Ashkan Sami
ashkan sami

Prof Ashkan Sami

  

Biography

Prof. Ashkan Sami, a faculty member in the Computer Science department at Edinburgh Napier University with an emphasis on Software Engineering, is dedicated to the use of foundation models for solving research problems in a broad spectrum of disciplines, including Software Engineering, medicine, and engineering.

In his academic journey, Prof. Sami has engaged in wide range of interdisciplinary and transdisciplinary research, striving to contribute meaningfully to these areas. His efforts have led to publications in respected journals and presentations at notable conferences. Prof. Sami has been honored with several national awards in industrial and applied research, acknowledging his contributions to the field.

From 2015 to 2020, Ashkan embraced the entrepreneurial world, leading his startup company. This experience has enriched his perspective in both academia and industry.

His work has gained media attention, including features in the BBC, The Register, and Stack Overflow team blogs, as well as international news outlets in China, Japan, Germany, and Spain.

Prof. Sami's academic achievements are distinguished by a Ph.D. from Tohoku University in Japan, obtained in 2006, which led to a significant research grant from MEXT and an assistant professorship at the university. His educational background also includes an M.Sc. in AI and Robotics from Shiraz University (1996) and a B.Sc. from Virginia Tech (1991).

Date


23 results

Reputation Gaming in Crowd Technical Knowledge Sharing

Presentation / Conference Contribution
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (2025, April)
Reputation Gaming in Crowd Technical Knowledge Sharing. Presented at IEEE/ACM International Conference on Software Engineering (ICSE 2025), Ottawa, Ontario, Canada
Stack Overflow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulatio...

Dementia Friendly Buildings—Approach on Architectures

Journal Article
Ghamari, M., Suvish, Dehkordi, A. A., See, C. H., Sami, A., Yu, H., & Sundaram, S. (2025)
Dementia Friendly Buildings—Approach on Architectures. Buildings, 15(3), Article 385. https://doi.org/10.3390/buildings15030385
Dementia’s escalating incidence, coupled with its economic burden, highlights the need for architectural designs and forms that benefit people living with dementia. This resea...

Reputation Gaming in Crowd Technical Knowledge Sharing

Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (2025)
Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology, 34(1), Article 10. https://doi.org/10.1145/3691627
Stack Overrow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation...

Iterative Speech Enhancement with Transformers

Presentation / Conference Contribution
Nazemi, A., Sami, A., Sami, M., & Hussain, A. (2024, September)
Iterative Speech Enhancement with Transformers. Presented at 3rd COG-MHEAR Workshop on Audio-Visual Speech Enhancement (AVSEC), Kos, Greece
Enhancing audio quality in audio-video speech enhancement (AVSE) is a crucial step in improving the performance of speech recognition systems, particularly by integrating visu...

A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings

Presentation / Conference Contribution
Nazemi, A., Sami, A., Sami, M., & Hussain, A. (2024, September)
A Framework for Speech Enhancement based on Audio Signal and Speaker Embeddings. Presented at 3rd COG-MHEAR Workshop on Audio-Visual Speech Enhancement (AVSEC), Kos Island, Greece
This study addresses the challenge of speech enhancement within an audio-only context. Our proposed framework extracts speaker embeddings and voice signals, subsequently integ...

Investigating Markers and Drivers of Gender Bias in Machine Translations

Presentation / Conference Contribution
Barclay, P., & Sami, A. (2024, March)
Investigating Markers and Drivers of Gender Bias in Machine Translations. Presented at IEEE International Conference on Software Analysis, Evolution and Reengineering, Rovaniemi, Finland
Implicit gender bias in Large Language Models (LLMs) is a well-documented problem, and implications of gender introduced into automatic translations can perpetuate real-world ...

A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing

Conference Proceeding
Benzaïd, C., Taleb, T., Sami, A., & Hireche, O. (2024)
A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (4747-4753). https://doi.org/10.1109/globecom54140.2023.10436891
Network slicing is recognized as a key enabler for 5G and beyond (B5G) services. However, its dynamic nature and the growing sophistication of DDoS attacks put it at risk of E...

A case study of fairness in generated images of Large Language Models for Software Engineering tasks

Conference Proceeding
Sami, M., Sami, A., & Barclay, P. (2023)
A case study of fairness in generated images of Large Language Models for Software Engineering tasks. In 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME). https://doi.org/10.1109/icsme58846.2023.00051
Bias in Large Language Models (LLMs) has significant implications. Since they have revolutionized content creation on the web, they can lead to more unfair outcomes, lack of i...

CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics

Journal Article
Feizpour, E., Tahayori, H., & Sami, A. (2023)
CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics. Journal of Software: Evolution and Process, 35(12), Article e2569. https://doi.org/10.1002/smr.2569
Software development effort estimation (SDEE) is a critical activity in developing software. Accurate effort estimation in the early phases of software design life cycle has i...

Application of deep learning in generating structured radiology reports: a transformer-based technique

Presentation / Conference Contribution
Moezzi, A., Rahmanian, M., Ghaedi, A., Mousavi, S. Z., & Sami, A. (2023, March)
Application of deep learning in generating structured radiology reports: a transformer-based technique. Paper presented at European Congress of Radiology 2023, Vienna

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