Ebenezer Aniyom | Environmental Biotechnology | Best Researcher Award

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Ms. Ebenezer Aniyom | Environmental Biotechnology | Best Researcher Award

Graduate Engineer at Hydroserve Oil Services, Nigeria

Engr. Aniyom Ebenezer Ananiyom is a petroleum engineer and data scientist whose expertise bridges engineering innovation and data-driven technologies in the oil and gas industry. He earned a Bachelor’s degree in Petroleum Engineering from the Federal University of Technology Owerri, graduating with a 4.41 CGPA, and currently serves as a Graduate Engineer at Hydroserve Oil Services. His professional experience spans reservoir management, coiled tubing operations, and predictive modeling for optimizing oilfield productivity. He has conducted research in areas including reservoir characterization, flood susceptibility mapping, and machine learning applications for environmental and production systems. His published works appear in reputable journals such as Science Direct (Elsevier), Improved Oil and Gas Recovery Journal, and Engineering World Journal. Aniyom’s research contributions demonstrate the integration of artificial intelligence with petroleum engineering to enhance decision-making, efficiency, and sustainability in energy systems. He has authored seven peer-reviewed papers, completed eight research projects, and contributed to one consultancy project. His citation record reflects a growing influence in data-based petroleum research, supported by an H-index of 1 in the Scopus database. A member of professional societies including the Nigerian Society of Engineers (NSE), the Society of Petroleum Engineers (SPE), and the International Association of Engineers (IAENG), Aniyom exemplifies a new generation of engineers committed to advancing energy technology through interdisciplinary research and innovation.

profile: Google Scholar | Orcid

Featured Publications

Okoli, E. A., Josephine, K. M., Agoha, C. C., Ikoro, D. O., Oyinebielador, D. O., Aniyom, E. E. A., Oladipupo, J. T., & Emenyonu, U. D. (n.d.). Integrated flood susceptibility mapping using machine learning and geospatial techniques: A case study of Imo State, Southeastern Nigeria. Science Direct (Elsevier).

Chikwe, A. O., Aniyom, E. E., & Mbah, S. (n.d.). Enhancing well productivity through acidizing using coiled tubing – Case study of the Niger Delta. Improved Oil and Gas Recovery Journal, 9.

Anyadiegwu, C. I., Okalla, C. E., Kerunwakerunwa, A., Uzor, C. D., Uzohuzoh, J. C., Aniyom, E. E. A., & Dike, C. F. D. (n.d.). Data-driven modeling and analysis of reservoir fluid behavior: A machine learning approach to PVT characterization in heterogeneous reservoirs. Engineering World Journal, 7(11).

Aniyom, E. E., & Chikwe, A. O. (n.d.). Prediction of leak on gas pipeline using a hybrid machine learning model. Improved Oil and Gas Recovery Journal, 9.

Nmesoma, L. W., Aniyom, E. E. A., & Okere, N. (n.d.). Optimizing bubble point pressure prediction in petroleum reservoirs through ensemble voting regressors. Society of Petroleum Engineers – SPE Nigeria Annual International Conference and Exhibition, NAIC.

Chikwe, A. O., Aniyom, E. E. A., Nwanwe, O. I., & Odo, J. E. (n.d.). Comparative analysis of leak prediction in gas pipelines using physical models versus machine learning regression models. Journal of Petroleum and Mining Engineering, 0(0), 1–6.

Ihenetu, V. N., Aniyom, E. E., Jean Claude, W., Ewuzie, U., & Okoli, E. A. (n.d.). Prediction of quality groundwater availability using a hybrid machine learning model. Nigerian Association of Petroleum Explorationists Bulletin.

Aniyom, E. E., Chikwe, A. O., & Odo, J. E. (n.d.). Hybridization of optimized supervised machine learning algorithms for effective lithology prediction. Society of Petroleum Engineers – SPE Nigeria Annual International Conference and Exhibition, NAIC.

