Find Academic Supervisors

Andrew Hudson-SmithView profile

Professor

• Digital Urban Systems
• Smart Cities
• Internet of Things (IoT)
• +7 more

Professor Andrew Hudson-Smith is the Director of the Bartlett Centre for Advanced Spatial Analysis (CASA) at University College London (UCL), where he holds the title of Professor of Digital Urban Systems. He leads UCL's academic and applied research in smart cities, digital twins, and urban informatics. His roles include Editor-in-Chief of the Future Internet Journal and academic lead for the Smart Queen Elizabeth Park project. He contributes to strategic initiatives such as the Greater London Authority Smart London Board and EPSRC Digital Economy Programme Advisory Board. Education: PhD (2003), MSc (1996) from UCL; BSc in Geography from the University of Plymouth (1992). Research focuses on digital urban systems, IoT applications, sustainable urban planning, and cyberphysical systems. Notable projects include urban heat island monitoring, participatory planning platforms, and metaverse-driven urban design. His work bridges technology, art, and public engagement, exemplified by initiatives like Tales of Things and the Haggle-O-Tron. Recent publications emphasize digital twins, metaverse urbanism, and IoT integration in urban environments. Awards include a Fellowship of the Royal Society of Arts. His work addresses SDGs 3 (Good Health) and 11 (Sustainable Cities), with a focus on equitable smart city development and public space innovation.

Peter A. FlachView profile

Professor

• Machine Learning
• Artificial Intelligence
• Explainable AI (XAI)
• +3 more

Peter A. Flach is Professor of Artificial Intelligence at the Intelligent Systems Laboratory, School of Computer Science, University of Bristol, where he has been faculty since 1997 and was promoted to Professor in 2003. He currently directs the UKRI AI Centre for Doctoral Training in Practice-Oriented Artificial Intelligence and serves as Vice-President of the European Association for Data Science (EuADS), having previously served as its President. His research centers on rigorous evaluation and improvement of machine learning systems, with seminal contributions to classifier calibration (including Beta Calibration and Precision-Recall-Gain curves), explainable AI frameworks, and data science methodology. He pioneered the extension of CRISP-DM to data science trajectories and developed Explainability Fact Sheets for systematic assessment of XAI approaches. His work bridges theoretical foundations with practical deployment in real-world systems. Analysis of his recent publications reveals a dominant focus on interpretable and reliable machine learning, with strong emphasis on performance evaluation metrics, model calibration techniques, and human-centered explainability. His research increasingly addresses healthcare applications through projects like SPHERE and clinical decision support systems, while maintaining core contributions to fundamental ML theory. His scientific recognition includes prestigious fellowships: Fellow of the European Lab for Learning and Intelligent Systems (ELLIS) Fellow of the European Association for Artificial Intelligence (EurAI) Professor Flach has secured major research funding including UKRI Centre for Doctoral Training grants and EU network funding (TAILOR). He leads extensive collaborations across Engineering, Population Health Science, and international institutions (Monash University, Polytechnic University of Valencia), plus over 20 industry partners in the Practice-Oriented AI CDT including LV= and QinetiQ. His work with the SPHERE project demonstrates successful translation of AI research into residential healthcare settings. He leads the Intelligent Systems Laboratory at Bristol, which develops influential open-source tools including the FAT Forensics Python toolbox for algorithmic fairness and the Explainability Fact Sheets framework. His lab maintains strong connections with the European AI community through ELLIS and EurAI, positioning Bristol as a hub for human-centered and methodologically rigorous AI research.

