Theodoros Karakasidis | Materials Science | Best Academic Researcher Award

Published on by Popular Scientist

Prof. Theodoros Karakasidis | Materials Science | Best Academic Researcher Award

Professor at University of Thessaly, Greece

Prof. Theodoros Karakasidis is a Professor of Applied Physics at the Department of Physics, University of Thessaly, Lamia, Greece. He serves as the Director of the Condensed Matter Physics Laboratory and the Graduate Program in “Applied Physics”. He holds a BSc in Physics from Aristotle University of Thessaloniki (1989), an MSc and PhD in Physics from University Pierre et Marie Curie (Paris 6), and a Master’s in Education from the Hellenic Open University.

Profile:

🎓 Education:

  • BSc in Physics, Aristotle University of Thessaloniki 🇬🇷 (1989, GPA 9.51/10)

  • MSc & PhD in Physics, University Pierre et Marie Curie – Paris VI 🇫🇷

  • Master’s in Education, Hellenic Open University (2009)

🧪 Research Interests:

  • Computational Materials Science & Nanotechnology 🧬

  • Machine Learning & Complex Systems 🔁

  • Physics Education & ICT in Teaching 🎓

  • Nonlinear Dynamics & Time Series Analysis ⏳

🎓 Academic Roles:

  • Professor of Applied Physics, Univ. of Thessaly

  • Director, Condensed Matter Physics Lab 🔬

  • Director, MSc Program “Applied Physics” 📘

  • Chairman, Dept. of Physics (2022–present)

  • Past Deputy Chair, Dept. of Civil Engineering

📚 Teaching & Supervision:

  • 25+ years teaching undergraduate & graduate courses

  • Supervisor of 20+ MSc, 8+ PhD, and 2 postdoctoral researchers

  • Courses include Electromagnetism, Condensed Matter Physics, and Computational Science

🔬 Projects & Research Leadership:

  • Principal Investigator in national and EU-funded projects (EUROFUSION, HFRI, Horizon)

  • Key focus: digital materials design, particle-based modeling, smart water purification, and magnetic nanofluidics

🌐 International Collaborations:

  • Collaborations with Strathclyde (UK), NTNU (Norway), Nazarbayev University (Kazakhstan), ICAMS (Germany)

  • Erasmus+, COST Actions, Marie Curie Evaluator

📖 Editorial & Peer Review:

  • Reviewer for top journals: Phys. Rev. E, Scientific Reports, Nanotechnology, MRS Comm.

  • Guest Editor: Desalination and Water Treatment, Computational Materials Science, Environmental Processes

🧾 Distinctions:

  • Top-cited and featured articles in journals like Journal of Theoretical Biology

  • Best Paper & Young Researcher Award at ICDDNBEA 2021 🏆

  • Popular science book author: “Roulis the Science Cat” 🐱📘

💻 Technical Expertise:

  • Expert in FORTRAN, C, Python, Parallel Computing (MPI), MATLAB

  • Skilled in academic platforms (Blackboard, Moodle, E-Class)

📣 Memberships & Outreach:

  • Member of APS, EPS, MRS, IEEE, American Nano Society

  • Promoter of science in schools and public outreach events 🎤

  • Organized student teams for science competitions (e.g., FameLab)

Citation Metrics (Google Scholar):

  • Total Citations: 3,498

  • Citations since 2020: 1,707

  • h-index: 33

  • h-index since 2020: 22

  • i10-index: 76

  • i10-index since 2020: 48

Publication Top Notes:

  1. Use of fuzzy clustering technique and matrices to classify amino acids and its impact to Chou’s pseudo amino acid composition
    D.N. Georgiou, T.E. Karakasidis, J.J. Nieto, A. Torres
    Journal of Theoretical Biology, 257(1), 17–26 (2009). [Cited by: 229]

  2. Transport properties of liquid argon in krypton nanochannels: anisotropy and non-homogeneity introduced by the solid walls
    F. Sofos, T. Karakasidis, A. Liakopoulos
    International Journal of Heat and Mass Transfer, 52(3–4), 735–743 (2009). [Cited by: 157]

  3. Artificial intelligence in physical sciences: Symbolic regression trends and perspectives
    D. Angelis, F. Sofos, T.E. Karakasidis
    Archives of Computational Methods in Engineering, 30(6), 3845–3865 (2023). [Cited by: 156]

  4. Multiscale modeling in nanomaterials science
    T.E. Karakasidis, C.A. Charitidis
    Materials Science and Engineering: C, 27(5–8), 1082–1089 (2007). [Cited by: 138]

  5. Effects of wall roughness on flow in nanochannels
    F.D. Sofos, T.E. Karakasidis, A. Liakopoulos
    Physical Review E, 79(2), 026305 (2009). [Cited by: 127]

  6. Heavy Metal Adsorption Using Magnetic Nanoparticles for Water Purification: A Critical Review
    C. Liosis, A. Papadopoulou, E. Karvelas, T.E. Karakasidis, I.E. Sarris
    Materials, 14(24), 7500 (2021). [Cited by: 99]

  7. The application of complex network time series analysis in turbulent heated jets
    A.K. Charakopoulos, T.E. Karakasidis, P.N. Papanicolaou, A. Liakopoulos
    Chaos: An Interdisciplinary Journal of Nonlinear Science, 24(2), 024408 (2014). [Cited by: 99]

  8. Surface wettability effects on flow in rough wall nanochannels
    F. Sofos, T.E. Karakasidis, A. Liakopoulos
    Microfluidics and Nanofluidics, 12, 25–31 (2012). [Cited by: 78]

