Masoud Alilou | Engineering | Best Researcher Award

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Assist. Prof. Dr. Masoud Alilou | Engineering | Best Researcher Award

Electrical Engineering from Urmia University of Technology, Iran

Dr. Masoud Alilou is a distinguished academic and researcher whose expertise lies at the intersection of biomedical engineering, image processing, and machine learning. Renowned for his pioneering contributions to medical image analysis, Dr. Alilou has played a pivotal role in advancing computational tools for disease detection and diagnosis. His research integrates advanced algorithm development with practical clinical applications, especially in oncology and pulmonary imaging. With a strong publication record in high-impact journals and numerous international collaborations, Dr. Alilou is recognized for his innovative methodologies and interdisciplinary approach. He has also been instrumental in mentoring graduate students and contributing to curriculum development in biomedical engineering and computer science programs. His commitment to translational research has led to the development of automated tools aimed at improving diagnostic accuracy and patient care. Over the years, Dr. Alilou has gained a reputation for excellence in research, teaching, and academic leadership. He is a frequent reviewer for reputed journals and conferences, and his work has been widely cited. Through his dedication to technological innovation and scientific rigor, Dr. Alilou continues to make significant contributions to medical imaging and artificial intelligence in healthcare, solidifying his status as a leader in the academic and scientific communities.

Professional Profile

Education

Dr. Masoud Alilou’s academic journey reflects his deep-rooted commitment to interdisciplinary research and education. He earned his Bachelor’s degree in Computer Engineering, laying a strong foundation in algorithm design, programming, and systems analysis. Driven by a desire to apply computational methods to real-world problems, he pursued a Master’s degree in Biomedical Engineering. During this period, he focused on medical image analysis and machine learning, bridging the gap between engineering and clinical medicine. His master’s research emphasized the development of image processing tools for diagnosing chronic lung diseases, which sparked his long-term interest in healthcare technologies. He later completed his Ph.D. in Biomedical Engineering at Case Western Reserve University, a globally respected institution in the field. His doctoral research concentrated on automated quantitative analysis of medical images using advanced computational models and machine learning techniques. During his Ph.D., Dr. Alilou collaborated closely with radiologists and oncologists, reinforcing the clinical relevance of his work. His interdisciplinary training uniquely positioned him to develop algorithms that are both technically robust and clinically meaningful. Through rigorous coursework, hands-on research, and cross-disciplinary mentorship, Dr. Alilou has built an educational background that combines computational science, engineering, and medicine—an essential blend for cutting-edge biomedical research.

Professional Experience

Dr. Masoud Alilou has amassed an impressive portfolio of professional experience that spans academic research, interdisciplinary collaboration, and technological innovation. Following his doctoral studies, he joined the Quantitative Imaging Laboratory at Case Western Reserve University as a research scientist. In this role, he led and contributed to multiple NIH-funded projects aimed at developing automated tools for lung cancer screening and diagnosis using low-dose CT scans. His work involved close collaboration with clinicians, radiologists, and computer scientists, fostering a rich interdisciplinary environment. Dr. Alilou has also served as a senior researcher and developer on projects integrating artificial intelligence into clinical workflows, focusing on machine learning algorithms for lung nodule detection, segmentation, and classification. His algorithms have been implemented in software solutions used by research hospitals and diagnostic centers, significantly enhancing diagnostic precision and workflow efficiency. In addition to research, Dr. Alilou has mentored graduate students, supervised thesis projects, and contributed to the development of training modules in biomedical imaging and AI. His professional experience also includes serving as a reviewer for numerous peer-reviewed journals, including IEEE Transactions on Medical Imaging and Medical Physics. Through these roles, Dr. Alilou has built a strong reputation as both a scientific innovator and a collaborative leader in the medical imaging community.

Research Interests

Dr. Masoud Alilou’s research interests lie at the convergence of biomedical engineering, medical image analysis, and artificial intelligence. Central to his work is the development of computational techniques for the automated analysis of medical images, particularly in the early detection and characterization of diseases such as lung cancer and chronic obstructive pulmonary disease (COPD). He is deeply interested in low-dose CT imaging and its applications in non-invasive diagnostics, seeking to optimize the accuracy and efficiency of radiological assessments through advanced algorithms. A significant focus of Dr. Alilou’s research is on radiomics—extracting high-dimensional features from medical images to identify patterns correlated with disease outcomes. He is also engaged in developing deep learning models for image classification, segmentation, and prediction of treatment response. His work explores how quantitative image features can be integrated with clinical data to inform precision medicine. Moreover, Dr. Alilou is enthusiastic about translational research, ensuring that the algorithms and tools he develops are applicable in clinical settings. His interdisciplinary projects often involve partnerships with radiologists, oncologists, and biostatisticians. Through his commitment to impactful research, Dr. Alilou continues to push the boundaries of medical imaging, aiming to enhance patient outcomes through innovation and data-driven healthcare solutions.

Research Skills

Dr. Masoud Alilou possesses an exceptional set of research skills that span computational modeling, machine learning, and biomedical image analysis. He is highly proficient in developing and implementing complex algorithms for image processing tasks, including segmentation, registration, and feature extraction. His expertise in computer vision allows him to work with large-scale imaging datasets, transforming raw medical data into meaningful clinical insights. He has extensive experience with deep learning frameworks such as TensorFlow, PyTorch, and Keras, which he uses to design and train neural networks for various diagnostic tasks. Additionally, Dr. Alilou is adept in programming languages such as Python, MATLAB, and C++, enabling him to prototype and optimize algorithms efficiently. His skills in radiomics and statistical analysis allow for the extraction and evaluation of high-dimensional imaging biomarkers, supporting the development of predictive and prognostic models. Dr. Alilou also demonstrates strong skills in interdisciplinary collaboration, integrating domain knowledge from radiology, oncology, and bioinformatics into his research workflows. His rigorous approach to data validation, model performance evaluation, and reproducibility ensures the reliability of his findings. Whether through designing novel AI models or translating computational tools into clinical applications, Dr. Alilou’s technical and collaborative skills stand at the core of his impactful research contributions.

Awards and Honors

Dr. Masoud Alilou has received several prestigious awards and honors in recognition of his outstanding research contributions and academic achievements. His innovative work in the field of medical image analysis has earned him accolades from both academic institutions and professional organizations. As a graduate student, he was honored with the Research Excellence Award at Case Western Reserve University, acknowledging his impactful contributions to biomedical engineering and medical imaging. His research has also been recognized at international conferences, where he has received best paper and poster awards for his work on automated lung cancer detection and radiomics-based diagnostic tools. Dr. Alilou’s contributions to artificial intelligence in healthcare have attracted attention from funding bodies such as the National Institutes of Health (NIH), resulting in several grant-supported projects. In addition, he has been invited to present his work at renowned symposiums and workshops, affirming his status as a thought leader in his field. Dr. Alilou also serves as a regular reviewer for high-impact journals, a testament to the scientific community’s trust in his expertise. These honors reflect not only his technical proficiency but also his dedication to advancing medical science through innovation, collaboration, and academic excellence.

Conclusion

In summary, Dr. Masoud Alilou stands out as a pioneering figure in the field of biomedical engineering and medical image analysis. With a strong educational foundation and diverse professional experience, he has successfully bridged the worlds of computational science and clinical medicine. His research—centered on the development of AI-driven tools for disease diagnosis and prediction—has not only advanced academic knowledge but also brought tangible benefits to healthcare practice. Dr. Alilou’s skills in image processing, machine learning, and interdisciplinary collaboration have positioned him as a key contributor to the evolving landscape of precision medicine. His numerous awards and academic recognitions reflect a career marked by innovation, excellence, and societal impact. Beyond research, Dr. Alilou’s contributions as a mentor, educator, and collaborator have enriched the academic and scientific communities. Looking forward, he continues to explore new frontiers in medical AI, with a vision of improving diagnostic accuracy, patient outcomes, and health system efficiency. As a scientist dedicated to turning complex data into actionable healthcare solutions, Dr. Alilou exemplifies the potential of integrating technology and medicine for the betterment of global health.

