Hari Mohan Pandey is a professor of data science and artificial intelligence at the School of Technology at Bournemouth University, UK. I am featured in the 2021, 2022, 2023, and 2024 World Ranking list of Top 2% scientists by Sandford University. I am specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning, and computer vision. I am the author of various books in computer science engineering (algorithms, programming, and evolutionary algorithms). Recently, my book entitled “State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. I have published over 150 scientific papers in reputed journals and conferences. I am serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge-Based Systems Elsevier) as action editor, associate editor, and guest editor. I am the reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI, etc. I have delivered expert talks as a keynote and invited speaker. I am a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. I have delivered lecturers in international summer/winter schools. I have been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, the award for completing the INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India, and the award for developing innovative teaching and learning models for higher education. In the past, I worked as a Sr. Lecturer in the Computer Science department at Edge Hill University. I also worked as a research fellow in machine learning at the School of Technology at Middlesex University London where I worked on a European Commission project- DREAM4CARS.

• 1. Introduction and Scientific Goals2. State of the Art: Grammatical Inference3. State of the Art: Genetic Algorithms and Premature Convergence4. Genetic Algorithms and Grammatical Inference5. Performance Analysis of Genetic Algorithm for Grammatical Inference6. Applications of Grammatical Inference Methods and Future Development

Hari Mohan Pandey is a professor of data science and artificial intelligence at the School of Technology at Bournemouth University, UK. I am featured in the 2021, 2022, 2023, and 2024 World Ranking list of Top 2% scientists by Sandford University. I am specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning, and computer vision. I am the author of various books in computer science engineering (algorithms, programming, and evolutionary algorithms). Recently, my book entitled “State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. I have published over 150 scientific papers in reputed journals and conferences. I am serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge-Based Systems Elsevier) as action editor, associate editor, and guest editor. I am the reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI, etc. I have delivered expert talks as a keynote and invited speaker. I am a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. I have delivered lecturers in international summer/winter schools. I have been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, the award for completing the INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India, and the award for developing innovative teaching and learning models for higher education. In the past, I worked as a Sr. Lecturer in the Computer Science department at Edge Hill University. I also worked as a research fellow in machine learning at the School of Technology at Middlesex University London where I worked on a European Commission project- DREAM4CARS.

• 1. Introduction and Scientific Goals2. State of the Art: Grammatical Inference3. State of the Art: Genetic Algorithms and Premature Convergence4. Genetic Algorithms and Grammatical Inference5. Performance Analysis of Genetic Algorithm for Grammatical Inference6. Applications of Grammatical Inference Methods and Future Development

Hari Mohan Pandey is a professor of data science and artificial intelligence at the School of Technology at Bournemouth University, UK. I am featured in the 2021, 2022, 2023, and 2024 World Ranking list of Top 2% scientists by Sandford University. I am specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning, and computer vision. I am the author of various books in computer science engineering (algorithms, programming, and evolutionary algorithms). Recently, my book entitled “State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. I have published over 150 scientific papers in reputed journals and conferences. I am serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge-Based Systems Elsevier) as action editor, associate editor, and guest editor. I am the reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI, etc. I have delivered expert talks as a keynote and invited speaker. I am a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. I have delivered lecturers in international summer/winter schools. I have been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, the award for completing the INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India, and the award for developing innovative teaching and learning models for higher education. In the past, I worked as a Sr. Lecturer in the Computer Science department at Edge Hill University. I also worked as a research fellow in machine learning at the School of Technology at Middlesex University London where I worked on a European Commission project- DREAM4CARS.

• 1. Introduction and Scientific Goals2. State of the Art: Grammatical Inference3. State of the Art: Genetic Algorithms and Premature Convergence4. Genetic Algorithms and Grammatical Inference5. Performance Analysis of Genetic Algorithm for Grammatical Inference6. Applications of Grammatical Inference Methods and Future Development