Muhammad Azam Sheikh

Showing 29 publications

2023

What are the root causes of material delivery schedule inaccuracy in supply chains?

Patrik Jonsson, Johan Öhlin, Hafez Shurrab et al
International Journal of Operations and Production Management. Vol. 44 (13), p. 34-68
Journal article
2022

Controlling gene expression with deep generative design of regulatory DNA

Jan Zrimec, Xiaozhi Fu, Muhammad Azam Sheikh et al
Nature Communications. Vol. 13 (1), p. 5099-
Journal article
2021

A Novel Machine Learning Based Approach for Post-OCR Error Detection

Shafqat Mumtaz Virk, Dana Dannélls, Muhammad Azam Sheikh
International Conference Recent Advances in Natural Language Processing, RANLP, p. 1463-1470
Paper in proceeding
2021

Machine learning-based investigation of the cancer protein secretory pathway

Rasool Saghaleyni, Muhammad Azam Sheikh, Pramod Bangalore et al
PLoS Computational Biology. Vol. 17 (4)
Journal article
2021

A Deep Learning System for Automatic Extraction of Typological Linguistic Information from Descriptive Grammars

Shafqat Mumtaz Virk, Daniel Foster, Muhammad Azam Sheikh et al
International Conference Recent Advances in Natural Language Processing, RANLP, p. 1480-1489
Paper in proceeding
2021

Common Spatial Pattern EEG decomposition for Phantom Limb Pain detection

Eva Lendaro, Ebrahim Balouji, Karen Baca et al
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, p. 726-729
Paper in proceeding
2021

Artificial intelligence for throughput bottleneck analysis – State-of-the-art and future directions

Mukund Subramaniyan, Anders Skoogh, Jon Bokrantz et al
Journal of Manufacturing Systems. Vol. 60, p. 734-751
Review article
2021

On Scene Injury Severity Prediction (OSISP) machine learning algorithms for motor vehicle crash occupants in US

Stefan Candefjord, Muhammad Azam Sheikh, Pramod Bangalore et al
Journal of Transport and Health. Vol. 22
Journal article
2020

Context-Aware Optimal Charging Distribution using Deep Reinforcement Learning

Muddsair Sharif, Charitha Buddhika Heendeniya, Muhammad Azam Sheikh et al
ACM International Conference Proceeding Series, p. 64-68
Paper in proceeding
2020

A data-driven approach to diagnosing throughput bottlenecks from a maintenance perspective

Mukund Subramaniyan, Anders Skoogh, Muhammad Azam Sheikh et al
Computers and Industrial Engineering. Vol. 150
Journal article
2020

Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure

Jan Zrimec, Christoph Sebastian Börlin, Filip Buric et al
Nature Communications. Vol. 11 (1)
Journal article
2020

A generic hierarchical clustering approach for detecting bottlenecks in manufacturing

Mukund Subramaniyan, Anders Skoogh, Muhammad Azam Sheikh et al
Journal of Manufacturing Systems. Vol. 55, p. 143-158
Journal article
2019

Bayesian optimization in ab initio nuclear physics

Andreas Ekström, Christian Forssen, Christos Dimitrakakis et al
Journal of Physics G: Nuclear and Particle Physics. Vol. 46 (9)
Journal article
2019

A prognostic algorithm to prescribe improvement measures on throughput bottlenecks

Mukund Subramaniyan, Anders Skoogh, Muhammad Azam Sheikh et al
Journal of Manufacturing Systems. Vol. 53, p. 271-281
Journal article
2019

Exploiting frame semantics and frame-semantic parsing for automatic extraction of typological information from descriptive grammars of natural languages

Shafqat Mumtaz Virk, Muhammad Azam Sheikh, Lars Borin et al
International Conference Recent Advances in Natural Language Processing, RANLP. Vol. 2019-September, p. 1247-1256
Paper in proceeding
2018

Data-driven algorithm for throughput bottleneck analysis of production systems

Mukund Subramaniyan, Anders Skoogh, Hans Salomonsson et al
Production and Manufacturing Research. Vol. 6 (1), p. 225-246
Journal article
2018

Visualizing and mitigating delivery schedule deficiencies and inaccuracies using big data analytics

Patrik Jonsson, Muhammad Azam Sheikh
Book of abstracts EurOMA 2018, p. 280-
Paper in proceeding
2016

Summarizing online user reviews using bicliques

Muhammad Azam Sheikh, Peter Damaschke, Olof Mogren
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9587, p. 569-579
Paper in proceeding
2014

Strict group testing and the set basis problem

Peter Damaschke, Muhammad Azam Sheikh, Gabor Wiener
Journal of Combinatorial Theory - Series A. Vol. 126 (1), p. 70-91
Journal article
2013

A toolbox for provably optimal multistage strict group testing strategies

Peter Damaschke, Muhammad Azam Sheikh
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7936, p. 446-457
Paper in proceeding
2013

Hypothesis-Driven Approaches to Multivariate Analysis of qPCR Data

Anders Bergkvist, Muhammad Azam Sheikh, Peter Damaschke
PCR Technology: Current Innovations, Third Edition, p. 233-243
Book chapter
2013

Two new perspectives on multi-stage group testing

Peter Damaschke, Muhammad Azam Sheikh, Eberhard Triesch
Algorithmica. Vol. 67 (3), p. 324-354
Journal article
2012

Randomized group testing both query-optimal and minimal adaptive

Peter Damaschke, Muhammad Azam Sheikh
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7147, p. 214-225
Paper in proceeding
2011

Bounds for nonadaptive group tests to estimate the amount of defectives

Peter Damaschke, Muhammad Azam Sheikh
Discrete Mathematics, Algorithms and Applications. Vol. 3 (4), p. 517-536
Journal article
2010

Bounds for nonadaptive group tests to estimate the amount of defectives

Peter Damaschke, Muhammad Azam Sheikh
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6509 (PART 2), p. 117-130
Paper in proceeding
2010

Competitive group testing and learning hidden vertex covers with minimum adaptivity

Peter Damaschke, Muhammad Azam Sheikh
Discrete Mathematics, Algorithms and Applications. Vol. 2 (3), p. 291-311
Journal article
2009

Competitive group testing and learning hidden vertex covers with minimum adaptivity

Peter Damaschke, Muhammad Azam Sheikh
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5699, p. 84-95
Paper in proceeding

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Showing 2 research projects

2018–2021

Future of sharing schedule information in automotive industry supply chains using advanced data analytics

Patrik Jonsson Supply and Operations Management
Hafez Shurrab Supply and Operations Management
Paulina Myrelid Supply and Operations Management
Muhammad Azam Sheikh CSE Verksamhetsstöd
Robin Hanson Supply and Operations Management
Magnus Kjellberg CSE Verksamhetsstöd
VINNOVA
FFI - Strategic Vehicle Research and Innovation

7 publications exist
2017–2017

The potential of BigData in material supply and information sharing in supply chains

Patrik Jonsson Supply and Operations Management
Gunnar Stefansson Service Management and Logistics
Muhammad Azam Sheikh CSE Verksamhetsstöd
Chalmers

There might be more projects where Muhammad Azam Sheikh participates, but you have to be logged in as a Chalmers employee to see them.