Find Academic Supervisors

• Security Studies
• Emerging Technology
• International Relations
• +3 more

Joshua Goldstein serves as a Research Fellow at the Center for Security and Emerging Technology (CSET), a specialized research unit within Georgetown University's School of Foreign Service. In this capacity, he contributes to non-partisan analysis of national security implications arising from transformative technologies including artificial intelligence, biotechnology, and quantum computing. Education: Ph.D. from University of Oxford, focusing on interdisciplinary security and technology policy frameworks His research program critically examines the convergence of technological innovation and geopolitical strategy, with particular emphasis on regulatory challenges, military applications of emerging technologies, and institutional adaptation to rapid scientific advancement. This work sits at the intersection of political science, computer science, and strategic studies. CSET operates as a multidisciplinary research hub connecting policymakers, technologists, and academics through evidence-based analysis. Goldstein collaborates within this ecosystem to produce actionable insights for government stakeholders while maintaining academic rigor in assessing long-term security trajectories shaped by technological change.

Pulugurtha Markondeya RajView profile

Associate Professor

• Electronic Packaging
• Bioelectronic Systems
• Wearable and Implantable Medical Devices
• +6 more

Dr. Pulugurtha Markondeya Raj is an Associate Professor in the Department of Electrical & Computer Engineering at Florida International University. His expertise spans electronic and bioelectronic packaging, heterogeneous integration, wearable medical devices, and advanced passive components. He co-leads technical initiatives in electronic packaging ecosystems, emphasizing nanomaterials and industry partnerships. His research has yielded over 380 publications, 13 patents, and $14M in R&D funding, primarily from industry. He serves as an Associate Editor for IEEE CPMT Transactions and IEEE Nanotechnology Magazine, and chairs IEEE Nanopackaging committees. Education: BS (1999) from IIT Kanpur, ME (1995) from IISc Bangalore, PhD (1999) from Rutgers University. His work focuses on integrating nanomaterials into packaging for 5G, biomedical systems, and power delivery. He has advised over 40 students, many now leading roles at tech giants like Apple and Intel. Research highlights include miniaturized neural recording systems, EMI shielding innovations, and 3D glass-based packages. His articles emphasize trends in 5G packaging, bioelectronic integration, and nanomaterial-driven solutions. Awards include IEEE's Best Associate Editor (2021) and numerous best-paper recognitions. Scientific Contributions: 35+ best-paper awards, 110+ journal papers, 19 book chapters Leadership: IEEE Distinguished Lecturer (2020-2022), Co-Chair IEEE Nanopackaging Technical Committee Grants and Collaboration: Secured $14M+ industry funding; his lab's innovations are commercialized via industry partnerships. Advised students contribute to cutting-edge packaging at major electronics firms. Labs/Teams: Leads research in nanopackaging and heterogeneous integration, advancing technologies like flexible fan-out packaging and embedded bioelectronics.

Farah KandahView profile

Associate Professor

• Cybersecurity
• Internet of Things (IoT)
• Blockchain
• +3 more

Farah Kandah is an Associate Professor in the Department of Computer Science and Software Engineering at Auburn University. Her research focuses on cybersecurity, IoT security, blockchain, trust management, and machine learning applications in networked systems. She leads initiatives in ethical hacking and quantum computing education, and has been awarded a $116K NSF grant to develop quantum computing curricula. Education: Ph.D. Computer Science, North Dakota State University M.S. Computer Science, University of Jordan B.S. Computer Science, The Hashemite University Research Highlights: Dr. Kandah's work addresses IoT security challenges through behavioral trust models, blockchain-based architectures, and machine learning-driven intrusion detection systems. She has pioneered hybrid testbeds like XiveNet and contributed to frameworks like Zero Trust+ and B2-C2 for scalable IoT security. Her research integrates hardware-software co-design principles to enhance resilience against advanced cyber threats. Grants & Awards: Recipient of a National Science Foundation grant (2023) for quantum education programs. Auburn's Cybersecurity programs under her contribution hold three National Centers of Academic Excellence designations (Cyber Research, Cyber Defense, Cyber Operations). Advising & Outreach: Advises the Auburn Ethical Hacking Club, which competes in national cyber competitions. Active in mentoring students through initiatives like the Computing Research Association's Outstanding Researcher Awards. Lab & Collaborations: Involved with the Center for Artificial Intelligence and Cybersecurity Engineering at Auburn. Research spans smart cities, connected vehicles, and secure SDN architectures.

Greta NasiView profile

Associate Professor

• Public Administration
• Digital Government
• Cybersecurity Policy
• +3 more

Greta Nasi is an Associate Professor in the Department of Social and Political Sciences at Bocconi University, Italy. She currently serves as the Director for the Master of Science in Cyber Risk Strategy and Governance, a collaborative program between Bocconi University and Politecnico di Milano. Previously, she held leadership roles including Director of Research for Government (2016–2022) and Director of the Public Management and Policy Department at SDA Bocconi School of Management (2012–2016). Her work focuses on public administration, digital governance, cybersecurity policy, and value co-creation. Her research interests span public administration, cybersecurity policy, digital government, and value co-creation. She explores how technological advancements, such as quantum computing and machine learning, can be applied to address challenges in public policy and governance. Her work often intersects with interdisciplinary approaches, integrating data science with social and political sciences to promote innovation in public sector management. Her recent publications emphasize machine learning applications in public health, environmental science, and policy. Key themes include pandemic mobility patterns, flood risk modeling using NASA data, and quantum computing frameworks for climate action. These studies highlight her focus on leveraging interdisciplinary methods to solve complex societal challenges. No scientific awards are explicitly mentioned in the provided text. Her advising and grant activities are not detailed, though her extensive collaborations with international organizations and governments suggest active engagement in policy-driven research. She has contributed to the development of information systems addressing health equity and geographic disparities in healthcare access.

Huan NguyenView profile

Professor

• Digital Twin Modeling
• Machine Learning
• Wireless Communications
• +5 more

Prof. Huan Nguyen is a Professor of Digital Communication Engineering at Middlesex University, affiliated with the Faculty of Science and Technology's Design Engineering & Mathematics department. He leads the London Digital Twin Research Centre and the 5G/6G & IoT Research Group. He holds a PhD from the University of New South Wales (2007) and a BSc from Hanoi University of Science & Technology (2000). Research Interests: Digital twin modeling, machine learning for disaster management and structural health monitoring, 5G/6G communication systems, and IoT. His work focuses on smart factories, critical infrastructure resilience, and healthcare applications like stroke care via digital twins. Grants & Leadership: Secured £2.5M+ in grants, including projects on quantum-assisted digital twinning (QuanDT, £93K), cognitive twins for Dubai manufacturing (£270K), and stroke care in Vietnam/Indonesia (StrokeDT, £99.8K). Served as PI or Co-I on 15+ grants from EPSRC, British Council, and industry partners. Teaching: Currently teaches Digital Communication Systems and Major Project modules. Previously instructed courses in digital communications, wireless systems, and telecommunications at Middlesex and other institutions. Awards & Roles: Senior Fellow of the HEA (2019), Senior IEEE Member, and Chair of the Vietnamese Intellectual Society in the UK/Ireland. Editor for KSII Transactions on Internet and Information Systems and REV Journal on Electronics and Communications . Labs & Teams: Leads research groups focused on digital twins, 5G/6G, and IoT. Collaborates with global partners like VinGroup, Vietnamese universities, and UK institutions on Industry 4.0 and healthcare innovation.

Zhu HanView profile

Professor

• Game Theory
• Wireless Networking
• Security
• +4 more

Dr. Zhu Han is the John and Rebecca Moores Professor at the University of Houston's Cullen College of Engineering, Department of Electrical and Computer Engineering. His research focuses on game theory, wireless networking, security, data analysis, and smart grid applications. He holds doctoral and master's degrees from the University of Maryland and a bachelor's from Tsinghua University. Research interests span: Next-generation wireless systems (6G/7G) AI/ML integration in communications Reconfigurable intelligent surfaces Quantum machine learning applications Secure and efficient network architectures His recent publications demonstrate strong focus on generative AI integration in wireless systems, quantum networking, semantic communications, and security frameworks for future networks. Awards and honors include: IEEE/ACM/AAAS Fellow status IEEE Kiyo Tomiyasu Award (2021) Highly Cited Researcher since 2017 IEEE Distinguished Lecturer (2015-2018) Dr. Han leads research in wireless communications and networking, with extensive industry collaboration. His lab focuses on developing theoretical foundations and practical implementations for next-generation communication systems.

Qing CaoView profile

Associate Professor

• AI for Cyber-Physical Systems
• Networking and Distributed Systems
• Cyber Security
• +5 more

Qing 'Charles' Cao is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. His research focuses on AI-driven Cyber-Physical Systems, Networking, and Cyber Security, with applications in IoT, Edge Computing, and Smart Agriculture. He holds a PhD from the University of Illinois at Urbana-Champaign, an MS from the University of Virginia, and a BS from Fudan University, China. Education: PhD in Computer Science, University of Illinois at Urbana-Champaign, 2008 MS in Computer Science, University of Virginia, 2005 BS in Computer Science, Fudan University, Shanghai, China, 2002 Research Interests: His work emphasizes interdisciplinary solutions at the intersection of AI, networking, and security. Key areas include: - Blockchain-based security mechanisms for edge devices - LLM applications in public policy and climate decision-making - IoT-driven precision agriculture and livestock health monitoring - Probabilistic error reasoning and fault tolerance in distributed systems Grants & Awards: No awards explicitly listed, but his research has been supported by grants in areas like smart agriculture and edge computing infrastructure. Advising & Labs: While specific advisees are not listed, his research group focuses on collaborative projects involving students in cybersecurity, IoT, and AI systems. He has contributed to lab initiatives related to environmental computing and distributed sensor networks. Professional Activities: Active in conferences like AAAI, IEEE IPCCC, and ACM/IEEE Edge Computing Symposiums, presenting on topics ranging from LLM-assisted governance to secure edge architectures.

Catherine SchumanView profile

Assistant Professor

• Neuromorphic Computing
• Artificial Intelligence
• Hardware-Software Co-Design
• +7 more

Catherine Schuman is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. Her work focuses on neuromorphic computing, spiking neural networks, and AI-driven hardware-software co-design. She holds a Ph.D. and B.S. in Computer Science and Mathematics from the University of Tennessee (2015 and 2010, respectively). Research interests include neuromorphic systems, energy-efficient computing architectures, stochastic devices, and applications of neuromorphic computing in scientific domains like materials science and quantum materials. She emphasizes benchmarking frameworks (NeuroBench) and real-world applications such as radiation detection and control systems. Her recent publications (2023-2025) highlight advancements in neuromorphic hardware-software co-design, spiking reinforcement learning frameworks, and neuromorphic implementations for scientific computing. Notable contributions include frameworks like SpikeRL, NeuroPong, and the RISP neuroprocessor, emphasizing open-source tools for embedded neuromorphic computing. No scientific awards are explicitly listed in the provided information. She actively explores cross-disciplinary applications, including combustion control and materials discovery through AI-enhanced device design.

Chadi AssiView profile

Professor

• Wireless Networks
• Information Security
• Cybersecurity
• +6 more

Chadi Assi is a Professor and Tier II Concordia Research Chair at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on wireless networks, information security, and smart grid systems, with particular emphasis on reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), cybersecurity for electric vehicles (EVs), and machine learning-driven network optimization. He has pioneered work on mitigating cyber-physical attacks in power grids and IoT ecosystems, while advancing cooperative communication protocols like RSMA and NOMA. His technical contributions span theoretical frameworks for energy efficiency maximization in hybrid SDMA/NOMA schemes, low-complexity RIS element selection algorithms, and adversarial PINN models for grid dynamics. He also investigates vulnerabilities in EV charging infrastructure and O-RAN synchronization protocols, proposing robust detection mechanisms like PEACE and Grid Mirror. His interdisciplinary work bridges communications, power systems, and AI, addressing challenges in 5G/6G security and resilient IoT provisioning. Key Research Areas: RIS-enabled ISAC networks, EV cybersecurity, meta-learning in communications, IoT malware analysis Current Projects: Grid resilience against load-altering attacks, Movable antenna optimization, federated learning for AGC systems Recent publications (2024-2025) emphasize deep reinforcement learning frameworks for RIS-aided networks, cooperative RSMA performance enhancement, and defense mechanisms against dynamic trigger-based attacks. He has also developed novel datasets for advanced persistent threats and frameworks like ChargePrint for EV charging security analysis. His work is published in top venues including IEEE Transactions on Smart Grid, IEEE JSAC, and IEEE ICC, reflecting contributions to both theoretical advancements and practical system implementations.

