• Role of Weak Interactions and Steric Effect in Chemosensing Using Cyclodextrins 

  Koyuncu, Ayfer; Çiftçi, Fatih (Springer, 2025)

  Cyclodextrins (CDs), a family of cyclic oligosaccharides, have garnered significant attention in chemosensing applications due to their unique ability to form inclusion complexes with various guest molecules. The hydrophobic ...

• Cyclodextrin- Enhanced UVR Absorbers Versatile Solutions for Fabrics, Polymers, and Beyond 

  Koyuncu, Ayfer; Çiftçi, Fatih (Taylor & Francis, 2025)

  Ultraviolet radiation (UVR), a form of electromagnetic radiation, significantly impacts both organic and inorganic materials. Solar UVR poses risks to materials and human health, causing polymer degradation, dye fading, ...

• Tree-Based Ensemble Regression Models for Emission Prediction of a Winter Green Oil-Hydrogen Dual-Fuel Engine with Zeolite After-Treatment 

  Js, Femilda Josephin; Subramanian, Balaji; Renjit, E. Jeslin; S, Naveen Venkatesh; Sugumaran, V; Subramanian, Thiyagarajan; Kiani, Farzad; Varuvel, Edwin Geo; Matijosius, Jonas; Kilikevicius, Arturas (Elsevier, 2025)

  This study presents an emission prediction framework for a dual-fuel compression-ignition engine operated on a 20 % winter green oil–diesel blend enriched with hydrogen and equipped with a zeolite-based after-treatment system. ...

• The Role of Ions in Dental Tissue Treatment, Repair and Remodelling: Mechanisms, Materials and Clinical Implications 

  Yücer, Şeydanur; Saraç, Begüm; Özarslan, Ali Can; Çiftçi, Fatih (Elsevier, 2025)

  Ions play a pivotal role in dental tissue treatment, repair, and remodeling by influencing biochemical pathways and structural integrity. This review explores the multifaceted mechanisms through which ions interact ...

• Functional Bioink and 3D Bioprinting Tissue Scaffold Applications for Spinal Cord Injury 

  Yücer, Şeydanur; Saraç, Begüm; Özarslan, Ali Can; Sakarya, Deniz; Özerol, Esma Ahlatçıoğlu; Çiftçi, Fatih (Springer, 2025)

  Spinal cord injury (SCI), commonly resulting from sudden trauma such as traffic or sports accidents, leads to severe disruption of axonal connections and loss of sensory and motor function below the injury site. Despite ...

• Engineered Smart Nano-Bio-Physio Sensing Platforms as Emerging Point-of-Care Technologies: Materials, Mechanisms, and Applications 

  Yücer, Şeydanur; Saraç, Begüm; Çiftçi, Fatih; Ghorbanpour, Mansour (Elsevier, 2025)

  The rapid evolution of smart nano-bio-physio sensing platforms has revolutionized point-of-care (POC) technologies, offering unprecedented opportunities for real-time health monitoring, disease diagnosis, and personaliz ...

• Development of a Biofunctional Conductive Neural Scaffold Based on Chitosan, Polycaprolactone, Carvacrol and Polyaniline 

  Özalp, Elif; Oktay, Büşra; Çiftçi, Fatih; Erarslan, Azime; Özerol, Esma Ahlatçıoğlu (Taylor & Francis, 2025)

  Damage in neural tissues poses a significant challenge in regenerative medicine, requiring scaffolds that support both biological and electrical functions. Conductive biomaterials offer promising solutions by promoting ...

• A Program-Output Estimator for Software Testing Using Program Analysis and Deep Learning Algorithms 

  Arasteh, Bahman; Sefati, Seyed Salar; Güneş, Peri; Hosseinzadeh, Vahid; Kiani, Farzad (Springer, 2025)

  Software testing is increasingly used as a software quality control method. During testing, the program under test’s output is compared with the expected correct output using test data. Estimating the program’s correct ...

• A Metaheuristic and Neural Network-Based Framework for Automated Software Test Oracles Under Limited Test Data Conditions 

  Arasteh, Bahman; Bulut, Faruk; İnce, İbrahim Furkan; Sefati, Seyed Salar; Kusetoğulları, Hüseyin; Kiani, Farzad (Springer, 2025)

  With the growing complexity of modern software systems, the demand for effective and efficient testing techniques has become an important aspect of the software development process. Software Test Oracles (STOs) play a ...

• Analyzing EEG Data During Opium Addiction Treatment Using a Fuzzy Logic-Based Machine Learning Model 

  DehAbadi, Elnaz; Anka, Fateme Ayşin; Vafaei, Fateme; Lanjanian, Hossein; Nematzadeh, Sajjad; Afshar, Mahsa Torkamanian; Aghahosseinzargar, Nazanin; Kiani, Farzad; Abharian, Peyman Hassani (Frontiers, 2025)

  Background: Reliable noninvasive tools for assessing substance abuse treatment and predicting outcomes remain a challenge. We believe EEG-derived complexity measures may have a direct link to clinical diagnosis. To this ...

