Diksha Kumar | Deep learning | Women Researcher Award

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Mrs. Diksha Kumar | Deep learning | Women Researcher Award

Ramrao Adik Institute of Technology (RAIT) | India

Publication Profile

Scopus
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BIOGRAPHY OF Mrs. Diksha Kumar 🌱📚

INTRODUCTION 🌍

Diksha Kumar is an accomplished research scholar with over 10 years of experience in higher education, currently pursuing her PhD in Computer Engineering at Ramrao Adik Institute of Technology (RAIT), India. Specializing in machine learning, deep learning, and generative AI, she has made significant strides in both research and innovation. She has secured funding for her research through a grant from Mumbai University, India, and holds a patent for an innovative aquatic animal-friendly ocean cleaning system. Through her research endeavors, Diksha has consistently pushed the boundaries of technology to contribute to a cleaner, smarter world. 🌍🔬

EARLY ACADEMIC PURSUITS 🎓

Diksha Kumar’s academic journey began with her intense passion for computer science and technology. As a student, she exhibited a deep curiosity and enthusiasm for computational methods and their real-world applications. Pursuing her undergraduate and master’s degrees, Diksha excelled in every academic pursuit, solidifying her foundation in computer engineering. Her rigorous academic training at Ramrao Adik Institute of Technology (RAIT) laid the groundwork for her current doctoral research, enabling her to delve into cutting-edge areas such as deep learning and machine learning.

PROFESSIONAL ENDEAVORS 👩‍💼

her professional career, Diksha Kumar has worked across various dimensions of academia and research. As a Research Scholar at RAIT, she has engaged in multiple industry-linked research projects. Her pioneering work in image classification and processing has garnered her attention in international academic circles. She has secured prestigious research grants and has become a member of the IEEE, further bolstering her professional credibility. Her practical contributions in the fields of AI and remote sensing have not only garnered attention but are making impactful changes in technology and environmental sustainability.

CONTRIBUTIONS AND RESEARCH FOCUS  ON  Deep learning 🔬

Diksha’s research work is marked by several innovative contributions to deep learning and AI. Her work on adapting Attention U-Net for image classification and combining it with XGBoost to enhance classification accuracy stands out. Additionally, she developed a hybrid model fusing VGG19 with XGBoost for improved image analysis. Moreover, her current focus on a novel cloud removal technique combining Homomorphic Filtering and Gamma Correction holds promise for enhancing image processing techniques. These contributions demonstrate her skill in addressing complex challenges in AI and image processing.

IMPACT AND INFLUENCE 🌟

Diksha Kumar’s research has had a substantial impact on both academia and industry. Her work, which fuses theoretical AI techniques with real-world applications, is paving the way for further advancements in image classification, remote sensing, and environmental protection. The patented aquatic animal-friendly ocean cleaning system showcases her commitment to using technology for environmental conservation, setting an example for researchers seeking to combine innovation with sustainability. Her pioneering work continues to inspire others in the research community and has led to significant strides in the application of deep learning to environmental issues.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Diksha Kumar has earned recognition through her impressive academic citations, reflecting the importance and relevance of her work. With a citation index of 19 and multiple publications in SCI and Scopus-indexed journals, her contributions to image processing, machine learning, and deep learning are well-regarded. Her academic output includes four journal articles, highlighting her prolific and impactful research work. Each publication has been a step forward in the development of AI-driven solutions that address both scientific and practical problems.

HONORS & AWARDS 🏆

Diksha’s commitment to excellence has earned her several accolades and recognitions in her field. Notably, she has been awarded a research grant from Mumbai University, which enabled her to pursue her innovative projects. Additionally, her research achievements are acknowledged through her patent for the aquatic animal-friendly ocean cleaning system. As she continues to make strides in her field, Diksha is a strong contender for the Women Researcher Award, which would recognize her outstanding contributions to research and technology.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Diksha Kumar’s legacy is being shaped by her relentless pursuit of excellence in research and her dedication to the practical applications of AI and deep learning. With future projects focused on advancing image processing techniques and addressing environmental issues, Diksha is positioning herself as a leader in these fields. Her future contributions will not only advance the frontiers of AI but also have a direct and positive impact on society, ensuring that her work continues to inspire and influence the next generation of researchers.

FINAL NOTE ✨

Diksha Kumar is a dynamic researcher whose work in AI, deep learning, and image classification is leaving a lasting impact on the academic and scientific communities. Her innovative solutions and commitment to using technology for the betterment of the environment showcase her ability to combine technical expertise with real-world challenges. As she moves forward with her PhD and her current research projects, Diksha’s work promises to make an even greater impact in the years to come.