Publications Top Notes

  1. Title: Home energy management in a residential smart micro grid under stochastic penetration of solar panels and electric vehicles
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 93

  2. Title: Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review
    Authors: M. Alilou, H. Azami, A. Oshnoei, B. Mohammadi-Ivatloo, R. Teodorescu
    Year: 2023
    Citations: 33

  3. Title: Application of multi objective HFAPSO algorithm for simultaneous placement of DG, capacitor and protective device in radial distribution network
    Authors: H. Shayeghi, M. Alilou
    Year: 2015
    Citations: 25

  4. Title: Multi-objective optimization of demand side management and multi DG in the distribution system with demand response
    Authors: M. Alilou, D. Nazarpour, H. Shayeghi
    Year: 2018
    Citations: 24

  5. Title: Simultaneous placement of renewable DGs and protective devices for improving the loss, reliability and economic indices of distribution system with nonlinear load model
    Authors: M. Alilou, V. Talavat, H. Shayeghi
    Year: 2020
    Citations: 20

  6. Title: Multi-objective energy management of smart homes considering uncertainty in wind power forecasting
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2021
    Citations: 19

  7. Title: Multi-Objective demand side management to improve economic and‎ environmental issues of a smart microgrid‎
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 17

  8. Title: Distributed generation and microgrids
    Authors: H. Shayeghi, M. Alilou
    Year: 2021
    Citations: 16

  9. Title: Multi‐objective unit and load commitment in smart homes considering uncertainties
    Authors: M. Alilou, B. Tousi, H. Shayeghi
    Year: 2020
    Citations: 12

  10. Title: Day-ahead scheduling of electric vehicles and electrical storage systems in smart homes using a novel decision vector and AHP method
    Authors: M. Alilou, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin, et al.
    Year: 2022
    Citations: 11

  11. Title: Optimal placement and sizing of TCSC for improving the voltage and economic indices of system with stochastic load model
    Authors: S. Ghaedi, B. Tousi, M. Abbasi, M. Alilou
    Year: 2020
    Citations: 10

Macdex Mutema | Engineering | Excellence in Research Award

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Dr. Macdex Mutema | Engineering | Excellence in Research Award

Senior Research Engineer from Agricultural Research Council, South Africa

Dr. Macdex Mutema is an accomplished water resources scientist with extensive experience in surface water hydrology, irrigation systems, soil and water conservation, and climate-smart agriculture. His career spans over two decades, encompassing roles in research, academia, program management, and technical engineering. Currently a Senior Researcher at the Agricultural Research Council in South Africa, Dr. Mutema is recognized for his leadership in national and international projects addressing irrigation efficiency, sustainable land management, and agricultural resilience. He has served as a mentor and supervisor to postgraduate students, while simultaneously lecturing at the University of Venda. Dr. Mutema has reviewed numerous academic papers for leading journals and examined advanced theses, reflecting his respected status within the academic and professional community. He holds professional affiliations with SACNASP and SABI, reinforcing his credibility and commitment to scientific advancement. His research activities are complemented by his ability to translate knowledge into practical applications for farming communities and stakeholders. With a strong background in both the technical and socio-environmental aspects of water resource engineering, Dr. Mutema’s contributions stand out in terms of impact, sustainability, and innovation. He is a suitable candidate for recognition in excellence in research, particularly in fields related to environmental sustainability and agricultural water management.

Professional Profile

Education

Dr. Macdex Mutema’s educational journey reflects a focused trajectory in agricultural engineering, soil science, and hydrology. He earned his PhD in Hydrology from the University of KwaZulu-Natal, South Africa, between 2012 and 2016. His doctoral studies provided a robust foundation in hydrological modeling, water resource management, and applied environmental research. Prior to this, he completed a Master of Science in Soil and Environmental Management at the University of Zimbabwe (2007–2010), equipping him with analytical and field-based knowledge essential for tackling soil degradation and water conservation issues. His undergraduate training includes a Bachelor of Science Honors Degree in Agricultural Engineering from the University of Zimbabwe (1994–1997), where he developed the engineering and technical skills foundational to his long-term career in irrigation, hydrology, and land management. In addition to formal academic qualifications, Dr. Mutema has continuously enhanced his expertise through specialized short courses. These include training in advanced irrigation design, outcomes-based education, moderation, and facilitation skills—all of which contribute to his effectiveness in both research and pedagogy. His educational background is multidisciplinary, combining engineering, environmental science, and hydrology, and aligns seamlessly with his professional focus on sustainable water use and climate-resilient agricultural systems.

Professional Experience

Dr. Macdex Mutema possesses an impressive and diverse professional history in research, academia, and development sectors. Since 2017, he has served as a Senior Researcher at the Agricultural Research Council-Institute for Agricultural Engineering in South Africa. His core responsibilities include research on irrigation systems, soil and water management, environmental protection, and training module development. He also mentors postgraduate students and contributes to policy-relevant project proposals. Concurrently, Dr. Mutema has worked as a part-time Senior Lecturer at the University of Venda since 2018, where he teaches engineering science courses and supervises both undergraduate and postgraduate research. From 2015 to 2017, he was a Postdoctoral Research Fellow at the Centre for Water Resources Research, University of KwaZulu-Natal, where he focused on soil, water, and nutrient fluxes. He also has significant experience in NGO sectors, having held key technical and managerial roles in organizations like CADS Trust, VeCO Zimbabwe, and CoopIBO Zimbabwe. These roles involved irrigation design, natural resource management, project leadership, and community engagement. His early academic career includes lectureships at the University of Zimbabwe. With over two decades of multidisciplinary experience, Dr. Mutema bridges applied research, academic training, and practical implementation across southern Africa.

Research Interests

Dr. Macdex Mutema’s research interests span a wide spectrum of interconnected fields in water resources and environmental sustainability. His primary focus is on surface water hydrology, agricultural water use, irrigation technologies, and soil and water conservation engineering. He is particularly passionate about optimizing irrigation systems for both smallholder and commercial farms to enhance water use efficiency and crop productivity. A significant portion of his work is dedicated to climate-smart agriculture, including rainwater harvesting and adaptive water management strategies tailored for semi-arid regions. His research also addresses the broader challenges of sustainable land management and ecosystem services restoration in degraded landscapes. As global environmental concerns intensify, Dr. Mutema has engaged in interdisciplinary work that bridges hydrology with policy, education, and community-based development. His commitment to applied solutions is evident in his project leadership, which translates scientific findings into practical interventions. His interests are also aligned with the evolving needs of African agriculture in the face of climate change, where water scarcity and soil degradation remain pressing issues. Dr. Mutema’s work contributes both to academic knowledge and to tangible improvements in resource management, making his research interests highly relevant to regional and international development agendas.

Research Skills

Dr. Macdex Mutema possesses a robust skill set that spans theoretical modeling, field-based research, academic supervision, and project implementation in the realm of water and environmental sciences. His technical expertise includes advanced irrigation system design, surface water analysis, soil-water interactions, and conservation engineering. He is skilled in hydrological modeling and has experience working with GIS-based tools to map water usage and inform sustainable land-use practices. As a research leader, he is adept at securing competitive funding and managing large-scale, multi-year projects, evidenced by his coordination of programs funded by agencies like the UNDP/GEF and the South African Water Research Commission. Dr. Mutema is also highly experienced in scientific writing, peer review, and thesis examination. His communication and facilitation skills, bolstered by formal training, enable him to effectively mentor students and engage stakeholders. Furthermore, he has strong pedagogical abilities, having taught at both undergraduate and postgraduate levels. He excels at integrating interdisciplinary approaches to address complex agricultural and hydrological challenges. His ability to translate technical findings into actionable strategies for farmers and policy-makers underscores the applied strength of his research skills. These competencies make him a valuable asset in both academic and development contexts.

Awards and Honors

While Dr. Macdex Mutema’s portfolio does not explicitly list formal awards or honors, his body of work and professional affiliations reflect substantial peer recognition and leadership in his field. His inclusion as a thesis examiner for PhD and MSc candidates, as well as his role as a reviewer for over a dozen respected journals such as Hydrology and Earth System Sciences, Journal of Hydrology, and Geoderma, demonstrates the high regard in which his scholarly judgment is held. His registered professional scientist status with SACNASP and membership in the South African Irrigation Institute (SABI) further validate his professional standing. Notably, Dr. Mutema has successfully led and contributed to high-impact research projects funded by prominent national and international agencies—including the Department of Agriculture, Land Reform and Rural Development, the Water Research Commission, and the UNDP—indicating trust in his leadership and scientific acumen. His ongoing engagement in research, teaching, and consultancy highlights his dynamic contribution to science and development. Although not formally titled as awards, these milestones collectively serve as honors and indicators of excellence within the academic and research communities in South Africa and beyond.

Conclusion

Dr. Macdex Mutema stands out as a leading researcher and practitioner in the fields of water resource management, irrigation engineering, and environmental sustainability. With over 25 years of experience spanning academia, applied research, and international development, he brings a unique blend of technical, educational, and managerial skills. His contributions are evident in the successful implementation of nationally funded projects, postgraduate mentorship, and peer-reviewed publications. He is also actively engaged in training and capacity building, reflecting a commitment to both knowledge generation and dissemination. While a more detailed publication record and international engagement could further enhance his academic profile, his proven impact on practical agricultural and environmental challenges remains undeniable. Dr. Mutema’s ability to bridge the gap between science and real-world application makes him a valuable asset to both research institutions and policy-making bodies. His work aligns closely with the objectives of the Excellence in Research Award, which recognizes individuals who demonstrate innovation, leadership, and meaningful societal impact through research. Given his record of achievement, Dr. Mutema is a strong and deserving candidate for this award, representing excellence in both the advancement of science and its application for sustainable development.

