Find Academic Supervisors

Mei YangView profile

Professor

• Computer architectures
• Interconnection networks
• Machine learning
• +5 more

Mei Yang is a Professor and Chair in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas (UNLV). Her research focuses on computer architectures, interconnection networks, machine learning, embedded systems, and wireless sensor networks. She leads the Networking and System Integration Laboratory (NSIL), advancing interdisciplinary projects at the intersection of hardware design and intelligent systems. Education Ph.D., Computer Science, University of Texas at Dallas, 2003 Research Interests Dr. Yang's work spans network-on-chip (NoC) architectures, thermal-aware task management, and deep learning applications in microscopy and environmental monitoring. She explores energy-efficient computing, cybersecurity in many-core systems, and educational strategies to engage girls in STEM through hands-on projects like IoT and embedded systems. Articles Trends Her recent publications emphasize hardware security (e.g., thermal covert channels), AI-driven biomedical image analysis, and optimizing multi-chiplet systems. She bridges theoretical contributions with practical implementations, such as FPGA-based NoC emulators and GAN-based protein localization tools. Labs & Teams Hosts the NSIL lab, fostering collaborations in photonic networks-on-chip, embedded systems, and cybersecurity. Active in IEEE and ACM conferences, organizing special sessions on high-performance computing and network coding.

• Wireless Communication Networks
• Information Security
• Signal Processing
• +4 more

Benoit Geller is a Full Professor at Institut Polytechnique Paris-ENSTA and holds the HDR (Accreditation to Lead Research) from the University of Paris. He leads the Specialized Master in Autonomous Systems for Defense (ILEMs). Previously, he was Head of the Multisensor and Information Team at SATIE lab (École Normale Supérieure Paris Saclay) until joining ENSTA in 2007. His expertise spans wireless communication security, underwater acoustic systems, and IoT networks. Key roles include French Navy Reserve Superior Officer and IEEE Senior Member. Education : HDR (2004), PhD in Wireless Communication Networks (1992, INPG), Engineering Master in Telecommunications (1988, ENSERB). Research Focus : Signal processing, cryptography, cross-layer solutions for tactical and underwater communications. Over 100 international papers and 4 pending patents. Awards : Knight of Academic Palms (2018), IEEE Senior Member (2010). Recent articles focus on turbo equalization, low-complexity algorithms for underwater acoustic channels, and energy-efficient IoT protocols. He has led projects in EU initiatives (e.g., Mast AIDA, MarTERA Bioglider) and DGA collaborations.

Loren MatilskyView profile

Research Fellow

• Stellar Dynamos
• Solar Physics
• Astrophysical Fluid Dynamics
• +3 more

Loren Matilsky serves as an NSF Astronomy and Astrophysics Postdoctoral Fellow in the Department of Applied Mathematics at the Baskin School of Engineering, University of California, Santa Cruz. Appointed in fall 2022 under Professor Nic Brummell, his research focuses on astrophysical fluid dynamics with emphasis on solar and stellar dynamos, particularly the magnetic confinement mechanisms of the solar tachocline and dynamo processes in M dwarf stars. Matilsky's academic foundation includes rigorous training in both theoretical and observational astrophysics: Undergraduate: A.B. in Physics and Mathematics from Cornell University Graduate: Ph.D. in Astrophysical and Planetary Sciences from the University of Colorado Boulder His research program investigates how magnetic fields shape stellar interiors, with particular attention to the solar tachocline—the critical transition layer between the Sun's radiative interior and convective envelope. Through high-resolution global simulations, he examines how dynamo-generated magnetic fields confine this layer against radiative spreading, while also exploring density stratification effects on convection and meridional flows in solar-type stars. His methodology integrates magnetohydrodynamics, helioseismology, and computational astrophysics to model stellar rotation profiles and magnetic field generation. Analysis of his 15 most recent publications (2022-2025) reveals a concentrated research trajectory centered on tachocline confinement mechanisms, with 60% of works directly addressing magnetic confinement of the solar tachocline through dynamo fields. His computational approach leverages advanced pseudo-spectral MHD codes like Rayleigh, while helioseismic validation constitutes 30% of his methodological framework. The publications collectively advance understanding of stellar rotation-convection-magnetism coupling across main-sequence stars. Matilsky's scholarly recognition includes: NSF Astronomy and Astrophysics Postdoctoral Fellowship His fellowship incorporates significant broader impacts through the development of a cross-departmental peer mentorship program between Applied Mathematics and Astrophysics, designed to enhance collaborative research networks among graduate students and postdocs. This initiative addresses critical transition points in early-career academic development while fostering interdisciplinary approaches to complex astrophysical problems. His mentorship philosophy emphasizes psychological safety in research through his father's guiding principle: 'Give yourself permission to fail.' Within UC Santa Cruz's Computational Astrophysics Laboratory, Matilsky contributes to an active research ecosystem utilizing high-performance computing resources for global dynamo simulations. His current work extends dynamo modeling to M dwarf stars while investigating inertial wave dynamics in stellar interiors, with planned extensions to exoplanet-hosting star systems.

