Computing, Communication and Intelligence

Srinivas SethiProf. Srinivas Sethi is a professor in Computer Science Engineering & Application, Indira Gandhi Institute of Technology, Sarang (IGIT, Sarang), India, and has been actively involved in teaching and research since 1997. He did his Ph.D. in the area of routing algorithms in mobile ad hoc network and is continuing his research work in the wireless sensor network, cognitive radio network, cloud computing, BCI, and Cognitive Science. He is a member of the Editorial Board for different journal and program committee members for different international conferences/ workshops. He is book editor of 4 international conference proceedings published in Springer and Taylor & Francis. He has published more than 100 research papers in international journals, edited book chapters, and conference proceedings. He also published 2 nos. of Books. He completed 8 numbers of research and consultancy projects funded by different funding agencies such as DRDO, DST, AICTE, NPIU, and local Govt. office.Bibhudatta SahooProf. Bibhudatta Sahoo is a computer science professor at NIT Rourkela, India, specializing in Algorithmic Engineering, Distributed Systems, Cloud Computing, Fog/Edge Computing & IoT, and Software Defined Networks/NFV. With a wealth of knowledge and expertise in these areas, Prof. Sahoo is at the forefront of cutting-edge research and innovation. Their research focuses on developing efficient algorithms and designing scalable distributed systems to address the challenges posed by modern computing paradigms such as cloud computing, fog/edge computing, and IoT. Driven by a passion for advancing the field, they have significantly contributed to developing software-defined networks and network function virtualization. Through their research, publications, and mentorship, Prof. Sahoo has inspired and empowered countless students, fostering a new generation of computer scientists equipped with the skills to tackle complex problems in the rapidly evolving world of technology.Deepak ToshProf. Deepak Tosh (Senior Member, IEEE) is an assistant professor of Computer Science at the University of Texas at El Paso. His research focuses on addressing various multi-disciplinary networking and cybersecurity challenges associated to critical national infrastructures, Industrial Internet of Things, Blockchain, and tactical battlefields. He works closely with researchers from U.S. Air Force Research Laboratory (AFRL), Sandia National Lab, and Army Research Laboratory (ARL) on developing resilient data/process provenance mechanisms for industrial operational technology environments, and military applications. His research has been funded from Department of Energy, National Science Foundation (NSF), and Department of Defense. He has authored/co-authored more than 70 peer-reviewed conference papers, book chapters, and journal papers. Two of his research works on Blockchain were also awarded as “Top 50 Blockchain Papers in 2018” at Block chain Connect Conference, 2019. He is also a recipient of prestigious NSF CAREER award, 2022.Suvendra Kumar JayasinghDr. Suvendra Kumar Jayasingh is working as Associate Professor and HOD in the Department of Computer Science & Engineering, Institute of Management and Information Technology (IMIT), Cuttack (A Constituent College of BPUT, Govt. of Odisha) after being selected by OPSC (Orissa Public Service Commission) in 2005. He has obtained his Bachelor of Engineering in the year 2003 from University College of Engineering (UCE), Burla (Now VSSUT). He got his M. Tech. in Computer Science & Engineering in 2007 from RVU, Udaipur and Ph. D. in Computer Science & Engineering in 2020 from North Orissa University, Baripada. He is having more than 20 years of teaching experience in Computer Science & Engineering and MCA. He has published several articles, book chapters in reputed National and International journals and periodicals including Springer and Taylor & Francis and has presented research papers in National and International Seminars and Conferences. He has organized many National and International Conferences and FDPs in collaboration with IITs, NITs and NITTTRs. His research interests include Artificial Intelligence, Data Mining, Soft Computing, Machine Learning, Computational Intelligence, Database Management System and Algorithm Analysis and Design. He has published book on “Introduction to Machine Learning”, by Taran Publication, New Delhi, edited