جست‌وجوی استاد و پژوهشگر

Yasuhiko Arakawaمشاهده پروفایل

استاد

• Semiconductor Quantum Dots
• Photonics
• Optoelectronics
• +۳ مورد دیگر

Yasuhiko Arakawa is a Professor at the Research Center for Advanced Science and Technology and Director of the Institute for Nano Quantum Information Electronics at the University of Tokyo. He holds the Hans Fischer Senior Fellowship at the TUM Institute for Advanced Study (TUM-IAS) since 2008, hosted by Gerhard Abstreiter, with a focus on Nano Photonics. His academic journey includes B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Tokyo (1975–1980). Dr. Arakawa’s research has revolutionized semiconductor quantum dot lasers, including their theoretical prediction and high-performance demonstration. His contributions also include advancements in single photon emitters at telecom wavelengths and high-temperature semiconductor devices. He has led national projects for METI and MEXT and organized major conferences like the 1998 IEEE Semiconductor Laser Conference and the 2005 International Quantum Electronics Conference. His work spans photonics, nanotechnology, and optoelectronics, with notable publications in Applied Physics Letters , Physical Review B , and IEEE Photonics Technology Letters . Awards include the Fujiwara Prize (2007), IEEE William Streifer Award (2004), and IBM Science Award. Arakawa’s affiliations include leadership roles in quantum information science and collaborations with institutions like TUM-IAS. His labs and research groups focus on nanophotonics, semiconductor nanostructures, and quantum device engineering, advancing fields from optical communications to quantum computing.

• Photonics
• Semiconductor Materials
• Optical Communications
• +۳ مورد دیگر

Professor Stephen Sweeney is a prominent academic in photonics and nanotechnology at the University of Glasgow. He holds a BSc from the University of Bath and a PhD from the University of Surrey. His research focuses on semiconductor materials for photonic devices, with applications in communications, energy, and biomedical fields. He leads the Semiconductor Photonic Materials and Devices group and serves as Convenor for Postgraduate studies in the James Watt School of Engineering. Education: BSc Applied Physics (University of Bath), PhD in Semiconductor Laser Physics (University of Surrey) Roles: Professor of Photonics and Nanotechnology, former Head of Physics Department at University of Surrey Industries: CTO of Zinir Ltd (UK photonics start-up) His research interests span laser technology, photonic integration, and energy-efficient systems. He has authored over 185 publications and holds prestigious fellowships from the Institute of Physics and SPIE. Recent work includes advancements in mode-locked lasers and photonic crystal devices. Awards: Fellow of the Institute of Physics Fellow of SPIE Grants & Collaborations: EPSRC Leadership Fellowship, EU advisory roles, and partnerships with global research agencies. His lab develops cutting-edge photonic systems for communications and sensing.

Arno Onkenمشاهده پروفایل

استادیار

• Data Science
• Machine Learning
• Computational Neuroscience
• +۷ مورد دیگر

Dr. Arno Onken is a Lecturer (Assistant Professor) in Data Science for Life Sciences at the School of Informatics, University of Edinburgh, where he is also affiliated with the Institute for Adaptive and Neural Computation. He leads a research group focused on developing machine learning and statistical methods for modeling neural activity and analyzing large-scale neuroscience data. His work bridges artificial intelligence and computational neuroscience. His research interests lie at the intersection of machine learning, statistics, and neuroscience. He develops flexible probabilistic models such as copulas and Gaussian processes, deep learning architectures like Vision Transformers for brain activity prediction, and matrix/tensor factorization techniques for dimensionality reduction in neural datasets. His group aims to uncover interpretable structure in complex neural recordings and understand how behavior and cognition are encoded in population activity. The recent publications reflect a strong trend in combining modern deep learning with classical statistical modeling to analyze large-scale neural recordings. His work spans from foundational methods in copula modeling and information theory to applications in predicting visual cortex responses and modeling brainstem-hippocampus interactions across sleep states. The research has been published in top venues including NeurIPS, CVPR, eLife, and PLoS Computational Biology. Dr. Onken actively supervises PhD students and has developed several open-source scientific software packages, including the Mixed Vine Toolbox and Population Spike Train Factorization Toolbox. He teaches core courses in Machine Learning and Pattern Recognition and Data Mining and Exploration at the University of Edinburgh.

