papers
You can find my patents and publications below.
patents
2025 | Systems and Methods for Audio-based Games using Artificial Intelligence (pending patent)
U.S. Patent No. 19/049,283
Filed: 2025-02-10
Inventors: Edvin Teskeredzic, Hadzem Hadzic, Emanuel Lacic
USPTO
publications
2025 | Vocalize: Lead Acquisition and User Engagement through Gamified Voice Competitions
This paper explores the prospect of creating engaging user experiences and collecting leads through an interactive and gamified platform. We introduce Vocalize, an end-to-end system for increasing user engagement and lead acquisition through gamified voice competitions. Using audio processing techniques and LLMs, we create engaging and interactive experiences that have the potential to reach a wide audience, foster brand recognition, and increase customer loyalty. We describe the system from a technical standpoint and report results from launching Vocalize at 4 different live events. Our user study shows that Vocalize is capable of generating significant user engagement, which shows potential for gamified audio campaigns in marketing and similar verticals.
https://arxiv.org/abs/2507.20730
2021 | Evaluation of Artificial Neural Network Inference Speed and Energy Consumption on Embedded Systems
In this paper, an accelerator for artificial neural network inference on edge devices, namely the Intel Neural Compute Stick (NCS), will be evaluated in terms of speed, energy consumption, and performance/cost ratio after which it will be compared to other similar solutions. It has been concluded that the inference speed is significantly better by using the Intel NCS than without it. This solution can be used in private projects and prototyping because of its low cost and low power consumption.
https://ieeexplore.ieee.org/document/9400658
2020 | Comparison of the Non-Blocked and Blocked Floyd-Warshall Algorithm with Regard to Speedup and Energy Saving on an Embedded GPU
The performance of these algorithms has been measured on regular as well as on embedded GPU hardware (using CUDA), and a significant speedup has been achieved. Additionally, this paper shows that a blocked data access results in significant energy savings of up to 72% on embedded hardware.
https://ieeexplore.ieee.org/document/9066330
2020 | Low cost UGV platform for autonomous 2D navigation and map-building based on a single sensory input
This paper presents a low-cost, single sensor autonomous mobile robot. The proposed system is able to map an indoor environment, while at the same time localizing itself within it, and solving the SLAM (Simultaneous Localization and Mapping) problem using data gathered from the sensor. It is able to navigate the environment, choosing safe paths for exploration based on the data acquired by mapping and localization.