Tag: Best Researcher Award

Nayara Bucair, Marine Science, Best Researcher Award

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Doctorate Nayara Bucair: PhD at University of São Paulo, Brazil

Nayara Bucair is a passionate marine scientist and conservationist with expertise in oceanography, environmental sustainability, and the study of marine megafauna, particularly mobulid rays. She combines fieldwork, underwater photography, and advanced data analysis to investigate species distribution, behavior, and taxonomy. Nayara’s work contributes to marine biodiversity conservation efforts, focusing on Brazilian and Atlantic Ocean ecosystems, and she is committed to raising awareness about the threats these species face.

Online Profiles

ORCID Profile

Nayara maintains active online profiles on professional and academic platforms such as ResearchGate and LinkedIn, where she shares her research findings, publications, and project updates. She collaborates closely with conservation organizations like the Marine Megafauna Foundation and Projeto Mantas do Brasil. These platforms allow her to connect with other researchers, engage in scientific discourse, and contribute to global marine conservation initiatives.

Education

Nayara holds a Bachelor’s degree in Oceanography from the Federal University of Rio Grande, Brazil (2005–2010), where she developed strong foundations in marine sciences, data collection, and ecological studies. In 2021, she completed a Post-graduate program in Environment and Sustainability at Fundação Getúlio Vargas, Brazil, accumulating 432 hours of specialized coursework focused on environmental policies, sustainable development, and ecological impact assessment.

Research Focus

Her research primarily centers on the taxonomy, ecology, and conservation of marine megafauna, with an emphasis on mobulid rays such as manta and devil rays. Nayara uses integrative approaches combining field observations, genetic analysis, and spatial modeling to better understand species diversity, behavior, and the effects of human activities. Her work supports the development of conservation strategies and marine protected areas.

Experience

Nayara’s professional experience spans several roles including Research Assistant at the Marine Megafauna Foundation in Mozambique (2017), where she participated in field data collection and species monitoring. From 2015 to 2017, she managed underwater photography projects at All Angle Images in Fernando de Noronha, Brazil, documenting marine biodiversity. In 2020, she volunteered as a researcher in European Copernicus environmental programs focused on remote sensing and water quality assessment. Throughout her career, Nayara has combined scientific research with practical conservation efforts.

Research Timeline

Since 2015, Nayara has been actively engaged in marine megafauna research and conservation projects in Brazil and Mozambique. She contributed to data collection, analysis, and publication of scientific articles that have influenced marine biodiversity conservation policies. From fieldwork and photographic documentation to publishing peer-reviewed studies, her work has consistently advanced the understanding of mobulid ray species and their habitats.

Awards & Honors

Nayara has earned recognition within the marine science community for her contributions to the study and conservation of marine megafauna. While specific awards are not detailed here, her work has been featured in reputable international journals, and she has received support and collaborations from leading conservation NGOs, reflecting her standing in the field.

Top-Noted Publication

Her 2025 publication, “An integrative taxonomy investigation unravels a cryptic species of Mobula Rafinesque, 1810 (Mobulidae, Myliobatiformes), from the Atlantic Ocean,” published in Environmental Biology of Fishes, stands out as a landmark study. This research sheds light on previously unrecognized species diversity within mobulid rays, providing crucial information for taxonomy and conservation efforts, and showcasing Nayara’s role in advancing marine biodiversity knowledge.

  • An integrative taxonomy investigation unravels a cryptic species of Mobula Rafinesque, 1810 (Mobulidae, Myliobatiformes), from the Atlantic Ocean
    Environmental Biology of Fishes (2025)
    DOI: 10.1007/s10641-025-01727-2
    This study reveals a previously unknown cryptic species within the Mobula genus in the Atlantic Ocean, using integrative taxonomic methods combining morphology and genetics. Contributors include Nayara Bucair, Silvia Hinojosa-Alvarez, Andrea Denise Marshall, and others.

  • Occurrence, distribution and threats to mobulid rays in Brazil: A review and updated database
    Aquatic Conservation: Marine and Freshwater Ecosystems (2024)
    DOI: 10.1002/aqc.4203
    This comprehensive review updates the distribution records and conservation status of mobulid rays in Brazilian waters, highlighting ongoing threats. Authors include Bucair, Mendonça, Santos, and colleagues.

  • Opportunistic sightings of manta rays on Brazil’s Amazon Coast
    Journal of Fish Biology (2024)
    DOI: 10.1111/jfb.15593
    Documenting rare manta ray sightings on the Amazon Coast, this article expands knowledge of their range and behavior in understudied regions. Contributors include Bucair, Dias, Nunes, and others.

  • The complete mitochondrial genome of the endangered Atlantic Pygmy Devil Ray, Mobula hypostoma (Bancroft, 1831), from Brazil
    Molecular Biology Reports (2024)
    DOI: 10.1007/s11033-024-09982-9
    This research presents the full mitochondrial genome sequencing of Mobula hypostoma, providing valuable genetic data for conservation efforts. Contributors include Nayara Bucair, Amana Garrido, Kátia Capel, and others.

  • Evidence of mating scars in female tiger sharks (Galeocerdo cuvier) at the Fernando de Noronha Archipelago, Brazilian Equatorial Atlantic
    Environmental Biology of Fishes (2023)
    DOI: 10.1007/s10641-022-01380-z
    This paper documents physical evidence of mating behavior in female tiger sharks, offering insights into reproductive biology. Contributors include Bianca S. Rangel, André S. Afonso, Nayara Bucair, and others.

Suraj Kumar Rajbhar, Engineering, Best Researcher Award

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Doctorate Suraj Kumar Rajbhar: Ph.D Research scholar at Indian Institute of Technology (Indian School of Mines) Dhanbad, India

Suraj Kumar Rajbhar is a motivated Ph.D. Research Scholar at the Indian Institute of Technology (Indian School of Mines) specializing in Electrical Engineering with a focus on Power Systems. He holds a Master of Technology degree in Power Systems from the National Institute of Technology Silchar, Assam. With a strong foundation in power system operation and control, Suraj combines academic rigor with three years of hands-on experience in terminal automation systems, driving innovations in power system optimization and reactive power management. His research contributions aim to improve the efficiency, reliability, and sustainability of modern electrical grids.

Online Profiles

Scopus Profile

Suraj actively engages with the global academic and engineering community through his LinkedIn profile, where he shares insights on power system optimization and connects with peers and industry experts. His profile includes detailed descriptions of his research projects, publications, and conference presentations.

Suraj Kumar Rajbhar is affiliated with the Indian Institute of Technology (Indian School of Mines), Dhanbad, India. He is indexed in Scopus with the author ID 58982723300. Currently, Suraj has 3 documents listed under his profile, with citations yet to be accrued, reflecting the emerging nature of his research career. His scholarly contributions are poised to impact the field of power system optimization and control as he continues to publish and present in high-quality international venues.

