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Computer Science

D-Index
45
Citations
7413
World Ranking
7263
National Ranking
3168

Overview

Vaneet Aggarwal is affiliated with Purdue University West Lafayette in the United States. Their research spans multiple domains within computer science and engineering, marked by extensive scholarly contributions focused on various advanced technological areas.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these fields, Aggarwal's work delves into specialized subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Management Science and Operations Research
  • Electrical and Electronic Engineering
  • Computer Vision and Pattern Recognition

The primary topics addressed in their research output encompass:

  • Reinforcement Learning in Robotics
  • Advanced Bandit Algorithms Research
  • Caching and Content Delivery
  • Privacy-Preserving Technologies in Data
  • Transportation and Mobility Innovations
  • Optimization and Search Problems
  • Quantum Computing Algorithms and Architecture

Aggarwal has published extensively across notable venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Networking
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Transactions on Artificial Intelligence

Recent papers authored or co-authored by Aggarwal illustrate a diverse research portfolio with publication years and venues as follows:

  • "Multi-Stage Hybrid Federated Learning Over Large-Scale D2D-Enabled Fog Networks," 2022, IEEE/ACM Transactions on Networking
  • "Heat-assisted detection and ranging," 2023, Nature
  • "FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation," 2021, IEEE Transactions on Intelligent Transportation Systems
  • "Fault-Resilience for Bandwidth Management in Industrial Software-Defined Networks," 2021, IEEE Transactions on Network Science and Engineering
  • "A shallow hybrid classical-quantum spiking feedforward neural network for noise-robust image classification," 2023, Applied Soft Computing

Frequent collaborators in Aggarwal's work include:

  • Washim Uddin Mondal
  • Amrit Singh Bedi
  • Mridul Agarwal
  • Tian Lan
  • Qinbo Bai

Best Publications

  • Design and Characterization of a Full-Duplex Multiantenna System for WiFi Networks

    Melissa Duarte;Ashutosh Sabharwal;Vaneet Aggarwal;Rittwik Jana

  • Design and Characterization of a Full-duplex Multi-antenna System for WiFi networks

    Melissa Duarte;Ashutosh Sabharwal;Vaneet Aggarwal;Rittwik Jana

  • Exploiting mobility in proportional fair cellular scheduling: measurements and algorithms

    Robert Margolies;Ashwin Sridharan;Vaneet Aggarwal;Rittwik Jana

  • Efficient Low Rank Tensor Ring Completion

    Wenqi Wang;Vaneet Aggarwal;Shuchin Aeron

  • Prometheus: toward quality-of-experience estimation for mobile apps from passive network measurements

    Vaneet Aggarwal;Emir Halepovic;Jeffrey Pang;Shobha Venkataraman

  • DeepPool: Distributed Model-Free Algorithm for Ride-Sharing Using Deep Reinforcement Learning

    Abubakr O. Al-Abbasi;Arnob Ghosh;Vaneet Aggarwal

  • Wide Compression: Tensor Ring Nets

    Vaneet Aggarwal;Wenlin Wang;Brian Eriksson;Yifan Sun

  • Modeling web quality-of-experience on cellular networks

    Athula Balachandran;Vaneet Aggarwal;Emir Halepovic;Jeffrey Pang

  • Iterative Dynamic Water-Filling for Fading Multiple-Access Channels With Energy Harvesting

    Zhe Wang;Vaneet Aggarwal;Xiaodong Wang

  • From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks

    Seyyedali Hosseinalipour;Christopher G. Brinton;Vaneet Aggarwal;Huaiyu Dai

  • Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage

    Yu Xiang;Tian Lan;Vaneet Aggarwal;Yih-Farn R. Chen

  • Low-Tubal-Rank Tensor Completion Using Alternating Minimization

    Xiao-Yang Liu;Shuchin Aeron;Vaneet Aggarwal;Xiaodong Wang

  • Control of Charging of Electric Vehicles Through Menu-Based Pricing

    Arnob Ghosh;Vaneet Aggarwal

  • Adaptive Sampling of RF Fingerprints for Fine-Grained Indoor Localization

    Xiao-Yang Liu;Shuchin Aeron;Vaneet Aggarwal;Xiaodong Wang

  • Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

    Seyyedali Hosseinalipour;Sheikh Shams Azam;Christopher G. Brinton;Nicolo Michelusi

  • Secrecy capacity of a class of orthogonal relay eavesdropper channels

    Vaneet Aggarwal;Lalitha Sankar;A. Robert Calderbank;H. Vincent Poor

  • Layered Exact-Repair Regenerating Codes via Embedded Error Correction and Block Designs

    Chao Tian;Birenjith Sasidharan;Vaneet Aggarwal;Vinay A. Vaishampayan

  • System for consolidating heterogeneous data centers through virtualization of services

    Rittwik Jana;Vaneet Aggarwal;Xu Chen;Vijay Gopalakrishnan

  • FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers and Goods Transportation

    Kaushik Manchella;Abhishek K. Umrawal;Vaneet Aggarwal

  • System and method for full duplex cancellation

    Rittwik Jana;Vaneet Aggarwal;Christopher W. Rice;Nemmara K. Shankaranarayanan

  • Exploiting virtualization for delivering cloud-based IPTV services

    Vaneet Aggarwal;Xu Chen;Vijay Gopalakrishnan;Rittwik Jana

Frequent Co-Authors

Ashutosh Sabharwal
Ashutosh Sabharwal Rice University
Tian Lan
Tian Lan George Washington University
Rittwik Jana
Rittwik Jana Google (United States)
Vinay A. Vaishampayan
Vinay A. Vaishampayan City University of New York
Bharat Bhargava
Bharat Bhargava Purdue University West Lafayette
Mehdi Bennis
Mehdi Bennis University of Oulu
A. Salman Avestimehr
A. Salman Avestimehr University of Southern California
Kadangode K. Ramakrishnan
Kadangode K. Ramakrishnan University of California, Riverside
B. Sundar Rajan
B. Sundar Rajan Indian Institute of Science
H. Vincent Poor
H. Vincent Poor Princeton University

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