Mr. Pratik Thantharate | Artificial Intelligence | Editorial Board Member

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Mr. Pratik Thantharate | Artificial Intelligence | Editorial Board Member

Paycor | United States

Pratik Thantharate is a distinguished researcher and Principal Software Engineer whose work spans Agile Software Development, Cybersecurity, DevOps, Cloud Computing, and Code-to-Cloud Security. With dual master’s degrees in Computer Science and Information Systems, he has established a strong research portfolio integrating automation, security, and large-scale distributed architectures. His expertise includes CI/CD pipelines, containerization, microservices, infrastructure as code, observability frameworks, and privacy-preserving systems for modern software ecosystems. Pratik has authored peer-reviewed publications, contributed book chapters, and published impactful research in prominent venues across Elsevier, IEEE, and MDPI. His innovations explore energy-efficient UAV optimization, federated learning for cybersecurity, Zero-Trust blockchain architectures, advanced observability mechanisms for DevOps, and heuristic genetic algorithms for automated vulnerability detection. He has also contributed two patents focused on intelligent monitoring and advanced security analytics for DevSecOps environments. In addition to his research outputs, Pratik has served on numerous technical program committees and peer-reviewed over a hundred scholarly articles across international conferences and journals. His scholarly influence continues to grow, with Scopus indexing showing 128 citations across 119 citing documents, 9 documents, and an h-index of 5. Google Scholar metrics reflect 46 citations, an h-index of 4, and an i10-index of 2. His research aims to advance secure, reliable, and high-performance software delivery by integrating next-generation DevOps automation, AI-driven cybersecurity, and privacy-aware computing frameworks to meet emerging industry and academic challenges.

Profile

Scopus | ORCID

Featured Publications

Thantharate, P., Thantharate, A., & Kulkarni, A. (2024). GREENSKY: A fair energy-aware optimization model for UAVs in next-generation wireless networks. Green Energy and Intelligent Transportation, 3(1), 100130.

Thantharate, P., & Thantharate, A. (2023). ZeroTrustBlock: Enhancing security, privacy, and interoperability of sensitive data through ZeroTrust permissioned blockchain. Big Data and Cognitive Computing, 7(4), 165.

Thantharate, P., & Anurag, T. (2023). CYBRIA: Pioneering federated learning for privacy-aware cybersecurity with brilliance. Proceedings of the IEEE International Conference on Smart Communities.

Thantharate, P. (2023). IntelligentMonitor: Empowering DevOps environments with advanced monitoring and observability. Proceedings of the International Conference on Information Technology, 800–805.

Thantharate, P. (2023). GeneticSecOps: Harnessing heuristic genetic algorithms for automated security testing and vulnerability detection in DevSecOps. Proceedings of the International Conference on Contemporary Computing and Informatics.

Dr. Melaku Metto | Electrochemical Sensors | Editorial Board Member

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Dr. Melaku Metto | Electrochemical Sensors | Editorial Board Member

Injibara University| Ethiopia

Dr. Melaku Metto Ambo is an emerging analytical chemist whose research advances the design, synthesis, and application of innovative electrochemical sensors and biosensing platforms for biomedical, environmental, and pharmaceutical analysis. His work focuses on developing highly sensitive and selective voltammetric and amperometric detection systems using modified glassy carbon electrodes, screen-printed electrodes, conductive polymers, coordination complexes, and nanostructured materials. He has contributed extensively to electrode modification strategies for detecting clinically relevant biomarkers such as uric acid, adenine, guanine, ciprofloxacin, sulfamethoxazole, trimethoprim, esomeprazole, fenitrothion, and various pharmaceuticals in complex matrices. His research also explores heavy metal contamination in agricultural soils and the electrochemical behavior, structural characterizations, and antibacterial activities of transition-metal complexes. Dr. Ambo’s scientific productivity reflects a strong publication record with growing visibility in the analytical chemistry community, supported by Google Scholar citations (≈78), an h-index of 5, and an i10-index of 1, with additional indexing and citation tracking through Scopus. His scholarly contributions include peer-reviewed articles in electrochemistry, biosensors, microchemical analysis, and applied pharmaceutical chemistry, demonstrating expertise in sensor fabrication, electrochemical signal enhancement, computational modeling tools, and multidisciplinary analytical approaches. He has also authored review works addressing the application of electrochemical techniques in areas such as COVID-19 diagnostics, highlighting the broader societal relevance of his research. Overall, Dr. Ambo’s research profile reflects strong methodological rigor, impactful innovation in sensor development, and sustained contribution to advancing modern analytical chemistry.

Profile

Google Scholar

Featured Publications

Metto, M., Tesfaye, A., Atlabachew, M., Abebe, A., & Munshea, A. (2024). A novel poly(cytosine)-based electrochemical biosensor for sensitive and selective determination of guanine in biological samples. ACS Omega, 9(24), 26222–26234.

Tesfaye, A., Atlabachew, M., Aragaw, B. A., Shitahun, A., Benor, A., & Metto, M. (2025). Synthesis, characterization, and application of a novel electrochemical sensor based on poly[Mn(Chr)3]Cl2/PGE for the determination of ciprofloxacin. International Journal of Electrochemical Science, 20(3), 100937.

Metto, M., Tesfaye, A., Atlabachew, M., Abebe, A. (2024). Simultaneous determination of sulfamethoxazole and trimethoprim using poly(Cu2P4BCl4)/GCE in clinical and biological samples. ACS Omega, 9(42), 43272–43286.

Yihun, T. F., Aragaw, B. A., Tsegaye, A. A., Tefera, M., & Ambo, M. M. (2024). A highly sensitive and selective polythiourea-modified glassy carbon electrode for detecting fenitrothion in vegetables. International Journal of Electrochemical Science, 19(10), 100754.

Metto, M., Eramias, S., Gelagay, B., & Washe, A. P. (2019). Voltammetric determination of uric acid in clinical serum samples using DMF-modified screen-printed carbon electrodes. International Journal of Electrochemistry, 2019, 6318515.

Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

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Mr. John de Britto Chinnappan | Computer Science | Editorial Board Member

Saveetha Engineering College| India

Dr. C. John De Britto is a dedicated researcher in Electrical and Electronics Engineering with a strong focus on power electronics, renewable energy systems, electric drives, optimization algorithms, and intelligent control strategies. His research work explores innovative solutions for improving power quality, enhancing the efficiency of renewable energy integration, and advancing smart energy systems. With contributions spanning image enhancement techniques, hybrid renewable systems, DC–DC converter architectures, electric vehicle impact mitigation, and intelligent control for photovoltaic systems, he brings a multidisciplinary approach bridging conventional power engineering with modern computational intelligence. His scholarly output includes 14 Scopus-indexed documents that have collectively received 40 citations with an h-index of 4 on Scopus. Additionally, his Google Scholar profile reflects 50 citations, an h-index of 4, and an i10-index of 1, highlighting the growing influence and visibility of his work. His publications demonstrate a strong commitment to developing sustainable engineering solutions, especially in areas such as quasi Z-source converters, hybrid renewable energy design, embedded platforms, fault recognition in industrial motors, and bio-inspired optimization for control systems. Dr. De Britto’s research impact is evident across peer-reviewed journals, international conferences, and interdisciplinary collaborations, with several studies addressing modern challenges such as electric vehicle charging impacts, microgrid performance, and automation for safety-critical applications. His continuous contributions to energy systems, computational approaches, and power conversion technologies position him as an emerging academic voice in renewable and intelligent power engineering research.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Venkatesh, S., De Britto, C. J., Subhashini, P., & Somasundaram, K. (2022). Image enhancement and implementation of CLAHE algorithm and bilinear interpolation. Cybernetics and Systems, 1–13.

Pradeep, M., Sathishkumar, S., & Subramanian, A. T. S. (2019). Recognition of fault and security of three phase induction motor by means of programmable logic controller. IOP Conference Series: Materials Science and Engineering, 623, 012017.

Yuvaraj, T., Prabaharan, N., De Britto, C. J., Thirumalai, M., Salem, M., & others. (2024). Dynamic optimization and placement of renewable generators and compensators to mitigate electric vehicle charging station impacts using the spotted hyena optimization algorithm. Sustainability, 16(19), 8458.

De Britto, C. J., Nagarajan, S., & Kumar, R. S. (2023). Effective design and implementation of hybrid renewable system using convex programming. International Journal of Green Energy, 20(13), 1473–1487.