André B.J. Kokkelerمشاهده پروفایل

استاد

• Cognitive Radio
• Beamforming
• MIMO Systems
• +۵ مورد دیگر

André B.J. Kokkeler is a Full Professor at the Digital Society Institute and affiliated with the Radio Systems department at the University of Twente. His research focuses on wireless communication systems, signal processing, and mmWave technology, particularly in applications like beamforming, cognitive radio, and error-resilient algorithms. Recent research outputs highlight his work on: Hybrid beamforming techniques for full-duplex integrated sensing and communication (ISAC) systems Energy-efficient iterative algorithm implementations Single-bit angle-of-arrival (AoA) localization methods mmWave channel characterization in reverberation chambers Radar-driven human gait modeling His work contributes to advancements in wireless systems for IoT, automotive radar, and energy-constrained environments. Collaborations span multiple institutions and focus on propagation modeling, antenna characterization, and sensing applications.

Mislav Balkovićمشاهده پروفایل

دانشیار

• Data Science
• Education Policy
• Labor Market Analysis
• +۷ مورد دیگر

Mislav Balković is an Associate Professor at Algebra University of Applied Sciences, where he has served as Director and Dean since 2000 and 2009, respectively. He drives strategic development for the Algebra Group and contributes to national education policy through roles in expert bodies like the National Council for Science, Higher Education and Technology, and the Accreditation Council of the Agency for Science and Higher Education. Education: PhD (2016) from Faculty of Electrical Engineering and Computing, University of Zagreb Bachelor’s and Master’s degrees from Faculty of Electrical Engineering and Computing, University of Zagreb Research Interests: Mislav’s work bridges Data Science with applications in labor market dynamics , education policy , qualification frameworks , and energy systems . His projects focus on smart grid optimization, digital identity protection, and AI-driven educational reforms. Publications Trends: His recent articles emphasize cross-disciplinary applications , including brain-computer interfaces for image generation, EU labor market analysis , and smart grid resilience . Earlier works explore blockchain-based academic credentials and data analytics in auditing . Grants and Projects: He has led ~50 EU and domestic projects , spanning smart tourist management , lean methodologies for screen creators , and ICT services for alternative communication . His policy work includes drafting laws on adult education and higher education reform. Leadership: Vice President of the Croatian Employers' Association in Education (HUP-UPO) and past President of the Sectoral Council for Electrical Engineering and Computing.

• Coding Theory
• Network Coding
• Information Theory
• +۴ مورد دیگر

Chih-Chun Wang is a Professor at the Elmore Family School of Electrical and Computer Engineering , Purdue University, with additional leadership roles as Associate Head for Facilities, Planning, and Staff. He earned his Ph.D. in Information Sciences and Systems from Princeton University in 2005, following an M.S. (2002) and B.S. (1999) in Electrical Engineering from Princeton and National Taiwan University, respectively. Research Interests: His work spans Network coding (graph-theoretic capacity, wireless network coding, feedback mechanisms) Coding theory (LDPC codes, Reed-Solomon decoding, iterative algorithms) Information theory (multi-user detection, network information theory) Signal processing (turbo equalization, space-time codes) Control theory (optimal stopping theory) Scientific Contributions: He has published extensively on Age-of-Information (AoI) minimization, low-latency coding, and multi-hop relay optimization. His research trends include Integrating machine learning with network coding Wireless security for Beyond-5G systems Distributed storage networks with intelligent helper selection Delay-constrained communication protocols Awards: Recognized as an IEEE Fellow in 2024 for contributions to network coding and information theory. Teaching: He teaches undergraduate courses like ECE301: Signals and Systems and graduate courses such as ECE639: Error Control Coding , with a focus on iterative decoding, LDPC codes, and network information theory. Advising: Supervised 15+ Ph.D. students, including current advisees Pin-Wen Su (delay-oriented coding), Wonjun Lee (cyber-physical systems), and Giles Bischoff (low-latency systems). Former students hold prominent roles at institutions like Google, Meta, and Intel.

