Staircase codes Professors and Supervisors

Vincent Rocaمشاهده پروفایل

پژوهشگر

National Institute of Science and Technology (INSA)France

Vincent Roca is a permanent researcher at Inria , a French national research institute for digital science and technology. Since 2019, he leads the Privatics research team focusing on privacy, previously part of the Planete team (2000-2012) for Internet protocols and applications. His work spans Privacy in smartphones, IoT, and web browsers Design of the ROBERT and CLEA protocols for the French TousAntiCovid app Standardization in IETF working groups, notably on FEC and network coding Co-author of Inria's cybersecurity white book (2019) Instructor of the popular Privacy in the digital world MOOC (14,006 participants) Research Interests include privacy risks in digital technologies, robust content distribution via FLUTE/ALC transport protocols and LDPC-Staircase FEC codes, and network coding for scalable services. His articles focus on privacy in LoRaWAN, contact tracing protocols, GDPR compliance, and FEC optimization. Scientific Awards include the Third Applied Research Price from FIEEC (2014) Knight Medal of the French Order of Merit (2020) Students supervised include PhD candidates in privacy-preserving IoT, secure authentication, and alumni like Samuel Pelissier (LoRaWAN privacy) and Michael Toth (GDPR compliance). Software Contributions include openfec.org (AL-FEC codes) and FLUTE/ALC implementations .

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Matthias Lehmannمشاهده پروفایل

استاد

University of ViennaAustria

Matthias Lehmann is University Professor (Univ.-Prof.) at the University of Vienna, Faculty of Law, and Director of the Institute for European, International and Comparative Law. He teaches and researches in private international law, international business law, financial-market regulation, and the law of digital assets and blockchain technology. Education & Degrees: Dr. iur., Germany DEA, Université Panthéon-Assas (Paris II), France LL.M., Columbia Law School, USA J.S.D., Columbia Law School, USA Research Focus: Lehmann’s recent work concentrates on the intersection of private international law and financial technology. Major projects include the EU’s Markets in Crypto-assets Regulation (MiCAR), uniform prospectus-liability rules, blockchain-based arbitration, and the treatment of digital assets in insolvency proceedings. He coordinates several edited volumes and commentaries, such as the Münchener Kommentar zum BGB capital-markets volume and the Austrian standard treatise Grundriss des Bank- und Kapitalmarktrechts . Teaching & Moot Court Activities: He offers courses on U.S. law introduction, international financial law, comparative law, private international law, banking & capital-markets law, and runs the Willem C. Vis Moot as well as the PAX Moot Court on international civil procedure and private international law. Team & Supervision: Lehmann currently supervises six university assistants (prae- and post-doc) working on arbitration, banking-union completion, crypto-asset regulation, and comparative procedure. Former team members are listed as alumni without indication of emeritus status. Scientific Awards: No specific prizes or fellowships are mentioned in the supplied text. Contact & Office: Juridicum, Schottenbastei 10–16, Staircase I, 5th floor, Room 512, 1010 Vienna, Austria; phone +43 1 4277 35122; email matthias.lehmann@univie.ac.at.

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Kirti Ruikarمشاهده پروفایل

دانشیار

Loughborough UniversityUnited Kingdom

Dr. Kirti Ruikar is a Reader in Digital Construction with 19 years of experience, specializing in applying digital technologies like BIM and AI to enhance safety, resilience, and performance in construction and infrastructure projects. She holds a BArch, MSc, and EngD, and is a Fellow of the Higher Education Academy (FHEA). As a University Special Envoy for India, she bridges international collaborations. Her research focuses on BIM integration for site safety and sustainability, Data-driven solutions for infrastructure projects, AI applications in construction safety, Public-Private Partnerships in developing countries, Enterprise systems optimization, and policy interventions in roadworks management. Notable projects include Data Lakes for Indian highways (collaboration with IIT Delhi), BIM-based safety frameworks for staircases and ladders, Social network analysis for knowledge management, and FCDO-funded automated construction safety systems. Her work spans over 150 publications, including 3 books and 50 journal papers, with a strong emphasis on Q1 journals. She has secured £1m+ in funding from Innovate UK, EPSRC, and international bodies. Collaborations include Asite, Arup, and Derby City Council. Her research outputs highlight trends in Industry 4.0 adoption, AI-driven safety systems, and leveraging data lakes for infrastructure resilience. She advocates for ethical innovation and cross-disciplinary collaboration to address global construction challenges.

