Dr. Alejandro Medina Santiago | Machine Learning | Best Researcher Award

Dr. Alejandro Medina Santiago | Machine Learning | Best Researcher Award

Doctorate at Institute National of Astrophysics, Optics and Electronics, Mexico

👨‍🎓 Profiles

Scopus

Orcid

Publications

TurboPixels: A Superpixel Segmentation Algorithm Suitable for Real-Time Embedded Applications

  • Authors: Aguilar-González, A., Medina Santiago, A., Orozco Torres, J.A., Pérez Patricio, M., Morales-Navarro, N.A.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2024

Object/Scene Recognition Based on a Directional Pixel Voting Descriptor

  • Authors: Aguilar-González, A., Medina Santiago, A., Osuna-Coutiño, J.A.D.J.
  • Journal: Applied Sciences (Switzerland)
  • Year: 2024

Multilayer Fuzzy Inference System for Predicting the Risk of Dropping out of School at the High School Level

  • Authors: Antonio Orozco Torres, J., Santiago, A.M., Manuel Villegas Izaguirre, J., Amador Garcia, M., Falconi Alejandro, G.
  • Journal: IEEE Access
  • Year: 2024

Fault Diagnosis for Takagi-Sugeno Model Wind Turbine Pitch System

  • Authors: Rodriguez, J.I.B., Hernandez-De-Leon, H.R., Marin, J.A., Zapata, B.Y.L., Guzman-Rabasa, J.A.
  • Journal: IEEE Access
  • Year: 2024

Hypertension Diagnosis with Backpropagation Neural Networks for Sustainability in Public Health

  • Authors: Orozco Torres, J.A., Medina Santiago, A., Villegas Izaguirre, J.M., Amador García, M., Delgado Hernández, A.
  • Journal: Sensors
  • Year: 2022

Dr. Zari Farhadi | Deep Learning | Best Researcher Award

Dr. Zari Farhadi | Deep Learning | Best Researcher Award

Doctorate at University of Tabriz, Iran

👨‍🎓 Profiles

Orcid

Google Scholar

Publications

Improving random forest algorithm by selecting appropriate penalized method

  • Authors: Zari Farhadi, Hossein Bevrani, Mohammad-Reza Feizi-Derakhshi
  • Journal: Communications in Statistics-Simulation and Computation
  • Year: 2024

ERDeR: The combination of statistical shrinkage methods and ensemble approaches to improve the performance of deep regression

  • Authors: Zari Farhadi, Mohammad-Reza Feizi-Derakhshi, Hossein Bevrani, Wonjoon Kim, Muhammad Fazal Ijaz
  • Journal: IEEE Access
  • Year: 2024

ADeFS: A Deep Forest Regression-Based Model to Enhance the Performance Based on LASSO and Elastic Net

  • Authors: Zari Farhadi, Mohammad-Reza Feizi-Derakhshi, Israa Khalaf Salman Al-Tameemi, Wonjoon Kim
  • Journal: Mathematics
  • Year: 2024

Corrections to “ERDeR: The Combination of Statistical Shrinkage Methods and Ensemble Approaches to Improve the Performance of Deep Regression”

  • Authors: Zari Farhadi, Mohammad-Reza Feizi-Derakhshi, Hossein Bevrani, Wonjoon Kim, Muhammad Fazal Ijaz
  • Journal: IEEE Access
  • Year: 2024

An Ensemble-based Model for Sentiment Analysis of Persian Comments on Instagram Using Deep Learning algorithms

  • Authors: Soheyla Eyvazi-Abdoljabbar, SeongKi Kim, Mohammad-Reza Feizi-Derakhshi, Zari Farhadi, Dheyaa Abdulameer Mohammed
  • Journal: IEEE Access
  • Year: 2024

Dr. Youjie Li | Deep Learning | Best Researcher Award

Dr. Youjie Li | Deep Learning | Best Researcher Award

Doctorate at Kunming University of Science and Technology, China

👨‍🎓 Profiles

Scopus

Publications

A novel nonlinear direct-mapping approach for multiple time scale driving force analysis of surface water quality variations under intense human interference

  • Authors: Wang, Y., Cai, Y., Li, B., Li, Y., Zhao, S.
  • Journal: Journal of Environmental Management
  • Year: 2024

