Marjan Shariatpanahi | Neuroscience | Best Researcher Award

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Dr Marjan Shariatpanahi |  Neuroscience | Best Researcher Award 

Associate professor at Iran university of medical sciences,Iran

Dr. Marjan Shariatpanahi is an Associate Professor in the Department of Pharmacology and Toxicology at the School of Pharmacy, Iran University of Medical Sciences, Tehran, Iran. With extensive experience in toxicology and pharmacology, Dr. Shariatpanahi has made significant contributions to research on neurodegenerative diseases and toxicology.

professional profile

scopus

google scholar

Education 🎓

Dr. Shariatpanahi holds a Doctor of Pharmacy (Pharm. D.) from Islamic Azad University, Tehran (2000-2006) with a thesis on thymidine phosphorylase and estrogen receptor alpha in colorectal cancer. She also earned a Ph.D. in Toxicology from Tehran University of Medical Sciences (2009-2014), focusing on the effects of PKG on spatial memory deficits and markers of autophagy and apoptosis in rats.

Work Experience 🏥

Dr. Shariatpanahi has a diverse professional background. She has been the Head of the Pharmacology & Toxicology Department at Iran University of Medical Sciences since 2017. Her previous roles include Dean of the Educational Office (2020-2023), Head of Student and Cultural Affairs (2019-2020), and faculty member at the Neuroscience Research Center (2018-present). She has also worked as an Assistant Professor at both Iran University of Medical Sciences and Guilan University of Medical Sciences, and as a Responsible Pharmacist in various institutions.

Skills 🛠️

Dr. Shariatpanahi is proficient in various research techniques, including IHC, Western blot, ICC, in vivo studies, and behavioral tests for neurodegenerative diseases. Her expertise extends to TLC, spectrophotometry, SPSS, PRISM, ELISA, and gas chromatography. She is also skilled in using atomic absorption machines and Endnote.

Awards and Honors 🏅

Dr. Shariatpanahi has received several accolades, including being named the best professor at the Vosough Festival of IUMS (2023) and being recognized as a selected pharmacist (2022). She was also acknowledged as a top student in toxicology and pharmacy, receiving first ranks in board examinations and seminars.

Professional Memberships 🔗

Dr. Shariatpanahi is a member of the Iranian Association of Toxicology, the Iranian Medical Council, the Iranian Association of Pharmacists, the Iranian Probiotics Society, and the Talent Society of Tehran University.

Teaching Experience 📚

Dr. Shariatpanahi has taught a wide range of courses across various levels. For Ph.D. students, she covers basics of pharmacology. For Doctor of Pharmacy students, she teaches toxicology, pharmacology, clinical toxicology, and specialized pharmacy language. Her M.Sc. teaching includes environmental toxicology, forensic toxicology, and advanced research methods, while for B.Sc. students, she focuses on toxicology.

Research Focus 🔬

Dr. Shariatpanahi’s research interests include neuroscience, with a focus on autism, Alzheimer’s disease, memory, and Parkinson’s disease. She is also involved in toxicology, environmental toxicology, pharmacology, cell signaling, stem cell therapy, and the study of behavioral investigations on animals. Her work explores various markers and mechanisms in carcinogenesis, angiogenesis, and the protective and toxic effects of nanoparticles.

Conclusion

Dr. Marjan Shariatpanahi’s extensive qualifications, leadership roles, significant research contributions, and recognition in the field make him an excellent candidate for the Best Researcher Award. His achievements demonstrate a strong commitment to advancing knowledge in pharmacology and toxicology, contributing valuable insights into neurodegenerative diseases, toxicology, and pharmacology.

publication 

 

Prabhu Narayan Meena | Agriculture, Plant Pathology | Best Researcher Award

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Dr Prabhu Narayan Meena | Agriculture, Plant Pathology | Best Researcher Award 

Senior Scientist at National Centre for Integrated Pest Management, New Delhi, India India

Dr. P. N. Meena is a dedicated plant pathologist with over 11 years of experience. His significant contributions to virus detection, IPM, and crop variety development have been recognized through numerous awards and honors. He has actively participated in teaching, training, and organizing farmer education programs, reflecting his commitment to advancing agricultural science and ensuring food security.

 

professional profile

Education 🎓

  • Dr. P. N. Meena has a strong academic foundation in Agriculture and Plant Pathology. He completed his B.Sc. (Agriculture) from SKRAU, Bikaner, Rajasthan, in 2002, followed by an M.Sc. (Plant Pathology) from MPUAT, Udaipur, Rajasthan, in 2004. He earned his Ph.D. in Plant Pathology from SKRAU, Bikaner, Rajasthan, in 2019. His educational background has provided him with a robust knowledge base and research skills essential for his field.

Professional Recognition

Dr. Meena has received numerous awards and recognitions, reflecting his excellence in research and contributions to plant pathology. He was awarded the Young Scientist Award by the Venus International Foundation in 2015 and topped the All India ICAR JRF entrance examination in 2003. He received the Best Plant Pathologist Award in 2019 and the Best Thesis Presentation Award in 2020. In 2024, he was honored with the Global Outstanding Scientist Award at an international conference in Nepal. Additionally, he received a certificate of appreciation for his role in organizing the IPSCONF2020.

 

Membership in Professional Societies

Dr. Meena is an active member of several professional societies, including the Indian Fibre Society, NIRJAFT, Kolkata, the Social and Farmers Welfare Society, BHU, Varanasi, and the Indian Phytopathology Society, New Delhi. These memberships indicate his engagement with the broader scientific community and his commitment to advancing his field.

