(Marijn van Knippenberg, Mike Holenderski, Vlado Menkovski)
(Ivan Pisa, Antoni Morell, Ramon Vilanova, Jose Lopez Vicario)
(Vincent Della-Libera, Alvaro Llaria, Guillaume Terrasson, Octavian Curea)
(Firas Zoghlami, Philip Kurrek, Mark Jocas, Giovanni Masala, Vahid Salehi)
Firas Zoghlami is a PhD Student at the School of Engineering, Computing and Mathematics in the University of Plymouth, UK. He is currently working as a post graduate researcher in the Munich University of Applied Sciences and in the instituteof Engineering Design of Mechatronic Systems and PL Min Munich. He holds a master’s degree in Electrical Engineering and Information Technology from the Technical University of Munich.His research field is the deep learning based robotic perception in industrial environments such as manufacturing intralogistics. He focuses in his PhD on the post gripping perception in dynamic and unstructured environments of industrial robots based on image data and supervised and especially unsupervised machine learning techniques.
(Flávia Pires, Victória Melo, João Almeida, Paulo Leitão)
Flávia Pires graduated from the Polytechnic Institute of Bragança in 2016, since then she is a researcher in CeDRI (Research Centre in Digitalization and Intelligent Robotics) in the areas of data analysis and digitalisation. She has published in international conferences and has participated in national and international research projects, such as DA.RE, GO0DMAN, PERFoRM and I4.0@TMAD. In 2018, started her PhD in Electrical and Computer Engineering, at the Faculty of Engineering from the University of Porto, on the area of industrial Digital Twins for decision support by integrating AI-based methods. Her main research areas of interest are in the field of Industry 4.0, Digital Twin, Simulation, Data Analysis and Decision Support Systems.
(Jie Fan, Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Andreas Spanias)
Andreas Spanias is Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU). He is also the director of the Sensor Signal and Information Processing (SenSIP) center and the founder of the SenSIP industry consortium (also an NSF I/UCRC site). His research interests are in the areas of adaptive signal processing, speech processing, machine learning and sensor systems. He and his student team developed the computer simulation software Java-DSP and its award-winning iPhone/iPad and Android versions. He is author of two textbooks: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.). He contributed to more than 300 papers, 7 monographs 9 full patents, 6 provisional patents and 10 patent pre-disclosures. He served as Associate Editor of the IEEE Transactions on Signal Processing and as General Co-chair of IEEE ICASSP-99. He also served as the IEEE Signal Processing Vice-President for Conferences. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and was elected Fellow of the IEEE in 2003. He served as Distinguished Lecturer for the IEEE Signal processing society in 2004. He is a series editor for the Morgan and Claypool lecture series on algorithms and software. He received recently the 2018 IEEE Phoenix Chapter award with citation: “For significant innovations and patents in signal processing for sensor systems.” He also received the 2018 IEEE Region 6 Educator Award (across 12 states) with citation: “For outstanding research and education contributions in signal processing.” He was elected recently as Senior Member of the National Academy of Inventors (NAI).
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