TOP NOTES PUBLICATIONS 📚

AUXG: Deep Feature Extraction and Classification of Remote Sensing Image Scene Using Attention Unet and XGBoost
  • Authors: D.G. Kumar, Diksha Gautam, S.Z. Chaudhari, Sangita Zope
  • Journal: Journal of the Indian Society of Remote Sensing
  • Year: 2024

Snehal Laddha | Medical Image Analysis | Best Researcher Award

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Prof. Snehal Laddha | Medical Image Analysis | Best Researcher Award

University of Bradford | United Kingdom

Publication Profile

Google Scholar

INTRODUCTION 🌟

Ms. Snehal Laddha is a highly accomplished and dynamic educator and professional, with an extensive background in Electronics and Computer Science, specializing in AI, Data Analysis, and Deep Learning. With over 16 years of experience in the academic field, she has significantly contributed to student engagement, research innovation, and global academic exposure through teaching roles in India, Australia, and the UK.

EARLY ACADEMIC PURSUITS 📚

Snehal’s academic journey began with a keen interest in electronics and computer science. She completed her formal education, setting the foundation for her research in emerging fields such as Artificial Intelligence (AI) and data analysis. Her academic pursuit took her across various top institutions, where she honed her skills in programming, image analysis, and deep learning, fueling her desire to make a significant impact on both the academic and technological landscapes.

PROFESSIONAL ENDEAVORS 👩‍🏫

Snehal’s career includes prestigious teaching roles such as Assistant Professor at Ramdeobaba University, H.V.P.M.C.O.E.T., and S.R.K.N.E.C. in India, as well as a Teaching Tutor position at the University of Technology, Sydney, Australia. She has also demonstrated remarkable versatility, contributing in non-teaching roles such as Customer Service at Sydney CBD METCENTER, where she gained invaluable international exposure and insights into multicultural education systems.

CONTRIBUTIONS AND RESEARCH FOCUS  ON MEDICAL IMAGE ANALYSIS💡

A passionate researcher, Snehal’s work primarily revolves around AI, computer vision, and Internet of Things (IoT) applications. Her efforts in data analysis, deep learning, and image analysis have led to several publications in both national and international journals. Her most notable invention is the IoT-powered smart trash bin (patent granted in 2024). She is deeply committed to improving academic practices by leading initiatives to organize Faculty Development Programs (FDPs) and research projects sponsored by AICTE.

IMPACT AND INFLUENCE 🌍

Snehal’s global exposure and significant contributions in both teaching and research have shaped the careers of many students and academics. She consistently fosters innovation, critical thinking, and leadership in her students by incorporating advanced technologies into the curriculum. Through her work, she has become a vital figure in the academic community, nurturing the next generation of scientists and engineers.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

Snehal has published numerous papers in international and national journals, covering a wide range of topics, from embedded systems to AI applications. Her citations reflect her deep expertise and recognition in the academic community. She remains dedicated to advancing her field and continues to contribute valuable insights through her research endeavors.

HONORS & AWARDS 🏆

Ms. Snehal Laddha has been recognized for her exceptional academic and professional contributions with multiple prestigious honors:

  • Australian Qualified Professional Engineer certification by Engineers Australia
  • Best Paper Award at Cardiff Metropolitan University, UK
  • Grants for organizing Faculty Development Programs and SPICES from AICTE
  • IELTS Score of 6.5/10 from the British Council

These awards reflect her dedication to excellence in both teaching and research, cementing her as a leader in her field.

LEGACY AND FUTURE CONTRIBUTIONS 🌱

Looking forward, Snehal plans to continue her research and academic endeavors, focusing on the evolution of AI and its practical applications in various industries. She is determined to contribute to the development of innovative solutions that can address societal challenges, particularly through IoT, deep learning, and image processing.

FINAL NOTE ✨

Ms. Snehal Laddha’s career is a testament to her unwavering commitment to education, research excellence, and global academic collaboration. With a rich background spanning teaching, research, and innovative solutions, she continues to inspire and lead in the realm of AI and data science, ensuring her legacy as an influential figure in the academic and technological spheres.

