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Profile Summary
Ph.D. in Biomedical Engineering from Kyung Hee University, South Korea, I bring extensive industrial expertise in the production of medical imaging equipment, specifically Dual Energy X-ray Absorptiometry (DXA).
Previously, I served as a research associate in the Health Life Horizon (HLH) project at the School of Electrical Engineering and Computer Science (SEECS), National University of Science & Technology (NUST), Pakistan, from April 2010 to August 2011. My research interests cover core and applied research in AI, Machine Learning, and Deep Learning, with a focus on medical imaging, image processing, computer vision, computer-aided diagnosis, natural language processing, and biomedical informatics. Engaging in various research and development projects has resulted in publications in reputable journals.
Enhancing my research profile, I bring valuable industry experience as a Research and Development Engineer at YOZMA BMTech CO., LTD, Republic of Korea, spanning from 2013 to 2019. This practical background enriches my insights and expertise, bridging the gap between academic research and real-world applications.
Previously, I served as a research fellow at the Korea Institute for Advanced Study (KIAS), a prestigious research institute affiliated with KAIST (Korea Advanced Institute of Science and Technology) from September 2019 to August 2022. This experience allowed me to contribute to cutting-edge research and collaborate with renowned experts in my field.
Currently, I am serving as an Assistant Professor in the Department of AI Data Science at Sejong University, Seoul, South Korea, since September 2022. Continuing my academic journey, I am actively contributing to the fields of AI data science and healthcare domains. With a comprehensive background, I stand as a valuable asset in academia and research, furthering advancements in these critical areas.
Education
Ph.D. in Biomedical Engineering
Kyung Hee University South Korea 2014-2019
MS leading to Ph.D.
Department of Biomedical Engineering, Kyung Hee University. 2012-2014
Bachelor of Computer Science
Kohat University of Science and Technology (KUST), Pakistan 2005-2009
Professional Appointments
Assistant Professor
Sejong University, Seoul, S. Korea. September 2022 ~ present
Postdoctoral Research Fellow at the Department of Computational Sciences, Korea Institute for Advanced Study (KIAS), a subordinate institute Korea Advanced Institute of Science & Technology (KAIST) Seoul campus (September 2019 – 31 August 2022).
Research and development engineer at YOZMA BMTech CO., LTD, Republic of Korea (2013 - 2019).
Research Associate in Health Life Horizon (HLH) project at the School of Electrical Engineering and Computer Science (SEECS), National University of Science & Technology (NUST), Pakistan (April 2010 to August 2011).
Teaching
Module
Institute/Year-Semester
Computer Organization and Architecture
Sejong University/2022-Fall
Introduction to Data Analysis
Sejong University/2023-Spring
Computer Structure
Sejong University/2023-Fall
Research Interests
AI, Machine Learning, and Deep Learning
Medical Imaging and Analysis
Biomedical informatics
Image Processing
Computer Vision
Automation in Healthcare
Computer-aided diagnosis
AI-based BNLP
Sentiment analysis
Research Articles (Selected)
Dildar Hussain, and Seung-Moo Han, “Computer-Aided Osteoporosis Detection from DXA Imaging”, Computer Methods and Programs in Biomedicine, Vol 173, 2019, pp. 87-107.
Dildar Hussain, Seung-Moo Han, and Tae-Seong Kim, “Automatic hip geometric feature extraction in DXA imaging using regional random forest”, Journal of X-ray Science and Technology, vol. 27, no. 2, 2019, pp. 207-236.
Dildar Hussain, A. Mugahed Al-antari, A. Mohammed Al-masni, Seung-Moo Han, and Tae-Seong Kim, “Femur segmentation in DXA imaging using a machine learning decision tree”, Journal of X-ray science and technology, vol. 26, no. 5, 2018, pp. 727-746.
Dildar Hussain, Muhammad Adnan Khan, Sagheer Abbas, Rizwan Ali Naqvi, Muhammad Faheem Mushtaq, Abdur Rehman, and Afrozah Nadeem, “Enabling Smart Cities with Cognition-Based Intelligent Route Decision in Vehicles Empowered with Deep Extreme Learning Machine”, CMC-Computers Materials & Continua, vol. 66, no. 1, 2021, pp. 141-156.
Dildar Hussain, Rizwan Ali Naqvi, Woong-Kee Loh, and Jooyoung Lee, “Deep Learning in DXA Image Segmentation”, CMC-Computers Materials & Continua, vol. 66, no. 3, 2020, pp. 2587-2598.
A. Mugahed Al-antari, Mohammed A. Al-masni, Mohamed K. Metwally, Dildar Hussain, Se-Je Park, Jeong-Sik Shin, Seung-Moo Han, and Tae-Seong Kim, “Denoising images of dual-energy X-ray absorptiometry using non-local means filters”, Journal of X-ray Science and Technology, vol. 26, no. 3, 2018, pp. 395-412
Ateeq Ur Rehman, Rizwan Ali Naqvi, Abdul Rehman, Anand Paul, Muhammad Tariq Sadiq, and Dildar Hussain*, “A Trustworthy SIoT Aware Mechanism as an Enabler for Citizen Services in Smart Cities” Electronics, vol. 9, no. 6, 2020: 918.
Tahira Nazir, Aun Irtaza, Ali Javed, Hafiz Malik, Dildar Hussain*, and Rizwan Ali Naqvi, “Retinal Image Analysis for Diabetes-Based Eye Disease Detection Using Deep Learning”, Applied Sciences, vol. 10, no. 18, 2020: 6185.
