apl. Prof. Dr.-Ing. habil. Mohit Kumar

Researcher Data Analysis Systems
Phone: +43 50 343 826


Data Science - DAS

M. Kumar, S. Singh, B. Freudenthaler. Gaussian fuzzy theoretic analysis for variational learning of nested compositions. International Journal of Approximate Reasoning, volume 131, pages 1-29, DOI: 10.1016/j.ijar.2020.12.021, April, 2021.

L. Fischer, L. Ehrlinger, V. Geist, R. Ramler, F. Sobiezky, W. Zellinger, D. Brunner, M. Kumar, B. Moser. AI System Engineering - Key Challenges and Lessons Learned. Machine Learning & Knowledge Extraction, volume 3, number 1, pages 56-83, DOI: 10.3390/make3010004, December, 2020.

M. Kumar, W. Zhang, M. Weippert, B. Freudenthaler. An explainable fuzzy theoretic nonparametric deep model for stress assessment using heartbeat intervals analysis. IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2020.3029284, October, 2020.

M. Kumar, M. Roßbory, B. Moser, B. Freudenthaler. An optimal (∊,δ)-differentially private learning of distributed deep fuzzy model. Information Services, volume online first, DOI: 10.1016/j.ins.2020.07.044, August, 2020.

M. Kumar, M. Roßbory, B. Moser, B. Freudenthaler. Differentially private learning of distributed deep models. MAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization, pages 193-200, DOI 10.1145/3386392.3399562, ACM, July, 2020.

V. Janjic, J. Bowles, A. Vermeulen, A. Silvina, M. Belk, C. Fidas, A. Pitsillides, M. Kumar, M. Rossbory, M. Vinov, T. Given-Wilson, A. Legay, E. Blackledge, R. Arredouani, G. Stylianou, W. Huang. The SERUMS tool-chain: Ensuring security and privacy of medical data in smart patient-centric healthcare systems. Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData 2019), pages 2726-2735, DOI 10.1109/BigData47090.2019.9005600, IEEE, February, 2020.

M. Kumar, D. Brunner, B. Moser, B. Freudenthaler. Variational optimization of informational privacy. In G. Kotsis, A. Tjoa, I. Khali, L. Fischer, B. Moser, A. Mashkoor, J. Sametinger, A. Fensel, J. Martínez Gil (editors), DEXA 2020: Database and Expert Systems Applications, Communications in Computer and Information Science, volume 1285, pages 32-47, DOI 10.1007/978-3-030-59028-4_4, Springer, September, 2020.

W. Zhang, M. Kumar, J. Yang, Y. Zhou, Y. Mao. An adaptive fuzzy filter for image denoising. Cluster Computing, volume 22, pages 14107-14124, DOI: 10.1007/s10586-018-2253-5, November, 2019.

M. Kumar, M. Roßbory, B. Moser, B. Freudenthaler. Deriving an optimal noise adding mechanism for privacy-preserving machine learning. In G. Anderst-Kotsis, A. Tjoa, I. Khalil, E. al. (editors), Database and Expert Systems Applications - Proc DEXA 209 International Workshops, Communications in Computer and Information Science, volume 1062, pages 108-118, DOI 10.1007/978-3-030-27684-3_15, Springer, August, 2019.

M. Kumar, B. Freudenthaler. Fuzzy membership functional analysis for nonparametric deep models of image features. IEEE Transactions on Fuzzy Systems, DOI: 10.1109/TFUZZ.2019.2950636, October, 2019.

M. Kumar, S. Chatterjee, W. Zhang, J. Yang, L. Kolbe. Fuzzy theoretic model based analysis of image features. Information Sciences, volume 480, number 4, pages 34-54, April, 2019.

W. Zhang, M. Kumar, J. Liu. Multi-parameter online measurement IoT system based on BP neural network algorithm. Neural Comput & Applic, volume 31, pages 8147-8155, DOI: 10.1007/s00521-018-3856-8, November, 2019.