Dr. Mamta Mittal works as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received a 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 18 years with emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr. Mittal is a lifetime member of CSI and published more than 80 research papers. She holds five patents, two of which have been granted copyrights, and three more published in the area of Artificial Intelligence, IoT and Deep Learning. Dr. Mittal has edited/authored many books with reputed publishers, and is working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles”. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. Dr. Mittal is Editorial Board member with Inder-Science, Bentham Science, Springer and Elsevier, handled Special issues, has chaired many Conferences. Rajiv Ratn Shah currently works as an Assistant Professor in the Department of Computer Science and Engineering (joint appointment with the Department of Human-centered Design) at IIIT-Delhi. He is also the director of the MIDAS Lab at IIIT-Delhi. He received his Ph.D. in computer science from the National University of Singapore (NUS), Singapore. Before joining IIIT-Delhi, he worked as a Research Fellow in Living Analytics Research Center (LARC) at the Singapore Management University (SMU), Singapore. Prior to completing his Ph.D., he received his M.Tech. and M.C.A. degrees in Computer Applications from the Delhi Technological University (DTU), Delhi and Jawaharlal Nehru University (JNU), Delhi, respectively. He has also received his B.Sc. in Mathematics (Honors) from the Banaras Hindu University (BHU), Varanasi. Dr. Shah is the recipient of several awards, including the prestigious Heidelberg Laureate Forum (HLF) and European Research Consortium for Informatics and Mathematics (ERCIM) fellowships. He won the best student poster award in 33rd AAAI Conference on Artificial Intelligence at Hawaii, USA and won the best poster runner up award in 20th IEEE International Symposium on Multimedia (ISM) conference at Taichung, Taiwan. Recently, we also won the best poster and best industry paper awards at 5th IEEE International Conference on Multimedia Big Data (BigMM) conference. He is also the winner of 1st ACM India Student Chapter Grand Challenge 2019. He has also received the best paper award in the IWGS workshop at the ACM SIGSPATIAL conference 2016, San Francisco, USA and was runner-up in the Grand Challenge competition of ACM International Conference on Multimedia 2015, Brisbane, Australia. He is involved in organizing and reviewing of many top-tier international conferences and journals. He is TPC co-chair for IEEE BigMM 2019 and BigMM 2020. He has also organized the Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) workshop in the conjunction of the first IEEE MIPR 2018 and 20th IEEE ISM conferences. His research interests include multimedia content processing, natural language processing, image processing, multimodal computing, data science, social media computing, and the internet of things. Dr. Sudipta Roy received his Ph.D. in Computer Science & Engineering from the Department of Computer Science and Engineering, University of Calcutta. He is author of more than forty publications in refereed national / international journals and conferences. Dr. Roy holds a US patent in medical image processing, and filed an Indian patent in smart agricultural systems. Dr. Roy serves as an Associate Editor of IEEE Access, and IEEE and International Journal of Computer Vision and Image Processing (IJCVIP). His fields of research interest are biomedical image analysis, image processing, steganography, artificial intelligence, big data analysis, machine learning and big data technologies. Currently, he is a Research Associate at PRTTL, Washington University in St. Louis, Saint Louis, MO, USA

