Vikrant Bhateja is an associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as the head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in Bio-Medical Imaging (ECE) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals, and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as a publication/TPC chair and edited 55 book volumes from Springer Nature as a corresponding/co-editor/author on date. He has delivered nearly 25 keynotes, invited talks in international conferences, ATAL, TEQIP, and other AICTE sponsored FDPs and STTPs. Xin-She Yang is a reader in Modelling and Simulation as well as Optimization at Middlesex University London, with more than 25 years’ experience in teaching and research. He got his D.Phil. in Applied Mathematics from Mathematical Institute, University of Oxford, in 1998. He then worked at Cambridge University Engineering Department and later as a senior research scientist at Mathematics and Scientific Computing Division of UK’s National Physical Laboratory. He is also an elected fellow of the Institute of Mathematics and its Applications (2021), fellow of Asian Computational Intelligence Society (2023), and fellow of Soft Computing Research Society (2025). He is the co-editor for Springer’s book series: Springer Tracts in Nature-Inspired Computing and has been on editorial boards of multiple international journals, such as Engineering Applications of Artificial Intelligence (Elsevier) and Journal of Computational Science (Elsevier). He is also a member of the UKRI Talent Peer Review College. Wendy Flores-Fuentes received the master’s degree in engineering from Technological Institute of Mexicali in 2006 and the Ph.D. degree in science, applied physics, with emphasis on Optoelectronic Scanning Systems for SHM, from Autonomous University of Baja California in June 2014. She has more than 115 publications which include journal articles in Elsevier, IEEE Emerald and Springer, book chapters and books in Intech, IGI global and Springer, proceedings articles in IEEE. She has been a panel reviewer of Taylor and Francis, IEEE, Elsevier, and EEMJ (Gh. Asachi Technical University of Iasi). Currently, she is a full-time professor-researcher at Universidad Autónoma de Baja California at the Faculty of Engineering. Paladuga Satish Rama Chowdary is currently serving as the vice principal and head, Department of Electronics & Communication Engineering, Raghu Institute of Technology, Visakhapatnam. He obtained his M.E. from Andhra University and Ph.D. from Department of ECE, JNTUK Kakinada, in the field of Fractal Antennas. He currently holds the position of Executive Committee Member of IEEE Vizag Bay Section. He has 20 years of professional experience. His research interests are computational electromagnetics, fractal antennas, and image processing. He has published two patents in the field of IoT and ML. He had published 40 journal and conference papers indexed by SCOPUS and SCIE. He co-edited proceedings of third and fifth ICMEET Conferences. He has also chaired several technical and special sessions in international conferences like FICTA, Soft Computing Informatics, ICMEET-2017, IC3T. He is a senior member of IEEE, life member of Instrument Society of India, ICSES, and Soft Computing Research Society.

• A Real-Time IoE-Based Smart Cart System for Intelligent Price Monitoring and Checkout Optimization.- Preliminary Automated AI based Detection of Diabetic Retinopathy using fundus images.- Automating De Novo Protein Design via LLM-Based Multi-Agent Systems.- Artificial Consciousness: Integrating Human Intuition and Emotional Intelligence into Machine Cognition.- Empowering Non-Clinical Female Personnel Through Breast Self-Examination Training: A One-Group Pretest-Posttest Evaluation.- Hypnobirthing in Labor Pain Relief: An Assessment of Nursing Officers’ Knowledge and Attitude.- Acoustic Detection of Burglary-Related Tool Usage: A Sound Event Detection Approach for Security Applications.- Bridging Gaps: Addressing Challenges in NGO Resource Management.- Empowering Vision: Smart Glasses for the Visually Impaired Community.- Garbeye – Indian street garbage detection using YOLOv8.- Design and Implementation of Compact Arithmetic Circuits for Next-Generation Embedded Systems Using Quantum-Dot Cellular Automata Nanotechnology.- Knowledge Graph-Driven Multi-Agent Framework for Contextual Data Reasoning and Decision Support in Agriculture.- Enhancing Film Selections: NLP-Powered Movie Recommendation with Word2Vec.- Currency Detection For Visually Impaired.- Smart Mental Health Chatbot: BERT-Enhanced NLP for Personalized Treatment.- Toward Secure and Usable Communication-Centric Authorization Models for Smart Homes.- A Secure Optimized Bi-GRU-Based Attacker Detection Model Using Grey Wolf Optimizer.- Neural Network-Based Control Framework for Real-Time Ambient Temperature and Humidity Stabilization.- Robotic Process Automation in Healthcare: Advancing Operational Efficiency with Ethical Safeguards.- Supply Chain Disruptions: Machine Learning Techniques for the Global Value Chains and Economics Resilience.- Machine Learning Based Insights into the Pedagogical Shifts in the STEM Education: From Rote Learning to Critical Thinking.

