Navigating the Challenges of Machine Learning in Genomic Data Analysis
Dr. Abu Asaduzzaman
Professor, Department of ECE, Wichita State University, Kansas, USA
The talk begins with an overview of contemporary machine learning models that are suitable for healthcare data analysis. It then addresses the challenges and solutions associated with applying machine learning to genomic data analysis for the treatment of human diseases. As information technology advances, machine learning is anticipated to become crucial for precise data processing and effective decision-making. To meet the needs of next-generation healthcare, the integration of machine learning and genomic data analytics will be increasingly beneficial, if not essential. The presentation will showcase two projects developed by the speaker and his team. The first project illustrates the application of machine learning techniques for diagnosing skin neoplasms, while the second explores how samples from the Cancer Genome Atlas program can be utilized in machine learning models for cancer diagnosis. The talk will conclude with a discussion of potential collaboration opportunities between Wichita State University and universities in Bangladesh.
6G Robotics: Potential of Next-Generation Connectivity
Dr. Ir. Neeli Prasad
CEO & Co-Founder, SmartAvatar B.V., The Netherlands
As robotics technology advances, the need for faster, more reliable connectivity becomes paramount. The upcoming 6G networks promise to revolutionize how robots operate, communicate, and interact with their environments. With its ultra-low latency, massive bandwidth, and AI-driven network optimization, 6G can support seamless collaboration between robots, humans, and smart systems.
This talk will explore how 6G technology can unlock new potential in robotics, enabling innovations such as autonomous systems, real-time remote operation, and enhanced machine learning capabilities. We will delve into use cases across industries—ranging from manufacturing and healthcare to urban infrastructure—demonstrating how 6G can transform the future of robotics and its role in advancing automation and efficiency.
Moreover, 6G paves the way for groundbreaking advancements in neurosymbiotic systems, where direct communication between human neural networks and robots becomes possible. This deep integration will redefine human-robot interaction, enabling highly intuitive and seamless control of robots in fields like healthcare, where neuro-controlled prosthetics and tele-surgery can offer real-time, precise feedback. These symbiotic systems will allow robots to act as natural extensions of human cognition, ushering in a new era of collaboration between humans and machines, with unprecedented synergy and efficiency in everyday tasks and complex operations alike.