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publications
Comparison of simulated annealing parallelization methods for quadratic assignment problems
Published in Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 2018
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Recommended citation: Selahattin Akkas, Kadir Kavaklioglu, "Comparison of simulated annealing parallelization methods for quadratic assignment problems." Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 2018.
A comparison of sales forecasting methods for a feed company: A case study
Published in Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 2018
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Recommended citation: Leyla Demir, Selahattin Akkas, "A comparison of sales forecasting methods for a feed company: A case study." Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 2018.
HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency
Published in In the proceedings of 2019 IEEE International Conference on Cluster Computing (CLUSTER), 2019
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Recommended citation: Bo Peng, Langshi Chen, Jiayu Li, Miao Jiang, Selahattin Akkas, Egor Smirnov, Ruslan Israfilov, Sergey Khekhnev, Andrey Nikolaev, Judy Qiu, "HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency." In the proceedings of 2019 IEEE International Conference on Cluster Computing (CLUSTER), 2019.
Streaming Machine Learning Algorithms with Big Data Systems
Published in In the proceedings of 2019 IEEE International Conference on Big Data (Big Data), 2019
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Recommended citation: Vibhatha Abeykoon, Supun Kamburugamuve, Kannan Govindrarajan, Pulasthi Wickramasinghe, Chathura Widanage, Niranda Perera, Ahmet Uyar, Gurhan Gunduz, Selahattin Akkas, Gregor Von, "Streaming Machine Learning Algorithms with Big Data Systems." In the proceedings of 2019 IEEE International Conference on Big Data (Big Data), 2019.
Twister2: Tset high-performance iterative dataflow
Published in In the proceedings of 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2019
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Recommended citation: Pulasthi Wickramasinghe, Supun Kamburugamuve, Kannan Govindarajan, Vibhatha Abeykoon, Chathura Widanage, Niranda Perera, Ahmet Uyar, Gurhan Gunduz, Selahattin Akkas, Geoffrey Fox, "Twister2: Tset high-performance iterative dataflow." In the proceedings of 2019 International Conference on High Performance Big Data and Intelligent Systems (HPBD&IS), 2019.
A fast video image detection using tensorflow mobile networks for racing cars
Published in In the proceedings of 2019 IEEE International Conference on Big Data (Big Data), 2019
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Recommended citation: Selahattin Akkas, Sahaj Maini, Judy Qiu, "A fast video image detection using tensorflow mobile networks for racing cars." In the proceedings of 2019 IEEE International Conference on Big Data (Big Data), 2019.
High-performance iterative dataflow abstractions in Twister2: TSet
Published in Concurrency and Computation: Practice and Experience, 2020
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Recommended citation: Pulasthi Wickramasinghe, Niranda Perera, Supun Kamburugamuve, Kannan Govindarajan, Vibhatha Abeykoon, Chathura Widanage, Ahmet Uyar, Gurhan Gunduz, Selahattin Akkas, Geoffrey Fox, "High-performance iterative dataflow abstractions in Twister2: TSet." Concurrency and Computation: Practice and Experience, 2020.
Rank Position Forecasting in Car Racing
Published in In the proceedings of 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021
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Recommended citation: Bo Peng, Jiayu Li, Selahattin Akkas, Takuya Araki, Ohno Yoshiyuki, Judy Qiu, "Rank Position Forecasting in Car Racing." In the proceedings of 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021.
Intel optane dcpmm and serverless computing
Published in arXiv preprint, 2021
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Recommended citation: Ahmet Uyar, Selahattin Akkas, Jiayu Li, Judy Fox, "Intel optane dcpmm and serverless computing." arXiv preprint arXiv:2109.11021 (2021)
JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning
Published in In the Companion Proceedings of the Web Conference 2022, 2022
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Recommended citation: Selahattin Akkas and Ariful Azad, "JGCL: Joint Self-Supervised and Supervised Graph Contrastive Learning." In the companion proceedings of the Web Conference 2022. 2022.
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values.
Published in Accepted as a conference paper at the ACM Web Conference 2024, 2024
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Recommended citation: Selahattin Akkas and Ariful Azad, "GNNShap: Scalable and Accurate GNN Explanation using Shapley Values." arXiv preprint arXiv:2401.04829 (2024)
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
High Performance Big Data Systems
Graduate course, Indiana University Bloomington, Luddy SICE, 2018
I was the Associate Instructor for this course for from Fall 2018 to Fall 2020 (5 semesters). I was responsible for the lab sessions. I also prepared instructions for Hadoop, Apache Spark, Tensorflow, Apache Storm.
Machine Learning for Signal Processing
Graduate course, Indiana University Bloomington, Luddy SICE, 2021
I was one of the Associate Instructors for this course. I was responsible for office hours for the first homework and the grading.
Deep Learning Systems
Graduate course, Indiana University Bloomington, Luddy SICE, 2021
I was the Associate Instructor of Deep Learning Systems. I was responsible for office hours, homeworks and the grading.