Dr. Partha Ghosh | AI in Engineering | Best Researcher Award

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Dr. Partha Ghosh | AI in Engineering | Best Researcher Award

Dr. Partha Ghosh | Netaji Subhash Engineering College | India

Dr. Partha Ghosh is a seasoned academic and researcher with more than 22 years of professional experience in Computer Science and Information Technology, currently serving as Associate Professor in the Department of Information Technology and Head of the Department of Computer Science and Business Systems at Netaji Subhash Engineering College, Kolkata. His research expertise spans Computer Networking, Machine Learning, Cloud Computing, Intrusion Detection Systems, Optimization Algorithms, Feature Selection and Classification Techniques, with a focus on developing secure, intelligent and high-performance cloud-based computational environments. His scholarly impact is reflected through 16 SCOPUS-indexed documents, 194 citations by 173 documents and an h-index of 7. Additionally, his ORCID profile lists 20 research works, and according to Google Scholar he has 333 citations (244 since 2020), an h-index of 10 (9 since 2020) and an i10-index of 10 (9 since 2020), demonstrating consistent and growing research visibility. To date, he has authored 24 publications including indexed journal papers, international conference papers and book chapters. He has taught a wide range of core and advanced courses such as Computer Organisation, Computer Networks, Advanced Computer Networking, Microprocessors and Microcontrollers and Database Management Systems at undergraduate and postgraduate levels. His academic engagement also includes serving as Editor-in-Chief and Editorial Board Member of reputed journals and holding multiple Fellow and Life Membership roles across professional bodies, underscoring his continued commitment to research innovation, knowledge dissemination and academic leadership.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Ghosh, P., Mandal, A. K., & Kumar, R. (2015). An efficient cloud network intrusion detection system. In Information Systems Design and Intelligent Applications: Proceedings of …

Ghosh, P., Karmakar, A., Sharma, J., & Phadikar, S. (2018). CS-PSO based intrusion detection system in cloud environment. In Emerging Technologies in Data Mining and Information Security: Proceedings …

Ghosh, P., & Mitra, R. (2015). Proposed GA-BFSS and logistic regression based intrusion detection system. In Proceedings of the 2015 Third International Conference on Computer …

Ghosh, P., Sarkar, D., Sharma, J., & Phadikar, S. (2021). An intrusion detection system using modified-firefly algorithm in cloud environment. International Journal of Digital Crime and Forensics, 13(2), 77–93.

Ghosh, P., Debnath, C., Metia, D., & Dutta, R. (2015). An efficient hybrid multilevel intrusion detection system in cloud environment. IOSR Journal of Computer Engineering, 16(4), 16–26.

Ghosh, P., Shakti, S., & Phadikar, S. (2016). A cloud intrusion detection system using novel PRFCM clustering and KNN based dempster-shafer rule. International Journal of Cloud Applications and Computing, 6(4), 18–35.

Prof. Dr. Raziyeh Pourdarbani | AI in Engineering | Research Excellence Award

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Prof. Dr. Raziyeh Pourdarbani | AI in Engineering | Research Excellence Award

Prof. Dr. Raziyeh Pourdarbani | University of Mohaghegh Ardabili | Iran

Prof. Dr. Raziyeh Pourdarbani is a distinguished professor in the Department of Biosystems Engineering at the University of Mohaghegh Ardabili, highly regarded for her academic and research contributions in smart and sustainable agriculture. She holds a Ph.D. in Agricultural Mechanization Engineering from the University of Tabriz and has developed deep expertise in precision agriculture, image processing, artificial intelligence, and machine vision with a focus on non-destructive quality evaluation of agricultural products. Her work advances the use of hyperspectral imaging, convolutional neural networks, metaheuristic algorithms, and Vis-NIR spectroscopy to address key challenges such as fruit bruise detection, nitrogen stress monitoring in plant leaves, and estimation of internal chemical properties in horticultural crops. She has also contributed impactful studies on sustainable energy systems related to agriculture, including biomethane production, hybrid geothermal–solar power plant optimization, and exergy-based diesel engine performance enhancement. Her research portfolio consists of 45 scientific documents with 762 citations from 639 citing documents, supported by an h-index of 17, demonstrating strong global visibility and scholarly influence. Through her innovative work integrating computational intelligence with biosystems engineering, she plays a leading role in advancing intelligent agriculture technologies that enhance productivity, reduce environmental impacts, and support long-term sustainability in the agricultural sector.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Pourdarbani, R., Ghassemzadeh, H. R., Seyedarabi, H., Nahandi, F. Z., & others. (2015). Study on an automatic sorting system for Date fruits. Journal of the Saudi Society of Agricultural Sciences, 14(1), 83-90.