An intelligently adjusted carbon price forecasting approach based on breakpoints segmentation, feature selection and adaptive machine learning

  • Authors: Zhao, S., Wang, Y., Deng, G., Chen, Z., Li, Y.
  • Journal: Applied Soft Computing
  • Year: 2023

A carbon price hybrid forecasting model based on data multi-scale decomposition and machine learning

  • Authors: Yang, P., Wang, Y., Zhao, S., Chen, Z., Li, Y.
  • Journal: Environmental Science and Pollution Research
  • Year: 2023

Ms. Hyun Ju Kim | Deep Learning | Best Researcher Award

Ms. Hyun Ju Kim | Deep Learning | Best Researcher Award

Hyun Ju Kim at Pukyong National University, South Korea

👨‍🎓 Profiles

Orcid

Publications

A Data-Driven Approach to Analyzing Fuel-Switching Behavior and Predictive Modeling of Liquefied Natural Gas and Low Sulfur Fuel Oil Consumption in Dual-Fuel Vessels

  • Author: Hyunju Kim, Sangbong Lee, Jihwan Lee, Donghyun Kim
  • Journal: Journal of Marine Science and Engineering
  • Year: 2024

Development of a Carbon Emission Prediction Model for Bulk Carrier Based on EEDI Guidelines and Factor Interpretation Using SHAP

  • Authors: Hyunju Kim, Byeongseok Yu, Donghyun Kim
  • Journal: International Journal of Advanced Smart Convergence
  • Year: 2024

Navigating Energy Efficiency: A Multifaceted Interpretability of Fuel Oil Consumption Prediction in Cargo Container Vessel Considering the Operational and Environmental Factors

  • Authors: Melia Putri Handayani, Hyunju Kim, Sangbong Lee, Jihwan Lee
  • Journal: Journal of Marine Science and Engineering
  • Year: 2023

Anomaly Detection and Root Cause Analysis of Ship Main Engines: Explainable Artificial Intelligence-Based Methodology Considering Internal Sensors and External Environmental Factors

  • Authors: Mingyu Park, Hyunjoo Kim, Sangbong Lee, Jihwan Lee
  • Journal: Journal of the Korean Institute of Industrial Engineers
  • Year: 2023

A Study on the Prediction of Fuel Consumption of Bulk Ship Main Engine Using Explainable Artificial Intelligence

  • Authors: Hyun-Ju Kim, Min-Gyu Park, Ji-Hwan Lee
  • Journal: Journal of Navigation and Port Research
  • Year: 2023

Dr. Bader Alsharif | Deep Learning | Best Researcher Award

Dr. Bader Alsharif | Deep Learning | Best Researcher Award

Doctorate at Florida Atlantic University, United States

👨‍🎓 Profiles

Orcid

Google Scholar

Publications

Enhancing cybersecurity in healthcare: Evaluating ensemble learning models for intrusion detection in the internet of medical things

  • Authors: Theyab Alsolami, Bader Alsharif, Mohammad Ilyas
  • Journal: Sensors
  • Year: 2024

Transfer learning with YOLOV8 for real-time recognition system of American Sign Language Alphabet

  • Authors: Bader Alsharif, Easa Alalwany, Mohammad Ilyas
  • Journal: Franklin Open
  • Year: 2024

Deep learning technology to recognize american sign language alphabet

  • Authors: Bader Alsharif, Ali Salem Altaher, Ahmed Altaher, Mohammad Ilyas, Easa Alalwany
  • Journal: Sensors
  • Year: 2023

Deep Learning Technology to Recognize American Sign Language Alphabet Using Mulit-Focus Image Fusion Technique

  • Authors: Bader Alsharif, Munid Alanazi, Ali Salem Altaher, Ahmed Altaher, Mohammad Ilyas
  • Year: 2023

Machine Learning Technology to Recognize American Sign Language Alphabet

  • Authors: Bader Alsharif, Munid Alanazi, Mohammad Ilyas
  • Year: 2023

Prof. Ying Wang | Deep Learning | Best Researcher Award

Prof. Ying Wang | Deep Learning | Best Researcher Award

Professor at Hunan Normal University, China

👨‍🎓 Profiles

Orcid

Publications

Performance of Minnesota Functionals on Vibrational Frequency

  • Authors: Jiaxu Wang, Cheng Zhang, Yaqi Li, Yini Zhou, Yuanyuan Shu, Songping Liang, Gaihua Zhang, Zhonghua Liu, Ying Wang
  • Journal: International Journal of Quantum Chemistry
  • Year: 2024

