< ICIIS 2019


The workshop sessions will be held on 20th December 2019 at OZO Colombo from 8.30 am to 2.00 pm.

Workshop on “Future ICT Trends toward IoT and Softwarized Networks”

Communication Technologies for IoT Abstract: Internet of Things (IoT) that implement machine like device connectivity is set to revolutionize the way the human society and industry will work in the near future. IoT will be a key aspect of fifth generation (5G) and beyond wireless systems. At the same time, due to the limited transmission range, cost, and energy efficiency etc., IoT devices and networks demand new communication design system and optimization approaches. The objective of the talk is to provide the participants with the latest developments of 5G and IoT. In particular, important role of low power wireless communication technologies such as Bluetooth Low Energy (BLE), Narrowband IoT and LoRA for IoT implementation with successful case studies will be discussed.

Dr. Himal Suraweera is a senior lecturer at the University of Peradeniya, Sri Lanka. His research interests currently include cooperative relay networks, energy-efficient communication systems, full-duplex radios, and massive MIMO systems. He serves as an editor for several journals, including IEEE Transactions on Wireless Communications, IEEE Transactions on Communications and IEEE Transactions on Green Communications and Networking. He was a co-recipient of the IEEE Communications Society Leonard G. Abraham prize in 2017.

IoT in Sri Lanka: The Perfect Storm

In the recent past we’ve heard the acronyms IoT, AI, AR etc. as a panacea to all business ailments. The concept of IoT in particular has been ‘commercialised’ for over a decade but has suddenly taken centre stage only recently. Why is that? Therefore, it’s pertinent to see how far the technology has evolved, and whether or not it is applicable for increasing the efficiency of mainstream business operations. In particular, we will investigate the options for economically feasible IoT solutions in Sri Lanka, to catalyse the country’s economic advancement.

Dr. Shamil Appathurai, has over two decades experience in the telecommunications and ICT field. He is currently leading Mobitel (Pvt) Ltd’s Network Strategy & Transformation, and is an advisor and lecturer at the Sri Lanka Technology Campus (SLTC). He was formerly a Design & Development Consultant at British Telecommunications Plc. (BT) in the UK. He was also Post Graduate Research Fellow at University College London, UK. Dr. Shamil has received many awards and scholarships based on his research in telecommunications, including Winning the Institute of Engineering and Technology’s Annual Innovations in Engineering Award in 2007. He also led consortium of researchers from Germany, Belgium, Ireland and the UK, in a project funded by the European Union on developing Long-Reach Passive Optical Networks. He has also authored or co-authored over 20 publications in international conferences and peer-reviewed journals.

Hardware Integration Development Platforms for Cloud Based IoT Devices

Internet of Things (Devices), a. k, a, IoT are an integral part of the Industry 4.0 or the fourth industrial revolution. In industrial settings, IoT devices must measure process parameters, convert into electrical formats, time stamped, and transmit securely through media such as Wi-Fi, RF, the intent, etc. to the cloud based IoT platforms for further analysis.  When IOT operates as an actuator, it must receive data from the IoT platform securely. One of the most difficult aspects of securing a device on the cloud is securely maintaining the keys. Hardware implementation can be very tricky. Commercial IoT platform.  and cloud based service providers such as Amazon Web Services (AWS) and Azure jointly work with semiconductor manufacturers such as Microchip and Texas Instrument to develop chip-set to ease hardware design process reliable and secure.
The best approach to learn IoT and cloud based services is by doing. This session pulls the necessary knowledge as need basis to during the demonstration. Mcrochip’s AWS IoT Zero Touch Secure Provisioning Kit is used for the demonstration. The participant will learn:

  • How to connect a device to AWS IoT
  • Create a unique device identity for one or many devices
  • Configuring AWS IoT for Just-In-Time Registration (JITR)
  • How Zero Touch Secure Provisioning works
  • Study the firmware: How the WINC1500 manages the overall TLS protocol he with ECC508A performing cryptographic primitives for TLS
  • Explore further potentials of the development platform for learning and research

The necessary prior knowledge is presented for the beginners.

Prof. N. Athula Kulatunga received his Ph.D. degree from Purdue University, West Lafayette, IN, USA, in 1995. He is currently the Department Head of Engineering Technology at Purdue University calumet. He was formerly the George W. McNelly Professor of Technology at Purdue University, West Lafayette, Indiana, USA.  He is nationally and internationally recognized as an energy expert and applied researcher in the fields of power electronics, energy management, and smart grid technology. He is also a recipient of Legends in Energy from the Association of Energy Engineers in 2008. He is a Certified Energy Manager. He is also the founder and director of three industry-sponsored applied research and educational facilities, including the Power Electronics Development and Applications Lab sponsored by International Rectifier Corporation and the Smart Meter Integration Lab sponsored by Landis+Gyr Corporation. He is the Primary Investigator (PI) I of the Global Innovation project the Consortium for Rapid Smart Grid Impact funded by the US State Department.

