Cognition Lab
Cognition Lab
COGNITION LAB
Cognition Research Group (CRG)
Department of CSE,
School of Engineering,
Shiv Nadar University Chennai.
Heterogenous Accelerators for HPC
Cognitive Reinforcement Learning
Distributed Systems
Medical Image Processing
Others
Heterogenous Accelerators for HPC
Our research in Heterogeneous Explainable Algorithms and Architectures focuses on developing innovative computational frameworks that are not only powerful and efficient but also transparent and interpretable. By bridging the gap between cutting-edge technologies and their practical explainability, we aim to make advanced computing accessible and understandable, paving the way for significant advancements across various fields.
In our research on Sports Cognition, we utilize artificial intelligence (AI) to enhance athletic performance and refine training methodologies. We focus on building cognitive models that illuminate the underlying mental processes influencing athletes’ decision-making, performance trends, and injury prevention strategies. Our work aims to bridge the gap between cognitive science and athletic training, providing innovative solutions that optimize both performance and athlete development through a deep understanding of cognitive dynamics in sports.
In the domain of Genomic Engineering, we leverage heterogeneous explainable algorithms to revolutionize how we understand and interact with genetic materials. Our work encompasses the development of computational models that aid in predicting gene editing outcomes, understanding genetic diseases, and facilitating personalized medicine, all while ensuring that these complex processes are explainable to researchers and clinicians alike.
In Quantum Computing, our focus is on harnessing the principles of quantum mechanics to develop algorithms that far exceed the capabilities of classical computing architectures. Our work includes creating explainable quantum algorithms that can tackle complex problems in cryptography, material science, and beyond, making the enigmatic world of quantum computing more accessible to researchers and practitioners.
Our High-Performance Computing research is dedicated to advancing the capabilities of computational systems to handle large-scale, complex calculations and data-intensive applications. By developing algorithms and architectures that optimize performance, we aim to address challenges in various scientific, engineering, and data analysis fields, ensuring these high-powered computing solutions are both efficient and explainable.
Cognitive Reinforcement Learning
In Cognitive Reinforcement Learning, our lab explores the intersection of artificial intelligence and cognitive science to develop learning algorithms that mimic human learning processes. This research aims to create AI systems capable of complex decision-making and problem-solving, inspired by cognitive strategies and adaptive learning. By understanding and replicating cognitive mechanisms, we strive to advance AI towards more natural, human-like intelligence.
Distributed Systems
Our research in Distributed Systems focuses on designing and analyzing systems that operate across multiple computational nodes or environments. This includes developing algorithms for efficient data distribution, processing, and communication in decentralized networks, ensuring scalability, fault tolerance, and security. Our work aims to pave the way for robust, distributed computing frameworks that support the next generation of internet and cloud-based applications.
Medical Image Processing
In our Medical Image Processing research, we are at the forefront of transforming healthcare diagnostics and treatments through advanced computational techniques. Our team is dedicated to developing algorithms that enhance the clarity, accuracy, and interpretability of medical images, such as MRIs, CT scans, and X-rays. By leveraging cutting-edge machine learning and image analysis technologies, we aim to unlock deeper insights from medical imagery, facilitating early diagnosis, precise monitoring, and tailored treatment plans.
Others
- Genome Informatics
- Geometric Learning
- Environmental Monitoring
- Medical AI
- Quantum Computing
- Machine Learning Techniques
- Health Informatics
- Financial Modeling
- Fast Algorithms
- Machine Learning in Finance
Our research in Heterogeneous Explainable Algorithms and Architectures focuses on developing innovative computational frameworks that are not only powerful and efficient but also transparent and interpretable. By bridging the gap between cutting-edge technologies and their practical explainability, we aim to make advanced computing accessible and understandable, paving the way for significant advancements across various fields.
In our research on Sports Cognition, we utilize artificial intelligence (AI) to enhance athletic performance and refine training methodologies. We focus on building cognitive models that illuminate the underlying mental processes influencing athletes’ decision-making, performance trends, and injury prevention strategies. Our work aims to bridge the gap between cognitive science and athletic training, providing innovative solutions that optimize both performance and athlete development through a deep understanding of cognitive dynamics in sports.
In the domain of Genomic Engineering, we leverage heterogeneous explainable algorithms to revolutionize how we understand and interact with genetic materials. Our work encompasses the development of computational models that aid in predicting gene editing outcomes, understanding genetic diseases, and facilitating personalized medicine, all while ensuring that these complex processes are explainable to researchers and clinicians alike.
