Evangelos E. Milios
University Research Professor & DeepSense Scientific Director

Dipl. Eng. ElecEng, NTUA, Greece (1980)
S.M., E.E. M.I.T. (1983), Ph.D. M.I.T. (1986)
Killam Chair in Computer Science (2006-2011) (Killam Trusts)
Senior Member of the IEEE
Professional Engineer (Ontario).

Address: Faculty of Computer Science, Dalhousie University,
Goldberg Computer Science Building,
6050 University Avenue, PO Box 15000,
Halifax, Nova Scotia, Canada B3H 1W5
Personal Home Page: http://www.cs.dal.ca/~eem
email:
  
(for research and personal)
 
eem email(for Dalhousie administration & DeepSense)
Phone: 902-494-7111 Fax: 902-492-1517

Skype
: evangelosmilios
Office
: R
oom 436

Google Calendar (choose week tab)
Linkedin: https://www.linkedin.com/in/evangelos-milios-2973685/
Google Scholar: https://tinyurl.com/mhu65ye

Research Interests: Visual Text Analytics, Modelling and Mining of Networked Information Spaces, Text Mining, Graph Mining, Social Network Analysis.

Short biography
Uniweb CV


Research

Teaching
Administration

Affiliations
Machine Learning and Networked Information Spaces (MALNIS)
Institute of Big Data Analytics

DeepSense
 

Graduate student positions available

Semantic analysis of text documents

Exploiting semantic analysis of text documents in problems of sense making, high recall information retrieval and interactive clustering and visualization of document collections. Focusing on methods that draw upon large knowledge corpora like Wikipedia, word and term embeddings derived from domain-specific text corpora, and deep networks capturing document semantics. Seeking PhD students,
both post-Master's and post-Bachelor's.
Admission requirements include: (a) A GPA of at least A- (16/20, 8/10) in math & computer science courses, and (b) a publication record demonstrating aptitude in research.

Instructions on what/how to provide:

Please be aware that an application is reviewed by the graduate committee of the Faculty of Computer Science. Support by a prospective supervisor makes admission highly likely but does not guarantee it. Full funding is a combination of supervisor grant funds and Faculty scholarship funds. The latter may be exhausted any time. PhD admissions are only made with full funding. MCS admissions may be made with full, partial or no funding. 

Graduate resources

Wikimedia Foundation
Aug. 1, 2019