Recent Trends in Engineering, Science and Technology
1st Edition
Published on 19. August 2025
Book
Paperback/Softback
280 pages
978-1-041-12163-3 (ISBN)
Description
AIEST is a leading conference focused on providing a platform to researchers, scholars, engineers, scientists and industrial professionals to gather knowledge and bridge the gap between academia and its industrial aspects, around the world. This conference will be an immersive experience primarily focusing on the latest advancements and researchers in various fields of engineering, including but not limited to Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Communications Engineering, Computer Science Engineering, Information Technology and other interdisciplinary areas. AIEST will cater to the transitional practices where industrial knowledge would be conveyed to academia regarding real-time scenarios and practical findings, thus fostering collaboration and the development of innovative solutions to counter contemporary challenges in engineering and technology.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
257 s/w Abbildungen
257 Illustrations, black and white
Dimensions
Height: 280 mm
Width: 210 mm
Thickness: 15 mm
Weight
701 gr
ISBN-13
978-1-041-12163-3 (9781041121633)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Jyoti Sekhar Banerjee | Siddhartha Bhattacharyya | Debashis De
Recent Trends in Engineering, Science and Technology
E-Book
08/2025
CRC Press
€76.49
Available for download
Jyoti Sekhar Banerjee | Siddhartha Bhattacharyya | Debashis De
Recent Trends in Engineering, Science and Technology
Book
08/2025
1st Edition
CRC Press
€147.50
Shipment within 15-20 days
Jyoti Sekhar Banerjee | Siddhartha Bhattacharyya | Debashis De
Recent Trends in Engineering, Science and Technology
E-Book
08/2025
CRC Press
€76.49
Available for download
Persons
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. 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. 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 completed his post-doctoral fellowship at Nottingham Trent University, UK, in the Department of Computer Science. He also completed a post graduate diploma in IPR & TBM from MAKAUT, WB. He has teaching and research experience spanning 20 years and completed one IEI funded project. He is a member of the CSI, IEEE, ISTE, IEI, ISOC, IAENG and fellow of IETE. He is 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 has also been elected as the Vice Chairman Cum Chairman Elect in the Computer Society of India, Kolkata Chapter for the year 2025-2027.
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 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. Jiinia Datta
received her Bachelor of Technology degree in Electrical Engineering in 2006 from Birbhum Institute of Engineering and Technology, Birbhum, West Bengal. She received his Master of Technology degree in Electrical Engineering in the year of 2008 from Calcutta University. She was awarded PhD in the year 2015 from Calcutta University. At present, she is working as Principal of ABACUS Institute of Engineering and Management, Magra, West Bengal, India. Prior to this, she was engaged as Principal in charge Camellia Institute of Engineering and Technology, Budbud, West Bengal form (April 2018-August 2020) and as an Assistant Professor of Electrical Engineering Department (B.Tech) in Birbhum Institute of Engineering and Technology, Birbhum, West Bengal form (July 2010-April 2018). She was also working as an Assistant Professor of Electrical Engineering Department (B.Tech) in Bengal Institute of Technology and Management, Shantiniketan, West Bengal form (July 2007-June 2010). Her current areas of interest are control system based on modeling of controller, fuzzy control etc.
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 telecommunica?tion 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. Jan Platos
is a professor at the Department of Computer Science and the Dean of the Faculty of Electrical Engineering and Computer Science, VSB-TUO, Czech Republic. He has co-authored more than 240 scientific articles published in proceedings and journals. His primary fields of interest are machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction.
Dr. Muhammad Mujtaba Asad
is serving as an Assistant Professor and Lead Researcher of Educational Technologies and TVET Research at Department of Education, Sukkur IBA University, Pakistan. He is also serving as an honorary international faculty at the American University of Nigeria. Dr. Asad has national and international working experience of more than 13 years in the industrial and educational sectors in the domain of educational technologies for teacher education, digital equity and inclusion, virtual and augmented reality for experiential learning, work and product-based education, and technical and vocational education. Dr. Asad has published more than 80 research articles (WoS & Scopus Indexed) in reputed international journals and conferences worldwide. He has also published three books that focus on the observational skills of competent educators and Innovative Educational Technologies and pedagogies for Higher Education 4.0.
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. 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. 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 completed his post-doctoral fellowship at Nottingham Trent University, UK, in the Department of Computer Science. He also completed a post graduate diploma in IPR & TBM from MAKAUT, WB. He has teaching and research experience spanning 20 years and completed one IEI funded project. He is a member of the CSI, IEEE, ISTE, IEI, ISOC, IAENG and fellow of IETE. He is 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 has also been elected as the Vice Chairman Cum Chairman Elect in the Computer Society of India, Kolkata Chapter for the year 2025-2027.
