Assist Prof Dr. Ashima kukkar - Deep Learning - Best Researcher Award 🏆 

Early Academic Pursuits

His academic journey began with a strong passion for Computer Science Engineering. She completed her Bachelor of Technology (B.Tech) in Information and Technology Engineering from Rayat & Bahra College of Engineering & Bio-Technology for Women, Mohali, India. Building upon this foundation, she pursued her Master of Technology (M.Tech) and later completed her Ph.D. in Computer Science Engineering from Jaypee University of Information Technology, Waknaghat, India. Her academic achievements were marked by exceptional performance, reflected in her impressive CGPA and academic accolades.

Professional Endeavors

His professional journey is characterized by a blend of academic pursuits and industry experience. She underwent training in core Java, PHP, and ASP.NET, gaining valuable insights into various programming languages and technologies. Additionally, she actively engaged in research projects, notably contributing to the design and development of 'Anaphora Resolution in Hindi.' This project highlighted her expertise in natural language processing and computational linguistics, demonstrating her ability to apply theoretical knowledge to real-world challenges.

Contributions and Research Focus in Deep Learning

His research interests lie at the intersection of artificial intelligence and natural language processing, with a focus on deep learning techniques. Her doctoral research delved into exploring innovative approaches to anaphora resolution in Hindi, leveraging a hybrid methodology combining rule-based and learning-based techniques. Her contributions in this domain have advanced our understanding of language processing technologies, paving the way for enhanced communication between humans and machines.

Accolades and Recognition

Throughout her academic and professional journey, he has received recognition for her exemplary contributions to the field of computer science and engineering. Her research endeavors have been acknowledged by peers and academic institutions, earning her accolades and awards. Her dedication to advancing knowledge and pushing the boundaries of research in artificial intelligence and natural language processing has garnered respect and admiration from the academic community.

Impact and Influence

His work has made a significant impact on the field of natural language processing and computational linguistics. Her research contributions have not only expanded the theoretical understanding of language processing but also have practical implications for developing intelligent systems capable of understanding and interpreting human language. Her insights and findings have the potential to revolutionize various applications, including machine translation, sentiment analysis, and information retrieval.

Legacy and Future Contributions

Notable Publications

• A novel deep-learning-based bug severity classification technique using convolutional neural networks and random forest with boosting
• Duplicate bug report detection and classification system based on deep learning technique
• A supervised bug report classification with incorporate and textual field knowledge
• Prediction of student academic performance based on their emotional wellbeing and interaction on various e-learning platforms
• Data mining applications in university information management system development
• Machine learning techniques and implementation of different ML algorithms
• Automatic control of computer application data processing system based on artificial intelligence
• Optimizing deep learning model parameters using socially implemented IoMT systems for diabetic retinopathy classification problem