Bhuvaneswari.S | Deep learning | Best Researcher Award

Dr. Bhuvaneswari.S | Deep learning | Best Researcher Award

SASTRA Deemed University- India

Author Profile

Early Academic Pursuits

Dr. S. Bhuvaneswari embarked on her academic journey with a passion for computer science and engineering, setting a solid foundation for her future endeavors. She pursued her doctoral studies at SASTRA Deemed University, Thanjavur, India, where she focused on developing innovative solutions to real-world challenges. Her thesis, titled “An Intelligent Data-driven Prediction Model for Sustainable Cropping System using Deep Learning Techniques,” reflects her dedication to leveraging technology for agricultural sustainability. This early focus on deep learning techniques and precision agriculture positioned her as a thought leader in the intersection of technology and agriculture. 🌾

Professional Endeavors

Dr. Bhuvaneswari’s professional journey is marked by diverse roles that encompass both industry and academia. She began her career as a Quality Engineering Transformation (QET) Engineer at TATA Consultancy Services (TCS) in Chennai from June 2018 to January 2020. During her tenure at TCS, she was part of the Center of Excellence team in performance testing, where she honed her skills in quality assurance and software engineering.In January 2020, she transitioned to academia as a Junior Research Fellow at the School of Computing, SASTRA Deemed University, supported by the Indian Council of Social Science Research (ICSSR) under the IMPRESS Scheme. She later served as a Teaching Assistant and then a Research Assistant, contributing significantly to various projects until February 2024, when she was appointed as an Assistant Professor Research in the Department of Computer Science and Engineering at SASTRA Deemed University. Her journey reflects a commitment to both teaching and research, combining practical experience with academic rigor. 📚

Contributions and Research Focus

Dr. Bhuvaneswari’s research interests primarily revolve around Deep Learning Techniques, Recommender Systems, and Precision Agriculture. Her work emphasizes the development of intelligent systems that can analyze complex data sets and provide actionable insights for sustainable agricultural practices. One of her notable projects, “Design and Development of Decision-making Tool for Crop Selection in Precision Agriculture,” aims to aid farmers in making informed decisions, thereby improving crop yields and resource management. Additionally, her investigation into prediction models for physical activity recommender systems highlights her versatility and ability to apply her expertise across various domains.Her proficiency in programming languages like Java and Python, combined with her experience in Computer Vision and Recommender Systems, positions her as a valuable asset in the fields of data science and machine learning. 🖥️

Accolades and Recognition

Throughout her career, Dr. Bhuvaneswari has received recognition for her contributions to academia and research. Her work has been funded by reputable organizations, showcasing her ability to secure grants and support for her innovative projects. She has participated in numerous conferences, presenting her research findings and engaging with other experts in her field. This active involvement not only enhances her professional profile but also contributes to the advancement of knowledge in her areas of expertise.

Impact and Influence

Dr. Bhuvaneswari’s influence extends beyond her immediate academic environment. By integrating advanced computational techniques into agriculture, she addresses critical issues related to food security and sustainable farming practices. Her research empowers farmers with data-driven insights, helping them optimize their operations and adapt to changing environmental conditions. Through her teaching, she inspires the next generation of computer scientists, instilling in them a passion for innovation and problem-solving. 🌍

Legacy and Future Contributions

As Dr. Bhuvaneswari continues her journey at SASTRA Deemed University, her legacy is already taking shape through her impactful research and dedication to education. She envisions expanding her work in deep learning and precision agriculture, potentially collaborating with industry partners to implement her models in real-world agricultural settings. Her commitment to developing sustainable solutions is likely to inspire future researchers and practitioners in the field.In conclusion, Dr. S. Bhuvaneswari exemplifies the integration of technology and agriculture, with a strong foundation in research and teaching. Her contributions are paving the way for a more sustainable future, making her a prominent figure in her field. For inquiries, she can be reached at her email: sbhuvi95@gmail.com. With a promising trajectory ahead, Dr. Bhuvaneswari is poised to make significant advancements that will benefit both academia and the agricultural sector. 🌟

Citations

A total of 110 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         110
  • h-index           16
  • i10-index        5

Notable Publications

  • Bhuvaneswari, S. & Subramaniyaswamy, V.
    “D2CNN: Double-staged Deep CNN for Stress Identification and Classification in Cropping System”
    Agricultural Systems, (2024), Vol. 216, 103886 [IF: 6.6]
  • Bhuvaneswari, S., Jagadeesh, M. & Subramaniyaswamy, V.
    “Multi-label Classification for Acoustic Bird Species Detection using Transfer Learning Approach”
    Ecological Informatics, (2024), Vol. 80, pp. 1-12, 102471 [IF: 5.1]
  • Bhuvaneswari, S., Saravanan, P. & Subramaniyaswamy, V.
    “Feature Fusion based Deep Neural Collaborative Filtering Model for Fertilizer Prediction”
    Expert Systems with Applications, (2023), Vol. 216, pp. 1-12 [IF: 8.665]
  • Bhuvaneswari, S., Saravanan, P. & Subramaniyaswamy, V.
    “Meta Learning-based Dynamic Ensemble Model for Crop Selection”
    Applied Artificial Intelligence, (2022), Vol. 36, pp. 1-36 [IF: 2.777]
  • Bhuvaneswari, S., Saravanan, P., Kotecha, K., Kumar, V. & Subramaniyaswamy, V.
    “IoT Driven Artificial Intelligence Technique for Fertilizer Recommendation Model”
    IEEE Consumer Electronics Magazine, (2022).