Education

Suraj earned his Master of Technology degree in Power Systems from the prestigious National Institute of Technology Silchar, graduating in November 2022 with distinction. His M.Tech thesis focused on power system optimization techniques. He is currently pursuing a Ph.D. at the Indian Institute of Technology (Indian School of Mines), where he continues to deepen his expertise in power system operation, control strategies, and reactive power planning, aiming to contribute original research that addresses current challenges in electrical power engineering.

Research Focus

Suraj’s research is centered on enhancing the operation and control of power systems, with a particular focus on optimizing power flow and managing reactive power for improved system stability and efficiency. He specializes in developing metaheuristic algorithms and advanced optimization techniques, such as the Crow Search Algorithm and Rao Algorithm, to address complex power dispatch challenges involving multi-type Flexible AC Transmission Systems (FACTS) devices. His work seeks to provide practical solutions that ensure grid reliability and support sustainable energy integration.

Experience

With over three years of experience in terminal automation systems, Suraj brings practical engineering insights to his academic research. During his M.Tech program, he served as a research scholar at NIT Silchar, working on projects related to power system optimization from 2020 to 2022. Currently, as a Senior Research Fellow (SRF) at IIT (ISM), he leads research initiatives that integrate algorithmic development and system analysis to tackle emerging issues in power system management and operation.

Research Timeline

Suraj’s research journey began during his M.Tech studies at NIT Silchar (2020–2022), where he developed foundational expertise in power system optimization. His transition to a Ph.D. program at IIT (ISM) in late 2022 marked a shift toward more complex and applied research problems, including the optimization of reactive power dispatch using metaheuristic methods and FACTS device integration. Throughout this period, he has actively published in reputed journals and presented at international IEEE conferences, showcasing the evolution and impact of his work.

Awards & Honors

Suraj’s scholarly contributions have been recognized through multiple presentations at international conferences, including IEEE forums, where his innovative approaches to reactive power management and load scheduling have garnered positive peer reviews. While formal awards are forthcoming, his growing publication record and conference participation highlight his standing as an emerging expert in power system optimization and control.

Top-Noted Publication

Among Suraj’s publications, the paper titled “Metaheuristic techniques and optimal VAr support to the vulnerable buses for improved reactive power planning,” published in 2025 in the International Journal of System Assurance Engineering and Management, stands out. This work introduces novel metaheuristic optimization methods to enhance reactive power support in power systems, demonstrating significant improvements in system stability and efficiency. The paper has been well-received by the academic community and cited as a valuable contribution to the field of power engineering.

Suraj Kumar Rajbhar’s notable publication titled “Metaheuristic techniques and optimal VAr support to the vulnerable buses for improved reactive power planning” appeared in the International Journal of System Assurance Engineering and Management in 2025. This research addresses the challenge of enhancing reactive power support in power systems using advanced metaheuristic optimization methods. Although currently under limited access and yet to receive citations, this article highlights Suraj’s innovative contributions to power system stability and control.

Bidisha Chakraborty, Economics, Best Researcher Award

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Professor Bidisha Chakraborty: Professor at Jadavpur University, India

Prof. Bidisha Chakraborty is a senior academic in the field of Development Economics and currently serves as Professor at the Department of Economics, Jadavpur University, Kolkata. Over the past two decades, she has built a robust portfolio of theoretical and policy-relevant research on human capital, growth, inequality, and child labour. Her scholarly work integrates complex mathematical modeling with real-world socio-economic challenges, particularly those faced by developing countries. A widely published economist, she has co-authored several influential papers and contributed to interdisciplinary studies on mental health, education systems, and welfare policy. She is also actively involved in teaching and mentoring postgraduate students and doctoral candidates.

Online Profiles

Scopus Profile

Prof. Chakraborty’s academic profile is accessible via the Jadavpur University Economics Department, which outlines her research interests, institutional affiliations, and contact details. While no direct links to ORCID, ResearchGate, or Google Scholar are currently listed, her publications are available through academic databases such as Springer, Elsevier, and JSTOR. She frequently collaborates with Indian and international scholars and presents at major economic conferences globally, making her a well-networked researcher in the field.

  • Total Documents: 18

  • Total Citations: 55 (from 49 citing documents)

  • h-index: 4

Education

Prof. Chakraborty completed her Ph.D. in Economics from the Indian Statistical Institute in December 2008, focusing on growth dynamics, human capital formation, and policy interventions in dual economies. Her doctoral research, under the supervision of Prof. M.R. Gupta, contributed novel theoretical frameworks to the field of endogenous growth. Her academic journey reflects a strong quantitative and analytical background, grounded in microeconomic and macroeconomic theory, dynamic systems, and applied econometrics. She has also been associated with premier institutions during her research training years.

Research Focus

Her research interests lie at the intersection of macroeconomic theory and developmental policy, particularly focusing on endogenous growth, education, public policy, labour markets, inequality, and child labour. She is especially known for her work on integrating human capital into dynamic growth models and evaluating the role of education subsidies, landholding patterns, and government policies on economic outcomes. In recent years, she has expanded into interdisciplinary areas such as socioeconomics and mental health, addressing how institutional and behavioral factors influence well-being and productivity in low-income settings.

Experience

Prof. Chakraborty began her career as a Junior and then Senior Research Fellow at the Economic Research Unit, Indian Statistical Institute, where she engaged in advanced theoretical modeling and empirical analysis. Since joining Jadavpur University, she has been involved in academic administration, curriculum development, and graduate-level instruction, along with guiding M.Phil. and Ph.D. research. She has participated in policy discussions and presented her work at international conferences in the U.S., U.K., China, and Russia. Her experience spans pure theoretical research to field-based socio-economic studies, reflecting a well-rounded academic career.

Research Timeline

Her academic publication record began in 2006, marked by foundational work on dual economy models and the inclusion of human capital in growth frameworks. Between 2006 and 2010, she published extensively on macroeconomic models of education and inequality. From 2011 onward, her work diversified to include public-private partnerships, service sector dynamics, and taxation in growth models. In the last decade, her research has increasingly integrated empirical work—on child labour, urban mental health, and happiness metrics—adding depth to her theoretical background. This timeline reflects a steady evolution from formal modeling to interdisciplinary applications.

Awards & Honors

While formal awards are not explicitly mentioned, Prof. Chakraborty’s contributions have been recognized through invitations to major academic conferences such as the Midwest Econometrics Group, DEGIT, and the Asian Meeting of the Econometric Society. Her paper presentations at Boston University, the University of Iowa, and University of Lincoln reflect international recognition. She has also received funding support from institutions like ICSSR and has collaborated with researchers from reputed Indian institutions and international universities, underlining her status as a leading researcher in development and policy economics.

