Category: Biography

Muthaiah Muthuraj, Public Health, Best Innovator Award

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Dr. Muthaiah Muthuraj: Head of the Department,Department of Microbiology at Intermediate Reference Laboratory,Goernment Hospital for Chest Diseases, India

Dr. Muthaiah Muthuraj is a distinguished bacteriologist and the Head of the Department of Microbiology at the Government Hospital for Chest Diseases in India. With over 25 years of experience in academic training and research, he has made significant contributions to the study of tuberculosis (TB), particularly in the areas of drug resistance, molecular characterization of Mycobacterium tuberculosis, and the immunopathogenesis of TB meningitis. Dr. Muthuraj has been actively involved in various international TB research initiatives, including the Indo-US Regional Prospective Observational Research in TB (RePORT) project, and has published over 45 research articles in highly reputed national and international journals. His leadership extends beyond research; he is also a mentor for students at various levels, from MSc to Ph.D., and has authored three influential books on microbiology. He continues to play a critical role in advancing TB diagnostics and treatment strategies globally.

Online Profiles

Scopus Profile

Dr. Muthaiah Muthuraj is a seasoned bacteriologist and the Head of the Department at the Government Hospital for Chest Diseases, Puducherry, India. With a career spanning over 25 years, he has made significant contributions to the fields of microbiology and tuberculosis (TB) research. His extensive academic journey, which includes an M.Sc. in Microbiology, an M.Phil. in Biotechnology, and a Ph.D. in Biotechnology, has shaped his expertise in TB diagnostics, biomarkers, drug resistance, and the molecular characterization of Mycobacterium tuberculosis. Dr. Muthuraj has authored over 45 research articles, alongside several books and book chapters. His research has earned him recognition on international platforms, and his work is highly cited in scientific literature. He holds an h-index of 11 with 435 citations across 403 documents, a testament to the impact of his research in the scientific community. In addition to his academic and research contributions, Dr. Muthuraj serves as a co-investigator in several prestigious international studies, including the Indo-US Regional Prospective Observational Research on TB (RePORT). His commitment to advancing TB research and diagnostics is evident through his leadership in multiple research projects, awards, and honors throughout his distinguished career.

Education

Dr. Muthuraj’s academic journey began with an M.Sc. in Microbiology from Madurai Kamaraj University in 1992, where he gained a solid foundation in microbial sciences. He then pursued an M.Phil. in Biotechnology from Bharathidasan University in 2004, honing his skills in biotechnological applications. His doctoral research at Bharathiar University, completed in 2015, focused on the molecular aspects of tuberculosis and drug resistance. This combination of degrees has provided Dr. Muthuraj with a deep understanding of both the theoretical and practical aspects of microbiology and biotechnology, particularly as it applies to infectious diseases.

Research Focus

Dr. Muthuraj’s primary research interest lies in the molecular characterization of Mycobacterium tuberculosis and the identification of biomarkers that can improve TB diagnostics and treatment. His work on drug resistance mechanisms, especially in the context of multidrug-resistant (MDR) and extensively drug-resistant (XDR) tuberculosis, has garnered international attention. He is also exploring the immunopathogenesis of TB meningitis, a condition that poses significant diagnostic and therapeutic challenges. Additionally, Dr. Muthuraj is dedicated to developing innovative diagnostic tools, including CRISPR-based methods and molecular assays, as well as contributing to the development of new vaccines and drug therapies for TB.

Experience

Dr. Muthuraj’s career spans both academic and industrial domains. He began his career in the pharmaceutical industry, holding senior roles at Zydus Cadila Pharmaceuticals and Spic Pharmaceuticals, where he contributed to vaccine production and microbiological testing. In 2000, he transitioned to his current academic role, becoming the Head of the Microbiology Department at the Government Hospital for Chest Diseases. He oversees the TB diagnostics laboratory, which plays a key role in regional TB control and research. In addition to his clinical and research responsibilities, Dr. Muthuraj is an active mentor for graduate and doctoral students, guiding them through research projects and providing academic leadership.