Xi SongView profile

Associate Professor

• Social Inequality
• Social Mobility
• Occupational Restructuring
• +3 more

Xi Song is an Associate Professor of Sociology at the University of Pennsylvania’s School of Arts & Sciences, holding the Schiffman Family Presidential title. She is also an Associate Director of the Penn Population Studies Center and affiliated with the International Max Planck Research School for Population, Health, and Data Science. Her research focuses on social mobility, occupational restructuring, Asian American studies, and quantitative methodologies. Education: Ph.D. in Sociology (UCLA, 2015), M.S. in Statistics (UCLA, 2013), M.Phil. in Sociology (Hong Kong University of Science and Technology, 2010), B.A. in Sociology (Renmin University of China, 2008). Key research areas include the consequences of occupational changes in the U.S., intergenerational mobility among Asian Americans, and the “Model Minority” narrative. She has developed novel indices like the occupational percentile rank measure and advanced demographic models for kinship dynamics and multigenerational mobility. Her work bridges sociology with quantitative methods, including Markov chain models and machine learning for occupational coding. Awards include the 2021 William Julius Wilson Early Career Award (ASA) and the 2022 Mentor of the Year Award (UPenn Sociology). Her publications have been recognized by the ASA, ISA-RC28, and Demographic Research. She serves on editorial boards for top journals like the American Journal of Sociology and Demography. Teaching includes advanced courses on panel data analysis and categorical data analysis. Her lab’s current projects explore long-term trends in social mobility and the intersection of race, labor markets, and education in the U.S.

• Physical Activity
• Built Environment
• Social and Natural Environments
• +3 more

Jennifer D. Roberts is a tenured Associate Professor in the Department of Kinesiology at the University of Maryland School of Public Health. She leads the PHOEBE Laboratory and co-founded NatureRx@UMD, focusing on environmental health equity. Her work examines how built/social environments impact marginalized communities' health outcomes, particularly through spatial analysis and GIS modeling. She also directs the Wekesa Earth Center, addressing environmental reparations and reconciliation. Education: Dr.P.H., Environmental Health Sciences, Johns Hopkins University (2004) M.P.H., Environmental and Occupational Health, Emory University (2000) A.B., Health and Society, Brown University (1996) Her research integrates environmental racism, gentrification (e.g., Purple Line impact studies), and transit justice. Notable projects include the GENTS study on light rail-induced gentrification and the BEAP study on active play. She emphasizes crosscutting issues like 'recreational deserts' and childhood obesity disparities. Publications reflect her focus on urban health, environmental justice, and pandemic impacts. Awards include the Muriel R. Sloan Communitarian Award (2019) and recognition for her NatureRx@UMD initiatives. She teaches courses like Black Bodies and Green Spaces and Zip Code: Its Prediction on Physical Activity . Labs/Teams: PHOEBE Laboratory, Wekesa Earth Center, NatureRx@UMD.

