Artificial Intelligence and Cyber Security
Mehmet Fatih Zeyveli
BeyazNet CEO, Istanbul, Turkey
Artificial Intelligence and Cyber Security
In use of artificial intelligence and cyber security subjects, which are the most important technologies of today and the future, two different concepts emerge and these concepts should be evaluated separately.
- Artificial Intelligence Security
- Providing cyber security by using Artificial Intelligence
In order for AI to make the right decision, it must be trained with as much data as possible. The content used in this training process may also contain a large number of personal or confidential information. For this reason, AI also needs many security solutions such as masking, pseudonymization, Database Firewall for the protection of its own data.
On the other hand, cyber security is getting more and more difficult with the increasing number of digital applications and the exponential increase in content sizes and connection speeds. Threats are also getting smarter and more complex. It has become almost inevitable to use artificial intelligence for both monitoring systems and detecting malicious attacks. Many cyber security products have added artificial intelligence to their product features.
Mehmet Fatih Zeyveli was born in 1973 in Malatya. He graduated from METU Electrical-Electronics Engineering Department in 1995. He worked as a Research Assistant at Marmara University between 1995-1999. He completed his master's degree in ITU Electronics and Communication Engineering. He still continues his Doctorate education at Marmara University. He is currently working as the General Manager of BeyazNet company, of which he was one of the founding partners in 1997. He is also the Founding President of the Informatics and Innovation Association and is still the Chairman of the Board of Directors. He carries out active duties in various non-govermental organizations.
Clinically Accepted Artificial Intelligence Applications in Health Care
Prof.Dr. Ali Serdar FAK
Marmara University, Istanbul, Turkey
Examples of artificial intelligence-based medicine applications based on evidence will be given, and the relationship between technology - industry - medicine will be discussed by examining the conditions under which artificial intelligence and digital medicine technology are accepted clinically.
Professor of Marmara University Faculty of Medicine. Dr. Ali Serdar FAK is the director of our university's Hypertension and Atherosclerosis Education, Research and Application Center - HIPAM, which he was one of the founders of in 2011. Especially in the center, which was established with the mission of producing interdisciplinary projects, the Marmara University Student Heart Health Project was carried out by the Turkish Heart Foundation, Kadıköy Municipality, Cyclists Association, Department of Computer Engineering,
Faculty of Technology, and Department of Computer
Technologies,Vocational School of Technical Sciences. In addition to the WebAFis project, which is one of the sub-diffractions of cardiology and artificial intelligence, studies on the intersection of data mining methods, and the WebAFis project that received Pfizer Global support, “The clinical course, mortality, and ECG of the presence of cardiovascular disease of drugs used in hospitalized patients due to Covid-19. Implications on the findings: for the study of machine learning and data mining forecasting ”, it carries out its research with its team consisting of 25 experts from different branches in the field of health and informatics.
He is a founding member of the "Turkish Cardiology Association Digital Health Project Group". It is among the founders of the “Digital Transformation Initiative In Health” group in order to contribute to making Digital Transformation consciously and late in all areas of the health sector in our country.
Smart Grids and Demand Response
Prof.Dr. Pierluigi SIANO
University of Salerno, Salerno, Italy,
The increasing penetration of renewable energy sources and the empowerment of consumers as a central and active solution to deal with the generation variability are paving the path towards local energy markets. The tutorial is focused on the local smart electricity market where even small size consumers and prosumers can sell/buy the locally produced electrical energy or power to contribute to the balance of the power system. The local electricity market is managed by a commercial aggregator, organized as a Virtual Power Plant (VPP), that gathers the energy/power flexibility offered from its consumers/prosumers portfolio.
The proposed local smart energy market is managed by a cyber-physical platform based on blockchain, able to guarantee a real competitive behavior in the market and the mutual interactions between different systems (electrical system, telecommunication system, system for blockchain transactions), the aggregator and the industrial, commercial and domestic consumers and prosumers. Prosumers involved in the local market managed by the aggregator will optimally change their consumption patterns and power generation according to a price signal or an activation request to provide ancillary services.
Prof. Pierluigi Siano (M’09, SM’14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He received the award as 2019 Highly cited Researcher by ISI Web of Science Group.
He is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. His research activities are centered on demand response, on the integration of distributed energy resources in smart grids and on planning and management of power systems. He has co-authored more than 450 papers including more than 200 international journal papers that received more than 7600 citations with an H-index equal to 44. He has been the Chair of the IES TC on Smart Grids. He is Editor for the Power & Energy Society Section of IEEE Access, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Open Journal of the IEEE IES and of IET Renewable Power Generation. Editor of the journal Smart Cities, MDPI Publisher since 2018. Editor of Intelligent Industrial Systems, Springer 2014-2017
Guest Editor of IEEE Transactions on Industrial Electronics or Informatics for the following Special Sections:
- IEEE Transactions on Industrial Electronics, SS on Methods and Systems for a Smart Energy City 2017
- IEEE Transactions on Industrial Informatics, SS on Industrial and Commercial Demand Response 2017
- IEEE Transactions on Industrial Informatics and Transactions on Industrial Electronics, SS on New Trends in Intelligent Energy Systems 2013
- IEEE Transactions on Industrial Informatics, SS on Modeling and Simulation of Cyber-Physical Energy Systems 2013
- IEEE Transactions on Industrial Informatics, SS on Information Technologies in Smart Grids 2011
- IEEE Transactions on Industrial Electronics, SS on Smart Devices for Renewable Energy Systems 2010
- IEEE Transactions on Industrial Electronics, SS on Methods and Systems for Smart Grids Optimization 2009
- Journal of Internet Technology – SS on Industrial Applications of Big Data and Internet of Things 2015
Data Management – from simulation to digital twins in manufacturing
Prof.Dr. Terrence PERERA
Sheffield Hallam University, Sheffield, United Kingdom
Simulation is a well-established tool which is often used in design, operation, and re-design of manufacturing facilities. Two major elements of simulation models are systems logic and data. System logic describes the operations of the system under considerations and data supplies the required information to execute simulation. The management of data has been a real challenge since the simulation technology was invented. Gathering high-quality and reliable sets of data is a major overhead. It is argued that up to about 60% of simulation project efforts is consumed by data management activities. Now, the concept of digital twins is infiltrating the manufacturing industry. Busilding digital twins require a mix of real-time data and other static data. Given the digital twins aims to mirror real systems to the highest level of details, data quality is paramount. This presentation will cover challenges and solutions of data management issues in the journey from simulation to digital twins.
Prof Terrence Perera is a well-known academic, researcher and consultant in computer modelling and simulation. He has more than 30 years of experience in developing and delivering research and knowledge transfer projects in a range of industries including, aerospace, automotive, healthcare, food, postal services and logistics/supply chain sectors. His clients/research collaborators include BAE Systems, Siemens, Bosch, Sweden Posten, Sheffield’s Children Hospital and Fosters Bakery.
Professor Perera is one of the key architects of MSc Logistics and Supply Chain Management course, accredited by the Charted Institute of Logistics & Transport and the Chartered Institute of Procurement & Supply, delivered at Sheffield Hallam University. He is also a Visiting Professor of Simulation and Logistics & Supply Chain Management at several universities.