Sercan Aygün

Assistant Professor

University of Louisiana at Lafayette

United States

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Dr. Sercan Aygün is an Assistant Professor at the University of Louisiana at Lafayette, USA. His research interests encompass hardware optimization, stochastic computing, and the application of digital twin technologies in municipal traffic control. Recent publications include works on adversarial attack mitigation in computing systems and investigations into cardiometabolic risk profiles in polycystic ovary syndrome.

Articles (15)

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2025

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2025

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2021

Collaborators (4)

Mohsen Imani

Assistant Professor

University of California, Irvine

UNITED STATES

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M.Hassan Najafi

Assistant Professor

University of Louisiana at Lafayette

UNITED STATES

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Bingzhe Li

Assistant Professor

University of Texas at Dallas

UNITED STATES

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Yazhou Tu

Auburn University

UNITED STATES

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Sercan Aygün

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

Adversarial Attack Bypass by Stochastic Computing

Sorting it out in Hardware: A State-of-the-Art Survey

Digital Twin-Aided Municipal Traffic Control

Detecting Vulnerability in Hardware Description Languages: Opcode Language Processing

Low-Cost and Highly-Efficient Bit-Stream Generator for Stochastic Computing Division

Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures

HDVQ-VAE: Binary Codebook for Hyperdimensional Latent Representations

Alterations of cardiometabolic risk profile in polycystic ovary syndrome: 13 years follow-up in an unselected population

Agile Simulation of Stochastic Computing Image Processing With Contingency Tables

Stochastic Computing Design and Implementation of a Sound Source Localization System

Hardware–Software Co-Optimization of Long-Latency Stochastic Computing

No-Multiplication Deterministic Hyperdimensional Encoding for Resource-Constrained Devices

Utilization of Contingency Tables in Stochastic Computing

Time-Bin-Based Neighbourhood Algorithm for Temporal Effects in Recommendation Systems

Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering

Collaborators (4)

Mohsen Imani

M.Hassan Najafi

Bingzhe Li

Yazhou Tu

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