books on “Computing, Communication and Intelligence”, “Intelligent Computing Techniques and Applications” by CRC Press, Taylor & Francis, UK patent on “Smart Home Air Quality Monitoring Device” and Indian Patent on “AI based Diary Products Testing Device”. He is a life member of Indian Society for Technical Education (ISTE).Sourav KumarBhoi Prof. Sourav Kumar Bhoi (Sr. Member, IEEE and Member, ACM) completed his Doctoral (2017) and M. Tech. (2013) degrees from Department of Computer Science and Engineering, National Institute of Technology (NIT), Rourkela, India respectively. He completed his B. Tech (2011) from Dept. of CSE, Veer Surendra Sai University of Technology, Burla India. He completed his PDF (2023) research work from Srinivas University, India in CS&IS programme. He is currently working as Assistant Professor since 2016 in Dept. of CSE, Parala Maharaja Engineering College (a Govt. college affiliated to BPUT), Berhampur, India. His research interest includes Vehicular Networks, Internet of Things, Edge and Fog Computing, Machine Learning, and Information Security. He has nearly 10 years of teaching and research experience. He published nearly 130+ research publications in reputed International Journals and Conferences. He published 09 books/book chapters as author/co-author and 03 Indian Patents. He received nearly 10+ State/National/ International Awards for his research works such as prestigious IET Premium Award 2016, India Book of Record Holder 2022, BPUT-University Faculty Research Award 2021, ISTE-Rajalaxmi Award for Best Engineering College Teacher Award of Odisha State 2022, Institution of Engineers (IEI)-Sadananda Memorial Award 2021, Institution of Engineers (IEI)-JN Panda Memorial Award 2024, PDF Researcher with Good performance Award 2023, etc. He also completed one MHRD, Govt. of India research project on Smart Irrigation & continuing with one Project of AICTE, Govt. of India. He also acts as reviewer for many reputed organizations such as IEEE, IET, Elsevier, Springer, MDPI, Hindawi, Wiley, Taylor and Francis, etc. He guided nearly 80+ B.Tech students, 03 PG students, 01 PhD scholar awarded with Ph.D. degree, and currently guiding 03 Ph.D. scholars in new recent areas of Computer Sci. and Engg. He also acts as Faculty In-charge/Member of many administrative level sections/committees at institute and dept.

• 1. Hybrid Social Spider and Grey Wolf Optimization for Enhanced Lifetime in Wireless Sensor Network 2. A Comparative Study of Explainable Artificial Intelligence Algorithms in Local Interpretable Model-Agnostic based Pneumonia Prediction 3. HERPEE: Hybrid Energy-Aware Routing Protocol with Energy Estimation in IoT-Based Sensor Networks 4. High-Accuracy Face Mask Detection in Nuclear Environments using Ensemble Learning and XGBoost 5. Contouring the Images of Lung Cancer Detection using CNN 6. Improving the Accuracy of Used Car Price Prediction Using Machine Learning Models 7. Leveraging Fractal Patterns in Machine Intelligence to Classify Brain Tumor Imaging 8. An Extreme Gradient Boosting Based Automated Software Defect Prediction Model Using Dimensionality Reduction Technique 9. Optimum Rectangular Dielectric Resonator Antenna for Sub-6GHz in Rapid 5G Communication Networks 10. Load Balancing in Cloud Computing Using Modified ANT Colony Algorithm 11. A Case Study of the Application of Deep Learning to Detect Skin Cancer 12. Machine Learning Approach for Image Caption Generation 13. Intelligent System for Corrosion Detection and Prediction System Using Deep Learning 14. Decentralized Brain Tumor Detection using Transfer Learning in Federated Frameworks 15. IoT based Anti-Collision Devices for Indian Railway: Insights to Implications 16. Deep Learning Based Face Recognition System with Modified MTCNN and FaceNet 17. Developing Encryption Strategies and Key Management Protocols that Ensure Security in Dynamic Graph Networks through the Utilization of Asymmetric Cryptography 18. Advanced Wearable Sensors for Early Parkinson’s Disease Tremor Detection using Accelerometers and Gyroscopes 19. Enhancing MNIST Digit Classification Through Integrated Machine Learning and XAI Approaches 20. Predicting Heart Disease using High Utility Itemsets Mining with an Enhanced Swarm Intelligence Model 9621. New Era of Pre Computation for Big Data Handling with Graph and Vector Databases 22. Harmony AI: A Web-Based ML Model for Hand Sign Language Translation 23. Implementation of Super AI