Prof. Dr. Galina Malykhina | Biomedical Engineering | Best Researcher Award

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Prof. Dr. Galina Malykhina | Biomedical Engineering | Best Researcher Award

Prof. Dr. Galina Malykhina | Peter the Great Saint Petersburg Polytechnic University | Russia

Prof. Dr. Galina Malykhina is a distinguished scientist and educator affiliated with the Peter the Great St. Petersburg Polytechnic University, serving at the Institute of Informatics and Cybersecurity, Graduate School of Computer Technology and Information Systems. She earned her foundational and advanced degrees from the St. Petersburg Polytechnic Institute, completing her PhD in Technical Cybernetics and later defending her DSc thesis in Information, Measurement, and Control Systems. Over her prolific career, Galina Malykhina has made significant contributions to the development of technical diagnostics systems, measurement technologies for two-phase and multiphase flows in the oil industry, and intelligent medical measurement systems utilizing artificial neural networks. Her expertise extends to advanced control mechanisms for thermal power plants and industrial automation processes. As an academic, she has delivered comprehensive lectures on Information Technology, Computer Networks, and Machine Vision, shaping generations of engineers and researchers. Her research output includes 38 documents with 89 citations from 73 documents and an h-index of 5. Her scholarly influence is reflected through numerous publications indexed in Google Scholar, DBLP, Semantic Scholar, and ORCID. Galina Malykhina’s research continues to bridge cybernetics, intelligent systems, and applied informatics, reinforcing her reputation as a leading figure in Russian and international computer science and control engineering.

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Featured Publications

Malykhina, G. F., & Guseva, A. I. (2017). Early fire prevention in the plant. Industrial Engineering, Applications and Manufacturing (ICIEAM).

Tarkhov, D. A., & Malykhina, G. F. (2019). Neural network modelling methods for creating digital twins of real objects. Journal of Physics: Conference Series, 1236(1), 012056.

Malykhina, G. F., & Tarkhov, D. A. (2018). Digital twin technology as a basis of the industry in future. European Proceedings of Social and Behavioural Sciences, 51.

Lazovskaya, T., Malykhina, G., & Tarkhov, D. (2021). Physics-based neural network methods for solving parameterized singular perturbation problem. Computation, 9(9), 97.

Dashkina, A., Khalyapina, L., Kobicheva, A., Lazovskaya, T., Malykhina, G., & others. (2020). Neural network modeling as a method for creating digital twins: From industry 4.0 to industry 4.1. Proceedings of the 2nd International Scientific Conference on Innovations in …

Vasilyev, A. N., Tarkhov, D. A., & Malykhina, G. F. (2018). Methods of creating digital twins based on neural network modeling. Sovremennye Informatsionnye Tekhnologii i IT-Obrazovanie, 14(3), 521–532.*

Dr. Anatoly Nikolaevich Makarov | Heat Transfer Analysis | Distinguished Scientist Award

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Dr. Anatoly Makarov | Heat Transfer Analysis | Distinguished Scientist Award

Dr. Anatoly Makarov | Tver State Technical University | Russia

Dr. Anatoly Nikolaevich Makarov is a Doctor of Engineering Sciences, Professor, and Honoured Worker of the Higher School of the Russian Federation. He has served as the Head of the Electric Power Supply and Electrical Engineering Department at Tver State Technical University since 1996. He is a leading specialist in power engineering and the author of a scientific discovery recognized with the P.L. Kapitsa Gold Medal “For Scientific Discovery.” His research output includes 65 documents, cited 59 times by 26 other works, with an h-index of 3. He has developed a pioneering theory of heat transfer in electric arc steelmaking furnaces and discovered the laws of thermal radiation from gas volumes of electric arcs and torches—achievements comparable to the classical laws of Stefan, Boltzmann, Wien, and Planck. Based on these discoveries, he formulated a multidisciplinary heat transfer calculation method applied to electric arc and torch furnaces, boiler fireboxes, and combustion chambers of gas turbine plants. His work, documented in monographs, textbooks, and numerous journal articles, is widely used in research and education, shaping advancements in power engineering, metallurgy, heat technology, and applied physics.

