• OVERVIEW

    Singapore University of Technology and Design

    PhD candidate in Engineering design

    Pillar: Engineering Product Development

    Email

    binyang_song@mymail.sutd.edu.sg

    Phone

    65-81446228

  • EDUCATION

    PhD in Engineering Design (2014-now, expected 2019 Feb)

    Singapore University of Technology and Design - Singapore

    Engineering Product Development Pillar

    Exchange at University of California, Berkeley for 6 months

    M.S. in Power Engineering and Thermodynamics (June 2014)

    B.S. in Automotive Engineering (June 2011)

    Tsinghua University - China

    Department of Automotive Engineering

  • BIOGRAPHY

    Binyang Song is a Ph.D. student at Engineering Product Development pillar, Singapore University of Technology and Design. She received his B.S. degree in Automotive Engineering from Tsinghua University (THU), Beijing, China, in 2011, and M.S. degree in power engineering and engineering thermophysics from Tsinghua University, in 2014.

     

    Her research interests are focused on data-driven engineering design based on network analysis. The research objective is to develop new methodologies for analyzing the knowledge relatedness (or analogical distance) between design problems with existing technologies and solutions, and capturing useful design knowledge from prior designs to solve the problems. Currently, she is working on patent precedent retrieving, function analysis of prior designs for platform design and impact analysis of knowledge relatedness on ideation outcomes. She also analyzes domains' design knowledge base expansion using patent data based on network analysis.

  • RESEARCH

    Patent Precedent Retrieving

    We propose an iterative and heuristic methodology to comprehensively search for patents as precedents of the design of a specific technology or product for data-driven design. The patent retrieval methodology integrates the mining of patent texts, citation relationships and inventor information to identify relevant patents; particularly, the search keyword set, citation network, and inventor set are expanded through the designer’s heuristic learning from the patents identified in prior iterations. The method relaxes the requirement for initial search keywords while improving patent retrieval completeness and accuracy.

    Design Knowledge Base Expansion

    introduces a network-based methodology for visualizing and analyzing the structure and expansion trajectories of the design knowledge base of a given technology domain. The methodology is centered on overlaying the total technology space, represented as a network of all known technologies based on patent data, with the specific knowledge positions and estimated expansion paths of a specific domain as a subgraph of the total network. We demonstrate the methodology via a case study of hybrid electric vehicles. The methodology may help designers understand the technology evolution trajectories of their domain and suggest next design opportunities or directions.

    Platform Design Based on Network Analysis

    we propose a data-driven method to draw the boundary of a platform, complementing other platform design approaches and assisting designers in the architecting process. The method generates a network of functions through relationships of their co-occurrences in prior designs of a product domain and uses a network analysis algorithm to identify an optimal core-periphery structure. Functions identified in the network core co-occur cohesively and frequently with one another in prior designs, and thus are suggested for inclusion in the potential platform to be shared across a variety of product-systems with peripheral functions. We apply the method to identifying the platform functions for spherical rolling robots, based on patent data.

    Impact of Knowledge Relatedness on Ideation Outcomes

    Prior studies on design ideation have demonstrated the efficacy of using patents as stimuli for concept generation. However, the following questions remain: (a) From which part of the large patent database can designers identify stimuli? (b) What are their implications on ideation outcomes? This research aims to answer these questions through a design experiment of searching and identifying patent stimuli to generate new concepts of spherical rolling robots. We position the identified patent stimuli in the home, near and far fields defined in the network of patent technology classes, according to the network’s community structure and the knowledge proximity of the stimuli to the spherical rolling robot design. Significant findings are: designers are most likely to find patent stimuli in the home field, whereas most patent stimuli are identified in the near field; near-field patents stimulate the most concepts, which exhibit a higher average novelty; combined home- and far-field stimuli are most beneficial for high concept quality.

  • PUBLICATIONS

    Refereed Journal Papers (published or accepted)

    1. Binyang Song, Jianxi Luo. Mining patent precedents for data-driven design: the case of spherical rolling robots. Journal of Mechanical Design, 139.11 (2017): 111420.
    2. Binyang Song, Srinivasan V, Jianxi Luo. Patent Stimuli Search and its Influence on Ideation Outcomes. Design Science, Design Science 3 (2017).
    3. Srinivasan V, Binyang Song, Jianxi Luo, Karupppasamy Subburaj, Mohan Rajesh Elara, Lucienne Blessing, Kristin Wood. Does Analogical Distance Affect Performance of Ideation? Journal of Mechanical Design, 140.1 (2018): 071101.
    4. Jianxi Luo, Binyang Song, Lucienne Blessing, Kristin Wood. Design Opportunity Conception Using the Total Technology Space Map. Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM), 2018. (Accepted)
    5. Keith Burghardt, CJO Verzijl, Junming Huang, Matthew Ingram, Binyang Song and Marie Pierre Hasne. Testing modeling assumptions in the West Africa Ebola outbreak. Scientific reports, 6(2016), pp. 34598.
    6. Binyang Song, Weilin Zhuge, Rongchao Zhao, Xinqian Zheng, Yangjun Zhang, Yong Yin, Yanting Zhao. An investigation on the performance of a Brayton cycle waste heat recovery system for turbocharged diesel engines. Journal of Mechanical Science and Technology, 27 (6) (2013), pp. 1721~1729.

