Dr. Ihsan Ullah is currently working as Assistant Professor in the Department of Computer Science and Engineering at Yuan Ze University, Taiwan. He earned his PhD in Computer Engineering from Sungkyunkwan University, Suwon, Korea, in 2019. From September 2019 to August 2020, he served as a Postdoctoral Research Fellow at the Ubiquitous Computing Technology Research Institute (UTRI) at Sungkyunkwan University, South Korea. From September 2020 to January 2024, he served as a Research Professor at the School of Computer Science and Engineering, Korea University of Technology and Education, Cheonan, South Korea.

His research interests encompass Data aggregation, Data Fusion, Virtual Network Embedding, Network Slicing (5G), IoT (Internet of Things), Deep Reinforcement Learning, Artificial Intelligence, Machine learning, Cloud computing, and Wireless Sensor Network. 

Welcome to the Intelligent Edge-Cloud and Network (IECN) Lab. We are a dynamic and innovative team dedicated to advancing the frontiers of technology in the fields of deep reinforcement learning, data fusion, virtual network embedding, IoT, and edge/cloud computing.

Mission: Our mission is to conduct cutting-edge research that addresses real-world challenges in networked systems, enabling efficient and intelligent decision-making processes. We aim to bridge the gap between theory and practice by developing practical solutions that have a tangible impact on society.

Research Focus: At our lab, we focus on several key research areas:

• Deep Reinforcement Learning: Exploring novel algorithms and applications for intelligent decision-making in complex environments.
• Data Fusion and Aggregation: Developing methods for integrating heterogeneous data sources to extract meaningful insights.
• Virtual Network Embedding and Network Slicing: Designing efficient resource allocation schemes for next-generation communication networks.
• IoT and Edge/Cloud Computing: Investigating strategies for optimizing resource utilization and improving performance in IoT and edge computing environments.

Approach: Our research is characterized by a multidisciplinary approach that combines expertise in machine learning, networking, cloud computing, and distributed systems. We leverage state-of-the-art techniques from these fields to tackle diverse challenges and drive innovation.

Facilities: Our lab provides an ideal environment for conducting research and experimentation. We encourage collaboration and knowledge sharing among lab members to foster creativity and accelerate progress.

Collaboration: We actively collaborate with academic institutions and research organizations to exchange ideas, share resources, and push the boundaries of knowledge. By fostering a culture of collaboration, we strive to make meaningful contributions to the research community and beyond.

Join Us: If you are passionate about pushing the boundaries of technology and making a positive impact on the world, we invite you to join us on our journey. Whether you are a student, researcher, or industry professional, there are opportunities for collaboration, learning, and growth at the IECN Lab!  . Get in touch with us to learn more about our ongoing projects and how you can be part of our team.