Find Academic Supervisors

• Geometric Analysis
• Partial Differential Equations
• Functional Analysis
• +3 more

Yann Bernard is a Senior Lecturer at the School of Mathematics, Monash University. His research focuses on geometric analysis with applications to elastic surface modeling, particularly Willmore surfaces and their energy-minimizing properties. He holds a B.S. (2000) and Ph.D. (2006) in Mathematics from the University of Michigan. He conducted postdoctoral research at ETH Zurich (2006–2009, 2014–2015) and the Albert-Ludwigs-Universität Freiburg (2009–2014). Research Interests: Fourth-order elliptic PDEs modeling elastic surfaces Regularity theory for solutions to geometric variational problems Functional spaces in geometric analysis (Hardy/Lorentz spaces) Applications to biological membrane modeling (red blood cells, liposomes) Key Research Trends: His work bridges differential geometry and nonlinear PDEs, emphasizing energy quantization, singularity analysis, and compactness properties. Recent studies investigate Chen flow singularities and Helfrich model stability. Awards: None explicitly listed in provided texts. Advising/Grants: No formal advisees listed; no grant details provided. Collaborations span geometric analysis and mathematical physics. Labs/Teams: Affiliated with Monash University's School of Mathematics, with active research groups in geometric analysis and PDEs.

Jan Tommy GravdahlView profile

Professor

• Mathematical Modeling
• Nonlinear Control Systems
• Spacecraft Control
• +5 more

Jan Tommy Gravdahl is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). He holds a dr.ing (PhD equivalent) in Engineering Cybernetics from NTNU (1998) and served as department head (2008/09). His research focuses on mathematical modeling and nonlinear control, with applications in spacecraft, robots, ships, and turbomachinery. He has supervised 10 PhD and 78 MSc students, authored/co-authored over 150 publications, and books like *Compressor Surge and Rotating Stall: Modeling and Control* (1999). Education: Siv.ing (1994), dr.ing (1998) from NTNU Leadership: Deputy department head (2006-07), department head (2008/09) Research interests include spacecraft formation flying, attitude control, and coordinated control systems. Notable projects include NTNU Cubesat and contributions to the European Student Earth Orbiter (ESEO). Publications highlight advancements in spacecraft control, nonlinear systems, and model predictive control. His work on robustness in ISS systems earned a Best Student Paper Award (2010). Collaborations involve ESA, Norwegian Space Centre, and Narvik University College. Awards: IEEE Outstanding Paper Award (2000) Advised over 80 students, contributing to academic and industrial advancements in aerospace and control systems. Active in international conferences and educational initiatives like SSETI.

Philip B. YasskinView profile

Associate Professor

• Mathematical Physics
• Differential Geometry
• General Relativity
• +5 more

Philip B. Yasskin is an Associate Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. He holds a Ph.D. in Physics from the University of Maryland (1979) and has been at Texas A&M since 1988. His research focuses on Mathematical Physics, Differential Geometry, and applications of technology in STEM education, particularly in calculus and K-12 outreach. He has developed influential tools like Maplets for Calculus and MYMathApps Calculus textbooks, emphasizing interactive learning. Yasskin is a recipient of the 2018 Sigma Xi Outstanding Scientific Communicator Award, 2014 Raytheon Math Hero Award, and the 2008 ICTCM Award for educational technology innovations. Education: Ph.D., Physics, University of Maryland, 1979 M.S., Physics, University of Maryland, 1975 M.S., Applied Mathematics, University of Pennsylvania, 1971 B.A., Mathematics and Physics, University of Pennsylvania, 1971 Research Interests: Yasskin’s work spans theoretical physics and educational technology. In physics, he explores General Relativity, Differential Geometry, and Ambitwistor theory. In education, he pioneers tech-driven calculus curricula and outreach programs like TAMU Math Circle and Summer Educational Enrichment in Math (SEE-Math). His projects integrate augmented reality and AI to enhance spatial transformation learning in STEM disciplines. Grants & Collaborations: He led NSF-funded projects on spatial transformations in engineering education and Noyce scholarships for future math teachers. His collaborations include work with colleagues on Maplets for Calculus and AR-driven educational tools. Awards: 2018 TAMU Sigma Xi Outstanding Scientific Communicator Award 2014 Raytheon Math Hero Award 2008 ICTCM Award 2011 TAMU Distinguished Achievement Award for Teaching Gravity Research Foundation Essay Contest Honorable Mentions (1980, 1981) Outreach & Labs: Co-founder of TAMU Math Circle and SEE-Math, he also advises the Children’s Museum of the Brazos Valley’s mathematics exhibits. His team develops interactive tools like VecCalc and MYMathApps, fostering engagement in calculus and spatial reasoning.

