Vahshi Chongloi, Environmental Science, Best Researcher Award

Doctorate Vahshi Chongloi: Researcher at Nagaland University, India

Vahshi Chongloi is a dedicated researcher and scholar in the field of Forest Science, with a specific focus on bioenergy generation from invasive plants and bio-oil production. A University Gold Medalist in Forest Science, she has demonstrated an exceptional academic track record, consistently contributing to the scientific community through research and publications in high-impact journals. Her research interests also extend to plant biodiversity, population ecology, and environmental sustainability. Vahshi is currently pursuing a Doctor of Philosophy (Ph.D.) in Forest Science at Nagaland University, where she is actively working on investigating innovative methods for utilizing invasive plant species to produce sustainable energy solutions. Her work is at the intersection of environmental science, agriculture, and renewable energy technologies, and she is passionate about using science to address global challenges like climate change and energy scarcity.

Online Profiles

Google Scholar Profile

Vahshi Chongloi maintains an active online presence where her research and professional activities are showcased. On Google Scholar, you can access her publication list, citations, and other research metrics. She is also present on ResearchGate, where she shares her papers, engages in discussions, and collaborates with other researchers in the field of bioenergy. Her LinkedIn profile highlights her professional journey, offering insight into her academic and research collaborations.

Research Impact

Vahshi Chongloi’s research contributions have begun to make a notable impact in the field of bioenergy and invasive species management. She has garnered a total of 4 citations for her publications, with an h-index of 1. These early career metrics demonstrate a growing recognition of her work, particularly in the fields of environmental science and biomass valorization. As her research continues to expand, these numbers are expected to rise, solidifying her position as a rising scholar in the bioenergy and sustainable energy sectors.

Education

Vahshi completed her Masters of Science (M.Sc.) in Forest Science from the Department of Forestry, Nagaland University in 2019, where she emerged as the University Gold Medalist for her academic excellence. She also completed her Bachelor of Science (B.Sc.) in 2015 from St. Joseph’s College, Jakhama, Nagaland University. During her academic years, Vahshi demonstrated a strong commitment to research, contributing to various projects and studies related to forest ecology, bioenergy, and invasive species management. Building on this foundation, she is now pursuing her Doctor of Philosophy (Ph.D.) at the same university, focusing on sustainable bioenergy production through the valorization of invasive plant species.

Research Focus

Vahshi’s research primarily revolves around the application of invasive plant species for bioenergy generation, focusing on the production of bio-oil and biochar through pyrolysis. She is particularly interested in the thermochemical conversion of invasive plants like Lantana camara, Ageratina adenophora, and Stachytarpheta jamaicensis, which are often considered environmental threats, into valuable bioenergy resources. Vahshi also explores the bioactive properties of these plants, investigating their antioxidant, antimicrobial, and phytochemical profiles. Her research aims to address two critical issues: the spread of invasive species in local ecosystems and the search for sustainable, renewable energy alternatives. Through her work, Vahshi hopes to contribute to the development of a bio-refinery system that converts agricultural and invasive biomass into value-added products, such as biofuels and medicinal extracts.

Experience

Vahshi’s research experience spans several years of active participation in projects related to bioenergy, plant ecology, and sustainable resource management. She was awarded the INSPIRE Fellowship by the Department of Science & Technology, Government of India, which allowed her to carry out extensive research on bio-oil production from invasive species. Her involvement in these projects has provided her with hands-on experience in thermochemical processes, biomass characterization, and sustainability assessments. Vahshi has also contributed to multiple international conferences, presenting her research findings and engaging with experts in the field. In addition to her research work, she has contributed to curriculum development, field research, and scientific consultations within the academic community of Nagaland University.

Research Timeline

Vahshi’s academic and research timeline reflects a steady progression of deepening expertise in the field of forest bioenergy. In 2015, she began her journey with a B.Sc. in Forestry from St. Joseph’s College, which laid the groundwork for her future endeavors in bioenergy. After completing her M.Sc. in Forest Science in 2019, she embarked on her Ph.D. journey, underpinned by the INSPIRE Fellowship. Over the past few years, she has focused on invasive species and their potential for energy production, specifically through pyrolysis and biomass valorization. Throughout this period, Vahshi has produced several notable publications and has been involved in groundbreaking research that challenges traditional approaches to biomass waste management. Moving forward, she aims to continue exploring biorefinery systems, focusing on developing cost-effective and sustainable methods for bio-oil production from underutilized plant biomass.

Awards & Honors

Vahshi has been honored with several prestigious awards, recognizing her academic excellence and research achievements. Among the most notable is the University Gold Medal she received for securing first class in her M.Sc. program. In addition to her academic accolades, she has been a recipient of the INSPIRE Fellowship by the Department of Science & Technology, Government of India, which acknowledges her potential as a future leader in the field of environmental science. Vahshi’s excellence in research and presentations has also earned her recognition in national seminars, including awards for Best Oral Presentation at the Two-Day National Seminar on Land Use and Bioresource Management for Sustainable Livelihood, hosted by Mizoram University in 2023. These honors have played a pivotal role in establishing her as a rising expert in the field of bioenergy and invasive plant research.

Top-Noted Publications

Vahshi Chongloi’s contributions to the scientific community are well reflected in her high-impact publications, some of which have shaped the discourse on bioenergy and invasive species management. A few of her top papers include:

  1. “Miscellaneous Prospects of Invasive Lantana camara Biomass – A Standpoint on Bioenergy Generation and Value Addition” published in Environmental Science and Pollution Research (2024). This paper explores the potential of Lantana camara biomass as a feedstock for bioenergy generation and value-added products, such as biochar.

  2. “Phytochemical Profiling, Antioxidant and Antimicrobial Investigations on Viburnum simonsii” in Future Journal of Pharmaceutical Sciences (2023). This work investigates the medicinal properties of a rare ethnomedicinal plant from Meghalaya, India, providing insights into its antimicrobial and antioxidant potential.

  3. “Antioxidant, Antimicrobial and In Silico Investigations on Pyrolytic Bio-oil from Invasive Stachytarpheta jamaicensis Biomass”, accepted in Environmental Science and Pollution Research (2023). This study highlights the bioactive properties of bio-oil produced from Stachytarpheta jamaicensis, focusing on its potential as an eco-friendly energy resource.

These publications illustrate Vahshi’s dedication to both advancing scientific knowledge and addressing real-world environmental challenges through the use of invasive species for bioenergy production and sustainable development.

Musa Esit, Environmental Science, Best Researcher Award

Assoc. Prof Musa Esit: Researcher at Adiyaman University, Turkey

Musa Eşit is a highly accomplished Turkish civil engineer with a deep specialization in hydraulic engineering, hydrology, and climate change impacts on water resources. Holding a PhD from Gaziantep University, Musa has built a career focused on understanding and managing hydrological droughts. His research is driven by the application of advanced statistical techniques, such as copula functions, to analyze drought severity, duration, and frequency in Turkish river basins. His academic journey has included substantial international exposure as a visiting scientist at Auburn University in the USA, where he collaborated on soil moisture drought forecasting and climate-hydrological modeling. A passionate researcher and educator, Musa aims to contribute to sustainable water management strategies for regions prone to extreme climate conditions.

