Prof. Ubaldo Comite
University of Calabria, Arcavacata, Rende, Italy
Prof. Ubaldo Comite was born in Cosenza,
Italy, June 14 1971. He has a degree in Law (1994) and Economics
(1996) at the University of Messina (Italy), and earned his
Ph.D. in Public Administration at the University of Calabria,
Rende (Cs) Italy, in 2005. Currently he is a professor of Budget
and Business Organization at the Faculty of Economy, Department
of Business Sciences, University of Calabria. Furthermore he is
a professor of Business Administration at the Faculty of
Economy, University Giustino Fortunato (Benevento, Italy). His
Research interests are: Private and Public Management, Non
profit Organizations and Accounting.
Speech Title: Equity
Crowdfunding: Strategies, Dynamics and New Opportunities in the
Innovation Financing Markets
Abstract: The phenomenon of the equity
crowdfunding is seen as a revolutionary form of financing from
the bottom. In light of the current economic scenario and the
persistence of the credit crunch situation, the equity
crowdfunding is considered by many as a possible solution to the
difficulties encountered by small and medium enterprises in
obtaining the financial resources required for growth.
Firstly, the aim of this work is introducing the equity
crowdfunding contextualizing the phenomenon in the academic
debate and analyzing its global development. After presenting
the crowdfunding phenomenon in general, specific peculiarities
of the equity crowdfunding are defined and, at the same time, an
analysis of the state regulations at international level is
carried out. Straightforward will be presented a survey of
worldwide active platforms.
An additional purpose of this work is to propose a theoretical
model able to explain the phenomena that influence entrepreneurs
and investors’ decisions in the use of this financing tool. The
described model shows that the informational asymmetries between
entrepreneur (creator) and potential investors (crowdfunders)
can be exploited by those who publish the capital offer in order
to "trick" the market.
In view of the model’s results is demonstrated how all this can
lead to market failure if actors do not act in a way that limit
existing information asymmetries.
Dr. Gordon Morison
Glasgow Caledonian University, UK
Dr. Gordon Morison received a BEng in
Electrical and Electronic Engineering, and PhD in Signal and
Image Processing from the University of Strathclyde. He has held
industrial positions in embedded software and post-doctoral
positions in Communications at the University of Strathclyde and
in Computational Neuroscience at the University of Glasgow.
Currently he is the Assistant Head of Department in Audio and
Electronic Engineering at Glasgow Caledonian University. His
research interests are in Signal/Image Processing, IoT, Machine
Learning and Real Time Embedded Implementation on DSP/GPU/FPGA.
Signal and Image Processing Methods for Condition and Asset
Abstract: Recent advances in sensor technology combined
with state of the art pattern analysis techniques provide
industry with a unique opportunity to develop and implement both
in-situ non-intrusive condition monitoring and prognostic
systems for a broad wide range of machines and assets. Within
this talk I will detail two case studies where recent signal and
image processing algorithms combined with methods from machine
learning have been found to provide excellent performance for
classification of faults types in high voltage systems, and in
defect assessment of tunnels wall linings.