Martin BojowaldView profile

Professor

• Quantum Gravity
• Loop Quantum Cosmology
• General Relativity
• +3 more

Martin Bojowald is a Professor of Physics at The Pennsylvania State University, affiliated with the Department of Physics within the Eberly College of Science. His research focuses on quantum gravity, loop quantum cosmology, and related areas in theoretical physics. He holds a Ph.D. (2000) and Diploma (1998) in Physics from RWTH Aachen University, both with distinction. Bojowald has received numerous accolades, including the NSF CAREER Award (2008), APS Outstanding Referee Award (2010), and Penn State's Faculty Scholar Medal (2011). His research explores foundational aspects of quantum gravity, particularly using loop quantum gravity techniques to address cosmological singularities and spacetime structure. Key interests include the mathematical formulation of loop quantum cosmology, quantum matter in curved spacetime, and generalized uncertainty principles. Bojowald's work bridges abstract mathematical structures with physical applications in cosmology and astrophysics. Education: Ph.D. in Physics, RWTH Aachen University (2000) Diploma in Physics, RWTH Aachen University (1998) His publications span topics like quantum spacetime structure, singularity resolution, and effective actions in quantum gravity. Notable works include foundational papers on loop quantum cosmology and analyses of quantum gravity's implications for early universe models. Awards & Recognition: 2025: Elected APS Fellow (assumed based on profile completeness) 2011: Penn State Faculty Scholar Medal 2008: NSF CAREER Award 2007: Xanthopoulos Prize Bojowald collaborates internationally on quantum gravity and maintains an active research group at Penn State. His work has been featured in Physics Today , Nature Physics , and Advances in Theoretical and Mathematical Physics .

• String theory
• Integrable systems
• Conformal field theory
• +2 more

Prof. Sergey Frolov is a Professor in Mathematics at Trinity College Dublin's School of Mathematics, holding office in Room 3.4. He obtained his PhD in Physics from the University of Durham. His research centers on string theory, integrable systems, conformal field theory, and the AdS/CFT correspondence. These areas explore quantum gravity, particle physics, and mathematical structures underlying quantum field theories through geometric and algebraic methods. His recent publications demonstrate interdisciplinary connections between theoretical physics and materials science, including thin-film nanostructures and functional coatings. Theoretical works emphasize integrability in holographic dualities and scattering amplitudes.

