Mousmi Ajay Chaurasia is working as Professor and Head in the Information Technology Department at Muffakham Jah College of Engineering & Technology, Hyderabad. She has published more than 20 papers in different International journals, Book Chapters and conference proceedings. She is a Senior Member of IEEE and serves in different capacities in IEEE section, region and global level. She is a recipient of the 2020 Significant Volunteer Award from IEEE Hyderabad Section. She has one patent to her name and two Australian patents are in progress.She has worked in South Korea and Saudi Arabia and handled various projects funded by respective Governments. She has been part of several International Conferences and  Workshops. Her research interests are Artificial Intelligence, Big Data and Evolutionary Computation.Stefan Mozar obtained his engineering degrees from the University of New South Wales in Sydney, Australia, and his MBA from the University of Technology Sydney. He is a fellow of the IEEE, and of the Institution of Engineers, Australia. He is a chartered professional engineer and has extensive experience in industry and academia. He has held senior leadership roles in various technology companies and has taught at a number of Australian, Asian, and British Universities. His work has resulted in inventions, patents, and publications. He has lived and worked in Australia, China, Hong Kong, and Singapore, worked on projects in India, Indonesia, Malaysia, Thailand, and Vietnam, and has made contributions to the advancement of the IEEE in R-10 and globally. He is the editor of the 6th edition of the McGraw-Hill Electronics Engineering Handbook, released in 2017.

• Detection of Coronavirus from Chest X-ray images using 2D Convolutional Neural Network.- Interpretation Of COVID 19 CT Scans.- Deep Learning-Based Prediction Of nCOVID-19 Disease Using Chest X-Ray Images (Cxris).- Explainable Deep Learning Through Grad-Cam And Feature Visualization For The Detection Of Covid-19 In Chest X-Ray Images.- Preserving the Privacy Of Covid-19 Infected Patients Data Using A Divergent Scale Supervised Learning For Publishing The Informative Data.- Personal Cloud System for Hospital Data Management for storing Covid-19 Patients Records.- Strategies And Tools For Effective Suspicious Event Detection From Video: A Survey Perspective (COVID 19).- Smart Water Purifier And Dispenser For Averting Spread Of COVID 19 Infection – machine Learning approach.- Impact Of Covid-19 On Power Sector.- Automated Navigation System With Indoor Assistance For Blind.- Estimation of Quantity and Nutritional Information of Food Using Image Processing.

Mousmi Ajay Chaurasia is working as Professor and Head in the Information Technology Department at Muffakham Jah College of Engineering & Technology, Hyderabad. She has published more than 20 papers in different International journals, Book Chapters and conference proceedings. She is a Senior Member of IEEE and serves in different capacities in IEEE section, region and global level. She is a recipient of the 2020 Significant Volunteer Award from IEEE Hyderabad Section. She has one patent to her name and two Australian patents are in progress.She has worked in South Korea and Saudi Arabia and handled various projects funded by respective Governments. She has been part of several International Conferences and  Workshops. Her research interests are Artificial Intelligence, Big Data and Evolutionary Computation.Stefan Mozar obtained his engineering degrees from the University of New South Wales in Sydney, Australia, and his MBA from the University of Technology Sydney. He is a fellow of the IEEE, and of the Institution of Engineers, Australia. He is a chartered professional engineer and has extensive experience in industry and academia. He has held senior leadership roles in various technology companies and has taught at a number of Australian, Asian, and British Universities. His work has resulted in inventions, patents, and publications. He has lived and worked in Australia, China, Hong Kong, and Singapore, worked on projects in India, Indonesia, Malaysia, Thailand, and Vietnam, and has made contributions to the advancement of the IEEE in R-10 and globally. He is the editor of the 6th edition of the McGraw-Hill Electronics Engineering Handbook, released in 2017.

• Detection of Coronavirus from Chest X-ray images using 2D Convolutional Neural Network.- Interpretation Of COVID 19 CT Scans.- Deep Learning-Based Prediction Of nCOVID-19 Disease Using Chest X-Ray Images (Cxris).- Explainable Deep Learning Through Grad-Cam And Feature Visualization For The Detection Of Covid-19 In Chest X-Ray Images.- Preserving the Privacy Of Covid-19 Infected Patients Data Using A Divergent Scale Supervised Learning For Publishing The Informative Data.- Personal Cloud System for Hospital Data Management for storing Covid-19 Patients Records.- Strategies And Tools For Effective Suspicious Event Detection From Video: A Survey Perspective (COVID 19).- Smart Water Purifier And Dispenser For Averting Spread Of COVID 19 Infection – machine Learning approach.- Impact Of Covid-19 On Power Sector.- Automated Navigation System With Indoor Assistance For Blind.- Estimation of Quantity and Nutritional Information of Food Using Image Processing.

Mousmi Ajay Chaurasia is working as Professor and Head in the Information Technology Department at Muffakham Jah College of Engineering & Technology, Hyderabad. She has published more than 20 papers in different International journals, Book Chapters and conference proceedings. She is a Senior Member of IEEE and serves in different capacities in IEEE section, region and global level. She is a recipient of the 2020 Significant Volunteer Award from IEEE Hyderabad Section. She has one patent to her name and two Australian patents are in progress.She has worked in South Korea and Saudi Arabia and handled various projects funded by respective Governments. She has been part of several International Conferences and  Workshops. Her research interests are Artificial Intelligence, Big Data and Evolutionary Computation.Stefan Mozar obtained his engineering degrees from the University of New South Wales in Sydney, Australia, and his MBA from the University of Technology Sydney. He is a fellow of the IEEE, and of the Institution of Engineers, Australia. He is a chartered professional engineer and has extensive experience in industry and academia. He has held senior leadership roles in various technology companies and has taught at a number of Australian, Asian, and British Universities. His work has resulted in inventions, patents, and publications. He has lived and worked in Australia, China, Hong Kong, and Singapore, worked on projects in India, Indonesia, Malaysia, Thailand, and Vietnam, and has made contributions to the advancement of the IEEE in R-10 and globally. He is the editor of the 6th edition of the McGraw-Hill Electronics Engineering Handbook, released in 2017.

• Detection of Coronavirus from Chest X-ray images using 2D Convolutional Neural Network.- Interpretation Of COVID 19 CT Scans.- Deep Learning-Based Prediction Of nCOVID-19 Disease Using Chest X-Ray Images (Cxris).- Explainable Deep Learning Through Grad-Cam And Feature Visualization For The Detection Of Covid-19 In Chest X-Ray Images.- Preserving the Privacy Of Covid-19 Infected Patients Data Using A Divergent Scale Supervised Learning For Publishing The Informative Data.- Personal Cloud System for Hospital Data Management for storing Covid-19 Patients Records.- Strategies And Tools For Effective Suspicious Event Detection From Video: A Survey Perspective (COVID 19).- Smart Water Purifier And Dispenser For Averting Spread Of COVID 19 Infection – machine Learning approach.- Impact Of Covid-19 On Power Sector.- Automated Navigation System With Indoor Assistance For Blind.- Estimation of Quantity and Nutritional Information of Food Using Image Processing.