Find Academic Supervisors

Pengfei SuView profile

Assistant Professor

• Programming Languages
• Static and Dynamic Program Analysis
• High-performance/Parallel Computing
• +4 more

Pengfei Su is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, Merced , leading the HPCSA Group . His research focuses on programming languages, program analysis, high-performance/parallel computing, ML systems, and software engineering, with applications in optimizing software inefficiencies through advanced profiling and analysis tools. PhD from William & Mary (2021) MS from Institute of Computing Technology, Chinese Academy of Sciences (2016) BE from Yunnan University (2013) His research interests span: Programming Languages and Compiler Design Static and Dynamic Program Analysis High-performance/Parallel Computing ML Systems and Software Engineering Recent publications and grants highlight his work in performance tracing , memory optimization , and AI accelerator selection . Notably, his group received an NSF grant (2025) and developed tools like pprof++ for Go profiling. Scientific awards include: NSF CAREER Award (2025) Hellman Fellows Award (2024) Best Paper Award at PPoPP (2019) He actively mentors students in PhD research (Dinghong Song, Haide He, Xingjian Ding) and undergraduate research (Jayden John), with past advisees including Mao Lin (now at Uber) and Tahea Hossain.

Patrick SinsView profile

Lecturer

• Self-regulated learning
• Teacher professional development
• Educational innovation
• +7 more

Dr. Patrick Sins is a Lecturer in Learning at Rotterdam University of Applied Sciences and holds a parallel role at Thomas More University of Applied Sciences . His work bridges education, research, and practice-based innovation, with a focus on equipping teachers to foster self-regulated learning in students. Education: Cognitive Psychology, Maastricht University PhD in Education, University of Amsterdam (2006) Research Interests Central to his work is self-regulated learning , emphasizing strategies like goal-setting, prior knowledge activation, and metacognitive reflection. He investigates teacher professional development , particularly in secondary and primary education contexts, and evaluates interventions to enhance pedagogical practices. His research extends to sustainable education , including the European Green Deal, and sociocultural learning in knowledge communities. Article Trends Recent publications highlight self-regulated learning across education levels, comparing Montessori, Dalton, and traditional methods. He explores the intersection of socioscientific issues with citizenship education and the role of digital tools in fostering learner autonomy. Projects like the European Assembly for a Sustainable Europe (EASE) and Building Self-Regulated Learning Together (MOZAIC) reflect his commitment to scalable educational innovation. Collaboration & Impact Co-leads the Research Group on Educational Innovation at Thomas More University. Works with the Teacher Education Institute and Study Skills for Study Success expertise group to align research with regional educational practice. Coordinates the Knowledge Center for Talent Development consortium for multi-year practice-based research agendas.

Arsen Vruyr VardanyanView profile

Lecturer

• Armenian language and speech culture
• Speech etiquette and communication skills
• Lexicology and semantics of modern Armenian
• +1 more

Arsen Vruyr Vardanyan is a Lecturer in the Department of Armenian Language at Yerevan State University’s Faculty of Armenian Philology. Since 2020 he has delivered undergraduate courses in Armenian linguistics, lexicology and literature pedagogy. In parallel, he has been active in secondary and adult education, serving as Armenian language teacher and methodological coordinator in several Yerevan schools and NGOs. Education PhD applicant, Faculty of Armenian Philology, Yerevan State University (2023 – present) Master’s degree, Department of Armenian Language, Yerevan State University (2011 – 2013) Bachelor’s degree, Faculty of Philology, Gavar State University (2007 – 2011) Research Focus His scholarly work centres on the modern Armenian language, with particular attention to speech etiquette, lexico-semantic analysis, and innovative methods of teaching Armenian language and literature. He explores how linguistic norms shape communication culture and designs pedagogical strategies that integrate interactive and interdisciplinary approaches. Recent publications reveal a dual trajectory: theoretical linguistic studies examining lexical choices in advertising discourse, and applied educational research culminating in a series of grade-level literature textbooks that are already adopted in Armenian secondary schools. Scientific & Educational Contributions Co-author of the literature textbook series "Գրականություն 7, 8, 9" (2023-2025) Participant, 38th Summer Intensive Course in Armenian Language and Culture, Venice, Italy (August 2024) Speaker, International Conference "Current Issues in the Study and Teaching of the Armenian Language", NAS RA (February 2024) Professional Service & Outreach Teacher trainer, "Hope and Future" NGO (KZNAK Foundation) – 2021-present Methodological coordinator, Global Bridge Educational Complex – 2019-present Armenian language and literature teacher, multiple secondary schools (2013-present)

