Prof. Yongil Kim | Remote Sensing | Best Paper Award

Prof. Yongil Kim | Remote Sensing | Best Paper Award

Professor at Seoul National University, South Korea

👨‍🎓 Profiles

Scopus

Publications

Unsupervised Image Super-Resolution for High-Resolution Satellite Imagery via Omnidirectional Real-to-Synthetic Domain Translation

  • Authors: Minkyung Chung, Yongil I. Kim
    Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    Year: 2025

Analysis of Urban Vitality in Democratic People’s Republic of Korea Using Geospatial Data and Nighttime Light Satellite Imagery

  • Authors: Yeseok Lee, Donghyeon Lee, Jiyong Kim, Yongil I. Kim
    Journal: Korean Journal of Remote Sensing
    Year: 2024

Optimal Hyperparameter Analysis of Segment Anything Model for Building Extraction Using KOMPSAT-3/3A Images

  • Authors: Donghyeon Lee, Jiyong Kim, Yongil I. Kim
    Journal: Korean Journal of Remote Sensing
    Year: 2024

Integrated Framework for Unsupervised Building Segmentation with Segment Anything Model-Based Pseudo-Labeling and Weakly Supervised Learning

  • Authors: Jiyong Kim, Yongil I. Kim
    Journal: Remote Sensing
    Year: 2024

High-Resolution Satellite Image Super-Resolution Using Image Degradation Model with MTF-Based Filters

  • Authors: Minkyung Chung, Minyoung Jung, Yongil I. Kim
    Journal: Korean Journal of Remote Sensing
    Year: 2023

Mr. Weixiong Dong | Seawater Desalination | Best Researcher Award

Publications

Based on PEG composite phase change material efficient of solar sustainable freshwater production

  • Author: Weixiong Dong, Xulei Cao, Haiyan Tao, Guihua Meng, Shuping Jia
    Journal: Journal of Industrial and Engineering Chemistry
    Year: 2025

Dr. Yijie Ning | Medical Image Analysis | Best Researcher Award

Dr. Yijie Ning | Medical Image Analysis | Best Researcher Award

Doctorate at the First Hospital of Shanxi Medical University, China

👨‍🎓 Profiles

Scopus

Publications

NIR-II imaging-based detection of early changes in lower limb perfusion in type 2 diabetes patients without peripheral artery disease

  • Author: Yijie Ning, Jie Hu, Yikun Zhu, Ruijing Zhang, Honglin Dong, et al.
    Journal: Diabetes Research and Clinical Practice
    Year: 2025

Ms. Houda EL Khachine | Machine Learning | Women Researcher Award

Ms. Houda EL Khachine | Machine Learning | Women Researcher Award

Abdelmalek Essaadi University, Morocco

👨‍🎓 Profiles

Scopus

Orcid

Publications

Analysis of Wind Speed Extrapolation and Wind Power Density Assessment in Tetuan City

  • Author: Houda El Khachine, Ouahabi Mohamed Hatim, Driss Taoukil
    Journal: Preprint
    Year: 2024

Improvement of Earth-to-Air Heat Exchanger Performance by Adding Cost-Efficient Soil

  • Author: Houda El Khachine, Mohamed Hatim Ouahabi, Driss Taoukil
    Journal: Energy Exploration & Exploitation
    Year: 2024

Aerodynamic Analysis of Wind Turbine Blade of NACA 0006 Using a CFD Approach

  • Author: Ouahabi M.H., El Khachine H., Benabdelouahab F.
    Journal: Lecture Notes in Electrical Engineering
    Year: 2022

Comparative Study of Five Different Methods of Adjustment by the Weibull Model to Determine the Most Accurate Method of Analyzing Annual Variations of Wind Energy in Tetouan – Morocco

  • Authors: Chika Maduabuchi, Chinedu Nsude, Chibuoke Eneh, Emmanuel Eke, Kingsley Okoli, Emmanuel Okpara, Christian Idogho, Bryan Waya, Catur Harsito
  • Journal: Energies
  • Year: 2023

Assoc Prof Dr. Mohsen Edalat | Machine Learning | Editorial Board Member

Publications

Species distribution modeling of Malva neglecta Wallr. weed using ten different machine learning algorithms: An approach to site-specific weed management (SSWM)

  • Authors: Emran Dastres, Hassan Esmaeili, Mohsen Edalat
  • Journal: European Journal of Agronomy
  • Year: 2025

Habitat Suitability Modeling of Dominant Weed in Rapeseed (Brassica napus) Fields Using Machine Learning Techniques