De Britto, C. J., & Nagarajan, S. (2018). High performance quasi Z-source resonant converter with hybrid energy resources for rural electrification. International Journal of Engineering and Advanced Technology, 8(2C2), 132–135.

Mr. Zhenyu Liu | Simulation Algorithms | Best Researcher Award

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Mr. Zhenyu Liu | Simulation Algorithms | Best Researcher Award

Inner Mongolia Agricultural University | China

Zhenyu Liu is a master’s degree candidate at the College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, specializing in agricultural engineering and information technology with a strong research focus on smart agricultural equipment and simulation-based optimization. His scholarly contributions include peer-reviewed publications indexed in SCI and Scopus, accompanied by documented citations and available research records. His Scopus profile reflects two indexed documents with an h-index of one, while Google Scholar also lists his publications and citations, verifying his emerging academic presence. His research documents, citation metrics, and publication outputs collectively highlight his early but impactful scientific development.

Publication Profile

Scopus

Education Background

Zhenyu Liu is currently pursuing a master’s degree at the College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, where he has developed a strong foundation in agricultural engineering, information technology, and intelligent equipment design. His coursework emphasizes agricultural machinery systems, discrete element simulations, and engineering data analysis. His academic journey is supported by participation in nationally guided scientific development projects, where he has gained experience in research documentation, simulation modeling, and practical field experimentation. His education further includes training in advanced software tools and exposure to interdisciplinary agricultural technologies that strengthen his capability for independent research and scientific publication.

Professional Experience

Zhenyu Liu has developed his professional experience through active involvement in research tasks within a Central Government Guided Local Science and Technology Development Fund Project, where he contributed to simulation design, model calibration, and mechanical interface analysis. His experience includes operation of agricultural machinery, execution of engineering experiments, and preparation of research documents for scientific dissemination. He has collaborated with faculty teams in analyzing agricultural material behavior using EDEM, preparing manuscripts for SCI journals, and documenting experimental outcomes. His professional exposure also extends to patent development, agricultural equipment evaluation, and contributing to collaborative academic outputs verified through Scopus and Google Scholar records.

Awards and Honors

Zhenyu Liu’s achievements include securing three authorized Chinese utility model patents related to agricultural machinery design and optimization, reflecting his commitment to research innovation. His publications in SCI-indexed journals demonstrate recognized scientific contribution, supported by citation records that validate his research impact. His documented output in Scopus and Google Scholar enhances his academic credibility, while participation in government-funded scientific research adds value to his professional development. Although early in his career, these accomplishments serve as evidence of his dedication to advancing agricultural engineering knowledge and earning academic recognition through verifiable documents, indexed publications, and measurable citation performance.

Research Focus

Zhenyu Liu’s research centers on smart agricultural machinery, discrete element simulation, agricultural material behavior modeling, and engineering optimization for crop mechanization. His work emphasizes calibration of simulation parameters, analysis of seed-material interactions, and evaluation of agricultural equipment performance through experimental validation. With publications indexed in SCI and Scopus, his research outputs are supported by documented citations and scholarly visibility across recognized databases. His focus also includes improving agricultural production efficiency using computational tools, advancing interface modeling of agricultural materials, and contributing verified scientific findings through peer-reviewed articles and research documents that showcase his growing academic and technical expertise.

Publications

Liu, Z., Yan, J., Liu, F., & Wang, L. (2025). Calibration and testing of discrete element simulation parameters for the presoaked Cyperus esculentus L. rubber interface using EDEM. Agronomy. Cited by documented sources in Scopus.

Yan, J., Liu, Z., & Liu, F. (2025). Calibration and analysis of seeding parameters of soaked Cyperus esculentus L. seeds. Applied Sciences. Cited by one Scopus-indexed article.

Dr. Chengju Dong | Mechanical Reliability | Best Researcher Award

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Dr. Chengju Dong | Mechanical Reliability | Best Researcher Award

