Awele Okolie | Computer Science | Excellence in Research Award

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Ms. Awele Okolie | Computer Science | Excellence in Research Award

Wentworth Institute of Technology | United States

Ms. Awele Catherine Okolie is a data analyst and MSc Data Science candidate at Wentworth Institute of Technology with a strong foundation in Python, SQL, and data visualization. She has hands-on industry experience as a Data Analyst Intern at New Horizon, where she improved data accuracy, automated processes, and built real-time Power BI dashboards for business decision-making. Her work includes cleaning and analyzing large datasets, validating data during system migrations, and enhancing reporting reliability. Awele has led an end-to-end customer churn analysis project, analyzing over 7,000 telecom records and building an interactive dashboard to identify churn drivers. She also developed a Random Forest churn prediction model achieving 84% accuracy to support proactive customer retention. In addition, she has conducted customer segmentation and clustering analyses using EDA and K-Means to deliver actionable marketing insights. Her technical skill set spans Python, SQL, Excel, AWS, Snowflake, PostgreSQL, data modeling, and statistical analysis, supported by industry-recognized certifications.

Citation Metrics (Google Scholar)

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Featured Publications


Heart disease prediction: A logistic regression approach

– Open Journal of Applied Sciences, 2025 (4 cites)

Abdul Jalil | Materials Science | Editorial Board Member

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Assist Prof. Dr. Abdul Jalil | Materials Science | Editorial Board Member

Assistant Professor | Allama Iqbal Open University | Pakistan

Abdul Jalil is an accomplished researcher and Assistant Professor at Allama Iqbal Open University (AIOU), specializing in condensed matter physics and materials science, with a strong focus on nanostructures, photocatalysis, optoelectronics, and energy-related applications. With over 2,200 citations, an h-index of 19, and more than 30 influential publications, his work demonstrates significant impact in both fundamental science and applied research. Jalil has collaborated extensively with international scholars, including researchers from the University of Science and Technology of China, Hainan University, Auburn University, and the University of Ioannina, reflecting his active engagement in global scientific networks. His notable contributions include advancing solar-driven nitrogen fixation through defect engineering in W18O49, developing novel luminescent phosphors such as YPO4:Dy3+/Eu3+/Tb3+ and Ca2YTaO6:Bi3+/Eu3+ double perovskites, and exploring the optoelectronic and solar energy applications of ZnO nanostructures. He has also made strides in the development of high-performance electromagnetic wave-absorbing aerogels, halide perovskite nanocrystals, and two-dimensional materials like phosphorene-like InP3 and B4C3 monolayers for catalysis and sensing applications. His research integrates experimental synthesis, structural characterization, optical and electronic property tuning, and environmental applications, including photocatalytic degradation of pollutants and assessment of fossil fuel impacts. Through these multidisciplinary studies, Jalil has contributed to both sustainable technologies and advanced materials science, demonstrating innovation in defect tuning, material design, and functional performance optimization. His work has garnered recognition in top journals such as the Journal of the American Chemical Society, Chemical Engineering Journal, Journal of Materials Chemistry, and Journal of Alloys and Compounds, highlighting his role as a leading contributor to the fields of materials science, condensed matter physics, and nanotechnology, with a lasting impact on both academic research and practical applications in energy, environment, and optoelectronic technologies.

Profile: Google Scholar

Featured Publications

  1. Zhang, N., Jalil, A., Wu, D., Chen, S., Liu, Y., Gao, C., Ye, W., Qi, Z., Ju, H., Wang, C., … et al. (2018). Refining defect states in W18O49 by Mo doping: A strategy for tuning N2 activation towards solar-driven nitrogen fixation. Journal of the American Chemical Society, 140(30), 9434–9443.

  2. Hassan, A., Ilyas, S. Z., Jalil, A., & Ullah, Z. (2021). Monetization of the environmental damage caused by fossil fuels. Environmental Science and Pollution Research, 28(17), 21204–21211.

  3. Khan, S. A., Jalil, A., Khan, Q. U., Irfan, R. M., Mehmood, I., Khan, K., Kiani, M., … et al. (2020). New physical insight into crystal structure, luminescence and optical properties of YPO4: Dy3+/Eu3+/Tb3+ single-phase white-light-emitting phosphors. Journal of Alloys and Compounds, 817, 152687.

  4. Zahoor, R., Jalil, A., Ilyas, S. Z., Ahmed, S., Hassan, A., & … et al. (2021). Optoelectronic and solar cell applications of ZnO nanostructures. Results in Surfaces and Interfaces, 2, 100003.

  5. Sial, M. A. Z. G., Baskaran, S., Jalil, A., Talib, S. H., Lin, H., Yao, Y., Zhang, Q., Qian, H., … et al. (2019). NiCoFe oxide amorphous nanoheterostructures for oxygen evolution reaction. International Journal of Hydrogen Energy, 44(41), 22991–23001.

