Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features. - Amin Ullah; Jamil Ahmad; Khan Muhammad 001; Muhammad Sajjad; Sung Wook Baik (IEEE Access, 2018)

Integrating salient colors with rotational invariant texture features for image representation in retrieval systems. - Muhammad Sajjad; Amin Ullah; Jamil Ahmad; Naveed Abbas; Seungmin Rho; Sung Wook Baik (Multim. Tools Appl., 2018)

Online optimization for Adaptive Scalable Video Transmission in SDN using Kernel-based ADP. - Xiang Chen 017; Shuangwu Chen; Amin Ullah; Chaojie Yu; Jian Yang 014 (ICSPCS, 2019)

DeepStar: Detecting Starring Characters in Movies. - Ijaz Ul Haq; Khan Muhammad 001; Amin Ullah; Sung Wook Baik (IEEE Access, 2019)

Personalized Movie Summarization Using Deep CNN-Assisted Facial Expression Recognition. - Ijaz Ul Haq; Amin Ullah; Khan Muhammad 001; Mi Young Lee; Sung Wook Baik (Complex., 2019)

Action recognition using optimized deep autoencoder and CNN for surveillance data streams of non-stationary environments. - Amin Ullah; Khan Muhammad 001; Ijaz Ul Haq; Sung Wook Baik (Future Gener. Comput. Syst., 2019)

Efficient Image Recognition and Retrieval on IoT-Assisted Energy-Constrained Platforms From Big Data Repositories. - Irfan Mehmood; Amin Ullah; Khan Muhammad 001; Der-Jiunn Deng; Weizhi Meng 001; Fadi Al-Turjman 001; Muhammad Sajjad; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2019)

Multi-grade brain tumor classification using deep CNN with extensive data augmentation. - Muhammad Sajjad; Salman Khan 004; Khan Muhammad 001; Wanqing Wu; Amin Ullah; Sung Wook Baik (J. Comput. Sci., 2019)

Violence Detection Using Spatiotemporal Features with 3D Convolutional Neural Network. - Fath U Min Ullah; Amin Ullah; Khan Muhammad 001; Ijaz Ul Haq; Sung Wook Baik (Sensors, 2019)

Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM. - Amin Ullah; Khan Muhammad 001; Javier Del Ser; Sung Wook Baik; Victor Hugo C. de Albuquerque (IEEE Trans. Ind. Electron., 2019)

One-Shot Learning for Surveillance Anomaly Recognition using Siamese 3D CNN. - Amin Ullah; Khan Muhammad 001; Kilichbek Haydarov; Ijaz Ul Haq; Mi Young Lee; Sung Wook Baik (IJCNN, 2020)

An Adaptive Filtering Technique for Segmentation of Tuberculosis in Microscopic Images. - Zulfiqar Ahmad Khan; Waseem Ullah; Amin Ullah; Seungmin Rho; Mi Young Lee; Sung Wook Baik (NLPIR, 2020)

A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting. - Muhammad Sajjad; Zulfiqar Ahmad Khan; Amin Ullah; Tanveer Hussain; Waseem Ullah; Mi Young Lee; Sung Wook Baik (IEEE Access, 2020)

Event-Oriented 3D Convolutional Features Selection and Hash Codes Generation Using PCA for Video Retrieval. - Amin Ullah; Khan Muhammad 001; Tanveer Hussain; Sung Wook Baik; Victor Hugo C. de Albuquerque (IEEE Access, 2020)

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; Sung Wook Baik (IEEE Access, 2020)

Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition. - Muhammad Sajjad; Sana Zahir; Amin Ullah; Zahid Akhtar; Khan Muhammad 001 (Mob. Networks Appl., 2020)

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation. - Amin Ullah; Syed Muhammad Anwar; Muhammad Bilal 003; Raja Majid Mehmood (Remote. Sens., 2020)

Malicious UAV Detection Using Integrated Audio and Visual Features for Public Safety Applications. - Sonain Jamil; Fawad; MuhibUr Rahman; Amin Ullah; Salman Badnava; Masoud Forsat; Seyed Sajad Mirjavadi (Sensors, 2020)

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; Mi Young Lee; Sung Wook Baik (Sensors, 2020)

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

Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data. - Amin Ullah; Kilichbek Haydarov; Ijaz Ul Haq; Khan Muhammad 001; Seungmin Rho; Mi Young Lee; Sung Wook Baik (Sensors, 2020)

Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM. - Tanveer Hussain; Khan Muhammad 001; Amin Ullah; Zehong Cao; Sung Wook Baik; Victor Hugo C. de Albuquerque (IEEE Trans. Ind. Informatics, 2020)

A Comparative Analysis of Efficient CNN-based Brain Tumor Classification Models. - Tanveer Hussain; Amin Ullah; Umair Haroon; Khan Muhammad 001; Sung Wook Baik (Generalization with Deep Learning, 2021)

A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images. - Siraj Khan; Muhammad Sajjad; Tanveer Hussain; Amin Ullah; Ali Shariq Imran (IEEE Access, 2021)

Batteries State of Health Estimation via Efficient Neural Networks With Multiple Channel Charging Profiles. - Noman Khan; Fath U Min Ullah; Afnan; Amin Ullah; Mi Young Lee; Sung Wook Baik (IEEE Access, 2021)

Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications. - Amin Ullah; Khan Muhammad 001; Weiping Ding 001; Vasile Palade; Ijaz Ul Haq; Sung Wook Baik (Appl. Soft Comput., 2021)

A weighted multi-feature transfer learning framework for intelligent medical decision making. - Yun Yang 003; Jing Guo; Qiongwei Ye; Yuelong Xia; Po Yang 001; Amin Ullah; Khan Muhammad 001 (Appl. Soft Comput., 2021)

Densely Deformable Efficient Salient Object Detection Network. - Tanveer Hussain; Saeed Anwar; Amin Ullah; Khan Muhammad 001; Sung Wook Baik (CoRR, 2021)

Human action recognition using attention based LSTM network with dilated CNN features. - Khan Muhammad 001; Mustaqeem 001; Amin Ullah; Ali Shariq Imran; Muhammad Sajjad; Mustafa Servet Kiran; Giovanna Sannino; Victor Hugo C. de Albuquerque (Future Gener. Comput. Syst., 2021)

Conflux LSTMs Network: A Novel Approach for Multi-View Action Recognition. - Amin Ullah; Khan Muhammad 001; Tanveer Hussain; Sung Wook Baik (Neurocomputing, 2021)

Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments. - Tanveer Hussain; Khan Muhammad 001; Amin Ullah; Javier Del Ser; Amir H. Gandomi; Muhammad Sajjad; Sung Wook Baik; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2021)

SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network. - Noman Khan; Amin Ullah; Ijaz Ul Haq; Varun G. Menon; Sung Wook Baik (J. Real Time Image Process., 2021)

Splicing sites prediction of human genome using machine learning techniques. - Waseem Ullah; Khan Muhammad 001; Ijaz Ul Haq; Amin Ullah; Saeed Ullah Khattak; Muhammad Sajjad (Multim. Tools Appl., 2021)

CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks. - Waseem Ullah; Amin Ullah; Ijaz Ul Haq; Khan Muhammad 001; Muhammad Sajjad; Sung Wook Baik (Multim. Tools Appl., 2021)

Exploring 3D Human Action Recognition Using STACOG on Multi-View Depth Motion Maps Sequences. - Mohammad Farhad Bulbul; Sadiya Tabussum; Hazrat Ali; Wenli Zheng; Mi Young Lee; Amin Ullah (Sensors, 2021)

A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal. - Amin Ullah; Sadaqat ur Rehman; Shanshan Tu; Raja Majid Mehmood; Fawad; Muhammad Ehatisham-ul-Haq (Sensors, 2021)

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos. - Waseem Ullah; Amin Ullah; Tanveer Hussain; Zulfiqar Ahmad Khan; Sung Wook Baik (Sensors, 2021)

Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions. - Khan Muhammad 001; Amin Ullah; Jaime Lloret 001; Javier Del Ser; Victor Hugo C. de Albuquerque (IEEE Trans. Intell. Transp. Syst., 2021)

Deep Learning-Assisted Short-Term Power Load Forecasting Using Deep Convolutional LSTM and Stacked GRU. - Fath U Min Ullah; Amin Ullah; Noman Khan; Mi Young Lee; Seungmin Rho; Sung Wook Baik (Complex., 2022)

Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data. - Waseem Ullah; Amin Ullah; Tanveer Hussain; Khan Muhammad 001; Ali Asghar Heidari; Javier Del Ser; Sung Wook Baik; Victor Hugo C. de Albuquerque (Future Gener. Comput. Syst., 2022)

Enabling automation and edge intelligence over resource constraint IoT devices for smart home. - Mansoor Nasir; Khan Muhammad 001; Amin Ullah; Jamil Ahmad; Sung Wook Baik; Muhammad Sajjad (Neurocomputing, 2022)