Lindsay DresangView profile

Associate Professor

• Metastasis
• Tumor Biology
• Virology
• +3 more

Lindsay Dresang serves as an Associate Professor in the Department of Biology at the University of Wisconsin-Stevens Point, where she teaches Human Anatomy, Survey of Human Dissection, Cancer Biology, and Virology. Her research program investigates liver metastasis using immunocompromised mouse models and explores viral oncology mechanisms, particularly Merkel cell polyomavirus and Epstein-Barr virus. In 2024, she received the UW-Stevens Point University Award for Excellence in Teaching for her innovative pedagogical approaches in anatomy education. Her academic credentials include advanced training in cancer biology and virology: Post-doctoral Fellow, University of Pittsburgh Cancer Institute Ph.D. in Cancer Biology, University of Wisconsin–Madison, School of Medicine and Public Health B.S. in Natural Sciences (Genetics), University of Wisconsin–Madison, College of Agricultural Sciences Dr. Dresang's research integrates molecular oncology and virology through transcriptomic and proteomic analyses of metastatic cancer cell lines, with emphasis on liver metastasis pathways and viral oncogenesis. Her parallel interest in teaching as research drives curriculum development for dissection-based anatomy courses and cancer biology education, creating synergies between her laboratory investigations and classroom instruction. Publication trends from 2009-2024 reveal an evolving research trajectory: early work focused on Epstein-Barr virus mechanisms (2009-2011), transitioning to Merkel cell carcinoma therapeutics (2013), then expanding into comparative metastasis genomics (2021-2022), with her most recent 2024 publication bridging anatomical education and clinical applications through brachial plexus visualization. Her professional recognition includes: UW-Stevens Point University Award for Excellence in Teaching (2024) Dr. Dresang maintains active membership in key professional societies: American Association for Anatomy Human Anatomy & Physiology Society Faculty of 1000 Prime (Peer Reviewer) Gamma Sigma Delta (Honor Society in Agricultural Sciences) Phi Theta Kappa (Two-year Colleges Honor Society) She teaches diverse courses including General Biology, Cancer Biology, Virology, and senior-level research seminars, demonstrating commitment to both undergraduate education and advancing cancer research. While specific grant details and student advising records aren't documented in available sources, her publication record and course load indicate active mentorship of research students in molecular oncology and anatomical sciences.