Dejun YangView profile

Associate Professor

• Networking
• Mobile Sensing
• Edge Computing
• +5 more

Dejun Yang is an Associate Professor in the Department of Computer Science at Colorado School of Mines. He directs the NEMOS (Networking and Mobile Sensing) Lab, focusing on advancing networking, mobile sensing, and edge computing through interdisciplinary approaches involving game theory, optimization, machine learning, and algorithm design. His work addresses challenges in resource allocation, security, and privacy across domains like IoT, quantum internet, and blockchain-based systems. Education: B.S. in Computer Science, Peking University (2007) Ph.D. in Computer Science, Arizona State University (2013) Research Interests: Networking and satellite communications Edge computing security and SLA enforcement Incentive mechanisms for crowdsourcing and blockchain Quantum internet resource distribution Privacy-preserving mobile sensing Recent Article Trends: His 2023-2025 work emphasizes blockchain payment networks (e.g., fee-aware routing, crypto capital incentives) and edge computing SLA markets. Earlier studies focused on crowdsourcing mechanisms and spectrum auctions. Scientific Awards: Recipient of Best Paper Awards at GLOBECOM’15, ICC’12, ICC’11, MASS’11, and a Best Paper Runner-Up at ICNP’10 (2010-2015). Lab & Collaboration: Leads the NEMOS Lab, which develops innovative solutions for mobile sensing, edge computing, and secure distributed systems. Active in interdisciplinary collaborations involving industry partners and academic institutions.

Miriam MeckelView profile

Professor

• Corporate Communication
• Media Economics
• International Communication
• +4 more

Miriam Meckel is a Full Professor of Corporate Communication at the University of St. Gallen and Director of the Institute for Media and Communications Management (MCM). She holds a PhD and has held roles as a State Secretary in North Rhine-Westphalia, a visiting scholar at Harvard, Fordham, and Singapore Management University, and board memberships in institutions like Tamedia and ada Learning GmbH. Her research focuses on communication management, AI ethics, quantum technology narratives, and digital transformation. Education: Studied Journalism, Sinology, Political Science, and Law at Universities of Münster and Taipei. Career highlights include being a founding editor of WirtschaftsWoche and hosting the business talk show 'Miriam Meckel - Standpunkte' on n-tv. Research Interests: Explores AI's societal impact, media economics, international communication strategies, and the ethical implications of emerging technologies like quantum computing. Her book Everything Everywhere at Once examines AI's transformative role in modern society. Key Awards: CICERO-Speakerprize, Ernst Schneider Prize for Innovation in Media, Eisenhower Fellowship, and Kennedy Memorial Fellowship. Currently advising on AI governance and leading initiatives at ada Learning for tech education.

ANG Shi JunView profile

Lecturer

• High throughput quantum chemistry
• AI in Chemistry
• Cheminformatics
• +2 more

ANG Shi Jun is an Adjunct Lecturer in the Department of Chemistry at the National University of Singapore (NUS). He holds a B.Sc. (1st Class Honours) from NUS (2014), a Ph.D. from the NUS Graduate School for Integrative Sciences and Engineering (2018), and completed a postdoctoral fellowship at the Massachusetts Institute of Technology (2019–2021). His research focuses on high-throughput quantum chemistry, AI applications in chemistry, cheminformatics, and catalysis for sustainability. Key educational milestones include the Schering Plough Gold Medal (2013), A*STAR scholarships at undergraduate and postdoctoral levels, and the Chairman’s Honours List (2014). He has been recognized with the Royal Society of Chemistry Best Oral Presentation Award (2018) and secured the A*STAR Career Development Fund (2022). His research publications span topics like molecular language processing for compound databases, phase transitions in nanoparticles, and halogen bonding dynamics. His work bridges computational methods with practical applications in sustainable chemistry and materials science. ANG has received notable awards and grants, including the MIT Kaufman Teaching Certification (2020), highlighting his contributions to both research and education. While no specific lab or team is explicitly mentioned, his affiliations align with NUS’s Department of Chemistry, where he contributes to cutting-edge interdisciplinary research.

