Scheduit is an intelligent business networking app that matches users with other compatible professionals nearby. This makes business networking less time consuming & more meaningful.
Available on both web & mobile (iOS & Android), Scheduit uses a complex machine learning algorithm to provide accurate networking recommendations. Furthermore, it facilitates connecting individuals for the first time.
Although Scheduit is used in everyday life, it is massively useful at business events since these typically involve a lot of networking.
Dr. Abdalla Kablan is an entrepreneur and academic specialising in machine intelligence, big data analytics and computational Finance.
He is the founder of Scheduit and co-founder / CTO of Hippo Data, a newly developed big data predictions engine which utilises proprietary pattern recognition and machine intelligence tools to analyse social, economic and financial events using social media and market data.
Abdalla is also a lecturer and researcher of Computational Finance at the University of Malta. He obtained his PhD degree in Computational Finance from University of Essex, UK where he was a candidate at the Centre for Computational Finance and Economic Agents (CCFEA). His PhD thesis title was (The Use of Fuzzy Logic Applications for High frequency Trading).
He is well versed in the applications of computational intelligence and machine learning in algorithmic trading systems, auctioning systems and decision making / support systems. He has an extensive academic research publications track record in the areas of algorithmic trading, computational intelligence, Data Analytics, Machine Learning and Finance, with renowned academic journals, many of which won research awards.
Abdalla has presented and chaired in various international conferences and published various blind reviewed papers, some of which won research awards. He has appeared as a speaker on various national and international media outlets such as CNBC and BBC one show.
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