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Chiradeep Sen

Associate Professor | Mechanical and Civil Engineering

| Mechanical and Civil Engineering

Contact Information

csen@fit.edu
(321) 674-8781
F. W. Olin Engineering Complex, Room 215

Personal Overview

Dr. Chiradeep Sen is an Associate Professor of Mechanical Engineering and has been at Florida Tech since 2014. His research interests are design theory and methodology, formal linguistics and reasoning in design, function-based design, and design & manufacturing automation.  His research has been funded by the National Science Foundation, General Motors Company, United States Council for Automotive Research (USCAR), and the Kern Family Foundation. 

Dr. Sen received his M.S. and Ph.D. from Clemson University’s CEDAR lab and was a post-doctoral scholar at the Design Engineering Lab at Oregon State University.  His doctoral research on formal linguistics and reasoning in function-based design won the ASME Best Dissertation Award. 

Dr. Sen has fourteen years of industry experience in design, manufacturing, and design automation in heavy engineering, automobiles, manufacturing tooling, and consumer products.

Educational Background

Ph.D., Mechanical Engineering, Clemson University, 2011

M.S., Mechanical Engineering, Clemson University, 2009

B.S., Mechanical Engineering, Jadavpur University, India, 1995

Professional Experience

Academic

Associate Professor, Florida Institute of Technology (2020 - present) 

Assistant Professor, Florida Institute of Technology (2014 – 2020)

Courtesy Faculty, Oregon State University (2012 – 2015)

Post-Doctoral Scholar, Oregon State University (2011 – 2012)

Graduate Research Assistant and Endowed Teaching Fellow, Clemson University (2007 - 2011)

 

Industry

Senior Engineer, Dresser-Rand Company, NY (2012 - 2014)

Project Leader, Tata Consultancy Services Limited, India (2000 - 2006)

Mechanical Engineer, Philips India Limited (1996 - 2000)

Mechanical Engineer, Essar Oil Limited, India (1995)

Current Courses

Graduate Courses

MEE 5551 Advanced Design Theory and Methods

MEE 5553 Advanced CAD & Design Automation

MEE 5554 Design Informatics

 

Undergraduate Courses

MEE 1024 Introduction to Mechanical Engineering

MEE 3090 Design of Machine Elements

MEE 3091 Theory of Machines

MEE 4554 Design Informatics

Selected Publications

Peer-reviewed Journal Articles

J18. Chowdhury, A., Athinarayana Venkatanarasimhan, L. N., and Sen, C. (2021). "Finite State Automata-Based Representation of Device States for Function Modeling of Multi-Modal Devices." ASME. J. Comput. Inf. Sci. Eng. doi: https://doi.org/10.1115/1.4051159.


J17. Chowdhury, A., Venkatanarasimhan, L. N. A., and Sen, C., (2020), “A Formal Representation of Conjugate Verbs for Function Modeling”, ASME Journal of Computers and Information Science in Engineering (JCISE), 21 (5), pp. 1-34. Paper No. JCISE-20-1273. doi: https://doi.org/10.1115/1.4050077.


J16. Mao, X., Galil, O., Parrish, Q., and Sen, C., (2020), “Evidence of Cognitive Chunking in Freehand Sketching during Design Ideation”, Design Studies, 67 (1), pp. 1-26, doi: https://doi.org/10.1016/j.destud.2019.11.009.


J15. Mao, X. and Sen, C., “Physics-Based Semantic Reasoning for Functional Decomposition and Generating Design Alternatives”, (2019), ASME Journal of Computers and Information Science in Engineering (JCISE), 20 (4), pp. 041006, doi: https://doi.org/10.1115/1.4045288.


J14. Gill, A.S., Summers, J.D., and Sen, C., (2019), “Impact of Chaining Methods and Level of Completion on the Accuracy of Function Structure-Based Market Price Prediction Models”, ASME Journal of Computers and Information Science in Engineering (JCISE), 19 (4), pp. 041018-1 - 041018-10, doi: https://doi.org/10.1115/1.4043210.


J13. Bohm, M., Eckert, C., Sen, C., Srinivasan, V., Summers, J.D., and Vermaas, P., (2018), “Thoughts on Benchmarking of Function Modeling: Why and How”, Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, AI EDAM, 31 (4), pp. 393-400, doi: https://doi.org/10.1017/S0890060417000531.