TOP NOTES PUBLICATIONS 📚

Liver Segmentation from MR T1 In-Phase and Out-Phase Fused Images Using U-Net and Its Modified Variants
    • Authors: SVL Siddhi Chourasia, Rhugved Bhojane
    • Journal: Intelligent Systems. ICMIB 2024. Lecture Notes in Networks and Systems
    • Year: 2025
Deep-Dixon: Deep-Learning frameworks for fusion of MR T1 images for fat and water extraction
    • Authors: SV Laddha, RS Ochawar, K Gandhi, YD Zhang
    • Journal: Multimedia Tools and Applications
    • Year: 2024
Addressing Class Imbalance in Diabetic Retinopathy Segmentation: A Weighted Ensemble Approach with U-Net, U-Net++, and DuckNet
    • Authors: E Gawate, S Laddha
    • Journal: International Conference on Intelligent Systems for Cybersecurity (ISCS)
    • Year: 2024
A Novel Method of Enhancing Skin Lesion Diagnosis Using Attention Mechanisms and Weakly-Supervised Learning
    • Author: SV Laddha
    • Journal: World Conference on Artificial Intelligence: Advances and Applications
    • Year: 2024
Automated Liver Segmentation in MR T1 In-Phase Images Transfer Learning Technique
    • Authors: SV Laddha, AH Harkare
    • Journal: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024
Automated Segmentation of Liver from Dixon MRI Water-Only Images Using Unet, ResUnet, and Attention-Unet Models
    • Authors: E Gawate, SV Laddha, RS Ochawar
    • Journal: Information System Design: AI and ML Applications: Proceedings of Eighth International Conference on Information System Design
    • Year: 2024

Yuwei Ma | managment | Best Researcher Award

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Mrs. Yuwei Ma | managment | Best Researcher Award

Changchun University Of Finance And Economics, China

👨‍🎓Professional Profile

🧑‍🏫Summary

Dr. Yuwei Ma is an accomplished academic and researcher, specializing in management, big data analysis, and cross-cultural studies. With a Doctorate in Management from Gachon University (2022) and a Master’s degree in Foreign Language and Literature from Rikkyo University (2014), she has made significant contributions to both research and education. She is currently involved in foreign language teaching and has published numerous high-level papers while leading several provincial research projects.

🎓 Education

Dr. Ma earned her Doctorate in Management from Gachon University in South Korea (2022). Prior to that, she completed a Master’s in Foreign Language and Literature from Rikkyo University in Japan (2014), setting a strong foundation for her cross-cultural research and teaching endeavors.

💼 Professional Experience

Since 2014, Dr. Ma has been actively involved in foreign language teaching at Changchun University of Finance and Economics. In addition to her teaching role, she has contributed to several provincial research projects and published high-level papers, demonstrating her commitment to advancing academic knowledge in her field.

📚 Academic Citations

Dr. Ma has been widely published in prestigious academic journals, including ACM Transactions on Asian and Low-Resource Language Information Processing, with citations in SCI and EI databases, highlighting the impact and relevance of her research in the academic community.

🔧 Technical Skills

Her technical expertise includes big data analysis and the simulation and implementation of intelligent networking technology systems in big data environments, positioning her as a forward-thinking scholar in these domains.

👩‍🏫 Teaching Experience

Dr. Ma has been teaching foreign languages at the university level for nearly a decade, fostering academic growth among students at Changchun University of Finance and Economics.

🔍 Research Interests

Her primary research interests lie in management, big data analytics, and the comparison of Chinese and foreign cultures, which she explores through both theoretical and practical lenses.

📖Top Noted Publication

Methods of Improving Japanese-Chinese Machine Translation System through Machine Learning and Human-Computer Interaction

Authors: Yuwei Ma, Yu Qian

Journal: ACM Transactions on Asian and Low-Resource Language Information Processing

Year: 2023

Razia Sulthana Abdul Kareem – building customised new deep learning algorithms – Best Researcher Award 

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Dr Razia Sulthana Abdul Kareem - building customised new deep learning algorithms - Best Researcher Award 

University of Greenwich - United Kingdom 

Author Profile

Early Academic Pursuits

Dr. Razia Sulthana Abdul Kareem embarked on her academic journey with a Bachelor of Technology in Information Technology, where she showcased exemplary prowess by earning the title of GOLD MEDALIST. She further fortified her academic credentials with a Master of Engineering in Computer Science and Engineering, once again securing the prestigious GOLD MEDALIST accolade. Her pursuit of knowledge didn't stop there; she pursued an MBA in Systems, underscoring her interdisciplinary approach to technology. Driven by a passion for research, she culminated her academic endeavors with a Doctorate in Computer Science and Engineering.

Professional Endeavors

Dr. Razia's professional trajectory spans over 11 years, primarily devoted to imparting knowledge as a Senior Lecturer in Computer Science. She has a knack for delivering interdisciplinary courses tailored for undergraduate and postgraduate students. Her academic stints extend across geographies, including India, Dubai, and the UK, reflecting her global academic footprint.

Contributions and Research Focus

Specializing in Machine Learning and Deep Learning algorithms, Dr. Razia's research endeavors resonate with contemporary challenges. She has ardently delved into the realms of Computational Intelligence, Artificial Intelligence, and Neural Computing. A significant pivot in her research journey involves aligning her work with the United Nations' Sustainable Development Goals, particularly targeting poverty alleviation through agricultural innovation. Collaborative projects with the Natural Resources Institute at the University of Greenwich underscore her commitment to real-world impact, focusing on agricultural challenges like weed identification and fungal infection detection.

