Proceedings of International Conference on Information Technology and Applications

Dr. Abrar Ullah is an Assistant Professor and Director of Postgraduate Studies at the School of Mathematical and Computer Science, Heriot Watt University, Dubai Campus. Abrar received the MSc (Computer Science, 2000) from University of Peshawar. Abrar received the Ph.D (Security and Usability) from University of Hertfordshire, United Kingdom. Abrar has been working in industry and academia for over 20 years. He has vast experience in teaching and development of enterprise systems. Abrar started his teaching career in 2002 as lecturer at the University of Peshawar and Provincial Health Services Academy Peshawar. In 2008, Abrar joined the ABMU NHS UK as Lead Developer and contributed to a number of key systems in the NHS. In 2011, Abrar joined professional services at Cardiff University as “Team Lead & Senior Systems Analyst” and led a number of successful strategic and national level projects. In the same period, besides his professional role, he also worked as lecturer of “Digital Media Design” for School of Medicine, Cardiff University. In 2017, Abrar held the role of lecturer at school of management and computer science, Cardiff Metropolitan University. He also held the role of “Lead Developer” at the NHS - Health Education and Improvement Wales (HEIW) until 2019. Abrar is General Chair of the 15th ICITA conference to be held in 13-14th Nov 2021 at Dubai UAE. His research interests are cross-disciplinary & industry focused. Abrar has research interest in Security Engineering, Information Security, Usability, Usable Security, Online Examinations and Collusion Detection, Applying Machine Learning techniques to solve real world security problems. Abrar has published over 16 research articles in prestigious conferences and journals.  Dr. Sajid Anwar is an Associate Professor at the Center of Excellence in Information Technology Institute of Management Sciences (IMSciences), Peshawar, Pakistan. He received his MS (Computer Science, 2007) and Ph.D degrees (Software Engineering, 2011) from NUCES-FAST, Islamabad. Previously, he was head of Undergraduate Program in Software Engineering at IMSciences. Dr. Sajid Anwar is leading expert in Software architecture engineering and Software maintenance prediction. His research interests are cross-disciplinary & industry focused and includes: Search based Software Engineering; Prudent based Expert Systems; Customer Analytics, Active Learning and applying Data Mining and Machine Learning techniques to solve real world problems. Dr. Sajid Anwar is Associate editor of Expert Systems Journal Wiley. He has been a Guest Editor of numerous journals, such as Neural Computing and Applications, Cluster Computing Journal Springer, Grid Computing Journal Springer, Expert Systems Journal Wiley, Transactions on Emerging Telecommunications Technologies Wiley, and Computational and Mathematical Organization Theory Journal Springer. He is also Member Board Committee Institute of Creative Advanced Technologies, Science and Engineering, Korea (iCatse.org) http://icatse.org/. He has supervised to completion many MS research students. He has conducted and led collaborative research with Govt. organizations and academia and has published over 45 research articles in prestigious conferences and journals. Dr. Álvaro Rocha holds the title of Honorary Professor, and holds a D.Sc. in Information Science, Ph.D. in Information Systems and Technologies, M.Sc. in Information Management, and BCs in Computer Science. He is a Professor of Information Systems at the ISEG - Lisbon School of Economics & Management, University of Lisbon. He is also President of AISTI (the Iberian Association for Information Systems and Technologies), Chair of the IEEE Portugal Section Systems, Man, and Cybernetics Society Chapter, and Editor-in-Chief of both JISEM (Journal of Information Systems Engineering & Management) and RISTI (Iberian Journal of Information Systems and Technologies). Moreover, he has served as Vice-Chairof Experts for the European Commission’s Horizon 2020 program, and as an Expert at the COST - intergovernmental framework for European Cooperation in Science and Technology, at the Government of Italy’s Ministry of Education, Universities and Research, at the Government of Latvia’s Ministry of Finance, at the Government of Mexico's National Council of Science and Technology, and at the Government of Polish's National Science Centre. Dr. Stephen Gill is Academic Head for the School of Mathematical and Computer Sciences at Heriot-Watt University’s Dubai campus. He teaches on a range of computer science subjects including information systems development, use of methodologies for developing software systems and on professional development skills. His research interests are in data mining particular interestingness measures He is also interested in student learning difficulties particularly in academic writing.

A convolutional neural network for artifacts detection in EEG data.- Real-World Protein Particle Network Reconstruction Based on Advanced Hybrid Features.- Improving Coronavirus (COVID-19) Diagnosis using Deep Transfer Learning.- Beard and Hair Detection, Segmentation and Changing Color Using Mask R-CNN.- Transfer Learning Method with Deep Residual Network for Covid-19 Diagnosis Using Chest Radiographs images.- Deep Learning Approach for COVID-19 Diagnosis Using X-Ray Images.- A hybrid approach for classifying Parkinson’s Disease from brain MRI.- Analysis of Generative Adversarial Networks for Data Driven Inverse Airfoil Design.- Deep Oversampling Technique for 4-level Acne  Classification in Imbalanced Data.- Decentralisation of FinTech Business Models.- Dynamic Offloading in Fog Computing: A Survey.- A Vietnamese Festival Preservation Application.- Knowledge Models For Software Testing In Robotics.- Performance Enhancement of SAC-OCDMA System Using an Identity Row Shifting Matrix Code.- Malware Prediction using using LSTM Networks.- Personalised Combination of Multi-source Data for User Profiling.- The teaching of technical design in technical courses in Computer Graphics at Federal Institutes of Education, Science and Technology.