PROGRAM
Days: Friday, January 19th Saturday, January 20th Sunday, January 21st
Friday, January 19th
View this program: with abstractssession overviewtalk overview
10:00-11:00 Session 2: Workshop-I - Dr. Seema Purohit, Professor Emeritus, Birla College of Arts, Science and Commerce Topic: Software for Digital Scholarship - JAMOVI
Location: Ambedkar Auditorium
10:00 | Software for Digital Scholarship - JAMOVI (abstract) |
11:00-12:00 Session 3: Tutorial-I - Mrityunjoy Panday, AI Architect, Cognizant Technology Solutions Topic : LLM Autonomous Agents
Location: Ambedkar Auditorium
11:00 | LLM Autonomous Agents (abstract) |
12:00-12:15Networking Break
12:15-13:15 Session 4: Tutorial-II - Ramesh Srinivasan, Head, Data & Analytics for AWS Business unit, Tata Consultancy Services Topic: Navigating the Data Landscape with Data Mesh and AWS DataZone
Location: Ambedkar Auditorium
12:15 | Navigating the Data Landscape with Data Mesh and AWS DataZone (abstract) |
13:15-14:15Networking Lunch
14:15-15:15 Session 5: Tutorial-III - Amarjeet Sharma, Senior Technical Officer, C-DAC Patna Topic: Empowering Patient-Centered Care: Innovating Healthcare Diagnostics with AI and Data Insights
Location: Ambedkar Auditorium
14:15 | : Empowering Patient-Centered Care: Innovating Healthcare Diagnostics with AI and Data Insights (abstract) |
15:15-16:15 Session 6: Tutorial-IV - Pradheep Kumar, BIT Pilani, Chennai Topic : Quantum Machine Learning Applications for Quantum Data sets
Location: Ambedkar Auditorium
15:15 | Quantum Machine Learning Applications for Quantum Data sets (abstract) |
16:15-16:30Networking Break
16:30-17:30 Session 7: Workshop-II - Aryan Shrivastava, IoT Systems Engineer, Leap and Scale Topic: Collection and Management of Data for Analytics
Location: Ambedkar Auditorium
16:30 | Collection and Management of Data for Analytics (abstract) |
Saturday, January 20th
View this program: with abstractssession overviewtalk overview
10:45-11:05 Session 10: Keynote Speaker-I - Prashant Joshi, Founder and Director-Leap and Scale Topic: Unveiling the Power of Right-sized Data in Industrial IoT: Driving Precision and Immediate Impact
Location: Ambedkar Auditorium
10:45 | Data Science for Social Good: A Journey through Impactful Projects (abstract) |
11:05-11:25 Session 11: Keynote Speaker-II - Prof. Dr. Ho Chin Kaun, Vice Chancellor, Asia Pacific University of Technology and Innovation, Kuala Lumpur, Malaysia Topic: Data Science for Social Good: A Journey through Impactful Projects
Location: Ambedkar Auditorium
11:05 | Data Enlightenment and Philosophical Landscape of Contemporary Analytics (abstract) |
11:25-11:40Networking Break
11:40-13:10 Session 12A: Track I - MACHINE LEARNING
Chairs:
Dr. Raja Das (Associate Professor, Grade 2 , VIT ,Vellore, India)
Saptarsi Goswami (AKCSIT, CTS, India)
Saptarsi Goswami (AKCSIT, CTS, India)
Location: T311
11:40 | A multifactor authentication framework for usability in education sectors in uganda (abstract) PRESENTER: Hilda Mpirirwe |
11:55 | Facial features extraction and classification: a machine learning approach (abstract) PRESENTER: Shashank Pratap |
12:10 | Towards Space Efficient Semantic Querying with Graph Databases (abstract) PRESENTER: Sumukh Sirmokadam |
12:25 | Crop recommendation and irrigation system using machine learning with integrated IoT devices (abstract) PRESENTER: Mohammad Umair Khan |
12:40 | Enhancing agriculture productivity with IoT-enabled predictive analytics & machine learning (abstract) PRESENTER: Vignesh K |
11:40-13:10 Session 12B: Track I - MACHINE LEARNING
Chairs:
Dr. Seema Purohit (S4DS, India)
Dr. Selvakumar R (Professor Higher Academic Grade , VIT ,Vellore, India)
Dr. Selvakumar R (Professor Higher Academic Grade , VIT ,Vellore, India)
Location: T312
11:40 | An optimized machine learning model for crop yield predication by applying weighted ensemble technique (abstract) PRESENTER: Dr. Shivani S. Kale |
11:55 | Predicting chronic kidney disease progression using classification and ensemble learning (abstract) PRESENTER: Valli Mayil Velayutham |
12:10 | From pixels to insight: enhancing metallic component defect detection with GLCM features and AI explainability (abstract) PRESENTER: Amoga Varsha |
