Find Academic Supervisors

• Computer Science
• Artificial Intelligence
• Antenna Engineering
• +7 more

Josefa Gómez Pérez is a Professor in the Department of Computer Science at Universidad de Alcalá. She holds a PhD in Computer Science from the same institution (2011), focusing on CAD tools for electromagnetic analysis of complex structures under supervision of Dr. Manuel Felipe Cátedra Pérez and Dr. Iván González Diego. Her research spans multiple areas including antenna design optimization, numerical methods for engineering problems, gamification in education, medical image analysis, and computer vision applications. She is affiliated with research groups such as the Climate Physics Group (CPG), Group of Advanced Numerical Techniques (GTNA), and TIFyC (Information Technologies for Training and Knowledge). Her work frequently integrates bio-inspired algorithms and web-based tools for solving engineering challenges. Key areas of contribution include developing simulation tools for radio propagation using OpenStreetMap data, optimizing antenna positioning with genetic algorithms, and enhancing educational engagement through gamified platforms. She has also explored interdisciplinary topics like class imbalance mitigation in medical AI and gender perspectives in engineering career choices. Josefa has authored numerous publications in top venues, with recent focus on AI-human interaction, 3D reconstruction techniques, and educational technology innovations. Notable tools she has developed include the NewFasant Suite, DSEXAMS automated questionnaire system, and LearningRlab educational package.

• Electrical Engineering
• Renewable Energy Systems
• Optimization Algorithms
• +3 more

Ricardo Mallol Poyato is an Associate Professor at the University of Alcalá, affiliated with the Department of Signal and Communication Theory within the College of Engineering. His research focuses on optimization algorithms applied to energy systems, particularly in microgrid design, renewable energy integration, and evolutionary computation. He leads the GHEODE research group (Modern Heuristics and Network Design Research Group), specializing in heuristic optimization for communication networks and energy systems. He earned his doctorate from the University of Alcalá in 2016 with a thesis titled Optimización del diseño y la operación de redes eléctricas inteligentes mediante computación evolutiva , supervised by Dr. Sancho Salcedo Sanz and Dr. Pablo Díaz Villar. His work bridges theoretical algorithm development with practical applications in energy infrastructure and engineering education. Key research interests include: Optimal design of microgrid topologies Renewable energy resource allocation Evolutionary algorithms for energy systems Thermal management of solar modules Computational methods for control systems His publications emphasize innovative optimization techniques like coral reefs algorithms and harmony search, applied to battery scheduling, distributed generation placement, and scenario-based microgrid operation under variable pricing. He has developed educational software tools for solar energy instruction and contributed to lightweight construction technologies using infrared heating systems.

S. Hayley/Harlin SteeleView profile

Lecturer

• Climate Data Relations
• Gamemaking in Education (GME)
• Gender Playability
• +9 more

Harlin Steele (they/she/ze/he) is a PhD candidate in Cultural Studies at UC Davis currently on Planned Leave of Absence while serving as a Lecturer in the Department of English at Western Washington University. They direct projects at UC Davis' ModLab Digital Humanities Laboratory and hold an Advanced Research Affiliate position with USC's Humanities and Critical Code Studies Lab. Their work bridges climate science, game design, and social justice through interdisciplinary collaboration. Education: MFA in Creative Writing, Portland State University BA in English & Interdisciplinary Studies, Fairhaven College, Western Washington University AAS, Bellevue Community College Steele's research pioneers Climate Data Relations and Gender Playability, using games as critical pedagogical tools to address structural oppression in environmental systems. Their work integrates Earth Systems Modeling with analog game design to explore consent, decolonization, and cooperative economics, often manifesting through larp, netprov, and transmedia art. Recent projects examine racialized impacts on CO2 emissions and gender diversity in climate leadership. Publications reveal a trajectory toward decolonizing climate data through playable systems, with emphasis on community-centered knowledge production. Their 2023-2022 work connects gender theory with game mechanics, while earlier publications established frameworks for interpreting larp rules as executable social code. Scientific Awards: HASTAC Scholars Fellow (2018-20, 2021-23) Mellon Public Scholar (2020) UC Davis Provost’s Fellowship (2018-19) Golden Key & Phi Kappa Phi Honor Society inductions Cultural Studies Association Travel Award (2019) Steele teaches courses on games as literature, consent, and futurity at Western Washington University while facilitating climate data research teams at UC Davis. Their grant-funded work includes NASA internships and IPCC-co-sponsored climate forums, with fellowships supporting community-engaged scholarship through HASTAC and the Humanities Institute. They co-direct the Flight Manifesto social artwork with Palestinian collaborators, serve as economist for the California Economists Collective, and organize through the Critical Code Studies Working Group. Past community roles include Development Director for Oakland's Land Action mutual aid network and core organizer for the 1,500-member Villagecraft learning collective.

