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). His laboratory is working 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 http://www.dimelab.org.

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 2010 NASA TechBrief 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.

 

Classes

  • 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 the following short online courses that can be taken by any student from around the world. You do not need to be registered on any degree program. Register to gain instant access: https://www.dimelab.org/outreach

  • “Smart Manufacturing: Moving Machine Data to Cloud via MQTT Protocol” – a 6 week, online only, self-paced course through NC State Wolfware Outreach.
  • “Python Programming Essentials” – a short, online only, self-paced course through NC State Wolfware Outreach.

 

Research Interests

Binil Starly’s research interests include Digital Manufacturing, Digital Factories, Product Manufacturing Information, Additive Manufacturing, Tissue Biofabrication, Biometrology.

 

Education

DegreeProgramSchoolYear
Ph.D.Doctorate of Philosophy in Mechanical EngineeringDrexel University2006
BTechBachelor of Mechanical EngineeringUniversity of Kerala2001

Honors and Awards

  • 2021 | SME Journal of Manufacturing Systems Reviewer of the Year Award
  • 2021 | ISE Outstanding Research Award
  • 2021 | Outstanding Teaching Award, NC State University
  • 2020 | 20 Most-Influential Professor in Smart Manufacturing, Society of Manufacturing Engineers
  • 2018 | C. A. Anderson Outstanding Faculty Award
  • 2011 | Society of Manufacturing Engineering Young Manufacturing Engineer Award
  • 2010 | NASA TechBrief Award
  • 2009 | National Science Foundation CAREER award

 

Discover more about Binil Starly

 

Publications

"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. https://doi.org/10.1007/s10845-021-01807-x
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). https://doi.org/10.1115/1.4047486
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). https://doi.org/10.1007/s42452-021-04427-5
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. https://doi.org/10.1520/SSMS20200061
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. https://doi.org/10.1016/j.jmsy.2020.05.017
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). https://doi.org/10.1088/1758-5090/ab5158
Witness Box Protocol: Automatic machine identification and authentication in industry 4.0
Mehdi, N., & Starly, B. (2020), COMPUTERS IN INDUSTRY, 12. https://doi.org/10.1016/j.compind.2020.103340
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. https://doi.org/10.1016/j.promfg.2019.06.200
Network-based pricing for 3D printing services in two-sided manufacturing-as-a-service marketplace
Pahwa, D., & Starly, B. (2019), Rapid Prototyping Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/rpj-01-2019-0018
Provisioned Data Distribution for Intelligent Manufacturing via Fog Computing
Sherlekar, R., Starly, B., & Cohen, P. H. (2019), 47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47), pp. 893–902. https://doi.org/10.1016/j.promfg.2019.06.158

View all publications via NC State Libraries

Grants

  • Witness Box Protocol: “DIGITAL FINGERPRINTING OF MANUFACTURING MACHINES”
  • SM Profiles for CNC Machining - CESMII BP3 Wave4
  • RAPID: Supply Chain Portal to Serve Entrepreneurs Producing Critical Items in Response to COVID-19
  • RAISE: C-Accel Pilot - Track A1: Product Design and Manufacturing Graph-as-a-Service
  • Enhanced Cybersecurity for Smart Manufacturing
  • Planning Grant: Engineering Research Center for Design by Anyone and Build Anywhere (iMOS)
  • Real-time and Label-Free Monitoring of Critical Quality Attributes of Engineered Tissue Constructs Via Dielectric Impedance Spectroscopy
  • Collaborative Research: CESER: EAGER: “FabWave” - A Pilot Manufacturing Cyberinfrastructure for Shareable Access to Information Rich Product Manufacturing Data
  • CSR:Medium:SmartChainDB - Enabling Smart Marketplaces With A Scalable Semantically-Enhanced Blockchain Platform
  • ICORPS: An Online Platform for Match-Making Manufacturing Service Companies and Design Enterprises
Binil Starly