Profile: Scopus

Featured Publications

  • Makarov, A. N. (2025). Convective and conductive heat transfer in the bath under the arcs of high-power arc steel-melting furnaces: Part II. Distribution of isotherms over the surfaces of slag and metal in the EAF. Metallurgist.

  • Makarov, A. N. (2025). Heat transfer by convection and conduction in the bath beneath the arcs of high-power arc steel-melting furnaces: Part I. Laws of thermal radiation of gas volumes in arcs and flames and their use for calculating heat transfer in electric arc furnaces (EAF). Metallurgist.

  • Makarov, A. N. (2025). Calculation of thermal fluxes of arc radiation over the surface and depth of the bath of electric arc steelmaking furnaces. Conference Paper.

  • Makarov, A. N. (2024). Complex heat transfer in a bath under arcs of high-power arc steel-melting furnaces: Part III. Evaporation of metal under arcs and influence of the absorption coefficient of the furnace atmosphere on flow density. Metallurgist.

  • Makarov, A. N. (2024). Complex heat transfer in a bath under arcs of high-power arc steel-melting furnaces: Part II. Conversion of radiant arc flows into convection and heat conduction flows in the bath. Metallurgist.

  • Makarov, A. N. (2024). Complex heat transfer in a bath under arcs of high-power arc steel-melting furnaces: Part I. Laws of thermal radiation of gas volumes and their rationale for calculating heat transfer in EAFs. Metallurgist.

 

Dr. Sekhar Reddy Kola | Semiconductor Devices | Best Researcher Award

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Dr. Sekhar Reddy Kola | Semiconductor Devices | Best Researcher Award

Dr. Sekhar Reddy Kola | National Yang Ming Chiao Tung University | Taiwan

Dr. Sekhar Reddy Kola is a distinguished Postdoctoral Fellow at the National Yang Ming Chiao Tung University, Taiwan, with a Ph.D. in Electrical and Computer Engineering, specializing in semiconductor devices. His doctoral research, under the supervision of Professor Yiming Li, focused on the process variation effects and intrinsic parameter fluctuations of vertically stacked gate-all-around silicon nanosheet complementary field-effect transistors. His expertise spans advanced semiconductor device physics and modeling, including gate-all-around nanosheet and nanowire metal-oxide-semiconductor field-effect transistors, negative capacitance field-effect transistors, and complementary field-effect transistor circuit and static random-access memory designs. Dr. Kola’s work integrates statistical modeling, data analysis, and machine learning for performance optimization and variability analysis in nanoscale devices. With proficiency in technology computer-aided design, finite element method modeling, and quantum transport models, he has conducted extensive simulations related to process engineering, doping profiles, and stress effects. His research contributions also extend to radio frequency, reliability, and S-parameter analyses, highlighting his deep understanding of both theoretical and experimental semiconductor design. His research output includes 33 documents with 311 citations by 192 documents and an h-index of 10, reflecting the global recognition of his impactful scientific contributions. A recipient of the Best Paper Award at IEDMS in 2018 and the Outstanding Foreign Student Scholarship from 2017 to 2022, Dr. Kola exemplifies excellence in nanoelectronics and semiconductor innovation.

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Featured Publications

Sreenivasulu, V. B., Neelam, A. K., Kola, S. R., Singh, J., & Li, Y. (2023). Exploring the performance of 3-D nanosheet FET in inversion and junctionless modes: Device and circuit-level analysis and comparison. IEEE Access, 11, 90421–90429.

Yang, Y. S., Li, Y., & Kola, S. R. R. (2023). A physical-based artificial neural networks compact modeling framework for emerging FETs. IEEE Transactions on Electron Devices, 71(1), 223–230.

