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Contact:
Room No.: 511
Department of Computer Science & Engineering
ECE Building, West Palashi
Bangladesh University of Engineering & Technology
Dhaka-1000, Bangladesh.

Email:
himeldev AT gmail DOT com

Telephone:
Office:
Cell:
Residence:

Web page:
https://sites.google.com/site/himeldevportfolio/home

Himel Dev (হিমেল দেব)

Lecturer
Research Area:
Artificial Intelligence and Machine Learning
Graphics, Visualization and Human Computer Interaction
Database, Data mining and Information Systems

Research Interest:
Big Data Analytics
- Social Network Analysis
- Cloud Computing
- Crowdsourcing Systems
Academic Background:
B.Sc. in Computer Science and Engineering, 2014
Bangladesh University of Engineering & Technology.
Selected Publications:


Journal Papers:

Conference Papers:

1. H. Dev, Mohammed Eunus Ali, Jalal Mahmud, T. Sen, M. Basak, Rajshakhar Paul, A Real-Time Crowd-Powered Testbed for Content Assessment of Potential Social Media Posts, The 7th International Conference on Social Informatics (SocInfo), 2015.
2. H. Dev, Mohammed Eunus Ali, Tanmoy Sen, M. Basak, AntiqueData: A Proxy to Maintain Computational Transparency in Cloud, The Third International Workshop on Data Management for Emerging Network Infrastructure (DaMEN), DASFAA-14, 256-267, 2014.
3. H. Dev, Cassandra: A Crowdsourced Testbed for Content Assessment of Potential Social Media Posts, CHI Extended Abstracts on Human Factors in Computing Systems, 903-908, 2014.
4. H. Dev, A User Interaction Based Community Detection Algorithm for Online Social Networks, ACM SIGMOD International Conference on Management of Data, 1615-1616, 2014.
5. H. Dev, Privacy Preserving Social Graphs for High Precision Community Detection, ACM SIGMOD International Conference on Management of Data, 1607-1608, 2014.
6. H. Dev, Mohammed Eunus Ali, Tanzima Hashem, User Interaction Based Community Detection in Online Social Networks, 19th International Conference on Database Systems for Advanced Applications (DASFAA), 296-310, 2014.
7. H. Dev, T. Sen, M. Basak, Mohammed Eunus Ali, An Approach to Protect the Privacy of Cloud Data from Data Mining Based Attacks, 3rd International Workshop on Data Intensive Computing in the Clouds (Datacloud), 2012.