Farzad Tashtarian
Scholar

Farzad Tashtarian

Google Scholar ID: KWUILgcAAAAJ
Postdoctoral Researcher at Klagenfurt University, Austria
Multimedia StreamingSystems and NetworkingAI/ML Systems
Citations & Impact
All-time
Citations
794
 
H-index
18
 
i10-index
28
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • Paper 'SEED: Energy and Emission Estimation Dataset for Adaptive Video Streaming' accepted by IEEE International Conference on Visual Communications and Image Processing (VCIP).
  • Paper 'NeVES: Real-Time Neural Video Enhancement for HTTP Adaptive Streaming' accepted by IEEE International Conference on Visual Communications and Image Processing (VCIP).
  • 2024 Reviewer Certificate, IEEE Transactions on Parallel and Distributed Systems (TPDS).
  • Paper 'GenStream: Semantic Streaming Framework for Generative Reconstruction of Human-centric Media' accepted by ACM Multimedia 2025 - Brave New Ideas (ACM MM'25).
  • Paper 'Receiving Kernel-Level Insights via eBPF: Can ABR Algorithms Adapt Smarter?' accepted by Next-Generation Communication Networks (WueWoWAS’25) Workshop.
  • Paper 'diveXplore - An Open-Source Software for Modern Video Retrieval with Image/Text Embeddings' accepted by ACM Multimedia 2025 - Open Source (ACM MM'25).
  • Tutorial proposal 'Optimizing Low-Latency Video Streaming: AI-Assisted Codec-Network Coordination' accepted for ACM SIGCOMM 2025.
  • Paper 'Real-Time AI-Driven Avatar Generation for Sign Language in HTTP Adaptive Streaming' accepted by the 3rd ACM SIGCOMM Workshop on Emerging Multimedia Systems (EMS'25).
  • Paper 'HTTP Adaptive Streaming: A Review on Current Advances and Future Challenges' accepted by ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
  • DORBINE project featured in DER STANDARD, a prominent Austrian newspaper.
  • First FFG project, DORBINE, approved.
  • Paper 'End-to-End Learning-based Video Streaming Enhancement Pipeline: A Generative AI Approach' accepted by ACM 35th Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV’25).
  • Paper 'ALPHAS: Adaptive Bitrate Ladder Optimization for Multi-Live Video Streaming' accepted by IEEE International Conference on Computer Communications (INFOCOM).
Research Experience
  • Currently a Senior Postdoctoral Researcher at the Department of Information Technology, Alpen-Adria-Universität (AAU), Klagenfurt, Austria, working on the ATHENA project.
Education
  • Received a Ph.D. in Computer Engineering from Ferdowsi University of Mashhad, Iran.
Background
  • Senior Postdoctoral Researcher, focusing on the end-to-end aspects of video streaming. Research interests include the design, analysis, and optimization of complex networked systems, particularly for applications like adaptive video streaming and real-time multimedia delivery.