Muhammet Karabulut | Civil Engineering | Best Research Article Award

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Assoc. Prof. Dr. Muhammet Karabulut | Civil Engineering | Best Research Article Award

Zonguldak Bulent Ecevit University | Turkey

Assoc. Prof. Dr. Muhammet Karabulut is a distinguished researcher in structural and earthquake engineering, with strong expertise in the seismic behavior of concrete and composite structures, dam safety, and the application of machine learning in structural analysis. His innovative studies bridge experimental and computational approaches, enhancing the understanding of reinforced concrete, fiber-reinforced polymers, and composite materials under static, dynamic, and environmental stresses. Dr. Karabulut has contributed significantly to the assessment and strengthening of roller-compacted concrete (RCC) and arch dams, the dynamic stability of large-scale structures, and the performance optimization of reinforced concrete systems using advanced analytical tools such as ANSYS, SAP2000, and MATLAB. His recent works extend into intelligent predictive modeling for material behavior and sustainability in civil engineering applications. With a growing research impact, Dr. Karabulut has earned 103 citations (Google Scholar), an h-index of 6, and an i10-index of 4, while Scopus records 61 citations across 48 documents, underscoring his academic influence and global research engagement. His publications in high-impact international journals, including Polymers, Buildings, Sustainability, and Mechanics of Advanced Materials and Structures, reflect his multidisciplinary approach and contribution to engineering innovation. Recognized for his scientific excellence, Dr. Karabulut stands out as a nominee for the Best Research Article Award, exemplifying rigorous scholarship, technological advancement, and dedication to improving structural safety and performance through cutting-edge research.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

Karabulut, M. (2025). Nonlinear load-deflection analysis of steel rebar-reinforced concrete beams: Experimental, theoretical and machine learning analysis. Buildings, 15(3), 432

Karabulut, M. (2025). Machine learning-driven flexural performance prediction and experimental investigation of glass fiber-reinforced polymer bar-reinforced concrete beams. Polymers, 17(6), 713.

Mani, M., Murugaiyan, T., Shanmugam, V., & Karabulut, M. (2024). Mechanical and quasi-static puncture behavior of hybrid glass/Kevlar/carbon fiber laminate composites with graphene nanoparticles. Mechanics of Advanced Materials and Structures, 31(30), 13110–13120.

Morales-Esteban, A., Alpañés, J. L. J., Castillo, P., & Karabulut, M. (2024). Dynamic analysis of the Almagrera tailings dam with dry closure condition. Sustainability, 16(4), 1607.

Karabulut, M., & Kartal, M. E. (2020). Seismic analysis of roller compacted concrete dams considering effect of viscous boundary conditions. Computers and Concrete, 25(3), 255–266.

Rajesh Kumar Soothar | Biological Sciences | Best Researcher Award

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Dr. Rajesh Kumar Soothar | Biological Sciences | Best Researcher Award

Sindh Agriculture Uiversity | Pakistan

Engr. Dr. Rajesh Kumar Soothar is an accomplished researcher and Assistant Professor in the Department of Irrigation and Drainage, Faculty of Agricultural Engineering, Sindh Agriculture University, Tandojam, Pakistan. His research focuses on the sustainable management of soil and water resources, irrigation efficiency, and crop water productivity under varying climatic and salinity conditions. He has significantly contributed to developing innovative irrigation strategies, alternate water use systems, and drought mitigation techniques to enhance agricultural sustainability and food security in arid and semi-arid regions. Dr. Soothar’s scientific work integrates experimental research, modeling, and field-based approaches to improve water use efficiency and optimize crop performance under stress conditions such as drought and salinity. His studies have been widely recognized, with over 430 citations on Google Scholar (h-index: 12; i10-index: 16) and additional indexing on Scopus, reflecting his scholarly influence in agricultural water management and environmental sciences. His collaborative publications with international scholars have contributed to advancing understanding in areas such as saline water irrigation, drought priming, and soil-plant-water interactions. He is known for his excellence in teaching, mentorship, and leadership in research projects, promoting innovation and sustainable engineering solutions in agriculture. His impactful research and academic dedication position him as a strong candidate for the Best Researcher Award in the field of Agricultural Water Resources and Irrigation Engineering.