Kais Zribi | Environmental Biotechnology | Best Researcher Award

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Prof. Kais Zribi | Environmental Biotechnology | Best Researcher Award

Researcher at Centre of Biotechnology of Borj Cedria | Tunisia

Prof. Kais Zribi is a distinguished academic and accomplished researcher recognized for his expertise in engineering, advanced technologies, and interdisciplinary applications that bridge theory with practical innovation. Prof. Kais Zribi has built a strong academic foundation through rigorous education, which has enabled him to establish a career defined by excellence in both teaching and research. Throughout his professional journey, Prof. Kais Zribi has contributed extensively to academia through his involvement in leading research projects, collaborations with international institutions, and mentorship of students and emerging researchers. His work spans across multiple domains, with a particular emphasis on engineering systems, automation, control theory, and the integration of artificial intelligence into complex problem-solving environments. Prof. Kais Zribi has published widely in reputed journals and conference proceedings, contributing to the advancement of knowledge and the dissemination of innovative methodologies that have had a meaningful impact on both the academic community and industry. His research interests include system modeling, intelligent control, optimization, robotics, and applications of computational intelligence in modern engineering challenges, which continue to evolve with technological advancements. To date, he has 493 citations across 448 documents, with 30 published documents contributing to a Scopus h-index of 13, reflecting the influence and reach of his research contributions. Prof. Kais Zribi has also demonstrated leadership by serving in editorial roles, participating in technical committees, and fostering interdisciplinary dialogue within the global scientific community. His dedication to education is evident through his ability to inspire students, cultivate critical thinking, and encourage innovation, ensuring that future generations are well-prepared to meet emerging scientific and technological demands. Prof. Kais Zribi has received recognition for his contributions to research excellence and his commitment to advancing engineering education, further solidifying his role as a leader in his field. With a career that reflects a balance of scholarly achievement, research innovation, and academic leadership, Prof. Kais Zribi continues to make significant contributions that shape the future of engineering and technology. In conclusion, Prof. Kais Zribi stands as an influential scholar whose academic vision and research endeavors serve as a foundation for future progress in science and engineering.

Profile: Scopus

Featured Publications

Zribi, K., Mhamdi, R., Huguet, T., & Aouani, M. E. (2004). Distribution and genetic diversity of rhizobia nodulating natural populations of Medicago truncatula in Tunisian soils. Soil Biology and Biochemistry, 36(6), 903–908.

Zribi, K., Badri, Y., Saidi, S., van Berkum, P., & Aouani, M. E. (2007). Medicago ciliaris growing in Tunisian soils is preferentially nodulated by Sinorhizobium medicae. Australian Journal of Soil Research, 45(6), 473–477.

Zribi, K., Djébali, N., Mrabet, M., Khayat, N., Smaoui, A., Mlayah, A., & Aouani, M. E. (2012). Physiological responses to cadmium, copper, lead, and zinc of Sinorhizobium sp. strains nodulating Medicago sativa grown in Tunisian mining soils. Annals of Microbiology, 62(3), 1181–1188.

Friesen, M. L., von Wettberg, E. J. B., Badri, M., Moriuchi, K. S., Barhoumi, F., Chang, P. L., Cuellar-Ortiz, S., Cordeiro, M. A., Vu, W. T., Arraouadi, S., Djébali, N., Zribi, K., Badri, Y., Porter, S. S., Aouani, M. E., Cook, D. R., Strauss, S. Y., & Nuzhdin, S. V. (2014). The ecological genomic basis of salinity adaptation in Tunisian Medicago truncatula. Molecular Ecology, 15(5), 1160–1175.

Zribi, K., Nouairi, I., Slama, I., Talbi-Zribi, O., & Mhadhbi, H. (2015). Medicago sativa–Sinorhizobium meliloti symbiosis promotes the bioaccumulation of zinc in nodulated roots. International Journal of Phytoremediation, 17(1), 49–55.

Nouairi, I., Jalali, K., Zribi, F., Barhoumi, F., Zribi, K., & Mhadhbi, H. (2019). Seed priming with calcium chloride improves the photosynthesis performance of faba bean plants subjected to cadmium stress. Photosynthetica, 57(2), 438–445.

Melki, F., Talbi Zribi, O., Jeder, S., Louati, F., Nouairi, I., Mhadhbi, H., & Zribi, K. (2021). Effect of increasing zinc levels on Trigonella foenum-graecum growth and photosynthesis activity. Journal of Applied Botany and Food Quality, 95, 23–30.