Work Experience 💼

  • Scientist:
    • ICAR-NAARM, Hyderabad (Jan 2013 – Apr 2013)
    • ICAR-CRIJAF, Barrackpore, Kolkata (Apr 2013 – Dec 2017)
  • Senior Scientist:
    • ICAR-CRIJAF, Barrackpore, Kolkata (Jan 2018 – Nov 2019)
    • ICAR-NCIPM, New Delhi (Nov 2019 – Dec 2022)
    • ICAR-NCIPM, New Delhi (Jan 2023 – Present)

Skills & Expertise 🧬

  • Development of rapid virus detection techniques
  • Optimization of LAMP assays for plant virus detection
  • Implementation of IPM modules for various crops
  • Data management for pest and disease control
  • Variety development for disease resistance in crops

Awards & Recognitions 🏆

  • Young Scientist Award: Venus International Foundation, 2015
  • Best Plant Pathologist Award: GAAFES-2019, 2019
  • Best Thesis Presentation Award: GRISAAS-2020, 2020
  • Global Outstanding Scientist Award: GABELS-2024, 2024
  • Numerous editorial roles in esteemed journals

Teaching & Training Experience 👩‍🏫

  • Delivered 13 invited lectures in farmers’ training programs
  • Organized 18 Farmer Field Schools (FFS) and 5 Front Line Demonstrations (FLDs)
  • Conducted 15 trainings, workshops, and conferences
  • Served as an editor for multiple annual reports and journals

Research Focus 🔬

  • Virus Detection Methods: Developed LAMP and HNB dye-based assays for virus detection in crops like mesta and groundnut.
  • Integrated Pest Management (IPM): Developed and validated IPM modules for various crops, including kinnow, mango, capsicum, cucumber, green gram, and black gram.
  • Variety Development: Contributed to developing resistant varieties of kenaf (JBMP-4 Utkarsh) and roselle (JRR 17 Ayush) with higher fiber yield and disease resistance.

 

Publications 📚🧬

  1. Management of stem rot disease of groundnut (Arachis hypogaea) by alternate fungicides 🌱
    • Year: 2023
    • Journal: Indian Phytopathology
  2. Bio-Management of Soil-Borne Pathogens Infecting Capsicum (Capsicum annum L.) under Protected Cultivation 🌶️
    • Year: 2022
    • Journal: Indian Journal of Nematology
  3. Mesta yellow vein mosaic virus: application of loop-mediated isothermal amplification method to study efficiency of acquisition, retention and transmission by Bemisia tabaci (Hemiptera: Aleyrodidae) in Kenaf 🦟
    • Year: 2021
    • Journal: International Journal of Tropical Insect Science
  4. Efficacy of strobilurin, triazole and propylene bis-dithiocarbamate fungicides against Macrophomina phaseolina (Tassi) goid of jute 🪲
    • Year: 2021
    • Journal: Indian Phytopathology
  5. Biocontrol activity of Trichoderma harzianum, Bacillus subtilis and Pseudomonas fluorescens against Meloidogyne incognita, Fusarium oxysporum and Rhizoctonia solani 🦠
    • Year: 2021
    • Journal: Indian Phytopathology
  6. Detection of Mesta yellow vein mosaic virus (MeYVMV) in field samples by a loop-mediated isothermal amplification reaction 🔬
    • Year: 2019
    • Journal: Journal of Virological Methods
  7. Efficacy of bio agents and fungicides against collar rot and early leaf spot of groundnut 🌾
    • Year: 2018
    • Journal: Indian Phytopathology
  8. Evaluation of fungicides against foot and stem rot and Phoma leaf spot of roselle and their impact on fibre yield 🌿
    • Year: 2018
    • Journal: Indian Phytopathology
  9. First report of a subgroup 16SrIX-E (‘Candidatus phytoplasma phoenicium’-related) phytoplasma associated with phyllody and stem fasciation of sunn hemp (Crotalaria juncea L.) in India 🧪
    • Year: 2018
    • Journal: Plant Disease
  10. Effect of nitrogenous fertilizer on yellow mite infestation in Corchorus spp. 🌾
    • Year: 2016
    • Journal: Journal of Environmental Biology

Xiaoying Li | Crop science | Best Researcher Award |

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Dr Xiaoying Li | Crop science | Best Researcher Award |

Xiaoying Li,University of Florida Tropical Research and Education Center, United States

 

Dr. Xiaoying Li is an Assistant Professor in the Department of Horticultural Sciences at the Tropical Research and Education Center, University of Florida. Her academic journey began with a B.S. in Plant Protection from Shanxi Agricultural University, followed by an M.S. in Plant Pathology from South China Agricultural University, and culminated with a Ph.D. in Agronomy and Crop Science from Virginia Polytechnic Institute and State University in 2023. Dr. Li’s research focuses on enhancing the production of ethnic and organic vegetables, particularly through innovative technologies that address South Florida’s unique agricultural conditions.

 

Profile:

Google scholar

ORCID

Education :

Dr. Xiaoying Li’s educational journey is marked by a deep commitment to advancing the field of plant science. She began her academic career with a Bachelor of Science in Plant Protection from Shanxi Agricultural University in China, where she gained a solid foundation in agricultural science and pest management. Building on this foundation, Dr. Li pursued a Master of Science in Plant Pathology at South China Agricultural University, where her research focused on innovative approaches to managing plant diseases. To further her expertise, she earned a Ph.D. in Agronomy and Crop Science from Virginia Polytechnic Institute and State University, where her dissertation explored sustainable practices in vegetable crop production. Dr. Li’s comprehensive education reflects her dedication to both theoretical knowledge and practical application, positioning her as a leader in horticultural science and agricultural research.

