Invited Speakers


Prof. Naresh Agarwal
Simmons University, USA

Naresh Agarwal is a Professor and Director of the Information Science & Technology Concentration at the School of Library & Information Science at Simmons University, Boston, Massachusetts. Naresh’s research area is information behavior and knowledge management. His first book ‘Exploring Context in Information Behavior: Seeker, situation, surroundings, and shared identities’ was published by Morgan & Claypool in 2018. His second book was published in 2021 as 'Engineering to Ikigai: 25 Journeys towards Purpose' in South Asia and 'You know the glory, not the story: 25 Journeys towards Ikigai' internationally. He has been a keynote/invited speaker at workshops and conferences in Bangladesh, France, India, Iran, Japan, Pakistan, South Africa, and the US. Naresh is the Immediate-Past President of the Association for Information Science & Technology (ASIS&T). At ASIS&T, he has held various leadership positions, including co-chairing its Annual Meeting in 2017 and founding the South Asia Chapter. In 2012, he was awarded the ASIS&T James M. Cretsos Leadership Award. You can learn more about Naresh at and

Speech Title: Understanding the User's Context
Information seekers, service providers, and system designers often lack the full context of a person's information need. The context may vary based on several factors such as personal characteristics, the task at hand or the situation, source characteristics, etc. Yet researchers and system designers have yet to agree on what context really means. While there have been various research studies incorporating context, as well as conferences focused on the topic over the years, there lacks a common definition of context, what its boundaries are, and what elements and variables comprise context. Does the context create the situation in which the user interacts with information or technology, or does the user ‘produce’ the context at the point of interaction? Drawing from his 2018 book on Context, Professor Agarwal will attempt to map the conceptual space of context in the user's interaction with information. He will discuss the differing conceptual understandings of context, the contextual elements identified in prior studies, and how the two can relate to each other. Can the Contextual Identity Framework provide some of the answers? The talk should help the audience appreciate how by working towards a shared understanding of context, we can better support the end users of our systems.


Assoc. Prof. Hazura Zulzalil
Universiti Putra Malaysia, Malaysia

Hazura Zulzalil received Bachelor of Computer Science in 1995, Master of Science in 1998 and PhD in Software Engineering in 2011 from Universiti Putra Malaysia (UPM). Hazura Zulzalil joined UPM as a tutor in 1995 and was appointed as a lecturer in 1998. She was promoted to a senior lecturer in 2008 and currently she is an associate professor at the Department of Software Engineering and Information System. She has successfully supervised and co-supervised 14 PhD students, 4 master by research students and 24 master by coursework students. Her research interests include software requirement engineering, software measurement, software quality and multi-criteria evaluation. To date she has successfully secured 13 research grants as the principal investigator and co-researcher and has published 77 journal and 39 conference articles. Currently, she is appointed as a committee member of the Board of Studies and external examiners for Software Engineering Program in a few higher Malaysian institutions. She is also a committee member of Malaysian Standard for NSC 07/TC 11, member of Malaysian Software Engineering Interest Group (MySEIG) and associate member of the National Council of Professor.

Speech Title: An Integrated User Stories Prioritization Approach in Agile-Scrum Software Development to Produce High-Quality and Sustainable Software
Setting user story priorities is crucial to the quality and profitability of an agile scrum software development project. However, in agile requirements, prioritising non-functional user stories is frequently overlooked. Non-functional user stories are typically only reminded towards the end of the software development cycle, added to the project rather late in the process, and usually done in ad-hoc. Current study also demonstrates that ignoring non-functional user stories might have a negative impact on the software and increase the cost of future fixes. Therefore, it is critical to conduct user story prioritisation early in the software development process by integrating both functional and non-functional user stories. Hence, this study proposes an approach to address both functional and non-functional user stories during the prioritisation process. This approach uses a triangular fuzzy number to prioritize non-functional user stories based on the importance degree of existing functional user stories. The effectiveness of the suggested approach is assessed empirically and is also validated by Agile-Scrum expert to confirm its applicability in the real world. The findings of the study will assist Agile software developers to develop high-quality, sustainable software in the future.

