cv
Basics
Name | Manoj Shakya |
Label | Assistant Professor |
[email protected] | |
Phone | (977) 9841222837 |
Url | https://manojshakya.com.np |
Summary | My Research interests include Artificial Intelligence, Machine Learning, Reinforcement Learning, Data Science and their applications. |
Work
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2008 - Present Assistant Professor of Artificial Intelligence
Kathmandu University
Teaching at Department of Computer Science and Engineering. I lead Data Science and Artificial Intelligence Lab.
- Artificial Intelligence
Education
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2019.08 - 2024.08 Singapore
Doctor oh Philosophy
Nanyang Technological University, Singapore
Artificial Intelligence and Data Science
- Deep Reinforcement Learning
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2003.08 - 2006.07 Hunan, China
Publications
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2022.06 Reinforcement learning approach for multi-period inventory with stochastic demand
Manoj Shakya et.al.
IFIP International Conference on Artificial Intelligence Applications and Innovations (2022)
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2022.12 A Deep Reinforcement Learning Approach for Inventory Control under Stochastic Lead Time and Demand
Manoj Shakya et.al.
IEEE Symposium Series on Computational Intelligence(2022)
Skills
Computing | |
Machine Learning | |
Data Structures | |
C/C++/Java/Python Programming | |
Data Mining | |
Data Science | |
Algorithms Complexity |
Languages
Nepali | |
Native speaker |
English | |
Fluent |
Interests
Computing | |
Appied Artificial Intelligence (Education, Business, SDGs) | |
Deep Reinforcement Learning | |
Programming |
Projects
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2016 - 2017
MOOC for Higher Education in Nepal
The paper examines how massive open online courses (MOOCs) could be designed and developed by higher education institutions (HEIs) in Nepal to leverage the potential of MOOCs for greater access to education. A MOOC on “Fundamental Concepts of C Programming” was designed and developed as part of the sub-project. The report offers information about teachers’ and learners’ perceptions of MOOCs in the first MOOC offered by Kathmandu University in Nepal. It includes a breakdown of frequency of use of computer applications (browsers, Internet, facebook, YouTube etc.). Slow Internet access and lack of time are constraints to MOOC participation and course completion.
- Budget = ~$30000
- Massive Open Online Coureses
- Higher Education in Nepal
- Full report