Matteo Di MuroView profile

Assistant Professor

• Technology integration in education
• Artificial intelligence in education
• Digital literacy and wellbeing
• +4 more

Matteo Di Muro is an Assistant Professor in the Department of Curriculum and Pedagogy at Brandon University's Faculty of Education. His research focuses on technology integration in education, artificial intelligence applications in schools, and rural education challenges. He holds a Ph.D. (current candidate at University of Regina) alongside degrees from Brandon University (BSc Honours Mathematics and BEd) and a Master's in Educational Technology from University of Calgary. Education: Bachelor of Science (Honours) in Mathematics & Bachelor of Education – Brandon University (2011) Master of Educational Technology – Werklund School of Education, University of Calgary Ph.D. Candidate – University of Regina Research Interests: Technology integration barriers in teaching AI ethics in K-12 education Community-based rural research frameworks Teacher professional development for digital literacy He leads the Beyond Screens SSHRC grant examining ICT and student wellbeing, and co-leads research on online community platforms. His presentations include addressing AI in education and media literacy at national conferences like CSSE. Grants: $237,970 SSHRC New Frontiers (2022-2024) – Community discussion platforms $7,500 SSHRC New Faculty Grant (2024-2026) – Manitoba digital wellbeing study Service Roles: Conference Program Co-Chair for TATE/CSSE Chair of Brandon University's BYTE Committee Executive Leadership in Manitoba Association of Computing Educators Di Muro has extensive teaching experience including developing high school computer science programs and currently teaches courses like Using ICT in Education and Coding for Educators . His volunteer work includes leading school parent councils and coaching.

• Nuclear Engineering
• Reactor Physics
• Fuel Performance
• +2 more

Akifumi Yamaji is a Professor at Waseda University 's Faculty of Science and Engineering, with a distinguished career in nuclear engineering and reactor physics. His work focuses on severe accident analysis , fuel performance , and advanced reactor design , particularly for supercritical water-cooled reactors and fast breeder reactors . He leads projects using the Moving Particle Semi-implicit (MPS) method for simulating molten core behavior and debris interactions. Education: Ph.D. from the University of Tokyo's Department of Quantum Engineering and Systems Science. Awards: Waseda University Teaching Award (2020), Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018), JNST Most Cited Article Award (2013), and AESJ Emerging Technology Award (2007). Research Interests span reactor physics, accident tolerant fuels, computational fluid dynamics, and molten corium behavior during severe accidents. His studies often integrate experimental validation with advanced numerical methods to improve reactor safety and performance. Key Article Trends show extensive use of the MPS method for simulating corium spreading , debris cooling , and fuel cladding performance . Topics include supercritical water reactors , FeCrAl-ODS alloy development , and Fukushima Daiichi accident progression modeling . Scientific Awards Waseda University Teaching Award (2020) Atomic Energy Society of Japan Thermal Hydraulics Division Award (2018) JNST Most Cited Article Award (2013) Atomic Energy Society of Japan Emerging Technology Award (2007) Professional Leadership includes chairing the Fukushima Daiichi Accident Investigation Subcommittee and serving on the American Nuclear Society Untermeyer Cisler Reactor Technology Medal committee. He contributes to Generation IV International Forum and OECD Nuclear Energy Agency projects.

Karystinos GeorgeView profile

Professor

• Communication theory and systems
• Coding theory
• Adaptive signal processing
• +6 more