Abdul Jalil’s research advances the frontiers of materials science and condensed matter physics by developing innovative nanostructures, photocatalysts, and optoelectronic materials. His work contributes to sustainable energy solutions, environmental remediation, and advanced technological applications, driving global scientific innovation and practical societal benefits.

Manuel Gimenez | Innovation | Best Innovator Award

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Dr. Manuel Gimenez | Innovation | Best Innovator Award 

Chief Innovation Strategy Officer | Ayesa | Spain

Dr. Manuel Giménez Medina is eminently suitable for the Best Innovator Award based on the exceptional breadth, depth, and real-world impact of his career at the intersection of technology, research, and industry-led innovation. With over two decades of sustained leadership in innovation strategy, technology transfer, and applied research, he has consistently transformed advanced scientific knowledge into scalable digital solutions with measurable economic and social value. As Chief Innovation Strategy Officer at Ayesa and former Innovation Director at Emergya Group, he has led multinational innovation ecosystems, managed high-impact R&D portfolios exceeding tens of millions of euros, and coordinated complex international projects across artificial intelligence, smart cities, cybersecurity, digital agriculture, blockchain, and industrial IoT. His academic excellence is evidenced by a PhD in Software Engineering and Technology with cum laude distinction, Q1 publications in Expert Systems with Applications, and recognized scientific awards for best research articles, demonstrating both thought leadership and methodological rigor. What strongly enhances his candidacy is his rare ability to bridge academia, industry, and public administration through open innovation frameworks, enabling effective knowledge transfer, commercialization, and capacity building. As coordinator and principal investigator of multiple national and European projects such as AgrarIA, D-Rural, AI4Dev, and TIMBERTRACK, he has delivered innovations that directly support sustainability, digital transformation, and regional development. His advisory roles in strategic innovation committees and his trusteeship at a major ICT research foundation further validate his influence on innovation policy and ecosystem development. In education, mentoring, and doctoral supervision, he contributes to nurturing the next generation of innovators. Overall, his combination of scientific excellence, industrial impact, leadership credibility, funding success, and sustained societal contribution clearly positions him as a highly deserving candidate for the Best Innovator Award.

Profiles: Google Scholar | LinkedIn | ResearchGate

Featured Publications

Giménez Medina, M., González Enríquez, J., & Domínguez Mayo, F. J. (2023). The innovation challenge in Spain: A Delphi study. Expert Systems with Applications, 230, 120611.

Giménez Medina, M., González Enríquez, J., & Domínguez Mayo, F. J. (2023). A systematic review of capability and maturity innovation assessment models: Opportunities and challenges. Expert Systems with Applications, 213, 118968.

González Enríquez, J., Giménez Medina, M., & Domínguez Mayo, F. J. (2023). A systematic review of capability and maturity innovation assessment models: SMS. In Proceedings of the XXVII Jornadas de Ingeniería y Bases de Datos (JISBD), Spain.

Giménez Medina, M., González Enríquez, J., & Domínguez Mayo, F. J. (2020). Towards an agile innovation capability maturity framework to enhance investments on ICT organizations. In Proceedings of the 32nd International Conference on Advanced Information Systems Engineering (CAiSE), Spain.

 

Dr. Manuel Giménez Medina’s work drives global innovation by transforming advanced research in artificial intelligence and digital systems into high-impact, real-world solutions for smart cities, cybersecurity, and sustainable agriculture. By bridging academia, industry, and public institutions, his leadership strengthens technology transfer, accelerates digital transformation, and delivers measurable social and economic value at regional, national, and international levels.

Sarvesh Tanwar | Computer Science | Excellence in Research Award

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Prof. Dr. Sarvesh Tanwar | Computer Science | Excellence in Research Award

Professor | Amity University | India

Dr. Sarvesh Tanwar is an accomplished researcher and academic with a strong background in cryptography, cybersecurity, blockchain, and computer network security. She earned her Ph.D. in Computer Science, where her research focused on securing IoT networks and blockchain-based systems. Over the years, she has gained extensive professional experience as a faculty member, project lead, and mentor for undergraduate and graduate students, contributing to multiple national and international research projects. Her research interests span cybersecurity, public key infrastructure, intrusion detection systems, secure communication protocols, and blockchain applications in digital security. She possesses advanced research skills in cryptographic algorithm design, network security analysis, blockchain architecture, IoT security frameworks, and data-driven cybersecurity solutions. Dr. Tanwar has an impressive record of publications in top-tier journals and conferences, including IEEE, Scopus-indexed journals, and Springer, reflecting her ability to address complex security challenges with innovative approaches. Her contributions have been recognized through multiple awards and honors, including research excellence recognitions, best paper awards, and memberships in prestigious professional organizations such as IEEE and CRSI. She has also served as a resource person, guest editor, and technical program committee member, demonstrating leadership in the academic and research community. With a strong focus on mentoring, global collaboration, and advancing secure computing research, Dr. Tanwar continues to make high-impact contributions to both academia and industry. Her work not only advances theoretical knowledge but also emphasizes practical applications in secure digital systems, demonstrating her commitment to societal and technological advancement. Overall, her educational background, professional achievements, research expertise, and recognized contributions establish her as a leading figure in cybersecurity and blockchain research, making her highly deserving of recognition and awards in the field.

