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

Published on by Cognitive Scientist Awards

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:

 

Lianyan Huang | Neuroscience | Best Researcher Award

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 Prof Lianyan Huang | Neuroscience | Best Researcher Award

professor / Ph.D. advisor at Sun-yat sen university Guangzhou, China

Dr. Lianyan Huang is a professor at Zhongshan School of Medicine, Sun Yat-sen University, with expertise in neuroscience. She completed her postdoctoral training at NYU and has received numerous honors, including the Guangdong Provincial Award. Her research focuses on neural coding mechanisms and neurological disorders, with key findings published in top journals. 🧠📚🏆

professional profile :

Awards and Honors

10th SCBA Meeting Scholarship (2004) 🏅Excellent Postgraduate Scholarships of Guangdong Province (2006, 2009) 🎓Academician Scholarship of Southern Medical University (2006) 🏆Guangdong Provincial Award for Outstanding Young and Middle-Aged Clinical Medical Teachers (2023) 🏆

Professional Work Experience

Professor and Ph.D. Advisor, Zhongshan School of Medicine, Sun Yat-sen University (2017-present) 👩‍🏫Postdoctoral Fellow, NYU School of Medicine (2012-2017) 🧠Faculty and Lecturer, Southern Medical University (2008-2011) 👩‍🏫Graduate Research Assistant, The First Military Medical University (2003-2006) 👩‍🔬

Skills

Neuroscience Research 🧠Clinical Medicine 🩺Cell Biology 🔬Teaching and Advising 🎓Leadership in Professional Committees 👩‍🏫

Other Experience and Professional Memberships

  • 2006-present: Member, Society for Neuroscience of China 🧠🔬

publication:

Pain experience reduces social avoidance to others in pain: a c-Fos-based functional connectivity network study in mice

📅 2024 📰 Cerebral Cortex 🧠

Authors: Li, J., Qin, Y., Zhong, Z., Huang, L., Li, B.

Sexually dimorphic control of affective state processing and empathic behaviors

📅 2024 📰 Neuron 🧠

Authors: Fang, S., Luo, Z., Wei, Z., Huang, L., Li, B.

An insular cortical circuit required for itch sensation and aversion

📅 2024 📰 Current Biology 🧬

Authors: Zheng, J., Zhang, X.M., Tang, W., Huang, L., Li, B.

EF1α-associated protein complexes affect dendritic spine plasticity by regulating microglial phagocytosis in Fmr1 knock-out mice

📅 2024 📰 Molecular Psychiatry 🧠

Authors: Su, P., Yan, S., Chen, K., Yang, G., Liu, F.

Differences in the neural basis and transcriptomic patterns in acute and persistent pain-related anxiety-like behaviors

📅 2023 📰 Frontiers in Molecular Neuroscience 🧬

Authors: Fang, S., Qin, Y., Yang, S., Li, B., Huang, L.

Distinct behavioral traits and associated brain regions in mouse models for obsessive–compulsive disorder

📅 2021 📰 Behavioral and Brain Functions 🧠

Authors: Chen, X., Yue, J., Luo, Y., Li, B., Wen, S.

Enriched Environment Prevents Surgery-Induced Persistent Neural Inhibition and Cognitive Dysfunction

📅 2021 📰 Frontiers in Aging Neuroscience 🧬

Authors: Yang, S., Zhang, S., Tang, W., Huang, L., Li, B.

BDNF produced by cerebral microglia promotes cortical plasticity and pain hypersensitivity after peripheral nerve injury

📅 2021 📰 PLoS Biology 🔬

Authors: Huangi, L., Jin, J., Chen, K., Gan, W.-B., Yang, G.

Learning-dependent dendritic spine plasticity is impaired in spontaneous autoimmune encephalomyelitis

📅 2021 📰 Developmental Neurobiology 🧠

Authors: Huang, L., Lafaille, J.J., Yang, G.

Learning-Dependent Dendritic Spine Plasticity Is Reduced in the Aged Mouse Cortex

📅 2020 📰 Frontiers in Neural Circuits 🧬

Authors: Huang, L., Zhou, H., Chen, K., Chen, X., Yang, G.

 

 

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🌟

Lisi Liang | Translation Studies | Best Researcher Award

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Assist Prof Dr. Lisi Liang | Translation Studies | Best Researcher Award

Assist Prof Dr. Lisi Liang ,Guangdong University of Foreign Studies,China

 

Assistant Professor Dr. Lisi Liang is a faculty member at Guangdong University of Foreign Studies in China. Her academic expertise includes,and she is involved inDr. Liang is recognized for her contributions tond she plays an active role in academic committees,

Professional Profile:

 

Education

🎓 Doctor of Philosophy in Film and Media Translation Institution: Cardiff University 🎥 Duration: October 2013 – June 2018 ⏳ Scholarship: Full Scholarship under Guangzhou’s “Elite Program” 🎓🏅 Note: Member of the Russell Group 🌟

🎓 Master of Arts in English-Chinese Translation Institution: Guangdong University of Foreign Studies 🇨🇳 Duration: September 2011 – July 2013 ⏳