Ayushi Verma | Computer Vision | Best Researcher Award

Mrs. Ayushi Verma | Computer Vision | Best Researcher Award

Bennett University, India

Author Profile

Early Academic Pursuits 🎓

Ayushi Verma’s academic journey began with a strong foundation in science and technology, evident from her early education at Somerville School, Greater Noida, where she excelled in her High School and Intermediate examinations. With a consistent performance, securing 82.7% in High School and 79.6% in Intermediate, Ayushi demonstrated her commitment to academics early on.Her passion for technology led her to pursue a Bachelor of Technology (B.Tech.) in Computer Science and Engineering at IEC College of Engineering and Technology, Greater Noida, affiliated with Uttar Pradesh Technical University (now Dr. A.P.J. Abdul Kalam Technical University). During her undergraduate studies from 2010 to 2014, she achieved a commendable score of 71.80%, laying a solid groundwork in core engineering principles and computer science fundamentals. This academic foundation paved the way for her future endeavors in the field of computer science.

Professional Endeavors 💼

After completing her B.Tech., Ayushi transitioned into the industry as a Management Trainee at Hungama Digital Media in Noida, Uttar Pradesh. From November 2014 to June 2015, she was part of the Software Management Team working on the “Bhakti App” project. Her role involved data gathering, application testing, and regular reporting on the project’s progress to the management. This experience provided her with valuable insights into the practical aspects of software management and project execution in a corporate environment.However, her passion for academia drew her back, and she pursued a Master of Technology (M.Tech.) in Computer Science and Engineering at Jaypee Institute of Information Technology, Noida, from 2017 to 2019. With a CGPA of 8.1, Ayushi’s master’s program deepened her expertise in advanced computing concepts and research methodologies, preparing her for a career in research and teaching.

Contributions and Research Focus 🔍

Ayushi’s research interests are broad and deeply rooted in contemporary challenges in computer science. Her Ph.D. research, which she is currently pursuing at Bennett University, Greater Noida, is centered on the “3D Video Generation from 2-D Data using Deep Learning Based View Synthesis Technique.” Under the guidance of Dr. Tapas Badal and Dr. Abhay Bansal, this cutting-edge research aims to revolutionize how 2D data is transformed into 3D video, with significant implications for industries such as virtual reality, gaming, and visual effects. Her work in this area reflects her dedication to pushing the boundaries of what is possible with deep learning and artificial intelligence.Ayushi’s master’s thesis titled “Analyzing and Modelling Stack Exchange Software Engineering Q&A Website,” under the supervision of Dr. Neetu Sardana, explored the dynamics of online communities, particularly in software engineering. This work contributed valuable insights into the patterns of interaction and information exchange in such forums, which are critical for understanding the collaborative nature of software development.

Accolades and Recognition 🏆

Throughout her academic and professional journey, Ayushi has consistently sought to enhance her knowledge and skills. She has earned several certifications, including NVIDIA’s DLI Certification in Fundamentals of Deep Learning, which underscores her proficiency in modern AI techniques. Additionally, she has actively participated in Faculty Development Programs, such as the one on Blockchain Technology at Indraprastha Engineering College, Ghaziabad, reflecting her commitment to staying updated with emerging technologies.As a reviewer for the PiCET IEEE Conference, Gujarat Section, Parul University (May 2024), Ayushi has also contributed to the academic community by ensuring the quality and relevance of research being presented, showcasing her role as an emerging thought leader in her field.

Impact and Influence 🌐

Ayushi’s influence extends beyond her research. As an Assistant Professor in the Department of Computer Science and Engineering at Noida Institute of Engineering and Technology (NIET) from July 2019 to October 2021, she played a crucial role in shaping the minds of future engineers. She taught subjects such as Data Mining and Warehousing, Python Programming, Data Structure, and Operating Systems, mentoring undergraduate and graduate students alike. Her teaching philosophy focused on not just imparting knowledge but also fostering critical thinking and problem-solving skills among her students.

