7th International Conference on
Robotics and Artificial Intelligence

Bijan Tadayon (Ph.D., JD) has been involved with several startup hi-tech companies and their technologies. Currently, his focus is on research and development in artificial intelligence, pattern recognition, classifiers, machine learning, neural networks, efficient/fast image analysis/processing algorithms, deep image analysis, video analysis, object recognition, face recognition, soft computing, information theory, analytics, Big Data analysis, information reliability, search engines, and application of images in ad networks. For 5 years, he was the one of the inventors and the Director of Intellectual Properties at ContentGuard, Inc., a major DRM company, which is a Xerox-PARC spin-off, jointly invested by Microsoft, Time Warner, and Thomson. He co-founded an educational multi-media software game company. He worked for the US Naval Research Lab for more than 5 years, as a semiconductor researcher. In the early 1990s, he and his brother designed and fabricated the fastest transistor in the world in its class. He has expertise and experience in many diverse technical fields, including artificial intelligence, image recognition, Deep Learning, Digital Rights Management (DRM), encryption, semiconductors, transistors, and software game. He has had more than 80 technical journal publications and presentations and more than 100 pending or issued the US and foreign patents in various technical fields. He has also participated in various scientific and technical conference program committees. He got his Ph.D. degree from Cornell University (related to semiconductors and circuits, with Prof. Lester Eastman). He got his BS degree in Applied & Engineering Physics from Cornell, ranking second in his Class. He got his law degree from Georgetown Law School. He has given 25 invited technical and IP lectures at the US Patent Office. He was involved in the Patent Office Training Advisory Board and Work Sharing Roundtable at the US Patent Office (USPTO). He is a former Primary Patent Examiner and a former Patent Examiner Trainer at the USPTO.

Artificial Intelligence, Explainable-AI, General-AI, pattern recognition, classifiers, machine learning, neural networks, deep image analysis, video analysis, object recognition, face recognition, image recognition, soft computing, Fuzzy Logic, information theory, analytics, Big Data analysis, information reliability, search engines, and application of images in e-commerce (for the foundation of first Image Ad Network & Image Referral Network).

Prof. Safya MEDIMAGH BELGHITH has received her engineering diploma in Electrical Engineering and her Master's and the PhD degree in Automatic and Signal Processing from the High School of Electricity, Lab Signals & Systems, (LSS Supelec) University Paris XI France. She has received her Statute Doctorate in Physical Sciences from the Faculty of Sciences Tunis FST with the collaboration of the Laboratory Signals & Systems. She is now Professor at the National School of Engineering Tunis and head of Research Laboratory (Robotique Informatique et Systèmes Complexes RISC) at ENIT, University Tunis El Manar, Tunisia. Her research domain is focused on the analysis of nonlinear systems and chaos. She has published various research articles on Mathematical Modelling, Numerical Analysis, Robotics, and Algorithms.

Robotics, Computing and Complex Systems

Professor Perkowski received his M.S. degree in electronics in 1970 and his PhD degree in automatic control in 1980 He has been on the faculty of Warsaw Technical University, The University of Minnesota, Minneapolis, and the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea. He has been a Visiting Faculty Member at the Technical University of Eindhoven, The Netherlands, the University of Montpellier, France, and Kyushu Institute of Technology, Japan. He worked as a Summer Professor at Intel, GTE, and Sharp, and was a Consultant to several companies including Cypress Semiconductor. Dr. Perkowski is the Chair of the IEEE Computer Society Technical Committee on Multiple-Valued Logic. Dr. Perkowski has published over 100 journal and conference papers. Senior Member IEEE and Member Association for Computing Machinery.

Quantum computing, Automated synthesis of quantum and reversible circuits, Testing of quantum circuits, Quantum computational intelligence with intelligent robotics applications.

Albu Adina-Victoria, Head of industrial management in textiles and leather work department. Teacher, lecturer in leather works and shoe technology, raw materials, automotive materials. She was a faculty of Energetic Engineering during the year 2011-2014 at University of Oradea.

Materials, Biomechanics and Nanomaterials.

Sonya Coleman joined the Computer Science Research Institute and School of Computing and Intelligent Systems in 2002 and was appointed Head of the Research Graduate School in 2012. Sonya is a Fellow of the Higher Education Academy and teaches at undergraduate level. Sonya received a BSc(Hons) in Mathematics, Statistics and Computing (first class) from the Ulster University, UK in 1999, and a PhD in Mathematics from the Ulster University, UK in 2003. She is Cognitive Robotics team leader within the Intelligent Systems Research Centre. Sonya has publications primarily in image processing, robotics, computational intelligence, and financial engineering. Her research has been supported by funding from various sources such as EPSRC, The Nuffield Foundation, The Leverhulme Trust and the European Commission. In 2009 she was awarded the Distinguished Research Fellowship by the Ulster University in recognition of her contribution research and she is currently secretary of the Irish Pattern Recognition and Classification Society.

Artificial Intelligence, Explainable-AI, General-AI, pattern recognition, classifiers, machine learning, neural networks, deep image analysis, video analysis, object recognition, face recognition, image recognition, soft computing, Fuzzy Logic, information theory, analytics, Big Data analysis, information reliability, search engines, and application of images in e-commerce (for the foundation of first Image Ad Network & Image Referral Network).

Prof. Yu-Dong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. Now he serves as Professor with the School of Computing and Mathematical Sciences, University of Leicester, UK. He is the Fellow of IET (FIET), and Senior Members of IEEE, IES, and ACM. He was the 2019 recipient of Web of Science Highly Cited Researcher. He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, British Council, and NSFC.

Deep Learning and Medical Image Analysis.

Elsayed Ahmed Elnashar, Full-Professor of textiles Apparel, Kaferelsheikh University, Egypt. Born in 19 /8/1965. Have Ph.D. 2000, Msc.1995, Bsc.1989, Helwan University. Diploma1985advanced industrial textiles institute. He holds several academic administrative positions: Dean, Vice Dean, Head of Department, He has many textiles patents, Member of international scientific committees. Development of Faculties of Education commissioned of Supreme Council of Egyptian Universities. Has design books published in Germany and Ukraine. Has published over 190 scientific Articles. Editorial board member & Reviewer for more 95 journals, organizer for more than 70 conference and workshop over the world, Founder and editor two scientific journals. And Smartex Conference Egypt. Member of the editorial board of several international journals and conferences, He has made many scientific agreements with European &Africa universities.

Nanotechnology in textiles and apparel branch , Solar textiles (SOLATEX) , Laser-Jet Technology on Weaving Machine