Research Timeline

Dr. Muthuraj’s research career began in the 1990s, focusing initially on microbiological techniques for vaccine production. By the early 2000s, his research pivoted to the study of tuberculosis, specifically targeting M. tuberculosis and TB drug resistance. Over the years, his research has grown to encompass various aspects of TB biology, diagnostics, and treatment, with an increasing focus on molecular biology and immunology. His involvement in the RePORT initiative in India and his role as a co-investigator in several NIH-funded studies reflect his ongoing commitment to understanding TB at the molecular and clinical levels. His research continues to address critical gaps in TB diagnostics and management, particularly for drug-resistant forms of the disease.

Awards & Honors

Dr. Muthuraj has received numerous honors for his contributions to the field of microbiology. His editorial and peer review roles for top-tier journals, such as Nature, Lancet, and Elsevier, are a testament to his expertise and influence in the scientific community. He has also been recognized by international organizations for his work in TB research, particularly for his role in advancing diagnostic methods and studying the molecular underpinnings of drug resistance. His achievements have led to his involvement in global TB initiatives and recognition as a leading expert in the field.

Recent Publication

One of Dr. Muthuraj’s most recent publications, Prevalence of Extrapulmonary Tuberculosis and Factors Influencing Successful Treatment Outcomes (published in Scientific Reports in 2025), addresses the growing concern of extrapulmonary tuberculosis (EPTB) in South India. His research explores the factors influencing treatment outcomes in EPTB cases, providing valuable data that could inform better diagnostic and therapeutic approaches. This study, along with several others published in BMC Infectious Diseases and Current Microbiology, demonstrates Dr. Muthuraj’s continued commitment to improving TB treatment outcomes and understanding the complexities of the disease. His work is frequently cited by other researchers, furthering the impact of his findings in the global scientific community.

  1. Impact of rpoB gene mutations and Rifampicin-resistance levels on treatment outcomes in Rifampicin-resistant tuberculosis

    • Journal: BMC Infectious Diseases, 2025

    • Overview: This article explores the correlation between mutations in the rpoB gene and varying levels of Rifampicin resistance in Mycobacterium tuberculosis, providing insight into how these factors influence treatment outcomes in Rifampicin-resistant TB.

  2. Prevalence of extrapulmonary tuberculosis and factors influencing successful treatment outcomes among notified cases in South India

    • Journal: Scientific Reports, 2025

    • Overview: This study investigates the prevalence of extrapulmonary tuberculosis (TB) in South India and the various factors that impact the success of treatment for these cases, shedding light on regional trends and treatment challenges.

  3. Evaluation of Tridax procumbens Secondary Metabolites Anti-Tuberculosis Activity by In Vitro and In Silico Methods

    • Journal: Current Microbiology, 2025

    • Citations: 3

    • Overview: This article evaluates the anti-tuberculosis activity of secondary metabolites derived from Tridax procumbens using both laboratory-based in vitro methods and computational in silico analyses, potentially identifying new therapeutic agents for TB treatment.

Strength for the Best Innovator Award

For the Best Innovator Award, Dr. Muthaiah Muthuraj’s strengths can be showcased through the following five key topics where his innovative contributions stand out:

1. Molecular Characterization of Mycobacterium tuberculosis

  • Innovation: Dr. Muthuraj pioneered novel molecular techniques for identifying drug-resistant strains of Mycobacterium tuberculosis. His work in understanding genetic mutations, especially in the rpoB gene, has significantly advanced TB diagnostics.

  • Impact: His research has improved the accuracy of TB detection, enabling more effective treatment strategies, especially in drug-resistant TB cases.

2. Development of CRISPR-based TB Diagnostics

  • Innovation: Dr. Muthuraj has been a key figure in developing CRISPR-based diagnostic methods for tuberculosis, allowing for rapid and precise detection of TB and drug resistance markers.

  • Impact: This groundbreaking work offers a more affordable, portable, and scalable solution to TB diagnosis, which is crucial in resource-limited regions.

3. Extrapulmonary Tuberculosis (EPTB) Research

  • Innovation: His research on EPTB, particularly in South India, has identified key factors influencing successful treatment outcomes, contributing to improved management strategies for this often-overlooked form of TB.

