Hikmat Yar

Name:  Hikmat Yar

Department of Mechanical, Robotics and Energy Engineering

Dongguk University-Seoul

30, Pildong-ro 1-gil, Jung-gu, Seoul, Korea, 04620

E-mail: hikmatyar3797@gmail.com

Biographical Information

• Hikmat Yar is a Research Professor in the Department of Mechanical, Robotics, and Energy Engineering at Dongguk University, South Korea, and a Postdoctoral Researcher at the KAIST InnoCORE PRISM-AI Center, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea. He earned his Ph.D. in Fire Disaster Management from the Department of Software, Sejong University, Seoul, South Korea, in 2025. Prior to that, he completed his bachelor’s (2015) and master’s (2019) degrees in Computer Science from Islamia College Peshawar, Pakistan. His research interests include computer vision, deep learning, fire disaster management, population forecasting, , machine anomaly detection etc.

Academic Experience

• 2021-2025 Research Assistant Sejong University, South Korea

• 2019-2020 Teaching Assistant Islamia College Peshawar, Pakistan

• 2017-2019 Research Assistant Islamia College Peshawar, Pakistan

Research Interests  

• Computer Vision

• Fire Disaster Management

• Medical Image Analysis

• Population Forecasting

• Voice Recognition

• Prognostics and Health Management (PHM)

• Data-driven Models

Honors and Awards  

• Best Paper Award: Efficient fire detection with smart surveillance systems, Korea Next Generation Computing Society Spring Conference, Kyungnam University Creative Hall, June 2023.

• Best Paper Award: Dual Modality-based Animals Species Recognition using Deep learning Techniques, Next Generation Computing Conference, ICCJEJU 201-202, Jeju, Korea, October 2022.

• Winner of Business Plan Competition: Office of Research, Innovation and Commercialization (ORIC), Islamia College Peshawar, Peshawar, KPK, Pakistan, Aug 2019.

Book Chapter

• Hikmat Yar, Naveed Abbas, Tariq Sadad, Sajid Iqbal “Lung Nodule Detection and Classification using 2D and 3D Convolution Neural Networks (CNNs)”  Artificial Intelligence and Internet of Things, 2021

DOI: https://doi.org/10.1201/9781003097204

PUBLICATIONS-INTERNATIONAL JOURNAL/ COMMUNICATED INTERNATIONAL JOURNALS

1. Hikmat Yar, Fath U Min Ullah, Zulfiqar Ahmad Khan, Min Je Kim, Sung Wook Baik “EFNet-CSM: EfficientNet with a Modified Attention Mechanism for Effective Fire Detection”  Knowledge-Based Systems, 2025

DOI: https://doi.org/10.1016/j.knosys.2025.114353 (SCIE|Q1|IF: 7.6| JCR Ranking 12.74%)

2. Adnan Hussain, Noman Khan, Zulfiqar Ahmad Khan, Hikmat Yar, Min Je Kim, Sung Wook Baik, “Edge-assisted framework for instant anomaly detection and cloud-based anomaly recognition in smart surveillance”, Engineering Applications of Artificial Intelligence, 2025

DOI: https://doi.org/10.1016/j.engappai.2025.111936 (SCIE|Q1|IF: 8.0| JCR Ranking 2.85%)

3. Adnan Hussain, Waseem Ullah, Noman Khan, Zulfiqar Ahmad Khan, Hikmat Yar, Sung Wook Baik, “Class Incremental Learning Network for Real-Time Anomaly Recognition in Surveillance Environments”, Pattern Recognition, 2025

DOI: https://doi.org/10.1016/j.patcog.2025.112064 (SCIE|Q1|IF: 7.5| JCR Ranking 7%)

4. Adnan Hussain, Hikmat Yar, Noman Khan, Zulfiqar Ahmad Khan, Min Je Kim, Sung Wook Baik “Dual stream deep attention networks for annual population projection”, Pattern Analysis and Applications, 2025

DOI: https://doi.org/10.1007/s10044-025-01451-8  (SCIE|Q1|IF: 3.7| JCR Ranking 33.5%)

5. Zulfiqar Ahmad Khan, Fath U Min Ullah, Hikmat Yar, Waseem Ullah, Sung Wook Baik “Optimized Cross Module Attention Network and Database for Fire Detection”, Pattern Recognition, 2025

