Umeå universitet
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Personalbild Monowar Bhuyan

Monowar Bhuyan

Jag är biträdande universitetslektor, anställd inom WASP, en av gruppledarna inom Autonomous Distributed Systems Lab, https://cloudresearch.org/.

Kontakt

E-post
monowar.bhuyan@umu.se
Telefon
090-786 67 05

Verksam vid

Anknytning
Biträdande universitetslektor vid Institutionen för datavetenskap
Plats
Naturvetarhuset, Umeå universitet, NAT.B2.208 Umeå universitet, 901 87 Umeå

Jag arbetar främst med maskininlärning, avvikelsedetektering, säkerhet och integritet, pålitlig AI och distribuerade system.

Jag erhöll min doktorsexamen i datavetenskap och teknik vid Tezpur University, Indien 2014. Jag var gästforskare vid laboratoriet för cyberresiliens vid NAIST, Japan, finansierat av NICT Japan, forskare vid Institutionen för datavetenskap, Umeå universitet, Sverige, universitetslektor och biträdande universitetslektor vid Institutionen för datavetenskap och teknik vid Assam Kaziranga University, Jorhat, Indien, och forskare vid Institutionen för datavetenskap och teknik, Tezpur University, Indien från januari 2009 till december 2019.

Läs mer på min institutionssida.

Uncovering latency anomalies in 5G RAN - A combination learner approach
2022 14th International Conference on COMmunication Systems & NETworkS (COMSNETS), IEEE 2022 : 621-629
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
Fed-FiS: A Novel Information-Theoretic Federated Feature Selection for Learning Stability
Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8–12, 2021, Proceedings, Part V, Springer Nature 2021 : 480-487
Banerjee, Sourasekhar; Elmroth, Erik; Bhuyan, Monowar H.
Detection of VSI-DDoS Attacks on the Edge: A Sequential Modeling Approach
ARES 2021: The 16th International Conference on Availability, Reliability and Security
Forough, Javad; Bhuyan, Monowar H.; Elmroth, Erik
Cformer: Semi-Supervised Text Clustering Based on Pseudo Labeling
CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management, ACM Digital Library 2021 : 3078-3082
Hatefi, Arezoo; Vu, Xuan-Son; Bhuyan, Monowar H.; et al.
D-LBAH: Dynamic Load Balancing Algorithm for HEC-SDN systems
2021 8th International Conference on Future Internet of Things and Cloud (FiCloud), IEEE 2021 : 304-310
Mbacke Babou, Cheikh Saliou; Fall, Doudou; Kashihara, Shigeru; et al.
DeL-IoT: A Deep Ensemble Learning Approach to Uncover Anomalies in IoT
Internet of Things, Elsevier 2021, Vol. 14
Tsogbaatar, E.; Bhuyan, Monowar H.; Taenaka, Y.; et al.
A 1D-CNN Based Deep Learning for Detecting VSI-DDoS Attacks in IoT Applications
Advances and Trends in Artificial Intelligence: Artificial Intelligence Practices : Proceedings, Part I, Springer 2021 : 530-543
Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Fall, Doudou; et al.
Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting
ICONIP 2020: Neural Information Processing: 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V, Thailand: Springer Berlin/Heidelberg 2020 : 113-120
Agarwal, Ayush; Chivukula, Aneesh Sreevallabh; Bhuyan, Monowar H.; et al.
End-to-End Analysis for Text Detection and Recognition in Natural Scene Images
2020 International Joint Conference on Neural Networks (IJCNN): Proceedings
Alnefaie, Ahlam; Gupta, Deepak; Bhuyan, Monowar H.; et al.
Hierarchical Load Balancing and Clustering Technique for Home Edge Computing
IEEE Access, IEEE 2020, Vol. 8 : 127593-127607
Babou, Cheikh Saliou Mbacke; Fall, Doudou; Kashihara, Shigeru; et al.
Multi-Diseases Classification From Chest-X-Ray: A Federated Deep Learning Approach
AI 2020: Advances in Artificial Intelligence: 33rd Australasian Joint Conference, AI 2020, Canberra, ACT, Australia, November 29–30, 2020, Proceedings, Springer 2020 : 3-15
Banerjee, Sourasekhar; Misra, Rajiv; Prasad, Mukesh; et al.
Boosted Ensemble Learning for Anomaly Detection in 5G RAN
Artificial Intelligence Applications and Innovations, AIAI 2020, Springer 2020 : 15-30
Sundqvist, Tobias; Bhuyan, Monowar H.; Forsman, Johan; et al.
SDN-Enabled IoT Anomaly Detection Using Ensemble Learning
Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Springer 2020 : 268-280
Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Taenaka, Yuzo; et al.
Information-theoretic Ensemble Learning for DDoS Detection with Adaptive Boosting
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), IEEE Computer Society 2019 : 995-1002
Bhuyan, Monowar H.; Ma, Maode; Kadobayashi, Youki; et al.
Adversarial Impact on Anomaly Detectionin Cloud Datacenters
2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing (PRDC), IEEE 2019 : 188-197
Deka, Pratyush Kr.; Bhuyan, Monowar H.; Kadobayashi, Youki; et al.
TVis: A Light-weight Traffic Visualization System for DDoS Detection
The Proceedings: 2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
Kalwar, Abhishek; Bhuyan, Monowar H.; Bhattacharyya, Dhruba K.; et al.
SURE-H: A Secure IoT Enabled Smart Home System
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), IEEE 2019 : 59-63
Sarmah, Roshmi; Bhuyan, Manasjyoti; Bhuyan, Monowar H.
Multi-Scale Low-Rate DDoS Attack Detection Using the Generalized Total Variation Metric
17th IEEE International Conference on Machine Learning and Applications, IEEE 2018 : 1040-1047
Bhuyan, Monowar H.; Elmroth, Erik
Visa publikationer i DiVA

Jag har huvudsakligen undervisat på två kurser: Distributed Systems (5DV186) och Cloud Computing (5DV192). Just nu undervisar jag på Distributed Systems (5DV186) och är även handledare för flera examensarbeten.