Mauricio Villarroelمشاهده پروفایل

دانشیار

• Digital Health
• Non-contact Physiological Monitoring
• AI in Medicine
• +۷ مورد دیگر

Professor Mauricio Villarroel is an Associate Professor of Biomedical Engineering at the University of Oxford's Institute of Biomedical Engineering and a Fellow of Magdalen College. He leads the Laboratory for Computational Medicine and Technology (LCMT), which focuses on improving clinical decision-making through digital health innovations for both high-income and low- or middle-income countries. Villarroel was born in Bolivia where he completed his undergraduate engineering degree before obtaining his doctoral degree in Engineering Science from the University of Oxford. He previously worked as a research scientist at the Health Sciences and Technology department at MIT and Harvard University, collaborating with multidisciplinary teams from academia, hospitals, and industry to develop advanced monitoring algorithms for intensive care. He returned to Oxford as a post-doctoral research assistant in Data Fusion & Telehealth and later served as a Senior Researcher in Next Generation of Digital Health. His research focuses on developing non-contact video-based physiological monitoring technologies to create personalized biomarkers of health. He has founded the spinout company OxeHealth based on his early work. Currently, his laboratory develops AI models to identify meaningful physiological changes using multimodal sensing technologies including video cameras, wearable devices, wireless technologies, smartphones, and body-worn sensors. His primary research areas include cardiovascular disease and neurodegenerative diseases, spanning from early detection of chronic conditions to in-hospital monitoring and remote management in community settings. He is also the first academic appointment of The Podium Institute for Sports Medicine and Technology, where he develops technologies to monitor factors leading to sports injuries in young athletes aged 11-18 years. Analysis of his recent publications reveals a strong focus on non-contact physiological monitoring, particularly using photoplethysmography and video-based technologies. His work spans cardiovascular monitoring (blood pressure estimation, circadian rhythms), neurological applications (movement disorders), respiratory monitoring (particularly in infants), and sports medicine (athlete screening). A consistent theme across his research is the development of AI-driven, multimodal approaches to extract meaningful clinical information from non-invasive or contactless monitoring systems. Villarroel has received significant recognition for his work, with multiple publications referenced in patents and clinical guidelines. His research has been picked up by news outlets and widely shared on social media platforms, indicating substantial impact in both academic and practical domains. His work on non-contact monitoring has particularly gained attention for its potential applications in resource-limited settings. As a research leader, Villarroel collaborates extensively with clinicians, engineers, and industry partners. His laboratory offers DPhil opportunities at the intersection of medicine, engineering, and technology. His research has led to practical applications including technologies for monitoring post-operative patients, detecting apnea in infants, and screening athletes for cardiac conditions that could lead to sudden death. The Laboratory for Computational Medicine and Technology maintains strong connections with Oxford's Medical Sciences campus, adjacent to the Churchill Hospital, facilitating direct translation of engineering innovations into clinical practice. The lab's work bridges multiple domains including computer vision, signal processing, AI, and clinical medicine to address significant healthcare challenges.

Olga Oleinikovaمشاهده پروفایل

دانشیار

• Migration Studies
• Eastern European Migration
• Democracy Studies
• +۷ مورد دیگر