In Quantum Computing, our focus is on harnessing the principles of quantum mechanics to develop algorithms that far exceed the capabilities of classical computing architectures. Our work includes creating explainable quantum algorithms that can tackle complex problems in cryptography, material science, and beyond, making the enigmatic world of quantum computing more accessible to researchers and practitioners.
Our High-Performance Computing research is dedicated to advancing the capabilities of computational systems to handle large-scale, complex calculations and data-intensive applications. By developing algorithms and architectures that optimize performance, we aim to address challenges in various scientific, engineering, and data analysis fields, ensuring these high-powered computing solutions are both efficient and explainable.
In Cognitive Reinforcement Learning, our lab explores the intersection of artificial intelligence and cognitive science to develop learning algorithms that mimic human learning processes. This research aims to create AI systems capable of complex decision-making and problem-solving, inspired by cognitive strategies and adaptive learning. By understanding and replicating cognitive mechanisms, we strive to advance AI towards more natural, human-like intelligence.
Our research in Distributed Systems focuses on designing and analyzing systems that operate across multiple computational nodes or environments. This includes developing algorithms for efficient data distribution, processing, and communication in decentralized networks, ensuring scalability, fault tolerance, and security. Our work aims to pave the way for robust, distributed computing frameworks that support the next generation of internet and cloud-based applications.
In our Medical Image Processing research, we are at the forefront of transforming healthcare diagnostics and treatments through advanced computational techniques. Our team is dedicated to developing algorithms that enhance the clarity, accuracy, and interpretability of medical images, such as MRIs, CT scans, and X-rays. By leveraging cutting-edge machine learning and image analysis technologies, we aim to unlock deeper insights from medical imagery, facilitating early diagnosis, precise monitoring, and tailored treatment plans.
- Genome Informatics
- Geometric Learning
- Environmental Monitoring
- Medical AI
- Quantum Computing
- Machine Learning Techniques
- Health Informatics
- Financial Modeling
- Fast Algorithms
- Machine Learning in Finance
GROUP HEAD
“A Product of Risk Estimation in Neurocognitive Disorders, Enabled with Radiogenomics and Digitized Neurocognitive Test Batteries (Development of Imaging Analytics Pipeline for Oncological Medical Images)”
2022-2024
(Collaboration with VTU, HCG Cancer Care)
INR 15,00,000.
Risk assessment of stroke in children using radiological data, CFD and Machine-learning (Moya Moya Disease Investigations
2023-2024
(Collaboration with IITM, Sree Chithira Thirunal Institute of Medical Science and Technology Govt of India)
INR 10,00,000.
PH.D STUDENTS
| STUDENT NAME | SUPERVISOR | AREA OF RESEARCH | YEAR OF ADMISSION |
|---|---|---|---|
| Balaji Gurumurthy | Dr. Santhi Natarajan | Algorithms And Architectures For Cyber Physical Systems | Spring 2022 (March) |
| Amudha Jeba Princy | Dr. Sundharakumar KB | Multi Agent Reinforcement Learning For Informed Network Optimization | Spring 2022 (March) |
| NA Mohan Rajkumar | Dr. Sundharakumar KB | Intent Based Networking | Fall 2022 (July) |
| P. Madhankumar | Dr. Santhi Natarajan | Cognitive Architectures And Algorithms: Design Space Exploration | Spring 2023 (January) |
| Cherisha Ronney Cheriyan | Dr. Santhi Natarajan | Heterogenous Explainable Algorithms And Architectures | Fall 2023 (July) |
| Shyam Sundar S | Dr. Santhi Natarajan | Heterogenous Explainable Algorithms And Architectures | Fall 2023 (July) |
| Sharmiladevi J | Dr. Santhi Natarajan | Heterogenous Explainable Algorithms And Architectures | Spring 2024 (January) |
| S. Gireesh | Dr. Sundharakumar KB | Fine tuning Large Language Models. | Spring 2024 (January) |
MTECH STUDENTS
| STUDENT NAME | SUPERVISOR | AREA OF RESEARCH | YEAR OF ADMISSION |
|---|---|---|---|
| Sadanand Venkataraman | Dr. Santhi Natarajan | Sports Cognition | M.Tech 2023 |
| Hari Priya S | Dr. Santhi Natarajan | Quantum Computing | M.Tech 2023 |
BTECH STUDENTS
| STUDENT NAME | SUPERVISOR | AREA OF RESEARCH | YEAR OF ADMISSION |
|---|---|---|---|
| Muthu Palaniappan M | Dr. Santhi Natarajan | Geometric Deep Learning Architecture and Algorithms | B.Tech 2021 |
