Dr. Hussain Rabia
Managing Director (MD) of Entrac Petroleum, Reading, UK
Keynote Speech title: ”Preparation of Future Petroleum Engineers”
Keynote Speech: Abstract
Dr Hussain Rabia was born in Kadhymiah, Iraq and graduated from Kadhymiah Secondary
School. Dr Hussain Rabia completed his Bachelor degree in England and graduated from Leeds University, England with a BSc First Class Honours degree and a PhD in Drilling
Engineering, also from Leeds University, England. Dr Rabia has over 36 years continuous experience in the oil industry. He has served on several committees and conferences worldwide and was secretary and then chairman of the Drilling Engineering Association( Europe).Dr Rabia worked for a number of Oil companies including British Gas ( was Well Engineering Manager), ADCO ( UAE), Aramco ( Saudi Arabia) and several other companies as an in-house senior consultant. Dr. Rabia also served on the Technical Board for UK National Grid to deal with the technology of injecting and storing CO2 in deep wells. Dr. Rabia has been involved in over 300 wells from all over the world either at the design stage, supervision or both. Dr. Rabia has supervised wells in the North Sea, Abu Dhabi, Saudi Arabia, Tunisia, Bulgaria, Russia and Pakistan. Dr. Rabia wrote three text books on well drilling, casing design and rig hydraulics. Dr. Rabia has delivered training courses to every major oil and service company in the world. His latest fourth book is on Well Control. This fourth book is his latest contribution to the oil industry and is designed to improve safety in the oil industry by helping field engineers to solve field well control problems and also prepare for the IWCF well control test for the purpose of international certification.
Prof. Dr. Merak Salamak
Professor at the Silesian University of Technology (SUT) in Gliwice, Poland
Keynote Speech title: “BIM methodology as the first step to the digitization of the construction industry”‘
Keynote Speech: Abstract
The limitations of traditional construction in the face of digital transformation. The role of BIM in the digitization of the construction industry. Changes to conventional design and construction processes. Gradual digitization of the construction industry in the world. Critical infrastructure investments in terms of their digitization. BIM in the life cycle of civil structures and facilities. A comprehensive approach to essential infrastructure resources. Computational, generative and optioneering design. Optimization algorithms and machine learning in the selection of design solutions. Bridge digital twins. BIM in education and promotional activities.
Associate Professor DSc CEng Marek SALAMAK (born 1965 in Poland) – the expert in bridge structures, structural mechanics, diagnostics of civil structures, CAD, BIM, digital twins and construction. Professor at the Silesian University of Technology (SUT) in Gliwice, Poland. He conducted research on damping phenomena in footbridges and modelling of bridge solids kinematics in areas exposed to ground deformations caused by mining and tunnelling. At present, he is interested in the field of Infrastructure Asset Management, BIM and Augmented Reality for visual inspection of civil structures. The organizer and quality manager of bridge test laboratory accredited according to ISO 17025. He is author or co-author of over 150 publications and fundamental book “BIM in a bridge life-cycle” (in Polish).
In 1984-1990 he studied at the Faculty of Civil Engineering of SUT. He received a Ph.D. degree in 2003 and DSc in 2014 at the same University. At present he is employed at the SUT in the Department of Mechanics and Bridges lecturing CAD and BIM technologies, bridge designing and construction, inspections, and maintenance of bridges, bridge management systems. The position of associate professor received in 2016. He took in several internships like VIA University College, Horsens (Denmark), University of Coimbra (Portugal) and the Budapest University of Engineering and Economics (Hungary). Asia-Link project coordinator for the Introduction and Adoption of International Systems and Standards for the Inspection and Supervision of Bridges for Vietnam and Laos. Together with Dr. Z. Perski from Polish Geology Institute he took part in R&D project from Italian Space Agency on Application of high-resolution SAR data for the monitoring of highway and railway bridges in the areas affected by terrain deformation using SAR interferometric techniques. He is currently Early Stage Researcher’s scientific supervisor in INFRASTAR Project H2020-MSCA-ITN-2015 – Innovation and Networking for Fatigue and Reliability Analysis of Structures – Training for Assessment of Risk. Scientific Manager in the project of the use of BIM technology and the broadened reality of AR in the planning and inspection of technical infrastructure facilities with the use of the InfraSmARt-Inspection mobile application. He was the manager and content supervisor of the Best Bridges to Industry 4.0 project under the Best of the Best 3.0 program in Polish Ministry of Science and Higher Education. Associate-Editor of Publisher and Research Center BIM Arabia and International Journal of BIM and Engineering Science (IJBES)
Prof. Dr. Bekir KARLIK
PROFESSOR AND SENIOR RESEARCH SCIENTIST
Keynote Speech title: ”New developments in myoelectric controlled arm prosthesis”
Keynote Speech: Abstract
Myoelectric controlled arm prostheses are used to help eliminate the deficiency caused by arm loss. For this purpose, at first each arm movements are obtained from EMG signals with surface electrodes placed on biceps or triceps muscles. Then these movements are classified by using signal processing, feature extraction and machine learning respectively . With the servo motors connected to the machine learning output, the desired movements of the prosthesis are derived. Recently there were some new developments in arm prosthesis according to technological software and hardware innovation. In this presentation, the advantages and disadvantages of these new developments will be discussed.
Significant experience on AI, machine learning and deep learning, biomedical pattern recognition, biometric recognition, data mining, big data processing, electronic nose and its applications, computer vision, digital signal and image processing, advanced analog and digital electronics, and mechatronics measurement system. Developed several supervised and unsupervised machine learning and deep learning algorithms to solve different medical, business and industrial problems. Some of the previous research projects are; Fast Recognition of ECG Arrhythmias, An Image Interpreter for Vision-Based Logic Control of Manufacturing Plant, Fuzzy Clustering Neural Network Architecture for Multi-Function Prosthesis Control, E-nose applications on Food Quality and Safety, Transmission of Olfactory Information, Forecasting of Natural Gas Consumption in Istanbul, Concealed Weapons Detection, Intelligent Detection System for Hazardous Gases: An Application, Machine Learning Applications on Operative Factors Associated with Surgical Expertise in Virtual Reality Simulation. Have three patents which are: Continuously Monitoring Tools to Assess and Enhance Human Performance While Providing Error Avoidance Systems, US Patent application (US 62/821/091). Image Processing Based Smart Phase Analysis of Materials, and Materials Classification (TR2015/05312), Smart Dress for Rescue Teams (2016/01355).Share: