There has been rapid research and development in technologies related to Electronics, Electrical, Biotechnology, its allied areas during the past few years and the way it impacted human lives.
The 2nd International Conference on Innovative Trends in Electrical, Electronics and Bio-Technology Engineering (ICITEEB 2025) is a multidisciplinary book designed to foster collaboration and exploration at the intersection of the dynamic fields of Semiconductor Devices & Electronic Circuit Design, Machine Vision & Signal Processing, Communication Technologies and Systems, Electromagnetic, RF, Microwave & Wearable Technology, Nano-Technologies & IC Fabrication, Biotechnology, Automation & Robotics. The book seeks to facilitate the exchange of knowledge, ideas, and best practices to address the evolving challenges and opportunities in these interconnected domains.
ICITEEB 2025 features high-quality research contributions spanning Smart Power and Sustainable Energy Systems, Semiconductor Devices and Fabrication Technologies, Advanced Signal and Image Processing, Intelligent Communication Systems, IoT and Embedded Applications, Biomedical and Bio-Technology Innovations, Mechatronics, and Electric/Hybrid Mobility Solutions. The presentations and discussions reflect the rapidly accelerating pace of global technological innovation and the growing need for integrated, cross-disciplinary research.
This book is a key resource for leaders, academia, professionals, and researchers in the field of Electrical Engineering, Electronics Engineering and related fields.
Chapter 1 Applications, challenges and future of wireless sensors in
internet of things
Chapter 2 Stomach cancer prediction using deep learning
algorithm
Chapter 3 Farm land protection from rodents using YOLOv8 in night
vision
Chapter 4 An intelligent parking spot allocation system using Verilog
for user-specific prioritization
Chapter 5 Design of a reconfigurable
controller for image acquisition and processing system
Chapter 6 Feature
selection for efficient DoS attack using machine learning
Chapter 7
OrbiTrack: AI-powered object tracking and navigation system
Chapter 8
Automatic fire fighter robot using Arduino
Chapter 9 Predicting heart disease
using machine learning: A comparison of classification models
Chapter 10 Real
time threat detection system for campus security using integrated computer
vision techniques
Chapter 11 Aavartak: Paving the path for sustainable
E-waste management
Chapter 12 mmWave MIMO-OFDM in 5G and beyond: Challenges,
breakthroughs, and future directions
Chapter 13 Performance evaluation of
optical fiber communication systems using numerical simulation
Chapter 14
Transient appraisal of solar insolation utilizing ANN framework through
diverse configurations of meteorological variables
Chapter 15 Share
sustenance: Bridging food surplus and insecurity for a sustainable future
Chapter 16 Compact hollow circular microstrip patch antenna for UWB
communication: Design and performance evaluation
Chapter 17 Quantum computing
in image recognition: A comparative analysis with classical models
Chapter 18
AI image enhancer: Detecting and refining AI-generated images
Chapter 19
Tactile-feedback driven grasping: A ROS2-based analysis of robotic grippers
with FEA validation
Chapter 20 Innovations in agriculture: Review of machine
learning and deep learning-based approaches to crop yield prediction
Chapter
21 Anomaly detection in network traffic using isolation forest: A machine
learning approach
Chapter 22 Quantum-AI equalization for ultra-reliable WDM
systems
Chapter 23 Performance optimization of a 250kW PV array connected to
a 25kV grid in MATLAB
Chapter 24 Empowering rural communities: Exploring the
potential of mHealth solutions
Chapter 25 Artificial intelligence based
license plate digit recognition system
Chapter 26 Unveiling research trends
in monoclonal antibodies usage in multiple sclerosis and immunosuppression: A
bibliometrics approach
Chapter 27 Optimized dual-band frequency U-shaped slot
squared microstrip patch antenna
Chapter 28 Post-irrigation monitoring
systems: Analyzing crop stress and soil moisture for irrigation optimization
Chapter 29 AI-powered personalised wardrobe planner
Chapter 30 Health
connect: A cloud-based facial recognition attendance system for healthcare
facilities
Chapter 31 Generating electricity using renewable energies
Chapter
32 Optimal participant selection in a blockchain framework: AHP-TOPSIS
multi-criteria decision-making approach
Chapter 33 Novel quantum positive
spiritual teacher-student association inspired optimization and advanced
aspects of AI hallucinations-based algorithm
Chapter 34 Novel quantum based
influence of music on humans inspired optimization algorithm
Chapter 35 From
simulation to reality: The role of VR in controlling autonomous vehicles
Chapter 36 Temperature control for maximizing electric vehicle battery
efficiency and safety
Chapter 37 Robotic process automation and artificial
intelligence in industry 4.0
Chapter 38 AI-driven vehicle and driver