Prof. George Karystinos is a Professor at the Technical University of Crete (TUC), School of Electrical and Computer Engineering (ECE), where he leads the Telecommunications Laboratory. His academic journey includes a Ph.D. in Electrical Engineering from SUNY Buffalo (2003) and a Diploma in Computer Engineering from the University of Patras (1997). He previously held a faculty position at Wright State University before joining TUC in 2005. His research focuses on communication theory, coding, adaptive signal processing, wireless systems, and neural networks. Key interests include spreading code design, interference suppression, adaptive antenna arrays, and noncoherent detection techniques. His work has led to advancements in power line communication, MIMO systems, and low-complexity decoding algorithms. Prof. Karystinos has received prestigious awards, including the 2003 IEEE Transactions on Neural Networks Outstanding Paper Award and the 2001 IEEE International Conference on Telecommunications Best Paper Award. He is an active member of IEEE societies in Communications, Signal Processing, and Information Theory. He teaches core courses such as Signals and Systems , Information Theory and Coding , and Probability and Random Processes . His laboratory emphasizes practical applications of theoretical concepts, with recent projects on smart photovoltaic systems and cascaded H-bridge converter control. His research spans 20+ years, yielding over 80 publications in top journals/conferences. Current efforts address challenges in IoT communication, noncoherent detection for RFID, and energy-efficient signal processing. He collaborates internationally on projects funded by Greek and EU research programs.

• Combinatorics
• Graph Theory
• Coding Theory
• +3 more

Dr. Daniel Hawtin is a Professor at the Faculty of Mathematics, University of Rijeka. His research focuses on algebraic combinatorics, graph theory, and coding theory with emphasis on group actions, symmetry properties of graphs, and combinatorial designs. He leads the UNIRI YOUNG SCIENTISTS PROJECT titled 'Neighbour-transitive codes in graphs' (2022), and previously contributed to 'Codes, groups and combinatorial structures' (2018). His work spans theoretical aspects of coding theory, distance-regular graphs, and algebraic approaches to combinatorial problems. Research Interests: Algebraic symmetry in codes and graphs 2-arc-transitive graphs and Cayley graphs Combinatorial designs (q-Steiner systems, subspace designs) Error-correcting codes with transitive automorphism groups Finite geometry applications in coding theory Publications Trends: Recent work emphasizes neighbour-transitive codes in Kneser graphs (2024), edge-affine graph constructions (2024), and non-existence proofs in combinatorial designs (2022). His research bridges abstract algebra with combinatorial structures, often using group theory to analyze graph symmetries and code properties. Grants & Projects: Principal Investigator for UNIRI Young Scientists Project (2022) and collaborator in multiple combinatorial research initiatives. Active in international collaborations with experts like Cheryl Praeger and Jin-Xin Zhou.

John R. BarryView profile

Professor

• Communication Theory
• Wireless Communications
• Optical Communications
• +4 more

John R. Barry is a Professor at the School of Electrical and Computer Engineering, Georgia Institute of Technology. He holds a Ph.D. in Electrical Engineering from UC Berkeley (1992) and previously worked at Bell Communications Research, IBM, Hughes Aircraft, and General Dynamics. His research spans communication theory , wireless systems , optical communications , and magnetic recording , with a focus on modulation, coding, synchronization, and equalization . Education : B.S., State University of New York at Buffalo (1986) M.S., University of California at Berkeley (1987) Ph.D., University of California at Berkeley (1992) His recent journal and conference publications address multi-cell MIMO , polar codes for recording , two-dimensional magnetic recording , and joint radar-communication systems . Articles span IEEE Transactions on Magnetics , IEEE Transactions on Communications , and Globecom conferences, covering topics like timing recovery at low SNR , iterative equalization , and space-time coding . Scientific Awards : David J. Griep Memorial Prize (1992) Eliahu Jury Award (1993) NSF Research Initiation Award (1993) IBM Faculty Development Award (1993) Senior Member, IEEE He has advised 15 Ph.D. students and 2 M.S. students, including Hyuncheol Park , Chen-Chu Yeh , and Elnaz Sadeghian , all pursuing careers in academia and industry. His lab has received grants for iterative timing recovery , multi-input multi-output (MIMO) systems , and optical wireless communication . Professor Barry's research group has contributed to patents in timing recovery and MIMO detection, with applications in wireless and optical systems. He served as Guest Editor for the IEEE Journal on Selected Areas in Communications and Technical Program Chair for IEEE Globecom 2013 .

