Milad Yousefi

Name: Milad Yousefi

Email: miladdyousefi@gmail.com

Location: Tabriz, Iran

About Me

I am Milad Yousefi, a passionate individual deeply immersed in the realms of mathematics, artificial intelligence, and neuroscience. My academic journey began at Tabriz University, Iran, where I pursued a Bachelor of Science in Applied Mathematics. Throughout my studies, I delved into the fascinating world of fuzzy modeling techniques, particularly focusing on their application in LIF neuron models. My research endeavors have been diverse, ranging from predicting brain strokes and exploring treatments for tinnitus to segmenting lung cancer and developing innovative image compression methods using singular value decomposition. As a teaching assistant, I've had the privilege of sharing my knowledge with bachelor students, guiding them through courses in differential equations, combinatorics, and linear optimization. Beyond academia, I've honed my skills in various programming languages and completed online courses in advanced bioinformatics, computational neuroscience, and deep learning. With an unwavering commitment to innovation and a thirst for advancing scientific knowledge, I am excited about the opportunities to contribute meaningfully to the fields of mathematics, AI, and neuroscience.

Education

Bachelor of Science in Applied Mathematics
Tabriz University, Tabriz, Iran
2019-2023
Thesis: An Investigation into Fuzzy Modeling Techniques for Input Current Conversion in LIF Neuron Models
GPA: 17.43/20 (3.58/4.00)

Diploma in Mathematics
Manavi
2015
GPA: 18.41/20.00 (3.84/4.00)

Research Interests

  • Computational neuroscience
  • Bioinformatics
  • Healthcare
  • Systems biology
  • Machine Learning
  • Reinforcement Learning

Selected Courses

  • Linear Regression (19/20)
  • Fuzzy mathematics (20/20)
  • Linear Optimization (19.5/20)
  • Advanced Programming (20/20)
  • Combinatorics (20/20)
  • Algebra (19/20)
  • Linear Algebra (19/20)
  • Ordinary differential equation (19/20)
  • Mathematics Analysis (19/20)
  • Probability I (20/20)
  • Advanced Statistics and Probability (19/20)

Academic Experiences

  • Projects
    • Brain stroke prediction using machine learning and deep learning
    • Comparing Gabapentin and Cinnarizine effect on tinnitus in patients with Sensorineural Hearing Loss (A Statistical Analysis)
    • Lung cancer segmentation & classification using CT scan images
    • Investigating the dataset of a Hotel booking demand
    • Image compression and Face recognition using singular value decomposition (SVD)
  • Teaching Assistant, Department of Mathematics and Computer Science, TBZU
    • Course Title: Differential equation, (Undergraduate)
    • Instructor: Dr. Bahrami
    • Held weekly sessions for solving problems and explaining complex concepts
    • Defined class project
  • Teaching Assistant, Department of Mathematics and Computer Science, TBZU
    • Course Title: Combinatorics, (Undergraduate)
    • Instructor: Dr. Behmaram
    • Held weekly sessions for solving problems and explaining complex concepts
    • Graded Homeworks
  • Teaching Assistant, Department of Mathematics and Computer Science, TBZU
    • Course Title: Linear optimization, (Undergraduate)
    • Instructor: Dr. Vakili
    • Held weekly problem-solving class
    • Held midterm and final exams

Publications

  • published [1] Hamidreza Ashayeri 1 M.D., Ali Jafarizadeh 1,2 M.D., M.P.H., Fereshteh Farhadi 1,2 M.D., M.P.H., Alireza Javadzadeh 3 M.D. *, Milad Yousefi “Retinal imaging and Alzheimer's disease: an artificial intelligence-based future”
  • published [2] Chee Peng Lim, Shadi Farabi, Milad Yousefi “Artificial Intelligence for Multiple Sclerosis Management Using Retinal Images: Pearl, Peaks, and Pitfalls” Link
  • Submitted [3] Milad Yousefi, MSc; Shadi Farabi Maleki, MD; Ali Jafarizadeh, MD, MPH; Mahya Ahmadpour Youshanlui, MD; Aida Jafari, MSc; Siamak Pedrammehr, PhD; Ryszard Tadeusiewicz, PhD, DSc; Paweł Pławiak, PhD “Advancements in Radiomics and Artificial Intelligence for Thyroid Cancer Diagnosis”
  • Submitted [4] Sima Shahmohammadi-Farid, Milad Yousefi, Shadi Farabi, Leyla Mandalo "HLA distribution of Azeri and Kurd ethnic groups: 6 years investigation of Northwest Iran"
  • Ongoing [5] Fariba Bahrami, Milad Yousefi, Shadi Farabi "An Investigation into Fuzzy Modeling Techniques for Input Current Conversion in LIF Neuron Models"

Skills & Studied Online Courses

  • Comfortable with software engineering, design patterns, and architecting software
  • Proficient in Python, C++, PHP, Laravel, Django, TensorFlow, Java, C++
  • Completed online courses in Advanced Bioinformatics, Computational Neuroscience, Machine Learning, and Deep Learning Specialization (5 courses), all held by Andrew Ng

Honors & Awards

  • 2016: B.Sc. Full scholarship for being in the top 300 National Public Universities Exam in 2016

Work Experience

  • Web Developer and Data Scraping

Language Proficiency

  • Persian: Native
  • Azerbaijani: Native
  • English: TOEFL