VLDB 2026 Research / reviewers in the wild / expert

Mark R. Hodges

dblp:95/5819 · DBLP profile ↗
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3ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0006-2600-719XORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 1 since 2021Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 77% Wearable and physiological sensing · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments › context recognition
person identification		 0.112007
An 'Object-Use Fingerprint': The Use of Electronic Sensors for Human Identification · UbiComp 2007

Methods — techniques the papers use, named apart from their topics

electronic sensors · 0.1
YearPublicationVenuePosition
2026 Evaluating the Impact of Active Learning Modes (iClickers vs. Worksheets) on Student Engagement in a CS2 Course
Han L. G. Dang, Levell S. Kensey, Scott J. Reckinger, Mark R. Hodges
 SIGCSE (2)4
2007 An 'Object-Use Fingerprint': The Use of Electronic Sensors for Human Identification
Mark R. Hodges, Martha E. Pollack
 UbiComp1
2004 Visualizing the loss of diversity in genetic programming
abstract
This work introduces visualization techniques that allow for a multivariate approach in understanding the dynamics that underlie genetic programming (GP). Emphasis is given toward understanding the relationship between problem difficulty and the loss of diversity. The visualizations raise questions about diversity and problem solving efficacy, as well as the role of the initial population in determining solution outcomes.
Jason M. Daida, David J. Ward, Adam M. Hilss, Stephen L. Long, Mark R. Hodges, Jason T. Kriesel
 IEEE Congress on Evolutionary Computation5