Mallesham Dasari

Hi! I am currently a postdoc at Carnegie Mellon University, advised by Prof. Anthony Rowe and Prof. Srinivasan Seshan. My research spans across Immersive Media, XR Systems (Mixed Reality, AR/VR), Networks, Mobile, Wireless, and Wearable Computing.

I received a PhD in Computer Science from Stony Brook University, under the guidance of Prof. Samir Das. During my PhD, I was also closely mentored by Prof. Aruna Balasubramanian. I also hold an M.Tech and a B.E from Osmania University, Hyderabad, India.

I am on the Academic job search this cycle. If you are looking for a tenure track faculty in CS/ECE, please reach out. Check out my experience and personal statements below. Thanks!

Email is the best way to contact me:

[CV] [Research Statement] [Teaching Statement] [DEI Statement]


Mosaic: An Internet Accesible Scene Capture for 3D Telepresence
Mallesham Dasari, Tao Jin, Connor Smith, Patrick Apicharttrisorn, Anthony Rowe, Srinivasan Seshan
Under Review (A preprint is available upon email request)

Bridging Physical and Virtual Spaces for Hosting Hybrid Conferences
Mallesham Dasari, Edward Lu, Michael W Farb, Nuno Pereira, Ivan Liang, Anthony Rowe
Under Review (A preprint is available upon email request)

Scaling VR Video Conferencing
Mallesham Dasari, Edward Lu, Michael W. Farb, Nuno Pereira, Ivan Liang, Anthony Rowe
IEEE VR 2023 (Conference on Virtual Reality and 3D User Interfaces)
Paper Code Video

RoVaR: Robust Multi-agent Tracking through Dual-layer Diversity in Visual and RF Sensor Fusion
Mallesham Dasari, Ramanujan Seshadri, Karthikeyan Sundaresan, Samir R. Das
ACM IMWUT/UbiComp 2023 (Conference on Interactive, Mobile, Wearable and Ubiquitous Technologies)

Hyper-local Conversational Agents for Serving Spatio-temporal Events of a Neighbourhood (Using WiFi)
Utku Gunay Acer, Marc Van Den Broeck, Chulhong Min, Mallesham Dasari, Fahim Kawsar
ACM IMWUT/UbiComp 2022 (Conference on Interactive, Mobile, Wearable and Ubiquitous Technologies)

Cyclops: An FSO-based Wireless Link for VR Headsets
Himanshu Gupta, Max Curran, Jon Longtin, Torin Rockwell, Kai Zheng, Mallesham Dasari
ACM SIGCOMM 2022 (Conference on Data Communications)

Swift: Adaptive Video Streaming with Layered Neural Codecs
Mallesham Dasari, Kumara Kahatapitiya, Samir R. Das, Aruna Balasubramanian, Dimitris Samaras
USENIX NSDI 2022 (Conference on Networked Systems Design and Implementation)
Paper Slides Code Video

Internet Video Delivery using Neural Video Codecs
Mallesham Dasari, Samir R. Das
ACM MobiCom S3 2021 (Student Workshop at Conference on Mobile Computing and Networking) Best Presentation Award

dcSR: Practical Video Quality Enhancement Using Data-Centric Super Resolution
Duin Baek, Mallesham Dasari, Jihoon Ryoo, Samir R. Das
ACM CoNEXT 2021 (Conference on Emerging Networking Experiments and Technologies)
Paper Slides Code

L3BOU: Low Latency, Low Bandwidth, Optimized Super-Resolution Backhaul for 360-Degree Video Streaming
Ayush Kumar, John Murray, Mallesham Dasari, Michael Zink, Klara Nahrstedt
IEEE ISM 2021 (Conference on Multimedia) Best Paper Award

PARSEC: Streaming 360-Degree Videos Using Super-Resolution
Mallesham Dasari, Arani Bhattacharya, Santiago Vargas, Pranjal Sahu, Aruna Balasubramanian, Samir R. Das
IEEE INFOCOM 2020 (Conference on Computer Communications)
Paper Slides Code Video

Advancing User Quality of Experience in 360-Degree Video Streaming
Sohee Park, Arani Bhattacharya, Zhibo Yang, Mallesham Dasari, Samir R. Das, Dimitris Samaras
IFIP Networking 2019 (Conference on Networking)

Multiple transmitter localization under time-skewed observations
Mohammad Ghaderibaneh, Mallesham Dasari, Himanshu Gupta
IEEE DySPAN 2019 (Conference on Dynamic Spectrum Access Networks)

Spectrum Protection from Micro-Transmissions using Distributed Spectrum Patrolling
Mallesham Dasari, Muhammad Bershgal Atigue, Arani Bhattacharya, Samir R. Das
PAM 2019 (Conference on Passive and Active Network Measurements)

Impact of Device Performance on Mobile Internet QoE
Mallesham Dasari, Santiago Vargas, Arani Bhattacharya, Aruna Balasubramanian, Samir R. Das, and Michael Ferdman
ACM IMC 2018 (Conference on Internet Measurements)
Paper Slides Data Video

