Tolga Ensari, PhD
Assistant Professor
Arkansas Tech University
Address:
Arkansas Tech University
Dept. of Engineering and Computing Sciences
1811 N Boulder Ave, Corley Hall, Room 241
Russellville, Arkansas 72801, USA
Computational Intelligence and Machine Learning (CIML) Research Lab:
Welcome to the Computational Intelligence and Machine Learning (CIML) Lab! The goal of our research is to analyze and develop novel machine learning, artificial intelligence, and data science-based systems and architectures.
The CI Lab provides many scientific activities. We conduct scientific research projects, publish scientific research papers, deliver monthly research talks, supervise PhD, MSc and bachelor theses, teach many courses, publish books & book chapters, apply to patents, and organize scientific conferences and workshops. Currently, there are 21 graduate/undergraduate students and researchers working in the CIML lab. We had 39 former researchers/students.
Our research area is related to the algorithmic and theoretical background of machine learning, artificial intelligence, and data science including deep learning, pattern recognition with applications to cancer research, bioinformatics, computer vision, natural language processing, stability and convergence analysis, decision support systems, recommender systems and more specific tasks.
The National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), Arkansas Tech University (ATU), ITEA4 Program, Scientific and Technological Research Council of Turkey (TUBITAK), Istanbul University-Cerrahpasa, and Council of Higher Education have awarded our research projects.
We cooperate with different disciplines and colleges/departments like college of medicine, college of sociology, and other potential colleges/departments. Interdisciplinary collaborations are always encouraged and important for our studies.
For more information, please contact us at tensari@atu.edu.
We hope to see you in the CIML Lab!
A. Current Members (6 PhD, 10 Master degree, 3 Researchers, 2 Undergrads):
Graduate assistant(s):
Vyshnavi Gogineni
Arkansas Tech University, Graduate College,
Information Technology (IT)
Research title: Anomaly Detection with Neuromorphic Computing
Email: vgogineni@atu.edu
Personal link: LinkedIn
PhD Candidates:
- Mizanur Rahman
- Akif Gasi
- Zerrin Yildiz Cavdar
- Muberra Akcaman
- Ebru Aydindag Bayrak
- Meriem Amrane
Master Degree Candidates:
- Vyshnavi Gogineni
- Kevin Torkelson
- Shruti Bhandari
- Ramu Mannava
- Rahanuma Tarannum
- Sravya Kantamneni
- Seyed Sanjari Pirmahalleh
- Hayin Tamut
- Maggie Corbett-Strain
- Priyanka Nalla
Researchers:
- Muhammed Bilgin
- Hurkal Husem
- Ilhan Keklik
- Toprak Keskin
Undergraduate Students:
- Zenith Margaret Kile
- Adam Rusterholz
B. Former Members (2 PhD, 20 Master degree, 6 Researchers, 11 Undergrads):
Graduate assistant(s):
Edidiong Elijah Akpan
Arkansas Tech University, Graduate College,
Information Technology (IT)
Research title: Spiking Neural Networks
Email: eakpan@atu.edu
Personal link: LinkedIn
PhD Students:
- Onur Sinem Sonmez
- Seyma Altun
Master Degree Students:
- Murat Kazanc
- Busra Rumeysa Mete
- Batuhan Asiroglu
- Elif Dogan
- Gurur Pirana
- Yagiz Nalcakan
- Eyyup Yildiz
- Melike Gunay
- Feyzan Saruhan Ozdag
- Rahime Yilmaz
- Aykut Aydin
- Fatih Mehmet Tekcan
- Siyabend Turgut
- Ihsan Kocak
- Ahmet Zencirli
- Cihan Tiken
- Yasin Ugur Belek
- Mehmet Salih Kurt
- Metin Tiryaki
- Davut Celik
Researchers:
- Ahmet Emre Balsever
- Can Uzunkaya
- Tanju Simsek
- Engin Seven
- Zeynel Abidin Samak
- Suleyman Cinar
Undergraduate Students:
- Caleb Coletti
- Natalie Garcia
- Star Douangchanh
- Catherine Hudson
- Andres E Dewendt Urdaneta
- Gerardo A. Urdaneta Rincon
- Takumi Mori
- Corey May
- Dariel Courage Armah
- Burak Demir
- Ikram Gagaoua
C. Ongoing Supervising PhD and Master Degree Thesis:
PhD Thesis (Ongoing):
-
Thesis title: Will be determined in Spring 2024