Top-Noted Publication

Among her numerous contributions, the paper titled “Human Capital Accumulation and Endogenous Growth in a Dual Economy”, published in the Hitotsubashi Journal of Economics (2006), is considered one of her most impactful. Co-authored with Prof. M.R. Gupta, the paper developed a dynamic model linking dual-sector structures with educational investments and long-term growth. It remains frequently cited in studies analyzing the structural transformation of economies and the role of educational subsidies in fostering equitable development. The model has influenced both theoretical discourse and policy considerations on human capital and development in emerging economies.

Article

Women Empowerment, Parental Education and Future Human Capital Formation (Evidences from Urban Slum Area in India)

  • Focus: The study explores how women’s empowerment and parental education influence the future human capital of children in urban slums.

  • Key insights: Women’s decision-making power significantly affects children’s school enrollment and nutrition outcomes.

  • Publication: Journal of Quantitative Economics, 2025

Gurseen Rakhra, Medicine, Best Researcher Award

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Dr. Gurseen Rakhra: Assistant Professor at Manav Rachna International Institute of Research and Studies, India

Dr. Gurseen Rakhra is an experienced academic and researcher specializing in Life Sciences, with a focus on Nutrition, Biochemistry, and Metabolic Health. She currently serves as an Assistant Professor at Manav Rachna International Institute of Research & Studies, Faridabad, Haryana, India. Dr. Rakhra holds a Ph.D. in Life Sciences with specialization in Nutrition & Biochemistry from the Defense Institute of Physiology and Allied Sciences (DIPAS), DRDO, India. Her work revolves around human health, particularly metabolic diseases, gut health, and the development of nutritional strategies for disease prevention and recovery.

Online Profiles

Google Scholar Profile

Dr. Gurseen Rakhra is actively involved in research and academia with a robust presence in the field of Nutrition & Biochemistry. She has multiple research collaborations, publications in international journals, and her work has been featured in conferences. She serves as a journal reviewer for “Biological Trace Element Research” and is a life member of the Indian Science Congress and the Nutrition Society of India. Her professional and academic engagements can be explored through platforms like ResearchGate and Google Scholar, where her contributions to human health research are extensively cataloged.

Since 2020, Dr. Gurseen Rakhra’s research has gained significant recognition, with 125 total citations and 116 citations in recent years. Her work has an h-index of 6, reflecting the impact and consistency of her publications in the field of nutrition, biochemistry, and human health. She also holds an i10-index of 2, indicating her contributions to the literature in terms of individual articles with ten or more citations. These metrics highlight the growing influence of her research in the academic community.

Education

Dr. Gurseen Rakhra completed her Ph.D. in Life Sciences with a focus on Nutrition & Biochemistry from the Defense Institute of Physiology and Allied Sciences (DIPAS), DRDO, India, in March 2019. Her doctoral research explored the relationship between energy expenditure, body composition, and the status of essential minerals in individuals with varying physical activity levels. Prior to this, she earned an M.Phil. in Life Sciences from the same institute and a Master’s degree in Molecular Biology & Biochemistry (Honors) from Guru Nanak Dev University, Amritsar. Her academic journey began with a B.Sc. in Medical Sciences with a specialization in Biotechnology.

Research Focus

Dr. Rakhra’s research focuses on the intersection of nutrition and human health, with a particular emphasis on metabolic diseases, gut health, and biomarkers for chronic conditions such as Inflammatory Bowel Disease (IBD) and obesity. She is involved in several projects examining the effects of dietary interventions like low FODMAP on gut health and exploring the efficacy of nutritional strategies for enhancing recovery in athletes. She is also developing novel biomarkers for the nutritional status of metals, with ongoing research into their role in various health conditions.

Experience

With over seven years of research experience, Dr. Rakhra has held multiple academic and research positions. Currently, she is an Assistant Professor at the Department of Nutrition & Dietetics at Manav Rachna International Institute of Research & Studies, where she supervises graduate students and leads research projects. Prior to this, she worked as a Research Associate at AIIMS and contributed to innovative studies involving new intravitreal agents for diabetic conditions. Dr. Rakhra’s extensive experience in both academic and research settings is underscored by her significant role in guiding PhD candidates and post-graduate students on research related to human health, nutrition, and disease prevention.

Research Timeline

Dr. Rakhra’s research career spans over a decade. She began her doctoral studies at DIPAS in 2012, focusing on energy expenditure and body composition. Post-PhD, she has expanded her research into the areas of gut health, obesity, and nutritional interventions for metabolic disorders. In 2024, her project “Evaluation of Dietary Approaches for Reduced Inflammation and Enhanced Recovery (DARIER)” received national funding from the Ministry of Youth Affairs and Sports. Her research timeline includes multiple publications and contributions to developing nutrition-based strategies for improving public health.

Awards & Honors

Dr. Rakhra has been recognized for her academic and research excellence throughout her career. She has received several awards, including accolades for her work in Nutrition & Biochemistry and her contributions to public health. She is a life member of prestigious organizations such as the Indian Science Congress and the Nutrition Society of India. Additionally, Dr. Rakhra has been invited to present her research at various national and international conferences and has been a recipient of grants for her research projects.

Top-Noted Publication

Among her extensive list of publications, one of the most notable works is her recent study on the “Versatility of Nitric Oxide in Plants” published in Nitric Oxide in 2024. She has also contributed extensively to research on the relationship between gut microbiomes and chronic diseases, with her work featured in top-tier journals like the African Journal of Biological Sciences and The Journal of Sports Medicine and Physical Fitness. Her publications have made significant strides in understanding metabolic health, nutrition, and the molecular underpinnings of chronic diseases.

  • ats, A., Rakhra, G., Masih, D., Singh, S.N. (2018). Concurrent analysis of fat and water-soluble vitamins in biological fluids using reverse-phase high-performance liquid chromatography technique. Al Ameen Journal of Medical Sciences, 11(3), 147-153.

  • Malhotra, R., Rakhra, G., Chouhan, P. (2024). Role of lipid-soluble vitamins in MERS-related infections. In The Role of Vitamins in Combating Infectious Viral Diseases, pp. 46-59.

  • Malhotra, R., Rakhra, G., Chouhan, P., Rakhra, G. (2024). Metabolic disorders and honey. Honey, pp. 76-85.

  • Rakhra, G. (2021). Effect of endurance training on copper, zinc, iron, and magnesium status in athletes. The Journal of Sports Medicine and Physical Fitness.

  • Rana, R.T., Chopra, S., Rakhra, G., Singh, S.N. (2018). A journey of dietary nitrate as a health promoter. International Journal of Pharmaceutical Sciences and Research, 9(5), 1737-1744.

