Ivan Marović | Project Management | Best Researcher Award

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Dr. Ivan Marović | Project Management | Best Researcher Award

University of Rijeka, Faculty of Civil Engineering | Croatia

Dr. Ivan Marović, a distinguished academic at the University of Rijeka, Faculty of Civil Engineering, has dedicated over twenty years to advancing research and education in the field of civil engineering, progressing from research assistant to full professor. His expertise lies in Project Management, particularly in management information systems, multi-criteria decision analysis, and soft computing methods. A recipient of numerous prestigious awards-including the Best Doctoral Thesis Award from the Croatian Association of Civil Engineers, the Vera Johanides Award from the Croatian Academy of Technical Sciences, the UNIRI Foundation Award for young interdisciplinary scientists, several scientific and teaching awards from UNIRI and GRADRI, and the Global Peer Review Award (Clarivate Analytics) for ranking among the top 1% of reviewers globally in Environment and Ecology as well as Cross-Field-Dr. Marović has made remarkable contributions to both academia and research innovation. His current and past research projects span critical areas such as climate change adaptation for coastal structures, performance management in construction using soft computing, artificial intelligence applications in project planning, and sustainable urban management. Notable projects include COS, GAIA COFUND, PerfMAN, CRESCO Adria, and DSC4SUM, among others, all under the aegis of prestigious funding schemes such as Horizon Europe, INTERREG V-A Italy–Croatia, and the University of Rijeka’s Experienced Researchers Grant Scheme. Through his interdisciplinary research and leadership, Dr. Marović continues to shape innovative methodologies that enhance the resilience, efficiency, and sustainability of civil engineering practices.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"Application of multi-criteria decision-making methods in the selection of a sustainable solution in urban planning"

"Hybrid urban block: The end outcome of the city's filling and extension"

"The Role of the Built Environment in Achieving Sustainable Development: A Life Cycle Cost Perspective"

"Making Informed Choices: AHP and SAW for Optimal Formwork System Selection"

"Understanding and Quantifying the Impact of Adverse Weather on Construction Productivity"

Misbah Ullah | Stochastic Neural Network | Best Faculty Award

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Mr. Misbah Ullah | Stochastic Neural Network | Best Faculty Award

City University of Science and Information Technology | Pakistan

Author Profile

Google Scholar

Early Academic Pursuits

Misbah Ullah began his academic journey in mathematics with a Bachelor of Science degree from the University of Peshawar, followed by a Master of Science (16 years) in Mathematics, where he laid a strong foundation in natural sciences and mathematical problem-solving. His academic excellence was further solidified with a second Master of Science (18 years) from City University, Peshawar, achieving a commendable CGPA of 3.77/4.0. His thesis, “Stochastic Modeling of HCV among Infected People Who Inject Drugs”, reflects his early inclination toward applying advanced mathematical methods to real-world health challenges.

Professional Endeavors

Throughout his academic career, Misbah Ullah has immersed himself in a dynamic research environment. He actively participated in conferences such as the International Conference on Emerging Trends in Engineering, Management & Sciences (ICETEMS-2023), showcasing his ability to contribute to interdisciplinary academic discussions. His collaboration with eminent researchers and mentors has further strengthened his professional growth and visibility in the international research community.

Contributions and Research Focus

Misbah’s research primarily focuses on the intersection of mathematics, epidemiology, and computational modeling. His contributions span stochastic modeling, numerical solutions, spectral collocation techniques, and the application of artificial neural networks to disease dynamics. He has published high-impact research articles, including works in Scientific Reports and International Journal of Biomathematics, covering topics such as hepatitis C, chikungunya virus modeling, and malicious code propagation in wireless sensor networks. His ability to merge deterministic, stochastic, and fractional approaches highlights his innovative mindset and technical expertise.

Impact and Influence

Through his work, Misbah Ullah has provided new insights into disease modeling, neural networks, and control analysis, enabling predictive frameworks for public health and cybersecurity challenges. His publications are gaining recognition in peer-reviewed international journals, demonstrating his potential to influence both theoretical mathematics and applied sciences. His interdisciplinary research strengthens the bridge between mathematical theories and their practical implementations in epidemiology and computer science.

Academic Citations

Although at an early stage of his academic career, Misbah’s research outputs are already positioned to attract significant citations due to their novelty and practical applications. His collaborations with international scholars and contributions in high-ranking journals indicate that his citation impact will grow steadily, further enhancing his academic footprint.

Legacy and Future Contributions

Looking ahead, Misbah Ullah aspires to expand his research on infectious disease dynamics, artificial neural networks, and fractional derivatives, providing advanced tools for scientific innovation. His long-term vision includes mentoring future researchers, contributing to global health solutions, and developing computational methods that combine accuracy with efficiency. His dedication to bridging mathematics with pressing societal issues promises a strong academic legacy and impactful contributions in years to come.

Conclusion

In summary, Misbah Ullah is a promising mathematician and researcher whose academic dedication, innovative research in stochastic and neural network modeling, and impactful contributions in infectious disease dynamics set him apart as an emerging leader in applied mathematics. His journey reflects both scholarly depth and societal relevance, making him a strong candidate for academic recognition and future leadership in the global research community.