• Computer Graphics
• Visualization
• 3D Reconstruction
• +3 more

Susanne Weitz is a Researcher at the Chair of Computer Graphics and Visualization, Technical University of Munich, working under Prof. Westermann. Her office is located in room 02.13.052 at Boltzmannstr. 3, 85748 Garching b. München, with contact email susanne.weitz@tum.de and office hours Monday–Thursday 9:00–15:00. Her research focuses on advancing computer graphics through 3D Gaussian Splatting, topology optimization, and neural rendering techniques. Key interests include efficient novel view synthesis for consumer devices, scientific visualization of meteorological data, and geometry processing for cinematic applications. She bridges theoretical innovation with practical implementation, emphasizing real-time performance and accessibility. Analysis of her 2022–2025 publications reveals a strong trajectory in deep learning-enhanced graphics, particularly for 3D reconstruction and visualization. Work spans Gaussian Splatting optimizations, turbulence analysis in fluid dynamics, and lattice structure design, demonstrating interdisciplinary applications from medical visualization to climate science. At TUM, she teaches core courses including Game Physics, Visual Data Analytics, Deep Learning in Computer Graphics, and Machine Learning for 3D Geometry across winter and summer terms. Her curriculum integrates cutting-edge research like neural rendering and topology optimization into practical student projects.

• Artificial Intelligence
• Machine Learning
• Federated Learning
• +3 more

Tommaso Ruga serves as a Lecturer in the Department of Computer Engineering, Modellistica, Elettronica e Sistemistica (DIMES) at the University of Calabria, Italy. He teaches core courses including Data Base Systems for Management Engineering, Fundamentals of Computer Science for Mechanical Engineering, and Data Analytics for Business for Management Engineering programs in the 2025 academic year. His research centers on Artificial Intelligence applications across critical domains, with primary focus on healthcare innovation (cancer detection, pandemic forecasting, Alzheimer's diagnosis), sustainable agriculture (cassava disease detection, smart farming), and cultural heritage preservation . Key methodologies include federated learning, explainable AI frameworks, and deep learning architectures designed to address real-world challenges like dataset bias in dermatology and energy forecasting for sustainable communities. Analysis of his 15 most recent publications (2023-2025) reveals a cohesive trajectory: 60% target healthcare applications (particularly oncology and neurology), 25% focus on agricultural and environmental systems, and 15% address cultural heritage and tourism. His work consistently emphasizes technical explainability and ethical considerations , notably in mitigating racial bias in medical imaging datasets and developing transparent AI models for clinical decision support. Dr. Ruga operates within the University of Calabria's Department of Computer Engineering, Modellistica, Elettronica e Sistemistica, which provides the computational infrastructure for his AI research. His collaborations frequently involve co-authors Caroprese, Vocaturo, and Zumpano across multiple publications, indicating established research partnerships within the institution.

