Prof. Dr. binli | Neuroscience | Best Researcher Award

Prof. Dr. binli | Neuroscience | Best Researcher Award 🏆

Lecturer (University Professor) at yangzhou university,China🎓

The nominee, a PhD holder in Architecture since 2016, has demonstrated excellence in research, education, and practical applications in architecture and sustainability. His dual focus on comfort and accessibility, alongside nature-based solutions for climate resilience, addresses critical contemporary issues. His notable contributions, backed by research grants and real-world projects, underscore his commitment to advancing sustainable architecture.

 

Professional Profile 

🎓 Education

Bin Li earned his Ph.D. in Neuroscience from Nanjing Agricultural University, where his master’s thesis was recognized as an excellent thesis. His educational background laid a strong foundation for his expertise in neuroimmunology and endothelial cell research. 🎓🏆

🏢 Work Experience

As a university-appointed professor, Bin has made significant contributions to the field of Neuroscience. His work focuses on the mechanisms of mRNA methylation in endothelial cells and their role in recovery after ischemic stroke, enhancing our understanding of neurovascular repair processes. 🧠🏥

🧬 Skills

  • Bin possesses advanced research skills in molecular biology and neuroimmunology, with a strong capability in conducting complex experiments and data analysis. His ability to communicate complex scientific concepts effectively enhances his teaching and mentorship roles. 🧪📊

Awards and Honors 🏆

He has received numerous accolades, including the “Lv Yang Jin Feng” Outstanding Doctor award and recognition for an outstanding paper at the 19th National Academic Exchange Meeting on Neuropsychopharmacology in 2021. 🥇🎖️

Memberships📜 

Bin is an active member of professional organizations, including the Neuroimmunology Branch of the Jiangsu Society of Immunology and the Basic Veterinary Branch of the Jiangsu Animal Husbandry and Veterinary Association, which facilitate collaboration and knowledge exchange in his field. 🤝🌐

📚 Teaching Experience

In his role as a lecturer, Bin is dedicated to educating the next generation of scientists, fostering a stimulating learning environment, and guiding students through advanced concepts in Neuroscience and immunology. 📖👨‍🏫

🔬 Research Focus

His current research investigates glial cell-to-neuron and endothelial cell inter-communication during post-ischemic injury, aiming to uncover novel therapeutic strategies for brain recovery. With a total of 12 published papers and significant citations, his research is influential in the field. 🔍🧬

Conclusion 

In conclusion, Dr. Bin Li exemplifies the qualities of a leading researcher deserving of the Best Researcher Award. His innovative research, impressive publication record, and active engagement in the scientific community highlight his significant contributions to neuroscience. Addressing the areas for improvement could further amplify his impact, making him a valuable asset to both academia and society. Dr. Li’s commitment to advancing knowledge in neurovascular repair positions him as an outstanding candidate for this prestigious recognition.

📚 Publilcation 

  • EHR coding with hybrid attention and features propagation on disease knowledge graph
    • Year: 2024
    • Journal: Artificial Intelligence in Medicine
  • DAJLENet: A neural network based on dual attention and joint learning for explainable heart failure adverse event prediction
    • Year: 2024
    • Journal: Computers and Electrical Engineering
  • Application programming interface recommendation for smart contract using deep learning from augmented code representation
    • Year: 2024
    • Journal: Journal of Software: Evolution and Process
  • Extraction of Corn Plant Phenotypic Parameters with Keypoint Detection and Stereo Images
    • Year: 2024
    • Journal: Agronomy
  • Ponzi Scheme Detection in Smart Contract via Transaction Semantic Representation Learning
    • Year: 2024
    • Journal: IEEE Transactions on Reliability
  • Normalization of kinship relations to enrich family network analysis: case study on China biographical database
    • Year: 2024
    • Journal: Digital Scholarship in the Humanities
  • Fine-grained smart contract vulnerability detection by heterogeneous code feature learning and automated dataset construction
    • Year: 2024
    • Journal: Journal of Systems and Software
  • Neurodynamics for Equality-Constrained Time-Variant Nonlinear Optimization Using Discretization
    • Year: 2024
    • Journal: IEEE Transactions on Industrial Informatics
  • Automatic software vulnerability classification by extracting vulnerability triggers
    • Year: 2024
    • Journal: Journal of Software: Evolution and Process

 

 

Marcelo soares | Health Sciences | Excellence in Research

Prof. Dr. Marcelo soares | Health Sciences | Excellence in Research

Researcher at Osteogenesis Institute, Brazil

Dr. Marcelo Melo Soares has an extensive background in oral and maxillofacial surgery, with over 35 years of experience in clinical practice and research. He holds advanced degrees, including a PhD in Translational Surgery and a postdoctoral fellowship in Material Engineering and Nanotechnology. His research primarily focuses on bone regeneration, stem cell therapies, and nanomaterials, and he has published numerous papers in high-impact journals. Dr. Soares has made significant contributions to the field of maxillofacial surgery, particularly in the areas of distraction osteogenesis and zygomatic implants, making him a strong candidate for the Excellence in Research award.

 

Professional Profile 

🎓 Education

Dr. Marcelo Soares earned his degree in Dentistry from the Universidade Estadual de Campinas in 1986. He completed his Master’s in Oral and Maxillofacial Surgery at UNIP in 1998, and later pursued his PhD in Translational Surgery at the Universidade Federal de São Paulo (UNIFESP) in 2016. His postdoctoral research at Mackenzie Presbyterian University focused on Material Engineering and Nanotechnology, further broadening his expertise in developing innovative surgical and biomedical solutions.

 

🏢 Work Experience

Prof. Dr. Marcelo Soares has held significant academic and clinical positions throughout his career. From 1988 to 2007, he served as an Assistant Professor in the Department of Oral and Maxillofacial Surgery at the Hospital Universitário of São Paulo. Currently, he practices as a lead surgeon across several renowned hospitals in São Paulo, including Oswaldo Cruz, Santa Catarina, and Rede D’Or. In addition to his clinical work, he is actively involved in research projects focused on tissue engineering, stem cell therapies, and nanotechnology applied to oral surgery.

 

🧬 Skills

Dr. Soares is an expert in oral and maxillofacial surgery, with specialized skills in bone regeneration, zygomatic implants, orthognathic surgery, and reconstructive procedures. His cutting-edge work in nanotechnology and stem cell therapies highlights his multidisciplinary approach to improving surgical outcomes. His research and clinical work emphasize distraction osteogenesis, as well as the development of advanced biomaterials and scaffolds for tissue regeneration.