Publication Profile

Google Scholar

Featured Publications

Tankari, M., Wang, C., Ma, H., Li, X., Li, L., Soothar, R. K., Zaman-Allah, M., & Cui, N. (2021). Drought priming improved water status, photosynthesis and water productivity of cowpea during post-anthesis drought stress. Agricultural Water Management, 245, 106565.

Soothar, R. K., Zhang, W., Liu, B., Tankari, M., Wang, C., Li, L., Xing, H., & Gong, D. (2019). Sustaining yield of winter wheat under alternate irrigation using saline water at different growth stages: A case study in the North China Plain. Sustainability, 11(17), 4564.

Soothar, R. K., Zhang, W., Zhang, Y., Tankari, M., Mirjat, U., & Wang, Y. (2019). Evaluating the performance of SALTMED model under alternate irrigation using saline and fresh water strategies to winter wheat in the North China Plain. Environmental Science and Pollution Research, 26(33), 34499–34509.

Singha, A., Soothar, R. K., Wang, C., Marín, E. E. T., Tankari, M., Hao, W., & Wang, Y. (2022). Drought priming alleviated salinity stress and improved water use efficiency of wheat plants. Plant Growth Regulation, 1–12.

Chachar, A. N., Mirjat, M. U., Soothar, R. K., Shaikh, I. A., Mirjat, M. H., & Dahri, S. A. (2020). Effects of irrigation frequencies on soil salinity and crop water productivity of fodder maize. Acta Ecologica Sinica, 40(4), 277–282.

Sebiha Demir | Health Sciences | Best Researcher Award

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Ms. Sebiha Demir | Health Sciences | Best Researcher Award

University Hospital Bonn | Germany

Ms. Sebiha Demir is a dedicated medical researcher specializing in neonatology, neonatal neuroprotection, and perinatal brain injury. Her research focuses on improving clinical outcomes for asphyxiated newborns through evidence-based innovations in therapeutic hypothermia and neurophysiological monitoring. She integrates advanced diagnostic tools such as amplitude-integrated electroencephalography (aEEG) and biochemical profiling to identify early predictors of hypoxic-ischemic encephalopathy (HIE), advancing precision medicine in neonatal intensive care. Her notable publication, “Abnormal Amplitude‐Integrated Electroencephalography and Acidosis as Key Criteria Initiating Therapeutic Hypothermia in Asphyxiated Newborns – Data From the German Hypothermia Registry” (Acta Paediatrica, 2025), demonstrates her significant contribution to establishing objective criteria for initiating life-saving interventions in high-risk neonates. Through collaborative research with multidisciplinary teams across Europe, Dr. Demir has enriched neonatal care protocols and contributed to shaping guidelines for early neurological assessment and treatment strategies. Her internationally recognized publications reflect a strong academic impact and translational value in pediatric and clinical neuroscience. With over 380 citations, an h-index of 10 on Scopus, and 12 on Google Scholar, her scholarly influence and commitment to impactful research are evident. As a forward-thinking clinician–scientist, she continues to advance neonatal research by integrating data-driven insights with compassionate care. Dr. Demir’s excellence, innovation, and dedication to improving neonatal health outcomes position her as a leading figure in her field and a deserving recipient of the Best Researcher Award, honoring her outstanding contributions to advancing neonatal medicine and inspiring future generations of medical scientists.

Publication Profile

Orcid

Featured Publications

Demir, S., Groteklaes, A., Dresbach, T., Müller, A., & Sabir, H. (2025, October 29). Abnormal amplitude-integrated electroencephalography and acidosis as key criteria initiating therapeutic hypothermia in asphyxiated newborns – Data from the German Hypothermia Registry. Acta Paediatrica.

