جست‌وجوی استاد و پژوهشگر

K. Krishnamoorthyمشاهده پروفایل

استاد

• Multivariate Statistics
• Statistical Inference
• Censored Data Analysis
• +۵ مورد دیگر

K. Krishnamoorthy is a Professor of Statistics and holds the Philip and Jean Piccione Endowed Chair in Statistics at the University of Louisiana at Lafayette's Department of Mathematics. His expertise spans multivariate statistics, statistical tolerance regions, censored data analysis, and occupational exposure assessment. He has contributed extensively to methodologies for lognormal distributions, small sample inference, and calibration techniques. His research addresses challenges in environmental and occupational health data analysis, including exposure monitoring and statistical validation of sampling devices. Education: Ph.D. in Statistics from Indian Institute of Technology-Kanpur (1985). He has supervised over 25 Ph.D. students, many now in academic and industry roles. Notable contributions include the development of statistical tolerance regions, methodologies for data with non-detects, and software tools like StatCalc for distributional computations. Grants and Projects: Principal investigator on multiple NIOSH-funded projects (R01-OH03628 series) totaling over $2.6M, focusing on statistical methodologies for occupational exposure assessment. These include studies on lognormal distributions, equivalence testing of sampling devices, and imputation techniques for non-detect data. Publications: Over 200 peer-reviewed articles in journals like *Journal of Statistical Planning and Inference*, *Technometrics*, and *Annals of Occupational Hygiene*. Authored/co-authored three books, including *Handbook of Statistical Distributions with Applications* (CRC Press) and *Statistical Tolerance Regions* (Wiley). Labs/Teams: Leads the statistical methodologies group at UL Lafayette, collaborating with occupational hygienists and environmental scientists. Developed open-source Fortran/R programs for statistical inference in specialized distributions.

Nikolopoulos Georgiosمشاهده پروفایل

پژوهشگر

• Quantum Communication
• Quantum Cryptography
• Quantum Information Processing
• +۳ مورد دیگر

Dr. Nikolopoulos Georgios is a Principal Researcher at the Institute of Electronic Structure & Laser (IESL/FORTH) since 2014. He holds a PhD in Physics from the University of Crete (2001), an MSc in Microelectronics-Optoelectronics (University of Crete), and a Physics Diploma from the University of Patras (1996). His career includes roles as a Research Associate at TU Darmstadt (2003-2006) and a Max-Planck Research Fellow (1997-1999). His research focuses on quantum communication, quantum cryptography, and quantum optics, with contributions to topics such as quantum key distribution, boson sampling, and physical unclonable functions. He has participated in major projects like the SECOQC quantum cryptography initiative and the SFB CROSSING security framework as a Mercator Fellow (2019, 2022). Key research interests include quantum security protocols, cryptographic algorithms leveraging quantum phenomena, and the theoretical foundations of quantum information processing. His work bridges quantum theory and practical applications in secure communication systems. Notable awards include the Mercator Fellowship for contributions to cryptography-based security solutions. His publications span quantum authentication, state transfer in spin chains, and optical network design, reflecting his interdisciplinary approach to advancing quantum technologies.

Alaster Yoxallمشاهده پروفایل

پژوهشگر ارشد

• Inclusive Design
• Packaging Accessibility
• Ergonomics
• +۳ مورد دیگر

Alaster Yoxall is a Principal Research Fellow in Human Centered Engineering at Sheffield Hallam University, affiliated with the Art Design and Media Research Centre and Culture and Creativity Research Institute. His research focuses on inclusive design principles for packaging accessibility, particularly for older adults and disabled users. He contributed to international standards like ISO 17480 and CEN15945, and collaborates with industry/healthcare sectors to improve packaging usability. Current research areas include NHS packaging protocols, dexterity assessment, and ergonomic tableware design. His expertise spans biomechanical modeling, usability testing, and co-design with end-users. He has extensive experience in developing methodologies for measuring human capabilities (e.g., torque strength, dexterity) and translating these into practical design solutions. Notable projects include analyzing cup accessibility in care homes, developing the Variable Dexterity Test, and studying finger motion coordination during packaging interactions. Recent work emphasizes healthcare packaging optimization and assistive cutlery for arthritis sufferers. He supervises PhD projects on topics like thin-film peel strength and dexterity analysis, employing methods such as eye-tracking, motion capture, and high-speed video analysis. Publications highlight interdisciplinary approaches combining engineering, psychology, and healthcare perspectives. Over 100 peer-reviewed articles demonstrate his contributions to packaging science, ergonomics, and inclusive design methodologies.