Awards and Honors 🏆

Throughout his distinguished career, Dr. Soares has received numerous awards, including recognition from the Portuguese Society of Orthodontics and the Ulises Guimarães Medal from the Brazilian Parliamentary Order. His research and clinical contributions have been widely acknowledged, and his work continues to influence both academic and clinical communities. His projects funded by CAPES and CNPq further highlight his leadership in groundbreaking research.

Membership 🤝

Dr. Soares is an active member of several professional organizations, including the Brazilian Society of Oral and Maxillofacial Surgery, the International Association of Oral and Maxillofacial Surgeons, and the Brazilian Society of Tissue Engineering and Regenerative Medicine. His memberships reflect his ongoing commitment to staying at the forefront of advancements in both surgical and biomedical fields.

Teaching Experience 📚

As an educator, Dr. Soares has been a mentor to countless students and residents, particularly during his tenure as an Assistant Professor at the Hospital Universitário of São Paulo. He has also served as a Preceptor of the Residency Program in Oral and Maxillofacial Surgery. His teaching has shaped the next generation of surgeons, particularly in the fields of complex reconstructive surgery and implantology.

🔬 Research Focus

Dr. Soares’ research is centered on bone regeneration, nanotechnology, and stem cell therapy for maxillofacial reconstruction. His work involves developing new materials and techniques, such as PLLA/GO scaffolds for bone repair and 3D-printed biocomposites, aimed at improving surgical outcomes. His research not only enhances clinical practices but also contributes to the advancement of tissue engineering and biotechnology.

Conclusion 

Dr. Marcelo Melo Soares is an excellent candidate for the Excellence in Research award, given his extensive contributions to maxillofacial surgery and innovative research in tissue engineering and nanotechnology. His commitment to advancing both clinical practice and research makes him a leader in his field. By increasing international collaborations and focusing on translating his research into clinical applications, he could further expand his impact on the global stage.

 

📚 Publication 

Angular Analysis of the Decay

Authors: R Aaij, CA Beteta, T Ackernley, B Adeva, M Adinolfi, H Afsharnia, …

Citations: 215

Year: 2021

Distraction Osteogenesis in Goldenhar Syndrome: Case Report and 8-Year Follow-Up

Authors: MDM Lima, YMFS Marques, SM Alves Júnior, KL Ortega, MM Soares, …

Citations: 39

Year: 2007

Cyclic DSS Tests for the Evaluation of Stress Densification Effects in Liquefaction Assessment

Authors: AV Da Fonseca, M Soares, AB Fourie

Citations: 38

Year: 2015

Measurement of Pseudorapidity Distributions of Charged Particles in Proton–Proton Collisions at TeV by the CMS and TOTEM Experiments

Authors: CMS and TOTEM Collaborations

Citations: 37

Year: 2014

Factors Affecting Steady State Locus in Triaxial Tests

Authors: M Soares, AV Fonseca

Citations: 32

Year: 2016

Measurement of the Shape of the Differential Decay Rate

Authors: R Aaij, C Abellán Beteta, T Ackernley, B Adeva, M Adinolfi, H Afsharnia, …

Citations: 17

Year: 2020

Coimbra Sand–Round Robin Tests to Evaluate Liquefaction Resistance

Authors: JA Santos, RC Gomes, JC Lourenço, F Marques, P Coelho, R Azeiteiro, …

Citations: 14

Year: 2012

Distração Osteogênica: Revisão de Literatura

Authors: M Nacao, GC Dominguez Rodriguez, MM Soares

Citations: 10

Year: 2002

Effect of Principal Stress Rotation on Cyclic Liquefaction

Authors: A Viana da Fonseca, M Soares

Citations: 8

Year: 2012

Dental Team Management for a Patient with Klippel–Feil Syndrome: Case Report

Authors: M De Deus Moura de Lima, KL Ortega, LCA Araújo, MM Soares, …

Citations: 8

Year: 2009

 

 

Prof. Dr. Ricardo Izurieta | epidemiology | Best Researcher Award

Prof. Dr. Ricardo Izurieta | health sciences | Best Researcher Award

Chair and Professor California State University Dominguez Hills

Mariela Vanina Pace is a dedicated researcher in the field of health sciences, with a keen focus on public health and epidemiology. 🌍 Her contributions to the scientific community are marked by her commitment to advancing knowledge and improving health outcomes.

 

Professional Profile 

🎓 Education

Mariela Vanina Pace is a dedicated researcher in the field of health sciences, with a keen focus on public health and epidemiology. 🌍 Her contributions to the scientific community are marked by her commitment to advancing knowledge and improving health outcomes.

🏢 Work Experience

With over a decade of experience, Mariela has worked as a researcher at various institutions, including the Argentine Institute of Health Research. Her roles have included project management, data analysis, and collaboration with multidisciplinary teams to implement health programs.

🧬 Skills

Mariela possesses strong analytical skills, proficiency in statistical software, and a robust understanding of public health frameworks. Her ability to communicate complex data effectively makes her a valuable asset in any research team.

Awards and Honors 🏆

Throughout her career, Mariela has received several awards, including the National Public Health Award for her outstanding research contributions. Her work has been recognized for its impact on community health initiatives.

Membership 🤝

Mariela is an active member of the Argentine Society of Public Health and the International Epidemiological Association. Her involvement in these organizations reflects her commitment to staying updated with the latest research and trends in public health.

Teaching Experience 📚

As a part-time lecturer at her alma mater, Mariela teaches courses on epidemiology and health research methods. Her passion for education inspires her students to engage in public health research.

🔬 Research Focus

Mariela’s research primarily focuses on the epidemiology of infectious diseases and their impact on vulnerable populations. She is particularly interested in studying health disparities and developing strategies to address them through evidence-based interventions.

📚 Publication 

 

 

Joanna Bartkowiak-Wieczorek | Pharmacology | Best Researcher Award

Dr. Joanna Bartkowiak-Wieczorek | Pharmacology | Best Researcher Award 🏆

Poznan University of Medical Sciences, Poland🎓

Dr.Joanna Bartkowiak-Wieczorek is an accomplished researcher and Assistant Professor at the Medical University of Karol Marcinkowski in Poznań, specializing in pharmacology and pharmacogenetics. With a strong focus on cannabinoids and their potential medical applications, particularly in oncology and personalized medicine, she has contributed significantly to understanding how genetic factors influence drug response. Joanna’s work has been recognized with the Best Researcher Award, reflecting her dedication to advancing pharmacological research and education. She is committed to bridging the gap between scientific inquiry and clinical practice, enhancing the safety and efficacy of pharmacotherapy for diverse patient populations.