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André Borrmannمشاهده پروفایل

استاد

Technical University of MunichGermany

Artificial Intelligence
Building Information Modeling & Processing
Digital Twinning
+۷ مورد دیگر

Prof. Dr.-Ing. André Borrmann is an academic leader at the Technical University of Munich (TUM) , where he has headed the Chair of Computing in Civil and Building Engineering since 2011 (formerly Computational Modeling and Simulation). He serves as Director of the TUM Georg Nemetschek Institute - AI for the Built World since 2025 and Spokesperson for the Leonhard Obermeyer Center since 2013. Research Interests Artificial Intelligence in Civil Engineering Digital Twinning Building Information Modeling (BIM) Pedestrian Dynamics Knowledge Representation Construction Simulation His work focuses on AI application across the built environment lifecycle - from generative design to maintenance prediction - with significant contributions to BIM standardization and buildingSMART International IFC extensions. He co-authored the German Ministry of Transport BIM Roadmap and led the BIM4INFRA2020 project. Awards include the 2024 Konrad Zuse Medal and multiple best paper awards at international conferences.

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Song Weiguoمشاهده پروفایل

استاد

University of Science and Technology of ChinaChina

Pedestrian and evacuation dynamics
Self-organized criticality of fire system
Performance-based fire protection design of buildings
+۳ مورد دیگر

Professor Song Weiguo serves as a full-time faculty member at the State Key Laboratory of Fire Science, University of Science and Technology of China (USTC) in Hefei, where he has held a Professorship since 2010 following his Associate Professorship (2003-2010) and postdoctoral fellowship at USTC's Department of Statistics and Finance (2001-2003). His international research experience includes a Guest Researcher position at the U.S. National Institute of Standards and Technology (NIST) during 2006-2007. His educational foundation comprises a PhD from USTC (2001) and specialized postdoctoral training in statistical finance. Research interests focus on pedestrian evacuation dynamics, fire system criticality, performance-based building fire protection, and remote sensing fire monitoring, with particular emphasis on complex systems modeling of crowd behaviors and fire spread phenomena. Analysis of his 2007-2011 publications reveals a dominant trend in microscopic pedestrian dynamics (60% of works), especially bottleneck flow, counter-flow, and exit selection behaviors, complemented by fire monitoring via remote sensing (22%) and weather-fire interaction modeling (18%). This portfolio demonstrates rigorous integration of experimental validation with computational modeling across fire safety disciplines. His scientific recognition includes: Huaxia Construction Award for Science and Technology (First-class, 2010) Lu Jia Xi Youth Excellence Prize (Chinese Academy of Sciences, 2009) National Liangxi Forestry Science and Technology Progress Award (Second-class, 2007) National Science and Technology Progress Award (Second-class, 2006) Chinese Academy of Sciences President Award Excellence (2001) Professor Song has secured significant research funding as principal investigator for three National Natural Science Foundation projects, three National Key Technologies R&D Program grants, and additional awards from the Ministry of Science and Technology and Ministry of Education. His role as Communication Expert for China's National Natural Science Foundation and reviewer for top journals like IEEE Transactions on Intelligent Transportation Systems reflects his leadership in fire safety science. Current projects likely involve mentoring graduate students through USTC's laboratory infrastructure. He remains actively engaged at USTC's State Key Laboratory of Fire Science, which serves as China's primary hub for interdisciplinary fire research, collaborating with international bodies like the International Association of Fire Safety Science while advancing evacuation modeling and fire monitoring technologies.

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Elke Hornoffمشاهده پروفایل

مدرس

Osnabrück University of Applied SciencesGermany

Elke Hornoff is a faculty member at the Faculty of Agricultural Sciences and Landscape Architecture at Osnabrück University of Applied Sciences. Her work focuses on structural and landscape construction, with an emphasis on sustainable materials and design techniques. Department: Structural Engineering | Building Construction | Landscape Construction Email: e.hornoff@hs-osnabrueck.de Her research interests revolve around the application of traditional and innovative construction materials in landscape architecture, including wood, metal, and concrete. She has contributed to publications on these topics and serves as a second examiner for numerous academic theses. Elke Hornoff has co-authored key publications such as Baustoffe im Garten- und Landschaftsbau (2023) and Bauzeichnen im GaLaBau (2016), which explore materials and drafting techniques in landscape construction. Her work often intersects with sustainable practices and climate adaptation in urban environments. She is actively involved in the Forschungsgesellschaft Landschaftsentwicklung Landschaftsbau (FLL) and has contributed to standards for gabion structures, wooden construction in landscaping, and corrosion-resistant steel applications.