🎓 Bachelor of Arts in Interpreting and Translation Institution: Guangzhou College of Commerce 📚 Duration: September 2007 – July 2011 ⏳

Work Experience:

📅 Since November 2023, I have been serving as a Youth Scholar at the School of Advanced Translation, Guangdong University of Foreign Studies, focusing on cross-linguistic and cultural communication in Chinese-English audiovisual translation. From May 2020 to October 2023, I worked as a Postdoctoral Research Fellow at the International School of Translation, Sun Yat-sen University. My research centered on integrating artificial intelligence technology in translation education, aiming to combine technology and human translation to optimize translation courses. During this period, I taught courses such as “Multimedia Translation” and “Translation Technology and Management.” 📚

📅 Earlier, from January 2020 to April 2020, I was an Interpreter Lecturer at the Department of English, Xi’an Jiaotong-Liverpool University, where I taught undergraduate courses in “Consecutive Interpreting” and “Simultaneous Interpreting.” Prior to that, from January 2019 to January 2020, I served as a Lecturer in Translation and Interpreting at the Department of Translation, University of Leicester, UK. I taught various courses, including “Translation Theory,” “Translation Project Management,” “Consecutive Interpreting,” “Advanced English Text Analysis” for undergraduates, and “Translation Practice,” “Simultaneous Interpreting,” and “Research Methods and Thesis Writing” for Master’s students. 🌍

📅 Since June 2018, I have been a Teaching Assistant in English-Chinese Translation and a Master’s Thesis Supervisor at the Department of Translation, Cardiff University, UK. Here, I have taught courses such as “Introduction to Interpreting,” “Public Service Interpreting,” “Subtitle Translation,” “Business Translation,” and “Medical Translation” for Master’s students, and “Introduction to Chinese” for undergraduates. Additionally, since September 2018, I have been a Researcher and Teaching Assistant for the course “Working with Translation: Theory and Practice” on the Massive Open Online Course (MOOC) platform. 🎓

📅 From September 2016 to September 2018, I was a Language Mentor and Foreign Language Ambassador for the Routes into Languages and Modern Foreign Language Student Mentoring Scheme funded by the Arts and Humanities Research Council (AHRC) in Wales. This role involved mentoring students and promoting foreign language learning. 🌐👩‍🏫💬

Research Experience/Projects

📅 2023:

  • 📚 Editorial Board Member for Journal of Audiovisual Translation.
  • 🎬 Expert Member of the Film Translation Committee, China Translators Association.
  • 📖 Invited by Routledge to write the first academic monograph on Danmu Subtitling and Media Participation, to be published by the end of 2024.
  • 🌐 Principal Investigator for the Guangdong Province 2022 Teaching Quality and Reform Project, “Exploring the Implementation Path of Digital Governance and Evaluation in Higher Education: Empowering the ‘Translation Technology and Management’ Course with Multi-Dimensional Interactive Danmu Technology,” currently concluding.
  • 🎙️ Invited as a keynote speaker at the Third International Forum on New Media Translation Studies, hosted by Huazhong Agricultural University.

📅 2024:

  • 🌍 Organizing an international audiovisual translation academic conference, with Professor Jorge Díaz Cintas from University College London (UK) confirmed as a keynote speaker.

📅 2022:

  • 📜 Principal Investigator for the Guangzhou City Philosophy and Social Science Development “14th Five-Year Plan” Project, “Research on Guangzhou’s National-Level International Communication Innovation Research Base: Implications for Guangzhou’s Local Film Translation from the Perspective of Contemporary Chinese Mainstream Film Translation,” currently concluding.
  • 📚 Invited as a reviewer for top translation journals Target and Linguistica Antverpiensia, New Series – Themes in Translation Studies, and as a reviewer for Critical Arts and Humanities and Social Sciences.
  • 🎓 Principal Investigator for Sun Yat-sen University’s Teaching Quality and Reform Project, “Reforming the Teaching Model of ‘Translation Technology and Management’ Based on Corpus and Innovative Practices in the New Liberal Arts Context.”
  • 🎤 Invited speaker at the second academic lecture of the Translation Academic Society at Sun Yat-sen University, titled “Analysis and Recognition of Online Emotions in Social Media.”

📅 2021:

  • 🌐 Principal Investigator for the Guangdong University of Foreign Studies Translation Research Center Project, “The Impact of New Media Translation Norms and Innovations on International Communication,” completed.
  • 🏥 Contributor to the National Social Science Fund Annual Project, “Addressing the Talent Gap in Medical Language Services for Building a Human Health Community,” responsible for multimodal translation theory research, media translation research, and medical interpreting corpus development.

📅 2020-2022:

  • 🎥 Responsible for the Audiovisual Translation Module of the Youth Teacher Team under Sun Yat-sen University’s Basic Research Business Fee.

📅 2020:

  • 🌐 Project Executive for the website translation project between Sun Yat-sen University International School of Translation and South China Sea Marine Science and Engineering Guangdong Laboratory (Zhuhai).
  • 📄 Peer Reviewer for Transletters International Journal of Translation and Interpreting.