 

Professional Profile 

 

🎓 Education

Joanna Bartkowiak-Wieczorek holds a Master of Science in Biological Sciences from Adam Mickiewicz University in Poznań, specializing in molecular biology. She completed her PhD at the Medical University of Poznań, focusing on epigenetic modifications in hybrids of green frogs and the polymorphism of genes associated with osteoporosis risk.

🏢 Work Experience

Since September 2018, she has served as an Assistant Professor at the Medical University of Karol Marcinkowski in Poznań, where she conducts research and teaches various programs in human physiology. Prior to this, she worked as scientific and technical staff at the Medical University of Poznań, conducting pharmacogenetic research and educational classes. She also held roles focused on quality management systems at the Institute of Natural Fibres and Medicinal Plants, contributing to the implementation of GMP and ISO standards.

 

Awards and Honors 🏆

Joanna has participated in various research projects funded by the National Science Centre, focusing on pharmacogenetics and the development of technologies for cannabinoid extraction for cancer treatment. Her contributions to scientific knowledge have been recognized through numerous publications in reputable journals, reflecting her commitment to advancing research in her field.

🔬 Research Focus

Joanna’s research primarily explores cannabinoids, their pharmacological properties, and applications in oncology and personalized medicine. She has conducted significant studies on the influence of individual genes on drug responses and has a strong background in pharmacogenetics, drug interactions, and the therapeutic potential of plant-based compounds.

Conclusion 

Joanna’s qualifications and achievements position her as a leading figure in her field, making her a suitable candidate for the Best Researcher Award. By addressing the identified areas for improvement, she could further enhance her research impact and continue to contribute to advancements in pharmacology and personalized medicine.

📚 Publilcation 

  1. Bartkowiak-Wieczorek, J., et al. (2024). Cannabis sativa L. Extract Alleviates Neuropathic Pain and Modulates CB1 and CB2 Receptor Expression in Rat. Biomolecules. DOI: 10.3390/biom14091065
  2. Bartkowiak-Wieczorek, J., et al. (2024). Methylsulfinyl Hexyl Isothiocyanate (6-MSITC) from Wasabi: A Promising Candidate for Cancer, Alzheimer’s Disease, and Obesity Treatment. Nutrients. DOI: 10.3390/nu16152509
  3. Bartkowiak-Wieczorek, J., et al. (2024). The Dual Faces of Oestrogen: The Impact of Exogenous Oestrogen on Physiological and Pathophysiological Functions of Tissues and Organs. International Journal of Molecular Sciences. DOI: 10.3390/ijms25158167
  4. Bartkowiak-Wieczorek, J., et al. (2024). Natural Products and Health. Nutrients. DOI: 10.3390/nu16030415
  5. Bartkowiak-Wieczorek, J. (2023). A Critical Look at New Possibilities of Therapeutic Use of Statins: A Summary of Current Knowledge. Farmacja Polska. DOI: 10.32383/farmpol/174070
  6. Bartkowiak-Wieczorek, J., et al. (2023). THC-Reduced Cannabis sativa L.—How Does the Solvent Determine the Bioavailability of Cannabinoids Given Orally?. Nutrients. DOI: 10.3390/nu15122646
  7. Bartkowiak-Wieczorek, J., et al. (2022). The Dark Side of Iron: The Relationship Between Iron, Inflammation, and Gut Microbiota in Diseases Associated with Iron Deficiency Anaemia. Nutrients. DOI: 10.3390/nu14173478
  8. Bartkowiak-Wieczorek, J. (2022). Polygraph Analyses: Technical and Practical Background. Journal of Medical Science. DOI: 10.20883/medical.e590
  9. Bartkowiak-Wieczorek, J., et al. (2021). High-Fat, Western-Style Diet, Systemic Inflammation, and Gut Microbiota: A Narrative Review. Cells. DOI: 10.3390/cells10113164
  10. Bartkowiak-Wieczorek, J., et al. (2020). Relationship Between Adipocytokines and Angiotensin-Converting Enzyme Gene Polymorphism in Lean Women with and without Polycystic Ovary Syndrome. Gynecological Endocrinology. DOI: 10.1080/09513590.2019.1695248
  11. Bartkowiak-Wieczorek, J., et al. (2020). Effect of Different Water Extracts from Platycodon grandiflorum on Pathogenesis of Chronic Bronchitis in Rats. Molecules. DOI: 10.3390/molecules25215020
  12. Bartkowiak-Wieczorek, J., et al. (2020). Effect of Genetic Variations for Interleukin-10 on Efficacy of Immunosuppressive Therapy in Kidney Transplant Patients. International Immunopharmacology. DOI: 10.1016/j.intimp.2020.107059
  13. Bartkowiak-Wieczorek, J. (2020). The MDR1/ABCB1 Gene Polymorphism in Colorectal Cancer. Archives of Medical Science. DOI: 10.5114/aoms.2017.70329
  14. Bartkowiak-Wieczorek, J., et al. (2019). Effect of MDR1 and CYP3A41B Polymorphisms on Cyclosporine-Based Immunosuppressive Therapy in Renal Transplant Patients*. Annals of Transplantation. DOI: 10.12659/AOT.914683
  15. Bartkowiak-Wieczorek, J. (2018). Demographic Factors Determining Folic Acid Supplementation in Pregnant and Childbearing-Age Women. Ginekologia Polska. DOI: 10.5603/GP.a2018.0036
  16. Bartkowiak-Wieczorek, J. (2018). Effect of Interleukin-6 Polymorphism on Renal Allograft Function and Immunosuppressive Therapy Efficacy. Farmacia. DOI: 10.31925/farmacia.2018.5.8
  17. Bartkowiak-Wieczorek, J., et al. (2018). Importance of New Generation Sequencing HLA Typing in Renal Transplantation—Preliminary Report. Transplantation Proceedings. DOI: 10.1016/j.transproceed.2018.05.005
  18. Bartkowiak-Wieczorek, J., et al. (2017). Effect of Salvia miltiorrhiza Root Extract on Brain Acetylcholinesterase, Butyrylcholinesterase Activities, mRNA Levels, and Memory in Rats. Physiology and Behavior. DOI: 10.1016/j.physbeh.2017.02.019
  19. Bartkowiak-Wieczorek, J. (2017). Role of the ITLN1 Gene Allelic Variant in Patients with Diabetic Foot. Polish Archives of Internal Medicine. DOI: 10.20452/pamw.4008
  20. Bartkowiak-Wieczorek, J., et al. (2017). Polymorphic Variants of Collagen 1A2 Gene in Osteopenia and Osteoporosis Development in Postmenopausal Women. Ginekologia Polska. DOI: 10.5603/GP.A2017.0077
  21. Bartkowiak-Wieczorek, J., et al. (2016). Analysis of Aldosterone Synthase and Atrial Natriuretic Peptide Gene Polymorphisms in Women with Preeclampsia. European Journal of Obstetrics and Gynecology and Reproductive Biology. DOI: 10.1016/j.ejogrb.2015.11.012
  22. Bartkowiak-Wieczorek, J. (2016). Association Between ACE Gene Polymorphism and Metabolic Disturbances in PCOS Women. Molecular Medicine Reports. DOI: 10.3892/mmr.2016.5910
  23. Bartkowiak-Wieczorek, J., et al. (2016). Influence of Melissa officinalis Leaf Extract on Long-Term Memory in Scopolamine Animal Model. Evidence-Based Complementary and Alternative Medicine. DOI: 10.1155/2016/9729818
  24. Bartkowiak-Wieczorek, J. (2016). Association Between Metabolic Syndrome Development in PCOS Patients and MTHFR Gene Polymorphism. Ginekologia Polska. DOI: 10.17772/gp/61751
  25. Bartkowiak-Wieczorek, J., et al. (2016). Antinociceptive and Anti-Inflammatory Effects of Oleanolic Acid and Aspirin Conjugate. Frontiers in Pharmacology. DOI: 10.3389/fphar.2016.00202
  26. Bartkowiak-Wieczorek, J. (2016). Importance of MDR1 Gene Polymorphisms in Colorectal Cancer Etiology. Przegląd Gastroenterologiczny. DOI: 10.5114/pg.2015.51185
  27. Bartkowiak-Wieczorek, J., et al. (2016). Influence of TNF-α Polymorphism on Immunosuppressive Therapy Efficacy in Kidney Transplant Patients. Journal of Physiology and Pharmacology.
  28. Bartkowiak-Wieczorek, J. (2016). Significance of Genetic Polymorphisms in the RANKL/RANK/OPG Signaling Pathway in Postmenopausal Osteoporosis. Ginekologia Polska. DOI: 10.5603/GP.2016.0014
  29. Bartkowiak-Wieczorek, J., et al. (2015). Analysis of ADIPOQ Gene Polymorphisms in Women with Excessive Weight Gain During Pregnancy. Ginekologia Polska. DOI: 10.17772/gp/2421
  30. Bartkowiak-Wieczorek, J., et al. (2015). Evaluation of Anti-Inflammatory and Analgesic Activities of Extracts from Chelidonium majus L. Herb. Central European Journal of Immunology. DOI: 10.5114/ceji.2015.54607
  31. Bartkowiak-Wieczorek, J. (2015). *Gender-Specific Implications for Pharmacology in Women of Child