Network Softwarization: Concept to realization

Network softwarization includes SDN (Software Defined Networking), NFV (Network Functions Virtualization) and Cloud. Although the concepts are generally defined for any network, the main application of Network Softwarization is seen in telecom networks, systems and DCs (Data Centers). It challenges existing networking paradigms and visualizes networks in a different angle moving away from traditional hardware mindset to software mindset or network to platform or configuration to programming. Although the concepts are nearly 20 years (or more) old, the practical realization or adaption is not something we can be happy about as an industry. There are various reasons for that - some technical and some non-technical. The session will cover the Network Softwarization concepts, challenges and possible strategies to overcome the challenges.


Anuradha is an expert in the field of Telecom & Technology. He has 16+ years industry experience in strategy, architecture, engineering, design, plan, implementation, maintenance of CSP Networks, along with legacy to NGN migration and solution designing. In his current role as a Senior Engineer at SLT, he is responsible for consulting, advising, architect, designing & planning technical solutions for SME customers.
He is actively involved in strategy formation of SLTs Digital Transformation, Softwarization (SDN, NFV, Cloud) and SD-WAN. He also serves as a MEF Subject Matter Expert.
Learning and sharing has been his passion. When not in office, you can find him conducting training for other global Telcos in Commonwealth countries, as an expert attached to CTO, UK or teaching the final year Electrical & Electronic undergraduates at University of Peradeniya, Sri Lanka as a guest lecturer or conducting trainings for his own staff. He is also an invited speaker at many Telecom and tech conferences, including; Carrier Ethernet APAC, WDM & NG Optical Networking in APAC, EMEA, USA & Africa, LTE Asia, MEF GEN, VNF Management & Orchestration, SDN & OF Asia, BB World Forum, Network Virtualization Asia, Network Virtualization & SDN in Asia and MENA, PTC, TMF DTW and KubeCon + CloudNativeCon + Open Source Summit. In addition, he works as a Visiting Industrial Fellow at University of Hertfordshire, UK. He has so far presented and published several papers and is also a regular contributor to many international blogs.

Anuradha holds a Bachelor's Degree in Electrical & Electronic Engineering from the University of Peradeniya, Sri Lanka. He is also a MEF-SDN/NFV, MEF-NF, ITIL foundation, Senior Member of IEEE and Member of IET, BCS and ISOC. He lives in Kandy with his wife, son and daughter. He prefers reading over watching TV.

IoT meets AI: Security and Privacy at the Edge The Internet of Things (IoT) collect, process, actuate and transmit data. In fact, a massive amount of data. One of the critical requirements to build an accurate AI model is the availability of a very large sums of high-quality data; and IoT is a very good source for this. Recent technological advancements have successfully integrated both IoT and AI seamlessly, and gave birth to autonomous systems. Traditionally, AI has been used to develop several cybersecurity tools to protect systems and networks, including the IoT. With growing proliferation of autonomous systems in daily life, the relationship between AI and cybersecurity is shifting from the use of AI to develop cybersecurity tools towards using cybersecurity techniques to protect AI powered autonomous systems. Thanks to the latest deep learning models, many of the autonomous systems are outperforming human decision-making capabilities. However, designing an autonomous system without considering cyber threats will lead to significant trust, security, privacy, and ethics challenges. This talk will address these timely challenges around the autonomous systems. Towards the end of the talk, there will be a demonstration of the potential use of a machine learning model at the edge to perform biometric verification. This demo will show the advancement in technology that enables an accurate identity verification at the edge without the need for training data or expensive hardware.

Yogachandran Rahulamathavan is a Lecturer and a Programme Director for MSc Cyber Security and Big Data at Loughborough University’s London Campus in the UK. His research interest is on developing novel security protocols to advance machine learning techniques to solve complex privacy issues. Dr Rahul received his BSc Engineering (First Class Honours) degree from University of Moratuwa, Sri Lanka in 2008 and a PhD degree in Signal and Information Processing from Loughborough University, UK in 2011. He also worked as an Engineer at Sri Lanka Telecom prior to his PhD. Between 2012 and 2015, he was a Research Fellow in the Information Security Group at City, University of London. Currently, Dr Rahul is coordinating a UK-India project between Loughborough University London, IIT Kharagpur, India and City, University of London. He is also serving as an Associate Editor for the IEEE Access journal.