  • Alibaba, M., Pourdarbani, R., Manesh, M. H. K., Ochoa, G. V., & Forero, J. D. (2020). Thermodynamic, exergo-economic and exergo-environmental analysis of hybrid geothermal-solar power plant based on ORC cycle using emergy concept. Heliyon, 6(4).

  • Pourdarbani, R., Sabzi, S., Kalantari, D., Karimzadeh, R., Ilbeygi, E., & Arribas, J. I. (2020). Automatic non-destructive video estimation of maturation levels in Fuji apple (Malus pumila) fruit in orchard based on colour (Vis) and spectral (NIR) data. Biosystems Engineering, 195, 136-151.

  • Pourdarbani, R., Sabzi, S., Kalantari, D., & Arribas, J. I. (2020). Non-destructive visible and short-wave near-infrared spectroscopic data estimation of various physicochemical properties of Fuji apple (Malus pumila) fruits at different stages. Chemometrics and Intelligent Laboratory Systems, 206, 104147.

  • Razieh Pourdarbani, D. K. J. M. M. M., Sabzi, S., Hernández-Hernández, M., & José Luis … (2019). Comparison of different classifiers and the majority voting rule for the detection of plum fruits in garden conditions. Remote Sensing, 11(2546).

  • Salimi, M., Pourdarbani, R., & Nouri, B. A. (2020). Factors affecting the adoption of agricultural automation using Davis’s acceptance model (case study: Ardabil). Acta Technologica Agriculturae, 23(1), 30-39.

 

 

Prof. Dr Adrian Tunduc | Internet of Things | Editorial Board Member

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Prof. Dr Adrian Tunduc | Internet of Things | Editorial Board Member

Prof. Dr Adrian Tunduc | Oradea University | Romania

Prof. Dr Adrian Tunduc is a distinguished academic, researcher, and managerial professional whose career spans higher education, strategic research, and successful leadership across multiple industries. As a senior lecturer at the University of Oradea’s Faculty of Environment, he has achieved an exceptional academic performance score, far exceeding standard benchmarks, while teaching and developing key disciplines such as forest management, forest economics, quality management, tourism management, furniture technology, and wildlife resource management for both graduate and master’s students. His academic excellence is complemented by extensive experience in applied research, notably during his tenure as an associate researcher at the National Economic Research Institute of the Romanian Academy, where he led impactful projects on marketing research, feasibility studies for bio-land certification, Horizon 2020 applications, and strategic planning for the Danube microregion. Beyond academia, he has demonstrated strong business leadership through management roles in hospitality, transport, and manufacturing sectors, including transforming Vila De la Lugas into a high-performing guest facility with exceptional customer ratings. His earlier management of production and transport companies further highlights his ability to grow businesses, optimize operations, and innovate within competitive environments. Throughout his career, he has consistently delivered excellence through strategic thinking, academic rigor, and strong organizational development skills.

Profile: Google Scholar

Featured Publications

1. T., Adrian. (2010). E-Marketing in the Romanian agriculture and rural development.

2. T., Adrian. (2021). Forest governance for the future health of the planet.

3. T., Adrian. (2021). Forest economics: From theory to sustainable applications.

4. Tunduc, A. (2010). Marketing electronic în agricultură şi dezvoltarea rurală. Editura Universităţii din Oradea.

5. T., Adrian. (2018). The cluster concept for a sustainable development of thermal spa in România. Analele Universităţii Oradea, Fascicula Protecţia Mediului, 31(23), 273–277.