Eva DarulovaView profile

Associate Professor

• Programming Languages
• Software Verification
• Program Synthesis
• +3 more

Eva Darulova is an Associate Professor at the Department of Information Technology, Uppsala University, and Adjunct Faculty at Max Planck Institute for Software Systems (MPI-SWS). Previously held tenure-track faculty at MPI-SWS and completed her PhD at École Polytechnique Fédérale de Lausanne (EPFL) under Viktor Kuncak. Current research: Applications in numerical/embedded domains, program synthesis, software verification, approximate computing Key projects: Blossom (fuzzing), Lassie (HOL4 tactics), Pine (floating-point loops), LTLTalk (robot instruction), Incarnate (3D printing), Icing (compiler semantics), Flipper (NLP interface), FloVer (error checking), Daisy (accuracy analysis), Rosa (real compiler) Teaching: Program Design (2021/22), Program Synthesis (2021), Program Analysis (multiple years), Advanced Program Analysis (2019), Static Program Analysis (2017), Approximate Computing seminar (2016) Service: Artifact evaluation chair (ASPLOS'22), PC member (ECOOP'22, ESEC/FSE'22, EMSOFT'21, PLDI'21) Research Trends: Focus on numerical computing verification, approximate computing frameworks, and program synthesis techniques. Publications span TACAS, EMSOFT, ISSTA, POPL, CAV, FMCAD, TOPLAS, with emphasis on floating-point error analysis, mixed-precision optimization, and compiler verification. Scientific Recognition: Nominated for EAPLS best paper award (TACAS'21). Co-advisor for Anastasiia Izycheva and mentor for multiple MSc/BSc students including Mustafa Hafidi, Joachim Bard, Nikita Zyuzin, Youcef Merah, Safya Alzayat, Anastasiia Izycheva. Collaborations: Works with researchers at EPFL, MPI-SWS, University of Saarland, University of Washington, and Saarbrücken/Kaiserslautern institutions.

Carmen CampilloView profile

Teaching Professor

• Sociology
• Human Sciences
• Art
• +2 more

Carmen Campillo is a Principal Teaching Fellow at IÉSEG School of Management, part of the Catholic University of Lille, France. She earned her Ph.D. in Human Sciences and Sociology (Art) from the University of Artois in 2017 and holds a Master's degree in Spanish language from the University of Lille 3 (2008). Her academic career spans over two decades, focusing on language education, particularly Spanish, for both Bachelor and Master cycles. 2017: Ph.D., Human Sciences and Sociology, Art - University of Artois, France 2008: Master in Language (Spanish) - University of Lille 3, France Her research interests bridge sociology, human sciences, and the arts, with a pedagogical emphasis on language acquisition and communication. As Head of the Languages track at IÉSEG, she has designed and delivered courses such as Espanol para la Comunicacion and Espagnol across multiple levels since 2001. She has also maintained a parallel role as a Lecturer at the Catholic University of Lille since 2000, specializing in Spanish language instruction.

Frank MuellerView profile

Professor

• Architecture and Operating Systems
• Cloud Computing
• Embedded and Real-Time Systems
• +4 more

Frank Mueller is a Professor in the Department of Computer Science at North Carolina State University, actively contributing to high-performance computing, embedded systems, and quantum computing research. His technical focus spans operating systems, parallel and distributed systems, and software engineering. Current affiliations: NSF Quantum Leap Challenge Institute , International Workshop on Integrating High-Performance and Quantum Computing , and ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming program committee. Recent research explores real-time scheduling ( WHPQC ), quantum error correction ( QCE 2024 ), and OpenMP extensions for real-time systems. His publications emphasize cross-layer optimization in heterogeneous systems, with notable work on GPUDirect performance analysis and quantum co-design. Awards include ACM Fellow , IEEE Fellow , and multiple NSF Career Grants . Teaching: Parallel Systems , Real-Time Systems , and Quantum Computing Tutorials . Professional service: Participating in IEEE HPCA and EMSOFT program committees.

Caitlin SlaneyView profile

Lecturer

• Speech Pathology
• Communication Disabilities
• Augmentative and Alternative Communication
• +4 more