  • Impact: This work is helping to reshape how TB is managed outside of the lungs, influencing clinical practices and policy on a global scale.

4. Natural Product-Based Anti-Tuberculosis Agents

  • Innovation: Dr. Muthuraj’s work in exploring the anti-tuberculosis potential of secondary metabolites from plants like Tridax procumbens is a pioneering approach to discovering alternative TB treatments.

  • Impact: This research is helping to diversify the drug pipeline for TB, providing new, potentially less toxic options for treatment.

5. Immunopathogenesis of TB Meningitis

  • Innovation: Dr. Muthuraj has contributed to groundbreaking studies on the immunological mechanisms behind TB meningitis, focusing on novel molecular and immune markers.

  • Impact: His findings are crucial for the development of better therapeutic strategies for TB meningitis, a condition that is difficult to diagnose and treat effectively.

RAJIREDDY MYAKALA, Engineering, Best Innovator Award

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Dr. Raji Reddy Myakala: Director at National Academy of Construction, India

Raji Reddy Myakala is a distinguished civil engineer, institutional strategist, and operations leader with over three decades of global experience in infrastructure development, construction project management, and capacity building. Currently the Director of the National Academy of Construction (NAC), Hyderabad, he has worked extensively in India, the United Kingdom, East and West Africa. With a deep-rooted passion for institutional excellence, sustainable development, and modern construction practices, he has led high-impact projects under organizations like AECOM, NHBC London, and various infrastructure firms, while also playing a pivotal role in policy advisory and skill development initiatives across the construction industry.

Online Profiles

Google Scholar Profile

Citation Metrics

As per available citation data, Raji Reddy Myakala has received 1 citation to date, with all occurring since 2020, reflecting the recent academic contributions made through international journals and conference proceedings. His h-index is 1, indicating at least one publication has been cited once.

Education

Raji Reddy Myakala holds a Master’s degree in Civil Engineering from Osmania University, India, with a strong foundation from a Bachelor’s in Civil Engineering (Honours) through the Institution of Engineers (India) and a Diploma in Civil Engineering from STBT. Complementing his engineering credentials, he completed an Introductory Diploma in Management from the Chartered Management Institute (CMI), UK, equipping him with leadership, business strategy, and team development skills critical for handling high-level institutional responsibilities and global project execution.

Research Focus

His research is primarily focused on the sustainability of rural infrastructure, particularly low-volume roads in India, through the lens of environmental impact assessments, risk management tools, and sustainability indices. His recent work includes developing decision-support systems, adopting multi-criteria analysis tools such as AHP, and integrating sustainable drainage systems and waste management practices into housing and road projects. His approach merges academic rigor with practical insights drawn from decades of on-ground construction and operational leadership.

Experience

Spanning over 30 years, his professional career covers leadership positions in global construction and engineering consultancies, including Director of NAC (India), Projects Manager at AECOM, Director of Operations in UK-based Keatons Construction, and Technical Director roles in Kenya and Ghana. He has managed large-scale projects including smart cities, military headquarters, metros, housing schemes, and renewable energy facilities. Known for his command over FIDIC, ADB, and WB contract frameworks, he has executed multi-disciplinary infrastructure projects while mentoring cross-functional teams and improving institutional governance and training programs across sectors.

Research Timeline

From 2023 onward, Raji Reddy entered the academic research domain with a focus on sustainability in civil infrastructure. In 2023, he co-authored Environmental Sustainability Assessment of Rural Road Maintenance published in SECON 2023 (Springer). In March 2024, he introduced a Decision Support Tool for Sustainability Rating of Rural Roads in the CREST 2023 series. His most recent publication in August 2024 analyzes rural road sustainability through the Analytic Hierarchy Process (AHP), published in Innovative Infrastructure Solutions, reflecting his shift from practice to impactful scholarly work.

Awards & Honors

Raji Reddy has received several prestigious awards in recognition of his professional excellence and leadership in the field of civil engineering and construction. These include the National Management & Leadership Award from the CMI (UK), the Sardar Patel Award from New Delhi’s Vallabhbhai Patel Foundation, the Glory of India Award from the International Friendship Society, and the Hindu Rattan Award from the NRI Welfare Society of India. His achievements highlight his global influence in shaping infrastructure development and institutional reforms in construction practices.

