Dr. Seema Rawat gained her Ph.D. in Computer Science in Engineering and currently she is working as Associate Professor in Amity University Tashkent, Uzbekistan. She has more than 16 year of experience in research, teaching and content writing. Her areas of interests include big data analytics, data mining, machine learning. etc. She has to her credit 12 Patents and has published more then 80+ research papers in international journals and conferences (Scopus Indexed). She is editor and reviewer for many books and conferences. She is First women to be part of the IP colloquium program of WIPO Switzerland Geneva and is an Active Member of WEC (Women Entrepreneurial Cell). She has been a panelist and speaker in many programs at corporate and university level. She has received the "Faculty Innovation Excellence Award 2019" on the occasion of the World Intellectual Property Day. The award was given by The Secretary of Department of Science & Technology (DST) Govt of India. She has also worked as Faculty Advisor of "AICSC (Amity IEEE Computer Society Chapter)" under AUSBI (Amity University Student Branch of IEEE). She is an Active member in IEEE, member of ACM, and member of IET(UK), SCIEI and other renowned technical societies.Dr V. Ajantha Devi is working as a Research Head for AP3 Solutions, Chennai, Tamil Nadu, India. She received her Ph.D. from University of Madras in 2015, and has worked as Project Fellow under a UGC Major Research Project. She is a Senior Member of IEEE, and has been certified as "Microsoft Certified Application Developer" (MCAD) and "Microsoft Certified Technical Specialist" (MCTS) by Microsoft Corp. She has more than 40 papers in international journals and conference proceedings to her credit. She has written, co-authored, and edited a number of books in the field of computer science with international and national publishers like Elsevier, Springer, etc. She has been a member of the program committee/technical committee/chair/review board for a variety of international conferences. She has five Australian Patents and one Indian Patent to her credit in the areas of artificial intelligence, image processing and medical imaging. Her work in image processing, signal processing, pattern matching, and natural language processing is based on artificial intelligence, machine learning, and deep learning techniques. She has won many Best paper presentation awards as well as a few research-oriented international awards.Dr. Praveen Kumar holds a doctorate and a master's degree in computer science and engineering. He is currently employed at Amity University in Tashkent, Uzbekistan as an Associate Professor. He has over 15 years of teaching and research experience, and was acknowledged by the Government of West Bengal, India, as having the best Ph.D. thesis and as a Fellow Member of the Indian Institute of Machine Learning for excellent contributions to artificial intelligence and machine learning. Big data analytics, data mining, and machine learning are some of his areas of interest. He holds 9 patents/copyrights and has published over 100 research papers in international journals and conferences (all of which are Scopus-indexed). In the area of Big Data analytics and data mining, he is guiding 4 Ph.D. Research Scholars. He has given invited talks and guest lectures at Jamia Millia Islamia University, Delhi University's Maharaja Agersen College, Vietnam's Duy Tan University, and ECE Paris, France, among others. He is an active member of IEEE, a lifetime member of IETE, an ACM member, and a member of the IET (UK) and other prestigious technical organizations. He works with corporations and is the Technical Adviser for DeetyaSoft Pvt. Ltd. Noida, MyDigital360, and other companies.

• 1. Novel Nonparametric Method of Multivariate Data Analysis and Interpretation 2. Data Analysis on Automation of Purging with IoT in FRAMO Cargo Pump 3. Big Data Analytics in Healthcare Sector: Potential Strength and Challenges 4. Role of Big Data Analytics in Cloud Applications 5. Big data Analytics with Artificial Intelligence: A Comprehensive Investigation 6. Cloud Computing Environment For Big Data Analytics 7. Artificial Intelligence-based Data Wrangling Issues and Data Analytics Process for Various Domains 8. Artificial Intelligence and Data Science in Various Domains 9. Method for Implementing Time-control Functions in Real-time Operating Systems 10. Efficient Blurred and De-Blurred Image Classification using Machine Learning Approach 11. Method for Characterization of Brain Activity using Brain–Computer Interface Devices 12. Streaming Highway Traffic Alerts using Twitter API 13. Harnessing the Power of Artificial Intelligence and Data Science 14. Determining the Severity of Diabetic Retinopathy through Neural Network Models 15. Method for Muscle Activity Characterization using Wearable Devices