Mohamed El-Moussaoui, Computer Science, Best Researcher Award

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Doctorate Mohamed El-Moussaoui: Ph.D graduate at Chouaib Doukkali University, Morocco

Mohamed El-Moussaoui is a distinguished expert with over 15 years of experience in the field of monetic engineering, specializing in the intersection of financial technology, artificial intelligence, and data science. With a Doctorate in Computer Science and AI from Chouaib Doukkali University, he has contributed significantly to both academic research and the development of innovative payment solutions. His professional journey spans leadership roles in major firms such as Hightech Payment Systems, Al Barid Bank, and HPS Group, where he successfully directed projects across Europe, the Americas, and Asia. Mohamed’s research bridges theory and application, focusing on community detection in social networks, using cutting-edge AI methodologies to enhance the security, analysis, and optimization of payment systems.

Online Profiles

Google Scholar Profile

Research Metrics

  • Total Citations: 84

  • Citations Since 2020: 82

  • h-index: 2

  • i10-index: 1

These metrics reflect Mohamed’s growing influence in the field of artificial intelligence and network science. With an h-index of 2, his publications are showing a consistent level of academic impact, and the high number of citations since 2020 indicates increasing recognition of his research on community detection and AI applications.

Education

Mohamed earned his Ph.D. in Computer Science and Artificial Intelligence from the prestigious Chouaib Doukkali University, graduating with the highest honors and commendations from his committee. His thesis was focused on the application of advanced algorithms for community detection in social networks, specifically leveraging association rule learning and fuzzy logic. He also holds a Master’s degree in Networks and Systems from Cadi Ayyad University, where he graduated with honors, and a Professional Bachelor’s degree in Computer Science. In addition to his academic journey, Mohamed completed military training at the École Royale de l’Air (ERA) in Marrakech, which shaped his discipline and leadership skills. His educational foundation has provided him with the analytical skills and technical expertise necessary to excel in both industry and academia.

Research Focus

Mohamed’s research primarily revolves around the development of sophisticated community detection techniques in social networks, utilizing association rule learning, fuzzy logic, and deep learning algorithms. He is especially interested in exploring how these methods can be applied to the field of monetic engineering to enhance payment security, fraud detection, and customer experience. His recent works focus on semantic-driven community models, multi-criteria decision-making techniques, and how AI-driven solutions can optimize both large-scale financial transactions and online social network analysis. His research also delves into systematizing deep learning approaches for network community detection, with a goal to bring practical applications to the field of digital payment systems.

Experience

Mohamed has a wealth of practical experience in both the public and private sectors, with a specific focus on the design and implementation of complex payment systems. Currently, he is serving as the Project Director at Hightech Payment Systems, where he is responsible for overseeing the company’s international projects related to digital payment infrastructures across Europe, the Americas, and Asia. Previously, he worked as the Head of the Monetic Engineering Division at Al Barid Bank, managing the integration and innovation of payment systems, including developing and launching new payment services for both retail and corporate clients. He has also held pivotal roles at HPS Group and S2M, where he contributed to product development, systems integration, and managed teams across various regions, ensuring that their solutions met high security standards and customer requirements. Mohamed’s leadership and technical expertise have consistently resulted in the successful deployment of state-of-the-art monetic technologies.

Research Timeline

  • 2025 (Q1): Published “ARLClustering: An R Package for Community Detection” in Applied Network Science (IF 1.4), marking a significant contribution to the development of user interaction-based community detection algorithms.

  • 2024 (Q2): Published “A Multi-Agent-Based Approach for Community Detection” in The International Journal of Data Science and Analytics (IF 3.4), presenting a novel approach to analyzing user behaviors in online platforms.

  • 2025 (Q2): Currently working on a paper titled “A Fuzzy Logic-Based Approach for Community Detection,” under review at International Journal of Fuzzy Systems.

  • 2025 (Q2): A comprehensive systematic review titled “A Review of Deep Learning Methods for Community Detection” is being published in Frontiers in Artificial Intelligence (IF 3.0), providing an in-depth look at the latest advancements in AI for network analysis.

Awards & Honors

  • 2025: Honored with the “Very Honorable” distinction for his Ph.D. dissertation, awarded by Chouaib Doukkali University. This recognition acknowledges his substantial contributions to the field of AI and monetic engineering.

  • 2024: Best Paper Award at the ICEET’24 International Conference for his development of the ARLClustering R package, praised for its innovation and potential applications in social network analysis.

  • 2022: Selected as the Technical Program Chair for the International Workshop on Modeling and Analysis of Complex Networks with Applications (MACNA’22) held in Ontario, Canada, a significant recognition of his expertise and leadership in the field of network science.

  • 2020: Awarded for Best Communication at the International Conference on Smart City Applications (SCA’20) for his innovative work on community detection using association rule learning.

Top-Noted Publication

  • “A Comprehensive Literature Review on Community Detection: Approaches and Applications”
    M. El-Moussaoui, T. Agouti, A. Tikniouine, M. El Adnani. Procedia Computer Science, Vol. 151, 76 (2019)

    • This paper provides an in-depth review of various community detection methods, summarizing state-of-the-art approaches and their practical applications in diverse domains.

  • “A Novel Approach of Community Detection Using Association Rules Learning: Application to User’s Friendships of Online Social Networks”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. Innovations in Smart Cities Applications, Volume 4 (2021)

    • A groundbreaking study that introduces the application of association rule learning (ARL) for detecting communities based on user friendships in online social networks.

  • “A Multi-Agent-Based Approach for Community Detection Using Association Rules”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. International Journal of Data Science and Analytics, Vol. 18 (4), 379-392 (2024)

    • This paper explores a multi-agent-based framework for community detection, applying association rules to analyze complex social networks and user behavior patterns.

  • “A k-Mean Classification Study of Eight Community Detection Algorithms: Application to Synthetic Social Network Datasets”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. AI and IoT for Sustainable Development in Emerging Countries, 557-572 (2022)

    • A comparative study evaluating the effectiveness of various community detection algorithms using synthetic datasets, with a focus on scalability and performance.

  • “ARLClustering: An R Package for Community Detection in Social Networks Based on User Interaction and Association Rule Learning”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. Applied Network Science, Vol. 10 (25), (2025)

    • Introduces ARLClustering, an R package designed to enhance community detection in social networks by utilizing user interaction data and association rule learning.

  • “ARLClustering: R Package for Community Detection-Based Association Rules Learning”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. International Conference on Engineering and Emerging Technologies (ICEET), 1-5 (2025)

    • Presentation of ARLClustering at ICEET’25, demonstrating its applications and potential for improving community detection processes in dynamic social networks.

  • “Community Detection in Social Networks: A State of the Art”
    M. El-Moussaoui, M. Hanine, A. Kartit, T. Agouti. International Conference on Mathematics & Data Science (ICMDS’20), 102 (2020)

    • A detailed state-of-the-art review on community detection methods, examining algorithms, challenges, and the impact of machine learning in social network analysis.