 

Dr YUKSEL ÇETİN | Functional Biomaterials | Best Researcher Award

Dr YUKSEL ÇETİN | Functional Biomaterials | Best Researcher Award 🏆

Chief Researcher at The Scientific and Technological Research Council (TUBITAK), Marmara Research Center (MAM)🎓

Dr. Yüksel Çetin is the Chief Researcher at the Life Sciences, Medical Biotechnology Unit of TUBITAK’s Marmara Research Centre, Turkey. He earned his PhD in Food Science and Technology from the University of Nebraska-Lincoln, with a minor in Toxicology. His postdoctoral work focused on pulmonary disease pathogenesis through the FP 6 PULMONET project. Yüksel specializes in in vivo and in vitro toxicology, studying novel drugs, biomaterials, and nanoparticles. He leads several funded projects, including NANOBIO4CAN for cancer therapies and the development of 3D cardiac patches. His commitment to innovation and safety in biotechnology highlights his significant contributions to the field.

 

Professional Profile 

Education 🎓

Yüksel Çetin earned his PhD in Food Science and Technology from the University of Nebraska-Lincoln, USA, with a minor in Toxicology from the Toxicology Centre for Environmental Toxicology at the Eppley Institute for Research in Cancer and Allied Diseases. His postdoctoral research focused on the pathogenesis of pulmonary disease through the FP 6 PULMONET Marie Curie Project at the European Commission’s Joint Research Centre.

Work Experience 🏢

Currently serving as Chief Researcher at the Life Sciences, Medical Biotechnology Unit of the Scientific & Technological Research Council of Turkey (TUBITAK) at the Marmara Research Centre, Yüksel has held multiple leadership roles in various research projects, overseeing significant budgets and collaborative efforts aimed at advancing medical biotechnology and toxicology.

Skills 🔬

Yüksel possesses extensive expertise in in vivo and in vitro toxicology, molecular mechanisms of drugs, biomaterials, and medical devices. His proficiency in three-dimensional bioprinting technology and nanoparticle research is complemented by a robust background in evaluating the pathogenicity of xenobiotics.

Awards and Honors 🏆

He has been recognized for his innovative contributions to medical biotechnology and has received multiple grants and funding for his research projects, underlining his reputation as a leader in the field.

Membership 🌍

Yüksel is an active member of various scientific organizations and advisory boards, including involvement in Horizon 2020 projects focused on nanotechnology and safety assessments, emphasizing his commitment to advancing scientific research and innovation.

Teaching Experience 👨‍🏫

With a wealth of knowledge, Yüksel has shared his expertise through teaching roles at various academic institutions, focusing on topics related to food science, toxicology, and medical biotechnology, mentoring the next generation of scientists.

Research Focus 🔍

His research primarily investigates the toxicological effects of novel drugs, biomaterials, and nanoparticles, as well as the development of innovative therapeutic approaches for cancer treatment. Yüksel’s projects encompass antiviral research, tissue regeneration, and vaccine development, demonstrating his dedication to impactful scientific advancements.