Shabnam Pejhanمشاهده پروفایل

استادیار

• Biomechatronics
• Rehabilitation Engineering
• Urban Mobility Systems
• +۳ مورد دیگر

Dr. Shabnam Pejhan is an Assistant Professor at Ontario Tech University's Department of Automotive and Mechatronics Engineering within the Faculty of Engineering and Applied Science. She specializes in biomechatronics, rehabilitation engineering, and urban mobility systems. Her research focuses on designing assistive devices for mobility, smart wearables for musculoskeletal health, and evaluating advanced mobility alternatives in urban environments. Education : PhD in Mechanical Engineering, University of Manitoba (2017) MSc in Mechanical Engineering, Sharif University of Technology (2006) BSc in Mechanical Engineering, Khajeh Nasir Toosi University of Technology (2003) Research Interests : Her work integrates biomechanical analysis with engineering solutions to address mobility challenges, including knee joint mechanics, orthopedic implant design, and human movement optimization. She emphasizes practical applications in rehabilitation and urban mobility safety. Publications : Her recent work explores electric bike safety dynamics, knee implant kinematics, and wearable technology for joint protection. Publications span journals like Accident Analysis & Prevention and Journal of Medical and Biological Engineering, with conference contributions at Orthopedic Research Society and Canadian Society of Biomechanics.

Frank Liمشاهده پروفایل

استاد

• Electrical Engineering
• RF Engineering
• Autonomous Power Conversions
• +۴ مورد دیگر

Dr. Frank Li serves as Professor and Director of the Rayen School of Engineering at Youngstown State University, holding a concurrent position as Chair of the Department of Electrical and Computer Engineering. His academic leadership spans multiple institutional roles including department chair since 2019. His educational background includes: Ph.D. in Electrical Engineering (2005, Case Western Reserve University) M.S. in Electrical Engineering (1999, Youngstown State University) B.S. in Electrical Engineering (1995, Ohio State University) Research focuses on RF engineering, autonomous power conversions, and applied magnetic fields with significant contributions to microelectronics security, wireless sensor networks, and structural health monitoring. His work bridges theoretical advancements with practical applications in battery technology, antenna design, and semiconductor verification. Recent publications demonstrate strong emphasis on terahertz antenna fabrication, trusted microelectronics, and novel sensor development. Key scientific recognitions include: Youngstown State University Distinguished Chairperson (2023) NASA Glenn Summer Faculty Fellowship (2016, 2017) As an educator, Dr. Li has mentored over ten graduate students and developed innovative low-cost laboratory systems for engineering education. His externally funded research includes collaborations with NASA and MIT's Francis Bitter Magnetic Laboratory where he served as visiting scientist (2014-2015). Current work involves advanced manufacturing techniques for RF components and security verification of integrated circuits.

Valerio Scaraniمشاهده پروفایل

استاد

• Quantum Physics
• Quantum Information Science
• Quantum Thermodynamics
• +۴ مورد دیگر

Valerio Scarani is a Professor at the Department of Physics within the School of Science at the National University of Singapore (NUS) , where he joined in 2007. He serves as Deputy Director of the Centre for Quantum Technologies (CQT) . His research focuses on theoretical quantum science , particularly in quantum information, Bell nonlocality, device-independent certification, and quantum thermodynamics. Education: PhD from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2000) Key Research Areas: Device-independent quantum certification Information-thermodynamics interplay Gravity effects on quantum sources Bell nonlocality foundations Quantum state smoothing Recent publication trends highlight four major directions: Time-evolution-based quantumness certification (e.g., harmonic oscillator dynamics) Epistemic approaches to the Second Law through Bayesian retrodiction Gravitational effect detection in quantum superposition states Foundational work on Tsirelson inequalities and entanglement witnesses Contact: physv@nus.edu.sg | Office: S15-03-14B | Phone: +65 6516 2813

