Bhuvaneswari.S | Deep learning | Best Researcher Award

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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).

Aqil K H | Artificial intelligence | Best Researcher Award

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Mr. Aqil K H | Artificial intelligence | Best Researcher Award

Indian institute of technology Madras-India

Author Profile

Early Academic Pursuits 📚

Dr. Aqil K H’s passion for electrical engineering and innovation began at a young age in Kerala, India. His academic journey started at the Model Technical Higher Secondary School in Ernakulam, where he excelled in the state board exams, securing an impressive 98.33% in 2012 for his X standard and 95.58% in 2014 for his XII standard. These early achievements underscored his commitment to learning and laid the foundation for his future success. After completing his pre-university education, he pursued a Bachelor of Technology (B.Tech) degree in Electronics and Communication Engineering (ECE) from the prestigious Government Model Engineering College in Ernakulam, Kerala, where he graduated with a commendable CGPA of 8.36 in 2018. His strong academic foundation and technical skills positioned him for higher studies and research.

Professional Endeavors 🌍

Dr. Aqil’s career began as a Software Engineer at Kimball Electronics (India) Pvt. Ltd., where he contributed to various projects within the image processing domain. His role involved the development of computer vision frameworks and algorithm optimization for improving image quality. Working closely with clients in Vietnam, he demonstrated his adaptability and ability to manage real-world challenges, marking his early years of professional growth.In 2020, Dr. Aqil transitioned into research, joining the Healthcare Technology Innovation Centre (HTIC) at IIT Madras, one of the country’s leading research institutes. As a Research Associate, he worked on several impactful projects. One notable project was the X-ray angiography image enhancement initiative, where he collaborated with industry partners to enhance imaging technology. His work on precision medicine for chronic diseases, particularly Alzheimer’s, further expanded his contributions to healthcare innovations. This multi-modal time series forecasting system, aimed at predicting disease progression, utilized cutting-edge techniques like graph representation learning.Additionally, Dr. Aqil became associated with the Sudha Gopalakrishnan BRAIN Centre at IIT-M, where he contributed to groundbreaking research in fetal brain MRI segmentation and histopathology image segmentation. These projects highlighted his ability to apply machine learning and image processing techniques to critical medical fields.

Contributions and Research Focus 🔬

Dr. Aqil’s research primarily focuses on deep learning, machine learning, and image processing, with a particular interest in healthcare applications. His expertise lies in creating sophisticated algorithms and frameworks for medical imaging, including MRI segmentation, dental panoramic X-ray analysis, and time-series forecasting for clinical outcomes.

Some of his key projects include:

  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI: This innovative project addressed challenges in brain segmentation, focusing on multilabel atlas-based segmentation. By using the VoxelMorph’s CNN architecture, Dr. Aqil formulated registration as a deformation field that aligned neurotypical brain images for better diagnosis.
  • Time Series Forecasting of Clinical Factors and Outcomes: This project was geared toward Alzheimer’s disease prediction, using a graph representation learning approach. Dr. Aqil proposed a novel framework that operated on dynamic graphs, translating medical data into actionable insights for clinicians.
  • Accelerated MRI with Untrained Neural Networks: Addressing the problem of MRI reconstruction, this project leveraged untrained neural networks to solve issues related to undersampling, using innovative techniques like ConvDecoder.

His work on dental panoramic X-ray segmentation utilized deep learning techniques to enable the early diagnosis of dental disorders. Dr. Aqil’s fascination with machine learning also extended into areas of face recognition technology, where he developed a door access control system based on K-L transform for face recognition.

Accolades and Recognition 🏅

Throughout his career, Dr. Aqil has earned widespread recognition for his contributions to both research and industry. His academic achievements, such as a CGPA of 9.00 in his Master’s program at IIT-Madras, reflect his dedication to excellence. His research endeavors at IIT-Madras’s HTIC and BRAIN Centre have led to publications that have earned citations, indicating his growing influence in the field of medical image processing and machine learning.

Impact and Influence 🌟

Dr. Aqil’s research has had a profound impact on the field of medical imaging. His work on X-ray angiography and fetal brain MRI segmentation has improved diagnostic capabilities, helping doctors make more informed decisions. The time series forecasting systems he developed for Alzheimer’s disease prediction are poised to revolutionize how chronic diseases are managed and treated. His contributions to precision medicine are critical in an era where personalized treatment plans are becoming the norm.His research contributions extend beyond academic circles, as his image processing frameworks are being implemented in real-world medical settings, influencing the future of healthcare technology.

Legacy and Future Contributions 🚀

Dr. Aqil K H is set to leave a lasting legacy in the intersection of electrical engineering and healthcare technology. His groundbreaking work in image processing and deep learning promises to continue shaping the future of medical diagnostics. As a researcher, his contributions to accelerated MRI reconstruction and graph-based time-series forecasting have set new standards in medical imaging research. His passion for education, research, and technological advancement ensures that his work will inspire future engineers and researchers.In the coming years, Dr. Aqil aims to expand his research to include multi-modal medical data integration and AI-driven healthcare solutions, further pushing the boundaries of how technology can improve human health. His dedication to innovation, collaboration, and continuous learning will undoubtedly leave an enduring mark on the fields of deep learning and medical imaging.