  9. Effect of wall roughness on shear viscosity and diffusion in nanochannels
    F. Sofos, T.E. Karakasidis, A. Liakopoulos
    International Journal of Heat and Mass Transfer, 53(19–20), 3839–3846 (2010). [Cited by: 78]

  10. Grain-boundary diffusion of cation vacancies in nickel oxide: a molecular-dynamics study
    T. Karakasidis, M. Meyer
    Physical Review B, 55(20), 13853 (1997). [Cited by: 75]

  11. A comment on a rigid-ion potential for UO₂
    T. Karakasidis, P.J.D. Lindan
    Journal of Physics: Condensed Matter, 6(15), 2965 (1994). [Cited by: 68]

  12. On the magnetic aggregation of Fe₃O₄ nanoparticles
    E.G. Karvelas, N.K. Lampropoulos, L.T. Benos, T. Karakasidis, I.E. Sarris
    Computer Methods and Programs in Biomedicine, 198, 105778 (2021). [Cited by: 65]

  13. Friction factor in nanochannel flows
    A. Liakopoulos, F. Sofos, T.E. Karakasidis
    Microfluidics and Nanofluidics, 20, 1–7 (2016). [Cited by: 64]

  14. A short survey on genetic sequences, Chou’s pseudo amino acid composition and its combination with fuzzy set theory
    D.N. Georgiou, T.E. Karakasidis, A.C. Megaritis
    The Open Bioinformatics Journal, 7(1) (2013). [Cited by: 62]

  15. Unified description of size effects of transport properties of liquids flowing in nanochannels
    A.E. Giannakopoulos, F. Sofos, T.E. Karakasidis, A. Liakopoulos
    International Journal of Heat and Mass Transfer (2012). [Cited by: 60]

  16. Non-equilibrium molecular dynamics investigation of parameters affecting planar nanochannel flows
    F. Sofos, T.E. Karakasidis, A. Liakopoulos
    Journal of Contemporary Engineering Science, 2, 283–298 (2009). [Cited by: 59]

  17. Micromixing efficiency of particles in heavy metal removal processes under various inlet conditions
    E. Karvelas, C. Liosis, L. Benos, T. Karakasidis, I. Sarris
    Water, 11(6), 1135 (2019). [Cited by: 55]

  18. Current trends in fluid research in the era of artificial intelligence: A review
    F. Sofos, C. Stavrogiannis, K.K. Exarchou-Kouveli, D. Akabua, G. Charilas, …
    Fluids, 7(3), 116 (2022). [Cited by: 51]

  19. Dissipative particle dynamics investigation of parameters affecting planar nanochannel flows
    D. Kasiteropoulou, T.E. Karakasidis, A. Liakopoulos
    Materials Science and Engineering: B, 176(19), 1574–1579 (2011). [Cited by: 50]

  20. On perturbations of the Mandelbrot map
    J. Argyris, I. Andreadis, T.E. Karakasidis
    Chaos, Solitons & Fractals, 11(7), 1131–1136 (2000). [Cited by: 50]

 

Claudio Pérez | Aerobiologia | Best Researcher Award

Published on by Popular Scientist

Dr. Claudio Pérez | Aerobiologia | Best Researcher Award

Departamento de Ciencias de la Atmósfera y los Océanos Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires,  Argentina

Claudio Fabián Pérez is an Argentine biologist and atmospheric scientist specializing in aerobiology, palynology, and micrometeorology. He currently serves as an Independent Researcher at CONICET and as Jefe de Trabajos Prácticos at the Department of Atmospheric and Ocean Sciences, Faculty of Exact and Natural Sciences, University of Buenos Aires (UBA), where he has been teaching since 2005. His research focuses on airborne pollen transport, CO₂ and water fluxes, and the environmental impacts of bioaerosols. He has led and participated in several national R&D projects, including studies on Yungas forest pollen emissions and atmospheric gluten particles. Pérez has mentored students and researchers in atmospheric sciences and contributes to developing early-warning systems for airborne biological particles with potential health and ecological impacts.

Profile:

🎓 Academic & Research Career:

Dr. Claudio Fabián Pérez is a professor at the University of Buenos Aires (UBA), Faculty of Exact and Natural Sciences, Department of Atmospheric and Ocean Sciences. Since 2005, he has specialized in aerobiology, palynology, and atmospheric transport of biological particles.

🔬 Research Expertise:

  • 🌿 Aerobiology & Pollen Transport

  • 🍃 Palynology & Fungal Spores

  • 🌍 Environmental Monitoring & CO₂ Flux

  • 🌾 Agrometeorology

  • 🧪 Atmospheric Contamination Detection

His research bridges biology and atmospheric sciences, focusing on how pollen and spores travel through the air and their impact on ecosystems, health, and climate models.

🏢 Institutional Roles:

  • Independent Researcher at CONICET (2021–present)

  • Former Adjunct Researcher at CONICET (2010–2021)

  • Head of Practical Works at UBA (since 2016)

🧑‍🏫 Mentorship & Training:

He has directed student theses and mentored research fellows in atmospheric and environmental sciences, contributing significantly to human resource development in science and technology.

🌱 Key Projects:

  1. Yungas Forest Propagule Study (2023–2024)
    Focus: Emission & atmospheric transport of biological particles from native forests.
    Lead Institution: Universidad Nacional de Jujuy.

