Dr Mamta Mittal is working as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received PhD in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA, Faridabad and B. Tech in Computer Science & Engineering from Kurukshetra University Kurukshetra in 2001. She has been teaching for the last 19 years with an emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr Mittal is a Lifetime member of CSI and published and communicated more than 90 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier and CRC Press and is working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles” with a research grant of 25 Lakhs. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. She is book Series editor of Health Informatics & Healthcare: using AI & Smart Computing & another Series Edge AI in future Computing with CRC Press, Taylor & Francis, USA.  Dr Mittal is an Editorial Board member with Inder-Science, Elsevier and  Associate Editor with Springer. She has Chaired a number of Conferences and delivered number of invite talks.Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 18 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining and cloud computing. He hascompleted a project sponsored by Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed and Scopus indexed journals and conferences. Two patents filed by him are also now published online. He is reviewer of many reputed journals and conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose University of Science and Technology, YMCA Faridabad in the Department of Computer Engineering.

• Predictive analysis of psychological disorders on health.- AI-Based predictive analytics for Patients' psychological disorder.- Predicting depression through social media.- Measuring Mental Health at Workplaces using Machine Learning Techniques.- Tertiary Students Stress Detection during Online Learning in Jos, Nigeria.- Challenges & Privacy Concerns Related to Use of Information Technology in Mental Healthcare.

Dr Mamta Mittal is working as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received PhD in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA, Faridabad and B. Tech in Computer Science & Engineering from Kurukshetra University Kurukshetra in 2001. She has been teaching for the last 19 years with an emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr Mittal is a Lifetime member of CSI and published and communicated more than 90 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier and CRC Press and is working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles” with a research grant of 25 Lakhs. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. She is book Series editor of Health Informatics & Healthcare: using AI & Smart Computing & another Series Edge AI in future Computing with CRC Press, Taylor & Francis, USA.  Dr Mittal is an Editorial Board member with Inder-Science, Elsevier and  Associate Editor with Springer. She has Chaired a number of Conferences and delivered number of invite talks.Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 18 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining and cloud computing. He hascompleted a project sponsored by Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed and Scopus indexed journals and conferences. Two patents filed by him are also now published online. He is reviewer of many reputed journals and conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose University of Science and Technology, YMCA Faridabad in the Department of Computer Engineering.

• Predictive analysis of psychological disorders on health.- AI-Based predictive analytics for Patients' psychological disorder.- Predicting depression through social media.- Measuring Mental Health at Workplaces using Machine Learning Techniques.- Tertiary Students Stress Detection during Online Learning in Jos, Nigeria.- Challenges & Privacy Concerns Related to Use of Information Technology in Mental Healthcare.

Dr Mamta Mittal is working as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received PhD in Computer Science and Engineering from Thapar University, Patiala; MTech (Honors) in Computer Science & Engineering from YMCA, Faridabad and B. Tech in Computer Science & Engineering from Kurukshetra University Kurukshetra in 2001. She has been teaching for the last 19 years with an emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr Mittal is a Lifetime member of CSI and published and communicated more than 90 research papers in SCI, SCIE, Scopus indexed Journals. She holds five patents and two copyrights in the area of Artificial Intelligence, IoT and Deep Learning. Dr Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier and CRC Press and is working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles” with a research grant of 25 Lakhs. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. She is book Series editor of Health Informatics & Healthcare: using AI & Smart Computing & another Series Edge AI in future Computing with CRC Press, Taylor & Francis, USA.  Dr Mittal is an Editorial Board member with Inder-Science, Elsevier and  Associate Editor with Springer. She has Chaired a number of Conferences and delivered number of invite talks.Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 18 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining and cloud computing. He hascompleted a project sponsored by Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed and Scopus indexed journals and conferences. Two patents filed by him are also now published online. He is reviewer of many reputed journals and conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose University of Science and Technology, YMCA Faridabad in the Department of Computer Engineering.

• Predictive analysis of psychological disorders on health.- AI-Based predictive analytics for Patients' psychological disorder.- Predicting depression through social media.- Measuring Mental Health at Workplaces using Machine Learning Techniques.- Tertiary Students Stress Detection during Online Learning in Jos, Nigeria.- Challenges & Privacy Concerns Related to Use of Information Technology in Mental Healthcare.