12:25 | A comprehensive literature review on emerging potentials of machine learning algorithms on geospatial platform for medicinal plant cultivation management in existing scenario. (abstract) PRESENTER: Dr. Pradeep Ambavane |
12:40 | Predicting mental health disorders in the technical workplace: a study on feature selection and classification algorithms (abstract) PRESENTER: Sumitra Mallick |
11:40-13:10 Session 12C: Track II- AI & DEEP LEARNING
Chairs:
Location: T707
11:40 | Driver drowsiness detection system using YOLO v5 (abstract) PRESENTER: Rishabh Patil |
11:55 | Forecast of energy demand using temporal fusion transformer (abstract) PRESENTER: Chandreyi Chowdhury |
12:10 | An enhanced deep learning method to generate synthetic images with features that are comparable to original images using neural style transfer (abstract) PRESENTER: Logash Kumar |
12:25 | A framework for analyzing legal documents by leveraging knowledge graphs (abstract) PRESENTER: Sumukh Sirmokadam |
12:40 | VGGish deep learning model: audio feature extraction and analysis (abstract) PRESENTER: Mandar Diwakar |
11:40-13:10 Session 12D: Track II - AI & DEEP LEARNING
Chairs:
Mritunjoyq Pandey (Cognizant, India)
Dr. Balakrushna Tripathy (Professor Higher Academic Grade , VIT ,Vellore, India)
Dr. Balakrushna Tripathy (Professor Higher Academic Grade , VIT ,Vellore, India)
Location: T725
11:40 | Boosting tiny object detection in complex backgrounds through deep multi-instance learning (abstract) PRESENTER: Sudipta Mukhopadhyay |
11:55 | Blending psychological models with modern HCI techniques to develop artificial emotional intelligent “affective” systems (abstract) PRESENTER: Ajay Kapase |
12:10 | Shift of customer from unorganized to organised sector in retail: is adoption of technology a catalyst (abstract) PRESENTER: Harikrishnan R |
12:25 | Offshore wind power energy develops energy storage capacity for low carbon footprint to implement green artificial intelligence and sustainability (abstract) PRESENTER: Bindiya Jain |
12:40 | Mental health prediction using artificial intelligence (abstract) PRESENTER: Mrinmayee Deshpande |
11:40-13:10 Session 12E: Track V - Data Analytics & Utility Application Services
Chairs:
Location: T513
11:40 | Single person occupancy detection using PIR sensors (abstract) PRESENTER: Ranjit Kolkar |
11:55 | H-index analysis of research paper using web crawling techniques (abstract) PRESENTER: Omprakash Kambli |
12:10 | A simplified hasse diagram for visualising large datasets (abstract) PRESENTER: Santhosh Y M |
12:25 | Unbreakable passwords: fortifying cryptographic security with derangement keys (abstract) PRESENTER: Shreyas R |
12:40 | Green banking awareness: a study on tier 3 location – with special reference to kerala (abstract) PRESENTER: Anjalidevi S |
13:10-13:55Networking Lunch
13:55-14:15 Session 13: Keynote Speaker-III - Aditya Sinha, Director at C-DAC Patna & C-DAC Kolkata | Scientist 'G' | MeitY, Government of IndiaTopic: Data Enlightenment and Philosophical Landscape of Contemporary Analytics
Location: Ambedkar Auditorium
13:55 | Semiparametric regression analysis of panel count data with multiple modes of recurrence (abstract) |
14:15-14:35 Session 14: Keynote Speaker-IV - P. G. Sankaran, Vice Chancellor, Cochin University of Science and Technology, Cochin Topic: Semiparametric regression analysis of panel count data with multiple modes of recurrence
Location: Ambedkar Auditorium
14:15 | Unveiling the Power of Right-sized Data in Industrial IoT: Driving Precision and Immediate Impact (abstract) |
14:35-15:15 Session 15: Panel Discussion - Examining the Confluence of Data Science, Educational Assessment, and AI - A technohumanity view
Location: Ambedkar Auditorium
15:15-15:30Networking Break
15:30-17:00 Session 16A: Track I - MACHINE LEARNING
Chairs:
Location: T311
15:30 | Enhanced artificial neural networks for prostate cancer detection and classification (abstract) |
15:45 | An intelligent system for prediction of lung cancer under machine learning framework (abstract) PRESENTER: Antara Bhandari |
16:00 | Identification of misinformation using word embedding technique Word2Vec, machine learning and deep learning models (abstract) PRESENTER: Arati Chabukswar |
