Akkal Bahadur Bist
AI Researcher
Computer Science Lecturer
Kathmandu, Nepal
Research interests
- Deep Learning
- Neural Machine Translation
- Computer Vision
- Low-Resource NLP
Tribhuvan University · Kathmandu, Nepal
Akkal Bahadur Bist
AI Researcher & Computer Science Lecturer
Researching deep learning for low-resource languages — neural machine translation, speech and vision — while teaching computer science at Tribhuvan University.
- Degree
- M.Sc. CSIT, CDCSIT TU
- Teaching
- MIT · B.Sc. CSIT · BIT
- Focus
- Low-resource language AI
About
About Me
IT professional, researcher, and educator with experience in university IT infrastructure management and computer science teaching. Focused on deep learning systems and research in machine translation and speech technologies for low-resource languages.
I am Akkal Bahadur Bist, a computer science educator, researcher and IT professional based in Kathmandu, Nepal. I hold an M.Sc. in Computer Science and Information Technology from the Central Department of Computer Science and Information Technology (CDCSIT), Tribhuvan University, Kirtipur, and a B.Sc. CSIT from Swastik College, Tribhuvan University.
My research sits at the intersection of deep learning and language. My dissertation developed a Transformer-based neural machine translation system for Doteli, a low-resource Nepali language, using back translation to overcome limited parallel data. Alongside this, I have worked on convolutional neural networks for image classification and Nepali currency recognition, and reviewed transfer learning approaches for grammar generation in low-resource settings.
Professionally, I serve as Head Technical Assistant - IT at Amrit Science Campus, Tribhuvan University, where I act as administrative head of the Department of Computer Science and Information Technology across the MIT, B.Sc. CSIT and BIT programs and run the campus web, office automation and mail infrastructure. Since 2025 I have also taught as a Part-Time Lecturer across those same programs, and I supervise master's thesis work in applied deep learning.
Earlier roles in municipal MIS administration, geospatial data science research and technology leadership shaped a practical engineering perspective that I bring into both my research and my classroom. My aim is to build language and vision technologies that serve Nepali speakers, and to prepare students who can carry that work forward.
Education
2023 – 2025
M.Sc. in Computer Science and Information Technology (M.Sc. CSIT)
Central Department of Computer Science and Information Technology (CDCSIT), Tribhuvan University
Kirtipur, Kathmandu, Nepal
2013 – 2017
B.Sc. in Computer Science and Information Technology (B.Sc. CSIT)
Swastik College, Tribhuvan University
Bhaktapur, Nepal
2011 – 2013
+2 Science
Hill Town International Higher Secondary School, HSEB
Kirtipur, Kathmandu, Nepal
2000 – 2010
School Leaving Certificate (SLC)
Shree Kedar Secondary School, Government of Nepal
Bajhang, Nepal
Languages
- Nepali — Native proficiency
- English — Independent professional capability
- Hindi — Independent communicator
Research Interests
The areas that shape my research agenda and supervision.
Artificial Intelligence
Intelligent systems research spanning learning, representation and applied AI for real-world problems.
Machine Learning
Statistical learning, model design and evaluation, with an emphasis on data-constrained settings.
Deep Learning
Transformer and convolutional architectures, training strategies and augmentation techniques.
Natural Language Processing
Language modelling, translation and grammar generation for morphologically rich languages.
Low-Resource NMT
Neural machine translation for Nepali and Doteli, using back translation and transfer learning.
Image Processing & Computer Vision
Classification and recognition pipelines, including currency recognition with CNNs.
Data Science
Analytical pipelines, geospatial predictive modelling and visualisation in Python and R.
Research
Research
Dissertation, seminar and review work in deep learning for low-resource languages, image recognition and applied machine learning.
2025Dissertation ResearchCompleted
Neural Machine Translation for Doteli Language using Transformer Model with Back Translation
Master's dissertation developing a Transformer-based neural machine translation system for Doteli, a low-resource language of western Nepal. Back translation is used to synthesise additional parallel data and improve translation quality under severe data scarcity.
