Publications 2024-11-08T07:14:39+00:00

Publications

Journals

2024

  • V. Manasa Devagiri, V. Boeva, S. Abghari. A Domain Adaptation Technique through Cluster Boundary Integration. Evolving Systems, Springer, accepted.
  • Jonne van Dreven, Veselka Boeva, Shahrooz Abghari, Håkan Grahn, Jad Al Koussa, A systematic approach for data generation for intelligent fault detection and diagnosis in District Heating, Energy, Volume 307, 2024, 132711, ISSN 0360-5442, https://doi.org/10.1016/j.energy.2024.132711.
  • Å. Bejdevi, V. M. Devagiri, and Å. Nygren “Virtual Reality in Online Instruction: A Pilot Study on Learning Experiences”, Journal of Teaching and Learning in Higher Education. https://doi.org/10.24834/jotl.5.1.1141
  • P. Goswami, “Snow and Ice Animation Methods in Computer Graphics,” To Appear, Computer Graphics Forum, State-of-the-art Report, Eurographics. 2024.

2023

  • M. Elwardy, H.-J. Zepernick, T. M. C. Chu, and Y. Hu, “On the Consistency of 360 Video Quality Assessment in Repeated Subjective Tests: A Pilot Study,” Transactions on Industrial Networks and Intelligent Systems, vol. 11, no. 1, pp. 1-22, Jan. 2024.
  • V. Kelkkanen, D. Lindero, M. Fiedler, and H.-J. Zepernick, “Hand-Controller Latency and Aiming Accuracy in 6-DOF VR,” Advances in Human-Computer Interaction, Sep. 2023, accepted.
  • van Dreven J, Boeva V, Abghari S, Grahn H, Al Koussa J, Motoasca E. Intelligent Approaches to Fault Detection and Diagnosis in District Heating: Current Trends, Challenges, and Opportunities. Electronics. 2023; 12(6):1448. https://doi.org/10.3390/electronics12061448

Conference Papers/Workshops 

2024

  • V. Boeva, S. Abghari, V.M. Devagiri, J. Brage. Multi-layered Clustering for Context-aware Monitoring of District Heating Network. 10th Special Session on Intelligent Data Mining, IEEE BigData 2024 (15-18 December 2024, Washington, USA).
  • F. Fingerhut, E. Tsiporkova, V. Boeva. Interpretable Data-Driven Risk Assessment in Support of Predictive Maintenance of a Large Portfolio of Industrial Vehicles. 8th International Workshop on Applications of Big Data Methods and Technology in the Transport Industry, IEEE BigData 2024 (15-18 December 2024, Washington, USA).
  • Venkata Satya Sai Ajay Daliparthi, Kurt Tutschku, Nurul Momen, Miguel De Prado, Margaux Divernois, Nuria Pazos Escudero, Jean-Marc Bonnefous: ”A License Management System for Collaborative AI Engineering”, Accepted, In Proc. of 7th Artificial Intelligence and Cloud Computing Conference  (AICCC 2024), December 14-16, 2024, Tokyo, Japan.
  • E. Casalicchio and D. Magliarisi, Decentralized Task Scheduling in Satellite Edge Computing, the 9th IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2024), 2-5 September, Malmö, Sweden. Accepted.
  • Y. Hu, K. Tutschku, V. Boeva, P. Goswami, S. Abghari, V. Sundstedt, Towards an Ethical and Data Privacy Metrology for AI-Enriched Human-Centered XR Systems, IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering – IEEE MetroXRAINE 2024, 21-23 October, St Albans, London, UK. [PAPER]
  • Y. Hu, V. Sundstedt, J. Berner, I. Perlesi, Applying virtual reality in older adult healthcare education – A case study, The 18th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), 17-18 September, Heraklion, Greece, 2024. Accepted.
  • T. Kasthuriarachchige, S. Ickin, S. Abghari, V. Boeva. Clients Behavior Monitoring in Federated Learning via Eccentricity Analysis. IEEE International Conference on Evolving and Adaptive Intelligent Systems, IEEE EAIS 2024 (23–24 May 2024, Madrid, Spain).
  • M. Angelova, V. Boeva, S. Abghari. EdgeCluster: A Resource-Aware Evolving Clustering for Streaming Data. IEEE International Conference on Evolving and Adaptive Intelligent Systems, IEEE EAIS 2024 (23–24 May 2024, Madrid, Spain). 
  • T. M. C. Chu and H.-J. Zepernick, “Queueing Theoretical Performance Assessment of Mobile Virtual Reality Video Streaming,” IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Perth, Australia, June 2024, accepted.
  • Y. Hu, V. Sundstedt, P. Goswami, A Research Methodology Course in a Game Development Curriculum, Eurographics 2024 – Education Papers, 2024. https://doi.org/10.2312/eged.20241006
  • V. Manasa Devagiri, Pierre Dagnely, V. Boeva, E. Tsiporkova. Putting Sense into Multi-source Heterogeneous Data with Hypergraph Clustering Analysis. Symposium on Intelligent Data Analysis (IDA 2024) (Stockholm, 24-26 April 2024).
  • Y. Fu, Y. Hu, and V. Sundstedt. 2024. A Pilot Study of User Preferences of Posture and Display Technologies in Virtual Reality Exercise Games. In Proceedings of the 2024 8th International Conference on Virtual and Augmented Reality Simulations (ICVARS ’24). Association for Computing Machinery, New York, NY, USA, 22–27. https://doi.org/10.1145/3657547.3657562