Notable Publications

“A novel numerical solution of nonlinear stochastic model for the propagation of malicious codes in Wireless Sensor Networks using a high order spectral collocation technique" 

  • Author: J Zhu, M Ullah, S Ullah, MB Riaz, AB Saqib, AM Alamri, SA AlQahtani
  • Journal: Scientific Reports
  • Year: 2025

“A Multi-Layer Computational Neural Network Approach for Solving Stochastic Within-Host Chikungunya Model with an Adaptive Immune Response" 

  • Author: F Yu, M Ullah, S Ullah, M Asiri, S Ullah Khan, M Qeshta
  • Journal: International Journal of Biomathematics
  • Year: 2025

“A Novel Stochastic Neural Network Framework for Modeling and Simulation of Within-Host Chikungunya virus Transmission with Latency" 

  • Author: S Li, M Ullah, S Ullah, T Muhammad, Q Iqbal
  • Journal: Knowledge-Based Systems
  • Year: 2025

 

 

Thiru Nirai Senthil | Computer Science | Best Academic Researcher Award

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Dr. S. Thiru Nirai Senthil | Computer Science | Best Academic Researcher Award

Jawahar Science College | India

Author Profile

Google Scholar

Early Academic Pursuits

Dr. S. Thiru Nirai Senthil began his academic journey with a strong foundation in computer science and engineering, developing expertise that would later encompass diverse domains such as bioinformatics, artificial intelligence, network security, and data mining. His early exposure to both computational technologies and biological systems enabled him to adopt an interdisciplinary approach to research. Over the years, he built a rich portfolio of technical skills, contributing to areas from molecular modeling and protein analysis to large-scale network optimization and machine learning applications.

Professional Endeavors

With an extensive career in academia, Dr. Senthil has served in pivotal roles, including Head of the Department of Computer Science and Engineering at PRIST University, overseeing curriculum design, departmental administration, and faculty development. His professional experience extends to acting as Chief Superintendent and Additional Chief Superintendent for examination processes, member of various academic boards, and leader in event organization. He has consistently bridged the gap between theoretical research and practical application, guiding students, designing academic programs, and managing university-level technological systems such as ERP CAMU for admissions and data management.

Contributions and Research Focus

Dr. Senthil’s research spans multiple high-impact areas, notably artificial intelligence, machine learning, data mining, cloud computing, IoT, wireless sensor networks, bioinformatics, and cybersecurity. His contributions include the development of algorithms for optimized clustering, secure cloud storage auditing, intelligent e-learning systems, and AI-driven healthcare solutions. His interdisciplinary publications address both technological and societal challenges, such as AI-assisted medical devices, data-driven pandemic analysis, and sentiment analysis for social media monitoring. He has presented papers at prestigious national and international conferences, including ICICACS, ASCIS, ICRTSM, and the Asian Mycological Congress, demonstrating global engagement in research dissemination.

Impact and Influence

Dr. Senthil’s work has had a significant influence on both academic and applied technology communities. His AI-based patents in healthcare, autonomous navigation, and social media analytics showcase his commitment to impactful innovation. He has authored books on core computing subjects-Artificial Intelligence, Machine Learning, Data Mining and Warehousing, and Client-Server Computing-providing valuable academic resources for students and professionals alike. His leadership in faculty development programs, organization of technical workshops, and delivery of expert lectures has shaped the learning environment for countless students and educators.

Academic Citations and Recognition

His research publications have been widely cited, particularly in areas involving AI for agriculture, healthcare, and network optimization. Recognition of his scholarly contributions includes prestigious honors such as the Researcher Excellence Award (2025) and the Global Eminent Academician Award (2021), acknowledging both his research impact and his dedication to teaching excellence.

Legacy and Future Contributions

Dr. Senthil’s academic legacy lies in his ability to integrate multidisciplinary domains, creating solutions that address real-world problems while advancing theoretical frameworks. His role as a research guide and doctoral committee member ensures the training of future scholars, while his patents lay the groundwork for continued innovation. Moving forward, his work is poised to expand into emerging areas of generative AI, advanced machine learning models, and AI-driven biomedical devices, promising further contributions to science, technology, and society.

Conclusion

Dr. S. Thiru Nirai Senthil exemplifies the modern academician—innovative, interdisciplinary, and dedicated to the advancement of knowledge. His career reflects a rare combination of research excellence, pedagogical commitment, and visionary leadership. With an impressive record of publications, patents, and academic service, he continues to influence the trajectory of research in computer science and its allied fields, leaving a lasting mark on both academia and industry.

Notable Publications

"LCNFN: LeNet‐Cascade Neuro‐Fuzzy Network for Grape Leaf Disease Segmentation and Multi‐Classification" 

  • Author: G Selvaraj, SV Puthenkaleelkal, P Alaguchamy, STN Senthil
  • Journal: Journal of Phytopathology
  • Year: 2025

"COVID-19 Adaptive E-Learning: Data-Driven Student Engagement Analysis" 

  • Author: LL Rani, ST Senthil
  • Journal: International Conference on Integrated Circuits
  • Year: 2024

"Text Classification with Automatic Detection of COVID-19 Symptoms from Twitter Posts Using Natural Language Programming (NLP)" 

  • Author: N Manikandan, S Thirunirai Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023

"Efficient College Students Higher Education Prediction Using Machine Learning Approaches" 

  • Author: L Lalli Rani, S Thirunirai Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023

"Improved Genetic Algorithm Based k-means Cluster for Optimized Clustering" 

  • Author: FM Ilyas, ST Senthil
  • Journal: International Conference on Advancements in Smart Computing
  • Year: 2023