01
Self-Supervised & Representation Learning
Learning meaningful, transferable representations from unlabeled data — self-supervised paradigms, contrastive learning, and models that discover structure without extensive annotation.
Open to M.Sc. / PhD positions2026
MehrnooshYaghoubi Kalourazi
Computer Science ResearcherUniversity of Guilan
I am a Computer Science graduate working at the intersection of machine learning, artificial intelligence and computer vision. My background is in computational intelligence and algorithm design, and my work focuses on building models that are rigorous enough to be trusted and simple enough to be understood.
- Degree
- B.Sc. Computer Science
- Conferred
- 2025
- Honour
- Abrishamchian Award
- Seeking
- M.Sc. / PhD position
Machine LearningArtificial IntelligenceComputer Vision
Research02Areas of interest
Research
The questions I want to spend the next several years on, and the methods I reach for first.
02
Computer Vision & Image Processing
Deep learning for visual understanding, image representation and compression, feature extraction, and efficient processing of visual information.
03
Continual & Lifelong Learning
Systems that acquire new knowledge over time while retaining what they already know — catastrophic forgetting, knowledge retention and adaptive, generalisable learning.
04
Machine Consciousness & Cognitive AI
Computational perspectives on consciousness, self-awareness and metacognition, and whether computational models can exhibit higher-level cognition.
03Degree & coursework
Education
A curriculum covering the core of computer science with an emphasis on machine learning, artificial intelligence, algorithms and computational intelligence.
Graduated2021 — 2025
B.Sc. in Computer Science
University of Guilan
- 0.00 / 2019.23 / 20
- Cumulative GPA
- 0136
- Credits completed
- 022
- Perfect scores below
- 032
- Courses listed below
Selected coursework
These are some of the courses I passed — a selection of the major, mathematics and research-relevant coursework. It is not the full transcript: in total I completed 136 credits, and general-education requirements are not listed here.
| Instructor | |||
|---|---|---|---|
| Advanced Programming | Dr. Sadegh Eskandari | 4 | 20.00 |
| Artificial Intelligence | Dr. Sadegh Eskandari · Dr. Amirhossein Tabatabaei | 4 | 19.88 |
| Calculus I | Dr. Mohammad Akbari Tootkaboni | 3 | 18.00 |
| Calculus II | Dr. Marzieh Shams Yousefi | 3 | 20.00 |
| Computer Networks | Dr. Amirhossein Tabatabaei | 3 | 20.00 |
| Computer Workshop I | Dr. Amirhosein Refahi | 1 | 20.00 |
| Computerised Simulation | Dr. Amirhossein Tabatabaei | 3 | 20.00 |
| Data Structures and Algorithms | Dr. Farshid Mehrdoust | 4 | 17.75 |
| Database Systems | Dr. Sadegh Eskandari | 4 | 20.00 |
| Design & Analysis of Algorithms | Dr. Ali Jamalian | 3 | 19.75 |
| Differential Equations | Dr. Mozhgan Akbari | 3 | 20.00 |
| Final Project | Dr. Sadegh Eskandari | 3 | 20.00 |
| Foundations of Matrices and Linear Algebra | Dr. Ahmad Abbasi | 3 | 20.00 |
| Foundations of Numerical Analysis | Dr. Mehran Taghipour | 3 | 20.00 |
| Introduction to Computer & Programming | Dr. Maryam Seifoddini | 3 | 20.00 |
| Introduction to Data Mining | Dr. Mohammad Kazemi | 3 | 19.00 |
| Introduction to Logic and Set Theory | Dr. Sanaz Lamei | 3 | 19.50 |
| Introduction to Probability | Dr. Mohammad Mohammadi Chelikdani | 3 | 20.00 |
| Learning Theory | Dr. Sadegh Eskandari | 3 | 20.00 |
| Linear Optimisation | Dr. Mehri Bagherian | 3 | 20.00 |
| Non-linear Optimisation | Dr. Saeed Ketabchi | 3 | 19.00 |
| Numerical Linear Algebra | Dr. Davod Khojasteh Salkuyeh | 3 | 20.00 |
| Physics I | Dr. Nasibe Alipour Rad | 3 | 20.00 |
| Principles of Computational Intelligence | Dr. Ali Jamalian | 3 | 19.50 |
| Principles of Computer Systems | Dr. Sadegh Eskandari | 4 | 20.00 |
| Principles of Operating Systems | Dr. Ali Jamalian | 4 | 19.25 |
| Principles of Software Design | Dr. Zahra Aliniya | 4 | 20.00 |
| Probability I | Dr. Mohammad Kazemi | 3 | 20.00 |
| Research Method & Documentation | Dr. Reza Zarei | 2 | 20.00 |
| Statistical Methods | Dr. Majid Chahkandi | 3 | 20.00 |
| Theory of Computation | Dr. Hashem Saberi Najafi | 3 | 17.00 |
| Topics in Computer Science | Dr. Sadegh Eskandari | 3 | 20.00 |
32 / 32 listed courses100 credits shown of 136 completed
04Distinction
Awards
Recognition from outside the department, where the comparison set is the whole university.
University of Guilan
Ranked 1st in Computer Science
Graduated ranked first among the Computer Science students in my cohort.
- 1st
- Class rank
National Elites Foundation of Guilan, Iran
Abrishamchian Award
A prestigious distinction granted by the National Elites Foundation of Guilan, Iran. The award is presented to only nine students across the entire University of Guilan, which has approximately 18,000 students across all academic disciplines. Remarkably, only three of the nine recipients are undergraduate students — I was selected as one of those three, placing me among the most distinguished students at my university.