Caitlin Slaney serves as a Clinical Educator and Lecturer in Speech Pathology at Charles Sturt University's School of Allied Health, Exercise and Sports Sciences, based at the Community Engagement & Wellness Centre in Albury/Wodonga. As a PhD Candidate researching community participation for preschool children with Complex Communication Needs, her work directly supports UN Sustainable Development Goals for inclusive education and reduced inequalities. Education: Bachelor of Health Science (Speech Pathology) with Honours, Charles Sturt University (2015) PhD Candidate, Charles Sturt University (2022–present) Research Focus: Slaney's work centers on dismantling systemic barriers for individuals with disabilities through three interconnected pillars: community participation (examining environmental facilitators for children with communication needs), communication accessibility (developing AAC strategies for inclusive community activities), and methodological innovation (applying ethnography to capture authentic participant experiences). Her research deliberately shifts power dynamics by prioritizing participant voices through collaborative frameworks. Publication Trends: Recent outputs (2021-2025) reveal a strategic evolution from foundational ethnographic studies in dance classes for adults with disabilities toward targeted investigations of preschool community participation. This trajectory demonstrates growing emphasis on practical implementation of AAC in real-world settings, coupled with parallel research on virtual work-integrated learning for speech pathology students. Scientific Recognition: Charles Sturt Excellence Awards: Social Responsibility (Highly Commended, 2023) Teaching & Mentorship: Slaney delivers undergraduate and Master's level instruction in communication disabilities and AAC, integrating clinical insights from her 8+ years of early intervention practice. She actively develops hands-on learning experiences through Charles Sturt's Teaching First program and Digital Learning Team collaborations, with recent focus on telepractice competency development for students. Professional Integration: As an active member of the Community Engagement & Wellness Centre, Slaney bridges academic and community contexts through collaborations with the AAC EBP Network, AGOSCI, and interdisciplinary teams including occupational therapists. Her media engagements (2024) demonstrate commitment to public translation of research on communication barriers for young children.

Sam SilvestroView profile

Assistant Professor

• Computer Security
• Systems Programming
• Performance Profiling
• +3 more

Sam Silvestro is an Assistant Professor of Instruction in the Department of Computer Science at the University of Texas at San Antonio (UTSA). He is affiliated with the College of Sciences and focuses on teaching and research in systems programming, memory management, and computer security. His work emphasizes practical solutions for production software reliability and security. Education: Ph.D. in Computer Science, UTSA B.S. in Computer Science, UTSA Research Interests: Silvestro’s research centers on secure memory allocation systems, fault diagnosis in production environments, and concurrency control mechanisms. He develops tools like Guarder and Freeguard to enhance heap allocator security while maintaining performance. His work also addresses deadlock prevention and automated failure diagnosis through projects like Watcher and Undead. Publications: His recent work spans memory profiling (MemPerf), in-situ failure diagnosis (WATCHER), and multithreaded debugging (iReplayer), reflecting a consistent focus on production system reliability and security. Scientific Awards: None explicitly listed in provided texts. Advising & Grants: No specific advisees or grants mentioned. Teaching focuses include parallel systems and systems programming courses. Labs/Teams: No dedicated lab/team details provided, but collaborations likely occur through UTSA’s computer science infrastructure.

Binoy RavindranView profile

Professor

• Computer Systems
• Operating Systems
• Concurrency
• +7 more

Binoy Ravindran is a Professor and Bradley Senior Faculty Fellow in the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Systems Software Research Group. He holds a Ph.D. from The University of Texas at Arlington (1998). His research focuses on computer systems, emphasizing security, performance, energy efficiency, and timeliness in areas like concurrent, heterogeneous, distributed, and real-time computing. Recent projects include the Low-level Reasoning Machine (LLRM), Popcorn Linux, and LibrettOS. He teaches courses such as ECE/CS 5510 (Multiprocessor Programming), ECE/CS 5544 (Compiler Optimizations), and ECE 5984/SS (Modern Binary Exploitation). His service roles include editorial board positions at IEEE Transactions on Cloud Computing and ACM Transactions on Embedded Computing Systems, and he co-chaired ACM Systor 2025. Ravindran has published over 330 papers, earning nine best paper awards, and has mentored 26 PhD students, 23 postdocs, and 11 research faculty. Notable honors include ACM Distinguished Scientist and an Office of Naval Research Faculty Fellowship. His research group explores projects like LLRM (binary security verification), Popcorn Linux (heterogeneous ISA systems), and KairosVM (real-time hypervisor). Recent advancements include Stramash OS (ASPLOS'25) and Hexo (DOD infrastructure offloading).

