Smart Systems and Beyond

Vinay Bhatia- Professor & Head, Department of Electronics and Communication Engineering at Chandigarh Engineering College (NBA Accredited), CGC Landran (NAAC A+), Punjab, INDIA. B.Tech, M.Tech, Ph.D in Electronics and Communication Engineering. He has authored about 150+ research papers in various national/international conferences/journals. He is a recipient of various awards such as INDO-SL International award in the category of Best Head of Department, Academic Leader I2OR International Award 2020-21 etc. Currently, he is working on routing and security issues pertaining to wireless networks. He is instrumental in the development of two Centers of Excellence in the ECE department at CGC, Landran, in the fields of Drone technology and wireless communication antennas. He has received a grant of Rs 15 lac from AICTE under MODROB scheme, IDEA Lab AICTE (1.1 Crores), and a travel grant from SERB, DST. He has been editor of various journals of international repute. His main research interests include mobile and ad hoc wireless networks, wireless mesh networks and wireless security. He has authored around 90 research papers in various national and international journals and conferences. He is the recipient of several prestigious recognitions, including the INDO-SL International Award in the category of Best Head of Department and the Academic Leader I2OR International Award 2020–21. He is a Senior Member of IEEE and serves as the RAS (Robotics and Automation Society) Faculty Advisor.Sukhdeep Kaur, Professor, Department of Electronics and Communication Engineering at Chandigarh Engineering College, Landran, Mohali, Punjab has received her B.Tech degree in Electronics and Communication Engineering from Amravati University(M.S), M.Tech degree in Electronics and communication from G.N.E Ludhiana; and Ph.D. degree in Antenna Designing from Thapar University Patiala; in 2001, 2008 and 2016 respectively. She has more than 23 years of work experience at various environments includes Industries, educational and research centers. She has completed three IEDC (DST) funded project and more than 20 patent (4 Granted) in her credit. She has published more than 50 technical research papers in SCI/ESCI/Scopus and peer reviewed International and national Journals, and few in Conferences and Seminars. She has established Antenna and Radiating System Lab in Chandigarh Engineering College, Landran, Mohali and also received a grant of Rs.15 Lakh under MODROB (AICTE) in 2019-20. She has also received a grant of Rs. 93000 from ISTE_AICTE for organizing Induction/Refresher program and Rs 3 Lacs under Grant of Conference (GOC) from AICTE She has also mentored international level project “CANSAT Competition-2016”. The event was organized by American Astronautical Society, American Institute of Aeronautics, NASA/Goddard Space Flight Centre, NASA/Jet Propulsion Laboratory & Naval Research Laboratory, held between10th-12thJune2016 at Burkett, Texas, USA. Her current research interests include Antenna Designing and Wireless Communication and their applications in bio medical applications and communication Systems.Ashima Kalra is a distinguished academician and researcher currently serving as Associate Professor in the Electronics and Communication Engineering Department at Chandigarh Engineering College (CGC Landran), with more than 22 years of teaching experience at undergraduate and postgraduate levels. She earned her Ph.D. in Electronics and Communication Engineering from Maharishi University, Noida, in 2023. She completed her M.Tech with distinction from Punjab Technical University, Jalandhar, and is a Gold Medalist in B.Tech in Electronics from Kurukshetra University, Kurukshetra. Dr. Kalra has published more than 50 research papers in reputed journals, including 6 SCI and over 24 Scopus-indexed publications. She has also contributed 10+ book chapters and authored six textbooks in areas such as microprocessors, ethical hacking, and machine learning. Her research interests include artificial intelligence, neural networks, fuzzy systems, and machine learning. She has filed more than 20 patents in innovative domains including AI-powered robots and chronic kidney disease detection. She received an AICTE grant of ₹3.5 lakhs as Coordinator for the ATAL Faculty Development Program. She is a Senior Member of IEEE, Branch Counsellor of the IEEE Student Branch at CEC, and WIE (Women in Engineering) Faculty Advisor. She has actively contributed as a session chair and reviewer for various international conferences and has organized numerous faculty development programs. She is also recognized for mentoring M.Tech theses in advanced domains such as image processing and cryptography. Her achievements include multiple Academic Excellence Awards and the Women Leadership Award, recognizing her dedication to teaching, research, and academic leadership.Bhawna Tandon received a B.Tech degree from Kurukshetra University, Kurukshetra in 2001, M.E degree from Panjab University in 2009, and a Ph.D. degree from Punjab Engineering College (PEC) (Deemed to be University), Chandigarh in 2018. With a total teaching experience of 24 years and a strong academic and research background, she has published more than 40 research papers and Book chapters in reputed national and international journals. She has two patents granted to her credit, reflecting her dedication to research, innovation, and advancing knowledge in the field of engineering and education. She is currently working as Professor and serving as the IQAC Coordinator at Chandigarh Engineering College - CGC Landran, Mohali where she actively contributes to institutional quality enhancement and academic excellence. Dr. Tandon has also been a recipient of prestigious government research grants, including the Rs 3.5 Lacs under ATAL Faculty Development Program (FDP) scheme and Rs 3 Lacs under Grant of Conference (GOC) from AICTE, reflecting her dedication to advancing knowledge and innovation in the field of engineering and education. She has organized 3 International Conferences as Organizing Secretary and various FDP’s and Bootcamp.