Author: Mizanur Rahman
Advisors: Dr. Mariofanna Milanova, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Content-based Image Retrieval with Machine Learning
Author: Akif Gasi
Advisors: Dr. Mustafa Dagtekin, Co-Advisor: Dr. Tolga Ensari -
Thesis title: MicroRNA Target Prediction with Machine Learning
Author: Zerrin Yildiz Cavdar
Advisors: Dr. Ahmet Sertbas, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Gene Detection from Pathology and Cancer Classification (Prediction) with Machine Learning Techniques
Author: Meriem Amrane
Advisors: Dr. Saliha Oukid, Dr. Co-Advisor: Dr. Tolga Ensar -
Thesis title: Cancer Disease Diagnosis with Machine Learning Methods
Author: Ebru Aydindag Bayrak
Advisors: Dr. Pınar Kirci, Co-Advisor: Dr. Tolga Ensari
Master Degree Thesis (Ongoing):
-
Thesis title: To be determined
Advisors: Kevin Torkelson, Co-Advisor: Dr. Tolga Ensar
D. Completed PhD and Master Degree Supervised Thesis:
PhD Thesis (Completed):
-
Thesis title: Cancer Diagnosis from Biomedical Data with Machine Learning Methods
Author: Oznur Sinem Sonmez
Advisors: Dr. Mustafa Dagtekin, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Converting Digital Documents in Image Format to LaTex Code Using Computer Vision and Machine Learning Methods
Author: Murat Kazanc
Advisors: Dr. Mustafa Dagtekin, Co-Advisor: Dr. Tolga Ensari -
Thesis title: 3D Model Generation From 2D Image Sequences Using Machine Learning
Author: Batuhan Asiroglu
Advisors: Dr. Mustafa Dagtekin, Co-Advisor: Dr. Tolga Ensari -
Thesis title: MicroRNA Target Prediction for CIRSPR/CAS9 System with Machine Learning
Author: Elif Dogan
Advisors: Dr. Ozlem Aktas, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Text Classification with Deep Learning
Author: Gurur Pirana
Advisors: Dr. Ahmet Sertbas, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Image Classification with Deep Learning
Author: Busra Rumeysa Mete
Advisor: Tolga Ensari -
Thesis title: Diagnosis of Alzheimer Disease with Deep Learning
Author: Yagiz Nalcakan
Advisor: Dr. Tolga Ensari -
Thesis title: Pattern Recognition in Flow Cytometry Data
Author: Eyyup Yildiz
Advisors: Dr. Tolga Ensari, Co-Advisor: Leyla Turker Sener -
Thesis title: Classification of MicroRNA Biogene Sequences with Machine Learning
Author: Aykut Aydin
Advisors: Dr. Ahmet Sertbas, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Predictive Churn Analysis with Machine Learning
Author: Melike Gunay
Advisor: Dr. Tolga Ensari -
Thesis title: Hyperspectral Image Classification with Machine Learning
Author: Fatih Mehmet TEKCAN
Advisors: Dr. Ahmet Sertbas, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Cancer Diagnosis with Machine Learning Methods
Author: Siyabend Turgut
Advisors: Dr. Mustafa Dagtekin, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Safe Path Planning with Machine Learning
Author: Yasin Ugur Belek
Advisor: Dr. Tolga Ensari -
Thesis title: Turkish Question Answering System Using Machine Learning
Author: Mehmet Salih Kurt
Advisors: Dr. Eylem Yucel Demirel, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Nonnegative Matrix Factorization Applications
Author: Ihsan Kocak
Advisor: Dr. Tolga Ensari -
Thesis title: Network Intrusion Detection with Machine Learning Techniques
Author: Feyzan Saruhan Ozdag
Advisors: Dr. Derya Yiltas Kaplan, Co-Advisor: Dr. Tolga Ensari -
Thesis title: EMG Signal Classification to Predict the Position and Force Patterns of Human Hand
Author: Rahime Yilmaz
Advisors: Dr. Tolga Ensari, Co-Advisor: Dr. Yunus Ziya Arslan -
Thesis title: Deep Learning Applications
Author: Cihan Tiken
Advisor: Dr. Tolga Ensari -
Thesis title: Data Mining Based Estimation System for Intelligent Transportation
Author: M. Metin Tiryaki
Advisor: Dr. Ahmet Sertbas, Co-Advisor: Dr. Tolga Ensari -
Thesis title: Smart Advertisement/Survey Application Using Data Mining
Author: Davut Celik
Advisor: Dr. Ahmet Sertbas, Co-Advisor: Dr. Tolga Ensari