Smart Computing and Communication for Sustainable Convergence

Shalli Rani is currently Director, Research & Senior Member of IEEE. She completed her post-doc from Manchester Metropolitan University, UK in 2023. She also serves as a professor at the Institute of Engineering and Technology, Chitkara University, Punjab, India. She has 18+ years of teaching experience. She holds an MCA degree from Maharishi Dyanand University, Rohtak, an M.Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur, and a Ph.D. degree in Computer Applications from Punjab Technical University, Jalandhar. Her research focusses on Wireless Sensor Networks, Underwater Sensor networks, Machine Learning and Internet of Things. She has published and presented more than 100 papers in international journals and conferences (SCI+Scopus) and edited/authored five books with international publishers. She presently serves as Associate Editor with IEEE Future Directions Letters and Guest Editor with IEEE Transaction on Industrial Informatics and Hindawi WCMC. She received the prestigious Young Scientist Award in 2014 from the Punjab Science Congress, along with the Lifetime Achievement Award and the Supervisor of the Year Award from Global Innovation and Excellence, 2021.Ayush Dogra is presently an Allied Member of the European Society of Oncological Imaging and serves as Assistant Director – Research, CURIN, Chitkara University, Punjab, India. He holds a bachelor’s degree in Engineering and Technology from Guru Nanak Dev University, Amritsar, a master’s degree in Electronics & Communication Engineering from Punjabi University, Patiala, and a master’s degree in Business Management (MBA) from IGNOU, Delhi. He was awarded a doctorate degree by the Department of Electronics and Communications Engineering, Panjab University. His research focuses on devising a novel and innovative, market-oriented mechanism for medical image fusion. He has previously worked as CSIR-Nehru Post-Doctoral Researcher with CSIR, Chandigarh; Junior and Senior Research Fellow with the Department of Electronics and Communication Engineering, Punjab University, Chandigarh; and Post-doctoral Fellow with the Center of Biomedical Engineering, IIT Ropar.Ashu Taneja is currently Associate Professor at Chitkara University, Punjab, India. She has more than 13 years of experience in academia and industrial research. She received her M.E. from Thapar University, Punjab. She has published more than 30 research papers in various International Journals (SCI & Scopus indexed) and chaired many sessions in international conferences across India. She has also published some edited books and chapters. She has served as a reviewer for many reputed journals, such as IEEE, IET, Hindawi and MDPI. She is a lifetime member of ISTE. Her research areas include IoT, 5G, 6G, wireless networks, energy harvesting.

• Session 1: Smart computingNon-invasive PCOS prediction using SVM: A data-driven machine learning approach Comparative evaluation of machine learning models for enhanced mental health prediction Optimized gradient boosting models for effective obesity risk assessment A comparative analysis of optimization algorithms for non-contact heart rate measurement using DNN Assessing classification algorithms in Fog computing for diabetes diagnosis: A TOPSIS analysis of kNN, Naïve Bayes, and SVM (Cubic)A hybrid approach to enhancing heart disease prediction using machine learning techniques Over The Top (OTT) media services: Market trends, viewer preferences and strategic implications An improved approach of robust and scalable WSN routing policy with adaptable loads using ranking mechanism by ML Adapting to the adversaries: A thorough examination of machine learning methods in the persistent fight against spam Securing networks with transfer learning neural networks: Identifying malicious traffic A comprehensive review of sentiment analysis methods for social media data Transforming customer insights: Sentiment analysis of Amazon reviews with Naive Bayes Session 2: Sustainable communicationA machine learning based approach for detection of fake news using real time data Design and development of a facial recognition-based system for extraction of missing person leads using deep learning algorithms Assessing the security risks of cryptocurrency mining pools: Strategies for mitigating centralization threats Strategies to mitigate neurocognitive decline in brain metastasis and treatment interventions Utilizing big data analytics and data mining techniques to improve operational efficiency for predictive maintenance in the automotive sector GastosBuddy: A smart personal finance manager with optical character recognition integration (OCR) and financial visualization forecast Recent advancements in the diagnosis of gastric cancer using AI-based MRI and CT imaging Machine learning for smarter supply chains: A playbook for next-generation inventory optimization Deep learning-based IoT solutions for real-time health monitoring Transforming smart education: RPA-driven scheduling for enhanced learning efficiency Session 3: Technological convergence and applicationsClinical relevance of AI-powered drug discovery Explainable AI for