Recent Trends in Data Analytics and Computing

1 Enhancing patient-entered healthcare: utilizing metaverse and blockchain for secure
and reliable data sharing
Roshni Afshan, Suhail Rashid Wani, Suhail Nazir Taili and Shobhit Agrawal
2 Trash tracker-an AI-enhanced waste surveillance and notification system
Shreya Garg, Shivani Yadav, Saloni and Waseem Ahmed
3 Optimizing rail steel strength prediction: a novel genetic algorithm-ANN approach for
microstructure analysis of pearlite phase
Amit Tiwari, Himanshu Vasnani, Payal Bansal and Veena Yadav
4 An intelligent clinical decision support for heart disease prediction using machine learning
Divyansh Pandey, Waseem Ahmed, Manish Kumar Pandey and Md Hasmat Ansari
5 Adaptive LSTM models for robust stock price prediction under market volatility
Raghunath Maji, Rahul vadisetty, Triyasa Barat, Dipankar Barui and
Biswajit Gayen
6 Smart applications and challenges of Internet of Things: a review
Debrupa Pal, Nirmalya Chowdhury and Sreya Dey
7 Fabrication of rain sensing RPM limiter for city and highway speed control
Tirthadeep Ghosh, Rajat Naskar,Anushka Pal, Shankha Ghosh,
Kalyan Mukherjee and Pritam Bhattacharjee
8 Optimizing academic performance in hybrid learning via clustering-guided with
data mining techniques in higher education system
Brijesh Kumar Verma, Nidhi Srivastav and Ajay Kumar Bharti
9 AI-driven cloud shield: a comprehensive review of machine learning approaches
for cloud cyber security
Sathish, K., Rajesh Sharma, R., Revathi. S., Ellappan, V.,
Akey Sungheetha and Premkumar, M.
10 AI-powered privacy shields and machine learning approaches for securing
digital money transactions: a systematic review
Rajesh Sharma, R., Akey Sungheetha, Saranya, S., Ellappan, V., Priyatharsini, C.
and G. S. Pradeep Ghantasala
11 TransformoDocs: a multi-modal, self-improving document conversion system with
adaptive capabilities
Jyotirmoyee Mandal, Debjyoti Chowdhury, Kunal Halder and Kakali Das
12 Comparative evaluation of pentagon, hexagon, and heptagon microstrip patch
antennas for 5G applications
Dipankar Saha, Nilanjan Mukhopadhyay, Saswati Dey, Prodip Deb and Sudip Mandal
13 Deep learning based fruits recommendation system by considering on individual
health conditions and dietary needs
Ayushi Dutta, Navraj Ghatani, Rohan Prasad, Ujjawal Sharma and Nandan Banerji
14 Gender differences in thermal comfort: a comprehensive review
Dinesh Kalla, Rahul Vadisetty, Subhajit Banerjee, Tanbir Islam and Gour Gopal Jana
15 An embedded system to identify the damage brain regions due to stroke, tumor and
injury the known cause of the epilepsy
Khakon Das, Ashish Khare, Nilesh Anand Srivastava and Aniruddha Nag
16 Impacts of as composition fraction on sensitivity in dielectric modulated trench
junctionless InAsx
Sb1-x DG FET biosensors
Swagata Bhattacherje, Ananya Barman, Bidyut Sarkar and Rinku Sarkar
17 Meditox: integrating machine learning and molecular data for accurate drug
toxicity prediction
Gaurav Prajapati, Utkarsh Dixit and Harshit Aggarwal
18 Enhancing photos with deep learning to eliminate block artefacts
Devadatta Das, Sabyasachi Samanta and Pinaki Satpathy
19 Nanotechnology: a sustainable and ecofriendly approach in wastewater treatment
and quality monitoring
Sattik Mondal, Raghunath Maji, Arna Bhaumik, Sandeepan Saha and Biswajit Gayen
20 Optimal load balancing technique for energy-efficient fog computing architecture
Dipankar Barui, Antara Ghosh, Raghunath Maji, Munmun Gorai and Shantanu Raut
21 Performance assessment of PID and sliding mode controllers for DC motor
speed regulation
Indrajit Pandey and Sreya Ghosh
22 Implementation of carry skip adder with speed and less delay
Kandukuri Srinivas, Bijili Divakar, Asam Saipriya and Mokile Sidhu
23 Analysis of precision cardiovascular disease classification using machine
learning techniques
Ramadevi, C., Narmadha, T. V., Marshina, D. and Neelam Sanjeev Kumar
