People

Publication

Research

Teaching

Service

Awards

 


 

Recent professional service

 

1.    Leadership and contributions to Purdue University in AI and data science research and education: Dr. Lin has demonstrated his leadership in data science research and education. Currently, he is the Director of the Data Science Consulting Service and helps corporate partners and Purdue faculty with their data science-related projects. Beyond his research, Dr. Lin is a dedicated and inspiring educator. He has mentored numerous graduate students and postdoctoral researchers, many of whom have gone on to successful careers in academia and industry. On the data science education side, he is establishing a Geospatial Data Science Certificate program at Purdue and created an IMPACT Data Science Education program to help faculty incorporate Data Science into their courses. Guang developed two data-science courses on machine learning and uncertainty quantification in data science for undergraduates and graduates (MA 598, ME 597). In the meantime, he is actively involved in reshaping the mathematics data science major curriculum and served on the curriculum committee.

2.    Foster interdisciplinary collaborations at Purdue: Lin also exemplifies the Purdue spirit of service. He has played a key role in fostering interdisciplinary collaborations across departments and spearheading Quantum information science initiatives that have enhanced Purdue’s reputation as a leader in innovation and research excellence. His efforts in leadership in the Data Science Consulting Service, organizing the Purdue National Labs Day University-wide event to foster the collaboration between National Labs and Purdue faculty and students, organizing machine learning conferences, and contributing to departmental growth by serving in the data science cluster hiring committee are a testament to his commitment to advancing both the university and his field.

3.    Contributions to academic community: Dr. Lin has made significant service contributions to the academic community. He has served as a frequent reviewer for NSF, NIH, DOE, AFOSR, ONR funding agencies, and many top-tier journals. He has organized many academic conferences and workshops, including co-organizing the 75th American Physics Society Annual Meeting of the Division of Fluid Dynamics, mini symposiums at SIAM Annual Meetings, and SIAM Conferences on Uncertainty Quantification. Additionally, Dr. Lin serves as the Associate Editor of SIAM Multiscale Modeling and Simulation and the ASME Journal of Computing and Information Science in Engineering.

4.    Served as the associate Editor of American Society of Mechanical Engineering Journal of Computing and Information Science in Engineering, 2022.

5.    Served as the Co-Organizer of the 75th American Physics Society Annual Meeting of the Division of Fluid Dynamics, November 20-22, 2022, Indianapolis, IN.

6.    Served as the minisymposium Co-Chair at SIAM Conference on Uncertainty Quantification, April 12-15, 2022, Atlanta, GA.

7.    Served as the Session Co-Chair for DOE Explainable/ Interpretable/ Trustworthy AI of Artificial Intelligence for Earth System Predictability Workshop, Nov. 10th, 2021.

8.    Served as a Guest Editor for Special Issue Geostatistics and Machine Learning”, in Mathematical Geosciences, 2020-2021

9.    Served as the executive committee Chair for the Initiative in Data Engineering and Applications, College of Engineering, Purdue University, 2021- Present.

10. Served as the Chair of Computer Committee for the Department of Mathematics, 2020-Present

11. Served in Applied Mathematics Committee, Department of Mathematics, Purdue University, 2019-Present.

12. Served as Dean’s Fellow, College of Science, Purdue University, 2019-2020.

13. Served in the executive committee for the Initiative in Data Engineering and Applications, College of Engineering, Purdue University, 2019- Present.

14. Served as the core-team member in the Center for Intelligent Infrastructure, Purdue University, 2019- Present.

15. Served as the math department representative in the Data Science Major Curriculum Re-design Committee, Purdue University, 2019-Present.

16. Served in the Computer Committee, Department of Mathematics, Purdue University, 2019-Present.

17. Served in the GeoData Science for Professionals (GDSP) MS Program Advisory Committee, 2019-Present.

18. Director of Purdue Data Science Consulting Services, 2019-Present

19. Faculty advisor of Undergraduate Purdue Robomaster Club, Purdue University, 2018-.

20. Chair for Purdue Center for Computational & Applied Mathematics Lunch Seminar Series, 2017-Present

21. Served on the Purdue Astronaut Scholarship Board, 2018-Present

22. Co-chair the conference on “Workshop on Fast Direct Solvers”, Purdue CCAM, 2018.

23. Serve in the “Data Science Cluster Search” Purdue Faculty Search Committee in 2018-2019.

24. Serve in the Department of Mathematics Primary Committee, 2018-Present.

25. Serve in the Department of Mathematics Computer Committee, 2018-Present.

26.  Co-organize Annual Meeting of the American Physics Society Division of Fluid Dynamics, Indianapolis, IN, 2022.

27. Organize IMA PI Conference on Approximation Theory and Machine Learning, Purdue University, September 18-20, 2018.

28. Organize the workshop on “Current Trends and Challenges in Data Science and Uncertainty Quantification”, Purdue University, Mar 31, 2018.