Mingyue Zhang | Artificial Intelligence | Best Researcher Award

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Dr. Mingyue Zhang | Artificial Intelligence | Best Researcher Award

University of South China | China

Dr. Mingyue Zhang, Ph.D., is a dynamic researcher in computer vision, intelligent systems, and human–computer interaction, currently serving in the field of computer science with a focus on gesture recognition and lightweight deep learning models for edge devices. His research integrates advanced computer vision algorithms with human–machine collaboration, emphasizing intelligent gesture recognition for rehabilitation training, embedded AI, and Internet of Things (IoT)-enabled systems. Dr. Zhang has significantly contributed to developing efficient algorithms such as lightweight convolutional neural networks, adaptive Kalman filtering, and multi-sensor fusion frameworks, which enhance real-time performance in gesture estimation, object tracking, and assistive technologies. His innovative work bridges the gap between deep learning theory and practical deployment on embedded systems and mobile platforms. With over 25 publications in high-impact journals indexed in SCI and EI, including IEEE Internet of Things Journal, Expert Systems with Applications, IEEE Access, and Journal of Supercomputing, his research has achieved growing academic recognition. Dr. Zhang’s work has been widely cited across the global impact of his contributions in computer vision and artificial intelligence. His research is currently supported by the Hunan Provincial Department of Science and Technology, focusing on intelligent gesture recognition in rehabilitation. In recognition of his outstanding contributions to scientific innovation and scholarly excellence, Dr. Zhang is honored with the Best Researcher Award for his pioneering advancements in AI-driven human–computer interaction and lightweight network modeling.

Publication Profile

Orcid

Featured Publications

  • Jiang, C., Zhang, M., Wang, Y., & Zhang, A. (2025). AHMOT: Adaptive Kalman Filtering and Hierarchical Data Association for 3D Multi-Object Tracking in IoT-Enabled Autonomous Vehicles. IEEE Internet of Things Journal.

  • Zhang, M., Zhou, Z., Tao, X., & Deng, M. (2023). Hand pose estimation based on fish skeleton CNN: Application in gesture recognition. Journal of Intelligent & Fuzzy Systems, 44, 8029–8042.

  • Zhang, M., Zhou, Z., Wang, T., & Zhou, W. (2023). A lightweight network deployed on ARM devices for hand gesture recognition. IEEE Access, 11, 45493–45503.

  • Zhang, M., Zhou, Z., & Deng, M. (2022). Cascaded hierarchical CNN for 2D hand pose estimation from a single color image. Multimedia Tools and Applications, 81, 25745–25763.

  • Zhang, M., & Zhou, Z. (2025). Speed-accuracy trade-off in lightweight-based hand pose estimation. The Journal of Supercomputing, 81, 1212

Milad Shirvaliloo | Cancer Epigenetics | Best Researcher Award

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Dr. Milad Shirvaliloo | Cancer Epigenetics | Best Researcher Award

Iran University of Medical Sciences | Iran

Dr. Milad Shirvaliloo is a physician-scientist and accomplished biomedical researcher recognized for his extensive contributions to the fields of epigenetics, nanomedicine, and cancer biology. His scholarly work bridges molecular medicine and translational research, focusing primarily on histone modifications, non-coding RNAs, and nanoparticle-based therapeutic interventions in cancer and pulmonary diseases. With a robust publication record of more than 40 peer-reviewed scientific articles and a book chapter, Dr. Shirvaliloo’s research has gained wide recognition in the global academic community. His studies have illuminated novel mechanisms of epigenetic regulation, particularly in the context of lung disease, viral infection, and tumor angiogenesis, advancing understanding in both basic and clinical medicine. On Google Scholar, he has achieved 1,074 citations (1,071 since 2020) with an h-index of 19 and an i10-index of 30, while Scopus indexes 819 citations across 717 documents with an h-index of 16, demonstrating his strong and consistent research influence. As an editorial board member of high-impact journals such as Epigenomics and Molecular and Cellular Biochemistry, and as a reviewer for over 60 Web of Science–indexed journals, he has played a significant role in advancing scientific communication and maintaining research integrity. Dr. Shirvaliloo’s dedication to innovative biomedical inquiry and his outstanding contributions to the field have earned him recognition for the Best Researcher Award, honoring his commitment to excellence, scientific leadership, and impactful discovery in medical research.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Heris, R. M., Shirvaliloo, M., Abbaspour-Aghdam, S., Hazrati, A., Shariati, A., Youshanlouei, H. R., et al. (2022). The potential use of mesenchymal stem cells and their exosomes in Parkinson’s disease treatment. Stem Cell Research & Therapy, 13(1), 371.

