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Catherine PetersView profile

Professor

• Environmental Engineering
• Geochemistry
• Carbon Sequestration
• +3 more

Catherine Peters is the George J. Magee Professor of Geosciences and Geological Engineering, and Professor of Civil and Environmental Engineering at Princeton University. She serves as Director of the Program in Geological Engineering and holds associated faculty roles in the High Meadows Environmental Institute (HMEI), Princeton Institute for the Science and Technology of Materials (PRISM), and the Andlinger Center for Energy and the Environment. Her work focuses on environmental chemistry, geochemical reactions, and subsurface energy technologies, including carbon sequestration, geothermal energy, and shale gas extraction. Education: PhD (Joint degree in Civil Engineering and Engineering & Public Policy), Carnegie Mellon University, 1992 MS in Civil Engineering, Carnegie Mellon University, 1987 BSE in Chemical Engineering, University of Michigan, 1985 Research Interests: Dr. Peters explores environmental challenges of subsurface energy systems through experimental, imaging, and modeling approaches. Key areas include CO2 storage in saline aquifers, geochemical reaction kinetics, and remediation of organic pollutants. Her lab uses synchrotron-based techniques and reactive transport simulations to study processes at nanometer to basin scales. She emphasizes collaborative research with national labs and universities. Recent Article Trends: Her publications (2023-2025) highlight advancements in carbon mineralization, hydrogen storage security, microbial geochemical interactions, and multi-scale material characterization. These works bridge environmental engineering, geochemistry, and data science to address decarbonization challenges. Awards & Leadership: Fellow, Association of Environmental Engineering and Science Professors (AEESP) since 2016 2012 EPA P3 Award for the 'Power-in-a-Box TM' sustainable design project Princeton Commendation List for Outstanding Teaching Grants & Collaborations: Funded by NSF, DOE, and EPA, her projects address subsurface energy systems and climate mitigation. She collaborates with national labs via synchrotron facilities and leads initiatives like the Grand Challenges Program. Courses taught include environmental engineering, statistical methods, and geochemical kinetics modeling. Labs & Teams: Affiliated with HMEI, PRISM, and the Andlinger Center, she integrates interdisciplinary teams to advance sustainable energy and environmental solutions. Her group’s work often intersects with global sustainability and equity goals.

Bharanidharan ShanmugamView profile

Associate Professor

• IoT Security
• Cyber Risk Management
• Network Security
• +3 more

Dr. Bharanidharan Shanmugam is an Associate Professor in Information Technology at Charles Darwin University's Faculty of Science and Technology. He specializes in cybersecurity, IoT security, and cyber risk management in microgrids. His research focuses on addressing real-world challenges in IoT, smart grids, and medical devices to enhance community impact. **Research Interests:** - IoT Security - Cyber Risk Assessment in Microgrids - Network and Information Security - Applied Cybersecurity Solutions - Blockchain and Privacy-Preserving Technologies **Key Projects (2019–2025):** - Cyber Territory Skills Hub (2023–2025) - Renewable Energy Microgrid Hub (2021–2024) - Blockchain-Based Digital Identity (2019–2020) **Publications:** Focuses on IoT security frameworks, intrusion detection systems, and AI-driven cybersecurity solutions. Recent works include studies on smart grid load forecasting, medical IoT threat detection, and water leakage detection using machine learning. **Grants & Supervision:** Principal Investigator on multiple ARC-funded projects. Supervises PhD students in DevSecOps and IoT security. Active in organizing workshops on digital awareness for indigenous communities.

Sara RyeView profile

Associate Professor

• Disaster Management
• Humanitarian Logistics
• Risk Management
• +5 more

Dr. Sara Rye is an Associate Professor in Project Management for Development at the University of Bradford's Faculty of Management, Law and Social Sciences. She holds a PhD in Disaster Management from Brunel University. Her research focuses on humanitarian logistics, disaster response optimization, and inclusive game-based learning methodologies. She created a versatile toolkit for game-based education, used across age groups and abilities, and led an Erasmus+ funded project training 240 educators across four countries. Dr. Rye collaborates with Peace Studies and International Development researchers to integrate qualitative and quantitative approaches in disaster studies. Research Interests: Combines mathematical modeling with human-centric disaster analysis. Specializes in supply chain optimization during natural disasters and pedagogical tools for neurodiverse learners. Current projects explore colonialism's humanitarian impacts through quantitative modeling. Her work emphasizes inclusivity in education through adaptable games using materials like LEGO and digital platforms. Grants & Dissemination: Secured Erasmus+ funding for transnational educator training programs. Her research has been disseminated through classroom workshops, online platforms, and international conferences. Advises NGOs pro-bono and supervises PhD students in disaster management and serious games. Impact: Mentored students who achieved academic success (e.g., a master's/PhD on green supply chains) and founded NGOs recognized by Nepal's government. Recently finalized two books on humanitarian supply chains and inclusive game-based education.

