Dr. Emanuele Pelucchi is a Research Professor and Head of the Epitaxy and Physics of Nanostructures (EPN) group at Tyndall National Institute, University College Cork. His research focuses on quantum technologies, epitaxial growth (MBE/MOVPE), quantum dot physics, and photonic integration. He leads a world-class MOVPE facility, pioneering developments in site-controlled quantum dots and entangled photon emitters. Pelucchi's work has resulted in over 129 international publications with an h-index of 28 (Scholar), including contributions to Nature Photonics and NanoLetters. He has held a Science Foundation Ireland Principal Investigator grant since 2006, establishing his group at Tyndall in 2007. His expertise spans semiconductor nanostructures, including III-V materials and quantum optics. Pelucchi actively reviews for top journals and chairs international conferences, contributing to the field's academic discourse. His MOVPE laboratory is recognized as a key resource for III-V materials, serving as a secondary supplier to the UK National Centre for III-V Materials. Pelucchi's research bridges fundamental physics and applied photonics, driving advancements in quantum information processing and optoelectronic devices.
Dimitris Mitropoulos is an Assistant Professor at the National and Kapodistrian University of Athens (NKUA) in the Department of Business Administration, where he teaches courses on Distributed Ledger Technologies, Data Security and Privacy, Algorithms and Business Analytics, and Introduction to Programming. He also serves as Head of the Reliability Engineering Directorate at the National Infrastructures for Research and Technology (GRNET), Greece's national research and education network organization. Previously, he was a Postdoctoral Researcher in the Computer Science Department at Columbia University. Dr. Mitropoulos received his Ph.D. degree in Secure Software Development Technologies from the Athens University of Economics and Business (AUEB) in 2014. His doctoral research was supported by the Heracleitus II Scholarship, co-financed by the European Union and Greek national funds. He is a member of prestigious professional organizations including ACM, IEEE, and USENIX. Dr. Mitropoulos conducts pioneering research at the intersection of software engineering and cybersecurity, with particular expertise in secure software development, vulnerability analysis, and blockchain security. His work spans multiple dimensions of software security including code injection attacks, infrastructure as code security, smart contract analysis, and dependency management in software ecosystems. His research methodology combines static and dynamic analysis techniques with empirical studies of real-world software systems, particularly focusing on Java, Python, and Solidity ecosystems. His recent work has made significant contributions to understanding security vulnerabilities in modern software development practices and infrastructure management. Dr. Mitropoulos has received numerous prestigious awards for his research contributions, including the Research Excellence Award from NKUA (2025), Distinguished Paper and Artifact Awards at PLDI '22, Best Data Showcase Award at MSR 2018, and multiple postdoctoral research funding scholarships. His work on "Finding typing compiler bugs" was recognized with both Distinguished Paper and Artifact Awards at PLDI '22, highlighting the significance and reproducibility of his research. He has also received recognition for his service to the academic community, including a Certificate of Appreciation from ESEC/FSE '21 for his contributions to conference organization. Dr. Mitropoulos has been actively involved in securing research funding and leading significant research projects. He currently serves as Principal Investigator for the SecOPERA project (2023-Today), funded by the European Commission under Horizon Europe. Previously, he contributed to several major EU and US-funded projects including eSSIF-Lab (2019-2022), FASTEN (2019-2022), PRIViLEDGE (2018-2021), CERTCOOP (2017-2020), PANORAMIX (2016-2019), and TREDISEC (2016-2018). His research has been supported by diverse funding sources including the European Commission's Horizon 2020 program, the National Science Foundation, and the Defense Advanced Research Projects Agency (DARPA). Dr. Mitropoulos plays an active role in the international research community through various leadership positions. He serves on program committees for top-tier conferences including OOPSLA (2026), ICSE (2026), ESEC/FSE (2025), and ISSTA (2025). He has previously served as Workshop Co-Chair for ISSTA 2025 and Student Volunteer Chair for ESEC/FSE 2021. His contributions to mentoring the next generation of researchers include serving as a mentor for the ICSE Student Mentoring Workshop (2022) and supervising Google Summer of Code projects (2017).
