Ali Hussain
Email: alihussainnrana@gmail(dot)com | alihussain4541@live(dot)inje(dot)ac(dot)kr

Google Scholar | Research Gate | Linkedin | ORCiD |

I am currently a PhD Researcher at Inje University, South Korea. I received my BS degree in Computer Science in 2019 and my Master's degree from Inje University, South Korea, in 2022. My research interests include artificial intelligence, machine learning, deep learning, medical imaging, WSI image analysis, weakly supervised learning, Multiple instance learning, and self-supervised learning. One of the big and interesting projects I am currently working on as a team lead is digital histopathology. I am working with different medical institutions and companies to diagnose different kinds of cancers, such as gastric, liver, and colon. In this project, we are researching to come up with tangible solutions for cancer diagnosis using state-of-the-art AI approaches like self-supervised models, weakly supervised, vision transformers, foundation models, etc.

Research Interests :

Artificial Intelligence
Machine Learning
Deep Learning
Weakly Supervised Learning
Foundation Model
Self-supervised Learning
Digital Histopathology
Whole slide Image (WSI) Analysis
Computer Vision

Generative AI
Diffusion Model
Multi-modal AI
Large Language Models (LLMs)
Vision-Language Models (VLMs)

Education

PhD, Inje University South Korea Sept 2022– Present

Major: Artificial Intelligence in Healthcare

CGPA: 4.38/ 4.5

MS Computer Science, Inje University South Korea March 2020–Aug 2022

Major: Machine Learning and Deep Learning

Cumulative GPA: 4.40 / 4.5

Bachelor of Science in Computer Science (BSCS), Government College University Faisalabad (GCUF) Sept 2015– Aug 2019

Major: Computer Science

Cumulative GPA: 3.29 / 4.0

HONOURS & WARDS

Sept 2020- Present | Brain Korean Scholarship from the Government of South Korea (BK).

Extra allowance from various kinds of R&D industry projects.

Certificates for reviewing research papers from different Journals i.e, IEEE, Elsevier, Springer

Publications

1- Ali Hussain, Sikandar Ali, Abdullah, Hee Cheol Kim "Activity Detection for the wellbeing of dogs Using Wearable Sensors based on Deep Learning.’ DOI: 10.1109/ACCESS.2022.3174813.

2- Ali Hussain, Sikandar Ali, Moon-Il Joo, Hee Cheol Kim “A Deep Learning Approach for Detecting and Classifying Cat Activity to Monitor and Improve Cat’s Well-being using Accelerometer, Gyroscope, and Magnetometer” IEEE Sensors Journal (SCI-Q1, IF: 4.3) [2023]. DOI= 10.1109/JSEN.2023.3324665

3- Ali Hussain, Hee-Eun Choi, Hyo-Jung Kim, Satyabrata Aich, M. Saqlain, Hee Cheol Kim “Forecast the Exacerbation in Patients of Chronic Obstructive Pulmonary Disease with Clinical Indicators Using Machine Learning Techniques” Diagnostics 11(829):829: (SCI-E, IF: 3.70) [2021].

https://www.mdpi.com/2075-4418/11/5/829

4- Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah and Hee-Cheol Kim, “ Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model” Sensors 2022, 22(24), 9983; https://doi.org/10.3390/s22249983

5- Ali Hussain, Khadija Begum, Tagne Poupi Theodore Armand, Md Ariful Islam Mozumder, Sikandar Ali, Hee Cheol Kim, Moon-Il Joo “Long Short-Term Memory (LSTM)-Based Dog Activity Detection Using Accelerometer and Gyroscope” Appl. Sci. 2022, 12(19), 9427; https://doi.org/10.3390/app12199427

6- Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim “Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security” Sensors 2023, 23(2), 565; https://doi.org/10.3390/s23020565

7- Abdullah, Sikandar Ali, Ziaullah Khan, Ali Hussain, Ali Athar, Hee-Cheol Kim “ Computer Vision Based Deep Learning Approach for the Detection and Classification of Algae Species Using Microscopic Images” Water 2022, 14(14), 2219; https://doi.org/10.3390/w14142219

8- Ali Hussain; Ikromjanov Kobiljon Komil Ugli; Beom Su Kim; Minji Kim; Harin Ryu; Satyabrata Aich; Hee-Cheol Kim “Detection of Different stages of COPD Patients Using Machine Learning Techniques” 23rd International Conference on Advanced Communication Technology (ICACT), PyeongChang, Korea (South). DOI: 10.23919/ICACT51234.2021.9370958

9- Ali Hussain, Sikandar Ali, Abdullah, Athar Ali, M.Mohsin, Hee Cheol Kim. “ Analysis of Pet Activity Using Sensor Data with a Machine Learning Algorithm” The 14th International Conference on Future Information & Communication Engineering (ICFICE). January -12-2022, Jeju. (Best Paper Awarded)

10- Sikandar Ali, Ali Hussain, Satyabrata Aich, Moosuk Park, Man Pyo Chung, Sung Hwan Jeong, Jin-Woo Song, Jae Ha Lee *, Hee-Cheol Kim* “A Soft voting ensemble-based model for the early prediction of idiopathic pulmonary fibrosis (IPF) disease severity in lungs disease patients [2021]” Life (SCI-E, IF: 3.81) [2021]. Life 2021, 11(10), 1092; https://doi.org/10.3390/life11101092

11- Abdullah, Ali Sikandar, Ali Hussain, Satyabrata Aich, Hee-Cheol Kim, Mangle Sain, Hee-Cheol Kim* “Hybrid Based Model Face Shape Classification Using Ensemble Method for Hairstyle Recommender System”. DOI: 10.1007/978-981-16-9480-6_7

12- Muhammad Mohsan Sheeraz, Ali Athar, Ali Hussain, Satyabrata Aich, Moon-Il Joo, Hee-Cheol Kim “Blockchain, AI & IoT Based COVID-19 Contact Tracing and Distancing Framework” 2021 International Conference on Robotics and Automation in Industry (ICRAI). DOI: 10.1109/ICRAI54018.2021.9651350

13- Ali Hussain; Ali Athar; Armand Poupi; Sikandar Ali; Md Ariful Islam Mozumder; Hee-Cheol Kim “Metaverse in Manufacturing Using Emerging Technologies: An Overview For The Smart Industry 4.0” International Conference on Intelligent Metaverse Technologies & Applications (iMETA2023), Tartu, Estonia. DOI: 10.1109/iMETA59369.2023.10294683

14- Ali Athar; Md Ariful Islam Mozumder; Kounen Fathima; Ali Hussain; Sikandar Ali; Hee-Cheol Kim “Anxiety and Depression Detection and Rehabilitation in the Metaverse: A BERT-Based Recommendation System” International Conference on Intelligent Metaverse Technologies & Applications (iMETA2023), Tartu, Estonia. DOI: 10.1109/iMETA59369.2023.10294837

15- Ikromjanov Kobiljon Komil Ugli, Ali Hussain, Beom Su Kim, Satyabrata Aich, Hee-Cheol Kim “A Transfer Learning Approach for Identification of Distracted Driving” 23rd International Conference on Advanced Communication Technology (ICACT), PyeongChang, Korea (South). DOI: 10.23919/ICACT51234.2021.9370746