Aditya Mishra, Ph.D., is a Lithography and Device Integration Yield Engineer at Intel Corporation in Oregon, USA. He received his Ph.D. from the University of Texas at Dallas. Dr. Mishra has authored numerous peer-reviewed publications in the field of optoelectronics and semiconductor technology, with his work appearing in prestigious, highly-cited academic journals. In recognition of his significant contributions to perovskite-based optoelectronic device research, he was awarded the SPIE Fellowship in 2022. His technical expertise includes CMOS Semiconductor Process Integration, electron beam metrology, electron beam lithography, and failure analysis methodologies.Yogesh Kumar Rathore, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He completed his Ph.D. in Information Technology from the National Institute of Technology, Raipur.  Before that, he completed his M. Tech. from Chhattisgarh Swami Vivekanand Technical University and his B. Eng. from Pt. Ravishankar Shukla University. He has published two edited books, contributed chapters to internationally edited books, and authored a textbook on data mining. Dr. Rathore has also been involved in patenting with three Indian patents published and two USA-granted patents, showcasing his expertise in the field of computer science engineering.Suman Kumar Swanrkar, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He received his Ph.D. (CSE) from Kalinga University, Nayaraipur and his M.Tech. (CSE) from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has contributed to book chapters published by Elsevier and Springer and is a member of IEEE, IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOP, IAOIP, EAI, and CSTA.  Dr. Swanrkar’s research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.

• Integration of Artificial Intelligence into Unique Applications: Exploring Novel Use Cases of AI Across Sectors.- Quantum Machine Learning in the Discovery of Multifunctional Materials:Fusing Quantum Computing with AI to Advance Material Science.- Advanced Computational Design of Semiconductors for Emerging Technologies:AI-Driven Design for Next-Gen Semiconductor Devices.- Current Challenges of Virtual Metrology in the Production Industry:AI for Measurement and Quality Control in Manufacturing.- Go Green AI:Exploration of AI impact on Climate and Energy.- Enhancing the Efficiency of the Oil and Gas Industry with AI: Digital Transformation of Oil and Gas Using AI.- Role of Artificial Intelligence in Preventive Healthcare:Proactive Health Monitoring and Diagnosis with AI.- On-Device Deployment of AI:Bringing AI to Edge Devices for Real-Time Applications.- AI Theory in Business Decision-Making:Strategic and Operational Decisions Powered by AI.- Enhancing User Experience on AR/VR Devices Using AI:Personalized and Immersive Digital Environments with AI.

Aditya Mishra, Ph.D., is a Lithography and Device Integration Yield Engineer at Intel Corporation in Oregon, USA. He received his Ph.D. from the University of Texas at Dallas. Dr. Mishra has authored numerous peer-reviewed publications in the field of optoelectronics and semiconductor technology, with his work appearing in prestigious, highly-cited academic journals. In recognition of his significant contributions to perovskite-based optoelectronic device research, he was awarded the SPIE Fellowship in 2022. His technical expertise includes CMOS Semiconductor Process Integration, electron beam metrology, electron beam lithography, and failure analysis methodologies.Yogesh Kumar Rathore, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He completed his Ph.D. in Information Technology from the National Institute of Technology, Raipur.  Before that, he completed his M. Tech. from Chhattisgarh Swami Vivekanand Technical University and his B. Eng. from Pt. Ravishankar Shukla University. He has published two edited books, contributed chapters to internationally edited books, and authored a textbook on data mining. Dr. Rathore has also been involved in patenting with three Indian patents published and two USA-granted patents, showcasing his expertise in the field of computer science engineering.Suman Kumar Swanrkar, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He received his Ph.D. (CSE) from Kalinga University, Nayaraipur and his M.Tech. (CSE) from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has contributed to book chapters published by Elsevier and Springer and is a member of IEEE, IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOP, IAOIP, EAI, and CSTA.  Dr. Swanrkar’s research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.

• Integration of Artificial Intelligence into Unique Applications: Exploring Novel Use Cases of AI Across Sectors.- Quantum Machine Learning in the Discovery of Multifunctional Materials:Fusing Quantum Computing with AI to Advance Material Science.- Advanced Computational Design of Semiconductors for Emerging Technologies:AI-Driven Design for Next-Gen Semiconductor Devices.- Current Challenges of Virtual Metrology in the Production Industry:AI for Measurement and Quality Control in Manufacturing.- Go Green AI:Exploration of AI impact on Climate and Energy.- Enhancing the Efficiency of the Oil and Gas Industry with AI: Digital Transformation of Oil and Gas Using AI.- Role of Artificial Intelligence in Preventive Healthcare:Proactive Health Monitoring and Diagnosis with AI.- On-Device Deployment of AI:Bringing AI to Edge Devices for Real-Time Applications.- AI Theory in Business Decision-Making:Strategic and Operational Decisions Powered by AI.- Enhancing User Experience on AR/VR Devices Using AI:Personalized and Immersive Digital Environments with AI.