Dr. Santhi Natarajan is an Associate Professor with the Department of Computer Science and Engineering – Research, at Shiv Nadar University, Chennai. She has completed her doctoral and post-doctoral research tenure at the Indian Institute of Science. Her research has involved scientific, technical as well as commercially-relevant developments in the field of accelerated Supercomputing Platforms, Radiogenomics, Genome Informatics, AI enabled business analytics and machine learning. She has a strong expertise in the design and development of domain specific hardware accelerators for massively parallel multi-core coarse and fine-grained reconfigurable platforms.She has been an Industrial Consultant for start-ups, Public Sector and Private Sector organizations. Entrepreneur (ReneLife Pvt Limited)  She is a trained industry/academia leader and passionate result-oriented researcher, focused on interdisciplinary research and scientific principles, with significant focus on instantiating commercially viable strategies to accelerate product life cycle and optimization. She started off her career as a Scientist with the Indian Space Research Organization. She has worked in Network Sound Inc, California, a start up mentored by Stanford Universtiy, specialized in real time digital pro audio and control distribution solutions over Ethernet or Fiber for the pro audio market. Later, she worked in Infosys, where she has been a key contributor in embedded system design and product engineering in health care, video, industrial and communication verticals. During her PhD at IISc, she has assisted in founding ReneLife Pvt. Ltd. ReneLife (www.renelife.co.in): ReneLife is a technology start[1]up, launched in June 2016, as a faculty enterprise of the Indian Institute of Science, in the area of Life Sciences. Prior joining SNU, she has served as Associate Professor and lead academician in the Department of AI & ML, BMS Institute of Technology and Management, Bangalore, where she played a very pivotal role in establishing the department in July 2019. She has been a lead researcher in laying the foundation work for establishment of Centre of Excellence in AI & Data Analytics. She has also been the SME for the MTech Course in AI, Kerala Technological University.

Work Experience

21 years (ISRO, Network Sound Inc USA, Infosys, Academia) 

• Associate Professor and lead academician in the Department of AI & ML, BMS Institute of Technology and Management, Bangalore
• Played a pivotal role in establishing the department in July 2019
• Lead researcher in laying the foundation work for the establishment of the Centre of Excellence in AI & Data Analytics
• Subject Matter Expert (SME) for the MTech Course in AI, Kerala Technological University

Projects

1. A Product of Risk Estimation in Neurocognitive Disorders, Enabled with Radiogenomics and Digitized Neurocognitive Test Batteries, Funding amount: 20Lakhs, 2 years
2. DART funding for Risk assessment of stroke in children using radiological data, CFD and Machine-learning, Funding amount: 10Lakhs, 2 years

Publications

1. Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan,Decoding the psyche: Engineering psychological profiles in football through yoda analysis, Accepted to be Presented at ISEA 2024 @ Loughborough University, UK,Sports Cognition,2024 July
2. Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan,Decoding the psyche: Engineering psychological profiles in football through yoda analysis,Accepted to be Presented at ISEA 2024 @ Loughborough University, UK,Sports Cognition,2024 July
3. Muthu Palaniappan M, Dhivya S, Dr.Sundharakumar K B, Shrinidhi Suresha, Dr, Santhi Natarajan,Beyond Convex Settings: Can PSO Propel UAVs through 3D Negative Obstacles?,Accepted to present in ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala,,2024 April
4. Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan,YUVA-SQ: A Cognitive Scouting Model for The Beautiful Game,Society for Brain Mapping and Theraputics @ LA, CA, USA,Sports Cognition,2024 March
5. Cherisha Ronney Cheriyan, Madhankumar P, Shyam Sundar S, Haripriya N, Kandappan V A, Santhi Natarajan,Irregular Computing on Genomic Big Data: Design Space Exploration from Silicon Clusters to Quantum Accelerators,Accdepted to present in ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala,Genome Informatics,2024 March
6. Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A,An In-depth analysis of Varthur lake water quality dynamics,Accdepted to present in ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala,,2024 March
7. Pralhad P Teggi, Santhi Natarajan, Bharathi Malakreddy A,Anomaly detection analysis for water quality data: A case study of Varthur lake, Bangaluru, India,Accdepted to present in ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala,,2024 March
8. Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan,Beyond the pixels: Elevating sports analysis via AIexplainability in semantic segmentation,Accepted to be presented at Nvidia GTC 2024 @ San Jose, CA,Sports Cognition,2024 March
9. Sadanand Venkataraman; Sundharakumar KB; Bharathi Malakreddy A; Santhi Natarajan,YUVA-SQ: A Cognitive Scouting Model for The Beautiful Game,Accepted to present in ICITIIT24 @ Indian Institute of Information Technology Kottayam, Kerala,Sports Cognition,2024 March
10. Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Nidhi Srinivas Padmanabhuni; Santhi Natarajan,Optimizing semantic segmentation for enhanced football analytics: A pixel-level approach,Presented at ICMLDE 2023; In Press,Sports Cognition,2023 November
11. Sadanand Venkataraman; Bharathi Malakreddy A; Santhi Natarajan,Yuva-SQ: Scouting intelligent minds for the beautiful game,Accepted to be Presented at CMSAC 2023 @ Carnigie Mellon University, PA,Sports Cognition,2023 November
12. Madhumitha V, Santhi Natarajan, Bharathi Malakreddy A,URVoice: An Akl-Toussaint/ Graham-Sklansky Optimization for Sign Language Interpretation,2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI),Geometric Learning ,2023 October
13. Bharathi Malakreddy A, Sadanand Venkataraman; Mohammad Sinan Khan; Srinivas Padmanabhuni ,Recent advances in semantic segmentation for sports analytics,Springer Nature; ICT Infrastructure and Computing,Sports Cognition,2023 August
14. Madhumitha V, Santhi Natarajan, B Jayanand Sudhir, Sanjay H M and Manjunath N,SENSE3D: A Novel Optimality Sensing Algorithm to Characterize Internal Carotid Artery in Moya Moya Disease,Conf AI,Medical AI,2022 December
15. Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A,Pruned Genetic-NAS on GPU Accelerator Platforms with Chaos-on-Edge Hyperparameters,IEEE 2021 International Conference on Machine Learning and Applications, California, USA,,2021 December
16. Aswathy Santhosh, Saranya T, Sumod Sundar and Santhi Natarajan,Deep Learning Techniques for Brain Tumor Diagnosis: A Review,The Fourth International Conference on Microelectronics, Signals and Systems 2021 (ICMSS’21), India,,2021 November
17. Rtwick George Moses, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A,DIIT: A General Model for Time Series Projections, Proven on NIFTY Index Funds,The Fourth International Conference on Microelectronics, Signals and Systems 2021 (ICMSS’21), India,,2022 November
18. Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A,SparseMAX: Accelerating Quantum Neural Networks on GPU Clusters using Sparse-Matrix Kernels, International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXI), SAMOS, Greece,,2021 July
19. Anand Ravishankar, Dr. Santhi Natarajan and Dr. Bharathi Malakreddy A, Evolutionary Quantum Transition (EQUATe): A Novel Solution to Optimization Problems, IEEE ICEPE March 2021, NIT Meghalaya, India,,2021 March

Area of Research

• Accelerated Supercomputing Platforms
• Radiogenomics
• Genome Informatics
• AI-enabled business analytics
• Machine learning
• Design and development of domain-specific hardware accelerators
• Massively parallel multi-core coarse and fine-grained reconfigurable platforms