Dr. Hadi Amirpour , University of Klagenfurt , Austria.
Dr. Hadi Amirpour 🎓 is a dynamic researcher in Computer Science, currently based in Austria 🇦🇹. He earned his Ph.D. from the University of Klagenfurt in 2022 🧠. With a solid foundation in both Biomedical 🧬 and Electrical Engineering ⚡, Hadi blends interdisciplinary expertise to drive innovation in technology and healthcare. His academic journey spans prestigious institutions in Iran 🇮🇷 and Europe, showcasing a global perspective 🌍. Passionate about AI, systems design, and signal processing 🤖📡, Hadi is also active in international collaborations and knowledge sharing via Skype and other platforms 💬🌐.
Professional Profile
Education & Experience
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🎓 Ph.D. in Computer Science – University of Klagenfurt, Austria (2022)
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🎓 M.Sc. in Electrical Engineering – K.N. Toosi University of Technology, Iran (2014)
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🎓 B.Sc. in Biomedical Engineering – Azad University, Iran (2016)
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🎓 B.Sc. in Electrical Engineering – Amirkabir University of Technology, Iran (2009)
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🧑💻 Researcher and Developer – Involved in interdisciplinary research across Europe and Asia
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🌐 International Academic Collaborator – Actively participating in global research networks
Summary Suitability
Dr. Hadi Amirpour is an exceptional candidate for the Best Researcher Award, recognized for his groundbreaking work at the intersection of computer science, multimedia systems, and biomedical signal processing. With a proven track record of high-impact research, pioneering patents, and leadership in global academic forums, Dr. Amirpour stands out as a thought leader who consistently advances the frontiers of multimedia communication and immersive media technologies.
Professional Development
Dr. Hadi Amirpour continually pursues professional development through cutting-edge research 🔍, academic collaborations 🤝, and participation in scientific communities 🧑🔬. He regularly attends international conferences 🌍, contributes to peer-reviewed journals 📚, and engages in mentorship programs to support young researchers 🎓. His multi-disciplinary background in electrical, biomedical, and computer science empowers him to navigate complex research challenges 🧠⚙️. Hadi maintains active communication through professional platforms like Skype 💻 and stays updated on emerging technologies, including AI and data-driven solutions 🤖📈. His commitment to lifelong learning and global innovation sets him apart as a proactive academic leader 🚀.
Research Focus
Dr. Hadi Amirpour’s research focus lies at the intersection of Computer Science, Biomedical Engineering, and Electrical Systems 🧠⚡🧬. His primary interests include artificial intelligence 🤖, signal processing 🎛️, embedded systems ⚙️, and data analysis for healthcare applications 🏥📊. By integrating engineering techniques with computational intelligence, he contributes to the advancement of smart medical technologies 💉📱 and real-time system optimization 🌐🕒. Hadi’s cross-disciplinary expertise allows him to approach research problems with a holistic view 🔬, fostering innovation in both academic and industrial settings 🏢💡. He aims to make impactful contributions to technology that improves human health and well-being 🌍❤️.
Awards & Honors
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🧪 Organizer & Contributor – ACM Multimedia Workshops
• Multimedia Computing for Health and Medicine (MCHM), 2025 🩺📹
• Interactive eXtended Reality (IXR), 2022 & 2023 🕶️🌐
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🎓 Organizer – MobiSys SMS Workshop
• Students in MobiSys (SMS), 2021 👨💻📱
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📘 Tutorial Presenter at Prestigious Conferences
• ACM Multimedia 2025 – Perceptual Visual Quality Assessment 🧠📺
• IEEE ICME 2025 – Video Coding in HTTP Adaptive Streaming 🎞️🌍
• IEEE ICME 2023 – HAS, Video Codecs & Encoding Optimization ⚙️🔄
• IEEE VCIP 2023 – Video Encoding for Adaptive Streaming 📡🎬
Publication Top Notes
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📊 VCA: Video Complexity Analyzer
Authors: V.V. Menon, C. Feldmann, H. Amirpour, M. Ghanbari, C. Timmerer
Venue: Proceedings of the 13th ACM Multimedia Systems Conference, pp. 259–264
Citations: 67
Year: 2022
🔍 A comprehensive tool for analyzing video complexity to optimize streaming workflows.
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🌐 A Tutorial on Immersive Video Delivery: From Omnidirectional Video to Holography
Authors: J. Van Der Hooft, H. Amirpour, M.T. Vega, Y. Sanchez, R. Schatz, T. Schierl, et al.
Venue: IEEE Communications Surveys & Tutorials, Vol. 25(2), pp. 1336–1375
Citations: 58
Year: 2023
🧠 An authoritative tutorial exploring advanced immersive media delivery technologies.
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📽️ PSTR: Per-Title Encoding using Spatio-Temporal Resolutions
Authors: H. Amirpour, C. Timmerer, M. Ghanbari
Venue: IEEE International Conference on Multimedia and Expo (ICME), pp. 1–6
Citations: 49
Year: 2021
🧩 Proposes a novel per-title encoding method that leverages spatio-temporal optimization.
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📉 INTENSE: In-depth Studies on Stall Events and Quality Switches and Their Impact on the Quality of Experience in HTTP Adaptive Streaming
Authors: B. Taraghi, M. Nguyen, H. Amirpour, C. Timmerer
Venue: IEEE Access, Vol. 9, pp. 118087–118098
Citations: 44
Year: 2021
⚙️ Explores the user experience impact of buffering and bitrate changes in streaming.
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🎬 OPTE: Online Per-Title Encoding for Live Video Streaming
Authors: V.V. Menon, H. Amirpour, M. Ghanbari, C. Timmerer
Venue: ICASSP 2022 – IEEE International Conference on Acoustics, Speech and Signal Processing
Citations: 39
Year: 2022
🕒 Introduces a real-time approach to optimize live streaming quality through encoding.
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🤖 DeepStream: Video Streaming Enhancements using Compressed Deep Neural Networks
Authors: H. Amirpour, M. Ghanbari, C. Timmerer
Venue: IEEE Transactions on Circuits and Systems for Video Technology
Citations: 38
Year: 2022
🧠 Applies deep learning for enhanced video streaming performance and compression.
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📦 Multi-Codec Ultra High Definition 8K MPEG-DASH Dataset
Authors: B. Taraghi, H. Amirpour, C. Timmerer
Venue: Proceedings of the 13th ACM Multimedia Systems Conference, pp. 216–220
Citations: 32
Year: 2022
🎞️ Presents a rich dataset to support benchmarking and research in 8K video streaming.
Conclusion
Dr. Hadi Amirpour’s sustained research excellence, technical innovations, and global academic contributions make him highly deserving of the Best Researcher Award. His work not only demonstrates scholarly depth and innovation but also shows clear translational impact on the future of multimedia technologies and intelligent streaming systems. His unique combination of interdisciplinary expertise, prolific output, and international leadership defines the essence of a world-class researcher.