Proceedings of International Conference on Recent Trends in Computing

Rajendra Prasad Mahapatra is the Professor & Dean of SRM Institute of Science and Technology, Delhi-NCR Campus. He is a pioneer in the field of computer science and engineering. He has vast experience spanning 22 years as an academician, researcher, and administrator. During his 22 years of experience, he has worked in India and abroad. He has been associated with Mekelle University, Ethiopia, for more than two years. Prof. R.P. Mahapatra has authored more than 100 research papers, which are published in international journals like Interscience, Emerald, Elsevier, IEEE, and Springer. He has authored ten books, ten book chapters, and five granted patents. His 06 students have successfully completed their Ph.D. under his guidance and 8 students are pursuing their Ph.D. He is a fellow member of I.E. (India), senior member of IACSIT, Singapore, life member of ISTE, Senior member of IEEE, and many more reputed bodies. Sateesh Kumar Peddoju is an associateprofessor at Indian Institute of Technology Roorkee, India. He has publications in reputed journals like IEEE TIFS, IEEE Access, IEEE Potentials, MTAP, WPC, IJIS, and PPNA, and conferences like ACM MobiCom, IEEE TrustCom, IEEE MASS, ACM/IEEE ICDCN, and ISC. He is the co-author of the book “Security and Storage Issues in the Cloud Environment” and co-editor of the book “Cloud Computing Systems and Applications in Healthcare.” He is serving as a reviewer for IEEE TCC, IEEE TSC, IEEE Access, MTAP, COSE, COMNET, JNCA, and CLUS. He is the program chair for IEEE MASS 2020 and founding steering committee chair for SLICE 2018. He is on board for IEEE SLICE, IEEE DSEA, IEEE MASS, IEEE ATC, IEEE SmartComp, IEEE iNIS, and IoTSMS. He has received grants from NMHS, MEITY, Railtel, MHRD, DST, IBM, Samsung, CSI, and Microsoft. Sudip Roy is an assistant professor in the Department of Computer Science and Engineering of Indian Institute of Technology (IIT) Roorkee, India, since July2014. He is also an associated faculty member of the Centre of Excellence in Disaster Mitigation and Management (CoEDMM) in IIT Roorkee, India, since April 2015. He is a JSPS fellow (long-term) in the College of Information Science and Engineering, Ritsumeikan University, Japan, during April 2021 to January 2022. He has authored one book, one book chapter, two granted US patents including 25 research articles in international peer-reviewed journals and 40 papers in international peer-reviewed conference proceedings. His current research interests include computer-aided design for digital systems, electronic design automation (EDA) for microfluidic lab-on-a-chips, algorithm design, optimization techniques, and information and communication technologies (ICT) for disaster risk reduction (DRR). Pritee Parwekar is an associate professor in Department of Computer Science and Engineering. She has been an academician for last 21 years. She holds a life membership of IEEE,ACM, CSI, and ISTE. She has also contributed as Computer Society of India (CSI) State Student Coordinator for two years. Her research interests include Internet of things, cloud computing, machine learning, wireless sensor networks, software engineering, information retrieval systems, social media, and data mining. She has published more than 50 research papers in peer-reviewed journals with SCI, SSCI, Scopus Index, and in conferences. She has been a resource person for workshops, FDPs, and international conferences. She has been a program chair and organizing chair of international conferences. She has guided M.Tech., B.Tech. students, and Ph.D. scholars.

• Crime Analysis using Graph based Feature Selection.- Object Detection Framework using OpenCV for Low Cost and High Performance.- Employee & Client Analytical Tool.- RNN Learning for Dynamic Selection of Channel Access Scheme in FANETs.- A Crime Knowledge Discovery Scheme based on Entity Recognition, Relation Extraction and Development of Criminal Profiling using Modus Operandi.- Optimized Biometric Key Management System for Enhanced Security.-  Human Posture Identification and Recognition using Deep Learning Techniques.- Twitter Sentiment Analysis using different Machine Learning Techniques.- Exploring Empirical Mode Decomposition for Music Genre Classification using Deep Learning.- A Comparative Analysis of Fog Computing's Problems, Challenges and Future Directions.- Explainable Artificial Intelligence Insight: An Orderly Survey.- Deep Learning Based Sign Language Translator.- Analysis of arrhythmia from electrocardiogram (ECG) data using ML framework.- Brain Tumor Detection using Quantum Neural Network.- Augmented Reality Based Application for Indian Monuments Fog Obscurity Mitigation.