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Simona Samardjiskaمشاهده پروفایل

استادیار

Radboud UniversityNetherlands

Simona Samardjiska is an Assistant Professor in the Digital Security Group at Radboud University, The Netherlands, since 2017. Previously, she held an assistant professor position at the Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University, Skopje, Macedonia (2015–2017). She earned her PhD in Cryptography from the Norwegian University of Science and Technology (NTNU) in 2015, focusing on multivariate cryptography under Danilo Gligoroski. Her academic background includes a master’s degree in Computer Science and a diploma in Pure Mathematics from the Faculty of Natural Sciences and Mathematics, Skopje. Her research primarily revolves around post-quantum cryptography, including multivariate, code-based, and lattice-based systems, alongside symmetric cryptography and Boolean functions. Notable contributions include the MQDSS digital signature scheme (a NIST PQC candidate) and the MEDS submission to NIST’s round 3. She has published extensively in top venues like EUROCRYPT, ASIACRYPT, and IEEE Transactions. Samardjiska teaches courses such as Cryptology (NWI-IMC063), Applied Cryptography (NWI-IMC061), and Security (NWI-IPC021) at Radboud University. She actively participates in standardization efforts, conferences, and workshops, including organizing CrossFyre (EUROCRYPT 2021/2020) and serving on program committees for CBCrypto, CANS, and others. Her professional activities emphasize fostering diversity in computing and advancing cryptographic research.

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Frank R. Kschischangمشاهده پروفایل

استاد

Technical University of MunichGermany

Frank R. Kschischang is a Distinguished Professor of Digital Communication in the Department of Electrical and Computer Engineering at the University of Toronto. He holds the Canada Research Chair in Communications Algorithms and has been a faculty member since 1991. His research focuses on coding theory, digital communications, and information theory, with applications in optical, wireless, and fiber-optic systems. He is a Hans Fischer Senior Fellow at the Institute for Advanced Study (TUM-IAS), Technische Universität München, collaborating on advancing fiber-optic communication capabilities. Education: B.A.Sc. (University of British Columbia, 1985), M.A.Sc. and Ph.D. (University of Toronto, 1988 and 1991). He has held visiting roles at MIT (1997–1998) and ETH Zurich (2005). Academic roles include IEEE Information Theory Society President (2010) and editorial roles for the IEEE Transactions on Information Theory. Research emphasizes error-correcting codes, fiber-optic channel modeling, and nonlinear Fourier transform-based communication. Notable contributions include staircase codes for 100 Gb/s optical networks and rank-metric codes for network coding. His work has led to practical advancements in high-speed optical systems and improved channel capacity understanding. Awards include IEEE Fellow (2006), Killam Research Fellowship (2010), and multiple teaching and service awards. He advises numerous graduate students and collaborates internationally on projects like spectral modulation in fiber optics and machine learning for signal processing. Labs and teams: Leads the Coding and Information Theory group at UofT, focusing on cutting-edge research in communications algorithms and hardware implementation. Collaborates with industry partners like the Communications Research Centre Canada and Inphi Corp.

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Bin Chenمشاهده پروفایل

پژوهشگر

Eindhoven University of TechnologyNetherlands

Bin Chen is a researcher at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e), focusing on optical communications, signal processing, and information theory. He holds a PhD from University College Dublin (2015), supported by the China Scholarship Council and Science Foundation Ireland. His roles include Postdoc positions in the Signal Processing Systems (SPS) and Electro-Optical Communication Systems (ECO) groups at TU/e, and a current guest researcher affiliation. His research emphasizes geometric shaping, coded modulation, and nonlinear channel mitigation in optical systems. Education: B.Sc. Electronic Information Science and Technology, Hefei University of Technology (2010) Ph.D. Electronics and Communications Engineering, University College Dublin (2015) Affiliations: Signal Processing Systems Group (SPS) Electro-Optical Communication Systems (ECO) Group ICT Lab Research interests include optical communication systems, cooperative communications, channel coding, and network coding. Key achievements include over 60 peer-reviewed publications and awards such as the Asia Communications and Photonics Conference Best Paper Awards (2018, 2022). He has contributed to projects like PATRIOT (coded modulation optimization) and NLCAP (nonlinear capacity maximization in optical channels). Grants and collaborations span EU-funded initiatives and industry partnerships. His work on multidimensional constellations and fiber nonlinearity models has advanced long-haul transmission systems. Current projects explore neural network-based demappers and hybrid decoding techniques.