Accolades and Recognition

Dr. Razia's academic and research prowess has garnered her several accolades, including the "Best Teacher Award" for pivotal courses like Data Structure and Algorithms, Machine Learning, and Data Analytics. Her initiative in launching the Machine Learning course at Birla Institute of Technology, Dubai, stands testament to her pedagogical innovations, earning her the "Best Faculty Award." Additionally, she has been recognized as the "Best Student Counselor" in both India and Dubai, emphasizing her holistic contribution to academia.

Impact and Influence

With an H-index of 7 and a cumulative impact factor of approximately 24 over the last three years, Dr. Razia's scholarly contributions resonate globally. Her research publications in renowned indices like SCI, SCIE, Scopus, and Web of Science underscore her scholarly impact. Furthermore, her collaborations, totaling 10 joint publications and projects, reflect her expansive academic network and influence.

Legacy and Future Contributions

Dr. Razia Sulthana Abdul Kareem's legacy is characterized by a relentless pursuit of academic excellence, interdisciplinary research, and impactful contributions to society. Her future endeavors are poised to expand upon her existing research frameworks, leveraging AI and machine learning to address pressing environmental and societal challenges. As she continues to mentor the next generation of scholars and innovators, her legacy will undoubtedly transcend academic boundaries, leaving an indelible mark on the realms of Computer Science and Artificial Intelligence.

Notable Publication 

Priya Aggarwal – Emerging Research Trends – Best Researcher Award

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Ms Priya Aggarwal - Indira Gandhi Delhi Technical University for Women - India 

Author Profile

Early Academic Pursuits

Priya Aggarwal embarked on her academic journey at Hopetown Girl's School, where she graduated in 2017 with an impressive percentage of 80 in her intermediate studies. Subsequently, she pursued her Bachelor of Technology in Computer Science Engineering (B.Tech CSE) from Dehradun Institute of Technology, graduating between 2017 and 2021. Her passion for the field was evident early on, laying a strong foundation for her subsequent academic and professional accomplishments.

Professional Endeavors

Starting as a WordPress and UI/UX Developer at Vishesh Ethnic between May 2020 and October 2020, Priya demonstrated her proficiency by handling end-to-end UI designs and graphic creations for the brand. She further honed her skills during her tenure as a Freelancer from June 2020 to May 2021, where she specialized in transforming design concepts into user-centric digital experiences.

Subsequently, Priya interned as a UI/UX Designer at UV Robots from May 2021 to August 2021, contributing significantly to the design of a responsive mobile application using Figma. Later, she served as a Jr Graphic and UI/UX Designer at Infobrandz from January 2022 to May 2023, focusing on creating impactful graphics for online services and designing intuitive UI for web and mobile applications.

Contributions and Research Focus

Priya Aggarwal's research contributions stand out prominently, particularly in the domains of blockchain-based privacy solutions for the aerospace industry. Her publication on "BPADTA: Blockchain-based Privacy-preserving Authentication scheme for Digital Twin empowered Aerospace Industry" in ELSEVIER 2023 highlights her innovative approach to addressing security concerns in aviation. Moreover, her research papers published in SPRINGER NATURE 2023 and SPRINGER 2022 emphasize her expertise in exploring Digital Twins in the aviation industry and secure authentication schemes for smart home environments.

Accolades and Recognition

With a CGPA of 8.92 in her M.Tech (ISM) from Indira Gandhi Delhi Technical University for Women, Priya's academic excellence has been consistently recognized throughout her educational journey. Her research publications in reputable journals such as ELSEVIER and SPRINGER further testify to her recognition as a proficient researcher and contributor to her field.

Impact and Influence

Priya's expertise as a Graphic & UI/UX Designer has enabled her to make a significant impact on various online platforms and applications. Her hands-on experience in leveraging tools like Figma and Adobe has facilitated the creation of immersive user experiences. Additionally, her research contributions have influenced the aerospace and IoT sectors by addressing critical security concerns through innovative blockchain-based and machine learning solutions.

Legacy and Future Contributions

As Priya Aggarwal continues to make strides in the fields of UI/UX Design and Research, her legacy is shaping up as a blend of academic excellence, professional expertise, and innovative contributions. With a keen focus on leveraging technology to address contemporary challenges, she is poised to make significant future contributions in enhancing user experiences, advancing security protocols, and fostering collaborative endeavors in dynamic UI/UX teams. Her dedication to excellence, coupled with her passion for innovation, positions her as a key influencer and contributor in her field for years to come.

NOTABLE PUBLICATION