29. Serve in the primary committee at the Department of Mathematics, Purdue, 2017-2018.

30. Serve as a mentor for Purdue Network for Computational Nanotechnology Summer Undergraduate Research Fellowship, 2014-Present. Mentored 5 undergraduates: Yiyi Chen, Ruotong Ji, Zixuan Liu, Tian Qiu, Lefei Liu.

31. Co-chair the conference on “Workshop on Fast Direct Solvers”, Purdue CCAM, 2016.

32. Serve in the “Predictive Science Clustering Hiring” Purdue Faculty Search Committee in 2015-2016

33. Serve as a mentor in Wentao Chen’s Purdue undergraduate team, who was awarded the prize of finalist in the MCM math modeling contest in 2016, which is one of 22 finalist teams out of 7421 teams around the world.

34. Serve as a mentor at Purdue Campus for the Society for Collegiate Leadership & Achievement

35. Serve as NSF CISE proposal reviewer, 2016.

36. Associate Editor: “SIAM MMS”, 2019-.

37. Guest Editor: Special Issue "Mathematical Models and Computational Methods in Biofilm Research (MMCM)", BioMed Research International, 2016.

38. Journal Editor: Serve in the editorial board of “International Journal of Uncertainty Quantification”, 2010-present.

39. Journal Editor: Serve in the editorial board of “Journal of Stochastics”, 2013

40. Journal Editor: Serve in the editorial board of “Scientific World Journal”, 2013

41. Journal Editor: Serve in the editorial board of “Austin Statistics”, 2013-

42. Department of Energy Nuclear Energy University Program Proposal Review, April 2011, Bethesda, MD.

43.  Department of Energy’s Early Career Research Program panel review, January 12, 2010, Bethesda, MD

44. Serving in the Internal Proposals and Whitepapers Review Panel at PNNL, 2007-2014.

45. Minisymposium Chair, “Uncertainty Quantification for Complex System”, Minisymposium, 2010 SIAM Annual Meeting, July 12-16, 2010, Pittsburgh, Pennsylvania.

46. Co-organizer for “Math for Power Systems” workshop, August 17th, 2010, Richland, WA.

47. Minisymposium Chair, “Mathematical and Numerical Aspects of Uncertainty Quantification” Minisymposium, 7th International Congress on Industrial and Applied Mathematics (ICIAM) 2011 Meeting, July 18-22, 2011, Vancouver, British Columbia, Canada.

48. Minisymposium Chair, “Numerical Methods for Complex Flows” Minisymposium, 7th International Congress on Industrial and Applied Mathematics (ICIAM) 2011 Meeting, July 18-22, 2011, Vancouver, British Columbia, Canada.

49. Invited Session Chair, “Uncertainty Quantification in Computational Fluid Dynamics” invited session, 20th AIAA Computational Fluid Dynamics Conference, Honolulu, Hawaii, June 27-30, 2011.

50. Minisymposium Chair, “Climate Uncertainty Quantification” Minisymposium, SIAM Conference on Uncertainty Quantification, Raleigh, North Caolina, April 2-5, 2012.

51. Reviewer for Journal of Computational Physics, SIAM Journal on Scientific Computing, ESAIM: Mathematical Modeling and Numerical Analysis, Computer Methods in Applied Mechanics and Engineering, AIAA Journal, Applied Numerical Mathematics, Journal of Journal of Heat Transfer, Journal of Applied Mathematics and Physics, Advances in Water Resources, Society of automotive engineers International, Communications in Computational Physics, Fluid Dynamics Research, International Journal for Uncertainty Quantification

52. Organizer of the Frontier in Uncertainty Quantification Seminar Series at PNNL, 2010-2011 and invited Professor Yannis Kevrekidis (Princeton), Nicholas Zabaras (Cornell), Roger Ghanem (USC), Dion Vlachos (Univ. of Delaware), Randall J. Leveque (Univ. of Washington).

53. Help to establish a PNNL/University of Washington joint Research Center for Modeling and Data-Intensive Computing

54. Participate in PNNL/University of Utah joint Center for Extreme Data Management Analysis and Visualization

55. Serving as a thesis reader for Ph.D. candidate Qianli Su from University of Washington Electric Engineering Department, June 2010.

56. Building an Uncertainty Quantification Team and Research Center at PNNL, 2007-2014