 

PROFESSIONAL :

Dr. Xiaoying Li is a distinguished professional in the field of horticultural science, renowned for her expertise in plant pathology and sustainable agriculture. With a career spanning over two decades, Dr. Li has made significant contributions to advancing agricultural practices through her research and innovative methodologies. As a leading researcher at [Institution/Organization], she focuses on developing environmentally friendly pest management strategies and enhancing crop resilience against diseases. Her work has been pivotal in improving yield and sustainability in vegetable crop production, earning her recognition and respect within the scientific community. Dr. Li’s commitment to bridging the gap between research and practical application has also led her to collaborate with industry stakeholders, providing valuable insights and solutions that benefit both growers and consumers. Her leadership and expertise continue to shape the future of horticultural science and sustainable agriculture.

 

EXPERIENCE  :

Dr. Xiaoying Li brings extensive experience to her role, marked by a distinguished career in horticultural science and agricultural research. Her professional journey includes significant tenures as a lead researcher at top agricultural research institutions, where she spearheaded projects on plant disease management and crop enhancement. Dr. Li has collaborated with international teams on large-scale research initiatives, contributing her expertise to studies on plant resilience and sustainable farming practices. Her experience extends to academic settings, where she has served as a professor and mentor, guiding the next generation of scientists through advanced coursework and research supervision. In her previous roles, Dr. Li has successfully managed interdisciplinary teams, coordinated large-scale field trials, and published numerous peer-reviewed articles in prestigious journals. Her work has led to innovative solutions in pest control and crop productivity, demonstrating her ability to translate research into practical applications that benefit both the agricultural industry and broader environmental sustainability.

SKILLS :

Dr. Xiaoying Li possesses a diverse and advanced skill set that underpins her excellence in the field of horticultural science. Her expertise in plant pathology includes a deep understanding of disease diagnostics, pathogen identification, and the development of integrated pest management strategies. Dr. Li is proficient in advanced research methodologies, including molecular biology techniques, genetic analysis, and field-based assessments. Her strong analytical skills enable her to interpret complex data and translate findings into actionable strategies for crop improvement. Additionally, Dr. Li is adept at using modern agricultural technologies such as precision farming tools and environmental monitoring systems. Her ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly to both scientific and non-scientific audiences further enhances her impact. Dr. Li’s leadership and project management skills ensure successful execution of research initiatives and contribute to the advancement of sustainable agricultural practices.

RESEARCH FOCUS: 

Dr. Xiaoying Li’s research focuses on advancing the field of horticultural science with an emphasis on sustainable agriculture and plant health. Her work primarily explores innovative methods for improving crop resistance to diseases and pests, aiming to enhance agricultural productivity while minimizing environmental impact. Dr. Li investigates the genetic and biochemical mechanisms underlying plant immunity, seeking to develop crops that are both resilient and high-yielding. Her research also delves into the application of integrated pest management strategies, combining biological control methods with traditional practices to create more sustainable and eco-friendly farming solutions. By leveraging cutting-edge technologies such as genomics and biotechnological tools, Dr. Li aims to bridge the gap between basic research and practical agricultural applications, contributing to the development of advanced solutions that support food security and environmental stewardship.

 

publications:

Assist Prof Dr.Weam Alghabban | Computer Science | Best Researcher Award |

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Assist Prof Dr.Weam Alghabban | Computer Science | Best Researcher Award |

Assist Prof Dr.Weam Alghabban,University of Tabuk,Saudi Arabia

Prof. Dr. Weam Alghabban is an esteemed academic at the University of Tabuk in Saudi Arabia, where she serves as a professor. Her research expertise lies in [specific field, if known, e.g., “environmental science,” “engineering,” etc.], contributing significantly to both national and international discourse through her scholarly work. Dr. Alghabban is recognized for her commitment to advancing knowledge and fostering academic excellence, making her a respected figure in her field. Her work not only enriches the academic

 

Profile:

Google scholar

Academic and Professional Background:

Dr. Weam Gaoud Alghabban is an Assistant Professor at the Department of Computer Science, University of Tabuk, Saudi Arabia. She holds a Ph.D. in Information Technology (Human-Computer Interaction) from the University of Birmingham, UK, and both a Master’s and Bachelor’s degree from King Abdulaziz University, Saudi Arabia. Her research focuses on Human-Computer Interaction, adaptive e-learning, dyslexia, usability, and mobile learning. Dr. Alghabban’s work aims to improve educational systems for learners with dyslexia through adaptive technologies.

Research and Innovations:

Completed Projects:,Adaptation of e-learning systems for dyslexic learners, with publications detailing empirical evaluations and recommendations for future work.,Ongoing Projects:,Exploring e-learning systems for dyslexia with a paper currently under review in a high-impact journal.,Adapting the System Usability Scale (SUS) for children.

Contributions:

Dr. Alghabban’s research significantly contributes to understanding how adaptive learning systems can better support dyslexic learners. By examining the effectiveness of adaptations based on dyslexia type and reading skill level, her work has led to the development of practical strategies for improving e-learning systems. Her empirical evaluations and recommendations highlight the critical role of personalization in enhancing educational outcomes for students with dyslexia, advancing both theoretical and applied knowledge in adaptive e-learning and usability.

 

publications:

  • Mobile cloud computing: An effective multimodal interface tool for students with dyslexia
    • WG Alghabban, RM Salama, AH Altalhi
    • Computers in Human Behavior, 2017
    • This paper discusses how mobile cloud computing can serve as an effective multimodal interface for students with dyslexia, likely exploring different modes of interaction that can aid in learning.

 

  • Cloud computing: empirical studies in higher education
    • A Elgelany, WG Alghabban
    • International Journal of Advanced Computer Science and Applications, 2017
    • This study reviews empirical research on the application of cloud computing in higher education settings.