2023

  • E. Tsiporkova, M. Devis, S. Klein, A. Hristoskova, V. Boeva. Mitigating Concept Drift in Distributed Contexts with Dynamic Repository of Federated Models. 8th Workshop on Real-time Stream Analytics, Stream Mining, CER/CEP & Stream Data Management in Big Data, IEEE BigData 2023 (15-18 December 2023, Sorrento, Italy), accepted.
  • Hu, Y., Goswami, P., & Sundstedt, V. (2023). A Review on XR in Home-based Nursing Education. HEALTHINFO 2023 : The Eighth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, 39–43. https://urn.kb.se/resolve?urn=urn:nbn:se:bth-25602
  • V. Satya Sai Ajay Daliparthi, N. Momen, K. Tutschku, and M. De Prado. 2023. ViSDM 1.0: Vision Sovereignty Data Marketplace a Decentralized Platform for Crowdsourcing Data Collection and Trading. In Proceedings of the 2023 ACM Conference on Information Technology for Social Good (GoodIT ’23). Association for Computing Machinery, New York, NY, USA, 374–383. https://doi.org/10.1145/3582515.3609556
  • M. Elwardy, H.-J. Zepernick, Y. Hu, T.M.C. Chu, “ACR360: A Dataset on Subjective 360o Video Quality Assessment for ACR Methods,” IEEE International Conference on Signal Processing and Communication Systems (ICSPCS), Bydgoszcz, Poland, September 2023, accepted.
  • T.M.C. Chu, M. Fiedler, V. Kelkkanen, D. Lindero, H.-J. Zepernick, “On the Perception of Frame Stalls in Remote VR for Task and Task-Free Subjective Tests,” International Conference on Quality of Multimedia Experience (QoMEX), Ghent, Belgium, June 2023, accepted.
  • V. Sundstedt, V. Boeva, H. Zepernick, P. Goswami, A. Cheddad, K. Tutschku, H. Grahn, E. Casalicchio, M. Fiedler, E. Mendes, S. Abghari, Y. Hu, V. Garro, T. Chinh Chu, L. Lundberg, and P. Arlos, HINTS: Human-Centered Intelligent Realities, SAIS 2023. https://www.bth.se/forskning/forskningsomraden/datavetenskap/sais-23/
  • Al-Saedi, A.A., Boeva, V. (2023). Group-Personalized Federated Learning for Human Activity Recognition Through Cluster Eccentricity Analysis. In: Iliadis, L., Maglogiannis, I., Alonso, S., Jayne, C., Pimenidis, E. (eds) Engineering Applications of Neural Networks. EANN 2023. Communications in Computer and Information Science, vol 1826. Springer, Cham. https://doi.org/10.1007/978-3-031-34204-2_41
  • Nordahl, C., Boeva, V., & Grahn, H. (2023). MultiStream EvolveCluster. Proceedings of the Canadian Conference on Artificial Intelligence. https://doi.org/10.21428/594757db.b22e0e9a

Books/Book Chapters

2023

  • Navarro, D., Garro, V., Sundstedt, V. (2023). The Electrodermal Activity of Player Experience in Virtual Reality Games: An Extended Evaluation of the Phasic Component. In: de Sousa, A.A., et al. Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2022. Communications in Computer and Information Science, vol 1815. Springer, Cham. https://doi.org/10.1007/978-3-031-45725-8_10
  • Jagtap, S., Goswami, P. (2023). Design of Artificial Intelligence-Based Products: Barriers and Enablers. In: Chakrabarti, A., Singh, V. (eds) Design in the Era of Industry 4.0, Volume 3. ICORD 2023. Smart Innovation, Systems and Technologies, vol 346. Springer, Singapore.
  • Y. Fu, Y. Hu, V. Sundstedt, and Y. Forsell, “A Systematic Literature Review of Extended Reality Exercise Games for the Elderly”, Springer Book of HEALTHINF 2022 (book chapter, to appear 2023).
  • Larry Horner, Kurt Tutschku, Andrea Fumagalli, and Priya Ramanathan, “Virtualizing 5G and Beyond 5G Mobile Networks,” Artech House, ISBN-13 (print book): 978-1-63081-930-9, ISBN-13 (e-book): 978-1-63081-931-6, 2023. 