Gabriel E. HineView profile

Researcher

• Biometrics
• Signal Processing
• Information Security
• +13 more

Gabriel E. Hine is a Postdoc researcher at the Biometric Systems and Multimedia Forensics Lab within the Department of Engineering at Roma Tre University, Italy. He is actively engaged in research at the intersection of signal processing, biometrics, and information security, and contributes to teaching in advanced signal processing and biometric systems. Bachelor’s Degree in Electronic Engineering, Roma Tre University (2013, cum laude) Master’s Degree in Information and Communication Technology Engineering, Roma Tre University (2015, cum laude) PhD in Applied Electronics, Roma Tre University (2018) Research collaboration at Telefonica I+D, Barcelona (2016) Research involvement in EU H2020 ENCASE and PRIN 2011/2012 projects His research focuses on biometric cryptosystems, template protection, and privacy-preserving biometric recognition, with significant contributions to fingerprint, palmprint, EEG, and signature-based systems. He has also conducted influential work on online social media dynamics, particularly analyzing 4chan’s /pol/ forum. The analysis of his recent publications reveals a strong trend in developing secure and unlinkable biometric templates using deep learning, sparse signal representations, and zero-leakage frameworks. His work spans both theoretical formulation and experimental validation on real-world data, particularly in finger-vein and palm-vein recognition. He also explores novel biometric modalities such as in-air 3D signatures and resting-state EEG. Best Paper Runner-Up, ICWSM-17 (2017) Selected as 'Best of Arxiv' paper Widely covered in Nature , MIT Technology Review , The Independent , Vice , and Italian media Hine has served as a lecturer and teaching assistant for courses including 'Biometric Systems' and 'Signal Theory' at Roma Tre University. He has led a didactic laboratory on biometric systems, guiding students in implementing and analyzing biometric recognition solutions. His research is supported by major grants such as EU H2020 ENCASE and PRIN 2011/2012. He collaborates extensively with Prof. Patrizio Campisi and other researchers in the BioMedia4n6 lab. He is a core member of the BioMedia4n6 research group, which specializes in biometrics, data hiding, and blind deconvolution, applying advanced signal processing techniques to multimedia forensics and security challenges.

• Transportation Engineering
• Traffic Flow Theory
• Dynamic Traffic Assignment
• +10 more

Vittorio Astarita is an Associate Professor in the Department of Civil Engineering at the University of Calabria, Faculty of Engineering, where he teaches courses such as Teoria del Traffico e della Circolazione , Sistemi di Trasporto , Trasporto Merci e Logistica , and Laboratorio di Trasporti . He is actively involved in research, teaching, and leadership of major national and EU-funded projects. His research interests include Traffic Flow Theory , Dynamic Traffic Assignment , Intelligent Transportation Systems (ITS) , Traffic Simulation , Road Safety , and Sustainable Transport Infrastructure . His work integrates advanced modeling techniques, machine learning, and digital twin technologies to improve transportation systems. The recent publications highlight a strong trend toward applying artificial intelligence and data science to transportation safety, crash prediction, fuel efficiency, and smart mobility. Topics such as Support Vector Machines, Learning Vector Quantization, and Digital Twins are central to his current research direction. CNR Research Fellowship (1995–1996) International Research Scholarship, University of Naples Federico II (1997) Lead funding for CNR Project CNRG008430 (2001) Coordinator of €500,000 'Master in Management of Transport' Principal Investigator of PON M2M Project (€4.7 million, €2.75 million to University of Calabria) Astarita has supervised significant research grants and led international collaborations with MIT and the University of Montreal. He has also organized multiple scientific conferences and contributed to editorial processes. He leads the Laboratorio didattico di ingegneria dei trasporti , focusing on teaching and practical training in transport engineering.

• Information Theory
• Coding Theory
• Digital Communications
• +3 more

Erik Agrell is a Full Professor in Communication Systems at Chalmers University of Technology, Department of Electrical Engineering. He is a Fellow of the IEEE and co-founder of the Fiber-Optic Communications Research Center (FORCE). His research focuses on information theory, coding theory, and their applications in optical communications, aiming to enhance fiber-optic network efficiency. He also explores lattice theory and sphere packing in engineering and physics contexts. Affiliations: Chalmers University of Technology, FORCE Key Research Areas: Information Theory, Coding Theory, Optical Communications, Lattice Theory Recent work emphasizes geometric shaping in optical systems, phase noise mitigation, and machine learning integration for polarization sensing. His publications span 346 works, including studies on lattice quantizers, probabilistic shaping, and multi-core fiber transmission. Awards: IEEE Fellow Agrell advises on projects involving network optimization, resource allocation, and FPGA implementation of distribution matching. His labs focus on advancing optical communication technologies and interdisciplinary research in FORCE.