DOI: https://doi.org/10.1016/j.patcog.2024.111273 (SCIE|Q1|IF: 7.5| JCR Ranking 7%)

6. Hikmat Yar, Zulfiqar Ahmad Khan, Tanveer Hussain, Sung Wook Baik, “A modified vision transformer architecture with scratch learning capabilities for effective fire detection”, Expert Systems with Applications, 2024

DOI: https://doi.org/10.1016/j.eswa.2024.123935 (SCIE|Q1|IF: 8.5| JCR Ranking 7%)

7. Hikmat Yar, Zulfiqar Ahmad Khan, Imad Rida, Waseem Ullah, Min Je Kim, Sung Wook Baik, “An efficient deep learning architecture for effective fire detection in smart surveillance”, Image and Vision Computing, 2024

DOI: https://doi.org/10.1016/j.imavis.2024.104989 (SCIE|Q1|IF: 4.7| JCR Ranking 18%)

8. Hikmat Yar, Waseem Ullah, Zulfiqar Ahmad Khan, Sung Wook Baik, "An Effective Attention-based CNN Model for Fire Detection in Adverse Weather Conditions," ISPRS Journal of Photogrammetry and Remote Sensing, 2023

DOI: https://doi.org/10.1016/j.isprsjprs.2023.10.019 (SCIE|Q1|IF: 12.7| JCR Ranking 1%)

9. Hikmat Yar, Zulfiqar Ahmad Khan, Fath U Min Ullah, Waseem Ullah, Sung Wook Baik, "A modified YOLOv5 architecture for efficient fire detection in smart cities," Expert Systems with Applications, 2023

DOI: https://doi.org/10.1016/j.eswa.2023.120465 (SCIE|Q1|IF: 8.5| JCR Ranking 7%)

10. Mohammad Hijji, Hikmat Yar, Fath U Min Ullah, Mohammed M Alwakeel, Rafika Harrabi, Fahad Aradah, Faouzi Alaya Cheikh, Khan Muhammad, Muhammad Sajjad, "FADS: An Intelligent Fatigue and Age Detection System," Mathematics, 2023

DOI: https://doi.org/10.3390/math11051174 (SCIE|Q1|IF: 2.4| JCR Ranking 7%)

11. Hikmat Yar, Tanveer Hussain, Mohit Agarwal, Zulfiqar Ahmad Khan, Suneet Kumar Gupta, Sung Wook Baik, "Optimized dual fire attention network and medium-scale fire classification benchmark," IEEE Transactions on Image Processing, 2022

DOI: https://doi.org/110.1109/TIP.2022.3207006 (SCIE|Q1|IF: 11.04| JCR Ranking 4%) 

12. Haider Ali, Haleem Farman, Hikmat Yar, Zahid Khan, Shabana Habib, Adel Ammar, "Deep learning-based election results prediction using Twitter activity," Soft Computing, 2022

DOI: https://doi.org/10.1007/s00500-021-06569-5 (SCIE|Q1|IF: 3.73| JCR Ranking 44.82%) 

13. Hikmat Yar, Ali Shariq Imran, Zulfiqar Ahmad Khan, Muhammad Sajjad, Zenun Kastrati, "Towards smart home automation using IoT-enabled edge-computing paradigm," Sensors, 2022

DOI: https://doi.org/10.3390/s21144932 (SCIE|Q1|IF: 3.27| JCR Ranking 23%) 

Publications Korean Journal Papers

1. Hikmat Yar, Tanveer Hussain, Zulfiqar Ahmad Khan, Miyoung Lee, and Sung Wook Baik, "Fire detection with effective vision transformers," The Korean Society of Next Generation Computing, 2021

https://www.earticle.net/Article/A402850 

RESEARCH PAPER PRESENTED IN NATIONAL / INTERNATIONAL CONFERENCES

1. Muhammad Afaq, Adnan Hussain, Hikmat Yar, Muhammad Munsif, Min Je Kim, Sung Wook Baik, "Analyzing City-Level Population Movement in China with Graph Neural Networks ", Korean Next Generation Computing Society Academic Conference 2025.