Akilbasha A, Mathematics, Best Researcher Award

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Doctorate Akilbasha A: Assistant Professor at Dr. Vishwanath Karad MIT World Peace University, Pune, India

Dr. A. Akilbasha is an accomplished academician, currently serving as an Assistant Professor and Research Coordinator at Dr. Vishwanath Karad MIT World Peace University, Pune. With a strong foundation in Applied Mathematics, he earned his Ph.D. from the prestigious Vellore Institute of Technology (VIT). His research primarily focuses on optimization techniques, decision-making frameworks, and the application of fuzzy and rough set theory in logistics, supply chain management, and transportation. With a passion for interdisciplinary research, Dr. Akilbasha has also made significant contributions to the theoretical foundations and real-world applications of mathematical models. His work has been widely recognized, and he continues to push the boundaries of research in applied mathematics.

Online Profiles

Dr. Akilbasha’s work can be accessed through several academic and professional profiles, demonstrating his dedication to advancing research in mathematical optimization and related fields:

  • Citations: 164 total, 134 in the last 5 years

  • h-index: 7

  • i10-index: 6

Education

Dr. Akilbasha’s academic background reflects a deep commitment to both theoretical and practical aspects of mathematics. His Ph.D. in Mathematics from VIT (2021) provided him with expertise in optimization and decision theory, allowing him to explore how mathematical models can solve complex real-world problems. He also holds an M.Phil. (2015) from VIT, where he graduated with a distinction of 90%, reflecting his dedication to excellence. His undergraduate education in Mathematics from Mazharul Uloom College (2007-2010) and his subsequent B.Ed. in Mathematics further fueled his passion for teaching and research, forming a robust foundation for his career in academia.

Research Focus

Dr. Akilbasha’s research focus lies at the intersection of optimization theory and applied mathematics. His work encompasses the use of fuzzy and rough set theory to model complex decision-making processes in fields such as logistics, supply chain management, and transportation. He employs advanced mathematical techniques to solve problems like transportation optimization, decision support systems, and sensitivity analysis. His research aims to offer practical solutions to industries that rely on optimization models to improve efficiency, reduce costs, and enhance decision-making processes in uncertain environments.

Experience

Dr. Akilbasha has held several important positions in academia and research. In addition to his current role at MIT World Peace University, Pune, where he coordinates the Ph.D. program, he has previously worked at B.S. Abdur Rahman Crescent Institute of Science & Technology, Chennai. His research experience includes working as a Senior and Junior Research Fellow at VIT, where he contributed to several key projects in optimization and fuzzy set theory. As a teacher, Dr. Akilbasha has designed and delivered courses on topics such as optimization, applied mathematics, and fuzzy systems, making significant contributions to the academic community and mentoring future scholars.

Research Timeline

  • March 2023: Supervision of Ph.D. scholar Miss. Tarishi Baranwal on “Optimization Techniques for Multi-Criteria Decision-Making”

  • August 2024: Supervision of Ph.D. scholar Miss. Tanishqa Veer on “Finite Difference Methods in Optimization Problems”

  • 2025: Collaboration on research projects with international institutions to expand research on sustainable optimization models for transportation networks

  • Present: Actively guiding research on fuzzy optimization models and their applications in logistics, while continuing to publish high-impact papers in leading journals.

Awards & Honors

Dr. Akilbasha’s scholarly contributions have been recognized with numerous awards and honors. These include the prestigious UGC Maulana Azad National Fellowship (2016-2021), which supported his doctoral research, and multiple Best Paper Awards at international conferences such as the 4th International Conference on Innovation and Sustainable Business Practices in the Digital Era (2025). He has been honored with Seven Consecutive Research Awards for his impactful publications at VIT, Vellore. His academic excellence is further underscored by his remarkable achievements in B.Sc. and M.Sc. Mathematics, where he secured 1st Rank & Centum in both programs at Mazharul Uloom College and Muthurangam Govt Arts College, Vellore.

Top-Noted Publications

  1. gendre polynomial based approximation of the Hessian for quasi-Newton optimization
    S. Panic
    Numerical Algorithms, 1-31, 2025

  2. An application of residue number system arithmetics to secure hash functions design
    M. Pavlović, S. Panić, B. Damjanović, N. Stamenković
    Bulletin of Natural Sciences Research, 15 (1), 2025

  3. Computing Descriptive Statistics of Bluetooth Signals Using a Neural Network
    M. Dejanović, S. Panić, D. Đošić, D. Milić
    2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH), 1-5, 2025

  4. Application of neural networks in estimating second-order characteristics of shadowed fading channels
    S. Panic, M. Dejanovic, V. Milenkovic, D. Djosic, M. Gligorijevic
    Telecommunication Systems, 88 (1), 27, 2025

  5. On the shadowed Ricean model for land mobile satellite channels
    S. Panic, A. De, M. Veskovic
    Annals of Telecommunications, 1-7, 2025

  6. Enhancing Digital Image Correlation with Adaptive Wavelets: Addressing Complex Deformations and Lorenz Noise
    L. Mosurović, R. Ivkovic, S. Panić, R. Prodanović, M. Petrović, P. Spalević
    Defence Science Journal, 75 (4), 426, 2025

  7. Availability based maintenance analysis for system with repair time threshold
    N. Kontrec, S. Panić, B. Panić
    Yugoslav Journal of Operations Research, 3-3, 2025

Nishanth Pitcham, Agriculture, Best Researcher Award

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Dr. Nishanth Pitcham: JRF at Kalasalingam Academy of Research and Education, India

P. Nishanth is a dedicated researcher in the field of biotechnology, with a focus on molecular biology, drug design, and bioinformatics. Currently, he is pursuing a Ph.D. at Kalasalingam Academy of Research and Education as a Junior Research Fellow (JRF) in a DBT-NER-funded project. Nishanth’s academic background, which includes a Master’s degree in Biotechnology with an outstanding 81.9% from Ayya Nadar Janaki Ammal College, Sivakasi, has laid a strong foundation for his research career. His expertise extends to areas such as cancer biology, virology, and the development of antiviral peptides derived from animal venoms. Nishanth is motivated by the desire to contribute to global health solutions, particularly in drug discovery and molecular diagnostics, with a focus on emerging infectious diseases like COVID-19.

Online Profiles

ORCID Profile

Education

My academic path has been centered around the study of biotechnology, providing me with both theoretical knowledge and practical expertise. I earned my M.Sc. in Biotechnology from Ayya Nadar Janaki Ammal College, Sivakasi, graduating with an impressive 81.9%. I also completed my B.Sc. in Biotechnology from the same institution in 2019, where I developed a strong foundation in various biotechnological techniques. Additionally, I’ve pursued several certificate courses to complement my degree, such as a Certificate in Bioinformatics (76.5%) and a Diploma in Horticulture Biotechnology (77.4%). My educational background also includes certifications in Information Technology, SPSS Basics, and various molecular biology techniques, all of which contribute to my current research trajectory.

