PEER-REVIEWED JOURNAL PUBLICATIONS 

1. Muhammad, Khan, Mustaqeem, Amin Ullah, Ali Shariq Imran, Muhammad Sajjad, Mustafa Servet Kiran, Giovanna Sannino, and Victor Hugo C. de Albuquerque. "Human action recognition using attention-based LSTM network with dilated CNN features." Future Generation Computer Systems 125 (2021): 820-830.

2. Amin Ullah, Muhammad, K., Ding, W., Palade, V., Haq, I.U. and Baik, S.W. Efficient Activity Recognition using Lightweight CNN and Deep GRU Network for Surveillance Applications, Applied Soft Computing. 103, p.107102. [IF: 4.873, Rank Q1]

3. Ullah, Waseem, Amin Ullah, Tanveer Hussain, Khan Muhammad, Ali Asghar Heidari, Javier Del Ser, Sung Wook Baik, and Victor Hugo C. De Albuquerque. "Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data." Future Generation Computer Systems (2021).

4. Fath U Min Ullah, Mohammad S. Obaidat, Khan Muhammad, Amin Ullah, Sung Wook Baik, Fabio Cuzzolin, Victor Hugo C. de Albuquerque, An Intelligent System for Complex Violence Pattern Analysis and Detection International Journal of Intelligent Systems [If: 10.312, Rank Q1]. 

5. Muhammad, Khan, Hayat Ullah, Mohammad S. Obaidat, Amin Ullah, Arslan Munir, Muhammad Sajjad, and Victor Hugo C. de Albuquerque. "AI-Driven Salient Soccer Events Recognition Framework for Next Generation IoT-Enabled Environments." IEEE Internet of Things Journal (2021).

6. Amin Ullah, Khan Muhammad, Tanveer Hussain; Sung Wook Baik, Conflux LSTMs Network: A Novel Approach for Multi-View Action Recognition, Neurocomputing 435 (2021): 321-329. [IF:4.072, Rank Q1] 

7. Ullah, Waseem, Amin Ullah, Ijaz Ul Haq, Khan Muhammad, Muhammad Sajjad, and Sung Wook Baik. "CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks." Multimedia Tools and Applications 80, no. 11 (2021): 16979-16995. 

8. Khan Muhammad, Amin Ullah, Jaime Lloret, Javier Del Ser, Victor Hugo C. de Albuquerque, Deep Learning for Safe Autonomous Driving: Current Challenges and Future Direction, IEEE Transactions on Intelligent Transportation Systems [IF: 6.319, Rank Q1] 

9. Khan, Samee Ullah, Tanveer Hussain, Amin Ullah, and Sung Wook Baik. "Deep-ReID: deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance." Multimedia Tools and Applications (2021): 1-22. 

10. Amin Ullah, Khan Muhammad, Tanveer Hussain, Sung Wook Baik, Victor Hugo C de Albuquerque, Event-Oriented 3D Convolutional Features Selection and Hash Codes Generation using PCA for Video Retrieval, IEEE Access 8 (2020): 196529-196540. [IF: 3.745, Rank Q1] 

11. Khan, Noman, Amin Ullah, Ijaz Ul Haq, Varun G. Menon, and Sung Wook Baik. "SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network." Journal of Real-Time Image Processing (2020): 1-15. 

12. Tanveer Hussain, Khan Muhammad, Amin Ullah, Javier Del Ser, Amir H. Gandomi, Muhammad Sajjad, Sung Wook Baik, and Victor Hugo C. de Albuquerque, Multi-View Summarization and Activity Recognition Meet Edge Computing in IoT Environments” IEEE Internet of Things Journal, (Accepted). [IF: 9.55, Rank Q1]

13. Muhammad Sajjad, Samee Ullah Khan, Noman Khan, Ijaz Ul Haq, Amin Ullah, Mi Young Lee and Sung Wook Baik Towards Efficient Building Designing: Heating and Cooling Load Prediction via Multi-Output Model Sensors, 2020 (Accepted) [IF:3.031, Rank Q1] 

14. Tanveer Husain, Khan Muhammad, Amin Ullah, Sung Wook Baik, Cloud-Assisted Multi-View Video Summarization using CNN and Bi-Directional LSTM, IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 77-86, 2019. [IF: 7.377, Rank Q1] 

15. Fath U Min Ullah, Amin Ullah, Khan Muhammad, Ijaz Ul Haq, Sung Wook Baik, Violence Detection using Spatiotemporal Features with 3D Convolutional Neural Network, Sensors, vol. 19, no. 11, p. 2472, 2019. [IF: 2.475, Rank Q2]

