Engineering Division (Great Valley)

  • United States

Organization profile

Organization profile

Research Interests

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Software engineering Engineering & Materials Science
Students Engineering & Materials Science
Bearings (structural) Engineering & Materials Science
Industry Engineering & Materials Science
Cold heading Engineering & Materials Science
Steel Chemical Compounds
Engineers Engineering & Materials Science
Innovation Engineering & Materials Science

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Profiles

No photo of Adrian Sorin Barb

Adrian Sorin Barb

Person: Academic

20032014
No photo of Mohamad Darayi

Mohamad Darayi

Person: Academic

20102017
No photo of Joanna F. Defranco-Tommarello
20022018
No photo of Nil Hande Ergin

Nil Hande Ergin

Person: Academic

20032016
No photo of Kathryn Weed Jablokow
20002019
No photo of Mohamad Hassan Kassab

Mohamad Hassan Kassab

Person: Academic

20032018
No photo of Ashkan Negahban

Ashkan Negahban

Person: Academic

20112018

Research Output 1965 2019

Engineering education
Education
Students
engineering
learning

Comparing the Effects of Design Interventions on the Quality of Design Concepts as a Reflection of Ideation Flexibility

Henderson, D., Jablokow, K. W., Daly, S., McKilligan, S., Silk, E. & Bracken, J., Mar 1 2019, In : Journal of Mechanical Design, Transactions of the ASME. 141, 3, 031103.

Research output: Contribution to journalArticle

Students
Product design
Innovation
self-efficacy
Students
student
mechanical engineering
Self-efficacy
Quality control
Students
Mechanical engineering

A closer look at IoTs things

Voas, J., Agresti, B. & Laplante, P. A., May 1 2018, In : IT Professional. 20, 3, p. 11-14 4 p.

Research output: Contribution to journalArticle

Risk analysis
Standardization
Sensors
Internet of things
2 Citations

A joint analysis of production and seeding strategies for new products: an agent-based simulation approach

Negahban, A. & Smith, J. S., Sep 1 2018, In : Annals of Operations Research. 268, 1-2, p. 41-62 22 p.

Research output: Contribution to journalArticle

New products
Agent-based simulation
Product category
Production strategy
Marketing management
Decision making
Artificial neural network
Neuron
Analysts
Learning algorithm

An empirical investigation on the satisfaction levels with the requirements engineering practices: Agile vs. waterfall

Kassab, M. H., Defranco-Tommarello, J. F. & Graciano Neto, V., Sep 28 2018, Proceedings - 2018 IEEE International Professional Communication Conference, ProComm 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-July. p. 118-124 7 p. 8476840

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Requirements engineering
engineering
project management
Project management
development project

A semantic network model for measuring engagement and performance in online learning platforms

Lim, S., Tucker, C. S., Jablokow, K. W. & Pursel, B., Sep 1 2018, In : Computer Applications in Engineering Education. 26, 5, p. 1481-1492 12 p.

Research output: Contribution to journalArticle

electronic learning
Semantics
semantics
Students
performance

A software engineering team research mapping study

Defranco-Tommarello, J. F. & Laplante, P. A., Jan 1 2018, In : Team Performance Management. 24, 3-4, p. 203-248 46 p.

Research output: Contribution to journalReview article

Engineering research
Software engineering
Taxonomies
Process design