  2. Detection of Gluten Particles in Air (2020–2022)
    Focus: Airborne gluten monitoring for celiac disease risk near flour mills.
    Field: Environmental contamination & public health.

Citation Metrics Summary:

  • Total Citations: 377

  • Citing Documents: 299

  • Total Publications (Documents): 29

  • h-index: 14

Publication Top Notes:

Kuljeet Singh | AI in Healthcare | Young Researcher Award

Published on by Popular Scientist

Mr. Kuljeet Singh | AI in Healthcare | Young Researcher Award

Assistant Professor at Christ University, Delhi NCR, India

Dr. Kuljeet Singh (Ph.D. Scholar, M.Tech., MCA) is an academician and researcher in the field of Computer Science, currently serving as an Assistant Professor at the Department of Computer Science, CHRIST (Deemed to be University), Delhi-NCR. He is also pursuing his Ph.D. at the Central University of Jammu, focusing on advanced areas in Computer Science and IT. With a strong academic foundation including an MCA from the University of Jammu and an M.Tech. (CSE) from IIT Patna (in progress), Dr. Singh has qualified multiple prestigious exams such as UGC NET (five times) and HP-SET.

Profile:

🎓 Academic Background:

  • Ph.D. (Pursuing) – Central University of Jammu (2022–Present)

  • M.Tech in CSE (Pursuing) – IIT Patna (2025–Present)

  • MCA – University of Jammu | 7.70 CGPA

  • B.Sc. – University of Jammu | 61.39%

  • DCA – Shruti Institute of IT & Management, J&K | 87.5%

✅ Exams Qualified:

  • UGC-NET – Dec 2020, June 2021, June 2020, Dec 2019, June 2019

  • HP SET – Nov 2019

🧑‍🏫 Professional Experience:

  • Assistant Professor – CHRIST University, Delhi-NCR (2024–Present)

  • Doctoral Research Scholar – CU Jammu (2022–Present)

  • Lecturer & HoD (CS & IT) – University of Jammu, Kishtwar Campus (2019–2022)

🏆 Academic Highlights:

  • Certified in Research Ethics & Plagiarism (SWAYAM IGNOU, 86%)

  • Completed NPTEL course on Python for Data Science

  • Attended over 35+ FDPs, Webinars & Workshops on AI, Machine Learning, Blockchain, IoT, Cybersecurity, and Data Science

🌐 Notable Engagements:

  • FDPs on AI, Big Data Tools, ICT Tools, and Deep Learning

  • Workshops on Medical Image Analysis, Computational Intelligence, Entrepreneurial Mindset, and Blockchain Technology

  • Active participant in national-level quizzes, webinars, and skill development programs

🧠 Core Areas of Expertise:

  • Machine Learning

  • Cybersecurity & Blockchain

  • IoT & AI Applications

  • Data Science & Programming (Java, Python)

🏅 Vision Statement:

To contribute meaningfully to academia and industry through teaching, cutting-edge research, and community-focused learning initiatives.

📊 Citation Metrics:

  • Total Citations: 717

  • Citations Since 2020: 710

  • h-index: 11

  • i10-index: 11

Publication Top Notes:

  • Time Series Forecasting of COVID-19 using Deep Learning Models: India-USA Comparative Case Study
    Chaos, Solitons & Fractals (2020) – Cited by 327

  • Deep-LSTM Ensemble Framework to Forecast COVID-19: An Insight to the Global Pandemic
    International Journal of Information Technology (2021) – Cited by 81

  • CheXImageNet: A Novel Architecture for Accurate Classification of COVID-19 with Chest X-ray Digital Images Using Deep CNNs
    Health and Technology (2022) – Cited by 51

  • Implementation of Exponential Smoothing for Forecasting Time Series Data
    International Journal of Scientific Research in Computer Science (2019) – Cited by 43

  • The Complexities of Migraine: A Debate Among Migraine Researchers – A Review
    Clinical Neurology and Neurosurgery (2022) – Cited by 40

  • Black Fungus Immunosuppressive Epidemic with COVID-19 Associated Mucormycosis: A Clinical and Diagnostic Perspective from India
    Immunogenetics (2021) – Cited by 34

  • Meta-Health: Meta-Learning as a Next Generation of Deep Learning in Healthcare for Rare Disorders
    Archives of Computational Methods in Engineering (2023) – Cited by 29

  • LiteCovidNet: A Lightweight Deep Neural Network for COVID-19 Detection Using X-ray Images
    International Journal of Imaging Systems and Technology (2022) – Cited by 28

  • CoBiD-Net: A Tailored Deep Learning Ensemble for COVID-19 Time Series Forecasting
    Spatial Information Research (2022) – Cited by 25

  • GBoost: A Novel Grading-AdaBoost Ensemble for Erythemato-Squamous Disease Identification
    International Journal of Information Technology (2021) – Cited by 18

  • A Nested Stacking Ensemble for Predicting Districts with High and Low Maternal Mortality Ratio (MMR) in India
    International Journal of Information Technology (2021) – Cited by 16

  • A Comprehensive Investigation of eNOS Gene Polymorphisms and Risk of Neurological Disorders
    Journal of Molecular Neuroscience (2023) – Cited by 6

  • Classification of Maternal Healthcare Data Using Naive Bayes
    International Journal of Computer Sciences and Engineering (2019) – Cited by 5

  • BC-Net: Early Diagnostics of Breast Cancer Using Nested Ensemble Machine Learning
    Automatic Control and Computer Sciences (2023) – Cited by 3