 

Publications : 

  • Cytotoxicity of Fusarium mycotoxins to mammalian cell cultures as determined by the MTT bioassay
    Year: 2005
    Journal: Food and Chemical Toxicology
  • In vitro evaluation of the toxicity induced by nickel soluble and particulate forms in human airway epithelial cells
    Year: 2011
    Journal: Toxicology in vitro
  • Evaluation of reduced toxicity of zearalenone by extrusion processing as measured by the MTT cell proliferation assay
    Year: 2005
    Journal: Journal of Agricultural and Food Chemistry
  • Characterisation of cadmium chloride induced molecular and functional alterations in airway epithelial cells
    Year: 2009
    Journal: Cellular Physiology and Biochemistry
  • Evaluation of the molecular mechanisms of a palladium (II) saccharinate complex with terpyridine as an anticancer agent
    Year: 2014
    Journal: Anti-Cancer Drugs
  • A novel system to study the impact of epithelial barriers on cellular metabolism
    Year: 2000
    Journal: Annals of Biomedical Engineering
  • Confirmation of reduced toxicity of deoxynivalenol in extrusion-processed corn grits by the MTT bioassay
    Year: 2006
    Journal: Journal of Agricultural and Food Chemistry
  • The neutralization effect of montelukast on SARS-CoV-2 is shown by multiscale in silico simulations and combined in vitro studies
    Year: 2022
    Journal: Molecular Therapy
  • The Development of Novel Approaches to the Identification of Chemical and Protein Respiratory Allergens: Progress made from the Conclusions and Recommendations of ECVAM Workshop 60
    Year: 2008
    Journal: Alternatives to Laboratory Animals
  • Fabrication of a dual-drug-loaded smart niosome-g-chitosan polymeric platform for lung cancer treatment
    Year: 2023
    Journal: Polymers
  • Instant determination of the artemisinin from various Artemisia annua L. extracts by LC‐ESI‐MS/MS and their in‐silico modelling and in vitro antiviral activity
    Year: 2022
    Journal: Phytochemical Analysis
  • A palladium (II)–saccharinate complex of terpyridine exerts higher anticancer potency and less toxicity than cisplatin in a mouse allograft model
    Year: 2017
    Journal: Anti-Cancer Drugs

Hussein Al-Hakeim | Neuroscience | Best Researcher Award

Prof Hussein Al-Hakeim | Neuroscience | Best Researcher Award 🏆

Peofessor of Medical Biochemistry at University of Kufa, Iraq🎓

 Professor Dr. Hussein Kadhem Al-Hakeim is a distinguished Iraqi academic specializing in Medical Biochemistry, Biological Psychiatry, Insulin Resistance, and Nanobiochemistry. Residing at 28 Al-Adala, Najaf, Iraq, he is currently affiliated with Kufa University. Dr. Al-Hakeim is well-recognized for his significant contributions to biochemistry and clinical chemistry in Iraq.

Professional Profile 

Education🎓

Dr. Al-Hakeim earned his B.Sc. in Chemistry from the University of Mosul in 1991, followed by an M.Sc. in Medical Chemistry and a High Graduate Diploma in Clinical Biochemistry from Al-Nahrain University in 2000 and 2001, respectively. He completed his Ph.D. in Medical Chemistry at the same institution in 2004. Additionally, he holds a Diploma in International Law and Diplomatic Relations from Cairo Regional Center for Training and Arbitration, obtained in 2017.

 💼Work Experience

Dr. Al-Hakeim has held various leadership roles, including Head of the Department of Chemistry at Kufa University and the University of Karbala. He has served as the Assistant Dean and Chief of the Examination Committee at the College of Science, University of Karbala. His teaching career includes extensive experience as a lecturer in postgraduate studies across multiple universities in Iraq.

 🛠️Skills

Dr. Al-Hakeim is an expert in Medical and Clinical Biochemistry, Nanobiochemistry, Insulin Resistance, and Stem Cell Technology. He has a profound knowledge of biostatistics, biosensors, and protein-nanoparticle interactions, and is skilled in advanced laboratory techniques and various biochemical analysis methods.

 🏆Awards and Honors

Dr. Al-Hakeim’s work has been recognized at numerous scientific congresses and conferences worldwide. His research contributions and academic leadership have earned him a prominent place in Iraq’s scientific community.

 Membership 🏛️and Affiliations 🤝

Dr. Al-Hakeim is an active member of several scientific committees and associations. He frequently participates in international conferences and has presented his research at numerous prestigious events.

 Teaching Experience👨‍🏫

Dr. Al-Hakeim has taught a wide range of courses at the B.Sc., M.Sc., and Ph.D. levels. His subjects include Advanced Biochemistry, Clinical Biochemistry, Toxicology, Endocrinology, Biostatistics, and more. He has also coordinated several courses and training programs, contributing significantly to the academic development of his students.

 Research Focus 🔬

Dr. Al-Hakeim’s research interests encompass Medical Biochemistry, Clinical Chemistry, Insulin Resistance Mechanisms, Stem Cell Technology, Nanobiochemistry, and the Medical Applications of Surface Chemistry. His work is particularly focused on protein-nanoparticle interactions, a field where he has made substantial contributions.

📖Publications : 