Dr. Seema Rawat gained her Ph.D. in Computer Science in Engineering and currently she is working as Associate Professor in Amity University Tashkent, Uzbekistan. She has more than 16 year of experience in research, teaching and content writing. Her areas of interests include big data analytics, data mining, machine learning. etc. She has to her credit 12 Patents and has published more then 80+ research papers in international journals and conferences (Scopus Indexed). She is editor and reviewer for many books and conferences. She is First women to be part of the IP colloquium program of WIPO Switzerland Geneva and is an Active Member of WEC (Women Entrepreneurial Cell). She has been a panelist and speaker in many programs at corporate and university level. She has received the "Faculty Innovation Excellence Award 2019" on the occasion of the World Intellectual Property Day. The award was given by The Secretary of Department of Science & Technology (DST) Govt of India. She has also worked as Faculty Advisor of "AICSC (Amity IEEE Computer Society Chapter)" under AUSBI (Amity University Student Branch of IEEE). She is an Active member in IEEE, member of ACM, and member of IET(UK), SCIEI and other renowned technical societies.Dr V. Ajantha Devi is working as a Research Head for AP3 Solutions, Chennai, Tamil Nadu, India. She received her Ph.D. from University of Madras in 2015, and has worked as Project Fellow under a UGC Major Research Project. She is a Senior Member of IEEE, and has been certified as "Microsoft Certified Application Developer" (MCAD) and "Microsoft Certified Technical Specialist" (MCTS) by Microsoft Corp. She has more than 40 papers in international journals and conference proceedings to her credit. She has written, co-authored, and edited a number of books in the field of computer science with international and national publishers like Elsevier, Springer, etc. She has been a member of the program committee/technical committee/chair/review board for a variety of international conferences. She has five Australian Patents and one Indian Patent to her credit in the areas of artificial intelligence, image processing and medical imaging. Her work in image processing, signal processing, pattern matching, and natural language processing is based on artificial intelligence, machine learning, and deep learning techniques. She has won many Best paper presentation awards as well as a few research-oriented international awards.Dr. Praveen Kumar holds a doctorate and a master's degree in computer science and engineering. He is currently employed at Amity University in Tashkent, Uzbekistan as an Associate Professor. He has over 15 years of teaching and research experience, and was acknowledged by the Government of West Bengal, India, as having the best Ph.D. thesis and as a Fellow Member of the Indian Institute of Machine Learning for excellent contributions to artificial intelligence and machine learning. Big data analytics, data mining, and machine learning are some of his areas of interest. He holds 9 patents/copyrights and has published over 100 research papers in international journals and conferences (all of which are Scopus-indexed). In the area of Big Data analytics and data mining, he is guiding 4 Ph.D. Research Scholars. He has given invited talks and guest lectures at Jamia Millia Islamia University, Delhi University's Maharaja Agersen College, Vietnam's Duy Tan University, and ECE Paris, France, among others. He is an active member of IEEE, a lifetime member of IETE, an ACM member, and a member of the IET (UK) and other prestigious technical organizations. He works with corporations and is the Technical Adviser for DeetyaSoft Pvt. Ltd. Noida, MyDigital360, and other companies.

• 1. Novel Nonparametric Method of Multivariate Data Analysis and Interpretation 2. Data Analysis on Automation of Purging with IoT in FRAMO Cargo Pump 3. Big Data Analytics in Healthcare Sector: Potential Strength and Challenges 4. Role of Big Data Analytics in Cloud Applications 5. Big data Analytics with Artificial Intelligence: A Comprehensive Investigation 6. Cloud Computing Environment For Big Data Analytics 7. Artificial Intelligence-based Data Wrangling Issues and Data Analytics Process for Various Domains 8. Artificial Intelligence and Data Science in Various Domains 9. Method for Implementing Time-control Functions in Real-time Operating Systems 10. Efficient Blurred and De-Blurred Image Classification using Machine Learning Approach 11. Method for Characterization of Brain Activity using Brain–Computer Interface Devices 12. Streaming Highway Traffic Alerts using Twitter API 13. Harnessing the Power of Artificial Intelligence and Data Science 14. Determining the Severity of Diabetic Retinopathy through Neural Network Models 15. Method for Muscle Activity Characterization using Wearable Devices

