F. Frank Chen

dblp:35/4190 · DBLP profile ↗
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6ranked-venue papers
0as first author
4since 2021 · last 2026
0000-0002-7638-2186ORCID · corroborated

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

Databases, data management, data science and information retrieval · 3 · 3 since 2021Artificial intelligence and machine learning · 2 · 1 since 2021Human-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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.

Artificial intelligence
1 paper
Motion planning and robot control · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

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

optimal scheduling · 0.0cycle time analysis · 0.0
YearPublicationVenuePosition
2026 The symbiotic factory: a comprehensive framework for extending lean manufacturing to human-AI collaboration
Mohammad Shahin, Mazdak Maghanaki, F. Frank Chen
Expert Syst. Appl.3
2024 Harnessing customized AI to create voice of customer via GPT3.5
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh
Adv. Eng. Informatics2
2024 Advancing Network Security in Industrial IoT: A Deep Dive into AI-Enabled Intrusion Detection Systems
Mohammad Shahin, Mazdak Maghanaki, Ali Hosseinzadeh, F. Frank Chen
Adv. Eng. Informatics4
2023 A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, Hamid Khodadadi Koodiani, Awni Shahin, Omar Ali Nafi
Adv. Eng. Informatics2
2007 Evolutionary Algorithm Based Corrective Process Control System in Glass Melting Process
Hosang Jung, F. Frank Chen
EMO2
1996 Optimal sequencing of double-gripper gantry robot moves in tightly-coupled serial production systems
abstract
This study addresses the problem of scheduling double-gripper gantry robots and provides a structure for analyzing scheduling problems in a tightly-coupled automated serial production line with deterministic processing time. Literature to date indicates that there has been no documented effort dealing with the scheduling problem of double-gripper gantry robots. This paper presents an optimal schedule by analyzing the cycle time formula for two-station (m=2) tightly-coupled production lines served by a double-gripper gantry robot. The result is then generalized to the problem of scheduling a gantry robot in a production line with m (where m>2) workstations, and finally an optimal schedule for the m-station case is developed. The effectiveness of using double-gripper gantry robots is discussed and some analytical insights into the employment of double-gripper gantry robot are provided for manufacturing system designers.
F. Frank Chen
IEEE Trans. Robotics Autom.2