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Youngchan KimView profile

Lecturer

• Quantum Biology
• Biophotonics
• Bioimaging
• +3 more

Dr. Youngchan Kim is a Lecturer in Quantum Biology at the University of Surrey , serving as Director of the Quantum Biology Doctoral Training Centre (QB-DTC). He is affiliated with multiple departments including the School of Biosciences, Advanced Technology Institute, and Quantum Sciences Group. PhD in Physics (2011), Korea Advanced Institute of Science and Technology MSc in Physics (2008), KAIST BSc in Physics (2006), Chung-Ang University Graduate Certificate in Learning and Teaching (2022), Advance HE His research focuses on quantum phenomena in biological systems at physiological temperatures, particularly using femtosecond optical spectroscopy and genetically engineered fluorescent proteins to explore evolutionary adaptations and develop quantum-bio-inspired technologies like room-temperature single-photon sources. The 15 most recent publications span quantum biology, biophotonics, and optical spectroscopy, with particular emphasis on quantum coherence in biological systems , terahertz birefringence , fluorescent protein dynamics , and biomedical imaging innovations . These works demonstrate his interdisciplinary approach bridging physics, biology, and medical applications. As QB-DTC Director, he leads transdisciplinary initiatives fostering collaboration between quantum physics and biosciences. His technical expertise includes time-correlated single-photon counting , common-path interferometry , and ultrafast fluorescence depolarization techniques.

Sofya RaskhodnikovaView profile

Professor

• Sublinear-time algorithms
• Data Privacy
• Approximation Algorithms
• +3 more

Sofya Raskhodnikova is a Professor in the Department of Computer Science at Boston University, part of the College of Arts and Sciences. She holds a Ph.D. from MIT and has held positions at Penn State University and postdoctoral fellowships at the Hebrew University of Jerusalem and the Weizmann Institute of Science. Her research focuses on sublinear-time algorithms, data privacy, approximation algorithms, and complexity theory. She is a recipient of the NSF CAREER Award and has contributed significantly to the theoretical foundations of privacy-preserving computation and algorithm design. Education: Ph.D. in Computer Science from MIT (2003), postdoctoral research at Hebrew University of Jerusalem and Weizmann Institute of Science (2003–2006). Visiting positions at UCLA, Harvard University, and the Simons Institute for the Theory of Computing. Research Interests: Sofya’s work bridges theoretical computer science and practical applications, emphasizing algorithms that operate efficiently on large datasets. Key areas include property testing (e.g., monotonicity, sortedness), differential privacy, and sublinear-time algorithms. She explores how algorithms can analyze data while preserving privacy guarantees and minimizing computational resources. Publications: Over 50 peer-reviewed articles in top venues such as STOC, FOCS, and SODA, with recent contributions focusing on dynamic graph algorithms under privacy constraints and robust property testing against adversarial noise. Professional Activities: Editor for ACM Transactions on Computation Theory and Algorithmica ; program committee chair for WOLA 2021 and CSR 2022; active in mentoring initiatives like Sigma Camp and Artemis. Advising & Students: Current advisees include Ephraim Linder and Debanuj Nayak. Notable alumni include Iden Kalemaj (Meta Research) and Nithin Varma (Max Planck Institute). She has supervised over 15 Ph.D. students and postdocs, fostering a collaborative research environment.

Joseph MooreView profile

Assistant Professor

• Aerial Robotics
• Computational Control
• Learning-based Control
• +3 more

Dr. Joseph Moore is an Assistant Professor in the Department of Mechanical Engineering at Johns Hopkins University (JHU), serving as Director of the Agile and Intelligent Robotics (AIRO) Laboratory. He is affiliated with the Laboratory for Computational Sensing and Robotics (LCSR), the Institute for Assured Autonomy (IAA), and holds a Bridging Faculty appointment in the Research and Exploratory Development Department (REDD) at JHU/APL. His research focuses on computational control, machine learning, and robotics to enable agile systems operating in complex environments. Dr. Moore previously served as Robotics Group Chief Scientist at JHU/APL, leading projects on hybrid unmanned aerial-aquatic vehicles and aerobatic fixed-wing systems. He has secured funding as Principal Investigator (PI) for ONR, DARPA, and ARL programs, particularly in post-stall maneuvering control and multi-robot coordination. His work emphasizes robust control strategies for autonomous systems in constrained environments. Research interests include aerial robotics, optimization, and learning-based control. Notable contributions involve NMPC-based systems, UAV navigation, and adaptive control for uncertain environments. His recent articles highlight advancements in swarm coordination, morphing-wing UAVs, and PAC-NMPC frameworks. Dr. Moore advises students such as Mark Gonzales and Adam Polevoy. Key grants include ONR/DARPA-funded projects on post-stall flight control and Army-funded multi-robot coordination efforts. His lab (AIRO) and collaborations (LCSR, IAA) drive applied and theoretical robotics research.