• VLSI Design
• Digital Circuit Testing
• Test Data Compression
• +4 more

Χρ. Καβουσιανός is a Professor at the Department of Computer Engineering & Informatics, University of Patras (Polytechnic School). His research focuses on VLSI design, digital circuit testing, and test data compression. He holds a Diploma (1996) and PhD (2000) from the same department, with notable scholarships including the Maritsas Doctoral Scholarship (1999). Key roles include leading the Heraclitus II and Pythagoras II research programs as principal investigator. Collaborations include Duke University (USA) with Prof. Krishnendu Chakrabarty. Research highlights: Pioneered techniques in scan-based testing, test set embedding, and low-power testing. Over 45 publications in top journals/conferences (e.g., IEEE TCAD, DAC). Notable work includes defect-oriented testing methods and Huffman-based compression schemes. Has supervised 9 advisees across doctoral/postgraduate levels. Holds a 2010 US patent application on power switch design.

Calvin DeutschbeinView profile

Assistant Professor

• Computer Security
• Hardware Security
• Data Mining
• +3 more

Calvin Deutschbein is an Assistant Professor of Computer Science at Willamette University, affiliated with the School of Computing & Information Sciences. Their research focuses on hardware security, particularly leveraging data mining and design specifications to enhance security. Before joining Willamette, they taught at the University of Chicago, University of North Carolina at Chapel Hill, and Elon University, emphasizing computing education and student career development. Dr. Deutschbein earned their Ph.D. in Computer Science from the University of North Carolina at Chapel Hill under Professor Cynthia Sturton. Their work has been recognized through collaborations with industry leaders like Intel Corporation and Semiconductor Research Corporation, as well as invited talks at hardware security events like SEC-RISCV and clean-slate. Their research emphasizes automated security property generation, hardware vulnerability analysis, and CI/CD frameworks for open-source hardware designs. Key research themes include hardware security verification, information-flow analysis, and end-to-end exploit generation for processor validation. Their contributions bridge theoretical security research with practical industry applications, focusing on scalable methodologies for securing hardware designs. Despite no listed awards, their work demonstrates significant industry engagement and scholarly impact. Calvin’s advising and grants reflect a commitment to advancing security through collaborative research. Their work on the NSF-funded SaTC project highlights interdisciplinary efforts to assess hardware vulnerabilities. While no specific labs or teams are named, their research partnerships indicate active participation in academic-industrial networks.

Bhuvanesh UnhelkarView profile

Professor

• Big Data Strategies
• Artificial Intelligence
• Agile Processes
• +5 more

Bhuvanesh Unhelkar is a Professor of Information Technology at the School of Information Systems and Management, part of the Muma College of Business at the University of South Florida's Sarasota-Manatee campus. He specializes in Big Data strategies, AI applications, and Agile methodologies. Currently teaching IT and Project Management courses at both undergraduate and graduate levels, he also oversees IT program design and online education initiatives. Education: Ph.D. and M.S. in Information Technology (University of Technology Sydney, 1997/1992) Masters Diploma in Business Administration (IMDR, Pune, 1986) Bachelor of Engineering (Electronic Engineering, Maharaja Sayajirao University of Baroda, 1982) Research Interests: Dr. Unhelkar’s work focuses on leveraging technology for business agility, including: Big Data analytics and AI-driven decision-making Cybersecurity in healthcare and IoT Agile project management frameworks Blockchain applications in finance and supply chains Cloud computing optimization IT education and curriculum development Awards & Recognition: Computerworld Object Developers Award (1995) Consensus IT Professional ‘Service to Industry’ Award (2006) Consensus IT Writer’s Award (2010) Service & Leadership: Active in academic governance through roles like: Member, Academic Programs Committee (APC) [2018–2019] Member, Faculty Professional Development Committee (FPDC) [2000–present] Search Committee Lead for Assistant Professor positions Publications: Authored/co-authored over 27 books and 109 research outputs, including seminal works like Artificial Intelligence for Business Optimization and Adoption and Adaption in Digital Business .

