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Hire Alperen E.

United States

USD 150 /hr

Research and Data Scientist with background in algorithms development and mathematics

Profile Summary

Trained at Carnegie Mellon Computer Science, TU Berlin Algorithmic Mathematics, and Texas A&M Mathematics. Has extensive knowledge in algorithms, mathematics, optimization, computational geometry, probability, and reinforcement learning. Current projects include astrophysics data analysis using graph neural nets, training RL agents to improve computational algebra methods, probabilistic modeling of certain iterative processes, and algorithm design for some problems from computational geometry.

Subject Matter Expertise

• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Pattern Recognition
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Applied Mathematics
• ☆ Mathematical Optimization
• ☆ Group Theory
• ☆ Computational Mathematics
• ☆ Pure Mathematics
• ☆ Algebra
• ☆ Mathematical Analysis
• ☆ Geometry
• ☆ Topology
• ☆ Graph Theory
• ☆ Discrete Mathematics
• ☆ Decision Science
• ☆ Python
• ☆ Tensorflow
• ☆ Scikit-learn

Services

• Research
• Data & AI

Research Gray Literature Search, Scientific and Technical Research

Data & AI Predictive Modeling, Statistical Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Text Mining & Analytics, Data Mining

Work Experience

Assistant Professor

The University of Texas at San Antonio

August 2020 - Present

Postdoctoral Researcher

Carnegie Mellon University

September 2019 - August 2020

Technische Universität Berlin

May 2017 - August 2019

NC State University

August 2016 - May 2017

Graduate Research Assistant / Research Assistant

Texas A&M University

September 2011 - August 2016

Education

PhD (Mathematics)

Texas A&M University

September 2011 - August 2016

Certifications

• Certification details not provided.

Publications

CONFERENCE PAPER

Alperen Ergur, Weixun Deng, Grigoris Paouris, J. Maurice Rojas (2024). Feasibility of Circuit Polynomials without Purple Swans: Feasibility without Purple Swans .

Alperen A. Ergur, Alperen Ergür, Josué Tonelli-Cueto, Elias Tsigaridas(2022). Beyond Worst-Case Analysis for Root Isolation Algorithms . Proceedings of the 2022 International Symposium on Symbolic and Algebraic Computation. {ACM}

JOURNAL ARTICLE

Alperen A. Ergür, Jesus Rebollo Bueno, Petros Valettas (2023). Approximate Real Symmetric Tensor Rank . Arnold Mathematical Journal.

Alperen A. Ergür, Timo de Wolff (2023). A Polyhedral Homotopy Algorithm for Real Zeros . Arnold Mathematical Journal.

Alperen A. Ergür, Timo de Wolff(2022). A Polyhedral Homotopy Algorithm for Real Zeros . Arnold Mathematical Journal. Springer Science and Business Media {LLC}

Alperen A. Ergur, Felipe Cucker, Alperen A. Ergür, Josué Tonelli-Cueto(2022). On the Complexity of the Plantinga–Vegter Algorithm . Discrete & Computational Geometry. 68. (3). p. 664--708. Springer Science and Business Media {LLC}

Alperen A. Ergur, M. Levent Doğan, Alperen A. Ergür, Jake D. Mundo, Elias Tsigaridas(2022). The Multivariate Schwartz--Zippel Lemma . SIAM Journal on Discrete Mathematics. 36. (2). p. 888--910. Society for Industrial {\&} Applied Mathematics ({SIAM})

Alperen A. Ergur, Amin Coja‐Oghlan, Alperen A. Ergür, Pu Gao, Samuel Hetterich, Maurice Rolvien(2022). The rank of sparse random matrices . Random Structures & Algorithms. Wiley

Felipe Cucker, Alperen A. Ergür, Josué Tonelli-Cueto (2022). Functional norms, condition numbers and numerical algorithms in algebraic geometry . Forum of Mathematics, Sigma.

Alperen A. Ergur, Alperen Ergür, Grigoris Paouris, J. Rojas(2021). Smoothed analysis for the condition number of structured real polynomial systems . Mathematics of Computation. 90. (331). p. 2161--2184. American Mathematical Society ({AMS})

Alperen A. Ergür(2019). Approximating Nonnnegative Polynomials via Spectral Sparsification . SIAM Journal on Optimization. 29. (1). p. 852--873. Society for Industrial {\&} Applied Mathematics ({SIAM})

Alperen A. Ergür, Grigoris Paouris, J. Maurice Rojas(2019). Tropical varieties for exponential sums . Mathematische Annalen. Springer Nature

Peter Bürgisser, Alperen A. Ergür, Josué Tonelli-Cueto(2019). On the Number of Real Zeros of Random Fewnomials . SIAM Journal on Applied Algebra and Geometry. 3. (4). p. 721--732. Society for Industrial {\&} Applied Mathematics ({SIAM})

Alperen A. Ergür(2018). Multihomogeneous Nonnegative Polynomials and Sums of Squares . Discrete & Computational Geometry. 60. (2). p. 318--344. Springer Nature America, Inc

Alperen A. Ergür, Grigoris Paouris, J. Maurice Rojas(2018). Probabilistic Condition Number Estimates for Real Polynomial Systems I: A Broader Family of Distributions . Foundations of Computational Mathematics. Springer Nature