monitoring with CAN network-enabled HMI interface
Chapter 39 Modelling of
real time programmable radar waveform generation
Chapter 40 Balancing
innovation and human touch: The impact of robotic technology on hotel guest
experience and staff dynamics
Chapter 41 New research opportunities in
computer arithmetic addressing carbon footprint reduction for development of
sustainable computational applications Survey
Chapter 42 Charge-sensitive
preamplifier design in front-end application-specific integrated circuit for
high-speed applications
Chapter 43 IoT based system for NICU Patient
Monitoring
Chapter 44 IoT-based security system for intrusion detection in
restricted airbase
Chapter 45 AR based mapping and navigation system using
SLAM
Chapter 46 Sustainable long-term wind speed forecasting using hybrid
LSTM and random forest regression models
Chapter 47 Early detection of acute
lymphoblastic leukemia using deep ensemble learning
Chapter 48 Smart
drivetrain for autonomous agricultural tractor with soil moisture monitoring
and precision irrigation
Chapter 49 Deep learning for face based age
estimation
Chapter 50 Enhancing security with session password-based systems:
An advanced pair-based authentication approach
Chapter 51 A review on UWB
antennas with notched band characteristics and MIMO technology
Chapter 52
Kidney lesion segmentation using U-Net deep learning model
Chapter 53
Phytotherapeutic potential of Urtica dioica (Stinging nettle) as a natural
antibacterial agent against wound derived pathogens: A review
Chapter 54
Exploring smart technologies for enhancing energy efficiency in computing
environments
Chapter 55 Smart computing for smart cities: The role of
industry 5.0 in urban innovation
Chapter 56 Intelligent crowd management and
temperature control system in metro
Chapter 57 Skin disease detection
utilizing deep learning methods
Chapter 58 SMART AID Vision control system
using YOLOv8, ultrasonic sensors, Arduino Uno, HC-05 Bluetooth, and GPS
module
Chapter 59 Design and implementation of a machine learning-based
algorithm for skin cancer detection
Chapter 60 Spatio-Temporal Graph Neural
Networks (ST-GNN) for dynamic relationships and analysis of stream data sets
Chapter 61 Alphabet recognition of American sign language by using machine
learning
Chapter 62 Analyse and optimizing Convolutional Neural Networks
(CNN) and Vision Transformer (ViT) based flood mapping techniques using
satellite images
Chapter 63 Optimizing I2C protocol efficiency through state
machine simplification and advanced timing techniques
Chapter 64 GEBV of
Oryza Sativa height and yield using machine learning techniques
Chapter 65 A
hybrid stacking model for water quality assessment: Integrating deep learning
and machine learning
Chapter 66 Data cleanser and pre-processing toolkit for
data science and applications
Chapter 67 Crop yield prediction using machine
learning techniques
Chapter 68 Adaptive machine learning techniques for
multi-attack detection in wireless sensor networks
Chapter 69 Intelligent medical systems for early diagnosis of psychiatric
disorders: A soft computing approach
Chapter 70 Role of monolithic 3D ICs for
future interconnects
Chapter 71 Balancing the unbalanced: An approach to
credit fraud detection
Chapter 72 Highly-efficient Carbazole-based Blue TADF
Organic LED: Application for early detection of Ovarian cancer
Chapter 73
Implementation of modified blow-fish algorithm using Verilog
Chapter 74 Human
trafficking on the dark web: Challenges in detection and combat
Chapter 75
Design and feasibility of a hybrid cellular-LEO satellite network for
seamless voice and SMS communication using a single SIM
Chapter 76 RoBA
multiplier: A rounding-based approximate multiplier for high-speed yet
energy-efficient digital signal processing
Chapter 77 Advancements in autism
classification: A review of machine learning on neuroimaging data
Chapter 78
Advanced short-term load forecasting in power systems using machine learning
technologies
Chapter 79 Review on advanced high-gain boost converter for
optimized renewable energy integration
Chapter 80 Design and analysis of
forced air-cooled battery package for electric vehicles
Chapter 81 Design and
review of prototype lifeguard technologies for death prevention system due to
drowning cases
Chapter 82 Improved healthcare security using MTCNN based
image authentication and encryption
Chapter 83 A review of nutritional impact
on male fertility: Leveraging machine learning for personalized dietary
interventions
Chapter 84 An advanced ensemble learning framework for breast
cancer detection
Chapter 85 Estimated higher order compressors for a
low-power, high-accuracy approximation multiplier
Chapter 86 A single
ring-oscillator-based test structure for timing characterization of dynamic
circuit
Chapter 87 Impact of annealing temperature on sensing performance of
ZnO thin film LPG sensor
Chapter 88 Design and analysis of 7T SRAM cells
designs based on dynamic threshold MOSFETs, transistor stacking and sleep
transistor configurations
Chapter 89 Comparative study of Spirulina
