Title   Unleashing the Power of Data: Techniques for Effective Feature Engineering
Speaker   Tanzeela Javid Kaloo
Advisors   Ender Mete Ekşioğlu
Date   May 17, 2023
Time   15:30 (GMT +3)
The process of feature extraction involves picking out important properties from data while ignoring unnecessary or unimportant ones. Good feature engineering is crucial because it can highlight trends and connections that could be obscured in raw data. It is a crucial stage in creating machine learning models since it has a big effect on how well they operate. Statistics, subject area knowledge, and creative thinking are all essential skills for feature engineering. Feature extraction, selection, and treatment of missing data, outliers, and unbalanced classes are all part of the procedure. By incorporating both fresh and existing features, feature extraction algorithms are able to recognize complicated relationships. To make sure that characteristics are comparable and the same size, normalizing and scaling are often employed procedures. Moreover, categorical variables can be binned and encoded to transform features into numerical data that machine learning models can use. An emerging field called automated feature engineering uses machine learning to find and create the best features for improved model performance.
Title   Investigation of Drug Resistance Mechanisms for Antiandrogen Prostate Cancer Drug Enzalutamide using Molecular Dynamics Simulations
Speaker   Behzad Aslani Avilaq
Advisors   Sefer Baday
Date   May 17, 2023
Time   16:00 (GMT +3)
Prostate cancer is the second most common cancer type in men after lung cancer. Androgen Receptor (AR) signaling is responsible for cell growth and duplication in prostatic cells. In time of this study, several drug molecules have been developed for treatment of prostate cancer. In clinical studies, Enzalutamide (ENZ) as a second-generation anti-androgenic drug is shown to reduce radiographic progression significantly and delay the need for chemotherapy. ENZ inhibits the AR and prevents the AR signaling; however, after some time resistance against ENZ occurs, and two-point mutations as F876I, and F876L abolish the antagonistic activity of ENZ. Literature suggests that displacement or instability of Helix12 (H12) might be causing the switch between antagonistic to agonistic activity of AR. However, specific interactions that lead to instability of helix12 remain unclear. In the current study we performed μs-long AR-ENZ Molecular Dynamics (MD) simulations and utilized advanced analysis techniques. Results suggest that upon ENZ binding, unbending of H11 leads to loss in stability of H12. In other words, this study found an important pathway of interactions in AR that change the antagonist-AR to agonist- AR; thus, resulting in resistance against ENZ.
Title   User Authentication through Mouse Dynamics Paper Replication
Speaker   Oğuzhan Salman
Advisors   Kemal Bicakci
Date   May 24, 2023
Time   15:30 (GMT +3)
The field of Mouse Dynamics seeks to mitigate the risk of unauthorized access to computer systems through the utilization of behavioral analytics, which entails the examination of an individual’s mouse usage during digital interactions with the aim of identification. Despite the limited literature pertaining to the refinement of the accuracy of Mouse Dynamics, as of 2022, there are currently no commercially available products that allow for the practical application of this technology in daily life. While analogous techniques, such as Keyboard Dynamics, which employ keystroke analysis, have been implemented in commercial products, Mouse Dynamics remains unavailable to the general population. Therefore, the objective of this paper is to replicate the findings of a recent study and investigate the feasibility of implementing Mouse Dynamics for the general populace.
Title   Energy Efficient Offloading Decision for Multi-Access Edge Computing Enabled UAV Swarms
Speaker   Homa Maleki
Advisors   Lutfiye Durak-Ata
Date   May 24, 2023
Time   16:00 (GMT +3)
Recent developments in unmanned aerial vehicle technology have given UAVs more processing and storage resources, paving the way for the concept of edge computing-enabled UAV networks. In this project, we investigate a cooperative multi-agent computation offloading framework in a UAV swarm in which flying UAVs with missions can offload part of the missions to neighboring UAVs or fixed edge servers placed at Next Generation Node B (gNB) to decrease the total energy consumption of all devices during a core mission by leading them to make steady sequences of offloading decisions under uncertainties of the dynamic environment.

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.