ORCID iD: 0000-0003-1755-0183
Scopus Author ID: 12807474900
Google Scholar Profile: sDRLr8gAAAAJ

Metrics for Academic and Research Impact

• Network Science, Theory of Complex Systems, Complexity Theory

• • Network science is a new and emerging scientific discipline that examines the interconnections among diverse physical, informational, biological, cognitive, and social networks. This field of science seeks to discover common principles, algorithms and tools that govern network behavior.
  • We would like to answer the following questions: Can we use simple models to describe the structures, functions, behaviors of complex biological systems?  If yes, how?  Can we crack the code of biological systems or even the universe?

• Machine learning
• Natural Language processing
• Knowledge Centric Networking (KCN)
• Unified approach for logical reasoning and deep learning
• Wireless Communications
• Video Coding, Image Processing, Computer Vision, Medical Imaging/Bioimaging

• • Explore three basic problems: imaging, compression, image understanding/interpretation

• Multimedia Communication over the Internet and over wireless
• Computer and Communication Networks, Queueing Theory
• Information Security (especially, multimedia security) and Network Security (especially, wireless network security)
• Information Theory
• Communication Theory
• Signal Processing, Detection and Estimation Theory
• Control Theory
• Machine Learning
• Computational biology
• Unified theory for matter, energy, and information, where the cyberspace meets the physical world.
• Computational complexity theory
• Logic and plausible reasoning (deductive, inductive, abductive, and transductive reasoning)
• Smart grid and power grid (including renewable energy)