NLPTransformerBack TranslationLow-Resource NMTPython
2024Literature Review ResearchCompleted
Transfer Learning for Grammar Generation in Low-Resource Languages
A review of transfer learning strategies applied to grammar generation for low-resource languages, surveying pre-training, fine-tuning and cross-lingual transfer approaches and their limitations.
NLPTransfer LearningGrammar GenerationLiterature Review
2024Seminar Work IICompleted
Nepali Currency Recognition using CNN
A convolutional neural network pipeline for recognising Nepali banknote denominations from images, covering dataset preparation, model training and evaluation.
Computer VisionCNNImage ClassificationComputer Vision
2023Seminar Work ICompleted
A Comparative Study of Convolution Neural Network Based on Image Classification
Comparative analysis of convolutional neural network architectures for image classification, examining accuracy and behaviour across model configurations.
Deep LearningCNNModel ComparisonImage Classification
2017Undergraduate Project WorkCompleted
Bijulimapan: A Machine Learning-driven Power Computation Tool
Bachelor's project work building a machine learning driven tool for electric power computation and estimation.
Machine LearningMachine LearningApplied Analytics
Master's Thesis Supervision
2026
Impact of GAN Based Data Augmentation on Nepali Currency Recognition Using CNN
Mr. Kamal Raj Joshi — Masters in Information Technology (MIT)
Amrit Campus, Tribhuvan University, Thamel, Kathmandu
Role: Thesis Supervisor
Peer-reviewed publications are in preparation. Published papers and DOIs will be listed here as they appear.
Teaching
Teaching
Part-Time Lecturer, Amrit Science Campus, Tribhuvan University (2025–Present)
Postgraduate
Masters in Information Technology (MIT)
- Advanced computing coursework
- Research methodology and thesis guidance
- Applied machine learning
Role: Part-Time Lecturer
Undergraduate
B.Sc. Computer Science and Information Technology (B.Sc. CSIT)
- Core computer science fundamentals
- Programming and problem solving
- Project and seminar supervision
Role: Part-Time Lecturer
Undergraduate
Bachelor of Information Technology (BIT)
- Information technology foundations
- Applied systems and tooling
- Practical lab instruction
Role: Part-Time Lecturer
Teaching Philosophy
I teach computer science as a discipline that has to be understood conceptually and then built with your own hands. Lectures establish the mathematics and the intuition; lab work turns that into working code, so students can see exactly where a model or a system succeeds and where it fails.
Because much of my own work concerns low-resource languages and data-constrained problems, I encourage students to treat local, imperfect data as a legitimate research setting rather than an obstacle. Reading papers, reproducing results and reporting honest evaluation matter more to me than polished demonstrations.
I also keep the classroom close to practice. Version control, Linux environments, reproducible notebooks and clear technical writing are taught alongside theory, so that graduates can move into research or industry without relearning the basics of professional work.
Journey
Academic & Professional Experience
A chronological view of academic appointments, research work and technology roles.
Academic & Research Experience
2025 – Present
Part-Time Lecturer
Amrit Science Campus, Tribhuvan University
Kathmandu
- Teach across the MIT, B.Sc. CSIT and BIT academic programs.
- Supervise master's level thesis work in applied deep learning.
2022 – Present
Head Technical Assistant - IT
Tribhuvan University, Amrit Science Campus
Kathmandu
- Administrative head of the Department of Computer Science and Information Technology across the MIT, B.Sc. CSIT and BIT programs.
- Production administration of the official web portal ac.tu.edu.np.
- Orchestrated localized deployment of campus office automation platforms.
- Directory administration of central university office mail domains.
2018 – 2019
Data Science & ML Research Intern
Kathmandu Institute of Applied Sciences
Kathmandu
- Executed spatial predictive analytics with remote sensing workflows using ArcGIS and QGIS.
- Programmed custom pipelines in Python and R for targeted data visualisation.
- Produced predictive spatial layouts evaluating localized species distribution models across Nepal.