16. Ijaz Ul Haq, Amin Ullah, Khan Muhammad, and Sung Wook Baik, Personalized Movie Summarization using Deep CNN-Assisted Facial Expression Recognition, Complexity, vol. 2019, 2019.  [IF: 1.829, Rank Q2] 

17. Muhammad Sajjad, Sana Zahir, Amin Ullah, Zahid Akhtar, Khan Muhammad, Human Behavior Understanding in Big Multimedia Data using CNN based Facial Expression Recognition, Mobile networks and applications, pp. 1-11, 2019.  [IF: 2.390, Rank Q2] 

18. Amin Ullah, Khan Muhammad, Ijaz Ul Haq, and Sung Wook Baik, Action Recognition using Optimized Deep Autoencoder and CNN for Surveillance Data Streams of Non-Stationary Environments, Future Generation Computer Systems 96 (2019): 386-397. (Published) [IF: 4.639, Rank Q1] 

19. Irfan Mehmood, Amin Ullah, Khan Muhammad, and Muhammad Sajjad, Efficient Image Recognition and Retrieval on IoT-Assisted Energy-Constrained Platforms from Big Data Repositories, IEEE Internet of Things Journal, vol. 6, no. 6, pp. 9246-9255, 2019. [IF: 9.55, Rank Q1]

20. Ijaz Ul Haq, Khan Muhammad, Amin Ullah, Sung Wook Baik, and Mi Young Lee, DeepStar: Detecting Starring Characters in Movies, IEEE Access, vol. 7, pp. 9265-9272, 2019. [IF: 3.244, Rank Q1] 

21. Amin Ullah, Khan Muhammad, and Sung Wook Baik, Activity Recognition using Temporal Optical Flow Convolutional Features and Multi-Layer LSTM, IEEE Transactions on Industrial Electronics 66, no. 12 (2018): 9692-9702. [IF: 7.05, Rank Q1] 

22. Muhammad Sajjad, Salman Khan, Khan Muhammad, Wanqing Wu, Amin Ullah, and Sung Wook Baik, Multi-Grade Brain Tumor Classification using Deep CNN with Extensive Data Augmentation, Journal of computational science, vol. 30, pp. 174-182, 2019. [IF: 1.925, Rank Q2] 

23. Amin Ullah, Jamil Ahmad, Khan Muhammad, Muhammad Sajjad, and Sung Wook Baik, Action Recognition in Video Sequences using Deep Bidirectional LSTM with CNN Features, IEEE Access, Vol. 6: 1155 - 1166, 2018. [IF: 3.244, Rank Q1] 

24. Muhammad Sajjad, Amin Ullah, Jamil Ahmad, Naveed Abbas, Seungmin Rho, and Sung Wook Baik, Integrating salient colors with rotational invariant texture features for image representation in retrieval systems, Multimedia Tools and Applications, Vol. 77: 4769- 4789, 2018. [IF: 1.530, Rank Q2]

PUBLICATIONS UNDER PROCESS 

Patents

In Application

1. Sung Wook Baik, Seungmin Rho, Miyoung Lee, Zulfiqar Ahmad Khan, Tanveer Hussain, Amin Ullah, Power consumption prediction system of residential and commercial building using hybrid convolution neural network, Patent office KR, Application number 10-2020-0099720.

2. Sung Wook Baik, Seungmin Rho, Miyoung Lee, Amin Ullah, Fath U Min Ullah, Ijaz Ul Haq, Violence detection system, method, and computer readable recording medium storing a program for performing the method using space-time features, Patent office KR, Application number 10-2019-0155473.

3. Sung Wook Baik, Miyoung Lee, Khan Muhammad, Amin Ullah, Park Jun Ryeol, Tanveer Hussain, Image-based abnormal situation monitoring method and system, Patent office KR, Application number 10-2018-0171033.\

Registered 

1. Sung Wook Baik, Miyoung Lee, Khan Muhammad, Amin Ullah, Ijaz Ul Haq,  Fire monitoring method and apparatus(화재 감시 방법 및 그 장치) Publication date 2020.02.11, Patent office KR, Application number 1020180044107, Patent number KR101822924B1. 

2. Sung Wook Baik, Miyoung Lee, Khan Muhammad, Amin Ullah, Ijaz Ul Haq,  Image-based abnormal situation monitoring method and system (영상 기반 비정상 상황 모니터링 방법 및 시스템), Patent office KR, Application number 10-2019-0018379. 

