In the proceesings of the International Conference on Information Systems Security (ICISS), 2021.
Citation:
Sina Mahdipour Saravani, Indrajit Ray, Indrakshi Ray. (2021). "Automated Identification of Social Media Bots using Deepfake Text Detection." Proceedings of the International Conference on Information Systems Security.
Download here: https://link.springer.com/chapter/10.1007/978-3-030-92571-0_7
In the proceedings of the second EMNLP workshop on Insights from Negative Results in NLP, 2021.
Citation:
Sina Mahdipour Saravani, Ritwik Banerjee, and Indrakshi Ray. (2021). "An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification." In Proceeding of the Second Workshop on Insights from Negative Results in NLP (EMNLP 2021 Workshop).
Download here: https://aclanthology.org/2021.insights-1.15.pdf
In the proceedings of the 29th International Conference on Computational Linguistics, 2022.
Citation:
Nath, Abhijnan, Sina Mahdipour Saravani, Ibrahim Khebour, Sheikh Mannan, Zihui Li, and Nikhil Krishnaswamy. "A generalized method for automated multilingual loanword detection." In Proceedings of the 29th International Conference on Computational Linguistics, pp. 4996-5013. 2022.
Download here: https://aclanthology.org/2022.coling-1.442.pdf
In the proceedings of Advances in Quantitative Ethnography: 4th International Conference, ICQE 2022, Copenhagen, Denmark, October 15–19, 2022.
Citation:
Saravani, Sina Mahdipour, Sadaf Ghaffari, Yanye Luther, James Folkestad, and Marcia Moraes. "Automated Code Extraction from Discussion Board Text Dataset." In International Conference on Quantitative Ethnography, pp. 227-238. Cham: Springer Nature Switzerland, 2022.
Download here: https://link.springer.com/chapter/10.1007/978-3-031-31726-2_16
In the proceedings of the 38th ACM International Conference on Supercomputing, ICS 2024, Kyoto, Japan, June 04–07, 2024.
Citation:
Li, Chendi, Yufan Xu, Sina Mahdipour Saravani, and Ponnuswamy Sadayappan. "Accelerated Auto-Tuning of GPU Kernels for Tensor Computations." In Proceedings of the 38th ACM International Conference on Supercomputing, pp. 549-561. 2024.
Download here: https://dl.acm.org/doi/pdf/10.1145/3650200.3656626
Published:
After 4 weeks of research on the subject, I presented the gathered information.
Mainly based on Ismat Chaib Draa et al., “Sensing user context and habits for run-time energy optimization”. EURASIP journal on Embedded Systems, Springer, 2016.
Published:
Based on Ian J. Goodfellow et al., “Generative Adversarial Nets”. (Department of Computer Science and Operations Research, University of Montreal), IJCA Journal, Vol. 119, Number 18, 2015.
Published:
Based on Herve Abdi, “Linear Algebra for Neural Networks”. School of Human Development, The University of Texas at Dallas.
Undergraduate course, Department of Computer Engineering and Information Technology, Amirkabir University of Technology, 2018
Embedded and Real-Time Systems course taught by Dr. Hamed Farbeh, Fall 2018.
Cross-listed in Undergraduate and Graduate courses, Department of Computer Science, University of Nevada, Las Vegas, 2020
Data Mining course taught by Dr. Kazem Taghva, Spring 2020.
Undergraduate course, Department of Computer Science, University of Nevada, Las Vegas, 2020
I taught the Computer Science II (CS202) course in Summer 2020. I had the opportunity to teach 24 students in my class. The course served as a second introduction to Computers and highly focused on teaching students about more advanced topics in programming.
Graduate course, Department of Computer Science, Colorado State University University, 2022
Fault Tolerant Computing (CS 530) course taught by Dr. Yashwant Malaiya, Spring 2022.