healthcare: Enhancing transparency and interpretability Examining the impact of academic pressure and workload in NEP system on student well-being and performance: A multi-dimensional analysis Energy-efficient Moore FSM implementation on Xilinx Genesys and Kintex FPGA families Optimizing data memory MIPS for addressing energy shortfalls with Kintex FPGA Protecting networks: A machine learning-based approach to prevent DDoS attack in SDNs Evaluating the accuracy and computational load of Booth’s Algorithm and Vedic multiplication in digital systemsEnhancing IoT with AI: A systematic literature review and comparative study of applications and performance Enhancing deepfake detection with CNNs and vision transformers: Navigating ethical and legal challenges Comparative analysis and evaluation of standard PSO with modified PSO R3 garage car rental: Leveraging real-time GPS tracking and web-based technology Automatic water tank level monitoring and controlling system using PLC and sensors Innovative approaches in designing an AutoPilot surveillance drone system XAI: Interpretability and explainability Session 4: Inspiring technology solutions for sustainable technologiesQuality management system for automated product sorting using PLC Deep learning approaches for image classification: Performance analysis and optimization Deep learning-based wild animal recognition for real-time intrusion detection and wildlife conservation Artificial intelligence influence on the function and consequences of human resource management with the locus of control and innovative work behaviour The overview and introduction of artificial intelligence and emotional intelligence to advertising AI-surveillance system for examination cheating prevention An automated prest-O-lite valve gripper switch for LPG tanks with SMS alert notification Kinetic energy conversion in human-powered exercise equipment: Advancing sustainable energy harvesting technologies Efficient printing solutions through the automated kiosk system Pest eliminator rover: Light-induced attracting catcher and computer vision-guided sprayer PigSmartHealth: A monitoring device for potential health risk Seismic monitoring device with wearable technology for enhanced search and rescue operations Sleep haven: A sleep-enhancing lamp with sleep state detection Analysis of congestion mitigation approaches in wireless sensor networks: Performance parameters and evaluation Analysis of cybercrime cases in India: Harnessing text mining for detecting crime against women Enhancing early learning experiences: Integrating Augmented Reality in early childhood education Security solution for industrial IoT: An Edge-Cloud based approach A scrutiny of resources within Wireless Mesh Networks aimed at improving network performance Patient perception and feasibility of telerehabilitation in patients with knee osteoarthritis Session 5: Healthcare computing and sustainabilityNanotechnology in healthcare: Green synthesis of silver nanoparticles for antifungal activity of essential oils Adopting telerehabilitation: Insights into physical therapists’ viewpoints and readiness for implementing telerehabilitation during COVID-19 AI-driven early detection of cataract, its type and grading: A review Blended in-service education model on attitude and satisfaction among nursing professionals Perception of nursing graduates towards their preparedness to practice in clinical setting during outbreak of COVID-19 in selected nursing colleges of Delhi & NCR Nurse-led interventions in hypertension: Enhancing adherence and self-efficacy An effectiveness of a dementia sensitization programme on awareness and attitude of middle-aged adults Antecedents of green healthcare activities for sustainable healthcare: An empirical investigation Impact of preterm infant oral motor intervention (PIOMI) in improving oral motor skills among preterm infants: A pilot study Respectful Maternity Care (RMC): Right of every women in labor Effectiveness of six sigma methodology on family planning methods The association between age-gender dynamics and dry eye syndrome in young adults: Study contributing to sustainable eye health Bioactive-based nanocarriers for sustainable ocular applications: A review Fast Hug Bids: A quantitative approach Factors contributing to the prevalence of diarrhea among under-5 year children: A cross-sectional survey Oral health in under five children: Assessing mothers’ knowledge and attitude Lamaze breathing technique during labor: Effect on maternal, fetal & neonatal parameters A novel virtual reality device for objective assessment of size of intraocular suppression for sustainable eyecare Visual comfort for a sustainable digital future: Investigating the link between letter contrast, accommodation, and pupillary responses Evidence-based resources from web-based information in optometry Evaluation of static and dynamic visual acuity of professional bus drivers: A cross sectional study Glaucoma detection in the age of AI: A solution for sustainable future A sustainable artificial intelligence solution for detection of early cataract: A comprehensive review Impact of various tinted shades on colour perception and contrast sensitivity