Dr. Olga Oleinikova is an Associate Professor and Director of the Social Impact Technologies and Democracy Research Hub (SITADHub) within the School of Communication at the University of Technology Sydney (UTS), Australia. Internationally recognized for her contributions to research and social impact, she has been named among Forbes Top 40 Global Ukrainians and Forbes 30 Under 30 Asia. She was also a finalist for the Australian Council of Humanities, Arts and Social Sciences (CHASS) Future Leader Award. Her educational background includes a PhD in Sociology from the University of Sydney (2016), with prestigious research fellowships at Oxford University's European Studies Centre (2018-2019), Charles University in Prague (2023-2024), and the WZB Berlin Social Science Center (2015). Dr. Oleinikova's research focuses on migration studies (particularly Eastern European migration to Australia), democracy studies, diaspora politics, and social impact technologies. Her work examines life strategies of migrants navigating displacement, democratic performance in Ukraine and Europe, and the intersection of technology and democracy. She has developed a theoretical framework distinguishing between 'achievement life strategies' and 'survival life strategies' among migrants from crisis regimes. Her publication portfolio includes several acclaimed works, with her most recent book 'New Eastern European Migration to Australia: From Ukraine, Czech Republic and Hungary' (Palgrave, 2023) examining new migration patterns. Her research demonstrates consistent focus on Eastern European migration, diaspora politics, and democratic development, with increasing attention to technology's role in democratic processes. Forbes Top 40 Global Ukrainians Forbes 30 Under 30 Asia CHASS Future Leader Award Finalist Visa People's Choice Award Anthill 30 Under 30 Winner Dr. Oleinikova has secured over $3 million in funding for social and commercial initiatives. She serves on several nonprofit boards, acts as an advisor to the Australia-Ukraine Chamber of Commerce, and mentors through the 1991 Open Data Incubator and Future Schools Australia. She founded the SITAD Visiting Fellowship Program, supporting Ukrainian early-career researchers and postgraduate students. Her media reach is substantial, with expert commentary featured in BBC News, Bloomberg, ABC News, CNA, The Conversation, Politico, SBS, and KyivPost, reaching an estimated 9.1 million people. She has delivered more than 30 keynote and invited talks at leading institutions worldwide. SITADHub, which she founded and directs, is a dynamic networked research center with 170 associates across 16 countries actively researching democracy, human-computer interaction, and global mobility, with a focus on Ukraine and broader Eastern Europe. The hub conducts unique research and maintains university partnerships throughout Europe and the Asia Pacific, including with WZB Berlin Social Science Research Centre, University of Oxford, and University of Sydney.

Lianne Lefsrudمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability
• Organizational Theory
• +۵ مورد دیگر

Lianne Lefsrud serves as Associate Professor and Risk, Innovation, and Sustainability Chair (RISC) in the Department of Chemical and Materials Engineering at the University of Alberta's Faculty of Engineering. Her interdisciplinary research bridges engineering, social sciences, and policy to transform risk management practices across energy, mining, construction, and railroading industries, directly influencing regulations, building codes, and industry operations for sustainable development. Her academic credentials include: BSc in Civil Engineering (Cooperative Program), University of Alberta (1994) MSc in Interdisciplinary Civil & Environmental Engineering and Sociology, University of Alberta (1996) PhD in Strategic Management and Organization, Alberta School of Business (2014) Dr. Lefsrud's research centers on risk management frameworks for sustainability challenges. She examines hazard identification, social license to operate, and technology adoption drivers in high-hazard industries, with emphasis on prospective risk assessment (e.g., hydrogen infrastructure design) and retrospective analysis (e.g., microplastic pollution impacts). Her work integrates circular economy principles into energy systems while addressing unintended consequences across UN Sustainable Development Goals. Recent publications (2024-2025) demonstrate heavy focus on machine learning applications for rail and construction safety, hydrogen infrastructure risk analysis, and science denial mitigation. Key patterns show cross-industry adaptation of AI for incident prediction, regulatory gap analysis for emerging energy systems, and socio-technical approaches to reconcile sustainability goals with operational realities. Scientific recognition includes: Erb Post-Doctoral Fellowship (University of Michigan) Dow Sustainability Research Fellowship (Ross School of Business) Dr. Lefsrud mentors graduate students through industry-integrated projects like her Sustainable Design course where teams generated patents and city solutions. Her research secures Alberta Innovates funding with 1:4 industrial-to-federal matching, collaborating with Suncor, Transport Canada, and Canadian Standards Association. Grants target practical implementations including railcar inspection systems and hydrogen safety protocols. She co-founded Insight Risk Systems and leads the Lefsrud Lab, prioritizing inclusive teams with under-represented groups (women, Indigenous, LGBTQ2S+, neurodiverse) to tackle 'wicked problems' in sustainability. The lab leverages interdisciplinary partnerships across engineering, computer science, psychology, and environmental sociology for real-world risk management solutions.

