Decrypting Words Using Muse-2
Published in AI Mind
Hande Naz Kavas
Computer Science student passionate about brain-computer interfaces, AI, sustainability, and software engineering. Building systems that merge neuroscience and computation, and writing about emerging technology.
Projects
YOLO vs Faster R-CNN Adversarial Research
Empirical study comparing adversarial vulnerabilities in autonomous vehicle perception pipelines.
Audia
A mood-based music recommendation system powered by EEG data and machine learning.
Gonullubul
MERN volunteering platform connecting NGOs with youth communities.
Photography Portfolio
170k+ views on Pexels showcasing social storytelling through documentary photography.
Articles
13+ published pieces
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Fooling Autonomous Cars Via White Box Attacks
Published in Level Up Coding
Accessible, low-cost biomedical innovations at Tufts’ research lab
Published in Tufts Daily
Keeping inner thoughts ‘private’
Published in Tufts Daily
What is Optogenetics?
Published in Merging Synapses
Technical Review of BCI — Part 1: fNIRS
Published in Merging Synapses
Figure 3.0 — Would you like a ‘Robot Maid’?
Self-published
Thought Communications: Decoding Inner Speech
Self-published
Can code replace the human body? — Neuroprosthetics
Self-published
Breaking with the Past: How Knowledge Benefits from Letting Go
Self-published
How I Used Vector Math and Trigonometry to Plan a Real-Life Transatlantic Sailing Trip
Self-published
Adversarial Attacks and CNN Manipulations: Understanding the Vulnerabilities of AI Systems
Self-published
What are Brain-Computer Interfaces
Self-published
Even though most of it is human-made, Chat GPT 5.1 has been of help for debugging and designing this website.