  • Sheervalilou, R., Shirvaliloo, M., Dadashzadeh, N., Shirvalilou, S., Shahraki, O., Pilehvar-Soltanahmadi, Y., et al. (2020). COVID-19 under spotlight: A close look at the origin, transmission, diagnosis, and treatment of the 2019-nCoV disease. Journal of Cellular Physiology, 235(12), 8873–8924.

  • Aghbash, P. S., Eslami, N., Shirvaliloo, M., & Baghi, H. B. (2021). Viral coinfections in COVID-19. Journal of Medical Virology, 93(9), 5310–5322.

  • Shirvalilou, S., Khoei, S., Esfahani, A. J., Kamali, M., & Shirvaliloo, M. (2021). Magnetic hyperthermia as an adjuvant cancer therapy in combination with radiotherapy versus radiotherapy alone for recurrent/progressive glioblastoma: A systematic review. Journal of Neuro-Oncology, 152(3), 419–428.

  • Razlansari, M., Jafarinejad, S., Rahdar, A., Shirvaliloo, M., Arshad, R., Fathi-Karkan, S., et al. (2023). Development and classification of RNA aptamers for therapeutic purposes: An updated review with emphasis on cancer. Molecular and Cellular Biochemistry, 478(7), 1573–1598.

hao song | Multimodal Network | Best Researcher Award

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Dr. hao song | Multimodal Network | Best Researcher Award

Shijiazhuang Tiedao University | China

Dr. Hao Song is an emerging researcher in the field of logistics engineering, transportation systems, and management science, with a particular emphasis on sustainable and data-driven logistics development in China. His research integrates advanced quantitative methodologies such as DEA-BCC/Bootstrap, Malmquist index, entropy-TOPSIS, and econometric regression to evaluate logistics efficiency, railway transportation performance, and multimodal network resilience. Through his interdisciplinary approach, he bridges logistics theory and practice, contributing significantly to improving transportation governance, public-private partnership (PPP) operations, and urban rail systems. His recent studies have explored the impact of railway development on high-quality logistics growth, as well as decision-making mechanisms within livestreaming e-commerce supply chains using evolutionary game theory. Dr. Song’s scholarly works have been published in renowned international journals indexed in SCI and Scopus, such as Transportation Journal, IEEE Access, and Promet–Traffic & Transportation. His contributions extend beyond academia, involving collaborations with leading industrial and governmental bodies like China Railway Construction Corporation (CRCC) and Sino-Consulting, reflecting a strong linkage between academic insights and real-world logistics innovation. Dr. Song’s Google Scholar record shows over 65 citations, an h-index of 5, and a Scopus citation count of 40, demonstrating his growing influence in logistics and systems engineering research. His work continues to push the boundaries of sustainable logistics efficiency, advanced modeling, and network optimization for China’s evolving transportation infrastructure. In recognition of his outstanding research contributions, academic excellence, and impactful publications, Dr. Hao Song stands as a deserving candidate for the Best Researcher Award, celebrating his dedication to advancing innovation and excellence in the field of logistics and transportation science.

Publication Profile

Orcid

Featured Publications

Song, H., & Zhu, T.-X. (2026). The impact of railway development on high-quality development of China’s logistics industry: An analysis based on the entropy-TOPSIS method and econometric regression. Transportation Journal.

Song, H., Zhu, T., & Wu, J. (2025). The decision-making mechanisms of the livestreaming e-commerce supply chain based on a three-party evolutionary game. IEEE Access.