Professional & Technical Experience
2019 – 2022
MIS Operator
Bungal Municipality
Bajhang, Nepal
- Maintained regional VERSP-MIS systems for social security provisioning and registration.
- Optimized core IEMIS databases tracking school performance diagnostic metrics.
- Lead administrator for the web delivery infrastructure bungalmun.gov.np.
2017 – 2022
Director of Research and Technology
Sikhar Tech Pvt. Ltd.
Kathmandu
- Engineered distributed software architectures tailoring institutional frameworks for civic bodies.
- Directed complete technical roadmaps for private enterprise applications.
Work
Selected Projects
Research prototypes, academic work and production systems I have designed or administered.
Research Project
Doteli Neural Machine Translation
Transformer-based translation system for the Doteli language, trained with back translation to expand a very small parallel corpus.
Doteli has almost no parallel corpora, so standard supervised NMT training is not viable.
PythonTransformerBack Translation
Academic Project
Nepali Currency Recognition
CNN-based recognition of Nepali banknote denominations, later extended in supervised thesis work with GAN-based data augmentation.
Limited, visually similar banknote imagery makes reliable denomination recognition difficult.
PythonCNNComputer Vision
Research Project
Species Distribution Modelling for Nepal
Geospatial predictive modelling of species distribution across Nepal using remote sensing data and custom analysis pipelines.
Ecological decision making needs spatial predictions from sparse, heterogeneous field and satellite data.
RPythonArcGISQGIS
Technical Project
Campus Digital Infrastructure — ac.tu.edu.np
Production administration of the Amrit Science Campus web portal, office automation platforms and university mail directory services.
A large public campus required reliable, locally administered digital services for staff and students.
LinuxWeb AdministrationOffice Automation
Technical Project
Municipal MIS Systems — bungalmun.gov.np
Administration of VERSP-MIS social security systems, IEMIS education databases and the municipal web delivery platform.
Local government needed dependable records for social security provisioning and school performance monitoring.
MISSQLWeb Administration
Academic Project
Bijulimapan
A machine learning driven power computation tool developed as undergraduate project work.
Estimating electrical power consumption without manual calculation.
Machine LearningPython
Stack
Technical Skills
Languages, research tooling and platforms I work with in research, teaching and system administration.
Programming Languages
- Python
- R
- PHP
- C
- C++
- Java
- JavaScript
- SQL
- HTML
- CSS
AI, ML & Data
- Deep Learning
- Machine Learning
- Neural Networks
- NLP
- Computer Vision
- Statistical Processing
- Data Visualisation
Frameworks & Environments
- Jupyter
- RStudio
- Shiny
- Android Studio
- Oracle
- ArcGIS
- QGIS
Scientific Writing & Graphics
- LaTeX
- Overleaf
- Inkscape
- GIMP
- MS Office Suite
Systems & Platforms
- Linux
- Windows Enterprise
- macOS
- VMware
- VirtualBox
- Web Server Administration
Contributions
Academic Contributions & Achievements
Workshops facilitated, training completed, academic events and technical competitions.
Workshop
Data Analytics Pipelines Using Python — Workshop
Facilitator and Principal Presenter
Training
Machine Learning Workshops — Developer Session
Completed specialized algorithmic segments
Academic Event
Machine Learning and Data Analytics Series
Participant, TU Central Department of CSIT
Competition
NASA International Space Apps Challenge
Active technical builder within the challenge track
Certification
Machine Learning, Neural Networks & Statistical Processing
Specialized verifications earned via Coursera and Udemy
Insights & Knowledge
Research notes and technical insights on artificial intelligence, machine learning, computer science and teaching are coming soon.
Document
Curriculum Vitae
Explore my academic, research and professional journey in full.
Akkal Bahadur Bist — CV
Research, teaching, experience, qualifications and technical expertise.
PDF · Updated August 2026
Contact
Let's Connect
Open to research collaboration, academic discussion, supervision enquiries and speaking invitations.
Phone
+977 9849781134Location
Kirtipur - 44618 (Bajhang), Nepal