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Bilkent University
Computer Engineering
Department
MSc and PhD Programs
Prof. Dr. H. Altay Güvenir
Research Areas
- Algorithms, artificial intelligence, big data, bioinformatics, cloud computing, computational biology, computational geometry, computer architecture, computer graphics, computer networks, computer vision, cryptography, data mining, data science, data security, database systems, graph visualization, high performance computing, image analysis, information retrieval, machine learning, mobile systems, parallel and distributed systems, pattern recognition, performance evaluation, scientific computing, virtual reality. 2
Interview
- Date: April 15, 2019; June 27 - 28, 2019
- If not uploaded during online application, hard copy documents to be submitted during interview: - Transcript - ALES or GRE score report - Proof of English Proficiency (TOFLE, IELTS or YDS report) 4
Acceptance requirements
- At least one faculty member willing to work with the applicant towards thesis
- Department approval
- Graduate School of Engineering and Science approval 5
Scholarship Options
- Project grants (other than TÜBİTAK projects)
- Tuition waiver
- Stipend (paid from the project budget)
- Accommodation
- Health Insurance (paid from the project budget)
- Additional Scholarship for Teaching Assistantship
- Office (shared)
- Graduate School scholarship
- Tuition waiver
- Additional Scholarship for Teaching Assistantship 7
Degree Requirements
- MSc ▪ 7 technical elective courses + Seminar + MS Thesis + Research Methods and Academic Publication Ethics course
- PhD ▪ 7 technical elective courses + Seminar + Qual Exam + PhD Thesis + Journal Publication Research Methods and Academic Publication Ethics course 8
Graduates of MS Program
10
- Bilkent Univ. in Turkey
- ASELSAN
- HAVELSAN
- TÜBİTAK
- Hacettepe Univ.
- METU
- TSK
- STM
- TCMB
- Vestel
- Cybersoft
- Garanti Teknoloji
- MilSOFT
- OpsGenie
- Sabancı Univ.
- Akdeniz Univ.
- Oracle
- Microsoft Abroad
- Google
- Amazon
- Booking.com
- Case Western Reserve Univ.
- Facebook
- Univ. California
- SAP
- U. of Massachusetts Amherst
- UBER
- EPFL
- ETH
- Imperial College
- Sandia National Labs.
- U. of Texas at San Antonio
- University of Florida
- University of Waterloo
- U. of Illinois at Urbana-Champaign
- Washington U. in St. Louis
Graduates of PhD Program 11 Faculty in Turkey, 25 , 69% Engineer in Turkey, 10 , 28% Co-founder in Turkey, 1 , 3% in Turkey PostDoc abroad, 8 , 25% Faculty abroad, 6 , 19% Engineer abroard, 17 , 53% Co-founder in abroad, 1 , 3% Abroad Position Count % Faculty in Turkey 25 69.4% Engineer in Turkey 10 27.8% Co-founder in Turkey 1 2.8% PostDoc abroad 8 25.0% Faculty abroad 6 18.8% Engineer abroard 17 53.1% Co-founder in abroad 1 3.1% İn Turkey 36 52.9% Abroard 32 47.1% Total: 68 100.0%
Faculty Members
- In alphabetic order (Please contact with them in person for details.) 13
My current research is two pronged:
i. contextual reasoning in AI
ii. public implications of the Internet
VAROL AKMAN
Public implications of the Internet Problems caused by tensions between local versus global, individual versus corporate, and democratic versus authoritarian in the framework of the Internet. More specifically: Basic concepts and history of the Internet as a socio-political medium. Free access to information in the networked world. The Internet as a trusted communications medium in light of security and privacy issues. Censorship and politics of the Internet vis-à-vis interventions by oppressive governments. Social movements in the 21st century marked by rapid broadcast of ideas and images. My grad course CS 513 treats such societal aspects of the Internet.
Selim Aksoy
http://www.cs.bilkent.edu.tr/~saksoy
Office: EA 422 (4th floor)
Research interests: ➢ Computer vision ➢ Pattern recognition ➢ Machine learning Current topics: ➢ Medical image analysis ➢ Remote sensing image analysis ➢ Image classification ➢ Object recognition ➢ Content-based image retrieval
Segmentation and
classification of
cervical cells
Classification of prostate biopsies
Medical Image Analysis
Content-based search of medical archives
Dr. Selim Aksoy
Medical Image Analysis
Different weakly supervised
learning scenarios
Whole slide imaging
(100,000 x 100,000 pixels, 30 GB/image)
Deep networks for region of interest detection
Dr. Selim Aksoy