Online Profiles

Google Scholar Profile

Musa Eşit maintains an active presence on several academic and professional platforms. His publications are available on ResearchGate, where his work on drought analysis and hydrological modeling has been widely cited. His Google Scholar profile further reflects his contributions to the field, showcasing an impressive list of peer-reviewed articles. Musa is also active on LinkedIn, where he connects with fellow academics, researchers, and professionals in the civil engineering and water resources sectors. His online presence serves as a bridge for collaboration on ongoing and future research projects, fostering discussions in his areas of expertise.

Musa Eşit’s research has had a significant impact on the scientific community, as reflected in his citation metrics. As of now, his work has accumulated 551 total citations, with 520 citations coming since 2020, showing the recent relevance and growing influence of his research. His h-index stands at 13, with 12 in the last few years, demonstrating that his research has been consistently cited and widely recognized. Furthermore, Musa has an i10-index of 15, with 14 articles cited at least 10 times, which highlights his continued contribution to the field and his growing presence in the academic literature. These metrics underscore the importance of his work in the domain of hydrology, climate change, and water resources management.

Education

Musa Eşit’s educational background is rooted in civil engineering, with a strong focus on hydraulic engineering and hydrology. He completed his undergraduate studies in Civil Engineering at Gaziantep University, graduating in 2012. Building on this foundation, he pursued a master’s degree at the same institution, where he delved into the hydraulic geometry of the Seyhan River. His doctoral work, completed in 2021, was dedicated to the application of copula functions for bivariate drought frequency analysis in the Ceyhan Basin. The depth of his academic training enables him to blend practical engineering knowledge with advanced research methodologies, making him a leading expert in his field.

Research Focus

Musa’s research focuses on the intersection of hydrology, climate change, and water resources management. A significant portion of his work examines the spatiotemporal variability of drought events in Turkish river basins, using both traditional and innovative statistical techniques. By applying copula-based models, Musa investigates the relationships between different hydrological variables to better understand drought risk. His research also explores the use of machine learning and artificial intelligence to predict meteorological and hydrological variables, aiming to improve drought early warning systems and management strategies. Additionally, he studies the influence of climatic extremes on river basin dynamics, with a focus on the implications for sustainable water resource planning.

Experience

Musa Eşit has extensive research and teaching experience in the field of hydraulic engineering. His tenure at Adıyaman University, where he has been working since 2013, has seen him involved in various high-impact research projects on water resources and climate change. During his time as a visiting scientist at Auburn University (2019-2020), Musa collaborated with global experts to develop cutting-edge drought forecasting methods. Earlier in his career, he worked on projects related to hydraulic geometry and the low-flow analysis of the Seyhan and Ceyhan rivers. His work spans a broad spectrum of applications, including environmental flow assessments, water quality monitoring, and the use of GIS and remote sensing technologies for hydrological analysis. Musa’s multidisciplinary expertise allows him to address both the technical and environmental challenges associated with hydrological extremes.

Research Timeline

Musa Eşit’s research trajectory began with his master’s thesis on the hydraulic geometry of the Seyhan River, a foundational project that set the stage for his future work. In 2015, he started his PhD, where his focus shifted to analyzing drought events in the Ceyhan Basin, using advanced statistical tools such as copula-based models. By 2020, Musa was working on ongoing projects like drought risk maps for the Middle Euphrates, Kızılırmak, and Yeşilırmak Basins, integrating hydrological data with copula models to predict future drought scenarios. His later work includes investigating drought trends using deep learning and AI, pushing the boundaries of traditional hydrology. As of 2023, Musa continues to explore the impacts of climate change on hydrological systems, contributing significantly to both national and international research efforts.

Awards & Honors

Musa Eşit’s dedication to advancing hydrological science has earned him recognition at both national and international levels. Notably, his work during his time as a visiting scientist at Auburn University garnered significant praise for its methodological innovation in drought prediction. His contributions to international conferences and symposia, particularly on topics related to water resource management and climate change, have established him as a leading researcher in the field. His research outputs have not only been influential in the academic world but have also had practical implications for water management policies in regions susceptible to drought. Musa’s work continues to inspire young researchers and practitioners in the field of civil engineering and hydrology.

Top-Noted Publication

Musa Eşit’s publication record includes several high-impact articles, but perhaps his most influential work is the 2021 paper “Seasonal to Multi-Year Soil Moisture Drought Forecasting,” published in npj Climate and Atmospheric Science, co-authored with Sanjiv Kumar. This paper has significantly advanced the understanding of multi-year drought forecasting by incorporating both seasonal variability and long-term soil moisture trends. The publication has been widely cited in climate science and hydrology, highlighting its impact on the field of drought prediction. Other notable works include his deep learning-based approaches to meteorological drought estimation, and his copula-based bivariate drought frequency analysis, both of which have received attention for their novel applications in hydrology and water resources engineering.

  • Seasonal and Annual Precipitation Characteristics of Türkiye and the Influence of Atmospheric-Ocean Interactions
    M. Esit, M.I. Yuce, I. Yasa, I.H. Deger
    Stochastic Environmental Research and Risk Assessment, 1-18, 2025
    This paper investigates the seasonal and annual precipitation patterns across Türkiye and explores how atmospheric and oceanic interactions influence these precipitation characteristics. The study emphasizes the complex relationship between climatic patterns and hydrological impacts in the region.

  • Climate Change Impacts on Hydrological and Meteorological Variables in Diyarbakır Province: Trend Analysis and Machine Learning-Based Drought Forecasting
    E. Akbas, R. Çelik, M. Esit, I.H. Deger
    Theoretical and Applied Climatology, 156 (6), 295, 2025
    This research analyzes the impacts of climate change on hydrological and meteorological variables in Diyarbakır, using trend analysis and machine learning techniques to forecast drought conditions. The paper underscores the role of advanced modeling in understanding regional climate dynamics and improving drought preparedness.

  • Spatio-Temporal Variability of Hydrological Drought and Trends: Implementation of Classical and Innovative Approaches
    I.H. Deger, M.I. Yuce, M. Esit
    Water Resources Management, 1-32, 2025
    This paper focuses on the spatio-temporal variability of hydrological droughts and trends across Türkiye. It contrasts classical approaches with innovative methods in drought trend analysis, contributing new insights into the temporal dynamics of hydrological drought events.

  • Enhancing Sub-Seasonal Soil Moisture Forecasts Through Land Initialization
    Y. Duan, S. Kumar, M. Maruf, T.M. Kavoo, I. Rangwala, J.H. Richter, et al.
    npj Climate and Atmospheric Science, 8 (1), 100, 2025
    In collaboration with other experts, Musa contributes to improving soil moisture forecasting techniques. This study explores how land initialization techniques can enhance sub-seasonal forecasts, with significant implications for drought and water resource management.

  • Better with Fewer Features: Climate Dynamics Estimation for Van Lake Basin Using Feature Selection
    Ö. Çoban, M. Esit, S. Yalçın, F. Bozkurt
    Environmental Science and Pollution Research, 32 (10), 5849-5873, 2025
    This paper focuses on climate dynamics in the Van Lake Basin, utilizing feature selection methods to enhance the accuracy of climate dynamics estimation models. The work highlights the importance of reducing complexity in predictive models without compromising their performance.

