
    • Year: 1999
  3. Diseño de laboratorios virtuales y/o remotos. Un caso práctico
    • Authors: JMA Márquez, TJM Sanguino
    • Journal: Revista Iberoamericana de Automática e Informática Industrial RIAI
    • Volume: 7
    • Issue: 1
    • Pages: 64-72
    • Citations: 88
    • Year: 2010
  4. GRB 050509b: the elusive optical/nIR/mm afterglow of a short-duration GRB
    • Authors: AJ Castro-Tirado, A de Ugarte Postigo, J Gorosabel, T Fathkullin, …
    • Journal: Astronomy and Astrophysics
    • Volume: 439
    • Issue: 2
    • Pages: 15-18
    • Citations: 77
    • Year: 2005
  5. Review on v2x, i2x, and p2x communications and their applications: a comprehensive analysis over time
    • Authors: JM Lozano Dominguez, TJ Mateo Sanguino
    • Journal: Sensors
    • Volume: 19
    • Issue: 12
    • Pages: 2756
    • Citations: 76
    • Year: 2019
  6. The development of the Spanish Fireball Network using a new all-sky CCD system
    • Authors: JM Trigo-Rodríguez, AJ Castro-Tirado, J Llorca, J Fabregat, VJ Martínez, …
    • Journal: Earth, Moon, and Planets
    • Volume: 95
    • Issue: 1
    • Pages: 553-567
    • Citations: 68
    • Year: 2004
  7. 50 years of rovers for planetary exploration: A retrospective review for future directions
    • Author: TJ Mateo Sanguino
    • Journal: Robotics and Autonomous Systems
    • Volume: 94
    • Pages: 172-185
    • Citations: 65
    • Year: 2017
  8. Building the BOOTES world-wide Network of Robotic telescopes
    • Authors: AJ Castro-Tirado, M Jelínek, J Gorosabel, P Kubánek, R Cunniffe, S Guziy, …
    • Conference: Astronomical Society of India Conference Series
    • Volume: 7
    • Pages: 313-320
    • Citations: 60
    • Year: 2012
  9. RTS2 — Remote Telescope System, 2nd Version
    • Authors: P Kubánek, M Jelínek, M Nekola, M Topinka, J Štrobl, R Hudec, …
    • Journal: AIP Conference Proceedings
    • Volume: 727
    • Issue: 1
    • Pages: 753-756
    • Citations: 60
    • Year: 2004
  10. Smart Host Microcontroller for Optimal Battery Charging in a Solar-Powered Robotic Vehicle
    • Authors: TJ Mateo Sanguino, JE Gonzalez Ramos
    • Journal: IEEE-ASME Transactions on Mechatronics
    • Volume: 18
    • Issue: 3
    • Pages: 1039-1049
    • Citations: 44
    • Year: 2013

 

Mr. Sairoel Finecomess | Optimization of Mobile Robot | Best Researcher Award

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Mr. Sairoel Finecomess | Optimization of Mobile Robot | Best Researcher Award

PHD candidate student at Optimization of Mobile Robot, Peter the great saint peterburg polytechnic university, Ethiopia

👨‍🎓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:

Background:

Felipe is interested in mechatronics engineering, an interdisciplinary field combining mechanical, electrical, and computer engineering. He was born in Mizan Aman, Ethiopia, on August 30, 1990. For his education, he attended Mizan 2 and Mizan 1 for elementary and primary education from 2002 to 2010. From 2011 to 2013, he attended Mizan Aman High School and Addis Ababa Bright Future for his high school education. Felipe holds a five-year Bachelor of Science degree in Electromechanical (Mechatronics) Engineering from Hawassa University, obtained in 2016, and a Master of Science degree in Mechatronics Engineering from Addis Ababa Science and Technology University, earned in 2019. Currently, Felipe is a doctoral candidate at Peter the Great Saint Petersburg Polytechnic University in Saint Petersburg, Russia. 📚

Work Experience:

Felipe worked as an Assistant Lecturer from October 20, 2016, to October 25, 2017, and as a Lecturer from October 10, 2019, to October 15, 2022, at Mizan Tepi University, Tepi, Ethiopia. 🏫

Personal Skills:

Felipe is fluent in English and has conducted research and peer review work in science. 🌍

Recent Work:

Felipe’s recent work includes optimizing the performance of wheeled mobile robots for use in agriculture, utilizing an Internet of Things (IoT) device for intelligent control in agriculture, hybridized renewable energy for smart vehicle-to-grid (V2G) systems, assessing smart mechatronics applications in agriculture, optimizing automobile active suspension systems, analyzing a coffee husk fired cogeneration plant in South Western Ethiopia coffee processing industries, and designing a fuzzy-based proportional-integral-derivative controller for elbow-forearm rehabilitation robots. 🤖

Publications:

  • Analysis of a coffee husk fired cogeneration plant in South Western Ethiopia coffee processing industries
    • Authors: S Amertet, Y Mitiku, G Belete
    • Year: 2021
    • Citations: 11
    • Journal: Low Carbon Economy 12 (1), 42-62
  • Quarter car active suspension system design using optimal and robust control method
    • Author: M Jibril
    • Year: 2020
    • Citations: 10
  • Optimization of automobile active suspension system using minimal order
    • Authors: SA Finecomes, FL Gebre, AM Mesene, S Abebaw
    • Year: 2022
    • Citations: 3
    • Journal: International Journal of Electrical and Computer Engineering (IJECE) 12 (3)
  • Design of optimal linear quadratic regulator (LQR) control for full car active suspension system using reduced order
    • Author: S Amertet
    • Year: 2019
    • Citations: 3
    • Source: National Academic Digital Repository of Ethiopia
  • Assessment of Smart Mechatronics Applications in Agriculture: A Review
    • Authors: S Amertet, G Gebresenbet, HM Alwan, KO Vladmirovna
    • Year: 2023
    • Citations: 2
    • Journal: Applied Science 13 (7315), 20
  • Position control of a solenoid based linearly movable armature system using robust control technique
    • Authors: M Jibril, M Tadese, E Alemayehu
    • Year: 2020
    • Citations: 2
  • Modelling Design and Control of an Electromechanical Mass Lifting System using Optimal and Robust control Method
    • Authors: M Jibril, M Tadese, E Alemayehu
    • Year: 2020
    • Citations: 2
  • Design and analysis of fuzzy based proportional-integral-derivative controller for elbow-forearm rehabilitation robot
    • Authors: A Addisie, R Weldegiorgis, S Amertet
    • Year: 2020
    • Citations: 1
    • Journal: International Journal of Image, Graphics and Signal Processing 12 (4), 47-63
  • Optimizing the performance of a wheeled mobile robots for use in agriculture using a linear-quadratic regulator
    • Authors: S Amertet, G Gebresenbet, HM Alwan
    • Year: 2024
    • Source: Robotics and Autonomous Systems, 104642
  • Utilizing an Internet of Things (IoT) Device, Intelligent Control Design, and Simulation for an Agricultural System
    • Authors: HMA Sairoel Amertet Finecomess, Girma Gebresenbet
    • Year: 2024
    • Journal: Internet of Things 5 (1), 21

 

 

Assist Prof Dr. Weon Keun Song | Control Engineering | Best Research Award

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Assist Prof Dr. Weon Keun Song | Control Engineering | Best Research Award

Assist Prof at Control Engineering, King Mongkut’s Institute of Technology Ladkrabang, Thailand

👨‍🎓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:

Dr. Weon Keun Song completed his academic degrees in mechanical and civil engineering as follows:

  • In 1998, he obtained his Ph.D. in Mechanical Engineering from Moscow State Technical University named after Bauman (MSTU) in Moscow.
  • In 1995, he earned a Master of Science degree in Mechanical Engineering, also from MSTU in Moscow.
  • In 1991, Dr. Song received his Bachelor of Science degree in Civil Engineering from Yonsei University in Seoul.