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 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. Jiinia Datta
received her Bachelor of Technology degree in Electrical Engineering in 2006 from Birbhum Institute of Engineering and Technology, Birbhum, West Bengal. She received his Master of Technology degree in Electrical Engineering in the year of 2008 from Calcutta University. She was awarded PhD in the year 2015 from Calcutta University. At present, she is working as Principal of ABACUS Institute of Engineering and Management, Magra, West Bengal, India. Prior to this, she was engaged as Principal in charge Camellia Institute of Engineering and Technology, Budbud, West Bengal form (April 2018-August 2020) and as an Assistant Professor of Electrical Engineering Department (B.Tech) in Birbhum Institute of Engineering and Technology, Birbhum, West Bengal form (July 2010-April 2018). She was also working as an Assistant Professor of Electrical Engineering Department (B.Tech) in Bengal Institute of Technology and Management, Shantiniketan, West Bengal form (July 2007-June 2010). Her current areas of interest are control system based on modeling of controller, fuzzy control etc.
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 telecommunica?tion 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. Jan Platos
is a professor at the Department of Computer Science and the Dean of the Faculty of Electrical Engineering and Computer Science, VSB-TUO, Czech Republic. He has co-authored more than 240 scientific articles published in proceedings and journals. His primary fields of interest are machine learning, artificial intelligence, industrial data processing, text processing, data compression, bioinspired algorithms, information retrieval, data mining, data structures, and data prediction.
Dr. Muhammad Mujtaba Asad
is serving as an Assistant Professor and Lead Researcher of Educational Technologies and TVET Research at Department of Education, Sukkur IBA University, Pakistan. He is also serving as an honorary international faculty at the American University of Nigeria. Dr. Asad has national and international working experience of more than 13 years in the industrial and educational sectors in the domain of educational technologies for teacher education, digital equity and inclusion, virtual and augmented reality for experiential learning, work and product-based education, and technical and vocational education. Dr. Asad has published more than 80 research articles (WoS & Scopus Indexed) in reputed international journals and conferences worldwide. He has also published three books that focus on the observational skills of competent educators and Innovative Educational Technologies and pedagogies for Higher Education 4.0.
Content
1 Demand-driven automatic soil cleaning for PR enhancement of a
roof-top solar PV power plant
2 Application of artificial neural networking for the estimation of illuminance and
energy efficiency parameters of public road lighting systems
3 LED based energy efficient lighting design in a metro railway system
4 FFT based comparative performance study of electric vehicle charging system
5 Real time detection and classification of dust and shading on solar panels
using multi agent system and hybrid machine learning
6 A stochastic approach for optimal scheduling in mixed generation
7 Development of accurate fault diagnosis system for electric vehicle
pertained lithium-ion batteries using deep neural network
8 Development of sensor-less speed estimation method of IFOC based
IM drive using genetic algorithm
9 Comparative performance analysis of novel hybrid approach in
sustainable PV MPPT architecture
10 Evolution of linear electrical model of non-branded white LEDs and
its application in the field of dimmable driver design
11 Comprehensive study of encryption algorithms for obtaining privacy
protection in smart grids
12 Optimal design parameters of a single-phase small transformer by different
optimization techniques
13 Torque ripple control using hybrid converter in light weight electric vehicle
14 Optimizing electric vehicle performance by using MATLAB for
NEDC urban and suburban drive cycle
15 Safeguarding mechanisms against cyberattacks in smart grids employing
grid forming inverters: ensuring stability and resilience
16 Techno-economic analysis of off-grid PV systems and batteries vs.
diesel generators: life span and cost-effectiveness
17 Transforming waste into energy through a prototype model for
sustainable and future-oriented solutions
18 Photoplethysmograph based biomedical signal analysis using
machine learning and vital sign monitoring using a web application
19 Performance analysis of nine level- inverter under different level shift modulation
technique with variable frequency
20 Optoelectronic characteristics of exotic GaN/AlGaN based avalanche
photodetector
21 Realization of an innovative high efficiency n-type TOPCon solar cell
using a lower band gap dielectric oxide
22 Investigating the photovoltaic performance and thermal stability of
AZO/Si hetero-junction solar cells with an analytical approach
23 Safe terrestrial route recommendation system using geographical
information system
24 Electromagnetic imaging system for monitoring hip stem micromovements
25 A comparative analysis of liquid level transmitter using force resistive
sensor and regression technique of machine learning
26 Prediction of external quantum efficiency for organic tin based perovskites
27 Beyond sight: ML techniques for image classification
28 Analysis of inductor topologies experimentally: a modification of
triangular model
29 Thermal behaviour of a 3D printing nozzle
30 Mechanical properties and rheological investigation of aluminum A356:
dual approach through experimental and numerical simulations
31 Numerical modeling of thermal phenomena and optimization of process
parameters in friction stir welding of ZE42 magnesium plates
32 Heat transfer and failure analysis in a Ti-6Al-4V gas turbine compressor
stator blade
33 Optimizing fluid delivery technique for enhanced grinding of titanium grade 5:
a multi-criteria decision-making approach using combined AHP-TOPSIS
method