3. Sung Wook Baik, Miyoung Lee, Khan Muhammad, Amin Ullah, Park Jun Ryeol, Ijaz Ul Haq, Image processing method and system for smoky environment(연기를 포함하는 환경에 대한 영상 분석 방법 및 그 시스템), Publication date 2019/8/29, Patent office KR, Application number 10-2018-0062174, Patent number KR101270718B1.

Book Chapters

1. Amin Ullah, Khan Muhammad, Tanveer Hussain, Mi Young Lee, Sung Wook Baik, Chapter: Deep LSTM-Based Sequence Learning Approaches for Action and Activity Recognition, In Deep Learning in Computer Vision, pp. 127-150. CRC Press, 2020.

2. Tanveer Hussain, Amin Ullah, Umair Haroon, Khan Muhammad, Sung Wook Baik, Chapter: A Comparative Analysis of Efficient CNN based Brain Tumor Classification Models, " In Generalization with Deep Learning: For Improvement On Sensing Capability, pp. 259-278. 2021.

PEER-REVIEWED Non-IF Journal Articles 

1. Tanveer Hussain, Khan Muhammad, Salman Khan, Amin Ullah, Mi Young Lee, Sung Wook Baik, Intelligent Baby Behavior Monitoring using Embedded Vision in IoT for Smart Healthcare Centers, Journal of Artificial Intelligence and Systems. J. Artif. Intell. Syst, 2019. 

2. Amin Ullah, Jamil Ahmad, Khan Muhammad, Irfan Mehmood, Mi Young Lee, Jun Ryeol Park, and Sung Wook Baik, Action Recognition in Movie Scenes using Deep Features of Keyframes, Journal of Korean Institute of Next Generation Computing, 2017. [KCI, ISI indexed] 

3. Amin Ullah, Nasir Rahim, Jamil Ahmad, Mi Young Lee, Sung Wook Baik, Analyzing Pedestrian Parts using Deep Features for Person Re-Identification, Journal of Korean Institute of Next Generation Computing, 2017. [KCI, ISI indexed

Peer-Reviewed Conference Proceedings

1. Amin Ullah, Khan Muhammad, Killichbek Haydarov, Ijaz Ul Haq, Miyoung Lee, and Sung Wook Baik. "One-Shot Learning for Surveillance Anomaly Recognition using Siamese 3D CNN, International Joint Conference on Neural Networks, (Glasgow 2020)". 

2. Khan, Zulfiqar Ahmad, Waseem Ullah, Amin Ullah, Seungmin Rho, Mi Young Lee, and Sung Wook Baik. "An Adaptive Filtering Technique for Segmentation of Tuberculosis in Microscopic Images." In Proceedings of the 4th International Conference on Natural Language Processing and Information Retrieval, pp. 184-187. 2020. 

3. Jun Ryeol Park, Nasir Rahim, Seung Ju Lee, Amin Ullah, Mi Young Lee and Sung Wook Baik, License Plate Recognition for Parking Management System using UAV Vision, Advanced Science and Technology Letters Vol.150 (AST 2018), pp.66-70 http://dx.doi.org/10.14257/astl.2018.150.17. 

4. Amin Ullah, Jamil Ahmad, Mi Young Lee, Jin-Taek Kim , Sung Wook Baik, Face Detection using Selected Feature Maps from a Pre-trained CNN, The 3rd International Conference on Next Generation Computing (ICNGC2017b), December 21~24, 2017, Kaohsiung, Taiwan. 

5. Amin Ullah, Jun Ryeol Park, Ijaz Ul Haq, Dongil Han, Sung Wook Baik, Drone Video Assisted Detection and Tracking on Cycling Track, The 3rd International Conference on Next Generation Computing (ICNGC2017b), December 21~24, 2017, Kaohsiung, Taiwan. 

6. Amin Ullah, Jamil Ahmad, Khan Muhammad, Mi Young Lee, Byungseok kang, Oh Beom Soo, Sung Wook Baik, A Survey on Precision Agriculture: Technologies and Challenges, The 3rd International Conference on Next Generation Computing (ICNGC2017b), December 21~24, 2017, Kaohsiung, Taiwan. 

7. Amin Ullah, Jamil Ahmad, Khan Muhammad, Irfan Mehmood, Mi Jun Ryeol Park, Sung Wook Baik, Deep Features based Action Recognition in Movie Scenes using Abstract Representations, Next Generation Computing (ICNGC2017), June 16~18, 2017, Jeju, South Korea. 

8. Amin Ullah, Muhammad Sajjad, Content based Image Retrieval using Local Shape and Color Features in Lab* Color Space, In 2nd International Conference on Next Generation Computing (ICNGC), 2017