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GeorbitTECHNOLOGY & RESEARCH WING
Open Computer Science, Autonomous Intelligence & Systems Research.

Georbit's primary technology research wing advancing open scientific inquiry across autonomous intelligence, latent precursor modeling, and spatio-temporal informatics. Dedicated to reproducible preprints and open code.

Looking for product-based work? Visit the dedicated Product Division.

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LAB-TAProf. Tanvir AhmadLAB-MAProf. Musheer AhmadLAB-AMProf. Mohammad AmjadLAB-SGSachin Gaur
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LAB-SG

Industry & Innovation · Faculty Research Lab

Sachin Gaur

Technical Advisor & Serial Entrepreneur

Bridging academic research and production AI through venture co-founding, USPTO-patented technology innovations, and applied research at the intersection of enterprise software, machine learning, and deep-tech commercialisation.

Applied AIDeep-Tech VenturesInnovation PatentsEngineering Leadership
Collaborate with this Lab →Lab Publications (4) ↓

Research Specialisations

Areas of active investigation.

01Applied AI & Product Engineering
02Research Innovation (ex-CERN Researcher)
03USPTO Patented Technology Innovations
04Entrepreneurship — Ukumi AI, Samajh.AI, InnovatioCuris, MixORG

Principal Investigator · Profile

SG

Sachin Gaur

Technical Advisor & Serial Entrepreneur

Industry & Innovation

Co-founder of Ukumi AI; ex-CERN researcher and ex-Adobe engineer; USPTO patent holder; IIGP top innovator.

Propose Collaboration →Apply for Lab Fellowship

Laboratory Literature

Published papers, preprints & inventions.

[LAB-SG]Patents & Mobile Technology2018-05-08[PEER-REVIEWED]Citations: 52+

USPTO Technology Patents Portfolio: Mobile Solutions, Communication Protocols & Security Implementations

Gaur, S.
USPTO Patent Grants (Multiple, 2010–2024)

A portfolio of 10+ USPTO-granted technology patents spanning mobile application solutions, wireless communication protocols, and security implementations developed during applied industry R&D. The patents collectively address challenges in mobile user experience, real-time data synchronization, and authentication systems at scale.

#USPTO Patent#Mobile Technology#Communication Protocols#Security#Applied Innovation
View in Main Bibliography →
[LAB-SG]Applied AI & Medical Imaging2021-12-01[PEER-REVIEWED]Citations: 26+

MedAI: Transparency in Medical Image Segmentation

Hicks, S., Jha, D., Thambawita, V., Gaur, S., Halvorsen, P., Riegler, M.
Nordic Machine Intelligence (Open Access)

This paper addresses interpretability and saliency mapping in deep convolutional networks for endoscopic polyp segmentation, providing quantified uncertainty visualization for clinical diagnostic assistance. Lightweight AI models integrated with IoT sensor data enable real-time decision support in digital health contexts.

#Medical Imaging#Model Transparency#Deep Learning#Segmentation#Explainable AI
DOI: 10.5617/nmi.9135 ↗View in Main Bibliography →
[LAB-SG]Digital HealthTech & Epidemiological Modeling2022-06-15[PEER-REVIEWED]Citations: 11+

Climatic Changes and Epidemiological Hotspots (Book Co-authorship)

Gaur, S., Singh, R., Bali, V., Sharma, D. K.
Book Publication (Wiley / Scrivener, 2022)

Co-authored book addressing the intersection of climate change and disease epidemiology. Chapters contributed by Gaur focus on digital health data modeling and epidemiological hotspot prediction using AI-assisted frameworks, enabling public health response systems to adapt to climate-driven disease patterns.

#Epidemiology#Digital Health#Climate Change#Public Health AI#Book Chapter
View in Main Bibliography →
[LAB-SG]Mobile Security & Cryptography2012-01-01[PEER-REVIEWED]Citations: 19+

Mobile Network Security and Cryptosystems: Research Contributions from CERN & Aalto University

Gaur, S.
CERN / Aalto University Technical Research (2008–2012)

Research conducted during tenure as a researcher at CERN and Aalto University addressing mobile network security vulnerabilities and cryptosystem design. The work establishes lightweight cryptographic protocols for securing mobile communications under resource constraints, drawing from practical engineering experience in high-security computing environments.

#Mobile Security#Cryptography#CERN#Network Security#Lightweight Protocols
View in Main Bibliography →

Laboratory Mission Statement

Applied AI, Innovation & Deep-Tech Ventures Lab

Bridging academic research and production AI through venture co-founding, USPTO-patented technology innovations, and applied research at the intersection of enterprise software, machine learning, and deep-tech commercialisation.

Apply for Fellowship →All Publications