Luca PezzarossaView profile

Associate Professor

• Real-Time Systems
• Digital Microfluidics
• Compiler Optimizations
• +7 more

Luca Pezzarossa is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark (DTU). His research focuses on real-time systems, embedded computer systems, digital microfluidics, compiler optimizations, and hardware accelerators. He leads projects such as the Edu4Chip: Joint Education for Advanced Chip Design in Europe initiative and supervises PhD students in areas like compiler optimizations for neural networks and speech enhancement algorithms. His academic journey includes contributions to interdisciplinary fields, combining computer engineering with biomedical applications such as biochip design and PCR optimization. He actively engages in open-source tool development, particularly using the Chisel framework for hardware design education and research. Key research themes include: Real-time systems and time-predictable architectures Compiler-driven optimizations for constrained devices Digital microfluidics for lab-on-a-chip systems Edge computing and TinyML applications Recent publications highlight innovations in microplastic detection on edge devices, dynamic channel pruning for speech enhancement, and parallel execution engines for digital microfluidics. His work aligns with sustainable development goals through environmental applications and energy-efficient technologies. Current projects involve: PhD Supervision: Andrea Cerioli (Compiler Optimizations), Riccardo Miccini (AI-to-Neural Network Mapping), Ehsan Khodadad (Time-predictable Systems) Research Grants: EU-funded Edu4Chip (2023–2025), multiple industry-academia collaborations Labs and teams: Leads the Embedded Systems Engineering group at DTU, focusing on interdisciplinary hardware-software co-design for real-world applications. Active in developing open-source frameworks for education and research.

Mark C. JeffreyView profile

Assistant Professor

• Computer Architecture
• Parallel Computing
• Computer Systems
• +3 more

Mark C. Jeffrey is an Assistant Professor in the Edward S. Rogers Sr. Department of Electrical and Computer Engineering at the University of Toronto, cross-appointed to the Department of Computer Science. His research focuses on computer architecture and systems, aiming to simplify parallel programming for software engineers through novel compilers and large-scale multicore architectures. Previously, he was a Research Scientist at Facebook AI Research and earned his PhD from MIT under Daniel Sanchez. He holds a MASc and BASc from the University of Toronto. Education: PhD in Computer Science, MIT (2019) MASc in Computer Engineering, University of Toronto (2011) BASc in Engineering Science, University of Toronto (2009) Research interests include parallel computing, compilers, multicore architectures, and energy-efficient systems. His work bridges hardware-software co-design to enable scalable parallelism in modern systems. Notable awards include the George M. Sprowls PhD Thesis Award (2nd place, 2019), Best Paper at NoCArc 2023, and a Best Paper Award at ARC 2010. He teaches advanced courses in computer architecture and parallel programming (ECE1755, ECE552). His GitHub repository bf-intersect explores Bloom filter configurations for address-set disambiguation, tied to his SPAA 2011 and MASc thesis work.

• Image Processing
• Computer Vision
• Intelligent Systems
• +3 more

Ariel Caputo-Dep is a Temporary Assistant Professor at the University of Verona, affiliated with the Department of Engineering for Innovation Medicine within the School of Engineering. His research focuses on Image Processing and Computer Vision , including medical image analysis, 3D segmentation, and optical flow processing, as well as Intelligent Systems and Analytics , encompassing data-driven methodologies for engineering applications. He is actively involved in academic governance, serving as a member of the Information Engineering Teaching Committee and the Department Council for Innovation Medicine Engineering . In teaching, he has instructed courses such as Extended Reality and Advanced Interaction (Master's level), HCI – Intelligent Interfaces , and Basic Information Technology (Bachelor's level) across multiple academic years (2020–2025). Caputo-Dep collaborates with research laboratories including INTELLIGO Labs and Electronic Systems Design (ESD) , contributing to cutting-edge projects in embedded systems and parallel computing. His work intersects interdisciplinary areas like biomedical engineering and human-computer interaction.

