Dr. Khalid Zaman is a seasoned IT and research professional with over a decade of expertise in deep learning, computer vision, robotics, emotion recognition, wireless sensor networks, cloud computing, and unmanned aerial and drone networks, with a strong focus on human–robot interaction and intelligent systems. He is currently engaged in advanced research through postdoctoral training at leading institutes in China and holds a Ph.D. in Communication and Transportation Engineering, along with an MS and Bachelor’s degree in Computer Science, complemented by professional qualifications in education. Dr. Zaman has authored 21 research articles in SCIE/SCI-indexed journals, reflecting his consistent contribution to high-impact scholarly work, and his publications have received approximately 330 citations, demonstrating the relevance and influence of his research within the global scientific community. He maintains an h-index of 8 and an i10-index of 7, highlighting both productivity and citation impact across multiple studies. Recognized as an active reviewer for more than 50 prestigious journals, he plays a vital role in maintaining research quality and integrity. Proficient in MATLAB, Python, C++, and Java, Dr. Zaman combines strong technical expertise with effective communication, driving innovation across artificial intelligence, remote sensing, human activity recognition, and next-generation intelligent networked systems.