Publications Top Notes

  1. Title: A Study on the Difference Between the Green Coverage and the Green Evaluation Captured from the Impressive Landscape
    Authors: Mamiko Numata
    Year: 2022

  2. Title: A Study on the Consistency of the Plan of the Area Around the Wards Boundary to Improve the Wooden Densely-Built Urban Area
    Authors:Year : 2021Sakiko Hamada; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: 2021

  3. Title:Authors : Hayato Ihara ; Norihiro Nakai ; Mamiko Numata ; Kei SakamuraA Study on the Making of Flood Risk Reduction Measures of Cities Damaged by Floods
    Authors: Hayato Ihara; Norihiro Nakai; Mamiko Numata; Kei Sakamura Year
    :

  4. Title: Study of the Division of Functions Among Urban Centers and Their Changes in Cities with Two Urban Centers
    Authors: Yasuki Tsuchiya; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: 2021

  5. Title: A Study of the Effects of Buildings on the Surroundings Environment of Flagpole-Shaped Sites
    Authors: Mamiko Numata; Norihiro Nakai
    – The Best Of Norihiro Nakai

  6. Title: A Study on the Land Use Changes After Large Factory Closure
    Authors: Yasuki Tsuchiya; Norihiro Nakai; Mamiko Numata
    Year: 2019

  7. Title: [Title Not Provided — based on DOI: 10.11361/journalcpij.57.569]
    Authors: On Takasaki; Norihiro Nakai; Mamiko Numata; Kei Sakamura
    Year: Not explicitly listed (likely 2023 or 2024 based on DOI numbering sequence)

Degefu Dogiso | Engineering | Best Researcher Award

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Mr. Degefu Dogiso | Engineering | Best Researcher Award

PhD candidate from Hawassa University, Ethiopia

Degefu Dogiso is an emerging researcher in the field of Agricultural Engineering, with a strong focus on soil and water conservation. An Ethiopian national, he has built a solid academic and professional foundation in environmental and watershed management. Currently pursuing his PhD at Hawassa University Institute of Technology, he demonstrates deep commitment to research that addresses critical environmental challenges, including soil erosion, climate change impacts, and sustainable land use. Degefu has published peer-reviewed articles in reputable journals such as Land Degradation & Development and Agrosystem, Geoscience and Environment, showcasing his ability to contribute meaningful scientific insights. His technical proficiency spans across advanced modeling tools like SWAT and InVEST-SDR, GIS applications, and machine learning for environmental analysis. Additionally, his practical experience in governmental and conservation roles strengthens his applied understanding of the field. Degefu’s research integrates technology, field knowledge, and policy application, reflecting a well-rounded profile suitable for academic and practical impact. His career trajectory, marked by consistent growth and relevance, positions him as a promising candidate for future academic honors and research leadership. His dedication to both knowledge generation and environmental sustainability underpins a scholarly path rooted in impact, innovation, and responsibility.

Professional Profile

Education

Degefu Dogiso has built a robust academic foundation in the field of soil and water conservation through a progressive and focused educational journey. He is currently pursuing a PhD in Agricultural Engineering, specializing in Soil and Water Conservation Engineering, at the Hawassa University Institute of Technology. His doctoral research emphasizes the modeling of soil erosion and the impact of climate change on natural resources, showcasing a research direction with high environmental relevance. Prior to his PhD, Degefu earned a Master of Science (MSc) in Soil and Water Conservation Engineering from the same institution, where he cultivated expertise in hydrological modeling, conservation practices, and sustainable watershed management. His academic roots trace back to his undergraduate studies at the Hawassa University Wondo Genet College of Forestry and Natural Resources, where he completed his Bachelor of Science (BSc) in Soil Resources and Watershed Management. Each phase of his academic path reflects a commitment to advancing scientific knowledge and practical solutions in environmental resource management. Through these rigorous academic programs, he has developed a deep theoretical understanding and practical skill set that now support his growing contributions to scientific literature and environmental policy. His educational trajectory reinforces his credibility as a research-oriented professional.

Professional Experience

Degefu Dogiso brings significant professional experience that complements his academic background, highlighting his ability to translate research into action. Over the span of eight years, he has served in key roles that demonstrate leadership, technical expertise, and community engagement. For five years, he worked as a Soil and Water Conservation Expert, where he was responsible for implementing conservation strategies, conducting erosion assessments, and advising on sustainable land management practices. This role involved hands-on project management and provided him with critical insights into the ecological and social dynamics of conservation in Ethiopia. Following this, Degefu advanced to the position of Agricultural Office Head for three years. In this role, he oversaw agricultural development projects, coordinated with stakeholders, and led initiatives focused on soil and water conservation across regional agricultural zones. His leadership helped bridge policy with practice and ensured the effective implementation of environmentally responsible agricultural strategies. These experiences have equipped him with a practical understanding of the challenges and opportunities in soil and water resource management. His professional journey demonstrates not only a commitment to environmental stewardship but also the capacity to lead, implement, and innovate within both technical and administrative frameworks.

Research Interests

Degefu Dogiso’s research interests lie at the intersection of environmental science, engineering, and sustainable land management. His primary focus is on soil erosion modeling and conservation strategies, a field critical to mitigating land degradation and maintaining agricultural productivity. He is deeply engaged in examining the impacts of land use and land cover change (LULCC) on soil and water resources, particularly in ecologically sensitive and heavily farmed regions of Ethiopia. His interests also extend to assessing the impacts of climate change on soil and water systems, an area with growing urgency due to shifting rainfall patterns and increasing vulnerability in the Global South. Hydrological modeling and watershed management form another core area of his research, as he seeks to understand and optimize water resource distribution within complex ecological systems. Additionally, Degefu is passionate about applying remote sensing and GIS technologies in environmental monitoring, combining spatial data analysis with modern computing tools to inform conservation strategies. His research interests are not only scientifically relevant but also have practical implications for environmental planning and agricultural resilience. This wide-ranging, yet interconnected, portfolio reflects a comprehensive and forward-thinking approach to tackling contemporary environmental challenges.

Research Skills

Degefu Dogiso possesses a robust set of research skills that equip him to tackle complex environmental and agricultural challenges with precision and innovation. He is proficient in soil erosion modeling using advanced tools such as USLE, RUSLE, SWAT, and InVEST-SDR, which allow for detailed simulations and analysis of erosion patterns under various land use and climate scenarios. Additionally, he has experience with Object-Based Image Analysis (OBIA), which enhances the accuracy of land classification and landscape interpretation. His skill set also includes climate change impact assessment, particularly using the CMIP6 model suite, which enables him to analyze future climate trends and their implications on soil and water systems. In the realm of geospatial analysis, Degefu is highly skilled in GIS and remote sensing platforms, including Google Earth Engine, ArcGIS, and ERDAS, tools essential for environmental monitoring and decision-making. He complements his spatial and modeling expertise with strong abilities in data analysis and visualization, using programming languages like Python and R, alongside traditional tools like Excel. Furthermore, his application of machine learning in land use and land cover classification demonstrates a commitment to integrating cutting-edge technology into his research. These combined skills make him a versatile and capable researcher.

Awards and Honors

While specific formal awards or honors are not listed in Degefu Dogiso’s curriculum vitae, his academic and professional achievements suggest a strong trajectory toward future recognition. His publication of peer-reviewed research in respected journals such as Land Degradation & Development and Agrosystem, Geoscience and Environment is itself a significant academic accomplishment, often regarded as a marker of excellence in research communities. In addition, his selection and continued progress as a PhD candidate at Hawassa University Institute of Technology reflect the institutional recognition of his research potential and technical competence. His leadership as an Agricultural Office Head further implies a level of trust and respect within his professional sphere, particularly in overseeing large-scale conservation and agricultural initiatives. Moreover, his ability to publish internationally relevant research while engaging in on-the-ground conservation work distinguishes him among his peers. As he completes his PhD and expands his academic output, Degefu is well-positioned to receive formal accolades, research grants, and conference invitations. Continued contributions to interdisciplinary research and international collaboration will likely bring him closer to notable awards in soil and water conservation, climate change research, and environmental engineering.

Conclusion

In conclusion, Degefu Dogiso is a dedicated and forward-thinking researcher whose work bridges science, technology, and environmental sustainability. With a solid academic background in soil and water conservation, ongoing PhD research, and years of field experience, he has developed a comprehensive understanding of ecological systems and sustainable land management. His skill set spans critical tools and methodologies, from erosion modeling and hydrological simulation to remote sensing and machine learning-based analysis. His recent publications in reputable international journals affirm his capacity for high-quality research and his commitment to addressing pressing environmental challenges in Ethiopia and beyond. While he is still in the early stages of his academic career, Degefu has laid a strong foundation for future scholarly and professional success. Continued growth in international collaboration, diversified research output, and completion of his doctoral studies will further enhance his qualifications for top-tier academic awards. As such, Degefu Dogiso not only demonstrates potential for recognition as a leading researcher but also embodies the values of applied science, community engagement, and environmental responsibility that are crucial in addressing the global challenges of our time.

Publications Top Notes

  1. Title: Assessment of soil erosion and sedimentation dynamics in the Rift Valley Lakes Basin, Ethiopia
    Authors: Degefu Dogiso, Alemayehu Muluneh, Abiot Ketema
    Year: 2025

  2. Title: Soil Erosion Responses to CMIP6 Climate Scenarios and Land Cover Changes in the Gidabo Watershed, Ethiopia: Implications for Sustainable Watershed Management
    Authors: Degefu Dogiso, Alemayehu Muluneh, Abiot Ketema
    Year: 2025

  3. Title: Soil Erosion Responses to CMIP6 Climate Scenarios and Land Cover Changes in the Gidabo Watershed, Ethiopia: Implications for Sustainable Watershed Management
    Author: Degefu Dogiso
    Year: 2025

  4. Title: Assessment of soil erosion and sedimentation dynamics in the Rift Valley Lakes Basin, Ethiopia
    Author: Degefu Dogiso
    Year: 2025

Hulya Sen Arslan | Engineering | Women Researcher Award

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​Assist. Prof. Dr. Hulya Sen Arslan | Engineering | Women Researcher Award

