World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
10806
World Ranking
5080
National Ranking
31

Overview

Seungmin Rho is affiliated with Sungkyul University in South Korea and has contributed extensively to the fields of Computer Science and Engineering. Their research spans multiple subfields, including Electrical and Electronic Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, and Biomedical Engineering.

The main research topics addressed by Seungmin Rho include:

  • Energy Load and Power Forecasting
  • Anomaly Detection Techniques and Applications
  • Video Surveillance and Tracking Methods
  • Smart Grid Energy Management
  • Stock Market Forecasting Methods
  • Solar Radiation and Photovoltaics
  • Gait Recognition and Analysis

Seungmin Rho has published papers in several scientific venues multiple times. The most frequent publication outlets include:

  • The Journal of Supercomputing
  • IEEE Access
  • Sensors
  • Alexandria Engineering Journal
  • Complexity

Recent selected papers by Seungmin Rho include:

  • Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework (2020, Sensors)
  • Combination of short-term load forecasting models based on a stacking ensemble approach (2020, Energy and Buildings)
  • A deep feature-based real-time system for Alzheimer disease stage detection (2020, Multimedia Tools and Applications)
  • Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms (2020, IEEE Access)
  • A Survey on blockchain for industrial Internet of Things (2021, Alexandria Engineering Journal)

The scientist collaborates frequently with a group of coauthors including Jihoon Moon, Muazzam Maqsood, Maryam Bukhari, Eenjun Hwang, and Sung Wook Baik.

In addition to journal articles, Seungmin Rho has contributed to books, including a publication in 2021 titled "Big Data Technologies and Applications," published in the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering series.

Best Publications

  • Urban planning and building smart cities based on the Internet of Things using Big Data analytics

    M. Mazhar Rathore;Awais Ahmad;Anand Paul;Seungmin Rho

  • Convolutional Neural Networks Based Fire Detection in Surveillance Videos

    Khan Muhammad;Jamil Ahmad;Irfan Mehmood;Seungmin Rho

  • Deep Learning Based Multi-Channel Intelligent Attack Detection for Data Security

    Feng Jiang;Yunsheng Fu;B. B. Gupta;Yongsheng Liang

  • Improving electric energy consumption prediction using CNN and Bi-LSTM

    Tuong Le;Minh Thanh Vo;Bay Vo;Eenjun Hwang

  • Medical image denoising using convolutional neural network: a residual learning approach

    Worku Jifara;Feng Jiang;Seungmin Rho;Maowei Cheng

  • Traffic Engineering in Software-Defined Networking: Measurement and Management

    Zhaogang Shu;Jiafu Wan;Jiaxiang Lin;Shiyong Wang

  • Music emotion classification and context-based music recommendation

    Byeong-Jun Han;Seungmin Rho;Sanghoon Jun;Eenjun Hwang

  • A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image

    Khan Muhammad;Muhammad Sajjad;Irfan Mehmood;Seungmin Rho

  • Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

    Zulfiqar Ahmad Khan;Tanveer Hussain;Amin Ullah;Seungmin Rho

  • Short-Term Prediction of Residential Power Energy Consumption via CNN and Multi-Layer Bi-Directional LSTM Networks

    Fath U Min Ullah;Amin Ullah;Ijaz Ul Haq;Seungmin Rho

  • Cooperative Cognitive Intelligence for Internet of Vehicles

    Anand Paul;Alfred Daniel;Awais Ahmad;Seungmin Rho

  • Energy Aware Cluster-Based Routing in Flying Ad-Hoc Networks.

    Farhan Aadil;Ali Raza;Muhammad Fahad Khan;Muazzam Maqsood

  • Fog Computing-Based IoT for Health Monitoring System

    Anand Paul;Hameed Pinjari;Won-Hwa Hong;Hyun Cheol Seo

  • A deep feature-based real-time system for Alzheimer disease stage detection

    Hina Nawaz;Muazzam Maqsood;Sitara Afzal;Farhan Aadil

  • Combination of short-term load forecasting models based on a stacking ensemble approach

    Jihoon Moon;Seungwon Jung;Jehyeok Rew;Seungmin Rho

  • Medical image semantic segmentation based on deep learning

    Feng Jiang;Aleksei Grigorev;Seungmin Rho;Zhihong Tian;Zhihong Tian

  • A Fog Based Middleware for Automated Compliance With OECD Privacy Principles in Internet of Healthcare Things

    Ahmed M. Elmisery;Seungmin Rho;Dmitri Botvich

  • Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities

    Muhammad Sajjad;Siraj Khan;Zahoor Jan;Khan Muhammad

  • Image steganography using uncorrelated color space and its application for security of visual contents in online social networks

    Khan Muhammad;Muhammad Sajjad;Irfan Mehmood;Seungmin Rho

  • Long-Term Wind Power Forecasting Using Tree-Based Learning Algorithms

    Amirhossein Ahmadi;Mojtaba Nabipour;Behnam Mohammadi-Ivatloo;Ali Moradi Amani

  • SMERS: Music emotion recognition using support vector regression

    Byeong Jun Han;Seungmin Rho;Roger B. Dannenberg;Eenjun Hwang

Frequent Co-Authors

Anand Paul
Anand Paul Kyungpook National University
Sung Wook Baik
Sung Wook Baik Sejong University
Irfan Mehmood
Irfan Mehmood University of Bradford
Naveen Chilamkurti
Naveen Chilamkurti La Trobe University
Feng Jiang
Feng Jiang Harbin Institute of Technology
Muhammad Sajjad
Muhammad Sajjad Islamia College University
Awais Ahmad
Awais Ahmad University of Milan
Yunyoung Nam
Yunyoung Nam Soonchunhyang University
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Sohail Jabbar
Sohail Jabbar Manchester Metropolitan University

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