34 Study on hole-making in soda-lime glass under varying abrasive jets with
SiC abrasive at 4 kg/cm2 system pressure
35 Experimental investigation on high-speed swine bone drilling for force and
temperature minimization
36 Indigenization for Indian defense forces: opportunities & challenges of
smart materials
37 Comparative analysis of genetic algorithms and CDS for optimizing flow shop
scheduling under industrial constraints
38 Advancing software quality assurance: methods, security, and AI impact
39 Applicability of big data in automation industries- intellectual
property management
40 Machine learning based rainfall prediction for weather forecasting:
a comparative approach
41 CampusConnect: multi-modal admission assistant
42 Study on engine performance using various blends of jatropha and
lemon peel oil biodiesel with diesel
43 The impact of crude oil prices on exchange rates: an econometric analysis
44 The impact of regularization on financial forecasting models
45 Predicting bike sharing demand: analyzing weather, time, and seasonal influences
46 Waste to wealth: development of building block using plastic medical waste
and straw-enhanced clay
47 Geospatially augmented flood risk assessment incorporating machine learning
approaches: a case study in the Teesta river basin
48 Structural behavior and ductility variations in multi-story RC frames under
seismic loading
49 Possible challenges in assigning IPR to AI driven inventions
roof-top solar PV power plant
2 Application of artificial neural networking for the estimation of illuminance and
energy efficiency parameters of public road lighting systems
3 LED based energy efficient lighting design in a metro railway system
4 FFT based comparative performance study of electric vehicle charging system
5 Real time detection and classification of dust and shading on solar panels
using multi agent system and hybrid machine learning
6 A stochastic approach for optimal scheduling in mixed generation
7 Development of accurate fault diagnosis system for electric vehicle
pertained lithium-ion batteries using deep neural network
8 Development of sensor-less speed estimation method of IFOC based
IM drive using genetic algorithm
9 Comparative performance analysis of novel hybrid approach in
sustainable PV MPPT architecture
10 Evolution of linear electrical model of non-branded white LEDs and
its application in the field of dimmable driver design
11 Comprehensive study of encryption algorithms for obtaining privacy
protection in smart grids
12 Optimal design parameters of a single-phase small transformer by different
optimization techniques
13 Torque ripple control using hybrid converter in light weight electric vehicle
14 Optimizing electric vehicle performance by using MATLAB for
NEDC urban and suburban drive cycle
15 Safeguarding mechanisms against cyberattacks in smart grids employing
grid forming inverters: ensuring stability and resilience
16 Techno-economic analysis of off-grid PV systems and batteries vs.
diesel generators: life span and cost-effectiveness
17 Transforming waste into energy through a prototype model for
sustainable and future-oriented solutions
18 Photoplethysmograph based biomedical signal analysis using
machine learning and vital sign monitoring using a web application
19 Performance analysis of nine level- inverter under different level shift modulation
technique with variable frequency
20 Optoelectronic characteristics of exotic GaN/AlGaN based avalanche
photodetector
21 Realization of an innovative high efficiency n-type TOPCon solar cell
using a lower band gap dielectric oxide
22 Investigating the photovoltaic performance and thermal stability of
AZO/Si hetero-junction solar cells with an analytical approach
23 Safe terrestrial route recommendation system using geographical
information system
24 Electromagnetic imaging system for monitoring hip stem micromovements
25 A comparative analysis of liquid level transmitter using force resistive
sensor and regression technique of machine learning
26 Prediction of external quantum efficiency for organic tin based perovskites
27 Beyond sight: ML techniques for image classification
28 Analysis of inductor topologies experimentally: a modification of
triangular model
29 Thermal behaviour of a 3D printing nozzle
30 Mechanical properties and rheological investigation of aluminum A356:
dual approach through experimental and numerical simulations
31 Numerical modeling of thermal phenomena and optimization of process
parameters in friction stir welding of ZE42 magnesium plates
32 Heat transfer and failure analysis in a Ti-6Al-4V gas turbine compressor
stator blade
33 Optimizing fluid delivery technique for enhanced grinding of titanium grade 5:
a multi-criteria decision-making approach using combined AHP-TOPSIS
method
34 Study on hole-making in soda-lime glass under varying abrasive jets with
SiC abrasive at 4 kg/cm2 system pressure
35 Experimental investigation on high-speed swine bone drilling for force and
temperature minimization
36 Indigenization for Indian defense forces: opportunities & challenges of
smart materials
37 Comparative analysis of genetic algorithms and CDS for optimizing flow shop
scheduling under industrial constraints
38 Advancing software quality assurance: methods, security, and AI impact
39 Applicability of big data in automation industries- intellectual
property management
40 Machine learning based rainfall prediction for weather forecasting:
a comparative approach
41 CampusConnect: multi-modal admission assistant
42 Study on engine performance using various blends of jatropha and
lemon peel oil biodiesel with diesel
43 The impact of crude oil prices on exchange rates: an econometric analysis
44 The impact of regularization on financial forecasting models
45 Predicting bike sharing demand: analyzing weather, time, and seasonal influences
46 Waste to wealth: development of building block using plastic medical waste
and straw-enhanced clay
47 Geospatially augmented flood risk assessment incorporating machine learning
approaches: a case study in the Teesta river basin
48 Structural behavior and ductility variations in multi-story RC frames under
seismic loading
49 Possible challenges in assigning IPR to AI driven inventions