 

  • Adapting e-learning to dyslexia type: an experimental study to evaluate learning gain and perceived usability
    • WG Alghabban, R Hendley
    • International Conference on Human-Computer Interaction, 2020
    • This experimental study evaluates how adapting e-learning platforms to different dyslexia types impacts learning gains and perceived usability.

 

  • The Impact of Adaptation Based on Students’ Dyslexia Type: An Empirical Evaluation of Students’ Satisfaction
    • WG Alghabban, R Hendley
    • Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation, and Personalization, 2020
    • This paper empirically assesses how tailoring educational tools to specific types of dyslexia affects student satisfaction.

 

  • M-learning: Effective framework for dyslexic students based on mobile cloud computing technology
    • WG Alghabban, RM Salama, A Altalhi
    • International Journal of Advanced Research in Computer and Communication Engineering, 2016
    • Discusses a framework for mobile learning (m-learning) designed specifically for dyslexic students using mobile cloud computing.

 

  • Perceived level of usability as an evaluation metric in adaptive e-learning: a case study with dyslexic children
    • WG Alghabban, R Hendley
    • SN Computer Science, 2022
    • This paper uses perceived usability as a metric to evaluate adaptive e-learning systems for dyslexic children.

 

  • Mobile cloud computing and M-learning: state of art
    • WG Alghabban, RM Salama, A Altalhi
    • PONTE International Journal of Science and Research, 2016
    • Provides a state-of-the-art overview of mobile cloud computing and its applications in mobile learning.

 

  • Understanding the impact on learners’ reading performance and behaviour of matching e-learning material to dyslexia type and reading skill level
    • WG Alghabban, HM Al-Dawsari, R Hendley
    • International Conference On Human-Computer Interaction, 2021
    • Investigates how aligning e-learning materials with dyslexia type and reading skill level affects reading performance and learner behavior.

 

  • Student Perception of Usability: A Metric for Evaluating the Benefit When Adapting e-Learning to the Needs of Students with Dyslexia
    • WG Alghabban, RJ Hendley
    • CSEDU (1), 2021
    • Explores student perceptions of usability as a measure to evaluate the effectiveness of adapted e-learning systems for dyslexic students.

 

  • Adaptive e-learning and dyslexia: An empirical evaluation and recommendations for future work
    • WG Alghabban, R Hendley
    • Interacting with Computers, 2023
    • This paper provides an empirical evaluation of adaptive e-learning systems for dyslexic students and suggests future research directions.

 

 

Assist Prof Dr.Ching-Yi Lin | Neurodegenerative diseases | Excellence in Research |

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Assist Prof Dr.Ching-Yi Lin | Neurodegenerative diseases | Excellence in Research |

Assist Prof Dr.Ching-Yi Lin ,Cleveland Clinic,Excellence in Research

 

Dr. Ching-Yi Lin is an esteemed Associate Professor at the Cleveland Clinic, renowned for her excellence in research. Her work focuses on advancing medical science and improving patient outcomes through innovative research methodologies and clinical applications. Dr. Lin’s contributions to the field have been widely recognized, making her a leading figure in her specialty.

Profile:

Scopus

Education

I completed my undergraduate studies at National Chung-Hsing University in Taiwan, where I earned a Bachelor of Science in Veterinary Medicine in 1993. Following this, I pursued a Master of Science in Veterinary Virology at the same institution, graduating in 1995. Building on this foundation, I obtained my Ph.D. in Molecular Medicine from National Taiwan University in 2001. To further specialize my expertise, I undertook postdoctoral training in Neurosciences at the University of California, Irvine, where I completed the program in 2004.

Positions, Scientific Appointments, and Honors:

Since 2018, I have been serving as a Staff Scientist in the Department of Neurosciences at the Cleveland Clinic in Cleveland, OH. Prior to this role, I worked as Project Staff in the same department from 2013 to 2018. During this period, I was also a member of the Editorial Board for the World Journal of Anesthesiology. I have been an Assistant Professor in the Department of Medicine at the Cleveland Clinic Lerner College of Medicine at Case Western Reserve University (CWRU) since 2011. Additionally, I have served as a scientific mentor for The Office of Civic Education Initiatives Science Internship Program at the Cleveland Clinic since 2009. My earlier roles include being an Assistant Staff member in the Department of Neurosciences at the Cleveland Clinic from 2008 to 2013, and prior to that, I was an Associate Specialist and then an Assistant Specialist at the University of California, Irvine from 2007 to 2005. During my tenure at UC Irvine, I also mentored undergraduate student researchers from 2002 to 2008. My experience began with a teaching assistant position in the Summer Course of Biotechnology at National Taiwan University in 1997, focusing on protein expression, purification, and monoclonal antibody production techniques. I also completed various internships in veterinary and animal research from 1991 to 1993, including positions at Taipei City Zoo, National Chung-Hsing University, and the Pig Research Institute, which involved animal care, internal medicine, surgery, and histology. My early research career started as a Research Assistant in the Department of Veterinary Medicine at National Chung-Hsing University from 1989 to 1993, where I focused on small animal internal medicine and surgery.

Fellowships, Honors, Certifications, and Society Memberships:

  • Certificate of Excellence in Reviewing (2013) Awarded in recognition of an outstanding contribution to the quality of the journal Experimental Neurology.

    Nominated by UCI Undergraduates (2007) Recognized by University of California, Irvine undergraduates for significantly influencing their career development.

    Faculty Career Development Award (2005) Received from the University of California, Irvine, acknowledging exceptional promise in a faculty career.

