Rajani Chulyadyo, PhD

KU-staff
Lecturer,
Department of Computer Science and Engineering, School of Engineering
Kathmandu University, Dhulikhel, Nepal
011-415100
rajani.chulyadyo@ku.edu.np
Bio
Research
Publication
Biography


Education

Oct 2013 - Oct 2016: PhD in Machine Learning and Data Mining

Université de Nantes, France

Title: A new horizon for the recommendation: Integration of spatial dimensions to aid decision making

Sep 2011 - Jul 2013: Master Erasmus Mundus in Data Mining and Knowledge Management

Université Lyon 2 (France), Université de Nantes (France), Université Paris 6 (France), Universitatea Politehnica din Bucuresti (Romania)

Sep 2003 – Jan 2008: Bachelor in Computer Engineering

Pulchowk Campus, Tribhuvan University, Nepal

Academic Positions

Aug 2018 - Present: Lecturer

Department of Computer Science and Engineering, School of Engineering, Kathmandu University, Nepal

Jul 2010 – Apr 2011: Course Instructor

Department of Electronics and Computer Engineering, Pulchowk Campus, Tribhuvan University, Nepal

Dec 2008 - Apr 2009: Lab Instructor

Himalaya College of Engineering, Nepal

Professional Experience

May 2017 – Jun 2018: R&D Engineer

Capacités SAS ● Université de Nantes, France

Oct 2013 – Oct 2016: PhD Researcher

Laboratoire d’Informatique de Nantes Atlantique (cka Laboratoire des Sciences du Numérique de Nantes) ● DataForPeople, France

Aug 2013 – Oct 2013: Senior Software Engineer

meroJob.com, Nepal

Feb 2013 – Jul 2013: Intern (Research and Development)

Laboratoire d’Informatique de Nantes Atlantique, France

Jul 2012 – Jul 2012: Intern (Research and Development)

Laboratoire d’Informatique de Nantes Atlantique, France

Mar 2008 – Aug 2011: (Senior) Software Engineer

D2HawkeyeServices Pvt. Ltd. (nka Cotiviti Nepal Pvt. Ltd.), Nepal

Aug 2007 – Feb 2008: Intern

D2HawkeyeServices Pvt. Ltd. (nka Cotiviti Nepal Pvt. Ltd.), Nepal

May 2007 – Jul 2007: Intern

meroJob.com, Nepal

Research

Research Interests

  • Recommender Systems
  • Statistical Relational Learning
  • Probabilistic Graphical Models
  • Geographical Data Analysis

Publication
  • Chulyadyo, R., & Leray, P. (2018). Using Probabilistic Relational Models to generate synthetic spatial or non-spatial databases. 12th International Conference on Research Challenges in Information Science (RCIS)
  • Chulyadyo, R., & Leray, P. (2017). A Framework for Offline Evaluation of Recommender Systems based on Probabilistic Relational Models. Technical Report, Laboratoire des Sciences du Numérique de Nantes; Capacités SAS
  • Chulyadyo, R. (2016). A new horizon for the recommendation: Integration of spatial dimensions to aid decision making. Doctoral dissertation, Université de Nantes
  • Ishak, M. B., Chulyadyo, R., & Leray, P. (2016). Probabilistic relational model benchmark generation. arXiv preprint arXiv:1603.00709.
  • Chulyadyo, R., & Leray, P. (2015). Integrating spatial information into probabilistic relational models. IEEE International Conference on Data Science and Advanced Analytics (DSAA)
  • Chulyadyo, R., & Leray, P. (2014). A Personalized Recommender System from Probabilistic Relational Model and Users' Preferences. KES
  • Chulyadyo, R., Harzallah, M., & Berio, G. (2013). Core Ontology based Approach for Treating the Flatness of Automatically Built Ontology. KEOD