Rizwan Ali Naqvi, Muhammad Adnan Khan, Nauman Malik, Shazia Saqib, Tahir Alyas, and Dildar Hussain, “Roman Urdu News Headline Classification Empowered with Machine Learning”, CMC-Computers Materials & Continua, vol. 65, no. 2, 2020, pp.1221-1236.
Sikandar Shah, Sheharyar Khan, Rainer W. Bussmann, Maroof Ali, Dildar Hussain*, and Wahid Hussain, “Quantitative Ethnobotanical Study of Indigenous Knowledge on Medicinal Plants Used by the Tribal Communities of Gokand Valley, District Buner, Khyber Pakhtunkhwa, Pakistan”, Plants, vol. 9, no. 8, 2020: 1001.
Bibi Sara, Maria Anwar, Amjad Ali, Lal Badshah, Saleem Ullah, Muhammad Fiaz, Zain Ul Wahab, Dildar Hussain, Hidayat Hussain and Wahid Hussain “Cultivation of Plearotus ostreatus on Hordeum vulgare (Barley) Straws on Rural Basis in District Kurram, Pakistan”, Bioscience Research, vol. 17, no. 4, 2020, pp. 2627-2638.
Rizwan Ali Naqvi, Dildar Hussain, and Woong-Kee Loh, “Artificial Intelligence-based Semantic Segmentation of Ocular Regions for Biometrics and Healthcare Applications”, CMC-Computers Materials & Continua, vol. 66, no. 1, 2021, pp. 715-732.
Shahan Yamin Siddiqui, Iftikhar Naseer, Muhammad Adnan Khan, Muhammad Faheem Mushtaq, Rizwan Ali Naqvi, Dildar Hussain, and Amir Haider, “Intelligent Breast Cancer Prediction Empowered with Fusion and Deep Learning”, CMC-Computers Materials & Continua, vol. 67, no. 1, 2021, pp. 1033-1049.
Mohammad A. U. KHAN, Faizan Abdullah, Awais Akram, Rizwan Ali Naqvi, Mehwish Mehmood, Dildar Hussain*, and Toufique Ahmed Soomro, “A Scale Normalized Generalized LoG Detector Approach for Retinal Vessel Segmentation”, IEEE Access, vol. 9, 2021, pp. 44442 – 44452.
Sadaf Hussain, Rizwan Ali Naqvi, Sagheer Abbas, Muhammad Adnan Khan, Tanweer Sohail, and Dildar Hussain*, “Trait Based Trustworthiness Assessment in Human-Agent Collaboration Using Multi-Layer Fuzzy Inference Approach”, IEEE Access, vol. 9, 2021, pp. 73561 - 73574.
Nadeem Iqbal, Rizwan Ali Naqvi, Muhammad Atif, Muhammad Adnan Khan, Muhammad Hanif, Sagheer Abbas, and Dildar Hussain*, “On the image encryption algorithm based on the chaotic system, DNA encoding and Castle”, IEEE Access, vol. 9, 2021, pp. 118253 - 118270.
Irfan Ullah, Ihsan Ullah, Maroof Ali, Faran Durrani, Saad Ullah Khan, Dildar Hussain, Sultan Mehmood, Sami Ullah Khan, Manzoor Ullah, Khateeb Hussain, Saraj Bahadur, Ina Yosifova Aneva, and Rainer W. Bussmann, “Quantitative study of medicinal plants and biological activities of two common species used by inhabitants of district Bannu, Pakistan”, Acta Ecologica Sinica, vol. 43(2), 2023, pp. 271 – 287.
Nadeem Akram, Sharjeel Adnan, Muhammad Asif, Syed Muhammad Ali Imran, Muhammad Naveed Yasir, Rizwan Ali Naqvi, and Dildar Hussain*, “Exploiting the Multiscale Information Fusion Capabilities for Aiding the Leukemia Diagnosis Through White Blood Cells Segmentation”, IEEE Access, vol. 10, 2022, pp. 48747 - 48760.
Muhammad Ishaq, Salman Raza, Hunza Rehar, Shan e Zain ul Abadeen, Dildar Hussain, Rizwan Ali Naqvi 4, and Seung-Won Lee, “Assisting the Human Embryo Viability Assessment by Deep Learning for In Vitro Fertilization”, Mathematics, vol. 11(9), 2023, pp. 1 - 17.
Farbod Farhangi, Abolghasem Sadeghi-Niaraki, Jalal Safari Bazargani, Seyed Vahid Razavi-Termeh, Dildar Hussain, and Soo-Mi Choi, “Time-Series Hourly Sea Surface Temperature Prediction Using Deep Neural Network Models”, Marine Science and Engineering, vol. 11(6), 2023, pp. 1 - 18.
Muhammad Zubair, Muhammad Umair, Rizwan Ali Naqvi, Dildar Hussain*, Muhammad Owais, and Naoufel Werghi, "A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema", Journal of King Saud University-Computer and Information Sciences, vol. 35(8), 2023, 101719
Mehdi Hosseinzadeh¹, Dildar Hussain¹, Nemat Azimi, Farhan A. Alenizi, Behrouz Safaiezadeh, Omed Hassan Ahmed, Sang-Woong Lee, and Amir Masoud Rahmani, "Design and Simulation of Full-Subtractor Based on Quantum-Dot Cellular Automata Technology", AEU-International Journal of Electronics and Communications vol. 171 (x), 2023, 154927.
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