UNDERGRAD RESEARCH PROJECTS UNDER STIRS (Year 2022)
| STUDENT NAME | SUPERVISOR | AREA OF RESEARCH | FUND AMOUNT |
|---|---|---|---|
| S. Harshitha | Dr. Sundharakumar KB | C.A.M.O.T (Conservation And Maintenance Of Trees) | INR 10,000 |
| Abdullah Sheriff | Dr. Santhi Natarajan | Intelligent Digital Farming | INR 12,333 |
| B. Vishal | Dr. Sundharakumar KB | The Pi Cluster | INR 11,600 |
| Vishwa Kumaresh | Dr. Sundharakumar KB | Entertainment Recommendation System | INR 13,500 |
| E. Gabriel Tomar | Dr. Sundharakumar KB | Intellirobo Trader | INR 15,000 |
| P. Akshan | Dr. Sathyanarayanan S | Dynamic Process Scheduling | INR 8,800 |
| Sudhiksha K | Dr. Santhi Natarajan | HoloHash | INR 18,000 |
| N. Raghav Muthu Palaniappan | Dr. Santhi Natarajan | My Mind: Cognitive Digital Twin | INR 18,500 |
| Prathosh V Rathna Sabapathi Rohit R | Dr. Sundharakumar KB | Touchless Authentication Using IRIS Biometrics | INR 14,300 |
| Akshay B Adhiban K Shreya R Srinivasan | Dr. Sundharakumar KB | AI CHATBOT | INR 10,000 |
PUBLICATIONS
Area of Research:
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TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Decoding the psyche: Engineering psychological profiles in football through yoda analysis Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan ISEA 2024 @ Loughborough University, UK Sports Cognition Jul-24 Beyond Convex Settings: Can PSO Propel UAVs through 3D Negative Obstacles? Muthu Palaniappan M, Dhivya S, Dr.Sundharakumar K B, Shrinidhi Suresha, Dr, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Distributed Systems Apr-24 YUVA-SQ: A Cognitive Scouting Model for The Beautiful Game Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan Society for Brain Mapping and Theraputics @ LA, CA, USA Sports Cognition Mar-24 MOYAGEN3D: Geometric Deep Learning Model of Internal Carotid Artery towards understanding pathogenesis of Moya Moya Angiopathy Muthu Palaniappan, Madhumitha V, Santhi Natarajan, Sundharakumar KB, Ram Kishan Nekkanti, Manjunath N, Sanjay HM, Sudhir Jayanand, Prasad Patnaik BSV Society for Brain Mapping and Theraputics @ LA, CA, USA Geometric Learning Mar-24 Irregular Computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators Cherisha Ronney Cheriyan, Madhankumar P, Shyam Sundar S, Haripriya N, Kandappan V A, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Genome Informatics Mar-24 An In-depth analysis of Varthur lake water quality dynamics Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 Anomaly detection analysis for water quality data: A case study of Varthur lake, Bangaluru, India Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 Beyond the pixels: Elevating sports analysis via AIexplainability in semantic segmentation Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan Nvidia GTC 2024 @ San Jose, CA Sports Cognition Mar-24 Yuva-SQ: A Cognitive Scouting Model for The Beautiful Game Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Sports Cognition Mar-24 Optimizing semantic segmentation for enhanced football analytics: A pixel-level approach Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan ICMLDE 2023 Sports Cognition Nov-23 Yuva-SQ: Scouting intelligent minds for the beautiful game Sadanand Venkataraman; Bharathi Malakreddy A; Santhi Natarajan CMSAC 2023 @ Carnigie Mellon University, PA Sports Cognition Nov-23 URVoice: An Akl-Toussaint/ Graham-Sklansky Optimization for Sign Language Interpretation Madhumitha V, Santhi Natarajan, Bharathi Malakreddy A 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) Geometric Learning Oct-23 Recent advances in semantic segmentation for sports analytics Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Srinivas Padmanabhuni Springer Nature; ICT Infrastructure and Computing Sports Cognition Aug-23 SENSE3D: A Novel Optimality Sensing Algorithm to Characterize Internal Carotid Artery in Moya Moya Disease Madhumitha V, Santhi Natarajan, B Jayanand Sudhir, Sanjay H M and Manjunath N Conf AI Medical AI Dec-22 Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge Hyperparameters Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A IEEE 2021 International Conference on Machine Learning and Applications, California, USA High Performance Computing Dec-21 Deep Learning Techniques for Brain Tumor Diagnosis: A Review Aswathy Santhosh, Saranya T, Sumod Sundar and Santhi Natarajan The Fourth International Conference on Microelectronics, Signals and Systems 2021 (ICMSS’21), India Medical Image Processing Nov-21 DIIT: A General Model for Time Series Projections, Proven on NIFTY Index Funds Rtwick George