This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a Carleton University directory, so their courses and email address may be missing. Find their university profile.
Research
Latest papers
Developing an artificial intelligence-generated peptide targeting platelet-type von Willebrand disease.
Blood advances · 2026
Artificial Intelligence Reveals Nature: Functional Parallels Between a Designed and a Natural Peptide.
International journal of molecular sciences · 2025
Human protein interaction networks of ancestral and variant SARS-CoV-2 in organ-specific cells and bodily fluids.
Nature communications · 2025
Latest funding
- $997,826
Archives 4.0: Artificial Intelligence for Trust in Records and Archives
SSHRC · 2020 · Co-investigator
- $168,000
Parallel Algorithms and Systems for Applications in Data Analytics
NSERC · 2018 · Principal investigator
- $13,015
Personalized human protein interactomes
NSERC · 2013 · Principal investigator
21 publications.
Developing an artificial intelligence-generated peptide targeting platelet-type von Willebrand disease.
Kazmirchuk TDD, Wang J, Bury L, Falcinelli E, Bradbury-Jost C, Koziar A, Al-Gafari M, Takallou S, Willmore WG, Dehne F, Gresele P, Othman M, Golshani A
Artificial Intelligence Reveals Nature: Functional Parallels Between a Designed and a Natural Peptide.
Wang J, Kazmirchuk TDD, Hajikarimlou M, Al-Gafari M, Takallou S, Moteshareie H, Dehne F, Samanfar B, Babu M, Azad T, Golshani A
Human protein interaction networks of ancestral and variant SARS-CoV-2 in organ-specific cells and bodily fluids.
Broderick K, Moutaoufik MT, Saccon T, Malty R, Amin S, Phanse S, Joseph TP, Zilocchi M, Hosseinnia A, Istace Z, Hajikarimlou M, Abrar S, Fisher J, Brassard R, Perera R, Kumar A, Aoki H, Rahmatbakhsh M, Jessulat M, Kobasa D, Dehne F, Prasad B, Gagarinova A, Joanne Lemieux M, Cochrane A, Houry WA, Aly KA, Golshani A, Babu M
Peptides of a Feather: How Computation Is Taking Peptide Therapeutics under Its Wing.
Kazmirchuk TDD, Bradbury-Jost C, Withey TA, Gessese T, Azad T, Samanfar B, Dehne F, Golshani A
A computational approach to rapidly design peptides that detect SARS-CoV-2 surface protein S.
Hajikarimlou M, Hooshyar M, Moutaoufik MT, Aly KA, Azad T, Takallou S, Jagadeesan S, Phanse S, Said KB, Samanfar B, Bell JC, Dehne F, Babu M, Golshani A
Human-Soybean Allergies: Elucidation of the Seed Proteome and Comprehensive Protein-Protein Interaction Prediction.
Dick K, Pattang A, Hooker J, Nissan N, Sadowski M, Barnes B, Tan LH, Burnside D, Phanse S, Aoki H, Babu M, Dehne F, Golshani A, Cober ER, Green JR, Samanfar B
PIPE4: Fast PPI Predictor for Comprehensive Inter- and Cross-Species Interactomes.
Dick K, Samanfar B, Barnes B, Cober ER, Mimee B, Tan LH, Molnar SJ, Biggar KK, Golshani A, Dehne F, Green JR
In Silico Engineering of Synthetic Binding Proteins from Random Amino Acid Sequences.
Burnside D, Schoenrock A, Moteshareie H, Hooshyar M, Basra P, Hajikarimlou M, Dick K, Barnes B, Kazmirchuk T, Jessulat M, Pitre S, Samanfar B, Babu M, Green JR, Wong A, Dehne F, Biggar KK, Golshani A
Insights into the suitability of utilizing brown rats (Rattus norvegicus) as a model for healing spinal cord injury with epidermal growth factor and fibroblast growth factor-II by predicting protein-protein interactions.
Grigg N, Schoenrock A, Dick K, Green JR, Golshani A, Wong A, Dehne F, Tsai EC, Biggar KK
Uncharacterized ORF HUR1 influences the efficiency of non-homologous end-joining repair in Saccharomyces cerevisiae.