Chigo M. Okonkwo is a Full Professor and Chair of Secured Ultra High Capacity Transmission at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). He leads the high-capacity optical transmission laboratory within the Electro-Optical Communications Group at the Institute for Photonics Integration, focusing on next-generation photonic networks. Education: PhD in Optical Signal Processing, University of Essex (2009) Appointments: Since 2014 (tenured), 2010 as Post-Doctoral Researcher Key Research Areas: Space Division Multiplexing, Quantum Secure Communications, Advanced Modulation Formats His work spans optical transmission systems, including probabilistic signal shaping , low-complexity digital signal processing , and multi-mode/multi-core fiber components . Recent publications highlight breakthroughs in Petabit/s transmission and quantum cryptography use cases . Scientific recognition includes: ACP 2018 Best Paper Award ECOC 2018 Student Paper Award Optica 2022 Student Paper Awards Corning Outstanding Student Paper Competition Finalist 2025 He actively contributes to standardization efforts as a Technical Program Committee member for ECOC and serves as Senior Member of IEEE. Current projects include FIQCS (Fieldlab Quantum Cryptography Solutions) and NGF-ECO1 (Netherlands Quantum Flagship), advancing quantum-secure protocols and petabit/s capacity scaling.
Associate Professor Judy Hart is a materials scientist at the School of Materials Science & Engineering, UNSW Sydney , specializing in the development of semiconducting materials for renewable energy applications. Her work integrates computational (DFT) and experimental approaches to understand composition-property relationships in systems like solid solutions , heterostructures , and doped materials for photocatalysis and solar cells . She leads projects funded by ARC Discovery and Linkage grants , including work on photo-electro-catalysis systems and stabilizing ceramic materials . Education: PhD in Materials Engineering (Monash University, 2007), BEng (Materials) (Monash, 2002) Professional Experience: Senior Lecturer (UNSW, 2017–), Lecturer (UNSW, 2013–2017), University of Bristol (2007–2012) Research Interests Her research focuses on designing materials for renewable energy , particularly photoelectrochemical water splitting and organic oxidation reactions . Key areas include Density Functional Theory (DFT) , defect engineering , band gap tuning , and nanostructured materials . She investigates ferroelectric polarization effects , metal oxide heterostructures , and stability of battery components , with applications in hydrogen production , CO2 conversion , and advanced battery materials . Scientific Awards Ramsay Memorial Fellowship (University of Bristol, 2007–2009) Teaching Contributions She is co-author of the 1st Australian & New Zealand edition of "Materials Science and Engineering: An Introduction" , and teaches courses on computational materials science , corrosion-resistant surfaces , mechanical behavior of metals , and materials design .
Dr. Gushu Li is an Assistant Professor at the University of Pennsylvania's School of Engineering and Applied Science, affiliated with the Computer and Information Science Department (primary) and Electrical and Systems Engineering Department (secondary). He leads the Penn Quantum System Lab, focusing on quantum computing software-hardware co-design. University: University of Pennsylvania School: School of Engineering and Applied Science Department: Computer and Information Science Academic Rank: Assistant Professor His research spans quantum compilers, programming languages, algorithm optimization, computer architecture, and electronic design automation. He develops techniques for quantum error correction verification, qubit mapping, and hybrid quantum-classical systems, with work integrated into IBM's Qiskit and Quantinuum's TKET frameworks. The 15 most recent publications highlight advancements in quantum simulation , bosonic quantum computing , fermion-to-qubit mapping , and NISQ-era architectures . Key methodologies include symbolic Hamiltonian compilation, adaptive tree structures, and runtime assertions for quantum program testing. 2024: NSF CAREER Award, NVIDIA Academic Grant Program Award, Intel Rising Star Faculty Award 2021-2022: QISE-NET Triplet Fellow, ACM SIGPLAN Distinguished Paper Award, multiple travel grants 2015-2017: Fellowships from UCSB, UChicago, and DAC Dr. Li advises four PhD students and actively recruits candidates with FPGA/digital design skills for 2025. His lab emphasizes interdisciplinary backgrounds to tackle quantum system challenges.