  • IL-6, IL-18, sIL-2R, and TNFα proinflammatory markers in depression and schizophrenia patients who are free of overt inflammation
    • 🗓️ Year: 2015
    • 📚 Journal: Journal of Affective Disorders
  • Long-COVID post-viral chronic fatigue and affective symptoms are associated with oxidative damage, lowered antioxidant defenses, and inflammation: a proof of concept
    • 🗓️ Year: 2023
    • 📚 Journal: Molecular Psychiatry
  • Study of the effect of iron overload on the function of endocrine glands in male thalassemia patients
    • 🗓️ Year: 2011
    • 📚 Journal: Asian Journal of Transfusion Science
  • Intersections between pneumonia, lowered oxygen saturation percentage, and immune activation mediate depression, anxiety, and chronic fatigue syndrome-like symptoms due to COVID
    • 🗓️ Year: 2021
    • 📚 Journal: Journal of Affective Disorders
  • The tryptophan catabolite or kynurenine pathway in schizophrenia: meta-analysis reveals dissociations between central, serum, and plasma compartments
    • 🗓️ Year: 2022
    • 📚 Journal: Molecular Psychiatry
  • The tryptophan catabolite or kynurenine pathway in COVID-19 and critical COVID-19: a systematic review and meta-analysis
    • 🗓️ Year: 2022
    • 📚 Journal: medRxiv
  • Serum levels of lipids, calcium, and magnesium in women with hypothyroidism and cardiovascular diseases
    • 🗓️ Year: 2009
    • 📚 Journal: Journal of Laboratory Physicians
  • High Mobility Group Protein 1 and Dickkopf-Related Protein 1 in Schizophrenia and Treatment-Resistant Schizophrenia: Associations With Interleukin-6, Symptom Domains, and…
    • 🗓️ Year: 2020
    • 📚 Journal: Schizophrenia Bulletin
  • IL-10 is associated with increased mu-opioid receptor levels in major depressive disorder
    • 🗓️ Year: 2019
    • 📚 Journal: European Psychiatry
  • Lowered oxygen saturation and increased body temperature in acute COVID-19 largely predict chronic fatigue syndrome and affective symptoms due to Long COVID: A precision…
    • 🗓️ Year: 2023
    • 📚 Journal: Acta Neuropsychiatrica
  • The physio-affective phenome of major depression is strongly associated with biomarkers of astroglial and neuronal projection toxicity which in turn are associated with…
    • 🗓️ Year: 2023
    • 📚 Journal: Journal of Affective Disorders
  • Serum interleukin levels and insulin resistance in major depressive disorder
    • 🗓️ Year: 2018
    • 📚 Journal: CNS & Neurological Disorders – Drug Targets
  • Lowered quality of life in long COVID is predicted by affective symptoms, chronic fatigue syndrome, inflammation, and neuroimmunotoxic pathways
    • 🗓️ Year: 2022
    • 📚 Journal: International Journal of Environmental Research and Public Health
  • Schizophrenia phenomenology revisited: positive and negative symptoms are strongly related reflective manifestations of an underlying single trait indicating overall severity…
    • 🗓️ Year: 2020
    • 📚 Journal: CNS Spectrums
  • The tryptophan catabolite or kynurenine pathway in major depressive and bipolar disorder: A systematic review and meta-analysis
    • 🗓️ Year: 2022
    • 📚 Journal: Brain, Behavior, & Immunity – Health
  • The neuroimmune and neurotoxic fingerprint of major neurocognitive psychosis or deficit schizophrenia: a supervised machine learning study
    • 🗓️ Year: 2020
    • 📚 Journal: Neurotoxicity Research
  • Serum apelin and galectin-3 in preeclampsia in Iraq
    • 🗓️ Year: 2020
    • 📚 Journal: Hypertension in Pregnancy
  • Construction of a Neuro-Immune-Cognitive Pathway-Phenotype Underpinning the Phenome of Deficit Schizophrenia
    • 🗓️ Year: 2020
    • 📚 Journal: Current Topics in Medicinal Chemistry
  • Estimation of Serum Copper, Manganese, Selenium, and Zinc in Hypothyroidism Patients
    • 🗓️ Year: 2009
    • 📚 Journal: IUFS Journal of Biology
  • Major depression in children with transfusion-dependent thalassemia is strongly associated with the combined effects of blood transfusion rate, iron overload, and increased pro…
    • 🗓️ Year: 2020
    • 📚 Journal: Neurotoxicity Research

Dr Tanmoy Bhattacharya | Computational Modeling | Best Researcher Award

Dr Tanmoy Bhattacharya |  External Professor | Best Researcher Award🏆

External Professor at Santa Fe Institute,United States🎓

Tanmoy Bhattacharya is a distinguished scientist and researcher, currently holding the position of Scientist 5 and Laboratory Fellow at Los Alamos National Laboratory (LANL) and serving as an External Professor at the Santa Fe Institute. With a career spanning over three decades, Bhattacharya has made significant contributions to physics, computational biology, and microbiology. He is renowned for his interdisciplinary research, leadership in scientific collaborations, and innovations in computational tools that have had a lasting impact on the scientific community.

Professional Profile 

🧑‍🎓Education🎓

Tanmoy Bhattacharya’s academic journey began at the prestigious Indian Institute of Technology (IIT) Kharagpur, where he earned his B.Sc. in Physics in 1982, followed by an M.Sc. in Physics in 1984 under the guidance of Prof. Debabrata Basu. He then pursued his Ph.D. in Physics at the Tata Institute of Fundamental Research in Bombay, India, completing his dissertation on “Tree Unitarity Breakdown in Spontaneously Broken N=1 Supergravity Theories and Phenomenology of a Superlight Gravitino” in 1989 under the mentorship of Prof. Probir Roy.

💼Work Experience

Bhattacharya’s professional career began with post-doctoral fellowships at Brookhaven National Laboratory, Centre de Energie Atomique in Saclay, and Los Alamos National Laboratory (LANL) between 1989 and 1995. He transitioned to a staff role at LANL in 1995 and has been a significant contributor to the laboratory ever since. His roles have evolved from Limited Term Staff Member to Scientist 5 and Laboratory Fellow, reflecting his growing expertise and leadership within the institution. Additionally, he served as a Professor at the Santa Fe Institute from 2006 to 2017 and continues to contribute as an External Professor.

🛠️Skills

Tanmoy Bhattacharya possesses a wide range of skills, including expertise in theoretical physics, computational biology, and microbiology. His technical skills extend to programming and software development, having contributed to the creation of tools like hyperTeX, the hyperref LaTeX package, and the development of the Apache webserver. His ability to lead large-scale research collaborations and his contributions to computational methods in high-energy physics and lattice quantum chromodynamics demonstrate his proficiency in both scientific research and technical innovation.

🏆Awards and Honors

Bhattacharya has been the recipient of numerous prestigious awards throughout his career. Some of his notable honors include the Los Alamos Distinguished Performance Award (1999, 2022), the Duke CHAVI-ID Outstanding Contributions Award (2015), and recognition as a Highly Cited Researcher by Clarivate Analytics in multiple years (2016, 2018, 2019, 2020). In 2020, he was named a Los Alamos Laboratory Fellow, a testament to his exceptional contributions to the scientific community. Most recently, in 2023, he was recognized among the top scientists in Biology and Biochemistry by research.com and was part of the LANL team that won an R&D 100 award for the “CANDLE” project.

 Membership 🏛️

Tanmoy Bhattacharya is a member of the American Physical Society, actively participating in divisions such as Computational Physics and Particles and Fields. He has held leadership roles in the US Lattice Quantum Chromodynamics (USQCD) collaboration, contributing to the strategic direction of high-energy physics. Additionally, he moderates the hep-lat arXiv and is involved in the International Society of Genetic Genealogy.

Research Focus 🔬

Bhattacharya’s research focuses primarily on theoretical physics, computational biology, and microbiology. His work in lattice quantum chromodynamics (LQCD) has been pivotal in understanding fundamental particles and forces. In the field of computational biology, he has made significant contributions to HIV research and genetic analysis, as evidenced by his work with the HIV Genetics and HIV Database teams at LANL. His interdisciplinary approach allows him to tackle complex problems at the intersection of physics, biology, and computer science, making his research both innovative and impactful across multiple fields.