Scalable Ground-Truth Annotation for Video QoE Modeling in Enterprise WiFi
Mallesham Dasari, Christina Vlachou, Shruti Sanadhya, Kyu-Han Kim, Samir R. Das
IEEE/ACM IWQoS 2018 (Conference on Quality of Service)
Paper Code Technical Report

Understanding User Perceived Video Quality using Multipath TCP over Wireless Network
Sohee Kim Park, Arani Bhattacharya, Mallesham Dasari, Samir R. Das
IEEE Sarnoff 2018 (Sarnoff Symposium)

A Lightweight Multi-section CNN for Lung Nodule Classification and Malignancy Estimation
Pranjal Sahu, Dantong Yu, Mallesham Dasari, Fei Hou, Hong Qin
IEEE JBHI 2018 (Journal of Biomedical and Health Informatics)

In-Operando Tracking and Prediction of Transition in Material System using LSTM
Pranjal Sahu, Dantong Yu, Mallesham Dasari, Kevin Yager, Hong Qin
ACM HPDC AI-Science 2018 (Workshop at Conference on High Performance Parallel and Distribued Computing)

Poster: Demystifying Hardware Bottlenecks in Mobile Web Quality of Experience
Mallesham Dasari, Conor Kelton, Javad Nejati, Aruna Balasubramanian, Samir R. Das
ACM SIGCOMM 2017 (Poster and Demo Session at Conference on Data Communications) Selected for Student Research Competition

Active Research Projects

3D Telepresence and VR Video Conferencing

The Internet has seen a remarkable change in long distance communication in terms of voice and video calls in just three decades. However, despite the past advances, today's applications (e.g., Zoom/FaceTime) still lack the essential subtleties of ``Telepresence'' i.e., everyday face-to-face co-located communication with realistic eye contact, body language, and physical presence in a virtual space. While the concept has been around for decades, only recent advances in high performance graphics hardware, better depth sensing technology, and faster software pipelines have made it possible to consider practical real-time 3D telepresence systems. This project investigates several research questions— 1) How to capture and digitize a 3D scene with low latency and practical bitrates to stream on the Internet in real-time? 2) Can the traditional 2D content distribution strategies work well for 3D streaming? 3) How to render high quality 3D content on constrained AR/VR headsets? 4) What kind of 3D applications can we envision to bring the everyday serendipity virtually?

Neural Video Compression and Streaming

Video compression plays a central role for Internet video applications in reducing the network bandwidth requirement. Traditional algorithm-driven compression methods have served well to realize today's Internet video applications with an acceptable user experience. However, emerging 4K/8K/360-Degree video streaming, and AR/VR applications require orders of magnitude more bandwidth than today's applications. The monolithic, application-unware nature of the current generation compression algorithms is not scalable to realize such nearfuture applications over the Internet. This project explores data-driven techniques to significantly change the landscape of the source compression algorithms and improve the experience of next-generation video applications.

Multi-User Tracking for AR/VR Applications

The interactive and immersive applications such as Augmented Reality (AR) and Virtual Reality (VR) have significant potential for various tasks like industrial training, collaborative robotics, remote operation, etc. A key challenge to deliver these applications is to provide accurate and robust tracking of multiple agents (humans and robots) involved in every-day, challenging environments. Current AR/VR solutions rely on visual tracking algorithms (e.g., SLAM/Odometry) that are highly sensitive to environment (e.g., lighting conditions). This project explores augmenting the RF-positioning (e.g., WiFi/UWB) to improve the tracking in terms of accuracy (< 1cm level), robustness (with diverse environmental conditions), and scalability across multiple agents. The key challenges here are how to leverage two completely different modalities to complement with each other with little or no infrastructure support.

Teaching Experience

CSE 570: Wireless and Mobile Networks, Spring 2020

This class is about fundamental principles of wireless and mobile networking. Some of the topics that we will cover are the following:

  • Wireless Signals, Properties, Protocols
  • Wireless Physical Layer
  • Spectrum Sharing
  • RF-based Localization
  • Wireless Link Layer
  • Mobile IP
  • Wireless Transport
  • Mobile and Wireles Applications
  • Mobile Web
  • Mobile Video
  • RF Sensing
  • Mobile Devices, Performance and Energy Management
  • Deep Learning in Mobile and Wireless Applications

Academic Service


  • ACM SIGCOMM Artifact Evaluation Committee (AEC)
  • ACM IMC, Program Committee
  • ACM MM, Program Committee
  • ACM MMSys, Program Committee


  • ACM Student Workshop at MobiSys, Program Co-Chair
  • ACM IMWUT/UbiComp Reviewer
  • ACM MM, Program Committee

2020 & Before

  • IEEE Pervasive Computing, Reviewer
  • ACM SIGCOMM, Artifact Evaluation Committee (AEC)
  • ACM S3 Workshop at MobiCom, Program Co-Chair
  • ACM Tansactions on Sensor Networks, Reviewer