Gennady Andrienko

Professor

City University

United Kingdom

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About

Gennady Andrienko is a Professor at City University in the United Kingdom. His research areas encompass visual analytics, geovisualization, and mobility data science, with recent articles exploring topics such as collaboration in human-LLM partnerships, tactical analyses in sports, and the challenges of analyzing multivariate temporal data. He contributes significantly to the development of conceptual frameworks for visualizing complex data, particularly in the context of mobility and behavioral pattern recognition.

Articles (17)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

Collaborators (15)

Michel Verleysen

University of Louvain

BELGIUM

Gennady Andrienko

Research Interests

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Articles (17)

Designing for Collaboration: Visualization to Enable Human–LLM Analytical Partnership

Visualizing game dynamics at a specific time: Influence of the players’ poses for tactical analyses in padel

Contextualized visual analytics for multivariate events

Geovisualization: past, present, and future

Mobility Data Science: Perspectives and Challenges

Topic modelling for spatial insights: Uncovering space use from movement data

Human-in-the-Loop: Visual Analytics for Building Models Recognizing Behavioral Patterns in Time Series

A conceptual framework for developing dashboards for big mobility data

Episodes and Topics in Multivariate Temporal Data

Exploring and visualizing temporal relations in multivariate time series

It's about Time: Analytical Time Periodization

A hybrid prediction and search approach for flexible and efficient exploration of big data

The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications

Identifying, exploring, and interpreting time series shapes in multivariate time intervals

Explaining deep reinforcement learning decisions in complex multiagent settings: towards enabling automation in air traffic flow management

Seeking Patterns of Visual Pattern Discovery for Knowledge Building

Supporting Visual Exploration of Iterative Job Scheduling

Collaborators (15)

Michel Verleysen

Aidan Slingsby

Robert Weibel

Li Xiong

Walid G. Aref

Andreas Züfle

Dimitris Sacharidis

Mahmoud Sakr

Cheng Fu

Bettina Speckmann

Yang Cao

Brian Fisher

Haosheng Huang

Natalia Andrienko

Mai Elshehaly

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