Assoc. Prof. Norjihan Abdul Ghani
Universiti Malaya, Malaysia

Norjihan is currently an Associate Professor in Department of Information Systems, FCSIT, Universiti Malaya. Her PhD in Computer Science from Universiti Teknologi Malaysia (2013), and her Master in Information Technology (2000) from Universiti Kebangsaan Malaysia and she obtained her Bachelor Degree in Information Technolgy from Universiti Utara Malaysia (2000). Currently, she is the Head of Department for Information Systems since 7 October 2019. Her research interest is in the areas of information security which she focuses more on information privacy, data security and data protection where it has been applied in several domains such as smart transportation, smart health and many more soon. She has interest and welcome any collaborations with other researchers from any universities in the same field domains.

Speech Title: Enabling the Secured Data Sharing in Intelligent Transportation Systems Environment
The Internet of Things (IoT) is fundamentally transforming the transportation industry. Next generation Intelligent Transportation Systems (ITS) will optimize the movement of people and goods which then more personal data is being collected, processed, and stored in the system. The ITS has the ability to provide more efficient, safer, and enjoyable experience for people. Data transmission is important in ITS, however, ensuring security and privacy is crucial to satisfy Confidentiality, Integrity, and Availability (CIA). Dealing with sensitive information in a communication network, confidentiality is clearly one of the necessary security services that require consideration. Confidentiality enables devices and parties in the ITS environment to communicate with one another in a secure way without disclosing information to uninvolved parties. This talk will focus on the importance of security and privacy specifically in ITS and what are the challenges so far.

Assoc. Prof. Sabrina Ahmad
Universiti Teknikal Malaysia Melaka, Malaysia

Dr. Sabrina Ahmad is an Associate Professor in Software Engineering at the Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka. She obtained her PhD in Computer Science from The University of Western Australia in 2012 under the supervision of Professor Mark Reynolds and Professor Terry Woodings. Throughout her career, she has experiences as Head of Software Engineering Department, Coordinator for Centre of Excellence (Centre for Advanced Computing Technology), and Deputy Dean (Research & Postgraduate Studies). She endeavours to maintain the bridge between academia and practitioners and therefore, while being an academic, she also applies the knowledge through consultation projects with various industries. She is also a Certified Professional Requirements Engineer, a Certified Tester and a Certified Professional IT Architect.

Speech Title: How a Boilerplate Technique improves Software Requirements Specification?
The natural language (NL) is commonly utilized and recognized as a valuable tool to facilitate understanding among non-technical readers of software requirements specifications (SRS), despite its numerous weaknesses. Writing a high-quality SRS that ensures effective communication among stakeholders is a challenging task due to the diverse knowledge, social backgrounds, and experiences of the individuals involved. Moreover, the effort, skills, and experience required to write an SRS directly impact the cost of software development. Therefore, an emerging boilerplate technique is seen as a practical solution to generate requirements statements in a controlled environment, aiming to minimize the occurrence of defects. This technique aims to address the inherent flexibility of natural language, which often leads to problems such as ambiguity and inconsistency. This research introduces a tool-based boilerplate technique to assist in identifying essential requirements for a generic information management system and translating them into standardized requirements statements within an SRS. The paper presents an empirical investigation conducted to assess the effectiveness of this technique in enhancing the quality of SRS and the usability of the tool-based boilerplate prototype. The results demonstrated that the boilerplate technique significantly improves the completeness, correctness, and consistency of requirements in an SRS. Additionally, the empirical investigation revealed that the tool-based boilerplate technique exhibits high usability, usefulness, and ease of use.

Asst. Prof. Stefan Nastic
TU Wien and IntelliEdge GmbH, Austria

Prof. Stefan Nastic is an Assistant Professor at TU Wien, working in the Distributed Systems Group. He is also a Founder and CEO of IntelliEdge GmbH – a company that provides consulting and development services for Cloud Computing, IoT/Industry 4.0, and Artificial Intelligence worldwide. Stefan is also a member of the Technical Steering Committee in Linux Foundation’s Centaurus project. Stefan got his Ph.D. in 2016 from TU Wien, with a thesis: "Programming, Provisioning, and Governing IoT Cloud Applications". His research interests include serverless computing, edge-cloud continuum, AI /Edge AI, and Reliability engineering.

