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Wim CasteelsView profile

Lecturer

• Data Science
• Machine Learning
• Artificial Intelligence
• +4 more

Wim Casteels is a Lecturer and researcher at AP University College, specializing in AI and data science. He transitioned from quantum physics research at the University of Antwerp and Paris to roles in data science at Argenta's Data Analytics Office and imec's IDLab research group. His work focuses on applying AI to education, transportation, and environmental monitoring. He leads projects like AI4UX (user pattern detection), LAP! (learning analytics dashboards), and AI4Care (AI for youth care support). Education: PhD in Physics (University of Antwerp), followed by postdoctoral research on quantum systems in Antwerp and Paris. Transitioned to data science roles in industry and academia. Research Interests: Machine Learning, Deep Learning, Learning Analytics, and AI applications in education and transportation. Projects include developing AI-driven road weather models using vehicle sensor data, predictive student success models, and energy-efficient building control systems. His work emphasizes ethical AI implementation and data-driven decision-making. Key Projects: AI4UX (2023–2025), AHUMAIN (2023–2025), LAP! (2019–2023), and AI4Care (2024–2026). His research is supported by grants like the Industrial Research Fund. Labs/Teams: Part of AP University College's Media, Design and IT Knowledge Center, previously affiliated with imec's IDLab group and Argenta's Data Analytics Office.

Michiel BakkerView profile

Assistant Professor

• Large Language Models
• AI Safety
• Societal Impacts of AI
• +3 more

Michiel Bakker is an Assistant Professor at MIT with appointments in the Institute for Data, Systems, and Society (IDSS), the Sloan School of Management, and the Center for Constructive Communication (CCC) in the MIT Media Lab. He also serves as a Senior Research Scientist at Google DeepMind. His research focuses on large language models (LLMs), AI safety, and societal impacts of AI, particularly in human-AI interaction and collective decision-making. Education: PhD in Computer Science (MIT, advised by Alex Pentland), M.Sc. and B.Sc. in Physics (TU Delft, with quantum computing research at QuTech and IBM Quantum). Entrepreneurial ventures include co-founding Bloomon and Lamudi Myanmar. Research interests include LLM applications, ethical AI, fairness in decision systems, and AI-driven consensus-building. Recent work explores AI's role in conflict resolution (e.g., Israeli-Palestinian peacebuilders) and democratic deliberation. His publications span machine learning, ethics, and social science, with contributions to NeurIPS, AIES, and Nature journals. Advising: Open to mentoring students. Grants and collaborations include MIT Media Lab projects and Google DeepMind initiatives. Labs/Teams: Active in MIT Media Lab's CCC, IDSS, and DeepMind's AI safety team. Research emphasizes bridging technical AI advancements with societal needs.

• Quantum algorithms
• Quantum computational complexity
• Classical information theory
• +3 more

Penghui Yao is a Professor in the Department of Computer Science and Technology at Nanjing University, where he is a member of the CS Theory group. His academic career spans prestigious institutions including the Centre for Quantum Technologies at National University of Singapore, Centrum Wiskunde Informatica (CWI), Institute for Quantum Computing (IQC) at University of Waterloo, and Joint Center for Quantum Information and Computer Science (QuICS) at University of Maryland. Education: BSc in Mathematics from East China Normal University PhD from Centre for Quantum Technologies, National University of Singapore (supervised by Rahul Jain and Miklos Santha) Professor Yao's research focuses on quantum computing and theoretical computer science, with particular expertise in quantum algorithms and computational complexity. His work bridges classical and quantum information theory, with significant contributions to analysis of Boolean functions and their quantum applications. He has developed novel approaches to communication complexity problems in both classical and quantum settings, advancing our understanding of the fundamental limits of computation. His recent publications reveal a strong trend toward practical quantum algorithms with applications in distributed systems, quantum simulation, and quantum cryptography. The breadth of his work spans from theoretical foundations of quantum complexity classes to experimental implementations of quantum processes, demonstrating both depth in theoretical understanding and relevance to practical quantum computing challenges. Professor Yao actively mentors the next generation of quantum computing researchers, supervising multiple PhD and Master's students at Nanjing University while maintaining collaborations with international research groups. His service to the community includes program committee roles for major quantum computing conferences including QIP and TQC.

