Binil Starly

James T. Ryan Professor

Binil Starly joined North Carolina State University in August 2013. He directs the Data Intensive Manufacturing Laboratory (DIME Lab) that works on technologies that merge the digital and the physical world towards advancing both discrete and continuous manufacturing processes. His specific technical expertise is in digital design and fabrication, cyber-physical systems in manufacturing, additive manufacturing and biofabrication processes. As part of the advanced manufacturing cluster, his work involves digital design tools through machine learning, manufacturing-as-a-service marketplaces and intelligent machines to achieve the goal of democratizing access to design tools and manufacturing services for on-demand highly personalized part production. Such products include personalized products, medical implants, one-off spare parts etc. Additional information about Starly’s work, including publications and research, can be found at

Starly has received the National Science Foundation CAREER award for research in multi-scale biological tissue scaffold systems built from additive manufacturing platforms. He has published over 45 journal publications in the field of design/manufacturing, customized biomedical implants, biofabrication, and tissue engineering. For his contributions, he has been awarded the 2011 Society of Manufacturing Engineering Young Manufacturing Engineer Award and the 2010 NASA Tech Brief Award. He has supervised the research of 22 M.S. and 6 Ph.D. students. He is also the advisor of 7 graduate students and 3 undergraduate students. He teaches undergraduate and graduate courses related to Product Development, Digital Design and Manufacturing, Additive Manufacturing and Smart Manufacturing.

Starly’s formal education began with a B.S. in Mechanical Engineering from the University of Kerala, India and then a Ph.D. degree in Mechanical Engineering from Drexel University. He then joined the University of Oklahoma to develop additive manufacturing platforms for tissue engineering.


  • Product Development (Undergraduate)
  • Digital Manufacturing (Undergraduate & Graduate)
  • Python for Industrial Engineers with Numerical & Scientific Computing (Undergraduate & Graduate)
  • Smart Manufacturing (Graduate)

NC State Wolfware Outreach
Starly offers “Python Programming Essentials” – a short, online only, self-paced course through NC State Wolfware Outreach. The course is continually run and updated. Register to gain instant access:

Discover more about Binil Starly




"FabNER": information extraction from manufacturing process science domain literature using named entity recognition
Kumar, A., & Starly, B. (2021, June 24), JOURNAL OF INTELLIGENT MANUFACTURING, Vol. 6.
A genetic algorithm for order acceptance and scheduling in additive manufacturing
Kapadia, M. S., Uzsoy, R., Starly, B., & Warsing, D. P., Jr. (2021, October 23), INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, Vol. 10.
Dynamic matching with deep reinforcement learning for a two-sided Manufacturing-as-a-Service (MaaS) marketplace
Pahwa, D., & Starly, B. (2021), MANUFACTURING LETTERS, 8.
MVCNN plus plus : Computer-Aided Design Model Shape Classification and Retrieval Using Multi-View Convolutional Neural Networks
Angrish, A., Bharadwaj, A., & Starly, B. (2021), JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 21(1).
Recurrent neural networks with long term temporal dependencies in machine tool wear diagnosis and prognosis
Zhang, J., Zeng, Y., & Starly, B. (2021), SN APPLIED SCIENCES, 3(4).
Automating the Search and Discovery of Manufacturing Service Providers to Enable a Digital Supply Chain Network
Starly, B., Cohen, P., & Raman, S. (2020), SMART AND SUSTAINABLE MANUFACTURING SYSTEMS, 4(3), 276–280.
Decentralized cloud manufacturing-as-a-service (CMaaS) platform architecture with configurable digital assets
Hasan, M., & Starly, B. (2020), JOURNAL OF MANUFACTURING SYSTEMS, 56, 157–174.
The bioprinting roadmap
Sun, W., Starly, B., Daly, A. C., Burdick, J. A., Groll, J., Skeldon, G., … Ozbolat, I. T. (2020). [Review of , ]. BIOFABRICATION, 12(2).
Witness Box Protocol: Automatic machine identification and authentication in industry 4.0
Mehdi, N., & Starly, B. (2020), COMPUTERS IN INDUSTRY, 12.
Integrating A Dynamic Simulator and Advanced Process Control using the OPC-UA Standard
Latif, H., Shao, G., & Starly, B. (2019), 47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47), pp. 813–819.

View all publications via NC State Libraries

Binil Starly