Department of Computer Engineering

The Department of Computer Engineering was established in 1988 at the Ferdowsi University of Mashhad to offer the Bachelor’s program. This program provides students with fundamental understanding of theories and principles of software and hardware systems. The program also focuses on applied areas of Computer Engineering such as networks, database systems and intelligent systems. Students can study either in Software or Computer Architecture Engineering.

The Master’s Program, established in 1995, attempts to train well-educated engineers in specific areas including Artificial Intelligence, Computer Architecture, Computer Networks and software Engineering.

In 2006, the first group of doctoral candidates were admitted to the Ph.D. program at the Department of Engineering. This department offers a research intensive environment for the candidates, expecting them to develop their scientific knowledge in a particular specialty and perform cutting edge research under the supervision of the faculty members. Students can continue their education in Software Engineering, Artificial Intelligent and Robotics at this level.  More

Head of the Department of Computer Engineering
Saeid_Abrishami
Saeid Abrishami
Associate Professor
Department of Computer Engineering
s-abrishami@um.ac.ir
+985138806060

Concentration areas offered by the Department of Computer Engineering
Areas Bachelor's Master's Ph.D
Software
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Artificial Intelligence and Robotics
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Hardware Systems
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Computer Networks
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Academic staff

Saeid Abrishami
Assistant Professor
Haleh Amintoosi
Assistant Professor
Saeed Araban
Assistant Professor
Mohsen Asadi
Assistant Professor
Behshid Behkamal
Assistant Professor
F Ensan
Assistant Professor
Sara Ershadi Nasab
Assistant Professor
Ehsan Fazl-ersi
Assistant Professor
Abbas Ghaemi Bafghi
Associate Professor
Kamaledin Ghiasi Shirazi
Assistant Professor
Ahad Harati
Associate Professor
Seyed Amin Hosseini Seno
Associate Professor
Mohsen Kahani
Professor
Amirhossein Mohajerzadeh
Assistant Professor
Reza Monsefi
Professor
Hamid Noori
Assistant Professor
Mostafa Nouri Baygi
Assistant Professor
Samad Paydar
Assistant Professor
Hamid Reza Pourreza
Professor
Abbas Rasoolzadegan
Associate Professor
Modjtaba Rouhani
Associate Professor
Hadi Sadoghi Yazdi
Professor
Abdorreza Savadi
Assistant Professor
Yasser Sedaghat
Assistant Professor
Amir Hossein Taherinia
Associate Professor
Abedin Vahedian Mazloum
Associate Professor
Mohammad Hossein Yaghmaee Moghaddam
Professor
Mariam Zomorodi-moghadam
Assistant Professor

Research

Recent books

Naghibzadeh, M. (2024). From City of Purple Flowers to City of Angels.

