Sayyed Auwn Muhammad

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Lars ArvestadStockholm University; Dept of Mathematics, and Swedish e-Science Research CenterVerified email at math.su.se
Raja Hashim AliUniversity of Europe for Applied Sciences, Potsdam Campus, GermanyVerified email at giki.edu.pk
Hanne FjeldeUppsala University and Peace Research Institute Oslo (PRIO)Verified email at pcr.uu.se
Michael ColaresiUniversity of PittsburghVerified email at pitt.edu
Lisa HultmanUppsala UniversityVerified email at pcr.uu.se
Mihai CroicuPh.D. Candidate, Uppsala UniversityVerified email at pcr.uu.se
Håvard HegreProfessor, Department of Peace and Conflict Research, Uppsala UniversityVerified email at pcr.uu.se
Mehmood Alam KhanThe Royal Institute of TechnologyVerified email at kth.se
Joel SjöstrandPh.D. student, Stockholm University, Science for Life LaboratoryVerified email at scilifelab.se
Ramanathan SowdhaminiProfessor, National Centre for Biological SciencesVerified email at ncbs.res.in
Jens LagergrenKTH, Royal Institute of TechnologyVerified email at scilifelab.se

Sayyed Auwn Muhammad

Lead Data Scientist at Ericsson

Verified email at ericsson.com - Homepage

Machine Learning Bayesian Inference Data Science


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ViEWS: A political violence early-warning system H Hegre, M Allansson, M Basedau, M Colaresi, M Croicu, H Fjelde, ... Journal of peace research 56 (2), 155-174, 2019	170	2019
Human immune system variation during 1 year T Lakshmikanth, SA Muhammad, A Olin, Y Chen, J Mikes, L Fagerberg, ... Cell reports 32 (3), 2020	58	2020
Quantitative synteny scoring improves homology inference and partitioning of gene families RH Ali, SA Muhammad, MA Khan, L Arvestad BMC bioinformatics 14, 1-9, 2013	37	2013
VMCMC: a graphical and statistical analysis tool for Markov chain Monte Carlo traces RH Ali, M Bark, J Miró, SA Muhammad, J Sjöstrand, SM Zubair, RM Abbas, ... BMC bioinformatics 18, 1-8, 2017	35	2017
GenFamClust: an accurate, synteny-aware and reliable homology inference algorithm RH Ali, SA Muhammad, L Arvestad BMC evolutionary biology 16, 1-19, 2016	17	2016
Sequence analysis and evolutionary studies of reelin proteins M Manoharan, SA Muhammad, R Sowdhamini Bioinformatics and Biology insights 9, BBI. S26530, 2015	17	2015
Cluster-based parallel testing using semantic analysis C Landing, S Tahvili, H Haggren, M Langkvis, A Muhammad, A Loufi 2020 IEEE International Conference On Artificial Intelligence Testing …, 2020	14	2020
Species tree-aware simultaneous reconstruction of gene and domain evolution SA Muhammad, B Sennblad, J Lagergren bioRxiv, 336453, 2018	8	2018
Performance analysis of deep anomaly detection algorithms for commercial microwave link attenuation O Engström, S Tahvili, A Muhammad, F Yaghoubi, L Pellaco 2020 International Conference on Advanced Computer Science and Information …, 2020	2	2020
Probabilistic Modelling of Domain and Gene Evolution SA Muhammad KTH Royal Institute of Technology, 2016	1	2016
Feature Engineering and Machine Learning Pipeline for Detecting Radio Protocol-based Attacks A Muhammad, L Abdelrazek, I Ullah 2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-7, 2023		2023
Systems and methods for machine learned network activity profiling of devices SA Muhammad, I Ullah, L Abdelrazek WO Patent WO2023281323A1, 2023		2023

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