Ashir Javeed

Postdoc position

Department of Computer Science, Room J3341

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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, Liaqat Ali, Redhwan Nour, Adeeb Noor, Noorbakhsh Amiri Golilarz, "Handwriting-Based Detection of Schizophrenia and Bipolar Disorder Using Machine Learning", IEEE Sensors Journal, ISSN 1530-437X, EISSN 1558-1748, Vol. 25, nr 5, pp. 9113 - 9120, Institute of Electrical and Electronics Engineers (IEEE), 2025
Ashir Javeed, Anton Borg, Håkan Grahn, Lars Lundberg, Dhyey Patel, Sogand Shirinbab, "Improving Cloud Efficiency", Proceedings - 2025 8th International Conference on Data Science and Machine Learning Applications, CDMA 2025, Institute of Electrical and Electronics Engineers (IEEE), 2025
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