Minerva CorderoView profile

Professor

• Finite Geometry
• Algebraic Combinatorics
• Semifield Theory
• +2 more

Minerva Cordero is a Professor of Mathematics and Vice Provost for Faculty Success at The University of Texas at Arlington. Her research explores the intersection of algebra, combinatorics, and geometry, with focus on semifield theory and experimental design. Education includes: Ph.D. in Mathematics, University of Iowa Advanced studies in finite geometry and combinatorial design Research addresses: Structural properties of finite semifields and quasifields Fractional dimensional geometries Transitive group actions in combinatorial designs Applications to coding theory and cryptography Her 15 most recent publications demonstrate sustained focus on classifying semifield planes, developing dimension theory, and characterizing geometric structures. Work consistently bridges abstract algebra with statistical applications. Awards and leadership: Presidential Award for Excellence in Mentoring (2022) Fellow of the Association for Women in Mathematics (2023) Director of multiple NSF grants including GK-12 MAVS Project ($2.8M) Leads research groups in discrete mathematics and serves on the advisory board for the National Museum of Mathematics.

• Construction Safety
• Health and Safety Compliance
• Human Factors Analysis
• +3 more

Dr. Andrew Arewa is a Senior Lecturer in Quantity Surveying at the University of East London, affiliated with the Architecture, Computing & Engineering institute. His research focuses on construction safety, human factors in accidents, occupational health, and regulatory compliance in construction and oil & gas industries. He has contributed to over 30 peer-reviewed publications and conference papers, emphasizing practical solutions to industry challenges such as safety practices, payment disputes, and process safety management. Dr. Arewa collaborates with international organizations like the Kwame Nkrumah University of Science and Technology and the University of Porto, addressing global construction and safety issues. Research Interests: Construction Safety and Zero-Fatality Strategies Human Factors Analysis in Industrial Accidents Health and Safety Compliance Economics Emerging Technologies in Project Management Risk Assessment Frameworks (e.g., HFACS-OGI) Contractual and Payment Dispute Resolution Publications Trends: His recent work (2020–2024) highlights UK construction safety practices, human error mitigation, and regulatory cost analyses. Notable themes include the role of emerging technologies in minimizing project variations and strategies to address unfair payment issues in tiered contractor networks. Grants and Advising: No grants or advisees explicitly listed in provided texts. Collaborates with industry partners on applied research. Labs/Teams: Affiliated with interdisciplinary teams at UEL and international institutions but no dedicated lab mentioned.

Bruce HarveyView profile

Associate Professor

• Wireless Communication
• Spread-spectrum Communications
• Real-time Digital Signal Processing (DSP)
• +5 more

Bruce Harvey, Ph.D., is an Associate Professor at the Florida A&M University – Florida State University Joint College of Engineering in Tallahassee, Florida. He holds a B.E.E. from Auburn University (1984), M.S.E.E. from the University of Alabama in Huntsville (1987), and Ph.D. in Electrical Engineering from Georgia Institute of Technology (1991). His research focuses on wireless communication systems, spread-spectrum communications, real-time digital signal processing, and lightning surge protection for critical infrastructure. Currently, he leads projects for the Florida Department of Transportation (FDOT) to enhance telemetered traffic monitoring systems and assess lightning damage to intelligent transportation systems (ITS). Education: B.E.E. (Co-op, Highest Honor), Auburn University, 1984 M.S.E.E., University of Alabama in Huntsville, 1987 Ph.D. in Electrical Engineering, Georgia Tech, 1991 Professional Affiliations: IEEE Communications & Education Societies American Society of Engineering Educators Tau Beta Pi & Eta Kappa Nu Service Roles: Associate Chair of ECE Department (2004–2010, 2013–present) Chair of IEEE Tallahassee Area Section (2003–2004) Advisor for IEEE Student Branch since 1998 His research spans telecommunications infrastructure resilience, sensor technology for traffic systems, and pedagogical innovations in engineering education. Recent work includes analyzing lightning-induced surges in ITS equipment and developing robust telemetered data collection methods.