  • Hybrid CNN-LSTM with Feature Selection and SMOTE for Network Attack Detection
    International Journal of Sensor Networks (2023) – Cited by 3

  • IRAM-NET: Meta-Learning Network for Rare de Novo Glioblastoma Diagnosis
    Neural Computing and Applications (2024) – Cited by 2

  • Convolutional Bi-Directional LSTM Model for Forecasting COVID-19 in Algeria
    Computational Intelligence in Healthcare Applications (2022) – Cited by 2

  • Designing Contactless Automated Systems Using IoT, Sensors, and AI to Mitigate COVID-19
    Internet of Things (2022) – Cited by 2

  • Meta-Learning-Based Framework for Diagnosing Rare Disorders: A Survey
    AIP Conference Proceedings (2024) – Cited by 1

  • En-Fuzzy-ClaF: A Stacked Fuzzy Classification Framework for COVID-19 Diagnosis
    Society 5.0 and the Future of Emerging Computational Technologies (2022) – Cited by 1

 

Michael Crawford | Neuroscience | Lifetime Achievement Award

Published on by Popular Scientist

Prof. Michael Crawford | Neuroscience | Lifetime Achievement Award

Nutrition and Neurodevelopment at Chelsea and Westminster Hospital: Imperial College Medical Library, United Kingdom

Professor Michael A. Crawford is a globally recognized pioneer in the field of nutritional neuroscience and lipid metabolism. He earned his BSc in Chemistry from the University of Edinburgh (1952) and his PhD in Chemical Pathology from the University of London (1960). He has held prominent academic and leadership roles across institutions including Imperial College London, the Queen Elizabeth Hospital for Children, and London Metropolitan University.

Profile:

📚 Education & Credentials:

  • BSc in Chemistry – University of Edinburgh (1952)

  • PhD in Chemical Pathology – University of London, Hammersmith (1960)

  • Fellowships: Royal Society of Chemistry, Royal Society of Biology, Royal College of Pathologists

🏥 Current Role:

  • Visiting Professor at the Department of Metabolism, Digestion and Reproduction, Imperial College London (2010–Present)

  • Chief Investigator of the FOSS Trial (ISRCTN 24068733) on maternal nutrition and neurodevelopment

🧪 Research Impact:

A pioneer in brain nutrition, Dr. Crawford discovered the essential role of DHA (docosahexaenoic acid) in brain development and mental health. His research predicted the rise in mental disorders due to poor maternal nutrition—now validated by increasing global concern.

🌍 Global Influence & Collaborations:

Dr. Crawford has contributed to WHO/FAO expert consultations, worked with governments (UK, Oman, Japan), and advised major health organizations and food companies on lipid nutrition and brain health.

📜 Key Positions Held:

  • Director, Institute of Brain Chemistry and Human Nutrition (1989–2010)

  • Head, Biochemistry & Nutrition, Nuffield Institute (1965–1989)

  • Lecturer, Makerere University Medical School, Uganda (1960–1965)

  • Visiting & Special Professor in the UK and internationally

🎖️ Awards & Honors:

  • Chevreul Medal (2015) 🇫🇷

  • Brain of the Year (2013) 🧠

  • Order of the Rising Sun, Japan 🇯🇵

  • Alexander Leaf Lifetime Achievement Award, ISSFAL (2016)

  • Hall of Fame, Royal Society of Medicine (2010)

✈️ Military & Personal:

  • Served in the Royal Air Force and Royal Canadian Air Force (1952–56)

  • Passionate about music (piano), beekeeping, scuba diving, and flying

  • Married to Sheilagh Inglis (deceased); father of 6 children including 2 adopted

📊 Citation Metrics:

  • Total Citations: 10,425

  • Citing Documents: 7,433

  • Published Works: 328

  • h-index: 55

Publication Top Notes:

  1. Docosahexaenoic Acid Explains the Unexplained in Visual Transduction
    Entropy (Basel, Switzerland), 2023
    DOI: 10.3390/e25111520

  2. The Shrinking Brain (Book – Conceptualization)
    Michael A. Crawford & David Marsh, 2023

  3. Net Effects Explain the Benefits to Children From Maternal Fish Consumption Despite Methylmercury in Fish
    Neurotoxicology, 2023
    DOI: 10.1016/j.neuro.2023.10.010

  4. The Imperative of Arachidonic Acid in Early Human Development
    Progress in Lipid Research, 2023
    DOI: 10.1016/j.plipres.2023.101222

  5. A Study of Severe Malnutrition in Malawian Children Illustrates the Need for Appropriate Lipid Nutrition to Protect the Brain
    The American Journal of Clinical Nutrition, 2022
    DOI: 10.1093/ajcn/nqab425

  6. Male and Female, Prenatal Brain Development Differs in Response to the Maternal Omega-3 and -6 Nutritional Status
    Current Developments in Nutrition, 2021
    DOI: 10.1093/cdn/nzab046_031

  7. Lipids in the Origin of Intracellular Detail and Speciation in the Cambrian Epoch and the Significance of the Last Double Bond of Docosahexaenoic Acid in Cell Signaling
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2021
    DOI: 10.1016/j.plefa.2020.102230

  8. An Abundance of Seafood Consumption Studies Presents New Opportunities to Evaluate Effects on Neurocognitive Development
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2019
    DOI: 10.1016/j.plefa.2019.10.001

  9. Relationships Between Seafood Consumption During Pregnancy and Childhood and Neurocognitive Development: Two Systematic Reviews
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2019
    DOI: 10.1016/j.plefa.2019.10.002