Top-Noted Publications

His top publications reflect a deep integration of practice-led knowledge and academic inquiry. They include Environmental Sustainability Assessment of Rural Road Maintenance (Springer, 2023), A Decision Support Tool for Sustainability Index (Springer, 2024), and Performance Evaluation Using AHP (Springer, August 2024). Notably, he has authored and contributed to multiple NHBC guides like Modern Methods of Construction, A Career of Choice in House Building, and Sustainable Drainage for Housing. He also led the preparation of key technical handbooks, field quality plans, and policy notes, such as the Urbanisation Effects of Hyderabad, submitted to India’s Parliamentary Committee on Environment and Forests.

  • A Decision Support Tool for the Sustainability Rating Index for the Maintenance of Low-Volume Rural Roads in India

    • Authors: RR Myakala, S Shankar

    • Published in: International Symposium on Construction Resources for Environmentally Sustainable Technologies (CREST 2023)

    • Citations: 1

    • Year: 2023

  • Sustainable Performance Evaluation of Low-Volume Rural Roads Using the Analytic Hierarchy Process

    • Authors: RR Myakala, S Sabavath

    • Published in: Innovative Infrastructure Solutions, Vol. 9(9), Article 358, Springer

    • Year: 2024

  • Environmental Sustainability Assessment of Rural Road Maintenance Using Environmental Impact Assessment Tool

    • Authors: RR Myakala, S Shankar

    • Published in: Lecture Notes in Civil Engineering, SECON 2023, Springer

    • Year: 2023

Strengths for Best Innovator Award

Innovative Research and Methodologies
Dr. Myakala has developed pioneering decision-support tools and applied multi-criteria decision-making techniques like the Analytic Hierarchy Process (AHP) to evaluate and improve the sustainability of rural infrastructure, demonstrating cutting-edge innovation in civil engineering.

Extensive Global Experience
With over 30 years of leadership across India, the UK, and Africa, he brings a unique global perspective, successfully adapting advanced construction practices and sustainability principles to diverse regional challenges.

Leadership in Institutional Development
As Director of the National Academy of Construction, he has driven modernization efforts, spearheaded capacity building, and enhanced training programs that align with sustainable development goals and emerging construction technologies.

Integration of Practice and Academia
He effectively bridges practical project management expertise with academic research, contributing to international publications and policy frameworks that impact both industry standards and scholarly discourse.

Recognition and Impact
His work has earned prestigious national and international awards, reflecting his influence in advancing sustainable infrastructure and institutional excellence, as well as his role as a mentor and innovator in the construction sector.

Eligibility for the Best Innovator Award

Dr. Raji Reddy Myakala is eminently eligible for the Best Innovator Award due to his outstanding contributions to sustainable infrastructure and civil engineering. With over three decades of global experience, he has pioneered innovative tools such as decision support systems for sustainability rating of rural roads, integrating advanced methodologies like the Analytic Hierarchy Process to address environmental and social challenges unique to low-volume rural infrastructure. As Director of the National Academy of Construction, he has demonstrated exceptional leadership in institutional capacity building and policy advisory, driving modernization and sustainability in construction practices at a national level. His scholarly work, published in esteemed international journals, reflects a rare blend of academic rigor and practical expertise. Recognized through multiple prestigious awards, Dr. Myakala’s commitment to environmental stewardship, innovation, and cross-continental project leadership positions him as a highly deserving candidate for this award.

Tomonobu Nonoyama, Computer Science, Best Researcher Award

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Dr. Tomonobu Nonoyama: Postdoctoral researcher at Akita Prefectural University, Japan

Tomonobu Nonoyama is a Japanese researcher specializing in plant biomechanics and computational modeling, currently serving as a postdoctoral researcher at the Department of Mechanical Engineering, System Science and Technology at Akita Prefectural University. With a foundation in mechanical engineering and advanced training in life sciences, his work bridges biology and physics to investigate how plants grow, sense, and respond to their environments. He has contributed to both experimental and simulation-based studies, with a growing publication record in high-impact journals such as Scientific Reports, Plant and Cell Physiology, and PLOS ONE. Dr. Nonoyama’s interdisciplinary expertise enables him to approach biological complexity with engineering precision.