Moses, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A The Fourth International Conference on Microelectronics, Signals and Systems 2021 (ICMSS’21), India Financial Modeling Nov-21 SparseMAX: Accelerating Quantum Neural Networks on GPU Clusters using Sparse-Matrix Kernels Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXI), SAMOS, Greece Quantum Computing Jul-21 Evolutionary Quantum Transition (EQUATe): A Novel Solution to Optimization Problems Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A IEEE ICEPE March 2021, NIT Meghalaya, India Quantum Computing Mar-21 Unveiling the Mental Game: Leveraging YODA Psychometry in Football Performance Analysis Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan Mathsport 17 @ La Trobe University, Australia Sports Cognition Jul-24 Beyond Convex Settings: Can PSO Propel UAVs through 3D Negative Obstacles? Muthu Palaniappan M, Dhivya S, Dr.Sundharakumar K B, Shrinidhi Suresha, Dr, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Distributed Systems Apr-24 MOYAGEN3D: Geometric Deep Learning Model of Internal Carotid Artery towards understanding pathogenesis of Moya Moya Angiopathy Muthu Palaniappan, Madhumitha V, Santhi Natarajan, Sundharakumar KB, Ram Kishan Nekkanti, Manjunath N, Sanjay HM, Sudhir Jayanand, Prasad Patnaik BSV Society for Brain Mapping and Theraputics @ LA, CA, USA Geometric Learning Mar-24 Irregular Computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators Cherisha Ronney Cheriyan, Madhankumar P, Shyam Sundar S, Haripriya N, Kandappan V A, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Genome Informatics Mar-24 An In-depth analysis of Varthur lake water quality dynamics Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 Anomaly detection analysis for water quality data: A case study of Varthur lake, Bangaluru, India Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 Optimizing semantic segmentation for enhanced football analytics: A pixel-level approach Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan ICMLDE 2023 Sports Cognition Nov-23 Yuva-SQ: Scouting intelligent minds for the beautiful game Sadanand Venkataraman; Bharathi Malakreddy A; Santhi Natarajan CMSAC 2023 @ Carnigie Mellon University, PA Sports Cognition Nov-23 URVoice: An Akl-Toussaint/ Graham-Sklansky Optimization for Sign Language Interpretation Madhumitha V, Santhi Natarajan, Bharathi Malakreddy A 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) Geometric Learning Oct-23 Recent advances in semantic segmentation for sports analytics Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Srinivas Padmanabhuni Springer Nature; ICT Infrastructure and Computing Sports Cognition Aug-23 SENSE3D: A Novel Optimality Sensing Algorithm to Characterize Internal Carotid Artery in Moya Moya Disease Madhumitha V, Santhi Natarajan, B Jayanand Sudhir, Sanjay H M and Manjunath N Conf AI Medical AI Dec-22 Zero-Shot Learning For Text Classification: Extending Classifiability Beyond Conventional Techniques Muthu Palaniappan M; Vedhamani, Adithya; Sundharakumar, KB 2023 IEEE Region 10 Symposium (TENSYMP) Cognitive Reinforcement Learning 2023 Malware Classification using Deep Learning Methods Sundharakumar, KB; Bhalaji, N 2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Distributed Systems 2023 Attention U 2 N et: Cascaded UNets with Modified Skip Connection for Breast Tumor Segmentation Dhivya, S; Mohanavalli, S; Sundharakumar, KB; Thamarai, I Medical Image Processing 2023 Impact of Singing Bowl Playing on the Brain using EEG KB, Sundharakumar; N, Bhalaji; R, Rema; R, Srinivasan Cognitive Reinforcement Learning 2021 A Novel Hybrid RNN-ELM Architecture for Crime Classification Sundhara Kumar, KB; Bhalaji, N Second International Conference on Computer Networks and Communication Technologies: ICCNCT 2019 Distributed Systems 2020 BCI cinematics–A pre-release analyser for movies using H2O deep learning platform KB, Sundhara Kumar; Krishna, G; Bhalaji, N; Chithra, S Cognitive Reinforcement Learning 2019 Empirical study of feature selection methods over classification algorithms Bhalaji, Natarajan; Kumar, KB Sundhara; Selvaraj, Chithra Distributed Systems 2018 EEG based emotion recognition system for special children Bairavi, Krishna; Sundhara, KB Kumar Proceedings of the 2018 international conference on communication engineering and technology Medical Image Processing 2018 A performance comparison of document oriented NoSQL databases Kumar, KB Sundhara; Mohanavalli, S 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Distributed Systems 2017 Survey of pre-processing techniques for