  10. In Transition: Current Health Challenges and Priorities in Sudan
    BMJ Global Health, 2019
    DOI: 10.1136/bmjgh-2019-001723

  11. Randomized Controlled Trial of Brain Specific Fatty Acid Supplementation in Pregnant Women Increases Brain Volumes on MRI Scans of Their Newborn Infants
    Prostaglandins, Leukotrienes and Essential Fatty Acids, 2018
    DOI: 10.1016/j.plefa.2018.09.001

 

Ningbo Bai | Geophysics | Best Researcher Award

Published on by Popular Scientist

Dr. Ningbo Bai | Geophysics | Best Researcher Award

Lecturer at Henan Polytechnic University, China

Dr. Ningbo Bai is a Lecturer at Henan Polytechnic University, China. He earned his Ph.D. in Geophysics from the China University of Geosciences (Wuhan) in 2023. His research focuses on three-dimensional electromagnetic forward modeling, inversion imaging, and deep geothermal exploration. Dr. Bai has authored over 10 SCI-indexed journal articles and led multiple research projects in geophysical inversion techniques. His innovative methods have been applied successfully in geothermal regions such as the Dabie Mountains. He maintains active collaborations with several Chinese universities and has one patent under process, contributing significantly to applied geophysical research.

Profile:

🎓 Academic Background:

Ph.D. in Geophysics (2023) – China University of Geosciences (Wuhan)

🧪 Research Focus:

  • 3D Electromagnetic Forward Modeling

  • Inversion Imaging Techniques

  • Joint Inversion Methods

  • Deep Geothermal Exploration

📈 Research Achievements:

  • 11 SCI-indexed journal publications

  • 5 completed/ongoing research projects

  • Citation Index: 54

  • 1 patent (published/under process)

  • 2 industry consultancy projects

🤝 Collaborations:

Actively collaborates with leading Chinese institutions including:

  • China University of Geosciences (Wuhan)

  • China University of Petroleum (East China)

  • Changjiang University

  • National research institutes

🔍 Research Contributions:

Dr. Bai has developed advanced algorithms for forward and inverse geophysical modeling, significantly improving subsurface structure interpretation. His innovations have been effectively applied in geothermal studies, especially in the Dabie Mountains, aiding in identifying thermal genesis models.

🚀 Professional Highlights:

  • Early-career researcher with a growing impact

  • Focused on applied, real-world geoscientific challenges

  • Emerging expert in electromagnetic simulation in geophysics

Publication Top Notes:

  • 3D Inversion Algorithm of Magnetotelluric Data Based on the Solution Space Dimensionality Reduction Technique
    GEOPHYSICS, 2025-05-01
    DOI: 10.1190/geo2024-0252.1

  • Deep Temperature-Field Prediction Utilizing the Temperature–Pressure-Coupled Resistivity Model: A Case Study in the Xiong’an New Area, China
    IEEE Transactions on Geoscience and Remote Sensing, 2024
    DOI: 10.1109/TGRS.2023.3343718

  • Gauss–Newton With Preconditioned Conjugate Gradient Magnetotelluric Inversion for 3-D Axial Anisotropic Conductivities
    IEEE Transactions on Geoscience and Remote Sensing, 2024
    DOI: 10.1109/TGRS.2024.3367378

  • Efficient Solution Scheme for Large-Scale Anisotropic Forward Modeling of 3-D Magnetotelluric Data
    IEEE Transactions on Geoscience and Remote Sensing, 2023
    DOI: 10.1109/TGRS.2023.3252638

  • Fast 3D Simulation of Magnetotelluric Data in Anisotropic Media Using a Rational Krylov Method
    GEOPHYSICS, 2023-11-01
    DOI: 10.1190/geo2022-0533.1

 

Rahima Begum | Microbiology | Best Researcher Award

Published on by Popular Scientist

Assist. Prof. Dr. Rahima Begum | Microbiology |  Best Researcher Award

Assistant Professor at Gono Bishwabidyalay, Bangladesh

Dr. Rahima Begum is a dedicated microbiologist and lecturer at Gono Bishwabidyalay University, Dhaka, specializing in Cellular and Molecular Biology, Microbiology, and Immunology. She earned her Ph.D. in Medical Science from Yonsei University, South Korea, focusing on oxidative stress and molecular hydrogen effects in macrophages. Dr. Begum has a strong background in molecular biology techniques, microbiological assays, and animal experimentation. She has contributed extensively to research with multiple publications in high-impact journals, covering topics such as oxidative stress, microbiome, infectious diseases, and therapeutic approaches for viral variants. She has presented internationally and received several awards for her research excellence, including Best Poster Awards at global symposiums. Dr. Begum is committed to advancing scientific knowledge and fostering innovative research in health sciences.

Profile:

🎓 Education:

  • Ph.D. in Medical Science
    Yonsei University, South Korea (2016-2019)
    Thesis: Molecular hydrogen’s protective role against oxidative stress via Nrf2 activation and MAPK inhibition.

  • M.S. in Microbiology
    Gono Bishwabidyalay (University), Bangladesh (2009-2011)

  • B.Sc. in Microbiology
    Gono Bishwabidyalay (University), Bangladesh (2004-2008)

💼 Professional Experience:

  • Lecturer (2022–Present)
    Gono Bishwabidyalay, Dept. of Microbiology

  • Microbiologist (2014-2016)
    Akij Food & Beverage Ltd., Dhaka

  • Presenter at KOICA Global Health Program, Yonsei University, Korea (2019)

🧪 Research & Skills:

Expertise in molecular biology techniques like PCR, Western Blot, ELISA, cell culture, and bioinformatics analysis. Experienced in microbiology lab techniques, animal models, and statistical software (GraphPad Prism).

