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Staff photo Monowar Bhuyan

Monowar Bhuyan

Assistant Professor (biträdande universitetslektor), WASP, one of the research group leaders in Autonomous Distributed Systems Lab, https://cloudresearch.org/.

0000-0002-9842-7840

Contact

E-mail
monowar.bhuyan@umu.se
Phone
+46 90 786 67 05

Works at

Affiliation
Assistant professor at Department of Computing Science
Location
MIT-huset, Umeå universitet, MIT.C.225 Umeå universitet, 901 87 Umeå

Monowar received doctoral degree in Computer Science and Engineering from Tezpur University, India in 2014. He was a Visiting Researcher in the Laboratory for Cyber Resilience at NAIST, Japan funded by NICT, Japan, a Researcher, Department of Computing Science, Umeå University, Sweden, an Associate Professor (Senior Lecturer) and an Assistant Professor (Lecturer) in the Department of Computer Science and Engineering at Assam Kaziranga University, Jorhat, India, and a Researcher in the Department of Computer Science and Engineering, Tezpur University, India from January 2009 to December 2019. He primarily works in machine learning, anomaly detection, security and privacy, trustworthy AI, and distributed systems.

Read more on the personal page.

Towards post-disaster damage assessment using deep transfer learning and GAN-based data augmentation
ICDCN '23: Proceedings of the 24th International Conference on Distributed Computing and Networking, ACM Digital Library 2023 : 372-377
Banerjee, Sourasekhar; Patel, Yashwant Singh; Kumar, Pushkar; et al.
Semi-supervised range-based anomaly detection for cloud systems
IEEE Transactions on Network and Service Management, IEEE 2023, Vol. 20, (2) : 1290-1304
Deka, Pratyush Kr.; Verma, Yash; Bhutto, Adil Bin; et al.
Bottleneck identification and failure prevention with procedural learning in 5G RAN
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), IEEE 2023 : 426-436
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
COGNIT: challenges and vision for a serverless and multi-provider cognitive cloud-edge continuum
2023 IEEE International Conference on Edge Computing and Communications (EDGE), IEEE 2023 : 12-22
Townend, Paul; Martí, Alberto P.; De La Iglesia, Idoia; et al.
MetaVSID: a robust meta-reinforced learning approach for VSI-DDoS detection on the edge
IEEE Transactions on Network and Service Management, IEEE 2023, Vol. 20, (2) : 1625-1643
Vu, Xuan-Son; Ma, Maode; Bhuyan, Monowar H.
Optimized and adaptive federated learning for straggler-resilient device selection
2022 International Joint Conference on Neural Networks (IJCNN), IEEE 2022 : 1-9
Banerjee, Sourasekhar; Vu, Xuan-Son; Bhuyan, Monowar H.
Personalized multi-tier federated learning
FL-NeurIPS'22, International Workshop on Federated Learning: Recent Advances and New Challenges in Conjunction with NeurIPS 2022, New Orleans, LA, USA, December 2, 2022
Banerjee, Sourasekhar; Yurtsever, Alp; Bhuyan, Monowar H.
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds
IEEE Access, IEEE 2022, Vol. 10 : 94677-94690
Bhutto, Adil B.; Vu, Xuan-Son; Elmroth, Erik; et al.
Welcome message from the TPC chairs of IEEE JCC 2022
Proceedings: 2022 IEEE International Conference on Joint Cloud Computing (JCC), IEEE Computer Society 2022 : IX-IX
Bhuyan, Monowar H.; Xu, Lijie
Argumentation-based adversarial regression with multiple learners
2022 IEEE 34th international conference on tools with artificial intelligence (ICTAI), IEEE 2022 : 96-104
Bhuyan, Monowar; Nieves, Juan Carlos
A survey on blockchain, SDN and NFV for the smart-home security
Internet of Things: Engineering Cyber Physical Human Systems, Elsevier 2022, Vol. 20
Douha, N'guessan Yves-Roland; Bhuyan, Monowar H.; Kashihara, Shigeru; et al.
Dela: a deep ensemble learning approach for cross-layer VSI-DDoS detection on the edge
Proceedings of the International Conference on Distributed Computing Systems
Forough, Javad; Bhuyan, Monowar H.; Elmroth, Erik
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
Unsupervised root-cause identification of software bugs in 5G RAN
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC): Proceedings, IEEE 2022 : 624-630
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
The 6G Computing Continuum (6GCC): Meeting the 6G computing challenges
2022 1st International Conference on 6G Networking, 6GNet 2022
Tarneberg, William; Fitzgerald, Emma; Bhuyan, Monowar H.; et al.
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: Engineering Cyber Physical Human Systems, 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
Robust procedural learning for anomaly detection and observability in 5G RAN
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
View publications in DiVA

Having long time been in academics, I have years of experience in teaching multiple subjects, and supervising Bachelor and Master thesis. At UMU, I have been teaching mainly two courses -- Distributed Systems (5DV186) and Cloud Computing (5DV192). Presently, I am teaching Distributed Systems (5DV186) and also supervising multiple Master Thesis.