Christian MendlView profile

Assistant Professor

• Quantum Computing
• Computational Physics
• Statistical Physics
• +2 more

Christian Mendl is a Rudolf Mößbauer Tenure Track Assistant Professor at the Technical University of Munich (TUM) , affiliated with the School of Computation, Information and Technology and the Institute for Advanced Study (TUM-IAS) . His career includes a postdoctoral position at Stanford University (2015-2017) under a Feodor Lynen Fellowship from the Alexander von Humboldt Foundation, a Junior Professorship at TU Dresden (2017-2019), and a PhD in Physics from LMU Munich (2012). Education : Physics and Mathematics (TUM) Appointments : Rudolf Mößbauer Assistant Professor (TUM, 2019), Junior Professor (TU Dresden, 2017), Postdoc (Stanford, 2015-2017) Research Focus : Mendl specializes in Quantum Computing , Computational Physics (tensor networks, quantum Monte Carlo, neural-network quantum states), Statistical and Non-Equilibrium Physics , and Numerical Simulation . His work bridges quantum information theory with condensed matter physics, emphasizing efficient quantum algorithms and simulators for complex systems. Scientific Contributions : Recent publications highlight advancements in quantum circuit optimization , tree tensor network simulations , block encoding of operators , and quantum-assisted optimization for problems like the capacitated vehicle routing and Toda lattice dynamics. His methods often integrate machine learning with quantum information to address challenges in Hamiltonian simulation and quantum error analysis . Awards : Alexander von Humboldt Feodor Lynen Fellowship, Boehringer Ingelheim Fonds PhD Fellowship, TopMath Graduate Program, Studienstiftung des deutschen Volkes Grants : Rudolf Mößbauer Tenure Track Fellowship (TUM-IAS), Dieter Schwarz Fellowship

Ilya SafroView profile

Associate Professor

• Quantum Computing
• Machine Learning
• Artificial Intelligence
• +7 more

Ilya Safro is an Associate Professor and Associate Chair for Graduate Studies and Research in the Department of Computer and Information Sciences at the University of Delaware. He holds a joint appointment in the Department of Physics and Astronomy. Previously, he served as a Faculty Scholar at Clemson University's School of Health Research and as a postdoctoral researcher at Argonne National Laboratory. Ph.D. in Applied Mathematics and Computer Science (Weizmann Institute, 2008) MSc in Applied Mathematics and Computer Science (Weizmann Institute, 2004) BSc in Mathematics and Computer Science (Ben-Gurion University, 1998) His research focuses on quantum algorithms, machine learning, and combinatorial scientific computing. He develops hybrid quantum-classical algorithms for graph optimization problems and leads projects in biomedical hypothesis generation systems like AGATHA-C. His work spans quantum computing scalability, tensor network simulations, and multiscale approaches for large-scale optimization. Recent publications highlight advancements in QAOA parameter transferability, fermion-qubit mapping optimization, and quantum-inspired network interdiction algorithms. His lab has received multiple student paper awards at IEEE HPEC and QCE conferences. NSF, DARPA, NIH, DOE, BMW funding recipient Co-Chair of IEEE Quantum Computing and Engineering 2025 and 2024 Quantum Algorithms tracks Editorial board member for IEEE Transactions on Quantum Engineering and SIAM Journal on Scientific Computing Current lab members include Ph.D. students Bao Bach, Cameron Ibrahim, Ilya Tyagin, and alumni working at Fujitsu Research USA and Argonne National Laboratory. His Erdős number is 3 via multiple academic lineages.

Paul Robert GriffinView profile

Associate Professor

• Artificial Intelligence and Data Science
• Machine Learning & Intelligence
• Information Systems & Technology
• +5 more

Paul Robert Griffin is a Full-time Faculty member at Singapore Management University (SMU) , serving as an Associate Professor of Information Systems (Practice) in the School of Computing and Information Systems. He earned his PhD from Imperial College London in 1997 and has taught courses on Quantum Computing in Financial Services, Blockchain Technology, and Software Engineering. PhD, Imperial College London, 1997 Teaching: Quantum Computing, Blockchain, Software Engineering Research Interests: Artificial Intelligence, Machine Learning, Digital Transformation, Smart Contracts His research focuses on Quantum Machine Learning (QML) , with applications in financial transaction optimization, credit scoring, and time series forecasting. He has published extensively on hybrid quantum-classical models, explainable quantum neural networks, and decentralized systems. Key themes include noise resilience in QML, quantum finance, and blockchain ethics. The 15 most recent articles highlight trends in Quantum Computing for Finance , Smart Contracts , Decentralized Systems , and Explainable AI . His work bridges theoretical advancements with practical implementations in banking technology, including corporate banking operations and financial risk prediction. Advisees include PhD students ONG Weng Hwee (Lawrence) , Ramaprasad RAMAKRISHNAN , and YAU Hon Tak (Sean) . His work integrates digital transformation with cutting-edge quantum and blockchain technologies to address challenges in financial services and distributed systems.

