Vishwash Sharma | Big data | Best Research Award

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.

đź’» 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.

Bhavna Bajpai | Database and Datamining | Women Researcher Award

Dr. Bhavna Bajpai - Database and Datamining - Women Researcher Award 🏆

Dr. C. V. Raman University, Khandwa - India

Professional Profiles

Early Academic Pursuits

She began her academic journey with a Bachelor of Science in Computer Science from Poonam Chand Gupta Vocational College, Khandwa, affiliated with Devi Ahilya Govt. University, Indore (M.P.). She further pursued a Post Graduate Diploma in Computer Application (PGDCA) from the same institution, enhancing her skills in computer science applications. Her passion for learning led her to obtain a Master of Science in Information Technology from Guru Ghasidas University, Bilaspur (C.G.), followed by an M.Phil in Computer Science from Global Open University, Nagaland, and eventually a Ph.D. in Computer Science and Applications from AISECT University, Bhopal (M.P.).

Professional Endeavors

With over 18 years of experience in Information Technology and Computer Science Application departments, she has held various academic positions, starting as an Assistant Professor at IPS Academy, Indore, and later at Shri Dadaji Institute of Technology & Science, Khandwa, where she served for more than a decade. Currently, she holds the position of Associate Professor at Dr. C.V. Raman University, Khandwa, where she also serves as the Dean and IQAC Coordinator. Throughout her career, she has actively engaged in continued learning through conferences and professional research, aiming to stay updated with the latest advancements in her field.

Contributions and Research Focus in Database and Datamining

Her research interests primarily revolve around database management systems and data mining. Her expertise spans areas such as data analysis, machine learning, and pattern recognition. Through her scholarly contributions, Dr. Bajpai has explored innovative approaches to data management and mining, leveraging her insights to address real-world challenges. Her research has focused on enhancing the efficiency and effectiveness of database systems, optimizing data analysis techniques, and developing intelligent algorithms for pattern recognition and machine learning applications. Database and data mining are two interconnected fields crucial in the era of big data. A database is a structured collection of data organized for efficient retrieval, storage, and management.

Accolades and Recognition 

Her dedication and contributions to the field of database and data mining have earned her recognition and accolades. She has been acknowledged for her scholarly achievements through various platforms, including professional awards, citations, and academic affiliations. Her commitment to academic excellence and research innovation has been celebrated within the academic community, reflecting her significant impact on the field.

Impact and Influence

Her work has made a tangible impact on both academia and industry. Her research findings have contributed to advancements in database management systems, data analysis techniques, and machine learning algorithms. By bridging the gap between theory and practice, Dr. Bajpai has facilitated the adoption of data-driven strategies in diverse domains, empowering organizations to harness the power of data for informed decision-making and strategic planning.

Legacy and Future Contributions

As a dedicated educator and researcher, she continues to inspire and mentor future generations of scholars. Her legacy is defined by her passion for learning, her commitment to excellence, and her unwavering pursuit of knowledge. Moving forward, she aims to further her research endeavors, exploring new frontiers in database management systems and data mining. With her expertise and leadership, she remains poised to make significant contributions to the advancement of her field and the empowerment of aspiring researchers in the years to come.

Notable Publications