Ongoing projects (Devam eden projeler):

1. "EUPilot - Yapay Zeka Hızlandırıcı Çipleri Geliştirilmesi" (Avrupa Birliği Projesi, 2024)

2. "Derin Öğrenme ile Kuantum Sonrası Kriptografi Algoritmalarının Kırılganlıklarının Tespiti" (TÜBİTAK BİLGEM, 2024)

3. "Otomotiv Süspansiyon ve Yönlendirme Parçaları için Yapay Zeka Tabanlı Maliyet Tahminleme Yazılımı Geliştirilmesi" (TÜBİTAK 1711 Yapay Zeka Ekosistem Çağrısı, 2024)

4. "İlaç Keşfinde Yapay Zeka Destekli Yüksek Performanslı Algoritmalar" (Boğaziçi Üniversitesi, BAP, 2023)

5. "BataryaZEKASI - Yapay Zeka ve Bulut Tabanlı Batarya İzleme Platformu" (TÜBİTAK 1512 BİGG, 2022)

6. "Yapay Zeka ve Hesaplamalı Kuantum Mekaniği ile Yeni Nano Malzemelerin Keşfi" (TÜBİTAK 3501, 2021)

News & Research

• BAŞARIM2022'den Yapay Zeka ile Hızlandırılmış Nano-Malzeme Keşfi başlıklı konuşmam. Video burada.

• Teaching EEE301 Stochastic Processes to EEE undergrads in Fall 2021. Every Thursdays between 1-5pm at #317, Vadi Campus, İstinye University. Textbook: Probability, statistics, and random processes for electrical engineering by Leon-Garcia.

• Our tutorial Physics Inspired Models In Artificial Intelligence presented at Knowledge Discovery and Data Mining (KDD2020) is now available online. Abstract here. Video here.

• Grafen projemiz haberlerde: İTÜ’lü Bilim İnsanlarının Nanoteknoloji Projelerine Önemli Destek.

• Our graphene project received ₺1,000,000 (~$170,000) funding from İstanbul Technical University (Jan 2020).

İTÜ faculty Levent Trabzon, Caner Ünlü, Mehmet Ramazanoğlu and myself received funding of ₺1M for our project Design, Fabrication, Characterization of Scalable Nano-Enhanced Quantum Solar Cells. I do the density functional theory (DFT) calculations of the doped graphenes.

• My Condensed Matter Field Theory classes have started on 5 Dec 2018.

Classes are on Wednesdays at Istanbul Technical University. Email me for more info. Book: Condensed Matter Field Theory by Altland & Simons, 2nd. ed.

• Surface physics.

Simulation of random deposition with relaxation to compute surface roughness.

• Machine Learning for Physics

Some papers here.

Email me for free subscription for the DataCamp Python & R machine lerning lectures.

• Soft condensed matter

Bulk-surface correspondence and surface fractal dimension in liquid crystal mixtures. Liquid crystals with aerosil particles within:

• Monte Carlo study of liquid crystals (à la Lebwohl-Lasher lattice spin model).

• Heavy-ion collisions and Quark Gluon Plasma

Charmonium dissociation in quark gluon plasma via stochastic Fokker-Planck Equation. The charmonium density descreases as charmonia melt in quark-gluon plasma.

• The "ridge" correlations in p-p and p-Pb collisions at LHC from gluon saturation physics (Color Glass Condensate/Glasma). By means of the superdiagramatic technique I developed, one can calculate the n-gluon correlations by calculating n-2 diagrams rather than calculating approximately (2n-1)!! glasma diagrams.