1st Edition

Integrated Technologies in Electrical, Electronics and Bio-technology Engineering Volume 2

674 Pages
by CRC Press

674 Pages
by CRC Press

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,... Read more

Session 1: Semiconductor Devices and Electronic Circuit Design

Efficient Design of Two Stage Differential Amplifier for Low Power and High Gain

Saumya Srivastava, Abhishek Kumar, Shashwat Pratap Singh, Om Hari Patel, Ashish Kumar, and Sujit Kumar Chaudhary

A High-Precision Modified DDCCTA-Based Instrumentation Amplifier with Tunable Gain and Enhanced CMRR

Somenath Dutta, Khushi Kumari, Neha Kumari, Lajwanti Mahato, Amarjeet Singh, and Sushanta Mahanty

Consequences of Crosstalk Issues on Performance of Silicon Chips

Sandeep Kakde

2D and 3D Floorplan Representations and Techniques in VLSI Floorplan

Rohin Gupta and Peyush Gupta

Simulation and Analysis of Mosfet Switching and Conduction Losses Using MATLAB

Jainath Gope and Rajesh Rohilla

Simulation and Parametric Analysis of Mosfet Losses in High Frequency Applications

Jainath Gope and Rajesh Rohilla

Performance Enhancement of Vertical TFET Using Double Gate and Triple Metal: A Simulation-Based Approach

Shriti Suman, Abhishek Updhyay, and Mahesh K. Singh

 

Session 2: Machine Vision and Signal Processing

Integrated Deep Learning with CAR T-Cell Therapy: A Precision Medicine Approach to treat Colitis-Associated Cancer

Alka Diwaker, Akhilesh Tewari, Kanika Gaur, and Vinish Kumar

Bio-Based Strategies to Control Plant-Parasitic Nematodes: Impact on Crops and Environment

Anjali Kannaujiya, Samriti Sharma, Akansha Slathia, and Waquar Husain Siddiqui

Comprehensive Speech Emotion Intelligence Using Deep Learning

Nidhi Singh, Himanshu Gupta, Mradul Shankrat, Anurag Patel, Pratham Vashist, and Chemseddine Zebiri

Integrating LSTM for Long-Term Global Temperature Predictions

Jyoti, Ankit Yadav, Jahanvi Srivastava, Gaurav Aggarwal, and Hassan M. Al-Jawahry

Automated Pest and Disease Identification System

Jyoti, Gaurav Aggarwal, Naitik Anand, and Duygu Nazan Gencoglan

Comprehensive Scheduled Traffic and Incident Prediction Using Yolov8

Deepali Deshpande, Saanvi Kasturi, Nikita Kapse, Pushkar Kadam, and Aniket Joshi

Leveraging Long Former for Multi-Paragraph Question Answering Tasks

Nidhi Mishra, Farhan Khan, Pranjal Guptss, Aakanshi Gupta, Rashmi, Tushar Pandey, Shavez Pilai, and Manak Raj

Video Enhancement Using RIFE and ESRGAN for Live Streaming

Mahesh Pawaskar, Kaiser Momin, Soham Palnitkar, Shihab Karol, Yash Malvade, and Viki Patil

Design and Implementation of a Portable Medi-Insole System for Foot Skin Disease Detection in Real-Time

Kartikey Pandey, Venktesh Mishra, Tushar, Arpit Srivastava, and Saurabh Giri

An Approach for Detection of Plant Disease by Hybrid Classification

Muskaan Rana, Deepa Kumari, Kshamta Chauhan, and Vinay Kumar

AI Dashboard for Cleanliness Monitoring and Green Practices

Shrang Tyagi, Krishna Agarwal, Tushank Tyagi, Swabhiman Singh, and Vinish Kumar

Bridging the Technology Gap: Analyzing Tool Adoption in Academia vs. Industry

Darsh Dharmendra Doshi, Archana Nanade, Rushabh Bharat Chhajed, and Sughosh Sudhir Ail

Sign Language Detection Using Convolutional Neural Networks

Aswath Narayanan R V, Bharath P, Vishnu M, Manoj Kumar N, Y. Sukhi, A. Fayaz Ahamed, and Y. Jeyashree

Optimized Hyperspectral Image Compression Using Statistical and Deep Learning Methods

Ranjan K Senapati, Raghavamsi, Shashank, and Karthikeya

Next-Gen Multilingual Audiobook Generation for Indian Languages

Anunya Sharma, Deepti Chhabra, Shweta Sahu, Alina Elizabeth Joji, and Poonam Bansal