Kenneth PatersonView profile

Professor

• Cryptography
• Information Security
• Applied Cryptography
• +3 more

Prof. Kenneth Paterson is a Full Professor at ETH Zürich's Department of Computer Science, leading the Applied Cryptography Group. He has held academic positions at Royal Holloway, University of London, and Hewlett-Packard Laboratories. His research focuses on cryptographic protocol analysis, provably secure solutions, and real-world system vulnerabilities. Key contributions include the Lucky 13 TLS attack, analyses of Telegram and OpenPGP, and work on cryptographic transition strategies. He has been recognized with awards such as the Google Distinguished Paper Award, IACR Fellowship, and ETH Golden Owl Teaching Award. His leadership roles include Department Head at ETH Zurich and Programme Chair for EUROCRYPT 2011. Paterson actively engages in standardization efforts through IRTF's CFRG and co-founded the Real World Cryptography workshop series. Education: B.Sc. (Mathematics, University of Glasgow, 1990), Ph.D. (Mathematics, University of London, 1993). Career highlights include EPSRC Leadership Fellowship (2010–2015) and IACR Distinguished Lecture at EUROCRYPT 2025. Research Interests: Cryptography, Information Security, Applied Cryptographic Protocols, TLS Analysis, Post-Quantum Cryptography, and Privacy-Preserving Technologies. Notable projects include cryptographic analysis of TLS, SSH, and cloud storage systems. Awards and Recognition: Google Distinguished Paper Award (2012) Applied Networking Research Prize (2013) IACR Fellow (2017) ETH Golden Owl Teaching Award (2022) Multiple Best Paper Awards at ACM CCS, CHES, and IEEE Security & Privacy Advising and Grants: Supervised students like Francesca Falzon and led projects funded by EPSRC, IRTF, and industry collaborations. Contributions to cryptographic agility and transition strategies for Internet protocols. Labs/Teams: Founder and Head of ETH Zurich's Applied Cryptography Group, associated with the Institute for Information Security. Collaborates with industry on cryptographic protocol development and security audits.

• Low-Temperature Physics
• Spintronics
• Quantum Technology
• +3 more

Dr. Maxim Goryachev is a Lecturer in the Department of Physics at the University of Western Australia's School of Physics, Maths and Computing. His research focuses on cryogenic devices, low-temperature physics, spintronics, and dark matter detection. He is actively involved in the ADMX and ORGAN collaborations, advancing axion dark matter searches and microwave cavity technologies. Key contributions include improving axion detector sensitivity, studying paramagnetic impurities in crystalline materials, and exploring gravitational wave detection techniques at high frequencies. He has secured grants for projects like Quantum Australia (2024-2027) and an Australian Underground Cryogenic Facility (2024-2025). Recipient of the EFTF Young Scientist Award (2018) Investigator in 20 research grants, including collaborations on quantum technology and fundamental physics Published 124+ articles in top journals like Physical Review Letters and Physical Review D His work bridges quantum technology, condensed matter physics, and astrophysics, with applications to fundamental physics questions like dark matter and gravitational waves.

• Photocatalysis
• Solar Energy Conversion
• Catalytic Materials
• +5 more

Richard Douthwaite is a Professor in the Department of Chemistry at the University of York. His research focuses on designing and optimizing materials for photocatalysis, solar energy conversion, and catalytic processes. He leads the Douthwaite Lab, which explores topics such as semiconductor-metal composites, metal complex catalysis, and advanced electron microscopy techniques. Key areas include hydrogen production from water, CO₂ reduction, and sustainable photocatalytic systems. His work integrates experimental and computational approaches, leveraging facilities like the York JEOL Nanocentre for advanced microscopy (e.g., ETEM). Notable contributions include innovations in macroporous materials, photoelectrochemical devices, and ligand-based catalyst design. He has secured grants from EPSRC for projects like QUANtum Transport for Advanced Spintronics and optimization of nanoporous metal oxides. Professor Douthwaite actively participates in academic governance, serving on EPSRC panels and editorial boards. His research outputs span over 85 publications, with recent work emphasizing oxygen atom transfer in Mo complexes and visible-light-driven C–C coupling. He was awarded FRSC in 2010 for contributions to inorganic and materials chemistry.