• Quantum Theory
• Information and Communication Theory
• Algebraic Geometry
• +3 more

Helena Martín Cruz is an Assistant Professor at the Faculty of Mathematics, Jaume I University . Her research focuses on Quantum Information Processing and Algebraic Geometry applications to error-correcting codes. As of 2024, she has published 4 works since her doctoral graduation from Jaume I University in 2024. PhD in Mathematics (2024), Jaume I University Thesis: Quantum codes and locally recoverable codes from evaluation codes Her work explores Quantum Stabilizer Codes , Hermitian Dual-Containing Codes , and Monomial-Cartesian Code Constructions for quantum computing applications. Collaborators include Dr. Carlos Galindo Pastor and Dr. Fernando Hernando Carrillo. Recent publications analyze quantum code optimization against the Gilbert-Varshamov Bound and develop Locally Repairable Codes for quantum systems. She has contributed to advancements in Quantum Error-Correcting Codes through algebraic structures and finite field cryptography.

• Signal Processing in Wireless Communications
• Multi-antenna systems (MIMO)
• Wireless Power Transfer
• +14 more

Francisco A. Monteiro is an Associate Professor in the Department of Information Science and Technology at ISCTE – University Institute of Lisbon, and an Integrated Researcher at Instituto de Telecomunicações (IT), Lisbon, Portugal. He holds a PhD in Engineering from the University of Cambridge and prior degrees from Instituto Superior Técnico, University of Lisbon. His academic journey includes progressive roles at ISCTE-IUL, culminating in his promotion to Associate Professor in May 2024. Education: PhD in Engineering, University of Cambridge, UK (2012) MSc in Electrical and Computer Engineering, Instituto Superior Técnico, University of Lisbon (2003) Licenciatura in Electrical and Computer Engineering, Instituto Superior Técnico, University of Lisbon (1998) His research focuses on signal processing in wireless communications, particularly in MIMO systems, network coding, quantum communications, and advanced decoding techniques like GRAND. He has made significant contributions to quantum error correction, entanglement purification, and low-latency decoding for 5G/6G systems. His recent work bridges classical wireless theory with emerging quantum networking paradigms, as evidenced by publications in Quantum , IEEE Access , and IEEE Transactions . The trend in his recent publications (2023–2024) shows a strong shift toward quantum information processing—especially quantum error correction via noise-guessing decoding (QGRAND), entanglement routing, and purification—while maintaining a foundation in classical MIMO, full-duplex communications, and network coding. His work is highly interdisciplinary, combining information theory, signal processing, and quantum computing. Scientific Awards: Best Paper Award, ECWT 2007 Best Student Paper Award, ECWT 2004 Exemplary Reviewer Award (2014, 2015), IEEE Wireless Communications Letters Innovation Young Engineer Prize (3rd place), Ordem dos Engenheiros, 2002 College Senior Scholarship, Fitzwilliam College, Cambridge, 2007 Fellowship from Fundación Endesa & Fundación Carolina, 2019 Francisco Monteiro has advised several MSc students, including Francisco Rosário and João Sande Lemos, both winners of the Luís Vidigal Prize. He has co-supervised PhD-level research and served on multiple thesis committees. His research has been funded through competitive grants and collaborations with institutions in Canada, Finland, Spain, and the UK. He has served as General Chair of ISWCS 2018, Lead Guest Editor for EURASIP Journal, and organizer of the Quantum Internet Alliance Workshop. He is actively involved in research groups such as the Radio Systems Group at IT and has led projects on MIMO, wireless energy transfer, and quantum networking. His lab work emphasizes algorithmic innovation for practical implementations in next-generation wireless and quantum systems.

Marc St.-HilaireView profile

Professor

• Telecommunication network planning
• Wired and wireless communication networks
• Mobile computing
• +12 more

