
Linnaeus University, Växjö, Sweden
Digitalization in industry and society – An applied research perspective

Board Member, Universiti Teknikal Malaysia Melaka, Malaysia
Role of states in cybersecurity: Creating trust in Cyber environment

University of New Brunswick in Frederick, NB, Canada
Are RESTful services “RESTful” yet? Do developers care about the linguistic design quality of their services?

Linnaeus University, Växjö, Sweden
Engineering Reliable Smarter Self-Adaptive Systems with Reuse

University of Leicester, United Kingdom
Edge Intelligence: The Next Stop in the Evolution of Distributed AI

Geo-Informatics and Space Technology Development Agency, Thailand
Geospatial Information Platform for COVID-19 (GIPC) Situation Analysis and Decision Making

Rambai Barni Rajabhat University, Thailand
Ship Types Classification using DEMON and LOFAR Techniques

SKF group, Sweden
Understanding the Question Marks on the Success Rates of Data Science Projects: Lessons Learned from Academia and Industry.

BUITEMS, Pakistan
Spatially Visualizing the Developing World: GIS and its applications in emerging countries

PIEAS, Pakistan
Decentralized Autonomous Supply Chains: Blockchain and Smart Contract Business Process Re-engineering

National University Of Sciences and Technology, Pakistan
Cyberwarfare: Who Needs a Gun when you have a Keyboard?

The National Research and Innovation Agency (BRIN), Indonesia and Ulsan National Institute of Science and Technology (UNIST), Korea
Selecting Feature Selection of Voxel Temporal Brain Connectivity Using Various Machine Learning

University of Birmingham Dubai, UAE
Can artificial intelligence end artificial trends on twitter?

Manchester Metropolitan University, United Kingdom
The Role of AI/ML in the Internet of Things

Universiti Malaysia Sabah, Malaysia
Mitigating Predictability of DAG-based Cryptocurrency Using Gopher Burrow Excavation Algorithm

University of La Rochelle, France
Pattern recognition, Document Image Analysis, and their Impact

Bahria University, Pakistan
Software Fault Prediction using Machine Learning and Deep Learning