Dr. Seema Rawat gained her Ph.D. in Computer Science in Engineering and currently she is working as Associate Professor in Amity University Tashkent, Uzbekistan. She has more than 16 year of experience in research, teaching and content writing. Her areas of interests include big data analytics, data mining, machine learning. etc. She has to her credit 12 Patents and has published more then 80+ research papers in international journals and conferences (Scopus Indexed). She is editor and reviewer for many books and conferences. She is First women to be part of the IP colloquium program of WIPO Switzerland Geneva and is an Active Member of WEC (Women Entrepreneurial Cell). She has been a panelist and speaker in many programs at corporate and university level. She has received the "Faculty Innovation Excellence Award 2019" on the occasion of the World Intellectual Property Day. The award was given by The Secretary of Department of Science & Technology (DST) Govt of India. She has also worked as Faculty Advisor of "AICSC (Amity IEEE Computer Society Chapter)" under AUSBI (Amity University Student Branch of IEEE). She is an Active member in IEEE, member of ACM, and member of IET(UK), SCIEI and other renowned technical societies.Dr V. Ajantha Devi is working as a Research Head for AP3 Solutions, Chennai, Tamil Nadu, India. She received her Ph.D. from University of Madras in 2015, and has worked as Project Fellow under a UGC Major Research Project. She is a Senior Member of IEEE, and has been certified as "Microsoft Certified Application Developer" (MCAD) and "Microsoft Certified Technical Specialist" (MCTS) by Microsoft Corp. She has more than 40 papers in international journals and conference proceedings to her credit. She has written, co-authored, and edited a number of books in the field of computer science with international and national publishers like Elsevier, Springer, etc. She has been a member of the program committee/technical committee/chair/review board for a variety of international conferences. She has five Australian Patents and one Indian Patent to her credit in the areas of artificial intelligence, image processing and medical imaging. Her work in image processing, signal processing, pattern matching, and natural language processing is based on artificial intelligence, machine learning, and deep learning techniques. She has won many Best paper presentation awards as well as a few research-oriented international awards.Dr. Praveen Kumar holds a doctorate and a master's degree in computer science and engineering. He is currently employed at Amity University in Tashkent, Uzbekistan as an Associate Professor. He has over 15 years of teaching and research experience, and was acknowledged by the Government of West Bengal, India, as having the best Ph.D. thesis and as a Fellow Member of the Indian Institute of Machine Learning for excellent contributions to artificial intelligence and machine learning. Big data analytics, data mining, and machine learning are some of his areas of interest. He holds 9 patents/copyrights and has published over 100 research papers in international journals and conferences (all of which are Scopus-indexed). In the area of Big Data analytics and data mining, he is guiding 4 Ph.D. Research Scholars. He has given invited talks and guest lectures at Jamia Millia Islamia University, Delhi University's Maharaja Agersen College, Vietnam's Duy Tan University, and ECE Paris, France, among others. He is an active member of IEEE, a lifetime member of IETE, an ACM member, and a member of the IET (UK) and other prestigious technical organizations. He works with corporations and is the Technical Adviser for DeetyaSoft Pvt. Ltd. Noida, MyDigital360, and other companies.

• 1. Novel Nonparametric Method of Multivariate Data Analysis and Interpretation 2. Data Analysis on Automation of Purging with IoT in FRAMO Cargo Pump 3. Big Data Analytics in Healthcare Sector: Potential Strength and Challenges 4. Role of Big Data Analytics in Cloud Applications 5. Big data Analytics with Artificial Intelligence: A Comprehensive Investigation 6. Cloud Computing Environment For Big Data Analytics 7. Artificial Intelligence-based Data Wrangling Issues and Data Analytics Process for Various Domains 8. Artificial Intelligence and Data Science in Various Domains 9. Method for Implementing Time-control Functions in Real-time Operating Systems 10. Efficient Blurred and De-Blurred Image Classification using Machine Learning Approach 11. Method for Characterization of Brain Activity using Brain–Computer Interface Devices 12. Streaming Highway Traffic Alerts using Twitter API 13. Harnessing the Power of Artificial Intelligence and Data Science 14. Determining the Severity of Diabetic Retinopathy through Neural Network Models 15. Method for Muscle Activity Characterization using Wearable Devices