Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and Kyushu University, Japan, respectively. His research interests encompass various kinds of logic and their applications to Computer Science, especially paraconsistent annotated logic programs and their applications. He has developed some paraconsistent annotated logic programs called ALPSN (Annotated Logic Program with Strong Negation), VALPSN (Vector ALPSN), EVALPSN (Extended VALPSN) and bf-EVALPSN (before-after EVALPSN) recently, and applied them to various intelligent systems such as a safety verification based railway interlocking control system and process order control. He is an author of over 180 papers and 30 book chapters and 20 edited books published by prominent publishers. Kazumi Nakamatsu has chaired various international conferences, workshops, and invited sessions, and he has been a member of numerous international program committees of workshops and conferences in the area of Computer Science. He has served as the editor-in-chief of the International Journal of Reasoning-based Intelligent Systems(IJRIS); he is now the founding editor of IJRIS and an editorial board member of many international journals. He has contributed numerous invited lectures at international workshops, conferences, and academic organizations. He also is a recipient of numerous research paper awards.Prof. Srikanta Patnaik is now working as the Director of Interscience Institute of Management & Technology, Bhubaneswar, Odisha, India. He has supervised more than 30 Ph. D. Theses and 100 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 3 text books and edited more than 100 books and few invited book chapters, published by leading international publisher like IEEE, Elsevier, Springer-Verlag, Kluwer Academic, IOS Press and SPIE. Dr. SrikantaPatnaik is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and, Editor of Journal of Information and Communication Convegence Engineering and Associate Editor of Journal of Intelligent and Fuzzy Systems (JIFS).  He is also Editors-in-Chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany. He is also Fellow of IETE, Life Member of ISTE, and CSI. Prof. Roumen Kountchev Ph.D., D.Sc. is a professor at the Faculty of Telecommunications, Dept. of Radio Communications and Video Technologies, Technical University of Sofia, Bulgaria. His areas of interests are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 350 papers published in magazines and proceedings of conferences; 20 books; 47 book chapters; and 21 patents. He had been a principle investigator of 38 research projects. At present, he is a member of Euro Mediterranean Academy of Arts and Sciences and President of Bulgarian Association for Pattern Recognition (member of Intern. Association for Pattern Recognition). He is an editorial board member of: Intern. J. of Reasoning-based Intelligent Systems; Intern. J. Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science J.; Intern. J. of Bio-Medical Informatics and e-Health, and Intern. J. Intelligent Decision Technologies. He has been a plenary speaker at: WSEAS Intern. Conf. on Signal Processing, 2009, Istanbul, Turkey; WSEAS Intern. Conf. on Signal Processing, Robotics and Automation, University of Cambridge 2010, UK; WSEAS Intern. Conf. on Signal Processing, Computational Geometry and Artificial Vision 2012, Istanbul, Turkey; Intern. Workshop on Bioinformatics, Medical Informatics and e-Health 2013, Ain Shams University, Cairo, Egypt; Workshop SCCIBOV 2015, Djillali Liabes University, Sidi Bel Abbes, Algeria; Intern. Conf. on Information Technology 2015 and 2017, Al Zayatoonah University, Amman, Jordan; WSEAS European Conf. of Computer Science 2016, Rome, Italy; The 9th Intern. Conf. on Circuits, Systems and Signals, London, UK, 2017; IEEE Intern. Conf. on High Technology for Sustainable Development 2018 and 2019, Sofia, Bulgaria; The 8th Intern. Congress of Information and Communication Technology, Xiamen, China, 2018; General chair of the Intern. Workshop New Approaches for Multidimensional Signal Processing, July 2020, Sofia, Bulgaria.