Ambarish KulkarniView profile

Assistant Professor

• Multi-scale molecular modeling
• Data science for materials discovery
• Catalysis
• +5 more

Ambarish Kulkarni is an Assistant Professor in the Department of Chemical Engineering at the University of California, Davis. His research focuses on multi-scale molecular modeling, data science for materials discovery, catalysis, and separations. He combines quantum chemistry methods (e.g., wave function theory, density functional theory) with classical simulations and machine learning to design novel materials for applications in catalysis, energy storage, and environmental remediation. Specific areas of interest include methane activation, CO 2 capture, and heterogeneous electrocatalysis. His work bridges theory and experiment, collaborating with experimental groups to validate computational findings. Notable projects include: Developing catalysts with atomically dispersed metals for enhanced reactivity Designing zeolite materials for selective chemical transformations Creating machine learning workflows to accelerate material discovery Recent research highlights the role of water in CO 2 adsorption mechanisms, the dynamic behavior of confined nanoparticles, and redox-cycling phenomena in zeolite-embedded catalysts. His computational tools like the Multiscale Atomic Zeolite Simulation Environment (MAZE) enable detailed analysis of complex material behaviors. No scientific awards are explicitly listed in the provided information. His advising activities and grants are not detailed in the current data, but his extensive publication record indicates active research collaboration and funding support.

Karl-Erik ÅrzénView profile

Professor

• Control Engineering
• Cyber-Physical Systems
• Real-Time Systems
• +9 more

Karl-Erik Årzén is Professor and Head of the Department of Control Engineering at Lund University's Faculty of Engineering. He is also Co-director of the Wallenberg AI, Autonomous Systems and Software Program (WASP) and a key member of ELLIIT, the excellence center in information technology. His roles include leadership in AI and digitalization profile areas at both LTH and Lund University. His research lies at the intersection of control engineering and computer science, with a focus on cyber-physical systems, real-time systems, embedded control, and resource management in cloud and edge computing environments. He has pioneered methods for predictable performance in cloud applications and dynamic resource allocation using control-theoretic approaches. The recent publications highlight a strong trend in control over the cloud and edge, real-time scheduling co-design, distributed camera systems, and reinforcement learning for auto-scaling. Key topics include model predictive control, LQG-based scheduling, bandwidth allocation, and robustness in cyber-physical systems. The work spans theoretical control design and practical implementation in distributed systems. His scientific awards include multiple Best Paper Awards from IEEE and ACM conferences in 2018, 2016, and 2004, recognizing excellence in autonomic computing, edge computing, and real-time systems. Best Paper Award, IEEE International Conference on Autonomic Computing, 2018 Best Paper Award, IEEE International Conference on Edge Computing (EDGE), July 2018 Best Paper Award - RTNS 2016 Best Paper Award - RTCSA 2004 Årzén has supervised over 20 PhD students, including Mikael Johansson, Anton Cervin, Yang Xu, and Per Skarin, and currently supervises Ahmed Al Bayati and Max Nyberg Carlsson. His grant portfolio includes major projects such as WASP, AORTA (VINNOVA), and ELLIIT's 'Robust and Secure Control over the Cloud'. He has also contributed to innovation through tools like TrueTime and Jitterbug. He leads the RobotLab LTH initiative and is involved in the Nordic University Hub on Industrial Internet of Things (HI2OT). His work bridges academia and industry, with collaborations on adaptive control, cloud-native systems, and autonomous robotics.

