Submission Deadline: Before November 25, 2016
Registration Deadline: Before December 10, 2016
Final Paper Submission: Before December 10, 2016
Conference Date: January 3-5, 2017


Conference Secretary: Crystal Yeung

Telephone:  +1-858-866-9105 (USA)
+86-28-86512185 (China)


• Full Paper (Publication & Presentation)

Follow the template when preparing your full paper:
For option 1, please use Paper Template; (.doc)
For option 2. please use JIII Template; (.doc)

• Abstract (Oral Presentation only, without publication)

Follow the template when preparing your abstract:
For option 3. please use Abstract Template; (.doc)

Please submit your full paper/abstract via Easychair subumission system using the following link:

Electronic Submission System; ( .pdf)  



Invited Speakers

Keynote Speaker

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.

Plenary Speaker

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.

Speech Title: Signal and Image Processing Methods for Condition and Asset Monitoring

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.


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