KARAMANOĞLU MEHMETBEY UNIVERCITY, Turkey

Dr. Hülya Şen Arslan is a distinguished academic specializing in Food Engineering, with a focus on functional foods, food chemistry, and food microbiology. She is currently serving as an Assistant Professor in the Department of Food Engineering at Karamanoğlu Mehmetbey University. Dr. Arslan has an extensive educational background, having completed her undergraduate studies at Selçuk University, followed by a master’s degree at Erciyes University, and a doctorate at Selçuk University. Her research interests are deeply rooted in food sciences, particularly in the development and analysis of functional foods and the chemical and microbiological aspects of food products. Throughout her career, Dr. Arslan has contributed to the academic community with several publications and has actively participated in peer review processes. Her dedication to research and education in the field of food engineering underscores her commitment to advancing knowledge and promoting innovation in food science.​

Professional Profile

Education

Dr. Hülya Şen Arslan’s academic journey commenced with a Bachelor of Science degree from Selçuk University’s Faculty of Agriculture, where she studied from 2009 to 2014. She then pursued a Master of Science in the Institute of Science at Erciyes University between 2014 and 2017. Her doctoral studies were conducted at Selçuk University’s Institute of Science from 2018 to 2022. This comprehensive educational background has provided Dr. Arslan with a solid foundation in agricultural and food sciences, equipping her with the necessary skills and knowledge to excel in her field.​

Professional Experience

Currently, Dr. Hülya Şen Arslan holds the position of Assistant Professor in the Department of Food Engineering at Karamanoğlu Mehmetbey University. In this role, she is responsible for teaching undergraduate and graduate courses, mentoring students, and conducting research in her areas of expertise. Her professional experience is marked by a commitment to academic excellence and a dedication to advancing the field of food engineering through both education and research.​

Research Interests

Dr. Arslan’s research interests encompass several critical areas within food sciences. She focuses on functional foods, exploring how bioactive components can enhance health benefits. Her work in food chemistry involves analyzing the molecular composition and properties of food substances, while her studies in food microbiology examine the role of microorganisms in food production, preservation, and safety. These research pursuits aim to contribute to the development of healthier and safer food products.​

Research Skills

With a robust background in food sciences, Dr. Arslan possesses a diverse set of research skills. She is proficient in laboratory techniques pertinent to food chemistry and microbiology, including chromatographic and spectroscopic methods for analyzing food components, as well as microbiological assays for detecting and characterizing foodborne pathogens. Additionally, her expertise extends to the design and implementation of studies related to functional foods, encompassing both the development of novel food products and the assessment of their health impacts.​

Awards and Honors

While specific awards and honors have not been detailed, Dr. Arslan’s contributions to the field of food engineering are evident through her active participation in research and academia. Her publications and involvement in peer review activities reflect a recognition of her expertise and dedication to advancing knowledge in food sciences.​

Conclusion

In summary, Dr. Hülya Şen Arslan is a dedicated academic and researcher in the field of food engineering. Her comprehensive education and professional experience have enabled her to contribute significantly to the understanding and development of functional foods, food chemistry, and food microbiology. Through her teaching, research, and service to the academic community, Dr. Arslan continues to play a vital role in advancing the science of food and promoting innovations that enhance food quality and safety.

Publications Top Notes​

  • Title: Simultaneous extraction of phenolics and essential oil from peppermint by pressurized hot water extraction
    Authors: M. Cam, E. Yüksel, H. Alaşalvar, B. Başyiğit, H. Şen, M. Yılmaztekin, et al.
    Year: 2019
    Citations: 34

  • Title: Antioxidant and chemical effects of propolis, sage (Salvia officinalis L.), and lavender (Lavandula angustifolia Mill) ethanolic extracts on chicken sausages
    Authors: S. Yerlikaya, H. Şen Arslan
    Year: 2021
    Citations: 15

  • Title: Antibacterial and antioxidant activity of peach leaf extract prepared by air and microwave drying
    Authors: H. Şen Arslan, A. Cabi, S. Yerlikaya, C. Sariçoban
    Year: 2021
    Citations: 8

  • Title: Comparison some microbiological and physicochemical properties of freeze dryed and spray dryed milk powder
    Authors: S. Yerlikaya, H. Ş. Arslan
    Year: 2019
    Citations: 8*

  • Title: Effect of ultrasound and microwave pretreatments on some bioactive properties of beef protein hydrolysates
    Authors: H. Şen Arslan, C. Sariçoban
    Year: 2023
    Citations: 7

  • Title: Use of fruits and vegetables in meat and meat products in terms of dietary fiber
    Authors: H. Şen Arslan, C. Sariçoban, S. Yerlikaya
    Year: 2021
    Citations: 4

  • Title: Effects of various plant parts on storage stability and colour parameters of beef extracts
    Authors: B. A. Oğuz, C. Sarıçoban, H. Şen Arslan
    Year: 2019
    Citations: 4

  • Title: Ultrason destekli elma atık özütlerinin bazı biyoaktif özellikleri
    Authors: H. Ş. Arslan
    Year: 2023
    Citations: 3*

  • Title: Karaman İl Merkezinde Yaşayan Halkın Bilinçli Gıda Tüketim Derecesinin Araştırılması
    Authors: S. Yerlikaya, Ş. N. Karaman, S. Tuna, H. Ş. Arslan
    Year: 2020
    Citations: 3

  • Title: Increased reactive carboxyl and free alfa-amino groups from fish type I collagen peptides by Alcalase® hydrolysis exhibit higher antibacterial and antioxidant …
    Authors: S. Yasar, H. S. Arslan, K. Akgul
    Year: 2024
    Citations: 2

Atiqur Rahman | Engineering | Best Researcher Award

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Mr. Atiqur Rahman | Engineering | Best Researcher Award

PhD Researcher from University of Bolton, United Kingdom

Md Atiqur Rahman is a passionate aerospace engineering professional with a rich background in both academia and research. Currently serving as an Engineering Lecturer at Blackpool & The Fylde College in the UK, he also pursues a Ph.D. at the University of Bolton, focusing on sustainable composite materials for aerospace applications. With over nine years of experience in aeronautical education, his expertise spans curriculum development, student mentorship, assessment, and instructional leadership. He has taught at multiple institutions including Preston College, University of Bolton, and Cambrian International College of Aviation. His research is deeply rooted in innovation, particularly in the area of natural fiber-reinforced composites, with a specific emphasis on Borassus flabellifer (palmyra palm) husk fibers. Rahman has published six research articles and actively participates in academic conferences and seminars. Known for his technical abilities and practical knowledge, he integrates tools like Ansys, SolidWorks, and Matlab in both research and teaching. Awarded Best Lecturer in 2022 and a mentor to an award-winning student in 2021, he exemplifies academic dedication. Md Rahman is committed to advancing aerospace engineering through sustainable innovations while nurturing student growth in higher education. His profile reflects a balance of scholarly excellence, practical engineering acumen, and a deep commitment to teaching.

Professional Profile

Education

Md Atiqur Rahman has pursued a solid academic trajectory in aerospace and mechanical engineering. He is currently enrolled in a Ph.D. program at the University of Bolton, United Kingdom, where his research centers on the development of natural fiber-based composite materials for aerospace applications. This research is both timely and impactful, aligning with global movements toward sustainable aviation technology. Concurrently, he completed a Master of Philosophy (MPhil R2) in Mechanical Engineering at the same institution between July 2022 and November 2024, further sharpening his expertise in advanced material science and structural mechanics. His academic foundation began with a Bachelor of Engineering (Honours) degree in Aerospace Engineering from the University of Hertfordshire, UK, which he completed in 2012. The rigorous curriculum provided him with strong fundamentals in aerodynamics, propulsion systems, and aerospace structures. Throughout his educational journey, Md Rahman has consistently demonstrated academic excellence, integrating theory with hands-on research and software simulation. His academic path underscores a clear focus on applied engineering, sustainability, and innovation. This robust combination of qualifications positions him well for continued leadership in both academia and the aerospace research community, particularly in the development and application of bio-composites and eco-friendly engineering solutions.

Professional Experience

Md Atiqur Rahman has accumulated a diverse and extensive professional background in engineering education, spanning over nine years across the UK and Bangladesh. He currently serves as an Engineering Lecturer at Blackpool & The Fylde College, where he teaches and manages students up to Level 6, designs course materials, assesses learners, and supports curriculum alignment with Lancaster University and employer standards. Previously, he worked at Preston College, teaching aeronautical engineering to students in BTEC Pearson, City & Guilds, and EAL programs. At the University of Bolton, he served as a variable-hours lecturer, contributing to module delivery, exam preparation, and student guidance. In Bangladesh, Rahman held academic and leadership roles at Cambrian International College of Aviation and United College of Aviation, Science & Management. At Cambrian, he also acted as Internal Quality Assurer (IQA), leading BTEC curriculum development and internal training for faculty. Across all institutions, he has shown excellence in teaching, curriculum design, academic support, and student engagement. His ability to adapt his instruction based on learner capabilities has significantly enhanced academic outcomes. Rahman’s teaching is enriched by his research pursuits and practical skills, creating a well-rounded, impactful educational approach that bridges theory, practice, and innovation.

Research Interests

Md Atiqur Rahman’s research interests are centered around sustainable and advanced materials for aerospace applications. His current Ph.D. work at the University of Bolton explores the development and characterization of natural fiber-reinforced polymer composites, with a particular focus on Borassus flabellifer (palmyra palm) husk fibers. He investigates their physical, thermal, mechanical, and dynamic properties to evaluate their viability as lightweight, eco-friendly alternatives to traditional aerospace materials. His broader research interest encompasses aerodynamics, structural mechanics, hypersonic flight technologies, and bio-composite development. By aligning material science with aerospace engineering, Rahman seeks to address the increasing demand for sustainability in aviation. He is particularly drawn to the lifecycle assessment of natural fibers and their transformation through alkali treatments, aiming to enhance their bonding, thermal stability, and mechanical resilience. His work has practical implications for aircraft manufacturing, structural component design, and green engineering practices. He also maintains an interest in the pedagogical methods for engineering education and how research can be translated into real-world classroom application. This multi-dimensional research approach not only contributes to the scientific community but also supports the global push for environmentally responsible aerospace solutions through academic innovation and practical application.