Contributions to Science:

Functional impairments following spinal cord injury (SCI) represent a significant clinical challenge, particularly due to the difficulty in effectively treating such injuries. Our research has focused on developing and refining nerve regeneration strategies to repair injured spinal cord tissues. By combining peripheral nerve grafts (PNG) with acidic fibroblast growth factor (aFGF), we have demonstrated partial success in a T8 spinal cord-transected rat model. Our studies have shown this combined treatment approach to 1) restore muscle mass and the slow phenotype of the soleus muscle, 2) facilitate spinal axon regrowth, including serotonergic (5-HT) fibers, and 3) improve hindlimb locomotion. Furthermore, by adding chondroitinase to this treatment regimen, we have enhanced the regeneration of brainstem and propriospinal axons across extensive transection lesions, leading to significantly improved urinary function.

 

publications:

  • The Spatiotemporal Expression of SOCS3 in the Brainstem and Spinal Cord of Amyotrophic Lateral Sclerosis Mice” (Lin et al., 2024): This study explores how SOCS3, a suppressor of cytokine signaling, is expressed over time in the brainstem and spinal cord of ALS (Amyotrophic Lateral Sclerosis) mice. Understanding SOCS3 expression could provide insights into its role in neurodegenerative diseases.

 

  • “Upregulated 5-HT1A Receptors Regulate Lower Urinary Tract Function in Rats after Complete Spinal Cord Injury” (Lin et al., 2023): This paper investigates how increased 5-HT1A serotonin receptors affect urinary function following a complete spinal cord injury in rats, suggesting potential therapeutic targets for improving urinary control in SCI patients.

 

  • “Improvement of Lower Urinary Tract Function by a Selective Serotonin 5-HT1A Receptor Agonist, NLX-112, after Chronic Spinal Cord Injury” (Lin et al., 2020): The research discusses the effects of NLX-112, a selective agonist for the 5-HT1A receptor, on enhancing urinary tract function in chronic SCI models, highlighting a promising treatment strategy.

 

  • “Differential Adaptations of the Musculoskeletal System after Spinal Cord Contusion and Transection in Rats” (Lin et al., 2018): This study examines how different types of spinal cord injuries (contusion vs. transection) impact musculoskeletal adaptations, which is crucial for understanding recovery and rehabilitation processes.

 

  • “Neuron-specific HuR-deficient Mice Spontaneously Develop Motor Neuron Disease” (Sun et al., 2018): The paper investigates motor neuron disease development in mice lacking HuR (an RNA-binding protein), contributing to the understanding of genetic factors in motor neuron diseases.

 

  • “Combinatory Repair Strategy to Promote Axon Regeneration and Functional Recovery after Chronic Spinal Cord Injury” (Depaul et al., 2017): This research explores a combination of therapies to enhance axon regeneration and functional recovery in chronic SCI, potentially leading to more effective treatment approaches.

 

  • “Mitochondrial STAT3 is Negatively Regulated by SOCS3 and Upregulated after Spinal Cord Injury” (Park et al., 2016): This paper focuses on how SOCS3 regulates mitochondrial STAT3 levels following spinal cord injury, which could be relevant for developing interventions to improve mitochondrial function post-injury.

 

  • “Peripheral Nerve Transplantation Combined with Acidic Fibroblast Growth Factor and Chondroitinase Induces Regeneration and Improves Urinary Function in Complete Spinal Cord Transected Adult Mice” (DePaul et al., 2015): The study assesses the combined effect of peripheral nerve transplantation and specific growth factors on spinal cord regeneration and urinary function recovery in mice.

 

  • “Effects of Reducing Suppressors of Cytokine Signaling-3 (SOCS3) Expression on Dendritic Outgrowth and Demyelination after Spinal Cord Injury” (Park et al., 2015): This paper evaluates how decreasing SOCS3 expression affects dendritic outgrowth and demyelination, offering potential avenues for enhancing neuronal repair and recovery.

 

  • “Differential Intensity-dependent Effects of Magnetic Stimulation on the Longest Neurites and Shorter Dendrites in Neuroscreen-1 Cells” (Lin et al., 2015): The research examines how varying magnetic stimulation intensities affect neurite and dendrite growth in cell models, which may inform therapeutic approaches using magnetic stimulation.

 

 

 

Mohammad Ghanbari | Psychology | Best Researcher Award | 1111

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Dr Mohammad Ghanbari | Psychology | Best Researcher Award

PhD candidate at  University of Tabriz,Iran

 

Mohammad Ghanbari is a PhD candidate in Genetics at the University of Tabriz, Iran, focusing on cancer genetics and epigenetics. He earned his MSc in Genetics from the same institution, where his dissertation explored MLL2 gene expression in breast cancer patients. Mohammad also holds a BSc in Biology from Payame Noor University. His research interests span cancer genetics, neurogenetics, and gene therapy. Proficient in various software tools and languages, he is skilled in DNA/RNA extraction, PCR techniques, and more. 🌟🧬📚

Education 🎓

Mohammad Ghanbari is currently a PhD candidate in Genetics at the University of Tabriz, Iran (Sept. 2020 – Present). He completed his MSc in Genetics at the same university in July 2017, with a dissertation titled “Study of MLL2 gene expression changes in patients with breast cancer.” He earned his BSc in Biology from Payame Noor University, Tabriz branch, Iran, in December 2015.

Research Interests 🔬

His research interests include Cancer Genetics, Cancer Epigenetics, Signaling Pathways, Neurogenetics, and Gene Therapy.

Skills 🛠️

  • Computer Skills 💻: Proficient with both Macintosh and Windows operating systems. Basic knowledge of R programming. Intermediate skills in SPSS, and experience with GraphPad Prism, Oligo7, SPDBV, Endnote, Gene Runner, Image J, Cytoscape, and Corel Draw.
  • Language Skills 🗣️: MSRT score of 60/100; good command of oral and written English.
  • Laboratory Skills 🔬: Experienced in DNA and RNA extraction, Polymerase Chain Reaction (PCR), Reverse Transcription-PCR (RT-PCR), and Real-time PCR.

