This book features high-quality research papers presented at the First Doctoral Symposium on Human Centered Computing (HUMAN 2023), jointly organized by Computer Society of India, Kolkata Chapter and Techno India University, West Bengal, on February 25, 2023. This book discusses the topics of modern human centered computing and its applications. The book showcases the fusion of human sciences (social and cognitive) with computer science (humancomputer interaction, signal processing, machine learning, and ubiquitous computing).
An Intelligent Approach for Brain Tumor Classification using different
CNN Variants.- Effective Estimation of Relationship Strength among Facebook
Users Applying Pearson Correlation and Jaccards Coefficient.- Taxonomy of
music genre using machine intelligence from feature melting technique.-
Optimization of intraday trading in F&O on the NSE utilizing BOLLINGER
BANDS.- Identification of mental state through speech using a deep learning
approach.- Intellectual Property in Human Genomics in India.- Performance of
Automated Machine Learning with Neural Network Estimators for the
Classification of PCOS.- Job Recommendation a Hybrid Approach Using Text
Processing.- A study to investigate the existence of monolexemic colour terms
in Dravidian languages: A visual psychophysics approach.- Deep Artificial
Neural Network based Blind Color Image Watermarking.- IoT Based Automatic
Temperature Screening & Alert System for Symptomatic COVID-19 Detection.-
Boosting machine learning algorithm to classify road conditions for
maintenance strategy of flexible pavements.- Hyper parameterized LSTM models
for predicting NSE intraday bias based on global market trends.- Malicious
URL Classification using Machine Learning.- Prognostic stage classification
for invasive breast cancer by analysing affected lymph node.- Survey of Task
Scheduling algorithms for Minimizing Energy in a Cloud Computing
Environment.- Human Stress Detection from SWCT EEG Data Using Optimised
Stacked Deep Learning Model.- Impact of Carbon emission policies on an
imperfect EOQ model under cloud fuzzy environment.- Rule-based investigation
on positive change in air quality at Kolkata during lockdown period due to
covid-19 pandemic.- Performance Analysis of Professional Higher Education
Programmes Driven by Students Perception: A Latent Variable Computation Model
for Industry 5.0.- Graph Based Zero Shot Adverse Drug Reaction Detection From
Social Media Reviews Using GPT-Neo.- Digital Twin for Industry 5.0: Concept,
Methodologies, and Applications.- Application of Machine Learning Technology
for Screening of Mental Health Disorder.- Novel Machine Learning Techniques
for Diabetes Prediction.- Analysis of BLER and throughput during the
coexistence of two 5G NR.- An Assessment of Forest Fire Dataset using Soft
Computing Technique.- Predicting the data science employability rate using
data mining techniques.- Classification of Online Fake News Using N-Gram
Approach and Machine Learning Techniques.- An Edge Assisted Robust Smart
Traffic Management and Signalling System for Guiding Emergency Vehicles
During Peak Hours.- Patent Analysis on Artificial Intelligence in Food
Industry: Worldwide Present Scenario.- Research of the influence of the fuzzy
rules number on the learning of a neuro-fuzzy system.- Optimization of
Traffic Flow Based on Periodic Fuzzy Graphs.- ChatGPT: A OpenAI Platform for
Society 5.0.
Dr. Siddhartha Bhattacharyya [ FRSA, FIET (UK), FIEI, FIETE, LFOSI, SMIEEE, SMACM, SMAAIA, SMIETI, LMCSI, LMISTE] is currently the principal of Rajnagar Mahavidyalaya, Birbhum, India. Prior to this, he was a professor at CHRIST (Deemed to be University), Bangalore, India. He also served as the principal of RCC Institute of Information Technology, Kolkata, India. He has served VSB Technical University of Ostrava, Czech Republic, as a senior research scientist. He is the recipient of several coveted national and international awards. He received the Honorary Doctorate Award (D. Litt.) from the University of South America and the SEARCC International Digital Award ICT Educator of the Year in 2017. He is a co-author of 6 books and the co-editor of 94 books and has more than 400 research publications in international journals and conference proceedings to his credit.
Dr. Jyoti Sekhar Banerjee is currently serving as the head of the Department in the Computer Science and Engineering (AI & ML) Department at the Bengal Institute of Technology, Kolkata, India. Additionally, He is also the professor-in-charge, R & D and Consultancy Cell & Nodal Officer of the IPR Cell of BIT. Dr. Banerjee did his Post-Doctoral Fellowship at Nottingham Trent University, UK, in the Department of Computer Science. He also completed the postgraduate diploma in IPR & TBM from MAKAUT, WB. He has teaching and research experience spanning 18 years and completed one IEI funded project. He is the lead author of A Text Book on Mastering Digital Electronics: Principle, Devices, and Applications and co-editor of the six books. He has also co-authored another book and is currently processing three edited books in reputed international publishers like Springer, CRC Press, De Gruyter, etc.
Debashis De is a professor in the Department of Computer Science and Engineering at the Maulana Abul Kalam Azad University of Technology, West Bengal, India. He received M.Tech. from the University of Calcutta, in 2002. and a Ph.D. from Jadavpur University in 2005. He is a senior member-IEEE, fellow IETE, and life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 20082009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award both in 2005 in New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science, Belgium. In 2016, he received the JC Bose research award from IETE, New Delhi. Dr. Mufti Mahmud is an associate professor of Cognitive Computing at the Computer Science Department of Nottingham Trent University (NTU), UK. He has been the recipient of the top 2% cited scientists worldwide in computer science (2020, 2021), the NTU VC outstanding research award 2021, and the Marie-Curie postdoctoral fellowship. Dr. Mahmud isthe coordinator of the Computer Science and Informatics research excellence framework unit of assessment at NTU and the deputy group leader of the Cognitive Computing and Brain Informatics and the Interactive Systems research groups. His research portfolio consists of over GBP4.0 million grant capture with expertise that includes brain informatics, computational intelligence, applied data analysis, and big data technologies focusing on healthcare applications. He has more than 18 years of academic experience and over 250 peer-reviewed publications.
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