Over the last decade, Stefan has been involved with a number of large commercial and research projects related to the Internet of Things, Edge Computing, and Cloud Computing, such as a multi-million Pacific Controls Cloud Computing Lab (PC3L) and Futurewei Polaris Cloud. During this time, Stefan has gained extensive experience acting as a researcher, product owner, project manager, technical coordinator, and advisor. Stefan also has a rich portfolio working as an independent consultant, solution architect, and expert software engineer, assisting companies from various industries to develop and advance their Cloud, IoT, and Edge solutions.

Speech Title: Serverless Compute Fabric for the Next-generation Edge-Cloud-IoT Systems
Serverless computing has been establishing itself as a compelling paradigm for the development of modern cloud-native applications. Serverless represents the next step in the evolution of cloud programming models, services, and platforms, which is especially appealing due to its low management overhead, easy deployment, scale-to-zero, and promise of optimized costs. In this talk, we take a closer look at the state of serverless computing, particularly focusing on the opportunities and challenges related to building Serverless applications and next-generation edge-cloud-IoT systems in the edge-cloud continuum.

Asst. Prof. Chao Wang
National Taiwan Normal University, Taiwan

Chao Wang is an assistant professor in the Department of Computer Science and Information Engineering at National Taiwan Normal University. He is interested in studying cyber-physical systems (CPS), an informed integration between computing system and the environment within which the system operates. Chao received his Ph.D. in Computer Science at Washington University in St. Louis in 2019, and his M.S. in Computer and Communication Engineering in 2010 and B.S. in Electrical Engineering in 2009, both from National Cheng Kung University in Taiwan. He is a member of ACM and IEEE.

Speech Title: In Search Of Meeting Conflicting Performance Demands: A Case From Real-Time Fault-Tolerant Data Communication
In computing systems and applications, people are always looking for better performance of various types: timeliness, reliability, energy efficiency, to name a few. Often, it seems that there is a trade-off between meeting these performance metrics. For example, a system engineered for fault tolerance may run slow, and a system that computes fast may consumes high energy. But is this always the case? If not, is there any design principle that we may follow, to build a system that meets seemingly conflicting performance demands? This talk will give a case from real-time fault-tolerant data communication, showing that one may meet both real-time performance and fault-tolerance performance, by having a unified problem analysis from the timing perspective.

Dr. Chuadhry Mujeeb Ahmed
Newcastle University, UK

Chuadhry Mujeeb Ahmed is a Senior Lecturer in computing at the Newcastle University, UK. His research interests are in the security of Cyber-Physical Systems (CPS), the Internet of Things (IoT), Communication Systems, and Critical Infrastructures. Earleir he served as a lecture in the University of Strathclyde from 2020-2023. Before joining the University of Strathclyde he was a research fellow at the National Satellite of Excellence for Secure Critical Infrastructure in Singapore University of Technology and Design (SUTD). He was a Presidential Graduate Fellow for the Ph.D. program at the SUTD. Mujeeb has been a visiting fellow at the EECS department at the Georgia Institute of Technology. His work has been awarded the best paper award at ACM CPSS 2020, and the best research project SoilBuild award at FIRST 2020 and Kulicke and Soffa award 2018. Mujeeb has been a delegate at the Heidelberg Laureate Forum (HLF 2019). Mujeeb has been PC chair of the CYBERSECURITY OF ELECTRIC VEHICLE CHARGING AND SMART GRID RESOURCES (SECEVC2022) in conjunction with IEEE SmartGridComm, PC chair of the 2nd and 3rd International Workshop on Artificial Intelligence and Industrial Internet-of-Things Security (AIoTS2020/2021) in conjunction with ACNS. Mujeeb has delivered invited talks at 7th International Conference on Networks, Communications, Wireless and Mobile Computing (NCWMC 2022) in London and at the Workshop on Data Mining and Machine Learning Applied to Cyber Physical Systems in Singapore.

Speech Title: Challenges in Machine Learning based Approaches for Real-Time Anomaly Detection in Industrial Control Systems
Data-centric approaches are becoming increasingly common in the creation of defense mechanisms for critical infrastructure such as the electric power grid and water treatment plants. Such approaches often use well-known methods from machine learning and system identification, i.e., the Multi-Layer Perceptron, Convolutional Neural Network, and Deep Auto Encoders to create process anomaly detectors. Such detectors are then evaluated using data generated from an operational plant or a simulator; rarely is the assessment conducted in real time on a live plant. Regardless of the method to create an anomaly detector, and the data used for performance evaluation, there remain significant challenges that ought to be overcome before such detectors can be deployed with confidence in city-scale plants or large electric power grids. This talk will enumerate such challenges that we have faced when creating data-centric anomaly detectors and using them in a live plant. Moreover, a few recommendations will be made along with potential solutions.