Online Profiles

ORCID Profile

Dr. Nonoyama maintains an active presence across academic platforms to share his work and collaborate globally. His research output and citations can be found on Google Scholar, while ongoing projects and preprints are available on ResearchGate. He may also be listed on institutional directories such as the Akita Prefectural University website and other professional networks like ORCID, where researchers manage their publication history and affiliations. Please refer to his institutional email for further inquiries or collaboration interests.

Education

Dr. Nonoyama received his Bachelor of Science in Engineering in 2014 from Tohoku University’s Department of Mechanical and Aerospace Engineering, where he developed a strong technical foundation. He pursued graduate studies in the Department of Environmental Life Sciences at the same university, earning his Master of Science in 2016 and Ph.D. in Life Sciences in 2020 under the supervision of Prof. Satoshi Chiba. His graduate work focused on evolutionary biology and simulation of complex plant structures, laying the groundwork for his later studies in plant mechanics and modeling. This combination of mechanical and life sciences education forms the core of his interdisciplinary research approach.

Research Focus

Dr. Nonoyama’s research interests are centered on plant biomechanics, specifically investigating how mechanical forces and cellular structures influence plant growth and morphology. He uses both agent-based simulations and mathematical modeling to study complex biological processes such as cortical microtubule alignment, zygote development, and tip growth. His work also extends to analyzing movement and deformation in sensitive plants like the Venus flytrap, where engineering principles are used to infer internal biological forces. A significant part of his current research explores how plant cells coordinate structural growth through mechanical feedback and material properties, with potential applications in biomimetics and agricultural engineering.

Experience

Since April 2022, Dr. Nonoyama has been affiliated with Akita Prefectural University as a postdoctoral researcher, where he continues to develop computational models of plant development and collaborate on interdisciplinary projects in mechanical systems. Prior to that, he held a research position at the Center for Northeast Asian Studies at Tohoku University from 2020 to 2022. During that time, he transitioned his focus from purely biological systems to integrating mechanical simulations and systems theory, contributing to several cross-disciplinary publications. His academic journey reflects a progression from traditional engineering to cutting-edge life sciences research, where simulation, modeling, and empirical observation come together.

Research Timeline

Dr. Nonoyama began his academic training in 2010 at Tohoku University, completing his undergraduate studies in mechanical and aerospace engineering in 2014. From 2014 to 2016, he pursued a master’s degree in life sciences, followed by doctoral research from 2016 to 2020, focusing on hypothetical evolutionary pathways and mechanical modeling of plant forms. After earning his Ph.D., he joined Tohoku University’s Center for Northeast Asian Studies as a postdoctoral researcher, where he developed computational models of plant tissue growth and behavior. Since 2022, he has continued this work at Akita Prefectural University, broadening his research into plant mechanics and systems engineering.

Top-Noted Publication

Among Dr. Nonoyama’s body of work, one standout publication is “Agent-based simulation of cortical microtubule band movement in Arabidopsis zygotes”, published in Scientific Reports (2025). This paper presents a novel simulation approach to modeling microtubule behavior, which is critical to understanding how plant zygotes establish polarity and growth direction. By collaborating with experts in plant biology and systems modeling, Dr. Nonoyama helped bridge empirical cell biology and computational engineering. The study has been noted for its methodological innovation and relevance to developmental plant biology.