Notable Publications 

  • Predictive Modeling of Alzheimer’s Disease Progression: Integrating Temporal Clinical Factors and Outcomes in Time Series Forecasting
    Authors: Aqil, K.H., Dumpuri, P., Ram, K., Sivaprakasam, M.
    Journal: Intelligence-Based Medicine, 2024.
  • Confounding Factors Mitigation in Brain Age Prediction Using MRI with Deformation Fields
    Authors: Aqil, K.H., Kulkarni, T., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023.
  • Learning to Atlas Register for Rapid Segmentation of Brain Structures in Fetal MRI
    Authors: Kulkarni, T., Aqil, K.H., Jayakumar, J., Ram, K., Sivaprakasam, M.
    Journal: Progress in Biomedical Optics and Imaging – Proceedings of SPIE, 2023.

Rajendra Pawar | Machine Learning | Best Researcher Award

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Dr. Rajendra Pawar | Machine Learning | Best Researcher Award

MIT Art, Design and Technology University , Pune-India.

Author Profile

Early Academic Pursuits 🎓

Dr. Rajendra Genaba Pawar’s academic journey began with his passion for Information Technology. He completed his Bachelor’s degree in Information Technology from Shivaji University, Kolhapur, in 2005, laying a strong foundation in the rapidly evolving field of computer science. Determined to advance his knowledge, Dr. Pawar pursued his M.Tech. in Information Technology at Bharati Vidyapeeth University, Pune, graduating in 2013. His academic accomplishments reached a pinnacle when he earned his Ph.D. in Computer Science Engineering from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, in March 2022. His doctoral research added to his already rich academic profile and contributed significantly to the field of computer science.

Professional Endeavors 🏫

Dr. Pawar’s career is marked by progressive roles across various prestigious institutions. He began his teaching journey as a Lecturer at Bharati Vidyapeeth College of Engineering, Pune, from July 2005 to June 2007, followed by a position at Sinhgad Institute of Technology, Lonavala, where he taught until April 2008. His passion for teaching and research then led him to MAEER’s MIT College of Engineering, Pune, where he served as an Assistant Professor from May 2008 to July 2020. During this time, Dr. Pawar shaped the minds of countless students while engaging in research endeavors that broadened the horizons of computer science.In August 2020, Dr. Pawar joined MAEER’s MIT World Peace University, Pune, as an Assistant Professor, further expanding his research portfolio while delivering high-quality education. His unwavering dedication to academia and innovation earned him a promotion to Associate Professor at the School of Computing, MAEER’S MIT Art, Design, and Technology University, Pune, in August 2023. Dr. Pawar continues to inspire students and colleagues with his expertise and dedication to research.

Contributions and Research Focus 🔍🧠

Dr. Pawar’s research interests span several cutting-edge areas in computer science, with a focus on Machine Learning, Artificial Intelligence, Data Science, Python Programming, Computer Graphics, Software Engineering, Multimedia Systems, and Software Design and Modeling. His contributions in these domains have been crucial in advancing both theoretical and practical aspects of technology.Dr. Pawar’s research in artificial intelligence and machine learning stands out, especially in its application to real-world problems. His interest in Python programming and data science has enabled him to mentor students in developing robust and scalable software solutions. Additionally, his work in computer graphics and software design has significantly contributed to the understanding of user experience design, making him a well-rounded educator and researcher in his field.

Accolades and Recognition 🏅📜

Dr. Pawar’s relentless pursuit of knowledge and his efforts in educating the next generation of technologists have earned him numerous certifications and accolades. He has obtained a range of professional certificates, including:

  1. Generative AI for Everyone by DeepLearning.AI through Coursera (Feb 2024), demonstrating his commitment to staying at the forefront of AI technology.
  2. Crash Course on Python by Google, offered through Coursera (Sept 2022), which reflects his expertise in programming languages.
  3. Complete Python Master Class: Learn Python from Scratch by Udemy (May 2018), highlighting his dedication to mastering the Python language.
  4. Microsoft Certified Azure Fundamentals (May 2024), indicating his proficiency in cloud computing and Microsoft Azure services.

These certifications exemplify his ongoing commitment to personal and professional development, as well as his desire to bring cutting-edge technology and learning to his students.

Impact and Influence 💡👨‍🏫

Dr. Pawar has left an indelible mark on the academic and professional communities through his teaching, research, and mentorship. His students have not only gained technical knowledge but have also developed critical thinking and problem-solving skills under his guidance. His role as a teacher has transcended beyond the classroom as he continuously encourages students to engage in research and innovation. Moreover, his expertise in Python programming and machine learning has helped shape the careers of many aspiring data scientists and software engineers.His contributions to MIT World Peace University and the broader academic community have been profound, influencing curriculum development and research initiatives across his areas of specialization.

Legacy and Future Contributions 🏆🚀

As Dr. Pawar continues his academic and research journey, his legacy grows with each student he mentors and each research paper he publishes. His contributions to the fields of artificial intelligence, machine learning, and computer science are poised to influence future advancements in technology. With his focus on emerging trends and continuous learning, Dr. Pawar will undoubtedly remain a key figure in shaping the future of computer science education and research.In the years to come, Dr. Pawar aims to contribute further to the growing body of knowledge in machine learning and AI, particularly in developing solutions that can impact industries such as healthcare, education, and more. His commitment to using technology for societal good ensures that his influence will continue to extend far beyond the academic community.

