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Krishnan Suresh

Krishnan Suresh

Mead Witter Foundation Professor
gscholar website
lab website

Prof. Suresh’s primary research interests are in topology optimization, design for additive manufacturing, computational mechanics, and high-performance computing. He is the director of Engineering Representations and Simulation Laboratory (ERSL) and co-director of the Wisconsin Applied Computing Center ERSL’s research is supported by NSF, DOE, Sandia National Labs, Autodesk, and Air Force Research Lab. Prof. Suresh is a member of “Sigma Xi: The Scientific Research Society” and “The American Society of Mechanical Engineers”.

Department

Mechanical Engineering

Contact

2059, Mechanical Engineering Bldg
1513 University Ave
Madison, WI
p: (608) 262-3594

Featured news

A game-changing solution to a knotty problem in computational engineering

May 1, 2024

Professor Krishnan Suresh, Mechanical Engineering, University of Wisconsin-Madison

  • PhD 1998, Cornell University
  • MS 1995, Cornell University
  • MS 1992, Univ. of California-Los Angeles
  • B.Tech 1990, Indian Institute of Technology, Madras

  • Topology Optimization
  • Design for Additive Manufacturing
  • Computational Mechanics
  • High-Peformance Computing
  • Advanced Finite Element Analysis
  • Finite Element Mesh Generation

  • 2023 University of Wisconsin-Madison, Vilas Associate
  • 2022 College of Engineering, University of Wisconsin-Madison, Mead Witter Foundation Professorship
  • 2018 College of Engineering, University of Wisconsin-Madison, James G. Woodburn Award for Excellence in Undergraduate Teaching
  • 2017 College of Engineering, University of Wisconsin-Madison, Philip and Jean Myers Chaired Professorship
  • 2017 ASME CIE , ASME CIE Distinguished Service Award
  • 2017 ASME, Elected, ASME Fellow
  • 2015 College of Engineering, University of Wisconsin-Madison, LEED Scholar Engineering Professor (Teaching Award)
  • 2014 ASME IDETC/CIE, ASME Innovative Design & Simulation Challenge Award (Faculty advisor)
  • 2013 Wright Patterson Air Force, Subject Matter Expert Award
  • 2012 Pi-Tau-Sigma , Pi-Tau-Sigma Teaching Excellence Award Runner-up
  • 2012 University Housing, University of Wisconsin-Madison, University Housing Honorary Lecturer Award
  • 2009 ASME IDETC/CIE Conference, ASME, Best paper award
  • 2008 National Science Foundation, NSF CAREER Award
  • 2006 ASME IDETC/CIE Conference, ASME , Best paper award
  • 1999 Kulicke and Soffa, "On-the-spot Award for Technical Achievement" Award
  • 1998 Cornell University, Invited to lead Ph.D. commencement
  • 1992 Cornell University, Ralph Bolgiano Best Teaching Assistant Award

  • Yepes Llorente, L., Morlier, J., Sridhara, S., & Suresh, K. (2024). A hybrid machine learning and evolutionary approach to material selection and design optimization for eco-friendly structures. Structural and Multidisciplinary Optimization, 67(5), 69.
  • Prabhune, B., & Suresh, K. (2024). An isoparametric tangled finite element method for handling higher-order elements with negative Jacobian. Computational Mechanics, 73(1), 159--176.
  • Padhy, R. K., Chandrasekhar, A., & Suresh, K. (2024). Fluto: Graded multi-scale topology optimization of large contact area fluid-flow devices using neural networks. Engineering with Computers, 40(2), 971--987.
  • Prabhune, B., & Suresh, K. (2024). Free and forced vibration analysis over meshes with tangled (non-convex) elements. Computers & Structures, 293, 107256.
  • Suresh, S., & Suresh, K. (2024). Optimal Box Contraction for Solving Linear Systems via Simulated and Quantum Annealing. arXiv preprint arXiv:2405.03029.
  • Suresh, K., Padhy, R., & Chandrasekhar, A. (2024). VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks.
  • Padhy, R. K., Suresh, K., & Chandrasekhar, A. (2024). VoroTO: Multiscale Topology Optimization of Voronoi Structures using Surrogate Neural Networks. arXiv preprint arXiv:2404.18300.
  • Sridhara, S., & Suresh, K. (2023). A Visual Representation of Engineering Catalogs Using Variational Autoencoders. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (p. V03AT03A020).
  • Prabhune, B., & Suresh, K. (2023). A computationally efficient isoparametric tangled finite element method for handling inverted quadrilateral and hexahedral elements. Computer Methods in Applied Mechanics and Engineering, 405, 115897.
  • Suresh, S., & Suresh, K. (2023). Computing a Sparse Approximate Inverse on Quantum Annealing Machines. arXiv preprint arXiv:2310.02388.

  • E M A 890 - Pre-Dissertator Research (Spring 2025)
  • M E 331 - Computer-Aided Engineering (Spring 2025)
  • M E 748 - Optimum Design of Mechanical Elements and Systems (Spring 2025)
  • M E 790 - Master's Research and Thesis (Spring 2025)
  • M E 890 - PhD Research and Thesis (Spring 2025)
  • M E 990 - Dissertator Research and Thesis (Spring 2025)
  • E M A 890 - Pre-Dissertator Research (Fall 2024)
  • M E 548 - Introduction to Design Optimization (Fall 2024)
  • M E 790 - Master's Research and Thesis (Fall 2024)
  • M E 890 - PhD Research and Thesis (Fall 2024)
  • M E 990 - Dissertator Research and Thesis (Fall 2024)
  • M E 890 - PhD Research and Thesis (Summer 2024)
  • M E 990 - Dissertator Research and Thesis (Summer 2024)
  • E M A 599 - Independent Study (Spring 2024)
  • E M A 890 - Pre-Dissertator Research (Spring 2024)
  • M E 299 - Independent Study (Spring 2024)
  • M E 331 - Computer-Aided Engineering (Spring 2024)
  • M E 352 - Interdisciplinary Experiential Design Projects II (Spring 2024)
  • M E 790 - Master's Research and Thesis (Spring 2024)
  • M E 890 - PhD Research and Thesis (Spring 2024)
  • M E 990 - Dissertator Research and Thesis (Spring 2024)
  • E M A 890 - Pre-Dissertator Research (Fall 2023)
  • M E 351 - Interdisciplinary Experiential Design Projects I (Fall 2023)
  • M E 699 - Advanced Independent Study (Fall 2023)
  • M E 790 - Master's Research and Thesis (Fall 2023)
  • M E 890 - PhD Research and Thesis (Fall 2023)
  • M E 990 - Dissertator Research and Thesis (Fall 2023)
  • M E 699 - Advanced Independent Study (Summer 2023)
  • M E 890 - PhD Research and Thesis (Summer 2023)
  • M E 990 - Dissertator Research and Thesis (Summer 2023)