Omidi K, Jessulat M, Hooshyar M, Burnside D, Schoenrock A, Kazmirchuk T, Hajikarimlou M, Daniel M, Moteshareie H, Bhojoo U, Sanders M, Ramotar D, Dehne F, Samanfar B, Babu M, Golshani A
Archives 4.0: Artificial Intelligence for Trust in Records and Archives
Keywords: public records; artificial intelligence; AI; records classification; records reliability; records authenticity; records use; records management; archival appraisal; archival description; archival access; visualization; machine learning
Parallel Algorithms and Systems for Applications in Data Analytics
Principal investigators: Dehne, Frank
Keywords: parallel algorithms; cluster computing; multi-core processors; many-core processors (gpus); hybrid processor clusters; auto-tuning; parallel graph algorithms; data aggregation; map-reduce; protein analytics
Personalized human protein interactomes
Principal investigators: Dehne, Frank
Auto-tuned parallel algorithms for hybrid multi-core/many-core processor clusters
Principal investigators: Dehne, Frank
Auto-tuned parallel algorithms for hybrid multi-core/many-core processor clusters
Principal investigators: Dehne, Frank
Parallel algorithms for multi-core & many-core processor clusters and applications in online analytical processing (OLAP) and computational biology
Principal investigators: Dehne, Frank
Coarse grained parallel algorithms
Principal investigators: Dehne, Frank
HPCVL operational and access support
Principal investigators: Mewhort, Douglas
A testbed for data intensive, scalable parallel algorithms and applications
Principal investigators: Dehne, Frank
Coarse-grained parallel algorithms
Principal investigators: Dehne, Frank
From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.
Frequent collaborators
- Mohan Babu and Ashkan Golshani: 23 shared papers
- Frank Dehne and Ashkan Golshani: 19 shared papers
- Mohan Babu and Frank Dehne: 8 shared papers
- Alex Wong and Ashkan Golshani: 6 shared papers
- Mohan Babu and Alan Cochrane: 5 shared papers
- Alex Wong and Frank Dehne: 5 shared papers
- Taha Azad and Ashkan Golshani: 5 shared papers
- Edana Cassol and Ashkan Golshani: 4 shared papers
- Mohan Babu and Alex Wong: 3 shared papers
- James Green and Ashkan Golshani: 3 shared papers
- Mohan Babu and Alla Gagarinova: 2 shared papers
- James Green and Frank Dehne: 2 shared papers
- Taha Azad and Frank Dehne: 2 shared papers
- Mohan Babu and Darwyn Kobasa: 1 shared paper
- Mohan Babu and Dindial Ramotar: 1 shared paper
- Mohan Babu and Edana Cassol: 1 shared paper
- Mohan Babu and Taha Azad: 1 shared paper
- Alan Cochrane and Darwyn Kobasa: 1 shared paper
- Alan Cochrane and Alla Gagarinova: 1 shared paper
- Alan Cochrane and Frank Dehne: 1 shared paper
- Alex Wong and Edana Cassol: 1 shared paper
- Darwyn Kobasa and Alla Gagarinova: 1 shared paper
- Darwyn Kobasa and Frank Dehne: 1 shared paper
- Dindial Ramotar and Frank Dehne: 1 shared paper
- Dindial Ramotar and Ashkan Golshani: 1 shared paper
- Edana Cassol and Frank Dehne: 1 shared paper
- Alla Gagarinova and Frank Dehne: 1 shared paper
- Biology
- School of Computer Science
- Chemistry and Biochemistry
- Systems and Computer Engineering
- Microbiology and Infectious Diseases
- Department of Molecular Genetics
- Medicine/Oncology
- Other
Co-authors at Carleton University, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.
Ashkan Golshani
Biology
19 shared papers, latest 2026
Mohan Babu
Chemistry and Biochemistry
8 shared papers, latest 2025
Alex Wong
Biology
5 shared papers, latest 2019
James Green
Systems and Computer Engineering
2 shared papers, latest 2011
Taha Azad
Microbiology and Infectious Diseases
2 shared papers, latest 2025
Edana Cassol
Health Sciences
1 shared papers, latest 2017
Alla Gagarinova
Biology
1 shared papers, latest 2025
Alan Cochrane
Department of Molecular Genetics
1 shared papers, latest 2025
Darwyn Kobasa
Faculty
1 shared papers, latest 2025
Dindial Ramotar
Medicine/Oncology
1 shared papers, latest 2018
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