Dr. Mohamed Elhoseny
Mansoura University, Egypt
Speech title: Smart Sensors and Industrial Internet of Things (IIoT): New Research Directions
Abstract: Due to the extensive use of Internet of Things (IoT) applications in Smart Cities and industrial communities, the smart sensor-based applications had been transferred to being real-time data processing systems that adopt the traditional data processing approach to high-performance computing systems. The main characteristics of modern physical systems that are mainly used in sensors applications is that they are becoming increasingly interconnected and more challenging to maintain. Due to the increase in these applications size, complexity and the number of components, it is no longer practical to anticipate and model all possible interactions and real-time data processing in these applications using the traditional data processing model. Centralized processing of this real-time data is very inefficient and expensive. In some cases, it may even be impractical and subject to security risks. Algorithms are required to make sense of data automatically and inefficient ways. Nonetheless, even though smart sensor-based applications performance is improving, they are not suitable to keep up with the increase in the demand for IoT based real-time data processing and the data size. Moreover, the main memory of sensor processors may not be enough to hold all the data in multimedia applications. This talk aims to provide an exhaustive review on the challenges of applying smart sensors real-time data processing algorithms to improve the performance of IoT-based applications.
Bio. Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University. Dr. Elhoseny authored/co-authored over 100 ISI Journal articles, Conference Proceedings, Book Chapters, and (10) books published by Springer and Taylor& Francis. His research interests include Sensors Technologies, Network Security, Internet of Things, and Artificial Intelligence Applications. Dr. Elhoseny serves as the Editor-in-Chief of International Journal of Smart Sensor Technologies and Applications, IGI Global. Besides, he is an Associate Editor of prestigious journals such as Scientific Reports- Nature, IEEE Access, IEEE Future Directions, PLOS One journal, Remote Sensing, and International Journal of E-services and Mobile Applications, IGI Global. Also, he is an Editorial Board member in several journals such as Applied Intelligence, Springer. Dr. Elhoseny is the Editor-in-Chief of the Studies in Distributed Intelligence Springer Book Series, the Editor-in-Chief of The Sensors Communication for Urban Intelligence CRC Press-Taylor& Francis Book Series, and the Editor-in-Chief of The Distributed Sensing and Intelligent Systems CRC Press-Taylor& Francis Book Series. He has been awarded the Egypt National Prize for Young Researchers in 2018 and the best Ph.D. thesis in Mansoura University in 2015. Besides, he is a TPC Member or Reviewer in 50+ International Conferences and Workshops. Furthermore, he has been reviewing papers for 80+ International Journals including IEEE Communications Magazine, IEEE Transactions on Intelligent Transportation Systems, and more...
Prof. Kostas J. Kyriakopoulos
National Technical University of Athens, Greece
Speech title: The Quest for Provable Cooperation in Autonomous Systems
Abstract: Our presentation is centered around the development of provable cooperation schemes for sensor-based motion planning and interaction control of autonomous systems. Our goal is to design sound interfaces of our provable techniques with higher-level machine-intelligence based decision making schemes with the purpose of minimizing explicit communication. We address a decentralized motion planning & control architecture for cooperative loading task using heterogeneous robots operating in a constraint workspace with static obstacles. The optimal loading configuration is selected considering the connectivity of the space and the distance between the robots. A motion control scheme for each agent is designed and implemented in order to autonomously guide each robot to the desired loading configuration with guaranteed obstacle avoidance and convergence properties. The performance of the proposed strategy is experimentally verified in a variety of loading scenarios. We continue witha novel distributed leader-follower architecture for Cooperative Manipulation of Multiple Underwater Vehicle Manipulator Systems (UVMS) under Lean Communication. The leading UVMS, which has knowledge of the desired trajectory, tries to achieve tracking behavior via an impedance control law, leading the overall formation towards the goal configuration while avoiding collisions with the obstacles. The following UVMSs estimate the object’s desired trajectory via a novel prescribed performance estimation law and implement a similar impedance control law. No explicit data is exchanged online among the robots. Various simulations and experiments clarify the proposed method and verify its efficiency.