• Technology in Education
• Virtual and Extended Realities
• Artificial Intelligence in Assessment
• +4 more

Professor Edward Palmer is a faculty member in the School of Education at the University of Adelaide, serving as Director of the Unit of Digital Education and Training and Acting Deputy Head of School. His research focuses on technology's role in education and training, particularly in virtual/extended realities, AI-driven assessment, and personalized learning approaches. He has secured over $3 million in funding from government and industry partners, with projects addressing AI ethics, VR applications in medical training, and MOOC design. Education & Roles: Holds academic leadership positions and directs digital education initiatives. Research: Investigates AI in education, VR for situational awareness, and innovative assessment methods. Active in collaborative projects with industry and defense sectors. Grants & Funding: Secured significant grants for ventures in AI ethics, VR training simulations, and digital health hubs. Labs/Teams: Leads the Unit of Digital Learning and Society, collaborating with postdocs like Daniel Lee on AI and VR projects. His work emphasizes practical applications, such as medical procedure training in VR and adaptive learning systems. He mentors HDR students and postdocs in AI-driven training scenarios and digital education innovation.

Katja ThoringView profile

Professor

• Creative Workspace Design
• Design Thinking
• Generative AI in Design
• +5 more

Prof. Dr. Katja Thoring is a Full Professor of Integrated Product Design at the Technical University of Munich (TUM School of Engineering and Design). She holds a doctorate in Design Research from Delft University of Technology and has previously served as Professor of Integrated Design at Anhalt University of Applied Sciences in Dessau from 2009–2022. Her research bridges product design, architectural space, and technology, focusing on how physical environments stimulate creativity and design processes across functional, emotional, and cognitive dimensions. Key areas include generative AI applications in design, innovative research methodologies, and creative workspace design. She developed methods like the 'Delphi Design Sprint' and contributed to frameworks such as the FOD (Future-Oriented Design) model. Thoring is a member of prominent design societies (DGTF, Design Society, DRS) and a founding member of the Academy of Design Innovation Management (ADIM). Notable awards include the 'Best Paper Award' at ADIM Conference (2017) and recognition as a top early-career researcher (2019). Her work integrates design education innovation, with studies on pedagogical spaces and cross-cultural design thinking. She has published extensively on design knowledge models, creative environments, and future-oriented design strategies.

Nour MoustafaView profile

Associate Professor

• Cyber Security
• Computer System Security
• Networking and Communications
• +7 more

Dr. Nour Moustafa is an Associate Professor and ARC DECRA Fellow at the School of Systems & Computing (SysCom) , University of New South Wales (UNSW) Canberra , Australia. He leads the Intelligent Security Group and focuses on developing AI/ML-driven cybersecurity frameworks for smart systems. Educated at Helwan University (BSc/MSc in Information Systems) and UNSW (PhD in Cybersecurity). Research Interests include intrusion detection, threat intelligence, privacy preservation, digital forensics, and cyber resilience, with methodologies spanning statistical analysis , machine learning , and deep learning applied to IoT , Edge/Cloud , and Industrial IoT environments. His work emphasizes federated learning for privacy preservation, blockchain for secure AI, and digital twins for network self-healing. Notable contributions include the TON-IoT , Bot-IoT , and UNSW-NB15 datasets for cybersecurity evaluation. Scientific Awards : 2020 Spitfire Memorial Defence Fellowship ACM Distinguished Speaker IEEE Senior Member He has served as guest associate editor for IEEE Transactions journals and held leadership roles in conferences like IEEE TrustCom . His research bridges academia and industry, with over 75 publications in top-tier venues.

Hak-Keung LamView profile

Professor

• Fuzzy Control Systems
• Neural Networks
• Control Theory
• +4 more

Dr. Hak-Keung Lam is a Reader in the Department of Engineering at King's College London, part of the Faculty of Natural, Mathematical & Engineering Sciences. He holds an IEEE Fellowship and has been a Clarivate Web of Science Highly Cited Researcher since 2018. His research focuses on fuzzy control systems, neural networks, stability analysis, and their applications in biomedical and engineering domains. Education: Dr. Eng. (2000), B. Eng. (1995), both from Hong Kong Polytechnic University. Research Interests: Fuzzy modeling, neural network-based control, computational intelligence, machine learning, and biomedical applications such as ECG/EEG signal classification. His work bridges theoretical advancements with practical implementations in robotics, autonomous systems, and healthcare technology. Publications: Over 480 publications (as of 2023) in top-tier journals and conferences, with a focus on control systems, fuzzy logic, and intelligent systems. Recent work includes fault-tolerant control, cyber-physical systems, and explainable AI. Awards: IEEE Fellow (2019), 1st Place in PhysioNet Computing in Cardiology Challenge (2022). Grants/Projects: Active projects include fuzzy control system stabilization, autonomous robots in healthcare environments, and networked control of robotic systems. Labs/Teams: Center for Robotics Research, contributing to solutions for societal challenges through robot-centric approaches.

