Ajinkya Kulkarni Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
John Brown University
faculty
ajinkya.kulkarni@mpinat.mpg.de
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Dr. Ajinkya Kulkarni's research spans a diverse set of topics, from the environmental science of methane hydrates to the computational aspects of speech recognition and natural language processing. At John Brown University, Kulkarni applies techniques from microbial community ecology and physiology to the study of anaerobically methane-oxidizing archaea in diverse sediment environments. He also works in the realm of machine learning, with recent publications detailing deep learning tools for identifying therapeutic effects in cancer organoid co-cultures, benchmarks for speech emotion recognition models, and improvements in multispeaker text-to-speech synthesis. His work includes the creation and curation of cell life imaging datasets, coupled with pre-trained AI models.
Dr. Kulkarni's primary research interests lie in interdisciplinary applications of computational methods to both biological and engineering problems.
Metrics
- h-index: 14
- Publications: 132
- Citations: 850
Selected Publications
- Training convolutional neural networks with the Forward–Forward Algorithm (2025) DOI
- Children's Voice Privacy: First Steps and Emerging Challenges (2025) DOI
- kNN Retrieval for Simple and Effective Zero-Shot Multi-speaker Text-to-Speech (2025) DOI
- Unsupervised Rhythm and Voice Conversion of Dysarthric to Healthy Speech for ASR (2025) DOI
- Exploring generalization to unseen audio data for spoofing: insights from SSL models (2024) DOI
- What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark (2024) DOI
- A Curated Cell Life Imaging Dataset of Immune-enriched Pancreatic Cancer Organoids with Pre-trained AI Models (2024) DOI
- Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems (2024) DOI
- Factorizing Gender Bias in Automatic Speech Recognition for Mexican Spanish (2024)
- OrganoIDNet: a deep learning tool for identification of therapeutic effects in PDAC organoid-PBMC co-cultures from time-resolved imaging data (2024) DOI
- Suppression of Thermo-acoustic Instability inside a Rijke Tube using an Adaptive Passive Helmholtz Resonator (2024) DOI
- Physiological versatility of ANME-1 and Bathyarchaeotoa-8 archaea evidenced by inverse stable isotope labeling (2024) DOI
- ClarTTS Corpus (2024) DOI
- ClarTTS Corpus (2024) DOI
- Label-free quantification of imaging features in the extracellular matrix of left and right-sided colon cancer tissues (2024) DOI
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