📚 Selected Publications:

  • Wound Healing Advances (2025)

  • Global HIV Epidemiology in Dialysis Patients (2025)

  • Melatonin as Therapy for SARS-CoV-2 Variants (2022)

  • Multiple high-impact papers on oxidative stress, microbiology, and immunology.

🏆 Awards & Honors:

  • Best Poster Award, Bio International Symposium, Gangwon (2019)

  • Best Poster Award, International Toxicogenomics Conference (2018)

  • Excellence Award, 6th International Student Presentation Competition, South Korea (2016)

🌐 Conferences & Workshops:

Active participant in international symposia on hydrogen therapy, toxicogenomics, digital healthcare, and bioinformatics, reflecting a commitment to cutting-edge science and global collaboration.

🤝 Personal Qualities:

Determined, teachable, highly adaptable, and passionate about research and education, always eager to contribute to scientific knowledge and mentor the next generation of scientists.

📊 Citation Metrics:

  • Total Citations: 221 (Since 2020: 194)

  • h-index: 8 (Since 2020: 6)

  • i10-index: 7 (Since 2020: 5)

Publication Top Notes:

  1. Antioxidant and Signal‐Modulating Effects of Brown Seaweed‐Derived Compounds against Oxidative Stress‐Associated Pathology
    R Begum, S Howlader, ANM Mamun-Or-Rashid, SM Rafiquzzaman, et al.
    Oxidative Medicine and Cellular Longevity, 2021, Article ID 9974890.

  2. Balneotherapeutic Effects of High Mineral Spring Water on Atopic Dermatitis-Like Inflammation in Hairless Mice via Immunomodulation and Redox Balance
    J Bajgai, A Fadriquela, J Ara, R Begum, MF Ahmed, CS Kim, SK Kim, et al.
    BMC Complementary and Alternative Medicine, 2017; 17:1-9.

  3. Molecular Hydrogen Protects against Oxidative Stress-Induced RAW 264.7 Macrophage Cells through Activation of Nrf2 and Inhibition of MAPK Signaling Pathway
    R Begum, CS Kim, A Fadriquela, J Bajgai, X Jing, DH Kim, SK Kim, et al.
    Molecular & Cellular Toxicology, 2020; 16:103-118.

  4. Potential Therapeutic Approach of Melatonin against Omicron and Some Other Variants of SARS-CoV-2
    R Begum, ANM Mamun-Or-Rashid, TT Lucy, MK Pramanik, BK Sil, et al.
    Molecules, 2022; 27(20):6934.

  5. Molecular Hydrogen May Enhance Production of Testosterone Hormone in Male Infertility through Hormone Signal Modulation and Redox Balance
    R Begum, J Bajgai, A Fadriquela, CS Kim, SK Kim, KJ Lee
    Medical Hypotheses, 2018; 121:6-9.

  6. Effects of Mineral Complex Material Treatment on 2,4-Dinitrochlorobenzene-Induced Atopic Dermatitis-Like Skin Lesions in Mice Model
    J Bajgai, J Xingyu, A Fadriquela, R Begum, DH Kim, CS Kim, SK Kim, et al.
    BMC Complementary Medicine and Therapies, 2021; 21:1-13.

  7. Isolation and Characterization of Lactic Acid Bacteria from Indigenous Dairy Product and Preparation of Starter Culture by Freeze-Drying
    R Begum, MAK Sarker, MA Islam, MK Alam, MK Pramanik
    Bioresearch Communications (BRC), 2017; 3(1):302-308.

  8. Study of Staphylococcus aureus from Clinical Samples in Savar, Bangladesh
    R Begum, ST Towhid, M Moniruzzaman, Z Mia, MA Islam
    Research Journal of Microbiology, 2011; 6:884-890.

  9. Potential Therapeutic and Preventive Effect of Drinking Hydrogen-Rich Water on Acute Fatigue
    MF Ahmed, J Ara
    Korean Journal of Waters, 2017; 6(1):42-49.

  10. Wound Healing in the Modern Era: Emerging Research, Biomedical Advances, and Transformative Clinical Approaches
    S Bogadi, ME Uddin, MH Rahman, VVSR Karri, R Begum, SE Udeabor
    Journal of Drug Delivery Science and Technology, 2025.

  11. Global Epidemiology of HIV among Dialysis Patients: A Systematic Review and Meta-Analysis
    SS Khandker, S Jahan, AA Khan, BF Abrittee, R Nanjiba, DZ Islam, et al.
    International Urology and Nephrology, 2025.

  12. From Gut Microbiomes to Infectious Pathogens: Neurological Disease Game Changers
    M KM, P Ghosh, K Nagappan, DS Palaniswamy, R Begum, MR Islam, et al.
    Molecular Neurobiology, 2025; 62(1):1184-1204.

  13. Antibacterial Effects of Hydrogen Water on Human Pathogenic Bacteria
    R Begum, CS Kim, A Fadriquela, J Bajgai, SK Kim, KJ Lee
    Korean Journal of Waters, 2019; 7(1):86-86.

  14. Hair Growth Promoting Effects of Mineral-Rich Spring Water in SKH-1 Hairless Mice
    R Begum, J Ara, MF Ahmed, J Bajgai, A Fadriquela, KJ Lee
    Korean Journal of Waters, 2017; 6(1).