J12. Arlitt, R., Nix, A., Sen, C., and Stone, R., (2016), “Discovery of Mental Metadata used for Analogy Formation in Function-Based Design”, ASME Journal of Mechanical Design, 138 (10), 101110, Paper No: MD-16-1107; doi: https://doi.org/10.1115/1.4034090.


J11. Sen, C., Summers, J.D., and Mocko, G.M., (2013), “Physics-Based Reasoning in Conceptual Design using a Formal Representation of Function Structure Graphs”, Journal of Computing and Information Science in Engineering, JCISE, 13 (1), 011008, doi: https://doi.org/10.1115/1.4023004.


J10. Sen, C., Summers, J.D., and Mocko, G.M., (2013), “A Formal Representation of Function Structure Graphs for Physics-Based Reasoning”, Journal of Computing and Information Science in Engineering, JCISE, 13 (2), 021001, doi: https://doi.org/10.1115/1.4023167.


J9. Sen, C., Summers, J.D., (2013), “Identifying Requirements for Physics-Based Reasoning on Function Structure Graphs”, Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, AI EDAM, 27(3), pp. 219-299, doi: https://doi.org/10.1017/S0890060413000292.


J8. Caldwell, B., Richardson, J., Namouz, E., Rotenburg, T., Sen, C., Mocko, G., and Summers, J.D., (2013), “Automotive Lightweight Engineering: A Method for Identifying Lazy Parts”, International Journal of Vehicle Design, 63(4), pp. 364-386.


J7. Caldwell, B.W., Thomas, J.E., Sen, C., Mocko, G.M., and Summers, J.D., (2012), “The Effects of Language and Pruning on Function Structure Interpretability”, ASME Journal of Mechanical Design, 134 (6), 061001-1 - 061001-11.


J6. Sen, C., Summers, J.D., and Mocko, G.M., (2011), “A Protocol to Formalize Function Verbs to Support Conservation-Based Model Checking”, Journal of Engineering Design, 22 (11/12), 765-788.


J5. Caldwell, B.W., Sen, C., Summers, J.D., and Mocko, G.M, (2011), “An Empirical Study of the Expressiveness of the Functional Basis”, Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, AI EDAM, 25 (3), 273-87.


J4. Sen, C., Ameri, F., and Summers, J.D., (2010), “An Entropic Method for Sequencing Discrete Design Decisions”, ASME Journal of Mechanical Design, 132(10), 101004-1 – 101004-11.


J3. Sen, C., Summers, J.D., and Mocko, G.M., (2010), “Topological Information Content and Expressiveness of Function Models in Mechanical Design”, ASME Journal of Computing and Information Science in Engineering, JCISE, 10(3), 031003-1 – 031003-11.


J2. Sen, C., Caldwell, B.W., Summers, J.D., and Mocko, G.M., (2010), “Evaluation of the Functional Basis using an Information Theoretic Approach”, Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, 24(1), 87-105.


J1. Chavali, S.R., Sen, C., Mocko, G.M., and Summers, J.D., (2008), “Using Rule Based Design in Engineer to Order Industry: An SME Case Study”, Computer-Aided Design & Applications, 5(1-4), 178-193.

 

 

Theses and Dissertations

Sen, C., (2011), "A Formal Representation of Mechanical Functions to Support Physics-Based Computational Reasoning in Early Mechanical Design", Doctoral Dissertation, Clemson University, Clemson, South Carolina, USA. 

Sen, C., (2009), "A Study in the Information Content, Consistency, and Expressive Power of Function Structures in Mechanical Design", Masters' Thesis, Clemson University, Clemson, South Carolina, USA.

 

 

 

Recognition & Awards

2020:

ASME CIE Division, CAPPD Technical Committee Leadership Award

2017:

FIT ASME Chapter’s Top Educator Award

2016:

FIT ASME Chapter’s Most Supportive Professor Award

2013:

ASME/CIE Best Dissertation Award (national-level award)

2010:

Endowed Teaching Fellowship Award, Clemson University

2010:

ASME Graduate Research Poster Travel Award

2009:

ASME Graduate Research Poster Travel Award

2008:

ASME Graduate Research Poster Travel Award

2008:

NSF/ASME Design Essay Award

2007:

NSF/ASME Design Essay Award

Research

Dr. Sen directs the Research in Information Science for Engineering Lab (RiSE Lab).  His research is in the broad area of design and manufacturing.  Please visit the link below to learn more about his research projects, publications, and the people of the research group. 

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