Section 1 Keynote addresses
Record linkage
Sartaj Sahni
Multiobject tracking: Challenges, opportunities and applications
Kannappan Palaniappan
The future computational camera
Srinvasa Narasimhan
AI for applications using Python language
S. Sitharama Iyengar
Computing concepts for enhancing artificial intelligence at the edge
Gunasekaran Seetharaman
LazyAI: Learning how and when not to act
Ankur Gupta
Section 2 Regular papers
Post-quantum security for Fog computing-based IoT systems against eavesdropping attacks
Haewon Byeon, Praveen Thuniki, Sateesh Kumar Nallamala, Aishwarya Selvam, Shubha Vakulabharanam, and Mohammed Wasim Bhatt
Intelligent traffic violation detection using deep learning and YOLOv8n: System design and performance analysis
Tribid Roy Mazumder, Rupayan Das, Santanu Basak, Angshuman Khan, and Soumya Sen
Cross-device behavioral fusion in personal IoT for early stress detection: A blockchain-enabled, privacy-preserving architecture
Naveed Jeelani Khan, Ankur Gupta, and Arsalan Manzoor Zargar
Real-time hybrid AI framework for anomaly detection in GraphQL APIs under nested-query attacks
Satyam Shrivastav, Siddesh Shirote, Sujit Patil, Durgesh Shukla, Rohit Solanke, Om Soma, and Dattatray Takale
Lightweight anomaly detection using TinyML models on simulated IoT networks
Vishalika and Vishal Gupta
Synergising fog and cloud computing: Intelligent task offloading for real-time IoT applications
Samreen Fayaz and Sparsh Sharma
A learning-based traffic-sensitive optimal route selection method in SDNs
Harjeet Kaur, Ranjit Singh, Samuel Tensingh, and Richa Sharma
Congestion-aware multi-agent path planning for smart healthcare
Niladri Maiti, Aadam Quraishi, Sateesh Kumar Nallamala, Shubha Vakulabharanam, Nidal Al Said, and Mohammad Shabaz
Performance analysis of MFCC-GMM and MFCC-CNN approaches for isolated word recognition in Dogri language
Niharika Sharma and Shubhnandan S. Jamwal
A privacy-preserving federated meta-learning framework for rare disease histopathology
Harashleen Kour, Shubham Gupta, and Surbhi Gupta
Machine learning framework for diabetes mellitus classification
Sivarama Prasad Tera, Ravikumar Chinthaginjala, and Suhaib Ahmed
Deep learning-based multichannel model for human activity recognition technology from wearable devices
Mukesh Soni, Mohan Raparthi, Sateesh Kumar Nallamala, Shubha Vakulabharanam, Nidal Al Said, and Mohammed Wasim Bhatt
A hybrid SWIN transformer and Model-Agnostic Meta-Learning framework for corticobasal degeneration detection
Arshia Gupta and Deepti Malhotra
Temporal–spatial deep learning models for multi-class DDoS detection: A comparative evaluation
A. Dennis Ananth, J. Mercy Sweetlin, and M. Rajakumaran
Mach Zehnder interferometer-based photonic matrix multiplication for AI acceleration devices
Mursal Ayub Hamdani, Umar Farooq, and Akash Kumar Pradhan
Hybrid imitation learning framework for optimizing decision-making in consumer electronics using lightweight AI
Haewon Byeon, Sudharshan Putha, Sateesh Kumar Nallamala, Shubha Vakulabharanam, Nidal Al Said, and Mohamma Shabaz
Hybrid AI framework for real-time traffic violation detection and road safety enhancement
Lakshay, Kriti Gupta, Anupam Mittal, and Saurabh Kumar
Leveraging the machine learning models to predict the impact of rising electricity bills and its expense on customers’ annual disbursement
Surbhi Sharma, Gurpreet Kaur, and Meena Kohli
Cancer diagnosis prediction using borderline-SMOTE balanced RNA-Seq data
Surbhi Gupta and Mehak Mengi
Detection of lumpy skin disease using machine learning-based approaches
Mansi Rank and Yogesh Kumar
Synergising fog and cloud computing: Intelligent task offloading for real-time IoT applications
Samreen Fayaz and Sparsh Sharma
A learning-based traffic-sensitive optimal route selection method in SDNs
Harjeet Kaur, Ranjit Singh, Samuel Tensingh, and Richa Sharma
Congestion-aware multi-agent path planning for smart healthcare
Niladri Maiti, Aadam Quraishi, Sateesh Kumar Nallamala, Shubha Vakulabharanam, Nidal Al Said, and Mohammad Shabaz
Performance analysis of MFCC-GMM and MFCC-CNN approaches for isolated word recognition in Dogri language
Niharika Sharma and Shubhnandan S. Jamwal
A privacy-preserving federated meta-learning framework for rare disease histopathology
Harashleen Kour, Shubham Gupta, and Surbhi Gupta
Machine learning framework for diabetes mellitus classification