  • Agent-based simulation of cortical microtubule band movement in Arabidopsis zygotes
    Published: Scientific Reports, July 28, 2025
    DOI: 10.1038/s41598-025-11078-8
    Contributors: Tomonobu Nonoyama, Zichen Kang, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda, Satoru Tsugawa

  • KymoTip: High-throughput Characterization of Tip-growth Dynamics in Plant Cells
    Preprint: July 2, 2025
    DOI: 10.1101/2025.06.27.661917
    Contributors: Zichen Kang, Yusuke Kimata, Tomonobu Nonoyama, Toru Ikeuchi, Kazuyuki Kuchitsu, Satoru Tsugawa, Minako Ueda

  • A viscoelastic–plastic deformation model of hemisphere-like tip growth in Arabidopsis zygotes
    Published: Quantitative Plant Biology, 2024
    DOI: 10.1017/qpb.2024.13
    Contributors: Zichen Kang, Tomonobu Nonoyama, Yukitaka Ishimoto, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda, Satoru Tsugawa

  • Agent-Based Simulation of Cortical Microtubule Band Movement in Arabidopsis Zygotes
    Preprint: October 18, 2024
    DOI: 10.1101/2024.10.17.618799
    Contributors: Tomonobu Nonoyama, Zichen Kang, Hikari Matsumoto, Sakumi Nakagawa, Minako Ueda, Satoru Tsugawa

  • Temporal changes in surface tension guide the accurate asymmetric division of Arabidopsis zygotes
    Preprint: August 9, 2024
    DOI: 10.1101/2024.08.07.605794
    Contributors: Zichen Kang, Sakumi Nakagawa, Hikari Matsumoto, Yukitaka Ishimoto, Tomonobu Nonoyama, Yuga Hanaki, Satoru Tsugawa, Minako Ueda

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

Rajeev Chauhan, Engineering, Innovative Researcher Award

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Doctorate Rajeev Chauhan: Professor & Head at Gyan Ganga Institute of Technology and Sciences, Jabalpur, India

Dr. Rajeev Kumar Chauhan is a highly experienced Professor and Head of the Department of Electrical Engineering at Gyan Ganga Institute of Technology & Sciences, Jabalpur, India. With over 20 years of expertise in academia and industry, he has made significant contributions to power system planning, smart grid technologies, renewable energy integration, and demand response management. His leadership in both teaching and research has fostered innovation and collaboration within the electrical engineering community.

Online Profiles

ORCID Profile

Dr. Chauhan maintains active professional affiliations as a member of IEEE and DHV Internationals, The Netherlands. He is recognized internationally for his scholarly contributions, serving as a reviewer for prestigious journals such as Electrical Engineering (Springer Nature), IET Smart Grid, and the Journal of The Institution of Engineers (India). Additionally, he contributes as an editorial board member to Energy Science and the American Journal of Electrical Power and Energy Systems, furthering the advancement of electrical power research.

Education

Dr. Chauhan earned his Ph.D. in Electrical Engineering with a specialization in Power Systems from GLA University, Mathura, in 2022. Prior to that, he completed his M.Tech. in Microwave Engineering at U.P. Technical University, Lucknow, with research conducted at IIT BHU, a premier institution in India, in 2011. His foundational education was completed with a Bachelor of Engineering in Electrical Engineering from SRMSCET, Bareilly, affiliated to M.J.P. Rohilkhand University, in 2000.

Research Focus

His research interests encompass power system planning, smart grid development, renewable energy integration, and demand-side management. Dr. Chauhan’s work emphasizes automated demand response, distribution system reliability evaluation, and innovative strategies for energy conservation. His interdisciplinary approach bridges theoretical modeling with practical applications in modern electrical grids.

Experience

Dr. Chauhan started his career as a Consultant Engineer specializing in quality control for power transformer testing and power distribution system planning. He transitioned to academia, taking on roles as Senior Lecturer and Assistant Professor before advancing to leadership positions such as Professor and Head of Department. At GGITS, he leads research projects funded by major agencies like AICTE and TEQIP, focusing on modernizing electrical engineering labs and developing hybrid renewable energy systems.

Research Timeline

Between 2000 and 2003, Dr. Chauhan worked extensively on quality control and electrification projects in the National Capital Region. From 2003 to 2010, he expanded his research scope into microwave engineering and antenna design at IIT BHU. Since 2010, his primary focus has been on power system planning, smart grids, and demand response. His continued involvement in funded projects and numerous publications highlights his sustained contribution to advancing electrical power systems.

Awards & Honors

Dr. Chauhan is recognized for his expertise and contributions through his memberships in IEEE and DHV Internationals. He has been entrusted with peer review responsibilities for leading journals and holds editorial positions, underscoring his reputation in the field. While specific awards are not listed, his role in high-profile research projects and international conferences reflects a distinguished academic standing.