A Regression Based Analysis of Deep Learning and Machine Learning Techniques for Stock Market Prediction

Sonam Khattar, Rajnish Kohli, Sujit Kumar Choudhary, and Tushar Verma

Detection and Localization of Multiple Attacks in Wireless Sensor Networks Using Optimized MLPANN

Nidhi Singh, Abutalib Khan, Arijeet Dutta, Himanshu Modanwal, Bhartendu Raj, and Almaz Khabibullin

Sugarcane and Rice Diseases Detection Using Deep Learing and Machine Learning

Laxman Singh, Sandeep Kumar, Banti Chauhan, Kajal Singh Baghel, and Gaurav Aggarwal

Exploring Applications and Future Aspects of Deep Learning in Cancer Diagnosis Through Medical Imaging

Tej Singh, Priynka, Madhavi Ranjeet Patil, Harishchander Anandaram, Bakshish Singh, and Ruchi Agarwal

Automated Detection of Autism Spectrum Disorder Using Chatbot-Driven Interaction and Machine Learning Analysis

Sandeep Kumar Saini, Saweta Verma, and Sujit Kumar Choudhary

AI-Powered Demand Forecasting and Inventory Optimization in the Food Supply Chain

Shruti Jindal, Niharika Keshari, Rajendra Kumar Rajouria, Manoj Kumar Singh, Amit Kumar, and Ankur Maurya

Real-Time AI-Driven Cardiac Abnormality Detection System Using Hybrid Deep Learning and Image Processing Techniques

Akhilesh Latoria, Niharika Keshari, Ritu Agarwal, Veer Bhadra Pratap Singh, Priyanka, Ankur Maurya, and Ayodele Periola

AI-Driven Secure Communication in Cyber-Physical Systems for Healthcare Environments Using Advanced Privacy-Preserving Technologies

Niharika Keshari, Radhakrishnan Arikrishna Perumal, M.K. Prakash, Christo Stalin, Anshul Sharma, and Ankur Maurya

Learnify AI: A Learning Platform Powered by AI

Mahendra Pandey, Sunil Kumar, Gagan Tomar, Kunal Singh Kushwah, and Ranjeet Kushwah

Advances and Future Directions in Clubfoot Management: A Review of Clinical Methods, Smart Brace and AI Integration

Bharati Sagi, Ch Manvitha, Varun Raj, Sam Ebenezer, and D. Laxminarayana Chary

Advanced AI and Deep Learning Techniques for Sustainable Traffic Flow Forecasting in Urban Environments

Nitin Sharma, Kimmi Gupta, Vishal Upmanu, Sunita Kumari, Shashi Mauli Tripathi, and Jagendra Singh

Leveraging Transformer-Based Models for Behavior-Driven Customer Profiling and Purchase Forecasting

Sourav Gangopadhyay, Kimmi Gupta, Jayeeta Majumder, Susmi Biswas, Krishan Kumar Garg, and Jagendra Singh

An Intelligent Framework for Consumer Emotion Detection and Market Trend Prediction Using Multi-Modal Deep Learning Techniques

Jayeeta Majumder, Sarika keshri, Krishan Kumar Garg, Sourav Gangopadhyay, Susmi Biswas, and Jagendra Singh

Lung Lens: Revolutionizing Lung Cancer Detection Through Deep Learning

Anurag Pratap, Aditya Arya, Abhishek Chaudhary, Amit Chauhan, and Anju Mishra

Application of Extreme Learning Machine for Identifying Symmetrical and Unsymmetrical Faults in Power Transmission Lines

Harsha Lande, Sudhir Paraskar, Ganesh Bonde, and Vijay Karale

Automated Detection of Polycystic Ovary Syndrome Using Random Forest Classifier

Snehal Sameer Patil, and Vaishnavi Moorthy

A Novel Deep Learning Framework for EMBO-Based Multi-Modal Medical Image Fusion

Munawwar Syed and Gopi Krishna Rao Panyam Vuppu

VisionGuard: Eye Disease Detection Using Transfer Learning

Ashutosh Gupta, Ayush Dixit, Sheradha Jauhari, and Aditya Singh

Table Tennis Forehand Stroke Classification Using a Hybrid CNN-BiLSTM Model

Akshita Bansal and Karan Verma

Spinal Health Assessment with CNNs: A Deep Learning Approach to Abnormality Detection