in the Automation of Examination System for Academic Enrichment: A Complete Learning for Tomorrow 24. Bio-Inspired Real-Time Facial Emotion Detection using Yolov11 25. Time-Series based Drug Efficiency and Side-Effect Prediction: Leveraging Machine Learning for Enhanced Drug Safety and Personalized Medicine 26. Intelligent Systems with Cloud IoT Integration: A Synergistic Approach for Enhanced Decision-Making 27. Leveraging AI for Enhanced Credit Scoring in Financial Services 28. Enhanced Dermoscopic Image Analysis for Skin Cancer Detection Using Transfer Learning 29. Smart Intelli Secure-Based LPG and Fire Safety System with Automatic Door Control 30. Convolutional Neural Network Approach for Grape Leaf Disease Classification 31. High-Efficiency Optical Polarizer using Silicon based 2D Device for Photonic Integrated Circuits 32. GPT-4-Powered Medical Recommendation System using SNOMED 33. Deep Q-Network-Based Self-Healing for Enhanced UE Experience in 5G Networks 34. Machine Learning Applications in Predicting the Disease Progression in Diabetes Patients: A Comprehensive Exploration 35. A Crop Recommendation System with High Accuracy Utilizing Ensemble Machine Learning Techniques 36. Leveraging Transfer Learning for Enhanced Handwritten Digit Recognition using EfficientNet and Fine-Tuned CNN 37. Efficient Task Scheduling Algorithm Based Load Balancing in Cloud Computing 38. Automation in Healthcare: A Robotic Approach for Patient Registration, Vital Sign Tracking, and Chatbot Interaction 39. Energy Optimization of LoRa Networks of Smart Building using Machine Learning 40. Characterizing Serverless Workloads in Production 41. SMOTETomek Enriched GWO: A Hybrid Approach for Diabetes Disease Prediction 42. Utilizing Machine Learning to Enhance Agronomic Practices and Crop Yield Prediction 43. Lung Cancer Detection using Machine Learning: A Comprehensive Approach with Logistic Boosting Model Accuracy 44. IoT Assisted Novel Anti-Collision Warning System for Indian Heavy Commercial Vehicles 45. A Systematic Review of Computational Intelligence Approaches for Improving Communication and Security in Vehicular Adhoc Networks 46. Harnessing LSTM Networks for Predictive Analysis in Stock Market Dynamics 47. Harnessing Deep Learning and Transfer Learning for Gemstone Classification and Authenticity Analysis 48. Advancing Land Use and Land Cover Classification Through Deep Learning in Satellite Imagery 49. Deep Learning Based Classification of Bone Fracture: A Vision Transformer-CNN Approach 50. Multi-Class Disease Detection for Sugarcane Leaf using CNN and Transfer Learning Approach 51. Identification of Key Environmental Factors Affecting Atmospheric Corrosion of Mild Steel Using Machine Learning Techniques 52. Integrating CNNs and Vision Transformers for Enhanced Pneumonia Detection in Radiographic Images 53. Enhanced Food Quality Detection using CNN Architectures 54. ABC-LNN: A Hybrid Task Scheduling and Load Balancing Approach Leveraging Artificial Bee Colony with Liquid Neural Networks in Cloud Computing 55. Energy Efficiency in Wireless Sensor-based Internet of Things: An Experimental Analysis 56. Transfer Learning based ResNet50 Model for Emotion Detection 57. Evaluating the Performance of RCNN Variants for Multi-Object Analysis in Images 58. Encoded Feature Fusion-Based Pneumonia Detection using Ensemble Federated Approach 59. IoT-integrated Water Quality Surveillance and Smart Feeding for High-Density Pisciculture Sustainability 60. Enhancing Cardiovascular Risk Prediction with Optimal Performance of Random Gradient Ensemble Model 61. Inertia Weight Strategies with Time Variations in PSO-based Cloud Task Scheduling Algorithm 62. AI-Powered Digital Signages Management System: A Revolution in Digital Marketing 63. A Particle Swarm Optimization Based Neural Network Model for Tourism Machination System 64. Neuralink Unleashed: Navigating the Intersections of Technology, Humanity, and Nature 65. Predication of Solar Still Production Rate using Artificial Neural Network and Step Regression Model 66. A Blockchain Enable Technology for IoT Based Applications for Enhancing the Security and Transparency 67. Heart Stroke Prediction Using Machine Learning Approach with Clinical and Demographic Factors 68. Malaria Detection from Blood Smears Using Deep Learning Frameworks69. Deep Learning-Based Stock Forecasting and Recommendation System using a Hybrid TCN-LSTM Approach Incorporating Fundamental and Technical Analysis