Recent journal articles

Pourreza, H. (2024). Deep Learning Approaches on Image Captioning: A Review. ACM Computing Surveys, 56 (3), 1-39.
Nikooghadam, M., Amintoosi, H. (2024). REACH: Robust Efficient Authentication for Crowdsensing-based Healthcare. Journal of Supercomputing, 80 (6), 8434-8468.
Mahmoodabadi, Z., & Nouri Baygi, M. (2024). An approximation algorithm for virtual machine placement in cloud data centers. Journal of Supercomputing, 80 (1), 915-941.
Rouhani, M., Sadoghi Yazdi, H. (2024). Correntropy-Based Constructive One Hidden Layer Neural Network. Algorithms, 17 (1), 49-49.
Irankhah, A., Yaghmaee Moghaddam, M., & Ershadi Nasab, S. (2024). Optimized short-term load forecasting in residential buildings based on deep learning methods for different time horizons. Journal of Building Engineering, 84 (), 108505-108505.
Sanati, S., Rouhani, M., & Abed Hodtani, G. (2024). Performance Comparison of Different HTM-Spatial Pooler Algorithms Based on Information-Theoretic Measures. Neural Processing Letters, 56 (2), -.
Mohammadi, R., Moradi, M., Naghibzadeh, M. (2024). Efficient Motif Discovery in Protein Sequences Using a Branch and Bound Algorithm. IEEE Journal of Biomedical and Health Informatics, 28 (4), 2437-2444.
Ghanizadeh, A., Ghiasi Shirazi, K., Monsefi, R., & Mohammadnia Qaraei, M. (2024). Neural Generalization of Multiple Kernel Learning. Neural Processing Letters, 56 (1), -.
Nik Khorasani, A., Mehrizi, A., & Sadoghi Yazdi, H. (2024). Robust hybrid learning approach for adaptive neuro-fuzzy inference systems. Fuzzy Sets and Systems, 481 (1), 108890-108905.
Namakin, M., Rouhani, M. (2024). A Multi-objective Feature Selection Method Considering the Interaction Between Features. Information Systems Frontiers, (), -.
Riahi, A., & Naghibzadeh, M. (2024). Many-BSP: an analytical performance model for CUDA kernels. Computing, 106 (5), 1519-1555.
Sobouti, M., Alaghehband, A., Chitsaz, H., Hosseini Seno, S., Vahedian Mazloum, A. (2024). Efficient Fuzzy-Based 3-D Flying Base Station Positioning and Trajectory for Emergency Management in 5G and Beyond Cellular Networks. IEEE Systems Journal, 18 (2), 814-825.
Barani, F., & Sadoghi Yazdi, H. (2024). A distributed learning based on robust diffusion SGD over adaptive networks with noisy output data. Journal of Parallel and Distributed Computing, 190 (), 104883-104894.
Mahdizadeh, S., & Abrishami, S. (2024). An assignment mechanism for workflow scheduling in Function as a Service edge environment. Future Generation Computer Systems, 157 (), 543-557.
Yaghmaee Moghaddam, M. (2024). Incentive-Based Demand Response Program for Blockchain Network. IEEE Systems Journal, 18 (1), 134-145.
Hosseinpour Moghaddam, M., & Yaghmaee Moghaddam, M. (2024). Quality-of-Experience-Aware Computation Offloading in MEC-Enabled Blockchain-Based IoT Networks. IEEE Internet of Things Journal, 11 (8), 14483-14493.
Ghiasi Shirazi, K., Ghandi, T., Taghizadeh, A., & Rahimi Baigi, S. (2024). Revisiting 2–3 red–black trees with a pedagogically sound yet efficient deletion algorithm: parity-seeking. Acta Informatica, 61 (3), 199-229.
Pilevarmoakhar, S., & Abrishami, S. (2024). An efficient mechanism for function scheduling and placement in function as a service edge environment. Journal of Network and Computer Applications, 226 (1), 103890-103902.
Safavi Koohsareh, S., Hosseini Seno, S. (2024). An Adaptive Cell Switch Off framework to Increase Energy Efficiency in Cellular Networks. Wireless Personal Communications, 135 (4), 2011-2037.
Talebzadeh, A., & Rasoolzadegan, A. (2024). Evaluating Developers’ Expertise in Serverless Functions by Mining Activities from Multiple Platforms. Journal of Computer and Knowledge Engineering, (), -.
Purfallah Mazremolla, Z., & Rasoolzadegan, A. (2024). An effective failure detection method for microservice-based systems using distributed tracing data. Engineering Applications of Artificial Intelligence, 133 (), 108558-108582.
