SeungHyun Lee | Plastic Pollution | Best Researcher Award

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Mr.SeungHyun Lee | Plastic Pollution | Best Researcher Award

Researcher | KOREA RESEARCH INSTITUTE OF SHIPS& OCEAN ENGINEERING | South Korea

SeungHyun Lee is a Principal Engineer at the Korea Research Institute of Shipbuilding and Ocean Engineering (KRISO), specifically in the Maritime Safety and Environment Research Center. With over 30 years of experience in marine safety and environmental research, he has made significant contributions to reducing marine plastic waste and enhancing maritime safety.

Profile

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Education 🎓

SeungHyun Lee received his Ph.D. from Hanbat University in 2017. His academic journey has equipped him with extensive knowledge and skills in marine safety and environmental research.

Experience 🏢

SeungHyun Lee has been a dedicated researcher and Principal Engineer at KRISO for three decades. His work primarily focuses on marine safety and environmental preservation, contributing to significant projects aimed at reducing marine plastics and improving maritime safety.

Research Interests 🔬 

Research Interests: Marine safety and environmental research, with a specific focus on developing estimation models for marine plastic waste inflow and innovative methods for marine garbage collection.

Awards 🏆

SeungHyun Lee is a nominee for the Best Researcher Award, recognizing his outstanding contributions to marine safety and environmental research.

Publications 📚

  1. Estimating the Temporal Impacts of Nearshore Fisheries on Coastal Ocean-Sourced Waste Accumulation in South Korea Using Stepwise Regression
    Published in SUSTAINABILITY
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    Cited by numerous articles in marine pollution research.
  2. Estimating the Amount of Submerged Marine Debris Based on Fishing Vessels Using Multiple Regression Model
    Published in SUSTAINABILITY
    Read the article
    Frequently cited in studies on marine debris assessment.
  3. Assessment of Marine Debris on Hard-to-Reach Places Using Unmanned Aerial Vehicles and Segmentation Models Based on a Deep Learning Approach
    Published in SUSTAINABILITY
    Read the article
    A key reference in UAV-based marine debris research.
  4. A Comparative Study of Deep Learning-Based Network Model and Conventional Method to Assess Beach Debris Standing-Stock
    Published in MARINE POLLUTION BULLETIN
    Read the article
    Widely cited in comparative studies of marine debris assessment methods.

Ali Abdulwahhab | Renewable Energy | Best Researcher Award

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Dr.Ali Abdulwahhab | Renewable Energy | Best Researcher Award

PhD Candidate | Altinbas University | Turkey

Ali H. Abdulwahhab is a dedicated researcher and scholar in Electrical and Computer Engineering, specializing in Brain-Computer Interface (BCI) systems, EEG signal processing, image processing, and signal processing. He is currently pursuing a Ph.D. at Altinbas University in Istanbul, Turkey. 🌍

Profile

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Education

Ali holds a B.Sc. in Electrical Engineering from Mustansiriyah University, Baghdad, Iraq. He completed his M.Sc. in Electrical – Electronics Engineering from Istanbul Gelisim University, Istanbul, Turkey. Currently, he is pursuing a Ph.D. in Electrical – Computer Engineering at Altinbas University, Istanbul, Turkey. 🎓📚

Experience

Throughout his academic and professional journey, Ali has engaged in various research projects and publications, focusing on innovative technologies in electrical and computer engineering. His expertise includes developing BCI systems and improving algorithms for EEG-based applications. 🏢🔍

Research Interest

Ali’s research interests encompass the development of BCI systems using EEG signals, control systems based on BCI, image processing, and signal processing. He aims to advance the understanding and applications of these technologies in various fields. 🌐🔬

Award

While specific awards are not listed, Ali’s contributions to his field are evident through his numerous publications and active involvement in peer reviews for various prestigious journals. 🌟🏆

Publications

Ali has authored several influential research papers in notable journals. Here are a few of his key publications:

  1. A Review on Medical Image Applications Based on Deep Learning Techniques
    • Authors: Ali H. Abdulwahhab, Noof T. Mahmood, Ali Abdulwahhab Mohammed, Indrit Myderrizi, and Mustafa Hamid Al-Jumaili
    • Journal: Journal of Image and Graphics, 2024
    • DOI: 10.18178/joig.12.3.215-227
  2. Analysis of Potential 5G Transmission Methods Concerning Bit Error Rate
    • Authors: Mohammed, Ali Abdulwahhab, and Ali H. Abdulwahhab
    • Journal: AEU-International Journal of Electronics and Communications, 2024
    • DOI: 10.1016/j.aeue.2024.155407
  3. Detection of Epileptic Seizure Using EEG Signals Analysis Based on Deep Learning Techniques
  4. Drone Movement Control by Electroencephalography Signals Based on BCI System
    • Authors: Abdulwahhab, Ali Hussein, Indrit Myderrizi, and Musaria Karim Mahmood
    • Journal: Advances in Electrical and Electronic Engineering, 2022
    • DOI: 10.15598/aeee.v20i2.4413
  5. Handoff Performance Evaluation Based on RSS Measurement and Threshold Distance
    • Authors: Abdulwahhab, Ali H., Ali Abdulwahhab Mohammed, and Gang Su
    • Journal: International Journal of Computer Applications, 2021
    • DOI: 10.5120/ijca2021921630
  6. Improved Algorithm for EEG-Based BCI Application
    • Authors: Abdulwahhab, Ali Hussein Abdulwahhab
    • Institution: Istanbul Gelişim Üniversitesi Lisansüstü Eğitim Enstitüsü, MS thesis, 2021
  7. Fusing Stereo Images into Its Equivalent Cyclopean View
    • Authors: Abdulwahhab, Ali H., et al.
    • Journal: EPH – International Journal of Science And Engineering, 2019
    • DOI: 10.5281/zenodo.5683534