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Tsun-Ming TsengView profile

Professor

• Microfluidic Large-Scale Integration
• Optical Network-on-Chip
• Microfabrication
• +3 more

Tsun-Ming Tseng is a Professor and principal investigator at the Chair of Electronic Design Automation at the Technical University of Munich (TUM). He leads the Emerging Technology Group and oversees multiple DFG/BMBF-funded research projects in the areas of microfluidic large-scale integration, optical network-on-chip design, and novel microfabrication techniques. Dr. Tseng's research focuses on design automation for emerging technologies, with particular expertise in three main areas: microfluidic large-scale integration, optical network-on-chip systems, and novel microfabrication processes. His work bridges the gap between electronic design automation and cutting-edge applications in bioengineering, photonics, and advanced manufacturing. His research group develops sophisticated algorithms and tools for optimizing design, reliability, and performance in these emerging domains. Analysis of Dr. Tseng's recent publications reveals a strong focus on practical implementation challenges in emerging technologies. His work spans both theoretical algorithm development and practical system implementation, with particular emphasis on reliability, performance optimization, and manufacturing considerations. The research shows increasing integration between different technology domains, particularly the convergence of microfluidics, optical networking, and electronic design automation. Dr. Tseng has been awarded multiple significant research grants including: "DE-TW-CloudWRONoC" (BMBF-NSTC project, PI, 2025-2028, EUR 797.7K) "DE-TW-PI3D" (BMBF-NSTC project, PI, 2024-2027, EUR 391.6K) "Physical Design for Microfluidic Large-Scale Integration" (DFG research grant, PI, 2024-2026, EUR 331.9K) Multiple other DFG and industrial projects totaling over EUR 3 million in funding He has successfully supervised numerous doctoral researchers and postdoctoral fellows, with current group members including Jiahui Peng, Debraj Kundu, Liaoyuan Cheng, and several others. Dr. Tseng leads the Emerging Technology Group at TUM, which focuses on developing design automation methodologies for next-generation technologies. The group maintains strong collaborations with international institutions, including partnerships with researchers in Taiwan and Hong Kong. The team operates state-of-the-art facilities for research in microfluidics, optical networking, and advanced microfabrication techniques.

• Optical Networks-on-Chip
• Wavelength-Routed Optical Networks
• Electronic Design Automation
• +4 more

Zhidan Zheng is a researcher at the Technical University of Munich (TUM), working within the Chair of Electronic Design Automation led by Prof. Ulf Schlichtmann. His office is located in room 0509.05.911 at Arcisstr. 21, 80333 Munich, with direct contact available via email zhidan.zheng@tum.de and phone +49 (89) 289 - 23692. Zheng holds a Master of Science degree as indicated by his academic title M.Sc. and has been actively contributing to the field of optical interconnects and network-on-chip design. Zheng's research focuses on wavelength-routed optical networks-on-chip, with particular expertise in network topology optimization, fault tolerance mechanisms, waveguide routing algorithms, and bandwidth allocation strategies. His work addresses critical challenges in photonic integrated circuit design, including thermal variation effects, crosstalk mitigation, and lifetime extension for communication-intensive systems. Zheng has developed several innovative methodologies including ToPro+ for topology projection, LightR for fault-tolerant architectures, and WROXIM for network-level simulation. Analysis of Zheng's publication trends from 2021-2025 reveals a consistent focus on practical implementation challenges of optical networks-on-chip. His research has evolved from foundational topology design (Light, 2021) to increasingly sophisticated solutions addressing reliability (LightR, 2023) and comprehensive system integration (ToPro+, 2025). The work demonstrates strong collaboration with researchers including Mengchu Li, Tsun-Ming Tseng, and Ulf Schlichtmann across multiple high-impact venues including DAC, DATE, ICCAD, and ASP-DAC. Zheng actively contributes to the Electronic Design Automation research group at TUM, participating in projects related to analog EDA, emerging technologies, and optical networks. His research is situated within TUM's broader initiatives in photonic integration and high-performance computing architectures, working closely with Prof. Schlichtmann's team on funded projects in the optical NoC domain.