Saurabh Pandey, Agriculture, Best Researcher Award

Asst. Prof Saurabh Pandey: Assistant Professor at Indira Gandhi Agricultural University (IGKV) Raipur, India

Saurabh Pandey is an Assistant Professor in the Department of Molecular Biology and Biotechnology at IGKV, Raipur, India, with a keen focus on plant stress biology, crop improvement, and molecular plant-pathogen interactions. He completed his PhD from the National Institute of Plant Genome Research (NIPGR), New Delhi, with his research centered on heat stress tolerance in plants and developing genetic tools for stress resilience. Throughout his academic journey, he has built expertise in genomic approaches, particularly in studying heat stress mechanisms, and applied these to improve crop resilience to environmental challenges. Dr. Pandey has been an active researcher in plant molecular biology and has contributed extensively to understanding plant responses to both biotic and abiotic stress factors. His research aims to create sustainable, climate-resilient crops that can thrive under extreme environmental conditions.

Online Profiles

Scopus Profile

LinkedIn: Saurabh Pandey – LinkedIn
Dr. Pandey’s LinkedIn profile serves as a networking platform for fellow researchers, students, and professionals in the field of molecular biology and biotechnology. It provides a glimpse into his academic journey, research projects, professional engagements, and collaborations. His active presence on LinkedIn allows for fruitful discussions and exchanges with experts in the molecular plant sciences and allied sectors.

Dr. Saurabh Pandey has made notable contributions to the fields of molecular biology, plant biotechnology, and stress physiology, with a particular emphasis on improving crop resilience under biotic and abiotic stresses. His research has been extensively cited, with 949 citations spread across 883 documents. As an active researcher, he has contributed to 57 scientific publications, and his h-index stands at 15, reflecting the impact and quality of his work in the academic community.

Education

Dr. Pandey’s educational background is deeply rooted in plant molecular biology. After completing his undergraduate and postgraduate degrees in Biotechnology, he pursued a PhD in Plant Stress Biology at NIPGR, New Delhi. His doctoral research was centered around identifying molecular markers for heat stress tolerance in crops. During his postdoctoral training at NIPGR, he investigated host-pathogen interactions, focusing on viral diseases in plants and their molecular control. His work has provided valuable insights into the functional genomics of stress responses, particularly related to viral resistance and heat tolerance mechanisms in food crops.

Research Focus

Dr. Pandey’s primary research focus lies in enhancing plant resilience against biotic and abiotic stress factors, with an emphasis on understanding how molecular pathways can be engineered to boost crop productivity under challenging environmental conditions. His current research explores the molecular mechanisms underlying heat stress tolerance, with a particular interest in how crops can adapt to rising global temperatures. Additionally, his work on plant-virus interactions aims to develop genetic strategies for controlling plant viral diseases, particularly in tropical crops like banana. Dr. Pandey also investigates the potential of molecular markers and gene editing tools to enhance crop breeding strategies, with an aim to improve food security through more resilient crops.

Experience

Dr. Pandey has gained considerable experience in both academic and research environments. His tenure as a Project Scientist-I at NIPGR allowed him to delve deep into plant-virus interactions, where he worked on improving viral resistance in important crop species. His academic career includes positions as an Assistant Professor at Guru Nanak Dev University, Amritsar, and IGKV, Raipur, where he teaches courses on plant biotechnology, molecular biology, and genetic engineering. In addition to his teaching, Dr. Pandey actively mentors graduate students and leads several research projects focused on plant stress biology and molecular crop improvement.

Research Timeline

  • 2016-2020: PhD in Plant Stress Biology, NIPGR, New Delhi – Focused on heat stress tolerance and molecular mechanisms in plants.

  • 2020–2021: Project Scientist-I, NIPGR, New Delhi – Investigated molecular aspects of plant-virus interactions.

  • 2021–2024: Assistant Professor, Guru Nanak Dev University, Amritsar – Contributed to teaching, research, and student mentorship.

  • 2024–Present: Assistant Professor, IGKV, Raipur – Focus on plant resilience, stress biology, and molecular interventions for crop improvement.

This timeline marks Dr. Pandey’s academic growth and his continuous efforts to bridge the gap between plant molecular research and practical applications in crop improvement.

Awards & Honors

Dr. Pandey’s scientific achievements have been recognized through various awards, including the prestigious SERB Start-up Research Grant, awarded for his work on developing molecular strategies for viral resistance in banana. He has also received recognition for his contributions to climate-resilient agriculture and plant biotechnology, including Best Paper Awards in national and international conferences. In 2022, Dr. Pandey was invited to present his research at the International Conference on Plant Stress Tolerance and Crop Biotechnology. His dedication to innovation in plant molecular biology has earned him accolades both within India and internationally.

Top-Noted Publication

Dr. Pandey has contributed to several impactful publications that have significantly advanced the understanding of plant stress mechanisms and crop improvement. Notable publications include:

  1. “Interaction between Pathogenesis‐Related (PR) Proteins and Phytohormone Signaling Pathways in Conferring Disease Tolerance in Plants”, Physiologia Plantarum, 2025 – Explores how plant defense mechanisms, mediated by PR proteins, contribute to stress tolerance in plants.

  2. “Salicylic Acid: A Key Player in the Regulation of Interactions Between Heat Stress and Plant Defense”, Journal of Plant Growth Regulation, 2024 – Highlights the role of salicylic acid in mitigating the impacts of heat stress and enhancing disease resistance in crops.

  3. “Genome-Wide Comparative Analysis of Photosynthetic Enzymatic Genes Provides Novel Insights into Foxtail Millet and Other Cereals”, Frontiers in Genetics, 2024 – Offers a genome-wide perspective on photosynthetic enzymes, focusing on their role in crop adaptation to environmental stress.

Olanireti Oni, Environmental Science, Best Researcher Award

Doctorate Olanireti Oni: PhD. Graduate at Cyprus International University, Turkey

Dr. Olanireti Olasehinde Oni is an Environmental Scientist with a Ph.D. from Cyprus International University, where he specializes in applying Artificial Intelligence (AI) to environmental research. His expertise spans a range of fields, from predictive modeling and environmental informatics to pollution monitoring and ecosystem assessment. With an interdisciplinary approach, Dr. Oni integrates machine learning techniques into environmental data analysis, particularly for time-series and numerical datasets. Over the years, he has developed a passion for using computational methods to solve pressing environmental challenges, and is committed to advancing the field by contributing to projects that bridge environmental science and emerging technologies. He is currently seeking research-focused roles in institutes that emphasize computational solutions for environmental sustainability.

Online Profiles

Google Scholar Profile

Dr. Oni maintains an active presence in the academic and professional community. He is a peer reviewer for multiple high-impact journals including AI, Life, Data, Sensors, and Applied System Innovation, all published by MDPI. Through these platforms, he contributes to the advancement of knowledge in the intersection of AI and environmental sciences. Additionally, Dr. Oni shares his academic work and research findings on platforms like LinkedIn, GitHub, and ResearchGate, where his research on AI applications in environmental science is readily accessible. His professional network continues to grow as he engages with fellow researchers, policymakers, and industry experts, contributing his insights to broader conversations on sustainability, data science, and environmental preservation.

Education

Dr. Oni’s academic background is marked by a strong foundation in geosciences and a progressive focus on environmental science and technology. He is currently pursuing a Ph.D. in Environmental Science at Cyprus International University (2017-2025), with a focus on integrating AI into environmental research. Before this, Dr. Oni obtained an MSc. in Petroleum Geology and Sedimentology from the University of Ibadan (2012-2014), where he gained a deeper understanding of petroleum exploration, sedimentary processes, and geological formations. His journey began with a BSc. in Geology and Mineral Sciences from the University of Ilorin, Ilorin (2006-2010), where he developed a strong analytical foundation in earth sciences. His educational experiences have shaped his interdisciplinary approach to environmental issues, combining traditional geology with modern AI techniques to find innovative solutions.