16:15 | Rank prediction for indian universities based on national institutional ranking framework (abstract) PRESENTER: Harshali Patil |
16:30 | Agricultural indicators as predictors of annual water quality: an analysis of interconnectedness and prediction using machine learning (abstract) PRESENTER: Lukas Maier |
15:30-17:00 Session 16B: Track I -MACHINE LEARNING
Chairs:
Dr. Seema Purohit (S4DS, India)
Dr. Aswani Kumar Cherukuri (Professor Higher Academic Grade , VIT ,Vellore, India)
Dr. Aswani Kumar Cherukuri (Professor Higher Academic Grade , VIT ,Vellore, India)
Location: T312
15:30 | Gender gaps in the context of cryptocurrency literacy: evidence from survey data in europe and asia (abstract) PRESENTER: Ralf Hoechenberger |
15:45 | Fruit and vegetable segmentation with decision trees (abstract) |
16:00 | Analyzing UNO statistics on land use of agricultural practices by using k-means clustering and SARIMA: irrigated, organic, and overall agricultural activities on a global scale (abstract) PRESENTER: Moritz Wüst |
16:15 | Handling missing data in longitudinal anthropometric data using multiple imputation method (abstract) PRESENTER: Dhruv Varma |
16:30 | Enhancing the detection of fake news in social media: A comparison of support vector machine algorithms, hugging face transformers, and passive aggressive classifier (abstract) PRESENTER: Shamik Misra |
16:45 | Multi script handwriting recognition using RNN- transformer archite (abstract) PRESENTER: Murali Krishna G |
15:30-17:00 Session 16C: Track II - AI & DEEP LEARNING
Chairs:
Juergen Seitz (Session Chair, Germany)
K. Saravanan (College of Engineering, Guindy, Anna University, Chennai, India)
K. Saravanan (College of Engineering, Guindy, Anna University, Chennai, India)
Location: T707
15:30 | Plant identification and disease detection system using deep convolutional neural networks (abstract) PRESENTER: Rucha Shriram |
15:45 | Diabetic retinopathy detection using real-world dataset of fundus images (abstract) PRESENTER: Raksheet Jain |
16:00 | Blending motion capture and 3D human reconstruction techniques for enhanced character animation (abstract) PRESENTER: Anshuman Giramkar |
16:15 | A graphical neural network-based chatbot model for assisting cancer patients with dietary assessment in their survivorship (abstract) PRESENTER: Jhilam Mukherjee |
16:30 | Preserving tamil brahmi letters on ancient inscriptions: a novel preprocessing technique for diverse applications (abstract) PRESENTER: Poornimathi K |
15:30-17:00 Session 16D: Track II - AI & DEEP LEARNING
Chairs:
Location: T725
15:30 | Comparative analysis of deep learning models for car part image segmentation (abstract) PRESENTER: Anupama M A |
15:45 | Stacking ensemble-based approach for sarcasm identification with multiple contextual word embeddings (abstract) PRESENTER: G.R.S. Murthy |
16:00 | A two-stage CNN based satellite image analysis framework for estimating building-count in residential built-up area (abstract) PRESENTER: Shambo Chatterjee |
16:15 | E-CNN-FFE: an enhanced convolutional neural network for facial feature extraction and its comparative analysis with FaceNet, DeepID, and LBPH methods (abstract) PRESENTER: Srinivas S |
16:30 | Improving sentiment analysis by handling negation on twitter data using deep learning approaches (abstract) PRESENTER: Mamatha M |
15:30-17:00 Session 16E: Track IV - ENABLEING TECHNOLOGICS
Chairs:
Inderjeet Singh (Society For Data Science, India)
Prashant Joshi (Founder & Director, Leap & Scale, India)
Prashant Joshi (Founder & Director, Leap & Scale, India)
Location: T513
15:30 | Quantum computing based banking system (abstract) |
15:45 | Li-fi for secured access to wireless network during online examination in classrooms (abstract) PRESENTER: Sanket Salvi |
16:00 | Smart farming based on IoT-edge computing: exploiting microservices architecture for service decomposition (abstract) PRESENTER: Dr.Nitin Rathore |
16:15 | Design and analysis of quantum transfer fractal priority replay and mirdad priority loss algorithms for quantum reinforcement learning (abstract) PRESENTER: Palanivel Rajalingam |