Butola, R., Li, Y., & Kola, S. R. (2022). A machine learning approach to modeling intrinsic parameter fluctuation of gate-all-around Si nanosheet MOSFETs. IEEE Access, 10, 71356–71369.

Kola, S. R., & Thoti, N. (2020). Characteristics of gate-all-around silicon nanowire and nanosheet MOSFETs with various spacers. 2020 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD), 26.

Kola, S. R., Li, Y., & Thoti, N. (2020). Effects of spacer and single-charge trap on voltage transfer characteristics of gate-all-around silicon nanowire CMOS devices and circuits. 2020 IEEE 20th International Conference on Nanotechnology (IEEE-NANO), 217–220.

Yu, X. R., Chuang, M. H., Chang, S. W., Chang, W. H., Hong, T. C., Chiang, C. H., … Kola, S. R. (2022). Integration design and process of 3-D heterogeneous 6T SRAM with double layer transferred Ge/2Si CFET and IGZO pass gates for 42% reduced cell size. 2022 International Electron Devices Meeting (IEDM), 20.5.1–20.5.4.

Dr. Zahra Beheshti | AI in Engineering | Best Researcher Award

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Dr. Zahra Beheshti | AI in Engineering | Best Researcher Award

Dr. Zahra Beheshti | Islamic Azad University | Iran

Dr. Zahra Beheshti is an Assistant Professor at the Islamic Azad University, Najafabad Branch, with a distinguished background in computer engineering and artificial intelligence. She holds a B.Sc. and M.Sc. in Computer Engineering (Software) and a Ph.D. in Computer Science with a focus on Artificial Intelligence, followed by postdoctoral research in Soft Computing. Dr. Beheshti has made significant contributions to the field, including the compilation of the book Centripetal Accelerated Particle Swarm Optimization and Applications. Her academic excellence has been recognized through scholarships awarded to top international Ph.D. students. She is actively involved in knowledge dissemination, having conducted multiple workshops on advanced topics such as Machine Learning, Fuzzy Expert Systems and their application in algorithm parameter determination, and Introduction to Fuzzy Logic along with the Design and Implementation of Fuzzy Expert Systems. Her research output includes 34 documents, cited 1,865 times by 1,698 publications, with an h-index of 20, reflecting the significant impact of her work. Through her teaching, research, and publications, Dr. Beheshti demonstrates a strong commitment to advancing computational intelligence, fostering innovation, and mentoring the next generation of researchers in AI and soft computing, combining both academic rigor and practical application.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Z Beheshti, SMH Shamsuddin, A review of population-based meta-heuristic algorithms, Int. J. Adv. Soft Comput. Appl 5 (1), 1-35, 744 citations, 2013

  • H Abedinpourshotorban, SM Shamsuddin, Z Beheshti, DNA Jawawi, Electromagnetic field optimization: a physics-inspired metaheuristic optimization algorithm, Swarm and Evolutionary Computation 26, 8-22, 414 citations, 2016

  • M Jafarzadegan, F Safi-esfahani, Z Beheshti, Combining Hierarchical Clustering approaches using the PCA Method, Expert Systems with Applications 137, 1-10, 156 citations, 2019

  • Z Beheshti, SM Shamsuddin, S Hasan, Memetic binary particle swarm optimization for discrete optimization problems, Information Sciences 299, 58-84, 129 citations, 2015

  • Z Beheshti, SMH Shamsuddin, CAPSO: centripetal accelerated particle swarm optimization, Information Sciences 258, 54-79, 120 citations, 2014

  • M Banaie-Dezfouli, MH Nadimi-Shahraki, Z Beheshti, R-GWO: Representative-based grey wolf optimizer for solving engineering problems, Applied Soft Computing 106, 1-28, 108 citations, 2021

 

 

Dr. Bin Zhang | Structural Engineering | Best Researcher Award

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Dr. Bin Zhang | Structural Engineering | Best Researcher Award