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• 1. Introduction to cognitive computing and its various applications Sushila Palwe and Anita Gunjal2. Recent trends towards cognitive science: from robots to humanized robotsKatiyar Sarthak and Katiyar Kalpana3. Cognitive compyuting in human activity recognition by healthcare robotsS. Ravi Shankar, Gopi Battineni, and Mamta Mittal4. Deep learning-based cognitive state prediction analysis using brain wave signalsD. Devi, S. Sophia, and S.R. Boselin Pabhu5. EEG-based cognitive performance evaluations for mental arithmetic tasksDebatri Chatterjee, Rahul Gavas, Roopkatha Samanta, and Sanjoy Kumar Saha6. Trust or no trust in chat-bots: a millennial dilemmaShivani Agarwal7. Cognitive computing in autonomous vehiclesAtharva Sandeep Vidwans8. Optimized navigation using deep learning techniques for automatic guided vehiclesAnubha Parashar, Apoorva Parashar, and Lalit Mohan Goyal9. Vehicular middleware and heuristic approaches for ITS systems of smart citiesRajender Kumar, Ravinder Khanna, and Surender Kumar10. Error traceability and error prediction using machine learning techniques to improve the quality of vehicle modeling in computer-aided engineeringA. Anny Leema, Krishna Sai Narayana, and Subramani Sellaman11. All about human-robot interactionKiran Jot Singh, Divneet Singh Kapoor, and Balwinder Singh Sohi12. Teleportation of human body kinematicss for a tangible humanoid robot controlTutan Nama and Suman Deb13. Recognition of trivial humanoid group events using clustering and higher order local auto-correlation techniquesK. Seemanthini and S.S. Manjunath14. Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in the domestic environmentE.D.G. Sanjeewa, K.K.L. Herath, B.G.D.A. Madhusanka, H.D.N.S. Priyankara, and H.M.K.K.M.B. Herath15. Mobile robots for air quality monitoring of landfill sites using the Internet of ThingsRajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Prabin Kumar Das, and Sushabhan Choudhury16. Artificial intelligence and Internet of Things readiness: the inclination for hotels to support a sustainable envoronmentMudita Sinha, Leena N. Fukey, Ashutosh Sinha17. Design and fabrication of a new multi-function smart trash bin based on the Internet of Things Bo Sun, Quanjin Ma, Hao Yao, Zidong Yang, Da Peng, and M.R.M.Rejab

Dr. Mamta Mittal works as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received a 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 18 years with emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr. Mittal is a lifetime member of CSI and published more than 80 research papers. She holds five patents, two of which have been granted copyrights, and three more published in the area of Artificial Intelligence, IoT and Deep Learning. Dr. Mittal has edited/authored many books with reputed publishers, and is working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles”. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. Dr. Mittal is Editorial Board member with Inder-Science, Bentham Science, Springer and Elsevier, handled Special issues, has chaired many Conferences. Rajiv Ratn Shah currently works as an Assistant Professor in the Department of Computer Science and Engineering (joint appointment with the Department of Human-centered Design) at IIIT-Delhi. He is also the director of the MIDAS Lab at IIIT-Delhi. He received his Ph.D. in computer science from the National University of Singapore (NUS), Singapore. Before joining IIIT-Delhi, he worked as a Research Fellow in Living Analytics Research Center (LARC) at the Singapore Management University (SMU), Singapore. Prior to completing his Ph.D., he received his M.Tech. and M.C.A. degrees in Computer Applications from the Delhi Technological University (DTU), Delhi and Jawaharlal Nehru University (JNU), Delhi, respectively. He has also received his B.Sc. in Mathematics (Honors) from the Banaras Hindu University (BHU), Varanasi. Dr. Shah is the recipient of several awards, including the prestigious Heidelberg Laureate Forum (HLF) and European Research Consortium for Informatics and Mathematics (ERCIM) fellowships. He won the best student poster award in 33rd AAAI Conference on Artificial Intelligence at Hawaii, USA and won the best poster runner up award in 20th IEEE International Symposium on Multimedia (ISM) conference at Taichung, Taiwan. Recently, we also won the best poster and best industry paper awards at 5th IEEE International Conference on Multimedia Big Data (BigMM) conference. He is also the winner of 1st ACM India Student Chapter Grand Challenge 2019. He has also received the best paper award in the IWGS workshop at the ACM SIGSPATIAL conference 2016, San Francisco, USA and was runner-up in the Grand Challenge competition of ACM International Conference on Multimedia 2015, Brisbane, Australia. He is involved in organizing and reviewing of many top-tier international conferences and journals. He is TPC co-chair for IEEE BigMM 2019 and BigMM 2020. He has also organized the Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) workshop in the conjunction of the first IEEE MIPR 2018 and 20th IEEE ISM conferences. His research interests include multimedia content processing, natural language processing, image processing, multimodal computing, data science, social media computing, and the internet of things. Dr. Sudipta Roy received his Ph.D. in Computer Science & Engineering from the Department of Computer Science and Engineering, University of Calcutta. He is author of more than forty publications in refereed national / international journals and conferences. Dr. Roy holds a US patent in medical image processing, and filed an Indian patent in smart agricultural systems. Dr. Roy serves as an Associate Editor of IEEE Access, and IEEE and International Journal of Computer Vision and Image Processing (IJCVIP). His fields of research interest are biomedical image analysis, image processing, steganography, artificial intelligence, big data analysis, machine learning and big data technologies. Currently, he is a Research Associate at PRTTL, Washington University in St. Louis, Saint Louis, MO, USA

