Competing Against 135 Teams from 24 Countries, EBTIC’s First Prize Includes Presentation at Special Session in 17th FedCSIS Conference in Bulgaria
A team of researchers from Khalifa University of Science and Technology-based Emirates ICT Innovation Center (EBTIC) has won top honors at the FedCSIS 2022 data mining competition for developing the most practical solution on predicting the costs associated with freight forwarding contracts, it was announced.
Competing against 135 teams from 24 countries across the world, the EBTIC team won the first prize which includes a monetary award for their solution. The ‘FedCSIS 2022 Challenge: Predicting the Costs of Forwarding Contracts’ is the 8th data mining competition organized in association with the Conference on Computer Science and Information Systems. The EBTIC team came out with flying colors in the challenge that asked participants for a solution based on contract data and planned routes.
The EBTIC team will be submitting a short paper during a special session at the 17th Conference on Computer Science and Intelligence Systems (FedCSIS) 2022 that will be held from 4-7 September in Sofia, Bulgaria. Selected papers will be indexed by the IEEE Digital Library and Web of Science, while the invited teams will be chosen based on their final rank, innovativeness of their approach, and quality of the submitted report.
Dr. Arif Sultan Al Hammadi, Executive Vice-President, Khalifa University, said: “Winning against 135 teams on the world scale illustrates the creative essence of the EBTIC team which has developed the most appropriate machine learning model for freight forwarders. As EBTIC builds on its current strength we hope to see more innovations in data mining areas that will benefit all the industry and community stakeholders.”
Dr. Nawaf Almoosa, Director of EBTIC, said: “We are delighted to win top award in this year’s FedCSIS 2022 challenge that was focused on predicting the cost of transport forwarding contracts based on the contract description, details of transportation vehicles, cargo and the geo-located trip plan. The team, made up of Dr. Dymitr Ruta, one of our Chief Researchers, together with another EBTIC researcher, Lui Ming, built a hybrid ML model based on a diversified ensemble of gradient boosting predictors, developed for this challenge, allows for the most accurate prediction of the realized contract cost and would enable the contractors competing for cargo services at the transportation exchange to more efficiently bid for shipping contracts with less risk of unexpected loss-making costs.”
Organized by FedCSIS in cooperation with PTI and QED Software, the competition sponsor is Control System Software – a software company that has been delivering solutions for the Transportation, Spedition (forwarding), and Logistics industry for 20 years.
EBTIC, a research and innovation center focused on driving research and innovation in intelligent systems and applications, was founded by Khalifa University, Etisalat and BT (British Telecom), and supported by the Telecommunication and Digital Government Authority’s (TDRA) ICT Fund. It is based at the Khalifa University campus in Abu Dhabi.
EBTIC has produced more than 550 scientific publications, developed more than 80 inventions, resulting in 64 granted patents, with more pending, and has trained more than 400 students, and 300 professionals. It has also organized 10 international technical workshops and developed numerous technologies and worked on many projects in collaboration with its partners and stakeholders.
Clarence Michael
English Editor Specialist
5 July 2022
