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Profil bibliographique

Aruna Balasubramanian

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

108Publications signalées
7553Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Caching and Content DeliveryGreen IT and SustainabilityOpportunistic and Delay-Tolerant NetworksMobile Ad Hoc NetworksInteractive and Immersive Displays

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand

Dana Golden, Aruna Balasubramanian, Niranjan Balasubramanian

Data centers now account for 4.4% of United States electricity demand, yet the grid-level effectiveness of the renewable energy certificates (RECs) and power purchase agreements (PPAs) hyperscalers use to claim carbon neutrality remains unclear. We develop a game-theoretic model in which a …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand

Dana Golden, Aruna Balasubramanian, Niranjan Balasubramanian

Data centers now account for 4.4% of United States electricity demand, yet the grid-level effectiveness of the renewable energy certificates (RECs) and power purchase agreements (PPAs) hyperscalers use to claim carbon neutrality remains unclear. We develop a game-theoretic model in which a …

us (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Dual-Foundation Models for Unsupervised Domain Adaptation

Yerin Cheon, Aruna Balasubramanian, François Rameau

Semantic segmentation provides pixel-level scene understanding essential for autonomous driving and fine-grained perception tasks. However, training segmentation models requires costly, labor-intensive annotations on real-world datasets. Unsupervised Domain Adaptation (UDA) addresses this by training models on labeled synthetic data and adapting them to …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Dual-Foundation Models for Unsupervised Domain Adaptation

Yerin Cheon, Aruna Balasubramanian, François Rameau

Semantic segmentation provides pixel-level scene understanding essential for autonomous driving and fine-grained perception tasks. However, training segmentation models requires costly, labor-intensive annotations on real-world datasets. Unsupervised Domain Adaptation (UDA) addresses this by training models on labeled synthetic data and adapting them to …

us, kr (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2025 preprint OpenAlex

Fine-Grained Energy Prediction For Parallellized LLM Inference With PIE-P

Anurag Dutt, Yun‐Hee Choi, Avirup Sil, Anshul Gandhi et autres

With the widespread adoption of Large Language Models (LLMs), energy costs of running LLMs is quickly becoming a critical concern. However, precisely measuring the energy consumption of LLMs is often infeasible because hardware-based power monitors are not always accessible and software-based energy …

0 citations arXiv (Cornell University)
Accès ouvert 2025 conference-paper OpenAlex

GestureVoice: Enabling Multimodal Text Editing for Blind Users Using Gestures and Voice

Prerna Khanna, Muppala P. Reddy, I. V. Ramakrishnan, Xiaojun Bi et autres

Text editing on smartphones presents substantial difficulties for blind users, particularly in mobile situations where using the smartphone touch screen is challenging.While voice input allows for hands-free text creation, editing the text typically requires physical interaction with the touchscreen, negating the benefits …

us (code pays fourni par la source)

3 citations
2025 conference-paper OpenAlex

Artspeak: An Interactive AR Application for Lifelike Speaking with Art Portraits

Shubhangi S. R. Garnaik, Aruna Balasubramanian, Niranjan Balasubramanian, Jihoon Ryoo

Museum visits often lack personalized and interactive experiences, limiting visitor engagement with art and historical artifacts. To address this, we present ArtSpeak, a standalone augmented reality (AR) application that transforms traditional art viewing into an interactive storytelling experience. When users point their …

kr, us (code pays fourni par la source)

0 citations
Accès ouvert 2025 preprint OpenAlex

ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models

Biddut Sarker Bijoy, Pegah Alipoormolabashi, Avirup Sil, Aruna Balasubramanian et autres

Multi-agent systems with smaller language models (SLMs) present a viable alternative to single agent systems powered by large language models (LLMs) for addressing complex problems. In this work, we study how these alternatives compare in terms of both effectiveness and efficiency. To …

0 citations arXiv (Cornell University)
2025 conference-paper OpenAlex

Degrees of Decentralized Freedom: Comparing Modern Decentralized Storage Platforms

Zhengyu Wu, Brian Lin, Nick Nikiforakis, Aruna Balasubramanian

Decentralized storage platforms distribute control across individual peers, thus reducing reliance on a single entity and mitigating common vulnerabilities of centralized storage systems. In this paper, we compare the architecture and operation of four popular decentralized storage platforms: IPFS, Filecoin, Swarm, and …

us (code pays fourni par la source)

1 citation
Accès ouvert 2024 conference-paper OpenAlex

Scalable and Sustainable Video Analytics on Edge using Sensor Clustering

Shubham Chaudhary, Arani Bhattacharya, Saket Anand, Aruna Balasubramanian

The proliferation of video analytics in applications like autonomous driving, traffic surveillance, and teleoperated vehicles requires on-premise (on edge) execution of deep learning models to meet latency requirements and curb bandwidth usage by limiting frequent offloading of inference tasks. However, constrained by …

us (code pays fourni par la source)

0 citations
Accès ouvert 2024 conference-paper OpenAlex

Panning for gold.eth: Understanding and Analyzing ENS Domain Dropcatching

Muhammad Muzammil, Zhengyu Wu, Aruna Balasubramanian, Nick Nikiforakis

Ethereum Name Service (ENS) domains allow users to map human-readable names (such as gold.eth) to their cryptocurrency addresses, simplifying cryptocurrency transactions. Like traditional DNS domains, ENS domains must be periodically renewed. Failure to renew leads to expiration, making them available for others …

us (code pays fourni par la source)

5 citations

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