Legacy and Future Contributions 🌟

Looking ahead, Ayushi Verma’s legacy is likely to be defined by her contributions to the fields of deep learning and artificial intelligence, particularly in the area of video synthesis and data analysis. Her ongoing Ph.D. research holds the potential to make significant advancements in how we perceive and interact with digital content. Her work could lead to innovations that bridge the gap between 2D and 3D data, with applications ranging from entertainment to education and beyond.As she continues her academic journey, Ayushi’s blend of industry experience, teaching prowess, and cutting-edge research will undoubtedly position her as a key contributor to the future of technology. Her commitment to lifelong learning and her passion for pushing the boundaries of computer science will inspire future generations of engineers and researchers.In conclusion, Ayushi Verma’s journey is a testament to her dedication, expertise, and vision in the field of computer science. Her work, both as a researcher and an educator, continues to impact the academic community and industry, and her future contributions are eagerly anticipated.

Citations

A total of 154 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         154
  • h-index           18
  • i10-index        5

Notable Publications 

  • Title: Advancing Image Generation with Denoising Diffusion Probabilistic Model and ConvNeXt-V2: A novel approach for enhanced diversity and quality
    Authors: Verma, A., Badal, T., Bansal, A.
    Journal: Computer Vision and Image Understanding
    Year: 2024.
  • Title: Single to Diverse Video Generation Using Conditional Diffusion Probabilistic Model
    Authors: Verma, A., Badal, T., Gupta, S., Sinha, S., Gupta, I.
    Conference: 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing, IC-CGU 2024
    Year: 2024.
  • Title: Role of Popularity and Recency for the Discovery of Experts in Stack Exchange Software Engineering Q&A Website
    Authors: Verma, A., Sardana, N.
    Journal: Lecture Notes in Networks and Systems
    Year: 2023.
  • Title: Dynamic Target Monitoring of Load Balancers in Cloud Computing
    Authors: Verma, A., Badal, T., Gupta, I.
    Conference: ACM International Conference Proceeding Series
    Year: 2022.
  • Title: Developer Recommendation for Stack Exchange Software Engineering Q&A Website based on K-Means clustering and Developer Social Network Metric
    Authors: Verma, A., Sardana, N., Lal, S.
    Journal: Procedia Computer Science
    Year: 2020.

Pushpa | Computer Vision | Women Researcher Award

Dr. Pushpa - Computer Vision - Women Researcher Award 🏆 

Amrita Vishwa Vidyapeetham - India

Professional Profiles

Early Academic Pursuits

Her journey in computer vision began during her undergraduate studies, where she developed a keen interest in image processing and artificial intelligence. She pursued her academic endeavors with zeal, delving deep into the theoretical foundations and practical applications of computer vision technologies. Her academic pursuits laid a strong foundation for her future endeavors in the field.

Professional Endeavors

Upon completing her education, she ventured into the professional realm of computer vision. She secured positions in esteemed organizations where she could apply her knowledge and skills to real-world projects. Through her roles in industry and academia, Pushpa gained invaluable experience in implementing computer vision solutions across various domains, from healthcare to autonomous vehicles.

Contributions and Research Focus in Computer Vision

Her contributions to the field of computer vision are substantial and diverse. She has conducted groundbreaking research in image processing, machine learning, and artificial intelligence, with a focus on advancing visual recognition technologies. Her research endeavors have led to the development of innovative algorithms and systems for tasks such as object detection, image segmentation, and scene understanding.

Computer vision is a multidisciplinary field at the intersection of computer science, artificial intelligence, and cognitive psychology. It involves the development of algorithms and systems that enable machines to interpret and understand visual information from images or videos.

Accolades and Recognition

Her exceptional contributions have garnered recognition and accolades from her peers and the wider research community. She has been honored with prestigious awards, including the Women Researcher Award in Computer Vision, in recognition of her outstanding achievements and contributions to the field. Her work has been published in top-tier journals and conferences, further solidifying her reputation as a leading researcher in computer vision.

Applications of computer vision range from medical imaging and autonomous vehicles to robotics, surveillance systems, augmented reality, and beyond. As technology advances, computer vision continues to play a pivotal role in enhancing human-computer interaction, enabling machines to perceive and interpret the visual world with increasing accuracy and sophistication.

Impact and Influence

Her work has had a significant impact on the field of computer vision, influencing both academic research and industry applications. Her innovative algorithms and systems have been instrumental in advancing the state-of-the-art in visual recognition technologies, enabling breakthroughs in various domains such as healthcare, robotics, and surveillance. Pushpa's research has inspired and influenced a new generation of researchers and practitioners in the field, shaping the future of computer vision.

Legacy and Future Contributions

As she continues her journey in computer vision, her legacy will be defined by her ongoing contributions to the field. She remains committed to pushing the boundaries of knowledge and innovation, tackling new challenges, and solving complex problems in visual recognition. Through her research, mentorship, and leadership, Pushpa aims to leave a lasting impact on the field of computer vision, shaping its future trajectory and driving forward advancements in artificial intelligence and image processing.

Citations

  • Citations              309
  • h-index                 9
  • i10-index              9

Notable Publications