We like what we do
The Applied Artificial Intelligence Lab of the Computer Science Department at the University of Tehran was established with the mission of harnessing the transformative potential of Artificial Intelligence (AI) to address real-world challenges and drive impactful innovations across diverse industries. Our lab serves as a hub for advancing AI research, fostering collaboration, and translating cutting-edge theories into practical applications that benefit society.
Our story in a few words
We are committed to providing an enriching environment where students, researchers, and faculty members can explore the frontiers of AI. By combining academic excellence with industry-driven projects, the lab enables groundbreaking research and development in a broad spectrum of AI domains. Our vibrant research ecosystem encourages meaningful scientific and industrial collaborations, empowering our members to contribute to the global AI community.
Our Vision
Our vision is to be a leading center of excellence in Artificial Intelligence research, bridging the gap between academia and industry to address pressing societal needs. By nurturing talent and fostering innovation, we aim to shape the future of AI and its applications in ways that are ethical, sustainable, and impactful.
Collaborate With Us
The Applied AI Lab actively seeks partnerships with academia, industry, and government to tackle challenging AI problems and explore transformative opportunities. Whether you’re a researcher, student, or organization interested in collaborating, we welcome you to join us in our journey to redefine the boundaries of AI.
Our Fields of Research:
Personalization & Recommendation
Finance
Healthcare & Medicine
Cognitive & Human-Centered AI
Business & Management
Computer Vision & Perception
Security
Robotics and Autonomous Systems
Skills &
experience
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At the Applied Artificial Intelligence Lab, our team possesses a rich blend of skills and expertise that reflect our dedication to advancing Artificial Intelligence research and applications. Through diverse projects and collaborations, we have cultivated a strong foundation in both theoretical and applied AI, enabling us to tackle complex challenges across multiple domains.
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Core Skills
Technical Proficiency
Our team excels in a wide array of AI and machine learning skills, including:
Machine Learning & Deep Learning
Expertise in developing, training, and deploying state-of-the-art models using frameworks like TensorFlow, PyTorch, and Scikit-learn.
Data Science & Analytics
Proficiency in statistical modeling, data visualization, and exploratory data analysis to derive actionable insights from complex datasets.
Natural Language Processing (NLP)
Mastery of techniques for text understanding, sentiment analysis, machine translation, and large language models.
Computer Vision
Skilled in image processing, object detection, facial recognition, and video analytics.
Robotics & Control Systems
Expertise in autonomous systems, motion planning, and robot perception.
Recommender Systems
Building scalable personalization algorithms and adaptive systems for enhanced user experiences.
Optimization & Algorithms
Strong background in designing and implementing efficient algorithms for solving real-world problems.
AI for Security
Experience in threat detection, anomaly detection, and designing robust AI systems for secure applications.
We work with a range of cutting-edge tools and technologies, including:
Programming Languages: Python, R, MATLAB, C++, JavaScript
Frameworks: TensorFlow, PyTorch, Keras, OpenCV, Hugging Face
Cloud Platforms: AWS, Google Cloud, Microsoft Azure
Tools: Docker, Kubernetes, Apache Spark, Jupyter Notebooks
Databases: SQL, MongoDB, Neo4j, Elasticsearch
Experience
Our lab has a proven track record of:
Academic Research:
Publishing papers in top-tier AI conferences and journals, contributing to fields like reinforcement learning, multimodal AI, and ethical AI.
Industrial Collaborations:
Partnering with leading companies to apply AI solutions in healthcare, finance, and business analytics.
Interdisciplinary Projects:
Working across disciplines to integrate AI with cognitive science, human-computer interaction, and robotics.
Mentorship & Training:
Guiding undergraduate, graduate, and doctoral students in research projects, fostering the next generation of AI innovators.
Hackathons & Competitions:
Participating in and winning national and international AI and data science challenges.
Experience
Our Commitment
Our lab has a proven track record of:
Academic Research:
Publishing papers in top-tier AI conferences and journals, contributing to fields like reinforcement learning, multimodal AI, and ethical AI.
Industrial Collaborations:
Partnering with leading companies to apply AI solutions in healthcare, finance, and business analytics.
Interdisciplinary Projects:
Working across disciplines to integrate AI with cognitive science, human-computer interaction, and robotics.
Mentorship & Training:
Guiding undergraduate, graduate, and doctoral students in research projects, fostering the next generation of AI innovators.
Hackathons & Competitions:
Participating in and winning national and international AI and data science challenges.
With this extensive skill set and experience, the Applied AI Lab is committed to pushing the boundaries of innovation while maintaining the highest ethical standards. Our diverse expertise enables us to address challenges with creativity, precision, and a results-driven approach.
