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Genel Hasta Dagilimi
New Project on Alzheimer's Disease Funded by TUBITAK

Investigating the Conversion Between Mild Cognitive Impairment and the Alzheimer’s Disease using Artificial Intelligence Alzheimer's disease negatively affects the life quality Read more...
Bogazici University Virtual Reality Lab (BUViaR Lab) is established

    BUViaR is a research laboratory founded with the “Multidisciplinary Project Support” funding scheme provided by the Scientific Research Projects Coordination Unit (BAP) of Read more...
Cem Say's popular science book "En Hakiki Mürşit" ("The Truest Guide") is published

Cem Say's third popular science book, "En Hakiki Mürşit" ("The Truest Guide") has been published by Doğan Kitap. The book is the story of science, both as a way of thinking and as Read more...
Özlem Durmaz İncel received the Young Scientist Award from the Science Academy

Assoc. Prof. Özlem Durmaz İncel has been awarded the Young Scientist Award (BAGEP 2021) by the Science Academy in Computer Engineering category.  Please see the details of the Read more...
Arzucan Özgür received the Excellence in Research Award from Boğaziçi University Foundation (BÜVAK)

Arzucan Özgür received the Excellence in Research Award from Boğaziçi University Foundation (BÜVAK), Congratulations! Read more...


CmpE Events


  1. MS Thesis Defense - Meliksah Turker - Multi-layer Network Approach in Modeling Epidemics in an Urban Town
    • Start time: 10:00am, Friday, May 27th
    • End time: 11:00am, Friday, May 27th
    • Where: Zoom
    • The last two years have been an extraordinary time with the Covid-19 pandemic killing millions, affecting and distressing billions of people worldwide.  Authorities took various measures such as turning school and  work to remote and prohibiting social relations via curfews.  In order to mitigate the negative impact of the epidemics, researchers tried to estimate the future of the pandemic for different scenarios, using forecasting techniques and epidemics simulations on networks. Networks used in these research are either synthetic networks or real networks with limited size and domain specific interactions.  Hence, their ability to represent the world is limited.Intending to represent real-life in an urban town in high resolution, we propose a parametric multi-layer undirected weighted network model, where vertices are the individuals of a town that tend to interact locally, and edges represent transmission probability.  Each layer corresponds to a different interaction that occurs daily,  such as ``household'', ``work'' or ``school'', with their own transmission probability. Our simulations indicate that locking down “friendship” layer  has the highest impact in slowing down epidemics. Hence, our contributions are twofold, first we propose a parametric network generator model; second, we run SIR simulations on it and show the impact of layers.

    • View this event in Google Calendar

Friday, June 3rd

  1. MS Thesis Defense - Kerim Gökarslan - Achieving Ultra-Reliable Low Latency (URLLC) in Next-Generation Cellular Networks with Programmable Data Planes
    • Start time: 01:30pm, Friday, June 3rd
    • End time: 02:30pm, Friday, June 3rd
    • Where: Zoom
    • Recent advancements in wireless technologies towards the next-generation cellular networks have brought a new era that made it possible to apply cellular technology on traditionally-wired networks with tighter requirements, such as industrial networks. The next-generation cellular technologies (e.g., 5G and Beyond) introduce the concept of ultra-reliable low-latency communications (URLLC). This thesis presents Software Defined Networking (SDN) architecture with programmable data planes for the next generation cellular networks to achieve URLLC. Our design deploys programmable switches between the cellular core and Radio Access Networks (RAN) to monitor and modify data traffic at the line speed. We introduce the concept of intra-cellular optimization, a relaxation in cellular networks to allow pre-authorized in-network devices to communicate without being required to signal the cellular core network. We also present a control structure, Unified Control Plane (UCP), containing a novel Ethernet Layer control protocol and an adapted version of link-state routing for user equipment (UE) information distribution among the programmable switches. We implement our proposed architecture using P4 with a 5G implementation (Open5Gs) and a UE/RAN simulator. We further implement a Python simulator to evaluate the performance of our system on multi-switch topologies by simulating the switch behavior. Our extensive evaluation indicates latency reduction up to 2xwith intra-cellular optimization compared to the conventional architecture. We finally show that our design has a ten-millisecond level of control latency, and achieves fine-grained network security and monitoring capabilities.

    • View this event in Google Calendar

CmpE Announcements


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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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