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<\/strong><\/em><\/p>\n Abstract:<\/strong> The ASU-DCU international research experiences for students (IRES) project is a workforce development program that embeds students in machine learning and sensor research.\u00a0 This collaborative NSF IRES program engages faculty mentors at the ASU SenSIP Center and at the Dublin City University (DCU) Insight Center that will train students in sensor design, analytics and machine learning algorithm development,\u00a0 Sensor and machine learning research will address engineering and computing problems in \u00a0health care and other related applications. IRES participants will be tasked with studying hardware, algorithms and software for various tasks including activity detection, gait modeling, cough pattern recognition, pulse rate and blood pressure monitoring, and health care analytics. The program will also likely feature one research project in quantum machine learning.\u00a0 Crosscutting efforts include training in international research presentations, research documentation and building awareness in international polices and standards. Students will be presenting their results to international audiences and receive feedback and mentorship by faculty, industry and program evaluators.\u00a0 The program includes weekly research updates by the students, participation in a workshop and continued engagement after the summer experience. <\/strong>The presentation will describe various components of IRES sensor and machine learning research through ongoing center projects at the two universities. We will also provide some details on research results and outcomes during the first year of this three year program.\u00a0 The IRES program is sponsored by NSF Award 2107439.<\/em><\/p>\n Bio:<\/em><\/strong>\u00a0 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\u00a0 (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, quantum\u00a0 and sensor systems. He is author of two textbooks: Audio Processing and Coding by Wiley and DSP; An Interactive Approach (2nd Ed.).\u00a0 He contributed to more than 350 papers, 12\u00a0 monographs, 13 full patents and10 provisional patents.\u00a0 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.\u00a0 He received the 2018 IEEE Phoenix Chapter award with citation:\u00a0 \u201cFor significant innovations and patents in signal processing for sensor systems.\u201d\u00a0 He also received the 2018 IEEE Region 6 Outstanding Educator Award (across 12 states) with citation: \u201cFor outstanding research and education contributions in signal processing.\u201d\u00a0 He was recently elected to Senior Member of the National Academy of Inventors.<\/em><\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”2_5,3_5″ module_id=”virvou” module_class=”virvou” _builder_version=”4.6.5″ _module_preset=”default”][et_pb_column type=”2_5″ _builder_version=”4.6.5″ _module_preset=”default”][et_pb_image src=”http:\/\/easyconferences.eu\/iisa2022\/wp-content\/uploads\/2022\/05\/virvou.png” title_text=”virvou” align=”center” _builder_version=”4.6.5″ _module_preset=”default” min_height=”100px” custom_margin=”||18px|||”][\/et_pb_image][et_pb_text _builder_version=”4.6.5″ _module_preset=”default”]<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.6.5″ _module_preset=”default”][et_pb_text _builder_version=”4.6.5″ _module_preset=”default”]<\/p>\n <\/strong><\/p>\n Abstract:<\/strong> Nowadays, a major paradigm shift is taking place where computers are no longer solely executing human instructions, but, rather, they become agents with decision making capabilities through their AI-empowered software. This leads to a whole emerging era of\u00a0human\u2013AI interaction which is increasingly affecting people’s work and everyday lives. The promise of AI is big in assisting humans through all sorts of interactive\u00a0applications, including smartphones, wearables, self-driving cars, smart homes, and offices,\u00a0virtual personal assistants, as well as contributing to the advancements of human achievements\u00a0in science and arts. AI alleviates human cognitive overload both on the use of complex\u00a0software and in difficult problem-solving situations, it provides orientation in the vast\u00a0cyberspace navigation, it offers enlightening visions in huge accumulated human knowledge\u00a0all through deep learning, machine learning, decision making methods, cognitive theories, fuzzy logic and more, but this comes with a degree of uncertainty and possible consequent errors in\u00a0results. However, in this new kind of interaction, human nature, capabilities,\u00a0understanding, feelings, and needs remain unchanged and constitute the most important issue\u00a0in the two-part dialogue, urging for more research on trustworthy and explainable AI.\u00a0This talk aims to highlight important advantages and gains and discuss consequent challenges\u00a0of the emerging human-AI interaction by presenting a critical overview of the state-of-the-art\u00a0as well as the author\u2019s personal point of view as to how this dialogue can acquire more explainability\u00a0and\u00a0trustworthiness.<\/em><\/p>\n Bio:<\/em><\/strong>\u00a0Professor – Dr. Maria Virvou was born in Athens, Greece. She received a B.Sc. Degree in Mathematics from the National and Kapodistrian University of Athens, Greece, a M.Sc. Degree in Computer Science from the University College London (UCL), U.K. and a Ph.D. Degree in Computer Science and Artificial Intelligence from the University of Sussex, U.K. Her\u00a0postgraduate and doctoral studies were funded by a scholarship obtained from the Greek State Scholarship Foundation.<\/em><\/p>\n She is currently a FULL PROFESSOR, HEAD OF THE DEPARTMENT, DIRECTOR OF POST- GRADUATE STUDIES and DIRECTOR OF THE SOFTWARE ENGINEERING LAB in the Department of Informatics, University of Piraeus, Greece. She is AUTHOR\/CO-AUTHOR of over 350 research papers published in international journals, books and conference proceedings and of 7 books and monographs in Computer Science. She has been EDITOR of over 30 collections of papers in conference proceedings or books, published by major academic publishers, such as IEEE, Springer and IOS Press. She is currently EDITOR-IN-CHIEF of the Springer book series “Learning and Analytics in Intelligent Systems” and “Artificial Intelligence-enhanced Software and Systems Engineering”. She has also been EDITOR-IN-CHIEF of the SpringerPlus Journal (Springer) for the whole area of Computer Science. Additionally, she has been an ASSOCIATE EDITOR of many other journals. She has been GENERAL CO-CHAIR of the yearly conference series of International Conference on Information, Intelligence, Systems and Applications (IISA 2013-2022), technically-sponsored by IEEE, which aims at promoting research in the area of interactive multimedia and major applications. She has been the GENERAL CHAIR \/ PROGRAM CHAIR of over twenty (20) International Conferences. She has been the PRINCIPAL INVESTIGATOR or CO-INVESTIGATOR of numerous national \/ international research projects. She has supervised 12 Ph.D. alumni and many of them currently hold academic positions in Universities. She has been teaching under-graduate and postgraduate courses in Educational Software, Software Engineering and Mobile Software, Human Computer Interaction, Programming Languages and Compilers, Software Personalization Technologies, User Modeling, Adaptive Tutoring Systems<\/em>. Maria Virvou<\/strong><\/h2>\n
Professor and Head, Department of Informatics Director of the Software Engineering Lab Director of the Program of Postgraduate Studies in Informatics
University of Piraeus, Greece<\/h4>\nThe Emerging\u00a0 Era of Human-AI Interaction<\/strong><\/h3>\n