• History of Protest and Reform
• Environmental History
• Digital Heritage
• +3 more

Steve Poole is a Professor of History and Heritage at the University of the West of England (UWE), affiliated with the Faculty of Arts, Creative Industries, and Education (ACE). He directs the Regional History Centre and leads an ESRC-funded project exploring intergroup dynamics in the 1831 Reform Riots. His research spans 18th- and 19th-century English history, focusing on protest, crime, tidal landscapes, and digital heritage technologies. Collaborations include the National Trust, Bristol Initiative Trust, and heritage design firms like Splash & Ripple and Satsymph. Notable projects include Ghosts in the Garden (a locative game at the Holburne Museum) and Romancing the Gibbet (an immersive soundscape on 18th-century crime). Poole’s academic work emphasizes histories 'from below,' particularly in Bristol and the Southwest. He co-authored Bristol From Below: Law, Authority and Protest in a Georgian City and chairs the John Thelwall Society. His heritage projects integrate digital media to reinterpret historical narratives, such as using empathy-driven soundscapes for heritage experiences. He also advises on urban waterfront histories and serves on committees for the Southern History Society and Bristol Record Society. His publications span scholarly articles and edited volumes, with a focus on riots, regicide, and radical press (e.g., Bath Spark ). Recent work examines the social psychology of collective action in 19th-century riots and the legacy of monuments in contemporary urban spaces. Poole’s interdisciplinary approach bridges traditional history with modern technologies, aiming to democratize historical interpretation through accessible, immersive formats.

• Advanced and sustainable manufacturing
• Advanced design
• Algorithm design and analysis
• +12 more

Laura Sardone is a Fixed-term Assistant Professor and researcher at the Department of Structural, Building and Geotechnical Engineering (DISEG) at the Polytechnic University of Turin. She is an invited member of both the College of Architecture and Design and the College of Civil and Building Engineering, reflecting her interdisciplinary role in engineering and architectural education and research. Her research focuses on advanced computational methods in civil and structural engineering, particularly in algorithm-aided design , structural optimization , and applied artificial intelligence . Her work bridges civil engineering with computational mathematics, focusing on sustainable manufacturing, digital construction, and efficient structural systems. She integrates topics such as numerical analysis, topology, control theory, and scientific computing into practical engineering solutions. The recent publications highlight a consistent trend in computational structural design , especially in optimizing variable-section beams and arches using advanced algorithms and simulation tools. These works reflect a strong emphasis on sustainability, efficiency, and digital innovation in construction, aligning with EU research goals in circular economy and smart infrastructure. Laura Sardone actively supervises PhD students and contributes to major research initiatives such as the EU-funded ADAPT4CE project, which develops adaptive digital systems for sustainable construction in the circular economy. She teaches advanced courses in generative design, parametric modeling, and structural optimization at both PhD and master’s levels. Her technical expertise spans multiple ERC sectors including artificial intelligence, computational engineering, civil engineering, and optimization. Her research supports key UN Sustainable Development Goals, particularly Goal 9 (Industry, Innovation, and Infrastructure) , Goal 11 (Sustainable Cities and Communities) , and Goal 13 (Climate Action) . She is involved in interdisciplinary research teams and leads computational modeling efforts in structural optimization. Her work is published in high-impact journals and conference proceedings, demonstrating her active role in advancing digital methods in civil and architectural engineering.

Mohamad EidView profile

Associate Professor

• Haptics
• Multi-modal Human-Computer Interaction
• Affective Haptics
• +7 more

Mohamad Eid is an Associate Professor of Electrical and Computer Engineering at New York University Abu Dhabi (NYUAD), with a Global Network Associate Professor appointment at NYU Tandon School of Engineering. He leads the Applied Interactive Multimedia Laboratory (AIMLab), focusing on cutting-edge research in haptics and multimodal interaction. His research interests include haptics, affective haptics, EEG-based neurohaptics, soft haptics, biofeedback technologies, and human-computer interaction. He explores how tactile feedback can enhance virtual and augmented reality, assistive technologies, and medical simulation. His recent publications demonstrate strong activity in IEEE Transactions on Haptics, ACM TOMM, and other top venues, with work spanning vibrotactile alarms, mid-air haptics, emotion communication via touch, and haptic dental simulation. His research integrates engineering, neuroscience, and multimedia to create immersive and affective user experiences. Best Paper Award, ICBAE 2016 Best Paper Award, DS-RT 2008 ACM Multimedia 2009 Grand Challenge Most Entertaining Award Mohamad Eid advises students through capstone projects in computer science and biology and has contributed to educational initiatives such as robotic handwriting assistance for Arabic script. He holds multiple patents in haptic feedback systems and is an active editor for IEEE Transactions on Haptics. His work is supported by grants and has been featured in media outlets like Wired and The National. He leads the Applied Interactive Multimedia Laboratory (AIMLab), a multidisciplinary research group developing innovative haptic and interactive systems for healthcare, education, and entertainment.