Akhilesh JaiswalView profile

Assistant Professor

• Device-Circuit Co-design
• Processing-in-Pixel
• In-Memory Computing
• +4 more

Dr. Akhilesh Jaiswal serves as Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin-Madison, where his research pioneers device-circuit co-design for next-generation computing systems. His work focuses on enabling extreme-edge intelligence through processing-in-pixel technology, in-memory computing architectures, and bio-inspired neuromorphic systems. His academic credentials include: PhD in Nano-electronics from Purdue University (2019) MS from the University of Minnesota (2014) Bachelor of Technology from Shri Guru Gobind Singhji Institute of Engineering and Technology (2011) Dr. Jaiswal's research program centers on revolutionizing edge computing through hardware innovations that integrate sensing and processing. His device-circuit co-design approach leverages alternate state variables to create energy-efficient systems for real-time applications, with particular emphasis on retina-inspired sensors and photonic memory architectures. This work bridges semiconductor physics with AI acceleration needs, targeting applications from autonomous systems to biomedical devices. Analysis of his 2023-2025 publications reveals dominant themes in photonic SRAM-based in-memory computing (40% of output), retina-inspired motion processing (30%), and secure hardware architectures (20%). His team consistently develops novel bitcell designs that enable XOR logic execution within memory arrays while maintaining compatibility with CMOS fabrication processes. Recent work shows increasing focus on biomedical applications of processing-in-pixel technology. His distinguished recognition includes: Three consecutive ISI Exploratory Research Awards (2020-2023) IEEE Brain Community Best Paper Award (2022) 27 issued US patents with multiple pending applications Nomination for USC Moore Inventor Fellowship (2022) Dr. Jaiswal actively mentors graduate researchers through ECE 790/890/990 courses while securing exploratory funding through ISI and Keston Foundation awards. His patent portfolio demonstrates exceptional translational impact, with industry game-changer classifications from USPTO. The 2022 VLSI-SoC nomination and multiple research highlights in major outlets validate his contributions to hardware security and neuromorphic vision sensors. His laboratory develops integrated hardware platforms combining magnetic tunnel junctions, photonic memory, and CMOS image sensors to create unified processing-in-sensor systems. Current projects include retina-inspired motion segmentation for event cameras and electro-optic frequency transducers for quantum computing interfaces, with strong industry collaboration through patent licensing.

Ly Fie SugiantoView profile

Associate Professor

• Accounting Information Systems
• Data Analytics
• Artificial Intelligence
• +8 more

Dr. Ly Fie Sugianto is an Associate Professor in the Department of Accounting at Monash Business School, Monash University. Her research focuses on the integration of data analytics, artificial intelligence, and machine learning in accounting and business systems, with applications in the energy sector and organizational behavior. Monash Business School, Monash University Department of Accounting Specialization: Accounting Information Systems, Data Analytics, AI Her research interests span Accounting Information Systems , Agent-Based Simulation , Decision Support Systems , and Technology Adoption . She applies computational methods to study competitive dynamics in deregulated electricity markets and the impact of digital tools on employee well-being and organizational resilience. The recent publications reflect a strong trend in using AI and simulation to analyze complex socio-technical systems, particularly in energy markets and leadership dynamics. Keywords across her work include agent-based modeling , data analytics , servant leadership , and enterprise social media , indicating interdisciplinary research at the intersection of information systems, management, and public policy. Her scientific awards include competitive grants from the ARC (SPIRT/Linkage) , the Australia Indonesia Governance Research Partnership (AIGRP) , and the Sumitomo Foundation . ARC Grant: Dispatch Optimisation in the Australian National Electricity Market Sumitomo Foundation: Technology Use and Employee Well-Being AIGRP: Governance and MSME Resilience during Pandemic Dr. Sugianto has advised research projects and collaborated with industry partners such as Western Power , Ecogen Energy , and AEMO . She is currently accepting PhD students and leads externally funded research initiatives. Her work contributes to UN Sustainable Development Goals related to industry innovation and responsible consumption. She is affiliated with research teams focusing on intelligent decision support systems and digital transformation in business , with active collaborations in Australia and Indonesia.

Damien CharrierasView profile

Associate Professor

• Cultural Studies
• Media Theory
• Digital Arts
• +7 more

Dr. Damien Charrieras is an Associate Professor at the School of Creative Media , City University of Hong Kong, where he serves as Program Leader for the Master of Art in Creative Media and deputy program leader for the PhD in Creative Media. His work bridges cultural studies, new media theory, and the intersection of financial technologies with artistic practices through the ACIM Laboratory for Interventions in Speculative Finance . Doctoral research on digital artists' trajectories in Montreal FRQSC Postdoctoral Fellowship at McGill University Research spans game engine design , datafication of creativity , blockchain in art , and post-anthropocentric creative processes . With over HK$3.14M in grants as Principal Investigator, he explores situated digital creativity in urban contexts, critical worldbuilding pedagogy , and the mediation of technical systems in cultural production. His publications in Cities , Organized Sound , and Human Relations analyze the reconfiguration of artistic practices through software infrastructures and automation paradigms. Scientific awards include: FRQSC Postdoctoral Fellowship

