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.
Table of Contents:
Session 1: Semiconductor Devices and Electronic Circuit Design Efficient Design of Two Stage Differential Amplifier for Low Power and High Gain A High-Precision Modified DDCCTA-Based Instrumentation Amplifier with Tunable Gain and Enhanced CMRR Consequences of Crosstalk Issues on Performance of Silicon Chips 2D and 3D Floorplan Representations and Techniques in VLSI Floorplan Simulation and Analysis of Mosfet Switching and Conduction Losses Using MATLAB Simulation and Parametric Analysis of Mosfet Losses in High Frequency Applications Performance Enhancement of Vertical TFET Using Double Gate and Triple Metal: A Simulation-Based Approach Session 2: Machine Vision and Signal Processing Integrated Deep Learning with CAR T-Cell Therapy: A Precision Medicine Approach to treat Colitis-Associated Cancer Bio-Based Strategies to Control Plant-Parasitic Nematodes: Impact on Crops and Environment Comprehensive Speech Emotion Intelligence Using Deep Learning Integrating LSTM for Long-Term Global Temperature Predictions Automated Pest and Disease Identification System Comprehensive Scheduled Traffic and Incident Prediction Using Yolov8 Leveraging Long Former for Multi-Paragraph Question Answering Tasks Video Enhancement Using RIFE and ESRGAN for Live Streaming Design and Implementation of a Portable Medi-Insole System for Foot Skin Disease Detection in Real-Time An Approach for Detection of Plant Disease by Hybrid Classification AI Dashboard for Cleanliness Monitoring and Green Practices Bridging the Technology Gap: Analyzing Tool Adoption in Academia vs. Industry Sign Language Detection Using Convolutional Neural Networks Optimized Hyperspectral Image Compression Using Statistical and Deep Learning Methods Next-Gen Multilingual Audiobook Generation for Indian Languages A Regression Based Analysis of Deep Learning and Machine Learning Techniques for Stock Market Prediction Detection and Localization of Multiple Attacks in Wireless Sensor Networks Using Optimized MLPANN Sugarcane and Rice Diseases Detection Using Deep Learing and Machine Learning Exploring Applications and Future Aspects of Deep Learning in Cancer Diagnosis Through Medical Imaging Automated Detection of Autism Spectrum Disorder Using Chatbot-Driven Interaction and Machine Learning Analysis AI-Powered Demand Forecasting and Inventory Optimization in the Food Supply Chain Real-Time AI-Driven Cardiac Abnormality Detection System Using Hybrid Deep Learning and Image Processing Techniques AI-Driven Secure Communication in Cyber-Physical Systems for Healthcare Environments Using Advanced Privacy-Preserving Technologies Learnify AI: A Learning Platform Powered by AI Advances and Future Directions in Clubfoot Management: A Review of Clinical Methods, Smart Brace and AI Integration Advanced AI and Deep Learning Techniques for Sustainable Traffic Flow Forecasting in Urban Environments Leveraging Transformer-Based Models for Behavior-Driven Customer Profiling and Purchase Forecasting An Intelligent Framework for Consumer Emotion Detection and Market Trend Prediction Using Multi-Modal Deep Learning Techniques Lung Lens: Revolutionizing Lung Cancer Detection Through Deep Learning Application of Extreme Learning Machine for Identifying Symmetrical and Unsymmetrical Faults in Power Transmission Lines Automated Detection of Polycystic Ovary Syndrome Using Random Forest Classifier A Novel Deep Learning Framework for EMBO-Based Multi-Modal Medical Image Fusion VisionGuard: Eye Disease Detection Using Transfer Learning Table Tennis Forehand Stroke Classification Using a Hybrid CNN-BiLSTM Model Spinal Health Assessment with CNNs: A Deep Learning Approach to Abnormality Detection A Comprehensive CTC Prediction System: Helping Students Assess Career Opportunities and Salary Expectations Comparative Analysis of Deep Learning Models for Bitcoin Price Prediction A Comprehensive Study of Stock Market Trends Using XGBoost Machine Learning Algorithm Machine Learning-Assisted SERS for Industrial Pollutant Rhodamine 6G Detection Transparent Intelligence: Advances in Explainable AI for Deep Neural Networks Hybrid CNN-ViT Model for Skin Cancer Classification Using NAS-Based Optimization A Hybrid Deep and Machine Learning Framework for Early Alzheimer’s Detection Legal