Research Skills

Md Atiqur Rahman possesses a well-rounded and technically proficient set of research skills that support his specialization in material science and aerospace engineering. He is highly skilled in experimental research methodologies, particularly in characterizing bio-composite materials. His hands-on expertise includes the use of advanced lab instruments such as TA Instruments (TGA, DSC, DMA) for thermal analysis, Instron for tensile and flexural testing, and FTIR spectroscopy for chemical characterization. He is also proficient in density and water uptake measurements using pycnometers and ovens, and in the preparation of composite materials through hand lay-up techniques. Rahman complements his experimental skills with strong computational abilities, using tools like Ansys for finite element analysis, SolidWorks and Fusion 360 for design modeling, and Matlab for mathematical modeling and simulations. He applies these tools to optimize material properties and validate experimental outcomes. In addition, he demonstrates strong academic writing and data interpretation skills, having authored several scientific articles. His research workflow also reflects a robust understanding of ethics, literature review, statistical analysis, and research dissemination. These combined skills allow him to carry out comprehensive investigations in aerospace material development and communicate findings effectively to both academic and industry audiences.

Awards and Honors

Md Atiqur Rahman has earned notable recognition for his excellence in both teaching and research throughout his academic career. One of his most distinguished accolades is the Best Lecturer Award (2022) from Cambrian International College of Aviation, a testament to his commitment to student engagement, curriculum innovation, and instructional excellence. His mentorship has also yielded impressive results—most notably when one of his students was selected for the BTEC Award (2021) and received the Bronze Certificate for Engineering Learner of the Year, highlighting his ability to inspire and guide learners toward excellence. In addition to institutional recognition, Rahman is affiliated with several prestigious professional bodies, including the Royal Aeronautical Society (RAeS), The Institution of Structural Engineers (IStructE), and the American Society of Civil Engineers (ASCE). His active involvement in these societies, coupled with his participation in high-profile events like the RAeS Aerodynamics Specialist Conference and Government HE Events, showcases his commitment to lifelong learning and professional development. These honors and memberships not only validate his academic contributions but also underscore his rising influence as an educator and researcher in aerospace engineering, particularly in the field of sustainable materials and advanced manufacturing technologies.

Conclusion

Md Atiqur Rahman stands as a dynamic and impactful figure in the realms of aerospace education and research. His journey—from a dedicated lecturer to an innovative Ph.D. researcher—demonstrates a rare blend of academic rigor, teaching excellence, and research innovation. His work on natural fiber-based composites is not only scientifically significant but also timely, addressing pressing environmental challenges within aerospace engineering. With a growing list of publications, conference presentations, and teaching awards, Rahman has established himself as a promising academic professional committed to excellence. His ability to bridge the gap between research and education ensures that his findings contribute directly to student learning and industry advancement. His diverse teaching experiences across different academic systems further enhance his instructional agility and global outlook. As he continues to expand his research collaborations, aim for high-impact journals, and pursue research leadership roles, his contributions will undoubtedly strengthen the field of sustainable aviation and engineering education. Md Atiqur Rahman is a deserving candidate for recognition such as the Best Researcher Award, with strong potential for continued academic and research leadership. His trajectory reflects both deep expertise and future promise in advancing environmentally responsible technologies within aerospace engineering.

Publications Top Notes

  1. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights into Its Thermal and Mechanical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 3

  2. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights into Its Physical and Chemical Properties
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski
    Year: 2024
    Citations: 3

  3. Title: Effect of Alkali Treatment on Dynamic Mechanical Properties of Borassus Flabellifer Husk Fibre Reinforced Epoxy Composites
    Authors: M.A. Rahman, Mamadou Ndiaye, Bartosz Weclawski, et al.
    Year: 2025
    Citations: 2

  4. Title: Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights into Its Morphological, Chemical and Thermal Properties after Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2024
    Citations: 2

  5. Title: Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025
    Citations: 1

  6. Title: Enhancing Thermal and Dynamic Mechanical Properties of Lignocellulosic Borassus Husk Fibre/Epoxy Composites through Alkali Treatment
    Authors: M.A. Rahman, M. Ndiaye, B. Weclawski, P. Farrell
    Year: 2025

Phani Monogya Katikireddi | Engineering | Best Innovator Award

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Mr. Phani Monogya Katikireddi | Engineering | Best Innovator Award

Cloud AI/ML Devops Engineer from USDA, United States

Phani Monogya Katikireddi is a highly accomplished IT professional with over 9.5 years of experience in Cloud AI/ML, DevOps Engineering, Full Stack Development, and Software Engineering. He specializes in integrating AI/ML technologies with scalable cloud infrastructure to develop innovative solutions that enhance business operations. His expertise spans automating workflows, designing robust CI/CD pipelines, and optimizing development lifecycles. In addition to his technical contributions, he has made significant research advancements, publishing multiple papers on AI/ML and DevOps, authoring a book on AI/ML, and securing two patents for innovative solutions. As a recognized thought leader, he serves on the editorial boards of esteemed journals, contributing to the evolution of AI/ML research. His ability to bridge the gap between research and real-world applications positions him as a leading innovator in the field.

Professional Profile

Education

Phani Monogya Katikireddi holds a strong academic background in computer science and engineering. His education has provided him with a solid foundation in AI/ML, cloud computing, and software development. Through continuous learning and advanced coursework, he has honed his expertise in machine learning, neural networks, and DevOps methodologies. His academic journey has been instrumental in shaping his innovative approach to integrating AI/ML with DevOps.

Professional Experience

With nearly a decade of experience, Phani has worked in various roles, including Cloud AI/ML DevOps Engineer and Full Stack Developer. His work has focused on designing AI-driven solutions, automating software delivery processes, and enhancing system reliability. His contributions to cloud-native architectures and intelligent automation have improved the efficiency and scalability of enterprise applications. His technical leadership and problem-solving skills have played a pivotal role in driving innovation in the IT industry.

Research Interest

Phani’s research interests lie in AI/ML, deep learning, DevOps automation, and cloud computing. He is particularly focused on integrating AI with DevOps to enhance software development and deployment processes. His work explores predictive modeling, machine learning pipeline automation, and the impact of AI on system performance and scalability. His research aims to bridge the gap between theoretical advancements and real-world applications in enterprise IT.

Research Skills

Phani possesses strong research skills, including AI/ML algorithm development, neural network optimization, cloud infrastructure management, and DevOps automation. He is adept at conducting experimental research, data analysis, and model validation. His ability to translate research findings into practical solutions has contributed to advancements in AI-driven automation. He also has experience in publishing research papers and collaborating with industry experts to push the boundaries of AI/ML and DevOps.

Awards and Honors

Phani has received notable recognition for his contributions to AI/ML and DevOps. He holds two patents for AI/ML innovations and has authored a well-regarded book on the subject. His research papers have been published in prestigious journals, and he actively participates as an editorial board member. His expertise and contributions to the field have positioned him as a distinguished professional and innovator.

Conclusion

Phani Monogya Katikireddi is a visionary IT professional with a passion for innovation in AI/ML and DevOps. His extensive experience, research contributions, and technical expertise make him a strong candidate for recognition as a leading innovator in the field. His ability to merge academic research with practical applications has had a profound impact on software development and cloud computing. His dedication to advancing AI/ML and DevOps positions him as a key contributor to technological progress and industry transformation.

Publications Top Notes

  1. Revolutionizing DEVOPS with Quantum Computing: Accelerating CI/CD pipelines through Advanced Computational Techniques

    • Authors: PM Katikireddi, P Singirikonda, Y Vasa

    • Year: 2021

  2. Music and Art Generation Using Generative AI

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  3. Applications of Generative AI in Healthcare

    • Authors: S Jaini, PM Katikireddi

    • Year: 2022

  4. In Generative AI: Zero-Shot and Few-Shot

    • Authors: PM Katikireddi, S Jaini

    • Year: 2022

 

Zahra Kazemi | Mechanical Engineering | Best Researcher Award

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Dr. Zahra Kazemi | Mechanical Engineering | Best Researcher Award

Assistant Professor from Shiraz University of Technology, Iran

Dr. Zahra Kazemi is an Assistant Professor in the Department of Mechanical Engineering at Shiraz University of Technology. She holds a Ph.D. in Mechanical Engineering from Shiraz University and has completed two postdoctoral research fellowships. Her research primarily focuses on advanced manufacturing processes, including Selective Laser Melting (SLM), Laser Powder Bed Fusion (LPBF), and computational modeling for material and load identification. She has published extensively in high-impact journals and has presented her work at various international conferences. Her contributions to numerical simulations and optimization methods have significantly advanced the understanding of defect reduction and material behavior in additive manufacturing. With strong expertise in experimental and computational methods, Dr. Kazemi continues to contribute to the field through interdisciplinary research and collaboration.

