**• ** 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.