جست‌وجوی استاد و پژوهشگر

Evelyn Moreauمشاهده پروفایل

استاد آموزشی

• Clinical Biochemistry
• Drug Monitoring
• Simulation

Evelyn Moreau is an Associate Teaching Professor (Retired) in the Faculty of Health Sciences at Ontario Tech University. She serves as Program Director and Practicum Co-ordinator for the Medical Laboratory Science program. Her professional background includes roles as a Research Laboratory Manager at Lakeridge Health Corporation, Study Co-ordinator at The Research Institute, and a laboratory specialist at Ortho-Clinical Diagnostics. She transitioned to academia after over a decade in clinical and industry settings. Education: Bachelor of Allied Health Sciences (Honours), Ontario Tech University Medical Laboratory Technologist certification (The Michener Institute) Advanced Registered Technologist certification (Lakeridge Health Corporation) Research Interests: Clinical Biochemistry, Drug Monitoring, and Simulation-based education. Her work emphasizes integrating clinical research into healthcare education, fostering interprofessional collaboration through simulation, and advancing medical laboratory science curricula. She focuses on enhancing diagnostic accuracy, quality management in laboratories, and practical skill development for healthcare professionals. Teaching Contributions: Courses taught include Clinical Biochemistry, Hematology, Microbiology, Histopathology, Transfusion Science, and leadership in simulated clinical practicums. She pioneered innovative teaching methods to bridge theory and practice in medical laboratory education. Collaborators: Includes experts such as Andrew MacRae (PhD), Peter Kavsak (PhD), Brenda Gamble (PhD), and Helene Goulding (MLT). Labs/Teams: Central to the Medical Laboratory Science program’s academic team, overseeing practicum coordination and curriculum development.

Jan Liphardtمشاهده پروفایل

دانشیار

• Biophysics
• Bioengineering
• Single-Molecule Studies
• +۵ مورد دیگر

Jan Liphardt is an Associate Professor of Bioengineering at Stanford University , leading the Liphardt Lab. His work bridges physics, engineering, and biology , focusing on single-molecule dynamics, non-equilibrium statistical mechanics, and privacy-preserving medical AI . He is affiliated with the Shriram Center and has pioneered tools like Secure Multiparty Computation for global health data analysis. Education : BA from Reed College (1996), PhD from Cambridge University (1999). His research spans single-molecule biophysics (e.g., RNA dynamics, nuclear pore mechanics) and applied projects in digital health , including a privacy-preserving COVID-19 symptom tracker with 3.6 million reports. Recent articles emphasize mechanogenetics , chromatin dynamics , and wearable stress sensors . Scientific awards include the Searle Scholar Sloan Research Fellowship Hellman Fellowship Mohr Davidow Innovator’s Award (2007) His lab mentors PhD students and postdocs in interdisciplinary methods, and he teaches courses on synthetic biology , AI in bioengineering , and blockchain applications . Collaborations with Lawrence Berkeley National Lab and UC Berkeley highlight his academic journey.

Damith Chatura Rajapakseمشاهده پروفایل

دانشیار

• Software Engineering Education
• Tech-Enhanced Learning
• Open Source Software Development
• +۴ مورد دیگر

Dr. Damith Chatura Rajapakse is an Associate Professor of Computer Science at the National University of Singapore (NUS) School of Computing. He received his Ph.D. in Software Engineering from NUS in 2006 and a First Class B.Sc. in Computer Science & Engineering from the University of Moratuwa, Sri Lanka, in 2001. Education Ph.D. in Software Engineering, National University of Singapore, 2006 B.Sc. (First Class Honours) in Computer Science & Engineering, University of Moratuwa, 2001 Dr. Rajapakse specializes in Software Engineering Education and Tech-Enhanced Learning . His research focuses on improving educational practices through software development, particularly via open-source projects that bridge classroom learning with real-world applications. The articles he has co-authored span topics in software engineering education, mobile application fragmentation, and code cloning in web and software development. His work emphasizes practical solutions for educational and technical challenges, with a focus on pedagogical tools and collaborative software design. Scientific Awards & Honours : Faculty Teaching Excellence Award – 2010, 2011, 2012 Annual Teaching Excellence Award – 2010, 2011, 2012 Honour Roll – 2013-2018 Fellow, NUS Teaching Academy Former Fellow, College of Alice & Peter Tan, NUS University Town Dr. Rajapakse founded the NUS-OSS Initiative , which includes widely used open-source educational tools like TEMMATES (peer feedback system), PowerPointLabs (presentation enhancement plugin), and CATcher (crowdsourced testing tool). These projects have benefitted over 1 million users globally and provide students with hands-on experience in maintaining long-term software solutions.