Citations

A total of 42 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         42
  • h-index           19
  • i10-index        04

Notable Publications 

  • Dried fish dataset for Indian seafood: A machine learning application
    Paygude, P., Gayakwad, M., Wategaonkar, D., Pujeri, R., Joshi, R.
    Data in Brief, 2024.
  • Innovative approaches for skin disease identification in machine learning: A comprehensive study
    Vayadande, K., Bhosle, A.A., Pawar, R.G., Bailke, P.A., Lohade, O.
    Oral Oncology Reports, 2024.
  • Synergizing Investment Portfolios: A Technologically Advanced Approach with Integrated Chatbot Capabilities
    Shelke, P.M., Pawar, R.G., Pawar, P., Rathod, R., Kawoor, T.
    2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024.
  • MIT-WPU Insight Sync: A Data Empowerment Platform
    Shah, D., Singh, A.K., Prasad, A., Dixit, B., Pawar, R.G.
    2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024.
  • Challenges and a Novel Approach for Image Captioning Using Neural Network and Searching Techniques
    Dixit, B., Pawar, R.G., Gayakwad, M., Mahajan, A., Chinchmalatpure, S.V.
    International Journal of Intelligent Systems and Applications in Engineering, 2023.

Souvik Das | Artificial intelligence | Excellence in Research

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Assist Prof Dr. Souvik Das | Artificial intelligence | Excellence in Research

NIT Rourkela, India

Author Profile

Early Academic Pursuits 🎓

Souvik Das’s journey in academia began with a strong foundation in Electrical Engineering, where he pursued his Bachelor of Technology (B.Tech.) at the Regional Computer Centre Institute of Information Technology (RCCIIT) in West Bengal, India, from August 2010 to July 2014. During this period, Souvik demonstrated a keen interest in the technical aspects of electrical systems, which earned him a commendable CGPA of 8.48/10. His academic rigor and curiosity laid the groundwork for his future endeavors in engineering and research.Continuing his academic pursuit, Souvik Das enrolled in the Master of Technology (M. Tech.) program in Industrial Engineering and Management at the prestigious Indian Institute of Technology Kharagpur (IIT KGP) from July 2015 to May 2017. With a CGPA of 8.84/10, he not only excelled academically but also began to refine his research interests, particularly in the areas of human factors, safety engineering, and analytics. This period marked a significant shift in his academic focus, as he started exploring the interdisciplinary nexus of engineering, safety, and human interaction.Souvik’s thirst for knowledge culminated in his doctoral studies, where he pursued a Ph.D. in Safety Engineering and Analytics at IIT Kharagpur from June 2017 to August 2023. His dissertation, titled “Data-Driven Modeling of Cognitive Workload using Eye Tracking Metrics,” underscored his commitment to pioneering research at the intersection of technology and human cognition. Through this work, Souvik contributed valuable insights into understanding how eye-tracking metrics can be leveraged to model cognitive workload, a critical aspect of safety engineering and human factors.

Professional Endeavors 🛠️

Souvik Das’s professional journey is characterized by his roles as a researcher, scholar, and innovator. His career trajectory reflects a consistent dedication to advancing the field of safety engineering and analytics through cutting-edge research and applied projects.From September 2021 to May 2023, Souvik served as the Principal Research Scientist at the Centre of Excellence in Safety Engineering and Analytics (CoE-SEA) at IIT Kharagpur. In this capacity, he played a pivotal role in conceptualizing, planning, and executing innovative projects focused on occupational safety and ergonomics. His work during this period was instrumental in publishing three high-impact journal articles that have contributed to the body of knowledge in safety engineering. Souvik’s ability to collaborate with cross-functional teams and translate research findings into actionable insights also had a significant influence on the development of Industry 4.0 solutions, particularly in enhancing situational awareness in the workplace.In June 2023, Souvik took on the role of Visiting Scholar at the School of Engineering Technology (SOET) at Purdue University, USA. Here, he has been involved in pioneering projects that utilize natural language processing and large language models to analyze vast volumes of accident and incident narratives. This role not only highlights his adaptability to new research environments but also his commitment to applying advanced technologies to solve real-world safety challenges.Additionally, Souvik’s contributions extend to the academic publishing domain, where he has been serving as an Associate Editor for the Journal of Emerging Investigators, Inc., since November 2023. In this role, he is responsible for managing the peer review process, ensuring timely and thorough reviews, and guiding young scientists in transforming their research into formal publications.

Contributions and Research Focus 🔍

Souvik Das’s research interests are diverse and interdisciplinary, encompassing Human Factors and Ergonomics, Safety Engineering and Analytics, Risk Assessment, Virtual and Augmented Reality, Eye Movements Analysis, Artificial Intelligence, and Machine Learning. His work in these areas is underpinned by a strong foundation in both theoretical and applied research methodologies.One of Souvik’s notable contributions is his work on data-driven modeling of cognitive workload using eye-tracking metrics. This research provides critical insights into how cognitive load can be quantified and monitored in real-time, offering significant implications for enhancing safety in various industrial and occupational settings. His work in this area not only contributes to the academic discourse but also has practical applications in improving workplace safety and efficiency.Souvik’s expertise in coding (R, Python, HTML, C++) and his proficiency with a wide range of software tools, including MATLAB, Delmia, LINGO, MINITAB, and SPSS, among others, have enabled him to approach his research with a robust analytical framework. His ability to integrate these tools into his research allows him to tackle complex problems with precision and innovation.