Dr. Bin Zhang | Chongqing University of Science and Technology | China

Dr. Bin Zhang holds a Doctorate in Engineering and has completed postdoctoral research. He is a lecturer and master’s supervisor in the Department of Road and Bridge Engineering, School of Civil and Hydraulic Engineering, and a youth committee member of the World Transport Convention. His research focuses on the dynamic characteristics of underground and tunnel structures, the development of new materials and technologies for structural reinforcement, and intelligent monitoring of structural health. His research output includes 26 documents, 171 citations, 146 citing documents, and an h-index of 8. He teaches both undergraduate and postgraduate courses, including Tunnel Engineering, Engineering Surveying, Tunnel Mechanics, and Frontier Technologies in Civil Engineering, integrating theoretical knowledge with practical applications to advance innovation in civil and tunnel engineering. Additionally, he has developed advanced experimental methods for studying tunnel lining mechanics, contributing to safer and more efficient tunnel design practices.

Profile: Scopus | Orcid

Featured Publications

  • Study on the Stability of Buildings During Excavation in Urban Core Areas, Applied Sciences, 2025. Contributors: Kang Liu, Huafeng Liu, Yuntai Gao, Zijian Wang, Yunchuan Wang, Qi Liu, Chaolin Jia, Zihang Huang, Bin Zhang.

  • Experimental Study on Mechanical Differences Between Prefabricated and Cast-In Situ Tunnel Linings Based on a Load-Structure Model, Buildings, 2025. Contributors: Li-Ming Wu, Hong-Kun Li, Feng Gao, Zi-Jian Wang, Bin Zhang, Wen-Jie Luo, Jun-Jie Li.

  • Mechanical Properties of Steel Fiber-Reinforced Concrete Tunnel Secondary Lining Structure and Optimization of Support Parameters, Buildings, 2025. Contributors: Zijian Wang, Yunchuan Wang, Xiaorong Wang, Baosheng Rong, Bin Zhang, Liming Wu, Chaolin Jia, Zihang Huang.

  • Crystallization Blockage in Highway Tunnel Drainage System Based on Molecular Dynamics, AIP Advances, 2025. Contributors: Shiyang Liu, Xuefu Zhang, Bin Zhang.

  • Experimental Study on Grouting Diffusion Law of Tunnel Secondary Lining Cracks Based on Different Slurry Viscosities, Applied Sciences, 2025. Contributors: Bin Zhang, Peng Liu, Yi Wu, Liming Wu, Chen Li, Shiyang Liu, Yuanfu Zhou.

  • Experimental Study on Grouting Diffusion Law of the Different Crack Widths in Tunnel Lining, KSCE Journal of Civil Engineering, 2023. Contributors: Bin Zhang, Yuanfu Zhou, Xuefu Zhang, Zijian Wang, Wei Yang, Yixuan Ban.

  • Anti Crystallization Blocking of Flocking Drainage Pipe Based on Natural Phenomenon, Materials Science, 2022. Contributors: Xuefu Zhang, Shiyang Liu, Feng Gao, Yuanfu Zhou, Bin Zhang.

Dr. Priya Tyagi | Sustainable Engineering | Best Researcher Award

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Dr. Priya Tyagi | Sustainable Engineering | Best Researcher Award