HO Wen Weiمشاهده پروفایل

استادیار

• Quantum Many-Body Systems
• Quantum Information Science
• Condensed Matter Physics
• +۳ مورد دیگر

Dr. HO Wen Wei is an Assistant Professor of Physics at the National University of Singapore (NUS) and a recipient of the NUS Presidential Young Professorship. He holds a PhD from the University of Geneva (2017), an MS from the University of Waterloo (2014), and an AB from Princeton University (2013). His research focuses on novel nonequilibrium quantum many-body phenomena, quantum information science, and collaborations with experimental groups using Rydberg atoms and ultracold atoms. He explores topics like prethermalization, quantum many-body scars, and quantum state designs in chaotic dynamics. Education: PhD in Physics, University of Geneva (2017) MS in Theoretical Physics, University of Waterloo (2014) AB in Physics (Magna cum Laude), Princeton University (2013) Research Interests: Quantum many-body dynamics and thermalization Quantum information protocols for NISQ devices Quantum simulation with Rydberg and ultracold atoms Exact solutions and numerical methods (e.g., tensor networks) Applications in quantum state tomography and error mitigation Scientific Awards: NUS Presidential Young Professorship (2022–present) Advising & Collaborations: Dr. Ho leads the quantum many-body dynamics group at NUS, recruiting graduate students and postdocs. He collaborates with experimental teams on analog quantum simulators and has prior postdoctoral experience at Harvard and Stanford. His lab focuses on bridging theoretical models with experimental implementations. Labs & Teams: His research group at NUS integrates theoretical physics with cutting-edge quantum technologies, emphasizing interdisciplinary collaborations. Recent work includes studies on deep thermalization and quantum ergodicity in driven systems.

• Wireless Power Transfer
• Power Electronics
• Energy Harvesting Systems
• +۳ مورد دیگر

Paul Mitcheson is a Professor of Electrical Energy Conversion at Imperial College London's Department of Electrical and Electronic Engineering, part of the Faculty of Engineering. He leads the Control and Power Research Group and holds affiliations with the UK Power Electronics Centre. His expertise spans wireless power transfer, energy harvesting, and high-frequency power electronics. Education: MEng (2001) and PhD (2005) in Electrical and Electronic Engineering from Imperial College London. Research focuses on advancing wireless power systems for dynamic environments, including agricultural sensors, drones, and biomedical devices. Notable contributions include coil misalignment correction, high-efficiency inverters, and multi-frequency WPT systems. He co-chaired PowerMEMS 2013 and sits on the UK Power Electronics Centre's executive committee. Key achievements include IEEE Senior Membership and HEA Fellowship. His work integrates power electronics with emerging applications like soil-based sensor recharging and space-based solar power. Current projects emphasize low-energy sensor technologies and WPT system optimization for variable coupling scenarios. Awards: Fellow of the Higher Education Academy, Senior Member of IEEE. Labs/Teams: Control and Power Research Group, collaborating on innovations such as batteryless drones powered by multi-MHz IPT systems. Active in both academic research and industry partnerships for practical WPT solutions.

• Nanoscience
• Organic Optoelectronics
• Materials Physics
• +۷ مورد دیگر

Dr. Yun Li is an academic researcher affiliated with The University of Sydney, primarily associated with the Sydney Nanoscience Hub (SNH). Their research spans interdisciplinary fields including nanoscience, organic optoelectronics, materials physics, and poultry nutrition. Notable contributions include studies on organic lasers, singlet fission mechanisms, and sustainable poultry feed formulations. Dr. Li has published extensively on topics such as Bragg-order organic lasers, starch-protein digestive dynamics in poultry, and climate impacts on crop-based feed grains. Research interests intersect nanotechnology and agricultural science, addressing challenges in optoelectronic device engineering and feed efficiency optimization. Recent work focuses on reducing crude protein in poultry diets while maintaining performance, with implications for sustainable meat production. Collaborations include projects on phytase enzyme applications and amino acid metabolism in broiler chickens. Publications span journals like Applied Physics Letters , Scientific Reports , and Journal of Physical Chemistry Letters , with a growing body of work in animal nutrition and environmental agriculture. No scientific awards are explicitly mentioned in the available texts.