Sri AravindaKrishnan Thyagarajan is a Lecturer at The University of Sydney's School of Computer Science, specializing in cryptography. He focuses on enhancing security and fairness in distributed systems, blockchains, and multi-party computations with applications in post-quantum cryptography. His work spans top-tier conferences like ACM CCS and IEEE SP. Education: B.Tech, Computer Science & Engineering, National Institute of Technology Trichy, India (2011–2015) M.Sc., Computer Science, Saarland University, Germany (2015–2016) Ph.D., Applied Cryptography, Friedrich Alexander Universität Erlangen-Nürnberg, Germany (2016–2021) Research Interests: Cryptography (classical and post-quantum), blockchain security, cryptocurrencies, fairness in multi-party computations, privacy-preserving protocols, and decentralized systems. Recent Articles: Focus on cryptographic protocols for blockchains, threshold cryptography, verifiable randomness, and secure atomic swaps. Recent work includes advancements in post-quantum signatures, distributed randomness generation, and privacy-preserving payment systems. Awards: Nominated for GI Dissertationspreis 2021 Advising & Grants: Advising Ankit Kapoor. Active in program committees for CCS, IEEE SP, and FC. Currently Program Chair for Crypto Valley Conference 2025. Labs/Teams: Part of the Sydney Blockchain Centre and cybersecurity cluster at the University of Sydney. Collaborates globally with institutions like NTT Research, Carnegie Mellon University, and Bocconi University.
Dr. Yasir Noori is a Lecturer in the School of Electronics and Computer Science at the University of Southampton. His research focuses on 2D materials, electrochemical deposition, quantum information, and integrated photonics. He leads a team of PhD researchers and has contributed to a £1.5m EPSRC project as a Co-Investigator. Education: PhD in Integrated Photonics and Quantum Communications (2017, Lancaster University), BEng (Hons) in Electronic Engineering and Physics (2013, University of Dundee). Awards include the Dean’s Award for early career researchers and IOP Philip-Buckle Science Communication Award. Research Interests: Specializes in 2D material heterostructures, semiconductor fabrication, and quantum technologies. Active in EPSRC Peer Review College and serves as Academic Conduct Officer for his school. Publications: Over 15 peer-reviewed articles in high-impact journals like Nature Reviews Chemistry and ACS Applied Materials. Focused on electrodeposition techniques, nanofabrication, and optoelectronic device development. Awards: Multiple conference awards, including Best Poster recognitions at 2D TMDC and Optical Waveguide Theory conferences. Also holds the Three-Minutes Thesis Award from Lancaster University. Teaching: Instructs courses like Semiconductor Devices, Materials and Sensors (ELEC2230) and supervises MSc/BEng projects. Committed to fostering student research through collaborative projects. Labs & Teams: Directs a group including Shaokai Song, Hongwei Zhang, and Ismaeil Alnaab. Current opportunities available for PhD candidates interested in 2D materials and nanofabrication.
Vipul Goyal is an Associate Professor at the Computer Science Department of Carnegie Mellon University and a Senior Scientist at NTT Research in California. He is on leave from CMU since joining NTT Research in June 2020 after a 7-year tenure at Microsoft Research. His research focuses on Cryptography , Quantum Cryptography , Security & Privacy , and Theoretical Computer Science , supported by grants from NSF, DARPA, Department of Energy NETL, JP Morgan, Cisco, PNC, Ripple, and CyLab initiatives.
Martha Constantinou is an Associate Professor of Physics at Temple University, specializing in Theoretical/Computational Nuclear Physics with a focus on Lattice Quantum Chromodynamics (QCD). Her research addresses fundamental questions in hadron structure, including nucleon spin content and proton radius puzzles, leveraging supercomputing resources. She leads a group conducting advanced numerical simulations at major computational facilities. Constantinou holds a Ph.D. in Theoretical Computational Physics (University of Cyprus, 2008) and a BS in Physics (University of Cyprus, 2003). Her work aligns with the upcoming Electron-Ion Collider (EIC) at Brookhaven National Lab, aiming to explore nucleon structure and dark matter connections. Key research areas include generalized parton distributions (GPDs), axial form factors, and high-performance computing applications. Notable awards include the US Department of Energy Early Career Award (2019) and the Selma Lee Bloch Brown Professorship (2020). Her publications (15 most recent listed) emphasize Lattice QCD advancements, with contributions to GPDs, quark-gluon momentum partitioning, and EIC theory. She actively promotes STEM outreach and public engagement through collaborative initiatives.