6. T., Adrian. (2018). Romanian bioresources – The thermal waters as a contribution to the Romanian tourism development. Analele Universităţii Oradea, Fascicula Protecţia Mediului, 30(23), 259–262.

Mr. Oussama El Gharras | Sustainable Engineering | Innovative Research Award

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Mr. Oussama El Gharras | Sustainable Engineering | Innovative Research Award

Mr. Oussama El Gharras | National Institute for Agricultural Research | Morocco

Mr. Oussama El Gharras is a distinguished agricultural engineering specialist with extensive expertise in mechanization, conservation agriculture, and the development of farm machinery, supported by a research record featuring 57 citations by 55 documents, 8 published documents, and an h-index of 4. Born on 22 November 1962 in Marrakech, he earned his Ingénieur d’application degree from IAV Hassan II, followed by a Master of Science in Agricultural Engineering from Oklahoma State University and PHD coursework at the University of Nebraska–Lincoln, later strengthening his managerial background through the Cycle Supérieur de Gestion at ENCG Settat. His career at INRA encompasses major contributions to small farm mechanization, animal traction, food legume production mechanisation, and the design and industrial development of No-Till seed drills and feed block units. He managed the INRA agricultural engineering laboratory and coordinated several national and international initiatives, including the INRA-IAV-DERD No-Till project, AAAID-CRRA Settat program, AusAID-ACIAR-INRA collaboration, and ConServeTerra. As Vice President of AGENDA and an active member of AMAC and the National Commission of Agricultural Mechanization, he continues to play a pivotal role in advancing sustainable agriculture in North Africa. His scientific publications address conservation agriculture, weed dynamics, and resilient farming systems in semi-arid regions.

Profile: Scopus

Featured Publications

El Gharras, O. (2024). Perceptions and sociocultural factors underlying adoption of conservation agriculture in the Mediterranean. Agriculture and Human Values.

El Gharras, O., El Mourid, M., & Boulal, H. (2016). Conservation agriculture in North Africa: Experiences, achievements and challenges. In A. Kassam et al. (Eds.), Conservation agriculture for Africa: Building resilient farming systems in changing climate. CAB International.

Tanji, A., El Gharras, O., Mayfield, A., & El Mourid, M. (2017). On-farm evaluation of integrated weed management in no-till rainfed crops in semi-arid Morocco. African Journal of Agricultural Research, 12(16), 1404–1410.

Tanji, A., El Gharras, O., Ouabbou, H., & Mladen, T. (2017). Weed dynamics in no-till rainfed crops in Chaouia, semi-arid Morocco. Journal of Agricultural Science, 9(11).

El Gharras, O., El Brahli, A., & El Mourid, M. (2009). No-till system applied to Northern Africa rainfed agriculture: Case of Morocco. In Proceedings of the 4th World Congress on Conservation Agriculture (pp. xx–xx). New Delhi, India.

El Gharras, O., & Idrissi, M. (2006). Contraintes technologiques au développement du semis direct au Maroc. Options Méditerranéennes, Série A: Séminaires Méditerranéens, 69, 121–124.

El Gharras, O., Ait Lhaj, A., & Idrissi, M. (2004). Développement d’un semoir non labour industriel. In Deuxièmes Rencontres Méditerranéennes sur le Semis Direct (pp. 74–81). FERT/RCM; AGER.

