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publications

Increasing intelligibility in the speech of the autistic children by an interactive computer game


Citation: Rahman, Md Mustafizur and Ferdous, SM and Ahmed, Syed Ishtiaque, “Increasing intelligibility in the speech of the autistic children by an interactive computer game”, 2010 IEEE International Symposium on Multimedia, 2010

Speech development of autistic children by interactive computer games


Citation: Rahman, Mustafizur and Ferdous, SM and Ishtiaque Ahmed, Syed and Anwar, Anika, “Speech development of autistic children by interactive computer games”, Interactive Technology and Smart Education, 2011

Solving the minimum common string partition problem with the help of ants


Citation: Ferdous, SM and Rahman, M Sohel, “Solving the minimum common string partition problem with the help of ants”, International Conference in Swarm Intelligence, 2013

A metaheuristic approach for application partitioning in Mobile System


Citation: Ferdous, S M and Rahman, M Sohel, “A metaheuristic approach for application partitioning in Mobile System”, Networking Systems and Security (NSysS), 2015 International Conference on, 2015

An Integer Programming Formulation of the Minimum Common String Partition Problem


Citation: Ferdous, S M and Rahman, M. Sohel, “An Integer Programming Formulation of the Minimum Common String Partition Problem”, PLoS ONE, 2015

Finding network connectivity failure in a Wireless Sensor Network


Citation: Ferdous, SM and Rahman, Md Mustafizur and Naznin, Mahmuda, “Finding network connectivity failure in a Wireless Sensor Network”, 2016 Wireless Days (WD), 2016

Cough detection using speech analysis


Citation: Ferdousi, Bushra and Ferdous, SM and Abdullah-Al-Mamun, Khondaker and Huda, Mohammad Nurul, “Cough detection using speech analysis”, 2015 18th International Conference on Computer and Information Technology (ICCIT), 2015

Solving the minimum common string partition problem with the help of ants


Citation: Ferdous, SM and Rahman, M Sohel, “Solving the minimum common string partition problem with the help of ants”, Mathematics in Computer Science, 2017

New approximation algorithms for minimum weighted edge cover


Citation: Ferdous, SM and Pothen, Alex and Khan, Arif, “New approximation algorithms for minimum weighted edge cover”, 2018 Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, 2018

Parallel algorithms through approximation: b-edge cover


Citation: Ferdous, SM and Khan, Arif and Pothen, Alex, “Parallel algorithms through approximation: b-edge cover”, 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2018

Adaptive anonymization of data using b-edge cover


Citation: Khan, Arif and Choromanski, Krzysztof and Pothen, Alex and Ferdous, SM and Halappanavar, Mahantesh and Tumeo, Antonino, “Adaptive anonymization of data using b-edge cover”, SC18: International Conference for High Performance Computing, Networking, Storage and Analysis, 2018

Approximation algorithms in combinatorial scientific computing


Citation: Pothen, Alex and Ferdous, SM and Manne, Fredrik, “Approximation algorithms in combinatorial scientific computing”, Acta Numerica, 2019

A parallel approximation algorithm for maximizing submodular b-matching


Citation: Ferdous, SM and Pothen, Alex and Khan, Arif and Panyala, Ajay and Halappanavar, Mahantesh, “A parallel approximation algorithm for maximizing submodular b-matching”, SIAM Conference on Applied and Computational Discrete Algorithms (ACDA21), 2021

Algorithms for Degree-Constrained Subgraphs and Applications


Citation: Ferdous, SM, “Algorithms for Degree-Constrained Subgraphs and Applications”, 2021

Privacy-preserving decentralized aggregation for federated learning


Citation: Jeon, Beomyeol and Ferdous, SM and Rahman, Muntasir Raihan and Walid, Anwar, “Privacy-preserving decentralized aggregation for federated learning”, IEEE INFOCOM 2021-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2021

EXAGRAPH: Graph and combinatorial methods for enabling exascale applications


Citation: Acer, Seher and Azad, Ariful and Boman, Erik G and Bulu{\c{c}}, Ayd{\i}n and Devine, Karen D and Ferdous, SM and Gawande, Nitin and Ghosh, Sayan and Halappanavar, Mahantesh and Kalyanaraman, Ananth and others, “EXAGRAPH: Graph and combinatorial methods for enabling exascale applications”, The International Journal of High Performance Computing Applications, 2021

AMG preconditioners based on parallel hybrid coarsening and multi-objective graph matching


Citation: D’Ambra, Pasqua and Durastante, Fabio and Ferdous, SM and Filippone, Salvatore and Halappanavar, Mahantesh and Pothen, Alex, “AMG preconditioners based on parallel hybrid coarsening and multi-objective graph matching”, 2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2023

cuAlign: Scalable Network Alignment on GPU Accelerators


Citation: Xiang, Lizhi and Khan, Arif and Ferdous, SM and Aravind, SR and Halappanavar, Mahantesh, “cuAlign: Scalable Network Alignment on GPU Accelerators”, Proceedings of the SC’23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, 2023

