Ashir Javeed

Postdoc position

Department of Computer Science, Room J3341

Download:

Ashir Javeed received his BS in Software Engineering and MS in Computer Science. He has recently received his PhD in Software Engineering form University of Electronic Science and Technology, Chengdu, China. Dr. Javeed has conducted research in several areas including artificial intelligence, data mining and applications in the medical field for designing diagnostic systems to identify heart failure and schizophrenia disease.

Projects & Publications

Ongoing project
Long term prediction of dementia using machine learning

Recent publications
Ashir Javeed, Peter Anderberg, Ahmad Nauman Ghazi, Adeeb Noor, Sölve Elmståhl, Johan Sanmartin Berglund, "Breaking barriers", Frontiers in Bioengineering and Biotechnology, EISSN 2296-4185, Vol. 11, Frontiers Media S.A., 2024
Ashir Javeed, Peter Anderberg, Sarah Nauman Ghazi, Asim Javeed, Ana Luiza Dallora Moraes, Johan Sanmartin Berglund, "Optimizing Depression Prediction in Older Adults", International Conference on Control, Automation and Diagnosis, ICCAD 2024, Institute of Electrical and Electronics Engineers (IEEE), 2024
Asim Javed, Sadaqat Ali Ramay, Tahir Abbas, Ashir Javeed, Shabaz Saeed, Wasif Akbar, "Optimizing Mortality Prediction in Cardiac Patients Using Genetic Algorithm and Random Forest with Class Imbalance Handling", Dialogue Social Science Review (DSSR), ISSN 3007-3146, EISSN 3007-3154, Vol. 2, nr 3, pp. 162 - 175, Collaborative Educational Learning Institute, 2024
Ashir Javeed, Peter Anderberg, Muhammad Asim Saleem, Ahmad Nauman Ghazi, Johan Sanmartin Berglund, "Unveiling Cancer", International journal of imaging systems and technology (Print), ISSN 0899-9457, EISSN 1098-1098, Vol. 34, nr 6, John Wiley & Sons, 2024
Ashir Javeed, Muhammad Asim Saleem, Ana Luiza Dallora Moraes, Liaqat Ali, Johan Sanmartin Berglund, Peter Anderberg, "Decision Support System for Predicting Mortality in Cardiac Patients Based on Machine Learning", Applied Sciences, EISSN 2076-3417, Vol. 13, nr 8, MDPI, 2023