Sivarama Prasad Tera, Ravikumar Chinthaginjala, and Suhaib Ahmed
Deep learning-based multichannel model for human activity recognition technology from wearable devices
Mukesh Soni, Mohan Raparthi, Sateesh Kumar Nallamala, Shubha Vakulabharanam, Nidal Al Said, and Mohammed Wasim Bhatt
A hybrid SWIN transformer and Model-Agnostic Meta-Learning framework for corticobasal degeneration detection
Arshia Gupta and Deepti Malhotra
Temporal–spatial deep learning models for multi-class DDoS detection: A comparative evaluation
A. Dennis Ananth, J. Mercy Sweetlin, and M. Rajakumaran
Mach Zehnder interferometer based photonic matrix multiplication for AI acceleration devices
Mursal Ayub Hamdani, Umar Farooq, and Akash Kumar Pradhan
Hybrid imitation learning framework for optimizing decision-making in consumer electronics using lightweight AI
Haewon Byeon, Sudharshan Putha, Sateesh Kumar Nallamala, Shubha Vakulabharanam, Nidal Al Said, and Mohamma Shabaz
Hybrid AI framework for real-time traffic violation detection and road safety enhancement
Lakshay, Kriti Gupta, Anupam Mittal, and Saurabh Kumar
Leveraging the machine learning models to predict the impact of rising electricity bill and its expense on the customers’ annual disbursement
Surbhi Sharma, Gurpreet Kau, and Gurpreet Kau
Cancer diagnosis prediction using borderline-SMOTE balanced RNA-Seq data
Surbhi Gupta and Mehak Mengi
Detection of lumpy skin disease using machine learning-based approaches
Mansi Rank and Yogesh Kumar
DWT- and PCA-based color image watermarking using genetic algorithm
Ayush Kumar, Manoj Kumar Pandey, and Manju Lata
Ensemble transfer learning framework for early autism identification using structural MRI
Anand Mohan Kumar, Sahil Kumar Ashat, Rithik Kumar, Vikas Mittal, and Paurav Goel
A novel approach for citrus greening disease severity assessment: Hybrid deep learning using autoencoder and random forest
Prabhnoor Bachhal, Rishabh Sharma, Shubham Gargrish, Vatsala Ananad, Khushleen Kaur, and Pawan Kumar Pandey
Deep learning in digital pathology for prostate cancer: A comprehensive review of detection, segmentation, and grading methodologies
Inderjeet, Paurav Goel, and Navneet Sehgal
DenCeptionNet-PD: A transfer learning-based ensemble framework for early prediction of Parkinson’s disease
Khushboo Kumari, Rishav Raj, Vinay Bamniya, and Arshia Gupta
A review of automatic pronunciation mistake detector
Sakshini Hangloo and Himanshu Sharma
DANN-based harmonization of multi-center fMRI for ASD classification using ABIDE I and II
Mehak Mengi and Parul Sharma
Early detection of lung cancer using convolutional neural networks and DNA methylation biomarker analysis
Kandula Sravani, Sneha G, Bhoomeshwar Bala, Arathi Chitla, Raja Shekar Kadurka, Mada Prasad, and Katla Aruna Jyothi
Deep learning pipeline for precise autoimmune disease prediction
Sudhanshu Prakash, Shonak Bansal, Kriti Gupta, and Samuel Tensingh
AI-driven legal assistant for legal empowerment in India: Leveraging Indian legal datasets to promote access to justice
Udayan Sharma, Suhasini Monga, and Pawan Kumar Pandey
Biography
Ankur Gupta is currently serving as Director at the Model Institute of Engineering and Technology, Jammu (India), besides being a Professor at the Dept. of Computer Science and Engineering. He has 25+ years of experience spanning industry and academia. Prior to joining MIET, he worked as a Team Leader at Hewlett-Packard, India at Bengaluru. He has over 100 published research papers in international journals/conferences. He holds B.E (Hons.) CS and MS degrees from BITS, Pilani and PhD from NIT, Hamirpur. He has 24 patents granted and 75 patents filed at the Indian Patents Office. He is the inventor of the Performance Insight 360, quality analytics framework for higher education which has received several accolades. He has received the DSFT-FIST Grant in 2012, first in the private sector in J&K and received competitive grants over Rs. 2.5 Crore from various funding agencies. He is a recipient of the AICTE Career Award, faculty awards from IBM, EMC and Rs. 2 crores in funding from Govt. agencies. He is also Senior member IEEE and ACM and founder of the International Journal of Next-Generation Computing. His research interests are in cloud computing, P2P networks, network management, artificial intelligence and metaverse.