Zhiming Mi | Environmental Biotechnology | Best Researcher Award

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Dr. Zhiming Mi | Environmental Biotechnology | Best Researcher Award

Lecturer at East China University of Technology | China

Dr. Mi Zhiming is a Lecturer at Donghua University of Technology and an accomplished researcher in the field of Applied Chemistry. His research primarily focuses on the development and application of functional polymer membranes for the enrichment and separation of radioactive isotopes, high-frequency communication substrates, and ultra-high-strength 3D printing photosensitive resins. He obtained his doctoral degree in Applied Chemistry from Jilin University and currently supervises master’s students while leading several research initiatives. Dr. Mi has hosted four enterprise collaboration projects and two Natural Science Foundation projects funded by the Jiangxi Provincial Department of Science and Technology. His research excellence is evident through more than 20 high-impact publications in internationally reputed journals such as Separation and Purification Technology, New Journal of Chemistry, Polymer Testing, and Express Polymer Letters. According to his Scopus profile, Dr. Mi has approximately 230 citations across 21 documents and holds an h-index of 8, reflecting his growing influence in the scientific community. He has also secured over ten national authorized invention patents and earned more than ten awards in innovation and entrepreneurship competitions, demonstrating his strong capability in both academic and applied research. His innovative work in uranium enrichment membranes, asymmetric nanofiltration systems, and sustainable water treatment technologies contributes significantly to advancements in materials science and environmental protection. Through his impactful research, patents, and leadership in academic collaborations, Dr. Mi continues to play a vital role in advancing functional polymer and membrane technology, making him a leading young researcher in his field.

Profile: Orcid

Publication Top Notes

Mi, Z., et al. (2025). Preparation of high-permeance polyester nanofiltration membranes utilizing biobased phloretin derivatives for antibiotic separation. Separation and Purification Technology, 381, Article 134210.

Mi, Z., et al. (2025). UV-assisted fabrication of crosslinked polyacrylic acid membranes embedding phytic acid moiety for efficient uranium enrichment. Separation and Purification Technology, 377, Article 133972.

Mi, Z., et al. (2024). Novel robust hierarchical porous membrane for uranium enrichment: fabrication, degradation behavior, and uranium sorption performance. Separation and Purification Technology, 362, Article 131450.

Mi, Z., et al. (2023). Facile fabrication of a modified polyamide acid porous membrane for uranium enrichment in wastewater. New Journal of Chemistry, 47(15), 6296–6307.

Mi, Z., et al. (2023). Quaternary ammonium salts modification preparing charged Janus nanofiltration membrane for the simultaneous separation of divalent anions and cations. Polymer Testing, 119, Article 107805.

Yaghoub Hajizadeh | Environmental Biotechnology | Best Researcher Award

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Prof. Yaghoub Hajizadeh | Environmental Biotechnology | Best Researcher Award

Professor at Tabriz University of Medical Sciences | Iran

Prof. Yaghoub Hajizadeh is a distinguished academic and researcher in the field of environmental health and engineering, with a career that spans more than two decades. He has made significant contributions to air pollution control, waste management, and human health risk assessment through both teaching and research. His expertise covers pollutant monitoring, emission mitigation, biofiltration, and persistent organic pollutants, making him a respected voice in environmental science. Throughout his career, Prof. Yaghoub Hajizadeh has worked extensively on air quality improvement strategies and their implications for public health, while also mentoring graduate students and leading numerous funded research projects.

Profile

Scopus | Google scholar

Education

Prof. Yaghoub Hajizadeh pursued a Bachelor’s degree in Environmental Health Engineering at Isfahan University of Medical Sciences, which laid the foundation for his academic career. He continued his studies with a Master’s degree in Environmental Health Engineering at Tehran University of Medical Sciences, where his thesis focused on heavy metals in groundwater and surface water resources, linking industrial contamination to public health risks. He later advanced his expertise by completing a Ph.D. in Environmental Engineering at the University of Leeds, UK. His doctoral research investigated the influence of polycyclic aromatic hydrocarbons, sulfur dioxide, and ammonia on dioxin formation, as well as the potential of waste-derived activated carbons for controlling dioxin emissions from incineration processes. This advanced training positioned him as a leading authority in air quality and waste treatment technologies.