David Hung-Chang DuView profile

Professor

• Intelligent Storage Systems
• Sensor/Vehicular Networks
• Cyber Physical Systems
• +5 more

David Hung-Chang Du is a Professor and Qwest Chair Professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. He served as the Center Director of the NSF multi-university I/UCRC Center of Research in Intelligent Storage (CRIS) from 2009-2021, which was sponsored by 18 companies with $3.35M industrial membership funding. Prior to that, he organized an Intelligent Storage Consortium at Digital Technology Center with industrial funding from 2002-2009. He was also a Program Director at the National Science Foundation CISE/CNS Division from March 2006 to August 2008. Dr. Du received his B.S. degree in Mathematics from National Tsing-Hua University (Taiwan) in 1974 and M.S. and Ph.D. degrees from University of Washington (Seattle) in 1980 and 1981 respectively. He joined University of Minnesota as a faculty member in 1981 and has been there for over 40 years. He has also been a visiting professor in Germany, Korea, Singapore, Hong Kong and Taiwan. Dr. Du's research focuses on intelligent storage systems, sensor/vehicular networks, and cyber physical systems. His early career work included parallel processing and database design, followed by Computer-Aided Design for VLSI circuits in the 1980s and 1990s. From the late 1980s to present, he has worked on computer networking and its related applications including multimedia computing. Starting from 2000, his research has focused on new memory and storage technologies for handling extremely large volumes of available data and long-term data preservation. His current research focuses on hyper-converging infrastructure, recognizing that the Internet has become the largest existing computer system where data collection, storage, and networking must be integrated. His recent publications (2019-2022) demonstrate continued innovation across multiple domains including DNA storage technologies, hybrid storage systems, key-value store optimization, and edge computing. These works reflect his ability to adapt to emerging technological landscapes while maintaining focus on fundamental storage and systems challenges. The publications show strong industry collaboration, particularly with major technology companies like Facebook, where his team has characterized and optimized key database workloads. IEEE Fellow (since 1998) Fellow of the Minnesota Supercomputer Institute ACM Recognition of Service Award (2013) IEEE Certificate of Appreciation (2012, 2007) NSF Director's Award for Collaborative Integration (2008) Best Paper Award, International Conference on Internet of Vehicles (2015) Best Paper Award, International Conference on Computer Design (1998) Dr. Du has been highly active in professional service, serving as Editor of IEEE Transactions on Computers (1993-1998), member of several editorial boards, and holding leadership positions in numerous conferences including General Chair for IEEE Security and Privacy Symposium (2009), Program Committee Co-Chair for International Conference on Parallel Processing (2009), and General Chair for IEEE International Conference on Distributed Computing Systems (2010-2011). He has graduated 67 Ph.D. students (58 as single adviser and 9 jointly supervised) and 109 Master's students over his 40+ year career. His research has been supported by substantial grants from NSF, industry partners, and other funding sources totaling millions of dollars.

• Theoretical Computer Science
• Property Testing
• Approximation Algorithms
• +8 more

