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Announcements

Research Highlights

Dr. Innocent Nyalala

Research poster for Dr. Innocent Nyalala
Conference2025

Prime Directives for Responsible AI for Africa: A Manifesto for Inclusive Technology

Data Science Africa (DSA) 2025 conference, hosted by Iaban University

We present a holistic framework for developing inclusive, ethical, and sustainable AI that addresses Africa's unique cultural, social, and economic contexts. We emphasize participatory design, data equity, and local empowerment to ensure AI benefits all African communities.

Journal2025

Rectifying the extremely weakened signals for cassava leaf disease detection

Computers and Electronics in Agriculture, Volume 232

Developed an artificial intelligence approach to accurately detect cassava leaf diseases by enhancing weak signal patterns in agricultural imaging.

Dr. Manoj Kumar

Research poster for Dr. Manoj Kumar
Journal2025

Mathematical analysis and optimal control of age-structured social interaction model with law enforcement

Mathematical Methods in the Applied Sciences, Volume 48, Issue 3

Investigated the dynamics of social systems influenced by age groups and law enforcement through mathematical modeling.

Conference2025

Small but Mighty: Unlocking Financial Sentiment Analysis with Compact Language Models

Workshop on Advances in Financial Artificial Intelligence, International Conference on Learning Representations, Singapore

Proposed the use of compact natural language models for efficient financial sentiment analysis in resource-constrained environments.

Conference2024

Optimal control in a social interaction model with law enforcement

Control Conference Africa, Mauritius

Modeled how law enforcement interventions affect social behavior and optimal response strategies.

Invited Talk2024

Analysis of a mathematical model for malaria using data-driven approach

14th American Institute of Mathematical Sciences Conference, New York University Abu Dhabi

Demonstrated how data enhances predictive models for disease spread and control measures.

Dr. Tushar Shinde

Research poster for Dr. Tushar Shinde
Conference2025

An efficient and scalable framework for lightweight crop disease recognition in low-resource settings

Workshop on Agriculture-Vision, IEEE/CVF Conference on Computer Vision and Pattern Recognition, Nashville

Introduced a computer vision model for accurate crop disease identification suitable for rural and low-infrastructure regions.

Conference2025

Multiple papers on visual quality assessment and generative image models

Workshops on Women in Computer Vision and Generative Models, IEEE/CVF Conference

Focused on evaluating and improving visual quality in AI-generated images using efficient vision transformers.

Conference2025

Remote sensing and maritime applications using compressed neural networks

IEEE/CVF Winter Conference on Applications of Computer Vision, Arizona

Designed compressed and quantized models for land cover and maritime image classification in Earth observation.

Conference2025

Model compression for edge deployment and surveillance systems

International Conference on Digital Signal Processing, Greece

Proposed optimal model pruning and resolution scaling techniques for energy-efficient deployments in remote sensing.

Conference2025

EdgeHeart: Real-time detection of cardiac conduction disorders on edge devices

50th IEEE International Conference on Acoustics, Speech, and Signal Processing, Hyderabad

Demonstrated a real-time medical diagnosis tool for cardiac disorders deployable on mobile or wearable devices.

Conference2024

Adaptive quantization of deep neural networks via layer importance estimation

International Conference on Computer Vision and Image Processing, Chennai

Proposed intelligent quantization techniques for optimizing deep learning model size without losing accuracy.

Conference2024

Efficient motion search for surveillance video coding

International Conference on Image Processing Theory, Tools and Applications, Morocco

Introduced a novel motion estimation technique to compress surveillance video data efficiently.

Conference2024

Speech emotion recognition using quantized neural networks

38th Annual Conference on Neural Information Processing Systems, Canada

Built compact emotion recognition systems for speech analysis using adaptive layer quantization.

Dr. Ritika Jain

Research poster for Dr. Ritika Jain
Conference2025

Effective diagnosis of sleep disorders with LightGBM-EOG-EEG

13th IEEE International Conference on Healthcare Informatics, Italy

Combined EEG and EOG modalities with machine learning for better sleep disorder classification.

Conference2025

Seizure detection from EEG signals using autoencoder-classifier model

25th International Conference on Digital Signal Processing, Greece

Designed a deep learning approach that uses signal transformation for early seizure detection in clinical settings.

Journal2024

Modality-specific feature selection for improved sleep staging

IEEE Journal of Biomedical and Health Informatics, Volume 28, Issue 2

Enhanced sleep stage classification by selecting relevant EEG and EOG features and improving temporal awareness.

Conference2024

Classification of insomnia using sleep microstructure patterns

46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Florida

Explored the role of cyclic alternating patterns in identifying insomnia-related disruptions.

Journal2024

Effective diagnosis of various sleep disorders using LEE classifier: LightGBM-EOG

IEEE Journal of Biomedical and Health Informatics, Volume 29, Issue 4

Introduced a novel LightGBM-based classifier utilizing EOG signals to achieve efficient and interpretable diagnostics for a range of sleep disorders.

Journal2024

Modality-specific feature selection, data augmentation, and temporal context for improved sleep staging

IEEE Journal of Biomedical and Health Informatics, Volume 28, Issue 2

Proposed a comprehensive framework that integrates feature selection across EEG and EOG modalities, temporal modeling, and data augmentation to enhance accuracy in automatic sleep stage classification.

Awards & Recognitions

Award poster for Shivaanee Eswaran
Faculty Mentor: Dr. Tushar Shinde

Women in Computer Vision Workshop (WiCV) at CVPR 2025 travel grant award

Student(s):Shivaanee Eswaran

Work:Uncertainty-guided Style-aware Perceptual Quality Assessment for AI-Generated Images

Conference on Computer Vision and Pattern Recognition (CVPR 2025), USA
Award poster for Ahmed Silima Vuai
Faculty Mentor: Dr. Tushar Shinde

€1500 travel grant award

Student(s):Ahmed Silima Vuai

Work:Efficient Land-Cover Image Classification via Mixed Bit-Precision Quantization

Workshop on Machine Learning for Remote Sensing, International Conference on Learning Representations (ICLR 2025), Singapore
Faculty Mentor: Dr. Tushar Shinde

Crossed French Mobility Program 2024

Student(s):Ahmed Silima Vuai and Shivam Bhardwaj

Work:Fully funded research stays for one semester at Grenoble INP, France, and Université de Nantes, Polytech Nantes, France

French Embassy in Tanzania
Faculty Mentor: Dr. Tushar Shinde

3rd place in VRD Intelligence and Understanding Leaderboard

Student(s):Vikalp, Shivam, Patrick, and Madhusudan

Work:VRD Layout Analysis and Structure Parsing competition

39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, USA

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