Keynote Speakers

Prof. Madya DR Mohamed Imran Mohamed Ariff – Universiti Teknologi MARA Perak Branch, Malaysia

Mohamed Imran Mohamed Ariff is an Associate Professor within the Computing Sciences Studies department of the College of Computing, Informatics, and Media at Universiti Teknologi MARA (UiTM), Perak Branch, Tapah Campus, Malaysia. With a tenure spanning back to 2003, he has established himself as a dedicated and influential member of the UiTM faculty. His research encompasses a wide range of areas, with a particular focus on mobile applications, the Internet of Things (IoT), Transactive Memory Systems, Information Systems, and Digital ICT Development. His expertise in these domains has allowed him to contribute valuable insights to the field, shaping advancements and fostering innovation. As an accomplished researcher and academic, his work has garnered recognition and respect both nationally and internationally. His contributions to the field of computing sciences have resulted in impactful publications and collaborations, serving as a testament to his commitment to advancing knowledge and technology.


Tahir Mohammad, PhD, MSc, B.TechUniversity of Turku, Finland

Tahir Mohammad received PhD in Engineering in 2016 from the International Islamic University Malaysia where his research focused on game-theoretic modelling for improving spectrum sensing and network throughput in cognitive radio networks. He completed his Master’s degree in Communication Engineering from International Islamic University Malaysia in 2011 working on the physical layer security for wireless networks. Before joining the University of Turku, Tahir Mohammad worked as a Senior Lecturer and Program Leader at Sunway University Malaysia where he managed the dual degree program of BSc in Computer Networking and Security offered in partnership with Lancaster University UK, and successfully led several funded research projects.

Prior to joining academia, Tahir Mohammad worked for government-funded R&D companies in Malaysia (MIMOS, TM R&D). His work included designing and implementing proof-of-concept using software-defined radios for efficient spectrum utilization and architecting and implementing IoT based vertical solutions. While he was in the industry, he co-authored two patents on wireless communication and two on IoT. He has also worked in start-ups implementing IoT middleware and smart tracking solutions. He has good experience in providing consultancy services, developing educational materials, and delivering industrial training on IoT. His research interests include 5G/6G networks, the Internet of Things, cybersecurity, game theory and applied machine learning for wireless networks and the application of blockchain for IoT and wireless networks.

His research spans the physical, MAC, and network layers of the OSI model focusing on designing and developing smart, secure, and self-organizing systems that apply to wireless networks and IoT. Smart cities, for example, need to integrate cyber-physical critical infrastructure (e.g. smart grids, water networks) and wireless systems. Developing resilient and secure processes for managing various smart city components requires multiple components to adaptively and optimally manage resources (power, spectrum, QoS etc.) to operate efficiently and recover quickly in case of failure. He is exploring various techniques, such as machine learning, optimization techniques, Blockchain and game theory to develop appropriate solutions.


Prof. Agus Harjoko, Drs., M.Sc., PhD. – Gadjah Mada University, Indonesia

Prof. Agus Harjoko is Professor and head of department of computer science and instrumentation, Gadjah Mada University, Indonesia. He obtained doctor’s degree in faculty of computer science at University of New Brunswick – Canada, master’s degree in faculty of computer science at University of New Brunswick – Canada, and bachelor’s degree in electronics and instrumentation at Gadjah Mada University, Indonesia. His research interests are computer vision, image processing, pattern recognition, machine vision, sensor network, multimedia IR (image, audio, and video processing). His research cluster/group is computer vision for safety, surveilance, inspection and medical image analysis, medical image processing, pattern recognition for safety, surveilance, and inspectioncluster – science and technology. He is also member of the faculty senate and member of ELINS lab.


Dr. Ir. Yaya Heryadi, M.Sc., CDS., CDRAI. – Bina Nusantara University, Indonesia

He is an experienced and highly motivated researcher, lecturer, and book writer passionate about applied Data Science, Big Data Analytics, Interpretable Machine Learning, Natural Language Processing, Explainable Artificial Intelligence, and Computer Vision. He obtained a Bachelor’s degree in Statistics and Computation from Institut Pertanian Bogor; a Master’s degree in Computer Science from Indiana University at Bloomington, USA; and a Doctorate in Computer Science from Universitas Indonesia. Besides teaching and supervising several undergraduate, master, and doctorate students at Binus University, he has writen several introductory books on machine learning, deep learning, and data science.


Abidin Riyadi Abie – CIO – Toyota Astra Finance

Abidin Riyadi Abie graduated from Computer Science Gadjah Mada University. He started his career at PT Astra International as IT Operation Department Head for last position. He subsequently joined Astragraphia IT (AGIT) as the Enterprises Outsourcing Group Head, before returning to Astra International – CIST as the IT Operation Head. Currently, Abidin Riyadi Abie holds the position of Chief Information Officer (CIO) at Toyota Astra Financial Services. He is accountable for leading the company’s IT and digital transformation initiatives. He is responsible for overall IT function including infrastructure, software development, cybersecurity, and driving innovation to deliver cost-effective solutions to support the company’s strategic goals. Abidin Riyadi Abie is a member of iCIO Community, Indonesian community of senior IT leaders and decision makers who come together to share their experience, knowledge, and wisdom. He currently holds the position as Advocacy Coordinator, contributing to the iCIO Community’s growth and development since 2022, following his previous role as Research Coordinator since 2018.