Graduate Student Seminar


Novel Deep Learning Models for Mass Spectrometry-based Omics

Novel Deep Learning Models for Mass Spectrometry-based Omics

Muhammad Usman Tariq


Accurately and efficiently identifying protein sequences and structures is a foundational aspect of biological sciences, laying the groundwork for our …

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Artificial Intelligence-Assisted Automatic Cloud Removal from Satellite Imagery

Artificial Intelligence-Assisted Automatic Cloud Removal from Satellite Imagery

Lawrence Egharevba


Remote sensing is the interpretation and inversion of radiometric measurements of electromagnetic radiation from a distance. Electromagnetic radiation can be …

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Enhancing Visual Media Security – Advanced AI Deepfake Detection and Quantum Encryption for Cutting-Edge Cybersecurity

Enhancing Visual Media Security – Advanced AI Deepfake Detection and Quantum Encryption for Cutting-Edge Cybersecurity

Yashas Hariprasad


In the ever-evolving landscape of digital technology, the synergy between artificial intelligence (AI) and quantum computing has catalyzed transformative changes, …

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Advancing Scalability, Efficiency, and Storage Optimization in Blockchain for Mobile Internet of Things (mIoT) Applications

Advancing Scalability, Efficiency, and Storage Optimization in Blockchain for Mobile Internet of Things (mIoT) Applications

Hussein Zangoti


The rising adoption of blockchain technology in mobile Internet of Things (mIoT) networks necessitates the development of efficient, scalable, and …

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Automation of NDN Security by schematized authentication, and confidentiality policies

Automation of NDN Security by schematized authentication, and confidentiality policies

Proyash Podder


Named Data Networking transforms the network communication model’s abstract so that instead of sending packets to hosts, secured data packets …

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Graph Theoretic and Machine Learning-Based Frameworks for Cancer Biomarker Discovery

Graph Theoretic and Machine Learning-Based Frameworks for Cancer Biomarker Discovery

Raihanul Bari Tanvir


Biomarkers are highly significant in cancer research, diagnosis, and treatment as they help to comprehend the biological response mechanisms following …

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Interdependent Reinforcement Learning Algorithms for Concurrent Restoration of Coupled Critical Infrastructures

Interdependent Reinforcement Learning Algorithms for Concurrent Restoration of Coupled Critical Infrastructures

Namrata Saha


Ensuring the timely recovery of interdependent critical infrastructures is essential for enhancing the resilience of communities when faced with disruptive …

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Multivariate Subset Sensor Selection Optimization for Environmental Monitoring

Multivariate Subset Sensor Selection Optimization for Environmental Monitoring

Aurelien Meray


Environmental monitoring plays a vital role in understanding and managing our natural environment. With the advent of sensor technologies and …

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