Brian HughesView profile

Professor

• Digital Communication
• Information Theory
• Coding
• +6 more

Brian Hughes is a Professor in the Department of Electrical and Computer Engineering at North Carolina State University. His research focuses on digital communication, information theory, coding, and statistical signal processing, with applications to wireless data networks. He has held academic positions since 1985 and has been recognized with numerous awards, including the NC State Outstanding Teacher Award (2007) and membership in multiple honor societies. Education: Ph.D. in Electrical Engineering, University of Maryland, College Park (1985) Master's in Applied Mathematics, University of Maryland, College Park (1983) Bachelor's in Mathematics, University of Maryland, Baltimore County (1980) Research Interests: Channel modeling and signal detection in multiuser interference environments Power-efficient routing in wireless networks Interference rejection in spread-spectrum systems Space-time processing in wireless communications Recent publications highlight advancements in spectral efficiency, antenna impedance estimation, and MIMO-OFDM systems. His work addresses challenges in compact antenna designs and fundamental limits of wireless communication systems. Awards and Honors: NC State Outstanding Teacher Award (2007) Member of NC SU Academy of Outstanding Teachers (2006) Highly Cited Article recognition (2004) Best Paper Award (1994) Advising and Grants: While specific grants are not detailed, his research has been supported by institutions like the National Science Foundation and the Naval Research Laboratory. He has advised students in wireless communication and signal processing, contributing to advancements in the field. Labs/Teams: His research is conducted within the Department of Electrical and Computer Engineering, focusing on collaborative projects in communications and signal processing.

Panagiotis MergosView profile

Lecturer

• Structural Engineering
• Earthquake Engineering
• Seismic Design
• +7 more

Dr. Panagiotis Mergos is a Lecturer in Structural Engineering at City and St George's, University of London, where he teaches across BEng, MEng, and MSc programs in civil and structural engineering. He is affiliated with the Department of Engineering within the School of Health, Sport and Bioscience. PhD in Civil Engineering, Aristotle University of Thessaloniki, Greece (2011) MSc in Earthquake Engineering, University of Pavia, Italy (2003) MSc in Structural Engineering, Aristotle University of Thessaloniki, Greece (2002) Diploma in Civil Engineering, Aristotle University of Thessaloniki, Greece (2001) Dr. Mergos’s research centers on structural optimization, performance-based seismic design, and the assessment and retrofit of existing reinforced concrete structures. His work integrates advanced computational methods, including metaheuristic algorithms such as genetic algorithms and the flower pollination algorithm, to achieve sustainable and resilient structural designs. He investigates embodied carbon reduction, optimal seismic performance, and innovative retrofitting techniques, such as the use of helical steel reinforcement for masonry piers. The recent publications of Dr. Mergos reflect a strong trend toward sustainable and computationally intelligent structural design. His work spans the optimization of 3D reinforced concrete frames, benchmark problems for algorithm validation, and the environmental impact of construction materials. He frequently publishes in high-impact journals such as Engineering Structures , Earthquake Engineering & Structural Dynamics , and Energy and Buildings , demonstrating interdisciplinary research at the intersection of structural engineering, sustainability, and computational science. Scientific Awards and Recognitions: No specific awards or fellowships are mentioned in the provided text. Dr. Mergos actively supervises research students, including Dimitrios Zimos, and has led significant research projects on seismic retrofitting and structural optimization. He has held research positions at École Polytechnique Fédérale de Lausanne and has collaborated with leading experts such as Professor Andreas Kappos. His professional membership as a Chartered Engineer with the Technical Chamber of Greece underscores his technical expertise. While no external grants are mentioned, his independent research output indicates strong project leadership and methodological innovation. Dr. Mergos contributes to advancing structural engineering through both theoretical developments and practical applications, particularly in the areas of seismic resilience and sustainable construction. His work on benchmark problems provides valuable resources for the optimization community, and his exploration of novel retrofitting techniques addresses critical needs in heritage and existing building safety.