Research Focus

Dr. Oni’s research focuses on the convergence of Artificial Intelligence and environmental science. Specifically, his work aims to address key global challenges such as climate change, environmental degradation, pollution monitoring, and ecosystem health. By applying machine learning algorithms—ranging from supervised and unsupervised learning to deep learning and recommendation systems—he analyzes large-scale environmental datasets to predict and mitigate environmental risks. His research also explores how AI can improve environmental decision-making processes, whether in assessing the impact of climate change on ecosystems or predicting air and water pollution levels. Furthermore, Dr. Oni is dedicated to ensuring that his research has practical applications, including using AI for real-time monitoring and management of environmental hazards.

Experience

Dr. Oni’s professional journey spans multiple roles that combine technical expertise with project management responsibilities. As a Geotechnician/Petroleum Geologist at Albean Integrated Services Limited (2011-2017), he led a number of high-profile projects in petroleum exploration, mining, and civil engineering. His primary tasks included conducting geological surveys, performing stability studies for slopes and fills, and developing geotechnical data acquisition plans. He also worked on evaluating ore deposits, calculating ore reserves, and designing mine layouts. Beyond fieldwork, Dr. Oni utilized his data analysis skills to implement quality control measures, resulting in improved safety and efficiency in drilling operations. His experience also extends to computer applications in geophysics and petroleum geology, where he developed software solutions for geological data processing and analysis. His diverse background provides him with a unique perspective on how geotechnical and environmental issues can be addressed through AI-based technologies.

Research Timeline

Dr. Oni’s research timeline reflects an evolving interest in the intersection of computational methods and environmental science. His early academic work involved geotechnical and geological studies, laying the groundwork for his subsequent exploration of machine learning and AI. Since starting his Ph.D. in 2017, he has shifted his focus toward developing AI-based models for environmental data analysis. Key milestones in his research include the creation of predictive models for climate science, the application of machine learning to monitor and mitigate pollution, and the development of algorithms for assessing ecosystem health. Dr. Oni’s ongoing Ph.D. work involves refining these methodologies and applying them to real-world environmental challenges. Throughout this journey, he has collaborated with international researchers and participated in interdisciplinary research initiatives that emphasize the role of AI in advancing environmental sustainability.

Awards & Honors

Dr. Oni’s contributions to environmental science and AI have been widely recognized. His work has earned him invitations to review for prestigious academic journals, which is a testament to the high regard in which his research is held by the scientific community. Additionally, Dr. Oni has been awarded research grants and fellowships, enabling him to pursue projects at the cutting edge of AI and environmental science. His leadership in interdisciplinary research teams has been instrumental in the success of several collaborative projects. Furthermore, Dr. Oni’s innovative work has been acknowledged in various academic conferences, where he has presented his findings and engaged in discussions on the future of AI in environmental research. His ongoing contributions to the scientific community continue to influence both academic and practical approaches to environmental challenges.

Top-Noted Publication

Dr. Oni’s notable publication, “Ultrasound and Ultraviolet Activated Persulfate Oxidation for the Removal of Paracetamol from Water,” published in Water, Air, and Soil Pollution (2025), demonstrates his ability to integrate environmental science with cutting-edge technology. In this study, he explores novel methods for removing pharmaceutical contaminants from water, focusing on the use of advanced oxidation processes activated by ultrasound and ultraviolet light. This research has significant implications for water treatment and pollution control, offering a potential solution to pharmaceutical contamination—a growing environmental concern. The publication has already garnered attention for its innovative approach to addressing emerging contaminants in aquatic environments, and is expected to influence future research and policy in water quality management.

  • Ultrasound and Ultraviolet Activated Persulfate Oxidation for the Removal of Paracetamol from Water
    O.O. Oni, Ş. Doğan, Water, Air, & Soil Pollution, 236(8), 508, 2025
    This research presents an innovative method for removing pharmaceutical contaminants, specifically paracetamol, from water using ultrasound and ultraviolet-activated persulfate oxidation. The study has significant implications for water treatment processes and environmental pollution control, especially in addressing emerging contaminants in aquatic systems.

  • Lithostratigraphy and Palynofacies Appraisal of the Northern Depobelt Onshore, Niger Delta
    O.A. Boboye, Journal of Science Research, 15(1), 11-11, 2016
    This publication focuses on the lithostratigraphic and palynofacies analysis of the northern depobelt in the Niger Delta region. It provides valuable geological insights into the sedimentary processes and depositional environments in this key oil-producing area.

Halah Amer Abduljabbar, Medicine, Best Researcher Award

Doctorate Halah Amer Abduljabbar: Doctoral Candidate at Department of Biology, College of Science, Al-Mustansiriyah University, Iraq

Hala Amer Abd Al-Jabbar is an accomplished Assistant Lecturer in Biology at Al-Mustansiriyah University, where she specializes in teaching medical laboratory techniques and advancing research in immunology and molecular biology. With a Master’s degree earned with distinction, she combines strong practical skills in DNA sequencing and immunological assays with a passion for fostering academic growth and social initiatives, particularly those supporting women’s empowerment. Hala is recognized for her dedication to both scientific excellence and community engagement.

Online Profiles

ORCID Profile

Hala actively maintains an ORCID profile to showcase her research outputs and academic achievements: https://orcid.org/0000-0003-1710-7472. Beyond this, she participates in academic networks and collaborates with colleagues locally and internationally. Her professional presence also supports her outreach efforts in volunteer projects and university committees, amplifying her role as an educator and advocate.

Education

Hala completed her Master’s degree in Biology from Al-Mustansiriyah University in 2020, graduating second in her class with distinction, which reflects her strong academic performance and research aptitude. Prior to this, she earned a Turkish Language Diploma from Ondokuz Mayıs University in Turkey in 2017, where she ranked first in her cohort with a 90% score. She also holds a Bachelor’s degree in Biology from the University of Baghdad, awarded in 2014, providing her with a solid foundation in biological sciences.

Research Focus

Her research primarily explores the application of immunological techniques such as ELISA, flow cytometry, and immunoassays to investigate autoimmune disorders and reproductive immunology. Additionally, she is proficient in molecular techniques including DNA and RNA extraction, PCR amplification, gel electrophoresis, and next-generation sequencing (NGS). Hala integrates bioinformatics tools and statistical software in analyzing genetic and immunological data, aiming to bridge laboratory findings with clinical applications.

Experience

Hala has been serving as an Assistant Lecturer in the Department of Biology at Al-Mustansiriyah University since 2020, where she teaches a variety of courses in medical laboratory techniques and supervises practical lab sessions. From 2021 to 2023, she lectured at Al-Turath University College, further expanding her teaching portfolio. She actively contributes to the academic community through her membership in examination and departmental committees and plays a pivotal role in the Women Empowerment Unit and event organizing committees within her institutions.

Research Timeline

Her research journey began during her Master’s studies and has continued steadily since 2020. Throughout this period, she has contributed to several projects and publications focusing on immunological diagnostics and molecular biology techniques. Her recent work investigates the correlation between clinical grading scales and biochemical markers, reflecting her interest in translational research that can improve patient care in medical laboratory sciences.