24 Segmentation and LSB based fragile medical image watermarking using
differential evolution
Sharbari Basu, Koustavi Das, Abhishek Basu and Tirtha Sankar Das
25 Hierarchical vision transformers for pneumonia classification: a study on
hyperparameter impact
Ramesh Munirathinam, Yabez Davidraj, P., Neelam Sanjeev Kumar and Rajavel, M .
26 Sustainable soil stabilization: combining lime and jute fiber for expansive
soil improvement
Sandeepan Saha, Sandip Sarkar, Biswajit Gayen, Subimal Nandi and Antara Ghosh
27 Psychological effects of technology addiction using KNN, SVM, random forest
and Naïve Bayes
Santosh Reddy, P., Amritha, A. and Ananya Srihaana
28 Delay driven congestion control approach under smart virtual parallel TCP
application
Keerti Mishra, Nitin Jain and Saurabh Bhutani
29 Generative AI and deep learning for phishing detection: a comparative analysis
V. Sri Bharath, S. Srikanth, S. Aaron Rohan Raj, Vaibhav Srivastava and Priyanka Desai
30 KernelSwinNet: a Swin Transformer-based deep learning framework for brain tumor
segmentation with dual attention and kernelized feature fusion
Vikash Verma and Pritaj Yadav
31 Employing modified VGG-19 for multi-class classification of skin cancer with
model hyperparameters tuning
Ruchi Patel, Gaurav Choubey, Ashok Kumar Verma, Preeti Rai and Yogesh Jain
32 Enhancing energy efficiency in vapor compression refrigeration: a review of
waste heat utilization techniques
Rajarshi Chakraborty, Tanbir Islam, Subhajit Banerjee, Aman Ahamed Mokami,
Subarna Sardar and Goutam Roy
33 Airplane seating assignment greedy algorithms that separate passengers likely
to be susceptible to infectious disease from those likely to be infectious
Kishore Kumar, S., S. Praveenkumar, T. Aravind and K. Anitha
34 Blockchain- empowered metaverse: decentralized crowdsourcing and marketplace
for trading machine learning data and models
Janani, B. S., S. Praveenkumar, T. Aravind and K. Anitha
35 Comparative performance analysis of dockerized web applications on AWS and
oracle cloud
Sachin Kumar Bokde, Ashok Kumar Verma, Ruchi Patel, Sharda Patel and Yogesh Jain
36 Employing generative adversarial techniques to address imbalanced datasets
Nitin Kumar Jharbade and Harsh Mathur
37 Pioneering employee healthcare: dynamic workforce optimization
Harinesh, S., Harsan Raj, R. and Suresh , D.
38 Accelerating object detection with XNOR-based optimized CNN architecture and
real-time processing
Jeffin, J., Marunsriram, M. and Jeba Johannah, J.
39 Optimized booth multiplier architecture for enhanced performance in FPGA designs
Nithish Selvaganesh, P., Naveen, V. K. and Jeba Johannah, J.
40 Precision diagnosis: an automated method for detecting congenital heart disease
in children from phonocardiogram signals employing deep neural network
Hemalatha, G., S. Praveenkumar, T. Aravind and K. Anitha
41 Federated transfer learning for Alzheimer’s disease classification using MRI images
Jahnabi Medhi, Amitava Nag and Anup Kumar Barman
42 AI-driven anomaly detection in secure database access logs using python
Rahul Vadisetty and Anand Polamarasetti
43 Performance analysis of AI-optimized query execution in simulated cloud
data warehousing
Teja Krishna Kota
44 AI-based schema evolution detection and data consistency checking in SQL to
cloud migrations
Teja Krishna Kota
45 Efficient design of grid-connected PV networks using particle swarm optimization:
a cost-effective solution
Saumen Dhara, Rudrajit Datta, Shantanu Naskar, Rahul Mondal and Sandip Moyra
46 Designing a comprehensive model to handle imbalanced data classification using
hybrid Gaussian noise up-sampling and an optimized classifier
Pijush Dutta, Jyoti Sekhar Banerjee, Arpita Chakraborty and Haipeng Liu
47 Face recognition system using Dlib and face-recognizer module
Sujoy Das, Arka Gain, Swastika Mukherjee, Pratyasha Paul and
Debjani Chakraborti