Jan-David LiebeView profile

Professor

• Implementation Science
• Digital Health
• Human-Centered Design
• +3 more

Prof. Dr. Jan-David Liebe is a Professor of Digital Society at Osnabrück University of Applied Sciences, leading the Digital Health Management field. He holds a PhD in Business Informatics from the University of Osnabrück (2013–2018). His research focuses on implementation science in healthcare, human-centered design, and AI-driven healthcare innovations. He is a co-founder of innnow GmbH and an associated researcher at UMIT’s Institute for Medical Informatics. Key roles include heading the GMDS AG mwmKIS and contributing to national IT reports in healthcare. Research Interests: His work spans digital transformation in healthcare, evaluating healthcare IT maturity models, and fostering innovation through design thinking. Notable projects include benchmarking health IT systems and developing frameworks for AI-supported diagnostics. Professional Roles: Prof. Liebe serves as the Study Director for the Health Management MA program and Entrepreneurship Officer at the WiSo faculty. He actively contributes to research networks like the German Society for Medical Informatics and advises on healthcare IT strategies. Grants & Projects: Leads projects on cloud readiness of hospitals, VR-based medical training, and AI in echocardiography. His work is published in over 50 peer-reviewed articles, emphasizing practical applications of digital tools in healthcare workflows and policy. Affiliations: Member of the Research Commission and Study Committee at Osnabrück University of Applied Sciences. Collaborates with institutions like the Medical School Hamburg and Novia University of Applied Sciences.

Tian-Bing XuView profile

Professor

• Smart Materials
• Energy Harvesting
• Aerospace Engineering
• +3 more

Dr. Tian-Bing Xu is a Professor of Mechanical & Aerospace Engineering at Old Dominion University (ODU), affiliated with the Batten College of Engineering and Technology. He previously held a 16.5-year tenure at NASA Langley Research Center via the National Institute of Aerospace (NIA), focusing on smart materials and aerospace device development. His research expertise includes piezoelectric materials, energy harvesting systems, cryogenic actuators, and advanced sensors. Dr. Xu has secured over $13M in grants from agencies like NASA, DoD, and ONR, and leads multidisciplinary teams in aerospace innovation. Education: M.S. in Electrical Engineering (1999) and Ph.D. in Materials Sciences and Engineering (2002) from Pennsylvania State University. He was an ONR Global Summer Senior Faculty Fellow at NIWC Atlantic (2019). Research Interests: Smart materials for aerospace applications, piezoelectric energy harvesting, cryogenic actuators, synthetic jet actuators, and multifunctional composites. He has pioneered energy harvesting systems for space and terrestrial use, winning multiple awards including the 2011 and 2015 Best Energy Harvesting Awards, and the 2016 R&D 100 Finalist. His work emphasizes practical applications in aerospace, defense, and renewable energy. Awards: Over 45 honors including Top 2% Global Influential Scientists (2020s), multiple NASA and NIA recognitions, and 11 U.S. patents (3 licensed) in energy harvesters, pressure sensors, and plasma actuators. Grants & Leadership: Secured $13M+ in grants for projects ranging from cryogenic actuators to nanocomposite sensors. His lab collaborates with NASA Langley, universities, and industries to address energy harvesting challenges. He has developed 9 smart materials characterization methods and holds 15 pending patents. Labs & Teams: Lead of the Smart System and Renewable Energy Lab. Collaborates with institutions like NCSU, Virginia Tech, and industry partners on piezoelectric innovations. His research bridges material science, mechanical engineering, and aerospace systems for sustainable solutions.

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +3 more

Tero Päivärinta is a Professor at the University of Oulu, Faculty of Information Technology and Electrical Engineering. His work focuses on software engineering, digital ecosystems, and cybersecurity. He specializes in empirical studies of software systems, digital twins, and autonomous driving technologies. His research explores hybrid intelligence systems, data-centric decision-making, and governance of collective ambidexterity in digital initiatives. Education: PhD holder with extensive experience in academic and industry collaborations. Key research domains include cyber-physical systems, DevSecOps automation, and IT governance in public sectors. He co-leads projects such as the NUVE Lab’s vehicle testing frameworks and contributes to initiatives like the Software-Defined Vehicle project. Research highlights include advancing knowledge graphs for manufacturing, cybersecurity compliance in DevOps pipelines, and evaluating data-driven decisions. His articles emphasize interoperability challenges, adaptive systems design, and sustainable digital transformation in public utilities. Professional contributions include organizing the TKTP Annual Symposium and co-editing volumes celebrating academic peers like Markku Oivo. His work bridges theoretical software engineering with practical applications in mobility, governance, and industrial systems.