Licentiate/PhD Theses

2024

  • V. M. Devagiri, ‘Mining Evolving and Heterogeneous Data: Cluster-based Analysis Techniques’, PhD dissertation, Blekinge Tekniska  Högskola, Karlskrona, 2024. https://bth.diva-portal.org/smash/record.jsf?pid=diva2%3A1850201&dswid=2246, co-financed partly by the Knowledge Foundation under the BigData, “Scalable resource-efficient systems for big data analytics” (grant: 20140032), “Distributed and Adaptive Edge-based AI Models for Sensor Networks”, Sony Research Award Program 2020 Project, and HINTS, “Human-Centered Intelligent Realities” (grant: 20220068).
  • A. Al-Saedi, ‘Resource-Aware and Personalized Federated Learning via Clustering Analysis’, PhD dissertation, Blekinge Tekniska  Högskola, Karlskrona, 2024. https://urn.kb.se/resolve?urn=urn:nbn:se:bth-26081, the author is supported by the Iraq Ministry of Higher Education and Scientific Research PhD Scholarship. Part of the research work presented in this thesis was partially funded by ”Distributed and Adaptive Edge-based AI Models for Sensor Networks”, Sony Research Award Program 2020 Project, and HINTS, “Human-Centered Intelligent Realities” (grant: 20220068).
  • C. Nordahl, ‘Data Stream Mining and Analysis’, PhD dissertation, Blekinge Tekniska  Högskola, Karlskrona, 2024. https://bth.diva-portal.org/smash/record.jsf?pid=diva2%3A1809390&dswid=-7179 , co-financed partly by the Knowledge Foundation under the BigData, “Scalable resource-efficient systems for big data analytics” (grant: 20140032) and HINTS, “Human-Centered Intelligent Realities” (grant: 20220068).

2023

  • V. Kelkkanen, ‘Evaluation and Reduction of Temporal Issues in Remote VR’, PhD dissertation, Blekinge Tekniska  Högskola, Karlskrona, 2023. https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1744902&dswid=-8503,  co-financed partly by the Knowledge Foundation under the ViaTecH, “Human-centered computing for novel visual and interactive applications” (grant: 20170056) and HINTS, “Human-Centered Intelligent Realities” (grant: 20220068).

Other Publications

2024

  • I. Karsznia, A. Cöltekin, V. Sundstedt, AI vs. human-generalized maps. Can you spot the difference?, 2024. (accepted peer-reviewed abstract).
  • I. Karsznia, A. Çöltekin, V. Sundstedt, Cartographic generalization of settlement representations: human vs. machine, CartoVis24, ICA Workshop on AI, Geovisualization, and Analytical Reasoning, September, 2024.

Journals

2024

  • Yujia Lin, Liming Chen, Aftab Ali, Christopher Nugent, Cleland Ian, Rongyang Li, Jianguo Ding, and Huansheng Ning. Human Digital Twin: A Survey, Journal of Cloud Computing, 13, 131, 2024. https://doi.org/10.1186/s13677-024-00691-z
  • Rongyang Li, Jianguo Ding, Huansheng N ing. Biosignal Contrastive Representation Learning for Emotion Recognition of Game Users. IEEE Transactions on Games, 2024. DOI: 10.1109/TG.2024.3435339
  • Doreen Sarwatt, Yujia Lin, Jianguo Ding, Yunchuan Sun, Huansheng Ning. Metaverse for Intelligent Transportation System (ITS): A Comprehensive Review of Technologies, Applications, Implications, Challenges and Future Directions. IEEE Transactions on Intelligent Transportation Systems, VOL. 25, NO. 7, 2024. DOI:10.1109/TITS.2023.3347280
  • Andreasson, Simon, Linus Östergaard, and Prashant Goswami. “Parallel spatiotemporally adaptive DEM-based snow simulation.” Proceedings of the ACM on Computer Graphics and Interactive Techniques 7.3 (2024): 1-20.
  • Aouissi, M., Harzallah, S. & Cheddad, A. Crack growth optimization using eddy current testing and genetic algorithm for estimating the stress intensity factors. Acta Mech, (2024), Springer. https://doi.org/10.1007/s00707-024-03903-4