Le-Nam Tranمشاهده پروفایل

پژوهشگر

• Wireless Communications
• 5G/6G Network Optimization
• Signal Processing
• +۴ مورد دیگر

Dr. Le-Nam Tran is a researcher at the UCD School of Electrical & Electronic Engineering , University College Dublin. His work focuses on optimizing the last hop of 5G/6G wireless networks through mathematical programming, with emphasis on energy efficiency, interference management, and security against eavesdropping. Develops low-cost, low-complexity transmission techniques Projects supported by Science Foundation Ireland Career Development Award Author of over 80 peer-reviewed publications Research Keywords: Wireless Communications Network Security Signal Processing Energy-Efficient Systems Beamforming Optimization Interference Mitigation

Cong Puمشاهده پروفایل

استادیار

• Network Security
• Data Privacy
• Applied Cryptography
• +۴ مورد دیگر

Dr. Cong Pu is an Assistant Professor in the Department of Computer Science at Oklahoma State University (OSU), Stillwater, Oklahoma. He holds a Ph.D. and M.S. in Computer Science from Texas Tech University and a B.S. in Computer Science and Technology from Zhengzhou University, China. His primary research focuses on network security, data privacy, applied cryptography, wireless networking, and mobile computing. He leads the Security & Networking Lab at OSU and has secured grants from NSF, NSA, and other agencies. His work emphasizes secure IoT and drone networks, privacy-preserving protocols, and AI-driven cybersecurity solutions. Education Ph.D. and M.S. in Computer Science, Texas Tech University, USA B.S. in Computer Science and Technology, Zhengzhou University, China Research Interests Dr. Pu's research spans network security , data privacy , applied cryptography , wireless networking , and mobile computing . He specializes in designing lightweight authentication protocols for IoT and drone networks, enhancing privacy in distributed systems, and developing AI-driven cybersecurity frameworks. Recent efforts include blockchain-assisted authentication, fault-tolerant data aggregation, and resource-efficient cryptographic protocols. Grants & Awards NSF SaTC Award ($288,398) for securing Internet of Drones systems (2024) NSA Cybersecurity Training Program Grant ($127,128) (2023) Best Paper Award at IEEE CCNC 2024 Listed in Stanford/Elsevier Top 2% Scientists (2025) Advising & Training He mentors Ph.D., M.S., and undergraduate students in areas like network security and applied cryptography. Offers research assistantships, independent studies, and visiting scholar collaborations. Has developed training programs for K-12 educators in cybersecurity via NSF/OSRHE grants. Labs & Infrastructure Leads the Security & Networking Lab , focusing on secure IoT/drones, privacy-preserving systems, and AI-driven security tools. Collaborates on projects involving blockchain, reinforcement learning, and hardware-software co-design for defense mechanisms.

Haibo Yangمشاهده پروفایل

استادیار

• Distributed Learning
• Federated Learning
• Optimization Algorithms
• +۳ مورد دیگر

Haibo Yang is an Assistant Professor in the Department of Computing and Information Sciences at Rochester Institute of Technology's Golisano College of Computing and Information Sciences. He earned his Ph.D. in Electrical and Computer Engineering from The Ohio State University under the supervision of Prof. Jia (Kevin) Liu. Rochester Institute of Technology , Golisano College of Computing and Information Sciences Ohio State University , Ph.D. in Electrical and Computer Engineering His research focuses on distributed and federated learning systems, examining how statistical and system variability affect algorithm performance under constraints like privacy and communication limitations. Key areas include optimization algorithms, communication-efficient frameworks, Byzantine robustness, and multi-modal adversarial attacks. He is actively involved in developing theoretically grounded solutions for scalable and intelligent distributed learning. Recent publications highlight advancements in multi-objective reinforcement learning, zeroth-order federated optimization, and robustness against heterogeneous client participation. His work has appeared in top venues like UAI, IJCAI, ICLR, AAAI, NDSS, ACM CCS-LAMPS, and ACM MobiHoc, with notable acceptance rates (e.g., 19.3% for IJCAI 2025). Current projects investigate exact convergence mechanisms and adaptive weighting strategies. Dr. Yang received the RIT AI Seed Funding and GWBC Award in February 2024. He supervises funded Ph.D. students and teaches advanced machine learning topics, including CSCI-635: Introduction to Machine Learning.