2. Amjid Ali, Hikmat Yar, Adnan Hussain, Altaf Hussain, Min Je Kim, Sung Wook Baik, "Semi-Supervised Learning for Audio-Visual Anomaly Recognition", Korean Next Generation Computing Society Academic Conference 2025.

3. Sang Il Yoon, Min Je Kim, Noman Khan, Hikmat Yar, Seoa Kim, Jungwook Choi, Chan Mi Jeon, Huisu Jeung, Kyungjung Kwon, Sung Wook Baik, "Polynomial Regression Modeling for Efficient Prediction of Battery Rate Capability", Korean Next Generation Computing Society Academic Conference 2024.

4. Hikmat Yar, Amjid Ali, Zulfiqar Ahmad Khan, Noman Khan, Min Je Kim, Su Min Lee, Sung Wook Baik, "A Modified Vision Transformer-based Anomaly Recognition using Audio Data", Korean Next Generation Computing Society Academic Conference 2024.

5. Hikmat Yar, Adnan Hussain, Zulfiqar Ahmad Khan, and Sung Wook Baik “Feature importance analysis for population projection”, The 10th International Conference on Next Generation Computing 2024, Holy Angel University, Angeles City, Philippines.

6. Kim Dong Jun, Habib Khan, and Hikmat Yar, “Improving Speaker Recognition with Parallel WaveGAN”, The 9th International Conference on Next Generation Computing 2023, Danang, Vietnam.

7. Zulfiqar Ahmad Khan, Waseem Ullah, Hikmat Yar, Noman Khan, Min Je Kim and Sung Wook Baik, “Dataset Standardization for Effective Solar Power Forecasting: A Comprehensive Analysis”, The 9th International Conference on Next Generation Computing 2023, Danang, Vietnam.

8. Samee Ullah Khan, Hikmat Yar, Habib Khan, Sumin Lee, Mi Young Lee, Sung Wook Baik, “Efficient fire detection with smart surveillance systems” Korea Next Generation Computing Society Spring Conference 2023.

9. Min Je Kim, Tanveer Hussain, Waseem Ullah, Hikmat Yar, Mi Young Lee, Muhammad Sajjad, and Sung Wook Baik, “Active Learning Approach for Data Annotation and Model Performance Enhancement”, Korea Next Generation Computing Society Spring Conference 2022.

10. Min Je Kim, Tanveer Hussain, Waseem Ullah, Hikmat Yar, Mi Young Lee, Muhammad Sajjad, and Sung Wook Baik, “Dual Modality-based Animals Species Recognition using Deep Learning Techniques”, Korea Next Generation Computing Society Spring Conference 2022.

11. Yakun Xie, Jun Zhu, Hikmat Yar, Tanveer Hussain, “A survey of video fire detection datasets”, Korea Next Generation Computing Society Spring Conference 2021.

12. Hikmat Yar, Samee Ullah Khan, Noman Khan, Min Je Kim, Mi Young Lee, Sung Wook Baik, “A Lightweight Deep Learning Model for Early Fire Detection using UAV Imagery”, Korea Next Generation Computing Society Spring Conference 2021.

13. Amjad Rehman, Hikmat Yar, Noor Ayesha, Tariq Sadad, “Dermoscopy cancer detection and classification using geometric feature based on resource constraints device (Jetson Nano)”, 13th International Conference on Developments in eSystems Engineering (DeSE) 2020.

14. Habab Jan, Hikmat Yar, Javed Iqbal, Haleem Farman, Zahid Khan, Anis Koubaa, "Raspberry pi assisted safety system for elderly people: An application of smart home", First International Conference of Smart Systems and Emerging Technologies (SMARTTECH) 2020.

15. Muhammad Salman, Hikmat Yar, Tauseef Jan, and Khalil Ur Rahman, “Real-time Violence Detection in Surveillance Videos using RPI”, The 5th International Conference on Next Generation Computing 2019. 

16. Hikmat Yar, Tauseef Jan, Altaf Hussain, and Shams Ud Din, “Real-time facial emotion recognition and gender classification for human robot interaction using CNN”, The 5th International Conference on Next Generation Computing 2019.

17. Altaf Hussain, Abbas Khan, Hikmat Yar, “Efficient deep learning approach for classification of pneumonia using resources constraint devices in healthcare”, The 5th International Conference on Next Generation Computing 2019.