Biography

Dr. Pijush Dutta works as an Assistant professor and head at the Department of Electronics & Communication Engineering, Greater Kolkata College of Engineering and Management, JIS Group, West Bengal, India. He has more than 12 years of teaching & more than 8 years of research experience. He completed his B. Tech in 2007, M. Tech in 2012 & Ph.D. in 2022. Dr. Dutta's research interests include Sensor and transducer, nonlinear process control systems, Mechatronics systems, optimization algorithms, intelligent systems, Internet of Things (IoT), machine learning, and Deep learning. He has 14 International and national patents, he has published more than 100 research articles in his credit, published in international, and national journals & conference proceedings. He has 10 edited & authored books & 21 book chapters under reputed book publishers Scrivener, Nova, CRC Press, Elsevier & Springer. Dr. Dutta has also been invited as session chair and invited speaker at several international Conferences. Moreover, Dr. Dutta has also been awarded by different international and national organizations regarding his credentials.

Dr. Jyoti Sekhar Banerjee is currently serving as the Associate Professor & Head of the Department in the Computer Science and Engineering (AI & ML) Department at the Techno Bengal Institute of Technology (formerly known as Bengal Institute of Technology), Kolkata, India. He is also the Professor-in-Charge, R & D and Consultancy Cell & Nodal Officer of the IPR Cell of BIT. Since 2024, he also works as a Remote Researcher in the Internet of THings & AppliCAtions Lab (ITHACA) at the Department of Electrical and Computer Engineering, University of Western Macedonia, Greece. Dr. Banerjee is also working as the Adjunct Research Faculty under the Lincoln Global Postdoctoral Researcher (LGPR) Programme at Lincoln University College, Malaysia. He is the former Remote Research Fellow of the Cognitive Computing and Brain Informatics Research Group (CCBI) at Nottingham Trent University (NTU), UK. Dr. Banerjee did his Post-Doctoral Fellowship at Nottingham Trent University, UK, in the Department of Computer Science. He also completed the Post Graduate Diploma in IPR & TBM from MAKAUT, WB. He has teaching and research experience spanning 21 years and completed one IEI funded project. He is the present Secretary-cum-Treasurer of the ISTE WB Section and Secretary of the IETE, Kolkata Centre. He is the Immediate Past Secretary of the Computer Society of India, Kolkata Chapter. Dr. Banerjee is also the Vice Chairman Cum Chairman Elect in Computer Society of India, Kolkata Chapter for the year 2025-2027.

Prof. (Dr.) Siddhartha Bhattacharyya [FRSA, FIET (UK), FIEI, FIETE, FSCRS, LFOSI, SMIEEE, SMACM, SMAAIA, SMIETI, LMCSI, LMISTE] is currently a senior researcher at VSB – Technical University of Ostrava, Ostrava, Czech Republic. He is also a scientific advisor at Algebra Bernays University, Zagreb, Croatia. Prior to this, he was the Principal of Rajnagar Mahavidyalaya, Birbhum, India. Before 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 was appointed as the ACM Distinguished Speaker for the tenure of 2018-2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for 2021-2024. He is a co-author of six books and the co-editor of 106 books and has more than 400 research publications in international journals and conference proceedings to his credit.

