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PhD

Yale University, New Haven, CT

Electrical and Computer Engineering

MS

Bogazici University, Istanbul, TR

Electrical and Electronics Engineering

BS

Bogazici University, Istanbul, TR

Physics

BS

Bogazici University, Istanbul, TR

Electrical and Electronics Engineering

Graduate Research Assistant

RADIO Lab, Yale University

• Distributionally robust stochastic optimization for resource allocation in wireless networks
• Risk-averse optimization via dual representation of coherent risk measures

Graduate Research Assistant

Nanonetworking Research Group, Bogazici University

• Channel impulse response modeling and capacity analysis of molecular MIMO topologies
• Implementation of molecular index modulation-based communication schemes
• Molecular communication modulations based on deep learning methods

Risk-Aware Resource Allocation for Robust Wireless Autonomy

Distributionally robust optimization for resource allocation in wireless autonomy. The duality with coherent risk measures emphasizes risk-averse stochastic programming, yielding ultra-reliable and efficient policies. A unified theory of distributionally robust optimization framework is developed, including comprehensive analysis.

• Distributionally Robust Optimization
• Risk-Averse Decision-Making

Design of Index Modulation-Based Molecular Communication Systems

Comprehensive analysis on molecular multiple-receiver systems, in terms of communication performance and channel characteristics. Additionally, an elaborate channel modeling is developed for molecular multiple-receiver systems with fully-absorbing spherical receivers.

• Molecular Communication
• Index Modulation

Hand Gesture Recognition via AI

Hand gesture recognition from live camera stream, via several machine learning methods such as logistic regression, neural nets, decision tree and random forest. Recognised hand gestures are fed into unsupervised rock, paper, scissors game.

• Machine Learning
• Artificial Intelligence

Machine Learning Intern

Pointr: The Deep Location Company

• Development of a robust imputation service for positional data of indoor devices via deep learning techniques
• Utilization of positional data for business insights using other Deep Analytics services as per client specifications

PhD Fellowship

Yale University

Special Achievement Award for Master's Thesis

IEEE Communications Society Turkey

Honor

Bogazici University Faculty of Engineering

Honor

Bogazici University Faculty of Arts and Sciences