16:30 | Chatbot development simplified: an in-depth look at JIGYASABOT platform and alternatives (abstract) PRESENTER: Amol R Madane |
16:45 | Maximizing cloud resource utility: region-adaptive optimization via machine learning-informed spot price predictions (abstract) PRESENTER: Kavita Srivastava |
17:00 | Guarding the gateway: data privacy and security in metaverse tourism (abstract) |
Sunday, January 21st
View this program: with abstractssession overviewtalk overview
09:30-09:50 Session 18: Keynote Speaker-V - Alfred M. Bruckstein, Technion - Israel Institute of Technology, Israel Topic: Decentralized and Distributed Task Allocation in Autonomous Swarms
Location: Ambedkar Auditorium
09:30 | Decentralized and Distributed Task Allocation in Autonomous Swarms |
09:50-10:10 Session 19: Keynote Speaker-VI - Amir H Gandomi, Professor of Data Science at University of Technology Sydney, New South Wales, Australia Topic: Evolutionary Intelligence for Data Analytics
Location: Ambedkar Auditorium
09:50 | Evolutionary Intelligence for Data Analytics (abstract) |
10:10-10:30 Session 20: Keynote Speaker-VII - Pethuru Raj, Vice President and Chief Architect, Edge AI Division, Reliance Jio latforms Ltd., Bangalore Topic: Edge AI for Real-time and Intelligent Industrial Applications and Services
Location: Ambedkar Auditorium
10:10 | Edge AI for Real-time and Intelligent Industrial Applications and Services (abstract) |
10:30-10:50 Session 21: Keynote Speaker-VIII - Sabyasachi Mukhopadhyay, Centre For Computational And Data Sciences, IIT Kharagpur Topic: GPTFX: A Novel GPT-3 Based Framework for Mental Health Detection and Explanations
Location: Ambedkar Auditorium
10:30 | GPTFX: A Novel GPT-3 Based Framework for Mental Health Detection and Explanations (abstract) |
11:20-11:30Networking Break
11:30-12:30 Session 23A: Track II - AI & DEEP LEARNING
Chairs:
Location: T311
11:30 | Trigger-based pothole detection, and warning system with RQ and PHR mapping (abstract) PRESENTER: Bishal Kumar Ghosh |
11:45 | Question answering in medical domain using natural language processing: a review (abstract) PRESENTER: Rudra Chandra Ghosh |
12:00 | A novel method for communication-efficient and privacy-preserving AI model generation and optimization through federated learning (abstract) PRESENTER: Suryabhan Singh |
11:30-12:30 Session 23B: SP 1 - 6G Communication Technologies in Amalgamation with ML Techniques
Chairs:
Location: T312
11:30 | A study of multimodal sentiment analysis and design of an architecture (abstract) |
11:45 | Quantum smart world era – a digital innovative perspective (abstract) PRESENTER: Saravanan Krishnan |
12:00 | Privacy-preserving chaotic extreme learning machine with fully homomorphic encryption (abstract) |
12:15 | Network slicing and traffic classification in 5G with explainable machine learning (abstract) PRESENTER: Nagendra Singh |
11:30-12:30 Session 23C: Track V - Data Analytics & Utility Application Services
Chairs:
Location: T707
11:30 | Investigation of various data-driven modeling techniques for an industrial heat exchanger (abstract) PRESENTER: Resma Madhu P K |
11:45 | Harnessing the power of LSTM-XGBoost ensemble model for prediction of sea surface temperature anomalies in the indian ocean (abstract) PRESENTER: Kunal Chakraborty |
12:00 | A comparative analysis of top NIRF ranked universities and international universities using search engine optimization tools & techniques (abstract) PRESENTER: Shri Hari |
12:15 | A sustainable antenna design to enhance precision beamforming capabilities (abstract) |
11:30-12:30 Session 23D: SP 2 - Health Analytics:From Data to Insights
11:30 | Biomedical data management and analytics in IoMT (abstract) PRESENTER: Niha Kamal Basha |
11:45 | Inter-state disparities in maternal mortality ratio in india – two decade analysis (abstract) PRESENTER: Divya Sharma |
12:30-13:15Networking Lunch
13:15-13:35 Session 24: Keynote Speaker-IX - Valentina E. Balas, University from Arad, Romania Topic: Moore's Laws and Their Impact on Higher Technical Education: Exploring Implications
Location: Ambedkar Auditorium
13:15 | Moore's Laws and Their Impact on Higher Technical Education: Exploring Implications (abstract) |