Zhiting Tianمشاهده پروفایل

دانشیار

• Materials Science
• Thermal Energy Systems
• Nanoscale Engineering
• +۳ مورد دیگر

Zhiting Tian is an Associate Professor and Eugene A. Leinroth Sesquicentennial Faculty Fellow at Cornell University's Sibley School of Mechanical and Aerospace Engineering. She directs the ZT Research Group, specializing in computational and experimental energy transport. Previously an Assistant Professor at Virginia Tech (2014-2018), she holds a B.E. in Engineering Physics from Tsinghua University (2007), an M.S. in Mechanical Engineering from Binghamton University (2009), and a Ph.D. in Mechanical Engineering from MIT (2014). Her research explores micro/nanoscale heat transfer, thermal energy conversion/storage, quantum computing applications, and biomaterials. Key interests include thermal management in hybrid materials and renewable energy systems. Recent publications demonstrate advancements in perovskite thermal conductivity, polymer-based thermal diodes, and 3D covalent organic frameworks. Her work has earned numerous accolades: DARPA Young Faculty Award (2023) NASA Early Stage Innovations Award (2021) NSF CAREER Award (2017) Presidential Early Career Award (2025) She leads interdisciplinary collaborations at the Cornell NanoScale Facility and mentors graduate researchers in energy materials and computational modeling.

• Japanese Discourse
• Second Language Acquisition
• Cognitive Linguistics
• +۳ مورد دیگر

Kyoko Masuda is a Professor of Japanese and Linguistics and Director of the Japanese Program at the Georgia Institute of Technology's School of Modern Languages. She holds a Ph.D. from the University of Arizona (2002) and has been at Georgia Tech since 2004, advancing to Associate Professor (2010) and Full Professor (2024). Her expertise spans Japanese Discourse, Second Language Acquisition, Cognitive Linguistics, and Sociocultural Theory. She specializes in integrating cognitive linguistics and sociocultural theory into language pedagogy, focusing on Japanese particles, interactional competence, and concept-based instruction. Dr. Masuda has authored/co-authored influential books such as *Cognitive Linguistics and Japanese Pedagogy* (2018) and *Concept-based Language Instruction* (2025). Her research bridges theoretical linguistics with practical language teaching, emphasizing corpus analysis and learner-centered approaches. Her recent work explores interactional particles in academic contexts and style-shifting in student-professor conversations. Her teaching portfolio includes courses like Discourse and Grammar, Applied Japanese Linguistics, and Critical Readings in Japanese Arts and Culture. She actively develops new curricula to enhance Japanese and linguistics education at Georgia Tech. Notable research trends include combining sociocultural theory with cognitive frameworks to address teaching challenges in Japanese as a foreign language. Her contributions to language pedagogy have shaped methodologies for teaching polysemous particles and promoting interactional competence. She advises students in linguistics and Japanese studies, contributing to academic communities through editorial roles and conference presentations on pedagogy and Japanese language structure.

Courtney Johnsonمشاهده پروفایل

استادیار

• Technical Communication
• Business Communication
• Customer/Client Relations
• +۳ مورد دیگر

Courtney Johnson is an Assistant Professor of the Practice of Technical Communications at Vanderbilt University's School of Engineering. Her role focuses on enhancing students' technical and business communication skills, drawing from her decade-long industry experience as a technical field engineer at Medtronic. She specializes in creating technical training programs for employees, physicians, and nurses, with expertise in customer relations and clinical research support. Education: Ed.D., Learning Organizations and Strategic Change, Lipscomb University M.A., Technical Communication, Texas Tech University B.E., Biomedical Engineering, Vanderbilt University Her research interests span technical communication strategies, blended learning methodologies, student engagement in educational settings, and leadership development. Though no specific grants or advising records are listed, her professional contributions emphasize translating technical knowledge into practical training frameworks. No scientific awards or lab affiliations are documented in the provided materials.