• Biometrics Security
• IoT Devices and Their Application
• Machine Learning
• +۲ مورد دیگر

Dr. Aseel Bedari is a Casual Academic at the Centre for Technology Infusion and holds roles as a Sessional Lecturer and Lecturer Assistant in the Engineering and Computer Science department at La Trobe University, Melbourne, Australia. Their research focuses on Biometrics Security, IoT applications, Machine Learning, and Connected Automated Vehicles (C-ITS Technology). Bedari has contributed to advancements in fingerprint authentication systems, particularly in enhancing security and privacy in IoT and 5G environments. Recent work includes developing cancelable biometric systems and feature transformation techniques to protect sensitive biometric data. Their publications span topics like fingerprint minutiae modeling, dynamic key generation, and secure authentication protocols. Education: Bachelor of Control and System Engineering, University of Technology, Baghdad (2005–2009) Master of Electronic Engineering, La Trobe University (2015–2017) PhD in Biometric Security, La Trobe University (2018–2022) Research Trends: Bedari’s articles emphasize securing biometric data in IoT and industrial systems, leveraging mathematical models (e.g., Möbius transformations) and signal processing (convolution-based methods). Their work bridges theoretical biometric analysis with practical applications like 5G networks and automated vehicles. Labs/Teams: Affiliated with the Centre for Technology Infusion, focusing on technology transfer and innovation in engineering and computer science.

Victoria Revellمشاهده پروفایل

دانشیار

• Sleep Medicine
• Circadian Rhythms
• Clinical Trials
• +۳ مورد دیگر

Dr. Victoria Revell is an Associate Professor in Translational Sleep and Circadian Physiology at the University of Surrey’s School of Biosciences, affiliated with the Surrey Sleep Research Centre. Her work focuses on circadian rhythms, sleep disruption, and interventions involving light and caffeine in clinical and operational settings. She has published over 50 peer-reviewed articles and led studies on sleep monitoring technologies for older adults and dementia patients. Research Interests: Age-related circadian changes and sleep patterns Impact of light environments on sleep quality Non-invasive sleep monitoring technologies Chronobiology of neurodegenerative diseases Advising & Grants: Supervised PhD students Rachel Firth (2019–2022) and Katie O’Brien (2021–2022). Secured a £1.7m grant for dementia sleep research. Her work includes developing contactless sleep monitoring tools and light-based interventions. Labs & Teams: Active in the Surrey Sleep Research Centre, collaborating on projects like the ENLIGHT checklist for light studies and the ‘Three Contactless Sleep Technologies’ validation initiative.

• Synthetic Chemistry
• Fluorescent Sensors
• Molecular Self-Assembly
• +۳ مورد دیگر

Dr. Senjuti Halder is a Research Fellow in the School of Chemistry at the University of St Andrews. Her research focuses on synthetic chemistry, molecular self-assembly, and the development of fluorescent sensors for anions, biomolecules, and environmental contaminants. She specializes in designing functional materials such as aggregation-induced emission (AIE) luminogens and bis-urea-based receptors, with applications in biomedical and environmental detection systems. Her work includes studies on the aggregation behavior of small molecules, solvent-tunable properties, and interactions with biological systems like human serum albumin. She has explored biomineralization processes directed by whey proteins and developed novel sensors for hypochlorite, hydrazine, and sulfite using cyanine and Schiff base chemistries. Dr. Halder’s research also involves crystallographic analysis of water clusters and halide encapsulation within molecular frameworks. Her publications span from 2018 to 2024, emphasizing interdisciplinary approaches at the interface of chemistry, materials science, and analytical techniques. She contributes to advancing sensing technologies and understanding fundamental molecular interactions in aqueous and physiological conditions.

