Prof. Shailesh Tiwari, Ph.D. currently works as a Professor and  Director at IMS Engineering College, Ghaziabad, UP, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various engineering problems. He has published more than 100 publications in International Journals and in Proceedings of International Conferences of repute. He has edited special issues of several Scopus, SCI and E-SCI-indexed journals. He has also edited several books published by Springer.  He has published 6 Indian patents as IPRs. He has organized several international conferences under the banner of IEEE, ACM and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society, Fellow of Institution of Engineers (FIE).Dr. Munesh Chandra Trivedi has more than 20 years of experience in the field of Computer Science & Engineering and has worked in Prestigious Institutions. Currently working as Professor (Computer Science), PSSCIVE Bhopal (A Constituent unit of NCERT, Under Ministry of Education, Government of India). He had successfully filed 65 patents (52 National and 13 International Patents (Germany, South Africa, and Australia)), out of which 35 patents were granted. He has published 12 textbooks and 153 research papers in different International Journals and Proceedings of repute. He has also edited 38 books for Springer Nature. He successfully supervised 14 PhD students and received numerous awards, including the Young Scientist Visiting Fellowship, Albert Einstein Research Scientist Award, Best Senior Faculty Award, Outstanding Scientist, Dronacharya Award, Author of the Year, and Vigyan Ratan Award from different national, as well as international forums. He has organized more than 32 international conferences technically sponsored by IEEE, ACM, and Springer.Prof. Mohan L. Kolhe is with the University of Agder (Norway) as full professor in electrical power engineering with focus in smart grid and renewable energy in the Faculty of Engineering and Science. He has also received the offer of full professorship in smart grid from the Norwegian University of Science and Technology (NTNU). He has more than twenty-five years’ academic experience at international level on electrical and renewable energy systems. He is a leading renewable energy technologist and has previously held academic positions at the world's prestigious universities e.g. University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc.Prof. Brajesh Kumar Singh is presently working as Professor and Head in Department of Computer Science and Engineering at Raja Balwant Singh Engineering Technical Campus, Agrawith more than 22 years of Teaching experience. Presently, HisArea of research work is Software Engineering, Software Project Management, Data Mining, Soft Computing, Computer Vision, IoT, and Cloud Computing. He has completed his doctorate degree in Computer Science and Engineering from Motilal Nehru National Institute of Technology, Allahabad, Prayagraj (U.P.). He has supervised 01 Ph.D. candidate from AKTU Lucknow and presently supervising 3 Ph.D. candidates. He has more than 80 publications to his credit in national and international journals and proceedings of high repute with large number of citations of his research manuscripts.

• An Automated Early Lung Cancer Detection Using Convolution Neural Network.- DeepLeaf: A Custom CNN Approach for Mulberry Leaf Classification.- Detecting Polycystic Ovary Syndrome Through Blending Ensemble Method.- Verbatym: Empowering Seamless Communication With Authentic Voice Translation.- Facial Emotion Detection using Artificial Intelligence.- Brain Tumor Detection Using MRI and Deep Learning Techniques.- Cyberbullying Trends in Indian Sports - A Sentiment Analysis of Twitter Feeds.- Assistive Live Audio Transcription Glasses For Individuals Suffering Auditory impairment.- Graph-Based Predictive Modeling in Drug Response.- VR Phantom Haven: Phantom Limb Pain Management using Virtual Reality.- Beyond the Surface: Exploring Segmentation Techniques in DL for Early Brain Tumor Detection.- Salary Prediction Using Machine Learning Techniques.- Tax Technology as a Catalyst for Globalization of Companies and Digital Transformation.- Handwritten Signature Verification and Forgery Detection using Deep Learning.- Exploring Methodologies for Computing Sentence Similarity in Natural Language Processing.- Enhancing Real-Time Gesture Recognition Systems for Virtual Reality Applications using Deep Learning Techniques.- Machine Learning for Power Analysis: A New Paradigm in CMOS VLSI Design.- An ensemble-based lexicon dictionary coupled with annotated fine-grained emotions and sentiments.- Design and Implementation of Real Time Environment Tracking System Using Internet of Things (IoT).- Height measurement of pose bent knees by using pose estimation of MediaPipe.- A navigation tracking line algorithm for the mobile robot based on traditional vision.- A Systematic Literature Review on Lung Cancer with Ensemble Learning.- Intelligent Object Detection for Visually Impaired People using YOLO ALGORITHM.- Rash Driving Detection Using IoT and ML.