Shiri AzenkotView profile

Associate Professor

• Accessibility
• Human-Computer Interaction
• Assistive Technology
• +5 more

Shiri Azenkot is an Associate Professor at the Jacobs Technion-Cornell Institute at Cornell Tech and Cornell University, affiliated with the Information Science Department and Technion’s Computer Science Department. Her research focuses on accessibility innovations in emerging technologies, particularly addressing needs of people with vision impairments and neurodiverse populations. She holds a PhD from the University of Washington, advised by Richard Ladner and Jacob Wobbrock, and has been recognized with prestigious awards including the NSF Graduate Research Fellowship. Education: PhD in Computer Science & Engineering from University of Washington (advisors: Richard Ladner, Jacob Wobbrock). Research interests include VR/AR accessibility, assistive technology design, inclusive education tools, and ethical AI applications. Current projects explore social VR avatars for invisible disabilities, AR navigation aids, and AI moderation systems against ableist hate speech. Her work is funded by NSF, AOL, Verizon, and Facebook. Recent publications address video accessibility for ADHD users, AI-driven scene descriptions for blind users, and tactile learning materials co-designed with educators. She leads the XR Access initiative promoting inclusive virtual/augmented reality. Awards include the UW Graduate Medal (2020), NSF CRII Award (2017), and AT&T Labs Fellowship (2014). Her research bridges academic innovation with industry impact through collaborations with tech companies and disability advocacy groups.

Max V. BirkView profile

Associate Professor

• Digital Health
• Game Design
• Human-Computer Interaction
• +3 more

Max V. Birk is an Associate Professor at Eindhoven University of Technology (TU/e), affiliated with the Human-Technology Interaction group in the School of Industrial Engineering and Innovation Sciences. He holds a secondary appointment as EAISI Health Associate Professor. His interdisciplinary research focuses on game-based design strategies, digital health, and motivational interface design, with contributions to games user research, eSports, and interactive experience tools. Birk earned a Psychology degree from the University of Trier (2012) and a Computer Science PhD from the University of Saskatchewan (2018), focusing on avatar customization for health engagement. Research Contributions: Birk’s work spans player experience, behavioral data analysis, and game-based digital biomarkers for stress. He leads the NWO Veni-funded project on game-based biomarkers for acute/chronic stress. His research has been published in top HCI venues like CHI and ACM Transactions on CHI. Organized global workshops and co-chaired CHI PLAY 2020/2021 Collaborations with Tencent, AlienTrap, and global game developers Editorial roles at JMIR Mental Health Awards & Honors: 2023 TU/e Young Researcher Award 2022 Best MSc Teacher Industrial Design NWO Veni Grant (2020) Multiple ACM awards and recognitions Academic Leadership: Vice-chair of Eindhoven Young Academy of Engineering Board member of EWUU Centre for Unusual Collaboration Member of De Jonge Akademie (KNAW) Teaching: Courses include 'Digital Tools & Human Wellbeing', 'Human Factors', and 'Social Media & Online Life'.

• Probabilistic Verification
• Quantitative Model Checking
• Formal Methods
• +4 more

Marta Kwiatkowska is a Professor of Computing Systems at the University of Oxford and a Fellow of Trinity College. Her research focuses on probabilistic verification , quantitative model checking , and formal methods for complex systems including autonomous robots, medical devices, and biological systems. She leads the development of the PRISM and PRISM-games probabilistic model checkers. Key research areas: Probabilistic systems, formal verification, autonomous robotics, medical device analysis, systems biology Grants: ERC Advanced Grant VERIWARE, EPSRC Programme Grant Mobile Autonomy Awards: 2024 ETAPS Test-of-Time Tool Award for PRISM Students: Current and former advisees in topics spanning formal methods, robotics, and quantitative verification The PRISM-games extension enables verification of stochastic multi-player games with applications in network protocols, autonomous systems, and game theory. Her work bridges theory, algorithms, and practical implementation, with real-world applications in ubiquitous computing and nanotechnology.

Josiah HesterView profile

Associate Professor

• Sustainable Computing
• Battery-Free Systems
• Intermittent Computing
• +7 more