Select Guide Rating

• 1. Introduction to cognitive computing and its various applications Sushila Palwe and Anita Gunjal2. Recent trends towards cognitive science: from robots to humanized robotsKatiyar Sarthak and Katiyar Kalpana3. Cognitive compyuting in human activity recognition by healthcare robotsS. Ravi Shankar, Gopi Battineni, and Mamta Mittal4. Deep learning-based cognitive state prediction analysis using brain wave signalsD. Devi, S. Sophia, and S.R. Boselin Pabhu5. EEG-based cognitive performance evaluations for mental arithmetic tasksDebatri Chatterjee, Rahul Gavas, Roopkatha Samanta, and Sanjoy Kumar Saha6. Trust or no trust in chat-bots: a millennial dilemmaShivani Agarwal7. Cognitive computing in autonomous vehiclesAtharva Sandeep Vidwans8. Optimized navigation using deep learning techniques for automatic guided vehiclesAnubha Parashar, Apoorva Parashar, and Lalit Mohan Goyal9. Vehicular middleware and heuristic approaches for ITS systems of smart citiesRajender Kumar, Ravinder Khanna, and Surender Kumar10. Error traceability and error prediction using machine learning techniques to improve the quality of vehicle modeling in computer-aided engineeringA. Anny Leema, Krishna Sai Narayana, and Subramani Sellaman11. All about human-robot interactionKiran Jot Singh, Divneet Singh Kapoor, and Balwinder Singh Sohi12. Teleportation of human body kinematicss for a tangible humanoid robot controlTutan Nama and Suman Deb13. Recognition of trivial humanoid group events using clustering and higher order local auto-correlation techniquesK. Seemanthini and S.S. Manjunath14. Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in the domestic environmentE.D.G. Sanjeewa, K.K.L. Herath, B.G.D.A. Madhusanka, H.D.N.S. Priyankara, and H.M.K.K.M.B. Herath15. Mobile robots for air quality monitoring of landfill sites using the Internet of ThingsRajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Prabin Kumar Das, and Sushabhan Choudhury16. Artificial intelligence and Internet of Things readiness: the inclination for hotels to support a sustainable envoronmentMudita Sinha, Leena N. Fukey, Ashutosh Sinha17. Design and fabrication of a new multi-function smart trash bin based on the Internet of Things Bo Sun, Quanjin Ma, Hao Yao, Zidong Yang, Da Peng, and M.R.M.Rejab

Dr. Mamta Mittal works as Head and Associate Professor (Data Analytics and Data Science) in Delhi Skill & Entrepreneurship University (under Government of NCT Delhi), New Delhi. She received a 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 18 years with emphasis on Data Mining, Machine Learning, DBMS and Data Structure. Dr. Mittal is a lifetime member of CSI and published more than 80 research papers. She holds five patents, two of which have been granted copyrights, and three more published in the area of Artificial Intelligence, IoT and Deep Learning. Dr. Mittal has edited/authored many books with reputed publishers, and is working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles”. Currently, she is guiding PhD scholars in Machine Learning, Computer Vision and Deep Learning areas. Dr. Mittal is Editorial Board member with Inder-Science, Bentham Science, Springer and Elsevier, handled Special issues, has chaired many Conferences. Rajiv Ratn Shah currently works as an Assistant Professor in the Department of Computer Science and Engineering (joint appointment with the Department of Human-centered Design) at IIIT-Delhi. He is also the director of the MIDAS Lab at IIIT-Delhi. He received his Ph.D. in computer science from the National University of Singapore (NUS), Singapore. Before joining IIIT-Delhi, he worked as a Research Fellow in Living Analytics Research Center (LARC) at the Singapore Management University (SMU), Singapore. Prior to completing his Ph.D., he received his M.Tech. and M.C.A. degrees in Computer Applications from the Delhi Technological University (DTU), Delhi and Jawaharlal Nehru University (JNU), Delhi, respectively. He has also received his B.Sc. in Mathematics (Honors) from the Banaras Hindu University (BHU), Varanasi. Dr. Shah is the recipient of several awards, including the prestigious Heidelberg Laureate Forum (HLF) and European Research Consortium for Informatics and Mathematics (ERCIM) fellowships. He won the best student poster award in 33rd AAAI Conference on Artificial Intelligence at Hawaii, USA and won the best poster runner up award in 20th IEEE International Symposium on Multimedia (ISM) conference at Taichung, Taiwan. Recently, we also won the best poster and best industry paper awards at 5th IEEE International Conference on Multimedia Big Data (BigMM) conference. He is also the winner of 1st ACM India Student Chapter Grand Challenge 2019. He has also received the best paper award in the IWGS workshop at the ACM SIGSPATIAL conference 2016, San Francisco, USA and was runner-up in the Grand Challenge competition of ACM International Conference on Multimedia 2015, Brisbane, Australia. He is involved in organizing and reviewing of many top-tier international conferences and journals. He is TPC co-chair for IEEE BigMM 2019 and BigMM 2020. He has also organized the Multimodal Representation, Retrieval, and Analysis of Multimedia Content (MR2AMC) workshop in the conjunction of the first IEEE MIPR 2018 and 20th IEEE ISM conferences. His research interests include multimedia content processing, natural language processing, image processing, multimodal computing, data science, social media computing, and the internet of things. Dr. Sudipta Roy received his Ph.D. in Computer Science & Engineering from the Department of Computer Science and Engineering, University of Calcutta. He is author of more than forty publications in refereed national / international journals and conferences. Dr. Roy holds a US patent in medical image processing, and filed an Indian patent in smart agricultural systems. Dr. Roy serves as an Associate Editor of IEEE Access, and IEEE and International Journal of Computer Vision and Image Processing (IJCVIP). His fields of research interest are biomedical image analysis, image processing, steganography, artificial intelligence, big data analysis, machine learning and big data technologies. Currently, he is a Research Associate at PRTTL, Washington University in St. Louis, Saint Louis, MO, USA

