Empowering the next generation of CV & Graphics researchers
Cohort 2024Professor @ Cornell University
I am an assistant professor of Computer Science at Cornell University. I specialize in computer graphics, computer vision, human-computer interaction (HCI), as well as a random sampling of other topics.
Professor @ Cornell University
I am an associate professor in Computer Science at Cornell University. I work on computer vision and machine learning, in particular on important problems that defy the "Big Data" label. I enjoy problems that require marrying advances in machine learning with insights from computer vision, geometry and domain-specific knowledge.
Provost, Professor @ Cornell University
Kavita Bala, a computer scientist, entrepreneur, and professor, became the 17th provost of Cornell University on January 1, 2025. She brings a distinguished record of leadership and scholarship to the role. Her foundational research in computer vision, computer graphics, and artificial intelligence has been recognized by election to the American Academy of Arts & Sciences and by induction as a Fellow of the Association for Computing Machinery (ACM).
Director of Graduate Studies @ Cornell University
My research and teaching are in computer graphics and vision, centered around how optics and mechanics determine the appearance of materials. I got my Ph.D. from Cornell in 1998, and held research positions at HP Laboratories, Microsoft Research, and Stanford University before I rejoined Cornell in 2002. I work part-time in the Real-Time Graphics Research group at NVIDIA Research.






Assistant Data Officer @ REACH Initiative
Alpha Lencho is a final-year Information Systems student at Addis Ababa University, graduating in 2017 E.C. He is passionate about working with data and exploring its potential. His main interests are in Machine Learning, especially Natural Language Processing and Computer Vision. Alpha enjoys turning data into meaningful insights to solve real-world problems.
ML/AI Engineer @ TestSavantAI
An under-grad student at at Addis Ababa Institute of Technology, studying software-engineering in the stream of AI, equipped with solid foundations of computer science principles and advanced coursework in AI and machine learning. Passionate about research and theoretical advancements.
IT Specialist @ CDC Project AA Health Bureau
Elias Girma is an IT Specialist with a strong interest in Artificial Intelligence (AI) and Machine Learning (ML). He has experience in cybersecurity, data engineering, data analysis, and image processing. Elias is passionate about leveraging technology to create impactful solutions and drive innovation.
AI Programmer @ ConDigital
AI Engineer with a passion for computer vision, natural language processing, and generative AI research. Currently focused on developing AI agents and building conversational AI applications.
BSc Computer Science @ AAU
Senior computer science student at Addis Ababa University; Watched Breaking Bad 4x; Favorite superhero is Spiderman :)
Research Assistant: Robotics Dept @ University of Michigan
I'm Hana Andargie Kassie, and I recently completed my Bachelor's degree in Electrical and Computer Engineering at Addis Ababa University, graduating in June 2024. During my studies, I focused on Robotics, Human-Robot Interaction (HRI), and Human-Autonomy Teaming, exploring how humans and autonomous systems can collaborate effectively.
Network Engineer @ CBE
I'm Henok Belayneh, a 4th-year Electrical and Computer Engineering student at AAiT. I've always been passionate about physics, mathematics, and quantum computing-they're what drive me to explore and learn. My research interests include computer vision and machine learning.
PhD student @ Cornell University
I am a CS PhD student at Cornell University working at the intersection of Machine Learning, Computer Vision, and Graphics. More specifically, my research focuses on 3D reconstruction, relighting, and scene understanding under occlusion. Prior to Cornell, I earned my Bachelor's in Software Engineering from Addis Ababa University, Ethiopia. I also worked as a research intern at École Polytechnique and the University of Michigan, as well as a product manager at A2SV.
Researcher @ KAUST
My research interests focus on generative model interpretability and evaluation, with a particular goal of reverse engineering the learned algorithms within neural networks. Ultimately, I seek to explore ways to inject and modify concepts in these networks, advancing our ability to refine and control their learning processes.
Machine Learning Engineer
I am a Full-Stack Developer with a deep interest in Large Language Models (LLMs) and Computer Vision. My work focuses on developing AI-driven solutions, with ongoing research in prompt security and AI guardrails. Beyond development, I'm passionate about exploring cutting-edge advancements in machine learning to solve real-world problems.
Software Engineer @ Google
I am a software engineer specializing in backend development, with a blend of industry and research experience. Fascinated by how technology can improve lives, I am committed to contributing to projects that make a meaningful difference. While continuously learning and growing, I am equally dedicated to mentorship and knowledge-sharing, fostering inclusive tech communities.
PhD Student @ Cornell University
I am a third-year Ph.D. student in the Computer Science Department at Cornell University, advised by Prof. Sanjiban Choudhury. I am interested in building robots that can help humans in everyday tasks.
Post Doctoral Researcher @ Stanford University
Katie Luo is a Ph.D. student at Cornell University, advised by Prof. Kilian Q. Weinberger and Prof. Bharath Hariharan. Katie's research focuses on computer vision and perception for self-driving, with an end goal of bringing self-driving to a diverse set of end users.
We are immensely grateful to everyone who helped make this program happen. We would like to thank Prof. Bharath Hariharan and Prof. Steve Marschner for their guidance from the ideation stage to providing lecture materials and becoming guest speakers. We also express our gratitude to Emre Varol and A2SV for providing us with lab space to conduct this workshop. Additionally, we extend our gratitude to Prof. Noah Snavely, Prof. David Fouhey, and Prof. Justin Solomon for sharing their experiences with us on running similar initiatives. We sincerely appreciate our guest speakers and panelists who took time out of their busy schedules to join us: Prof. Abe Davis, Prof. Kavita Bala, Meron Demissie, Luisa San Martin, Selam Gebrehiwot, and Fangyin Wei. We are also very thankful for everyone who helped us financially to run this initiative.