Elena Gutierrez Farewikمشاهده پروفایل

استاد

• Biomechanics
• Rehabilitation Engineering
• Exoskeleton Control Systems
• +۳ مورد دیگر

Elena Gutierrez Farewik is a Professor in the Department of Engineering Mechanics at KTH Royal Institute of Technology, affiliated with the Digital Futures research center. She chairs the Working Group 'Rich and Healthy Life' within the Strategic Research Committee and leads multiple projects focusing on exoskeleton control systems, remote rehabilitation, and musculoskeletal modeling. Her research integrates biomechanics, robotics, and data-driven approaches to address mobility challenges in neurological and musculoskeletal disorders. Key projects include the Deep Camera-Based Movement Analysis system for tele-rehabilitation and real-time exoskeleton optimization. She has pioneered human-in-the-loop optimization strategies for dropfoot gait assistance and developed models to predict neuromuscular adaptations in spinal cord injury patients. Her work spans experimental validation, computational modeling, and clinical translation. Her academic contributions are reflected in over 50 peer-reviewed articles since 2012, emphasizing gait biomechanics, exoskeleton design, and musculoskeletal dynamics. She actively collaborates with Stockholm University and RISE Research Institutes of Sweden through Digital Futures, focusing on societal challenges like aging populations and neurorehabilitation.

Fabien HELIOTمشاهده پروفایل

مدرس

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۵ مورد دیگر

Fabien HELIOT is a Lecturer in Wireless Communications at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Institute for Communication Systems. His research focuses on wireless communication theory, signal processing for MIMO systems, electromagnetic exposure reduction, and visible/terahertz communications. He leads modules like Applied Mathematics for Communication Systems and chairs the EEE Student/Staff Liaison Committee. His awards include an IEEE Senior Membership and Advance HE Fellowship. Research highlights include projects on MIMO-RIS capacity analysis, EMF exposure measurement in 5G, and waveform design for terahertz systems. He has supervised 8 PhD students and contributed to over 100 peer-reviewed publications. Notable collaborations include EU-funded projects (LEXNET, EARTH) and industry partnerships. His work bridges theoretical analysis and practical implementations, with contributions to standards and patents like the pDCO-OFDM waveform. Teaching responsibilities include courses on 5G, mobile communications, and electronic laboratories. He has examined 18 PhD vivas and supervised 40+ student projects. His research also addresses energy-efficient communication and machine learning applications in network automation, reflecting a commitment to both academic rigor and real-world impact.

Xuan Luمشاهده پروفایل

استادیار

• Human-centered Data Science
• Artificial Intelligence
• Human-AI Collaboration
• +۴ مورد دیگر

Xuan Lu is an Assistant Professor at the School of Information, University of Arizona. She holds a PhD in Computer Science from Peking University, alongside dual bachelor's degrees in Computer Science and Economics. Her research focuses on human-centered data science, emphasizing methodologies that integrate machine learning, causal inference, and natural language processing to address societal challenges in work, education, healthcare, and technology-driven innovations. Education: PhD in Computer Science, Peking University (2016-2019) Master's in Computer Science, Peking University (2013-2016) Bachelor of Science in Computer Science & Bachelor of Arts in Economics, Peking University (2009-2013) Research Interests: Her work bridges human-AI collaboration, emoji analysis in developer communication, and future-of-work dynamics. She has contributed to premier venues like The Web Conference, UbiComp, and ICSE, with notable awards including the WWW Best Paper Award (2019) and Microsoft Research Asia Fellowship (2017). Awards & Honors: AI Chinese Female Youth Scholar List, Baidu Scholar (2023) Microsoft Research Asia Fellowship (2017) National Scholarship (2017, 2012) Outstanding Graduate of Beijing & Peking University (2013) Teaching & Service: Taught courses like INFO 521/ISTA 421 (Introduction to Machine Learning) and served on program committees for IEEE BigData, The Web Conference, and ACM SIGKDD.