Reference Identification System: Advancements, Challenges, and Global Relevance Identifying Cloud Kitchen Operators Challenges and Service Barriers Using Risk Dependency- Early Warning Model (RD-EW Model) Session 3: Communication Technologies and Systems Fading in Next-Generation Wireless Networks: Challenges, Trends, and Adaptive Mitigation Techniques Farmergrow: Mobile App for Direct Market Access for Farmers Ensemble Learning Approach for Precise Crop Prediction Using Bi-LSTM and CNN A Case Study on Ensuring Network Security with the Use of a Comparative Forecast: An AI-Based System for Categorisation Design of a Compact Dual-Band Microstrip Patch Antenna for WLAN/MIMO Applications at 5.0 GHz and 8.0 GHz AI–Driven Medical Image Diagnosis: Revolutionizing Healthcare Web-Based University Event Management System A Review on Land Registration Using Blockchain Technology An In-Depth Study of Network Traffic Analysis: Techniques, Tools, and Security Implications Smart Control of Home Appliances via LoRa with Built-in Fire and Smoke Alerts A Learning Approach to QoS Routing in a Multimedia Environment A Case Study on Estimating the Efforts Required for Software Development with Machine Learning Methods Blockchain Security Measures to Prevent DDoS Attacks to Enhance Cloud Data Security Performance Analysis and Comparison of 64,128 and 256 QAM-OFDM RoF Link Adaptive MOS Enhancement VOIP Quality Monitoring Through Graph-Based Deep Learning Approaches Analysing Heart Stroke Detection Using Machine Learning Algorithms Enhanced Satellite Communication Systems: A Framework Based on the OSI Model for Wireless Ad Hoc Networks Session 4: Electromagnetic, RF, Microwave and Wearable Technology Intelligent Acoustic Suppression System for Industrial Workspaces Integrating IOT Devices to Enhance Work Related Quality of Life by Reducing Occupational Hazards of University Faculties IoT-Enabled Real Time Health Monitoring and Alert System for Elderly Care Session 5: Nano-Technologies and IC Fabrication Nanorobots in Diagnosis and Treatment of Cancer Ni-Doped CdSnanoparticles Morphological, Structural and Magnetic Characteristics Study of Structural, Morphological, Optical and Magnetic Properties for Green Synthesized NiFe2O4 with Mangifera Indica Leaf Extract Machine Learning-Assisted SERS for Industrial Pollutant Rhodamine 6G Detection RF-MEMS Shunt Capacitive Switch: Design and Performance Review for B5G/6G Technology Design and Performance Evaluation of CMUT in Transmitter and Receiver Modes Session 6: Biotechnology No More Western Blotting: “SMPDC”: Smart-Antibody-Free Microfluidic Platform for Real-Time, Multiplexed Protein Detection with AI-Driven Quantification Health Monitoring System for Alzheimer Patients Novel Genetic and Molecular Strategies to Enhance Plant Defenses Enhancing Alzheimer’s Disease Diagnosis Using Modified LeNet Architecture with Batch Normalization and Dropout Layers Advanced Prediction of Medication Side Effects with GNN and CNN2DModels Assessment of Indigenous Bacterial Strains for Sudan Orange Dye Decolorization from Industrial Effluents Bench Scale Synthesis of Propionahydroxamic Acid Using Acyltransferase of Immobilized Rhodococcus pyridinivorans cells Exopolymeric Substances from Novel Biofilm-Forming Bacteria Priestia qingshengii BC3 Growing on Monumental Rock Surface: Structural Elucidation and Potential Application Revolutionizing Digital Health: A Systematic Review on Blockchain Applications, Benefits and Limitations Biodegradable Detergent Formulation Using Papain Enzyme Extracted from Raw Papaya Peels Session 7: Automation and Robotics OrbiTrack: Ball Tracking Robotic Car To Design Smart Waste Management System Using IOT Hybrid BCI-AI Control Framework for Robotic Arms: A Conceptual Model Machine Learning Approaches for EEG-based Robotic Control: Balancing Accuracy and Real-Time Feasibility Automated Facial Recognition-Based Attendance Tracking and Management System Utilizing OpenCV Design and Implementation of an Microcontroller Unit-Based Smart Plant Monitoring and Automation JARVIS a Smart Voice Controlled Desktop Assistant Using Natural Language Processing Development of a Voice-Assisted Welding Helmet Using Internet of Things Session 8: Electrical Machines and Adjustable Speed Drives Global Intelligent Road Safety and Emergency Alert System