Dr. TUFAN KUMBASAR
Tufan KUMBASAR is an Assistant Professor in the Department of Control and Automation and the Vice Dean of Faculty of Electrical and Electronics Engineering, Istanbul Technical University, Turkey. He is also the director of the ABB Process Control Laboratory at the Istanbul Technical University. His major research interests are in computational intelligence, notably type-2 fuzzy systems, fuzzy logic, neural networks, evolutionary algorithms and control theory. Dr. Kumbasar is also interested in process control, robotics and intelligent control and their real-world applications. His major research interests are in computational intelligence, notably type-2 fuzzy systems, fuzzy control, neural networks, evolutionary algorithms and control theory. He is also interested in process control, robotics, intelligent control and their real-world applications. He has currently authored more than 70 peer-reviewed papers in international journals, conferences and book chapters. Dr. Kumbasar received the Best Paper Award from the IEEE International Conference on Fuzzy Systems in 2015. Dr. Kumbasar has participated in leading positions in many national and international projects as principal, main investigator, researcher and academic consultant. He also works as a peer reviewer for more than 35 international journals such as IEEE Transactions on Fuzzy Systems, IEEE Transaction on Industrial Electronics and Applied Soft Computing. He has served as a Publication Co-Chair, Panel Session Co-Chair, Special Session Co-Chair, PC, IPC and TPC in various international and national conferences.
FUZZY LOGIC & COMPUTER GAMES
In the recent years, researchers have started giving more attention to computer games since they can be seen as ideal test-beds for the studies, especially for computational intelligence researches. In this talk, I will handle three popular computers, namely Flappy Bird Lunar Lander, The Open Racing Car Simulator (TORCS). The games inherent high level of uncertainties and randomness which are the main challenges of the games for a human player. Thus, they can be seen as challenging testbeds for benchmarking fuzzy logic control systems as they provide dynamic and competitive elements that are similar to real-world control engineering problems. As the game player can be considered as the main controller in a feedback loop, we will construct an intelligent control systems that is capable to imitate the game player by using Type-1 and Type-2 fuzzy logic. I will show that a fuzzy control structure is capable to handle the uncertainties caused by the nature of the games by presenting both simulations and real-time game results.
Dr. MUHAMMAD AQIL
Dr. Muhammad Aqil is an Associate Professor in the Departement of Electrical Engineering, Pakistan Insitiute of Engineering and Applied Sciences (PIEAS), Islamabad, Pakistan. Dr. Aqil has obtained undergraduate degree in Applied Physics with specialization in Electronics from University of Karachi, Pakistan followed by MS Control Systems Engineering from PIEAS. He got his PhD degree in Cogno-Mechatronics Engineering from Pusan National University, Pusan, Korea. Dr. Aqil has been granted various ICT R&D funds by Ministry of Information Technology, Pakistan to develop embedded systems for electrical control and biomedical applications. He has worked in CERN, Switzerland & France as a research associate in beam instrumentation group. The research interrest of Dr. Aqil includes embedded system design with standalone hardware, e.g., FPGAs; computational neuroscience for brain-machine interaction (BCI and BMI systems); cognitive science for effective brain (EEG, NIRS, fMRI, and multimodality) imaging.
