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)  (for Dalhousie administration & DeepSense) Phone: 902-494-7111 Fax: 902-492-1517 Skype: evangelosmilios Office: Room 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

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 upload your  CV, transcripts and statement of interest (in pdf format, please no Word or image files) to your Google drive folder, share the application folder with my gmail address (see top of this page), and send the link to my gmail address (please no email attachments, and do not send to my dal.ca address).
  
• Please name the application folder as YYYY-MM-ZZZ/ZZ-ZZZ-LastName, where:
  
• YYYY-MM is the term you are interested in starting (YYYY=year, MM=month, 09 (Sep), 01 (Jan), 05 (May))
• ZZZ/ZZ-ZZZ is pM-PhD (post-Master), MCS, pB-PhD (post-Bachelor)
• In your CV:
  
• Include the full names of the universities you attended, plus their acronym, city and country, and start and end month/year.
• Under work experience, please describe the nature of your work, technologies used, real problems tackled, and start and end month/year
• Include your peer-reviewed publication record, with full information (full conference or journal name, date, location of conference, publisher of journal or sponsoring organization of conference, URL of the digital library entry, journal volume/number, page numbers). If the paper is under review, please include a link to the submitted version, with a stamp "Confidential - Under Review" on the first page.
  
• Include the full titles of your theses, a link to the final versions in pdf (in any language) and a link to an english translation of the thesis abstracts. 
  
• Include your full contact information, home page URL, Google Scholar URL, LinkedIn URL as applicable.
  
• In your statement of interest, please indicate whether you are interested in text analytics or ocean data analytics or both.
• Explain any time gaps in your CV.

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