mining big data Hariharakrishnan, Jayaram; Mohanavalli, S; Kumar, KB Sundhara 2017 international conference on computer, communication and signal processing (ICCCSP) High Performance Computing 2017 IoT based health monitoring system for autistic patients Sundhara Kumar, KB; Bairavi, Krishna Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–16’) Medical Image Processing 2016 Smart Trends in Information Technology and Computer Communications Sundhara Kumar, KB; Senthil Kumar, V; Srividya, Mohanavalli Proceedings National Conference on Communication and Informatics-2016, Sri Venkateswara College of Engineering, Sriperumbudur Distributed Systems 2016 Cloud based fuzzy healthcare system Sundharakumar, KB; Dhivya, S; Mohanavalli, S; Chander, R Vinob Medical Image Processing 2015 Survey on Homomorphic Encryption Techniques Mohanavalli, S; Kumar, K.B.Sundhara; Srividya High Performance Computing 2015 Asynchronous Consensus in Synchronous Systems Using send_to_all Primitive Srinivasan, Sathyanarayanan; Kandukoori, Ramesh SN Computer Science Distributed Systems Oct-23 Solving consensus in true partial synchrony Srinivasan, Sathyanarayanan; Kandukoori, Ramesh IEEE Transactions on Parallel and Distributed Systems Distributed Systems Dec-22 A synod based deterministic and indulgent leader election protocol for asynchronous large groups Srinivasan, Sathyanarayanan; kandukoori, Ramesh International Journal of Parallel, Emergent and Distributed Systems Distributed Systems Feb-22 A Paxos based algorithm to minimize the overhead of process recovery in consensus Srinivasan, Sathyanarayanan; Kandukoori, Ramesh Acta Informatica Distributed Systems Apr-19 A hybrid population seeding technique based genetic algorithm for stochastic multiple depot vehicle routing problem Sathyanarayanan, S; Joseph, K Suresh; Jayakumar, SKV 2015 international conference on computing and communications technologies (ICCCT) Distributed Systems Feb-15 A survey on stochastic vehicle routing problem Sathyanarayanan, S; Joseph, K Suresh International Conference on Information Communication and Embedded Systems (ICICES2014) Distributed Systems Jan-14 Irregular Computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators Cherisha Ronney Cheriyan, Madhankumar P, Shyam Sundar S, Haripriya N, Kandappan V A, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Genome Informatics Mar-24 HODLRdD: A new black-box fast algorithm for N-body problems in d-dimensions with guaranteed error bounds: Applications to integral equations and support vector machines Khan, Ritesh; Kandappan, VA; Ambikasaran, Sivaram Journal of Computational Physics Fast Algorithms Jan-24 HODLR3D: Hierarchical matrices for $ N $-body problems in three dimensions Kandappan, VA; Gujjula, Vaishnavi; Ambikasaran, Sivaram Journal on Numerical Algorithms High Performance Computing Jan-24 HODLR2D: A new class of Hierarchical matrices Kandappan, VA; Gujjula, Vaishnavi; Ambikasaran, Sivaram SIAM Journal on Scientific Computing Fast Algorithms Apr-23 Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs Kandappan, VA; Rekha, AG SoCTA 2020, Volume 2 Machine Learning in Finance May-21 Optimizing semantic segmentation for enhanced football analytics: A pixel-level approach Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan Presented at ICMLDE 2023; In Press Sports Cognition Nov-23 Yuva-SQ: Scouting intelligent minds for the beautiful game Sadanand Venkataraman; Bharathi Malakreddy A; Santhi Natarajan Accepted to be Presented at CMSAC 2023 @ Carnigie Mellon University, PA Sports Cognition Nov-23 Recent advances in semantic segmentation for sports analytics Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Srinivas Padmanabhuni Springer Nature; ICT Infrastructure and Computing Sports Cognition Aug-23 Mental Health Disorder in IT Sector Employees using Machine Learning Models Padmasini C, Gavoury R, Hari Priya N 23rd International Conference on Intelligent Systems Design and Applications Quantum Computing Dec-23 Leveraging Quantum Optimization for Combinatorial Algorithms Hari Priya N 8th National Conference on Information and Communication Technologies (NCICT’23) - SSN Quantum Computing Mar-23 Distributed Deep Learning Systems - A comparative study on different DDL Frameworks Hari Priya N, Mahek R, Anusha Raman Internationl journal of Special Education Quantum Computing Nov-22 Quantum Advantages for Data Manipulation Hari Priya N, Mahek R International Conference on Communication, Computing and Information Technology - M.O.P. Vaishnav College for Women, Chennai Quantum Computing Feb-22 E-Commerce Business