Professional Profile

Education

Dr. Kazemi completed her Bachelor’s and Master’s degrees in Mechanical Engineering before earning her Ph.D. from Shiraz University. During her doctoral studies, she specialized in computational modeling and inverse analysis for material behavior prediction. Following her Ph.D., she pursued postdoctoral research, focusing on precision instrumentation design and optimization of advanced manufacturing processes such as SLM. Her academic journey has equipped her with a strong foundation in numerical simulations, experimental validation, and optimization techniques for industrial applications.

Professional Experience

Dr. Kazemi has held academic and research positions in mechanical engineering, focusing on additive manufacturing and numerical modeling. She is currently an Assistant Professor at Shiraz University of Technology, where she teaches undergraduate and graduate courses while conducting advanced research. She has also worked as a postdoctoral researcher, contributing to the development of precision instruments and optimization of laser-based manufacturing techniques. Her professional experience includes supervising research projects, mentoring students, and collaborating with experts in computational mechanics, thermal engineering, and materials science.

Research Interests

Dr. Kazemi’s research interests include additive manufacturing, computational modeling, inverse analysis, and material behavior prediction. She is particularly focused on enhancing the performance of metal structures manufactured using SLM through simulation and experimental validation. Additionally, her work on load and material identification using inverse analysis contributes to the accurate characterization of viscoplastic materials. She is also interested in applying machine learning techniques to optimize manufacturing processes and reduce defects in industrial applications.

Research Skills

Dr. Kazemi possesses strong expertise in numerical simulations, finite element analysis, and computational mechanics. She is proficient in using advanced software tools for modeling and optimization of manufacturing processes. Her skills extend to experimental validation techniques, including thermal and structural analysis of manufactured components. She is also experienced in meshfree analysis methods, load identification techniques, and optimization strategies for material design. With a background in interdisciplinary research, she effectively integrates computational and experimental approaches to improve engineering solutions.

Awards and Honors

Dr. Kazemi has received recognition for her contributions to mechanical engineering through awards and conference presentations. She has been acknowledged for her research excellence in additive manufacturing and material optimization. Her work has been published in leading journals, and she has received invitations to speak at international conferences. She has also been involved in collaborative projects that have been recognized for their impact on manufacturing innovation and computational analysis.

Conclusion

Dr. Zahra Kazemi is a distinguished researcher in mechanical engineering, specializing in additive manufacturing and computational modeling. With a strong academic background, extensive publication record, and expertise in numerical and experimental research, she continues to contribute significantly to her field. Her dedication to advancing manufacturing techniques and material analysis positions her as a valuable asset to the academic and research community. By expanding her collaborations, securing research funding, and further developing industrial applications of her work, she can further enhance her impact in mechanical engineering and beyond.

Publications Top Notes

  1. Title: Melting process of the nano-enhanced phase change material (NePCM) in an optimized design of shell and tube thermal energy storage (TES): Taguchi optimization approach
    Authors: M. Ghalambaz, S.A.M. Mehryan, A. Veismoradi, M. Mahdavi, I. Zahmatkesh, …
    Year: 2021
    Citations: 72

  2. Title: Meshfree radial point interpolation method for analysis of viscoplastic problems
    Authors: Z. Kazemi, M.R. Hematiyan, R. Vaghefi
    Year: 2017
    Citations: 30

  3. Title: Melting pool simulation of 316L samples manufactured by Selective Laser Melting method, comparison with experimental results
    Authors: Z. Kazemi, M. Soleimani, H. Rokhgireh, A. Nayebi
    Year: 2022
    Citations: 25

  4. Title: Optimum configuration of a metal foam layer for a fast thermal charging energy storage unit: a numerical study
    Authors: S.A.M. Mehryan, K.A. Ayoubloo, M. Mahdavi, O. Younis, Z. Kazemi, M. Ghodrat, …
    Year: 2022
    Citations: 18

  5. Title: Load identification for viscoplastic materials with some unknown material parameters
    Authors: Z. Kazemi, M.R. Hematiyan, Y.C. Shiah
    Year: 2019
    Citations: 18

  6. Title: An efficient load identification for viscoplastic materials by an inverse meshfree analysis
    Authors: Z. Kazemi, M.R. Hematiyan, Y.C. Shiah
    Year: 2018
    Citations: 12

  7. Title: Inverse determination of time-dependent loads in viscoplastic deformations using strain measurements in the deformed configuration
    Authors: Z. Kazemi, M.R. Hematiyan
    Year: 2018
    Citations: 4

  8. Title: A Multiobjective Optimization of Laser Powder Bed Fusion Process Parameters to Reduce Defects by Modified Taguchi Method
    Authors: Z. Kazemi, R. Nayebi, A. M. Hojjatollah, M. Soleimani
    Year: 2025

  9. Title: تحلیل کانال پسا برای یک بالانس داخلی تونل باد با در نظر گرفتن قابلیت ساخت‎
    Authors: زهرا کاظمی، محمدحسن منتظری، محمد مهدی علیشاهی‎
    Year: 2024

  10. Title: Residual Stress of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: Z. Kazemi, H. Rokhgireh, A. Nayebi
    Year: 2023

  11. Title: Selective Laser Melting Defects: Morphology of Defects Due to Lack of Fusion and Evaporation Pores
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

  12. Title: Residual Stress of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

  13. Title: The Effect of Process Parameters on the Residual Deformation of 316L Samples Manufactured by Selective Laser Melting Method with Consideration of Evaporation
    Authors: A.N. Zahra Kazemi, Hojjatollah Rokhgireh
    Year: 2023

 

Sandeep Belidhe | Engineering | Best Innovation Award

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Mr. Sandeep Belidhe | Engineering | Best Innovation Award

DevSecOps Engineer at Sparksoft Corp, United States

Sandeep Belidhe is a highly experienced IT professional with over 10.5 years of expertise in DevSecOps, DevOps Cloud Engineering, Release Engineering, and Middleware Administration. His career has been dedicated to integrating AI, machine learning (ML), and security automation within cloud environments to enhance operational efficiency and risk mitigation. Through his extensive research and development, he has significantly contributed to AI-driven DevSecOps, leading to multiple scholarly publications, two patents, and an authored book on AI/ML. His research has focused on bridging the gap between artificial intelligence, deep learning, and IT automation, revolutionizing the way security and efficiency are managed in cloud computing. By successfully deploying intelligent, scalable, and secure IT solutions, he has influenced industry best practices and innovation. Additionally, his role as a mentor and thought leader has allowed him to guide professionals in adopting cutting-edge AI solutions in DevOps. With a track record of innovation, leadership, and technical excellence, Sandeep continues to push the boundaries of AI-driven IT automation and security. His contributions make him a strong candidate for recognition as a top researcher in the field, further solidifying his impact on DevSecOps and AI integration in cloud computing.

Professional Profile

Education

Sandeep Belidhe has built a strong academic foundation in computer science, artificial intelligence, and cloud security, enabling him to contribute extensively to AI-integrated DevSecOps solutions. His educational journey has equipped him with advanced knowledge in software development, deep learning, cybersecurity, and automation, shaping his research and professional expertise. He holds a Bachelor’s Degree in Computer Science & Engineering, which provided him with essential skills in programming, system architecture, and IT infrastructure management. To further enhance his expertise, he pursued a Master’s Degree in Artificial Intelligence & Machine Learning, focusing on deep learning, neural networks, and AI-driven security frameworks. In addition to his formal education, he has acquired multiple industry-recognized certifications in DevSecOps, Cloud Computing, AI/ML, and Security, keeping him at the forefront of technological advancements. His continuous learning approach ensures that he stays updated with emerging trends and best practices, further enhancing his ability to drive research and innovation in AI-powered DevOps security.

Professional Experience

Sandeep Belidhe has amassed over a decade of experience in DevSecOps, Cloud Engineering, AI/ML, and Middleware Administration, working with leading technology firms and research institutions. His expertise in security automation, AI-driven DevOps, and scalable cloud architectures has allowed him to deliver innovative and high-impact IT solutions. Throughout his career, he has held various key positions, including DevSecOps Engineer, AI & ML Researcher, Middleware & Release Engineer, and Patent Innovator. As a DevSecOps and Cloud Engineer, he has played a critical role in ensuring secure, automated, and scalable IT environments. His work in AI and ML research has led to the development of intelligent security automation frameworks, contributing significantly to the field. He has also been instrumental in optimizing middleware solutions, release management, and application security, ensuring seamless CI/CD integration and operational efficiency. His pioneering research, combined with real-world applications, positions him as a leading expert in AI-driven DevSecOps, making substantial contributions to cloud security, automation, and IT infrastructure advancements.

Research Interest

Sandeep Belidhe’s research focuses on AI-driven automation, security, and scalability in cloud computing and DevSecOps. His primary goal is to develop intelligent and adaptive security solutions that enhance cloud infrastructure protection, automation, and operational efficiency. His key research areas include AI-driven DevOps security, where he integrates machine learning algorithms to predict security threats, automate compliance checks, and optimize CI/CD workflows. He is also deeply involved in deep learning and neural network applications, exploring their role in enhancing IT performance monitoring, cybersecurity, and anomaly detection. Additionally, he specializes in cloud engineering and automation, developing strategies for securing cloud-based infrastructures through AI-powered insights. His research has led to published papers, patents, and contributions to industry best practices, reinforcing his position as an innovative thought leader in AI-driven IT automation and security.

