International Conference on Emerging Technologies concludes at QAU

The two-day International Conference on Emerging Technologies (ICET) 2018 organised by the Department of Computer Sciences in collaboration with Department of Information Technology and  Department of Electronics of Quaid-e-Azam University (QAU) concluded here on Thursday.
The conference was held under the umbrella of IEEE, a well-recognised international body with an aim to provide students and faculty exposure to state of the art research being conducted at various research centres.
The conference covered a diverse range of topics related to emerging technologies in different fields of ICT including Information Systems, Machine Learning, Artificial Intelligence, Privacy and Security, Internet of Things, Social Networks, Sensors Networks, Circuits and Embedded systems.
The keynote talks covered emerging topics in the domain of ICT. While addressing the audiences Vallipuram Muthukkumarasamy, MIET Group Leader Network Security Research Institute for Integrated and Intelligent Systems, Griffith University, said that cybercrime is the greatest threat to most of the companies, increasing in size, sophistication and cost. The IoT, wearables, mobile devices, smart cities and hyper-connected societies have expanded the attack surface for cybercrimes.
“Today online economy is growing twice the speed of the rest of the global economy. The cost of cybercrime has touched $ 3 Trillion for the global economy in 2015 while it is expected that cybercrime will cost $ 6 Trillion by 2021” said Muthukkumarasamy. He said that one of the main challenges to tackle the problem is the skill shortage and it is affecting industry globally.
Currently, one million cybersecurity jobs are available globally while by 2021 around 3.5 million cybersecurity positions would remain unfilled.
Ahmad Muqeem Sheri, lead researcher Professor for the autonomous driving team of GIST, South Korea delivered the talk titled “The Nuts and Bolts of Autonomous Driving”.
He introduced self-driving concepts ranging from localisation to motion planning and shared advancement in the field of autonomous driving.