Bio. Kostas J. Kyriakopoulos received the Diploma in mechanical engineering (honors) from the National Technical University of Athens (NTUA), Athens, Greece, in 1985 and the M.S. and Ph.D. degrees in electrical, computer and systems engineering (ECSE) from Rensselaer Polytechnic Institute (RPI), Troy, NY, USA, in 1987 and 1991, respectively.,From 1988 to 1991, he was with the NASA Center for Intelligent Robotic Systems for Space Exploration. From 1991 to 1993, he was an Assistant Professor with ECSE-RPI and the NY State Center for Advanced Technology in Automation and Robotics. Since 1994, he has been with the Control Systems Laboratory of the Mechanical Engineering Department, NTUA, where he currently serves as a Professor and the Director. His research interests include nonlinear control systems applications in sensor-based motion planning and control of multirobotic systems: manipulators and vehicles (mobile, underwater, and aerial) and micro- and biomechatronics. He has authored/coauthored about 280 papers to journals and refereed conferences, while has contributed to a large number of projects funded by the EC and the Greek secretariat for Research and Technology.,Prof. Kyriakopoulos is a Fellow of the IEEE Robotics and Automation Society. (Based on document published on 24 May 2018).
Prof. Dr. Erhan Budak
Faculty of Engineering and Natural Sciences, Sabanci University, Turkey
Speech title: Machining Process Modeling and Simulation
Abstract: Machining is a commonly used manufacturing process in many industries such as automotive, aerospace, energy, die and mold, medical etc. due to its flexibility and ability to produce high quality parts. Although there have been significant advances in machine tool, control and CNC, CAD/CAM and cutting tool technologies over the last couple of decades, the productivity in these processes is still limited due to the process related problems such as excessive cutting temperatures and forces, process instability and chatter vibrations, part/tool/machine deflections etc. Current CAM systems or CNCs do not provide solutions to these problems. Process models (or digital twins), on the other hand, can be used to predict, avoid or reduce these problems through determination of the appropriate process conditions. In this talk, a brief overview of machining process modeling fundamentals such as chip formation mechanics, shearing, friction etc. will be given, and their use in calculation of process forces will be presented with examples. As one of the main and common problems in machining, cutting dynamics and stability will be explained through process-structure interactions where effects of structural dynamics and process conditions will be presented. Commonly used chatter suppression methods will be demonstrated with examples. Implementation of the models for production process simulations will be discussed, and process optimization will be demonstrated through industrial application examples. Modeling and simulation of special machining operations such as simultaneous turning/milling and turn-milling will also so be presented. The presentation will be concluded with future aspects machining process modeling and simulation.
Bio. Dr. Budak has been working on various aspects of machining processes and machine tools for 3 decades. After receiving B.Sc. (1987) and M.Sc. (1989) from the Middle East Technical University, Dr. Budak completed his Ph.D. (1994) at the University of British Columbia in Manufacturing Automation Lab. He then worked for Pratt & Whitney Canada as manufacturing development engineer until 2000 focusing on turbine engine manufacturing. He joined Sabanci University as a faculty member in 2000 and founded Manufacturing Research Lab (http://labs.sabanciuniv.edu/mrl/). In 2003, he was awarded the Taylor Medal by CIRP (www.cirp.net) for his work on high performance machining of turbine engine impellers and blisks. He is the founder of a spin-off company, Maxima Manufacturing R&D, which develops and implements machining solutions for various industries. He has authored/co-authored more than 200 articles and papers in conference proceedings receiving around 9000 citations with h-index of 45 (Google Scholar). He is a fellow of CIRP (currently Chair of Scientific Committee on Machines), associate/regional editor and editorial board member of several journals. His areas of interest include machining processes and machine tools, intelligent manufacturing, process modelling and simulation, high precision/ performance manufacturing and machine dynamics. Recently, Dr. Budak received Mustafa Parlar “Science Award” (December 2018) based on his contributions to the machining research.