Josiah Hester is Associate Professor of Interactive Computing and Computer Science at Georgia Tech's College of Computing, where he also directs the Center for Advancing Responsible Computing and the Ka Moamoa – Ubiquitous and Mobile Computing Lab . His research focuses on sustainable, battery-free computing systems for health, conservation, and education, informed by his Native Hawaiian heritage. Education: Ph.D. in Computer Science, Clemson University, 2017 B.S. in Computer Science, Clemson University Honors College, 2011 Research Interests: Hester’s group pioneers intermittent computing —devices that harvest ambient energy (solar, radio, thermal, microbial) and operate reliably despite frequent power loss. Applications span: Large-scale conservation sensing with Indigenous communities Battery-free health wearables (smart masks, implantables) Educational tools for sustainable design Carbon-aware IoT and recyclable robotics Recent Work & Trends: His 2024–2025 publications unveil soil-powered sensors, recyclable electronics, and culturally-grounded CS education tools. A consistent theme is co-design with underserved communities and embedding sustainability metrics at every layer—from hardware to curriculum. Scientific Awards: Presidential Early Career Award for Scientists and Engineers (PECASE) – 2025 Alfred P. Sloan Fellowship – 2022 NSF CAREER Award – 2022 Popular Science “Brilliant 10” – 2021 3M Non-Tenured Faculty Award – 2021 Multiple best-paper & best-presentation awards Grants & Teams: Hester’s lab is supported by >$50 million in active funding from NSF, NIH (ARPA-H), DARPA, DoD, Sloan, VMware, and 3M. He leads interdisciplinary teams on projects such as: $35 million ARPA-H bioelectronics initiative for diabetes and cancer $5 million NSF “Coastlines and People” Hub for Manoomin conservation $2 million NSF-DELPHI sustainable edge device design Laboratory & Mentorship: The Ka Moamoa Lab (named with Hawaiian meaning “lamp of the moamoa fish”) hosts graduate, undergraduate, and post-doctoral researchers. Hester actively recruits Native and Indigenous students and has mentored award-winning advisees such as Nivedita Arora (ACM Doctoral Dissertation Award 2024).

• Video Processing
• Image Processing
• Signal Processing
• +7 more

Takeshi Ikenaga is a Professor at Waseda University’s School of Fundamental Science and Engineering and Graduate School of Information, Production and Systems . He earned his Ph.D. in Information & Computer Science from Waseda University in 2001, following B.E. and M.E. degrees in Electrical Engineering (1988–1990). His career spans roles at NTT LSI Laboratories (1990–2002), Kitakyushu Foundation for Advancement of Industry, Science and Technology (FAIS) (1999–2002), and visiting researcher at the University of Massachusetts (1999–2000). Research Interests : Application-specific SoCs for video/image processing, including compression (H.264/AVC, H.265/HEVC), filters (super-resolution, noise reduction), recognition systems (feature detection, object tracking), and communication (UWB, LDPC). He also works on many-core processor design, ultra-low-delay vision systems, and sports analytics (volleyball, figure skating) with real-time 3D pose estimation and ball tracking. Awards : Recipient of the Furukawa Sansui Award (Waseda University, 1988) IEICE Research Encouragement Award (1992) Multiple Best Paper/Presentation Awards (2006–2022) at conferences including DAC/ISSCC, LSI IP Design, ISOCC, ISPACS, and CVIT APSIPA Distinguished Lecturer Certificate (2015) Waseda University Presidential Teaching Award (2020)

JIN ChenView profile

Associate Professor

• Digital Transformation
• Platforms & Innovation
• FinTech
• +3 more

**Dr. JIN Chen** is an **Associate Professor** in the **Department of Information Systems and Analytics** at the **National University of Singapore (NUS) School of Computing**. He holds a PhD in Industrial Engineering and Management Science from Northwestern University (U.S.) and joined NUS in 2018 after postdoctoral work at the Wharton School, University of Pennsylvania. His research focuses on **online platforms**, **information systems operations**, and **digital transformation**, with a particular interest in addressing challenges like fake information dissemination and platform competition. His work bridges **operations management** and **information systems**, emphasizing practical applications in e-commerce and fintech. **Education**: B.Sc. (Shanghai Jiao Tong University) M.Sc. & Ph.D. (Northwestern University, U.S.) **Research Interests**: Platform design and competition Information bundling and pricing strategies Consumer search behavior Right-to-repair policies and environmental impacts **Awards & Recognition** (selected): Finalist, MSOM Service Management SIG Best Paper Award (2024) Nomination for NUS Young Researcher Award (2022–2024) Winner, INFORMS ENRE Young Researcher Prize (2022) Teaching Excellence Awards (2021–2023) **Key Projects**: Optimal information structure design to combat fake orders/reviews Environmental and welfare implications of right-to-repair laws Strategic bundling and pricing in multi-service platforms