Platforms Challenges and the Way Ahead Hari Priya N, Ruksana M, Brinda Ramanujam Innovative Business Practices of E-Commerce in the Contemporary World 4.0 - Loyola College, Chennai Quantum Computing Feb-22 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Decoding the psyche: Engineering psychological profiles in football through yoda analysis Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan ISEA 2024 @ Loughborough University, UK Sports Cognition Jul-24 YUVA-SQ: A Cognitive Scouting Model for The Beautiful Game Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan Society for Brain Mapping and Theraputics @ LA, CA, USA Sports Cognition Mar-24 Beyond the pixels: Elevating sports analysis via AIexplainability in semantic segmentation Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan Nvidia GTC 2024 @ San Jose, CA Sports Cognition Mar-24 Yuva-SQ: A Cognitive Scouting Model for The Beautiful Game Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Sports Cognition Mar-24 Optimizing semantic segmentation for enhanced football analytics: A pixel-level approach Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan ICMLDE 2023 Sports Cognition Nov-23 Yuva-SQ: Scouting intelligent minds for the beautiful game Sadanand Venkataraman; Bharathi Malakreddy A; Santhi Natarajan CMSAC 2023 @ Carnigie Mellon University, PA Sports Cognition Nov-23 Recent advances in semantic segmentation for sports analytics Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Srinivas Padmanabhuni Springer Nature; ICT Infrastructure and Computing Sports Cognition Aug-23 Unveiling the Mental Game: Leveraging YODA Psychometry in Football Performance Analysis Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan Mathsport 17 @ La Trobe University, Australia Sports Cognition Jul-24 Optimizing semantic segmentation for enhanced football analytics: A pixel-level approach Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan ICMLDE 2023 Sports Cognition Nov-23 Yuva-SQ: Scouting intelligent minds for the beautiful game Sadanand Venkataraman; Bharathi Malakreddy A; Santhi Natarajan CMSAC 2023 @ Carnigie Mellon University, PA Sports Cognition Nov-23 Recent advances in semantic segmentation for sports analytics Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Srinivas Padmanabhuni Springer Nature; ICT Infrastructure and Computing Sports Cognition Aug-23 Optimizing semantic segmentation for enhanced football analytics: A pixel-level approach Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan Presented at ICMLDE 2023; In Press Sports Cognition Nov-23 Yuva-SQ: Scouting intelligent minds for the beautiful game Sadanand Venkataraman; Bharathi Malakreddy A; Santhi Natarajan Accepted to be Presented at CMSAC 2023 @ Carnigie Mellon University, PA Sports Cognition Nov-23 Recent advances in semantic segmentation for sports analytics Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Srinivas Padmanabhuni Springer Nature; ICT Infrastructure and Computing Sports Cognition Aug-23 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Beyond Convex Settings: Can PSO Propel UAVs through 3D Negative Obstacles? Muthu Palaniappan M, Dhivya S, Dr.Sundharakumar K B, Shrinidhi Suresha, Dr, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Distributed Systems Apr-24 Beyond Convex Settings: Can PSO Propel UAVs through 3D Negative Obstacles? Muthu Palaniappan M, Dhivya S, Dr.Sundharakumar K B, Shrinidhi Suresha, Dr, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Distributed Systems Apr-24 Malware Classification using Deep Learning Methods Sundharakumar, KB; Bhalaji, N 2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Distributed Systems 2023 A Novel Hybrid RNN-ELM Architecture for Crime Classification Sundhara Kumar, KB; Bhalaji, N Second International Conference on Computer Networks and Communication Technologies: ICCNCT 2019 Distributed Systems 2020 Empirical study of feature selection methods over classification algorithms Bhalaji, Natarajan; Kumar, KB Sundhara; Selvaraj, Chithra Distributed Systems 2018 A performance comparison of document oriented NoSQL databases Kumar, KB Sundhara; Mohanavalli, S 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Distributed Systems 2017 Smart Trends in Information Technology and Computer Communications Sundhara Kumar, KB; Senthil Kumar, V; Srividya, Mohanavalli Proceedings National Conference on Communication and Informatics-2016, Sri Venkateswara College of Engineering, Sriperumbudur Distributed Systems 2016 Asynchronous Consensus in Synchronous Systems Using send_to_all Primitive Srinivasan, Sathyanarayanan; Kandukoori, Ramesh