World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
13009
World Ranking
6347
National Ranking
2834

Overview

Matthai Philipose is a researcher affiliated with Microsoft in the United States. Their work spans multiple domains within computer science, including both foundational and applied topics.

The main fields of study for Matthai Philipose include:

  • Computer Science

Within this broad domain, their contributions touch on several subfields such as:

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Artificial Intelligence

Their research covers key topics including:

  • Advanced Neural Network Applications
  • Age of Information Optimization
  • Stochastic Gradient Optimization Techniques

Recent publications by Matthai Philipose include the paper titled "Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling", published in 2023 in arXiv (Cornell University).

Their collaborations are recorded with several coauthors, reflecting a partnership in different research efforts. Frequent coauthors include:

  • Lequn Chen
  • Weixin Deng
  • Anirudh Canumalla
  • Xin Yu
  • Arvind Krishnamurthy

The primary venue for publications so far has been:

  • arXiv (Cornell University)

Overall, Matthai Philipose's academic profile highlights a focus on technologies related to artificial intelligence and neural networks with applications in networking and information optimization. Their work intersects theory and practical system design in computer science research.

Best Publications

  • Inferring activities from interactions with objects

    M. Philipose;K.P. Fishkin;M. Perkowitz;D.J. Patterson

  • Mapping and localization with RFID technology

    D. Hahnel;W. Burgard;D. Fox;K. Fishkin

  • Inertially controlled switch and RFID tag

    Joshua R. Smith;Matthai Philipose

  • Fine-grained activity recognition by aggregating abstract object usage

    D.J. Patterson;D. Fox;H. Kautz;M. Philipose

  • A long-term evaluation of sensing modalities for activity recognition

    Beth Logan;Jennifer Healey;Matthai Philipose;Emmanuel Munguia Tapia

  • Real-Time Video Analytics: The Killer App for Edge Computing

    Ganesh Ananthanarayanan;Paramvir Bahl;Peter Bodik;Krishna Chintalapudi

  • A Scalable Approach to Activity Recognition based on Object Use

    Jianxin Wu;A. Osuntogun;T. Choudhury;M. Philipose

  • MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints

    Seungyeop Han;Haichen Shen;Matthai Philipose;Sharad Agarwal

  • Recognizing daily activities with RFID-based sensors

    Michael Buettner;Richa Prasad;Matthai Philipose;David Wetherall

  • Battery-free wireless identification and sensing

    M. Philipose;J.R. Smith;B. Jiang;A. Mamishev

  • Energy Scavenging for Inductively Coupled Passive RFID Systems

    Bing Jiang;J.R. Smith;M. Philipose;S. Roy

  • Live video analytics at scale with approximation and delay-tolerance

    Haoyu Zhang;Ganesh Ananthanarayanan;Peter Bodik;Matthai Philipose

  • RFID-based techniques for human-activity detection

    Joshua R. Smith;Kenneth P. Fishkin;Bing Jiang;Alexander Mamishev

  • Unsupervised activity recognition using automatically mined common sense

    Danny Wyatt;Matthai Philipose;Tanzeem Choudhury

  • Fast, effective dynamic compilation

    Joel Auslander;Matthai Philipose;Craig Chambers;Susan J. Eggers

  • VideoEdge: Processing Camera Streams using Hierarchical Clusters

    Chien-Chun Hung;Ganesh Ananthanarayanan;Peter Bodik;Leana Golubchik

  • Mining models of human activities from the web

    Mike Perkowitz;Matthai Philipose;Kenneth Fishkin;Donald J. Patterson

  • System and method for performing selective dynamic compilation using run-time information

    Craig Chambers;Susan J. Eggers;Brian K. Grant;Markus Mock

  • Energy characterization and optimization of image sensing toward continuous mobile vision

    Robert LiKamWa;Bodhi Priyantha;Matthai Philipose;Lin Zhong

  • DyC: an expressive annotation-directed dynamic compiler for C

    Brian Grant;Markus Mock;Matthai Philipose;Craig Chambers

  • Focus: querying large video datasets with low latency and low cost

    Kevin Hsieh;Ganesh Ananthanarayanan;Peter Bodik;Shivaram Venkataraman

  • Do Deep Convolutional Nets Really Need to be Deep and Convolutional

    Gregor Urban;Krzysztof J. Geras;Samira Ebrahimi Kahou;Özlem Aslan

Frequent Co-Authors

Kenneth P. Fishkin
Kenneth P. Fishkin Google (United States)
Craig Chambers
Craig Chambers Google (United States)
Paramvir Bahl
Paramvir Bahl Microsoft (United States)
Joshua R. Smith
Joshua R. Smith University of Washington
Ganesh Ananthanarayanan
Ganesh Ananthanarayanan Microsoft (United States)
Sumit Roy
Sumit Roy University of Washington
Tanzeem Choudhury
Tanzeem Choudhury Cornell University
Susan J. Eggers
Susan J. Eggers University of Washington
Henry Kautz
Henry Kautz University of Virginia
Rich Caruana
Rich Caruana Microsoft (United States)

External Links

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As technology transforms industries, students interested in Computer Science often explore related online degrees to expand career opportunities. A popular choice is pursuing data science degrees, which prepare graduates for roles in analytics, AI, and big data—fields in high demand across sectors.

For those drawn to engineering and management, an online construction management degree merges tech expertise with leadership skills. This path opens doors to project management positions within tech-driven construction firms.

Many students also consider affordable online MBA programs to gain business acumen alongside their technical know-how. An MBA broadens job prospects—enabling graduates to transition into consulting, entrepreneurship, or tech management roles.

For those aiming to accelerate their education, exploring options for the 1 year masters program can provide a fast track to new career opportunities without a lengthy time commitment.

Ultimately, choosing the right pathway means considering your career goals, industry trends, and the flexibility online programs can offer.

Best Scientists Citing Matthai Philipose

Trending Scientists

Recently Published Articles