• Plant Synthetic Biology
• Biofuels
• Sustainable Bioeconomy
• +۴ مورد دیگر

Professor Jenny Mortimer is a Professor of Plant Synthetic Biology at the University of Adelaide's School of Agriculture, Food and Wine, and Interim Deputy Director of The Waite Research Institute. She holds affiliate roles at Lawrence Berkeley National Laboratory and the Joint BioEnergy Institute (JBEI) in the USA. Her research focuses on engineering plant cell walls for sustainable biofuels and crops, with a particular emphasis on synthetic biology applications for space agriculture (via the ARC Centre of Excellence Plants for Space) and resilient field crops (ARC Training Centre for Future Crops Development). Education: PhD from Cambridge University, followed by postdoctoral work in the UK, Japan (RIKEN), and the USA (Berkeley Lab). Research interests span plant cell metabolism, complex glycosylation, and bioeconomy development. Projects include reengineering plant cell walls for biofuel production (JBEI), enhancing plant-microbiome interactions (US DoE-funded m-CAFES), and developing Australian feedstocks for biojetfuel (ARC Research Hub). Key awards include World Economic Forum Young Scientist (2016/17) and 2023 Australian Society of Plant Sciences representative for 'Science Meets Parliament.' She is a handling editor for Plant Cell Physiology and The Plant Journal, and actively engages in public outreach. Grants include leadership in ARC-funded initiatives and collaborations with the US DoE. Supervision opportunities are available for Honours projects focusing on duckweed growth analysis and glycosyltransferase characterization. Labs/teams: The Waite Research Institute, JBEI, and ARC-funded collaborations.

Stefan Klusمشاهده پروفایل

مدرس

• Data-driven model reduction
• Transfer operator approximation
• Machine learning
• +۸ مورد دیگر

Dr. Stefan Klus is a Lecturer at the School of Mathematics and Physics, University of Surrey. His research focuses on data-driven model reduction, transfer operator approximation, and kernel-based machine learning applied to dynamical systems. He specializes in interdisciplinary applications across quantum physics, fluid dynamics, and computational biology. Education: PhD in Industrial Mathematics (2011, Paderborn University) and Habilitation (2020, Freie Universität Berlin). Research Interests : Data-driven modeling and reduced-order methods Koopman operator theory and transfer operators Machine learning for dynamical systems (e.g., Deeptime library) Tensor decompositions and quantum systems analysis Graph-based analysis (e.g., microbiome dynamics) Publications : Klus has contributed to over 50 peer-reviewed articles, with recent work emphasizing: Kernel methods for quantum chemistry and physics Tensor-based approaches for high-dimensional systems Applications in climate science (e.g., Pacific SST modeling) Agent-based modeling and social systems Technical Contributions : Co-developer of the Deeptime Python library for dynamical modeling Pioneer in Koopman operator-based model reduction Advanced graph kernel methods for microbiome analysis

• Robotics
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Dr. Danesh Tarapore is an Associate Professor at the University of Southampton specializing in robotics and AI. He focuses on human-robot interaction, swarm intelligence, and autonomous systems. His current research involves developing resilient robotic teams and optimizing learning algorithms for constrained environments. He supervises 6 PhD students in the iPhD MINDS and Computer Science programs. Dr. Tarapore's work bridges theoretical advancements with practical applications in autonomous navigation, multimodal dataset creation, and quality-diversity optimization. His publications span conferences like HRI and journals in robotics and AI. He collaborates with institutions like the University Hospital Southampton and the Boldrewood Innovation Campus. Research Interests: Human-robot collaboration, swarm systems, machine learning, and adaptive control Key Contributions: HRI-SENSE dataset, evolutionary subset selection algorithms, forest navigation frameworks Grants and Funding: Active projects in multi-agent systems and resilient robotics Dr. Tarapore maintains active roles in the robotics community through conference participation and interdisciplinary collaborations.