Dr. Adnan Nabeel Qureshi

Dr. Adnan Nabeel Qureshi

Dr. Adnan Nabeel Qureshi

Assistant Professor/HOD CS

DR.QURESHI@UCP.EDU.PK
Ext: 467

Dr. Adnan N. Qureshi received his Ph.D. from the Institute for Research in Applicable Computing, University of Bedfordshire, UK, in 2015. His research areas include artificial intelligence, bio-medical image and signal processing, machine learning and autonomous systems.

Ph.D. Computer Science Institute for Research in Applicable Computing, University of Bedfordshire, UK 2015
MBIT Human Resource Management Iqra University, Karachi, Pakistan. 2002
Master of Computer Science Computer Science The National College, Lahore, Pakistan. 1998
Assistant Professor/HOD CS University of Central Punjab 2016 to date
Visiting Lecturer, CATS FacultyUniversity of Bedfordshire, Luton, Bedfordshire, UK. 2015
Research Assistant CCGV, University of Bedfordshire, Luton, UK. 2013 – 2015
PADPAL University of Bedfordshire, Luton, Bedfordshire, UK. 2012 – 2013
Assistant Professor/HOD CS University of South Asia, Lahore, Pakistan. 2004 – 2011
1Qureshi, A. N. & Schetinin, V. (2013). Helping clinicians to read brain scans. University of Bedfordshire Research Conference 2013, Bedfordshire, UK.
2Maple, C., Prakash, E., Huang, W., & Qureshi, A. N. (2014). Taxonomy of optimisation techniques and applications. International Journal of Computer Applications in Technology, 49(3):251-262, DOI: https://doi.org/10.1504/IJCAT.2014.062361
3Qureshi, A. N. & Schetinin, V. (2014). Computer-aided segmentation and estimation of indices in brain CT scans. Medical Image Understanding and Analysis 2014, City University London, pp. 161-166.
4Soltaninejad, M., Lambrou, T., Qureshi, A. N., Allinson, N. & Ye, X. (2014). A hybrid method for haemorrhage segmentation in trauma brain CT. Medical Image Understanding and Analysis 2014, City University London, pp. 99-104.
5Qureshi, A. N. (2014). A framework for segmentation and estimation of intracranial measurements in CT scans. In Biomedical Engineering Conference (CIBEC), 2014 Cairo International, pp. 129-132, IEEE.
6Qureshi, A. N. (2015). Semi-automated Classification of CT Scans in Traumatic Brain Injury Patients. International Journal of Computer Applications, 113(9):1-8.
7Hassan, M. M., Qureshi, A. N., Moreno, A., & Tukiainen, M. (2017). Participatory Refinement of Participatory Outcomes: Students Iterating over the Design of an Interactive Mobile Learning Application. In Learning and Teaching in Computing and Engineering (LaTICE), 2017 International Conference on, pp. 76-81, IEEE
8Hassan, M.M. & Qureshi, A. N. (2017). Situating Adaptive Educational Hypermedia into the Local Context of Developing Nations, In Proceedings of 2nd International Conference on Communication and Information Systems (ICCIS 2017). ACM, New York, NY, USA, pp. 376-381. DOI: https://doi.org/10.1145/3158233.3159332
9Lodhi, Qureshi, A. N., A. M., Sharif, U. & Zahid, M. (2018). Detection of Myocardial Infarction in ECG Base Leads using Deep Convolutional Neural Networks, KIET Journal of Computing & Information Sciences (ICCIS-2018), PAF-Karachi Institute of Economics & Technology (PAF-KIET), Pakistan.
10Hassan, M.M. & Qureshi, A. N. (2018). Disrupting the Rote Learning Loop: CS Majors Iterating over Learning Modules with an Adaptive Educational Hypermedia, 14th Intelligent Tutoring Systems (ITS) Conference, Montreal, Canada, [978-3-319-91463-3, ITS 2018, Volume 10858 of the Lecture Notes in Computer Science, Chapter 8].
11Lodhi, A. M., Qureshi, A. N., Sharif, U. & Zahid, M. (2018). A Novel Approach using Voting from ECG Leads to Detect Myocardial Infarction, Intelligent Systems Conference (IntelliSys) 2018 IEEE, London, UK, pp. 884-890, [978-3-030-01056-0, IntelliSys 2018, AISC 869, Chapter 27].
12Iqbal, S., Qureshi, A. N. & Lodhi, A. M., (2018). Content Based Video retrieval using Convolutional Neural Network, Intelligent Systems Conference (IntelliSys) 2018 IEEE, London, UK, pp. 108-115, [978-3-030-01053-9, IntelliSys 2018, AISC 868, Chapter 12].
13Hassan, M. M., Qureshi, A. N., Moreno, A., & Tukiainen, M. (2018). Smart Learning Analytics and Frequent Formative Assessments to Improve Student Retention. In International Conference on Smart Communications and Networking (SmartNets) IEEE, Tunisia, ISBN: 978-1-5386-9202-8, pp. 1-6, DOI: 10.1109/SMARTNETS.2018.8707435
14Mahmood, A., Azzuhri, S. R., Kiah, L. B. & Qureshi, A. N. (2018). Wireless Backhaul Network Optimization using automated KPIs monitoring system based on Time Series Forecasting, The World Symposium on Communication Engineering (WSCE) 2018, Singapore, IEEE, ISBN: 978-1-5386-7985-2, pp. 27-32, DOI: 10.1109/WSCE.2018.8690543.
15Hassan, M. M., Tukiainen, M. & Qureshi, A. N., (2019). (Un) Discounted Usability: Evaluating Low-Budget Educational Technology Project with Dual-Personae Evaluators. In 8th International Conference on Software and Information Engineering, Egypt, ACM, ISBN: 978-1-4503-6105-7, pp. 253-258.
16Atteeq M, Khan M. F. & Qureshi A. N. (2019). Foetus Heart Beat Extraction from Mother’s PCG Using Blind Source Separation, 11th International Conference on Bioinformatics and Biomedical Technology (ICBBT 2019), Stockholm, Sweden, ACM, ISBN: 978-1-4503-6231-3/19/05, DOI: 10.1145/3340074.3340087.
17Khan M. F., Atteeq M & Qureshi A. N. (2019). Computer Aided Detection of Normal and Abnormal Heart Sound Using PCG, 11th International Conference on Bioinformatics and Biomedical Technology (ICBBT 2019), Stockholm, Sweden, ACM, ISBN: 978-1-4503-6231-3/19/05, DOI: 10.1145/3340074.3340086.
18Iqbal S., Qureshi A.N., Akter M. (2020) Using Local Binary Patterns and Convolutional Neural Networks for Melanoma Detection. In: Bi Y., Bhatia R., Kapoor S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038, pp 782-789, Springer, Cham.
19Mahmood, A., Kiah L. B., Z'aba, M. R., Qureshi, A. N., Kassim, M., Hasan, A. , Zati Hakim, Z., Jagadeesh, K., Iraj, S. A. & Azzuhri, S. R. (2020). Capacity and Frequency Optimization of Wireless Backhaul Network using Traffic Forecasting, IEEE Access (IF=4.098), pp. 23264 – 23276, DOI: https://doi.org/10.1109/ACCESS.2020.2970224

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