World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
27854
World Ranking
2526
National Ranking
1261

Research.com Recognitions

  • 2014 - ACM Distinguished Member

Overview

Marco Gruteser is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the fields of Computer Science and Engineering, with particular emphasis on Artificial Intelligence, Electrical and Electronic Engineering, Computer Science Applications, Computer Vision and Pattern Recognition, and Aerospace Engineering.

Their work addresses various topics including Privacy-Preserving Technologies in Data, Mobile Crowdsensing and Crowdsourcing, Video Surveillance and Tracking Methods, Indoor and Outdoor Localization Technologies, Autonomous Vehicle Technology and Safety, Privacy, Security, and Data Protection, as well as Cryptography and Data Security.

Marco Gruteser has contributed to a number of publications, with recent notable papers including:

  • Advances and Open Problems in Federated Learning, 2020, published in Foundations and Trends® in Machine Learning
  • Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation, 2022, published in Proceedings on Privacy Enhancing Technologies
  • Energy and Emissions of Machine Learning on Smartphones vs. the Cloud, 2024, published in Communications of the ACM
  • ViFi-Loc: Multi-modal Pedestrian Localization using GAN with Camera-Phone Correspondences, 2023, published in INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
  • Camera-Based Light Emitter Localization Using Correlation of Optical Pilot Sequences, 2022, published in IEEE Access

Frequent co-authors in their work include:

  • Peter Kairouz
  • Adrià Gascón
  • Kallista Bonawitz
  • Daniel Ramage
  • Eugene Bagdasaryan

Their research output is often disseminated through venues such as:

  • arXiv (Cornell University)
  • Communications of the ACM
  • Foundations and Trends® in Machine Learning
  • Proceedings on Privacy Enhancing Technologies
  • INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

In the course of their academic career, Marco Gruteser was recognized as an ACM Distinguished Member in 2014.

Best Publications

  • Advances and Open Problems in Federated Learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking

    Marco Gruteser;Dirk Grunwald

  • Real-time status: How often should one update?

    Sanjit Kaul;Roy Yates;Marco Gruteser

  • Advances and open problems in federated learning

    Peter Kairouz;H. Brendan McMahan;Brendan Avent;Aurélien Bellet

  • Wireless device identification with radiometric signatures

    Vladimir Brik;Suman Banerjee;Marco Gruteser;Sangho Oh

  • E-eyes: device-free location-oriented activity identification using fine-grained WiFi signatures

    Yan Wang;Jian Liu;Yingying Chen;Marco Gruteser

  • Minimizing age of information in vehicular networks

    Sanjit Kaul;Marco Gruteser;Vinuth Rai;John Kenney

  • Protecting Location Privacy Through Path Confusion

    Baik Hoh;M. Gruteser

  • ParkNet: drive-by sensing of road-side parking statistics

    Suhas Mathur;Tong Jin;Nikhil Kasturirangan;Janani Chandrasekaran

  • Security and privacy vulnerabilities of in-car wireless networks: a tire pressure monitoring system case study

    Ishtiaq Rouf;Rob Miller;Hossen Mustafa;Travis Taylor

  • Edge Assisted Real-time Object Detection for Mobile Augmented Reality

    Luyang Liu;Hongyu Li;Marco Gruteser

  • Virtual trip lines for distributed privacy-preserving traffic monitoring

    Baik Hoh;Marco Gruteser;Ryan Herring;Jeff Ban

  • Status updates through queues

    Sanjit K. Kaul;Roy D. Yates;Marco Gruteser

  • Preserving privacy in gps traces via uncertainty-aware path cloaking

    Baik Hoh;Marco Gruteser;Hui Xiong;Ansaf Alrabady

  • Enhancing Security and Privacy in Traffic-Monitoring Systems

    B. Hoh;M. Gruteser;H. Xiong;A. Alrabady

  • An energy-efficient mobile recommender system

    Yong Ge;Hui Xiong;Alexander Tuzhilin;Keli Xiao

  • Enhancing location privacy in wireless LAN through disposable interface identifiers: a quantitative analysis

    Marco Gruteser;Dirk Grunwald

  • Protecting privacy, in continuous location-tracking applications

    M. Gruteser;Xuan Liu

  • Detecting driver phone use leveraging car speakers

    Jie Yang;Simon Sidhom;Gayathri Chandrasekaran;Tam Vu

  • Privacy-aware location sensor networks

    Marco Gruteser;Graham Schelle;Ashish Jain;Rick Han

Frequent Co-Authors

Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Richard P. Martin
Richard P. Martin Rutgers, The State University of New Jersey
Narayan B. Mandayam
Narayan B. Mandayam Rutgers, The State University of New Jersey
Kristin J. Dana
Kristin J. Dana Rutgers, The State University of New Jersey
Richard Howard
Richard Howard Rutgers, The State University of New Jersey
Fan Bai
Fan Bai General Motors (United States)
Hongbo Liu
Hongbo Liu University of Electronic Science and Technology of China
Ivan Seskar
Ivan Seskar Rutgers, The State University of New Jersey
Ramesh Govindan
Ramesh Govindan University of Southern California
Yanyong Zhang
Yanyong Zhang University of Science and Technology of China

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

Studying Computer Science in the USA unlocks many academic and career opportunities. For learners seeking flexibility or affordability, online education offers pathways in related fields such as engineering, business, and library science. When planning your journey, it’s crucial to explore your choices and find programs that fit your budget and career goals.

Many universities now offer affordable online bachelor degree programs, helping undergraduates begin their computer science or IT studies without the high costs of traditional tuition. Additionally, students interested in technical specializations may consider enrolling in the cheapest online engineering degree programs, which cover core subjects like software, electrical, or mechanical engineering.

For those looking to advance into leadership or management roles, online executive mba programs offer advanced business skills that complement a technical background. If you are interested in information science or digital resources, pursuing a library science degree online can open up roles in data management and archive technology.

Each pathway enhances your expertise, supporting diverse careers in today’s digital economy.

Best Scientists Citing Marco Gruteser

Trending Scientists