Discovery of potential antidiabetic peptides using deep learning

  • Authors: Jianda Yue, Jiawei Xu, Tingting Li, Yaqi Li, Zihui Chen, Songping Liang, Zhonghua Liu, Ying Wang
  • Journal: Computers in Biology and Medicine
  • Year: 2024

ToxMPNN: A deep learning model for small molecule toxicity prediction

  • Authors: Yini Zhou, Chao Ning, Yijun Tan, Yaqi Li, Jiaxu Wang, Yuanyuan Shu, Songping Liang, Zhonghua Liu, Ying Wang
  • Journal: Journal of Applied Toxicology
  • Year: 2024

Discovery of the Inhibitor Targeting the SLC7A11/xCT Axis through In Silico and In Vitro Experiments

  • Authors: Jianda Yue, Yekui Yin, Xujun Feng, Jiawei Xu, Yaqi Li, Tingting Li, Songping Liang, Xiao He, Zhonghua Liu, Ying Wang
  • Journal: International Journal of Molecular Sciences
  • Year: 2024

Performance of Screened-Exchange Functionals for Band Gaps and Lattice Constants of Crystals

  • Authors: Cheng Zhang, Pragya Verma, Jiaxu Wang, Yiwei Liu, Xiao He, Ying Wang, Donald G. Truhlar, Zhonghua Liu
  • Journal: Journal of Chemical Theory and Computation
  • Year: 2023

Ms. Mina Gachloo | Machine Learning | Best Researcher Award

Ms. Mina Gachloo | Machine Learning | Best Researcher Award

Mina Gachloo at university of North Carolina Wilmington, United States

Profiles

Scopus

Orcid

Google Scholar

Education:

Ms. Mina Gachloo is set to graduate with a Master's degree in Computer Science and Information Systems from the University of North Carolina Wilmington in December 2024, boasting a GPA of 3.8. Her research at UNCW, under the guidance of Dr. Yang Song, focuses on "Temporal Prediction of Coastal Water Quality Based on Environmental Factors with Deep Learning." Mina also holds a Bioinformatics Engineering degree from Huazhong Agricultural University in Wuhan, China, where she researched "Embedding of Cancer-Centric Entities and Knowledge Discovery." Additionally, she earned a B.Sc. in Information Technology from the University of Applied Science and Technology in Tehran, and an Associate’s degree in Information and Communication Technology from the University of Culture and Art in Tehran.

Professional Experience:

Ms. Mina has a diverse range of professional experiences. In 2023, she interned as a Data Analyst and Researcher at the UNCW Institutional Research Office, focusing on predicting the time-to-graduate for undergraduate students. As a Teaching and Research Assistant at UNCW, she conducted data cleaning, feature engineering, and implemented machine learning and deep learning models for predictive analysis. Prior to this, she worked as a Commercial Expert at Bam Khodro Company in Tehran, using SQL, Excel, and Python for data extraction, analysis, and report automation. Mina also served as a Financial Expert at Mellat Leasing Bank, facilitating loans and generating customer reports. Her career began in IT at KICCC in Tehran, specializing in Point of Sale devices and Business Intelligence.

Research Interest:

Ms. Mina's research interests include machine learning, deep learning, structure learning, data analysis, natural language processing, and computer vision. She has actively contributed to several projects, such as the construction of the Active Gene Annotation Corpus (AGAC) and the prediction of dissolved oxygen and salinity levels in the Neuse River Estuary using deep learning techniques.

Honors and Awards:

Ms. Mina's academic excellence has been recognized with multiple awards, including the Summer Research Stipend, Support for Undergraduate Research and Creativity Awards (SURCA), and CMS summer stipend at UNCW. She also received scholarships for her M.Sc. in Computer Science and Bioinformatics at Huazhong Agricultural University.

💡 Skills:

Ms. Mina is proficient in data preprocessing, machine learning, deep learning, natural language processing, and programming in Python and Java. She is skilled in using tools like Jupyter Notebook, Google Colab, Pycharm, IDLE, Microsoft Office, Pegasus, SQL, and Oracle.

