Biography:
Prof. Amin Beheshti is a Full Professor of Data Science and the Director of AI-enabled Processes (AIP) Research Centre, School of Computing, Macquarie University. Amin is also the head of the Data Analytics Research Lab and Adjunct Academic in Computer Science at UNSW Sydney. Amin completed his Ph.D. and Postdoc in Computer Science and Engineering at UNSW Sydney and hold a Master and Bachelor in Computer Science both with First Class Honours. In addition to his contribution to teaching activities, Amin extensively contributed to research projects; where he was the R&D Team Lead and Key Researcher in the 'Case Walls & Data Curation Foundry' and 'Big Data for Intelligence' projects. Amin has been recognized as a high-quality researcher in Big-Data/Data/Process Analytics and has been invited to serve and served as Keynote Speaker, General-Chair, PC-Chair, Organisation-Chair, and program committee member of top international conferences. He is the leading author of the book entitled "Process Analytics", co-authored with other high-profile researchers in UNSW and IBM research, recently published by Springer. Amin was able to secure over $9.8 Million Research Grants for AI-Enabled, Data-Driven, and Intelligence-Led projects.
Title of Speech:
"AI-Enabled Processes: The Age of Artificial Intelligence and Big Data"
Abstract:
Abstract: Today, the advancement in Artificial Intelligence (AI) and Data Science can transform business processes in fundamental ways; by assisting knowledge workers in communicating analysis findings, supporting evidence, and making decisions. This keynote introduces notions of Data Lake as a Service and Knowledge Lake as a Service and discuss their role in analyzing data-centric and knowledge-intensive processes in the age of Artificial Intelligence and Big Data. I will introduce the novel notion of AI-enabled Processes and discuss methods for building intelligent Data Lakes and Knowledge Lakes as the foundation for Process Automation and Cognitive Augmentation in Business Process Management. I will also points out challenges and research opportunities.
Biography:
Michael Sheng is a full Professor and Head of School of Computing at Macquarie University. Before moving to Macquarie University, he spent 10 years at School of Computer Science, the University of Adelaide. From 1999 to 2001, he also worked at University of New South Wales as a visiting research fellow. Prior to that, he spent 6 years as a senior software engineer in industries. Michael Sheng’s research interests include the Internet of Things (IoT), service computing, big data analytics, and Web technologies. He is ranked by Microsoft Academic as one of the Most Impactful Authors in Services Computing (ranked Top 5 All Time) and in Web of Things (ranked Top 20 All Time). Michael Sheng is the recipient of AMiner Most Influential Scholar in IoT (2018), ARC (Australian Research Council) Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). He is the Vice Chair of the Executive Committee of the IEEE Technical Community on Services Computing (IEEE TCSVC), the Associate Director of Macquarie University Smart Green Cities Research Center, and a member of the ACS (Australian Computer Society) Technical Advisory Board on IoT.
Title of Speech:
"Unleashing the Full Potential of the Internet of Things: Research Challenges and Directions"
Abstract:
Over the past two decades, the Internet of Things (IoT) has increasingly become pervasive and is widely regarded as an important technology to improve productivity, operational effectiveness, decision making, and to identify new business models for social and economic opportunities. While IoT-based digital strategies and innovations provide industries across the spectrum with exciting capabilities to create a competitive edge and build more value into their services, there are still significant technical and theoretical gaps in unlocking the full potential of IoT applications in reality. In this talk, we will review the current status of IoT and discuss the open research challenges and directions.
Biography:
Latif Ladid is a Senior Researcher at SnT. He works on multiple European Commission Next Generation Technologies IST Projects:
6INIT, www.6init.org - First Pioneer IPv6 Research Project; 6WINIT, Euro6IX, www.euro6ix.org ; Eurov6, www.eurov6.org ; NGNi, www.ngni.org ; Project initiator of SEINIT, www.seinit.org and SecurIST, www.securitytaskforce.org .
Latif initiated the new EU project u-2010 to research Emergency & Disaster and Crisis Management, www.u-2010.eu, re-launched the Public Safety Communication Forum, www.publicsafetycommunication.eu ,
supported the new IPv6++ EU Research Project called EFIPSANS, www.efipsans.org and the new safety & Security Project using IPv6 called Secricom, www.secricom.eu
and co-initiated the new EU Coordination of the European Future Internet Forum for Member States called ceFIMS: www.ceFIMS.eu.
He holds the following positions: President, IPv6 FORUM www.ip6forum.org, Chair, European IPv6 Task Force www.ipv6.eu , Emeritus Trustee, Internet Society www.isoc.org , Board Member IPv6 Ready & Enabled Logos Program and Board Member World Summit Award www.wsis-award.org .
Latif is also a Member of 3GPP PCG (www.3gpp.org), 3GPP2 PCG (www.3gpp2.org), Vice Chair, IEEE ComSoc EntNET (www.comsoc.org/~entnet/ ), Member of UN Strategy Council, member of IEC Executive Committee, Board member of AW2I, Board Member of Nii Quaynor Institute for Research in Africa, and member of the Future Internet Forum EU Member States, representing Luxembourg: http://ec.europa.eu/information_society/activities/foi/lead/fif/index_en.htm .
Title of Speech:
"The New Internet based on IPv6, empoering IoT, 5G, Cloud Computing and Blockchain"
Biography:
Cinzia Cappiello is an Associate Professor in Computer Science and Engineering at the Politecnico di Milano (Milan, Italy), from which she holds a PhD in Information Technology (2005). Her research interests regard data and information quality, data management and data ecosystems. She is an associate editor of the ACM Journal of Data and Information Quality (JDIQ) and she has co-chaired conference tracks (e.g., ECIS, MCIS) and several international workshops related to data quality (e.g., International Workshop on the Quality of Web Engineering, International Workshop on the Quality of Databases).
Title of Speech:
"Data Quality and IoT"