Awards & Honors

Hala has been recognized for academic excellence throughout her career, graduating with distinction and securing top ranks in her Master’s program and Turkish language studies. These honors underscore her commitment to high standards in both academic and extracurricular pursuits. Her active participation in university committees and social initiatives further highlights her leadership qualities and dedication to fostering an inclusive educational environment.

Top-Noted Publication

One of her most notable publications is: AL-Shargi, S. A., Amer, H., & Sharba, Z. (2022). Relationship Between Brodsky Grading Scale of Palatine Tonsils and Vitamin D in Recurrent Tonsillitis. This work highlights her contribution to understanding the clinical significance of immunological markers in common ENT conditions, demonstrating her ability to combine clinical insights with laboratory research for meaningful outcomes.

  • Halah Amer Abduljabbar, Majid Mohammed Mahmood, Methaq J. Al-Jbooriay, Manal Taha Al-obaidi.
    Concurrent autoimmune and endocrine dysregulation in polycystic ovary syndrome.
    Middle East Fertility Society Journal, 2025-07-12.
    DOI: 10.1186/s43043-025-00236-7

  • Ismael, R., Alhameedawi, A., Abbas, R., Alsallameh, S., Amer, H., Firat, M., Karkhane, M.
    Staphylococcus aureus virulence genes and methicillin-resistant gene detection and antimicrobial resistance profiles isolated from different infection sites.
    Egyptian Pharmaceutical Journal, 2023.
    DOI: 10.4103/epj.epj_187_22

  • AL-Sharqi, S. A. H., Amer, H., Sharba, Z.
    Relationship between Brodsky Grading Scale of Palatine Tonsils and Vitamin D of Recurrent Tonsillitis and Tonsillar Hyperplasia in Children.
    Malaysian Journal of Medicine and Health Sciences, 2022.

Hassana Mahfoud, Engineering, Best Researcher Award

Prof. Dr Hassana Mahfoud: Professor and researcher at ENSAM Moulay Ismail University Meknes Morocco, Morocco

Prof Dr. Hassana Mahfoud is a university lecturer and researcher from Morocco, specializing in industrial engineering, maintenance systems, and quality management. With a diverse background spanning academia, research, and industry, she has developed expertise in smart maintenance, sustainability, and digital transformation. Over the past decade, she has contributed to numerous academic programs across Morocco and supervised a wide range of student projects, from undergraduate to doctoral levels. Her work focuses on improving performance and reliability in both healthcare and industrial sectors through innovative engineering methods and data-driven decision-making.

Online Profiles

Google Scholar Profile

As of 2025, Dr. Hassana Mahfoud’s research has been cited 169 times in total, with 119 citations since 2020. She has an h-index of 5 and an i10-index of 4, reflecting a growing impact in the fields of maintenance engineering, healthcare systems optimization, and industrial sustainability.

Education

Dr. Mahfoud earned her PhD in Industrial Engineering from the Faculty of Science and Technology in Fez in 2017. Her doctoral research focused on maintenance optimization in the healthcare domain, blending reliability modeling and decision analysis. She previously completed her engineering degree from the National School of Applied Sciences, Fez, in 2011, specializing in industrial systems. Her academic journey began with a Baccalaureate in Science Mathematics from Moulay Driss High School in 2006, laying the foundation for her analytical and systems-based thinking.

Research Focus

Her current research lies at the intersection of predictive maintenance, smart technologies, and sustainable engineering practices. She investigates how Industry 4.0 tools—such as AI, IoT, and data analytics—can be applied to improve maintenance strategies, especially in the healthcare and energy sectors. Additionally, she explores the role of education in shaping resilient industrial actors by rethinking curricula, integrating digital tools, and promoting project-based learning approaches. Circular economy concepts and eco-responsible maintenance systems are also key pillars in her work.

Experience

Dr. Mahfoud has over 12 years of academic and industry experience. Since 2022, she has been a full-time lecturer at ENSAM Meknes (Moulay Ismail University), teaching core subjects like Production Systems, Statistical Process Control, and Maintenance Engineering. Before that, she served as an assistant professor at Cadi Ayyad University (2019–2022) and a permanent professor at ESISMP Casablanca (2017–2019). Her early career included R&D roles in biomedical maintenance at FST Fez and industrial leadership at SBS Porcher in Kenitra, where she oversaw technical operations and industrial project management.

Research Timeline

Her early research (2014–2016) focused on reliability models and maintenance strategies for critical healthcare equipment, contributing to the development of delay time models and risk prioritization tools. Between 2016 and 2020, she advanced hybrid decision-making frameworks and explored cost-effective healthcare maintenance models. From 2020 onwards, her focus shifted toward predictive and sustainable maintenance 4.0, with applications in solar energy plants and circular supply chains. More recently, she has been working on smart systems for maintenance, digital prototyping, and AI-driven educational tools.

Awards & Honors

Dr. Mahfoud has been recognized for her academic contributions and peer-review excellence. She received a Certificate of Excellence in Reviewing from the Journal of Advances in Mathematics and Computer Science. She has also served as a scientific committee member for major conferences, including AI2SD, FSDM, and ICSIEM. She completed a certified training program in University Pedagogy at CFCC Marrakech, enhancing her competencies in digital teaching, assessment, and educational innovation. Her work in Fab Lab innovation and 3D printing has been supported by the AUF as part of Morocco’s digital transformation efforts in education.

Top-Noted Publication

One of her most impactful publications is the 2018 article titled “Dependability-based maintenance optimization in healthcare domain”, published in the Journal of Quality in Maintenance Engineering (Emerald Publishing). The paper offers a dependability-driven framework for optimizing maintenance operations in medical settings, integrating reliability modeling and cost analysis. This work has been widely cited and serves as a foundation for subsequent research in evidence-based, smart healthcare maintenance. Other notable publications include contributions to Springer’s Lecture Notes series and IEEE conference proceedings on predictive maintenance and circular healthcare supply chains.

  • Real-Time Predictive Maintenance-Based Process Parameters: Towards an Industrial Sustainability Improvement
    H. Mahfoud, O. Moutaoukil, M. Toum Benchekroun, A. Latif
    International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD), 2023 — 4 citations

  • What can we learn about educational project management in times of covid-19?
    H. Mahfoud
    International Journal of Educational Research Review, Vol. 6(2), 2021, pp. 75-81 — 3 citations

  • Etude des stratégies de maintenance biomédicale: Situation actuelle et perspectives
    H. Mahfoud, A. El Barkany, A. El Biyaali
    Xème Conférence Internationale: Conception et Production Intégrées, 2015 — 3 citations

  • Optimisation des stratégies de maintenance d’un système complexe – Analyse bibliographique
    H. Mahfoud
    Congrès International du Génie Industriel et Management des Systèmes (CIGIMS), 2015 — 3 citations

  • A novel conceptual framework for predictive maintenance of medical devices in a circular healthcare supply chain
    O. Moutaoukil, H. Mahfoud, I. Bouhaddou
    International Conference on Control, Automation and Diagnosis (ICCAD), 2024 — 2 citations

Andréa Jorge Silva, Engineering, Best Researcher Award

Doctorate Andréa Jorge Silva: Medical Anesthesiologist and Head of Medical Care Division, Antônio Pedro University Hospital – Federal Fluminense University – Faculty of Medicine, Brazil

Dr. Andréa Jorge Silva is a highly experienced Brazilian anesthesiologist and academic, currently serving as the Head of the Medical Care Division at Antonio Pedro University Hospital, part of the Federal Fluminense University. With over 30 years in clinical practice, she has consistently integrated her medical expertise with research and innovation. Her work focuses on improving patient care, especially in the field of airway management and anesthesia safety. Dr. Silva is known for her ability to lead multidisciplinary teams, translating clinical needs into practical technological solutions. Her recent innovations in 3D-printed medical devices during the COVID-19 pandemic highlight her commitment to accessible healthcare in low- and middle-income settings.