- 9
- Recipients university-wide
- 3
- Undergraduates among them
- ≈18,000
- Students at the university
05Selected work
Projects
Research and engineering work, with the method and the result stated plainly.
FeaturedProduct2024 — present
Mehroban — Integrated Digital Healthcare Super-App
Role — Co-founder & Front-End Developer
Co-founded and developed an integrated digital healthcare platform that connects patients, healthcare professionals, pharmacies, and medical centres within a unified ecosystem. The platform streamlines the healthcare journey through healthcare provider discovery, online consultations, appointment scheduling, secure messaging, electronic prescription management, pharmacy ordering, and location-based access to healthcare services. It also provides dedicated dashboards and management tools for healthcare professionals, pharmacies, and medical centres, supporting collaboration, patient management, and digital service delivery. I lead front-end development, contributing to application architecture, UI/UX implementation, design system development, reusable component libraries, and the implementation of a fully localized right-to-left (RTL) Persian interface across the platform.
- Healthcare provider
- Online consultations & appointments
- Secure healthcare communication
- Pharmacy management
- Location-based healthcare services
- Professional & pharmacy dashboards
- Patient records & care coordination
- Persian RTL interface
ReactTypeScriptNext.jsDesign SystemRTL / Persian UI
Visit the siteLive in production at mehroban.com.
Engineering2025
8
Algorithms
A desktop app for watching CPU scheduling algorithms run. Generates processes and simulates FCFS, SPN, SJF, SRTF, HRRN, Round Robin, MLQ or MLFQ in real time as a live Gantt chart, with a manual mode for checking textbook exercises. Rust drives the simulation, React and D3 render the charts, Tauri 2 connects the two.
RustTauri 2ReactTypeScriptD3
Open source on GitHub.
Research2024
8
Puzzle size
A variant of A* search that breaks ties between equally-promising nodes with a contextual multi-armed bandit (UCB1) instead of an arbitrary order. Moves are bucketed by where the blank sits relative to the goal, so the search learns which moves pay off in the current region of the board — balancing that against an optimism bonus for under-tried moves, the same exploration/exploitation idea behind UCB and AlphaGo.
A* SearchMulti-Armed BanditsUCB1
Open source on GitHub.
06Positions held
Experience
Where the research and teaching work has happened so far.
Co-Founder & Front-End Developer
Mehroban — mehroban.comCo-founded Mehroban and built its front end: a Persian, right-to-left health super-app that connects patients with doctors, nurses, pharmacists and health centres.
Highlights
- Built the front end of a production health platform used by patients and clinicians
- Designed and maintained the design system and shared component library
- Shipped right-to-left interfaces across search, booking, messaging and ordering flows
Head Teaching Assistant — Artificial Intelligence
University of Guilan · Part-time
Serving as Head Teaching Assistant for the Artificial Intelligence course under the supervision of Dr. Eskandari.
Highlights
- Provided teaching assistance and academic support to 60+ students.
- Designed and coordinated a team-based, competition-style project called TSPTW (Traveling Salesperson Problem with Time Windows), challenging students to develop and evaluate algorithmic solutions to a combinatorial optimization problem.
Course materialsArtificial-Intelligence-Course
Teaching Assistant — Statistical Methods
University of Guilan · Part-time · Rasht, Iran
Served as Teaching Assistant for Statistical Methods under the supervision of Dr. Majid Chahkandi.
Highlights
- Provided teaching assistance and academic support to 50+ undergraduate students.
- Guided a hands-on statistical project applying hypothesis testing, ANOVA, regression, and statistical inference to real-world datasets.
- Conducted tutorial sessions to reinforce course concepts, solve statistical exercises, and answer student questions.
Teaching Assistant — Principles of Operating Systems
University of Guilan · Part-time · Rasht, Iran
Served as Teaching Assistant for Principles of Operating Systems under the supervision of Dr. Ali Jamalian.
Highlights
- Provided academic support and teaching assistance to 60+ students.
- Prepared and provided supplementary course notes based on “Operating System Concepts” by Silberschatz, Galvin, and Gagne.
- Graded and evaluated students' assignments and examination papers.
Course materialsPrinciples-of-Operating-Systems
Teaching Assistant — Foundations of Computer and Programming
University of Guilan · Part-time · Rasht, Iran
Served as Teaching Assistant for Foundations of Computer and Programming under the supervision of Dr. Ali Jamalian.
Highlights
- Provided academic support and teaching assistance to 60+ students.
- Provided academic e-book sources for students.
07Technical toolkit
Skills
The tools I use daily, and the languages I work in.
Programming Languages
Python95
JavaScript90
C / C++70
Rust80
MATLAB80
Julia75
Data & Databases
SQL85
Pandas90
NumPy95
Matplotlib85
BeautifulSoup80
Selenium80
ML / AI Frameworks
PyTorch90
TensorFlow85
Scikit-learn95
Keras85
Hugging Face80
Tools & Platforms
Git & GitHub90
Docker75
Jupyter95
Linux85
LaTeX85
Web & App Development
React90
Next.js90
React Native80
Design & Prototyping
Figma95
Photoshop80
Illustrator80
Languages
CEFRFANative
فارسی
Persian (Farsi)
ENFluent — C1
English
DEUpper intermediate — B2
Deutsch
German
08Get in touch
Contact
I am applying for M.Sc. and PhD positions and am glad to hear from research groups, supervisors and collaborators.
- Location
- Guilan, Iran — open to relocation
- Status
- Applying for M.Sc. / PhD, 2026 intake
- Elsewhere
- GitHubLinkedInGoogle Scholar
© 2026 Mehrnoosh Yaghoubi Kalourazi
Built from scratch. Typeset in JetBrains Mono and Inter.