Vikrant Bhateja is an associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as the head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in Bio-Medical Imaging (ECE) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals, and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as a publication/TPC chair and edited 55 book volumes from Springer Nature as a corresponding/co-editor/author on date. He has delivered nearly 25 keynotes, invited talks in international conferences, ATAL, TEQIP, and other AICTE sponsored FDPs and STTPs. Xin-She Yang is a reader in Modelling and Simulation as well as Optimization at Middlesex University London, with more than 25 years’ experience in teaching and research. He got his D.Phil. in Applied Mathematics from Mathematical Institute, University of Oxford, in 1998. He then worked at Cambridge University Engineering Department and later as a senior research scientist at Mathematics and Scientific Computing Division of UK’s National Physical Laboratory. He is also an elected fellow of the Institute of Mathematics and its Applications (2021), fellow of Asian Computational Intelligence Society (2023), and fellow of Soft Computing Research Society (2025). He is the co-editor for Springer’s book series: Springer Tracts in Nature-Inspired Computing and has been on editorial boards of multiple international journals, such as Engineering Applications of Artificial Intelligence (Elsevier) and Journal of Computational Science (Elsevier). He is also a member of the UKRI Talent Peer Review College. Wendy Flores-Fuentes received the master’s degree in engineering from Technological Institute of Mexicali in 2006 and the Ph.D. degree in science, applied physics, with emphasis on Optoelectronic Scanning Systems for SHM, from Autonomous University of Baja California in June 2014. She has more than 115 publications which include journal articles in Elsevier, IEEE Emerald and Springer, book chapters and books in Intech, IGI global and Springer, proceedings articles in IEEE. She has been a panel reviewer of Taylor and Francis, IEEE, Elsevier, and EEMJ (Gh. Asachi Technical University of Iasi). Currently, she is a full-time professor-researcher at Universidad Autónoma de Baja California at the Faculty of Engineering. Paladuga Satish Rama Chowdary is currently serving as the vice principal and head, Department of Electronics & Communication Engineering, Raghu Institute of Technology, Visakhapatnam. He obtained his M.E. from Andhra University and Ph.D. from Department of ECE, JNTUK Kakinada, in the field of Fractal Antennas. He currently holds the position of Executive Committee Member of IEEE Vizag Bay Section. He has 20 years of professional experience. His research interests are computational electromagnetics, fractal antennas, and image processing. He has published two patents in the field of IoT and ML. He had published 40 journal and conference papers indexed by SCOPUS and SCIE. He co-edited proceedings of third and fifth ICMEET Conferences. He has also chaired several technical and special sessions in international conferences like FICTA, Soft Computing Informatics, ICMEET-2017, IC3T. He is a senior member of IEEE, life member of Instrument Society of India, ICSES, and Soft Computing Research Society.

• A Real-Time IoE-Based Smart Cart System for Intelligent Price Monitoring and Checkout Optimization.- Preliminary Automated AI based Detection of Diabetic Retinopathy using fundus images.- Automating De Novo Protein Design via LLM-Based Multi-Agent Systems.- Artificial Consciousness: Integrating Human Intuition and Emotional Intelligence into Machine Cognition.- Empowering Non-Clinical Female Personnel Through Breast Self-Examination Training: A One-Group Pretest-Posttest Evaluation.- Hypnobirthing in Labor Pain Relief: An Assessment of Nursing Officers’ Knowledge and Attitude.- Acoustic Detection of Burglary-Related Tool Usage: A Sound Event Detection Approach for Security Applications.- Bridging Gaps: Addressing Challenges in NGO Resource Management.- Empowering Vision: Smart Glasses for the Visually Impaired Community.- Garbeye – Indian street garbage detection using YOLOv8.- Design and Implementation of Compact Arithmetic Circuits for Next-Generation Embedded Systems Using Quantum-Dot Cellular Automata Nanotechnology.- Knowledge Graph-Driven Multi-Agent Framework for Contextual Data Reasoning and Decision Support in Agriculture.- Enhancing Film Selections: NLP-Powered Movie Recommendation with Word2Vec.- Currency Detection For Visually Impaired.- Smart Mental Health Chatbot: BERT-Enhanced NLP for Personalized Treatment.- Toward Secure and Usable Communication-Centric Authorization Models for Smart Homes.- A Secure Optimized Bi-GRU-Based Attacker Detection Model Using Grey Wolf Optimizer.- Neural Network-Based Control Framework for Real-Time Ambient Temperature and Humidity Stabilization.- Robotic Process Automation in Healthcare: Advancing Operational Efficiency with Ethical Safeguards.- Supply Chain Disruptions: Machine Learning Techniques for the Global Value Chains and Economics Resilience.- Machine Learning Based Insights into the Pedagogical Shifts in the STEM Education: From Rote Learning to Critical Thinking.