Brito Sham A, Charan S, Calvin Paul Daniel S, and K. Meenakshi

A Comprehensive CTC Prediction System: Helping Students Assess Career Opportunities and Salary Expectations

Sulochana Devi, Nelson Kolas, Khizar Shaikh, and Samuel Pallikonda

Comparative Analysis of Deep Learning Models for Bitcoin Price Prediction

Sulochana Devi, Omprakash Yadav, Jaibir Singh, and Suman Rani

A Comprehensive Study of Stock Market Trends Using XGBoost Machine Learning Algorithm

Md Shakil Hossen, Arpana Kumari, Hridoy Barua, Peyush Gupta, and Reshma Khan

Machine Learning-Assisted SERS for Industrial Pollutant Rhodamine 6G Detection

Sameer Ahmed, Heena Sammi, Shilpi Harnal, and Irfan Akram

Transparent Intelligence: Advances in Explainable AI for Deep Neural Networks

Shaveta Jain, Kushagra Agrawal, Deepika, Naina Pal, and Simranjit Kaur

Hybrid CNN-ViT Model for Skin Cancer Classification Using NAS-Based Optimization

Ashwini Kumar Ray and Karan Verma

A Hybrid Deep and Machine Learning Framework for Early Alzheimer’s Detection

Kamal Nain Sharma, Shilpa, and Shalu Duggal

Legal Reference Identification System: Advancements, Challenges, and Global Relevance

Yameen Hakim, Sushil Bhardwaj, and Rais Mulla

Identifying Cloud Kitchen Operators Challenges and Service Barriers Using Risk Dependency- Early Warning Model (RD-EW Model)

Deepak Sharma and Himali Lakhera

 

Session 3: Communication Technologies and Systems

Fading in Next-Generation Wireless Networks: Challenges, Trends, and Adaptive Mitigation Techniques

Kuldip Kumar, Basit Mohi ud din Naikoo, Oakkar Min, Pan Thiri Tun, Keniya Roy, and Mohammed Al-Farouni

Farmergrow: Mobile App for Direct Market Access for Farmers

Sudhakar Ajmera, S.V.S Prasad, Vijay Kumar Gubbala, Sai Kumar Chippada, Mahesh Babu Amradi, and Karthik Domma

Ensemble Learning Approach for Precise Crop Prediction Using Bi-LSTM and CNN

Sunakshi Gaba, Krishan Kumar, Neha Dhaliwal, and Shobhashree Panda

A Case Study on Ensuring Network Security with the Use of a Comparative Forecast: An AI-Based System for Categorisation

Lalit Kumar Behera, Sureswar Dhala, Umashankar Ghugar, Satya Narayan Tripathy, Soumya Ranjan Mohapatra, and Rakesh Nayak

Design of a Compact Dual-Band Microstrip Patch Antenna for WLAN/MIMO Applications at 5.0 GHz and 8.0 GHz

Y. Chalapathi Rao, Sarikonda Brahmini Bhatt, Golconda Bhavani, and Ch Raghuvamsh

AI–Driven Medical Image Diagnosis: Revolutionizing Healthcare

Nishant Singhal, Kashish Taneja, Anshika, Ujjwal Tyagi, and Rajeev Kumar Maheshwari

Web-Based University Event Management System

Paridhi Agarwal, Sunil Kumar, Ekta Kaushik, Gagan Tayal, and Garvita

A Review on Land Registration Using Blockchain Technology

Sunil Kumar, Abhay Bhatia, Anil Kumar, Manish Kumar, and Mani Dublish

An In-Depth Study of Network Traffic Analysis: Techniques, Tools, and Security Implications

Akshara Chauhan, Deepa Kumari, Ishika Chauhan, Nishant Anupam, Saksham Chandel, and Peyush Gupta

Smart Control of Home Appliances via LoRa with Built-in Fire and Smoke Alerts

Rama Devi Sirisolla, Shanmukhi Peela, Hari Chandana Baratam, Bahulika Karanam, Greeshma Prasadula, and Malleswari Thummala

A Learning Approach to QoS Routing in a Multimedia Environment

Himani Goyal Sharma, Aditya Sharma, and Ajoy Sharma

A Case Study on Estimating the Efforts Required for Software Development with Machine Learning Methods

Manas Prasad Rout, Sabyasachi Patnaik, Santosh Kumar, Umashankar Ghugar, and Rakesh Nayak Amit Munjal and Abhinandan Aggarwal

