Assoc. Prof.
Bahman Arasteh Abbasabad
H-Index: 24 (Google Scholar)
Bahman Arasteh, Tebriz'de doğmuştur. 2014 yılında, İran’ın Tahran kentinde bulunan İAU Üniversitesi Bilim ve Araştırma Şubesi’nden Bilgisayar Mühendisliği (Yazılım Mühendisliği) alanında doktora derecesini almıştır. İstanbul, Türkiye'deki İstinye Üniversitesi Yazılım Mühendisliği Bölümü'nde Doçent Doktor olarak görev yapmaktadır. Yazılım mühendisliği ve yapay zekâ alanlarına yaptığı önemli katkılar sayesinde, araştırma etkisi ve atıflara dayalı olarak Stanford Üniversitesi tarafından 2024 yılında "Dünya Çapında En İyi %2 Bilim İnsanı" arasında gösterilmiştir. Çalışma alanları arasında yazılım mühendisliği, yapay zekâ, yazılım testi ve yazılım güvenliği yer almaktadır.
Araştırma Alanları
- Yazılım Mühendisliği
- Yazılım Test ve Otomasyon Teknikleri
- Optimizasyon teknikleri ve yazılım mühendisliğinde kullanımı
- Optimizasyon algoritmalarının geliştirilmesi
- yazılım bakım yöntemleri ve araçları
- Advances in Manta Ray Foraging Optimization: A Comprehensive Survey, 2024
- Securing internet of things using machine and deep learning methods: a survey, 2024
- A hybrid chaos-based algorithm for data object replication in distributed systems, 2024
- A self-predictive diagnosis system of liver failure based on multilayer neural networks, 2024
- A quality-of-service aware composition-method for cloud service using discretized ant lion optimization algorithm, 2024
- Detecting SQL injection attacks by binary gray wolf optimizer and machine learning algorithms, 2024
- Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm, 2024
- A Cost-effective and Machine-learning-based method to identify and cluster redundant mutants in software mutation testing, 2024
- A metaheuristic approach based on coronavirus herd immunity optimiser for breast cancer diagnosis, 2024
- Efficient software mutation test by clustering the single-line redundant mutants, 2024
- A new binary chaos-based metaheuristic algorithm for software defect prediction, 2024
- Effective test-data generation using the modified black widow optimization algorithm, 2024
- Two-pronged feature reduction in spectral clustering with optimized landmark selection, 2024
- A software defect prediction method using binary gray wolf optimizer and machine learning algorithms, 2024
- Effective Software Mutation-Test Using Program Instructions Classification, 2024
- A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm, 2024
- A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering, 2023
- A Hybrid Heuristic Algorithm Using Artificial Agents for Data Replication Problem in Distributed Systems, 2023
- Generating the structural graph‐based model from a program source‐code using chaotic forrest optimization algorithm, 2023
- Program Source-Code Re-Modularization Using a Discretized and Modified Sand Cat Swarm Optimization Algorithm, 2023
- An intrusion detection method to detect denial of service attacks using error-correcting output codes and adaptive neuro-fuzzy inference, 2023
- Slime Mould Algorithm: A Comprehensive Survey of Its Variants and Applications, 2023
- A divide and conquer based development of gray wolf optimizer and its application in data replication problem in distributed systems, 2023
- A Novel Metaheuristic Based Method for Software Mutation Test Using the Discretized and Modified Forrest Optimization Algorithm, 2023
- Intrusion detection in internet of things using improved binary golden jackal optimization algorithm and LSTM, 2023
- Identifying top influential spreaders based on the influence weight of layers in multiplex networks, 2023
- Meet User’s Service Requirements in Smart Cities Using Recurrent Neural Networks and Optimization Algorithm, 2023
- A fast module identification and filtering approach for influence maximization problem in social networks, 2023
- A bioinspired discrete heuristic algorithm to generate the effective structural model of a program source code, 2023
- Identifying influential nodes based on new layer metrics and layer weighting in multiplex networks, 2023
- DATA REPLICATION IN DISTRIBUTED SYSTEMS USING OLYMPIAD OPTIMIZATION ALGORITHM, 2023
- A discrete heuristic algorithm with swarm and evolutionary features for data replication problem in distributed systems, 2023
- A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT, 2023
- Discovering overlapping communities using a new diffusion approach based on core expanding and local depth traveling in social networks, 2023
- FIP: A fast overlapping community-based influence maximization algorithm using probability coefficient of global diffusion in social networks, 2022
- Program source code comprehension by module clustering using combination of discretized gray wolf and genetic algorithms, 2022
- An Improved Farmland Fertility Algorithm with Hyper-Heuristic Approach for Solving Travelling Salesman Problem, 2022