Vikrant Bhateja is an associate professor in Department of Electronics Engineering, Faculty of Engineering and Technology (UNSIET), Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, India. He is also serving as the head: Computer Sc. Engg. & Information Technology in the same university. He holds a doctorate in Bio-Medical Imaging (ECE) with a total academic teaching experience of 21 years with around 190 publications in reputed international conferences, journals, and online book chapter contributions; out of which 40 papers are published in SCIE indexed high impact factored journals. He has been instrumental in chairing/co-chairing around 30 international conferences in India and abroad as a publication/TPC chair and edited 55 book volumes from Springer Nature as a corresponding/co-editor/author on date. He has delivered nearly 25 keynotes, invited talks in international conferences, ATAL, TEQIP, and other AICTE sponsored FDPs and STTPs. Xin-She Yang is a reader in Modelling and Simulation as well as Optimization at Middlesex University London, with more than 25 years’ experience in teaching and research. He got his D.Phil. in Applied Mathematics from Mathematical Institute, University of Oxford, in 1998. He then worked at Cambridge University Engineering Department and later as a senior research scientist at Mathematics and Scientific Computing Division of UK’s National Physical Laboratory. He is also an elected fellow of the Institute of Mathematics and its Applications (2021), fellow of Asian Computational Intelligence Society (2023), and fellow of Soft Computing Research Society (2025). He is the co-editor for Springer’s book series: Springer Tracts in Nature-Inspired Computing and has been on editorial boards of multiple international journals, such as Engineering Applications of Artificial Intelligence (Elsevier) and Journal of Computational Science (Elsevier). He is also a member of the UKRI Talent Peer Review College. Wendy Flores-Fuentes received the master’s degree in engineering from Technological Institute of Mexicali in 2006 and the Ph.D. degree in science, applied physics, with emphasis on Optoelectronic Scanning Systems for SHM, from Autonomous University of Baja California in June 2014. She has more than 115 publications which include journal articles in Elsevier, IEEE Emerald and Springer, book chapters and books in Intech, IGI global and Springer, proceedings articles in IEEE. She has been a panel reviewer of Taylor and Francis, IEEE, Elsevier, and EEMJ (Gh. Asachi Technical University of Iasi). Currently, she is a full-time professor-researcher at Universidad Autónoma de Baja California at the Faculty of Engineering. Paladuga Satish Rama Chowdary is currently serving as the vice principal and head, Department of Electronics & Communication Engineering, Raghu Institute of Technology, Visakhapatnam. He obtained his M.E. from Andhra University and Ph.D. from Department of ECE, JNTUK Kakinada, in the field of Fractal Antennas. He currently holds the position of Executive Committee Member of IEEE Vizag Bay Section. He has 20 years of professional experience. His research interests are computational electromagnetics, fractal antennas, and image processing. He has published two patents in the field of IoT and ML. He had published 40 journal and conference papers indexed by SCOPUS and SCIE. He co-edited proceedings of third and fifth ICMEET Conferences. He has also chaired several technical and special sessions in international conferences like FICTA, Soft Computing Informatics, ICMEET-2017, IC3T. He is a senior member of IEEE, life member of Instrument Society of India, ICSES, and Soft Computing Research Society.

• A Real-Time IoE-Based Smart Cart System for Intelligent Price Monitoring and Checkout Optimization.- Preliminary Automated AI based Detection of Diabetic Retinopathy using fundus images.- Automating De Novo Protein Design via LLM-Based Multi-Agent Systems.- Artificial Consciousness: Integrating Human Intuition and Emotional Intelligence into Machine Cognition.- Empowering Non-Clinical Female Personnel Through Breast Self-Examination Training: A One-Group Pretest-Posttest Evaluation.- Hypnobirthing in Labor Pain Relief: An Assessment of Nursing Officers’ Knowledge and Attitude.- Acoustic Detection of Burglary-Related Tool Usage: A Sound Event Detection Approach for Security Applications.- Bridging Gaps: Addressing Challenges in NGO Resource Management.- Empowering Vision: Smart Glasses for the Visually Impaired Community.- Garbeye – Indian street garbage detection using YOLOv8.- Design and Implementation of Compact Arithmetic Circuits for Next-Generation Embedded Systems Using Quantum-Dot Cellular Automata Nanotechnology.- Knowledge Graph-Driven Multi-Agent Framework for Contextual Data Reasoning and Decision Support in Agriculture.- Enhancing Film Selections: NLP-Powered Movie Recommendation with Word2Vec.- Currency Detection For Visually Impaired.- Smart Mental Health Chatbot: BERT-Enhanced NLP for Personalized Treatment.- Toward Secure and Usable Communication-Centric Authorization Models for Smart Homes.- A Secure Optimized Bi-GRU-Based Attacker Detection Model Using Grey Wolf Optimizer.- Neural Network-Based Control Framework for Real-Time Ambient Temperature and Humidity Stabilization.- Robotic Process Automation in Healthcare: Advancing Operational Efficiency with Ethical Safeguards.- Supply Chain Disruptions: Machine Learning Techniques for the Global Value Chains and Economics Resilience.- Machine Learning Based Insights into the Pedagogical Shifts in the STEM Education: From Rote Learning to Critical Thinking.