• Security and Resilience
• Technology and AI
• AI Ethics and Policy
• +6 more

Dr Adam J Fenton is an Assistant Professor at Coventry University’s Centre for Peace and Security (CPS), with his work spanning security, resilience, technology, and governance. He is currently leading a project with the Alan Turing Institute to assess socio-technical aspects of digital twins in building UK transport network resilience, alongside NATO-funded research on subsea cable cyber-physical security and UKRI-funded studies on AI’s impact on religious faith and cultural resilience. His 2024 Marie Sklodowska-Curie fellowship focused on maritime cybersecurity governance, and he holds legal qualifications from Monash University, with admission to practice in Australia’s Northern Territory Supreme Court and prior border security experience. Assistant Professor, Coventry University Centre for Peace and Security (CPS) Alan Turing Institute collaboration NATO Science for Peace and Security Programme awardee UKRI SALIENT Hub grant recipient Marie Sklodowska-Curie fellowship (2024) Monash University BA/Law (Hons), Australian legal practitioner His research interweaves security studies, AI ethics, maritime cybersecurity, and legal frameworks. Key projects include Digital Twinning for Crisis Response (DTBOC) and CYBERCABLE for underwater infrastructure protection. His work addresses hybrid threats in strategically vital shipping lanes like the Straits of Malacca, blending technical rigor with policy analysis. The Chancellor's Medal - Higher Education (2010) recognizes his early academic excellence. His publications span digital twinning, AI ethics, maritime cybersecurity, Indonesian law reform, and religious freedom, reflecting a multidisciplinary approach to global security challenges. Digital Twinning for transport resilience Cyber-Physical Security of critical infrastructure AI Ethics and religious/cultural impacts Hybrid Maritime Threats in Southeast Asia Legal Reform in Indonesian anti-terrorism As Principal Investigator for CYBERCABLE and STRAITSECURITY , and Co-Investigator for DTBOC , his research bridges academia with practical policy. He actively contributes to media discourse on maritime technology and geopolitical conflicts.

Nicola DragoniView profile

Professor

• Cybersecurity
• Internet of Things (IoT)
• Machine Learning
• +7 more

Nicola Dragoni is a Professor in Cybersecurity Engineering at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). As Deputy Director and Head of Section, he leads research initiatives focused on securing emerging technologies. Key Research Areas : Internet of Things (IoT) security, machine learning for intrusion detection, cyber-deception techniques, fog computing, malware analysis, blockchain applications, and wireless sensor network security. Supervision : Actively supervising multiple PhD students in projects related to cyber-deception, moving target defense, and bio-inspired security mechanisms. Recent Publications : Contributions to IoT honeypots, drone identification via RF signals, passkey adoption challenges, and cyber range taxonomies.

• Artificial Intelligence
• Cybersecurity
• Machine Learning
• +7 more

Vahid Behzadan is an Assistant Professor in Data Science and Computer Science at the University of New Haven's Tagliatela College of Engineering. He leads the SAIL Lab, focusing on AI safety and security, particularly in autonomous systems like driverless cars and smart cities. His work addresses adversarial attacks on machine learning and reinforcement learning, with applications in cybersecurity and healthcare. Behzadan has held prior positions at Kansas State University, University of Nevada Reno, and University of Birmingham, UK. He holds a Ph.D. in Computer Science and an M.S. from the University of Nevada Reno, and a B.Eng. from the University of Birmingham. His research spans AI ethics, cybersecurity, and complex systems. Behzadan advises the UNH hacking team and actively participates in policy initiatives, including Connecticut's AI Working Group and the Connecticut AI Alliance. He has contributed to over 30 peer-reviewed articles and frequently engages in media discussions on topics like AI safety, facial recognition, and cybersecurity threats. Key research areas include adversarial machine learning, AI forensics, and ethical AI design. His work bridges theoretical advancements with real-world applications in transportation, healthcare, and national security. Behzadan collaborates with organizations such as the Transportation Research Laboratory (TRL) and Open Web Application Security Project (OWASP).