Ministry of Industry and Information Technology | China

Chengju Dong is a researcher specializing in intelligent mechanical systems with a focus on smart robotics, deep learning, and Prognostics and Health Management (PHM). His work integrates advanced signal processing, data-driven modeling, and intelligent diagnostic frameworks to enhance the reliability and autonomy of modern machinery. With expertise grounded in mechanical design theory and computational intelligence, he has developed innovative methods for weak fault detection, tensor decomposition, and multi-modal feature extraction, contributing significantly to predictive maintenance and intelligent monitoring systems. His research aims to bridge the gap between theoretical models and real-world applications by designing algorithms capable of detecting early-stage faults in complex electromechanical systems, particularly rotating machinery and robotic platforms. Chengju Dong’s scholarly output includes 10 peer-reviewed documents that have collectively received 19 citations from 19 citing documents, reflecting a growing impact in the fields of machine health prediction and intelligent diagnostics. His current h-index is 2 based on Scopus data, and Google Scholar also reports consistent citation visibility aligned with these metrics. He continues to expand his research toward more interpretable deep learning models, robust tensor-based diagnostic frameworks, and adaptive PHM systems suitable for industrial environments. His contribution to the scientific community highlights his commitment to advancing predictive intelligence and enhancing machinery health evaluation through data-centric methodologies and engineering innovation.

Profile

Scopus

Featured Publications 

Dong, C., Wu, Y., & Jiang, H. (Year). A novel weak fault feature extraction method based on tensor decomposition model for bearings

Mrs. Maria Fountoulaki | Health Professions | Best Researcher Award

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Mrs. Maria Fountoulaki | Health Professions | Best Researcher Award

University General Hospital Attikon | Greece

Maria Fountoulaki is an emerging clinical researcher whose work spans critical care medicine, anesthesiology, psychiatry, and public health, with growing impact across interdisciplinary healthcare research. Her scholarship focuses on optimizing patient outcomes in intensive care settings, perioperative monitoring, respiratory function assessment, and adolescent health behaviors. Through collaborative investigations, she contributes evidence-based insights into sedation practices, hemodynamic monitoring, mechanical ventilation strategies, and the interplay between sleep habits, academic performance, and well-being among young populations. Her research on dexmedetomidine use in adult ICUs provides an extensive synthesis of two decades of clinical experience, supporting safer sedation protocols and refining current critical care practices. Additionally, her work evaluating tidal volume challenges and preload indices during non-cardiac surgery offers valuable guidance for intraoperative decision-making and personalized monitoring. Across her publications, she demonstrates a strong commitment to advancing clinical standards through rigorous study design, multidisciplinary teamwork, and practical translation of findings into real-world medical practice.Maria Fountoulaki’s scholarly presence continues to grow, as evidenced by her Scopus metrics, which include 33 citations across 33 citing documents, 6 indexed publications, and an h-index of 2. She is also visible on Google Scholar, where her citation impact continues to increase through collaborative and independent research contributions. Her work reflects a balance of clinical relevance and scientific inquiry, positioning her as a developing expert in critical care and perioperative medicine, with expanding influence in health behavior research.

Profile

Scopus

Featured Publications 

Sertaridou, E. N., Fountoulaki, M., Jha, A., Papaioannou, V. E., & Alexopoulou, C. (2025). Dexmedetomidine’s role in adult ICU after 20 years of experience: A narrative review. Healthcare, 13, 2882.

Griva, P., Kapetanakis, E. I., Milionis, O., Panagouli, K., Fountoulaki, M., & Sidiropoulou, T. (2024). Tidal volume challenge to assess volume responsiveness with dynamic preload indices during non-cardiac surgery: A prospective study. Journal of Clinical Medicine, 14, 101.

Alexopoulou, C., Fountoulaki, M., Papavasileiou, A., & Kondili, E. (2024). Sleep habits, academic performance and health behaviors of adolescents in Southern Greece. Healthcare, 12, 775.

Mr. Zijian Ding | Philosophy of AI | Best Researcher Award

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Mr. Zijian Ding | Philosophy of AI | Best Researcher Award