• Quantum Key Distribution (QKD)
• Optical Networking
• Network Planning and Optimization
• +4 more

Mario Wenning is a Researcher at the Chair of Communication Networks (Technical University of Munich). He holds an M.Sc. in Communication Engineering from TUM (2020) and works as an external doctoral candidate while employed in ADVA's Advanced Technology group. B.Eng. in Medical Engineering from Baden-Württemberg Cooperative State University (2017) 2 years with Siemens Healthineers in MRI development Doctoral research at TUM since 2021 His research focuses on quantum key distribution networks , optical network planning , and data-driven network optimization . Key projects include: Quantum network management with dynamic routing Physical-layer-aware multi-band optical planning Long-haul QKD infrastructure development Recent publications in Journal of Optical Communications and Networking (2023-2025) address: QKD network security models Meshed network architecture Rate-adaptive transceiver optimization Trusted node deployment strategies Associated with multiple research initiatives: 6G Future Lab Bavaria DFG-funded projects (QCDE, SDN APP AWARE) EU 5GPPP VirtuWind BMBF SoftwareCampus program

• Quantum Information
• Quantum Computing
• Quantum Communication
• +5 more

Dr. Shahram Dehdashti is a researcher at the Chair of Theoretical Information Technology (Lehrstuhl für Theoretische Informationstechnik) at the Technical University of Munich (TUM), working under Prof. Boche. His research spans quantum information science, quantum communication, and quantum machine learning, with significant contributions to theoretical frameworks for future quantum networks and practical implementations in optical systems. His primary research domains include: Quantum Information and Communication Quantum Computing Algorithms Quantum Machine Learning Quantum Optics and Photonics Metamaterials and Transformation Optics Quantum Cognition He investigates quantum channel capacities, quantum-classical signal co-propagation, and quantum-enhanced feature spaces, while uniquely applying quantum probability models to cognitive decision-making processes. Analysis of his 2020-2025 publications reveals accelerating convergence between quantum computing and artificial intelligence, particularly in quantum federated learning for edge devices and quantum-inspired sentiment analysis. His work consistently bridges theoretical quantum information with practical optical implementations, while maintaining distinctive contributions to quantum cognition through experimental protocols for decision modeling. No scientific awards were documented in the source material. There is no evidence of student supervision or grant funding in the available information. Dr. Dehdashti operates within TUM's Chair of Theoretical Information Technology, which focuses on fundamental quantum information processing and theoretical aspects of next-generation communication systems.

• Electronic Design Automation
• Optical Networks-on-Chip
• Wavelength-Routed Networks
• +3 more

Liaoyuan Cheng is a Researcher at the Chair of Design Automation, Technical University of Munich, focusing on Electronic Design Automation and Optical Networks-on-Chip. His work centers on wavelength-routed optical networks, with an emphasis on bandwidth allocation, fault detection, thermal variation, and design optimization. Published 8 peer-reviewed articles in top-tier venues (IEEE/ACM ICCAD, DAC, GLSVLSI, ASP-DAC) between 2024-2025 Key research topics include fault detection in optical NoC, process variation-aware design, thermal management, and resource allocation Collaborated with Prof. Ulf Schlichtmann and other researchers like Zhidan Zheng and Tsun-Ming Tseng

• Optical Networks-on-Chip
• Electronic Design Automation
• Wavelength-Routed Optical Networks
• +3 more

Dr. Alexandre Truppel is a researcher at the Chair of Electronic Design Automation, Technical University of Munich (TUM), working under Prof. Ulf Schlichtmann. His affiliation spans the university's core engineering research units, focusing on advanced methodologies for integrated circuit design and photonic interconnect systems within the Department of Electrical and Computer Engineering framework. Truppel's research centers on Optical Networks-on-Chip (ONoC) and Wavelength-Routed Architectures , with deep specialization in crosstalk modeling, bandwidth optimization, and physical layout co-design. His work addresses critical bottlenecks in on-chip communication through algorithmic innovations like Pareto simulated annealing, significantly advancing signal integrity and power efficiency in photonic interconnects for high-performance computing. Analysis of his 2019-2025 publications reveals a cohesive trajectory from foundational PSION topology optimization (2019) to sophisticated multi-objective frameworks (2025), consistently targeting laser power reduction and crosstalk mitigation. The research demonstrates escalating methodological rigor while maintaining focus on practical EDA implementation for next-generation optical NoCs. As part of TUM's Chair of Electronic Design Automation, Truppel operates within a high-impact research ecosystem specializing in analog/mixed-signal EDA, neural network accelerators, and emerging microfabrication technologies. The group's collaborative environment drives innovation in optical interconnects through funded projects and industry partnerships, positioning Truppel's work at the forefront of photonic integration challenges.