 

Deepalakshmi P | Fluid dynamics | Best Researcher Award

Published on by Popular Scientist

Mrs. Deepalakshmi P | Fluid dynamics | Best Researcher Award

Research Scholar at SRM Institute of Science and Technology, India

Mrs. P. Deepalakshmi is a dedicated mathematician currently pursuing her Ph.D. (full-time) in Mathematics at SRM University, Chennai (2021–2025). She holds an M.Sc. and B.Sc. in Mathematics from Srimathi Indira Gandhi College of Arts & Science, Tiruchirappalli, affiliated with Bharathidasan University. Her research primarily focuses on Computational Fluid Dynamics, Bio-fluid mechanics, and Peristaltic ureteral flow.

Profile:

📚 Academic Background:

  • Ph.D. (Mathematics), SRM University, Chennai (2021–2025)

  • M.Sc. Mathematics, Srimathi Indira Gandhi College of Arts & Science (2019–2021)

  • B.Sc. Mathematics, Srimathi Indira Gandhi College of Arts & Science (2016–2019)

📝 Research & Publications:

Mrs. Deepalakshmi has authored numerous research papers in reputed international journals, focusing on mathematical modeling of fluid dynamics in biomedical applications, especially involving non-Newtonian fluids and magnetohydrodynamics.

🤝 Collaborations & Presentations:

She collaborates with distinguished professors globally, including SRM University, Salford University (UK), and King Mongkut’s University (Thailand). She has presented her work at multiple international conferences.

💻 Skills & Workshops:

  • Programming: MATLAB

  • Documentation: LaTeX, MS Office

  • Attended advanced workshops on computational fluid dynamics and numerical methods from premier institutes like IIT Bombay and IISER Thiruvananthapuram.

Publication:

Thermally driven two-phase shear thinning non-Newtonian fluid through the renal tube induced by electric double layer effects with variable wall properties
P. Deepalakshmi, G. Shankar, E.P. Siva, S. Nandi, H.S. Alotaibi
Chinese Journal of Physics, 2025

 

 

Laxmi Kant Bhardwaj | Environmental Toxicology | Best Researcher Award

Published on by Popular Scientist

Dr. Laxmi Kant Bhardwaj | Environmental Toxicology | Best Researcher Award

Senior Scientific Assistant at Amity University, India

Dr. Laxmi Kant Bhardwaj is a dedicated analytical and environmental science researcher currently affiliated with the Amity Institute of Environmental Toxicology, Safety and Management (AIETSM), Amity University, Noida, where he has served since 2015. He holds a Ph.D. in Environmental Sciences with a focus on Antarctica’s anthropogenic impact, earned from Amity University in 2020.

Profile:

🏢 Current Role:

  • Faculty Member, Amity Institute of Environmental Toxicology, Safety and Management (AIETSM), Amity University, Noida (Since 2015)

  • Section Editor, Basic Science & Mathematics, Journal of Computers Mechanical and Management, Malaysia

🔬 Research & Industry Expertise:

  • Expertise in Pharmaceutical Analysis (GC-FID, HPLC, UV, ELISA)

  • Proficient in Food & Environmental Testing (AAS, GC-MS/MS, COD/BOD, PAH, PCB)

  • Specialized in Pathological Testing (Hormone Assays, Clinical Instruments)

🎓 Academic Background:

  • 📘 Ph.D. in Environmental Sciences, Amity University, Noida (2020)

  • 🧪 M.Sc. in Biotechnology, Bundelkhand University, Jhansi (2008)

  • 🔬 B.Sc. in Life Sciences, C.C.S. University, Meerut (2006)

🏆 Awards & Recognitions:

  • 🥇 Nobel Laureate Dr. C.V. Raman Award, 2024

  • 🧑‍🏫 Teacher Award, ABASP Educator Board, 2023

  • 🌍 Young Researcher Award, Institute of Scholars (InSc), 2022

  • 💵 Stipend & Travel Grant recipient, NACRW (USA) & SERB (India), 2019

  • 🧊 Indian Scientific Expedition Member, Southern Oceans, 2017–18

✍️ Editorial & Review Roles:

  • Editor-in-Chief, SSR Journal of Artificial Intelligence

  • Associate Editor, SSR Journal of Engineering and Technology

  • Editorial Board Member, Multiple international journals

  • Peer Reviewer for over 30 top-tier journals including Scientific Reports, Environmental Pollution, One Earth, Science of the Total Environment

🌐 Global Research Impact:

Dr. Bhardwaj has contributed to applied research in environmental toxicology, waste management, vector control, and pharma testing with a focus on Antarctica’s ecological health. His work spans academia, industry, and international collaborations, driving innovation across disciplines.

🌱 Professional Memberships & Contributions:

  • Reviewer and Member of InSc, ABCD Indexing, IAO, and AEIC

  • Edited the book “Futuristic Trends in Agriculture Engineering & Food Sciences”

📌 Conclusion:

With a rich background in analytical science, multi-sector research, and editorial leadership, Dr. Laxmi Kant Bhardwaj stands out as a highly deserving candidate for the Best Researcher Award.

📊 Citation Metrics:

  • Total Citations: 482

  • Citations Since 2020: 475

  • h-index: 13

  • i10-index: 18

Publication Top Notes:

  1. Exploring the Effects of E-Waste on Soil, Water Quality and Human Health
    LK Bhardwaj, P Rath, H Jain, M Choudhury
    Discover Civil Engineering, 2(1), 1–16, 2025. 🌟Cited by: 3

  2. Electronic Wastes and Contamination of Water
    LK Bhardwaj, P Rath, M Choudhury, A Metzdorff, PK Jodder
    In: Electronic Waste: Impact on Health, Animals, and the Environment, pp. 48, 2025.

