Title   Machine Learning and It's Applications in Biomedical Field
Speaker   Muhammet Melih Güler
Advisors   Onur Kurt
Date   May 3, 2023
Time   13:30 (GMT +3)
Abstract   Aim is basically separation of BCC & Normal human cells by preprocessing data and using different machine learning techniques. Dataset is from real human cell samples which is processed by Raman spectroscopy.
Title   Machine Learning in Gene-Networks Using High-Dimensional Modelling
Speaker   Furkan Aydın
Advisors   Süha Tuna
Date   May 10, 2023
Time   13:30 (GMT +3)
Meeting Type   Zoom
You may contact the relevant person.
Abstract   The paper will introduce a model for separating healthy and diseased genes. To achieve that, features should be extracted in gene data for being used in machine learning models. After feature extraction, the genes will become suitable for machine learning models. Finally, a machine learning model will be trained.
Title   Risk-based real time attack detection using mitre att&ck framework
Speaker   Samet Baysal
Advisors   Behçet Uğur Töreyin
Date   May 10, 2023
Time   14:00 (GMT +3)
Meeting Type   Zoom
You may contact the relevant person.
Abstract   In recent times, attackers are continuously developing advanced techniques for evading security, stealing personal financial data, Intellectual Property (IP) and sensitive information. These attacks often employ multiple attack vectors for gaining initial access to the systems. Analysts are often challenged to identify malware objective, initial attack vectors, attack propagation, evading techniques, protective mechanisms and unseen techniques. Most of these attacks are frequently referred to as Multi stage attacks and pose a grave threat to organizations, individuals and the government. Early multistage attack detection is a crucial measure to counter malware and deactivate it. Most traditional security solutions use signature-based detection, which frequently fails to thwart zero-day attacks. Manual analysis of these samples requires enormous effort for effectively counter exponential growth of malware samples. In this paper, we present a risk-based approach leveraging MITRE Adversary Tactic Technique and Common knowledge (ATT&CK) framework for early multistage attack detection in real time.

İTÜ Informatics Institute


ITU Informatics Institute provides graduate-level education and research in applied informatics, computer sciences, computational science and engineering, communication systems under the following programs.

Faculty members and students conduct research supported by national and international organızatıons in the fields of electromagnetic fields, communication systems/regulations, computational materials design, computational chemistry/biology, cryptography, signal/data processing/visualization, big data management, climate and ocean sciences, 

  • List of Most Influential Scientists; Associate Professor. B. Uğur Töreyin (article by Dr. John PA Ioannidis, K. W. Boyack and J. Baas published in the journal PLOS Biology)
  • Beltus Nkwawir Wiysobunri, the best project award in the Science category, in the 2020 International Students Project Competition
  • Argenit company, of which Dr. Abdulkerim Çapar is among the founding partners, received the "National-International Supports" First Prize of ITU ARI Teknokent.
  • TÜBİTAK 2242 University Students Project Competition in Priority Areas: Istanbul region first place - Ahmet Burak Özyurt
  • Best Presentation Award at ICAT'18 Conference: Sena Efsun Cebeci, 2018
  • Tubitak Incentive Award; 2016 Assoc. Prof. Adem Tekin
  • “Technical Paper” and “Willis H. Carrier” Award by the American Heating, Cooling and Air Conditioning Association; 2016 Assist. Prof. Dr. H. Salih Erden
  • Science Heroes Association Young Scientist of the Year Award; 2016 Assoc. B. Uğur Töreyin Best Poster Award at PRACEdays 2016 conference; Samet Demir
  • ITU Most Successful Thesis Award; 2016 Hatice Gokcan

There is also a High Performance Computing Laboratory established with the support of the State Planning Organization within the Institute.