Optimisation in everything: In AI Perspective
Optimization lies at the heart of Artificial Intelligence (AI), shaping its ability to deliver efficiency, accuracy, and adaptability across diverse domains. From algorithmic design to resource allocation, AI thrives on minimizing redundancy and maximizing performance. In machine learning, optimization governs model training, hyperparameter tuning, and decision-making, ensuring systems learn effectively from data while balancing speed and precision. Beyond technical processes, optimization extends to real-world applications—streamlining healthcare diagnostics, enhancing industrial automation, refining financial forecasting, and personalizing user experiences. The AI perspective emphasizes holistic optimization: not only computational efficiency but also ethical alignment, sustainability, and scalability. By integrating reinforcement learning, evolutionary strategies, and multi-objective optimization, AI systems evolve toward intelligent trade-offs between competing goals. Ultimately, optimization in everything reflects AI’s transformative role in redefining problem-solving, where continuous refinement leads to smarter, fairer, and more sustainable solutions for society.
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Dr. Junali Jasmine Jena of KIIT Deemed to be University Bhubaneswar, Odisha
Optimisation in everything: In AI Perspective
Optimization lies at the heart of Artificial Intelligence (AI), shaping its ability to deliver efficiency, accuracy, and adaptability across diverse domains. From algorithmic design to resource allocation, AI thrives on minimizing redundancy and maximizing performance. In machine learning, optimization governs model training, hyperparameter tuning, and decision-making, ensuring systems learn effectively from data while balancing speed and precision. Beyond technical processes, optimization extends to real-world applications—streamlining healthcare diagnostics, enhancing industrial automation, refining financial forecasting, and personalizing user experiences. The AI perspective emphasizes holistic optimization: not only computational efficiency but also ethical alignment, sustainability, and scalability. By integrating reinforcement learning, evolutionary strategies, and multi-objective optimization, AI systems evolve toward intelligent trade-offs between competing goals. Ultimately, optimization in everything reflects AI’s transformative role in redefining problem-solving, where continuous refinement leads to smarter, fairer, and more sustainable solutions for society.
Biography:
Dr. Junali Jasmine Jena is an accomplished academic and researcher, currently serving as an Assistant Professor at the School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar. With over five years of teaching experience, she has guided undergraduate and postgraduate students in the fields of Computer Science and Information Technology. She earned her B.Tech. in Computer Science from Parala Maharaja Engineering College, Berhampur, followed by an M.Tech. in Computer Science and Engineering from Veer Surendra Sai University of Technology (VSSUT), Burla. She later completed her Ph.D. in Evolutionary Algorithms, contributing significantly to optimization research with seven SCI-indexed publications.
Her research interests span machine learning, soft computing, pattern recognition, evolutionary algorithms, and data analysis, with a strong focus on optimization problems. She has co-authored impactful works on Social Group Optimization algorithms, multi-objective optimization, and applications in engineering design and structural health monitoring.
At KIIT, Dr. Jena is recognized for her dedication to advancing computational intelligence and fostering innovation among students. Her scholarly contributions, combined with her teaching excellence, position her as a dynamic figure in the academic community, committed to bridging theoretical research with practical applications in AI and optimization.
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Address:KIIT ROAD, PATIA, BHUBANESWAR, , KHURDA, Orissa, India, 751024