Dr. Lars Nagel
Loughborough University, UK

Lars Nagel received his Diploma in Computer Science from the Technical University of Munich in Germany in 2006 before he worked as a software developer for Siemens and Trium Analysis Online in Munich. In 2011 he received his PhD from Durham University, UK, where he studied randomised load balancing processes. At Paderborn University and Mainz University in Germany he continued these studies and developed algorithms for distributed systems and storage systems as a postdoctoral researcher. Since 2017 he is a lecturer at Loughborough University, UK. His main research areas are the development and analysis of algorithms for distributed systems, networks and storage systems.

Speech Title: Load Balancing and Information
Load balancers are essential components in basically every computer systems. Their aim is to evenly distribute items or jobs (e.g. requests, computing jobs, data) over resources (e.g. servers, CPU cores, data centres). Ideally a load balancer would determine the resource of lowest load and assign the next job to it. However, in many scenarios it is costly to determine the least loaded resource, which is why loads are often estimated, or jobs are randomly distributed. In the presentation we will look at different types of load balancing algorithms and the trade-off between information and load balance or overhead and load balance. In particular, we will discuss randomised load balancing schemes and the latest theoretical and practical results in this area.

Dr. S. M. Emdad Hossain
University of Nizwa, Sultanate of Oman

Dr. S.M. Emdad Hossain, Assistant Professor and the Head of the Department of Information Systems, University of Nizwa, Oman. He has received his PhD degree in Information Science and Engineering from University of Canberra, Australia, followed by Post-Doc from Embry Riddle Aeronautical University, Florida, USA. He has diverse educational and teaching experience from a number of countries around the world. He is in the technical review committees and regular reviewer for several IEEE, Elsevier, ISI, and IET journals/conferences. His research interest includes multi-modal systems, computer vision, pattern recognition, data mining, medical image computing and mobile banking. He is holding a long-list of fully refereed Journal/Conference/Book Chapter publications with TWO (2) Intellectual PATENTS in pattern recognition and mobile banking. He established one of largest biometric gait-database named “UCMG-Database” which is open for world research community. However, he is highly interested in seeking wide and interdisciplinary collaborations in teaching and research.

Speech Title: Security of Biometric-based Security Systems
Biometric security systems are well established and advanced-technological solutions. Those solutions are; no-longer in question-mark in terms of applicability and viability. Government to private, small to medium, tech-based to non-tech based; almost all organizations are noble clients of biometric based security systems. Robustness in authentication are in place. Similarly, comfortability of both client and users are in an excellent stage. Therefore, the systems are in practice without hesitation. However, sensitivity of input of these kind of systems are very high. It is because of personal (physical or behavioral trait) information which is the key of a distinct system. In case of minimal data leakage; might cause huge impact of an individual’s life, sometime it can be life threatening too. Hence, security issues of biometric based security systems will be presented along with potential mitigation approaches. Furthermore, experimental results and effectiveness of a number of securing tools will be in focus.

Dr. Saminda Premaratne
University of Moratuwa, Sri Lanka

Samidna Premaratne is currently a Senior Lecturer in the Department of Information Technology, Faculty of Information Technology, University of Moratuwa. He obtained his PhD in Informatics from Malaysia University of Science and Technology, Malaysia, and achieved an M.Phil from University of Colombo, Sri Lanka. He received his B.Sc. Degree in Computer Science from American University of Asia. Throughout his career, he has completed his tenure as the Head of the Department of Information Technology, Director of Undergraduate Studies, and a coordinator for the postgraduate programs. He has successfully supervised more than 55 postgraduate students till 2022. His research interests are Multimedia systems, Data mining, and Multimedia Information Retrieval. He has published several research papers in international journals and conferences. Various organizations awarded him several national and international awards during the last five years. Throughout the last twelve years, he was involved in several consultancy projects by applying his knowledge to practice. He is interested in interdisciplinary collaborations with other researchers and universities in similar research areas and teaching.

Speech Title: Event Resolution in Sports Videos