Research Focus

My research is largely focused on drug design and bioinformatics, particularly the development of antiviral peptides to combat viral diseases, including COVID-19. I am actively involved in the molecular docking and in silico drug design for targeting key proteins in viral pathogens, utilizing animal venoms as a potential source for antiviral peptides. Additionally, my work encompasses genetic engineering and bioinformatics tools to identify therapeutic agents against diseases such as cancer and viral infections. My research aims to bridge the gap between biotechnology and real-world therapeutic applications, contributing to the development of innovative solutions in global healthcare challenges.

Experience

I have gained valuable practical experience throughout my academic career. As a Research Engineer at Weetech Solutions, I focused on writing scientific content for publications and articles in the field of biotechnology, gaining exposure to industry-related challenges and trends. My experience as CRC-Execution at Spinos Life Science and Research Pvt. Ltd. allowed me to develop strong project management and research execution skills. In addition, I worked as a Research Analyst at KEDS Groups, where I contributed to data analysis and research insights in biotechnology. My internship experiences, including in Horticulture Biotechnology at Vijaya Agro Services, have provided me with a hands-on understanding of plant biotechnology and its applications. Furthermore, my role as an Editor for the book titled “Futuristic Trends in Biotechnology Volume 3” has honed my academic editing and writing skills.

Research Timeline

  • 2022 – Present: Currently pursuing a Ph.D. as a Junior Research Fellow (JRF) in a DBT-NER-funded project at Kalasalingam Academy of Research and Education, focusing on antiviral peptides for drug design.

  • 2021: Completed an online internship as a Research Analyst at KEDS Groups, where I gained hands-on experience in data analysis and research methodology.

  • 2021: Undertook a research internship on Horticulture Biotechnology at Vijaya Agro Services, focusing on plant tissue culture techniques and biotechnology applications in agriculture.

  • 2020: Worked as a Research Engineer at Weetech Solutions, where I contributed to scientific content creation for biotechnology publications and articles.

  • 2019: Worked as a CRC-Execution at Spinos Life Science, where I assisted in the execution of clinical research projects and data collection.

This timeline reflects my continuous development in the biotechnology research field, with hands-on experience in both academic and industrial settings.

Awards & Honors

  • First Prize in the Lights Camera Action (Shortfilm) competition at MICROFIESTA.20, organized by the Department of Microbiology, The American College, Madurai.

  • Official Selection for my short film, “Polladha Boomi”, at the Kalakari International Film Festival, highlighting my creative approach to science communication.

  • Volunteer at the “Gift of Vision” Rural Outreach Eye Care Programme by Sankara Eye Hospital, demonstrating my commitment to social causes.

  • Recognition at the National Seminar on “Recent Advancements in Bioenergy and Bioproducts (RABB-17)” for my paper on bioenergy research in Malaimadu Bos indicus.

These honors and awards reflect my ability to excel in both scientific research and extracurricular activities, demonstrating my diverse skill set and interests.

Top-Noted Publications

“Exploring the Anti-Inflammatory Effects of Bioactive Compounds from Assam Tea Clones: In Silico and In Vitro Approaches”
International Journal of Secondary Metabolite (2025-06-11)
DOI: 10.21448/ijsm.1542644
Contributors: Nishanth Pitcham, Hariram Natarajan

This study delves into the anti-inflammatory potential of bioactive compounds derived from Assam tea clones, employing both in silico (computational) and in vitro (laboratory) approaches to evaluate their therapeutic efficacy. The article provides insights into the molecular interactions of these compounds with pro-inflammatory pathways, highlighting the potential of Assam tea as a source of natural anti-inflammatory agents.

Chunyi Fang, Public Health, Best Researcher Award

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Dr. Chunyi Fang: Physical therapist at Zhejiang Provincial People’s Hospital, China

Dr. Chunyi Fang is a medical doctor and clinical researcher with a strong academic background in rehabilitation therapy and pediatric exercise science. She is affiliated with the Center for Rehabilitation Medicine at Zhejiang Provincial People’s Hospital, one of China’s leading centers for rehabilitation research. Her work primarily focuses on pediatric physical activity, exploring how movement behaviors influence physical fitness and health outcomes in preschool-aged children. With both domestic and international publications, Dr. Fang has developed a reputation for combining clinical insight with rigorous data analysis, contributing to early childhood health promotion and rehabilitation strategies.

Online Profiles

ORCID Profile

Education

Dr. Fang earned her M.D. in 2017 from Shanghai University of Sport, where she conducted original research on how daily step counts influence cardiovascular and muscular fitness in preschoolers—an area that laid the groundwork for her later publications. Prior to that, she completed her Bachelor of Science degree in Rehabilitation Therapy at North China University of Science and Technology in 2012. Her academic path reflects a steady focus on clinical rehabilitation and the development of functional health in children, combining both practical and scientific approaches.

Research Focus

Her research concentrates on pediatric physical fitness, particularly examining how different types and intensities of physical activity and sedentary behavior affect developmental health outcomes. Using advanced tools such as accelerometers, she quantifies daily activity levels and links them to cardiovascular, neuromuscular, and motor skill indicators in young children. Dr. Fang’s work is especially known for addressing dose-response relationships, investigating how varying movement patterns correspond to health benchmarks in preschool-aged populations. She also contributes to cluster-based analyses and early intervention planning.

Experience

Dr. Fang currently works at the Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, where she plays a key role in research design, data collection, and clinical application. She has contributed to both observational studies and experimental trials involving child development, physical activity measurement, and rehabilitation protocols. She also assists in training clinical staff in pediatric assessments and collaborates with physicians, therapists, and data scientists in large-scale health studies. Her role bridges the gap between academic theory and hands-on clinical practice.

Research Timeline

Beginning in 2017, Dr. Fang’s early work investigated fundamental relationships between movement and fitness in young children. Her first notable international publication appeared in the Journal of Clinical Medicine in 2020, followed by co-authored studies in Frontiers in Pediatrics and Scientific Reports. From 2020 to 2025, she expanded her research methods to include wearable technology, sedentary behavior modeling, and cross-sectional studies with large preschool cohorts. She continues to participate in national and international collaborations while mentoring new researchers in pediatric rehabilitation.

Awards & Honors

While specific awards are not listed, Dr. Fang’s research has received recognition through publication in high-impact journals and citation by leading scholars in physical education and pediatric medicine. Her work was selected for publication in Scientific Reports and Frontiers in Human Neuroscience, reflecting both methodological quality and relevance to public health. She has also received internal commendations from Zhejiang Provincial People’s Hospital for her contributions to evidence-based rehabilitation practice and collaborative research excellence.