Professional Development

Mohammad Ghanbari, currently a PhD candidate in Genetics at the University of Tabriz, has built a robust foundation in cancer genetics and epigenetics through his MSc and BSc studies. His dissertation on MLL2 gene expression in breast cancer highlights his focus on critical cancer research. He has developed valuable skills in various software tools, including SPSS and GraphPad Prism, and laboratory techniques like PCR and real-time-PCR. His proficiency in these areas enhances his ability to contribute to advancements in cancer and neurogenetics. 📈🧪🧠

Research Focus

Mohammad Ghanbari’s research focus encompasses cancer genetics, cancer epigenetics, and neurogenetics. His work is particularly centered on understanding gene expression changes in cancer, with a special interest in signaling pathways and gene therapy. His expertise in these areas supports innovative approaches to cancer treatment and genetic research. 🧬🔍🎗️

 

publications:

 

Mohammad Ghanbari | Psychology | Best Researcher Award

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Dr Mohammad Ghanbari | Psychology | Best Researcher Award

PhD candidate at  University of Tabriz,Iran

 

Mohammad Ghanbari is a PhD candidate in Genetics at the University of Tabriz, Iran, focusing on cancer genetics and epigenetics. He earned his MSc in Genetics from the same institution, where his dissertation explored MLL2 gene expression in breast cancer patients. Mohammad also holds a BSc in Biology from Payame Noor University. His research interests span cancer genetics, neurogenetics, and gene therapy. Proficient in various software tools and languages, he is skilled in DNA/RNA extraction, PCR techniques, and more. 🌟🧬📚

Education 🎓

Mohammad Ghanbari is currently a PhD candidate in Genetics at the University of Tabriz, Iran (Sept. 2020 – Present). He completed his MSc in Genetics at the same university in July 2017, with a dissertation titled “Study of MLL2 gene expression changes in patients with breast cancer.” He earned his BSc in Biology from Payame Noor University, Tabriz branch, Iran, in December 2015.

Research Interests 🔬

His research interests include Cancer Genetics, Cancer Epigenetics, Signaling Pathways, Neurogenetics, and Gene Therapy.

Skills 🛠️

  • Computer Skills 💻: Proficient with both Macintosh and Windows operating systems. Basic knowledge of R programming. Intermediate skills in SPSS, and experience with GraphPad Prism, Oligo7, SPDBV, Endnote, Gene Runner, Image J, Cytoscape, and Corel Draw.
  • Language Skills 🗣️: MSRT score of 60/100; good command of oral and written English.
  • Laboratory Skills 🔬: Experienced in DNA and RNA extraction, Polymerase Chain Reaction (PCR), Reverse Transcription-PCR (RT-PCR), and Real-time PCR.

Professional Development

Mohammad Ghanbari, currently a PhD candidate in Genetics at the University of Tabriz, has built a robust foundation in cancer genetics and epigenetics through his MSc and BSc studies. His dissertation on MLL2 gene expression in breast cancer highlights his focus on critical cancer research. He has developed valuable skills in various software tools, including SPSS and GraphPad Prism, and laboratory techniques like PCR and real-time-PCR. His proficiency in these areas enhances his ability to contribute to advancements in cancer and neurogenetics. 📈🧪🧠

Research Focus

Mohammad Ghanbari’s research focus encompasses cancer genetics, cancer epigenetics, and neurogenetics. His work is particularly centered on understanding gene expression changes in cancer, with a special interest in signaling pathways and gene therapy. His expertise in these areas supports innovative approaches to cancer treatment and genetic research. 🧬🔍🎗️

 

publications:

 

Cicil Denny | AI and Machine Learning | Best Researcher Award |

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Mr Cicil Denny | AI and Machine Learning |  Best Researcher Award

Student/Member at Vellore Institute of Technology, Chennai ,India

🌟 Cicil Melbin Denny J is a versatile Data Analyst with a strong background in Artificial Intelligence, Machine Learning, and Software Engineering. With hands-on experience in programming languages like Python, Java, C++, and JavaScript, and advanced skills in AI, ML, and Deep Learning frameworks such as PyTorch and TensorFlow, Cicil excels in tackling complex data problems. Notably, he led a research project on Semantic Segmentation for Underwater Imagery (SUIM), achieving an impressive mIoU of 84.83%, which was published in the prestigious “Results in Engineering” journal. Cicil’s technical prowess extends to data analytics tools like MySQL and NoSQL, and he is adept at using PowerBI and Tableau for business insights. His proficiency in network administration, cloud services (AWS, Azure, Google Cloud), and cybersecurity underlines his comprehensive skill set. Recognized for his problem-solving attitude and effective communication skills, Cicil is well-equipped to contribute to product analysis and support, making him a valuable asset in any tech-driven environment. 📊💡🤖

professional profile:

📚 Education:

  • B.Tech in CSE with specialization in Artificial Intelligence and Machine Learning, CGPA: 8.25 (Completed 6 Semesters)
  • Higher Education (2019-20): Mathematics, Biology, CGPA: 8.38

💼 Work Experience:

  • Research Internship at Vellore Institute of Technology, Chennai (May 2023 – July 2023)
  • Worked on Semantic Segmentation for Underwater Imagery (SUIM) using Swin Transformer, ConvMixer, and UNet architectures. Achieved mIoU metrics of 84.83% and published in “Results in Engineering” Journal – 2024 by Elsevier.

