Istanbul Technical University

Signal Processing for Computational Intelligence Group

At SP4CING, we aim at designing signal processing techniques for computational intelligence applications. Our research covers problems in diversified fields, ranging from environmental monitoring to multi-modal surveillance, from bio-image analysis to remote sensing. Check out our research page for more information and learn more about our latest papers.


December 28, 2021

Medical Imaging Technologies and Artificial Intelligence Solutions

Dr. Abdulkerim Çapar, one of the members of our research group, made a presentation on "Artificial Intelligence in Genetic Diagnosis" at the "Artificial Intelligence in Health" symposium organized by the Turkish Health Institutes (TÜSEB). Click here for more information.

December 28, 2021

Argenit: a new player in the Turkey's genetic diagnosis systems.

Artificial intelligence-based genetic diagnosis systems developed by Argenit, of which Dr. Abdulkerim Çapar - member of our research group - is a partner, were reported in the Sabah newspaper.

September 4, 2021

TÜBİTAK - 1001 Research Proposal is Approved!

Our grant proposal "Video Understanding in Compressed Domain" is approved by TÜBİTAK.
We are thrilled to research on this exciting topic that, we believe, will pave the way for the development of better performing and computationally efficient video analytics algorithms. List of research outcomes on compressed domain video analytics by our group's earlier efforts:

In this project, we are collaborating with Dr. Kasım Taşdemir.

March 31,2021

The Journal of Imaging - Special Issue on Applications of Artificial Intelligence and Computer Vision on Fire and Smoke Detection

Due to recent advances in artificial intelligence, image and video analysis, and machine learning techniques, as well as progress in enabling technologies, such as semiconductor device design and fabrication, volumetric fire detection methods yield superior results, as compared to other methods and point detectors. These developments pave the way for embedded computer vision systems equipped with lenses and cameras attached to computing platform which process an acquired sequence of images. The Journal of Imaging Editorial Board launches this call for papers for a Special Issue on “Applications of Artificial Intelligence and Computer Vision on Fire and Smoke Detection”. Deadline for manuscript submissions: 15 October 2021. Read more here.

March 31,2021

Call For Papers: 9th Intl. Workshop on Computational Intelligence for Multimedia Understanding - (IWCIM 2021)

The International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) is the annual workshop organized by the working group Multimedia Understanding through Semantics, Computation, and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM). This year, IWCIM takes place as a satellite workshop to ICCCI 2021, to be held in Rhodes, Greece on September 28 - October 1, 2021. Read more here.

March 17, 2021

Lecture on 'Fairness in Healthcare AI: Challenges and Opportunities'

The March session of the ATHENS (Advanced Technology Higher Education Network/ Socrates) program was carried out online by the member institutions from 15-19 March 2021. Istanbul Technical University has been a member of the ATHENS network since 2007 ( Dr. Töreyin offered the course "ITU INF21 - Introduction to Artificial Intelligence and Machine Learning” in the ATHENS week. As part of the course, two guest lecturers, Dr. Carly Eckert and Dr. Muhammad Aurangzeb Ahmad delivered a talk on “Fairness in Healthcare Al: Challenges and Opportunities”. Dr. Carly Eckertis a preventive medicine physician and epidemiologist and she has worked in the healthcare AI industry for 4 years, collaborating closely with data scientists developing and implementing machine learning solutions in healthcare. Dr. Muhammad Aurangzeb Ahmad is an Affiliate Assistant Professor in the Department of Computer Science at the University of Washington and a Research Scientist at KenSci, an AI in healthcare company based in Seattle, USA. The recording of the lecture can be accessed here. Slides of the lecture can be downloaded here.