Doctoral School of Computer Science


tanari_informatika_01Chair: Prof. Zoltán Fülöp DSc
Institute of Informatics
H–6701 Szeged, P. O. Box 652., Hungary
Phone: (+36 62) 544 302,
E-mail: fulop@inf.u-szeged.hu


The School requires active and productive research work under the supervision of the thesis adviser, the completion of five courses, and active participation at the seminars of the Institute of Informatics. The courses embrace a number of fields in computer science. Some representative courses are shown below at the description of the main research areas. A course may be offered as a reading course if enrolment is low. In such cases consultation is provided.



Application procedure

  • Requirements: at least intermediate level (B2) certified by an internationally accredited language examination (TELC/ECL B2, TOEFL IBT 72, RPDT 72, Cambridge FCB, IELTS 5.5)
  • Application deadline: 15 May
  • Application fee: 35 EUR
  • Tuition fee: 5000 EUR / semester
  • Entrance examination fee: 100 EUR


Exemption from English language exam certificate:

During the application to the programmes of the Faculty of Science and Informatics those applicants are not required to provide the English language exam certificates who are natives of one of the following countries and can officially demonstrate that their academic studies have been conducted in English.

However, these students will also have to obtain an international language proof B2 level by the end of their studies or for the PhD process.

Countries concerned:

  • Antigua and Barbuda
  • Anguilla
  • Australia (also Christmas Island, Norfolk Island, Keeling Islands, Cocos Islands)
  • Bahamas
  • Barbados
  • Belize
  • Bermuda
  • Botswana
  • British Antarctic Territory (also British Antarctica, Antarctica British)
  • British Indian Ocean Territory (also Chagos Archipelago, Indian Ocean Territory (British))
  • British Virgin Islands
  • Canada
  • Cayman Islands
  • Channel Islands
  • Dominica
  • Falkland Islands
  • Ghana
  • Gibraltar
  • Grenada
  • Guyana
  • Irish Republic
  • Jamaica
  • Kenya
  • Lesotho
  • Malta
  • Montserrat
  • Namibia
  • New Zealand (also Niue, Tokelau, Cokelau, Cook Islands)
  • Nigeria
  • Seychelles
  • Singapore
  • St Kitts and St Nevis
  • St Lucia
  • St Vincent and the Grenadines
  • Trinidad and Tobago
  • Turks and Caicos Islands
  • Uganda
  • UK
  • USA
  • Zimbabwe

General research areas


1. Theoretical Computer Science


Research topics

From the theory of automata and formal languages, which is now considered a classical field, to the most up-to-date topics such as advances in computational complexity, term rewriting, tree automata and tree transformations, mathematical semantics of programming languages, process algebras, theory of fixed points, temporal logic, semirings.

Supervisors: Sz. Iván, Z. Fülöp, S. Vágvölgyi.


Representative courses

– Automata and formal logic (Sz. Iván)
– Tree Automata (Z. Fülöp)
– Quantum computing (S. Vágvölgyi)

 

2. Operations Research and Combinatorial Optimization


Informatikai és Matematikai doktorandusz Konferencia

Research topics

Theory of economic decisions, multicriteria decision making, group decisions, fuzzy theory, learning algorithms, global optimization, reliable numerical procedures, interval inclusion functions, process network synthesis, bin packing algorithms, online optimization, scheduling, logistic.

Supervisors: B. Bánhelyi, T. Csendes, J. Csirik, J. Dombi, M. Krész, F. Móricz, A. Pluhár, T. Vinkó.

 

Representative courses
– Global optimization (T. Csendes)
– Game theory (A. Pluhár)
– Network science (T. Vinkó)

 

3. Software engineering


Informatikai és Matematikai doktorandusz Konferencia

Research topics

Software engineering topics: advanced programming paradigms, theory of compilers, compilation of embedded systems, legacy system analysis, program slicing, software maintenance and reengineering, software dependencies, object-oriented design and development, web programming, databases and data mining, network protocols, formal specification and testing of protocols, distributed programming, software testing.

Supervisors: Á. Beszédes, R. Ferenc, T. Gyimóthy, A. Kertész

 

Representative courses

– Software reengineering (T. Gyimóthy)
– Impact Analysis and Software Maintenance (Á. Beszédes)

– The duplicated code antipattern and its connection to software evolution (R. Ferenc)
– Cloud computing (A. Kertész)


4. Artificial intelligence

 

Research topics

Artificial intelligence: frame and rule based knowledge representation, machine learning algorithms (decision trees, genetic algorithms, neural networks), complexity of the machine learning algorithms, natural language processing, speech recognition, peer-to-peer network.

Supervisors: J. Csirik, J. Dombi, R. Farkas, M. Jelasity, L. Tóth, P. Csermely

 

Representative courses
– Self organizing algorithms (M. Jelasity)
– Randomized algorithms (J. Csirik)

– Fuzzy theory (J. Dombi)

– Intelligent human-machine interactions (R. Farkas)


5. Image processing

 

Research topics

Image processing and applications: image reconstruction from projections, discrete tomography, medical image analysis, image segmentation, image registration and fusion, computer vision, skeletonization and its applications, discrete geometry and topology. Supervisors: P. Balázs, Z. Kató, A. Nagy, L.G. Nyúl, K. Palágyi

 

Representative courses
– Skeletonization in image processing (K. Palágyi)
– Variational methods in image processing (Z. Kató)

– Fuzzy techniques in image processing (L.G. Nyúl)

– Image reconstruction (P. Balázs)


6. Electrical and computer engineering

 

Research topics

FPGA implementation of emulated digital CNN-UM, FPGA based image and signal processing

Noise and fluctuations in various systems, applications in secure communications, multidisciplinary research.

Robotics, trajectory tracking, pneumatic artificial muscles, fuzzy control

Sensors, sensor networks, embedded systems, sensor signal processing.

Software-defined instrumentation, multidisciplinary applications

Supervisors: Z. Gingl, Z. Kincses, M. Maróti, Sz. Pletl

 

Representative courses

– Adaptive signal processing (Sz. Pletl)
– Control therory (Sz. Pletl)
– FPGA based digital control (Z. Kincses)

– Systems identification (Sz. Pletl)
– Noise and fluctuations (Z. Gingl)
– Real-time measurement and control (R. Mingesz)

– Software defined medical instrumentation (Z. Gingl)

– Wireless sensor networks and embedded systems: modelling and verification (M. Maróti)

 

Potential research topics for applicants

A list of potential research topics is available at

http://www.inf.u-szeged.hu/en/education/doctoral-school/documents

Representative dissertations

A list of former dissertations is available at:

http://www.inf.u-szeged.hu/en/education/doctoral-school/students-received-phd-degree

 

Research reports

Reports on the research at the Institute of Informatics of the University of Szeged are available at:

http://www.inf.u-szeged.hu/kutatas/beszamolok


Further information

Study Programme:

Dr. Péter Balázs
Faculty of Science and Informatics, Institute of Informatics
Phone: (+36 62) 544 283
E-mail: pbalazs@inf.u-szeged.hu

 

Application, Scholarships:

Dr. Tamás Vinkó
Faculty of Science and Informatics, Institute of Informatics
Phone: (+36 62) 546 193
E-mail: tvinko@inf.u-szeged.hu

 

Website: http://www.inf.u-szeged.hu/en/education/doctoral-school