Leandros Tassiulas

Leandros Tassiulas

Yale University

H-index: 83

North America-United States

About Leandros Tassiulas

Leandros Tassiulas, With an exceptional h-index of 83 and a recent h-index of 41 (since 2020), a distinguished researcher at Yale University, specializes in the field of Networking, wireless communications, sensor networks, internet protocols and architectures, stochastic optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach

Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN

From Similarity to Superiority: Channel Clustering for Time Series Forecasting

Machine Learning on Blockchain Data: A Systematic Mapping Study

An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control

Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks

Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach

Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks

Leandros Tassiulas Information

University

Position

Professor of Electrical Engineering

Citations(all)

34010

Citations(since 2020)

7218

Cited By

29862

hIndex(all)

83

hIndex(since 2020)

41

i10Index(all)

326

i10Index(since 2020)

141

Email

University Profile Page

Yale University

Google Scholar

View Google Scholar Profile

Leandros Tassiulas Skills & Research Interests

Networking

wireless communications

sensor networks

internet protocols and architectures

stochastic optimization

Top articles of Leandros Tassiulas

Title

Journal

Author(s)

Publication Date

Predictive Handover Strategy in 6G and Beyond: A Deep and Transfer Learning Approach

arXiv preprint arXiv:2404.08113

Ioannis Panitsas

Akrit Mudvari

Ali Maatouk

Leandros Tassiulas

2024/4/11

Constrained Reinforcement Learning for Adaptive Controller Synchronization in Distributed SDN

arXiv preprint arXiv:2403.08775

Ioannis Panitsas

Akrit Mudvari

Leandros Tassiulas

2024/1/21

From Similarity to Superiority: Channel Clustering for Time Series Forecasting

arXiv preprint arXiv:2404.01340

Jialin Chen

Jan Eric Lenssen

Aosong Feng

Weihua Hu

Matthias Fey

...

2024/3/31

Machine Learning on Blockchain Data: A Systematic Mapping Study

Georgios Palaiokrassas

Sarah Bouraga

Leandros Tassiulas

2024/3/25

An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control

arXiv preprint arXiv:2403.04880

Aosong Feng

Weikang Qiu

Jinbin Bai

Kaicheng Zhou

Zhen Dong

...

2024/3/7

Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks

IEEE Transactions on Mobile Computing

Bing Luo

Wenli Xiao

Shiqiang Wang

Jianwei Huang

Leandros Tassiulas

2024/2/1

Compiler for Distributed Quantum Computing: a Reinforcement Learning Approach

arXiv preprint arXiv:2404.17077

Panagiotis Promponas

Akrit Mudvari

Luca Della Chiesa

Paul Polakos

Louis Samuel

...

2024/4/25

Cyber-Twin: Digital Twin-boosted Autonomous Attack Detection for Vehicular Ad-Hoc Networks

arXiv preprint arXiv:2401.14005

Yagmur Yigit

Ioannis Panitsas

Leandros Maglaras

Leandros Tassiulas

Berk Canberk

2024/1/25

Fog Computing for Deep Learning with Pipelines

Antero Vainio

Akrit Mudvari

Diego Kiedanski

Sasu Tarkoma

Leandros Tassiulas

2023/5/1

Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns

Zheyu Chen

Kin K Leung

Shiqiang Wang

Leandros Tassiulas

Kevin Chan

...

2023/5/28

Deep reinforcement learning-based rebalancing policies for profit maximization of relay nodes in payment channel networks

Nikolaos Papadis

Leandros Tassiulas

2023/7/11

Quantum Switch Scheduling for Information Qubits

ACM SIGMETRICS Performance Evaluation Review

Panagiotis Promponas

V´ ctor Valls

Leandros Tassiulas

2023/10/2

Age Optimum Sampling in Non-Stationary Environment

arXiv preprint arXiv:2310.20275

Jinheng Zhang

Haoyue Tang

Jintao Wang

Sastry Kompella

Leandros Tassiulas

2023/10/31

Fundamentals of clustered molecular nanonetworks

IEEE Transactions on Molecular, Biological and Multi-Scale Communications

Seyed Mohammad Azimi-Abarghouyi

Harpreet S Dhillon

Leandros Tassiulas

2023/4/14

Interference-Aware Molecular Detector Design for Clustered Bio-Nanonetworks

Seyed Mohammad Azimi-Abarghouyi

Harpreet S Dhillon

Leandros Tassiulas

2023/5/28

Sampling for remote estimation of an Ornstein-Uhlenbeck process through channel with unknown delay statistics

Journal of Communications and Networks

Yuchao Chen

Haoyue Tang

Jintao Wang

Pengkun Yang

Leandros Tassiulas

2023/10

On the Capacity of the Quantum Switch with and without Entanglement Decoherence

IEEE Communications Letters

Víctor Valls

Panagiotis Promponas

Leandros Tassiulas

2023/6/28

Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation

Zheyu Chen

Kin K Leung

Shiqiang Wang

Leandros Tassiulas

Kevin Chan

...

2023/10/30

DINC: Toward distributed in-network computing

Proceedings of the ACM on Networking

Changgang Zheng

Haoyue Tang

Mingyuan Zang

Xinpeng Hong

Aosong Feng

...

2023/11/28

Monetary Policy, Digital Assets, and DeFi Activity

arXiv preprint arXiv:2302.10252

Antzelos Kyriazis

Iason Ofeidis

Georgios Palaiokrassas

Leandros Tassiulas

2023/2/20

See List of Professors in Leandros Tassiulas University(Yale University)