• A Model for Predicting Crime Risk.- Early Detection of Red Palm Weevil in Date Palm Trees using Machine Learning Approaches.- Unstructured text classification using NLP and LSTM algorithms.- Regression Based Model for Prediction of Road Traffic Congestion: A Case  Study of Janpath Segment In Bhubaneswar City.- Automated Landmark Detection for AR Based Craniofacial Surgical Assistance System.- The Influence of Eye-Height and Body Posture on Size Perception in Virtual Reality.- The Effect of Distance on Audiovisual Temporal Integration in an Indoor Virtual Environment.- Inside the Black Box: Modeling a Cybersickness Dose Value through Built-In Sensors of Head-Mounted Displays.- Measuring Audio-Visual Latencies in Virtual Reality Systems.- Development of Virtual CNC Turning Application.- Enhancing Elderly Leisure Experience through Innovative VTuber Interaction in VR with ChatGPT.- Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User-Centric Evaluation of Immersion and Realism.- Application of Lightweight Image Super-Resolution Technology in Smart Grid Management System.- Research on Portable Intelligent System Based on Lightweight Super-resolved Image Recognition Algorithm.- Research on Intelligent Fault Identification Method Based on UAV Power Inspection.- Lightweight Real-time Intelligent Inspection System for Digital Transmission Security.- Boosting Video Streaming Efficiency through DQN Machine Learning algorithm-based Resource Allocation.- Locomotion in Response of Static Pedestrians in a Mixed Reality Environment.- Neural Responses to Altered Visual Feedback in Computerized Interfaces Driven by Force or Motion Control.- KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art.- A Study on the Integration of BIM and Mixed Reality in Steel-structure Maintenance.- Pathway-based Analysis using SVM-RFE for Gene Selection and Classification.- An AI-Assisted Skincare Routine Recommendation System in XR.- TheRole of Artificial Intelligence in Improving Failure Mode and Effects Analysis (FMEA) Efficiency in Construction Safety Management.- Rescue Decision Support for Marine Wrecked Ships Based on Multi-agent Modeling and Simulation.- Development of an AI-Powered Interactive Hand Rehabilitation System.- Formalization and Verification of Fuzzy Approximate Reasoning by Mizar.

Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and Kyushu University, Japan, respectively. His research interests encompass various kinds of logic and their applications to Computer Science, especially paraconsistent annotated logic programs and their applications. He has developed some paraconsistent annotated logic programs called ALPSN (Annotated Logic Program with Strong Negation), VALPSN (Vector ALPSN), EVALPSN (Extended VALPSN) and bf-EVALPSN (before-after EVALPSN) recently, and applied them to various intelligent systems such as a safety verification based railway interlocking control system and process order control. He is an author of over 180 papers and 30 book chapters and 20 edited books published by prominent publishers. Kazumi Nakamatsu has chaired various international conferences, workshops, and invited sessions, and he has been a member of numerous international program committees of workshops and conferences in the area of Computer Science. He has served as the editor-in-chief of the International Journal of Reasoning-based Intelligent Systems(IJRIS); he is now the founding editor of IJRIS and an editorial board member of many international journals. He has contributed numerous invited lectures at international workshops, conferences, and academic organizations. He also is a recipient of numerous research paper awards.Prof. Srikanta Patnaik is now working as the Director of Interscience Institute of Management & Technology, Bhubaneswar, Odisha, India. He has supervised more than 30 Ph. D. Theses and 100 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 3 text books and edited more than 100 books and few invited book chapters, published by leading international publisher like IEEE, Elsevier, Springer-Verlag, Kluwer Academic, IOS Press and SPIE. Dr. SrikantaPatnaik is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and, Editor of Journal of Information and Communication Convegence Engineering and Associate Editor of Journal of Intelligent and Fuzzy Systems (JIFS).  He is also Editors-in-Chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany. He is also Fellow of IETE, Life Member of ISTE, and CSI. Prof. Roumen Kountchev Ph.D., D.Sc. is a professor at the Faculty of Telecommunications, Dept. of Radio Communications and Video Technologies, Technical University of Sofia, Bulgaria. His areas of interests are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 350 papers published in magazines and proceedings of conferences; 20 books; 47 book chapters; and 21 patents. He had been a principle investigator of 38 research projects. At present, he is a member of Euro Mediterranean Academy of Arts and Sciences and President of Bulgarian Association for Pattern Recognition (member of Intern. Association for Pattern Recognition). He is an editorial board member of: Intern. J. of Reasoning-based Intelligent Systems; Intern. J. Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science J.; Intern. J. of Bio-Medical Informatics and e-Health, and Intern. J. Intelligent Decision Technologies. He has been a plenary speaker at: WSEAS Intern. Conf. on Signal Processing, 2009, Istanbul, Turkey; WSEAS Intern. Conf. on Signal Processing, Robotics and Automation, University of Cambridge 2010, UK; WSEAS Intern. Conf. on Signal Processing, Computational Geometry and Artificial Vision 2012, Istanbul, Turkey; Intern. Workshop on Bioinformatics, Medical Informatics and e-Health 2013, Ain Shams University, Cairo, Egypt; Workshop SCCIBOV 2015, Djillali Liabes University, Sidi Bel Abbes, Algeria; Intern. Conf. on Information Technology 2015 and 2017, Al Zayatoonah University, Amman, Jordan; WSEAS European Conf. of Computer Science 2016, Rome, Italy; The 9th Intern. Conf. on Circuits, Systems and Signals, London, UK, 2017; IEEE Intern. Conf. on High Technology for Sustainable Development 2018 and 2019, Sofia, Bulgaria; The 8th Intern. Congress of Information and Communication Technology, Xiamen, China, 2018; General chair of the Intern. Workshop New Approaches for Multidimensional Signal Processing, July 2020, Sofia, Bulgaria.