Shawne D. MiksaView profile

Professor

• Information Science
• Library and Information Science
• Information Organization
• +5 more

Dr. Shawne D. Miksa is a Professor in the Department of Information Science at the University of North Texas (UNT), College of Information. He specializes in information organization, cataloging standards, and metadata. His research focuses on bibliographic control, information behavior, and the history of library and information science. Education: Ph.D., Library and Information Sciences, Florida State University, 2002 M.S., Library and Information Sciences, Florida State University, 1997 B.A., Liberal Arts with Anthropology minor, University of Central Florida, 1995 Research Interests: Dr. Miksa's work addresses cataloging rules (e.g., RDA, AACR2), metadata standards (MARC21), authority control systems, and LIS education. He explores theoretical frameworks like FRBR/LRM and investigates the intersection of bibliographic control with information behavior and scholarly communication. Grants & Professional Activities: Recipient of OCLC/ALISE grants (2004–2005) for cataloging tool utilization studies. Leadership roles in ALA's Core Metadata and Collections Section, ALISE, ASIST, and ISKO. Editor of the Journal of Library Metadata and contributor to key publications on RDA and FRBR. Recent Articles: Recent work analyzes trends in Cataloging & Classification Quarterly (2024), explores linked data in metadata (2021), and examines Elfreda Chatman's theoretical contributions (2021). Dr. Miksa's research bridges cataloging practices with evolving digital environments. Labs/Teams: Active in cross-disciplinary initiatives like the MARC Content Designation Utilization Project and collaborates with global LIS networks.

Lizzie MullerView profile

Associate Professor

• Critical Heritage Studies
• Museum and Archive Studies
• Art History and Theory
• +9 more

Associate Professor Lizzie Muller serves as Director of Research in the School of Art & Design at the University of New South Wales. An accomplished curator and researcher, she specializes in audience experience and interdisciplinary collaboration, with a particular focus on the future of museums as sites of knowledge production. Her research bridges curatorial practice with theories and methods from participatory design and interaction design, developing audience-centered curatorial methodologies and innovative approaches to audience research. Her work extends to preservation and archiving, particularly experiential documentation and oral histories of media art. Co-author of Curating Lively Objects: Exhibitions Beyond Disciplines (Routledge Museum Studies Series, 2022) Elected Councillor of the Sydney Culture Network Co-founder of the bi-monthly Sydney Culture Data Salon with Keir Winesmith Muller's research output demonstrates a consistent trajectory exploring the intersection of art, science, and technology through major international exhibitions including Human Non Human (Powerhouse Museum, 2018/19) and A Working Model of the World (staged across UNSW Galleries, Parsons School of Design, and University of Dundee). Her recent work focuses on art-science collaborations, deep time history through the ARC Centre for Excellence in Australian Biodiversity and Heritage, and the development of audience-centered curatorial frameworks. Scientific Awards: 2024 ADA Deans Award for Excellence in Higher Degree Supervision Muller leads significant research initiatives as Chief Investigator on multiple ARC-funded projects including the ARC Linkage project Curating Third Space: The Value of ArtScience Collaboration and SSHRC-funded research on The Living Effect and Curating Lively Objects . She has supervised numerous PhD and MFA candidates, with a special focus on curatorial practice-based research, and currently serves as Program Director of the Master of Curating and Cultural Leadership at UNSW Art & Design.

María Noriega-SánchezView profile

Professor

• Language learning and teaching
• The role of translation in language teaching
• Curriculum design
• +6 more