Accolades and Recognition 🏅

Throughout his academic and professional career, Souvik Das has received recognition for his contributions to the field of safety engineering and analytics. His published works in high-impact journals are a testament to the quality and relevance of his research. Additionally, his role as an Associate Editor of a scientific journal further underscores his standing in the academic community, where he is trusted to mentor and guide emerging researchers.

Impact and Influence 🌟

Souvik’s work has had a profound impact on both academic and industrial sectors. His research has influenced the development of safer and more efficient industrial processes, particularly through his contributions to Industry 4.0 solutions. By integrating human factors into safety engineering, Souvik’s work has helped bridge the gap between technology and human interaction, leading to more effective safety protocols and practices.

His influence extends beyond his immediate research environment, as he continues to mentor young scientists and contribute to the academic community through his editorial work and collaborative research efforts.

Legacy and Future Contributions 🧭

As Souvik Das continues his journey as a Visiting Scholar at Purdue University, his future contributions are poised to further advance the fields of safety engineering and human factors. His ongoing projects involving natural language processing and large language models signal a forward-thinking approach to research, where technology is harnessed to address complex safety challenges.Souvik’s legacy will likely be defined by his interdisciplinary approach, his commitment to bridging the gap between research and practice, and his ability to mentor the next generation of researchers. As he continues to explore new frontiers in safety engineering and analytics, his work will undoubtedly leave a lasting impact on both academia and industry.

Citations

A total of 192 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         192
  • h-index            21
  • i10-index         8

Notable Publications 

  • Title: Assessment of Cognitive Workload Based on Information Theory Enabled Eye Metrics
    Authors: Das, S., Maiti, J.
    Journal: Safety Science
    Year: 2024
  • Title: A Semi-Automated Coding Scheme for Occupational Injury Data: An Approach Using Bayesian Decision Support System
    Authors: Das, S., Khanwelkar, D.R., Maiti, J.
    Journal: Expert Systems with Applications
    Year: 2024
  • Title: A Novel Classification Approach Based on Context Connotative Network (CCNet): A Case of Construction Site Accidents
    Authors: Gupta, A.K., Sai Pardheev, C.G.V., Choudhuri, S., Garg, A., Maiti, J.
    Journal: Expert Systems with Applications
    Year: 2022
  • Title: Eye-Tracking Data as a Way to Detect Sleep Deprivation in an Individual, Based on Attention, Mental Agility, and Problem-Solving
    Authors: Das, S., Pratyush, P., Das, D., Maiti, J., Krishna, O.B.
    Book: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
    Year: 2022
  • Title: Reconstruction of 3D Point Cloud Based on the Sequence of Images
    Authors: Das, S., Girdharwal, A., Maiti, J., Krishna, O.B.
    Book: Machine Learning Algorithms for Engineering Applications: Future Trends and Research Directions
    Year: 2022.

Vishwash Sharma | Big data | Best Research Award

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Mr. Vishwash Sharma | Big data | Best Research Award

Amrita Vishwa Vidyapeetham, India

Author Profile

🎓 Early Academic Pursuits

Vishwash Sharma’s journey into the world of computer science and artificial intelligence began during his formative years at Kendriya Vidyalaya No-2, Jalahalli East. His academic excellence was evident early on, as he secured a remarkable 91% in Grade 10 in 2019 and maintained a high standard with 87% in Grade 12 in 2021. His strong foundation in science and mathematics, coupled with a burgeoning interest in technology, paved the way for his future endeavors.Vishwash’s passion for computer science led him to pursue a Bachelor of Technology (B.Tech) in Computer Science and Artificial Intelligence at Amrita Vishwa Vidyapeetham, Bangalore. His dedication and hard work reflected in his impressive CGPA of 8.43, showcasing his commitment to mastering the complexities of AI and machine learning. Throughout his undergraduate studies, Vishwash has demonstrated a keen interest in applying AI to solve real-world problems, particularly in the fields of cybersecurity and deep learning.

💻 Professional Endeavors

As a final-year undergraduate student, Vishwash Sharma has already made significant strides in the field of artificial intelligence and cybersecurity. His professional journey is marked by a series of projects and contributions that highlight his technical acumen and innovative thinking.One of Vishwash’s notable projects is “Detecting Plant Diseases at Scale: A Distributed CNN Approach with PySpark and Hadoop,” which he presented at the International Conference on Machine Learning and Data Engineering (ICMLDE) in 2023. In this project, Vishwash developed a convolutional neural network (CNN) model using PySpark, achieving an impressive accuracy of 95.76% in detecting plant diseases from a dataset of 2000 images. To ensure the model’s practical applicability, he created a user-friendly interface with Tkinter, allowing seamless integration into agricultural practices. This project not only showcases his proficiency in machine learning frameworks but also his ability to apply AI solutions to address pressing challenges in agriculture.Another significant contribution by Vishwash is his work on “Federated Ensemble for Lung Pneumonia Detection,” which he presented at the 15th IEEE International Conference on Computing, Communication, and Networking Technologies in 2024. In this project, he developed a federated CNN ensemble model for lung pneumonia detection, emphasizing the importance of data privacy by training models locally at distributed medical institutions. The ensemble of VGG16 and a sequential model achieved the best accuracy, while the ensemble of GoogLeNet minimized false negatives, demonstrating the efficacy of federated learning in sensitive medical applications.