Top-Noted Publication

A standout publication in Dr. Chauhan’s portfolio is “Optimal Planning of Transmission Network for Evacuation of Power from High-Capacity Generators in Thermal Power Stations Replacing Lower Capacity Units,” published in 2024 in the Journal of The Institution of Engineers (India): Series B, Springer Nature. This work addresses critical challenges in power transmission planning, offering innovative solutions that improve efficiency and reliability in thermal power generation systems.

  • Direct Load Control Scheme for Flexible Loads under Automated Demand Response Program for Peak Demand Management, Loss Minimization, Asset Management, and Sustainable Development
    Recent Advances in Electrical & Electronic Engineering, 2024
    DOI: 10.2174/2352096516666221227150735
    Contributors: Rajeev Kumar Chauhan, Sanjay Kumar Maurya, Durg Singh Chauhan
    This paper presents a load control scheme designed to optimize peak demand management and minimize losses while supporting sustainable energy goals.

  • Replacement of LVDS to HVDS for Reduction in Distribution Losses, Improvement in Voltage Profiles and Economic Analysis for National Saving
    Recent Advances in Electrical & Electronic Engineering, 2023
    DOI: 10.2174/2352096515666220902141918
    Contributors: Rajeev Kumar Chauhan, Sanjay Kumar Maurya, Durg Singh Chauhan
    This study focuses on the technical and economic benefits of upgrading distribution systems from Low Voltage Distribution System (LVDS) to High Voltage Distribution System (HVDS).

  • Fuel-Efficiency Improvement by Component-Size Optimization in Hybrid Electric Vehicles
    World Electric Vehicle Journal, 2023
    DOI: 10.3390/wevj14010024
    Contributors: Swapnil Srivastava, Sanjay Kumar Maurya, Rajeev Kumar Chauhan
    Explores component-level optimization to enhance fuel efficiency in hybrid electric vehicles, contributing to sustainable transportation technologies.

  • Multistage Expansion Planning of Active Distribution System Network
    Recent Advances in Electrical & Electronic Engineering, 2022
    DOI: 10.2174/2352096515666220506183107
    Contributors: Rajeev Kumar Chauhan, Sanjay Kumar Maurya, Durg Singh Chauhan
    Presents a comprehensive approach for the expansion planning of distribution networks, balancing cost, reliability, and operational efficiency.

  • An Approach of Multistage Distribution System Network Expansion Planning Considering Investment, Operational Cost and Reliability of System
    Indian Journal of Science and Technology, 2020
    DOI: 10.17485/IJST/V13I30.678
    Contributor: Rajeev Kumar Chauhan
    Addresses planning strategies that integrate investment, operational costs, and system reliability for distribution network expansion.

Strength of the Innovative Researcher Award

  1. Pioneering Contributions to Power System Innovations
    The award honors Dr. Chauhan’s groundbreaking work in power system planning and smart grid technologies, recognizing his ability to develop novel methods for demand response management and renewable energy integration that address contemporary energy challenges.

  2. Bridging Theory with Practical Applications
    Dr. Chauhan’s research demonstrates a unique strength in translating complex theoretical models into practical, scalable solutions—such as automated demand response schemes and distribution system expansions—that improve grid reliability and efficiency.

  3. Interdisciplinary and Collaborative Research Approach
    The award highlights his success in integrating diverse fields like microwave engineering, electrical distribution, and hybrid vehicle technology, showcasing his innovative mindset and collaborative spirit that foster multi-disciplinary breakthroughs.

  4. Leadership in Academic and Industry Research Projects
    This recognition reflects Dr. Chauhan’s leadership in managing and executing cutting-edge research funded by national agencies, where his innovative strategies have modernized lab facilities and advanced hybrid renewable systems, contributing to sustainable development.

  5. Consistent Scholarly Excellence and Knowledge Dissemination
    The award underscores his sustained scholarly impact, demonstrated by high-quality publications in prestigious journals, editorial roles, and peer-review contributions, all of which amplify the reach and influence of his innovative research globally.

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