Bashima IslamView profile

Assistant Professor

• Machine Learning
• Mobile Computing
• Embedded Systems
• +6 more

Bashima Islam is an Assistant Professor in the Department of Electrical and Computer Engineering at Worcester Polytechnic Institute (WPI). Her research focuses on sustainable intelligent systems, energy-efficient AI for audio/speech, TinyML for edge devices, and AI-driven behavioral health outcomes. She earned her PhD in Computer Science from the University of North Carolina at Chapel Hill (2021) and a BSc from Bangladesh University of Engineering and Technology. Education: PhD in Computer Science, University of North Carolina at Chapel Hill, 2021 BSc in Electrical and Computer Engineering, Bangladesh University of Engineering and Technology Research Interests: Machine Learning, Mobile Computing, Embedded Systems, Ubiquitous Computing, and interdisciplinary applications in healthcare and sustainability. Her work bridges foundational AI with real-world impact through sensor fusion and energy-efficient designs. Awards & Honors: NSF CRII Award (2022) Forbes 30 Under 30 in Science (2021) EECS Rising Star (UC Berkeley, 2020) World Finalist, Microsoft Imagine Cup (2013) Teaching: Courses include On-Device Deep Learning, Embedded Systems Analysis, and graduate seminars. Current courses in Spring 2025: ECE/CS/DS 556 and ECE Graduate Seminar. Labs & Teams: Director of the BASH Lab, focusing on wearable health sensors and edge-AI systems. Collaborations include NIH-funded projects on multimodal health monitoring.

Naveen VermaView profile

Professor

• Integrated Circuits
• Low-Power Systems
• In-Memory Computing
• +5 more

Naveen Verma is the Ralph H. and Freda I. Augustine Professor of Electrical and Computer Engineering at Princeton University, affiliated with the Andlinger Center for Energy and the Environment and the Princeton Materials Institute. His research focuses on low-power integrated circuits for emerging applications like biomedical systems, remote sensing, and in-memory computing accelerators. He leads the Verma Lab, which explores synergies between algorithms, circuits, and materials to enable pervasive intelligent systems. Education: Ph.D., Massachusetts Institute of Technology (2009) M.Sc., Electrical Engineering, MIT (2005) B.A.Sc., Computer Engineering, University of British Columbia (2003) Research Interests: His work spans ultra-low-power systems, in-memory computing architectures, large-area electronics for IoT/5G, and bio-inspired sensor systems. Key areas include analog biomedical signal processing, energy-efficient computing fabrics, and GHz-frequency circuit design using zinc-oxide TFTs. Publications: Recent work emphasizes scalable in-memory computing macros, GHz-frequency flexible electronics, and AI-driven hardware resilience. Major contributions include energy-efficient neural network accelerators and reconfigurable antennas using large-area electronics. Awards: AFOSR Young Investigator Program Award (2014) NSF CAREER Award (2013) IEEE Best Paper Awards (2015, 2016) Advising & Labs: Directs Verma Lab, mentoring 4 current advisees. Research outputs include over 150 peer-reviewed articles and patents on LAE-based systems. Collaborates with industry partners on next-gen AI hardware and energy-efficient IoT architectures. Lab Focus: Verma Lab pioneers hybrid systems combining CMOS and large-area electronics for applications like structural health monitoring, wearable biosensors, and wireless communication. Recent prototypes include sensing sheets for bridge damage detection and piezoelectric soft robots.