🔍 Contributions and Research Focus

Vishwash Sharma’s research and project work are centered around machine learning, deep learning, and cybersecurity. His approach to solving complex problems is characterized by a blend of technical expertise and a deep understanding of the real-world implications of his work.In the domain of cybersecurity, Vishwash has contributed significantly as a Digital Forensics and Incident Response (DFIR) mentor for Team bi0sblr. Specializing in network forensics and memory forensics, he has utilized tools such as Wireshark, Ghex, Scapy, and Volatility to mentor and guide his team. Under his leadership, Team bi0sblr consistently ranked among the top 5 in all India Capture The Flag (CTF) competitions, a testament to his skills and leadership.In addition to his work in cybersecurity, Vishwash has also been actively involved in AI-driven projects. His role as the Computer Science Subsystem Lead for Team Rover, participating in the ISRO Rover Challenge 2024, highlights his ability to integrate AI and robotics. He oversaw the design, development, and integration of computer science components into the rover platform, utilizing tools such as Jetson Nano, Intel RealSense Camera, PyTorch, and TensorFlow to achieve project objectives. This project underscores his versatility and ability to apply AI in diverse fields.

🏅 Accolades and Recognition

Vishwash Sharma’s dedication to his craft has earned him several accolades and certifications. He is an AWS Academy Graduate, having completed the AWS Academy Introduction to Cloud Semester in 2022. His commitment to data science and AI is further evidenced by his certification in Data Science Foundations from Great Learning in 2022, and his hands-on experience in AI for real-world applications through AI4ICPS at IIT Kharagpur in 2023.Moreover, Vishwash is a Certified Cyber Security Analyst (C3SA) from Cyberwarfare Labs, showcasing his dual expertise in AI and cybersecurity. His certification in Python for Genomic Data Science from Coursera highlights his interest in interdisciplinary applications of AI, further broadening his skill set.

🌍 Impact and Influence

Vishwash’s contributions have had a significant impact on both academic and professional communities. His work in plant disease detection has the potential to revolutionize agricultural practices by providing farmers with an accessible and accurate tool for monitoring crop health. Similarly, his research in federated learning for medical applications offers a promising approach to preserving patient privacy while enhancing diagnostic accuracy.As a mentor and leader, Vishwash has influenced many students and peers, particularly in the field of cybersecurity. His guidance has been instrumental in the success of Team bi0sblr, and his leadership in Team Rover demonstrates his ability to drive complex projects to successful outcomes.

🌠 Legacy and Future Contributions

Looking ahead, Vishwash Sharma is poised to make even greater contributions to the fields of AI, machine learning, and cybersecurity. His academic background, coupled with his hands-on experience in cutting-edge projects, positions him as a future leader in these domains. Vishwash is passionate about leveraging AI to create innovative solutions that enhance safety and efficiency across various industries.As he continues to explore new challenges and opportunities, Vishwash is committed to advancing the frontiers of AI and cybersecurity. His legacy will likely be defined by his contributions to the development of AI-driven solutions that address critical global issues, as well as his role in mentoring the next generation of technologists and researchers.

PAMMI KUMARI | Data Science | Best Researcher Award

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Ms. Pammi Kumari | Data Science | Best Researcher Award

NIT PATNA, India

Author Profile

🎓Early Academic Pursuits

Pammi Kumari’s academic journey began with a strong foundation in mathematics and sciences, as reflected in her early education. She completed her Class 10th from the Bihar Board in 2002 with a commendable score of 67.75%. Two years later, she graduated from high school with a 60% in Class 12th, also under the Bihar Board. Her passion for mathematics led her to pursue a B.Sc. in Mathematics from Magadh University, where she graduated in 2007 with a solid 65%.Her interest in engineering, particularly in electronics and communication, prompted her to pursue a B.Tech in Electronics & Communication Engineering from I.E.T. M.J.P. Rohilkhand University, Bareilly. She excelled in her studies, achieving a DGPA of 8.02 (75%) and graduating in 2012. Driven by a desire to deepen her expertise, Pammi Kumari continued her education with an M.Tech in Electronics & Communication Engineering, specializing in Communication Engineering, at Invertis University of Technology, Bareilly, where she graduated in 2015 with an aggregate of 76.47%. Currently, she has submitted her Ph.D. thesis in Electronics & Communication Engineering from the prestigious Birla Institute of Technology, MESRA, Ranchi, boasting an impressive aggregate of 8.23%.

💼Professional Endeavors

Pammi Kumari’s professional journey is as impressive as her academic achievements. She has accumulated over six years of teaching experience, beginning her career as a Teaching Assistant during her M.Tech. at Invertis University, Bareilly. Following this, she served as a lecturer at I.E.T. M.J.P. Rohilkhand University, Bareilly, in the Department of Electronics & Communication Engineering from 2012 to 2014.Pammi then transitioned to a role as an Assistant Professor at Mohammad Ali Jauhar University, Rampur, where she served from 2015 to 2017. Her teaching journey continued as a guest lecturer at KNIT Sultanpur, U.P., from 2017 to 2019, demonstrating her commitment to educating and mentoring students. Pammi Kumari also worked as an Assistant Professor at the Meerut Institute of Technology (MIET) in the Department of Computer Science and Engineering, specializing in Data Science, showcasing her versatility in the field.Currently, Pammi Kumari is a Project Assistant at NIT Patna, in the Department of Electronics & Communication Engineering, where she works under the supervision of Dr. Subodh Srivastava. This role allows her to apply her engineering skills in a research setting, further enhancing her professional experience.