 

Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award

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Dr. Gun Rae Cho | Robotics & Automation | Excellence in Research Award

Dr. Gun Rae Cho | Korea Institute of Robotics and Technology Convergence | South Korea

Dr. Gun Rae Cho has significantly advanced the field of underwater robotics through pioneering research in autonomous marine systems, intelligent control, and mission-resilient subsea technologies. With 435 citations across 401 documents, 46 publications, and an h-index of 10, he has established a strong scientific footprint in marine autonomy and robotic innovation. His work encompasses robust control of AUVs, relative-motion–based multi-thruster coordination, and adaptive maneuvering strategies that ensure stability, precision, and reliability in turbulent, shallow-water, and highly turbid environments. Dr. Cho has led the development of digital-twin inspection systems for ports, dams, locks, and subsea infrastructure, integrating imaging sonar, inertial navigation, acoustic sensing, and AI-driven perception for high-fidelity autonomous inspection. He has also contributed to next-generation diver-assistance robotics and advanced teleoperation-assistance technologies for underwater manipulators, improving safety and efficiency in complex intervention tasks. Through leadership in major national R&D projects, he has strengthened Korea’s capabilities in maritime search operations, underwater infrastructure O&M, autonomous robotic fleets, and heavy-duty ROV industrialization. His extensive collaborations with universities, research institutes, and industry have produced practical robotic platforms and inspection solutions that support marine safety and technological growth. Collectively, his contributions position Korea at the forefront of intelligent ocean-technology development.

Profiles: Scopus | Orcid

Featured Publications

Cho, G. R., Kang, H., Li, J.-H., Kim, M.-G., Jin, H., Lee, M.-J., & Jin, S. (2025). Estimation of hydrodynamic coefficients for the underwater robot P-SUROII via constraint recursive least squares method. Journal of Marine Science and Engineering, 13(9), Article 1610.

Cho, G. R., Kang, H., Kim, M.-G., Lee, M.-J., Li, J.-H., Kim, H., Lee, H., & Lee, G. (2023). An experimental study on trajectory tracking control of torpedo-like AUVs using coupled error dynamics. Journal of Marine Science and Engineering, 11(7), Article 1334.

Li, J.-H., Kang, H., Kim, M.-G., Lee, M.-J., Cho, G. R., & Jin, H.-S. (2022). Adaptive formation control of multiple underactuated autonomous underwater vehicles. Journal of Marine Science and Engineering, 10(9), Article 1233.

Cho, G.-R., Ki, G., Lee, M.-J., Kang, H., Kim, M.-G., & Li, J.-H. (2021). Experimental study on tele-manipulation assistance technique using a touch screen for underwater cable maintenance tasks. Journal of Marine Science and Engineering, 9(5), Article 483.

Li, J.-H., Lee, M.-J., Kang, H., Kim, M.-G., & Cho, G. R. (2021). Design, performance evaluation, and field test of a water jet tool for ROV trencher. Journal of Marine Science and Engineering, 9(3), Article 296.

Cho, G. R., Ki, H., Li, J.-H., Lee, M., & Jee, S. C. (2018). Assisted teleoperation for underwater manipulation utilizing touch screen inputs. 2018 15th International Conference on Ubiquitous Robots (UR), 271–276.

 

Dr. Federica Perazzotti | Aerospace Engineering | Best Researcher Award

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Dr. Federica Perazzotti | Aerospace Engineering | Best Researcher Award

Dr. Federica Perazzotti | Alma Sistemi Srl – Engineering for Space | Italy

Dr. Federica Perazzotti is a dynamic researcher and project manager whose academic foundation in Natural Sciences and a PhD in Sustainable Development and Climate Change has shaped her multidisciplinary expertise across coastal geomorphology, climate evolution, and applied research for space engineering. With 8 citations by 6 documents, 5 documents, and an h-index of 2, she has contributed to diverse scientific discussions through numerous lectures, workshops, and conference presentations at national and international levels, including EGU, SGI, and the Swiss Geoscience Meeting. Throughout her doctoral journey, she engaged in geological fieldwork, numerical modelling collaborations, academic communication management, and international mobility at the University of the Balearic Islands. Her work spans coastal evolution during Late Pleistocene climatic phases, short-term beach profile modelling, and climate-related hazard interpretation. Following her PhD, she assumed the role of Project Manager in the Research and Development Department and Social Media Manager at ALMA SISTEMI – Engineering for Space, where she contributes to European research initiatives, outreach, and technical coordination. She has participated in major scientific and industry events such as the National Marine Geology Conference, ASI Horizon Europe Cluster 4, Remtech Expo, and EU project workshops, reflecting her commitment to bridging scientific research, technological innovation, and interdisciplinary communication.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Perazzotti, F., Del Valle, L., & Fornós, J. J. (2024). An overview of Upper Pleistocene coastal deposits on Mallorca Island. Quaternary International, 707, 60–71.