Online Profiles

ORCID Profile

Dr. Silva maintains a professional digital presence primarily through LinkedIn, where she shares updates about her research, medical innovations, conference presentations, and collaborations with interdisciplinary teams. Her profile also highlights her experience in medical education, leadership roles in hospital management, and interest in emerging healthcare technologies. Her LinkedIn profile serves as a platform for networking with peers, students, and international researchers in anesthesiology and surgical sciences. You can connect with her here: linkedin.com/in/andréa-silva-872949247.

Education

Dr. Andréa Jorge Silva graduated with her Doctor of Medicine (MD) degree from the Federal Fluminense University on October 31, 1991. She went on to complete a medical residency in anesthesiology, gaining in-depth training in perioperative care, airway management, and intensive care support. Her formative academic years laid the foundation for her later role as both a clinician and a researcher. Her education at one of Brazil’s top public universities continues to influence her practice and teaching as she now mentors medical students and residents at the same institution.

Research Focus

Dr. Silva’s current research is centered on the development and clinical validation of a low-cost, 3D-printed videolaryngoscope (VLG3DUFF) designed to improve access to safe intubation techniques in settings with limited resources. Her work addresses a critical gap in the availability of high-cost airway management devices in developing countries. By combining medical insight with engineering principles, she aims to create durable, efficient, and accessible alternatives to traditional videolaryngoscopes. This research also includes simulation-based testing and clinical comparisons, highlighting safety, usability, and performance during rapid sequence induction.

Experience

Throughout her career, Dr. Silva has held multiple roles within the medical and academic community, most notably as Head of the Medical Care Division at Antonio Pedro University Hospital. She has extensive experience in anesthesia for complex surgical procedures and has been involved in postgraduate education and research development for many years. Her leadership during the COVID-19 pandemic was marked by innovation, as she initiated technology-driven solutions to improve clinical response. She is also an active participant in academic congresses and has contributed significantly to curriculum development in anesthesiology at the Faculty of Medicine, Federal Fluminense University.

Research Timeline

Dr. Silva began her most notable research work in mid-2020, at the height of the COVID-19 pandemic, when she led a multidisciplinary team to develop a 3D-printed videolaryngoscope in response to the shortage of airway management devices. The project spanned five months (June–November 2020), focusing on design, prototyping, and simulation testing. In 2021, she coordinated a follow-up clinical study from April to November, comparing the VLG3DUFF device to the standard Macintosh blade in actual surgical settings. These two consecutive projects mark a key period in her research career and have resulted in peer-reviewed publications and a pending medical patent.

Awards & Honors

While no specific awards are listed in her record, Dr. Silva’s work has been recognized through national and international conference invitations and publications in high-impact journals. The innovation behind the VLG3DUFF videolaryngoscope was selected for presentation at the Brazilian Congress of Anesthesiology and the Latin American Congress of Anesthesiology in 2023 and 2024, indicating peer recognition of her project’s impact. The pending patent for her device also reflects its value as an original contribution to clinical practice. Her recognition continues to grow through interdisciplinary collaboration and advancements in affordable medical technology.

Top-Noted Publication

Dr. Silva’s most distinguished publication is titled “3D Printing of a Low-Cost Videolaryngoscope for Tracheal Intubation,” published in Scientific Reports in July 2025. This paper outlines the complete process of developing a novel airway management tool using additive manufacturing technology. The research was driven by the urgent need for affordable medical devices during the COVID-19 pandemic and showcases a successful collaboration between medical professionals and engineers. The study has garnered attention for offering a viable solution to a global healthcare challenge and has laid the groundwork for future innovations in low-cost medical equipment for emergency and surgical use.

Ximenes, T. N., Resende, M. A. C., Videira, R. L. R., Silva, A. J., Figueiredo, J. A., Gonçalves, I. T., & Resende, B. C. (2025). Alternative method for airway approach in anesthesia of a newborn with occipital encephalocele. Brazilian Journal of Case Reports, 5(1). https://doi.org/10.52600/2763-583X.bjcr.2025.5.1.bjcr22

Panagiotis Tsamos, Chemistry, Best Researcher Award

Panagiotis Tsamos: Post Doc Researcher at A.U.Th. , Faculty of Sciences, School of Chemistry, Greece

Dr. Panagiotis Tsamos is a dedicated Postdoctoral Researcher at Aristotle University of Thessaloniki (A.U.TH.), specializing in environmental chemistry with an emphasis on radiological protection and heavy metal contamination. He holds a PhD in Chemistry and has extensive experience studying radionuclide behavior and removal in aquatic environments. His research aims to develop innovative, sustainable methods to mitigate environmental pollution caused by industrial activities, contributing to public health and ecological safety.

Online Profiles

ORCID Profile

Dr. Tsamos, While he currently does not maintain a LinkedIn profile or personal website, his research and academic contributions are well-documented through his institutional affiliation with A.U.TH., Faculty of Sciences, School of Chemistry. He actively participates in international conferences and collaborations, enhancing his visibility in the environmental chemistry research community.

Education

He completed his doctoral studies at Aristotle University of Thessaloniki, graduating in July 2022 with a PhD in Chemistry. His academic training included advanced coursework and research in radiochemistry, environmental toxicology, and analytical techniques. His thesis work involved the study of uranium and toxic metal contamination in natural and industrial environments, providing a strong scientific foundation for his ongoing postdoctoral research.

Research Focus

Dr. Tsamos’s research primarily focuses on improving the removal of radionuclides and toxic metals from aqueous solutions through novel sorbent materials and chemical methods. He investigates the environmental impact of industrial pollutants, particularly from oil and coal-fired power plants, aiming to develop effective remediation technologies that reduce radiological and chemical hazards in water bodies and soil.

Experience

With over a decade of experience, Dr. Tsamos has contributed significantly to environmental monitoring and remediation research. He has authored numerous peer-reviewed articles and presented his findings at major international conferences. His collaborations span interdisciplinary teams working on environmental safety, radiological risk assessment, and sustainable pollution control, reflecting a comprehensive approach to addressing complex environmental challenges.

Research Timeline

Beginning his research career in 2014, Dr. Tsamos has steadily expanded his expertise from investigating radionuclide distribution in mining and power plant areas to exploring biosorption techniques and competing cation effects on radionuclide sorption. His progression culminated in a PhD focused on environmental contamination and has now transitioned into postdoctoral work aimed at advancing nuclide removal methodologies and assessing environmental risks associated with industrial pollutants.

Awards & Honors

Although specific awards are not explicitly listed, Dr. Tsamos’s participation in multiple international conferences as an invited speaker and his certification (3EHKR-Z6U8B-YW2O7-G9ITM) demonstrate professional recognition and credibility in his field. His work continues to be cited in environmental science literature, indicating respect and acknowledgement from the academic community.

Top-Noted Publication

Among his most influential works is the 2025 article “The Impact of Crude Oil Facilities on the Accumulation of Heavy Metals and Radionuclides in a Coastal Environment,” published in Water Air Soil Pollution. This study provided critical insights into how industrial operations affect local ecosystems and offered data-driven recommendations for pollution mitigation and environmental monitoring programs, highlighting Panagiotis’s expertise in applied environmental radiochemistry.