Prof. Zheshen Zhang is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan College of Engineering . He leads the Quantum Engineering Lab , focusing on harnessing quantum mechanical resources like entanglement to advance sensing, communication, and computing systems. Academic Rank: Professor Institution: University of Michigan School: College of Engineering Department: Electrical and Computer Engineering Research Interests: His work spans quantum engineering, emphasizing: Quantum computing architectures using continuous-variable cluster states Quantum communication via entanglement-assisted protocols Quantum sensing for precision metrology and dark matter detection Hybrid photonic circuits with Scandium Aluminum Nitride and Silicon Nitride Application of machine learning to quantum information processing Publications Trends: Recent articles highlight: Advances in integrated photonics for scalable quantum devices Development of entanglement-enhanced sensors for covert and precision applications Exploration of exceptional points in optical cavities for metrology Quantum network prototypes enabling open-access quantum computing Machine learning integration with quantum data acquisition
Marco Canteri is a Researcher in the Department of Experimental Physics at the University of Innsbruck, Austria. He holds an MSc degree and contributes to quantum information science with a focus on trapped-ion systems for quantum computing and networking. His educational background includes a Master of Science degree. The specific institution is not provided in available sources. Canteri's research spans quantum networking, quantum communication, and quantum sensing using trapped ions. Key areas include ion-photon interfaces, quantum memory, entanglement distribution, and scalable quantum hardware. His work addresses challenges in noise resilience and long-distance quantum links through experimental implementations of multiqubit systems and telecom-wavelength interfaces. Analysis of his 12 recent publications (2020-2025) reveals consistent advancement in trapped-ion quantum technologies. Notable achievements include entanglement distribution over 101 kilometers, multimode quantum networking, and development of ten-qubit quantum registers. The research demonstrates strong interdisciplinary integration of atomic physics, quantum optics, and quantum information theory for practical quantum network applications. No scientific awards are listed in the available information. Information regarding students advised or research grants obtained by Marco Canteri is not provided in current sources. He operates within the quantum information research group of the Department of Experimental Physics, utilizing advanced laboratories equipped for trapped-ion quantum computing experiments including optical cavities, precision laser systems, and single-photon detection infrastructure under department head Hanns-Christoph Nägerl.
Christian Wald is a Post-doctoral researcher at Technical University Berlin working under Professor Gabriele Steidl, focusing on generative modeling, flow matching, and stochastic processes in machine learning. His research bridges theoretical probability with practical medical imaging applications, particularly in MRI reconstruction and analysis. He completed his PhD at Humboldt University of Berlin in 2017 with a thesis on p-adic quantum groups. His academic journey transitioned from pure mathematics to interdisciplinary machine learning research, reflecting his versatile expertise. Wald's primary research explores generative models through the lens of optimal transport and flow matching, with significant contributions to Wasserstein geometry and conditional distance metrics. His work frequently integrates stochastic processes to enhance medical image reconstruction, demonstrating strong cross-disciplinary impact in both theoretical machine learning and clinical applications. Recent publications highlight innovations in sliced MMD flows, Bayesian OT methods, and uncertainty-aware medical image analysis. Analysis of his 15 most recent publications (2019-2025) reveals a consistent trajectory toward unifying geometric probability with deep learning. Key themes include flow-based generative modeling for medical time-series data, optimal transport applications in image reconstruction, and novel kernel methods for distribution matching. His work spans both foundational theory (e.g., Fisher-Rao curves) and high-impact medical applications (e.g., coronary calcium scoring). No specific scientific awards are documented in the provided text, though his publications appear in prestigious venues including ICLR, IEEE TMI, and Physics in Medicine & Biology. Wald maintains extensive collaborations with the medical imaging group at Technical University Berlin, particularly with Andreas Kofler and Gabriele Steidl. His co-authored works demonstrate consistent contributions to MRI reconstruction pipelines and segmentation frameworks, though no formal advising roles or grant leadership are indicated. Current projects focus on uncertainty quantification in active learning for medical image segmentation. He operates within Gabriele Steidl's research group at Technical University Berlin, which specializes in mathematical imaging and machine learning. The team combines expertise in optimization, probability theory, and deep learning to solve medical imaging challenges, with Wald contributing core algorithmic innovations in generative modeling and stochastic reconstruction.