Perazzotti, F., Del Valle, L., Cossu, G., Pascucci, V., & Fornós, J. J. (2025). Paleoenvironmental changes and sea-level fluctuations record at Punta de s’Avançada, Mallorca Island. Quaternary International, 735, 109839.

Perazzotti, F., Del Valle, L., & Fornós, J. J. (2024). Upper Pleistocene in Mallorca: Sedimentary variability of littoral units in relation to different structural contexts. Quaternary International, 709, 1–14.

Del Valle, L., Perazzotti, F., & Fornós, J. J. (2025). Cliff-front dune development during the Late Pleistocene at Sa Fortalesa (Mallorca, Western Mediterranean). Geosciences, 15(7), 260.

Perazzotti, F., & Del Valle, L. (2025). Resilience by the sea: Coastline evolution in Latina, Latium. Journal of Marine Science and Engineering.

Perazzotti, F., Gómez-Pujol, L., Cossu, G., Pascucci, V., & Fornós, J. J. (2025). Pleistocene stratigraphy of aeolian deposits at the base of an energetic structural coastal slope: Sedimentology and OSL chronology (Port des Canonge, Mallorca, Western Mediterranean). Geomorphology, 110051.

Prof. Ebenezer Esenogho | Artificial Intelligence | Best Researcher Award

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Prof. Ebenezer Esenogho | Artificial Intelligence | Best Researcher Award

Prof. Ebenezer Esenogho | University of South Africa | South Africa

Prof. Ebenezer Esenogho (NRF C2-rated) is a distinguished academic and research leader recognized for his extensive contributions to Artificial Intelligence, telecommunications engineering, and digital innovation. With a strong background in computer, electronics, and communication engineering, he has built an influential career marked by advanced research, academic leadership, and international collaboration. He has produced impactful work across areas such as AI-driven wireless systems, 5G networks, cognitive radio, cybersecurity, IoT, smart grid technologies, software-defined systems, big data, and cloud computing. His scholarly influence is reflected in 920 citations from 762 documents, 40 published documents, and an h-index of 12. Prof. Esenogho has secured numerous competitive grants, awards, and research fellowships in recognition of his excellence, and he has contributed to global research advancement through participation in strategic committees, collaborative initiatives, and high-level innovation programs. He has supervised a wide portfolio of postgraduate researchers, contributed to editorial boards, reviewed international grant proposals, and chaired sessions at reputable conferences. Beyond research, he is committed to academic mentorship, capacity building, and advancing technology-driven development through community-focused initiatives. Prof. Ebenezer continues to play a leading role in shaping the future of intelligent systems, next-generation networks, and multidisciplinary innovation across regional and global research landscapes.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  • Esenogho, E., Mienye, I. D., Swart, T. G., Aruleba, K., & Obaido, G. (2022). A neural network ensemble with feature engineering for improved credit card fraud detection. IEEE Access, 10, 16400–16407.

  • Esenogho, E., Djouani, K., & Kurien, A. M. (2022). Integrating artificial intelligence, Internet of Things, and 5G for next-generation smart grid: A survey of trends, challenges, and prospects. IEEE Access, 10, 4794–4831.

  • Sarah, I. D. M., Ebiaredoh-Mienye, A., Esenogho, E., & Swart, T. G. (2022). A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease. Bioengineering, 9(8).