Experience:

Dr. Weon Keun Song has a diverse professional background: 🏫 Since 2021, he has been serving as an Assistant Professor in the Department of RAI Engineering at the School of Engineering, King Mongkut’s Institute of Technology Ladkrabang. 🎓 From 2019 to 2021, Dr. Song worked as a Full-Time Lecturer at SIIE, School of Engineering, King Mongkut’s Institute of Technology Ladkrabang. 🔧 In the period from 2016 to 2019, he was a Visiting Professor in Mechatronics at the Asian Institute of Technology. 📚 During 2013 to 2014, Dr. Song worked as a Math & Physics Teacher at the Waldorf School. 💼 From 2009 to 2012, he was involved in Private Business. 🔬 Prior to that, from 1999 to 2008, Dr. Song served as a Senior Engineer and Project Manager at Korea Infrastructure Safety & Technology Corp. (KISTEC)

Academic Achievements:

Dr. Weon Keun Song has an impressive academic track record, having published 17 papers in international journals. He has extensive research experience and instructional knowledge in nonlinear dynamics and the intelligent control of nonlinear systems, gained through his work at the Artificial Intelligence Laboratory he established at KMITL. His recent research has focused on forward and inverse problems using physics-informed neural networks. Additionally, Dr. Song has a keen interest in multimodal analysis, particularly in the fusion of audio and image data. Since 2018, he has been serving as an Associate Editor for the International Journal of Future Trends in Engineering and Science, contributing to the academic community through editorial responsibilities.

Administration:

◦ Drew up research projects.
◦ Preparing technical reports and documentation.
◦ Arranging international research institutes, and prepared documents for cooperation and exchange of personnel between KISTEC and the institutes.

Teaching:

◦ Differential equations.
◦ Linear algebra.
◦ Advanced calculus.
◦ Dynamics.
◦ Nonlinear cable dynamics
◦ Kinematics and dynamics (robotics).
◦ Artificial intelligence and technology

Award & Honors:

▪ 2005, Outstanding paper award by Computational Structural Engineering Institute of Korea.
▪ 2004, Distinguished service award by Ministry of Government Administration and Home Affairs.
▪ 2002, Outstanding paper award by Korea Institute of Structural Maintenance and Inspection.
▪ 2002, Distinguished service award by President of KISTEC.

 

Ms. Mohaddeseh Koosha | Artificial Intelligence | Best Researcher Award

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Ms. Mohaddeseh Koosha : Leading Researcher in Artificial Intelligence

PhD Student at Artificial Intelligence, Amirkabir University of Technology, Iran

She 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.

🔬 She 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:

Ms. Mohaddeseh Koosha is an expert in signal and image processing with a passion for extracting features from natural patterns. She enjoys applying evolutionary algorithms to solve regression and classification problems and has a keen interest in studying scientific papers for new ideas. Ms. Koosha holds a Master’s degree in Electronics from Sharif University of Technology and is currently completing her Ph.D. in Computer Engineering with a focus on Artificial Intelligence at Amirkabir University of Technology. While she initially worked in electrical engineering, specifically in microelectronics and VHDL, she transitioned her focus to Artificial Intelligence eight years ago. Ms. Koosha has published in high-impact journals such as Knowledge-Based Systems (Elsevier) and IET Image Processing, as well as in conference publications. She has served as a peer-reviewer for IET Image Processing and has collaborated with Professor Mohammad Mehdi Ebadzadeh on Genetic Programming within the field of Evolutionary Algorithms. Throughout her career, Ms. Koosha has successfully completed several engineering projects for various companies, showcasing her expertise and practical skills in the field.

Research, Innovations and Extension:

Ms. Mohaddeseh Koosha has completed 12 research projects and has ongoing research activities. She has a citation index of 12 in Scopus/Web of Science or PubMed/Indian Citation Index. Additionally, she has been involved in 8 consultancy and industry-sponsored projects. Ms. Koosha has published 2 books with ISBN (text, reference, chapters, and conference proceedings) and has a cumulative project cost of USD/INR 30,000. She has published patents and has 2 journals indexed in SCI and SCIE. She has also held editorial appointments in journals/conferences and has 2 publications in Scopus, Web of Science, and PubMed indexes. Furthermore, she has a notable H-index based on Scopus/Web of Science, has organized research conferences/workshops, and has been involved in collaborative activities and received numerous awards and recognition. Ms. Koosha is a member of professional bodies and has functional MoUs with other universities/industries/corporates.

Research & Development:

👩‍🔬 Ms. Mohaddeseh Koosha is currently focusing on using artificial intelligence in developing biometric research, particularly in extracting biometric features from face and eyes. She is also using probabilistic genetic programming to resolve regression problems, such as making predictions from data gathered from CT Scan devices and making pollution condition forecasts. Additionally, she is enthusiastic about gathering healthcare-relevant features and observing their influence on life expectancy.