Top-Noted Publication

Her most cited and prominent paper is: Fang C, Li L, Jin Z, He C, Liang F, Ye X, Lu Y, Quan M. (2025). Accelerometer-Based Independent and Combined Associations of Physical Activity and Sedentary Time on Physical Fitness in Preschool Children: A Cross-Sectional Study. Published in Scientific Reports, this study offers a comprehensive look at how objectively measured physical activity and inactivity are related to fitness outcomes in early childhood. It emphasizes the importance of reducing sedentary time and encouraging moderate-to-vigorous activity for promoting children’s health.
DOI: https://doi.org/10.1038/s41598-025-00626-x

Fang C, Li L, Jin Z, He C, Liang F, Ye X, Lu Y, Quan M. (2025). Accelerometer-Based Independent and Combined Associations of Physical Activity and Sedentary Time on Physical Fitness in Preschool Children: A Cross-Sectional Study. Scientific Reports, 15(1):26691.
DOI: 10.1038/s41598-025-00626-x
This study explored the independent and joint effects of physical activity and sedentary time on health-related fitness using objective accelerometer data in preschoolers.

Fang C, Zhang J, Zhou T, Li L, Lu Y, Gao Z, Quan M. (2020). Associations between Daily Step Counts and Physical Fitness in Preschool Children. Journal of Clinical Medicine, 9(1):163.
DOI: 10.3390/jcm9010163
Among the first studies to examine the dose-response association between step count and physical fitness in children aged 3–6, this article provides foundational evidence supporting active lifestyle promotion in early childhood.

Liu J, Li Y, Zhou T, Lu Y, Sang M, Li L, Fang C, Hu W, Sun X, Quan M. (2022). Relationship Between Gross Motor Skills and Inhibitory Control in Preschool Children: A Pilot Study. Frontiers in Human Neuroscience, 16:848230.
DOI: 10.3389/fnhum.2022.848230
This pilot study evaluated the cognitive-motor link in preschoolers, finding significant associations between gross motor competence and inhibitory control, a critical executive function.

Lu Y, Li Y, Zhou T, Sang M, Li L, Fang C, Hu W, Quan M. (2022). The Association of Different Sedentary Patterns and Health-Related Physical Fitness in Pre-schoolers. Frontiers in Pediatrics, 9:796417.
DOI: 10.3389/fped.2021.796417
This paper examined how various sedentary behavior patterns relate to fitness metrics in preschool children, revealing that prolonged sedentary bouts are negatively associated with cardiovascular and muscular fitness.

Ashish Verma, Computer Science, Best Researcher Award

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Doctorate Ashish Verma: Research Scholar at Birla Institute of Technology & Science, Pilani, India

Ashish Verma is a Ph.D. research scholar in the Department of Computer Science and Information Systems at BITS Pilani, Pilani Campus. His work lies at the intersection of robotics, distributed computing, and AI, with a focus on scalable and fault-tolerant multi-robot task allocation systems. With over four years of intensive research experience, Ashish has contributed to multiple high-impact projects involving real-time task coordination among autonomous mobile robots in time-critical environments. He is passionate about building intelligent robotic frameworks that can operate efficiently in uncertain and communication-constrained scenarios. His long-term vision is to establish a research center that develops robotic solutions for societal and industrial challenges in India and beyond.

Online Profiles

ORCID Profile

Education

Ashish holds a Bachelor’s degree in Computer Engineering from Cochin University of Science and Technology (CUSAT), completed in 2019 with a CGPA of 8.18. Currently, he is pursuing his Doctor of Philosophy (Ph.D.) in Computer Science and Engineering at BITS Pilani, where he has been working since November 2020. His doctoral research focuses on the design and implementation of secure, fault-tolerant frameworks for multi-robot task allocation in imperfect communication settings. Through advanced courses and project work, he has built a strong academic foundation in optimization, AI, reinforcement learning, distributed systems, and embedded robotics.

Research Focus

Ashish’s core research areas include distributed multi-robot task allocation (MRTA), dynamic scheduling, embedded systems, fault-tolerance, and secure robotic communication. He explores solutions to NP-Hard problems in heterogeneous mobile robotics using graph theory, optimization, deep learning (LSTM), and reinforcement learning. His current work integrates predictive modeling with dynamic rescheduling to minimize delivery penalties in time-sensitive domains like healthcare and warehousing. He also plans to integrate adversarial-resilient mechanisms and encryption-based authentication to improve system robustness in real-world robotic deployments.

Experience

Ashish has been working as a Research Scholar at the Embedded Systems and Robotics Laboratory at BITS Pilani since November 2020. Over the past four and a half years, he has contributed to designing, simulating, and evaluating robust multi-robot systems under complex operational constraints. His roles have included research design, simulation testing, writing algorithms, preparing publications, and mentoring students. In addition to research, he has served as a lab instructor for undergraduate courses such as Object-Oriented Programming (OOP), providing hands-on training to students in core computer science concepts. His experience reflects both theoretical depth and practical problem-solving ability.

Research Timeline

Between 2021 and 2025, Ashish Verma has worked on four major funded research projects focusing on real-time robotic systems: (1) CF-HMRTA – addressing coalition formation in heterogeneous robot teams using bipartite graph matching; (2) HMR-ODTA – a framework for diverse online task allocation under time constraints; (3) DTA-HMR-TT – a decentralized approach incorporating task transfer to minimize late deliveries; and (4) Predictive Task Allocation using Deep Learning – employing LSTM models to forecast and optimize task schedules dynamically. Each project built progressively toward creating a secure, scalable, and intelligent multi-robot system capable of operating in dynamic, imperfect environments.

Awards & Honors

Ashish has a consistent academic record and has earned accolades from school to university level. He secured the 1st rank in a Mathematics Olympiad during school and was the winner of an intra-university chess championship, reflecting both analytical ability and strategic thinking. In his research journey, he has participated in multiple national and international workshops, including the EMSC-2021 workshop on smart city energy management and a short course on high-performance and parallel computing. He has also contributed to the research community as a peer reviewer for IEEE Transactions on Intelligent Vehicles, a testament to his growing expertise and academic engagement.

Top-Noted Publication

Among his published works, Ashish’s most impactful publication to date is the 2024 IEEE Access paper titled “DTA-HMR-TT: Dynamic Task Allocation for a Heterogeneous Team of Mobile Robots with Task Transfer.” This work presents a novel decentralized scheduling algorithm that addresses multi-pickup and delivery problems with time windows in real-world environments such as hospitals and warehouses. The paper highlights his contribution to handling task rescheduling, minimizing penalties for late deliveries, and enabling robots to intelligently transfer tasks under changing scenarios. It received positive peer recognition for its scalability and practical value in real-time robotic systems.