SN Computer Science Distributed Systems Oct-23 Solving consensus in true partial synchrony Srinivasan, Sathyanarayanan; Kandukoori, Ramesh IEEE Transactions on Parallel and Distributed Systems Distributed Systems Dec-22 A synod based deterministic and indulgent leader election protocol for asynchronous large groups Srinivasan, Sathyanarayanan; kandukoori, Ramesh International Journal of Parallel, Emergent and Distributed Systems Distributed Systems Feb-22 A Paxos based algorithm to minimize the overhead of process recovery in consensus Srinivasan, Sathyanarayanan; Kandukoori, Ramesh Acta Informatica Distributed Systems Apr-19 A hybrid population seeding technique based genetic algorithm for stochastic multiple depot vehicle routing problem Sathyanarayanan, S; Joseph, K Suresh; Jayakumar, SKV 2015 international conference on computing and communications technologies (ICCCT) Distributed Systems Feb-15 A survey on stochastic vehicle routing problem Sathyanarayanan, S; Joseph, K Suresh International Conference on Information Communication and Embedded Systems (ICICES2014) Distributed Systems Jan-14 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE MOYAGEN3D: Geometric Deep Learning Model of Internal Carotid Artery towards understanding pathogenesis of Moya Moya Angiopathy Muthu Palaniappan, Madhumitha V, Santhi Natarajan, Sundharakumar KB, Ram Kishan Nekkanti, Manjunath N, Sanjay HM, Sudhir Jayanand, Prasad Patnaik BSV Society for Brain Mapping and Theraputics @ LA, CA, USA Geometric Learning Mar-24 URVoice: An Akl-Toussaint/ Graham-Sklansky Optimization for Sign Language Interpretation Madhumitha V, Santhi Natarajan, Bharathi Malakreddy A 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) Geometric Learning Oct-23 MOYAGEN3D: Geometric Deep Learning Model of Internal Carotid Artery towards understanding pathogenesis of Moya Moya Angiopathy Muthu Palaniappan, Madhumitha V, Santhi Natarajan, Sundharakumar KB, Ram Kishan Nekkanti, Manjunath N, Sanjay HM, Sudhir Jayanand, Prasad Patnaik BSV Society for Brain Mapping and Theraputics @ LA, CA, USA Geometric Learning Mar-24 URVoice: An Akl-Toussaint/ Graham-Sklansky Optimization for Sign Language Interpretation Madhumitha V, Santhi Natarajan, Bharathi Malakreddy A 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) Geometric Learning Oct-23 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Irregular Computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators Cherisha Ronney Cheriyan, Madhankumar P, Shyam Sundar S, Haripriya N, Kandappan V A, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Genome Informatics Mar-24 Irregular Computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators Cherisha Ronney Cheriyan, Madhankumar P, Shyam Sundar S, Haripriya N, Kandappan V A, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Genome Informatics Mar-24 Irregular Computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators Cherisha Ronney Cheriyan, Madhankumar P, Shyam Sundar S, Haripriya N, Kandappan V A, Santhi Natarajan ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Genome Informatics Mar-24 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE An In-depth analysis of Varthur lake water quality dynamics Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 Anomaly detection analysis for water quality data: A case study of Varthur lake, Bangaluru, India Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 An In-depth analysis of Varthur lake water quality dynamics Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 Anomaly detection analysis for water quality data: A case study of Varthur lake, Bangaluru, India Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala Environmental Monitoring Mar-24 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE SENSE3D: A Novel Optimality Sensing Algorithm to Characterize Internal Carotid Artery in Moya Moya Disease Madhumitha V, Santhi Natarajan, B Jayanand Sudhir, Sanjay H M and Manjunath N Conf AI Medical AI Dec-22 SENSE3D: A Novel Optimality Sensing Algorithm to Characterize Internal Carotid Artery in Moya Moya Disease Madhumitha V, Santhi Natarajan, B Jayanand Sudhir, Sanjay H M and Manjunath N Conf AI Medical AI Dec-22 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge Hyperparameters Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A IEEE 2021 International Conference on Machine Learning and Applications, California, USA High Performance Computing Dec-21 Survey of pre-processing techniques for mining big data Hariharakrishnan, Jayaram; Mohanavalli, S; Kumar, KB Sundhara 2017 international