Suraj Panicker
About me
I am from Mumbai, India. I did my undergraduate studies in Bachelor of Engineering (Mechanical) from University of Mumbai before moving to United States for higher studies. Graduated from Oregon State University with Master of Science (M.S.) focused in Industrial Engineering in 2018. I started my PhD. journey at Tampere University in 2018. I work on robotic welding and metal additive manufacturing technologies. Currently, a Post-doctoral fellow at Tampere University in field of Mechanical and Manufacturing Engineering.
Research unit
Research fields
Research focus on unit manufacturing process models, cost models for manufacturing, and sustainability assessment. Exploring directions in Direct Energy Deposition (Wire Arc Additive Manufacturing) alongside other Additive Manufacturing technologies and use of machine learning in manufacturing.
Latest publications
Design-centred physics-informed modelling: integrating functions, variables, behavioural law discovery, and contradiction resolution
Dhalpe, A., David, J., Panicker, S., Wu, D., Mokhtarian, H., Lastra, J. M. & Coatanéa, E., Nov 2025, In: Advanced Engineering Informatics. 68, 103791.Research output: Contribution to journal › Article › Scientific › peer-review
Integrating dimensional and scaling analyses with functional modelling and graphs: An approach to comprehend mass transfer in welding
Dhalpe, A., Mokhtarian, H., Panicker, S., Wu, D., David, J., Bakrani Balani, S., Martinez Lastra, J. & Coatanéa, E., May 2025, In: International Journal of Advanced Manufacturing Technology. 138, 1, p. 61-79 19 p.Research output: Contribution to journal › Article › Scientific › peer-review
S0410 Tools for adaptive and intelligent control of discrete manufacturing processes TANDEM - Final Project Report
Sirén, M. (Editor), Nilsen, M. (Editor), Yoo, Y. (Editor), Wang, G. (Editor), Coatanea, E., Flores Ituarte, I., Wiikinkoski, O., David, J., Martikkala, A., Panicker, S., Wu, D. & Asadi, R., 2025, TANDEM project. 79 p.Research output: Book/Report › Commissioned report
A prospective analysis of the engineering design discipline evolution based on key influencing trends
Coatanea, E., Nagarajan, H., Panicker, S. & Mokhtarian, H., 13 Oct 2023, In: Journal of Integrated Design and Process Science. 26, 3-4, p. 247-266 20 p.Research output: Contribution to journal › Article › Scientific › peer-review
Assessing the Effect of Infill Strategies on Hardness Properties of Cuboidal Parts Printed with Wire and Arc Additive Manufacturing
Kuosmanen, J., Azadikhah, A., Panicker, S., Mokhtarian, H., Wu, D., Dhalpe, A., Queguineur, A. & Coatanéa, E., 2023, Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023. Borgianni, Y., Matt, D. T., Molinaro, M. & Orzes, G. (eds.). Springer, p. 133-144 12 p. (Lecture Notes in Networks and Systems; vol. 745 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Defining and Modeling of Height-Related Geometrical Parameters for Thin Wall Structures Manufactured by Metal Additive Manufacturing
Dehaghani, M. R., Tang, Y., Panicker, S., Wu, D., Coatanea, E. & Wang, G. G., 2023, 43rd Computers and Information in Engineering Conference (CIE). American Society of Mechanical Engineers, v002t02a082. (Proceedings of the ASME Design Engineering Technical Conference; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Graph models for engineering design: Model encoding, and fidelity evaluation based on dataset and other sources of knowledge
Coatanéa, E., Nagarajan, H., Mokhtarian, H., Wu, D., Panicker, S., Morales-Forero, A. & Bassetto, S., 20 Feb 2023, In: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM. 37, 23 p., e6.Research output: Contribution to journal › Article › Scientific › peer-review
Knowledge-based Modelling of Additive Manufacturing for Sustainability Performance Analysis and Decision Making
Panicker, S., 2023, Tampere: Tampere University. (Tampere University Dissertations - Tampereen yliopiston väitöskirjat; vol. 745)Research output: Book/Report › Doctoral thesis › Collection of Articles
Layer-to-Layer Thermal History Prediction for Thin Walls in Metal Additive Manufacturing
Tang, Y., Bakrani Balani, S., Dhalpe, A., Rahmani Dehaghani, M., Panicker, S., Coatanea, E., Wu, D. & Wang, G. G., 21 Nov 2023, 43rd Computers and Information in Engineering Conference (CIE). American Society of Mechanical Engineers, Vol. 2. 10 p. V002T02A076Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Modeling and optimization of height-related geometrical parameters for thin wall structures manufactured by metal additive manufacturing
Dehaghani, M. R., Tang, Y., Panicker, S., Wu, D., Coatanea, E. & Wang, G. G., 2023, In: International Journal of Advanced Manufacturing Technology. 129, 9-10, p. 4663–4675 13 p.Research output: Contribution to journal › Article › Scientific › peer-review