Hi! This is Seyed Amir Bidaki's personal website
Computer Scientist specializing in artificial intelligence, machine learning, and deep learning. I build scalable AI models and conduct research in continual learning, computer vision, and neuroimaging — bridging rigorous science with real-world engineering for industry.
Research Interests
Exploring the boundaries of artificial intelligence and machine learning
Continual Learning
Building models that learn new tasks sequentially without catastrophic forgetting — my core research area, including online continual learning strategies, benchmarks, and evaluation protocols.
Deep Learning
Designing and analyzing neural network architectures and training strategies, with a focus on transfer learning and feature fusion across spatial and frequency domains.
Computer Vision
Medical image analysis including brain tumor classification and segmentation from MRI, combining CNNs, transfer learning, and wavelet-enhanced features.
Neuroimaging
Applying continual learning to neuroimaging tasks such as tumor segmentation, modality registration, and disease classification, with standardized benchmarks.
Pattern Recognition
Statistical and learning-theoretic foundations of recognition systems, from classical methods to modern deep representations.
Multimodal Learning
Emotion recognition through speech processing and virtual reality, integrating affective computing with multimodal frameworks.
Experience
Industry, research, and teaching roles
Cognitive Modeler & R&D Specialist
Cognitive Sciences and Technologies Institution
Jan 2025 — Present
Developing cognitive models and conducting R&D in AI-driven cognitive science systems.
Research Assistant
University of Guilan & I.A University Karaj branch
Sep 2023 — Present
Conducting research in continual learning, computer vision, and neuroimaging. Led a systematic review of 2,000+ publications (under review at Neural Networks, Elsevier).
Network & IT Specialist / Software Developer
Freelance
Jan 2022 — Present
Delivering software development, network infrastructure, and IT solutions for diverse clients across multiple industries.
Computer Laboratory Manager
Faculty of Mathematical Science, University of Guilan
Jan 2024 — Dec 2024
Maintained, updated, and troubleshot network and software infrastructure of laboratory computers.
Teacher - AI, Algorithm Design & Python
Pajoohan Complex, Karaj
Jan 2024 — Jan 2026
Teaching AI fundamentals, Algorithm Design, and Python Programming.
Teaching Assistant
University of Guilan
Sep 2022 — Dec 2024
TA for Computer Principles & Programming, Advanced Programming, Principles of Computer Systems, AI, Design & Analysis of Algorithms.
Featured Projects
Selected work in AI, deep learning, and systems engineering
Brain Tumor Classification with Wavelet-Enhanced Transfer Learning
MRI-based brain tumor classification using dual ResNet networks and spatial-frequency feature fusion.
Online Continual Learning Survey & Benchmarks
Systematic review of 2,000+ papers defining the landscape of online continual learning.
Speech & VR-Based Emotion Recognition
Multimodal emotion recognition combining speech processing and virtual reality environments.
Intrusion Detection via Continual Learning
Adaptive network intrusion detection that evolves with new cyber threats without forgetting.
Recent Publications
Peer-reviewed research and preprints
Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks
Seyed Amir Bidaki, et al.
Neural Networks (Elsevier) · 2025
Continual Learning in Neuroimaging: A Comprehensive Survey and Benchmark Study
Seyed Amir Bidaki, et al.
In preparation · 2025
Intrusion Detection by Leveraging Online Continual Learning
Seyed Amir Bidaki, et al.
In preparation · 2025
Let's Collaborate
Interested in research collaboration, consulting, or just want to connect? I'd love to hear from you.