REAL-TIME BRAIN-COMPUTER INTERFACING FOR MEDICAL, INDUSTRIAL AND GAMING APPLICATIONS
Brain-Computer Interfacing (BCI) is an emergent, multi-disciplinary and fast-growing technology aiming to build a direct connection between the human brain and a computer. As a brain is responsible for higher integrative abilities such as thinking, learning, production, and understanding of speech, memory, emotion etc., the BCI applications utilize the basic understanding of how the brain works. A BCI leads to have significant medical, industrial and gaming applications. Brain imaging, an important medical application of a BCI, provides diagnostic and therapeutic measurements for a brain impairment. Similarly, the industrial applications of a BCI include exoskeleton, brain controlled robot/wheel-chair, speller, piolet/driver assisting/alerting system etc. Brain controlled multimedia and gaming utilities are also attracting many researchers. The stated applications can generously be addressed with a real-time brain activity detection. Researchers paid due attention to detect brain activity in real-time. But it is still not achieved specially for multiple channels and fast sampling modalities. Our group have investigated various embedded packages to be deployed on a general purpose computer for online BCI applications. Currently, we have proposed a hardware-software co-designed standalone embedded system. The computationally efficient and cost effective system is implemented on a field programmable gate array platform for real-time multi-channel brain activity estimation probed with different measuring technologies. The proposed solutions have been tested with Near-Infrared Spectroscopy and Electroencephalography signals in real-time. In this talk, the journey towards Cognitive Science and Computational Neuroscience will be presented. Starting with the current trends and applications of BCIs in the world, e.g., NASA, emphasis will be given more to practical diagnostic and therapeutic applications besides the other industrial solution of BCIs. Advantageous of real-time BCIs will be presented followed by the bottlenecks in achieving it. The current challenges and their possible solutions will be discussed in detail. The validation of the investigated real-time brain imaging system will be demonstrated and future lines of research will be conferred.
Dr. KORHAN CENGİZ
Dr. Korhan Cengiz was born in Edirne, Turkey in 1986. He received the B.S. degree in Electronics and Communication engineering from the Kocaeli University, Kocaeli, Turkey in 2008. He received the Ph.D. degree in electronics engineering from the Kadir Has University, Istanbul, Turkey in 2016. From 2016 to 2017, he was a Lecturer Doctor and Department Head of Electronics in the Electrical- Electronics Engineering, Trakya University, Edirne, Turkey. Since 2018, he has been a Assistant Professor at the department of Telecommunications in Electrical-Electronics Engineering Trakya University, Edirne, Turkey. He is the author of more than 30 articles in IEEE Conferences and Journals. His research interests include 5G Networks, Wireless Sensor Networks, Routing Protocols, Wireless communications, and Spatial Modulation. Dr.Cengiz’s awards and honors include the Tubitak Priority Areas Ph.D. Scholarship, ICAT 2016 Conference Best Presentation Award and Kadir Has University Ph.D. Student Scholarship.
EXAMINING POTENTIAL NEXT GENERATION TECHNOLOGIES FOR 5G NETWORKS
The number of wireless network users are increasing day by day due to the offered services; world-wide web, Internet of Things (IoT), device to device (D2D) and machine to machine (M2M) communication, cloud based applications and services. People always want have more uplink-downlink data rates, improved quality of services (QoS), better internet and mobile experience (QoE), better video streaming. As a result, these demands bring out extremely high data traffic on mobile networks. Therefore new mobile system is required to answer these demands. Researchers and developers predict that 5G can be a suitable candidate for these demands. 5G heterogeneous cellular network architecture is completely a new concept from previous generations of mobile systems because it requires a new infrastructure. Hence, some key technologies and new ideas which are massive MIMO, Spatial Modulation (SM), Mobile Femtocell (MFemtocell) and Visible Light Communication (VLC) are being tried to develop for 5G wireless cellular networks nowadays by many researchers. These technologies and ideas offer some innovations and improvements to traditional mobile communication systems in terms of low latency, reliability, easier handover, higher data rates for high mobility users, less signaling overhead on the network, minimizing noise and fading effects, low cost, power communications, ultra-dense communications, high throughput and energy and spectral efficiency. Besides, these technologies and new ideas also bring along new challenges that we need to solve. Therefore, in this keynote talk, we will discuss these novel technologies, open issues and challenges for 5G Networks.