🔬Contributions and Research Focus

Pammi Kumari has made significant contributions to the field of electronics and communication engineering, particularly in the areas of artificial intelligence (AI), machine learning, and digital image processing. Her research has primarily focused on medical image processing, which was the subject of her Ph.D. thesis. Her work in this area involved the detection of dead tissues in medical images using various algorithms, contributing valuable insights to the field of medical diagnostics.During her M.Tech., Pammi focused on digital image processing using Artificial Neural Networks, further establishing her expertise in this area. Her B.Tech. thesis, titled “Design of Rectangular Patch Microstrip Antenna using IE3D Software,” demonstrated her strong foundation in antenna design and wave propagation.In addition to her academic research, Pammi has also been involved in several industrial training and projects. She completed an internship at NTPC Singarulli, M.P., where she gained practical experience in the field. Her industrial experience is further highlighted by her expertise in software tools such as MATLAB, PYTHON, and C++, as well as her knowledge of Electromagnetic Simulation and Design Automation using IE3D Software and CST STUDIO SUITE.

🏅Accolades and Recognition

Pammi Kumari’s work has been recognized through various accolades, including the publication of multiple Indian patents. These patents reflect her innovative approach to problem-solving and her contributions to the field of electronics and communication engineering. Notable among these are her patents on an “IoT Health Monitoring Device,” a “Machine Learning Based Approach for Products with Embedded Sensors of E-Commerce Sites,” and an “IoT and Artificial Intelligence-Based Solar Power Generation with Maximum Power Tracking Using Modern ML.”Her contributions to academia also include co-authoring the book “Database Concepts and Design,” published by AkiNik Publications in New Delhi in 2022. This book is a testament to her deep understanding of database systems and her ability to convey complex concepts in an accessible manner.

🌍Impact and Influence

Pammi Kumari’s influence extends beyond her research and teaching. She has actively participated in national conferences, including those focused on computer communication, embedded systems, and digital information technologies. These conferences have provided her with platforms to share her research findings and collaborate with other experts in the field.Moreover, Pammi has contributed to the academic community by participating in faculty development programs (FDPs) and workshops. Her involvement in FDPs on topics such as “Artificial Intelligence and Machine Learning in Healthcare” and “Frontier Areas of Research in Mechanical Engineering” demonstrates her commitment to continuous learning and staying at the forefront of technological advancements.

🌟Legacy and Future Contributions

As Pammi Kumari continues to advance in her career, her legacy is likely to be one of innovation, dedication, and impact. Her work in AI and machine learning, particularly in the context of medical image processing, has the potential to revolutionize healthcare diagnostics. Her contributions to teaching and mentoring the next generation of engineers and researchers will undoubtedly have a lasting influence on the field.Looking forward, Pammi Kumari is poised to continue making significant contributions to the field of electronics and communication engineering. Her ongoing research, coupled with her passion for teaching, will ensure that she remains a valuable asset to both the academic and industrial communities. With her strong foundation in research, teaching, and innovation, Pammi Kumari is set to leave an indelible mark on the world of engineering and technology.

Citations

A total of 5 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         5
  • h-index           8
  • i10-index        2

Notable Publications 

  • Title: Pathologic Myopia Diagnosis and Localization from Retinal Fundus Images Using Custom CNN
    Authors: Kumari, P., Saxena, P.
    Journal: Neural Computing and Applications
    Year: 2024.
  • Title: An Efficient Multitasking Cascade Network for Arteriovenous Segmentation Using Dual-Modal Fundus Images
    Authors: Diwakar, R.K., Kumari, P., Saxena, P., Poddar, R.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Disease Localization and Its Prediction from Retinal Fundus Images Using Explicitly Designed Deep Learning Architecture
    Authors: Kumari, P., Saxena, P.
    Journal: Multimedia Tools and Applications
    Year: 2024.
  • Title: Retinal Disease Classification Using Custom CNN Model from OCT Images
    Authors: Baba, S., Kumari, P., Saxena, P.
    Journal: Procedia Computer Science
    Year: 2024.
  • Title: Cataract Detection and Visualization Based on Multi-Scale Deep Features by RINet Tuned with Cyclic Learning Rate Hyperparameter
    Authors: Kumari, P., Saxena, P.
    Journal: Biomedical Signal Processing and Control
    Year: 2024.

Jayashree | Deep learning | Best Researcher Award

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Mrs. Jayashree - Deep learning - Best Researcher Award 🏆 

Nitte meenakshi Institute of technology - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a strong passion for science, particularly in the realm of data science, big data, and data mining. Her fascination with handling large volumes of high-dimensional data and employing various data mining techniques led her to pursue a Ph.D. in this field at VTU Belgaum. Her research endeavors are focused on processing and analyzing complex datasets, exploring innovative methodologies to extract meaningful insights.

Professional Endeavors

With a total experience of 9.5 years, she has made significant contributions to academia and industry. She has served as an Assistant Professor at prestigious institutions such as Nitte Meenakshi Institute of Technology, Vijaya Vittal Institute of Technology, and BIT Institute of Technology, among others. Her teaching tenure has been marked by a commitment to excellence, where she imparted knowledge and mentored students in the fields of computer science and engineering.