Blockchain Security Measures to Prevent DDoS Attacks to Enhance Cloud Data Security

Shilpa Bhatia, Ramesh Chandra Sahoo, and Arvind Kumar

Performance Analysis and Comparison of 64,128 and 256 QAM-OFDM RoF Link

Harminder Kaur, Manjit Singh Bhamrah, and Baljeet Kaur

Adaptive MOS Enhancement VOIP Quality Monitoring Through Graph-Based Deep Learning Approaches

Venkata Bhanu Pratap, Bommineni, and Venkatraman Kota

Analysing Heart Stroke Detection Using Machine Learning Algorithms

Banita Mandal, Manish Mandal, and Ilya Mikhaylov

Enhanced Satellite Communication Systems: A Framework Based on the OSI Model for Wireless Ad Hoc Networks

Sukhvir Kaur, Ramandeep kaur, Renuka Rattan, Deepika, Sahil Jain, and Duygu Nazan Gencoglan

 

Session 4: Electromagnetic, RF, Microwave and Wearable Technology

Intelligent Acoustic Suppression System for Industrial Workspaces

Charulatha G, Chandhana Priya R, Asin Priya T, Y. Sukhi, Kavitha, and Y. Jeyashree

Integrating IOT Devices to Enhance Work Related Quality of Life by Reducing Occupational Hazards of University Faculties

Amrisha Minocha, Bhairab Chandra Patra, and Mridula Batra

IoT-Enabled Real Time Health Monitoring and Alert System for Elderly Care

Bhushan Bawankar, Talika Wadhai, Shweta Yadav, Eshaan Mohod, Ayush Sainwar, and Ishika Thakare

 

Session 5: Nano-Technologies and IC Fabrication

Nanorobots in Diagnosis and Treatment of Cancer

Saurabh Agrawal, Aman Gupta, Dhruv Shandilya, Sumana Koley, Deepanshu Kumar, and Mayank sharma

Ni-Doped CdSnanoparticles Morphological, Structural and Magnetic Characteristics

Kamaldeep Kaur, Shivani Jindal, Payal Patial, Anjana Sharma, Geetika M. Ahlawat, and Arunpreet Kaur

Study of Structural, Morphological, Optical and Magnetic Properties for Green Synthesized NiFe2O4 with Mangifera Indica Leaf Extract

Harmanpreet Kaur, Sandeep Kansal, and Anjana Sharma

Machine Learning-Assisted SERS for Industrial Pollutant Rhodamine 6G Detection

Sameer Ahmed, Heena Sammi, Shilpi Harnal, and Irfan Akram

RF-MEMS Shunt Capacitive Switch: Design and Performance Review for B5G/6G Technology

Sitakshi Rankta and Mahesh Angira

Design and Performance Evaluation of CMUT in Transmitter and Receiver Modes

Adrija Bhattacharya and Mahesh Angira

 

Session 6: Biotechnology

No More Western Blotting: “SMPDC”: Smart-Antibody-Free Microfluidic Platform for Real-Time, Multiplexed Protein Detection with AI-Driven Quantification

Saurabh Agrawal, Vaishali Walecha, Pratibha Gupta, and Gaurav Aggarwal

Health Monitoring System for Alzheimer Patients

Atharva Ashtankar, Avnish Diwan, Om Bante, and Mahendra Gaikwad

Novel Genetic and Molecular Strategies to Enhance Plant Defenses

Yashika Panwar, Nishtha Ahuja, Samriti Sharma, and Atash Z. Abdullaev

Enhancing Alzheimer’s Disease Diagnosis Using Modified LeNet Architecture with Batch Normalization and Dropout Layers

Parimi Ramaji and Dammu Venkata Ravi Kumar

Advanced Prediction of Medication Side Effects with GNN and CNN2DModels

Seelam Nagendra and CH V Raghavendran

Assessment of Indigenous Bacterial Strains for Sudan Orange Dye Decolorization from Industrial Effluents

Ufondu Maryann Afoma, Shilpy Singh, Dharmsheel Shrivastav, Lomas Kumar Tomar, Manoj Kumar Mishra, Abhishek Awasthi, Ved Vrat Verma, and Varun Kumar Sharma

Bench Scale Synthesis of Propionahydroxamic Acid Using Acyltransferase of Immobilized Rhodococcus pyridinivorans cells

