Konstantinos Kalais

- Photo Editing and Post-Processing (Adobe Photoshop & Lightroom)
- Ensure high-quality, market-ready visuals aligned with client preferences and brand aesthetics
- Attended 4 Photography Masterclasses in topics such as Composition Techniques (Rule of Thirds, Framing, Light, Negative Space), Color Theory, White Balance

- Songwriting, Music Production, Sound Design & Audio Synthesis (Cubase & Studio One DAWs)
- Audio Repair, Restoration, and Post-Production for Film, Music and Podcasts (iZotope RX, Adobe Audition)

- Perform regularly in bars, restaurants, concert venues, and festivals as a band member or DJ across a variety of genres
- Experience in live shows, studio recordings, and collaborative projects

Generative AI models (Diffusion and Transformers) for:
- Gaze-contingent Video Super-Resolution, based on a 4k 3D omnidirectional camera live input stream
- Text-to-Image & Text-to-Video generation

- Bayesian Deep Learning and Transfer Learning techniques for Sign Language Translation, addressing the needs of AR systems for Deaf and Hard-of Hearing communication
- Generative AI models for Computer Vision & Natural Language Processing

Taught students of all ages drum set techniques, performance, rhythm training, and music theory fundamentals. Developed personalized lesson plans to cater to individual student needs and skill levels.

Applied Data Analysis & Machine Learning techniques for Hardware Trojan Detection. Contributed to research efforts aimed at enhancing the security of hardware systems.

AI/predictive analytics for monitoring conditions in grain silos (temperature, humidity, CO₂, fumigant levels), detect pest infestation risks, and predict mycotoxin development in stored cereal grains

- Personalized support for Undergraduate students in courses such as Mathematics (Linear Algebra, Calculus, Discrete Mathematics), Machine Learning, and Circuit Analysis
- Mathematics and Physics lessons to Elementary and High School students

- ‘Problem solution environments for Data Science applications’ module, Oct 2019 - Feb 2020
- ‘Circuit Analysis’ module, Oct 2017 - Feb 2018

Grade: 4.0 GPA

Diploma Thesis: Stochastic Deep Networks with Linear Competing Units for Transfer Learning (4.0 GPA)

Grade: 9.3/10 (4.0 GPA)

- Diploma Thesis: Machine Learning Techniques for Hardware Trojan Detection
- Graduated First in Class, Grade: 9.3/10 (4.0 GPA)