Blerim Abdullai Email & Phone Number

Toronto, On, Ca

• Developing novel deep learning based localization methods using radar scans and overhead imagery for an autonomous surface vessel.

Richland, Wa, Us

• Developed and field tested an autonomous surface vessel to support autonomous navigation using nautical charts for environmental monitoring missions.• Created an interactive tracker for pedestrians in live video fused across 16 cameras, using Kalman Filters, Deep Association Metrics, and a novel view manager.

Champaign, Il, Us

Champaign, Il, Us

• Competed amongst top 10 universities on a team building a multimodal model utilizing a seq2seq transformer, FFNNs, and Mask-RCNN in order to create collaborative dialog agents within a real-time Alexa deployment.• Improved the scene understanding of our bot by augmenting the vision dataset, designing evaluation metrics, and training variations of Mask R-CNN for instance segmentation on AWS EC2 Instances.• Implemented a dialog manager which uses visual information from current and previous observations to generate clarifying questions for the user to improve task success rate.

Champaign, Il, Us

Worked with Professor and Graduate TAs and providing office hours for students in ECE 385. Topics covered during office hours include working with physical TTL chips, System Verilog (Quartus), and NIOS II Soc.

Irving, Texas, Us

• Developed core router features on production Engine Control Modules including configurable DHCP server support.• Supported autonomy team by developing SRT channels for secure low-latency video streams of up to 8 cameras.

Richland, Wa, Us

Was a part of the Triton Collision Risk project in order to create an automated filtering pipeline for removing moving turbines within acoustic camera footage using Discrete Fourier Transform and Singular Value Decomposition algorithms within OpenCV and Numpy. Constructed visualizations for IoT network data to be used with PNNL’s CHISSL semi-supervised labeling tool. Experimented with K-means clustering for building IoT device behavior profiles in real-time packet monitoring.

Richland, Wa, Us

I was a developer on the VOLTTRON platform which is an IoT middleware design for scalable and secure communication across many different IoT devices in building settings. I developed 2 drivers for the Zigbee and Z-Wave smart home protocols. These drivers were able to expand the capability of the platform to residential IoT devices. I also completed network assessment and system categorization for third-party sponsors featuring a variety of IT, OT, and IoT networks.

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs Highest Honors, Computer Engineering

Associate'S Degree

High School Diploma