  • Nguyen, N., Duong, T., Chau, T., Nguyen, V. H., Trinh, T., Tran, D., Ho, T., … Esenogho, E. (2022). A proposed model for card fraud detection based on CatBoost and deep neural network. IEEE Access, 10, 96852–96861.

  • Arnaz, A., Lipman, J., Abolhasan, M., Hiltunen, M., … Esenogho, E. (2022). Toward integrating intelligence and programmability in open radio access networks: A comprehensive survey. IEEE Access, 10, 67747–67770.

  • Obaido, G., Ogbuokiri, B., Swart, T. G., Ayawei, N., Kasongo, S. M., Aruleba, K., … Esenogho, E. (2022). An interpretable machine learning approach for hepatitis B diagnosis. Applied Sciences, 12(21), 11127.

 

Dr. Junping Wang | Quantum Computing | Editorial Board Member

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Dr. Junping Wang | Quantum Computing | Editorial Board Member

Dr. Junping Wang | Liaoning University | China

Dr. Junping Wang is a Lecturer and Master’s Supervisor at the School of Physics, Liaoning University, where he has been contributing to academic and research advancement since 2018. He earned his Ph.D. from Shanghai Jiao Tong University, developing a strong foundation in computational atomic and molecular physics and the theoretical study of advanced two-dimensional materials—areas that define his current research focus. Dr. Wang has produced impactful scholarly work, with more than 20 publications in reputable international journals such as New Journal of Physics, Optics Express, Physical Review A, and Symmetry. His research influence is further demonstrated by 199 citations across 170 documents, 16 indexed papers, and an h-index of 7. He has also played an active role in competitive scientific funding, serving as principal investigator for the NSFC Young Scientist Fund and leading two additional provincial-level research projects. Dr. Wang’s work contributes to the fundamental understanding of atomic-scale interactions and the emergent properties of innovative two-dimensional materials, supporting progress in theoretical physics and next-generation material technologies. Through his academic leadership and ongoing research efforts, he continues to strengthen the scientific community and promote high-quality scholarly development within his field.

Profile: Scopus

Featured Publication

Wang, J. (2025). Holographic ferromagnetic phase transitions with three typical nonlinear electrodynamics in Gauss-Bonnet gravity. Physics Letters Section B Nuclear Elementary Particle and High Energy Physics.

Prof. Dr. Zongran Dong | Ocean Engineering | Editorial Board Member

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Prof. Dr. Zongran Dong | Ocean Engineering | Editorial Board Member

Prof. Dr. Zongran Dong | Dalian University of Foreign Languages | China

Prof.Dr. Zongran Dong is a dedicated computer science professional with established expertise in ship pipe routing design, multi-objective optimization, and software engineering. His career includes academic, research, and industry roles, contributing to a well-rounded technical background. He has served in both teaching and engineering capacities, applying theoretical insights to real-world industrial challenges. His work emphasizes advanced optimization techniques and intelligent design strategies for complex engineering systems, particularly in ship pipe routing, where he has led multiple specialized research projects and contributed to national, provincial, and industry-funded initiatives. He has produced a strong body of scholarly work, including more than 30 academic publications, with over 10 papers indexed in SCIE and EI journals and more than 15 published in recognized Chinese core journals. His research influence is reflected in 58 citations by 55 documents, 3 documents indexed under his profile, and an h-index of 2. In addition to his research contributions, he actively supervises graduate students, guiding emerging scholars in optimization and software-related research themes. He also serves as a reviewer for several international journals, including Expert Systems with Applications, Ocean Engineering, Journal of Ocean Engineering and Science, Journal of Computational Design and Engineering, IEEE Access, and the International Journal of Naval Architecture and Ocean Engineering, supporting the global research community through peer-review expertise.

Profiles: Scopus | Orcid

Featured Publications

Dong, Z., Li, K., Chen, H., & Sun, C. (2025). Optimal ship pipe route design: A MOA*-based software approach. Journal of Marine Science and Engineering.

