changes_06_02

Author: HDymarkowski

assets/img/people/elam.jpg

@@ -42,6 +42,25 @@ Topic: "'Efficient ML model implementation in FPGAs"
  <br><br>
  <br><br>
 
+**[Vinamra Sharma](https://www.linkedin.com/in/vinamra-sharma/)** <br>  <img src="/assets/img/people/vin.avif" width="100px" style="float: left; margin-right: 20px;">
+ Topic: "Topic:AI Compilers"
+ <br><br>
+ <br><br>
+
+
+## Research Assistants
+**[Elam Cohavi](https://www.linkedin.com/in/elam-cohavi/)** <br> <img src="/assets/img/people/elam.jpg" width="100px" style="float: left; margin-right: 20px;">
+ Topic: "Machine Learning Compilers"
+ <br><br>
+ <br><br>
+
+## MSci Students
+
+ **[Luke Holmes](https://www.linkedin.com/in/lara-d-agata-616992283)** <br>
+ Topic: "End-to-End Acceleration of Fully Homomorphic Encrypted DNNs"
+ <br><br>
+ <br><br>
+
 
 <!--
 ### MSc Students
@@ -61,6 +80,8 @@ Topic: "'Efficient ML model implementation in FPGAs"
 <!-- ### MSc Students -->
 
 ## Visitors
+- [Lara D'Agata](https://www.linkedin.com/in/lara-d-agata-616992283) - University of Glasgow, UK
+- [Giacomo Donati](https://scholar.google.com/citations?user=uz1oCtcAAAAJ&hl=it) - Università di Bologna, Italy
 - [Manuel de Castro Caballero](https://www.linkedin.com/in/decastromanuel/) - Universidad de Valladolid, Spain
 - [Izan Catalán](https://www.linkedin.com/in/izan-catal%C3%A1n-gallach-5574bb243/) - Universitat Politècnica de València, Spain
 
@@ -91,6 +112,7 @@ Topic: "'Efficient ML model implementation in FPGAs"
 <!-- ## Visiting Researchers-->
 
 ## Past Lab Members
+- [Lara D'Agata](https://www.linkedin.com/in/lara-d-agata-616992283) - currently a Software Engineer at [Pulsion Technology](https://www.pulsion.co.uk/)
 - [Idris Zakariyya](https://www.gla.ac.uk/schools/computing/staff/idriszakariyya/), currently postdoc at University of Glasgow
 - [Ferheen Ayaz](https://ferheenayaz.github.io/), currently Lecturer at City, University of London
 

assets/img/people/vin.avif

@@ -6,16 +6,13 @@ subtitle:
 
 ## Current Projects
 
-### dAIEDGE
+* **[dAIEDGE (A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge)](https://daiedge.eu/), 09/2023 - 08/2026, funded by [Horizon Europe](https://research-and-innovation.ec.europa.eu/funding/funding-opportunities/funding-programmes-and-open-calls/horizon-europe_en)**
+    
+    The dAIEDGE project is ‘A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge’. The network has a project volume of €14.4 million, of which €10.7 million is funded by the European Union, across 36 partners. gicLAB is actively working on contributions related to software and hardware components of this project.
 
-The dAIEDGE project is ‘A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge’.
-The network has a project volume of €14.4 million, of which €10.7 million is funded by the European Union, across 36 partners.
-gicLAB is actively working on contributions related to software and hardware components of this project.
-
-### Multimodal AI-based Security at the Edge (MAISE)
-
-The [MAISE project](https://petras-iot.org/project/multimodal-ai-based-security-at-the-edge-maise/) investigates the resilience of Artificial Intelligence (AI) and Machine Learning (ML) models on IoT-scale devices.
+* **SECDA-DSE (Automated Design Space Exploration of FPGA-based Accelerators using LLMs), 08/2025 - 07/2026, funded by UKRI [APRIL AI Hub](https://april.ac.uk/)**
 
+    The SECDA-DSE (Automated Design Space Exploration of FPGA-based Accelerators using LLMs) project is funded by the UKRI APRIL AI Hub and aims to provide a novel automated design space exploration (DSE) solution for designing FPGA-based accelerators utilising Large Language Models (LLMs) with iterative fine-tuning to adapt to the evaluated performance.
 