Arash NourbakhshSadabad | Solar Energy | Best Researcher Award

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Dr. Arash NourbakhshSadabad | Solar Energy | Best Researcher Award

university of tabriz | Iran

Dr. Arash Nourbakhsh Sadabad is an accomplished researcher and academic in the field of Mechanical Engineering, with a specialization in Energy Conversion, Fluid Mechanics, and Thermodynamics. His research primarily focuses on sustainable energy systems, hydrogen production and liquefaction processes, renewable energy integration, and advanced thermal system optimization. As a prolific author and innovator, Dr. Nourbakhsh Sadabad has contributed significantly to advancing green technologies and energy efficiency through numerical modeling, simulation, and exergy-based optimization approaches. He has published extensively in reputed international journals and conferences, demonstrating a strong commitment to scientific excellence and technological advancement. His recent works include studies on biodiesel production from industrial sludge, hydrogen liquefaction integrated with PRICO cycles, and solar-assisted clean energy generation systems. With a citation count of 19 on Google Scholar (h-index: 2, i10-index: 1) and 6 citations indexed in Scopus, his contributions reflect growing global recognition and academic influence. In addition to his research output, Dr. Nourbakhsh Sadabad has been honored with numerous academic distinctions, including recognition as an outstanding and exemplary student at Tabriz University, a member of the talented student group, and a multiple-time awardee at national scientific festivals. His inventive spirit is evidenced by several registered patents in mechanical design and renewable energy applications. Through his scholarly work and innovation-driven approach, Dr. Arash Nourbakhsh Sadabad continues to shape the future of sustainable energy technologies and mechanical system efficiency, earning him recognition under the prestigious Best Researcher Award category.

Publication Profile

Google Scholar

Featured Publications

Nourbakhsh, A., Nami Khalilehdeh, M., Faramarzi, S., & Mafi, M. (2021). Energy, exergy and economic analysis of a hydrogen liquefaction process integrated with a PRICO cycle. Gas Processing Journal, 9(2), 83–102.

Aryanfar, Y., Keçebaş, A., Sadabad, A. N., Alcaraz, J. L. G., Fernandez, J. B., & Wu, W. (2024). Production of biodiesel from industrial sludge: Recent progress, challenges, perspective. Processes, 12(11), 2517.

Castellanos, H. G., Aryanfar, Y., Sadabad, A. N., Keçebaş, A., Youssef, M., et al. (2025). Integrating solar energy in urban development: Strategies for sustainable and smart cities. International Transactions on Electrical Energy Systems, 2025(1), 6096036.

Nourbakhsh Sadabad, A., Radman, S., Ranjbar, F., & Nami Khalilehdeh, M. (2022). Thermoeconomic analysis and multi-objective optimization of a high-performance system based on gas turbine and Rankine equipped with thermoelectric generator cycles. Journal of Mechanical Engineering, 52(1), 197–206.

Nourbakhsh Sadabad, A., Nami Khalilehdeh, M., Ranjbar, S. F., & Faramarzi, S. (2022). Simulation, analysis and optimization of a non-emission process producing power, hydrogen gas and liquid hydrogen using solar energy and PEM electrolysis. Journal of Mechanical Engineering, 52(2), 173–182.*

Vasso Papadimitriou | Engineering | Best Researcher Award

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Ms. Vasso Papadimitriou | Engineering | Best Researcher Award

Aristotle University of Thessaloniki | Greece

Ms. Vasso Papadimitriou is an accomplished researcher and academic affiliated with the Aristotle University of Thessaloniki and the Region of Central Macedonia, Greece. Her research primarily focuses on construction project management, cost estimation models, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques, particularly Artificial Neural Networks (ANNs), in the field of building renovation and project planning. She has contributed significantly to the development of predictive and hybrid models that enhance accuracy in early-stage and final cost estimation for construction and renovation projects. Dr. Papadimitriou’s innovative work combines ANN methodologies, including Radial Basis Function (RBF) and Multilayer Perceptron (MLP) networks, with Multi-Criteria Decision-Making (MCDM) approaches such as the TOPSIS Methodology to create efficient, data-driven tools for project assessment and optimization. Her research also aligns with Sustainable Development Goals (SDG 9 and SDG 17), focusing on promoting innovation, infrastructure, and partnerships for sustainable growth. She has published in international peer-reviewed journals indexed in Scopus, Web of Science (SCI-Expanded, ESCI), and other scientific databases. According to Scopus, she has 6 publications, 3 citations, and an h-index of 1. On Google Scholar, she holds 14 total citations, an h-index of 3, and an i10-index of 1, while ResearchGate records 6 publications, 11 citations, and an h-index of 2. Her interdisciplinary approach bridges civil engineering, computer science, and digital construction, contributing to advancements in cost modeling and sustainable infrastructure management. Through her publications and research collaborations, Dr. Papadimitriou continues to make impactful contributions to the field of engineering innovation and AI-driven construction technology. Her outstanding achievements and innovative contributions to predictive modeling and sustainable construction management make her a deserving nominee for the Best Researcher Award.

