About
Hana L. Goshu
Biography
Hana L. Goshu is a PhD candidate in the Department of Electrical and Electronic Engineering at The Hong Kong Polytechnic University, where her research develops artificial intelligence for three-dimensional visual perception.
Her work asks what can be recovered about a three-dimensional scene when the available images do not fully determine the answer. She has built five complete systems on neural radiance fields and 3D Gaussian splatting, covering 3D object detection, reconstruction from very few views, egocentric video, efficient training and anti-aliased rendering. Her papers appear in Neurocomputing, at the ACM International Conference on Multimedia and at APSIPA ASC, and she also publishes physics-informed machine learning with uncertainty quantification in Applied Soft Computing and Engineering Applications of Artificial Intelligence.
She holds bachelor's and master's degrees in Software Engineering, and has a CGPA of 4.00/4.00 in her doctoral studies. In 2025 she received the IEEE Computational Intelligence Society Graduate Student Research Grant as one of 11 recipients worldwide, which supported an eight-month research attachment at Idaho State University. She has taught for seven academic terms at undergraduate and postgraduate level, and has reached more than 200 school students through STEM outreach focused on women in science and engineering.
Research interests
- 3D object detection and scene understanding
- Neural radiance fields
- 3D Gaussian splatting
- Sparse-view reconstruction
- Efficient neural rendering
- Uncertainty quantification
- Physics-informed machine learning
Education
2023 – 2026
PhD in Electrical and Electronic Engineering
The Hong Kong Polytechnic University, Hong Kong SAR
CGPA 4.00/4.00. Supervisor: Prof. Kin-Man Lam.
2021 – 2023
MSc in Software Engineering
University of Electronic Science and Technology of China, Chengdu, China
CGPA 3.99/4.00. Supervisor: Prof. Jin Wu. Chinese Government Scholarship.
2017 – 2021
BSc in Software Engineering
University of Electronic Science and Technology of China, Chengdu, China
CGPA 3.92/4.00. Betre Science Ethiopia Scholarship.
Experience
2025 – 2026
Visiting PhD Researcher
Department of Electrical and Computer Engineering, Idaho State University, Pocatello, Idaho, USA
Eight-month research attachment hosted by Prof. Mostafa Fouda, supported by the IEEE CIS Graduate Student Research Grant and the PolyU Research Student Attachment Programme.
2023 – present
Graduate Assistant, Research and Teaching
The Hong Kong Polytechnic University, Hong Kong SAR
Research in AI and computer vision, with tutorial and laboratory teaching, assessment design and marking, and supervision of student projects.
2024 – 2025
Hall Tutor
Student Halls of Residence, The Hong Kong Polytechnic University, Hong Kong SAR
Competitively appointed to provide academic and pastoral support to resident students.
2022 – 2023
Finance Manager and Board Member
Charity organization, Addis Ababa, Ethiopia
Managed financial operations and budgets, and contributed to strategic decisions as part of the executive board.
Honors and awards
- 2026
Hong Kong Government Scholarship Fund
Government of the Hong Kong Special Administrative Region
- 2025
IEEE Computational Intelligence Society Graduate Student Research Grant
IEEE Computational Intelligence Society
- 2017
Betre Science Ethiopia Scholarship
Ethiopian Government, Ministry of Science and Technology
Service and outreach
Peer Reviewer
Innovative Infrastructure Solutions, Springer
2025
Selected Member, IEEE Region 10 Young Professionals Volunteer Collective
One of three representatives from Hong Kong.
2024 – 2025
Hall Tutor
The Hong Kong Polytechnic University
Academic and pastoral support for resident students.
2024
STEM outreach and women in STEM
Public talks and workshops promoting STEM education and the participation of female students, reaching more than 200 students across five schools.
2020 – 2021
Peer mentorship
Mentored more than 15 students on academic challenges and career planning during the COVID-19 pandemic.
Memberships and skills
- IEEE, Student Member
- IEEE Signal Processing Society
- IEEE Computational Intelligence Society
- IEEE Women in Engineering
- IEEE Young Professionals
- Association for Computing Machinery (ACM)
- Graduate Women International (HKAUW)
- Association of University Women
- Engineers Without Borders USA
- Methods
- Neural radiance fields · 3D Gaussian splatting · Transformers and attention · State-space models (Mamba) · Physics-informed learning · Self-supervised learning · Uncertainty quantification
- Frameworks
- PyTorch · TensorFlow · Keras · OpenCV · NumPy · scikit-learn
- Programming
- Python · C/C++ · CUDA · Java · MATLAB · JavaScript · SQL
- Platforms
- Linux · Git · Docker · GPU clusters · Google Cloud · AWS