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
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Saeid Abrishami |
| Associate Professor | |
| Department of Computer Engineering |
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| s-abrishami@um.ac.ir |
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| +985138806060 |
| 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
Research
Recent books
Recent journal articles
Ekramifard, A., Amintoosi, H., & Hosseini Seno, S. (2025). Detection of Membership Inference Attacks on GAN models. ISeCure, 17 (1), 1-1.
Abughirbn, B., Taherinia, A., Sadoghi Yazdi, H., & Harati, A. (2025). CSRWA: Covert and Severe Attacks Resistant Watermarking Algorithm. Computers, Materials and Continua, 82 (1), 1027-1047.
Mehravaran, Z., & Harati, A. (2025). Feature selection by utilizing kernel-based fuzzy rough set and entropy-based non-dominated sorting genetic algorithm in multi-label data. Knowledge and Information Systems, 67 (4), 3789-3819.
Yarifard, A., Araban, S., Paydar, S. (2025). Extraction and empirical evaluation of GUI-level invariants as GUI Oracles in mobile app testing. Information and Software Technology, 177 (), 107531-107649.
Naghibzadeh, M. (2025). Optimizing Geo-Distributed Data Processing with Resource Heterogeneity over the Internet. ACM Transactions on Internet Technology, 25 (1), 1-28.
Alhwayzee, A., Araban, S. (2025). A Robust Recommender System Against Adversarial and Shilling Attacks Using Diffusion Networks and Self-Adaptive Learning. Symmetry, 17 (2), 233-254.
Shirshekardo, M., Taherinia, A., ., ., . (2025). A new morphological classification of keratoconus using few-shot learning in candidates for intrastromal corneal ring implants. Journal of Biomedical Signal Processing and Control, 106 (1), 107664-107664.
Sadeghi Lotfabadi, A., & Ghiasi Shirazi, K. (2025). Speeding up L-BFGS by direct approximation of the inverse Hessian matrix. Computational Optimization and Applications, 91 (1), 283-310.
Fazaeli Javan, M., Monsefi, R., & Ghiasi Shirazi, K. (2025). Hard-Positive Prototypical Networks for Few-Shot Classification. IEEE Access, 13 (), 41054-41067.
Ershadi Nasab, S. (2025). Automated classification of thyroid disease using deep learning with neuroevolution model training. Engineering Applications of Artificial Intelligence, 146 (146), 110209-110222.
Mehrizi, A., & Sadoghi Yazdi, H. (2025). Distributed Learning Framework for Multi-timeframe Data Modelling in Financial Multi-step Forecasting. Emerging Markets Finance and Trade, 61 (9), 2877-2894.
Jalali, F., Khademi, M., Ebrahimi Moghadam, A., & Sadoghi Yazdi, H. (2025). Robust scene aware multi-object tracking for surveillance videos. Neurocomputing, 638 (), 130114-.
Shokrani Baigi, A., & Naghibzadeh, M. (2025). Optimizing sparse matrix partitioning in a heterogeneous CPU-GPU system for high-performance. Computing, 107 (4), -.
Mirzaie, M., Behkamal, B., Allahbakhsh, M., Paydar, S. (2025). Ada-Context: adaptive context-aware grid-based approach for curation of data streams. Data Mining and Knowledge Discovery, 39 (3), -.
Safavi Koohsareh, S., Hosseini Seno, S., & Mohajerzadeh, A. (2025). روشی برای بیشینه سازی بهره وری مالی بسته های اینترنت اپراتورهای تلفن همراه. , 13 (52), 163-188.
Mehravaran, Z., Ghanizadeh, A., & Harati, A. (2025). Dempster-shafer deep capsule attention model (DDCAM). Multimedia Tools and Applications, 84 (35), 43523-43551.
Ghanaei, Z., & Rouhani, M. (2025). A context aware multiclass loss function for semantic segmentation with a focus on intricate areas and class imbalances. Scientific Reports, 15 (1), -.