David Owensمشاهده پروفایل

استاد

• Product Development
• Creativity
• Innovation
• +۳ مورد دیگر

David Owens is a Professor of the Practice of Organizational Studies at Vanderbilt University's Owen Graduate School of Business and a Professor of the Practice of Engineering Management. He also serves as the Evans Family Executive Director of the Wond'ry, Vanderbilt's innovation and entrepreneurship hub. His academic roles are complemented by extensive industry experience, including CEO of Griffin Technology and consulting for organizations like NASA, Gibson, and LEGO. Dr. Owens holds a Ph.D. in Management Science and Engineering from Stanford University, alongside an M.S. in Engineering Product Design and a B.S. in Electrical Engineering. His research focuses on product development, creativity, innovation, and entrepreneurship, with notable contributions to healthcare technology, museum design, and leadership training. His book Creative People Must Be Stopped! explores systemic barriers to innovation. Owens' work has been featured in major media outlets and he is a recipient of numerous teaching awards. His consulting spans industries, emphasizing practical strategies for organizational change and product design. In leadership roles, he directs executive education programs and spearheads interdisciplinary initiatives like the Wond'ry Quantum Studio. His research blends academic rigor with real-world applications, addressing topics from healthcare systems to cultural product commercialization.

• Quantum Information
• Quantum Cryptography
• Post-Quantum Cryptography
• +۷ مورد دیگر

Carlo Ottaviani is a Senior Lecturer in the Department of Computer Science at the University of York and a member of the York Centre for Quantum Technologies. His academic qualifications include a PhD in Physics & Computer Science, and Fellowships from the Advance HE (HEA) in 2023 and 2013. He has held roles such as Senior Research Fellow and Research Associate within the department, contributing to quantum information, post-quantum cryptography, and quantum networks. Education: PhD in Physics & Computer Science PGCAP & Fellow of Advance HE (2023) YLTA & Associate Fellow of Advance HE (2013) Research Interests: Quantum Information and Quantum Technologies Quantum Cryptography (QKD), Post-Quantum Cryptography Quantum Optics and Quantum Atom-Optics Security, Continuous-Variable Quantum Systems Dr. Ottaviani has contributed to major projects, including the UK Quantum Technology Hub for Quantum Communications Technologies. His work focuses on developing secure quantum communication protocols and advancing theoretical frameworks for quantum systems. He actively participates in academic collaborations and has authored over 45 publications in peer-reviewed journals and conferences. Grants and Projects: Principal Investigator for projects on Coherent Control of Quantum Optical Systems and Quantum Non-Linear Optics Contributor to the EPSRC-funded UK Quantum Communications Hub Labs/Teams: York Centre for Quantum Technologies (YCQT) Quantum Information and Cyber Security & Privacy Research Groups

• Computer Vision
• Machine Learning
• Cognitive Robotics
• +۳ مورد دیگر

Dr. Kasim Terzic is a Lecturer at the School of Computer Science, University of St Andrews. He is affiliated with the Centre for Research into Ecological & Environmental Modelling and the Coastal Resources Management Group. His research focuses on computer vision, machine learning, cognitive robotics, and their applications in ecology and conservation. He also promotes open-source software solutions. Terzic holds a PhD in Computer Science from the University of Hamburg and has taught modules such as Computer Graphics and Machine Learning. He currently supervises four PhD students and serves as an External Examiner at Robert Gordon University. Education Background: PhD in Computer Science, University of Hamburg MSc in Information and Communication Systems, Hamburg University of Technology MSc in Global Technology Management, Hamburg University of Technology BEng (Hons) in Electronic Engineering, University of East Anglia Research Interests: Terzic’s work bridges computer vision with ecological conservation, developing algorithms for image analysis, robotic manipulation of deformable objects, and active vision systems. He emphasizes interdisciplinary approaches, combining AI with ecological monitoring and open-source technologies to enhance accessibility. His projects include fish scale circuli detection, robotic towel manipulation, and individual re-identification in wildlife populations. Advising & Grants: Supervises four PhD students and actively contributes to academic activities, including organizing public events like Doors Open @ Computer Science. His research has been published in venues like Sensors, Biology Methods and Protocols, and IEEE conferences. Labs/Teams: Collaborates with the Centre for Research into Ecological & Environmental Modelling and Coastal Resources Management Group, focusing on applying AI to environmental challenges.