1. Verma, A., Gautam, A., Dutta, A., Shekhawat, V. S., & Mohan, S. (2025). CF-HMRTA: Coalition Formation for Heterogeneous Multi-Robot Task Allocation. Journal of Intelligent & Robotic Systems. https://doi.org/10.1007/s10846-025-02287-4
This paper introduces a novel coalition formation strategy for task allocation among heterogeneous mobile robots, addressing the computational complexity of NP-Hard problems using a bipartite graph matching technique with a worst-case time complexity of O(|E|). The work significantly enhances scalability, demonstrated through simulations involving up to 2000 robots and 400 tasks executed in under 12 seconds. The coalition mechanism ensures optimal robot-task pairing and showcases efficiency in diverse multi-agent environments. The study reflects Ashish Verma’s deep understanding of algorithm design, optimization under constraints, and real-world simulation modeling.

2. Verma, A., Gautam, A., Shekhawat, V. S., & Mohan, S. (2024). DTA-HMR-TT: Dynamic Task Allocation for a Heterogeneous Team of Mobile Robots With Task Transfer. IEEE Access. https://doi.org/10.1109/ACCESS.2024.3505947
This research presents a decentralized framework for dynamic task allocation in time-sensitive scenarios such as hospital logistics and warehouse automation. The proposed system introduces a task-transfer mechanism to improve delivery reliability and minimize penalties under time window constraints. Using a team of autonomous heterogeneous robots, the system dynamically adjusts task schedules based on environmental changes and robot availability. This publication highlights Ashish’s expertise in decentralized algorithms, dynamic scheduling, and robust robotic coordination in structured indoor environments.

Nagaraj C, Engineering, Best Researcher Award

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Doctorate Nagaraj C: Assistant Professor at M S Ramaiah Institute of Technology, India

Dr. Nagaraj C is an accomplished academician and researcher in the field of Electrical and Electronics Engineering, with a specialization in smart grid systems, hybrid micro-grids, and renewable energy technologies. He holds over 13 years of rich experience in teaching, academic mentoring, and applied research. Known for his commitment to innovation and power system optimization, he has contributed through high-impact journal publications, conference presentations, patents, and funded projects. His work is deeply rooted in both theoretical modeling and practical applications, making him a dynamic contributor to engineering education and energy systems research.

Online Profiles

Scopus Profile

Dr. Nagaraj C is listed on Scopus with an author ID 57191851593, reflecting his active contribution to peer-reviewed research. As of now, his publications have garnered 46 citations across 12 indexed documents, with an h-index of 5, indicating consistent scholarly impact in his research area. His research outputs span topics in smart grid systems, renewable energy integration, and power electronics.

Education

Dr. Nagaraj completed his Ph.D. in Electrical Engineering from the prestigious National Institute of Technology Karnataka (NITK), Surathkal, under the Ministry of Human Resource Development (MHRD), Government of India in 2020, with a coursework CGPA of 7.42/10. Prior to his doctoral studies, he obtained his M.Tech in Power Systems from NIE, Mysuru (VTU, Belagavi) in 2010 with a CGPA of 8.74. He began his engineering education at PES College of Engineering, Mandya (VTU), earning his B.E. in Electrical and Electronics Engineering in 2008 with 63.19%. His academic journey reflects a continuous and deepening focus on power systems and grid technologies.

Research Focus

His research is centered on intelligent control mechanisms for hybrid AC-DC micro-grid systems with an emphasis on power flow control, energy efficiency, and power quality improvement. Dr. Nagaraj has developed advanced converter topologies and control algorithms using fuzzy logic, PI controllers, and hysteresis techniques to address harmonic distortion and voltage instability. He has a strong interest in renewable energy integration, especially solar and wind systems, electric vehicle infrastructure, and next-generation energy conversion systems. His simulations and validations using MATLAB/Simulink contribute to IEEE 519-compliant grid performance.

Experience

Dr. Nagaraj’s academic career spans multiple institutions, starting as an Assistant Professor at MIT Kundapura, followed by key roles as Ad-hoc Faculty and Research Scholar at NITK Surathkal, where he spent over 7 years. He later served as Associate Professor at Reva University before joining M S Ramaiah Institute of Technology, Bengaluru, in December 2020. He has handled a wide range of subjects including Basic Electrical Engineering, Power Systems, Transformers & Induction Machines, and Electric Vehicle Technology. Alongside teaching, he has guided students in lab experiments, supervised projects, coordinated workshops, and contributed significantly to academic governance.

Research Timeline

Beginning his formal research journey in 2012 as an ad-hoc faculty member at NITK Surathkal, Dr. Nagaraj transitioned into a full-time research scholar in 2013. During his Ph.D. (2013–2019), he investigated smart micro-grid topologies and intelligent power control strategies. Post-doctoral work involved academic teaching and research dissemination through journal publications and conferences. From 2020 onwards, he continued active research while serving as Assistant Professor at MSRIT, where he also initiated funded research proposals, filed patents, and guided student research aligned with emerging technologies like EV systems and hybrid inverters.

Awards & Honors

Dr. Nagaraj has been the recipient of several honors throughout his academic and professional career. He was awarded a prestigious MHRD Fellowship for his Ph.D. at NITK Surathkal, recognizing his academic merit and research potential. In 2021, he received an official appreciation for delivering a webinar on emerging trends in Power Systems under the TEQIP-III FDP program. Earlier, he secured second prize in Shuttle Badminton competitions and ranked in a State-Level Science Talent Examination. He has also participated in state-level marathon events, showcasing his all-rounded personality and commitment to excellence beyond academics.

Top-Noted Publication

Among his notable publications, the research article titled “Reduction of power conversion losses in AC-DC Coupled Hybrid Micro-grid under Grid Distorted Voltage Scenario” stands out. Published in Electric Power System Research (Elsevier, Q1 SCIE/Scopus Indexed) in October 2022, this work introduces a novel hybrid micro-grid configuration with an efficient bi-directional intermediate converter using fuzzy logic-based d-q load current control. It addresses power quality issues in distorted voltage conditions and offers significant improvements in conversion efficiency. The paper is recognized for its high relevance in modern power system research and its potential real-world applications.

Recent Scopus-Indexed Publication

Title: Generic Converter Loss Estimation Approach for AC and DC Coupling Distributed Energy Sources
Authors: Nagaraj C., Kumara K., Mohan N.
Journal: Energy Systems (Springer) – Scopus Indexed (Q2), 2025
Summary:
This paper presents a generic loss estimation method for power converters used in both AC and DC coupling of distributed energy sources. The study emphasizes minimizing energy losses during conversion stages and improving the overall efficiency of integrated renewable systems. It introduces a comparative analysis of various converter topologies under different load and source conditions, providing valuable insights into design optimization for smart grid applications.