| Mr. Atharv Bhagya & Mr. Banala Tharun | Clustering of Rice Data using Phenotypic Characteristics |
| Ms. Pranjali Gavhale & Mr. Patel N. Prakashbhai | Machine Learning for Path-Prediction of Fleet of Drones |
| Mr. Rishi Parsai & Mr. M. Sai Akshay Reddy | Approximations in Chameleon Clustering |
| Mr. Karthik Boddupalli & Mr. Siddartha Chennareddy | Deep Learning for Cervical Cancer Classification |
| Mr. Mayank Tayal & Mr. Prathmesh Patil | Hand-Crafted Descriptors for Thyroid Cancer Classification |
| Mr. Shiva Nunemunthala | Explainable AI For Thyroid Nodule Classification |
| Mr. Rohit Banga | Sampling and Clustering of Genome Sequences |
| Mr. Mukesh Meena | Potential-Based Reward Shaping Using Neural Tensor Network |
| Mr. Samarth Anand & Mr. Vijay Kumpatla | Approximate Deep Learning |
| Mr. Uday Mettukuru & Mr. Sai Chowdarapu | Myoelectric Pattern Recognition System |
| Mr. Yash Gutgutia & Ms. Muskan Pardasani | Analysing Emerging Algorithms in Multi-Agent Reinforcement Learning |
| Mr. Kartik Garg & Mr. Snehashriie Bhukya | Game Theoretic Approaches in Lending to the Poor |
| Mr. Aryan Verma & Mr. Rishab Yadav | Data-Driven Model Reduction for Slowing Climate Change |
| Mr. Mohd Ubaid Shaikh | Lagrangian Heuristics Based Parallel FPGA Router |
| Mr. Rohit Nikam | Optimizing operations involved in Cell Architecture |
| Mr. Seemandhar Jain | Efficient Clustering of Genomes using Probabilistic Samplings |
| Mr. Sparsh Gupta & Mr. Neeraj Verma | Thyroid Nodule Classification Using Texture Exploiting Descriptors |
| Ms. Jhalak Gupta | Deep Learning Based Graph Classification using Minimum DFS Code |
| Mr. Yasasvi V. Peruvemba | Exploring Machine Learning for Logic Synthesis |
| Mr. Divyansh Choudhary | Designing Deep Reinforced Learning Architecture on FPGAs |
| Mr. M. Anish Sri Chandra & Mr. Kovidh Vengala | Sampling and Clustering of Whole Genome Sequences |
| Mr. Gudesa Venkata Sai Akhil | Machine Learning Approach to Short Answer Grading |
| Mr. Amey Kiran Patel | Punctuation Insertion using Automatic Speech Recognition |
| Mr. Ashutosh Bang & Mr. Kumar Abhinav | Improving the Efficiency of Large Scale Optimal Control Problems |
| Ms. Dhaarna Maheshwari | Parallel FPGA routing using Lagrange Heuristics |
| Mr. Vamsi Bulusu | Estimation of Electricity Production from Photovoltaic Panel |
| Mr. Aditya Jain | Distributed Multi-Agent Reinforcement Learning on Air Traffic Flow Management |
| Mr. Aniket Tiwari | Thermal Management Methodology for Heterogeneous System |
| Ms. Apoorva Joshi | Preconditioner Updates In AIRGA Algorithm |
| Mr. Mohit Mohata, Mr. Ankit Gaur, & Mr. Suryaveer Singh | Sampling & Clustering of Phenotypic - Genotypic Soybean Dataset |
| Mr. Dhruv Chadha & Mr. Shashwat Raghuvanshi | Platform To Explore Algorithms In Reinforcement Learning |
| Mr. Harshit Jain & Mr. Guduru Sai Teja | Data Backup Network Formation with Heterogeneous Agents |
| Mr. Vishal Nemade | Scalable Kernel Graph PCA Clustering Algorithm for Handling Big Data using Apache Spark |
| Mr. Ramesh Balaji & Mr. K. Sudharsan | Localized Multiple Kernel Learing for Anomaly Detection |
| Ms. Parinita Dudhagundi, Mr. Avnish Bhagwate, & Mr. Amey Ambade | Object Detection in Real-Time Systems using Convolutional Neural Networks with Deep Learning |
| Mr. Dhruva Ahuja & Mr. Pravin Kumar | Efficient Algebra for Extreme Learning Machines |
| Mr. Aditya Shah, Mr. Aishwary Gagrani, and Mr. Anant Lal | Spectral Clustering based on Growing Vector Quantization for Plant Genome Sequence |
| Ms. Juniper Gujral | Convex Optimization for Big Data |
| Ms. Sreemathi B. & Ms. Rohini Naik | Randomized Algorithms for Information Retrieval |
| Mr. Nitish Bharti & Mr. Amey Nagapurkar | Sentiment Analysis |
| Mr. Vishwas Jain | Randomized Algorithms for Big Data |
| Ms. Hina Arora | Newton Homotopy for Complementarity Problems |
| Mr. Abhinav Jain & Mr. Sarthak Jagetiya | Blocking Adult Content using Quantum Neural Networks |
| Mr. Mohit Goyal | Message Categorization through Data Mining |
| Mr. Gaurav Agrawal | Randomized Numerical Linear Algebra |