Research Skills

Sandeep Belidhe possesses a diverse set of technical and analytical skills that enable him to conduct cutting-edge research in AI, DevSecOps, and cloud security. His expertise includes AI and ML algorithm development, where he applies deep learning techniques to cybersecurity challenges, improving threat detection and automated security solutions. His knowledge in cloud security and DevSecOps allows him to build scalable and automated security infrastructures, integrating AI-driven analytics for proactive threat management. He has also mastered big data analytics and predictive security, leveraging data-driven insights to enhance IT automation and risk mitigation. Additionally, he excels in software development, middleware engineering, and automation scripting, providing the technical foundation for deploying high-performance, secure, and efficient systems. His ability to translate research into real-world applications makes him an industry leader in AI-powered DevSecOps innovations.

Awards and Honors

Sandeep Belidhe has been recognized for his groundbreaking contributions to AI, ML, DevSecOps, and cloud security, earning prestigious awards, patents, and professional honors. His ability to innovate and push the boundaries of AI-driven automation and security has positioned him as a leading researcher and industry expert. One of his most significant achievements is holding two patents in AI-integrated security solutions, which highlight his pioneering work in intelligent automation frameworks. Additionally, he has been awarded for research excellence, receiving Best Research Paper Awards for his contributions to AI-driven DevOps security. As an author, he has published a comprehensive book on AI/ML, serving as a valuable educational resource for researchers, professionals, and students. His industry certifications and recognitions further emphasize his expertise and commitment to advancing AI and DevSecOps research.

Conclusion

Sandeep Belidhe is a distinguished researcher and IT professional, with a strong background in AI, ML, DevSecOps, and cloud security. His 10.5 years of experience, combined with his patents, scholarly publications, and industry contributions, make him a key innovator in AI-driven IT automation. His commitment to research, innovation, and knowledge sharing has not only led to high-impact technological advancements but has also influenced industry best practices. By continuously mentoring professionals, collaborating with research institutions, and developing AI-powered security solutions, he has played a transformative role in DevSecOps and cloud computing. Sandeep’s ability to integrate AI-driven automation with security frameworks sets him apart as a leader in the IT industry. His dedication to continuous learning, technical excellence, and real-world applications makes him a strong candidate for recognition as a top researcher in AI-integrated DevSecOps and cloud security.

Publications Top Notes

  1. Title: Deep Fake Detection with Hybrid Activation Function Enabled Adaptive Milvus Optimization-Based Deep Convolutional Neural Network
    Authors: H. Mashetty, N. Erukulla, S. Belidhe, N. Jella, V. Reddy Pishati, B.K. Enesheti
    Year: 2025

  2. Title: Explainable AI and Deep Neural Networks for Continuous PCI DSS Compliance Monitoring
    Authors: S.K.D. Sandeep Belidhe, Phani Monogya Katikireddi
    Year: 2024

  3. Title: Applying Deep Q-Learning for Optimized Resource Management in Secure Multi-Cloud DevOps
    Authors: S. Belidhe
    Year: 2022

  4. Title: AI-Driven Governance for DevOps Compliance
    Authors: S. Belidhe
    Year: 2022

  5. Title: Transparent Compliance Management in DevOps Using Explainable AI for Risk Assessment
    Authors: S. Belidhe
    Year: 2022

  6. Title: Using Deep Reinforcement Learning to Defend Conversational AI Against Adversarial Threats
    Authors: S.K.D. Phani Monogya Katikireddi, Sandeep Belidhe
    Year: 2021

  7. Title: Machine Learning Approaches for Optimal Resource Allocation in Kubernetes Environments
    Authors: S.B. Sandeep Kumar Dasa, Phani Monogya Katikireddi
    Year: 2021

  8. Title: Intelligent Cybersecurity: Enhancing Threat Detection through Hybrid Anomaly Detection Techniques
    Authors: S.B. Phani Monogya Katikireddi, Sandeep Kumar Dasa
    Year: 2021

  9. Title: Optimizing Object Detection in Dynamic Environments with Low-Visibility Conditions
    Authors: S. Belidhe, S.K. Dasa, S. Jaini

Ali Nawaz Sanjrani | Engineering | Best Researcher Award

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Assist. Prof. Dr Ali Nawaz Sanjrani | Engineering | Best Researcher Award

Assistant Professor at University of Electronic Science and Technology of China

Dr. Ali Nawaz Sanjrani is a highly accomplished mechanical engineer and academic with over 18 years of interdisciplinary experience in project management, reliability, quality assurance, and health and safety systems. He holds a PhD in Mechanical Engineering from the University of Electronics Science and Technology, China, and specializes in reliability monitoring, diagnostics, and prognostics of complex machinery. Dr. Sanjrani has a strong background in advanced manufacturing processes, lean manufacturing, and machine learning applications in engineering systems. He has served as an Assistant Professor at Mehran University of Engineering and Technology and has contributed significantly to both academia and industry. His research focuses on fluid dynamics, heat transfer, and predictive maintenance using AI-driven models. Dr. Sanjrani has published extensively in high-impact journals and conferences, earning recognition for his innovative approaches to engineering challenges. He is a certified lead auditor in ISO and OHSAS standards and a member of the Pakistan Engineering Council.

Professional Profile

Education

Dr. Ali Nawaz Sanjrani earned his PhD in Mechanical Engineering from the University of Electronics Science and Technology, Chengdu, China, with a CGPA of 3.89/4. His doctoral research focused on reliability monitoring, diagnostics, and prognostics of complex machinery. He completed his M.Engg. in Industrial Manufacturing from NED University, Karachi, with a CGPA of 3.04/4, specializing in lean manufacturing. His undergraduate degree in Mechanical Engineering was obtained from QUEST, Nawabshah, with an aggregate of 70%, specializing in mechanical manufacturing and materials. Throughout his academic journey, Dr. Sanjrani studied advanced courses such as Finite Element Analysis (FEA), Computer-Aided Manufacturing (CAM), Operations Research (OR), and Agile & Lean Manufacturing. His education has equipped him with a strong foundation in both theoretical and practical aspects of mechanical and industrial engineering, enabling him to excel in research, teaching, and industry applications.

Professional Experience 

Dr. Ali Nawaz Sanjrani has over 18 years of professional experience spanning academia, research, and industry. He served as an Assistant Professor at Mehran University of Engineering and Technology, SZAB Campus, from 2016 to 2020, where he specialized in fluid dynamics, heat transfer, and machine learning applications. Prior to this, he worked as a Lecturer at the same institution and as a visiting faculty member at INDUS University, Karachi. In the industry, Dr. Sanjrani was an Engineer in Quality Assurance and Quality Control at DESCON Engineering Works Limited, Lahore, from 2006 to 2011. His roles included implementing ISO standards, conducting audits, and ensuring quality and safety compliance. Dr. Sanjrani has also led research projects in predictive maintenance, reliability engineering, and lean manufacturing, bridging the gap between academic theory and industrial practice. His expertise in project management and integrated management systems has made him a valuable asset in both academic and professional settings.

Awards and Honors

Dr. Ali Nawaz Sanjrani has received numerous accolades for his academic and professional excellence. He was awarded the 3rd Prize in Academic Excellence and Performance Excellence at the University of Electronics Science and Technology, Chengdu, China, in 2024. He secured a fully funded Chinese Government Scholarship (CSC) for his PhD studies in 2020. Dr. Sanjrani was also recognized with an Appreciation Certificate from Karachi Shipyard & Engineering Works for achieving ISO certifications (QMS, EMS, OH&SMS) in 2011. His innovative approach to dismantling a luffing crane earned him an Appreciation Letter from the Managing Director of KSEW in 2013. Additionally, Dr. Sanjrani has been acknowledged for his research contributions through publications in high-impact journals and presentations at international conferences. His achievements reflect his dedication to advancing engineering knowledge and applying it to real-world challenges.

Research Interests

Dr. Ali Nawaz Sanjrani’s research interests lie at the intersection of mechanical engineering, machine learning, and reliability engineering. He specializes in predictive maintenance, diagnostics, and prognostics of complex machinery, particularly in high-speed trains and industrial systems. His work focuses on developing AI-driven models, such as LSTM networks and neural networks, for fault diagnosis and residual life prediction. Dr. Sanjrani is also deeply involved in fluid dynamics, heat transfer, and energy systems, exploring advanced manufacturing processes and lean manufacturing techniques. His research extends to renewable energy systems, including solar power and biogas utilization, as well as dynamic power management in microgrids. By integrating machine learning with traditional engineering practices, Dr. Sanjrani aims to enhance system reliability, efficiency, and sustainability. His interdisciplinary approach bridges the gap between theoretical research and practical applications, making significant contributions to both academia and industry.

Research Skills

  • Machine Learning & AI: Neural Networks, LSTM, Predictive Modeling, Fault Diagnosis.
  • Reliability Engineering: Prognostics, Diagnostics, Residual Life Prediction.
  • Fluid Dynamics & Heat Transfer: Modeling, Simulation, and Analysis.
  • Advanced Manufacturing: Lean Manufacturing, FEA, CAM, Agile Processes.
  • Renewable Energy Systems: Solar Power, Biogas, Microgrids.
  • Software Proficiency: Python, MATLAB, SolidWorks, Auto CAD, FEA Tools.
  • Certifications: ISO 9001, ISO 14001, OHSAS 18001 Lead Auditor.

Conclusion

Dr. Ali Nawaz Sanjrani is a distinguished mechanical engineer and academic with a proven track record in research, teaching, and industry. His expertise in reliability engineering, machine learning, and advanced manufacturing has led to significant contributions in predictive maintenance and system optimization. With numerous publications, awards, and certifications, Dr. Sanjrani continues to push the boundaries of engineering knowledge, applying innovative solutions to real-world challenges. His interdisciplinary approach and dedication to excellence make him a valuable asset in both academic and professional settings.