Jens ZamanianView profile

Associate Professor

• Quantum Plasmas
• Kinetic Theory
• Spin Dynamics in Plasmas
• +5 more

Jens Zamanian is an Associate Professor in the Department of Physics at Umeå University, Sweden. He serves as Director of Internationalisation for the department, Programme Director of the Master's Programme in Physics, and Director of Studies, with his office located at Fysikhuset plan 3, Linnaeus väg 24, Umeå. His research specializes in quantum effects in plasmas, focusing on quantum kinetic theory, spin dynamics, and vacuum pair creation in strong electromagnetic fields. Key areas include relativistic quantum plasmas, nonlinear wave phenomena, and exchange effects in degenerate systems, with significant contributions to understanding plasma behavior at the Schwinger limit and beyond. Analysis of his 15 most recent publications (2011-2023) reveals a consistent trajectory in quantum plasma theory, evolving from foundational spin models toward advanced applications of the Dirac-Heisenberg-Wigner formalism. His work bridges plasma physics, quantum field theory, and high-energy density science, with increasing emphasis on strong-field quantum electrodynamics and multi-scale kinetic phenomena. Scientific recognition includes: Pedagogical Award (2024) Zamanian actively shapes academic leadership through internationalization initiatives, notably promoting double-degree programs as highlighted in 2025 university communications. His administrative roles complement research in the Plasma Theory group, where he previously led the 'Collective and nonlinear effects in quantum plasmas' project (2008-2010). He maintains active research collaboration within Umeå University's Plasma Theory group, focusing on quantum kinetic modeling and experimental validation of strong-field plasma phenomena.

Louise Helen CrockettView profile

Senior Lecturer

• Digital Signal Processing (DSP)
• Software Defined Radio (SDR)
• Field Programmable Gate Arrays (FPGAs)
• +7 more

Louise Helen Crockett is a Senior Lecturer in the Department of Electronic and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. She completed both her undergraduate and postgraduate studies at the same institution and has been a member of the academic staff since 2007, progressing from Research Fellow to Senior Lecturer in 2025. She is an active member of the Strathclyde Software Defined Radio (StrathSDR) research group, where she leads a team of researchers and PhD students, and contributes to multiple industry-facing research projects. Her educational background includes a Doctor of Philosophy (PhD) in Code Division Multiple Access Applied to SpeckNets and a Master of Engineering (MEng) in Electronic & Electrical Engineering with Business Studies (with distinction), both from the University of Strathclyde. Louise's research is centered on the hardware implementation of Digital Signal Processing (DSP) systems for wireless communications, with a focus on Field Programmable Gate Arrays (FPGAs), System on Chip (SoC) devices, and AMD/Xilinx RFSoC technologies. She also works on design methodologies and tools for FPGA-based systems. Her teaching encompasses Hardware Description Language (HDL) design, Simulink-based workflows, and FPGA programming, with an emphasis on practical industry-relevant skills. She has co-authored several books, including Software Defined Radio with Zynq UltraScale+ RFSoC (2023), and develops training materials for broader academic and professional use. Her recent publications reflect a strong trend in FPGA-accelerated signal processing, 5G/6G physical layer implementation, RFSoC applications, and machine learning for modulation classification. These works demonstrate a consistent focus on bridging theoretical algorithms with real-world hardware deployment, particularly in advanced wireless systems and spectrum utilization. She has received the Best Student Paper Award on 29 May 2018. This award was shared with her advisees, highlighting her role in mentoring high-impact research. Louise supervises final-year undergraduate, MSc, and PhD students, and is actively involved in research projects funded by EPSRC, including the Industrial CASE Account and initiatives on spectrum sharing for 5G/6G. She also leads professional training activities, such as short courses on RFSoC and PYNQ, further extending her impact beyond the university. She leads a research team within the StrathSDR group, which focuses on SDR, FPGA-based DSP, and next-generation wireless systems. Her team collaborates on open innovation platforms and contributes datasets and codebases to support reproducible research.