Yang, S., Xing, J., Dong, Z., & Liu, Z. (2025). Heterogeneous ensemble sentiment classification model integrating multi-view features and dynamic weighting. Electronics.

Dong, Z.-r., & Luo, W.-w. (2024). Ship pipe route design based on NSGA-III and multi-population parallel evolution. Ocean Engineering, 116666.

Lin, Y., Bian, X.-y., & Dong, Z.-r. (2022). A discrete hybrid algorithm based on Differential Evolution and Cuckoo Search for optimizing the layout of ship pipe route. Ocean Engineering, 112164.

Dong, Z.-r., Bian, X.-y., & Zhao, S. (2022). Ship pipe route design using improved multi-objective ant colony optimization. Ocean Engineering, 111789.

Bian, X., Lin, Y., & Dong, Z. (2022). Auto-routing methods for complex ship pipe route design. Journal of Ship Production and Design.

Mr. Usman Muhammad Tukur | Green Technologies | Editorial Board Member

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Mr. Usman Muhammad Tukur | Green Technologies | Editorial Board Member

Mr. Usman Muhammad Tukur | Emirates College of Health Sciences and Technology | Nigeria

Mr. Usman Muhammad Tukur is a highly committed and research-driven professional currently advancing his expertise in the Physical Chemistry of Metallurgy, with a specialization in developing cathode materials for sodium-ion and lithium-ion energy-storage systems. With a strong academic foundation that includes a master’s degree in Physical Chemistry, postgraduate diplomas in Chemistry and Education, and a bachelor’s degree in Biochemistry, he brings multidisciplinary strength to his scientific work. His contributions span materials chemistry, corrosion science, environmental chemistry, and analytical evaluation, supported by multiple publications in reputable international journals. He has conducted impactful research on microbiologically influenced corrosion, comparative corrosion behaviour of mild steel in various water environments, phytoremediation of polluted soils, and physicochemical assessments of microbial interactions with metal surfaces, alongside analytical modelling for crude-oil product evaluation and review studies on organometallic applications, wastewater-treatment challenges, and nutritional impacts of food-processing practices. His scholarly influence is reflected in his research metrics, with Scopus indexing 3 documents, 6 citations, and an h-index of 1, while Google Scholar records 93 citations, an h-index of 5, and an i10-index of 3, highlighting his growing impact within the scientific community. Through continuous advancement and diverse research engagements, Mr. Usman Muhammad Tukur demonstrates strong analytical competence, scientific curiosity, and a dedication to advancing energy-storage materials, environmental sustainability, and practical research-based solutions.

Profiles: Scopus | Google Scholar

Featured Publications

  • Mudi, S. Y., Usman, M. T., & Ibrahim, S. (2015). Clinical and industrial application of organometallic compounds and complexes: A review. American Journal of Chemistry and Applications, 2(6), 151-158.

  • M., S. A., Usman, M. T., & Mukhtar, U. (2016). Parents socio-economic status and students academic performance in Nigeria educational system. International Journal of Education and Information Technology, 2(3), 14-18.

  • Usman, N. A., Tukur, U. M., & Usman, B. (2019). Comparative study on the corrosion behavior of mild steel in effluents, sea and fresh water. Bayero Journal of Pure and Applied Sciences, 12(1), 280-284.

  • Dolla, T. H., Mbokazi, S. P., Matthews, T., Mohamed, R., Sikeyi, L. L., Tukur, U. M., … (2025). Nano high-entropy materials for bifunctional oxygen electrocatalysis: Rational design, structure-activity relationships, and applications in rechargeable metal-air batteries. Energy Storage Materials, Article 104357.

  • Gumel, S. M., Usman, M. T., & Ado, A. (2015). Colouration industry wastewater treatments in Nigeria – hazard and treatment: A review. International Journal of Chemical and Biomolecular Science, 1, 27-33.

  • Usman, M. T., & Bishir, U. (2020). Microbiologically influenced corrosion of mild steel in some water environments. Algerian Journal of Materials Chemistry, 3(1), 1-10.