Dr. Priya Tyagi | Sharda University | India

Dr. Priya Tyagi is a dedicated sustainable architect with extensive academic and professional expertise in sustainable design and rural housing development. She earned her Doctor of Philosophy from Malaviya National Institute of Technology, Jaipur, focusing on a decision-making framework for design quality assessment of rural houses in India, following her Master of Architecture in Sustainable Architecture from Deenbandhu Chhotu Ram University of Science and Technology, Murthal, and Bachelor of Architecture from Shri Ram Group of Colleges, Lucknow. She has actively contributed to research and practice in architecture, including a joint research project on municipal waste management at Massachusetts Institute of Technology, Boston, and holds professional credentials as a Green Rating for Integrated Habitat Assessment certified professional. Currently, she serves as Assistant Professor at Sharda School of Design, Architecture and Planning, Greater Noida, having previously held academic positions at Sanskar College of Architecture and Planning and practical experience with Shelter Architects and M/s Raj Architects and Builders. Dr. Tyagi has been recognized for her expertise through appointments as a reviewer for Scopus-indexed journals, including the Journal of Infrastructure, Policy and Development, and the Journal of Civil, Construction and Environmental Engineering. Her research output includes 9 documents with 6 citations and an h-index of 2, reflecting her growing impact in sustainable architecture, design quality assessment, and environmentally responsible building practices in India.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Tyagi, P., Shrivastava, B., & Kumar, N. (2024). Investigating rural housing quality indicators in the Indian scenario for inclusive imageability. Environment, Development and Sustainability, 26(10), 25609-25643.

Tyagi, P., Shrivastava, B., & Kumar, N. (2023). Towards creating inclusive villages: The types of rural settlements in India. ISVS e-Journal, 10(2), 91-106.

Bhyan, P., Tyagi, P., Doddamani, S., Kumar, N., & Shrivastava, B. (2023). Life cycle assessment of lightweight and sustainable materials. Lightweight and Sustainable Composite Materials, 117-142.

Tyagi, P., Shrivastava, B., & Kumar, N. (2024). A comprehensive investigation of rural and low-rise housing design quality: A thematic and bibliometric analysis. Journal of Housing and the Built Environment, 39(3), 1323-1353.

Tyagi, P., Shrivastava, B., & Kumar, N. (2025). Optimizing rural housing design quality: Indicators and parameters for comprehensive assessment. Environment, Development and Sustainability, 1-43.

Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

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Mr. Mohammad Alibabaei Shahraki | Structural Engineering | Best Researcher Award

Mr. Mohammad Alibabaei Shahraki | Technical and Vocational University | Iran

Mr. Mohammad Alibabaei Shahraki is a distinguished lecturer and researcher at the Technical and Vocational University in Tehran, Iran, specializing in civil engineering with a focus on earthquake engineering, structural dynamics, and structural design. Recognized for his exceptional academic achievements, he was the top student for 12 consecutive semesters and secured a single-digit rank in the national university entrance examination. His research excellence has been acknowledged with the title of Best Researcher in Chaharmahal and Bakhtiari Province, alongside the invention of two notable research innovations. Prof. Shahraki has made significant contributions to the field of structural control and seismic performance enhancement, including pioneering studies on multiple tuned mass dampers, elastoplastic-tuned mass damper-inerters, and the effectiveness of viscous dampers in steel frame structures, with his work published in prominent journals such as Soil Dynamics and Earthquake Engineering and Structures, and presented at international conferences on civil engineering, architecture, and urban planning. With a perfect GPA of 4.00 from Shahrekord University for his Master’s in Civil Engineering, he combines academic rigor with practical expertise, delivering high-quality teaching and research. His scholarly impact includes 60 citations across 44 documents, 4 published works, and an h-index of 2, reflecting his growing influence in earthquake-resistant structural design. Fluent in English, Prof. Shahraki actively engages with global research communities and maintains an ORCID profile to showcase his contributions.

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Featured Publications

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Damage-based design of multiple tuned mass dampers to improve the seismic performance of steel frame structures. Soil Dynamics and Earthquake Engineering, 173, 108062.

Shahraki, M. A., Kamgar, R., & Heidarzadeh, H. (2023). Assessing the seismic behavior of structures controlled with a novel elastoplastic-tuned mass damper inerter considering the effects of soil-structure interactions. Structures, 57, 105265.

Shahraki, M. A., & Chaleshtori, H. S. A. (2025). Comparative analysis of novel non-linear tuned mass damper inerter and traditional tuned mass dampers in steel shear frame structures. International Journal of Structural Stability and Dynamics.