Marc St.-Hilaire is a Professor at the School of Information Technology and cross-appointed to the Department of Systems and Computer Engineering at Carleton University within the Faculty of Engineering and Design . He holds a Ph.D. from École Polytechnique de Montréal and serves as the NET Program Coordinator. He is a Senior Member of IEEE and has received multiple awards, including the Carleton Faculty Graduate Mentoring Award and the Teaching Achievement Award. Education: Ph.D., École Polytechnique de Montréal His research centers on telecommunication network planning, mobile computing, and network optimization , with strong emphasis on wireless and vehicular networks, fog/edge computing, blockchain integration, and AI-driven network protocols . His recent work applies reinforcement learning, genetic algorithms, and fuzzy logic to solve challenges in dynamic and distributed environments. The trend in his recent publications shows a strong focus on smart infrastructure , including Internet of Vehicles (IoV), smart grids, and cloud/edge resource management . He frequently collaborates with students and researchers on topics such as virtual network embedding, SLA-aware provisioning, and cooperative positioning , often leveraging emerging technologies like blockchain and deep learning. Scientific Awards and Honors: Senior Member, IEEE Best Industry Paper Award, WF-IoT 2024 Best Paper Award, ADHOCNETS 2019 Best Paper Award, iThings 2018 IEEE WIE Best Paper Award, CCECE 2018 Best Paper Award, ADHOCNETS 2017 Carleton Faculty Graduate Mentoring Award, 2014 Carleton Teaching Achievement Award, 2014–2015 Dr. St.-Hilaire actively supervises a large team of graduate students and has mentored over 40 Ph.D., Master’s, and postdoctoral researchers to completion. He has secured significant research funding through industry and government grants, enabling extensive experimental testbeds in SDN, fog computing, and vehicular networks. His work bridges theoretical optimization with practical implementation, often releasing tools and simulators (e.g., NetAnalyzer, DEVS fog simulator). He leads a vibrant research team focused on network intelligence, edge-based complex event processing, and sustainable computing . His lab collaborates with industry partners on projects involving 5G/6G integration, TSN in cloud environments, and smart city applications such as cloud-based waste management and smart grid simulation.

• Wireless Systems and Networks
• Internet of Things (IoT)
• Digital Twin
• +9 more

Luciano Bononi is a Full Professor and Deputy Head of the Department of Computer Science and Engineering at the University of Bologna. He holds a PhD in Computer Science (2002) and has been active in academia since 2001, progressing through roles like Researcher, Senior Researcher, Associate Professor (2011), and Full Professor (2020). His research focuses on Wireless Systems, IoT, Digital Twins, Smart Cities, and Mobile Applications , with over 160 peer-reviewed publications and major contributions to EU projects like Arrowhead and IoE. Education: MS (Laurea) in Computer Science, University of Bologna (1997, Summa cum Laude) PhD in Computer Science, University of Bologna (2002) Research Interests: Bononi's work spans Wireless Protocols, IoT Platforms, Digital Twin Integration with AI, Smart Mobility/ Energy Systems, and Edge Computing . He leads the WiLMA Lab and the ALMA-AI CoInnovation Lab , focusing on real-world IoT deployments and smart city solutions. Key Contributions: Coordinated EU projects like Arrowhead (2013-2017) and national initiatives like PNRR-Mobility-Spoke 7 Recipient of 4 Best Paper Awards and top rankings in global scientist databases Editorial roles at 7 journals including Wiley's Wireless Communications and Elsevier's Ad Hoc Networks Organized over 15 international conferences as Chair and participated in 200+ TPC roles Labs & Teams: Directs the WiLMA Lab (Wireless Systems and Mobile Apps) and the ALMA-AI CoInnovation Lab , emphasizing interdisciplinary collaboration between academia and industry.

Ashwin NayakView profile

Professor

• Quantum Information
• Quantum Computation
• Algorithms
• +4 more

Ashwin Nayak is a Professor at the University of Waterloo, affiliated with the Department of Combinatorics and Optimization and the Institute for Quantum Computing (IQC). He holds a B.Tech. from IIT Kanpur (1995) and a Ph.D. from UC Berkeley (1999). Before joining Waterloo in 2002, he held postdoctoral positions at DIMACS, AT&T Labs, and Caltech. He was also an associate faculty member at the Perimeter Institute for Theoretical Physics from 2003 to 2011. His research focuses on quantum information and computation, including quantum algorithms, complexity theory, and communication protocols. He has made significant contributions to topics such as quantum walks, quantum error correction, and the theory of quantum communication complexity. His work bridges foundational aspects of quantum mechanics with computational challenges, emphasizing interdisciplinary connections to theoretical computer science. Nayak has advised numerous graduate students and has taught courses ranging from introductory optimization to advanced quantum information theory. His current supervision includes Ph.D. student Pulkit Sinha and M.Math. student Nicholas Allen. Past students have pursued careers in academia and industry, contributing to fields like quantum algorithms and cryptography. He is actively involved in academic activities, including organizing lectures and conferences on quantum information. His lab at IQC collaborates on cutting-edge projects in quantum computing and information theory.