Yuichi Yoshida is a Professor at the National Institute of Informatics (NII), affiliated with the Principles of Informatics Research Division. He also holds a concurrent position as Senior Researcher at Preferred Networks. His academic career at NII spans from Assistant Professor (2012–2015), Associate Professor (2015–2022), to full Professor since 2022. He serves as Vice Director of the Global Research Center for Big Data Mathematics at NII and has held advisory and research roles at Preferred Infrastructure and the Ministry of Education, Culture, Sports, Science and Technology (MEXT). Ph.D. in Informatics, Kyoto University, 2012 Master of Informatics, Kyoto University, 2009 Bachelor of Engineering, Kyoto University, 2007 His research focuses on theoretical computer science, particularly property testing , approximation algorithms , sublinear-time algorithms , and constraint satisfaction problems . He investigates how theoretical insights can be applied to real-world graphs, with recent emphasis on average sensitivity of algorithms and Lipschitz continuity in combinatorial optimization . His work bridges theory and practical scalability in large network analysis and machine learning. The most recent 15 publications (2022–2025) demonstrate a strong trend in algorithmic stability, spectral methods for hypergraphs, influence propagation in networks, and learning-augmented algorithms. Key venues include FOCS, SODA, ICALP, and NeurIPS, reflecting high impact in theoretical computer science and machine learning. Topics such as Lipschitz continuity, average sensitivity, spectral sparsification, and sublinear algorithms recur, indicating a cohesive research program on robust and efficient computation. Best Paper Award, AISTATS (2018) MEXT Commendation for Science and Technology – Young Scientists’ Prize (2017) Inoue Research Award for Young Scientists (2014) KDDI Foundation Award (2024) Funai Information Technology Award (2024) Yuichi Yoshida advises PhD students and hosts numerous postdocs, RAs, and international interns. He leads major research projects funded by JSPS and JST, including Grants-in-Aid for Scientific Research (S) and PRESTO programs. His service includes program committee roles for ICML, NeurIPS, SODA, and ICALP. He has co-authored a book on Property Testing and contributed to encyclopedias on big data technologies. He leads research teams on algorithm desensitization and large-scale graph algorithms, and has been program co-chair for GRADES-NDA'23. His lab fosters international collaboration, hosting interns from top universities worldwide.

Thijs W. van de LaarView profile

Assistant Professor

• Probabilistic Programming
• Active Inference
• Bayesian Signal Processing
• +4 more

Thijs W. van de Laar is an Assistant Professor at the Eindhoven University of Technology in the Department of Electrical Engineering , affiliated with the Bayesian Intelligent Autonomous Systems lab (BIASlab) and the EAISI Foundational and High Tech Systems groups. His research focuses on intelligent systems for decision-making under dynamic conditions, particularly through scalable probabilistic programming implementations of Active Inference. Academic Background : PhD (2019, TU/e) in automated Bayesian signal processing algorithm design; MSc in natural sciences (biophysics, science communication, Radboud University). Van de Laar's research integrates probabilistic programming with active inference to develop autonomous agents capable of real-time adaptation. Key methodologies include variational message passing , factor graph representations , and free energy minimization . His recent publications examine active inference formalisms, factor graph applications in AI, and uncertainty reduction strategies. Collaborative work spans hearing aid technology, autonomous navigation, and synthetic intelligence development.

Fabienne LambuschView profile

Researcher

• Human-centered information systems
• Mobile and wearable information systems
• Personal energy self-management
• +5 more

Dr.-Ing. Fabienne Lambusch is a research associate at the Chair of Business Information Systems, University of Rostock, Germany. Since January 2017, she has focused on human-centered design of information systems that foster personal and organizational reflection, particularly in the domains of professional self-management, productivity, and well-being. Education: M.Sc. in Computer Science, University of Rostock (2016) Research Interests: Her core research revolves around mobile & wearable information systems , personalized feedback technologies , and IT-supported self-management . She leverages context-aware and persuasive approaches to help individuals understand and improve the interplay between energy, productivity, and health. Publications Overview: Across 2020-2024, Lambusch has published extensively on systems that combine sensing, self-tracking, and feedback to support workplace productivity and psychological well-being. Topics range from wearable recommendation architectures and webcam-based interventions to ecological momentary assessment of human energy and randomized controlled trials evaluating personalized feedback. Teaching: Basics of Business Informatics (Bachelor) Computer-aided Scientific Work (Bachelor) Project Study (Bachelor & Master) Contact: Konrad Zuse House, Albert Einstein Street 22, Room 351, 18059 Rostock, Germany. Phone: +49 381 498 7404 | Email: fabienne.lambusch@uni-rostock.de