Deepika Yadavمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Global Health
• Women’s Health
• +۳ مورد دیگر

Deepika Yadav is a Research Fellow at Stockholm University's Department of Computer and Systems Sciences (DSV), affiliated with the Stockholm Technology & Interaction Research (STIR) group. She leads the Digital Futures Postdoc Fellowship project 'Relational Aspects of Care in Intimate Digital Health Technologies' (2021–2023), focusing on designing technologies to address gaps in women’s healthcare. Her research bridges Human-Computer Interaction (HCI) and global development, emphasizing underrepresented groups and resource-constrained settings. Her work explores sociotechnical challenges in digital health technologies, particularly around intimate care such as fertility tracking, lactation support, and workplace health infrastructure. She employs innovative methods like Soma Design to enhance somatic literacy and co-design inclusive solutions. Collaborations span academic institutions including KTH Royal Institute of Technology and RISE Research Institutes of Sweden through the Digital Futures initiative. Key themes include trust in algorithmic health services, interpersonal care dynamics, and workplace adaptations for bodily needs. Her projects emphasize participatory design with marginalized communities, aiming to improve healthcare access and equity through technology. Recent publications focus on digital contraception, gig-worker health, and maternal support systems in India. Deepika’s research contributes to both academic discourse and practical innovations, fostering ethical tech development that prioritizes human well-being and societal impact. She has advised on collaborative learning platforms for community health workers and pioneered mobile health solutions in rural India.

• Cognition-Aware Systems
• Intelligent Reading Interfaces
• Digital Health
• +۳ مورد دیگر

Dr. Tilman Dingler is an Associate Professor in the Knowledge and Intelligence Design (KInD) section at the Faculty of Industrial Design Engineering (IDE), Delft University of Technology. He holds a PhD in Computer Science from the University of Stuttgart and has held roles at the University of Melbourne and Osaka Prefecture University. His research focuses on cognition-aware systems, intelligent reading interfaces, and digital health technologies. He is an expert in designing systems that adapt to cognitive states to enhance information processing and mitigate biases. Education: PhD in Computer Science, University of Stuttgart (Germany) Master of Science in Web Science, University of San Francisco (USA) Honours Degree in Technology Management, University of Munich (Germany) Research Interests: Cognition-Aware Systems: Sensing cognitive states like attention and alertness Bias-Aware Systems: Detecting and mitigating cognitive biases in decision-making Digital Health: Proactive monitoring systems for chronic disease management Intelligent Reading Interfaces: Enhancing readability and reading habits Article Trends: Recent work explores interventions to reduce social media addiction, AI-generated content for non-native readers, and tools for analyzing 360° video. His studies often bridge HCI, AI ethics, and health tech. Awards: Wolfgang Heilmann Award (twice) Fulbright Scholar Grants & Collaborations: Secured funding from NHMRC and Japan Science and Technology Agency. Leads projects like ODECO (Open Data Ecosystem) and SmartHeart (home-based heart failure monitoring). Labs & Teams: Active in IDE’s Human-Centred AI and Sustainable Design Engineering groups. Co-founded the SIGCHI Melbourne Local Chapter.

• Data Privacy
• Computer Science Education
• Academic Integrity in STEM
• +۳ مورد دیگر

Leanne Wu is an Associate Professor (Teaching) in the Department of Computer Science at the University of Calgary. She holds a PhD (2020), MSc (2010), and BSc (2003) from the same institution. Her work bridges technical computer science with pedagogical innovation and societal impact. Research focuses on three pillars: 1) Data Privacy (with emphasis on contextual integrity and interdisciplinary definitions), 2) Computer Science Education (designing curricula to enhance metacognition, project-based learning, and academic integrity), and 3) Data Science applications supporting experiential learning. Notable projects include a Teaching & Learning Grant-funded study on academic integrity attitudes in CS, and a nuclear energy news analysis capstone with Jason Donev. Publications span 20 years, reflecting early work in database performance (2002-2009) to recent innovations in education technology (2019+) and nuclear science communication (2024). Recent articles emphasize ethical AI use and learning analytics. Awards: Anita Borg Scholarship (2012), Grace Hopper Faculty Scholarship (2021) Advising includes supervising Hannah Ku's privacy & aging tech project and capstone collaborations. She does not currently supervise thesis-based graduate students. Labs/Teams: Active in university strategic initiatives around Energy Innovation and Human Dynamics. Collaborates on interdisciplinary projects linking CS education with nuclear science and humanities.

