FK

Fahim Kawsar

0000-0001-5057-9557

cs.LGcs.AIcs.DCeess.SPcs.HCeess.AScs.CYcs.SDcs.CVcs.CL

On Valency

published · living versions

The BEATS Dataset: Towards Understanding Music-Physiology Dynamics in Real-World Scenarios

with Benjamin Gutierrez Serafin, Tanaya Guha

1 version

W_begcdaf5v1 · current

Preprints & journals

39 papers in the corpus · 2018–2026

AdaNODEs: Test Time Adaptation for Time Series Forecasting Using Neural ODEs

Ting Dang, Soumyajit Chatterjee, Hong Jia et al.

0 citations

2601.12893v12026arXiv

ConSensus: Multi-Agent Collaboration for Multimodal Sensing

Hyungjun Yoon, Mohammad Malekzadeh, Sung-Ju Lee et al.

0 citations

2601.06453v22026arXiv

Listening to the Mind: Earable Acoustic Sensing of Cognitive Load

Xijia Wei, Ting Dang, Khaldoon Al-Naimi et al.

0 citations

2512.18413v12025arXiv

CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models

Yuxuan Shu, Peter H. Charlton, Fahim Kawsar et al.

0 citations

2512.02180v12025arXiv

Contrastive Self-Supervised Learning at the Edge: An Energy Perspective

Fernanda Fam'a, Roberto Pereira, Charalampos Kalalas et al.

2 citations

2510.08374v12025arXiv

AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks

Irene Tenison, Soumyajit Chatterjee, Fahim Kawsar et al.

0 citations

2510.03101v22025arXiv

DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators

Taesik Gong, Fahim Kawsar, Chulhong Min

2 citations

2412.06566v12024arXiv

PRIMUS: Pretraining IMU Encoders with Multimodal Self-Supervision

Arnav M. Das, Chi Ian Tang, Fahim Kawsar et al.

4 citations

2411.15127v32024arXiv

SoundCollage: Automated Discovery of New Classes in Audio Datasets

Ryuhaerang Choi, Soumyajit Chatterjee, Dimitris Spathis et al.

0 citations

2410.23008v22024arXiv

PaPaGei: Open Foundation Models for Optical Physiological Signals

Arvind Pillai, Dimitris Spathis, Fahim Kawsar et al.

7 citations

2410.20542v22024arXiv

OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning

Alessandro Montanari, Ashok Thangarajan, Khaldoon Al-Naimi et al.

4 citations

2410.04775v12024arXiv

The first step is the hardest: pitfalls of representing and tokenizing temporal data for large language models.

Spathis, Dimitris, Kawsar, Fahim

35 citations

389504172024Journal of the American Medical Informatics Association : JAMIA. 2024;31(9):2151-2158

Using Self-supervised Learning Can Improve Model Fairness

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides et al.

6 citations

2406.02361v12024arXiv

An AI-Native Runtime for Multi-Wearable Environments

Chulhong Min, Utku Gunay Acer, SiYoung Jang et al.

0 citations

2403.17863v12024arXiv

Time-bound Contextual Bio-ID Generation for Minimalist Wearables

Adiba Orzikulova, Diana A. Vasile, Fahim Kawsar et al.

1 citation

2403.00889v12024arXiv

Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras

Chulhong Min, Juheon Yi, Utku Gunay Acer et al.

1 citation

2401.14132v22024arXiv

Balancing Continual Learning and Fine-tuning for Human Activity Recognition

Chi Ian Tang, Lorena Qendro, Dimitris Spathis et al.

1 citation

2401.02255v12024arXiv

Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data

Sofia Yfantidou, Dimitris Spathis, Marios Constantinides et al.

1 citation

2401.01640v12024arXiv

Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables

Taesik Gong, Si Young Jang, Utku Gunay Acer et al.

6 citations

2401.08637v32023arXiv

EarSet: A Multi-Modal Dataset for Studying the Impact of Head and Facial Movements on In-Ear PPG Signals.

Montanari, Alessandro, Ferlini, Andrea, Balaji, Ananta Narayanan et al.

25 citations

380407252024Scientific data. 2023;10(1):850

Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing

Mohammad Malekzadeh, Fahim Kawsar

5 citations

2310.13384v22023arXiv

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking

Shohreh Deldari, Dimitris Spathis, Mohammad Malekzadeh et al.

23 citations

2307.16847v32023arXiv

The State of Algorithmic Fairness in Mobile Human-Computer Interaction

Sofia Yfantidou, Marios Constantinides, Dimitris Spathis et al.

2 citations

2307.12075v1202325th International Conference on Mobile Human-Computer Interaction (MobileHCI '23 Companion), September 26--29, 2023, Athens, Greece

Towards personalised music-therapy; a neurocomputational modelling perspective

Nicole Lai, Marios Philiastides, Fahim Kawsar et al.

1 citation

2305.14364v12023arXiv

Kaizen: Practical Self-supervised Continual Learning with Continual Fine-tuning

Chi Ian Tang, Lorena Qendro, Dimitris Spathis et al.

14 citations

2303.17235v22023Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, pp. 2841-2850

(Un)fair devices: Moving beyond AI accuracy in personal sensing

Sofia Yfantidou, Marios Constantinides, Dimitris Spathis et al.

5 citations

2303.15585v42023arXiv

Enhancing Efficiency in Multidevice Federated Learning through Data Selection

Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee et al.

5 citations

2211.04175v62022arXiv

A multidevice and multimodal dataset for human energy expenditure estimation using wearable devices.

Gashi, Shkurta, Min, Chulhong, Montanari, Alessandro et al.

22 citations

360503122022Scientific data. 2022;9(1):537

Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering

Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar et al.

25 citations

2205.11506v22022arXiv

FLAME: Federated Learning Across Multi-device Environments

Hyunsung Cho, Akhil Mathur, Fahim Kawsar

49 citations

2202.08922v22022Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 3, Article 107 (September 2022)

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition

Yash Jain, Chi Ian Tang, Chulhong Min et al.

3 citations

2202.00758v12022arXiv

Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows

Wiebke Toussaint, Aaron Yi Ding, Fahim Kawsar et al.

15 citations

2201.07677v42022arXiv

FRuDA: Framework for Distributed Adversarial Domain Adaptation

Shaoduo Gan, Akhil Mathur, Anton Isopoussu et al.

5 citations

2112.13381v12021arXiv

SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices

Chulhong Min, Akhil Mathur, Utku Gunay Acer et al.

10 citations

2109.03947v12021arXiv

SensiX: A Platform for Collaborative Machine Learning on the Edge

Chulhong Min, Akhil Mathur, Alessandro Montanari et al.

2 citations

2012.06035v12020arXiv

Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation

Akhil Mathur, Fahim Kawsar, Nadia Berthouze et al.

15 citations

2009.02814v120202020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 7439-7443

Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems

Akhil Mathur, Anton Isopoussu, Fahim Kawsar et al.

54 citations

2003.12425v12020arXiv

On Goodness of WiFi based Monitoring of Vital Signs in the Wild

Kamran Ali, Mohammed Alloulah, Fahim Kawsar et al.

7 citations

2003.09386v12020arXiv

On Tracking the Physicality of Wi-Fi: A Subspace Approach

Mohammed Alloulah, Anton Isopoussu, Chulhong Min et al.

6 citations

1810.04302v32018arXiv

Career total: 316 works. 39 are in this corpus.

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