Skip to content. | Skip to navigation

Personal tools


Welcome to the Multimedia Networking and Computing Laboratory

Welcome to the Multimedia Networking and Computing Laboratory
Lab Members Fall 2017 WSN Lab Members 2016 IOT Research Discussion UAV Body Sensors

Welcome to Multimedia Networking & Computing Lab!

The Multimedia Networking and Computing (MNC) Laboratory at University of Cincinnati was founded by Dr. Rui (April) Dai in Fall 2014. Our group conducts research in multimedia networking, wireless sensor networks, sensor systems for healthcare applications, future Internet paradigms, and cyber-physical systems. We are particularly interested in multimedia networking and computing solutions for next-generation wireless network architectures. Our research findings have been published in prestigious journals and conferences such as IEEE Transactions on Multimedia, IEEE Multimedia, SPIE Journal of Electronic Imaging, INFOCOM, GLOBECOM, ICC, ISM, and ICIP.

Featured Research

QoE-based Video Communication 

Recent advances in imaging hardware and wireless communications have fostered the deployment of QoE_Provision embedded camera sensors in various wireless imaging applications, such as surveillance, intelligent transportation, remote health care, and consumer electronics and entertainment. We are exploring new communication solutions to provide satisfactory quality of experience (QoE) to users of wireless imaging applications using the minimum energy and bandwidth resources in wireless camera networks. We are investigating mechanisms that can efficiently predict the perceptual quality of networked videos as evaluated by human users. Based on the properties of perceptual quality, we are designing new communication protocols to effectively control QoE in dynamic network environments.

Information-Driven Video Communication for Public Safety

Video surveillance systems have been used heavily in public safety for remote monitoring and variousPublic Safety applications aiming at improving first responders’ situational awareness. Wireless surveillance cameras lower the deployment cost than wired solutions, enables mobility, and offers more rapid deployment in temporary venues such as disaster scenes and sports events. We will design an information-driven video communication framework for wireless-networked video surveillance systems in public safety. The overall goal is to maximize the information that human operators could gain from surveillance videos with the help of automatic video analysis.

Intelligent Mobile Surveillance using UAVs 

The advent of small drones/Unmanned Aerial Vehicles (UAVs) equipped with remote visual sensingMobile_UAV capabilities have played crucial roles in many surveillance applications such as border patrol, disaster response and rescuing, crowd control, traffic monitoring, and wildfire surveillance. The overall objective of this research is to establish and demonstrate intelligent mobile surveillance systems through swarming UAVs that significantly augment existing ground surveillance systems by providing enhanced sensing quality, short response time, and intelligent decisions to users.

Recent News:

  • Mohammad Nazmus Sadat defended his PhD dissertation entitled "QoE-Aware Video Communication in Emerging Network Architectures" on July 14, 2021. Dr. Sadat is joining Bradley University as a tenure-track Assistant Professor in the department of CS&IS from Fall 2021.

  • Aishvarya Rathore defended her MS thesis entitled "Quality Analysis of UAV-based 3D Reconstruction and its Applications in Path Planning" on May 12, 2021.

  • PhD student Mohammad Nazmus Sadat has been selected as a winner of the 2020-2021 URC Graduate Student Stipend and Research Cost Program for Faculty-Student Collaboration on March 15, 2021.

  • A team of students (Sadat, Erwin, Ziqian, Sunmeng, and Yiling) supervised by Dr. Dai won the Best Team Project in the Constrained Category of the 2020 Beyond 5G Software Defined Radio (SDR) University Challenge on June 12, 2020.

  • Lingchao Kong defended his PhD dissertation entitled “Modeling of Video Quality for Automatic Video Analysis and Its Applications in Wireless Camera Networks” on June 27, 2019.

  • PhD student Mohammad Nazmus Sadat and Dr. Dai demonstrated a quality assessment framework for image transmission over software defined radio in the Beyond 5G Software Defined Radio (SDR) University Showcase, Dayton, Ohio, May 2-3, 2019.