University of Edinburgh | United Kingdom

Mr. Zijian Ding is an emerging interdisciplinary researcher whose work bridges analytic philosophy, psychoanalysis, and cognitive science to explore the structures of self-knowledge, affect, and intelligence. His research integrates theoretical frameworks from figures such as Moran, Lacan, Wollheim, and Žižek with contemporary psychological and cognitive models, focusing on how emotions, interpersonal dynamics, and cultural-symbolic structures shape reflective awareness. He has developed a model of self-knowledge that challenges transparency-based accounts by foregrounding evaluative and relational dimensions. His interest in intelligence studies spans both human and artificial cognition, offering a Jungian typological reinterpretation of intelligence while critiquing task-based approaches common in current AI research. Within psychoanalytic theory, his work engages deeply with Lacanian foundations, examining themes such as desire, narcissism, sublimation, and the role of the symbolic order in subject formation. He actively contributes to reading groups, seminars, and public-facing academic communities, facilitating collective inquiry into concepts like the gaze, the Real, and the dialectic between scientific discourse and psychoanalytic practice. He also collaborates on interdisciplinary projects that connect philosophy with psychological research methodologies, including qualitative inquiry and statistical analysis. His contributions extend to academic presentations, peer-led counselling communities, and philosophical dialogues on culture, ethics, and social theory. His citation metrics are forthcoming, with profiles being prepared for indexing on Scopus and Google Scholar, where future h-index values will track his growing scholarly impact. His emerging publication record reflects a commitment to integrating continental and analytic traditions to address questions at the intersection of mind, emotion, and human meaning.

Profile

ORCID

Featured Publications 

Ding, Z. (2025). Intelligence as typological cognition: Revisiting Jungian functions for human and artificial minds. Proceedings.

Mr. Hesham El-Badawy | Performance Modeling | Editorial Board Member

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Mr. Hesham El-Badawy | Performance Modeling | Editorial Board Member

National Telecommunications Institute | Egypt

Hesham M. El-Badawy is a distinguished researcher in wireless and mobile communications, recognized for his extensive contributions to next-generation network performance modeling, intelligent communication systems, and energy-efficient architectures. His work spans B5G/6G systems, MIMO and IRS antenna technologies, channel estimation, visible light communication, cognitive radio, teletraffic models, queuing networks, vehicular technology, and AI-driven optimization techniques. With a strong foundation in telecommunications engineering and over three decades of professional and research experience, he has authored more than 120 scientific publications in high-impact journals and conferences. His research outputs reflect rigorous analytical modeling, advanced simulation frameworks, and the development of practical solutions for spectrum efficiency, network optimization, and seamless heterogeneous communication environments. His contributions have been broadly cited across global research communities, reflected in Scopus metrics of 343 citations across 295 documents with an h-index of 9, and Google Scholar metrics of 618 citations, an h-index of 13, and an i10-index of 19. His research continues to influence areas such as visible light communication, energy-efficient wireless systems, cognitive networks, and emerging vehicular technologies. Beyond his technical achievements, he remains an active scholarly contributor, frequently serving on editorial boards, technical program committees, and peer-review panels for leading journals and conferences. His work is widely recognized through several best paper awards and professional honors, underscoring his impact on advancing the science of modern telecommunications and next-generation wireless networks.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Rashwan, A. H., El-Badawy, H. M., & Ali, H. H. (2009). Comparative assessments for different WiMAX scheduling algorithms. Proceedings of the World Congress on Engineering and Computer Science, 20–22.

Amr, M. N., ElAttar, H. M., Abd El Azeem, M. H., & El-Badawy, H. (2021). An enhanced indoor positioning technique based on a novel received signal strength indicator distance prediction and correction model. Sensors, 21(3), 719.

Mahmoud, H. H., ElAttar, H. M., Saafan, A., & El-Badawy, H. (2017). Optimal operational parameters for 5G energy harvesting cognitive wireless sensor networks. IETE Technical Review, 34(sup1), 62–72.

Farid, S. M., Saleh, M. Z., Elbadawy, H. M., & Elramly, S. H. (2023). ASCO-OFDM based VLC system throughput improvement using PAPR precoding reduction techniques. Optical and Quantum Electronics, 55(5), 410.

Sadat, H., Abaza, M., Gasser, S. M., & El-Badawy, H. (2019). Performance analysis of cooperative non-orthogonal multiple access in visible light communication. Applied Sciences, 9(19), 4004.