📖Publications : 

  1. High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
    🗓️ 2024 | 📰 Scientific Reports | 🧠📈
  2. The pion-nucleon sigma term from Lattice QCD
    🗓️ 2024 | 📰 Proceedings of Science | 💥🔬
  3. Control variates for lattice field theory
    🗓️ 2024 | 📰 Physical Review D | 📊🧮
  4. Prevention efficacy of the broadly neutralizing antibody VRC01 depends on HIV-1 envelope sequence features
    🗓️ 2024 | 📰 Proceedings of the National Academy of Sciences of the United States of America | 🦠💉
  5. Nucleon isovector axial form factors
    🗓️ 2024 | 📰 Physical Review D | ⚛️📏
  6. Deep learning uncertainty quantification for clinical text classification
    🗓️ 2024 | 📰 Journal of Biomedical Informatics | 🤖📚
  7. Confronting the axial-vector form factor from lattice QCD with MINERvA antineutrino-proton data
    🗓️ 2023 | 📰 Physical Review D | 🧪🔬
  8. Quark chromoelectric dipole moment operator on the lattice
    🗓️ 2023 | 📰 Physical Review D | ⚛️⚙️
  9. Electroweak box diagram contribution for pion and kaon decay from lattice QCD
    🗓️ 2023 | 📰 Physical Review D | 📦🔋
  10. nEDM from the theta-term and chromoEDM operators
    🗓️ 2023 | 📰 Proceedings of Science | 🧲📐

Saranya R | Deep Learning | Best Researcher Award

Mrs. Saranya R | Deep Learning | Best Researcher Award

Mrs. Saranya R Aarupadai Veedu institute of technology, India

“Mrs. Saranya R is a dedicated educator at Aarupadai Veedu Institute of Technology, India, known for her passion for teaching and commitment to student success. With expertise in [mention her area of specialization if known], she brings [number] years of experience in academia, shaping the minds of future engineers and professionals. Mrs. Saranya R is admired for her innovative teaching methods and contributions to [mention any specific academic or research initiatives she’s involved in]. She holds [mention any relevant degrees or qualifications]. Outside academia, she enjoys [mention any hobbies or interests].”

 

Professional Profile:

Education

M.Tech (CSE),SRM University, 2014,Percentage: 87% (First Class with Distinction),BE (CSE),Vels Srinivasa College of Engg and Tech, Anna University, 2009,Percentage: 71%,HSC (Higher Secondary School Certificate),St. Joseph of Cluny Matriculation Higher Secondary School, Neyveli, 2005,Percentage: 83%,SSLC (Secondary School Leaving Certificate),St. Joseph of Cluny Matriculation Higher Secondary School, Neyveli, 2003,Percentage: 63%

 

Field of Interest:

Artificial Intelligence,Blockchain,Computer Networks,C, C++, Java, Python,Software Engineering

Achievements:

Acted as Faculty AdvisorOrganized association inaugural functions,Achieved over 90% results in more than 3 subjects,Published paper on “Enhancing COVID-19 diagnosis from lung CT scans using optimized quantum-inspired complex convolutional neural network with ResNeXt-50” in Biomedical Signal Processing and Control (Q1 journal, impact factor 5.1, cite score 9.8)

Work Experience:

Research Scholar (Full Time),Aarupadai Veedu Institute of Technology,Present,Assistant Professor,Sri Ramanujar Engineering College, Chennai,March 2010 – Present,Trainee Software Developer,Vojus Incorporated,May 2009 – February 2010

Subjects Taught:

Object Oriented Programming,Fundamentals of Computer Programming,Operating Systems,Computer Networks,Object Oriented Analysis and Design,Engineering Economics and Financial Accounting

Publications
  • Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network (Meenakshi, B., Karunkuzhali, D. Computer Standards and Interfaces, 2024, 88, 103802) 📚 (2 Citations)
  • Robotic Restroom Hygiene Solutions with IoT and Recurrent Neural Networks for Clean Facilities (Nasreen, A.K., Shenbagapriya, M., Seeni, S.K., … Meenakshi, B., Murugan, S. 7th International Conference on Inventive Computation Technologies, ICICT 2024, pp. 1842–1847) 📚 (0 Citations)
  • Automotive CAN-Based Intelligent Collision Avoidance System using Machine Learning and Cloud Computing (Santhuja, P., Selvi, C., Jehan, C., … Meenakshi, B., Mathivanan, K. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1156–1161) 📚 (0 Citations)
  • Agriculture Yield Estimation Using Machine Learning Algorithms (Raman, R., Kantari, H., Gokhale, A.A., … Meenakshi, B., Srinivasan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 187–191) 📚 (11 Citations)
  • Speed and Torque Optimization of Motor Drive Through Intelligent Control Approaches (Kantari, H., Vadivel, M., Jagadeesan, P., … Meenakshi, B., Velmurugan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 192–196) 📚 (0 Citations)
  • A Gradient Boosting Algorithm to Predict Energy Consumption for Home Applications (Sivakumar, V.G., Arunfred, N., Anusha, N., … Meenakshi, B., Sujatha, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Wind Power Forecasting with Support Vector Machines using Sparrow Search Algorithm (Lakshmi, V.V., Giriprasad, S., Vimal, S.P., … Meenakshi, B., Srinivasan, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Smart Renewable Energy Management Using Internet of Things and Reinforcement Learning (Dhayalan, V., Raman, R., Kalaivani, N., … Reddy, R.S., Meenakshi, B. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Blockchain-enabled joint trust (RF-AOA-HTSA) algorithm-based multiobjective clustering protocol for wireless sensor network (Meenakshi, B., Karunkuzhali, D., Ali, S.M. Concurrency and Computation: Practice and Experience, 2023, 35(28), e7860) 📚 (0 Citations)
  • Enhanced Elman spike neural network for cluster head based energy aware routing in WSN (Meenakshi, B., Karunkuzhali, D. Transactions on Emerging Telecommunications Technologies, 2023, 34(3), e4708) 📚 (5 Citations)

 

Meenakshi B | Computational Modeling | Best Researcher Award

Dr. Meenakshi B | Computational Modeling | Best Researcher Award

Professor of Sri Sairam Engineering College, India

Dr. Meenakshi B is a distinguished Professor in Information and Communication Engineering 🎓📡, holding an M.E. and Ph.D. in the field. With an extensive teaching career spanning over three decades, she has guided both undergraduate 👨‍🏫 and postgraduate 📖 students. Dr. Meenakshi has a robust publication record, contributing to national and international journals and conferences 🌍📚. She is actively involved in professional development, having attended numerous FDPs, workshops, webinars, and online courses 🎓💻. Her research focuses on energy-efficient wireless sensor networks, and she has received funding for several innovative projects 🌿🔧. Dr. Meenakshi’s achievements include several patents and a book on transmission lines and networks 📘🔬. A member of various prestigious professional bodies, she is dedicated to advancing technology and education in her field \

 

Professional Profile:

Education

Dr. Meenakshi B has an impressive educational background in Information and Communication Engineering 🎓📡. She holds both an M.E. and a Ph.D. in the field, which have laid a strong foundation for her extensive career in academia and research 📘🔬. Her advanced studies have equipped her with the knowledge and skills necessary to contribute significantly to her area of specialization. Throughout her education, Dr. Meenakshi has demonstrated a commitment to excellence and a passion for learning, which continue to drive her professional endeavors 🌟📖.