Ulf SchlichtmannView profile

Professor

• Electronic Design Automation
• Integrated Circuit Design
• Microfluidics
• +2 more

Professor Ulf Schlichtmann holds the Chair of Design Automation at Technische Universität München's School of Computation, Information and Technology. His research specializes in electronic design automation (EDA) methodologies for complex integrated circuits, with recent focus on optical networks-on-chip, microfluidic biochips, and neuromorphic computing architectures. Research interests span hardware design automation, photonic network optimization, fault-tolerant systems, and AI-assisted hardware generation. Recent innovations include wavelength-routed optical NoCs, 3D-printed microfluidics, and LLM-enhanced HDL design tools that advance hardware efficiency and reliability. Publications demonstrate consistent breakthroughs in cross-domain optimization, with applications spanning from high-performance computing to biomedical microdevices. Laboratory leadership includes coordination of international degree programs and industry collaborations.

• Flow-Aware Networking
• Optical Networks
• Network Resilience
• +5 more

Andrzej Jajszczyk is a prominent researcher in telecommunications and computer networks, with extensive contributions spanning Flow-Aware Networking, optical networks, resilience mechanisms, and Quality of Service (QoS) architectures. His work frequently appears in IEEE publications and conference proceedings, reflecting his active role in advancing network technologies. Research Focus: Jajszczyk's primary interests include congestion control algorithms, network reliability frameworks, and traffic management in Flow-Aware Networks. Recent work explores nanocommunications (FRET-based signaling) and energy-efficient cloud-fog interplay. His research consistently addresses both theoretical models and practical implementations in optical and software-defined networks. Publication Trends: Analysis of his 15 most recent articles reveals strong emphasis on: (1) Optimization of optical routing and spectrum allocation, (2) Nanoscale communication systems for biomedical applications, (3) Congestion mitigation in flow-oriented architectures, and (4) Energy-aware network resource provisioning. The work demonstrates consistent innovation in network resilience and QoS frameworks since the early 2000s. Awards & Recognition: No specific scientific awards or fellowships are documented in the provided text. Academic Leadership: Jajszczyk has edited IEEE Communications Magazine features and co-authored comprehensive books like Guide to Flow-Aware Networking . While student advisees aren't listed, his frequent collaborations (e.g., with Domżał, Wójcik) suggest mentorship roles.

• Electronic Design Automation
• Microfluidics
• Inkjet-Printed Electronics
• +3 more

Meng Lian serves as a Researcher at the Technical University of Munich's Chair of Electronic Design Automation within the TUM School of Computation, Information and Technology. Affiliated with the Department of Computer Engineering, their work bridges electronic design methodologies with emerging applications in printed electronics and microfluidics. Research interests span multiple cutting-edge domains: Electronic Design Automation for manufacturing optimization Microfluidic biochip design and scheduling Optical Networks-on-Chip topology construction Reliability analysis using machine learning models Recent publications (2021-2025) demonstrate strong output in IEEE TCAD and ACM venues, focusing on practical optimization techniques that reduce manufacturing cycle times by 15-25% across multiple application domains. The work shows particular strength in translating theoretical algorithms into implementable design automation solutions. Meng Lian actively collaborates within TUM's research ecosystem, contributing to funded projects in emerging electronic design methodologies while maintaining strong industry-relevant output in high-impact journals and conferences.

• Converged optical access networks
• Network planning and resilience
• Dependable virtualized networks
• +3 more

Carmen Mas Machuca is an Adjunct Teaching Professor at the Chair of Communication Networks at Technical University of Munich (TUM), Germany. She holds a Dipl.-Ing. from Universitat Politècnica de Catalunya (1996), a Dr.-Ing. from École polytechnique fédérale de Lausanne (2000), and a Habilitation from TUM (2017). As an IEEE Senior member, her research focuses on converged optical access networks, network resilience, quantum communication systems, and techno-economic analysis. Affiliations: Chair of Communication Networks (Prof. Kellerer), TUM Munich Current Projects: BMBF OptiCON, DFG Software Dependability, AI-NET ANTILLAS, 6G Future Lab Bavaria Her research emphasizes dependable virtualized networks and has contributed to projects like EU 5GPPP VirtuWind, HARMONICS, and OASE. She co-chairs major conferences (ICIN 2024, ONDM 2023) and serves as guest editor for IEEE Transactions on Network and Service Management. Key research areas include quantum key distribution networks, railway communication systems, and network sovereignty metrics. She advises PhD candidates on topics like optical access planning and network reliability, and leads labs such as the FlexComNetsLab. Her work bridges theoretical network design with practical implementation, including tools like SDR-MDNet for multi-domain routing and PyRBD for reliability analysis.