  • Noli, F., Papalanis, E., Tsamos, P., Kapnisti, M. (2021). The effect of humic acid and competing cations Na⁺ and Ca²⁺ on the sorption of uranium and europium onto bentonite from Kimolos Island (Greece). Journal of Radioanalytical and Nuclear Chemistry. DOI: 10.1007/s10967-021-07722-y.
    This study investigates the complex interactions affecting radionuclide sorption in bentonite, highlighting environmental factors that influence contaminant mobility in natural clays.

  • Noli, F., Tsamos, P. (2018). Seasonal variations of natural radionuclides, minor and trace elements in lake sediments and water in a lignite mining area of North-Western Greece. Environmental Science and Pollution Research. DOI: 10.1007/s11356-017-9801-z.
    An in-depth analysis of seasonal changes in radionuclide and trace element levels, contributing valuable data on environmental impact related to mining activities.

  • Noli, F., Tsamos, P., Stoulos, S. (2017). Spatial and seasonal variation of radionuclides in soils and waters near a coal-fired power plant of Northern Greece: environmental dose assessment. Journal of Radioanalytical and Nuclear Chemistry. DOI: 10.1007/s10967-016-5082-0.
    This paper provides a comprehensive dose assessment based on radionuclide distribution, offering insights into environmental safety around coal power plants.

  • Noli, F., Tsamos, P. (2016). Concentration of heavy metals and trace elements in soils, waters and vegetables and assessment of health risk in the vicinity of a lignite-fired power plant. Science of the Total Environment. DOI: 10.1016/j.scitotenv.2016.04.098.
    This research evaluates contamination levels and potential health risks from industrial emissions, supporting efforts to manage and mitigate environmental hazards.

Arulpandian P, Engineering, Best Researcher Award

Dr. Arulpandian P: Assistant Professor at Sri Shakthi Institute of Engineering and Technology, India

Dr. P. Arul Pandian is an accomplished academic researcher and mechanical engineer with a Ph.D. in Mechanical Engineering, specializing in metallurgy, composite materials, and product design development. He brings extensive experience in material innovation, rapid prototyping, reverse engineering, and mechanical testing. His expertise spans aluminum metal matrix composites, polymer-derived ceramics, and sustainable energy harvesting technologies. He has successfully transitioned numerous concepts from research to patent-protected functional products, contributing significantly to government-funded projects in India.

Online Profiles

ORCID Profile

Dr. Arulpandian maintains a professional presence on LinkedIn, where he shares insights about his latest research, collaborations, and academic initiatives. His profile highlights a comprehensive overview of his research projects, patents, publications, and professional achievements. This platform serves as a hub for connecting with fellow researchers, industry experts, and potential collaborators worldwide.
LinkedIn Profile

Education

Dr. Arulpandian completed his doctoral studies at PSG College of Technology, Coimbatore, earning a Ph.D. in Mechanical Engineering with a strong emphasis on advanced materials and manufacturing processes. Prior to this, he obtained a Master of Engineering degree in Engineering Design from K.S. Rangasamy College of Technology, which equipped him with in-depth knowledge of design principles and simulation tools. His foundational undergraduate education was completed at the Institute of Road and Transport Technology, where he graduated with a Bachelor of Engineering in Mechanical Engineering, laying the groundwork for his research career.

Research Focus

His research primarily focuses on advancing aluminum-based metal matrix composites (MMCs) reinforced with polymer-derived ceramics, aiming to enhance mechanical properties and thermal stability for industrial applications. He employs state-of-the-art characterization techniques such as SEM, EDS, and X-ray analysis to understand material behavior and failure mechanisms. Additionally, Dr. Arulpandian is dedicated to exploring sustainable and renewable energy solutions, including kinetic energy harvesting systems, and has contributed to the design of autonomous agricultural UAVs, reflecting his commitment to integrating engineering innovations with societal benefits.

Experience

Dr. Arulpandian has accrued extensive teaching and research experience in leading academic institutions. As an Assistant Professor, he has guided undergraduate and postgraduate students through industry-relevant projects, fostering practical skills alongside theoretical knowledge. During his tenure as a Project Associate on DST-funded initiatives at PSG College of Technology, he led metallurgical and product design research teams, managing project lifecycles from conception to prototype development. His earlier roles included mentoring design projects and conducting hands-on laboratory sessions, further enhancing his pedagogical expertise.

Research Timeline

Beginning as a Junior Research Fellow on a DRDO project in 2015, Dr. Arulpandian engaged deeply in experimental product design and literature analysis. He transitioned to a pivotal role as a Project Associate on multiple DST-funded projects from 2019 to 2024, leading innovations in metal matrix composite fabrication and testing. Concurrently, he balanced academic responsibilities as an Assistant Professor, culminating in a holistic career that bridges research, teaching, and product development up to mid-2025.

Awards & Honors

Throughout his career, Dr. Arulpandian has been recognized for his contributions to mechanical engineering and material science. Notably, he received the prestigious Young Scientist Award from Makkal Sinthanai Peravai in 2015, honoring his innovative work in UAV development for smart agriculture. He also secured victories in technical competitions at Karpagam Institute of Technology, reflecting his commitment to excellence and continuous learning in engineering domains.

Top-Noted Publication

One of Dr. Arulpandian’s most impactful publications is:
Pandian, A., Chelliah, N. M., Rohatgi, P. K., & Surappa, M. K. (2023). Effect of melt temperature on microstructural and strength properties of in-situ aluminum metal matrix composites containing SiCNO particles. Journal of Composite Materials, 57(9), 1571–1578. This paper investigates critical processing parameters influencing composite microstructure and performance, contributing valuable insights to the field of metal matrix composites. DOI: 10.1177/00219983231158737

  1. Effect of melt temperature on microstructural and strength properties of in-situ aluminum metal matrix composites containing SiCNO particles
    Journal of Composite Materials, 2023
    DOI: 10.1177/00219983231158737
    EID: 2-s2.0-85149395563
    ISSN: 1530-793X, 0021-9983
    Contributors: Pandian, A.; Chelliah, N.M.; Rohatgi, P.K.; Surappa, M.K.
    This paper explores the influence of melt temperature on the microstructure and mechanical strength of aluminum metal matrix composites reinforced with silicon carbonitride oxide (SiCNO) particles produced via in-situ processes. The study offers valuable insights into optimizing processing parameters to achieve improved composite properties, advancing material design for high-performance applications.

  2. Impact of age hardening on the corrosion characteristics of dissimilar aluminum alloys welded using an innovative MIG welding approach
    International Journal of Civil, Environmental and Agricultural Engineering, 2023-12-27
    DOI: 10.34256/ijceae2325
    ISSN: 2582-2721
    Contributors: Sahil Garg; Arulpandian Palanisamy
    This research investigates how age hardening treatments affect corrosion resistance in dissimilar aluminum alloys joined through a novel Metal Inert Gas (MIG) welding technique. The findings contribute to understanding welding metallurgy and corrosion protection strategies, relevant to structural and environmental engineering applications.

