PUBLICATIONS
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Sideris, D., Dasygenis M., Papagiannakis, G., Protopsaltis, A.. 2024, October.
Egocentric skilled human activity psychomotor training: A case study involving mechanical simulated part-based process. In AIP Conference Proceedings (Vol. 3220, 030030). AIP Publishing.
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Kokiadis, G., Protopsaltis, A., Morfiadakis, M., Lydatakis, N., Papagiannakis, G. 2024. Decoupled Edge Physics algorithms for collaborative XR simulations. arXiv:2407.12486 To appear in Computer Animations and Virtual Worlds.
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Papagiannakis, G., Greenleaf, W., Cole, M., Zhang, M., Datta, R., Delahaye, M., Grigoriou, E., Kamarianakis, M., Protopsaltis, A., Bijlenga, P., Magnenat Thalmann N., Tsiridis, E., Kenanidis, E., Vamvakidis, K., Koutelidakis, I., Kannape, O. 2024. A computational medical XR discipline. To appear in CGI-2024
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Apostolakis, K.C., Valera-Muros, B., Di Pietro, N., Garrido, P., Del Teso, D., Kamarianakis, M., Tomás, P.R., Khalili, H., Panizo, L., Zayas, A.D. and Protopsaltis, A., 2024. A Network Application approach towards 5G and beyond critical communications use cases. Frontiers in Communications and Networks, 5, p.1286660.
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Vlahakis, V., Protopsaltis, A. and Sarigiannidis, P., 2023, November. Smart city traffic monitoring using digital twin technology. In AIP Conference Proceedings (Vol. 2909, No. 1). AIP Publishing.
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Papagiannakis, G., Kamarianakis, M., Protopsaltis, A., Angelis, D. and Zikas, P., 2023. Project Elements: A computational entity-component-system in a scene-graph pythonic framework, for a neural, geometric computer graphics curriculum. Eurographics 2023 - Education Papers, The Eurographics Association, https://doi.org/10.2312/eged.20231015
- Zikas, P., Protopsaltis, A., Lydatakis, N., Kentros, M., Geronikolakis, S., Kateros, S., Kamarianakis, M., Evangelou, G., Filippidis, A., Grigoriou, E., Angelis, D. and Tamiolakis, M., 2023. MAGES 4.0: Accelerating the World’s Transition to VR Training and Democratizing the Authoring of the Medical Metaverse, in IEEE Computer Graphics and Applications, vol. 43, no. 2, pp. 43-56, 1 March-April 2023, doi: 10.1109/MCG.2023.3242686.
- Kamarianakis, M., Protopsaltis, A., Angelis, D., Tamiolakis, M., Papagiannakis, G., 2022. Progressive tearing and cutting of soft-bodies in high-performance virtual reality, in: Uchiyama, H., Normand, J.-M. (Eds.), ICAT-EGVE 2022 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments. The Eurographics Association. https://doi.org/10.2312/egve.20221275
- Taleb, T., Boudi, A., Rosa, L., Cordeiro, L., Theodoropoulos, T., Tserpes, K., Dazzi, P., Protopsaltis, A. and Li, R., 2022. Towards supporting XR services: Architecture and enablers. IEEE Internet of Things Journal.
- Theodoropoulos, T., Makris, A., Boudi, A., Taleb, T., Herzog, U., Rosa, L., Cordeiro, L., Tserpes, K., Spatafora, E., Romussi, A., Zschau, E., Kamarianakis, M., Protopsaltis, A., Papagiannakis, G. and Dazzi P., 2022. Cloud-based XR services: A survey on relevant challenges and enabling technologies. Journal of Networking and Network Applications, 2(1), pp.1-22.
- Makris, A., Boudi, A., Coppola, M., Cordeiro, L., Corsini, M., Dazzi, P., Andilla, F.D., Rozas, Y.G., Kamarianakis, M., Pateraki, M., Le Pham, T., Protopsaltis, A., Raman, A., Romussi, A. Rosa L., Spatafora, E., Taleb, T., Theodoropoulos, T., Tserpes, K., Zschau, E., Herzog, U., 2021, November. Cloud for holography and augmented reality. In 2021 IEEE 10th International Conference on Cloud Networking (CloudNet) (pp. 118-126). IEEE.