  • Authors: Emran Dastres, Ghazal Shafiee Sarvestani, Mohsen Edalat, Hamid Reza Pourghasemi
  • Journal: Weed Science
  • Year: 2025

Effects of burial in soil on seed longevity and germinability of the winter annual weed wild barley (Hordeum spontaneum)

  • Authors: Elham Nozarpour, Mohsen Edalat, Elias Soltani, Jerry Mack Baskin, Seyed Abdolreza Kazemeini
    Journal: Weed Biology and Management
    Y ear: 2024

Assist Prof Dr. Ateke Goshvarpour | Biomedical | Editorial Board Member

Cognitive-Inspired Spectral Spatiotemporal Analysis for Emotion Recognition Utilizing Electroencephalography Signals

  • Author: A. Goshvarpour, Ateke; A. Goshvarpour, Atefeh
    Journal: Cognitive Computation
    Year: 2025

Asymmetric measures of polar Chebyshev chaotic map for discrete/dimensional emotion recognition using PPG

  • Author: A. Goshvarpour, Ateke; A. Goshvarpour, Atefeh
    Journal: Biomedical Signal Processing and Control
    Year: 2025

A novel approach for afloat EEG channel selection and fusion: application in EEG schizophrenia detection

  • Author: A. Goshvarpour, Ateke; A. Goshvarpour, Atefeh
    Journal: Neuroscience and Behavioral Physiology
    Year: 2024

EEG emotion recognition based on an innovative information potential index

  • Author: A. Goshvarpour, Ateke; A. Goshvarpour, Atefeh
    Journal: Cognitive Neurodynamics
    Year: 2024

Lemniscate of Bernoulli’s map quantifiers: innovative measures for EEG emotion recognition

  • Author: A. Goshvarpour, Ateke; A. Goshvarpour, Atefeh
    Journal: Cognitive Neurodynamics
    Year: 2024

Prof. Krishan Kumar | Medical Image Analysis | Best Researcher Award

Publications

Enhancing Transparency and Trust in Brain Tumor Diagnosis: An In-Depth Analysis of Deep Learning and Explainable AI Techniques

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Preprint
    Year: 2025

Machine Learning for Brain Tumor Classification: Evaluating Feature Extraction and Algorithm Efficiency

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Discover Artificial Intelligence
    Year: 2024

Explainable AI in Brain Tumor Diagnosis: A Critical Review of ML and DL Techniques

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Preprint
    Year: 2024

Recent Advancements in Grad-CAM and Variants: Enhancing Brain Tumor Detection, Segmentation, and Classification

  • Authors: Krishan Kumar, Kiran Jyoti
    Journal: Preprint
    Year: 2024

A Comparative Analysis of Static and Dynamic Java Bytecode Watermarking Algorithms

  • Authors: Krishan Kumar, Prabhpreet Kaur
    Journal: Advances in Intelligent Systems and Computing
    Year: 2019

Prof Dr. Apostolia Maria Tsimberidou | Medical Oncology | Best Researcher Award

Publications

Convergence of evolving artificial intelligence and machine learning techniques in precision oncology

  • Author: E. Fountzilas, T.E. Pearce, M.A. Baysal, A. Chakraborty, A.M. Tsimberidou
    Journal: npj Digital Medicine
    Year: 2025

A phase 2 basket study of talabostat, a small-molecule inhibitor of dipeptidyl peptidases, administered in combination with pembrolizumab in patients with advanced solid cancers

  • Author: J. Ahmed, F. Janku, D.D. Karp, F. Meric-Bernstam, A. Naing
    Journal: Cancer
    Year: 2025

Correction to: Selinexor in combination with carboplatin and paclitaxel in patients with advanced solid tumors: results of a single-center, multi-arm phase Ib study

  • Author: K.Z. Thein, D.D. Karp, A.M. Tsimberidou, F. Meric-Bernstam, A. Naing
    Journal: Investigational New Drugs
    Year: 2025

Botensilimab (Fc-enhanced anti-cytotoxic lymphocyte-association protein-4 antibody) Plus Balstilimab (anti-PD-1 antibody) in Patients With Relapsed/Refractory Metastatic Sarcomas

  • Author: B.A. Wilky, G.K. Schwartz, M.S. Gordon, R.L. Jones, A.M. Tsimberidou
    Journal: Journal of Clinical Oncology
    Year: 2025

A multivariate Polya tree model for meta-analysis with event-time distributions

  • Author: G. Poli, E. Fountzilas, A.M. Tsimberidou, P.J. Müller
    Journal: Biometrics
    Year: 2024