• Distributed Computing
• Heterogeneous Computing
• Programming Models
• +5 more

Rosa Maria Badia Sala is a Research Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament d'Arquitectura de Computadors and the Barcelona Supercomputing Center (BSC-CNS). She specializes in distributed computing, heterogeneous systems, and task-based programming models. Her work focuses on advancing high-performance computing (HPC), cloud computing, and workflow management for large-scale scientific applications. She holds a Doctorat en Informàtica and has been actively involved in numerous research projects, including contributions to the COMPSs programming framework and the optimization of HPC workflows. Her collaborations span institutions like BSC-CNS and international initiatives such as JLESC. Recent research includes GPU-accelerated computing, quantum optimization algorithms, and digital twins for power networks. Badia's publications span journals like Future Generation Computer Systems and IEEE Transactions on Parallel and Distributed Systems, reflecting her expertise in parallel computing, distributed systems, and real-time data analysis. She has supervised multiple doctoral theses and contributes to research grants focused on HPC and AI integration.

Miguel A. NunesView profile

Researcher

• Small Satellites
• CubeSats
• Multi-Agent Robotic Systems
• +7 more

Miguel A. Nunes serves as Assistant Researcher and Deputy Director at the Hawaiʻi Space Flight Laboratory (HSFL) within the University of Hawaiʻi at Mānoa's College of Engineering. Specializing in small satellite design and multi-agent robotic systems , he leads systems engineering for missions like Neutron-1 and HyTI, while teaching space systems design in programs including the Vertical Integrated Project Aerospace Technologies and Earth and Planetary Exploration Technology (EPET) capstone courses. PhD in Aerospace Engineering (2010) focusing on autonomous satellite swarm control Developed COSMOS mission operations system for managing multiple spacecraft Key work in thermal control systems for hyperspectral imagers and satellite constellations His 10+ years of subsystem expertise spans ADCS, OBC, flight software, and radio communications. Recent publications highlight advancements in T2SL detector arrays and active thermal management for CubeSats. As Deputy-PI for HyTI mission, he contributes to volcanic monitoring and agricultural sensing applications through high-resolution thermal imaging. Research trends show consistent focus on distributed satellite systems and autonomous operations , transitioning from foundational work on multi-agent control to current applications in Earth observation constellations . His collaborations span JPL, NASA, and Saraniasat Inc., with technical contributions to 6U CubeSat standardization and onboard computing architectures.

Rune Hylsberg JacobsenView profile

Professor

• Energy Systems
• Drone Technology
• Blockchain Applications
• +12 more

Rune Hylsberg Jacobsen is a Professor at the Department of Electrical and Computer Engineering, Aarhus University. His work bridges energy systems, drone technology, and blockchain applications, with a focus on smart grids, autonomous systems, and decentralized infrastructure. Research interests include: Security frameworks for prosumer-driven energy systems using blockchain mmWave and LEO satellite communication protocols Homomorphic encryption for smart meter privacy Cooperative drone swarm navigation and infrastructure inspection Earth observation via CubeSats for climate research His recent publications highlight advancements in: Zero trust security models for renewable energy certificates Transport protocol optimization in satellite networks AI-driven charging window scheduling for drone fleets Decentralized identity management in Web3 infrastructure Key projects include: DISCO-2: Student CubeSat for Arctic climate monitoring Drones4Safety: Safety-critical inspection systems VPP4SGR: Virtual Power Plant networks

• Cryptography
• Quantum Information
• Theoretical Computer Science
• +5 more

Dakshita Khurana is an Associate Professor of Computer Science at the University of Illinois Urbana-Champaign and a Scientist at NTT Research, specializing in the theoretical foundations of cryptography and quantum information interactions. Her research spans cryptography and quantum information, with core contributions to secure protocol design including succinct zero-knowledge proof systems, non-malleable protocols, and secure computation. She leverages cryptographic hardness (particularly lattice-based assumptions) to advance theoretical computer science, such as proving Nash equilibria hardness. Current work focuses on identifying computational hardness enabling quantum-world cryptography. Recent publications (2021-2025) reveal a concentrated evolution toward quantum cryptography foundations, including certified deletion mechanisms and quantum one-wayness commitments. Her work consistently bridges theoretical computer science and quantum information, emphasizing lattice-based assumptions while advancing zero-knowledge proofs and non-malleable protocols for quantum-resistant systems. She has received several prestigious awards: NSF CAREER award Google Research Scholar award Visa Research faculty award Graduate of Last Decade (GOLD) Alumni award from IIT-Delhi Khurana advises PhD students including Kabir Tomer, Ruta Jawale, James Hulett, and Amit Agarwal (now at Category Labs), while mentoring postdocs like Mehrdad Tahmasbi and Naresh Goud Boddu (now at JPMorgan Chase). Her research is funded by NSF, AFOSR, DARPA, C3AI, and Jump Arches grants. She leads a cryptography and quantum information research group at UIUC, collaborating with students and postdocs on foundational security protocols for emerging computational paradigms.