Dr. Pavel Horák | Social Sciences | Editorial Board Member

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Dr. Pavel Horák | Social Sciences | Editorial Board Member

Masaryk University | Czech Republic

Dr. Pavel Horák, Ph.D., is a distinguished scholar in public policy, social policy, labour market governance, and public administration reform, with an extensive research record focused on organizational change, public sector modernization, employment policy, and the evolving role of street-level bureaucrats. His work critically examines how policy actors interpret, modify, and implement public policies, particularly within labour market institutions, social services, and administrative systems responding to contemporary societal challenges. He contributes significantly to understanding how digitalization, crises such as COVID-19, and global technological shifts reshape state operations, public service delivery, and citizen engagement. His research also explores social problems, social deviations, governance mechanisms, and the design of social and family policy interventions, with a strong emphasis on evaluative and comparative methodologies. Across collaborative international projects, he has analysed employment transitions, social innovation in care services, organizational resilience, and the implications of the Fourth Industrial Revolution for socio-economic systems. His scholarly impact is demonstrated through Scopus-indexed outputs, with 20 documents, 27 citations, and an h-index of 3, supported by additional citations recorded on Google Scholar, highlighting broader academic reach. His recent publications, appearing in leading journals in public administration and social sciences, reflect his sustained contribution to debates on co-creation, institutional adaptability, homelessness policy, and e-government development, positioning him as a notable researcher shaping contemporary discourse on public governance transformation.

Profile

Scopus | ORCID

Featured Publications 

Horák, P., & Špaček, D. (2025). Examining the Covid 19 driven changes in public administration and their longevity: The case of Czechia. Public Money & Management.

Indra, V., Horáková, M., & Horák, P. (2025). Collaboration, participation, and innovation: Influencing factors of co-creation in a Czech municipality. International Journal of Public Administration.

Horák, P., & Špaček, D. (2025). Organizational resilience of public sector organizations responding to the COVID-19 pandemic in Czechia and key influencing factors: Use of the Nograšek and Vintar model. International Journal of Public Administration.

Horák, P., & Horáková, M. (2025). The framework of family functions and dysfunctions from the perspective of the socialization process for evaluating policy measures. Preprint.

Kedzierski, M., & Horák, P. (2025). The development of e-services in the evolution of e-government in the V4 countries. In Navigating Globotics at the Semi-periphery.

Dr. Inayet Burcu Toprak | Artificial Intelligent | Editorial Board Member

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Dr. Inayet Burcu Toprak | Artificial Intelligent | Editorial Board Member

Akdeniz University | Turkey

Dr. İnayet Burcu Toprak is a multidisciplinary researcher whose work bridges advanced manufacturing, artificial intelligence, materials engineering, and computational modeling. Her research focuses on optimizing additive manufacturing processes—particularly laser powder bed fusion, fused filament fabrication, and melt deposition modeling—using statistical, machine learning, and fuzzy logic–based approaches. She has made significant contributions to improving dimensional accuracy, mechanical performance, hardness prediction, and surface integrity of engineering materials including AlSi10Mg alloys, pure molybdenum, 316L stainless steel, and polymer-based composites. Alongside manufacturing optimization, she has produced impactful studies in signal processing, biomedical engineering, vibration analysis, acoustic emissions, and tool condition monitoring. Her early work on EEG signal classification, artificial neural networks, and neuro-fuzzy systems established a strong computational foundation that continues to underpin her modern engineering solutions. Dr. Toprak’s research has been published across leading international journals and conferences, supported by extensive collaborations in mechanical engineering, electronics, automation, and computational intelligence. Her scholarly impact is evidenced through citations recorded across major indexing platforms including Scopus, Google Scholar, and Web of Science, demonstrating sustained recognition of her contributions to manufacturing science and intelligent systems. She has authored journal articles, book chapters, and conference papers, and serves as a reviewer and editorial board member in engineering journals, contributing to the advancement of scientific publishing and research quality. Her current work continues to integrate intelligent optimization, material characterization, and high-precision manufacturing to develop innovative solutions for next-generation engineering applications.

Profile

ORCID

Featured Publications 

Toprak, I. B., Dogdu, N. (2024). Multi-objective optimization study on production of AlSi10Mg alloy by laser powder bed fusion. Applied Sciences, 14(22), 1–12.

Toprak, I. B. (2025). Fuzzy logic-based prediction of tensile strength in fused filament fabrication: A case study on polylactic acid. Journal of Materials Engineering and Performance.

Fedai, Y., & Toprak, I. B. (2025). Optimization of drilling parameters for glass fiber-reinforced nanocomposite materials using Taguchi-based CRITIC-VIKOR method. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering.

Toprak, I. B. (2025). Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches. Scientific Reports.

Toprak, I. B., Dogdu, N., & Salamci, M. U. (2025). Numerical optimization of laser powder bed fusion process parameters for high-precision manufacturing of pure molybdenum. Applied Sciences, 15(10).