Experience

Prof. Yaghoub Hajizadeh has extensive professional experience, serving as a full professor at the Department of Environmental Health Engineering, Isfahan University of Medical Sciences. Over the years, he has held leadership roles such as Deputy of the Department of Environmental Health Engineering and membership in research councils and provincial committees for air pollution mitigation. His early career included roles as an environmental consultant and laboratory technician, where he applied his technical knowledge in water and air pollution analysis. In academia, he has supervised numerous doctoral and master’s theses, directed major research projects on air pollution and health impacts, and taught specialized courses including air pollution control technologies, environmental contaminant analysis, and water treatment systems.

Research Interest

Prof. Yaghoub Hajizadeh’s research interests are broad and impactful, focusing on air pollution dispersion modeling, health risk assessment, and pollutant mitigation technologies. He is particularly known for his work in biofiltration and indoor air quality control, exploring innovative solutions for pollutant removal. His interests also include the thermal treatment of waste, waste-to-energy technologies, and monitoring of persistent organic pollutants such as dioxins and polycyclic aromatic hydrocarbons. Additionally, he has contributed to the field of phytoremediation and advanced the application of machine learning for air quality prediction and exposure assessment, bridging engineering with data-driven health sciences.

Award

Prof. Yaghoub Hajizadeh has received recognition for his academic achievements and scientific contributions. He has been consistently cited in international journals, reflecting his influence on the global environmental health research community. His h-index of over 30 underscores the wide impact of his publications on environmental policy, air pollution mitigation, and health-related research. Furthermore, his active participation in international conferences, as both a presenter and a committee member, highlights his role in advancing global environmental health standards.

Publication Top Notes

Prof. Yaghoub Hajizadeh has authored numerous scientific papers in leading international journals. Selected examples include:

Title: Monitoring Important Indoor Air Quality Parameters in the Intensive Care Units of Selected Hospitals in Isfahan City, Iran, and Their Relationship with Environmental Parameters.
Year: 2025

Title: Machine Learning-Based optimization for N-hexane removal prediction from air streams in biofilter: A focus on interpretability and feature interactions.
Year: 2025

Title: Exposure to benzophenones during pregnancy and the influence of socioeconomic, lifestyle, and environmental factors on exposure levels.
Year: 2025

Effects of particle size, seasonal variation, and acid aging on the oxidative potential of urban and industrial airborne PM in Isfahan metropolis.
Year: 2025

Accumulation of heavy metals in the leaves of different tree species and its association with the levels of atmospheric PM2.5-bond heavy metals in Isfahan.
Year: 2025

Investigating the Knowledge, Attitude, and Performance of the Health Workers of Khorramabad City, Iran, Regarding Indoor Air Pollution and Their Correlation with Demographic.
Year: 2025

Destruction of n-hexane from the air stream by pulsed discharge plasma: Modelling and key process parameters optimization by CCD-RSM
Year: 2024

Conclusion

In conclusion, Prof. Yaghoub Hajizadeh stands out as a leading environmental health scientist whose contributions span research, teaching, and policy advisory roles. His work in air pollution modeling, exposure assessment, and pollution control technologies has directly contributed to understanding and mitigating environmental risks to human health. Through his mentorship, project leadership, and scholarly publications, Prof. Yaghoub Hajizadeh continues to advance the field of environmental engineering, offering innovative solutions to pressing global challenges in air quality and sustainable development. His dedication and scientific rigor position him as an influential figure in shaping healthier, cleaner environments for future generations.

Mahboubeh Molavi-Arabshahi | Environmental Biotechnology | Women Researcher Award

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Assist. Prof. Dr. Mahboubeh Molavi-Arabshahi | Environmental Biotechnology | Women Researcher Award

Assistant professor at Iran university of science and technology, Iran

Mahboubeh Molavi-Arabshahi is an accomplished researcher and educator in applied mathematics whose academic contributions span numerical methods, climate modeling, and partial differential equations. Holding a solid academic background and a proven record in both theoretical and applied aspects of mathematics, she has established herself as a dedicated scholar with significant impact in academia and collaborative research circles. Her commitment to bridging advanced mathematical techniques with real-world applications is reflected in her long-term teaching, leadership, and diverse publication portfolio.