• Neuroscience
• Artificial Intelligence
• Neuronal Modeling
• +5 more

Eilif B. MULLER is a Professor in the Department of Neurosciences at Université de Montréal, Principal Investigator of the Architectures of Biological Learning Lab (ABL-Lab) at CHU Sainte-Justine Research Center, and Associate Faculty at Mila (Quebec AI Institute). His work bridges neuroscience and artificial intelligence, focusing on understanding how sensory perception is learned in the neocortex through biophysical simulations and deep learning models. He holds affiliations with IVADO (Institute for Data Valorization) and contributes to strategic initiatives like the UNIQUE Québec Center. His research integrates empirical neurophysiology with computational models, exploring dendritic processing and synaptic plasticity to inform both biological understanding and AI advancements. Teaches NSC-6044 and NSC-6045 (Neuroscience Colloquia) at Université de Montréal. Leads projects on neocortical learning mechanisms and their implications for neurodevelopmental disorders. Recipient of grants from CRSNG (Natural Sciences and Engineering Research Council), FRSQ (Health Research Fund), and institutional funding. Publications span topics in computational neuroscience, neural network modeling, and interdisciplinary AI-neuroscience research. Collaborates extensively across institutions to advance large-scale brain simulations and data-driven models.

Ueli MaurerView profile

Professor

• Information Security
• Cryptography
• Theoretical Computer Science
• +2 more

Ueli Maurer is a Full Professor of Computer Science at ETH Zurich and heads the Information Security and Cryptography research group. He received his diploma and Ph.D. in Electrical Engineering from ETH Zurich in 1985 and 1990 respectively. After a fellowship at Princeton University, his research focuses on foundational aspects of cryptography and information security. Education Diploma in Electrical Engineering, ETH Zurich (1985) Ph.D. in Electrical Engineering, ETH Zurich (1990) DIMACS Research Fellow, Princeton University (1990-1991) His research spans information security, cryptographic protocols, discrete mathematics, and theoretical computer science. Key areas include provably secure systems design, digital signatures, public-key infrastructures, and trust management. His work bridges theoretical foundations with practical applications in digital security. His publications demonstrate a consistent focus on advancing cryptographic theory and security proofs. Recent works explore anamorphic encryption, blockchain security frameworks, and composable protocol design. Primary trends include privacy-preserving communication, adaptive security models, and information-theoretic approaches to cryptography. Awards & Honors IEEE Fellow ACM Fellow IACR Fellow Member, German Academy of Sciences (Leopoldina) Rademacher Lecturer (2000) Vodafone Innovation Award (2013) RSA Mathematics Award (2016) TCC Test-of-Time Award (2016) He advises doctoral students on cryptographic protocols and security proofs. His research group works on diverse projects including secure multi-party computation and blockchain technologies. He co-founded the Zurich Symposium on Privacy and Security and serves on editorial boards of major cryptography journals.

Bhavin J. ShastriView profile

Assistant Professor

• Silicon Photonics
• Nanophotonics
• Photonic Integrated Circuits
• +5 more

Bhavin J. Shastri is an Assistant Professor in the Department of Physics, Engineering Physics and Astronomy at Queen's University in Canada. His research explores the physics of light for computing , pushing frontiers in information and signal processing through photonic computing and quantum/neuromorphic photonics . He is affiliated with the Centre for Nanophotonics and NUCLEUS , a pan-Canadian photonic computing program funded by NSERC CREATE, bridging artificial intelligence and quantum information . Canada Research Chair & Principal Investigator Faculty Affiliate at Vector Institute (2020-) Editorial Board Member of JPhys Photonics (2019-) Member of IEEE Photonics Society Technical Affairs Council (2019-) Visiting Researcher Scholar at Princeton University (2018-) Shastri Lab members have access to world-class shared facilities, including the Centre for Nanophotonics (CFI-Innovation Fund), Nanofabrication Kingston , the Centre for Advanced Computing , and the Digital Research Alliance of Canada . The lab takes an interdisciplinary approach combining nanophotonics with complex systems on emerging substrates. His research focuses on silicon photonics , nanophonic processors , and photonic integrated circuits with applications to deep learning , nonlinear programming , and quantum information science . His articles show consistent exploration of quantum photonic neural networks , photonic memory systems , and optical signal processing for machine learning and quantum technologies . 2020 IUPAP Young Scientist Prize in Optics 2014 Banting Postdoctoral Fellowship 2012 D. W. Ambridge Prize 2011 IEEE Photonics Society Graduate Student Fellowship 2011 NSERC Postdoctoral Fellowship Multiple Best Student Paper Awards Shastri's lab supervises Ph.D. candidates and postdoctoral fellows working on quantum photonics , neuromorphic computing , and photonic AI systems . His recent work includes photonic tensor cores for scientific computing , quantum photonic neural networks , and all-optical memory systems. Shastri Lab designs programmable nanophotonic processors with potential to outperform microelectronic processors in energy efficiency and computational speeds by seven and four orders of magnitude respectively. Their work spans from device design to system-level implementations in optical computing for machine learning and quantum information processing .

