8^th International Conference on
Artificial Intelligence, Robotics and Automation

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 Ph.D. 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.

Dr. Osman Adiguzel graduated from the Department of Physics, Ankara University, Turkey in 1974 and received Ph.D.- degree from Dicle University, Diyarbakir-Turkey. He studied at Surrey University, Guildford, UK, as a post-doctoral research scientist from 1986-1987, and his studies focused on shape memory alloys. He worked as a research assistant, from 1975-80, at Dicle University and shifted to Firat University in 1980. He became a professor in 1996, and he retired due to the age limit of 67, following academic life of 45 years. He published over 80 papers in international and national journals; He joined over 120 conferences and symposia at the international and national levels as Plenary Speaker, Keynote Speaker, Invited speaker, speaker, or Poster presenter. He served as the program chair or conference chair/co-chair in some of these activities. In particular, he joined the last six years (2014 - 2019) in over 60 conferences as Speaker, Keynote Speaker, and Conference Co-Chair organized by different companies in different countries. Additionally, he retired at the end of November 2019, and contributed with Keynote/Plenary Speeches over 60 Virtual/Webinar Conferences, due to the coronavirus outbreak in two years of his retirement, 2020 and 2021. Dr. Adiguzel served his directorate at the Graduate School of Natural and Applied Sciences, Firat University from 1999-2004. He supervised 5 Ph.D.- theses and 3 M. Sc theses. He is also a technical committee member of many conferences. He received a certificate which is being awarded to him and his experimental group in recognition of the significant contribution of 2 patterns to the Powder Diffraction File – Release 2000. The ICDD (International Centre for Diffraction Data) also appreciates the cooperation of his group and interest in the Powder Diffraction File.

Shape memory effect and displacive phase transformations in shape memory alloys and other alloys, molecular dynamics simulations, alloy modeling, electron microscopy, electron diffraction, x-ray diffraction, and crystallography.

Emory Craig is a visionary leader with broad experience in the digital transformation of higher education and the creative industries. He works with nonprofits, universities, businesses, and international organizations, including the UN and OECD, to design, develop, and implement initiatives in XR, AI, and digital ethics. In 2017-2018, he co-authored the groundbreaking EDUCAUSE series on VR and AR, and in 2021, the State of XR Report on Immersive Learning. He is an Innovator in Residence at Arizona State University for the Shaping EDU project on the future of learning. He is the Co-Founder and CEO of Digital Bodies, a global consulting group and popular website for news and analysis of XR, AI, and Metaverse (Web 3) developments. As a futurist, writer, and speaker, he focuses on how the coming convergence of XR and AI will transform how we learn, work, and interact with one another, opening creative possibilities and profound ethical challenges. His work explores the emerging norms of the Metaverse and the strategies we will need to live in a world where experiences are available on demand and the boundaries between the real and the virtual disappear.

AI | XR

Samir Ladaci obtained the State Engineer degree in Automatics in 1995 from the National Polytechnic School of Algiers and the Magister degree in Industrial Automation from Annaba University, Algeria in 1999. He obtained his Science Doctorate and Habilitation degrees from the department of Electronics, Mentouri University of Constantine, Algeria, in 2007 and 2009 respectively. He was a visiting researcher at IRCCyN (now LS2N), CNRS Nantes, France from 2006 to 2008, and has many collaboration projects with different research teams in France, Tunisia, and Italy. From 2001 to 2013 he worked at the Department of Electrical Engineering at Skikda University, Algeria, as an Associate Professor. And from 2013 to October 2021 he was a full professor at the National Polytechnic School of Constantine, since that he joined the Ecole Nationale Polytechnique of Algiers. He has published more than 190 papers in journals and International conferences, many book chapters and co-edited a book, and supervises many Ph.D. theses (10 already defended with success).

Fractional order Systems and Control, Fractional Adaptive Control, Fractional nonlinear and chaotic systems, and Robust Control.

Enrique Otero Chulian is the European Society of Cardiology European Cardiologist Training in Nuclear Cardiology at Southwestern Medical School Center at Dallas under the direction of Professor James T. Willerson Member of the Accreditation Committee of the Spanish Society of Cardiology.

Cardiology, Clinical Management, Clinical Research, AI