Design of Intelligent Applications using Machine Learning and Deep Learning Techniques

Dr. Ramchandra Mangrulkar have received his PhD in Computer Science and Engineering from SGBAU Amravati in 2016 and currently he is working as an Associate Professor at the department of Computing Engineering at DJSCE Mumbai, Maharashtra, India. Prior to this, he was working Associate Professor and Head, department of Computer Engineering, Bapurao Deshmukh College of Engineering Sevagram. Maharashtra, India. Dr. Ramchandra Mangrulkar has published significant number of papers and book chapters in the field related journals and conferences and have also participated as a session chair in various conferences and conducted various workshops on Network Simulator and LaTeX. He also received certification of appreciation from DIG Special Crime Branch Pune and Supretendant of Police and broadcasting media gives wide publicity for the project work guided by him on the topic “Face Recognition System”. He also received 3.5 lakhs grant under Research Promotion Scheme of AICTE for the project “Secured Energy Efficient Routing Protocol for Delay Tolerant Hybrid Network”. He is active member of Board of Studies in various universities and autonomous institute in India.Dr. Antonis Michalas have received his PhD in Network Security from Aalborg University, Denmark and currently he is working as an Assistant Professor at the department of computing Science at Tampere University of Technology, faculty of Computing and Electrical Engineering. Prior to this, he was working as an Assistant Professor in Cyber Security at the University of Westminster, London. Earlier, he was working as a postdoctoral researcher at the Security Lab at the Swedish Institute of Computer Science in Stockholm, Sweden. As a postdoctoral researcher at the SCE Labs, he was actively involved in National and European research projects. Dr. Antonis has published significant number of papers in the field related journals and conferences and have also participated as a speaker in various conferences and workshops. His research interest includes private and Secure e-voting system, reputation systems, privacy in decentralized environments, cloud computing, trusted computing and privacy preserving protocols in participatory sensing applications.Dr. Narendra Shekokar has received his PhD in Engineering (Network Security) from NMIMS University, Mumbai and he is working as a Professor and Head of dept. of Computer Engineering at SVKM’s Dwarkadas J. Sanghvi College of Engineering, Mumbai (Autonomous college affiliated to University of Mumbai). He was a member of Board of Studies at University of Mumbai for more than 5 years and he has also been a member of various committees at University of Mumbai. His total teaching experience is 23years. Dr. Narendra Shekokar is PhD guide for 8 research fellows and more than 25 students at Post Graduation level. He has presented more than 65 papers at International & National conferences and has also published more than 25 research papers in renowned journals. He has received the Minor Research Grant twice from University of Mumbai for his research projects. He has delivered expert talk and chaired a session at numerous events and conferences.Dr. Meera Narvekar is currently the Head of Department of Computer Engineering at D.J. Sanghvi College of Engineering, Mumbai (Autonomous college affiliated to University of Mumbai). She is a member of Board of Studies at University of Mumbai. She was nominated as a Senate member of the University of Mumbai in 2008. She has a total experience of 20 years in teaching. Dr. Meera has obtained her Ph.D in Computer Science and Technology from SNDT University, Mumbai in the area of Mobile Computing. Her thesis work was on Optimization of data delivery in Mobile Networks. She has published around 50 papers in various international and national journals and conferences. She is currently guiding projects with applications in agriculture, which has also received grant from University of Mumbai. She has delivered talks in various conferences and workshops. She is also in reviewer list and has been session chair of many conferences.Dr. Pallavi Chavan has received her PhD in Computer Science and Engineering from RTM Nagpur University and he is working as Associate Professor in Information Technology Department, RAIT Nerul, Navi Mumbai, India. Prior to this, she was working Assistant Professor and department of Computer Engineering, Bapurao Deshmukh College of Engineering Sevagram. Maharashtra, India. Her area of research is visual cryptography and secret sharing. She also interestingly works with image processing and soft computing. She is the recipient of UGC Workshop Grant two time for conduction of national level workshops. She is also a recipient of CSIR seminar grant for conduction of national level seminars. Her subjects of interest Are Theory of Computation, Database Management System and Artificial Neural Network and Fuzzy Logic. She is the follower of spiritual approach of Bramhakumaris For Rajyoga Meditation.

• 1. Data Acquisition and Preparation for Artificial Intelligence and Machine Learning Applications2. Fundamental Models in Machine Learning and Deep Learning3. Research Aspects of Machine Learning: Issues, Challenges, and Future Scope4. Comprehensive Analysis of Dimensionality Reduction Techniques for Machine Learning Applications5. Application of Deep Learning in Counting WBCs, RBCs, and Blood Platelets Using Faster Region-Based Convolutional Neural Network6. Application of Neural Network and Machine Learning in Mental Health Diagnosis7. Application of Machine Learning in Cardiac Arrhythmia8. Advances in Machine Learning and Deep Learning Approaches for Mammographic Breast Density Measurement for Breast Cancer Risk Prediction: An Overview9. Applications of Machine Learning in Psychology and the Lifestyle Disease Diabetes Mellitus10. Application of Machine Learning and Deep Learning in Thyroid Disease Prediction11. Application of Machine Learning in Fake News Detection12. Authentication of Broadcast News on Social Media Using Machine Learning13. Application of Deep Learning in Facial Recognition14. Application of Deep Learning in Deforestation Control and Prediction of Forest Fire Calamities15. Application of Convolutional Neural Network in Feather Classifications16. Application of Deep Learning Coupled with Thermal Imaging in Detecting Water Stress in Plants17. Machine Learning Techniques to Classify Breast Cancer18. Application of Deep Learning in Cartography Using UNet and Generative Adversarial Network19. Evaluation of Intrusion Detection System with Rule-Based Technique to Detect Malicious Web Spiders Using Machine Learning20. Application of Machine Learning to Improve Tourism Industry21. Training Agents to Play 2D Games Using Reinforcement Learning22. Analysis of the Effectiveness of the Non-Vaccine Countermeasures Taken by the Indian Government against COVID-19 and Forecasting Using Machine Learning and Deep Learning23. Application of Deep Learning in Video Question Answering System24. Implementation and Analysis of Machine Learning and Deep Learning Algorithms25. Comprehensive Study of Failed Machine Learning Applications Using a Novel 3C Approach