• A Model for Predicting Crime Risk.- Early Detection of Red Palm Weevil in Date Palm Trees using Machine Learning Approaches.- Unstructured text classification using NLP and LSTM algorithms.- Regression Based Model for Prediction of Road Traffic Congestion: A Case  Study of Janpath Segment In Bhubaneswar City.- Automated Landmark Detection for AR Based Craniofacial Surgical Assistance System.- The Influence of Eye-Height and Body Posture on Size Perception in Virtual Reality.- The Effect of Distance on Audiovisual Temporal Integration in an Indoor Virtual Environment.- Inside the Black Box: Modeling a Cybersickness Dose Value through Built-In Sensors of Head-Mounted Displays.- Measuring Audio-Visual Latencies in Virtual Reality Systems.- Development of Virtual CNC Turning Application.- Enhancing Elderly Leisure Experience through Innovative VTuber Interaction in VR with ChatGPT.- Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User-Centric Evaluation of Immersion and Realism.- Application of Lightweight Image Super-Resolution Technology in Smart Grid Management System.- Research on Portable Intelligent System Based on Lightweight Super-resolved Image Recognition Algorithm.- Research on Intelligent Fault Identification Method Based on UAV Power Inspection.- Lightweight Real-time Intelligent Inspection System for Digital Transmission Security.- Boosting Video Streaming Efficiency through DQN Machine Learning algorithm-based Resource Allocation.- Locomotion in Response of Static Pedestrians in a Mixed Reality Environment.- Neural Responses to Altered Visual Feedback in Computerized Interfaces Driven by Force or Motion Control.- KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art.- A Study on the Integration of BIM and Mixed Reality in Steel-structure Maintenance.- Pathway-based Analysis using SVM-RFE for Gene Selection and Classification.- An AI-Assisted Skincare Routine Recommendation System in XR.- TheRole of Artificial Intelligence in Improving Failure Mode and Effects Analysis (FMEA) Efficiency in Construction Safety Management.- Rescue Decision Support for Marine Wrecked Ships Based on Multi-agent Modeling and Simulation.- Development of an AI-Powered Interactive Hand Rehabilitation System.- Formalization and Verification of Fuzzy Approximate Reasoning by Mizar.

Kazumi Nakamatsu received the Ms. Eng. and Dr. Sci. from Shizuoka University and Kyushu University, Japan, respectively. His research interests encompass various kinds of logic and their applications to Computer Science, especially paraconsistent annotated logic programs and their applications. He has developed some paraconsistent annotated logic programs called ALPSN (Annotated Logic Program with Strong Negation), VALPSN (Vector ALPSN), EVALPSN (Extended VALPSN) and bf-EVALPSN (before-after EVALPSN) recently, and applied them to various intelligent systems such as a safety verification based railway interlocking control system and process order control. He is an author of over 180 papers and 30 book chapters and 20 edited books published by prominent publishers. Kazumi Nakamatsu has chaired various international conferences, workshops, and invited sessions, and he has been a member of numerous international program committees of workshops and conferences in the area of Computer Science. He has served as the editor-in-chief of the International Journal of Reasoning-based Intelligent Systems(IJRIS); he is now the founding editor of IJRIS and an editorial board member of many international journals. He has contributed numerous invited lectures at international workshops, conferences, and academic organizations. He also is a recipient of numerous research paper awards.Prof. Srikanta Patnaik is now working as the Director of Interscience Institute of Management & Technology, Bhubaneswar, Odisha, India. He has supervised more than 30 Ph. D. Theses and 100 Master theses in the area of Computational Intelligence, Machine Learning, Soft Computing Applications and Re-Engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is author of 3 text books and edited more than 100 books and few invited book chapters, published by leading international publisher like IEEE, Elsevier, Springer-Verlag, Kluwer Academic, IOS Press and SPIE. Dr. SrikantaPatnaik is the Editors-in-Chief of International Journal of Information and Communication Technology and International Journal of Computational Vision and Robotics published from Inderscience Publishing House, England and, Editor of Journal of Information and Communication Convegence Engineering and Associate Editor of Journal of Intelligent and Fuzzy Systems (JIFS).  