Deep learning is a subset of artificial intelligence (AI) and machine learning that involves training artificial neural networks to learn from vast amounts of data. Using sophisticated algorithms inspired by the structure and function of the human brain, deep learning models can automatically discover and extract intricate patterns and representations from complex datasets. Neural networks, the building blocks of deep learning, consist of interconnected layers of artificial neurons that process and transform input data to produce meaningful outputs. As a key component of data science, deep learning has revolutionized various fields such as computer vision, natural language processing, speech recognition, and autonomous systems. With its ability to handle unstructured data and perform feature learning automatically, deep learning continues to drive innovation and advancements in AI research and applications.

Contributions and Research Focus in Deep learning

Her research focuses on the intersection of deep learning, artificial intelligence, neural networks, machine learning, and data science. Her work delves into developing advanced algorithms and models to tackle complex problems in various domains such as computer vision, natural language processing, and autonomous systems. By leveraging cutting-edge technologies and methodologies, she strives to push the boundaries of knowledge and contribute to the advancement of these fields.

As a key component of data science, deep learning has revolutionized various fields such as computer vision, natural language processing, speech recognition, and autonomous systems. With its ability to handle unstructured data and perform feature learning automatically, deep learning continues to drive innovation and advancements in AI research and applications. The applications of deep learning span across various domains, revolutionizing fields such as computer vision, natural language processing, speech recognition, and autonomous systems.

Accolades and Recognition

Throughout her career, she has garnered recognition for her outstanding contributions. Her dedication to research and education has earned her accolades such as the Best Researcher Award. Her publications in reputed journals and her active participation in conferences and workshops have further solidified her reputation as a leading researcher in her field.

Impact and Influence

Her work has had a profound impact on the academic and scientific community. Her research findings and insights have contributed to advancements in deep learning, artificial intelligence, and data science, driving innovation and progress in these fields. Through her mentorship and guidance, she has inspired numerous students to pursue careers in research and academia, leaving a lasting legacy in the field.

Legacy and Future Contributions

As she continues her journey in research and education, her legacy is poised to grow even further. With her passion, expertise, and dedication, she will continue to make significant contributions to deep learning, artificial intelligence, neural networks, machine learning, and data science. Her future endeavors hold the promise of further breakthroughs and advancements, shaping the landscape of these fields for years to come.

Notable Publications

Sushopti Gawade | Computer Engineering | Women Researcher Award

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Dr. Sushopti Gawade - Computer Engineering - Women Researcher Award🏆

Vidyalankar Institute of Technology, Mumbai - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a Bachelor of Engineering (B.E.) in Computer Science and Engineering from Walchand College of Engineering, Sangli, followed by a Master of Engineering (M.E.) in Computer Science and Engineering from the same institution. Continuing her pursuit of knowledge, she earned her Ph.D. in Computer Engineering from Pacific Academy Higher Education and Research, Udaipur, where her research focused on "Usability Improvement in Agriculture Schemes and Development of Farm Management Tool e-Krishimitra."

Professional Endeavors

Her professional journey spans over 25 years in various roles in Mumbai University Engineering Colleges. She has served as a Professor at the Vidyalankar Institute of Technology (VIT) and PCE Panvel, Mumbai University. In addition to teaching, she has taken on administrative roles such as UG Coordinator, III Coordinator, and Head of the Department of Computer Engineering.

Contributions and Research Focus in Computer Engineering

With expertise in Computer Engineering, she has made significant contributions to academia and research. Her research interests include technology-driven solutions in agriculture, usability improvement, and farm management tools. She has supervised numerous postgraduate and Ph.D. students, fostering a culture of research and innovation.

Accolades and Recognition

Her dedication and contributions to the field of Computer Engineering have been recognized with various accolades and awards. Notably, she has been honored with the Women Researcher Award for her outstanding research contributions. Her work has also been appreciated through awards for teaching excellence and administrative achievements.

Impact and Influence

Her work has had a profound impact on the field of Computer Engineering, particularly in the areas of technology integration in agriculture and educational administration. Her research and initiatives have influenced students, faculty, and professionals, inspiring them to explore innovative solutions and contribute to societal development.

Legacy and Future Contributions

As a pioneering figure in Computer Engineering, she continues to inspire future generations of researchers and educators. Her legacy lies in her commitment to academic excellence, research innovation, and administrative leadership. In the future, she aims to further her research endeavors, mentor aspiring scholars, and contribute to the advancement of technology-driven solutions in agriculture and beyond.

Citations

  • Citations               199
  • h-index                  9
  • i10-index               9

Notable Publications

 

Anil Kumar | Fuzzy Machine Learning | Best Researcher Award

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Dr. Anil Kumar - Fuzzy Machine Learning - Best Researcher Award 🏆

 Indian Institute of Remote Sensing - India

Professional Profiles

Early Academic Pursuits

He embarked on his academic journey with a strong foundation in engineering, specializing in Civil Engineering. Graduating with distinction from the University of Lucknow, he continued his studies at the prestigious IIT Roorkee, where he obtained a Master of Engineering (M.E.) in Photogrammetry and Remote Sensing Engineering. Dr. Kumar further pursued his academic endeavors by completing a Ph.D. in Soft Computing from IIT Roorkee, showcasing his commitment to interdisciplinary research and learning.

Professional Endeavors

His professional career spans over two decades, with significant contributions to the field of remote sensing and artificial intelligence. He has held various positions at the Indian Institute of Remote Sensing (IIRS), an esteemed institution under the Indian Space Research Organisation (ISRO). From Scientist/Engineer 'SC' to his current role as Head PRSD and Scientist/Engineer 'SG', Dr. Kumar has demonstrated exemplary leadership and expertise in his field. Additionally, his stint as an Application Engineer at Leica equipped him with practical insights into digital photogrammetry and geospatial technologies.

Contributions and Research Focus in Fuzzy Machine Learning

His research focus revolves around the intersection of remote sensing, artificial intelligence, and data science. With specialized expertise in deep learning, machine learning, and fuzzy logic, he has pioneered innovative approaches to analyzing and processing temporal remote sensing data, LiDAR, and GNSS data. His research contributions have significantly advanced the fields of environmental monitoring, disaster management, and urban planning. Moreover, Dr. Kumar's academic activities, spanning 26 years, reflect his dedication to teaching and mentoring future generations in the domains of artificial intelligence and remote sensing.

Accolades and Recognition

His exemplary contributions have earned him recognition and accolades in the scientific community. His leadership roles and research achievements at ISRO's Indian Institute of Remote Sensing have been lauded by peers and colleagues alike. Furthermore, his expertise in remote sensing and artificial intelligence has positioned him as a sought-after expert in the field, garnering respect and admiration from fellow researchers and industry professionals.

Impact and Influence

His impact extends beyond his professional accomplishments, influencing the broader scientific community and societal welfare. His research endeavors in deep learning and fuzzy machine learning have paved the way for innovative solutions to complex environmental challenges. By leveraging artificial intelligence and data science, Dr. Kumar's work has facilitated more effective decision-making processes in areas such as disaster response, land use planning, and natural resource management.

Legacy and Future Contributions

His legacy lies in his profound contributions to the fields of remote sensing, artificial intelligence, and data science. Through his pioneering research, mentorship, and leadership, he has inspired countless individuals and organizations to harness the power of technology for the betterment of society. Moving forward, Dr. Kumar remains committed to pushing the boundaries of knowledge and innovation, driving transformative advancements in remote sensing, artificial intelligence, and fuzzy machine learning.

Citations

  • Citations               994
  • h-index                  16
  • i10-index               32

Notable Publications

Ramana TV | Machine Learning | Best Researcher Award

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Dr. Ramana TV - Machine Learning - Best Researcher Award🏆

Jain University Bangalore - India

Professional Profiles

Early Academic Pursuits

His academic journey commenced with a deep-rooted interest in computer science and engineering, leading him to pursue a Ph.D. in the same field from J.N.T. University, Hyderabad. Throughout his academic tenure, spanning from 2003 to 2011, Dr. Ramana displayed a keen dedication to expanding his knowledge and expertise in various facets of computer science, including machine learning (ML), artificial intelligence (AI), and data science.

Professional Endeavors

His professional journey has been characterized by a diverse range of experiences in academia and industry. With over 11 years of teaching experience, he has served as a Professor at prestigious institutions such as Jain University, Bangalore, and Galgotias University, Greater Noida. Additionally, he has contributed to the industry with a tenure of 4 years, holding positions such as Principal Quality Assurance Engineer at CA Technologies Private Limited and Senior Systems Engineer at Siemens Information Systems Limited.

Contributions and Research Focus in Machine Learning

His research focus revolves around cutting-edge technologies such as machine learning, artificial intelligence, and data science. His expertise lies in the development of predictive analytics models, neural networks, and advanced algorithms for solving complex problems in various domains. Through his research endeavors, Dr. Ramana aims to harness the power of ML and AI to address real-world challenges and drive innovation in areas such as computer vision, natural language processing, and intelligent decision-making systems.

Machine Learning (ML) is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to learn and improve from experience without being explicitly programmed. Applications of ML span various domains, including computer vision, natural language processing, speech recognition, healthcare, finance, and many more.

Accolades and Recognition

His contributions to the field of computer science and engineering have earned him recognition and accolades throughout his career. He has secured the State First place in Debate competition conducted by the Government of Andhra Pradesh and the District First place in GK test conducted by the Government of India. Additionally, his participation in various professional development programs, workshops, and conferences highlights his commitment to continuous learning and professional growth.

As the field continues to evolve, researchers and practitioners are constantly developing new algorithms and techniques to push the boundaries of what is possible with ML, driving innovation and shaping the future of AI and data science. With the advent of big data and advancements in computational power, ML has become an essential tool for extracting valuable insights from large datasets and making data-driven decisions.

Impact and Influence

His research and professional endeavors have had a significant impact on the field of computer science and engineering, particularly in the domains of ML, AI, and data science. His contributions to teaching, research, and industry have inspired countless students and professionals to explore the vast potential of these emerging technologies. Through his mentorship, Dr. Ramana has nurtured the next generation of computer scientists and engineers, imparting valuable knowledge and skills that will shape the future of the industry.

Legacy and Future Contributions

As he continues to make strides in the field of computer science and engineering, his legacy lies in his dedication to excellence, innovation, and mentorship. Through his research, teaching, and industry experience, he aims to advance the frontiers of ML, AI, and data science, driving transformative change and creating new opportunities for technological advancement. His future contributions hold the promise of furthering our understanding of these cutting-edge technologies and their applications in solving some of the world's most pressing challenges.

Notable Publications