World's Best Scientists 2026 revealed!
Sung Wook Baik

Sung Wook Baik

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Computer Science
Korea
2026

D-Index & Metrics

Computer Science

D-Index
68
Citations
15475
World Ranking
2117
National Ranking
9

Research.com Recognitions

  • 2026 - Research.com Computer Science in Korea Leader Award

Overview

Sung Wook Baik is affiliated with Sejong University in South Korea. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, and Artificial Intelligence. Additional areas of study include Safety, Risk, Reliability and Quality, as well as Building and Construction.

The scientist's research topics cover a range of subjects including Video Surveillance and Tracking Methods, Energy Load and Power Forecasting, Anomaly Detection Techniques and Applications, Human Pose and Action Recognition, Solar Radiation and Photovoltaics, Smart Grid Energy Management, and Fire Detection and Safety Systems.

Baik has published extensively in several key venues, with multiple papers appearing in:

  • Sensors
  • Engineering Applications of Artificial Intelligence
  • Expert Systems with Applications
  • IEEE Internet of Things Journal
  • IEEE Transactions on Industrial Informatics

Notable recent publications include:

  • "A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting" (2020) in IEEE Access
  • "CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks" (2020) in Multimedia Tools and Applications
  • "Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework" (2020) in Sensors
  • "An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos" (2021) in Sensors
  • "An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks" (2020) in IEEE Internet of Things Journal

The scientist frequently collaborates with coauthors such as Tanveer Hussain, Noman Khan, Zulfiqar Ahmad Khan, Khan Muhammad, and Samee U. Khan, each having numerous joint publications with Baik.

Best Publications

  • Multi-grade brain tumor classification using deep CNN with extensive data augmentation

    Muhammad Sajjad;Salman Khan;Khan Muhammad;Wanqing Wu

  • Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

    Amin Ullah;Jamil Ahmad;Khan Muhammad;Muhammad Sajjad

  • Convolutional Neural Networks Based Fire Detection in Surveillance Videos

    Khan Muhammad;Jamil Ahmad;Irfan Mehmood;Seungmin Rho

  • Early fire detection using convolutional neural networks during surveillance for effective disaster management

    Khan Muhammad;Jamil Ahmad;Sung Wook Baik

  • Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications

    Khan Muhammad;Jamil Ahmad;Zhihan Lv;Paolo Bellavista

  • A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

    Muhammad Sajjad;Zulfiqar Ahmad Khan;Amin Ullah;Tanveer Hussain

  • Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network

    Abdul Malik Badshah;Jamil Ahmad;Nasir Rahim;Sung Wook Baik

  • Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption

    Khan Muhammad;Rafik Hamza;Jamil Ahmad;Jaime Lloret

  • Efficient Fire Detection for Uncertain Surveillance Environment

    Khan Muhammad;Salman Khan;Mohamed Elhoseny;Syed Hassan Ahmed

  • CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

    Waseem Ullah;Amin Ullah;Ijaz Ul Haq;Khan Muhammad

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

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

  • Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network.

    Fath U Min Ullah;Amin Ullah;Khan Muhammad;Ijaz Ul Haq

  • Efficient visual attention based framework for extracting key frames from videos

    Naveed Ejaz;Irfan Mehmood;Sung Wook Baik

  • Adaptive key frame extraction for video summarization using an aggregation mechanism

    Naveed Ejaz;Tayyab Bin Tariq;Sung Wook Baik

  • Raspberry Pi assisted face recognition framework for enhanced law-enforcement services in smart cities

    Muhammad Sajjad;Mansoor Nasir;Khan Muhammad;Siraj Khan

  • Mobile edge computing based QoS optimization in medical healthcare applications

    Ali Hassan Sodhro;Zongwei Luo;Arun Kumar Sangaiah;Sung Wook Baik

  • 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

  • Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM

    Amin Ullah;Khan Muhammad;Javier Del Ser;Sung Wook Baik

  • 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

  • Deep features-based speech emotion recognition for smart affective services

    Abdul Malik Badshah;Nasir Rahim;Noor Ullah;Jamil Ahmad

  • Energy-Efficient Deep CNN for Smoke Detection in Foggy IoT Environment

    Salman Khan;Khan Muhammad;Shahid Mumtaz;Sung Wook Baik

Frequent Co-Authors

Khan Muhammad
Khan Muhammad Sungkyunkwan University
Muhammad Sajjad
Muhammad Sajjad Islamia College University
Irfan Mehmood
Irfan Mehmood University of Bradford
Seungmin Rho
Seungmin Rho Chung-Ang University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Bay Vo
Bay Vo Ho Chi Minh City University of Technology
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Javier Del Ser
Javier Del Ser University of the Basque Country
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Le Hoang Son
Le Hoang Son Vietnam National University, Hanoi

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