Tampere University Researchers
Eric Coatanea
- Professor
- Design & Manufacturing technologies
- Faculty of Engineering and Natural Sciences
- Tampere University
- +358503605273
- eric.coatanea@tuni.fi
-
Contact me by email.
- https://orcid.org/0000-0003-4157-7298
About me
I am Professor of Manufacturing Engineering and Systems Engineering. I am in charge of the Manufacturing research group. My interests include:
- Modeling and simulation of manufacturing systems,
- Early integration of manufacturing considerations in the system development process,
- Efficient dynamic control and development of additive manufacturing methods based on Directed Energy Deposition,
- Knowledge coding in form of causal graphs,
- Integration of existing knowledge and design of artificial neural networks topologies using causal graphs,
- Dimensional analysis theory and its combination with causal graphs,
- Causal graph networks for decision-making support,
- Multi-Disciplinary Optimization and creativity support for Engineering,
- Early design process, automatic extraction and analysis of requirements,
- Metrics for system design and manufacturing.
Field of expertise
I have skills in different domains: Manufacturing processes, Engineering design theory and practices, Systems Engineering, Mathematical methods for modeling simulation and Machine Learning. I published broadly in those fields during the past years.
Chevalier des Palmes Académiques (Nov. 2018)
Honor Issuer: French Republic to distinguish academics and figures in the world of culture and education.
Marie-Curie Individual Fellowship (2006-2008)
I am trying to develop tools base don graph approaches for supporting early design, modeling, simulation and decision making, in a context where quantitative data doesn't exist or is scarce.
Dr. Coatanéa is member of the ASME. He serves as associate editor, guest editor and reviewer for many international journals.
- Commitment in scientific institutions:
Co-editor of the Journal of Integrated Design & Process Science (Society for Design and Process Science)
Member of the NSERC (Natural Sciences and Engineering Research Council of Canada) expert selection committee for NSERC Canada Chairs in Design Engineering Selection Panel.
- Commitment in companies:
o Dynavio Cooperative Oy: co-founder and Head of the Board
o Selko Oy (selko.io), member of the board and advisor
My publications can be viewed following using Academia.edu, Research Gate or for some of them using my ORCID ID (see links below).
Kari Koskinen
- Professor
- Mechatronics
- Faculty of Engineering and Natural Sciences
- Tampere University
- +358400634242
- 0400634242
- kari.koskinen@tuni.fi
About me
I am working as professor in Mechanical Engineering and I am leading Mechatronics Research Group (MRG) in TAU. My mission is to conduct research in close cooperation with industry in the area of intelligent machines and systems. The objective is to create new knowledge in the area mechatronics which can be applied in real products and processes, but also published in high level scientific journals and conferences.
Field of expertise
My research interests are wide-ranging in the are of intelligent machines and systems. My research focus is in mechatronics - especially in design and analysis of complex machine systems my special expertise being in motion control, fluid power systems and high pressure water systems. I am also interested in industrial internet solutions in life-cycle management of intelligent machine and manufacturing systems.
Underwater robotics and systems is one of my group’s expertise area where we are focusing on research of mechanical designs, propulsion systems and control of different kind of robots.
We have a long history on research of aircraft systems - especially related on flight control and fuel systems. In addition we do research on system reliability analysis of aircraft systems.
System availability and preventive maintenance is also one of my group’s research focus areas. Our approach is based on knowledge based analytics which combines contextual technical expertise and tools with statistical methods in order to improve predictability of system behavior .
Research unit
https://research.tuni.fi/mrg/
Fellow, International Society of Engineering Asset Management (ISEAM)
Matine – The Scientific Advisory Board for Defence, member of Tampere sub-committee
Chair of WCEAM 2015 and SICFP’11–conferences
Network of Fluid Power Centres in Europe, executive secretary 1998-2013
Suraj Panicker
- Postdoctoral Research Fellow
- Faculty of Engineering and Natural Sciences
- Tampere University
- suraj.panicker@tuni.fi
-
Contact via email for consulting hours.
- https://orcid.org/0000-0003-0007-1813
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
Manufacturing and Systems Engineering
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.
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., Joe Samuel David, J., Bakrani Balani, S., Martinez Lastra, J. L. & Coatanea, E., 2024, (E-pub ahead of print) julkaisussa: International Journal of Advanced Manufacturing Technology.Tutkimustuotos: Artikkeli › Scientific › vertaisarvioitu
A prospective analysis of the engineering design discipline evolution based on key influencing trends
Coatanea, E., Nagarajan, H., Panicker, S. & Mokhtarian, H., 13 lokak. 2023, julkaisussa: Journal of Integrated Design and Process Science. 26, 3-4, s. 247-266 20 SivumääräTutkimustuotos: Artikkeli › Scientific › vertaisarvioitu
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. (toim.). Springer, s. 133-144 12 Sivumäärä (Lecture Notes in Networks and Systems; Vuosikerta 745 LNNS).Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu
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; Vuosikerta 2).Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu
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 helmik. 2023, julkaisussa: Artificial Intelligence for Engineering Design, Analysis and Manufacturing: AIEDAM. 37, 23 Sivumäärä, e6.Tutkimustuotos: Artikkeli › Scientific › vertaisarvioitu
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; Vuosikerta 745)Tutkimustuotos: Väitöskirja › 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 marrask. 2023, 43rd Computers and Information in Engineering Conference (CIE). American Society of Mechanical Engineers, Vuosikerta 2. 10 Sivumäärä V002T02A076Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu
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, julkaisussa: International Journal of Advanced Manufacturing Technology. 129, 9-10, s. 4663–4675 13 SivumääräTutkimustuotos: Artikkeli › Scientific › vertaisarvioitu
Online thermal field prediction for metal additive manufacturing of thin walls
Tang, Y., Rahmani Dehaghani, M., Sajadi, P., Balani, S. B., Dhalpe, A., Panicker, S., Wu, D., Coatanea, E. & Wang, G. G., 22 jouluk. 2023, julkaisussa: Journal of Manufacturing Processes. 108, s. 529-550 22 SivumääräTutkimustuotos: Artikkeli › Scientific › vertaisarvioitu
Optimisation-driven design to explore and exploit the process–structure–property–performance linkages in digital manufacturing
Flores Ituarte, I., Panicker, S., Nagarajan, H. P. N., Coatanea, E. & Rosen, D. W., 2023, julkaisussa: Journal of Intelligent Manufacturing. 34, 1, s. 219-241 23 SivumääräTutkimustuotos: Artikkeli › Scientific › vertaisarvioitu
Mika Lyly
- Postdoctoral Researcher
- Faculty of Information Technology and Communication Sciences |Electrical Engineering
- Tampere University
- mika.lyly@tuni.fi
Tiina Salmi
- Academy Research Fellow
- Principal Investigator in SMARAGDI
- Faculty of Information Technology and Communication Sciences |Electrical Engineering
- Tampere University
- tiina.salmi@tuni.fi