Zare Soltani, M., Hosseini Seno, S., & Mohajerzadeh, A. (2025). Efficient dynamic load balancing in software-defined networks using policy gradient: a strategy for enhanced QoS and reduced energy consumption. Computing, (), -.
Sadeghi Lotfabadi, A., & Ghiasi Shirazi, K. (2025). ارائه ی یک روش بهینه سازی شبه نیوتون با حافظه ی محدود و قابلیت ارا به صورت موازی. , 15 (1), 78-91.
Al-edhari, A., & Kahani, M. (2025). LughaNet: Automated Arabic WordNet Construction and Evaluation Using Semantic Question Similarity. Journal of Soft Computing and Data Mining, 6 (1), 107-126.
Shafinezhad, N., Abrishami, H., Zolfaghari, B., Abrishami, S., & Morvaridi, A. (2025). Workflow ensemble scheduling in IaaS cloud: a gap analysis perspective under deadline and budget constraints. Journal of Supercomputing, 81 (11), -.
Zolfaghari, B., Abrishami, S., Rasoolzadegan, A. (2025). Dynamic Function Placement and Request Scheduling of Serverless Workflows in Edge Environment. IEEE Transactions on Services Computing, 18 (5), 2781-2793.
Forouzan, A., & Sadoghi Yazdi, H. (2025). Elastic matching through the lens of probability and divergence in time series prediction. Pattern Analysis and Applications, 28 (3), -.
Al Itbi, Z., Hosseini Seno, S., Ghaemi Bafghi, A. (2025). A Generalized and Real-Time Network Intrusion Detection System Through Incremental Feature Encoding and Similarity Embedding Learning. Sensors, 25 (16), 4961-4984.
Pourreza, H. (2025). Defect detection in 3D printing: a review of image processing and machine vision techniques. International Journal of Advanced Manufacturing Technology, 140 (), 2103-2128.
Zirak, M., Sedaghat, Y., & Yaghmaee Moghaddam, M. (2025). RPL-TSCH cross-layer design for improve quality of service in LLNs of IIoT. Ad Hoc Networks, 174 (1), 103843-103843.
Valizadeh, P., Yaghmaee Moghaddam, M., & Sedaghat, Y. (2025). Reliability and bandwidth aware routing in SDN-based fog computing for IoT applications. Ad Hoc Networks, 172 (1), 103803-103803.
Ershadi Nasab, S., Bayati, D., & Yazdani, S. (2025). Efficient Implementation of DVI Protocol on FPGA. Journal of Computer and Knowledge Engineering, (), -.
Hosseini Seno, S. (2025). Optimal task offloading policy in vehicular fog networks based on software-defined networking using deep reinforcement learning. Journal of Supercomputing, 81 (15), -.
Hayder, N., Hosseini Seno, S., Noori, H. (2025). IMPROVED DDOS ATTACK DETECTION-BASED FEATURE SELECTION BY USING GRAPH CONVOLUTIONAL NETWORK-TRANSFORMER MODEL. Operational Research in Engineering Sciences: Theory and Applications, 8 (2), 22-46.
Jeryo, M., & Harati, A. (2025). Learning Domain-Invariant Representations for Event-Based Motion Segmentation: An Unsupervised Domain Adaptation Approach. Journal of Imaging, 11 (11), 377-408.
Bameri, F., Pourreza, H. (2025). Video Anomaly Detection With Probabilistic Modelling and Ensemble Learning on Deep Spatiotemporal Features. IET Image Processing, 19 (1), -.
Allahbakhsh, M. (2025). Reinforcement Learning-based Secure Communications over MIMO Interference Channels. IEEE Transactions on Vehicular Technology, (), -.
Hayder, N., Hosseini Seno, S., Noori, H. (2025). A Multi-Scale Graph Neural Networks Ensemble Approach for Enhanced DDoS Detection. Computers, Materials and Continua, 0 (0), -.
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