application techniques on early growth dynamics and secondary metabolite
profiles in Coriandrum Sativum
Chapter 90 Adaptive Kalman Filter with
optimized noise covariances against FDIA in AGC system
Chapter 91 Interactive
learning module dashboard and student management application for classroom
Chapter 92 Performance analysis of multiply-accumulate and distributed
arithmetic based FIR filters using Verilog
Chapter 93 Identification of
potent HIV-1 integrase inhibitors through in-silico approaches
Chapter 94
BLDC motor control for electric vehicle
Chapter 95 Black box adversarial
attacks on image classification and its corresponding defense
Chapter 96
Real-time object detection in LiDAR imaging system using YOLOv11 deep
learning model
Chapter 97 Behavioral machine learning framework for early
prediction of digital eye strain based on smartphone usage patterns
Chapter
98 A deep learning-enhanced novel interleaved boost converter topology using
bio-inspired optimization for renewable energy applications
Chapter 99
Analysing global terrorism using data analytics
Chapter 100 Intrusion
detection using XGBoost and voting classifiers with explainable AI techniques
Gaurav Aggarwal, Faculty, Electronics & Communication Engineering, Chandigarh University, Mohali, India, is an erudite academician and a qualified Electronics & Communication Engineer with high caliber and extensive experience of over 20 years in College Administration, Research, and delivering enthusiastic instruction for academic excellence. Sound exposure to Education planning, Curriculum Development. Sound knowledge of curriculum practiced by educational institutions, Exemplary communication, Interpersonal and situational evaluation skills.
Dr. Gaurav Aggarwal is a distinguished scholar, researcher and educator in the field of Very-Large-Scale-Integration (VLSI) design and semiconductor technology with over vast experience in academics. Dr. Aggarwal has made significant contributions to the advancement of integrated circuit design and microelectronics.
Rishabh Dev Shukla is a Professor and Head of the Electrical Engineering and Electronics & Communication Engineering Departments at Chandigarh University, Mohali, Punjab, India, with over 15 years of academic and research experience. A Ph.D. graduate from MNNIT Allahabad, his doctoral research focused on voltage and frequency control in autonomous DFIG-based wind energy systems, with several publications in reputed SCI-indexed journals. His expertise includes sustainable energy systems, such as solarwind hybrid integration, electric vehicle charging infrastructure, and AI/IoT-based smart energy management. He has led industry-sponsored projects, delivered expert lectures nationwide, and actively mentors student-led innovations and startups. Dr. Shukla has organized multiple international conferences, faculty development programs, and technical workshops, contributing to academic leadership and research dissemination in emerging technologies. Widely recognized for his work in power electronics, smart grids & EVs, and renewable energy systems, Dr. Shukla is committed to bridging academic research with real-world applications to support Indias clean energy transition and advance sustainable development goals.
Innocent Ewean Davidson is the Director of the French-South African Institute of Technology (FSATI) and the African Space Innovation Centre (ASIC) at the Department of Electrical, Electronic, and Computer Engineering, Faculty of Engineering and the Built Environment, Cape Peninsula University of Technology, South Africa. He is an accomplished academic leader, researcher, and engineer with expertise spanning electrical and electronic engineering, space technology innovation, and advanced engineering education. Prof. Davidson has led numerous national and international projects in collaboration with universities, industry partners, and space agencies. His career is marked by contributions to satellite systems engineering, space mission development, renewable energy systems, and innovation-driven capacity building in Africa. He has authored and co-authored multiple peer-reviewed publications, conference papers, and technical reports. Prof. Davidson is recognized for his leadership in engineering curriculum transformation, mentorship of postgraduate researchers, and promotion of cross-continental collaborations, driving advancements in Africas space and technology ecosystem.
Ramesh Bansal is a Professor in the Department of Electrical Engineering, College of Engineering, University of Sharjah, UAE. He is an active researcher with significant contributions to the fields of power systems, renewable energy, and smart grids. Prof. Bansal has published extensively in high-impact journals and conferences, and his work is widely cited in the academic community. He serves as a reviewer and editorial board member for leading international journals and is a senior member of IEEE. His research interests encompass renewable integration, power system stability, and advanced energy technologies.