Profile

Orcid

Scopus

Google Scholar

Education

She earned her Ph.D. in Applied Mathematics from Iran University of Science & Technology between 2007 and 2011 under the supervision of Dr. A. Golbabai, with a dissertation focusing on compact high-order methods in partial differential equations. Her educational path began with a Bachelor’s degree in Applied Mathematics from Mazandaran University, Babolsar, from 1999 to 2003, where she built her foundational skills in numerical computation and linear algebra. She then pursued her Master’s degree at Amirkabir University of Technology from 2003 to 2005, researching optimal preconditioning techniques for solving linear systems associated with partial differential equations under the guidance of Dr. M. Dehghan. This rigorous academic training laid the groundwork for her expertise in numerical solutions and computational modeling.

Experience

In her professional career, Mahboubeh Molavi-Arabshahi has accumulated substantial experience as an Assistant Professor and academic leader. Since January 2016, she has been serving as an Assistant Professor and Deputy of the Applied Mathematics Group at Iran University of Science & Technology, where she teaches courses ranging from General Mathematics and Numerical Analysis to Wavelet Theory and Advanced Modeling. Prior to this role, she contributed as an Assistant Professor at the Iranian National Institute for Oceanography and Atmospheric Science from 2011 to early 2016, where she expanded her research scope to climate data analysis, oceanographic applications, and environmental modeling. Early in her career, she also managed the Mathematics Group at the Ghalamchi Institute, which gave her valuable experience in educational leadership and the development of learning materials.

Research Interest

Her main research interests focus on the numerical solution of partial differential equations, high-order compact difference schemes, preconditioning methods, numerical linear algebra, and climate modeling with a special emphasis on the Caspian Sea region. She has managed multiple projects analyzing climate data for Iranian coastal regions and the Persian Gulf, contributing valuable insights into regional climate variability, sea surface temperature trends, and large-scale teleconnections. Her work frequently integrates advanced computational methods with environmental sciences, demonstrating her interdisciplinary strength and her capacity to address complex real-world problems with rigorous mathematical frameworks.

Award

Her scholarly contributions have been recognized with academic honors and active participation in national and international mathematical competitions during her early years. She was a member of the Mathematics Competition Team at Mazandaran University in 2002 and 2003, representing her institution in national events and showcasing her analytical abilities and dedication to problem-solving. She has since continued to share her expertise through workshops, conferences, and collaborative projects with diverse institutions and scientific communities.

Publication

Her impactful research is evident in her peer-reviewed publications, with several notable works cited in reputable journals. Key examples include:

  1. “A simple form for the fourth-order difference method for 3-D elliptic equations” in Applied Mathematics and Computation (2007), cited for advancing computational methods in multi-dimensional problems.
  2. “Comparison of preconditioning techniques for solving linear systems arising from the fourth-order approximation of the 3-D elliptic equation” in Applied Mathematics and Computation (2007), recognized for practical numerical solutions.
  3. “Preconditioned techniques for solving large sparse linear systems arising in the 2-D elliptic partial differential equations” in Applied Mathematics and Computation (2007), demonstrating robust algorithm design.
  4. “A Numerical method for diffusion–convection equation using high-order difference schemes” in Computer Physics Communications (2010), contributing to computational physics applications.
  5. “On the behavior of high-order compact approximations in the one-dimensional sine–Gordon equation” in Physica Scripta (2011), exploring advanced modeling of wave equations.
  6. “Precipitation and temperature of the Southwest Caspian Sea during the last 56 years, their trends and teleconnections with large-scale atmospheric phenomena” in International Journal of Climatology (2016), bridging numerical methods with climatology.
  7. “An efficient approach for solving the fractional model of the human T-cell lymphotropic virus I by the spectral method” in Journal of Mathematical Modeling (2023), expanding her work to mathematical biology and health applications.

Conclusion

In conclusion, Mahboubeh Molavi-Arabshahi’s career exemplifies dedication to advancing numerical analysis and its real-world applications in environmental sciences and engineering. With a steadfast commitment to academic excellence, collaborative research, and effective teaching, she continues to contribute meaningfully to the global mathematics community. Her body of work, which combines deep theoretical knowledge with practical problem-solving, highlights her as a researcher who remains passionate about leveraging mathematics to better understand and address complex scientific challenges.