2022

  • Siva Krishna Dasari, Abbas Cheddad, Jonatan Palmquist, Lars Lundberg. “Clustering-based Adaptive Data Augmentation for Class-imbalance in Machine Learning (CADA): Additive Manufacturing Use-case,” Neural Computing & Applications, (2022), Springer.
  • Hahn, M., Nord, C., van Krieken. P. P., Berggren, P., Ilegems, E., Cheddad, A. & Ahlgren, U. “Quantitative 3D OPT and LSFM datasets of pancreata from mice with streptozotocin induced diabetes,” Nature – Scientific Data, 9, 558 (Sep 2022), Springer.
  • Prashant Goswami, Abbas Cheddad, Fredrik Junede, Samuel Asp, “Interactive landscape–scale cloud animation using DCGAN,” Frontiers in Computer Science, Sec. Computer Graphics and Visualization, vol. 5, 2023.

Conference Papers/Workshops

2024

  • Emil Fransson, Jonatan Hermansson, and Yan Hu. “A Comparison of Performance on WebGPU and WebGL in the Godot Game Engine.” 2024 IEEE Gaming, Entertainment, and Media Conference (GEM). IEEE, 2024.
  • Andersson, Klara, Erik Landén, and Prashant Goswami. “Exploring the Effects of Foveated Rendering on Virtual Reality Game Graphics.” IEEE CTSoc Gaming, Entertainment and Media (GEM). 2024.
  • Lakas, B.O., Berdjouh, C., Bouanane, K., Kherfi, M.L., Aiadi, O., Louamer, L., and Cheddad, A. (2024). Enhancing Diabetic Retinopathy Grading with Advanced Diffusion Models. To appear in: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024, London. Lecture Notes in Networks and Systems (LNNS), vol #. Springer, Singapore.
  • Laouamer, I., Aiadi, O., Kherfi, M.L., Cheddad, A., Amirat, H., and Drid, K. (2024). EnsUNet: Enhancing Brain Tumor Segmentation through Fusion of Pre-trained Models. To appear in: Yang, XS., Sherratt, R.S., Dey, N., Joshi, A. (eds) Proceedings of Ninth International Congress on Information and Communication Technology. ICICT 2024, London. Lecture Notes in Networks and Systems (LNNS), vol #. Springer, Singapore.

2023

  • J. Andersson and Y. Hu, “Exploring the Impact of Menu Systems, Interaction Methods, and Sitting or Standing Posture on User Experience in Virtual Reality,” 2023 IEEE Gaming, Entertainment, and Media Conference (GEM), Bridgetown, Barbados, 2023, pp. 1-6, doi: 10.1109/GEM59776.2023.10390210.
  • Maamouli, K., Benhamza, H., Djeffal, A., and Cheddad, A. “A CNN based architecture for forgery detection in administrative documents,” Presented at the International Symposium on iNnovative Informatics of Biskra (ISNIB’2022), 7-8 December 2022, IEEE.
  • Prashant Goswami, Henrik Johansson, Abbas Cheddad. ”Animated lightning bolt generation using machine learning.” Accepted as Full Paper at International Conference on Image Processing Theory, Tools and Applications (IPTA), 2023.
  • Cheddad, Z.A., Cheddad, A. (2023). Active Restoration of Lost Audio Signals using Machine Learning and Latent Information. Accepted in Intelligent Systems Conference (IntelliSys) and to appear as a book chapter in: Arai, K. (eds) Intelligent Systems and Applications. Lecture Notes in Networks and Systems. Springer, Cham.

2022

  • Khadidja Maamouli, Hiba Benhamza, Abdelhamid Djeffal, and Abbas Cheddad, “A CNN based architecture for forgery detection in administrative documents,” Accepted in the IEEE International Symposium on iNnovative Informatics of Biskra (ISNIB’2022), University of Biskra, 7-8 December 2022.
  • Abbas Cheddad and Christian Nordahl, “Distance Teaching Experience of Campus-based Teachers at Times of Pandemic Confinement,” Accepted in the proceedings of ACM 5th International Conference on Education Technology Management (ICETM 2022), University of Lincoln, UK, December 16-18, 2022.

For more information about each thesis, please click on the title.

Master of Science

Master of Science in Engineering

Bachelor of Science