Prof. Shailesh Tiwari, Ph.D. currently works as a Professor and  Director at IMS Engineering College, Ghaziabad, UP, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various engineering problems. He has published more than 100 publications in International Journals and in Proceedings of International Conferences of repute. He has edited special issues of several Scopus, SCI and E-SCI-indexed journals. He has also edited several books published by Springer.  He has published 6 Indian patents as IPRs. He has organized several international conferences under the banner of IEEE, ACM and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society, Fellow of Institution of Engineers (FIE).Dr. Munesh Chandra Trivedi has more than 20 years of experience in the field of Computer Science & Engineering and has worked in Prestigious Institutions. Currently working as Professor (Computer Science), PSSCIVE Bhopal (A Constituent unit of NCERT, Under Ministry of Education, Government of India). He had successfully filed 65 patents (52 National and 13 International Patents (Germany, South Africa, and Australia)), out of which 35 patents were granted. He has published 12 textbooks and 153 research papers in different International Journals and Proceedings of repute. He has also edited 38 books for Springer Nature. He successfully supervised 14 PhD students and received numerous awards, including the Young Scientist Visiting Fellowship, Albert Einstein Research Scientist Award, Best Senior Faculty Award, Outstanding Scientist, Dronacharya Award, Author of the Year, and Vigyan Ratan Award from different national, as well as international forums. He has organized more than 32 international conferences technically sponsored by IEEE, ACM, and Springer.Prof. Mohan L. Kolhe is with the University of Agder (Norway) as full professor in electrical power engineering with focus in smart grid and renewable energy in the Faculty of Engineering and Science. He has also received the offer of full professorship in smart grid from the Norwegian University of Science and Technology (NTNU). He has more than twenty-five years’ academic experience at international level on electrical and renewable energy systems. He is a leading renewable energy technologist and has previously held academic positions at the world's prestigious universities e.g. University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc.Prof. Brajesh Kumar Singh is presently working as Professor and Head in Department of Computer Science and Engineering at Raja Balwant Singh Engineering Technical Campus, Agrawith more than 22 years of Teaching experience. Presently, HisArea of research work is Software Engineering, Software Project Management, Data Mining, Soft Computing, Computer Vision, IoT, and Cloud Computing. He has completed his doctorate degree in Computer Science and Engineering from Motilal Nehru National Institute of Technology, Allahabad, Prayagraj (U.P.). He has supervised 01 Ph.D. candidate from AKTU Lucknow and presently supervising 3 Ph.D. candidates. He has more than 80 publications to his credit in national and international journals and proceedings of high repute with large number of citations of his research manuscripts.

• An Automated Early Lung Cancer Detection Using Convolution Neural Network.- DeepLeaf: A Custom CNN Approach for Mulberry Leaf Classification.- Detecting Polycystic Ovary Syndrome Through Blending Ensemble Method.- Verbatym: Empowering Seamless Communication With Authentic Voice Translation.- Facial Emotion Detection using Artificial Intelligence.- Brain Tumor Detection Using MRI and Deep Learning Techniques.- Cyberbullying Trends in Indian Sports - A Sentiment Analysis of Twitter Feeds.- Assistive Live Audio Transcription Glasses For Individuals Suffering Auditory impairment.- Graph-Based Predictive Modeling in Drug Response.- VR Phantom Haven: Phantom Limb Pain Management using Virtual Reality.- Beyond the Surface: Exploring Segmentation Techniques in DL for Early Brain Tumor Detection.- Salary Prediction Using Machine Learning Techniques.- Tax Technology as a Catalyst for Globalization of Companies and Digital Transformation.- Handwritten Signature Verification and Forgery Detection using Deep Learning.- Exploring Methodologies for Computing Sentence Similarity in Natural Language Processing.- Enhancing Real-Time Gesture Recognition Systems for Virtual Reality Applications using Deep Learning Techniques.- Machine Learning for Power Analysis: A New Paradigm in CMOS VLSI Design.- An ensemble-based lexicon dictionary coupled with annotated fine-grained emotions and sentiments.- Design and Implementation of Real Time Environment Tracking System Using Internet of Things (IoT).- Height measurement of pose bent knees by using pose estimation of MediaPipe.- A navigation tracking line algorithm for the mobile robot based on traditional vision.- A Systematic Literature Review on Lung Cancer with Ensemble Learning.- Intelligent Object Detection for Visually Impaired People using YOLO ALGORITHM.- Rash Driving Detection Using IoT and ML.