Philip B. Yasskinمشاهده پروفایل

دانشیار

• Mathematical Physics
• Differential Geometry
• General Relativity
• +۵ مورد دیگر

Philip B. Yasskin is an Associate Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. He holds a Ph.D. in Physics from the University of Maryland (1979) and has been at Texas A&M since 1988. His research focuses on Mathematical Physics, Differential Geometry, and applications of technology in STEM education, particularly in calculus and K-12 outreach. He has developed influential tools like Maplets for Calculus and MYMathApps Calculus textbooks, emphasizing interactive learning. Yasskin is a recipient of the 2018 Sigma Xi Outstanding Scientific Communicator Award, 2014 Raytheon Math Hero Award, and the 2008 ICTCM Award for educational technology innovations. Education: Ph.D., Physics, University of Maryland, 1979 M.S., Physics, University of Maryland, 1975 M.S., Applied Mathematics, University of Pennsylvania, 1971 B.A., Mathematics and Physics, University of Pennsylvania, 1971 Research Interests: Yasskin’s work spans theoretical physics and educational technology. In physics, he explores General Relativity, Differential Geometry, and Ambitwistor theory. In education, he pioneers tech-driven calculus curricula and outreach programs like TAMU Math Circle and Summer Educational Enrichment in Math (SEE-Math). His projects integrate augmented reality and AI to enhance spatial transformation learning in STEM disciplines. Grants & Collaborations: He led NSF-funded projects on spatial transformations in engineering education and Noyce scholarships for future math teachers. His collaborations include work with colleagues on Maplets for Calculus and AR-driven educational tools. Awards: 2018 TAMU Sigma Xi Outstanding Scientific Communicator Award 2014 Raytheon Math Hero Award 2008 ICTCM Award 2011 TAMU Distinguished Achievement Award for Teaching Gravity Research Foundation Essay Contest Honorable Mentions (1980, 1981) Outreach & Labs: Co-founder of TAMU Math Circle and SEE-Math, he also advises the Children’s Museum of the Brazos Valley’s mathematics exhibits. His team develops interactive tools like VecCalc and MYMathApps, fostering engagement in calculus and spatial reasoning.

Miroslav Begovicمشاهده پروفایل

استاد

• Smart Grid Technology
• Power System Protection
• Renewable Energy Integration
• +۳ مورد دیگر

Professor Miroslav Begovic is a Moore Professor in the Department of Electrical & Computer Engineering at Texas A&M University. His research focuses on smart grid technologies, power system protection, and resilient energy infrastructure. He holds a Ph.D. from Virginia Tech (1989), and degrees from Belgrade University (M.S. 1985, B.S. 1980). Affiliations: Texas A&M University, College of Engineering Roles: Academic leader in power systems, IEEE Fellow, and recipient of the 2019 IEEE Power & Energy Society Meritorious Service Award. His work emphasizes: - Wide-area monitoring and emergency control in smart grids - Microgrid protection using synchronized phasors and inverters - Voltage/frequency restoration in AC microgrids - Integration of distributed energy resources (DERs) - Cybersecurity for grid infrastructure (e.g., poisoning attack detection via machine learning) Notable contributions include capacitor-less D-STATCOM designs for voltage profile optimization and reinforcement learning-based protective relay systems. Over 150+ publications span topics like renewable energy economics, power electronics, and grid resilience. Google Scholar Profile: Link

• Second Language Acquisition
• Spanish Applied Linguistics
• Pedagogical Studies
• +۳ مورد دیگر

Hope Anderson is a Clinical Assistant Professor at Arizona State University (ASU), affiliated with the School of International Letters and Cultures. She is the founder of Teaching Solved LLC, a startup focused on leveraging technology to enhance language learning. Her work emphasizes hybrid language pedagogy and curriculum design, reflected in her 2018 book on blended language courses. Education: She holds a Ph.D. in Second Language Acquisition & Teaching (University of Arizona), with a focus on Pedagogical Theory and Program Administration. Additional degrees include M.A.s in Instructional Science, International Policy Studies, and Spanish, as well as a B.A. in Spanish and Music. Research Interests: Anderson specializes in hybrid language education models, curriculum development, and second-language acquisition methodologies. Her approach integrates technology to improve teaching practices, particularly in Spanish linguistics and program administration. Labs/Teams: Through Teaching Solved LLC, she collaborates with educators to implement tech-driven solutions for language instruction.