- Protopsaltis, A., Sarigiannidis, P., Margounakis, D., & Lytos, A. (2020, August). Data visualization in internet of things: tools, methodologies, and challenges. In Proceedings of the 15th International Conference on Availability, Reliability and Security (pp. 1-11).
- Protopsaltis, A. I., & Fudos, I. (2010). A feature-based approach to re-engineering CAD models from cross sections. Computer-Aided Design and Applications, 7(5), 739-757.
- Protopsaltou, A., & Fudos, I. (2009). Creating Editable 3D CAD Models from Point cloud slices. GraVisMa 2009, 73, 26.
BOOK CHAPTERS
- Makris A., Psomakelis E., Korontanis I., Theodoropoulos T., Protopsaltis A. , Pateraki M., Ledwoń Z., Diou C., Anagnostopoulos D., & Tserpes K. (2023). Streamlining XR Application Deployment with a Localized Docker Registry at the Edge. In: Papadopoulos, G.A., Rademacher, F., Soldani, J. (eds) Service-Oriented and Cloud Computing. ESOCC 2023. Lecture Notes in Computer Science, vol 14183. Springer, Cham. https://doi.org/10.1007/978-3-031-46235-1_12
- Protopsaltis A., Papagiannakis G. (2022) Virtual Reality: A Model for Understanding Immersive Computing. In: Lee N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_165-1
- Protopsaltis A., Papagiannakis G. (2022) Virtual Reality Systems, Tools, and Frameworks. In: Lee N. (eds) Encyclopedia of Computer Graphics and Games. Springer, Cham. https://doi.org/10.1007/978-3-319-08234-9_102-1
MAGAZINE ARTICLES
- Kamarianakis M., Pateraki M., Protopsaltis A. (2022). 5G-enabled XR medical training 4.0: Using XR to effectively educate healthcare personnel., Eurescom Message
TECHNICAL REPORTS
- Kamarianakis, M., Protopsaltis, A., Angelis, D., Zikas, P., Kentros, M. and Papagiannakis, G., 2023. UniSG^ GA: A 3D scenegraph powered by Geometric Algebra unifying geometry, behavior and GNNs towards generative AI. arXiv preprint arXiv:2306.10621.
- Paul Zikas, Mike Kentros, Dimitris Angelis, Antonis Protopsaltis, Manos Kamarianakis, George Papagiannakis. (2023) UniSG: Unifying entity-component-systems, 3D & learning scenegraphs with GNNs for generative AI. Authorea. May 01, 2023. DOI: 10.22541/au.168295736.63550013/v1
- Manos Kamarianakis, Antonis Protopsaltis, George Papagiannakis (2022). AR-Assisted Surgical Care via 5G networks for First Aid Responders. arXiv preprint arXiv:2303.00458, https://doi.org/10.48550/arXiv.2303.00458
- Manos Kamarianakis, Antonis Protopsaltis, Michail Tamiolakis, George Papagiannakis, (2022). Realistic soft-body tearing under 10ms in VR. arXiv preprint arXiv:2205.00914
- Ilias Chrysovergis, Manos Kamarianakis, Mike Kentros, Dimitris Angelis, Antonis Protopsaltis, George Papagiannakis, (2022). Assessing unconstrained surgical cuttings in VR using CNNs. arXiv preprint arXiv:2205.00934
- Manos Kamarianakis, Nick Lydatakis, Antonis Protopsaltis, John Petropoulos, Michail Tamiolakis, Paul Zikas, George Papagiannakis, (2021). "Deep Cut": An all-in-one Geometric Algorithm for Unconstrained Cut, Tear and Drill of Soft-bodies in Mobile VR, arXiv preprint arXiv:2108.05281.
- Fudos, I., Stamati, V., & Protopsaltou, A. (2004). An Approach to Geometric Constraint Solving for CAD Representations., Department of Computer Science, University of Ioannina, Greece.
- Alagar, V. S., Colagrosso, P., Loukas, A., Narayanan, S., & Protopsaltou, A. (1996). Formal specifications for effective black-box reuse. Technical Reports (2 volumes), Department of Computer Science, Concordia University, Montreal, Canada.