 

Professional Experience

Dr. Meenakshi B boasts an impressive professional journey in the field of Information and Communication Engineering 🎓📡. She began her career as a Graduate Apprentice at Tuticorin Thermal Power Station 🔌, and progressed through various academic positions, including Lecturer roles at Seethai Ammal Polytechnic and Alagappa Polytechnic 👩‍🏫. She served as a Senior Lecturer, Assistant Professor, Associate Professor, and finally as a Professor at Sri Sairam Engineering College 👩‍🎓. Her industry experience includes a stint at Hindustan College of Engineering 🏢. Dr. Meenakshi has consistently achieved 100% results in numerous subjects, demonstrating her dedication and expertise in teaching 📈💡. Her extensive experience is complemented by her involvement in professional bodies and her numerous contributions to academia and research 🌐🔬.

Research Interest

Dr. Meenakshi B’s research interests are deeply rooted in the field of Information and Communication Engineering 🎓📡. She focuses on developing energy-efficient routing protocols for wireless sensor networks, which are crucial for enhancing communication efficiency and sustainability 🌿🔧. Her work also extends to the study and application of neural networks, particularly in power systems, aiming to improve their reliability and performance through advanced computational techniques 🧠⚡. Additionally, Dr. Meenakshi is passionate about exploring the optical properties of materials for potential applications in optical communication and biomedical instrumentation 🔬💡. Her interest in innovative technology integration is evident in her research on smart grids, IoT-based solutions, and AI-driven network security 🌐🤖. Through her work, she aims to contribute to the advancement of technology that is both cutting-edge and beneficial to society 🌍📈.

Award and Honor

Dr. Meenakshi B has received numerous awards and honors throughout her distinguished career in Information and Communication Engineering 🎓📡. She has been recognized for achieving 100% results in various subjects, demonstrating her exceptional teaching abilities and dedication to student success 🏅📈. Her innovative projects have secured significant funding, including grants from DST-IEDC and the Tamil Nadu State Council for Science and Technology for her pioneering work in water desalination and waste management systems 🌿🔧. Dr. Meenakshi’s contributions to research and development have been acknowledged through multiple patents in areas such as IoT-based systems, AI-driven applications, and wireless sensor networks 📜🤖. She is also a recipient of numerous professional accolades, reflecting her commitment to advancing technology and education in her field 🌐📚.

 

Research Skills

Dr. Meenakshi B possesses a diverse and advanced skill set in research, particularly in Information and Communication Engineering 🎓📡. Her expertise includes the synthesis and application of complex engineering principles to solve real-world problems, such as energy-efficient wireless sensor networks and neural networks 💡🔬. She has a proven ability to publish high-quality research, with numerous contributions to national and international journals and conferences 📝🌍. Dr. Meenakshi excels in project management, having successfully secured and managed funded projects focused on innovative technologies like water desalination systems and waste disposal management 🌿🔧. Her proficiency in guiding and mentoring students and colleagues, combined with her hands-on experience in consultancy projects, underscores her capability to bridge the gap between theoretical research and practical application 👩‍🏫🤝.

Publications
  • Enhancing cyber security in WSN using optimized self-attention-based provisional variational auto-encoder generative adversarial network (Meenakshi, B., Karunkuzhali, D. Computer Standards and Interfaces, 2024, 88, 103802) 📚 (2 Citations)
  • Robotic Restroom Hygiene Solutions with IoT and Recurrent Neural Networks for Clean Facilities (Nasreen, A.K., Shenbagapriya, M., Seeni, S.K., … Meenakshi, B., Murugan, S. 7th International Conference on Inventive Computation Technologies, ICICT 2024, pp. 1842–1847) 📚 (0 Citations)
  • Automotive CAN-Based Intelligent Collision Avoidance System using Machine Learning and Cloud Computing (Santhuja, P., Selvi, C., Jehan, C., … Meenakshi, B., Mathivanan, K. Proceedings of the 2024 10th International Conference on Communication and Signal Processing, ICCSP 2024, pp. 1156–1161) 📚 (0 Citations)
  • Agriculture Yield Estimation Using Machine Learning Algorithms (Raman, R., Kantari, H., Gokhale, A.A., … Meenakshi, B., Srinivasan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 187–191) 📚 (11 Citations)
  • Speed and Torque Optimization of Motor Drive Through Intelligent Control Approaches (Kantari, H., Vadivel, M., Jagadeesan, P., … Meenakshi, B., Velmurugan, S. 2024 International Conference on Automation and Computation, AUTOCOM 2024, pp. 192–196) 📚 (0 Citations)
  • A Gradient Boosting Algorithm to Predict Energy Consumption for Home Applications (Sivakumar, V.G., Arunfred, N., Anusha, N., … Meenakshi, B., Sujatha, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Wind Power Forecasting with Support Vector Machines using Sparrow Search Algorithm (Lakshmi, V.V., Giriprasad, S., Vimal, S.P., … Meenakshi, B., Srinivasan, S. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Smart Renewable Energy Management Using Internet of Things and Reinforcement Learning (Dhayalan, V., Raman, R., Kalaivani, N., … Reddy, R.S., Meenakshi, B. 2024 2nd International Conference on Computer, Communication and Control, IC4 2024) 📚 (0 Citations)
  • Blockchain-enabled joint trust (RF-AOA-HTSA) algorithm-based multiobjective clustering protocol for wireless sensor network (Meenakshi, B., Karunkuzhali, D., Ali, S.M. Concurrency and Computation: Practice and Experience, 2023, 35(28), e7860) 📚 (0 Citations)
  • Enhanced Elman spike neural network for cluster head based energy aware routing in WSN (Meenakshi, B., Karunkuzhali, D. Transactions on Emerging Telecommunications Technologies, 2023, 34(3), e4708) 📚 (5 Citations)