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Enrico Ronchiمشاهده پروفایل

مدرس ارشد

Lund UniversitySweden

Enrico Ronchi is a Senior Lecturer at the Division of Fire Safety Engineering, Lund University, with expertise in evacuation dynamics, fire safety, and traffic safety. His work intersects with UN Sustainable Development Goals through CASE – Centre for Ageing and Supportive Environments, focusing on safe building egress for aging populations. Active in wildfire evacuation research (2018 Mati case study) Collaborates on digital tools for firefighting and sound environments Recipient of Bigglestone, Jack Watts, and ITA-Cosuf Awards Research spans pedestrian modeling, virtual reality simulations, and smoke impact analysis on evacuation. His recent work includes wildfire drill data collection in Colorado and Greece, with emphasis on flow rates and immersed participant behavior. Scientific contributions appear in journals like Safety Science and Wood Material Science & Engineering , covering fire safety perception, egressibility metrics, and emergency response technologies. Supervised work includes 5 projects, with grants from FORMAS and National Research Council of Canada.

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Beatriz Gil Rodríguezمشاهده پروفایل

استاد

University of NavarraSpain

Beatriz Gil Rodríguez is a Full Professor at the University of Navarra's Higher Technical School of Architecture (ETSA), affiliated with the Department of Construction, Facilities and Structures. She leads research within the AADS (Automated Analysis and Design of Structures) group, focusing on structural engineering topics such as semi-rigid connections, steel joints, and fire safety in residential buildings. Research Interests: Steel and composite structural systems Semi-rigid connection mechanics Topological optimization of joints Fire safety strategies for elderly housing 3D modeling and experimental validation Load distribution in hybrid materials Publication Trends: Recent work emphasizes additive manufacturing in steel connections, torsional behavior of joints, and advanced modeling of semi-rigid systems. She combines experimental testing with finite element analysis to improve structural reliability and efficiency.

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Rawad Bitarمشاهده پروفایل

پژوهشگر

Technical University of MunichGermany

Rawad Bitar is a Research Group Leader at the Institute for Communications Engineering under the TUM School of Computation, Information and Technology . He holds a habilitation from TUM with mentors including Prof. Antonia Wachter-Zeh, Prof. Deniz Gündüz, and Prof. Sidharth Jaggi. His academic journey includes a Ph.D. in ECE from Rutgers University (2020), a master’s degree from the Lebanese University (2014), and an engineering degree from the Lebanese University (2013). Research Interests: Privacy and Security in Distributed Systems Byzantine-Resilient Federated Learning Private Distributed Computing DNA-Based Storage and Computing Insertion/Deletion-Correcting Codes Network Coding with Myopic Adversaries Adaptive Stochastic Gradient Descent Article Trends: His recent publications focus on federated learning, secure coded computing, and DNA-based storage. Key themes include Byzantine resilience, gradient compression, privacy-preserving algorithms, and code design for synchronization errors. Collaborations span institutions like Stanford, EPFL, and Aalto University, with applications in cloud computing, edge networks, and synthetic biology. Grants and Awards: DFG Grant for "Fundamentals of Coding and Information Theory for Edit Errors" (2025–2028) DFG Grant for "Private Secure and Efficient Codes for Distributed Machine Learning" (2023–2026) EuroTech Visiting Research Programme (2024, 2023) iDASH 2022: Second Place in Track 4: Secure Record Linkage Best Poster Award at Princeton Day of Optimization (2018) Teaching and Supervision: Rawad co-teaches advanced courses at TUM, including Coding for Trustworthy Distributed Learning and Coding Theory for Storage and Networks . He has supervised over 15 Ph.D. and Master's students, including Sena Ergisi , Yue Xia , and Luis Maßny , often in collaboration with leading researchers like Prof. Antonia Wachter-Zeh. Collaborations and Service: Active in workshops and conferences, Rawad co-organized events such as the 2025 Workshop on Distributed Computing, Optimization and Learning (WDCL) and the 2024 Dagstuhl Seminar on Coding for Synthetic Biology . His collaborators include Prof. Mary Wootters (Stanford) and Dr. Andreas Lenz (formerly TUM).