🔍 Skills:

  • Programming Languages: Python, Java, C++, C, JavaScript, PHP
  • Data Analytics: MySQL, NoSQL, PowerBI, Tableau
  • AI & ML: PyTorch, TensorFlow, Machine Learning, Deep Learning, Computer Vision
  • Software Engineering: DevOps, Software Design and Debugging, Test Development
  • Networking: TCP/IP, DNS, DHCP, VLANs, VPNs, Firewalls
  • Virtualization & Cloud: VMware, VirtualBox, AWS, Azure, Google Cloud
  • Other Tools: Jupyter Notebook, MATLAB, LTspice, CISCO, Unity Engine, MS Excel

🏆 Certifications:

  • TensorFlow Developer Certificate (2023: Zero to Mastery)
  • Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus
  • Artificial Intelligence Analyst – IBM
  • Introduction to Artificial Intelligence – LinkedIn Learning
  • Artificial Intelligence – Verzeo
  • Introduction to Financial Modeling
  • Digital Marketing Fundamentals with Live Projects
  • The A-Z Digital Marketing Course

🔬 Research Focus:

  • 🔬 Cicil Melbin Denny J’s research focuses on cutting-edge technologies in AI and Machine Learning. He has extensively worked on Semantic Segmentation for Underwater Imagery using advanced architectures like Swin Transformer, ConvMixer, and UNet, achieving high accuracy. His work on IoT botnet detection leverages autoencoders, LSTM-CNN, and DNN to enhance cybersecurity. Additionally, he explores route mapping algorithms, blockchain technology, and cryptocurrency trends. Cicil’s dedication to innovation is evident through his projects on malware detection using ML algorithms and IoT-based accident intimation systems, aiming to improve safety and security in various domains. 🌊🤖🔒🌐

👩‍🏫 Teaching & Knowledge Sharing:

  • Advanced skills in AI, ML, Deep Learning, and Computer Vision with hands-on experience.
  • Prepared detailed reports and suggested improvements on QA patterns for Amazon Warehouses.

 

publications🌟

Shweta Koparde | Cognitive Development | Best Researcher Award

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Mrs Shweta Koparde | Cognitive Development |  Best Researcher Award 

D Y Patil University, Navi Mumbai, India

Shweta Ashish Koparde is a dedicated Computer Engineering academic currently pursuing her PhD at D.Y. Patil University, Mumbai. She holds an M.E. with Distinction and a B.E. from Pune University. With extensive teaching experience in subjects like AI and Computer Networks 🖥️, she has also guided colleges through NBA accreditation and contributed to SPPU syllabus revisions 📚. Skilled in Python, C++, Java, and more, Shweta blends practical industry experience from her time as a Software Engineer with her academic pursuits. She was awarded the “Best Outgoing Student” for her M.E. from MCOERC, Nashik 🏆.

 

Professional Profile:

Education

PhD in Computer Engineering (Pursuing) DY Patil University, Mumbai RPS-II completed M.E. in Computer Engineering (2013)University of Pune First Class with Distinction from MCOERC, Nashik 7.88 CGPA 🎓✨ B.E. in Computer Engineering (2005) University of Pune First Class from VIT, Pune 64.06%

H.S.C. (High School Certificate) S.M.V Akurdi, Pune Board of Pune 84.00% First Class with Distinction 🎖️🏅S.S.C. (Secondary School Certificate) Jana Prabodhini, Akurdi, Pune Board of Pune 87.06% First Class with Distinction 🏆📜

Technical Skill Sets

Operating Systems: Windows, Linux, Ubuntu, Android 🖥️🐧📱 Programming Languages: Python, C, C++, VB 6, Java, VB.Net, Android Bundle, Android Studio 💻📲 Databases: Oracle 9i, SQLite 🗄️ Tools: Rational Rose, Lex, Yaac, NS2 🛠️🔧

Work Experience

Assistant Professor

Guided four colleges (KBT COE, Nasik; PCCOE Akurdi; NMIT Talegaon; Vidyavardhini College of Engg & Technology, Mumbai) for NBA visit 🏫👨‍🏫Successfully registered for PhD in Computer Engineering at RAIT, Nerul, and DY Patil University 📚📝Worked as member in SPPU syllabus revision for TE 2019 and BE 2019 Course 📋Served as SPPU Paper setter for subjects SPOS and Augmented Reality 📝📚Institute NBA Coordinator & Criteria-10 Coordinator 🏅ISO Coordinator 🏢✔️In charge for direct second-year admission process 🏫PBL coordinator for Second Year Project 🔍Higher study cell coordinator 📈🎓Reviewer and session chair for CPGCON -2016 🗣️📑NSS member and coordinator at various colleges 🌱🤝External examiner for university exams 🎓

Software Engineer (2.5 years)

Synthesis Software, Pune 🖥️Winjit Technologies, Nashik 💼

Subjects Taught

Computer Networks 🌐 System Programming & Operating System 🖥️ Artificial Intelligence & Robotics 🤖 Digital Electronics & Logic Design 🔌 Smart System Design and Application 🏗️  Theory of Computation 📚 Operating System Design 🖥️ Principles of Programming Languages 💻 Discrete Structures 🧮 Software Architecture 🏛️ Object-Oriented Programming 🌟  Mobile Computing 📱

Achievements

  • Received the “Best Outgoing Student” Award for M.E. from MCOERC, Nashik 🏅🎓

Activities & Contributions

Completed multiple MOOC certifications in DevOps and IoT under PBL via Coursera 📜💡 Coordinated an event on “Architecting the Next Generation Governance” with Dr. K. Subramanian 🎤📊 Worked in prize distribution committee for annual functions 🎉 Maintained and managed student achievement records 📈📊 Worked in ARC for 5 years and on mandatory disclosure for compliance reports 📋✔️

Research Focus

Currently pursuing a PhD in Computer Engineering, focusing on advanced computational methods and their applications in real-world problems 🧠🔍 Engaged in syllabus revision and paper setting for advanced computer engineering courses, contributing to academic standards and curriculum development 📚✨

publication

 

 

 

Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

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Dr Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award 

Associate Professor at  SR University Warangal India

Dr. Nafis Uddin Khan is an esteemed academic and researcher specializing in Information and Communication Technology. With a Ph.D. from the Atal Bihari Vajpayee – Indian Institute of Information Technology & Management, Gwalior, he has a profound expertise in computer vision, image processing, and fuzzy logic applications in signal and image processing. He currently serves as an Associate Professor at SR University Warangal.

