activity
20132025
most citedEngineering Crowdsourced Stream Processing Systems

23 citations · 76 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CY2025★ 3 cited

Excited, Skeptical, or Worried? A Multi-Institutional Study of Student Views on Generative AI in Computing Education

Isaac Alpizar-Chacon, Hieke Keuning, Imke de Jong +2

The application of Artificial Intelligence, in particular Generative AI, has become more widespread among educational institutions. Opinions vary widely on whether integrating AI i…

cs.CE2025

BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints

Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti +2

We introduce BikeBench, an engineering design benchmark for evaluating generative models on problems with multiple real-world objectives and constraints. As generative AI's reach c…

math.OC2025★ 1 cited

A Hierarchical Integer Linear Programming Approach for Optimizing Team Formation in Education

Aaron Kessler, Tim Scheiber, Heinz Schmitz +1

Teamwork is integral to higher education, fostering students' interpersonal skills, improving learning outcomes, and preparing them for professional collaboration later in their ca…

cs.CY2024★ 2 cited

Students' Perceptions and Use of Generative AI Tools for Programming Across Different Computing Courses

Hieke Keuning, Isaac Alpizar-Chacon, Ioanna Lykourentzou +4

Investigation of students' perceptions and opinions on the use of generative artificial intelligence (GenAI) in education is a topic gaining much interest. Studies addressing this…

cs.HC2024★ 16 cited

Prompting for products: Investigating design space exploration strategies for text-to-image generative models

Leah Chong, I-Ping Lo, Jude Rayan +3

Text-to-image models are enabling efficient design space exploration, rapidly generating images from text prompts. However, many generative AI tools are imperfect for product desig…

cs.AI2024★ 2 cited

CAD-Prompted Generative Models: A Pathway to Feasible and Novel Engineering Designs

Leah Chong, Jude Rayan, Steven Dow +2

Text-to-image generative models have increasingly been used to assist designers during concept generation in various creative domains, such as graphic design, user interface design…

cs.HC2024★ 3 cited

From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction

Muhammad Raees, Inge Meijerink, Ioanna Lykourentzou +2

AI systems are increasingly being adopted across various domains and application areas. With this surge, there is a growing research focus and societal concern for actively involvi…

cs.HC2021

"What Artists Want": Elicitation of Artist Requirements to Feed the Design on a New Collaboration Platform for Creative Work

Angeliki Antoniou, Ioanna Lykourentzou, Antonios Liapis +2

Aiming at designing a decentralized platform to support grassroot initiatives for self-organized creative work, the present work solicited feedback from a group of visual artists r…

cs.HC2021★ 1 cited

Self-Organizing Teams in Online Work Settings

Ioanna Lykourentzou, Federica Lucia Vinella, Faez Ahmed +4

As the volume and complexity of distributed online work increases, the collaboration among people who have never worked together in the past is becoming increasingly necessary. Rec…

cs.SI2016★ 4 cited

It's about time: Online Macrotask Sequencing in Expert Crowdsourcing

Heinz Schmitz, Ioanna Lykourentzou

We introduce the problem of Task Assignment and Sequencing (TAS), which adds the timeline perspective to expert crowdsourcing optimization. Expert crowdsourcing involves macrotasks…

cs.HC2015★ 3 cited

Matching or Crashing? Personality-based Team Formation in Crowdsourcing Environments

Ioanna Lykourentzou, Angeliki Antoniou, Yannick Naudet

"Does placing workers together based on their personality give better performance results in cooperative crowdsourcing settings, compared to non-personality based crowd team format…

cs.DB2014★ 18 cited

Optimization in Knowledge-Intensive Crowdsourcing

Senjuti Basu Roy, Ioanna Lykourentzou, Saravanan Thirumuruganathan +2

We present SmartCrowd, a framework for optimizing collaborative knowledge-intensive crowdsourcing. SmartCrowd distinguishes itself by accounting for human factors in the process of…

cs.DB2013★ 23 cited

Engineering Crowdsourced Stream Processing Systems

Muhammad Imran, Ioanna Lykourentzou, Yannick Naudet +1

A crowdsourced stream processing system (CSP) is a system that incorporates crowdsourced tasks in the processing of a data stream. This can be seen as enabling crowdsourcing work t…