• Data Management
• Machine Learning
• Cloud Databases
• +6 more

Olga Papaemmanouil is a Professor of Computer Science at Brandeis University and Senior Associate Provost for Academic Affairs and Curriculum. She is affiliated with the Michtom School of Computer Science and the Volen National Center for Complex Systems. Ph.D. in Computer Science, Brown University (2008) M.S. in Information Systems, University of Economics and Business, Athens (2001) B.S. in Computer Science and Informatics, University of Patras, Greece (1999) Her research focuses on data management, integrating machine learning with cloud databases, query optimization, and performance prediction. She has pioneered techniques for interactive data exploration, reinforcement learning in query scheduling, and economic models for database provisioning. Recent publications highlight her work on learned query optimizers , deep reinforcement learning for database operations, and platform-independent neuroscience data interfaces . NSF Career Award (2013) Amazon Research Award (2019) Huawei Innovation Research Awards (2017, 2018) SIGMOD Best Demonstration Award (2015) Paris Kanellakis Fellowship (2002) She has secured multiple NSF grants and developed systems like Neo (learned query optimizer) and XCloud (performance management for cloud data services). Her work bridges database systems and machine learning for scalable data analytics.

Katherine IsbisterView profile

Professor

• Human-Computer Interaction
• Digital Games
• Emotion in Design
• +12 more

Katherine Isbister is a full professor in the Department of Computational Media at the University of California, Santa Cruz, where she directs the Center for Computational Experience. She was previously an associate professor jointly appointed between the Computer Science department at New York University’s Tandon School of Engineering and the NYU Game Center, and served as the founding Research Director of the Game Innovation Lab at NYU. Her research lies at the intersection of Human-Computer Interaction and digital games, focusing on emotion, social connection, and playful experiences. Key research themes include emotion in games , social play , fidget technologies , social VR , and digital characters . Her work combines technical prototyping, design research, and empirical evaluation to understand how interactive systems can support emotional and social experiences. Her publications span top venues such as CHI, DIS, and IEEE Transactions on Affective Computing. Trends in her recent work show a strong emphasis on embodied interaction, affective design, and socio-technical systems for emotional regulation and social connection. She explores how movement, touch, and presence in virtual spaces can enhance human experience. MIT Technology Review TR100 Young Innovator (1999) Best Paper Award, ACM CSCW (2018) New Voices New Visions Award (for SimWorks art series) She has advised numerous students and led research projects involving social wearables, movement-based games, and mental health interventions. Her lab has received recognition from media outlets including NPR, Scientific American, and The Guardian. She has also collaborated with industry partners such as Microsoft, Electronic Arts, and Ubisoft. She leads the Center for Computational Experience at UCSC and has previously directed the Game Innovation Lab at NYU. Her team has produced over 100 peer-reviewed publications and several exhibition-ready games and art installations.

Steven K. FeinerView profile

Professor

• Human–Computer Interaction
• Augmented Reality
• Virtual Reality
• +3 more

Steven K. Feiner is a Professor of Computer Science at Columbia Engineering, where he directs the Computer Graphics and User Interfaces Lab. His career spans over 25 years of pioneering research in human-computer interaction, augmented reality (AR), and virtual reality (VR). Educational Background: PhD from Brown University (1987) Feiner's research focuses on advancing AR/VR systems, mobile and wearable computing, and information visualization. His lab has developed groundbreaking applications in tourism, journalism, medicine, and everyday computing, including the first mobile AR system using a see-through head-worn display and GPS in 1996. He has received numerous honors, including: ACM SIGCHI 2018 Lifetime Research Award IEEE ISMAR 2017 Career Impact Award IEEE VGTC 2014 Virtual Reality Career Award Shared IEEE ISMAR Impact Paper Awards (2022, 2019) ACM UIST 2010 Lasting Impact Award Feiner's work continues to shape modern AR/VR technologies and their practical implementations across diverse domains. He leads the Computer Graphics and User Interfaces Lab, which emphasizes experimental systems research and interdisciplinary collaboration.

Máté SzabóView profile

Assistant Professor

• Machine Learning
• Smart Cities
• Mobile Computing
• +7 more

Máté Szabó is an Assistant Professor at the University of Debrecen , affiliated with the Faculty of Informatics and the Department of Information Technology . His email contact is szabo.mate@inf.unideb.hu . He works in areas such as Machine Learning , Smart Cities , and Mobile Computing . His research spans topics like microservice architecture for ensemble models, Markov modeling of traffic flows, and distributed machine learning on mobile platforms. He has explored neural models for conversational AI and gamification in programming education through Minecraft-based challenges. His work also addresses edge computing and data parallelism in mobile environments. His publications (2016–2024) reflect trends in machine learning deployment on Android platforms smart city traffic analytics gamified educational tools cognitive modeling of numerical understanding microservice-based model integration .