Prof. Shailesh Tiwari, Ph.D. currently works as a Professor and  Director at IMS Engineering College, Ghaziabad, UP, India. He is an alumnus of Motilal Nehru National Institute of Technology Allahabad, India. His primary areas of research are software testing, implementation of optimization algorithms and machine learning techniques in various engineering problems. He has published more than 100 publications in International Journals and in Proceedings of International Conferences of repute. He has edited special issues of several Scopus, SCI and E-SCI-indexed journals. He has also edited several books published by Springer.  He has published 6 Indian patents as IPRs. He has organized several international conferences under the banner of IEEE, ACM and Springer. He is a Senior Member of IEEE, member of IEEE Computer Society, Fellow of Institution of Engineers (FIE).Dr. Munesh Chandra Trivedi has more than 20 years of experience in the field of Computer Science & Engineering and has worked in Prestigious Institutions. Currently working as Professor (Computer Science), PSSCIVE Bhopal (A Constituent unit of NCERT, Under Ministry of Education, Government of India). He had successfully filed 65 patents (52 National and 13 International Patents (Germany, South Africa, and Australia)), out of which 35 patents were granted. He has published 12 textbooks and 153 research papers in different International Journals and Proceedings of repute. He has also edited 38 books for Springer Nature. He successfully supervised 14 PhD students and received numerous awards, including the Young Scientist Visiting Fellowship, Albert Einstein Research Scientist Award, Best Senior Faculty Award, Outstanding Scientist, Dronacharya Award, Author of the Year, and Vigyan Ratan Award from different national, as well as international forums. He has organized more than 32 international conferences technically sponsored by IEEE, ACM, and Springer.Prof. Mohan L. Kolhe is with the University of Agder (Norway) as full professor in electrical power engineering with focus in smart grid and renewable energy in the Faculty of Engineering and Science. He has also received the offer of full professorship in smart grid from the Norwegian University of Science and Technology (NTNU). He has more than twenty-five years’ academic experience at international level on electrical and renewable energy systems. He is a leading renewable energy technologist and has previously held academic positions at the world's prestigious universities e.g. University College London (UK / Australia), University of Dundee (UK); University of Jyvaskyla (Finland); Hydrogen Research Institute, QC (Canada); etc.Prof. Brajesh Kumar Singh is presently working as Professor and Head in Department of Computer Science and Engineering at Raja Balwant Singh Engineering Technical Campus, Agrawith more than 22 years of Teaching experience. Presently, HisArea of research work is Software Engineering, Software Project Management, Data Mining, Soft Computing, Computer Vision, IoT, and Cloud Computing. He has completed his doctorate degree in Computer Science and Engineering from Motilal Nehru National Institute of Technology, Allahabad, Prayagraj (U.P.). He has supervised 01 Ph.D. candidate from AKTU Lucknow and presently supervising 3 Ph.D. candidates. He has more than 80 publications to his credit in national and international journals and proceedings of high repute with large number of citations of his research manuscripts.

• An Automated Early Lung Cancer Detection Using Convolution Neural Network.- DeepLeaf: A Custom CNN Approach for Mulberry Leaf Classification.- Detecting Polycystic Ovary Syndrome Through Blending Ensemble Method.- Verbatym: Empowering Seamless Communication With Authentic Voice Translation.- Facial Emotion Detection using Artificial Intelligence.- Brain Tumor Detection Using MRI and Deep Learning Techniques.- Cyberbullying Trends in Indian Sports - A Sentiment Analysis of Twitter Feeds.- Assistive Live Audio Transcription Glasses For Individuals Suffering Auditory impairment.- Graph-Based Predictive Modeling in Drug Response.- VR Phantom Haven: Phantom Limb Pain Management using Virtual Reality.- Beyond the Surface: Exploring Segmentation Techniques in DL for Early Brain Tumor Detection.- Salary Prediction Using Machine Learning Techniques.- Tax Technology as a Catalyst for Globalization of Companies and Digital Transformation.- Handwritten Signature Verification and Forgery Detection using Deep Learning.- Exploring Methodologies for Computing Sentence Similarity in Natural Language Processing.- Enhancing Real-Time Gesture Recognition Systems for Virtual Reality Applications using Deep Learning Techniques.- Machine Learning for Power Analysis: A New Paradigm in CMOS VLSI Design.- An ensemble-based lexicon dictionary coupled with annotated fine-grained emotions and sentiments.- Design and Implementation of Real Time Environment Tracking System Using Internet of Things (IoT).- Height measurement of pose bent knees by using pose estimation of MediaPipe.- A navigation tracking line algorithm for the mobile robot based on traditional vision.- A Systematic Literature Review on Lung Cancer with Ensemble Learning.- Intelligent Object Detection for Visually Impaired People using YOLO ALGORITHM.- Rash Driving Detection Using IoT and ML.