Mallesham Dasari

Mallesham Dasari is an Assistant Professor in the Electrical and Computer Engineering department at Northeastern University. His research focuses on immersive media, XR systems, wireless networks, and wearable computing, with a particular emphasis on optimizing video streaming and human-robot collaboration in extended reality environments. He joined Northeastern in January 2024 and is affiliated with the Institute for the Wireless Internet of Things.

Education: PhD in Computer Science from Stony Brook University (2021).

Research Interests: His work spans advanced video codecs, spatial video distribution, and sensor fusion technologies. Recent projects include developing FSO-based wireless links for VR headsets and neural compression techniques for point cloud streaming. He explores how XR technologies can enhance healthcare through systems like XRAI Care and enable seamless human-robot collaboration via platforms like RoboTwin.

Publications: Over 30 peer-reviewed articles in top conferences like ACM SIGCOMM, NSDI, and MMSys, focusing on network optimization, immersive media systems, and edge computing.

Awards: Received the Best Reproducible Paper Award at ACM MMSys 2025 and the Best Demo Award at ACM HotMobile 2025 for RoboTwin. His team also pioneered award-winning solutions for NASA’s SUIT Competition and developed markerless localization systems for AR.

Advising & Grants: Mentors students in Northeastern’s College of Engineering, leading projects funded by industry partnerships and federal grants. His lab collaborates on multi-agent tracking systems combining visual and RF sensing technologies.

Labs/Teams: Active in Northeastern’s XR systems research group, focusing on scalable 3D scene capture (MeshReduce) and time-varying mesh compression (TVMC). His work intersects with digital twin technologies and edge-based asset virtualization frameworks.