• Session 1: Mathematical and Computational Algorithmic Applications for Smart Systems Engineering 1. Experimental And Statistical Evaluation of Fine-Grained Soil Stabilisation Using Waste Marble Powder As A Sustainable Binder 2. A Novel Framework for Convergence Ordering and Stability Analysis of Coefficient-Sensitive Iterative Algorithms 3. Deep Transfer Learning Models for Cancer Classification: A Comparative Study 4. Smart Toll Management System Using Arduino and IoT 5. AI-Powered Smart Glasses for Visually Impaired with Indoor & Outdoor Navigation and Object Manipulation Guidance 6. Short-Term Load Forecasting in Hybrid Energy System for Supporting Demand Response Program 7. Smart Indoor Navigation System for the Visually Impaired Using SLAM and LiDAR Technologies 8. Design and Implementation of a Linear Array using Triangular Multilayer Planar Patch Antenna for IFF 9. Transfer Learning And Ensemble Models for Improved DR Detection Accuracy 10. An Overview of Robotics: From Classification to Advanced Control Approaches 11. Optimization in Energy Harvesting Wireless Network using Multiobjective Algorithms 12. Strategic Resource Allocation for Enhanced Market Performance 13. Intelligent AI Communication Monitoring and Voice Recording Solution with Automated Processing and Message Delivery for Improved Transparency and Accessibility Session 2: Embedded Systems and VLSI Technologies 14. A Robust Adaptive Control System for Fire Fighting Robots 15. Deep Learning Approaches for Network Intrusion Detection Systems: Architectures, Challenges, and Future Directions 16. A Hybrid Approach to Handwritten Text Recognition Using MobileNet, LSTM, and Transformers 17. Optimization of Integrated MB-OFDM – Fibre Network Performance and Applications to WPAN 18. Managerial Analysis and Effects of Mental Disorder Health Problem – Dementia 19. Transformer-Based Machine Learning for Antenna Parametric Optimization 20. Data-Driven Forecasting of Blood Glucose Levels via ExtraTrees Ensemble Learning 21. Non-Invasive Brain Cancer Detection with Compact UWB Microstrip Antenna having Stair Patch Geometry 22. Ensemble Machine Learning Models for High-Efficiency Antenna Design and Optimization in Next-Generation Wireless Systems 23. Cross Language Plagiarism Detection in Regional Languages: A Comparative Study of CLPD Models and Approaches 24. A Performance Evaluation of Machine Learning Models for Maternal Health and High-Risk Pregnancy Dataset Session 3: Robotics, Control, and Automation in Electronics 25. Design and Implementation of a Simulink Model of Virtual Mouse Using Hand Gestures Control with High Accuracy 26. Modeling Rational Information Dissemination via Blockchain in Neuro-Sensitive Social Network 27. SWeAT: Bridging Reproducibility, Explainability, and Scalability in Software-Based Remote Attestation 28. Localization of Mobile Nodes in Wireless Sensor Networks using RGWO Algorithm 29. Design of Photonic Biosensors for the Detection of Spoiled Fruits and Vegetables 30. Fuzzy Logic-Based Energy Management for Multi-Port DC-DC Converter in Electric Vehicles: Performance Evaluation and Power Flow Analysis 31. Adaptive FP-Algorithms for CFD Models: Convergence, Stability, and Superlinear Efficiency 32. Evaluating the Performance of Multiuser Space-Time Signal Processing Using Hybrid Receiver Selection in Power-Limited Cognitive Radios 33. IRS Assisted Cognitive Radio Networks: Methodologies and Applications 34. ML-Driven Design Optimization of a Circular Patch Antenna for Predictive Non-Invasive Blood Glucose Monitoring 35. Harnessing Machine Learning Classifiers as Fitness Functions in Metaheuristic-Based Feature Selection for Mammographic Breast Cancer Classification Session 4: Information Technology and Intelligent Systems 36. Toward a Theory of AI-Enhanced Accuracy in Climate Change Journalism 37. Efficient Ambient Sound Energy Harvesting Using Real-Time Sound Analysis 38. DL-CD: A Deep Learning Generative Models for Accurate Change Detection in Remote Sensing Data 39. Utilizing Decentralized Blockchain Platforms and Advanced Cryptographic to Mitigate Data Breaches in Healthcare Systems 40. A Comprehensive Review of Urban Growth Detection through the Fusion of Remote Sensing and Machine Learning 41. AI-Assisted Tumor Detection in MRI and CT Scans Using Image Segmentation Techniques 42. A Hybrid Framework for Motor Imagery EEG Decoding 43. Real-Time Disease Screening in Public Areas Using Autonomous Bots 44. From Cloud to Curb: An Edge AI Framework for Energy-Efficient and Responsive Urban Mobility 45. Deep Learning Based Diabetic Retinopathy Detection Using Fundus Images 46. Design of Efficient Precision Analog Comparator for Amperometric Glucose Sensing Session 5: Data Science and Analytics 47. Efficient and Lightweight Framework for Confidential Medical Image Diagnosis Using Edge AI 48. A Novel Low Power Analog Comparator Design for Biomedical Instrumentation 49. AI-Based Insider Threat Detection System in Colleges and Laboratories 50. StrRem-Net: A Blended Deep Learning Model with LSTM for Accurate Rain Streak Removal in Digital Images 51. Ethical Considerations in the Implementation of Artificial Intelligence in Recruitment Processes 52. Development of a Selective Refractive Index-Based SPR Sensor for Acetone Detection in Industrial Wastewater 53. RFID-Based Smart Trolley System for Automated Invoicing and Retail Efficiency 54. Polymer Optical Fiber-Powered Passive Optical LAN for Business Applications 55. REES: A Resource-Efficient and Enhanced-Security Mutual Authentication Scheme for Wireless Sensor Networks 56. A Detailed Investigations on IoT Applications and Challenges 57. Cybernexotics: A Holistic Approach to Fusing APIs and Computational Protocols for AI-Driven Threat Intelligence 58. A Comprehensive Review of Face Detection Algorithms: An In-Depth Analysis of Multitask Cascaded Convolutional Networks (MTCNN)