Imran Razzak

Imran Razzak

Grants

• Chief Investigator: Leveraging Foundation Models for Accelerated Materials Science Research — Microsoft Accelerate Foundation Models Research Program • 20K (access to Azure OpenAI GPT-4 model)
• Chief Investigator: LLMs are not Enough — Integrating Knowledge Graph with LLMs for Reasoning and Factual Modeling • Technology Innovation • 696,000 • TII
• Co-Investigator: MI2.0 Grid Integrated Control of Buildings Preparation • $350K • International Clean Innovation Researcher Networks
• Co-Investigator: A smartphone rip-detection tool to improve rip current awareness • ARC Linkage • $343K
• Co-Investigator: Piloting shared digital infrastructure for delivering demand flexibility and energy efficiency from C&I loads • NSW Clean Technology Research Development & Commercialisation Infrastructure Grant • $460K
• Co-Investigator: $1.7M research grant from CSIRO and 6 industries to train a cohort of 15 HDR students in developing innovative AI-driven medical technologies
• Co-Investigator: Spectralis Imaging Platform • $166K • Faculty Infrastructure Research Grant
• Investigator: Utilizing Extractive–Abstractive Summarization for Understanding the Narrative of Social Media Users from Multimodal Data • Office of National Intelligence (ONI) Australia • AI for Decision Making Initiative Round 2 Phase 1 • AUD 20K
• Co-Investigator: Cold-start Contract Cheating Identification from Side Information Using Latent Linear Writing Style Representation • AUD 12K (2022) • Deakin Science & Society Network
• Co-Investigator: Open-Source Simulator for Light-based Internet of Things • 50K • CCD UNSW
• Co-Investigator: Privisor — A User-Oriented Intelligent Privacy Advisor System for Mobile • 39.5K • GROW grant

Awards

• Our team achieved top positions in several ISBI challenges (e.g., 1st in IACTA-EST).
• Our paper “COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis” received the 2022 Andrew P. Sage Transactions paper award. Congrats to my co-authors.
• Our paper “Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification” was nominated for a Best Paper Award. Congrats to Tanya and co-authors.
• MICCAI Challenge update: ranked 1st in CuRIOUS (Correction of brain shift with Intraoperative Ultrasound segmentation), 4th in CMRxMotion (Cardiac MRI Analysis Challenge under Respiratory Motion), 6th in ATM’22 (Multi-site, Multi-domain Airway Tree Modeling), and 9th in INSTANCE (Intracranial Hemorrhage Segmentation on Non-contrast head CT), plus 10th in HECKTOR (Automatic Head and Neck Tumor Segmentation and outcome prediction).
• Our research team won the Best Demo Award at the MDM 2022 conference. Check out the paper here.