Ghufran Khan
Phd Student
Cedar Team
Ghufran Khan
Phd Student
Cedar Team
I am a PhD student in the CEDAR team, a collaboration between INRIA and Institut Polytechnique de Paris. Before that, I was a research associate at TU Dresden, Germany. I received my MS in computer engineering from the GIK Institute Topi, Pakistan.
My research interests are graph database systems, parallel graph data processing, big data storage and indexing, transactional
systems data mining, and machine learning.
"Scalable Analytics on Multi-Streams Dynamic Graphs", [ BDA 2023: 39th Conference on Data Management – Principles, Technologies and Applications, 2023]
Angelos Christos Anadiotis, Muhammad Ghufran Khan, and Ioana Manolescu. “Dynamic Graph Databases with Out-of-order Updates”. In: International Conference on Very Large Data Bases (VLDB) (2024) (My PhD work).
"An efficient approach for faster matching of approximate patterns in graphs", [ Knowledge-Based Systems 276 (2023)] paper
"Touch identification on sen- sitive robot skin using time domain reflectometry and machine learning methods”, [ Artificial Intelligence for Digitising Industry Applications Book Chapter 3.4 2021]
"On the efficient representation of datasets as graphs to mine maximal frequent itemsets", [IEEE transactions on knowledge and data engineering (2019)] paper
Gold Medalist in MS Computer Engineering GIKI
Award Dean’s Honour Roll on behalf of Academic Highest Distinction in FALL 2018, Spring 2018, FALL 2017 semester (4.00/4.00 CGPA) by GIK Institute, Pakistan
Award Fully Funded Scholarship Graduate Assistantship (GA-1) Scheme in GIK Institute, Pakistan
Gold Medalist in BS computer Science, COMSATS University, Pakistan
Winner speed programming competition Megathone-16 Code Crunch 2.0 IMScience Peshawar, Pakistan