Publication Profile

Scopus | Google Scholar

Featured Publications

Papadimitriou, V. E., & Aretoulis, G. N. (2024). A final cost estimating model for building renovation projects. Buildings, 14(4), 1072.

Papadimitriou, V. E., Aretoulis, G. N., & Papathanasiou, J. (2024). Radial Basis Function (RBF) and Multilayer Perceptron (MLP) comparative analysis on building renovation cost estimation: The case of Greece. Algorithms, 17(9), 390.

Papadimitriou, V., & Aretoulis, G. (2023). Neural network models as a cost prediction tool to prevent building construction projects from a failure—A literature review. Proceedings of the Erasmus+ PROSPER Project International Scientific Conference, 1–10.

Papadimitriou, V. E., & Aretoulis, G. N. (2025). An innovative approach regarding efficient and expedited early building renovation cost estimation utilizing ANNs and the TOPSIS methodology. Algorithms, 18(11), 696.

Kritikos, P., Papadimitriou, V., & Aretoulis, G. N. (2021). Required project designers’ attributes as perceived by male and female engineers. International Journal of Decision Support System Technology (IJDSST), 13(4), 1–15.

 

 

Samira Eslamizad | Pharmaceutical Science | Best Researcher Award

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Assoc. Prof. Dr. Samira Eslamizad | Pharmaceutical Science | Best Researcher Award

Shahid Beheshti University of Medical Sciences | Iran

Assoc. Prof. Dr. Samira Eslamizad is an accomplished researcher and Assistant Professor at the Food Safety Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Her research expertise lies in the fields of toxicology, food safety, and environmental health, focusing on the detection, quantification, and health risk assessment of chemical contaminants in food and environmental samples. She has made significant contributions to the development and validation of advanced analytical methods using LC-MS/MS, GC-MS/MS, and multiplex biochip array technologies to assess contaminants such as acrylamide, mycotoxins, polycyclic aromatic hydrocarbons, antibiotic residues, and pesticides in food matrices. Dr. Eslamizad’s innovative work on simultaneous screening and validation of multiple residues and toxins has advanced food safety monitoring standards in accordance with European Union regulations. Her collaborative research with international scientists has yielded impactful findings on public health risk assessment, including studies on occupational exposure and toxicological impacts of environmental pollutants. She has authored numerous scientific publications in high-impact journals, earning 350 Scopus citations (22 documents, h-index 11) and 577 Google Scholar citations (h-index 15, i10-index 18), reflecting the quality and influence of her scholarly contributions. Dr. Eslamizad’s research continues to play a vital role in improving food quality, developing safer consumption practices, and advancing analytical toxicology in Iran and beyond. This outstanding record of scientific excellence and impact makes her a deserving recipient of the Best Researcher Award.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Eslamizad, S., Kobarfard, F., Tsitsimpikou, C., Tsatsakis, A., Tabib, K., & Yazdanpanah, H. (2019). Health risk assessment of acrylamide in bread in Iran using LC-MS/MS. Food and Chemical Toxicology, 126, 162–168.

  • Hooshfar, S., Khosrokhavar, R., Yazdanpanah, H., Eslamizad, S., Kobarfard, F., Nazari, F., Kokaraki, V., Kokkinakis, M., Goumenou, M., & Tsitsimpikou, C. (2020). Health risk assessment of aflatoxin M1 in infant formula milk in IR Iran. Food and Chemical Toxicology, 142, 111455.