Iliev AtanasView profile

Associate Professor

• Electric Power Systems
• Optimization Algorithms
• Renewable Energy Systems
• +3 more

Assoc. Prof. Iliev Atanas is affiliated with the Faculty of Electrical Engineering and Information Technologies (FEIT) at the Ss. Cyril and Methodius University of Skopje. He holds the position of Associate Professor at the Institute for Power Plants and Switchgear. His academic journey includes a PhD (2003), MSc (1993), and BSc (1987) in Electrical Engineering from FEIT. His work experience spans over three decades, starting as a Junior Assistant (1987–1994), progressing to Assistant Professor (1994–2008), and attaining his current rank in 2008. His research focuses on optimizing power systems through advanced algorithms, particularly genetic algorithms applied to unit commitment, hydrothermal scheduling, and microgrid management. Key areas include renewable energy integration, grid reliability, and security-constrained optimization. He has contributed to over 50 publications addressing topics like dynamic programming for hybrid power systems, fuzzy logic for hydroelectric project evaluation, and reliability modeling of substations under distributed generation uncertainty. Notable contributions include developing novel self-adaptive genetic algorithms for short-term scheduling and energy management in hybrid systems. His work bridges theoretical optimization with practical grid challenges, emphasizing sustainability and resilience in power infrastructure.

Shimeng YuView profile

Professor

• Semiconductor Devices
• Non-Volatile Memories
• 3D Integration
• +5 more

Shimeng Yu is a full professor at the Georgia Institute of Technology's School of Electrical and Computer Engineering, holding the Dean’s Professorship. He earned his B.S. from Peking University (2009) and M.S./Ph.D. from Stanford University (2011/2013). His research focuses on semiconductor devices, non-volatile memories, 3D integration, and AI hardware accelerators. Yu leads SRC/DARPA JUMP 2.0 centers on memory/storage and 3D integration, with over 400 publications and 30,000+ citations (H-index 82). He serves on flagship conference committees (e.g., IEDM, VLSI) and editorial boards (IEEE EDL, JETCAS). Education: B.S., Microelectronics, Peking University (2009) M.S./Ph.D., Electrical Engineering, Stanford University (2011/2013) Research Themes: Emerging non-volatile memories for AI Monolithic 3D integration Energy-efficient computing systems His work spans device fabrication, circuit design, and system-level co-optimization. Recent projects are funded by NSF, DARPA, DOE, and industry partners (TSMC, Intel, Samsung), totaling >$17M. His lab, located at the Pettit Microelectronics Research Center, develops prototypes with cleanroom access. Awards: IEEE Fellow (2024) ACM/IEEE DAC Under-40 Innovators Award (2020) NSF CAREER Award (2016) Multiple editorship roles and distinguished lecturer appointments (IEEE EDS/CASS) Grants & Funding: Lead of two SRC/DARPA JUMP 2.0 centers Total research funding exceeds $17M

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +6 more

Talal Shaikh is an Associate Professor at Heriot-Watt University's School of Mathematical and Computer Sciences in Dubai. He serves as Director of Undergraduate Studies and Programme Director for BSc Computer Science, BSc CS (AI), and MSc Software Engineering. With a decade of industry experience as a Chief Information Officer and Software Engineer, he bridges practical insights with academic research. Research Interests: Pervasive Computing, IoT/M2M, AI/ML, WiFi Sensing for Healthcare, Financial Machine Learning, Educational Technology Awards: Teaching Excellence Awards (2017/18), Fellow of the Higher Education Academy (FHEA), multiple Learning and Teaching Oscars (2016, 2017, 2018) His work spans Ubiquitous Computing and IoT , focusing on sensor networks and WiFi-based sensing for healthcare. In Artificial Intelligence , he applies ML to robotics, financial analytics, and educational innovation. Recent articles analyze Reinforcement Learning , Emotion Recognition , and WiFi Sensing applications. His teaching emphasizes student-centric learning, with over 100 supervised dissertations achieving distinctions. Collaborations include international conferences and interdisciplinary research in smart environments and adaptive systems.