Abdo Megra Geda | Cognitive Development | Best Researcher Award

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Mr. Abdo Megra Geda | Cognitive Development | Best Researcher Awardย ย ๐Ÿ†

Veterinary Microbiologist at University of Gondar, Ethiopia.

Abdo Megra Geda is a highly qualified candidate for the Best Researcher Award. With a strong educational background in Veterinary Microbiology (MSc) and Veterinary Laboratory Technology (BSc), he has made notable contributions in research, laboratory work, and academia. His three publications in reputable journals demonstrate expertise in areas like veterinary medicine, disease diagnosis, and drug resistance. Additionally, his active role in teaching, mentoring, and laboratory diagnostics highlights his commitment to advancing veterinary sciences.

Profile

Orcid

Google Scholar

 

Education ๐ŸŽ“:

Abdo Megra Geda has an exceptional academic background in veterinary sciences. He earned his Masterโ€™s degree in Veterinary Microbiology from the University of Gondar in Ethiopia, where he gained in-depth knowledge of disease diagnostics, microbiological techniques, and antimicrobial resistance. His undergraduate studies in Veterinary Laboratory Technology at Ambo University provided him with a solid foundation in laboratory science, pathology, and clinical analysis. Additionally, he has completed numerous professional training programs to enhance his expertise. These include workshops on dairy science, poultry health, and the chemical castration of stray dogs, organized by prominent institutions like Ohio State University. His participation in workshops on pathology and mechanisms of disease with trainers from the University of California and the University of Georgia underscores his commitment to continuous learning. This academic and professional training has equipped him with the technical and theoretical skills required to excel in veterinary research and diagnostics.

Work Experience ๐Ÿ’ผ:

Abdo Megra Geda has significant experience in veterinary laboratory technology and education. He currently works as Chief Technical Assistant at the University of Gondar, where he oversees laboratory-based teaching, student mentoring, and clinical diagnostics. His role includes designing laboratory manuals, preparing diagnostic protocols, and guiding postgraduate students in research projects. Previously, he served as a Senior Technical Assistant at the College of Veterinary Medicine and Animal Sciences, University of Gondar. In this role, he gained valuable experience in diagnosing biological samples, managing laboratory operations, and supporting student learning. Abdoโ€™s professional experience extends beyond technical skills, as he has honed his teaching abilities through practical demonstrations for students. His strong leadership, organizational skills, and intercultural communication abilities make him an excellent team player and mentor. These experiences have enabled him to make substantial contributions to veterinary education and research.

 

Awards and Honors ๐Ÿ†

Abdo Megra Geda has demonstrated excellence in academia and research, earning recognition for his contributions to veterinary science. Though specific awards are not detailed in his current profile, his successful publication record and academic involvement highlight his potential to receive honors in the future. His participation in prestigious training programs, such as the International Dairy Certificate Program and workshops on advanced veterinary techniques, reflects his commitment to professional growth. These achievements underline his dedication to veterinary education and research. As a proactive and diligent researcher, Abdo continues to make strides in his field, paving the way for future accolades. His ability to contribute meaningfully to veterinary science positions him as a strong candidate for recognition in teaching, diagnostics, and research excellence. With continued efforts and further accomplishments, he is poised to earn honors that reflect his hard work and dedication to animal health and welfare.

Research Interests:

Abdo Megra Gedaโ€™s research focuses on advancing veterinary science through disease diagnostics, antimicrobial resistance, and parasitology. His work emphasizes the detection and treatment of infectious diseases in animals, contributing to the improvement of animal health and public safety. A significant aspect of his research involves studying Fowl Cholera in chickens, analyzing current diagnostic trends, and identifying phenotypic drug resistance. He has also explored the prevalence of ixodid ticks in cattle, providing insights into tick-borne diseases that impact livestock productivity. Another area of focus is teratogenic effects on neural tube development, shedding light on congenital abnormalities in veterinary medicine. Abdoโ€™s commitment to addressing real-world challenges in veterinary health is evident in his publication record and ongoing diagnostic projects. His work bridges the gap between research and practical applications, with the aim of improving veterinary practices, supporting sustainable animal husbandry, and promoting effective disease management strategies.

๐Ÿ“š Publicationsย 

  • Hematobiochemical Alterations and Lesion Characterization Caused by Fasciolosis in Cattle Slaughtered at Gondar ELFORA Abattoir, Ethiopia
    • Authors: AB Temesgen, T Mitiku, M Birhan, MC Kebede, M Yesuf, M Yayeh, …
    • Journal: bioRxiv
    • Year: 2024
    • DOI: 10.607441
  • Prevalence and Identification of Major Ixodid Ticks of Cattle in Guder Town, West Shewa, Ethiopia
    • Authors: ZG Wassie, AB Temesgen, AM Geda
    • Journal: African Journal of Pharmaceutical Sciences
    • Year: 2024

Conclusionย 

Abdo Megra Geda possesses an impressive combination of academic achievements, research expertise, and teaching excellence that makes him a strong contender for the Best Researcher Award. By addressing minor gaps in publication volume and interdisciplinary collaborations, he can further enhance his research profile and contribution to veterinary sciences.