Shahraki, M. A. (2025). Response mitigations of adjacent structure with MPTMD under real and stochastic excitations. Discover Geoscience, 3(47), 1-20.

Alibabaei Shahraki, M. (2025). Cloud drift optimization algorithm as a nature-inspired metaheuristic. Discover Computing, 28(1), 1-28.

 

Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

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Mr. Ahmad Usman | Sustainable Engineering | Best Researcher Award

Mr. Ahmad Usman | Cranfield University | United Kingdom

Mr. Ahmad Usman is a dedicated PhD student at Cranfield University specializing in coating and corrosion science, with a strong focus on developing advanced materials to protect critical components in power plants under demanding conditions. His research encompasses the fireside-corrosion behavior of thermally sprayed and Ni-based coatings in challenging environments, including chlorine-rich combustion atmospheres, and investigates oxidation, erosion, and wear mechanisms at the microscopic level. Mr. Usman has contributed to advancing knowledge on thermal spray coatings through both academic and industry projects, including his role as Group Innovation Engineer at Welding Alloys Group, UK, and collaborations with the National High Temperature Surface Engineering Centre. He has co-authored book chapters on self-healing elastomers and polymeric paints and coatings, highlighting his expertise in functional polymers. His research interests include real-time monitoring of coating degradation, modeling corrosion kinetics in waste-to-energy (WtE) environments, and optimizing thermal spray coatings to resist high-temperature corrosion, erosion, and wear damage. With a growing citation record and an h-index of 2, Mr. Usman is an active member of the Institute of Corrosion and the Pakistan Engineering Council, demonstrating his commitment to both academic excellence and industrial innovation, while consistently exploring innovative solutions to extend the lifespan and reliability of critical energy infrastructure.

Profile: Orcid

Featured Publications

Usman, A., Syed, A., Isern Arrom, L., Nicholls, J., & Cordero, M. (2024, September 5). Degradation of novel coating systems for heat exchanger materials for WtE power plant applications [Conference poster]. EUROCORR 2024, Cranfield University.

Rehan, Z. A., & Usman, A. (2023). Polymeric paints and coatings. In Advanced Functional Polymers. Springer.

Zubair, Z., Usman, A., & Hafeez, A. (2023). Self-healing elastomers. In Advanced Functional Polymers. Springer.

Usman, A. (2021, December 8). Fabrication of low emissivity paint thermal/NIR radiation insulation for domestic applications [Conference poster]. 1st International Conference of Polymers and Composites (ICPC-2021).

Usman, A., Isern Arrom, L., Nicholls, J., Cordero, M., & Syed, A. U. (2025). Fireside corrosion behavior of thermally sprayed coatings for waste-to-energy power plant applications. Journal of Materials Engineering and Performance.

Dr. Mulugundam Siva Surya | Advanced Composites | Best Researcher Award

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Dr. Mulugundam Siva Surya | Advanced Composites | Best Researcher Award

Dr. Mulugundam Siva Surya | GITAM University | India

Dr. Mulugundam Siva Surya is an accomplished academic and researcher currently serving as an Assistant Professor at GITAM University, Hyderabad, with a strong commitment to teaching and advancing research in mechanical and manufacturing engineering. He earned his PhD from JNTU Anantapur in 2022, following an M.Tech in Manufacturing Engineering from the National Institute of Technology, Warangal, and a B.Tech in Mechanical Engineering from KSRM College of Engineering, Kadapa. Dr. Mulugundam began his academic career as a Lecturer in the Mechanical Engineering Department at Rajiv Gandhi University, Hyderabad, from 2010 to 2013, and has since been dedicated to mentoring students and contributing to innovative research. With 557 citations from 421 documents, 33 publications, and an h-index of 16, his work reflects a strong impact in mechanical and materials engineering. [Scopus ID: 57194031396; ORCID: 0000-0003-2960-7298]. His research expertise includes composite materials, functionally graded materials, and thermal protection systems. He holds an Indian patent (No. 468849) for developing a novel method to fabricate layered Al7075/SiC functionally graded materials using powder metallurgy. He has also served as Co-Principal Investigator for two DRDO-funded projects under the CARS scheme, focusing on experimental and finite element design optimization of epoxy-based composites and AI-driven multi-scale simulations of ablative thermal protection systems for missile nose cones.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Mulugundam, M. S., & Gugulothu, S. K. (2023). Fabrication, mechanical and wear characterization of silicon carbide reinforced aluminium 7075 metal matrix composite. Silicon, 14(5), 2023–2032.