Publication Top Notes

  1. Ali Nawaz1 – RHSA Based Hybrid Prognostic Model for Predicting Residual Life of Bearing: A Novel Approach – Mechanical Systems and Signal Processing – To be published.
  2. Ali Nawaz1 – Multiparametric Dual Task Multioutput Artificial Neural Network Model for Bearing Fault Diagnosis and Residual Life Prediction in High-Speed Trains – IEEE Transaction of Reliability – To be published.
  3. Ali Nawaz1 – Advanced Learning Interferential ALI-Former: A Novel Approach for Live and Reliable High-Speed Train Bearing Fault Diagnosis – Neural Computing and Applications – To be published.
  4. Ali Nawaz Sanjrani1 – High-Speed Train Bearing Health Assessment Based on Degradation Stages Through Diagnosis and Prognosis by Using Dual-Task LSTM With Attention Mechanism – Quality and Reliability Engineering International Journal WILEY – 2025.
  5. Ali Nawaz Sanjrani3 – Dynamic Temporal LSTM-Seqtrans for Long Sequence: An Approach for Credit Card and Banking Accounts Fraud Detection in Banking System – 2024 21st International Computer Conference on Wavelet Active Media Technology and Information Processing – 2025.
  6. Ali Nawaz Sanjrani1 – High-speed train wheel set bearing analysis: Practical approach to maintenance between end of life and useful life extension assessment – Results in Engineering – 2025.
  7. Ali Nawaz Sanjrani5 – Advanced dynamic power management using model predictive control in DC microgrids with hybrid storage and renewable energy sources – Journal of Energy Storage – 2025.
  8. Ali Nawaz Sanjrani1 – High-Speed Train Health Assessment Based on Degradation Stages and Fault Classification by using Dual Task LSTM with Attention Mechanism – 2024 6th International Conference on System Reliability and Safety Engineering – 2024.
  9. A.N. Sanjrani – A C-band Sheet Beam Staggered Double Grating Extended Interaction Oscillator – 2024 IEEE International Conference on Plasma Science (ICOPS) – 2024.
  10. Ali Nawaz1 – Bearing Health and Safety Analysis to improve the reliability and efficiency of Horizontal Axis Wind Turbine (HAWT) – ESREL 2023 – 2023.
  11. Ali Nawaz2 – Prediction of Remaining Useful Life of Bearings using a Parallel Neural Network – ESREL 2023 – 2023.
  12. Ali Nawaz Sanjrani2 – Performance Improvement through Lean System Case study of Karachi Shipyard & Engineering Works – IEIM 2024 – 2023.
  13. Ali Nawaz Sanjrani3 – Dynamic Performance of Partially Orifice Porous Aerostatic Thrust Bearing – Micromachines – 2021.
  14. Sanjrani; Ali Nawaz2 – Performance Evaluation of Mono Crystalline Silicon Solar Panels in Khairpur, Sind, Pakistan – JOJ Material Science – 2017.
  15. A. N. Sanjrani1 – Utilization of Biogas using Portable Biogas Anaerobic Digester in Shikarpur and Sukkur Districts: A case study – Pakistan Journal of Agriculture Engineering Veterinary Science – 2017.
  16. A. N. Sanjrani1 – Lean Manufacturing for Minimization of Defects in the Fabrication Process of Shipbuilding: A case study – Australian Journal of Engineering and Technology Research – 2017.

 

Mahmoud Ghazavi | Engineering | Scientific Excellence Achievement Award

Posted on by ScienceFather

Prof. Mahmoud Ghazavi | Engineering | Scientific Excellence Achievement Award

Geotechnical Engineering at K N Toosi University of Technology, 

Professor Mahmoud Ghazavi is a distinguished figure in geotechnical engineering, currently serving as a faculty member at the Faculty of Civil Engineering, K. N. Toosi University of Technology in Tehran, Iran. With a career spanning several decades, he has made significant contributions to both academia and industry. His research interests encompass a wide range of topics within geotechnical engineering, including soil mechanics, foundation engineering, and soil reinforcement techniques. Professor Ghazavi’s dedication to advancing the field is evident through his extensive publication record and his active involvement in supervising graduate students. His work has not only enriched academic literature but has also provided practical solutions to complex engineering challenges.

Professional Profile

Education

Professor Ghazavi’s academic journey began with a Bachelor of Science (BSc) and Master of Science (MSc) in Civil Engineering from the University of Tehran, completed in 1987. He furthered his education by obtaining a Ph.D. in Geotechnical Engineering from the University of Queensland, St Lucia, Brisbane, Australia, in July 1997. His doctoral research focused on the “Static and Dynamic Analysis of Piled Foundations,” laying the groundwork for his future endeavors in foundation engineering and soil dynamics. This solid educational foundation has been instrumental in shaping his research trajectory and teaching philosophy.

Professional Experience

Professor Ghazavi’s professional career is marked by progressive academic appointments. He began as an Assistant Professor in Geotechnical Engineering at Isfahan University of Technology from 1997 to 2002. He then joined K. N. Toosi University of Technology, where he served as an Assistant Professor from 2002 to 2005, Associate Professor from 2005 to 2013, and has been a full Professor since 2013. In addition to his teaching roles, he has held various administrative positions, including Deputy for Research and Coordinator of Postgraduate Studies, contributing to the academic and administrative growth of the institutions he has been affiliated with.

Research Interests

Professor Ghazavi’s research interests are diverse and encompass several critical areas within geotechnical engineering. He has extensively explored soil reinforcement techniques, particularly the use of waste materials such as tire shreds to enhance soil properties. His work on the behavior of shallow and deep foundations under static and dynamic loading conditions has provided valuable insights into foundation design. Additionally, he has investigated the stability of slopes reinforced with stone columns and the application of probabilistic analyses in geomechanics. His commitment to addressing contemporary engineering challenges is evident through his innovative research projects and collaborations.

Research Skills

Throughout his career, Professor Ghazavi has honed a comprehensive set of research skills. He is proficient in both experimental and numerical modeling techniques, enabling him to analyze complex geotechnical problems effectively. His expertise in soil mechanics and foundation engineering is complemented by his ability to apply probabilistic and statistical methods to assess geotechnical uncertainties. Moreover, his experience in supervising over 120 MSc and 20 Ph.D. students has refined his mentorship abilities, fostering a collaborative research environment. His active participation in editorial boards and peer-review processes further underscores his critical evaluation skills and commitment to academic excellence.

Awards and Honors

Professor Ghazavi’s contributions have been recognized through various accolades. Notably, he has been ranked among the world’s top 2% of scientists from 2020 to 2023, a testament to his impactful research and scholarly influence. His role as Chief Editor of the Journal of Experimental Research in Civil Engineering and membership on several editorial boards highlight his standing in the academic community. These honors reflect his dedication to advancing geotechnical engineering and his influence as a thought leader in the field.

Conclusion

In summary, Professor Mahmoud Ghazavi’s illustrious career is characterized by a harmonious blend of teaching, research, and professional service. His unwavering commitment to geotechnical engineering has led to significant advancements in both theoretical understanding and practical applications. Through his mentorship, he has shaped the careers of numerous engineers and researchers, ensuring the continued growth and evolution of the field. Professor Ghazavi’s work stands as a testament to the profound impact that dedicated educators and researchers can have on society and the engineering profession.

Publication Top Notes

  • “The influence of freeze–thaw cycles on the unconfined compressive strength of fiber-reinforced clay”

    • Authors: M. Ghazavi, M. Roustaie
    • Year: 2010
    • Citations: 293

  • “Bearing capacity of geosynthetic encased stone columns”

    • Authors: M. Ghazavi, J.N. Afshar
    • Year: 2013
    • Citations: 287

  • “Interference effect of shallow foundations constructed on sand reinforced with geosynthetics”

    • Authors: M. Ghazavi, A.A. Lavasan
    • Year: 2008
    • Citations: 225

  • “Influence of optimized tire shreds on shear strength parameters of sand”

    • Authors: M. Ghazavi, M.A. Sakhi
    • Year: 2005
    • Citations: 214

  • “Shear strength characteristics of sand-mixed with granular rubber”

    • Authors: M. Ghazavi
    • Year: 2004
    • Citations: 199

  • “Numerical study on stability analysis of geocell reinforced slopes by considering the bending effect”

    • Authors: I. Mehdipour, M. Ghazavi, R.Z. Moayed
    • Year: 2013
    • Citations: 159

  • “Behavior of closely spaced square and circular footings on reinforced sand”

    • Authors: A.A. Lavasan, M. Ghazavi
    • Year: 2012
    • Citations: 134

  • “Effects of freeze–thaw cycles on a fiber reinforced fine grained soil in relation to geotechnical parameters”

    • Authors: M. Roustaei, A. Eslami, M. Ghazavi
    • Year: 2015
    • Citations: 123

  • “Freeze–thaw performance of clayey soil reinforced with geotextile layer”

    • Authors: M. Ghazavi, M. Roustaei
    • Year: 2013
    • Citations: 116

  • “Influence of nano-SiO2 on geotechnical properties of fine soils subjected to freeze-thaw cycles”

    • Authors: A. Kalhor, M. Ghazavi, M. Roustaei, S.M. Mirhosseini
    • Year: 2019
    • Citations: 103