Select Guide Rating

• 1. Introduction to cognitive computing and its various applications Sushila Palwe and Anita Gunjal2. Recent trends towards cognitive science: from robots to humanized robotsKatiyar Sarthak and Katiyar Kalpana3. Cognitive compyuting in human activity recognition by healthcare robotsS. Ravi Shankar, Gopi Battineni, and Mamta Mittal4. Deep learning-based cognitive state prediction analysis using brain wave signalsD. Devi, S. Sophia, and S.R. Boselin Pabhu5. EEG-based cognitive performance evaluations for mental arithmetic tasksDebatri Chatterjee, Rahul Gavas, Roopkatha Samanta, and Sanjoy Kumar Saha6. Trust or no trust in chat-bots: a millennial dilemmaShivani Agarwal7. Cognitive computing in autonomous vehiclesAtharva Sandeep Vidwans8. Optimized navigation using deep learning techniques for automatic guided vehiclesAnubha Parashar, Apoorva Parashar, and Lalit Mohan Goyal9. Vehicular middleware and heuristic approaches for ITS systems of smart citiesRajender Kumar, Ravinder Khanna, and Surender Kumar10. Error traceability and error prediction using machine learning techniques to improve the quality of vehicle modeling in computer-aided engineeringA. Anny Leema, Krishna Sai Narayana, and Subramani Sellaman11. All about human-robot interactionKiran Jot Singh, Divneet Singh Kapoor, and Balwinder Singh Sohi12. Teleportation of human body kinematicss for a tangible humanoid robot controlTutan Nama and Suman Deb13. Recognition of trivial humanoid group events using clustering and higher order local auto-correlation techniquesK. Seemanthini and S.S. Manjunath14. Understanding the hand gesture command to visual attention model for mobile robot navigation: service robots in the domestic environmentE.D.G. Sanjeewa, K.K.L. Herath, B.G.D.A. Madhusanka, H.D.N.S. Priyankara, and H.M.K.K.M.B. Herath15. Mobile robots for air quality monitoring of landfill sites using the Internet of ThingsRajesh Singh, Anita Gehlot, Shaik Vaseem Akram, Prabin Kumar Das, and Sushabhan Choudhury16. Artificial intelligence and Internet of Things readiness: the inclination for hotels to support a sustainable envoronmentMudita Sinha, Leena N. Fukey, Ashutosh Sinha17. Design and fabrication of a new multi-function smart trash bin based on the Internet of Things Bo Sun, Quanjin Ma, Hao Yao, Zidong Yang, Da Peng, and M.R.M.Rejab