Safiqul Islam, Mathematics, Best Researcher Award

Doctorate Safiqul Islam: Assistant Professor at King Faisal University, Saudi Arabia

Dr. Safiqul Islam is an accomplished Indian mathematician and theoretical astrophysicist, currently serving as an Assistant Professor of Mathematics at King Faisal University, Kingdom of Saudi Arabia. With over nine years of post-Ph.D. teaching and research experience, his academic contributions span across differential equations, cosmology, astrophysics, and general relativity. He is especially known for his work on wormholes, gravastars, and exotic spacetime geometries. Dr. Islam has authored two scholarly books and over a dozen peer-reviewed journal articles published in reputed international journals such as Physical Review D, Physics Letters B, and Astrophysics and Space Science. His interdisciplinary expertise bridges mathematical modeling and theoretical physics, earning him global recognition in both academic and research communities.

Online Profiles

Google Scholar Profile

Dr. Islam is actively engaged in the global academic community through multiple professional platforms. His Google Scholar profile reflects a growing impact, with 599 citations, an h-index of 10, and an i10-index of 11, showcasing the reach and influence of his work in theoretical astrophysics and applied mathematics. He is a Fellow of the Royal Astronomical Society (UK), and an Associate Member of the Institute of Physics (UK). Additionally, he holds life memberships in the American Mathematical Society, Indian Mathematical Society, Indian Association for General Relativity and Gravitation, Calcutta Mathematical Society, and the Astronomical Society of India, among others. These affiliations affirm his commitment to scientific collaboration and continued research dissemination across disciplines and borders.

Education

Dr. Islam holds a Ph.D. in Mathematics from Jadavpur University, Kolkata (2014), where he focused on “Some Theoretical Features of Wormholes and Gravastars.” He further advanced his academic career with a three-year postdoctoral research position at the prestigious Harish-Chandra Research Institute in Allahabad, where he specialized in applied mathematics, mathematical physics, and theoretical astrophysics. Prior to this, he completed his Master of Science (M.Sc.) in Applied Mathematics from Netaji Subhas Open University, Kolkata in 2010, and earned a Bachelor of Science (B.Sc.) with honors in Mathematics from Presidency College under the University of Calcutta in 1998. His educational background laid a strong foundation for his later work in cosmology and general relativity.

Research Focus

Dr. Islam’s research is rooted in applied mathematics and its applications to theoretical physics, particularly in cosmology, astrophysics, and gravitational theory. His central research areas include wormhole solutions in higher-dimensional spacetime, gravastar models, and singularity-free compact star structures within general relativity and modified gravity theories. He actively explores the implications of non-commutative geometry, tensor analysis, and differential geometry in constructing models that provide deeper insight into the nature of the universe. His work also extends to black hole physics, the dynamics of the early universe, and (2+1)-dimensional cosmological models, all of which aim to reconcile mathematical theory with physical observations.

Experience

Dr. Islam’s professional journey includes a diverse range of academic and research roles across multiple countries. Since December 2021, he has been serving as Assistant Professor at King Faisal University in Saudi Arabia. Before this, he taught at St. Theresa International College, Thailand (2019–2021), where he contributed to international education in mathematics. From 2016 to 2019, he held a Postdoctoral Fellowship at Harish-Chandra Research Institute, India—an institution renowned for advanced research in physics and mathematics. He also served as a Visiting Fellow at RTM Nagpur University in 2017. Throughout his career, Dr. Islam has taught a wide spectrum of subjects including Linear Algebra, Differential Equations, Abstract Algebra, Probability and Statistics, Numerical Analysis, and Mathematical Modelling at both undergraduate and postgraduate levels.

Research Timeline

Dr. Islam commenced his formal research career after qualifying the Research Entrance Test (RET) at Jadavpur University in 2011. His Ph.D. research began the same year and concluded in 2014, focusing on exotic astrophysical structures. Postdoctoral research followed at Harish-Chandra Research Institute between 2016 and 2019, during which he deepened his work on general relativity and compact stars. Parallel to his research, he gained significant teaching experience across India, Thailand, and Saudi Arabia. Since 2013, he has consistently published in high-impact journals and participated in international conferences. His work has steadily evolved, incorporating modern mathematical techniques and interdisciplinary models in theoretical physics.

Awards & Honors

Dr. Islam has received several academic honors, including the Global Faculty Award 2021 by AKS Education Awards in recognition of his excellence in teaching and research. He was appointed as an International Advisory Committee Member for the 2nd International Conference on Research Frontiers in Sciences held at G.H. Raisoni College of Engineering in India. He has also been invited to numerous national and international scientific conferences and seminars. His research efforts have been supported by grants and funding worth approximately ₹4,20,000 from Harish-Chandra Research Institute and other institutions. His active roles in advisory and academic panels further affirm his leadership in the global academic community.

Recent Notable Publications

One of Dr. Islam’s most influential research papers is “Searching for Higher Dimensional Wormholes with Non-Commutative Geometry,” co-authored with Farook Rahaman, Saibal Ray, and P.K.F. Kuhfittig, and published in Physical Review D (2012). This work presents a theoretical framework for wormholes in higher-dimensional spacetime influenced by non-commutative geometry, contributing significantly to the understanding of exotic spacetime geometries in general relativity. The paper has garnered significant citations and remains a reference point for researchers working on higher-dimensional models and quantum gravity-related phenomena.

  • Cosmic Time-Dependent Traversable Wormhole Solutions
    S. Islam
    Journal of Astrophysics and Astronomy, Vol. 46 (2), Article 44, 2025.

  • Enhanced Mutation Strategy Based Differential Evolution for Global Optimization Problems
    P. Mishra, M. Ali, S. Islam
    PeerJ Computer Science, Vol. 11, e2696, 2025.

  • Wormholes and Energy Conditions in Rastall-Rainbow Gravity
    A. Banerjee, S. Islam, A. Pradhan, M. Zeyauddin
    2023.

  • Viscous Modified Ghost Scalar Field Dark Energy Models with Varying G
    R. Talole, P. Kumar, S. Islam
    Romanian Astronomical Journal, Vol. 33, pp. 81-109, 2023.

  • A Probe into a (2+1)-Dimensional Combined Cosmological Model in f(R,T) Gravity
    S. Islam, M. Aamir, I. Radinschi, D. Bandyopadhyay
    Axioms, Vol. 11, Article 605, 2022.

Statement of Strength and Eligibility for Best Researcher Award: Dr. Safiqul Islam

Dr. Safiqul Islam is a distinguished mathematician and theoretical astrophysicist with over nine years of impactful research and academic experience in applied mathematics, cosmology, and general relativity. Currently an Assistant Professor at King Faisal University, he has made significant contributions to the understanding of exotic spacetime geometries, including wormholes and gravastars, through innovative theoretical frameworks.

His scholarly excellence is demonstrated by a robust publication record, including two authored books and over a dozen high-impact peer-reviewed articles in prestigious journals such as Physical Review D and Physics Letters B. With an h-index of 10 and nearly 600 citations, Dr. Islam’s work commands global recognition and influence in interdisciplinary fields bridging mathematics and theoretical physics.

Dr. Islam’s expertise in advanced mathematical modeling and theoretical astrophysics is complemented by his active involvement in international academic communities, reflected in his fellowship with the Royal Astronomical Society and memberships in leading scientific societies worldwide. His leadership roles in international conferences and advisory committees further attest to his stature as a leading researcher.

His consistent research productivity, innovative approach to complex problems in cosmology and gravitation, and dedication to advancing knowledge make him eminently deserving of the Best Researcher Award. Dr. Islam’s work not only pushes the boundaries of fundamental science but also inspires cross-disciplinary collaboration and future breakthroughs in understanding the universe.