Neena Devi, Anil Dhanola, Prashant Saxena, and Duni Chand

Exopolymeric Substances from Novel Biofilm-Forming Bacteria Priestia qingshengii BC3 Growing on Monumental Rock Surface: Structural Elucidation and Potential Application

Sangram Keshari Samal, Diptikanta Acharya, and Debadas Sahoo

Revolutionizing Digital Health: A Systematic Review on Blockchain Applications, Benefits and Limitations

Varun Vaid, Monika Mehra, and Ahmad Haziq Aiman Rosol

Biodegradable Detergent Formulation Using Papain Enzyme Extracted from Raw Papaya Peels

Manasi N S, Jyothika Reddy Mandem, Madhumitha Dhanasekaran, Sumathra Manokaran, Vishal Hanumegowda, and AH Manjunatha Reddy

 

Session 7: Automation and Robotics

OrbiTrack: Ball Tracking Robotic Car

Aditya Pandey, Archit Sharma, Badal Singh, and Ajay Suri

To Design Smart Waste Management System Using IOT

Rahul Purakayastha, Aditiya Gurung, Avinash, Biswajeet Dash, Yash Gehlot, Kritika Raj Sharma, and Ravi Kumar Arya

Hybrid BCI-AI Control Framework for Robotic Arms: A Conceptual Model

Fitahiana Manoa Ratsimbazafy, Balaka Biswas, Harjot Singh Gill, Gaurav Aggarwal, and Elena Muravyova

Machine Learning Approaches for EEG-based Robotic Control: Balancing Accuracy and Real-Time Feasibility

Fitahiana Manoa Ratsimbazafy, Balaka Biswas, Harjot Singh Gill, Ferdinand Grimm, and Bimal Raj Dutta

Automated Facial Recognition-Based Attendance Tracking and Management System Utilizing OpenCV

Gaurav Aggarwal, RajKhusbhoo, Good Luck Nuhu, and Almira Fakhrullina

Design and Implementation of an Microcontroller Unit-Based Smart Plant Monitoring and Automation

Skandha S Bhat, K Poornima Kamath, and Pooja A P

JARVIS a Smart Voice Controlled Desktop Assistant Using Natural Language Processing

Amar Pal Yadav, Kajal Verma, Khushi Tyagi, Inam UI Haq, and Sulaiman Wadi Harun

Development of a Voice-Assisted Welding Helmet Using Internet of Things

Ayush Thakur, Sugam Mitra, Yash Raj, Sujit Roy, Narottam Chaubey, and Sunit Kumar

 

Session 8: Electrical Machines and Adjustable Speed Drives

Global Intelligent Road Safety and Emergency Alert System

Dhidha Keerthana, Nagdhar Rajesh, A. Mounika Yesaswini, Ambatipudi Ravi Kousik, Racha Samiksha, and C. Padmini

Optimized Design of Brushless-DC Motor for Light E-Vehicles Using FEA Tools

Swapnil Rajendra Sarwade, Rajaram T. Ugale, and Renu Saxena

Grid Connected Water Distribution System Based on Permanent-Magnet Brushless DC Motor (BLDCM) for Irrigation in Remote Areas

Kuldeep Singh Rathore and Shantanu Sharma

 

Session 9: Hybrid and Electric Vehicles

Development of an Efficient 50 kW Fast Charging System for Electric Vehicles

R. Ramanjan Prasad, K. Bhargavi, K. Naveen Kumar, M. Purushotham, and P. Nanditha

Design and Application of ISO 26262 Compliant Engine Control Unit for Safety and Performance at Software Level 1 and Level 2

Deepak, Manjeet Singh, Amritjot Kaur, Surbhi Gupta, Sarbjeet Kaur, and Ilya Mikhaylov

Advancements in Battery Technology for Electric Vehicles

Gaurav Singh, Amritjot Kaur, Manjeet Singh, Rishabh Dev Shukla, and Waquar Husain Siddiqui

The Rise of Electric Mobility in India: Analyzing the Transition and Future Pathways

Vidushi Sangwan, Satyam Prakash Shrivastava, and Vedanshi Sangwan

Real-Time Helmet Violation Detection for Traffic Management Using Co-DETR and Adaptive Minority Optimization

Amandeep Kaur, Rupinder Kaur, Prabhjot Singh, and Myasar Mundher Adnan

Simulation-Based Design of an Efficient On-Board Charger for Two-Wheeler EV Applications in MATLAB