Ali ManzakView profile

Academic

• Low Power VLSI Design
• Embedded Systems
• Mixed-Signal IC Design
• +3 more

Ali Manzak is an Assistant Teaching Professor in the Department of Electrical and Computer Engineering at Florida State University (FSU). He holds a M.Sc. in Control Systems from the University of Colorado Boulder and a Ph.D. in VLSI Systems from Arizona State University. Prior to academia, he worked as a digital IC design engineer at Lattice Semiconductor in California. His research focuses on low-power VLSI design, embedded systems, mixed-signal IC design, and hardware implementation of machine learning algorithms. He actively contributes to academia through teaching and lab supervision, designing ICs for both educational and research purposes. Education: Ph.D., Electrical Engineering (VLSI Systems), Arizona State University M.Sc., Electrical Engineering (Control Systems), University of Colorado Boulder Research Interests: Dr. Manzak’s work emphasizes energy-efficient VLSI circuits, emerging nanotechnologies like carbon nanotube FETs, and applying machine learning to hardware systems. His publications span IEEE journals and conferences, addressing topics such as power-aware cache design, low-power latch optimization, and AI-driven solutions for electromagnetic problems. Teaching & Labs: He instructs courses like EEL 3705/L, EEL 3927, and EEL 4742/L, and maintains hands-on IC design experience across multiple platforms. His labs integrate industry practices with academic research, fostering practical engineering skills.

Deborah KnowlesView profile

Associate Professor

• Gender in Organisations
• Women's Entrepreneurship
• Qualitative Research Methods
• +3 more

Deborah Knowles serves as Assistant Head of the School of Organisations, Economy and Society within Westminster Business School at the University of Westminster. Her multifaceted roles include Course Leader for the BA (Hons) International Business degree, Module Leader for three undergraduate modules across all levels, and Module Leader for the postgraduate "Managers and Organisations" module in the MA Management program. She also supervises MA and PhD theses while actively conducting research. Her educational background includes a PhD (2000) and MA (1993) from Anglia Ruskin University, PGCE (1980) from Leeds University, and BA (1978) from Leeds Polytechnic. As a Senior Fellow of the Higher Education Academy, she demonstrates commitment to pedagogical excellence. Knowles' research centers on gender in organisations , women's entrepreneurship , and qualitative research methods , with groundbreaking work establishing psychogeography as a legitimate business research methodology since 2008. Her current Strategic Research Fund project "Interpreting the silence of Women: Gender and the Publication of Letters to the Financial Times" examines gendered voice in media. Gender representation in business ownership narratives Feminist applications of psychogeography Qualitative methodological innovation Women's entrepreneurial success metrics Media voice disparity analysis Urban space in organisational studies Her publication trends reveal consistent exploration of gender dynamics through innovative qualitative lenses, particularly psychogeography and literary analysis. Recent work integrates fictional narratives (Joyce's Ulysses) and historical parallels (Defoe's Plague Year) into organisational studies, demonstrating interdisciplinary creativity. Awarded Senior Fellow of the Higher Education Academy, Knowles maintains active research funding through university strategic grants. Her current project on Financial Times letters exemplifies ongoing institutional support for gender-focused research. As a thesis supervisor for MA and PhD students including Vasilii Penny (completed doctoral research on innovation in shared leadership teams), she contributes to academic development. Her teaching spans undergraduate modules "Introduction to Management," "Organisational Behaviour," and "International Business Dissertation," plus postgraduate "Managers and Organisations" instruction. Knowles collaborates within the Entrepreneurship Research Group and Centre for Employment Research, where her psychogeographical approach informs collective methodologies. Current projects exploring media representation and crisis response demonstrate the group's interdisciplinary reach.