Prof María Noriega-Sánchez is Professor of Spanish and Translation Studies at the University of Cambridge, Faculty of Modern and Medieval Languages and Linguistics, and a Fellow and Director of Studies in Modern and Medieval Languages at Sidney Sussex College. She has been teaching at Cambridge since 2008, specializing in Spanish language instruction from ab initio to advanced levels, translation studies, and contemporary Hispanic culture. Her research centers on innovative approaches to language pedagogy, particularly the role of translation as the 'fifth skill' in language acquisition. Prof Noriega-Sánchez has pioneered methods that integrate translation into language learning processes, challenging traditional approaches that often exclude translation from foreign language teaching. Her work explores how new technologies can enhance collaborative learning environments and develop effective language teaching materials. Prof Noriega-Sánchez's scholarly output reveals significant trends in translation pedagogy and multimodal communication. Her publications demonstrate a consistent exploration of how translation functions as both a teaching methodology and cognitive process in language acquisition. She has been instrumental in establishing translation as an essential component of language learning, bridging theoretical insights with practical classroom applications. Highly Commended in the Innovative Teaching category of the Cambridge SU Student-Led Teaching Awards (May 2023) As Director of Studies at Sidney Sussex College since 2009 and former Undergraduate Tutor (2015-2020), Prof Noriega-Sánchez has guided numerous students through their academic journeys. She has developed innovative Spanish language curricula at Cambridge, created interactive teaching materials for the Open University, and contributed to the 'Spanish at Your Fingertips' project developed by the University of Cambridge Language Centre in partnership with BBC Worldwide. Prof Noriega-Sánchez co-founded the Cambridge Conversations in Translation research group at CRASSH (2015-2018) and serves as Co-Convener of the Cambridge Translation Studies Network. Her collaborative work with Ángeles Carreres and other scholars has significantly influenced translation pedagogy both nationally and internationally, establishing her as a leading voice in the field of language education and translation studies.

• Behavioural Economics
• Evolutionary Game Theory
• Social Networks
• +5 more

Friederike Mengel is a Professor of Economics at the University of Essex and holds a Visiting Professorship at Erasmus University Rotterdam. She is also a Fellow of the Academy of Social Sciences (UK). Her research focuses on Behavioural Economics , integrating Game Theory , Evolutionary Dynamics , and Social Network Analysis . Key research themes include social influence in networks , opinion dynamics , emergence of social norms , and links between social identity, bounded rationality, and discrimination . Recent work explores Covid-19 impacts on productivity and innovation in hybrid work environments . Her scientific awards include the Best Paper Award from Quantitative Economics (2018) and recognition as an Academy of Social Sciences Fellow. Her publications span topics like cooperation in viscous populations , strategic behavior in repeated games , and gender bias in opinion aggregation , with media coverage in outlets like The Economist and Financial Times .

• Energy Efficiency in Communication Networks
• Quality of Service (QoS) and Quality of Experience (QoE)
• Network and Service Management
• +5 more

Dr. Frank Loh is a researcher at the Department of Computer Science III, University of Würzburg, specializing in energy efficiency, network performance, and Quality of Experience (QoE) in communication networks. His work focuses on optimizing LoRaWAN deployments, serverless computing, and edge-cloud environments, with an emphasis on reducing message collisions and improving resource utilization. He actively contributes to methodologies for gateway placement, traffic modeling, and energy consumption metrics. Research Areas Energy Efficiency in Communication Networks Quality of Service (QoS) and Quality of Experience (QoE) LoRaWAN Network Planning Edge and Serverless Computing Network Resource Analysis Recent Publications 2025: Energy modeling for 6G base stations 2025: Server cluster resilience via Markov models 2024: Serverless computing in edge-cloud environments 2024: LoRaWAN channel access optimization

Kimmo VehkalahtiView profile

Senior Lecturer

• Social Data Science
• Social Statistics
• Multivariate Methods
• +3 more

Kimmo Vehkalahti is a Senior University Lecturer and docent at the University of Helsinki, specifically affiliated with the Centre for Social Data Science within the Faculty of Social Sciences. He serves as a Teachers' Academy Supervisor in the doctoral program and maintains an active research profile with numerous publications and projects. His research interests focus on social data science, social statistics, multivariate methods, open data science, and statistical data processing using R programming. Vehkalahti has developed expertise in applying statistical methods to social science research questions and data visualization. His recent publications demonstrate a strong focus on multivariate analysis applications in behavioral sciences, social data visualization, and student well-being research. The publications span diverse areas including statistical methodology, data visualization techniques, and educational interventions. Fellow of the Teachers' Academy (2013) Best Teacher of the City: Kaupungin Paras Opettaja (2010) Good Teacher: Hyvä Opettaja (2009) Magister Bonus - Good Teacher (2003) One of the best teachers of Open University (2017) Vehkalahti actively supervises academic work with 40 thesis supervisions and 10 PhD supervisions documented. He participates in significant research projects including SASE Stress as strength in education (since 2022) and WELLS - Promoting university students' well-being and life-long learning (since 2019). His academic service includes conference participation, peer review, and organizational roles in international statistical organizations.