 Publications:

Using Machine Learning Models for Short-Term Prediction of Dissolved Oxygen in a Microtidal Estuary
  • Authors: Mina Gachloo, Qianqian Liu, Yang Song, Guozhi Wang, Shuhao Zhang, Nathan Hall
  • Year: 2024
An overview of the active gene annotation corpus and the BioNLP OST 2019 AGAC track tasks
  • Authors: Yuxing Wang, Kaiyin Zhou, Mina Gachloo, Jingbo Xia
  • Year: 2019
A review of drug knowledge discovery using BioNLP and tensor or matrix decomposition
  • Authors: Mina Gachloo, Yuxing Wang, Jingbo Xia
  • Year: 2019
GOF/LOF knowledge inference with tensor decomposition in support of high order link discovery for gene, mutation and disease
  • Authors: Kai Yin Zhou, Yu Xing Wang, Sheng Zhang, Mina Gachloo, Jin Dong Kim, Qi Luo, Kevin Bretonnel Cohen, Jing Bo Xia
  • Year: 2019
An active gene annotation corpus and its application on anti-epilepsy drug discovery
  • Authors: Yuxing Wang, Kaiyin Zhou, Jin-Dong Kim, Kevin B Cohen, Mina Gachloo, Yuxin Ren, Shanghui Nie, Xuan Qin, Panzhong Lu, Jingbo Xia
  • Year: 2019

Mr. Nikolaos Argirusis | Machine Learning | Industry Impact Award

Mr. Nikolaos Argirusis, Machine Learning, Industry Impact Award

Nikolaos Argirusis at mat4nrg GmbH, Germany

Profiles

Scopus

Orcid

🎓Education:

Mr. Nikolaos Argirusis pursued his education at Ostfalia University of Applied Sciences, specializing in Energy Systems and Environmental Engineering, achieving a “Very Good” rating in his Master’s degree. Previously, he completed his Bachelor’s in Electrical and Information Technology at Ostfalia University, with a focus on Electromobility and Energy Technology. He also holds a Bachelor’s degree in Electrical Engineering from Technische Universität Braunschweig, specializing in Energy Technology.

💼 Work Experience:

Currently, Nikolaos serves as a Student Assistant at CZM – TU Clausthal, where he contributes to electronics development and plasma technology experiments. He also engages in a research project for mat4nrg GmbH, focusing on prototype development and project organization. As the Co-founder and Managing Director of mat4nrg GmbH, he oversees the management, supervision, and development of research and customer projects. Additionally, Nikolaos supports his family’s business, aeras GmbH, focusing on power electronics assembly.

🌐 Skills and Languages:

He possesses advanced skills in Microsoft Office, PSpice, and LTspice, with foundational knowledge in C++ and Java programming languages. Fluent in German and Greek, Nikolaos also communicates proficiently in English.

🎯 Interests:

Outside of academics and professional endeavors, Nikolaos enjoys swimming, team sports, and engaging in DIY projects, reflecting his diverse interests and active lifestyle.

📖 Publications:

Evaluation of the effectiveness and performance of environmental impact assessment studies in Greece
  • Authors:Papamichael, I., Tsiolaki, F., Stylianou, M., Argirusis, C., Zorpas, A.A.
  • Journal:Comptes Rendus Chimie
  • Year: 2023
End-of-Life Management and Recycling on PV Solar Energy Production
  • Authors:Papamichael, I., Voukkali, I., Jeguirim, M., Argirusis, C., Zorpas, A.A.
  • Journal: Energies
  • Year: 2022
Research Progress in Metal-Organic Framework Based Nanomaterials Applied in Battery Cathodes
  • Authors: Mechili, M., Vaitsis, C., Argirusis, N., Zorpas, A.A., Argirusis, C.
  • Journal: Energies
  • Year: 2022
Research progress in transition metal oxide based bifunctional electrocatalysts for aqueous electrically rechargeable zinc-air batteries
  • Authors: Mechili, M., Vaitsis, C., Argirusis, N., Sourkouni, G., Argirusis, C.
  • Journal: Renewable and Sustainable Energy Reviews
  • Year: 2022
MOF nanomaterials for battery cathodes
  • Authors: Vaitsis, C., Mechili, M., Pandis, P.K., Argirusis, N., Sourkouni, G.
  • Year: 2022