Optimized Design of Brushless-DC Motor for Light E-Vehicles Using FEA Tools Grid Connected Water Distribution System Based on Permanent-Magnet Brushless DC Motor (BLDCM) for Irrigation in Remote Areas Session 9: Hybrid and Electric Vehicles Development of an Efficient 50 kW Fast Charging System for Electric Vehicles Design and Application of ISO 26262 Compliant Engine Control Unit for Safety and Performance at Software Level 1 and Level 2 Advancements in Battery Technology for Electric Vehicles The Rise of Electric Mobility in India: Analyzing the Transition and Future Pathways Real-Time Helmet Violation Detection for Traffic Management Using Co-DETR and Adaptive Minority Optimization Simulation-Based Design of an Efficient On-Board Charger for Two-Wheeler EV Applications in MATLAB Implementation of TOSSI Algorithm to Control BADC in OFF Board EV Charger Session 10: Renewable Energy Sources, Smart grids Technologies and Applications DVR-Based Voltage Sag/Swell Mitigation Using PI and Fuzzy Logic Controllers A Conceptual Review of Government Policies on Electric Vehicles in India Short Term Load Forecasting in Spain Using Regression Learner App in MATLAB Harnessing Solar Energy Using a Water Based Tracking System Fault Detection in Electrical Grid Using Binary Classification Models Integrating Cybersecurity in the Digital Transformation of Energy Systems: Securing a Sustainable Future for SDG 9 Feasibility Analysis of Grid Connected Solar PV System for School Building Using Helioscope Mitigation of Effect of Partial Shading Through Static Reconfiguration of PV Array Design and Analysis of a Solar Substation Grounding Grid with Consideration of Its Impact on an Adjacent Substation Residential Demand Shaping Using Genetic Algorithm-Based AI Load Scheduling Real-Time PSO-Based Energy Management System for Smart Hospital Microgrids Using Renewable Energy Sources Protection Strategies in Grid-Connected Microgrids: A Comprehensive Study of Earthing System Configurations Chaos Inspired Grey Wolf Optimizer for Short Term Hydrothermal Scheduling Fault Classification Scheme for PV Integrated Transmission System Using DWT-DT Perovskite Solar Cells: Advancements, Challenges, and Opportunities Simulation and FEM-Based Analysis of SF6 – N2 Gas Mixtures as An Eco-Friendly High-Voltage Insulation Medium Dynamic Simulation of Integrated Energy System within Microgrid Using HOMER Session 11: Avionics, Flight Control, UAVs, Remote Sensing Technologies and Applications Simulation-Based Design of a Multiband Microstrip Patch Antenna for 4G/5G Bands at 2.3, 3.6 and 6 GHz Electric Propulsion-Hall Versus Ion Thruster: A Systematic Review Session 12: Control System and Instrumentation Smart Helmets Improving Safety through Technology and Innovation Real-Time Train Accident Prevention Using Arduino and Ultrasonic Sensors Fault-Tolerant Control Using Frozen Leg Method for Three-Phase Bidirectional Current-Fed Dual Active Bridge DCDC Converter
About the Author :
Gaurav Aggarwal is an Associate Professor at the Electronics & Communication Engineering Department, Chandigarh University, Mohali, Punjab, India. He is an erudite academician and a qualified Electronics & Communication Engineer with high calibre 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. 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. He has made significant contributions to the advancement of integrated circuit design and microelectronics.
Rishabh Dev Shukla is 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 solar–wind 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. 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, he is committed to bridging academic research with real-world applications to support India’s clean energy transition and advance sustainable development goals.
Innocent Ewean Davidson is the Director of the French-South African Institute of Technology (F’SATI) 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. He 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. He is recognized for his leadership in engineering curriculum transformation, mentorship of postgraduate researchers, and promotion of cross-continental collaborations, driving advancements in Africa’s 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. He 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.