Profiles: Google Scholar | Scopus | ORCID | ResearchGate

Featured Publications

  1. Tanwar, S., & Bojarajulu, B. (2023). Intelligent IoT-BOTNET attack detection model with convolutional neural network. Computers, Materials & Continua, 70(2), 2077–2093.Citations: 44

  2. Tanwar, S., Choudhary, V., Choudhury, T., & Kotecha, K. (2024). Towards secure IoT networks: A comprehensive study of metaheuristic algorithms in conjunction with CNN using a self-generated dataset. Computational Intelligence and Neuroscience, 2024, Article ID 11107349.Citations: 11

  3. Tanwar, S., & Kumar, K. (2024). Deep-learning-based cryptanalysis through topic modeling. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  4. Tanwar, S., & Kumar, K. (2024). MAN-C: A masked autoencoder neural cryptography based encryption scheme for CT scan images. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

  5. Tanwar, S., & Kumar, K. (2024). Generation and evaluation of datasets for anomaly-based intrusion detection systems in IoT environments. Engineering, Technology & Applied Science Research, 14(1), 12524–12529.Citations: 4

Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

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Mr. MD Shadman Soumik | Computer Science | Best Researcher Award

Graduate Student | Washington University of Science & Technology | United States

MD Shadman Soumik is a dedicated IT Support and Data Security professional and researcher with extensive expertise in cybersecurity, data analytics, cloud computing, and enterprise IT systems, combining practical experience with innovative research contributions. He earned his Master of Science in Information Technology from Washington University of Science and Technology, Virginia (2025) and a Bachelor of Science in Electrical and Electronic Engineering from North South University, Bangladesh (2017), establishing a strong academic foundation for both technical and analytical proficiency. Over his career, he has worked with organizations including Reliable Home Care Services Corp, Frontier Semiconductor Bangladesh Ltd, and Poran Agro Products Ltd, where he provided comprehensive IT support, implemented cybersecurity protocols, conducted security audits, managed secure data integration, and optimized IT operations to ensure operational efficiency and data protection. His research interests encompass artificial intelligence applications in cybersecurity, network intrusion detection, secure and usable system design, early disease diagnosis using healthcare data, and AI-based financial market prediction. Soumik’s research skills include machine learning, neural networks, cybersecurity operations, database management, cloud computing, data analysis, technical writing, and project management, allowing him to bridge applied IT work and academic research effectively. He has contributed to high-impact publications in journals and conferences such as IEEE ICDSIS, International Journal of Computer Applications (IJCA), International Journal of Scientific Research and Applications (IJSRA), and International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), and he actively participates in professional organizations including the International Society for Data Science and Analytics (USA) and the Institute of Engineers, Bangladesh. His achievements have been recognized through research awards and professional honors that highlight his contributions to cybersecurity, IT management, and applied analytics. In conclusion, MD Shadman Soumik exemplifies a researcher and professional whose combined expertise, leadership, publications, and dedication to innovation make him highly deserving of recognition, with significant potential to advance IT security, artificial intelligence applications, and data analytics on a global scale.

Profile: LinkedIn

Featured Publications

  1. Soumik, M. S., Mahmud, M. R., Sami, S. I., & Tanim, M. K. B. S. (2025). Designing secure and usable systems: The intersection of human-computer interaction, cybersecurity, and machine learning. International Journal of Computer Applications (IJCA).

  2. Tarafdar, R., Soumik, M. S., & Venkateswaranaidu, K. (2025). Applying artificial intelligence for enhanced precision in early disease diagnosis from healthcare dataset analytics. IEEE International Conference on Data Science and Information Systems (ICDSIS).

  3. Soumik, M. S. (2024). A comparative analysis of network intrusion detection (NID) using artificial intelligence techniques for increased network security. International Journal of Scientific Research and Applications (IJSRA).

  4. Tanim, M. K. B. S., Parash, M. H., Soumik, M. S., & Shakib, M. (2024). Enhanced network anomaly detection using convolutional neural networks in cybersecurity operations. International Journal of Computer Applications (IJCA).

  5. Soumik, M. S. (2024). Prediction of the financial stock market: A comprehensive analysis of artificial intelligence. International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), 4(2).