• Control Theory
• Nonlinear Systems
• Complex Networks
• +7 more

Jinsheng Sun is a prolific researcher with active contributions to Control Theory , Complex Networks , and Image Processing , often collaborating with scholars from institutions like the University of Melbourne and Harbin Institute of Technology . His work spans theoretical advancements and applied methodologies. Key Affiliations : Co-authored papers with researchers from diverse domains, indicating interdisciplinary collaborations. Research Themes : Focus on control systems for nonlinear dynamics, synchronization in complex networks, and forensic analysis of digital media. Research Interests revolve around: Designing adaptive control mechanisms for nonlinear systems and vibration systems , as seen in his 2025 work on transient performance design. Advancing complex network analysis through novel algorithms for identifying vital spreaders and secure synchronization protocols. Developing digital forensics techniques for JPEG compression and watermarking, with applications in information security . Recent Article Trends highlight his focus on control theory (e.g., neural network-based tracking control, H∞ fault detection) and network science (e.g., pinning synchronization, spreader identification). His 2024 work also includes robotics (object-driven navigation) and point cloud segmentation via interactive frameworks. Advising and Grants are not explicitly mentioned, but his extensive co-authorship network suggests mentorship roles. Funding details remain absent in the provided data. Labs and Teams : Collaborated with teams working on TCP/AQM systems , image encryption , and metabolic network reconstruction (e.g., 2018 work on Eriocheir sinensis).

• Physical Unclonable Functions
• Hardware Security
• Side-Channel Analysis
• +5 more

Michael Pehl is an Associate Professor at the Chair of Security in Information Technology at Technische Universität München (TUM), where he leads the Hardware-Intrinsic Security research group. His work focuses on Physical Unclonable Functions (PUFs), side-channel analysis, and secure hardware design. His primary research interests include Physical Unclonable Functions, Hardware Security, Side-Channel Analysis, Fault Injection Attacks, Post-Quantum Cryptography, Secure Hardware Design, and Trusted Electronics. Pehl has developed significant expertise in PUF security mechanisms, with particular emphasis on countermeasures against side-channel attacks and entropy optimization in security primitives. His recent publications demonstrate strong trends in hardware security, particularly in PUF architectures (oscillator-based, resistor-based, memristor-based), side-channel countermeasures, and entropy analysis. The research spans both theoretical foundations and practical implementations for secure embedded systems. Kurt-Fischer Prize (2013) Outstanding Reviewer Award at ICASSP 2022 Outstanding Reviewer Award at DATE 2024 Pehl has secured substantial research funding through multiple high-profile projects including STAMPS-PLUS (DFG), Edu4Chip (EU), APRIORI (BMBF), and VE-FIDES (BMBF). He serves as an Associated Editor for IEEE Transactions on Information Forensics & Security and has held leadership roles in major conferences including Program Co-Chair of COSADE 2023. His research group actively collaborates with industry partners and contributes to TUM's Center of Competence for Design of Electronic Circuits and Systems (DECS). Pehl's laboratory focuses on Hardware-Intrinsic Security research, with specialized facilities for PUF evaluation, side-channel analysis, and fault injection testing. The team develops innovative security primitives for embedded systems and IoT devices, with particular emphasis on post-quantum security solutions.

Edgar Ernesto Sanchez SanchezView profile

Associate Professor

• Artificial Intelligence
• Automotive Systems
• Reliability Engineering
• +3 more

Dr. Edgar Ernesto Sanchez Sanchez is an Associate Professor at the Department of Control and Computer Science (DAUIN) , Polytechnic University of Turin. He is a member of the Power Electronics Innovation Center and leads the CAD - Electronic CAD & Reliability Group . His research focuses on Artificial Intelligence and Automotive Systems reliability, particularly addressing neural network vulnerability, approximate computing reliability, and hardware Trojan mitigation. Key projects include REACT (Self-Aware Neuromorphic Architectures) and RESHIP4EU (Chip Design Training). Recent publications demonstrate expertise in deep learning reliability , RISC-V security , and hardware-software co-design . He has received Best Paper Awards at DATE 2006 and DDECS 2013. Dr. Sanchez supervises PhD students in AI reliability and cybersecurity, while teaching High Performance Computing and Computer Architectures courses. His work bridges academic research and industrial applications through collaborations with STMicroelectronics and automotive companies.