Siddharth Kumar
Environmental Science · Purdue University West Lafayette
Publications
35
Citations
176
Est. group size
—
Recurring co-author estimate
Active years
17
Publishing since 2010
Siddharth Kumar's publication record spans a wide range of topics, including environmental monitoring (such as arsenic and heavy-metal contamination in water, and rainfall/temperature pattern analysis), machine learning applications (in healthcare, cybersecurity, disaster prediction, and language processing), and applied AI systems (chatbots, text-to-speech, navigation aids for the visually impaired). Much of the recent work uses machine learning and data-driven modeling as a common methodological thread across these varied application areas. Prospective students should note that the work crosses several disciplines rather than concentrating on a single specialized subfield.
Publication output has grown fairly steadily over the last decade, rising from occasional single papers in the late 2010s to a peak of about 9 in 2025, indicating an increasingly active and diversifying publication pace.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Enhancing Hindi OCR robustness with CRNN-ResNet50: a data augmentation approach on the devanagari dataset
Scientific Reports · 2026
- Polypropylene wiping cloths contaminated with <i>S. aureus</i> and <i>P. aeruginosa</i> transfer significantly less to uncontaminated surfaces compared to microfiber and cotton
Antimicrobial Stewardship & Healthcare Epidemiology · 2026
- Advancing Bangla text-to-speech synthesis using a VITS-based model with a custom dataset and comprehensive evaluation
Discover Computing · 2025
- Evaluating the Impact of Virtual Reality on Cognitive Recovery in Stroke Patients: A Comparative Single-centered Study in the Indian Context
Indian Journal of Physical Medicine and Rehabilitation · 2025
- Enhancing Mental Health Treatment Prediction Using BXGBoost: A Hybrid Machine Learning Approach
2025
- Co-DLGAX: A Hybrid Ensemble Framework for Emotion Detection via NLP-Driven Sentiment Analysis
2025
- Visioneer: AI Guided Navigation for the Visually Impaired
International Journal for Research in Applied Science and Engineering Technology · 2025
- Emerging Industrial Technologies: AI and Robotics
Studies in systems, decision and control · 2025
- Protezione: A Dual Model Architecture for Intrusion Detection System based on Deep Learning
2025
- Suraksha Setu: AI-IoT Platform for Inclusive Disaster Prediction and Response
2025
- Machine learning based prediction of I–V and transconductance curves for 3D multichannel junctionless FinFET
Indian Journal of Physics · 2024
- A Scalable Approach to Counter Reliability and Load Balancing in Mobile Wireless Sensor Networks
2024
- Classification of Arsenic in Groundwater Samples Using Extreme Learning Machine and Crow Search Algorithm for Smart Cities
Practice, progress, and proficiency in sustainability · 2024
- Health care chat bot system using machine learning
2024
- Ciagelp: Clustering Inspired Augmented Graph Embedding Based Link Prediction in Dynamic Networks
SSRN Electronic Journal · 2024
- Environmental Monitoring and Assessment×2
- Journal of Water and Climate Change×1
- Chaos Solitons & Fractals×1
- Journal of Water and Health×1
- Journal of Computational Science×1
- Shane D. Whitacre
Environmental Science · The Ohio State University
- Nadezhda N. Zyaykina
Environmental Science · Purdue University West Lafayette
- Nicholas T. Basta
Environmental Science · The Ohio State University
- Elizabeth A. Dayton
Environmental Science · The Ohio State University
- Jing Su
Environmental Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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