conference on computer, communication and signal processing (ICCCSP) High Performance Computing 2017 Survey on Homomorphic Encryption Techniques Mohanavalli, S; Kumar, K.B.Sundhara; Srividya High Performance Computing 2015 HODLR3D: Hierarchical matrices for $ N $-body problems in three dimensions Kandappan, VA; Gujjula, Vaishnavi; Ambikasaran, Sivaram Journal on Numerical Algorithms High Performance Computing Jan-24 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Deep Learning Techniques for Brain Tumor Diagnosis: A Review Aswathy Santhosh, Saranya T, Sumod Sundar and Santhi Natarajan The Fourth International Conference on Microelectronics, Signals and Systems 2021 (ICMSS’21), India Medical Image Processing Nov-21 Attention U 2 N et: Cascaded UNets with Modified Skip Connection for Breast Tumor Segmentation Dhivya, S; Mohanavalli, S; Sundharakumar, KB; Thamarai, I Medical Image Processing 2023 EEG based emotion recognition system for special children Bairavi, Krishna; Sundhara, KB Kumar Proceedings of the 2018 international conference on communication engineering and technology Medical Image Processing 2018 IoT based health monitoring system for autistic patients Sundhara Kumar, KB; Bairavi, Krishna Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC–16’) Medical Image Processing 2016 Cloud based fuzzy healthcare system Sundharakumar, KB; Dhivya, S; Mohanavalli, S; Chander, R Vinob Medical Image Processing 2015 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE DIIT: A General Model for Time Series Projections, Proven on NIFTY Index Funds Rtwick George Moses, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A The Fourth International Conference on Microelectronics, Signals and Systems 2021 (ICMSS’21), India Financial Modeling Nov-21 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE SparseMAX: Accelerating Quantum Neural Networks on GPU Clusters using Sparse-Matrix Kernels Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXI), SAMOS, Greece Quantum Computing Jul-21 Evolutionary Quantum Transition (EQUATe): A Novel Solution to Optimization Problems Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A IEEE ICEPE March 2021, NIT Meghalaya, India Quantum Computing Mar-21 Mental Health Disorder in IT Sector Employees using Machine Learning Models Padmasini C, Gavoury R, Hari Priya N 23rd International Conference on Intelligent Systems Design and Applications Quantum Computing Dec-23 Leveraging Quantum Optimization for Combinatorial Algorithms Hari Priya N 8th National Conference on Information and Communication Technologies (NCICT’23) - SSN Quantum Computing Mar-23 Distributed Deep Learning Systems - A comparative study on different DDL Frameworks Hari Priya N, Mahek R, Anusha Raman Internationl journal of Special Education Quantum Computing Nov-22 Quantum Advantages for Data Manipulation Hari Priya N, Mahek R International Conference on Communication, Computing and Information Technology - M.O.P. Vaishnav College for Women, Chennai Quantum Computing Feb-22 E-Commerce Business Platforms Challenges and the Way Ahead Hari Priya N, Ruksana M, Brinda Ramanujam Innovative Business Practices of E-Commerce in the Contemporary World 4.0 - Loyola College, Chennai Quantum Computing Feb-22 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Zero-Shot Learning For Text Classification: Extending Classifiability Beyond Conventional Techniques Muthu Palaniappan M; Vedhamani, Adithya; Sundharakumar, KB 2023 IEEE Region 10 Symposium (TENSYMP) Cognitive Reinforcement Learning 2023 Impact of Singing Bowl Playing on the Brain using EEG KB, Sundharakumar; N, Bhalaji; R, Rema; R, Srinivasan Cognitive Reinforcement Learning 2021 BCI cinematics–A pre-release analyser for movies using H2O deep learning platform KB, Sundhara Kumar; Krishna, G; Bhalaji, N; Chithra, S Cognitive Reinforcement Learning 2019 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE HODLRdD: A new black-box fast algorithm for N-body problems in d-dimensions with guaranteed error bounds: Applications to integral equations and support vector machines Khan, Ritesh; Kandappan, VA; Ambikasaran, Sivaram Journal of Computational Physics Fast Algorithms Jan-24 HODLR2D: A new class of Hierarchical matrices Kandappan, VA; Gujjula, Vaishnavi; Ambikasaran, Sivaram SIAM Journal on Scientific Computing Fast Algorithms Apr-23 -
TITLE AUTHORS CONFERENCE/JOURNAL AREA OF RESEARCH DATE Machine Learning in Finance: Towards Online Prediction of Loan Defaults Using Sequential Data with LSTMs Kandappan, VA; Rekha, AG SoCTA 2020, Volume 2 Machine Learning in Finance May-21