A Deep Sequence Learning Framework for Action Recognition in Small-Scale Depth Video Dataset. - Mohammad Farhad Bulbul; Amin Ullah; Hazrat Ali; Daijin Kim (Sensors, 2022)

A Multi-Stream Sequence Learning Framework for Human Interaction Recognition. - Umair Haroon; Amin Ullah; Tanveer Hussain; Waseem Ullah; Muhammad Sajjad; Khan Muhammad 001; Mi Young Lee; Sung Wook Baik (IEEE Trans. Hum. Mach. Syst., 2022)

An intelligent system for complex violence pattern analysis and detection. - Fath U Min Ullah; Mohammad S. Obaidat; Khan Muhammad 001; Amin Ullah; Sung Wook Baik; Fabio Cuzzolin; Joel J. P. C. Rodrigues; Victor Hugo C. de Albuquerque (Int. J. Intell. Syst., 2022)

Robust Deep Neural Network-Based Framework for Predicting and Classifying Capsid Protein Based on Biomedical Data. - Anees Ur Rahman Khattak; Amin Ullah; Amjad Rehman; Tariq Mahmood 001; Qamar Wahid Khattak; Sarah Alotaibi; Saeed Ali Omer Bahaj (IEEE Access, 2023)

Robust Counting in Overcrowded Scenes Using Batch-Free Normalized Deep ConvNet. - Sana Zahir; Rafiullah Khan; Mohib Ullah; Muhammad Ishaq; Naqqash Dilshad; Amin Ullah; Mi Young Lee (Comput. Syst. Sci. Eng., 2023)

A Comprehensive Review on Vision-Based Violence Detection in Surveillance Videos. - Fath U Min Ullah; Mohammad S. Obaidat; Amin Ullah; Khan Muhammad 001; Mohammad Hijji; Sung Wook Baik (ACM Comput. Surv., 2023)

Efficient Person Reidentification for IoT-Assisted Cyber-Physical Systems. - Samee Ullah Khan; Ijaz Ul Haq; Noman Khan; Amin Ullah; Khan Muhammad 001; Huiling Chen 001; Sung Wook Baik; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2023)

AI-Driven Salient Soccer Events Recognition Framework for Next-Generation IoT-Enabled Environments. - Khan Muhammad 001; Hayat Ullah; Mohammad S. Obaidat; Amin Ullah; Arslan Munir; Muhammad Sajjad; Victor Hugo C. de Albuquerque (IEEE Internet Things J., 2023)

LocateUAV: Unmanned Aerial Vehicle Location Estimation via Contextual Analysis in an IoT Environment. - Naqqash Dilshad; Amin Ullah; Jaeho Kim; Jeong-Wook Seo (IEEE Internet Things J., 2023)

AI-based Bayesian inference scheme to recognize electroencephalogram signals for smart healthcare. - Puah Jia Hong; Muhammad Adeel Asghar; Amin Ullah; Mohammad Shorfuzzaman; Mehedi Masud; Raja Majid Mehmood (Clust. Comput., 2023)

Deep Learning Assists Surveillance Experts: Toward Video Data Prioritization. - Tanveer Hussain; Fath U Min Ullah; Samee Ullah Khan; Amin Ullah; Umair Haroon; Khan Muhammad 001; Sung Wook Baik; Victor Hugo C. de Albuquerque (IEEE Trans. Ind. Informatics, 2023)

CVAE-SM: A Conditional Variational Autoencoder with Style Modulation for Efficient Uncertainty Quantification. - Amin Ullah; Taiqing Yan; Fuxin Li (ICRA, 2024)

The Role of LLMs in Sustainable Smart Cities: Applications, Challenges, and Future Directions. - Amin Ullah; Guilin Qi; Saddam Hussain; Irfan Ullah 001; Zafar Ali (CoRR, 2024)

Deep-ReID: deep features and autoencoder assisted image patching strategy for person re-identification in smart cities surveillance. - Samee Ullah Khan; Tanveer Hussain; Amin Ullah; Sung Wook Baik (Multim. Tools Appl., 2024)

The comprehensive clinical benefits of digital phenotyping: from broad adoption to full impact. - Yingbo Zhang; Jiao Wang; Hui Zong; Rajeev K. Singla; Amin Ullah; Xingyun Liu; Rongrong Wu; Shumin Ren; Bairong Shen (npj Digit. Medicine, 2025)