Approximate Bipartite $ b $-Matching using Multiplicative Auction


Citation: Samineni, Bhargav and Ferdous, SM and Halappanavar, Mahantesh and Krishnamoorthy, Bala, “Approximate Bipartite $ b $-Matching using Multiplicative Auction”, arXiv preprint arXiv:2403.05781, 2024

Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing


Citation: Ferdous, SM and Neff, Reece and Peng, Bo and Shuvo, Salman and Minutoli, Marco and Mukherjee, Sayak and Kowalski, Karol and Becchi, Michela and Halappanavar, Mahantesh, “Picasso: Memory-Efficient Graph Coloring Using Palettes With Applications in Quantum Computing”, 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2024

Streaming matching and edge cover in practice


Citation: Ferdous, SM and Pothen, Alex and Halappanavar, Mahantesh, “Streaming matching and edge cover in practice”, 22nd International Symposium on Experimental Algorithms (SEA 2024), 2024

AGS-GNN: Attribute-guided sampling for graph neural networks


Citation: Das, Siddhartha Shankar and Ferdous, SM and Halappanavar, Mahantesh M and Serra, Edoardo and Pothen, Alex, “Ags-gnn: Attribute-guided sampling for graph neural networks”, Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Semi-Streaming Algorithms for Weighted k-Disjoint Matchings


Citation: Ferdous, S M and Samineni, Bhargav and Pothen, Alex and Halappanavar, Mahantesh and Krishnamoorthy, Bala, “Semi-Streaming Algorithms for Weighted k-Disjoint Matchings”, 32nd Annual European Symposium on Algorithms (ESA 2024), 2024

Efficient Weighted Graph Matching on GPUs


Citation: Mandulak, Michael and Ghosh, Sayan and Ferdous, SM and Halappanvar, Mahantesh and Slota, George, “Efficient Weighted Graph Matching on GPUs”, SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, 2024

ApproxJoin: Approximate Matching for Efficient Verification in Fuzzy Set Similarity Join


Citation: Mandulak, Michael and Ferdous, SM and Ghosh, Sayan and Halappanavar, Mahantesh and Slota, George, “ApproxJoin: Approximate Matching for Efficient Verification in Fuzzy Set Similarity Join”, arXiv preprint arXiv:2507.18891, 2025

GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs


Citation: Gautam, Priyanka and Natarajan, Balasubramaniam and Munikoti, Sai and Ferdous, SM and Halappanavar, Mahantesh, “GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs”, arXiv preprint arXiv:2503.23713, 2025

SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks


Citation: Shankar Das, Siddhartha and Anjum Arafat, Naheed and Rahman, Muftiqur and Ferdous, SM and Pothen, Alex and Halappanavar, Mahantesh M, “SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks”, arXiv e-prints, 2025

GreediRIS: Scalable influence maximization using distributed streaming maximum cover


Citation: Barik, Reet and Cappa, Wade and Ferdous, SM and Minutoli, Marco and Halappanavar, Mahantesh and Kalyanaraman, Ananth, “GreediRIS: Scalable influence maximization using distributed streaming maximum cover”, Journal of Parallel and Distributed Computing, 2025

GreedyML: A Parallel Algorithm for Maximizing Constrained Submodular Functions


Citation: Gopal, Shivaram and Ferdous, SM and Maji, Hemanta K and Pothen, Alex, “GreedyML: A Parallel Algorithm for Maximizing Constrained Submodular Functions”, arXiv preprint arXiv:2403.10332, 2024

DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems


Citation: Minutoli, Marco and Neff, Reece and Sattar, Naw Safrin and Lu, Hao and Feo, John and Mortveit, Henning and Vullikanti, Anil and Xie, Dawen and Wilson, Mandy L and von Laszewski, Gregor and others, “DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems”, Proceedings of the 39th ACM International Conference on Supercomputing, 2025

ELRUHNA: Elimination Rule-based Hypergraph Alignment


Citation: Ibrahim, Cameron and Ferdous, SM and Safro, Ilya and Minutoli, Marco and Halappanavar, Mahantesh, “ELRUHNA: Elimination Rule-basedHypergraph Alignment”, arXiv preprint arXiv:2506.09866, 2025

Semi-streaming algorithms for hypergraph matching


Weighted Matching in a Poly-Streaming Model


Anonymized Network Sensing using C++ 26 std:: execution on GPUs


Citation: Mandulak, Michael and Ghosh, Sayan and Ferdous, SM and Halappanavar, Mahantesh and Slota, George, “Anonymized Network Sensing using C++ 26 std:: execution on GPUs”, 2025 IEEE High Performance Extreme Computing Conference (HPEC), 2025