 

 

Joanna Bartkowiak-Wieczorek | Pharmacology | Best Researcher Award

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Dr. Joanna Bartkowiak-Wieczorek | Pharmacology | Best Researcher Awardย ๐Ÿ†

Poznan University of Medical Sciences, Poland๐ŸŽ“

Dr.Joanna Bartkowiak-Wieczorek is an accomplished researcher and Assistant Professor at the Medical University of Karol Marcinkowski in Poznaล„, 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 Profileย 

 

๐ŸŽ“ Education

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

๐Ÿข Work Experience

Since September 2018, she has served as an Assistant Professor at the Medical University of Karol Marcinkowski in Poznaล„, 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 Poznaล„, 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 ๐Ÿ†

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.

๐Ÿ”ฌ 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.

Conclusionย 

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.

๐Ÿ“š Publilcationย 

  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, Alzheimerโ€™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.โ€”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 Transplantationโ€”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. Przeglฤ…d Gastroenterologiczny. DOI: 10.5114/pg.2015.51185
  27. Bartkowiak-Wieczorek, J., et al. (2016). Influence of TNF-ฮฑ 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

 

Saranya R | Deep Learning | Best Researcher Award

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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) ๐Ÿ“š (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. 1842โ€“1847) ๐Ÿ“š (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. 1156โ€“1161) ๐Ÿ“š (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. 187โ€“191) ๐Ÿ“š (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. 192โ€“196) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (5 Citations)

 

Meenakshi B | Computational Modeling | Best Researcher Award

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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 ๐ŸŽ“๐Ÿ“ก, holding an M.E. and Ph.D. in the field. With an extensive teaching career spanning over three decades, she has guided both undergraduate ๐Ÿ‘จโ€๐Ÿซ and postgraduate ๐Ÿ“– students. Dr. Meenakshi has a robust publication record, contributing to national and international journals and conferences ๐ŸŒ๐Ÿ“š. She is actively involved in professional development, having attended numerous FDPs, workshops, webinars, and online courses ๐ŸŽ“๐Ÿ’ป. Her research focuses on energy-efficient wireless sensor networks, and she has received funding for several innovative projects ๐ŸŒฟ๐Ÿ”ง. Dr. Meenakshi’s achievements include several patents and a book on transmission lines and networks ๐Ÿ“˜๐Ÿ”ฌ. 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 ๐ŸŽ“๐Ÿ“ก. 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 ๐Ÿ“˜๐Ÿ”ฌ. 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 ๐ŸŒŸ๐Ÿ“–.

 

Professional Experience

Dr. Meenakshi B boasts an impressive professional journey in the field of Information and Communication Engineering ๐ŸŽ“๐Ÿ“ก. She began her career as a Graduate Apprentice at Tuticorin Thermal Power Station ๐Ÿ”Œ, and progressed through various academic positions, including Lecturer roles at Seethai Ammal Polytechnic and Alagappa Polytechnic ๐Ÿ‘ฉโ€๐Ÿซ. She served as a Senior Lecturer, Assistant Professor, Associate Professor, and finally as a Professor at Sri Sairam Engineering College ๐Ÿ‘ฉโ€๐ŸŽ“. Her industry experience includes a stint at Hindustan College of Engineering ๐Ÿข. Dr. Meenakshi has consistently achieved 100% results in numerous subjects, demonstrating her dedication and expertise in teaching ๐Ÿ“ˆ๐Ÿ’ก. Her extensive experience is complemented by her involvement in professional bodies and her numerous contributions to academia and research ๐ŸŒ๐Ÿ”ฌ.

Research Interest

Dr. Meenakshi B’s research interests are deeply rooted in the field of Information and Communication Engineering ๐ŸŽ“๐Ÿ“ก. She focuses on developing energy-efficient routing protocols for wireless sensor networks, which are crucial for enhancing communication efficiency and sustainability ๐ŸŒฟ๐Ÿ”ง. 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 ๐Ÿง โšก. Additionally, Dr. Meenakshi is passionate about exploring the optical properties of materials for potential applications in optical communication and biomedical instrumentation ๐Ÿ”ฌ๐Ÿ’ก. Her interest in innovative technology integration is evident in her research on smart grids, IoT-based solutions, and AI-driven network security ๐ŸŒ๐Ÿค–. Through her work, she aims to contribute to the advancement of technology that is both cutting-edge and beneficial to society ๐ŸŒ๐Ÿ“ˆ.

Award and Honor

Dr. Meenakshi B has received numerous awards and honors throughout her distinguished career in Information and Communication Engineering ๐ŸŽ“๐Ÿ“ก. She has been recognized for achieving 100% results in various subjects, demonstrating her exceptional teaching abilities and dedication to student success ๐Ÿ…๐Ÿ“ˆ. 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 ๐ŸŒฟ๐Ÿ”ง. 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 ๐Ÿ“œ๐Ÿค–. She is also a recipient of numerous professional accolades, reflecting her commitment to advancing technology and education in her field ๐ŸŒ๐Ÿ“š.

 

Research Skills

Dr. Meenakshi B possesses a diverse and advanced skill set in research, particularly in Information and Communication Engineering ๐ŸŽ“๐Ÿ“ก. 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 ๐Ÿ’ก๐Ÿ”ฌ. She has a proven ability to publish high-quality research, with numerous contributions to national and international journals and conferences ๐Ÿ“๐ŸŒ. 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 ๐ŸŒฟ๐Ÿ”ง. 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 ๐Ÿ‘ฉโ€๐Ÿซ๐Ÿค.

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) ๐Ÿ“š (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. 1842โ€“1847) ๐Ÿ“š (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. 1156โ€“1161) ๐Ÿ“š (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. 187โ€“191) ๐Ÿ“š (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. 192โ€“196) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (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) ๐Ÿ“š (5 Citations)