• A Bedbug Optimization-Based Machine Learning Framework for Software Fault Prediction 

  Aresteh, Bahman; Sefati, Seyed Salar; Popovici, Eduard-Cristian; İnce, İbrahim Furkan; Kiani, Farzad (MDPI, 2025)

  Predicting software faults and identifying defective modules is a significant challenge in developing reliable software products. Machine Learning (ML) approaches on the historical fault datasets are utilized to classify ...

• Machine Learning Approaches for Predicting Diesel engine Emissions Using Waste tire Pyrolysis Oil – Hydrotreated Vegetable Oil Blends 

  Mickevicius, Tomas; Matijosius, Jonas; Varuvel, Edwin Geo; Js, Femilda Josephin; M, Jerome Stanley; Zvirblis, Tadas; Anka, Ferzat; Kilikevicius, Arturas (Elsevier, 2025)

  This experimental study explores the use of blended Tire Pyrolysis Oil (TPO) with Hydrotreated Vegetable Oil (HVO) as potential substitutes for diesel fuel in compression ignition engines. The assessment of the investigation on ...

• Investigation of The Effects of Solution Heat Treatment (SHT) on Microstructure, Phase Transformation, and Corrosion Properties of AlSi10Mg Alloy Produced by LPBF 

  Yılmaz, Mustafa Safa; Tütük, İbrahim; Ural, Mehmet Moğoltay; Özer, Gökhan (Emerald, 2025)

  Purpose – This study aims to apply solution heat treatment (SHT) to AlSi10Mg material produced by laser powder bed fusion (LPBF) technique at lower temperatures and times instead of the conventional T6 heat treatment ...

• Microstructure-Corrosion Behavior of Laser Powder Bed Fusion - AlSi10Mg Produced Using Synchronous Scanning Strategy (SSS) 

  Özer, Gökhan; Çalışkan, Cemal İrfan; Khan, Hamaid Mahmood; Tütük, İbrahim (Sage, 2025)

  This study investigates the influence of the Synchronous Scanning Strategy on the microstructural characteristics and corrosion behavior components fabricated via the LPBF process. Electrochemical corrosion tests in 3.5 ...

• Investigation of the High Energy Single Pulses Affect on Micro Arc Oxidation Process on Aluminium 

  Yılmaz, Mustafa Safa; Şahin, Orhan (Avestia Publishing, 2018)

  Micro Arc Oxidation (MAO) was applied by using high anodic (500 volt) and high cathodic (500 volt) voltages with increasingly pulse duration couples (anodic and cathodic single pulses). While the increasing pulse duration, ...

• Hybrid Whale and Artificial Rabbit Optimization for Efficient Multi‑Objective Sensor Deployment in Complex IoT Networks 

  Kiani, Farzad (Springer Nature, 2025)

  This paper presents a novel hybrid metaheuristic algorithm, combining Whale Optimization Algorithm (WOA) and Artificial Rabbits Optimization (ARO), to solve the multi-objective sensor node placement problem in dynamic and ...

• Multimodal AI Framework for Lung Cancer Diagnosis: Integrating CNN and ANN Models for Imaging and Clinical Data Analysis 

  Öncü, Emir; Çiftçi, Fatih (Elsevier, 2025)

  Lung cancer remains a leading cause of cancer-related mortality worldwide, emphasizing the critical need for accurate and early diagnostic solutions. This study introduces a novel multimodal artificial intelligence ...

• Mxene-Modified PMMA/Chitosan Composite E-Skin Scaffold: Bioelectronic and Antibacterial Assessment 

  Gürbüz, Berfin; Çiftçi, Fatih; Özarslan, Ali Can; Yılmaz, Bahar Akyüz (Elsevier, 2025)

  In tissue engineering, e-skin patches serve as wearable wound dressings for healing. In this study, electrospun nanofiber composites were developed by integrating PMMA, MXene, and chitosan (CS) to fabricate multifunctio ...

• Comparative Analysis of Deep Learning Models for Predicting Biocompatibility in Tissue Scaffold Images 

  Öncü, Emir; Ayanoğlu, Kadriye Yasemin Usta; Çiftçi, Fatih (Elsevier, 2025)

  Motivation: Bioprinting enables the creation of complex tissue scaffolds, which are vital for tissue engineering. However, predicting scaffold biocompatibility before fabrication remains a critical challenge, potentially ...

• Boron Nanoparticle Doped PVA Polymer Composite Nanofibers: In Vitro Behaviors 

  Duygulu, Nilüfer Evcimen; Balkaş, Merve; Çiftçi, Fatih; Kucak, Mine (Elsevier, 2025)

  This study aims to address the limitations associated with boron sources that contain chemical impurities and to enhance the applicability of boron (B) nanoparticle-doped polyvinyl alcohol (PVA) composite nanofibers ...

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