Alhaj Ahmad, H., & Sedaghat, Y. (2024). BiGResi: Robust bit-level fault injection framework for assessing intrinsic software resilience against soft errors. Computers and Electrical Engineering, 116 (1), 109222-17.
Esmaieli Sartakhti, E., Peiravi, A., & Sedaghat, Y. (2024). An Effective Fanout-Based Method for Improving Error Propagation Probability Estimation in Combinational Circuits. IEEE Access, 12 (1), 35172-35183.
Alhaj Ahmad, H., & Sedaghat, Y. (2024). An automated framework for selectively tolerating SDC errors based on rigorous instruction-level vulnerability assessment. Future Generation Computer Systems, 157 (1), 392-407.
Shokrani Baigi, A., & Naghibzadeh, M. (2024). A high-performance dynamic scheduling for sparse matrix-based applications on heterogeneous CPU–GPU environment. Journal of Supercomputing, 80 (17), 25071-25098.
Sharif, S., Yaghmaee Moghaddam, M., & Hosseini Seno, S. (2024). A hybrid Bi-level management framework for caching and communication in Edge-AI enabled IoT. Journal of Network and Computer Applications, 232 (), 104000-104025.
Alizadeh Noughabi, H., Behkamal, B., & Kahani, M. (2024). Description-based Post-hoc Explanation for Twitter List Recommendations. Journal of Computer and Knowledge Engineering, (), -.
Khorasani, N., Ramezani, F., Taheri, H., Mohammadi, N., Khoshdel, P., Taghavi, B., Abrishami, S., & Rasoolzadegan, A. (2024). Cloud Broker: A Systematic Mapping Study. IEEE Transactions on Services Computing, 17 (5), 2989-3005.
Bozorg Zadeh Razavi, S., Amintoosi, H., & Allahbakhsh, M. (2024). A clarity and fairness aware framework for selecting workers in competitive crowdsourcing tasks. Computing, 106 (9), 3005-3030.
Nayerifard, T., Amintoosi, H., & Ghaemi Bafghi, A. (2024). A robust PRNU-based source camera attribution with convolutional neural networks. Journal of Supercomputing, 81 (1), -.
Mehrizi, A., & Sadoghi Yazdi, H. (2024). Enhancing multi-target tracking stability using knowledge graph integration within the Gaussian Mixture Probability Hypothesis Density Filter. Multimedia Tools and Applications, 82 (1), 1-23.
Irankhah, L., Naghibzadeh, M. (2024). Analyzing the performance of short-read classification tools on metagenomic samples toward proper diagnosis of diseases. Journal of Bioinformatics and Computational Biology, 22 (5), -.
Esmaieli Sartakhti, E., Sedaghat, Y., & Peiravi, A. (2024). Fanout-Based Reliability Model for SER Estimation in Combinational Circuits. IEEE Transactions on Circuits and Systems Part I: IRegular Papers, 72 (1), 228-240.
Akbari, M., Pourreza, H., & Ramezani Kalate Shadi, F. (2024). FARFUM-RoP, A dataset for computer-aided detection of Retinopathy of Prematurity. Scientific Data, 11 (1), -.
Naghibzadeh, M. (2024). پیش بینی کارآیی برنامه های منظم کودا ازطریق روشهای یادگیری ماشین. , (), -.
Soltani, M., Hosseini Seno, S. (2024). Optimizing SDN resource allocation using fuzzy logic and VM mapping technique. Computing, 107 (1), -.
Sadoghi Yazdi, H., Ashkezari-toussi, S., & Ramezanzadeh Yazdi, A. (2024). Preserving data distribution in sampling and instance selection with Renyi’s divergence. Knowledge and Information Systems, 67 (1), 549-578.
Sobouti, M. (2024). Utilizing UAVs in Wireless Networks: Advantages, Challenges, Objectives, and Solution Methods. Vehicles, 6 (4), 1769-1800.
Sobouti, M., Miraghajanian, S. (2024). Cooperative High-Rate and Low-Latency Transmission, Employing Two-Tier Narrow-Band Internet-of-Things and Bluetooth Low-Energy Networks. IEEE Open Journal of the Communications Society, 5 (), 6135-6149.
Al-saffar, A., Nouri Baygi, M. (2024). Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning. Journal of Big Data, 11 (1), -.
Al-saffar, A., Nouri Baygi, M. (2024). Enhancing Intrusion Detection Systems with Dimensionality Reduction and Multi-Stacking Ensemble Techniques. Algorithms, 17 (12), 550-573.

Recent theses and dissertations


Recent research projects


Contact Information

Iran, Mashhad, Azadi Square, Ferdowsi University of Mashhad

Faculty of Engineering, Department of Computer Engineering

Phone: +985138806059

Fax: +985138763306

Postal code: 9177948974