PIRI-BB
Behavioural Biometrics & Trustworthy Identity
Continuous multimodal authentication, gait, keystroke and sensor fusion, with privacy-preserving enrolment and quantum-resistant zero-trust architectures.
Hokuto, Yamanashi · Independent institute
A highland institute for computer science.
Prabhu International Research Institute (PIRI) is an independent centre for privacy-preserving AI, behavioural biometrics, assistive intelligence, and reliable machine learning. From Hokuto we publish, convene peer-reviewed conferences, partner with universities, and pursue niche programmes that Japanese local government and international funders can recognise.
2
Founding research scientists (PhD, Computer Science)
5+10
Active divisions and laboratories in formation
2
Peer-reviewed journals in formation
1
Flagship conference (2027)
Mandate
A regional institute built to international review standards.
PIRI is not a Tokyo satellite and not a tourism brand. It is a scholarly organisation: papers, data, peer review, and grants. The Yatsugatake setting is a research advantage — quiet, distinctive, and fundable as a place-based international centre.
Evidence first
Claims are tied to ORCID, DOI, review records, and experimental protocol.
Privacy by construction
Synthetic data, federated learning, and empirical privacy sit at the core, not as an appendix.
International and local
Japanese and English. University memoranda. Return to Hokuto and Yamanashi.
Fair scholarly publishing
Transparent peer review, Crossref DOIs, ORCID, and staged indexing.
Research
Go deep on niches, at international standard.
Grants and university partnerships do not come from being a general AI shop. PIRI’s five divisions sit at the intersection of the founders’ peer-reviewed record and the digital-health needs of Yamanashi.
PIRI-SD
Synthetic Data, Federated Learning & Privacy
High-fidelity synthetic datasets, federated multimodal attention, and empirical privacy assurance for health, robotics, and identity research.
PIRI-AH
Assistive Intelligence & Regional Digital Health
AI for aging societies, gait-based health-risk detection, EHR-focused diagnostic models, and assistive navigation — aligned with Hokuto and Yamanashi social needs.
PIRI-ML
Reliable Machine Learning & Meta-Recommendation
Leakage-safe algorithm recommendation, shift-aware evaluation, selective abstention, and hardware-aware model selection for tabular and multimodal tasks.
PIRI-SC
Scholarly Communication, Journals & Conferences
Peer-reviewed open journals, international conference series hosted in Yamanashi, library/repository services, and indexing-ready publishing infrastructure.
Founding
Founders & Research Scientists
Both founders hold PhDs in Computer Science and publish in IEEE Access, AIP Conference Proceedings, Springer, and IEEE ICMI. Publications are public on ORCID.
PN
Prabhu Natarajan
Founder and Research Scientist
PhD in Computer Science
Privacy-preserving multimodal behavioural biometrics, continuous authentication, synthetic data, and trustworthy AI for identity systems.
SKN
Sathish Kumar Natarajan
Founder and Research Scientist
PhD in Computer Science
Algorithm recommendation, synthetic data for privacy, gait and behavioural biometrics, assistive AI, and empirical methods for reliable machine learning.
Record
Peer-reviewed publications
Titles and DOIs follow public ORCID and Crossref records. PIRI / Yamanashi already appears as affiliation and funder on indexed work.
Read more →2025 · IEEE Access
Advancing Multi-Modal Behavioral Biometric Authentication: A Deep Learning Approach With Synthetic Data Generation
Sathish Kumar Natarajan, Azween Abdullah, Sukhminder Kaur, Prabhu Natarajan
doi:10.1109/ACCESS.2025.36229602026 · AIP Conference Proceedings (ICONEST 2024)
Advancing artificial intelligence in cognitive load and motor intention prediction: The development of PrabhuAI stressmodel for accurate prediction
Prabhu Natarajan, Azween Abdullah, Sukhminder Kaur, Valliappan Raju, Sathish Kumar Natarajan
doi:10.1063/5.03086692026 · AIP Conference Proceedings (ICONEST 2024)
Developing an artificial intelligence powered dynamic gait biometrics model for health risk detection and biometric identification using 3D motion data analysis
Sathish Kumar Natarajan, Azween Abdullah, Sukhminder Kaur, Valliappan Raju, Prabhu Natarajan
doi:10.1063/5.03086672026 · AIP Conference Proceedings (ICONEST 2024)
Development and evaluation of a synthetic AI model for generating high-fidelity synthetic datasets
Sathish Kumar Natarajan, Azween Abdullah, Sukhminder Kaur, Valliappan Raju, Prabhu Natarajan
doi:10.1063/5.03086722026 · Lecture Notes in Networks and Systems — ICAIN 2025, Dubai (Springer)
Creation of the AI Behavior Biometrics Gait Model: Synthetic Data Augmented to a Secure Authentication
Sathish Kumar Natarajan, Azween Abdullah, Prabhu Natarajan
doi:10.1007/978-3-032-23219-9_31
Meetings
Conferences and the Yatsugatake symposium
PIRI-TIS 2027 and the annual Yatsugatake symposium from 2026. Hosting international meetings in a regional city is itself a grant and partnership argument.
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Publishing
Peer-reviewed journals
PIRI Transactions and the assistive-health journal will be peer-reviewed on OJS. WordPress remains the institute site; scholarly publishing lives at journals.piri.or.jp.
Read morePIRI
8240-7064 Oizumi-cho Nishiide, Hokuto, Yamanashi 409-1501, Japan