  3. Electronic Wastes and Circular Economy: A Path Towards Sustainable Management
    S Bajpai, LK Bhardwaj, P Rath, F Rahman, A Kumar, MI Abdulraheem
    In: Electronic Waste, pp. 173–180, 2025.

  4. A Comprehensive Review of Wetlands in India and Their Conservation
    LK Bhardwaj, P Rath, H Jain, M Choudhury
    In: Nature-Based Technologies for Wastewater Treatment and Bioenergy Production, pp. 43, 2025.

  5. A Concurrent Review on Plant Derived Biopesticides and Synthetic Pesticides: Their Importance in Plant Protection and Impacts on Human Health
    A Kumar, RV Ramchandar, C Dhiman, E Priyanka, MR Bharati, LK Bhardwaj, et al.
    2025.

  6. Resilience in the Digital Age: Emerging Technologies for Climate Adaptation
    LK Bhardwaj, PK Jodder, R Priya, P Rath, H Jain, S Thakur, P Yadav, et al.
    In: Sustainable Synergy: Harnessing Ecosystems for Climate Resilience, pp. 165–175, 2025. 🌟Cited by: 1

  7. Integrating Fuzzy Logic into Life Cycle Assessment for Sustainable Municipal Solid Waste Management in Metro Cities
    R Choudhary, A Kumar, S Narayan, I Mishchenko, M Choudhury, LK Bhardwaj, et al.
    Ecological Engineering & Environmental Technology, 26(7), 2025.

  8. Recent Trends of Phytoremediation for the Wastewater Treatment and Resource Recovery
    LK Bhardwaj, D Upadhyay, H Jain, P Rath, D Kumar, S Bajpai
    In: Biotechnologies for Wastewater Treatment and Resource Recovery, pp. 135–146, 2025. 🌟Cited by: 2

  9. Status of Micro/Nano-Plastic (MNP) Pollution in the Aquatic System
    LK Bhardwaj, P Rath, F Rehman, P Yadav, T Massahi, R Mittal, H Jain
    In: Societal and Environmental Ramifications of Plastic Pollution, pp. 43–62, 2025. 🌟Cited by: 3

  10. Unraveling Urban Plant Strategies for Heavy Metal Uptake and Detoxification
    U Gupta, S Shukla, LK Bhardwaj, P Rath, D Upadhyay, B Sharma, et al.
    In: Climate Change and Environmental Pollution, pp. 93, 2024. 🌟Cited by: 2

  11. A Synthesis of Biogenic Nanoparticles (NPs) for the Treatment of Wastewater and Its Application: A Review
    P Rath, LK Bhardwaj, P Yadav, A Bhardwaj
    In: Biogenic Wastes-Enabled Nanomaterial Synthesis, Vol. 1, pp. 127–148, 2024. 🌟Cited by: 2

  12. Occurrence of Microplastics (MPs) in Antarctica and Its Impact on the Health of Organisms
    LK Bhardwaj
    Maritime Technology and Research, 6(2), Article ID 265418, 2024. 🌟Cited by: 15

  13. Solid Waste Management (SWM) and Its Effect on Environment & Human Health
    P Gupta, A Sharma, LK Bhardwaj
    Futuristic Trends in Agriculture Engineering & Food Sciences, Vol. 3, pp. 7, 2024. 🌟Cited by: 16

  14. Air Pollution and Its Effect on Human Health
    LK Bhardwaj, VV Singh
    Futuristic Trends in Agriculture Engineering & Food Sciences, Vol. 3, pp. 1, 2024. 🌟Cited by: 10

  15. Significance of Enzymatic Actions in Biomass Waste Management: Challenges and Future Scope
    P Rath, LK Bhardwaj, M Chaturvedi, A Bhardwaj
    In: Valorization of Biomass Wastes for Environmental Sustainability, 2024. 🌟Cited by: 1

  16. Microplastic Contamination, an Emerging Threat to the Freshwater Environment: A Systematic Review
    LK Bhardwaj, P Rath, P Yadav, U Gupta
    Environmental Systems Research, 13(1), Article 8, 2024. 🌟Cited by: 44

  17. A Comprehensive Review on Sources, Types, Impact and Challenges of Air Pollution
    LK Bhardwaj, VV Singh, K Dwivedi, S Rai
    International Journal of Sustainability in Energy and Environment, Vol. 1, pp. 46–50, 2024. 🌟Cited by: 7

  18. The Impact of Climate-Induced Livelihood, Health, and Migration on Women and Girls: A Review
    LK Bhardwaj, P Rath, H Jain, S Purohit, P Yadav, V Singh
    In: Global Insights on Women Empowerment and Leadership, pp. 100–118, 2024. 🌟Cited by: 7

  19. E-Waste Management in Developing Countries: Current Practices, Challenges, Disposal, and Impact on Human Health and Environment
    LK Bhardwaj, P Rath, R Tokas
    In: Sustainable Solutions for E-Waste and Development, pp. 90–102, 2024. 🌟Cited by: 7

  20. Nanotechnology for Sustainable Development and Future: A Review
    R Tokas, LK Bhardwaj, N Kumar, T Jindal
    In: Green and Sustainable Approaches Using Wastes for the Production of …, 2024. 🌟Cited by: 10