Personal information

Verified email domains

Biography

Graduate Assistant at the University of Connecticut's Department of Computer Science and Engineering, I am passionate about leveraging technology to improve the world around us. With a Master's degree in ICT for Smart Societies from the Polytechnic University of Turin, my academic background has provided a solid foundation for my interest in the intersection of technology and societal development.

From working on my master's thesis for Mauriziano Umberto Hospital to my tenure as a researcher at LINKS Foundation, I have honed my abilities in a variety of areas. My scholarly research interests are diverse but interconnected, spanning from microscopic image analysis and digital image processing, to machine learning, neural networks, and deep learning and their applications in healthcare. The potential of machine learning for healthcare (MLHC) in particular, stands out as one of my primary focus areas.

In my work, I am constantly pushing the boundaries of knowledge and practice. I strive to keep myself at the forefront of emerging technologies and techniques, contributing to the advancement of the ICT field as a whole and its transformative impact on society.

For a detailed look at my academic contributions, please visit my Google Scholar page (https://scholar.google.com/citations?user=fnGwwREAAAAJ&hl=en). For those interested in my code and technical projects, I invite you to explore my GitHub page (https://github.com/SahandHamzehei).

I am always open to connecting with fellow professionals and academics who share my passion for technology's potential in shaping smart societies.

Activities

Employment (1)

LINKS Foundation: Turin, IT

2022-06 to 2022-12 | Researcher
Employment
Source: Self-asserted source
Sahand Hamzehei

Education and qualifications (2)

University of Connecticut: Storrs, CT, US

2023-01 to present | Graduate Assistant (Computer science and engineering)
Education
Source: Self-asserted source
Sahand Hamzehei

Polytechnic University of Turin: Turin, IT

2019-09 to 2022-04 | Master's degree, ICT for Smart Societies
Education
Source: Self-asserted source
Sahand Hamzehei

Works (9)

Advanced Feature Extraction and Outlier Detection for 3D Biological/Biomedical Image Registration

IEEE Transactions on Computational Biology and Bioinformatics
2025 | Journal article
Contributors: Sahand Hamzehei; Jun Bai; Gianna Raimondi; Rebecca Tripp; Linnaea Ostroff; Sheida Nabavi
Source: check_circle
Crossref

CAPTURE: A Clustered Adaptive Patchwork Technique for Unified Registration Enhancement in Biological Imaging

2024-11-22 | Conference paper
Contributors: Sahand Hamzehei; Gianna Raimondi; Mostafa Karami; Linnaea Ostroff; Sheida Nabavi
Source: check_circle
Crossref

DCCNV: Enhanced CNV Detection in Single-Cell Sequencing Using Diffusion Process and Contrastive Learning

2024-11-22 | Conference paper
Contributors: Mostafa Karami; Bingjun Li; Samson Weiner; Sahand Hamzehei; Sheida Nabavi
Source: check_circle
Crossref

3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection

Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
2023-09-03 | Conference paper | Author
Contributors: Sahand Hamzehei; Jun Bai; Gianna Raimondi; Rebecca Tripp; Linnaea Ostroff; Sheida Nabavi
Source: Self-asserted source
Sahand Hamzehei
grade
Preferred source (of 2)‎

Predicting the total Unified Parkinson’s Disease Rating Scale (UPDRS) based on ML techniques and cloud-based update

Journal of Cloud Computing
2023-01-21 | Journal article
Part of ISSN: 2192-113X
Contributors: Sahand Hamzehei; Omid Akbarzadeh; Hani Attar; Khosro Rezaee; Nazanin Fasihihour; Mohammad R. Khosravi
Source: Self-asserted source
Sahand Hamzehei

Analyzing the Network System Performance Based on the Queuing Theory Concept

2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
2022-11-06 | Conference paper
Contributors: Omid Akbarzadeh; Sahand Hamzehei; Ayman Amer; Nazanin Fasihihour; Mostafa Karami
Source: Self-asserted source
Sahand Hamzehei

Multicast Optimization: Operational Research Theory and Applications

2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
2022-11-06 | Conference paper
Contributors: Omid Akbarzadeh; Mostafa Karami; Nazanin Fasihihour; Mohammed Alghanim; Sahand Hamzehei
Source: Self-asserted source
Sahand Hamzehei

Simulating a Charging Station for Electric Vehicles (EV) Based on the Concept of the Markov Chain to Analyze the System Performance

2022 International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
2022-11-06 | Conference paper
Contributors: Sahand Hamzehei; Omid Akbarzadeh; Nazanin Fasihihour; Mais Alzgool; Mohammad R. Khosravi
Source: Self-asserted source
Sahand Hamzehei

Publication

2021-04-13 | Dissertation or Thesis
Contributors: Sahand Hamzehei
Source: Self-asserted source
Sahand Hamzehei