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Frank R. Kschischangمشاهده پروفایل

استاد

University of TorontoCanada

Frank R. Kschischang is a Distinguished Professor of Digital Communication in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, where he has been a faculty member since 1991. He also served as the Associate Chair for Graduate Studies from 2015 to 2018, and is a registered Professional Engineer in Ontario, Canada. Education: B.A.Sc. (Honours) in Electrical Engineering, University of British Columbia, 1985 M.A.Sc. in Electrical Engineering, University of Toronto, 1988 Ph.D. in Electrical Engineering, University of Toronto, 1991 Research Interests: Professor Kschischang’s research is centered on channel coding techniques and their application to wireline , wireless , and optical communication systems . His work spans error-correcting codes , LDPC codes , network coding , and iterative decoding algorithms . He has contributed foundational results in factor graphs , staircase codes , and nonlinear Fourier transform-based communication . Scientific Awards: IEEE Fellow (2006) Fellow of the Royal Society of Canada (2012) Fellow of the Canadian Academy of Engineering (2018) Canada Research Chair (Tier I, 2001–renewed 2008) Killam Research Fellow (2010) IEEE Information Theory Society Paper Award (2018) IEEE Communications Society & IT Society Joint Paper Award (2010) Canadian Award in Telecommunications Research (2012) University of Toronto Distinguished Professor of Digital Communication (2015) Aaron D. Wyner Distinguished Service Award, IEEE ITSoc (2016) Advising & Grants: Professor Kschischang has supervised a large cohort of graduate students and postdoctoral fellows. His recent PhD graduates include Masoud Barakatain, Lei M. Zhang, Christopher G. Blake, Siddarth Hari, and Siyu Liu. Current and former group members are actively supported by NSERC, Canada Foundation for Innovation, and industrial partners. Labs & Teams: He leads an active research group within the Communications Group at the University of Toronto. The group focuses on theoretical and experimental aspects of coding and communication, with strong ties to the Optical Networks Laboratory and Institute for Optical Sciences . The lab maintains open-source software tools such as ZipperSim and ZMG for research and education.

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Alireza Sheikhمشاهده پروفایل

پژوهشگر

Eindhoven University of TechnologyNetherlands

Alireza Sheikh is a University Researcher in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), specializing in Signal Processing Systems. He is affiliated with the ICT Lab at TU/e and has been actively involved in research projects such as FUN-NOTCH: Fundamentals of the Nonlinear Optical Channel. Dr. Sheikh received his B.Sc. (Hons.) degree in electrical engineering from Ferdowsi University of Mashhad, Iran, in 2011, his M.Sc. (Hons.) degree in communication systems engineering from the University of Tehran, Iran, in 2014, and his Ph.D. degree in electrical engineering from Chalmers University of Technology, Sweden, in 2019. Prior to joining TU/e, he was a visiting researcher at the Institute of Communications and Navigation, German Aerospace Center (DLR), Germany, in 2017-2018. Dr. Sheikh's research focuses on communication systems with particular emphasis on data protection and efficient communication. His primary research interests include channel coding , optical communication , wireless communication , information theory , machine learning , and estimation theory . He is particularly interested in designing low-complexity coding schemes for next-generation communication systems that can protect data against imperfections. His recent publications demonstrate a strong focus on improving communication systems through advanced coding techniques and signal processing methods. His work spans optical communications (addressing nonlinearity issues), wireless communications (particularly Massive MIMO systems), and fundamental information theory problems. A common thread in his research is the development of practical, high-throughput solutions for real-world communication challenges, with significant contributions to product codes, error correction, and nonlinearity-tolerant communication schemes. Dr. Sheikh has contributed to significant research projects, most notably as a project member of FUN-NOTCH (Fundamentals of the Nonlinear Optical Channel), which runs from 2018 to 2025. This project focuses on addressing challenges in optical communications, particularly related to nonlinearity, modulation formats, and product codes. He is actively involved in teaching, specifically in the course "Applications of Information Theory (5LSF0)" at TU/e, demonstrating his commitment to sharing knowledge with the next generation of engineers and researchers.

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