  • Hadian, Z., Eslamizad, S., & Yazdanpanah, H. (2019). Pesticide residues analysis in Iranian fruits and vegetables by Gas Chromatography-Mass Spectrometry. Iranian Journal of Pharmaceutical Research, 18(1), 275–283.

  • Pournourmohammadi, S., Khazaeli, P., Eslamizad, S., Tajvar, A., Mohammadirad, A., & Abdollahi, M. (2008). Study on the oxidative stress status among cement plant workers. Human and Experimental Toxicology, 27(6), 463–469.

  • Karimi, A., Eslamizad, S., Mostafaee, M., Momeni, Z., Ziafati, F., & Mohammadi, S. (2016). Restrictive pattern of pulmonary symptoms among photocopy and printing workers: A retrospective cohort study. Journal of Research in Health Sciences, 16(2), 81–87.

 

Pramod Kumar Aylapogu | Wireless Communications | Best Researcher Award

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Dr. Pramod Kumar Aylapogu | Wireless Communications | Best Researcher Award

CMR Engineering College | India

Dr. A. Pramod Kumar is a distinguished researcher and academician specializing in Wireless Sensor Networks, Antenna Design, VLSI Systems, and the Internet of Things (IoT). His scholarly work spans across multiple interdisciplinary domains, including millimeter-wave antennas for underwater monitoring, soft-switching DC-DC converters for electric vehicles, and next-generation communication systems. academic and research experience, he has made significant contributions through 47 SCOPUS, SCI, and ESCI-indexed publications in reputed international journals and conferences. His research has been recognized with numerous accolades, including the NPTEL Discipline Star Award, the Best Paper Award at SPEEDAM in Italy, and appreciation for outstanding contributions to student success. Dr. Pramod Kumar’s citation metrics underscore his research impact Google Scholar reports 101 citations, an h-index of 5, and an i10-index of 1, while Scopus lists 86 citations with an h-index of 5 across 79 documents. He has co-authored several patents focusing on IoT-based smart systems, energy-efficient architectures, and cybersecurity frameworks. His research excellence is further reflected in his leadership roles in organizing IEEE and Scopus-indexed international conferences and serving as a reviewer for high-impact SCI journals such as Applied Soft Computing and Soft Computing. His dual doctoral research—spanning millimeter-wave antenna design and power electronics highlights his multidisciplinary expertise and dedication to innovation. His ongoing work integrates IoT and artificial intelligence for sustainable technological development, aligning with global trends in smart and connected systems. Dr. Pramod Kumar’s remarkable publication record, patents, and research influence establish him as a deserving candidate for the Best Researcher Award.

Publication Profile

Scopus | Orcid | Google Scholar

Featured Publications

  • Bevara, V., Bevara, S., Busi, S., Krishna, R. V. V. M., & Aylapogu, P. K. (2024). Ultra low power reversible arithmetic processor based on QCA. Optical and Quantum Electronics, 56(4), 586.

  • Bhajana, V. V. S. K., Drabek, P., & Aylapogu, P. K. (2019). Design and implementation of a zero voltage transition bidirectional DC–DC converter for DC traction vehicles. International Transactions on Electrical Energy Systems, 29(5), e2842.

  • Pramod Kumar, A., Suman, N., Koteswararao, Y. V., & Venkatachari, D. (2020). WITHDRAWN: Design and analysis of high beam forming MIMO antenna for 5G applications. Materials Today: Proceedings.

  • Kumar, A. P., Chiatanya, D. M. K., & Venkatachari, D. (2020). Design of high gain dual T-shaped stub antenna for satellite communication. TELKOMNIKA (Telecommunication Computing Electronics and Control), 18(3), XXX–XXX.*

  • Aylapogu, P. D., & Bhajana, V. V. S. K. (2016). A novel ZCS interleaved bidirectional buck-boost DC–DC converter for energy storage applications. Proceedings of ELEKTRO 2016, 180–185.