Prof. Roberto Montemanni
University of Modena and Reggio Emilia, Italy
Roberto Montemanni is full professor of operations research at the University of
Modena and Reggio Emilia, Italy. He also acts as an external research advisor at
the Dalle Molle Institute for Artificial Intelligence, University of Lugano,
Switzerland. He obtained a Laurea degree in Computer Science from the University
of Bologna, Italy and a Ph.D. in Applied Mathematics from the University of
Glamorgan, UK. He has been leading basic and applied research projects both at
national and international levels, administrating more more than one million of
Euros. His main research interests are in the fields of algorithms, mathematical
modeling and machine learning. Recently he is focussing on the interactions of
optimization and machine learning.
Assoc. Prof. Alex Norta
Tallinn University of Technology, Estonia
Dr. Norta is currently an associate professor at the Department of Software
Science where his recent research focus is on blockchain technology for enabling
novel e-governance models that involve many collaborating organizations. His
research background is interdisciplinary comprising cross-organizational
business-process automation, multi-agent systems, security, agile software
engineering, blockchain-system engineering, e-learning, the legal relevance of
smart contracts. In conducting action-design research, he has been involved in
numerous blockchain startup research. For example, he published the founding
paper for qtum.org. He has also published many blockchain papers in diverse
areas such as banking the unbanked, insurance issuance on blockchains,
e-procurement on blockchains, multi-factor identity authentication with a
blockchain-based distributed application. Recently he has developed a novel
methodology for the design of distributed blockchain application Further
pertaining to blockchain relevance, Alex has co-supervised an award-winning PhD
thesis defended at the University of Goettingen about the novel
machine-to-everything (M2X) economy in which it is assumed that self-driving
cars participate in an open socio-technical ecosystem. His specific supply chain
experience reaches back to his time as a PhD student at the TU-Eindhoven where
he investigated the automation of cross-organizational business processes for
truck production. As a post-doc at the University of Helsinki, he developed
formalized lifecycle management for the setup, enactment, and orderly
termination of such automated cross-organizational business-process
collaboration. This keynote-speech paper summarizes conceptually the publication
results that map into blockchain technology and have been further developed at
the Department of Software Science. Alex was nominated as the most successful
PhD supervisor of the IT School in 2020 and in 2021 he won also the best-paper
award of the IT school in the category for social-science category for his
journal paper about e-participatory budgeting.
Speech Title: Blockchain Technology for Secure IOT
Abstract: The keynote first introduces IoT, blockchain technology, smart contracts and security respectively. Next follows a pairwise investigation about the intersection of each elements, culminating in the lessons learned from this diagnosis. The current pros and cons are presented for applying blockchain technology for orchestrating and securing IoT systems. The presentation ends with giving several casestudies where blockchain is used in combination with IoT.
Assoc. Prof. Gabriela Mogos
Xi'an Jiaotong-Liverpool University, China
Dr. Gabriela Mogos is an Associate Professor in the Department of Computer
Science and Software Engineering (CSSE) at the Xi'an Jiaotong-Liverpool
University (XJTLU), Suzhou, China. She received her PhD in Computer Science from
the Alexandru Ioan Cuza University of Iasi, Romania, in March 2010. She followed
this with postdoctoral research positions at the University of Oradea, Romania.
Her interests and research activities are mainly centred around a quantum
computing with an emphasis on design of new quantum algorithms and quantum
cryptographic protocols. She has more than 100 academic publications, books,
book chapters, and has acted as principal investigator and co-investigator in
international and national research projects.
Assoc. Prof. Burcu Erkmen
Yildiz Technical University, Turkey
Burcu ERKMEN is Associate Profesor in Department of Electronics and
Communication Egineering from Yildiz Technical University. She received her M.S.
and Ph. D. degrees from YTU in Istanbul with a focus on artificial intelligence
and electronic circuit design. Burcu ERKMEN collaborates with scientists in many
domains on artificial intelligence and digital technologies. Her current focus
is on using for FPGA Based System Design, Optimization Techniques in Electronic
Circuits, Artificial Neural Networks, Deep Learning and Artificial Intelligence
in Power Converters.