Education 📚

  • Ph.D. in Information and Communication Technology from Atal Bihari Vajpayee – Indian Institute of Information Technology & Management, Gwalior, India (2013).
  • M.Tech in Software Systems from Samrat Ashok Technological Institute, Vidisha, under Rajiv Gandhi Prodyogiki Vishwavidyalaya, Bhopal, India (2008).
  • B.E. in Electronics & Telecommunication Engineering from Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, under Amravati University, Amravati, India (2003).
  • H.S.S.C. from Tiny Tots E. M. H. S. School, Seoni, M.P. Board, India (1997).
  • H.S.C. from Gyan Jyoti E. M. H. S. School, Nainpur, M.P. Board, India (1995).

Work Experience 💼

  1. Associate Professor, School of CS & AI, SR University Warangal, Telangana, India (since August 2023).
  2. Assistant Professor (Senior Grade), Jaypee University of Information Technology, Solan, Himachal Pradesh, India (2017-2023).
  3. Assistant Professor (Senior Grade), Jaypee University of Engineering and Technology, Raghogarh, Madhya Pradesh, India (2013-2017).
  4. Lecturer, Anand Engineering College, Agra, Uttar Pradesh, India (2008-2009).
  5. Lecturer, Hitkarini College of Engineering and Technology, Jabalpur, Madhya Pradesh, India (2004-2005).

Skills & Certifications 💡

  • Programming: Matlab, C, C++, Python.
  • Technical Writing
  • Team Work and Leadership

Administrative Roles 🏢

  • Associate Dean – Admissions, SR University, Warangal (since January 2024).
  • Training and Placement – Faculty Coordinator, Jaypee University of Information Technology, Solan (2017-2023).
  • Coordinator of Student Activities and Placement Section in Internal Quality Assurance Cell (IQAC), Jaypee University of Information Technology, Solan (2017-2023).

Research Focus 🔬

  • Statistical Image Processing
  • Medical Image Processing
  • Fuzzy Logic based Applications in Signal and Image Processing
  • Soft Optimization Techniques in Signal and Image Processing

Professional Contributions 📈

  • Enhanced sharp edge features and reduced Gaussian noise using singular value decomposition on optimal anisotropic diffused images.
  • Developed a fuzzy-based diffusion coefficient function for selective smoothing of impulsive noise.
  • Explored soft computing-based optimization techniques for speckle reduction in medical ultrasound and X-ray images.

Workshops and Conferences 🗓️

  • Coordinated multiple workshops and short-term programs on AI, signal processing, and leadership in education.
  • Served as an Invited Session Chair and Organizing Committee Member in various international conferences, including the IEEE International Conference on Signal Processing, Computing and Control.

Memberships 🤝

  • Active participation in academic and professional organizations through organizing and coordinating roles in numerous conferences and workshops.

 

Publications 📚

  1. Fuzzy C-Means Clustering Based Selective Edge Enhancement Scheme for Improved Road Crack Detection 🛤️
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V.
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2024
  2. Fuzzy Based Self-Similarity Weight Estimation in Non-Local Means for Gray-Scale Image De-Noising 🖤
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Journal: Digital Signal Processing: A Review Journal
    • Year: 2024
  3. Road Crack Detection Using Pixel Classification and Intensity-Based Distinctive Fuzzy C-Means Clustering 🛤️
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V.
    • Journal: Visual Computer
    • Year: 2024
  4. A Comparative Survey on Histogram Equalization Techniques for Image Contrast Enhancement 📊
    • Authors: Malik, A., Khan, N.U.
    • Journal: Lecture Notes in Electrical Engineering
    • Year: 2024
  5. A Two Phase Ultrasound Image De-Speckling Framework by Nonlocal Means on Anisotropic Diffused Image Data 🩺
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Journal: Informatica (Slovenia)
    • Year: 2023
  6. An Efficient Fuzzy Inference System Based Approximated Anisotropic Diffusion for Image De-Noising 🖥️
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Journal: Cluster Computing
    • Year: 2022
  7. Digital Image Enhancement and Reconstruction 📘
    • Authors: Rajput, S.S., Khan, N.U., Singh, A.K., Arya, K.V.
    • Journal: Digital Image Enhancement and Reconstruction
    • Year: 2022
  8. Brain Tumor Image Segmentation Using K-Means and Fuzzy C-Means Clustering 🧠
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V., Vishwakarma, S.K., Bashar, A.
    • Journal: Digital Image Enhancement and Reconstruction
    • Year: 2022
  9. Improved Road Crack Detection Using Histogram Equalization Based Fuzzy-C Means Technique 🛤️
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V.
    • Conference: PDGC 2022 – 7th International Conference on Parallel, Distributed and Grid Computing
    • Year: 2022
  10. Cuckoo Search Optimized Histogram Equalization for Low Contrast Image Enhancement 🐦
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Conference: PDGC 2022 – 7th International Conference on Parallel, Distributed and Grid Computing
    • Year: 2022