Nutakki, P. K., Gugulothu, S. K., Ramachander, J., & Sivasurya, M. (2022). Effect of n-amyl alcohol/biodiesel blended nano additives on the performance, combustion and emission characteristics of CRDi diesel engine. Environmental Science and Pollution Research, 29(1), 82–97.

Ramachander, J., Gugulothu, S. K., Sastry, G. R. K., Panda, J. K., & Surya, M. S. (2021). Performance and emission predictions of a CRDI engine powered with diesel fuel: A combined study of injection parameters variation and Box-Behnken response surface methodology. Fuel, 290, 120069.

Surya, M. S., Prasanthi, G., & Gugulothu, S. K. (2021). Investigation of mechanical and wear behaviour of Al7075/SiC composites using response surface methodology. Silicon, 13(7), 2369–2379.

Surya, M. S., & Prasanthi, G. (2022). Effect of SiC weight percentage on tribological characteristics of Al7075/SiC composites. Silicon, 14(3), 1083–1092.

Mulugundam, T. V. N. Siva Surya. (2019). Synthesis and mechanical behaviour of (Al/SiC) functionally graded material using powder metallurgy technique. Materials Today: Proceedings, 18(7), 3501–3506.

Mr. Victor Omeke | Wireless Sensor Networks | Best Researcher Award

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Mr. Victor Omeke | Wireless Sensor Networks | Best Researcher Award

Mr. Victor Omeke | Nigerian defence academy | Nigeria

Mr Victor Omeke is a dedicated graduate student and researcher at the Nigeria Defence Academy, specializing in Electrical and Electronic Engineering with a strong focus on telecommunications, information and communication technology, and applied artificial intelligence. He holds a Bachelor of Engineering and a Master of Engineering in Electrical and Electronic Engineering (Telecommunications) and is currently pursuing further postgraduate research. Mr Victor Omeke has developed strong expertise in MATLAB-based simulations, wireless sensor networks, and energy-efficient communication systems, with a research record that demonstrates both academic rigor and practical impact. His notable contributions include the design of an energy-efficient wireless sensor network using Simulink, which achieved energy savings of thirteen point four percent and extended battery life by fifteen point four nine percent, providing sustainable solutions for smart cities and precision agriculture. Furthermore, Mr Victor Omeke co-developed an artificial intelligence-driven Global System for Mobile Communication Alerting System that achieved an accuracy rate of eighty-six point zero eight percent in fraud detection, offering significant improvements in financial cybersecurity and anti-money laundering applications. With two published journal papers, multiple completed and ongoing research projects, and professional recognition as an Associate of the International Institute of Safety Management, Mr Victor Omeke demonstrates innovation, sustainability, and problem-solving capacity, positioning him as a promising researcher with strong potential for impactful global contributions.

Profile: Orcid

Featured Publications

Adunola, F. O., Omeke, V. N., Ahmad, A. A., Bunu, A. R., Nkohon, A. J., & Obiajulu, E. (2025, July 31). Energy-efficient wireless sensor network for real-time environmental monitoring: Simulink-based design. Discover Electronics, 2948-1600.

Ndueso, J., Nkohon, A., Mommoh, J., Dakwat, A., Bulama, H., & Omeke, V. N. (2025, May). Development of an artificial intelligence GSM alerting system for mitigating money laundry.