📅 2019:

  • 📚 Lecturer for the “Subtitle Translation Localization” module at the Summer Translation Workshop, School of Advanced Translation, Guangdong University of Foreign Studies.
  • 📄 Peer Reviewer for Intradisciplinary Journal of Interpreting and Translation Studies.
  • 🌏 Researcher on the EU-China Translational Project “The Contribution of Translation to the One Belt One Road Initiative.”

📅 2018:

  • 🌐 Research Assistant in the Global Translation Project “Research on the Internationalization of Chinese Culture.”

Teaching Experience

📅 November 2023 – Present: Youth Scholar at Guangdong University of Foreign Studies 📅 May 2020 – October 2023: Postdoctoral Research Fellow at Sun Yat-sen University📅 January 2020 – April 2020: Interpreter Lecturer at Xi’an Jiaotong-Liverpool University  📅 January 2019 – January 2020: Lecturer in Translation and Interpreting at University of Leicester, UK📅 June 2018 – Present: Teaching Assistant at Cardiff University, UK 📅 September 2018 – Present: Researcher and Teaching Assistant for MOOCs 📅 September 2016 – September 2018: Language Mentor and Foreign Language Ambassador

Publications: 

Shweta Koparde | Cognitive Development | Best Researcher Award

Published on by Cognitive Scientist Awards

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

 

 

 

Achilleia-Maria Pavlou | Medicine and Dentistry | Best Researcher Award

Published on by Cognitive Scientist Awards

 Dr. Achilleia-Maria Pavlou | Medicine and Dentistry | Best Researcher Award

 Dr.Achilleia-Maria Pavlou,School of Dentistry, Aristotle University of Thessaloniki, Greece,Greece

 

Dr. Achilleia-Maria Pavlou is a distinguished academic at the School of Dentistry, Aristotle University of Thessaloniki, Greece. With a focus on advancing dental science and clinical practices, she has made significant contributions to her field through research, teaching, and professional development. Her expertise and commitment to dentistry are reflected in her ongoing efforts to improve patient care and educational outcomes within the dental community.

Professional Profile:

Academic and Professional Background:

I hold a DDS, MD, and MSc degrees, with a postgraduate thesis on the “Isolation and characterization of stem cells from minor salivary glands of the oral mucosa and their differentiation into insulin-producing pancreatic cells.” Currently, I am pursuing a PhD focusing on the molecular pathways of pancreatic differentiation in minor salivary gland stem cells. My academic journey includes a two-year residency in pathology and plans for a four-year residency in rheumatology.

Research and Innovations:

  • Daylight Photodynamic Therapy: Successfully completed a project exploring its efficacy in treating actinic cheilitis.
  • Pancreatic Differentiation: Ongoing research on the potential of minor salivary gland stem cells to differentiate into insulin-producing pancreatic cells.

Areas of Research:

  • Photodynamic therapy
  • Daylight photodynamic therapy
  • Actinic cheilitis
  • Human minor salivary gland stem cells
  • Pancreatic differentiation

Contributions:

  • My research has demonstrated that daylight photodynamic therapy can serve as a primary treatment for actinic cheilitis with grade I dysplasia, showing complete clinical response with minimal adverse effects. Additionally, my work has established the potential of minor salivary gland stem cells for pancreatic differentiation, which could advance diabetes mellitus treatments.

Publications: 

  • Andreadis D, Pavlou AM, Sotiriou E, Vrani F, Ioannides D, Kolokotronis A. “Utility of photodynamic therapy for the management of oral potentially malignant disorders and oral cancer.” Translational Research in Oral Oncology, 2016; 1: 1–19. DOI

 

  • Matiakis A, Karakostas P, Pavlou AM, Anagnostou E, Poulopoulos A. “Angioleiomyoma of the oral cavity: a case report and brief review of the literature.” J Korean Assoc Oral Maxillofac Surg., 2018; 44(3): 136-139. DOI

 

  • Andreadis D, Pavlou AM, Vakirlis E, Anagnostou E, Vrani F, Poulopoulos A, Kolokotronis A, Ioannidis D, Sotiriou E. “Daylight photodynamic therapy for the management of actinic cheilitis.” Arch Dermatol Res., 2020; 312(10): 731-737. DOI

 

  • Andreadis D, Pavlou AM, Vakirlis E, Anagnostou E, Vrani F, Poulopoulos A, Kolokotronis A, Ioannidis D, Sotiriou E. “Actinic cheilitis may resemble oral lichenoid-type lesions or discoid lupus erythematosus.” Arch Dermatol Res., 2021; 313(10): 891-892. DOI

 

  • Pavlou AM, Papachristou E, Bonovolias I, Anagnostou E, Anastasiadou P, Poulopoulos A, Bakopoulou A, Andreadis D. “Pancreatic Differentiation of Oral Minor Salivary Gland Stem Cells.” Stem Cell Rev Rep., 2024. DOI

 

 

Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

Published on by Cognitive Scientist Awards

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