Experience

Below is a chronological overview of my academic and industry experience, listed from the most recent to the earliest.


Ingenuity Labs at Queen's University

Researcher, Ingenuity Labs

Queen's University

During my Master's studies at Queen's University, I was part of Ingenuity Labs, a research hub focused on cutting-edge innovations in robotics and artificial intelligence. I had the opportunity to collaborate with fellow researchers across various domains, engaging in dynamic, cross-disciplinary projects. As part of the Robotics Cluster, I attended weekly meetings, where I interacted with roboticists working on a range of exciting projects. This collaborative environment enhanced my research, exposed me to diverse perspectives, and strengthened my understanding of the intersection between robotics, AI, and AR.

MItHRIL lab

Research assistant at MItHRIL

Queen's University

Under the supervision of Prof. Matthew Pan, I conducted research for my Master's thesis, focusing on the development of an Augmented Reality (AR) application. The project aimed to visualize the final design of under-construction buildings at their intended locations in real-time. This work involved integrating AR technologies with 3D models of urban infrastructure to enhance public engagement during the construction process. By creating an immersive experience for stakeholders, my research contributed to streamlining the planning and approval phases of urban development projects.

Mila's card

Summer Intern Supervisor

Queen's University

During the summers of 2023 and 2024, I supervised two summer interns at MItHRIL Lab, Queen’s University, guiding them through research projects focused on VR/AR. I provided mentorship on research methodologies, technical skills, helping them develop a strong foundation in their respective fields. Through regular discussions and progress reviews, I ensured a productive and engaging learning experience, fostering their growth as researchers while working on my own research project.

MREN 303 course

Queen's University

Course Developer

Over a four-month period at Queen’s University, I assisted a professor in designing and developing a new third-year undergraduate course in the MREN department. The course featured a hands-on challenge where students built their own wheeled robots for a Jurassic Park-themed competition. Their robots were tasked with grabbing dinosaur figures and storing them in designated boxes. My role involved structuring course content, selecting appropriate materials for building the robots, and creating a demonstration wheeled robot using these materials. Through this experience, I gained valuable insights into curriculum development, project-based learning, and effective teaching methodologies.

GECE Council

Women in Engineering Representative GECE Council

Queen's University

As the Women in Engineering representative in the GECE Student Council, I advocated for gender diversity and inclusion within the engineering community. I organized events and initiatives aimed at supporting and connecting women in engineering disciplines, fostering a collaborative and empowering environment.

Avir

Avir Artificial Intelligence Center

Machine Learning Researcher

As a Machine Learning Researcher at Avir, I specialized in image dataset curation, leveraging web scraping and advanced data cleaning techniques to build diverse, high-quality datasets. I also developed a user-based open vocabulary image hashtag prediction model—a task that involves mapping an image to its accompanying hashtags, which remains an open challenge in computer vision. Recent research highlights the importance of user behavior in building accurate hashtag prediction models. To address this, we designed a model that extracts a user representation based on their image history, allowing for more personalized predictions.

University of Tehran

University of Tehran

Bachelor's Degree in Electrical Engineering

During my undergraduate studies at the University of Tehran, I pursued a major in Electrical Engineering and earned a minor in Computer Engineering. I took multiple courses in Machine Learning, Neural Networks, and Deep Learning, which strengthened my foundation in AI and data-driven modeling. These courses enhanced my ability to tackle complex machine learning projects. Additionally, I served as a teaching assistant for several courses, including Machine Learning, Signal Processing, and Control Systems, which deepened my understanding and reinforced my communication skills. I also joined the Communication Laboratory, where I worked on a watermarking project under the supervision of Dr. Akhaee, gaining hands-on experience in signal processing and digital security.