Dr. 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 an M.Tech. degree 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 2008–2009 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. Panagiotis Sarigiannidis is the Director of the ITHACA lab, co-founder of the 1st spin-off of the University of Western Macedonia: MetaMind Innovations P.C., and Full Professor in the Department of Electrical and Computer Engineering in the University of Western Macedonia, Kozani, Greece. He received the B.Sc. and Ph.D. degrees in computer science from the Aristotle University of Thessaloniki, Thessaloniki, Greece, in 2001 and 2007, respectively. He has published over 360 papers in international journals, conferences and book chapters, including IEEE Communications Surveys and Tutorials, IEEE Transactions on Communications, IEEE Internet of Things, IEEE Transactions on Broadcasting, IEEE Systems Journal, IEEE Wireless Communications Magazine, IEEE Open Journal of the Communications Society, IEEE/OSA Journal of Lightwave Technology, IEEE Transactions on Industrial Informatics, IEEE Access and Computer Networks. He received six best paper awards and the IEEE SMC TCHS Research and Innovation Award 2023. He has been involved in several national, European and international projects, coordinating and technically leading numerous national and European projects including H2020, Horizon Europe, Erasmus+ and operational programs. His research interests include telecommunication networks, internet of things and network security. He is an IEEE member and participates in the Editorial Boards of various journals like IEEE Transactions on Communications, IET Networks, International Journal of Communication Systems and International Journal of Information Security.

Dr. Mohamed Lahby is Associate Professor at the Higher Normal School (ENS) University Hassan II of Casablanca, Morocco. His PhD in Computer Science from Faculty of Sciences and Technology of Mohammedia, University Hassan II of Casablanca, in 2013. His research interests are wireless communication and network, mobility management, QoS/QoE, Internet of things, Smart cities, Optimization and Machine learning. He has published more than 60 papers (book chapters, international journals, and conferences), 10 edited books, and 1 authored book. He has served and continues to serve on executive and technical program committees of numerous international conferences such as IEEE PIMRC, ICC, NTMS, IWCMC, WINCOM, ISNCC. He also referees many prestigious Elsevier journals : Ad Hoc Networks, Applied Computing and Informatics and International journal of disaster risk reduction. He organized and participated more than 40 conferences and workshops. He is the chair of many international workshops and special sessions such as MLNGSN’19, CSPSC’19, MLNGSN’20, MLNGSN’21, AI2SC ’20, WCTCP’20, CIOT’22, ISGTA’23 and ISGAIE’25

Dr. Shashi Kant Gupta is a distinguished academic and researcher in the field of Computer Science and Engineering, with a prolific career spanning over a decade. His extensive contributions to academia and industry are marked by his roles in various prestigious institutions and his leadership in innovative research projects. Prof. Gupta’s work primarily focuses on Cloud Computing, Big Data Analytics, IoT, and Computational Intelligence with multidisciplinary areas in which he has made significant advancements. Prof. Gupta is currently serving as the Adjunct Faculty, Faculty of Information Technology, Victorian Institute of Technology, Level 14,123 Queen Street, Melbourne VIC 3000, Australia. In addition, he is currently serving as a Post-Doctoral Fellow and Researcher at Eudoxia Research University, USA, where he is involved in cutting-edge research in Computer Science and Engineering. He serves as Adjunct Professor at Lincoln University College (Malaysia), Chitkara University (India), Saveetha School of Engineering (India), and MAAUN (Nigeria), among others. He has published widely in SCOPUS/SCI journals, holds international patents, and edits books with Springer, CRC, Wiley, and Taylor & Francis. He is a senior editor, senior IEEE member, and recipient of multiple international awards