Dr. ANASOL PENARIOS
Dr. Anasol Peña-Rios is a Research Fellow at British Telecom Research Labs in Adastral Park (UK), and a Knowledge Transfer Associate in the University of Essex (UK) partnership with British Telecom; role for which she was awarded Best Associate in 2016. Her current research focuses on the advancement of solutions for real-time support, collaboration and training via immersive technologies; embedding knowledge of computational intelligence, augmented reality and intelligent environments. Anasol’s work contributed to BT winning a Global Telecoms Business Innovation Award in June 2017, and the 2017 Outstanding Organisation Award given by the Institute of Electrical and Electronics Engineers (IEEE) Computational Intelligence Society (CIS) in July 2017. She is a Member of the IEEE, the British Computer Society and the Association for Learning Technology; in addition to serving as Board Member of the Immersive Learning Research Network. She also works as an associate editor for MERLOT (Multimedia Educational Resources for Learning and Online Teaching) Computer Science Task Force. Her other professional contributions include numerous paper publications, in addition to serve as chair and co-organiser of numerous academic conferences. Anasol’s research interests lie in the areas of mixed, augmented and virtual reality, artificial intelligence, ambient intelligence, internet-of-things, cyber-physical systems, computer-supported collaborative work, technology-enhanced learning, and HCI. She has several years’ professional experience in financial institutions and retail companies, working in close collaboration with international multidisciplinary teams. For more information, please visit http://prlosana.com .
IMMERSIVE TECHNOLOGIES IN FIELD SERVICE OPERATIONS
Increasing complexity in field service operations (FSO) have brought the need of upskilling employee’s working efficiency, which represents a big challenge for companies and employees themselves. Service 4.0 aims to support and promote innovation in service operations using emergent technology. In this regard, immersive technologies such as mixed and augmented reality have the potential to enhance service operations, with the goal of improving customer service and increasing overall efficiency. By combining them with computational intelligence (CI) mechanisms to produce adaptive context-aware environments for advanced decision-support, these solutions can lead to a much faster knowledge transfer and a deeper understanding of different processes using active learning mechanisms. Starting with current trends in augmented and mixed reality for real-world applications, this talk will present part of the research done between the University of Essex and British Telecom as part of a Knowledge Transfer Project (KTP) for upgrading current service operations to achieve Service 4.0.
MERT CAN ALICI
Mert Can ALICI is an R&D Engineer working on mainly mobile threats and their detection mechanism based on machine learning algorithms. His main focus is Android malicious applications and security risks in Android operating system. He works at Zemana which provides the prevention products with unique and innovative protection mechanism against malicious activities. Also, he was co-founder of Octosec Security Group which helps security community to level up their skills. He attended both national and international security contests and conferences with Octosec Security Group. He received winner prize in Crack the Door contest organized by Milsoft which was about reversing x86 binaries and finding the right key for the door. He received second and third prizes in local security contests named SiberMeydan by TUBITAK. Mert Can worked on Augmented Reality for his undergraduate project. His project topic was "Augmented Reality Based Desktop History Lecture: Wonders of the World with Animated Agents" which aimed to help to students to learn the Wonders of the World just by interacting them on their mobile devices. The only wonder of the world which remains today is that Great Pyramid at Giza, therefore teaching those wonders in the most realistic forms like augmented reality models makes them more important for the learning context.
DETECTION MECHANISMS FOR RECENT MOBILE MALWARE
Malware authors have been focused on Android operating system since 2011. The operating system has dominated the mobile operating system market by 87 percentage of market share. That causes malware authors to publish new 100.000 mobile malware each month just for Android operating system. Those threats can harm mobile users in different aspects such as stealing their money, stealing their private information, disturbing them with advertising content and etc. On the other hand, antivirus vendors try to catch and fight against those threats. Malware evolve day by day and it makes antivirus products evolve to detect their complex obfuscated malicious activities and their antivirus bypass techniques as well. That is a war between antivirus vendors and malware authors. Antivirus vendors can detect a single mobile malware using static detection techniques, dynamic detection techniques and anomaly detection techniques. While those techniques and correlation of those techniques can help to protect against advanced mobile malware, as a mobile operating system, Android has some limitations to not let antivirus vendors to develop those techniques such as limited battery power, low processing unit, security concept of operating system and etc.