    Refereed Journal Papers (submitted and under review)

    1. Binyang Song, Bowen Yan, Giorgio Triulzi, Jeffrey Alstott, Jianxi Luo. Overlay Technology Space Map for Analyzing Design Knowledge Base of a Technology Domain: The Case of Hybrid Electric Vehicles. Research in Engineering Design, 2018. (under review, 3rd round)
    2. Binyang Song, Jianxi Luo, Kristin Wood. Data-driven function network analysis for product platform planning: a case study of spherical rolling robots. Journal of Mechanical Design, 2018. (under review, 1st round revision)
    3. Srinivasan V, Binyang Song, Jianxi Luo, Karupppasamy Subburaj, Mohan Rajesh Elara, Lucienne Blessing, Kristin Wood. Investigating Efficacy of Patents as Stimuli for Ideation. Research in Engineering Design, 2018. (under review, 1st round)

    Working Papers

    1. Binyang Song, Euiyoung Kim, Jianxi Luo, Alice M. Agogino. Roadmapping Research Literatures Network Analysis: What’s Next? (Working Paper)

    Refereed Conference Papers (published in proceeding)

    1. Binyang Song, Jianxi Luo, Mohan Rajesh Elara, Kristin Wood. Data-driven function network analysis for product platform planning: a case study of spherical rolling robots, International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), August 26-29, 2018, Quebec City, Quebec, Canada.
    2. Binyang Song, Jianxi Luo. Identifying patent precedents for engineering design: an iterative heuristic method of mining text, citation and inventor information. International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), August 6-9, 2017, Cleveland, Ohio, USA
    3. Srinivasan V, Binyang Song, Jianxi Luo, Karupppasamy Subburaj, Mohan Rajesh Elara, Lucienne Blessing, Kristin Wood. Investigating Effects of Analogical Distance on Ideation Performance. International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), August 6-9, 2017, Cleveland, Ohio, USA.
    4. Srinivasan V, Binyang Song, Jianxi Luo, Karupppasamy Subburaj, Mohan Rajesh Elara, Lucienne Blessing, Kristin Wood. “Investigating Effects of Stimuli on Ideation Outcomes,” ICED17: 21st International Conference on Engineering Design, Aug. 21-25, 2017, University of British Columbia, Vancouver, Canada.
    5. Binyang Song, Giorgio Triulzi, Jefrrey Alstott, Bowen Yan, Jianxi Luo. Overlay Patent Network for Analyzing Design Space Evolution: the Case of Hybrid Electrical Vehicles. 14th International Design Conference, May 16-19, 2016, Cavtat, Dubrovnik, Croatia.
    6. Binyang Song, Weilin Zhuge, Xinqian Zheng, Yangjun Zhang, Yong Yin, Yanting Zhao. Parameter study of a Brayton cycle waste heat recovery system for turbocharged diesel engines. ASME 2013 Fluids Engineering Summer Meeting, FEDSM2013-16293, July 7-11, 2013, Incline Village, Nevada, USA. 

    Patents

    1. Weilin Zhuge, Binyang Song, Yangjun Zhang, Jizhong Zhang, Junyue Zhang. A waste heat recovery system based on Brayton cycle and engines integrated with this system. ZL2012101249830. (Invention Patent, China).
    2. Bowen Yan, Jianxi Luo, Binyang Song. A data-driven method to identify the optimal knowledge proximity metric for associating patent classes. (Submitted)
  • TEACHING

    Graduate Teaching Assistant, SUTD

  • AWARDS

    • 2017.07 SSCIP Graduate Research Competition Prize
    • 2012-2013 China’s National Scholarship for Graduate Sudents
    • 2011-2012 Tsinghua University Guanghua 2nd Prize scholarship, DAE Individual Scholarship of Social Work
    • 2010-2011 Tsinghua University Individual Scholarship of Social Work, Tsinghua University 2nd Prize for Students Research Training Outstanding Program
    • 2009-2010 Tsinghua University Individual Scholarship of Social Work, Tsinghua University Scholarship of Academic Excellence
    • 2008-2009 Tsinghua University Guanghua 2nd Prize scholarship, 2nd Prize for Beijing College Students Physics Competition
    • 2007-2008 Tsinghua University Scholarship of Academic Excellence