He is also Editors-in-Chief of Book Series on “Modeling and Optimization in Science and Technology” published from Springer, Germany. He is also Fellow of IETE, Life Member of ISTE, and CSI. Prof. Roumen Kountchev Ph.D., D.Sc. is a professor at the Faculty of Telecommunications, Dept. of Radio Communications and Video Technologies, Technical University of Sofia, Bulgaria. His areas of interests are digital signal and image processing, image compression, multimedia watermarking, video communications, pattern recognition and neural networks. Prof. Kountchev has 350 papers published in magazines and proceedings of conferences; 20 books; 47 book chapters; and 21 patents. He had been a principle investigator of 38 research projects. At present, he is a member of Euro Mediterranean Academy of Arts and Sciences and President of Bulgarian Association for Pattern Recognition (member of Intern. Association for Pattern Recognition). He is an editorial board member of: Intern. J. of Reasoning-based Intelligent Systems; Intern. J. Broad Research in Artificial Intelligence and Neuroscience; KES Focus Group on Intelligent Decision Technologies; Egyptian Computer Science J.; Intern. J. of Bio-Medical Informatics and e-Health, and Intern. J. Intelligent Decision Technologies. He has been a plenary speaker at: WSEAS Intern. Conf. on Signal Processing, 2009, Istanbul, Turkey; WSEAS Intern. Conf. on Signal Processing, Robotics and Automation, University of Cambridge 2010, UK; WSEAS Intern. Conf. on Signal Processing, Computational Geometry and Artificial Vision 2012, Istanbul, Turkey; Intern. Workshop on Bioinformatics, Medical Informatics and e-Health 2013, Ain Shams University, Cairo, Egypt; Workshop SCCIBOV 2015, Djillali Liabes University, Sidi Bel Abbes, Algeria; Intern. Conf. on Information Technology 2015 and 2017, Al Zayatoonah University, Amman, Jordan; WSEAS European Conf. of Computer Science 2016, Rome, Italy; The 9th Intern. Conf. on Circuits, Systems and Signals, London, UK, 2017; IEEE Intern. Conf. on High Technology for Sustainable Development 2018 and 2019, Sofia, Bulgaria; The 8th Intern. Congress of Information and Communication Technology, Xiamen, China, 2018; General chair of the Intern. Workshop New Approaches for Multidimensional Signal Processing, July 2020, Sofia, Bulgaria.

• A Model for Predicting Crime Risk.- Early Detection of Red Palm Weevil in Date Palm Trees using Machine Learning Approaches.- Unstructured text classification using NLP and LSTM algorithms.- Regression Based Model for Prediction of Road Traffic Congestion: A Case  Study of Janpath Segment In Bhubaneswar City.- Automated Landmark Detection for AR Based Craniofacial Surgical Assistance System.- The Influence of Eye-Height and Body Posture on Size Perception in Virtual Reality.- The Effect of Distance on Audiovisual Temporal Integration in an Indoor Virtual Environment.- Inside the Black Box: Modeling a Cybersickness Dose Value through Built-In Sensors of Head-Mounted Displays.- Measuring Audio-Visual Latencies in Virtual Reality Systems.- Development of Virtual CNC Turning Application.- Enhancing Elderly Leisure Experience through Innovative VTuber Interaction in VR with ChatGPT.- Assessing the Utility of GAN-Generated 3D Virtual Desert Terrain: A User-Centric Evaluation of Immersion and Realism.- Application of Lightweight Image Super-Resolution Technology in Smart Grid Management System.- Research on Portable Intelligent System Based on Lightweight Super-resolved Image Recognition Algorithm.- Research on Intelligent Fault Identification Method Based on UAV Power Inspection.- Lightweight Real-time Intelligent Inspection System for Digital Transmission Security.- Boosting Video Streaming Efficiency through DQN Machine Learning algorithm-based Resource Allocation.- Locomotion in Response of Static Pedestrians in a Mixed Reality Environment.- Neural Responses to Altered Visual Feedback in Computerized Interfaces Driven by Force or Motion Control.- KP-RNN: A Deep Learning Pipeline for Human Motion Prediction and Synthesis of Performance Art.- A Study on the Integration of BIM and Mixed Reality in Steel-structure Maintenance.- Pathway-based Analysis using SVM-RFE for Gene Selection and Classification.- An AI-Assisted Skincare Routine Recommendation System in XR.- TheRole of Artificial Intelligence in Improving Failure Mode and Effects Analysis (FMEA) Efficiency in Construction Safety Management.- Rescue Decision Support for Marine Wrecked Ships Based on Multi-agent Modeling and Simulation.- Development of an AI-Powered Interactive Hand Rehabilitation System.- Formalization and Verification of Fuzzy Approximate Reasoning by Mizar.