Prof. Zhitao Xiao | Medical Image Analysis | Best Researcher Award

Prof. Zhitao Xiao | Medical Image Analysis | Best Researcher Award

School of Life Sciences of Tiangong University, China

👨‍🎓 Profiles

Scopus

Orcid

Publications

MSTNet: Multi-scale spatial-aware transformer with multi-instance learning for diabetic retinopathy classification

  • Author: X. Wei, Xin; Y. Liu, Yanbei; F. Zhang, Fang; X. Cao, Xiangyu; Z. Xiao, Zhitao
    Journal: Medical Image Analysis
    Year: 2025

A Deep Learning-Based Modeling Method for Phase-Free Near-Field Scanning Measurement

  • Author: S. Zhao, Shuli; J. Wu, Jianfei; Y. Song, Yang; L. Chen, Ledong; Z. Xiao, Zhitao
    Journal: IEEE Transactions on Antennas and Propagation
    Year: 2025

Stripe Pooling and Vessel-Constraint Network for Fundus Image Artery /Vein Classification

  • Author: Z. Xiao, Zhitao; X. Peng, Xinwen; Y. Liu, Yanbei; F. Zhang, Fang; W. Wang, Wen
    Journal: Chinese Journal of Biomedical Engineering
    Year: 2024

Diabetic Retinopathy Segmentation Using Dense Dilated Attention Pyramid and Multi-Scale Features

  • Author: Z. Wang, Zhilu; Y. Chi, Yue; Y. Zhou, Yatong; Z. Xiao, Zhitao; S. Wang, Shaoqi
    Journal: Chinese Journal of Medical Physics
    Year: 2024

AGT: Enhancing Many-Body Interactions in Material Property Prediction

  • Author: L. Geng, Lei; Y. Niu, Yaxi; Z. Xiao, Zhitao; H. Yin, Huaqing
    Journal: Computational Materials Science
    Year: 2024

Mr. Jiahao Nie | Image Processing | Best Researcher Award

Mr. Jiahao Nie | Image Processing | Best Researcher Award

Hangzhou Dianzi University, China

👨‍🎓 Profiles

Scopus

Google Scholar

📌 Summary

Mr. Jiahao Nie is a dedicated Ph.D. candidate at Hangzhou Dianzi University (HDU) and Hanyang University (HYU), specializing in computer vision, 2D image processing, and 3D point cloud processing. Under the guidance of Prof. Zhiwei He and Assoc. Prof. Dong-Kyu Chae, he is actively engaged in cutting-edge research in autonomous driving and object tracking.

🎓 Education

  • Ph.D. in Electronic Science and Technology (HDU, 2022-2025)
  • Joint Ph.D. in Computer Science (HYU, 2024-2025)
  • B.Eng. in Electronic Information Engineering (HDU, 2020-2022)

🔬 Research Interests

His research is primarily focused on computer vision, including 2D image processing, 3D point cloud processing, and object tracking for autonomous driving.

🏆Honors & Awards

  • Ph.D. National Scholarship (Rank: 1/75) | Full Postgraduate Scholarship (2020-2025)
  • First-Class Academic Scholarship (Top 3%) | National Scholarship for Studying Abroad (2023)

📑 Academic Contributions

  • Reviewer for ICCV, CVPR, ICLR, ICML, ECCV, NeurIPS, AAAI, ACM MM
  • Presenter at ICLR (2024), IJCAI (2023), AAAI (2023)

 

Publications

TTSNet: state-of-charge estimation of Li-ion battery in electrical vehicles with temporal transformer-based sequence network

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Vehicular Technology
  • Year: 2024

A fine-grained feature decoupling based multi-source domain adaptation network for rotating machinery fault diagnosis

  • Authors: Xiaorong Zheng, Jiahao Nie, Zhiwei He, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Reliability Engineering & System Safety
  • Year: 2024

A progressive multi-source domain adaptation method for bearing fault diagnosis

  • Authors: Xiaorong Zheng, Zhiwei He, Jiahao Nie, Ping Li, Zhekang Dong, Mingyu Gao
  • Journal: Applied Acoustics
  • Year: 2024

Dual-task learning for joint state-of-charge and state-of-energy estimation of lithium-ion battery in electric vehicle

  • Authors: Zhengyi Bao, Jiahao Nie, Huipin Lin, Zhi Li, Kejie Gao, Zhiwei He, Mingyu Gao
  • Journal: IEEE Transactions on Transportation Electrification
  • Year: 2024

TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds

  • Authors: Anqi Xu, Jiahao Nie*, Zhiwei He, Xudong Lv
  • Journal: IEEE Robotics and Automation Letters
  • Year: 2024