 ## Industry Collaboration
 Our group collaborates with researchers from a variety of companies and agencies, including:
@@ -27,8 +24,10 @@ If you're interested in collaborating on research there are opportunities for in
 
 ## Past Projects
 
-### BonsAPPs AIMDDE
+* **[MAISE (Multimodal AI-based Security at the Edge)](https://petras-iot.org/project/multimodal-ai-based-security-at-the-edge-maise/), 11/2021 - 08/2023, funded by [PETRAS](https://petras-iot.org/)**
+
+    The MAISE project investigates the resilience of Artificial Intelligence (AI) and Machine Learning (ML) models on IoT-scale devices.
+
+* **[AIMDDE (AI-based Manufacturing Defect Detection at the Edge)](../2022-01-25-aimdde_announce/), 02/2022 - 03/2022, funded by EU’s Horizon [BonsAPPs](https://bonsapps.eu/) AI Talents 1st Open Call**
 
-The Glasgow Intelligent Computing Lab (gicLAB) was awarded funding to undertaking the AIMDDE (AI-based Manufacturing Defect Detection at the Edge) research challenge, in response to the Open Call for AI Talents of the BonsAPPs Horizon 2020 project.
-We succesfully met all of the goals of the challenge, was were able to adapt the work into [a paper at AccML 2022](https://arxiv.org/abs/2206.09359).
-Please [see our blogpost](../2022-01-25-aimdde_announce/), and <https://bonsapps.eu/> for details.
+    The Glasgow Intelligent Computing Lab (gicLAB) was awarded funding to undertaking the AIMDDE (AI-based Manufacturing Defect Detection at the Edge) research challenge, in response to the Open Call for AI Talents of the BonsAPPs Horizon 2020 project. We succesfully met all of the goals of the challenge, was were able to adapt the work into [a paper at AccML 2022](https://arxiv.org/abs/2206.09359). Please [see our blogpost](../2022-01-25-aimdde_announce/), and <https://bonsapps.eu/> for details.

people.md

@@ -4,13 +4,28 @@ title: Publications
 subtitle:
 ---
 
+# 2026
+
+-  A. Pagani, J. Cano, H.-G. Stratigopoulos et al
+    *'Multi-Partner Project: dAIEDGE - A Network of Excellence for Distributed, Trustworthy, Efficient and Scalable AI at the Edge'*, to appear in 2026 Design, Automation & Test in Europe Conference & Exhibition (**DATE**), Verona, Italy, April 2026.
+
+-  E. Cohavi, N. Bohm Agostini, J. Haris, A. Tumeo, D. Kaeli, J. Cano
+    *'Defeat the Heap: Zero-Copy Data Movement in AXI4MLIR'*, to appear in 7th Compilers for Machine Learning Workshop (**C4ML**) co-located with **CGO**, Sydney, Australia, Jan-Feb 2026
+
 # 2025
 
+- O. V. Babalola, J. Cano, S. Deepaisarn, N. B. Truong
+    *'FedRand: A Federated Random Forest Learning Technique for Anomaly Detection in IoT Networks'*, 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (**TrustCom**), Guiyang, China, November 2025.
+
 -  A. Navarro, J. Cano, J. L. Abellán, M. Acacio
-    *'QuFi: Adaptive Tiled Gustavson Output Reuse for Edge Sparse DNN Accelerators'*, to appear in 43rd IEEE International Conference on Computer Design (**ICCD**), Dallas, USA, November 2025.
+    *'QuFi: Adaptive Tiled Gustavson Output Reuse for Edge Sparse DNN Accelerators'*, 43rd IEEE International Conference on Computer Design (**ICCD**), Dallas, USA, November 2025.
+
+- J. Haris, J. Cano
+    *'Accelerating AI at the Edge: The Power of Efficient Hardware-Software Co-Design'*, Reach Emerging Architectures in Computing Horizons conference (**REACH**), London, UK, November 2025. [[Poster]](https://www.dcs.gla.ac.uk/~josecr/pub/2025_reach_poster.pdf) **Best Poster Award**
+
 
 - J. Haris, J. Cano
-    *'Accelerating Transposed Convolutions on FPGA-based Edge Devices'*, to appear in 35th International Conference on Field-Programmable Logic and Applications (**FPL**), Leiden, The Netherlands, September 2025. [[Paper]](https://arxiv.org/abs/2507.07683)
+    *'Accelerating Transposed Convolutions on FPGA-based Edge Devices'*, 35th International Conference on Field-Programmable Logic and Applications (**FPL**), Leiden, The Netherlands, September 2025. [[Paper]](https://arxiv.org/abs/2507.07683)
 
 - W. Hu, P. Henderson, J. Cano
     *'ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks'*, International Joint Conference on Neural Networks (**IJCNN**), Rome, Italy, July 2025. [[Paper]](https://arxiv.org/abs/2505.07411)