Dr. Sangeetha Rajesh

teaching & research

Teaching Interest: Artificial Intelligence, Machine Learning, Deep Learning, NLP, Business Intelligence, SQL & NOSQL Databases, Spreadsheet Modeling, Python & R for data science, Ethics & Governance in Data Science

Current Research: Artificial Intelligence, Agentic AI in Business, Human-AI interactions

consulting

publications

PATENT

• Multi modal Alzheimer's Disease Severity Detection and Music Therapy Recommendation System. (2024)
• AI Powered Multi Face Recognition and Attention Span Tracker. (2024)
• IoT- Enabled Expiry tracking device for Smart Sustainable Grocery Management. (2025)

JOURNAL PUBLICATIONS

• Optimizing Customer Profiling in the Automobile Parts Sector: Integrating RFM Analysis with Advanced Clustering Techniques. Computing and Machine Learning, Lecture Notes in Networks and Systems, vol 1612, 2026. Springer. [Scopus]
• Deep Autoencoder-based Framework for Robust Singer Identification in Music Analysis. Association for Computing Machinery (ACM), 137–144, 2025. [Scopus]
• Instrument Emotion Recognition from Polyphonic Instrumental Music using MFCC and CENS Features with Deep Neural Networks, Procedia Computer Science 235, 2548-2556, 2024. [Scopus]
• Polyphonic Instrument Emotion Recognition using Stacked Auto Encoders: A Dimensionality Reduction Approach, Procedia Computer Science, Elsevier, Volume 218, pp.1905-1914, 2023. [Scopus]
• Predicting Stack Overflow Tag: A Deep Learning Approach, IEEE Xplore, pp.64-68, 2023. [Scopus]
• Machine Learning Prediction Techniques for Heart Disease Prediction”, IEEE Xplore, pp.39-43, 2023. [Scopus]
• (2023) Alzheimer prediction using machine learning algorithm, IEEE Xplore, pp. 28-33. [Scopus]
• Recognition of Musical Instrument Using Deep Learning Techniques, International Journal of Information Retrieval Research, Vol. 11(4), 2021. [WoS]
• Combined evidence of MFCC and CRP features using machine learning techniques for singer identification, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 35(1), 2158001, 2021. [Scopus & WoS]
• Singer Identification using MFCC and CRP with Support Vector Machines, Springer Advances in Intelligent Systems and Computing, Computational intelligence in pattern recognition, Vol 999, pp.295-306, 2019. [Scopus]
• Box office Prediction using Predictive Analytics, Indian Journal of Economics and Businesses, 2019. [Scopus & ABDC].
• Vehicle Identification using Support Vector Machines, Journal of Engineering, pp. 18-21,2019.
• Pervasive Traffic Management using OBDUINO and Cloud Server, Journal of Computer Engineering, pp. 50-55, 2018.
• IOT In Home Grocery Management, Journal of Computer Engineering, pp. 44-49, 2018.
• Automatic Vegetable Detection and Recipe Suggestion, Journal of Computer Engineering, pp. 78-85, 2018.
• Fuzzy logic system in Tomato Farming, Journal of Computer Engineering, pp. 56-62, 2018.
• Ubiquitous Aquarium Management System, Journal of Computer Engineering, 2017.
• Analysis of Security in Cloud-Learning Systems, International Journal of Scientific Research in Computer Science and Engineering, 5(1), 2017.
• Ubiquitous energy efficient aquaculture management system. IEEE Xplore, pp.1124-1128, 2016. [Scopus]
• UI design for Language Translator Module in Swasthya slate (m-Health tool), IEEE Xplore, pp. 1340-1344, 2015. [Scopus]

Conference Presentations

• From Anticipation to Sustainability: AI based Predictive Resilience in Climate Disrupted Supply Chains, Leveraging Emerging Technologies and Analytics for Development (LEAD)-2025, IIM Shillong.
• Optimizing Customer Profiling in the Automobile Parts Sector: Integrating RFM Analysis with Advanced Clustering Techniques, 2nd International Conference on Computing and Machine Learning (CML 2025), Sikkim Manipal University, India.
• Instrument Emotion Recognition from Polyphonic Instrumental Music using MFCC and CENS Features with Deep Neural Networks, International Conference on Information Technology: IoT and Smart City,2024, University of Malaya, Kuala Lumpur, Malaysia.
• Instrument emotion recognition from polyphonic instrumental music using MFCC and CENS features with Dee Neural Networks, International Conference on Machine Learning and Data Engineering, ICMLDE 2023, UPES, Dehradun
• Predicting Stack Overflow Tag: A Deep Learning Approach, IEEE 9th Somaiya International Conference on Technology and Information Management, 2023, K J Somaiya Institute of Management, Somaiya Vidyavihar University, Mumbai.
• Polyphonic Instrument Emotion Recognition using Stacked Auto Encoders: A Dimensionality Reduction Approach, International Conference on Machine Learning and Data Engineering, ICMLDE 2022, UPES, Dehradun.
• A Comparative Analysis of Deep Learning Techniques for Sentiment Identification from Reviews and Tweets, Somaiya International Conference on Technology and Information Management 2020, Mumbai.
• Singer Identification using CNN-LSTM, Somaiya International Conference on Technology and Information 2020, Mumbai.
• Singer Identification using MFCC and CRP with Support Vector Machines in the international conference on Computational Intelligence and Pattern Recognition, CIPR 2019, Indian Institute of Engineering Science and Technology, Kolkata.

certifications

awards & honors