Artem Dinh

At the cross-section of technology, policy, and innovation.

I am studying Master's in Cybersecurity and Public Policy at Tufts University, focusing on disinformation, data & AI regulation, and digital democracy.

My previous experience and training were in biomedical engineering, data science, FDA regulations, and medical entrepreneurship.

Resume

Email: tdinh02@tufts.edu

LinkedIn: linkedin.com/in/long-artem-dinh

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Artem Dinh | Артем Дінь | Đinh Tiên Long

📌 Boston, MA, USA

🏠 Ho Chi Minh City, Vietnam & Berdychiv, Ukraine

What I am working on

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Candidate for Master of Cybersecurity and Public Policy

Graduating in 05/2025

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I am actively looking for research or internship opportunities in disinformation, tech & cyber policy, and data governance & compliance.

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Ukrainian Student Union of America

Chief of Staff

Visit Site

Resources for those interested in Disinformation

Check out the list of my pick of companies that are already fighting disinformation or offer useful services for the fight.

Check it out

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Projects & Writings

“Social media trolling can be good too” explores how social media trolling can be used as a tool for positive cyber activism, using the case study of NAFO, a pro-Ukrainian group that counters Russian disinformation and supports Ukraine’s cause. Class Paper

“Detection of Botnets Engaged in Information Operations” proposes a strategy to detect botnets that are involved in information operations on social media platforms, using a combination of network traffic analysis and social media monitoring techniques. Class Paper

“Proposal: Mapping Russian influence on US public figures via Twitter/X” proposes a study to measure the impact of Russian disinformation on Twitter on the political sentiment of American public figures during the 2016 election. Class Paper

Tech Stack

Deep Learning (Tensorflow, PyTorch, Scikit-learn, Computer Vision, NLP)

Big Data (Google Cloud, Hadoop, Spark, SQL)

Programming Languages (Python, MatLab, JavaScript, C++)

Data Analysis (Visualization, Modeling, Cleaning)

Cybersecurity (Wireshark, Kali Linux, Network Traffic Analysis, NIST RMF, Threat Modelling)

Work Experience

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Past Projects

Academic Research Contribution

Polarization-enhanced laparoscopy yields promise for improved visualization of peritoneal cancer metastases

While white light laparoscopy (WLL) has been established as a method that yields improved detection of peritoneal metastatic lesions over radiographic imaging, its sensitivity and specificity remain sub-optimal, leading to thousands of cancer patients that are over- or under- treated every year. We present studies that establish the sensitivity of polarization enhanced (PEL) laparoscopy to changes in the cross-section and alignment of scattering centers using phantoms and report on our initial in vivo human feasibility trial. The design of our PEL probe is simple and highly compatible with current laparoscopes, the standard of patient care and the established procedure flow for WLL. It comprises of a sheath inserted on the WLL laparoscope to provide linearly polarized illumination and a modified detection optical path that allows for recording of co- and cross-polarized images relative to the incident illumination. The sum of these images is equivalent to WLL, while their difference corresponds to PEL. Using PDMS phantoms with features that contain either TiO2 and ZnO2 particles, we demonstrate the enhanced sensitivity of PEL to scattering cross-section differences. Measurements performed with collagen gels that are being stretched reveal improved sensitivity of PEL (over WLL) to collagen fiber alignment. Our initial feasibility study results support the improved diagnostic potential of PEL. In fact, a Monte Carlo-based analysis approach that utilizes the color content of the PEL images indicates that PEL yields improved contrast for detection and differentiation of benign and malignant metastatic lesions. These studies provide strong motivation for further development of PEL imaging as an approach that may improve significantly the detection of peritoneal metastatic lesions.

Polarization-enhanced laparoscopy yields promise for improved visualization of peritoneal cancer metastases

Ukraine Advocacy

Disinformation A-Z