Ashishraj Uttam Patil and Rajaram T. Ugale

Implementation of TOSSI Algorithm to Control BADC in OFF Board EV Charger

Sudhanshu Mittal, Arunpreet Kaur, Md. Shahrukh Alam, and Manoj Badoni

 

Session 10: Renewable Energy Sources, Smart grids Technologies and Applications

DVR-Based Voltage Sag/Swell Mitigation Using PI and Fuzzy Logic Controllers

Sunny Vig, Harvinder Singh, and Laith H. Alzubaidi

A Conceptual Review of Government Policies on Electric Vehicles in India

Harpreet Kaur and Reena Malik

Short Term Load Forecasting in Spain Using Regression Learner App in MATLAB

Ahd Abdullah Al-Saidi, Ranjit Kumar Bindal, Manjeet Singh, and Andrie Bondarev

Harnessing Solar Energy Using a Water Based Tracking System

Kalimuthu Keerthika, Mavuluri Ahitha, Burra Sindhu, Lingam Madhurya, A. Mounika Yesaswini, and B. Bala Krishna

Fault Detection in Electrical Grid Using Binary Classification Models

Garima Chandel, Samir Kuma, Harshvardhan Mishra, Anutosh Dutta, Komal Verma, and Sachin Yadav

Integrating Cybersecurity in the Digital Transformation of Energy Systems: Securing a Sustainable Future for SDG 9

Rachit Gautam, Lakshay Gupta, and Lakshay Gupta

Feasibility Analysis of Grid Connected Solar PV System for School Building Using Helioscope

Prashant Kumar, P Venkata Rama Sai Abhishek, Ranjit Kumar Bindal, and Ir. Sumiaty Ambran

Mitigation of Effect of Partial Shading Through Static Reconfiguration of PV Array

Manish Kumar Singh

Design and Analysis of a Solar Substation Grounding Grid with Consideration of Its Impact on an Adjacent Substation

Lina R. Patil, Atul R. Phadke, Gauri S. Bendale, and Tushar Borale

Residential Demand Shaping Using Genetic Algorithm-Based AI Load Scheduling

Homeshwari Hatwar and S.P. Nangrani

Real-Time PSO-Based Energy Management System for Smart Hospital Microgrids Using Renewable Energy Sources

Shweta Chaudhary, Sachin Thakur, Jaspal Dhindsa, and Sahil Bhardwaj

Protection Strategies in Grid-Connected Microgrids: A Comprehensive Study of Earthing System Configurations

Amruta Jadhav and Atul R. Phadke

Chaos Inspired Grey Wolf Optimizer for Short Term Hydrothermal Scheduling

Arunpreet Kaur, Sudhanshu Mittal, Md. Shahrukh Alam, Nitin Narang, and Kamaldeep Kaur

Fault Classification Scheme for PV Integrated Transmission System Using DWT-DT

Akansha Sinha and Ebha Koley

Perovskite Solar Cells: Advancements, Challenges, and Opportunities

Ashish Sharma, Rinku Sharma, and Mekuria Guye Halek

Simulation and FEM-Based Analysis of SF6 – N2 Gas Mixtures as An Eco-Friendly High-Voltage Insulation Medium

R. Bharanidharan, V.J. Vijayalakshmi, and R.V. Maheswari

Dynamic Simulation of Integrated Energy System within Microgrid Using HOMER

Deepa Kumari, Ashish Sharma, Gagandeep Kaur, and Issa Elfergani

 

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

Anaga Suswaram, Abhishek Anand, and Srikant Panigrahi

Electric Propulsion-Hall Versus Ion Thruster: A Systematic Review

Sanjeev Kumar Dhama, Arafa Atique Sayed, Ruchi Sharma, T.K. Jindal, and Almira Fakhrullina

 

Session 12: Control System and Instrumentation

Smart Helmets Improving Safety through Technology and Innovation

Charulatha G, Chandhana Priya R, Asin Priya T, Sukhi Y., Kavitha P, and Jeyashree Y.

Real-Time Train Accident Prevention Using Arduino and Ultrasonic Sensors

R. Sunayana, Y. Sathvika Reddy, V. Anand Sai, S. Siddartha, A. Mounika Yesaswini, and B. Bala Krishna

Fault-Tolerant Control Using Frozen Leg Method for Three-Phase Bidirectional Current-Fed Dual Active Bridge DCDC Converter

Shubham M. Dongare and Archana G. Thosar

Biography

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.