Shahid Raza is a Professor of Cybersecurity at the University of Glasgow's School of Computing Science. He previously led the RISE Cybersecurity Unit in Sweden, establishing it as a leading research group. His expertise spans IoT Security, PKI, AI-driven cybersecurity solutions, and hardware/data security. Raza holds a PhD and Docentship from Uppsala University, alongside a Bachelor's with a Gold Medal for academic excellence. Education: B.Sc. (Computer Science, 3.99/4.0 CGPA, Gold Medal), Licentiate, PhD, and Docentship in Cybersecurity from Sweden. He leads EU-funded projects like H2020 CONCORDIA and Horizon Europe CUSTODES, coordinating initiatives such as the Cyber Node and Cyber Range. Active in cybersecurity policy, he serves on the EU SCCG, ECSO, and EARTO Security & Defence Research working groups. Research Interests Public Key Infrastructure (PKI) for IoT AIAgent-Driven Cybersecurity Solutions IoT Certification Standards Hardware Security for Low-Power Devices Grants & Projects Coordinator: Horizon Europe CUSTODES Technical Leader: H2020 Arcadian-IoT Founder: RISE Cyber Range (Sweden's largest cybersecurity test facility) Awards & Memberships IEEE Senior Member Gold Medal for Academic Excellence (Bachelor's)
Lukas Seitner is a researcher at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Electrical Engineering. He operates within the Associate Professorship of Computational Photonics led by Prof. Christian Jirauschek, focusing on advanced modeling of quantum cascade devices and terahertz photonics systems. His research spans quantum cascade lasers (QCLs), terahertz frequency combs, optical solitons, and computational photonics. Seitner has developed sophisticated simulation frameworks including Maxwell-Bloch and density matrix approaches to study nonlinear dynamics in optoelectronic devices. Key contributions involve passive mode-locking mechanisms in THz QCLs, graphene-integrated saturable absorbers for pulse generation, and backscattering effects in ring-cavity soliton formation. His work bridges theoretical modeling with practical device engineering for next-generation terahertz sources. As an educator, Seitner serves as assistant lecturer for multiple courses including Computational Photonics Laboratory (5 PR), Partial Differential Equations for Electrical Engineering (4 VI), and Simulation of Quantum Devices (4 VI). He actively participates in doctoral candidate seminars and specialized courses on quantum engineering, demonstrating strong commitment to academic training in photonics and quantum device physics. His teaching integrates cutting-edge research concepts into practical computational exercises. Seitner maintains active collaboration within the EU Project QOMBS and contributes to TUM's Computational Photonics group research infrastructure. His technical expertise encompasses numerical methods for partial differential equations, semiconductor device simulation, and nonlinear optical modeling. Current projects focus on optimizing THz comb sources for spectroscopic applications and extending quantum walk models for novel frequency comb generation mechanisms.
David W. Jacobs is a Professor in the Department of Computer Science at the University of Maryland, with a joint appointment in the University of Maryland Institute for Advanced Computer Studies (UMIACS). He holds a Ph.D. from MIT (1992) and has expertise in computer vision, machine learning, and deep learning. His research focuses on object recognition, lighting analysis, and applications like electronic field guides (e.g., Leafsnap and Birdsnap). He has been recognized with awards including the Honda Initiation Grant (2007) and the Edward O. Wilson Biodiversity Technology Pioneer Award (2011). Jacobs has taught courses such as CMSC 422 (Machine Learning) and CMSC 828L (Deep Learning), and advised multiple Ph.D. students. His work spans theoretical advancements and practical applications, including collaborations with institutions like the Smithsonian and Columbia University. Education: B.A. Yale, M.S./Ph.D. MIT Positions: Interim Director of UMIACS (2018), Program Co-Chair CVPR Key Projects: Leafsnap (1M+ downloads), Birdsnap Awards: CVPR Best Paper Honorable Mention (2000), Eurographics Best Paper (2016)
