جست‌وجوی استاد و پژوهشگر

Peter Wardripمشاهده پروفایل

استادیار

• STEAM Education
• Formative Assessment
• Informal Learning Collaborations
• +۳ مورد دیگر

Peter Wardrip is an Assistant Professor of STEAM Education at the University of Wisconsin-Madison School of Education. His research focuses on bridging informal and formal learning environments, professional learning communities, formative assessment strategies, and making/tinkering pedagogy. He holds a PhD in Learning Sciences and Policy from the University of Pittsburgh, an MS in Human Ecology, and a BS in Latin Education from UW-Madison. Education Background: PhD in Learning Sciences and Policy (University of Pittsburgh, 2014) MS in Human Ecology (Centre for Human Ecology, 2004) BS in Latin Education (University of Wisconsin-Madison, 1997) Research Interests: Peter's work emphasizes collaborative learning frameworks, educator professional development, and innovative assessment methods in makerspaces. He has developed national frameworks for museum and library makerspaces, and co-designed observation tools for maker educators. His research often explores how educators use data to inform instruction and how informal learning spaces can enhance traditional education systems. Recent Article Trends: Recent publications focus on pandemic-era educational adaptations, assessment challenges in makerspaces, and role evolution of librarians/museum educators. He has contributed to foundational texts on maker pedagogy including Handbook of Research on Educational Communications and Technology and Makeology . Awards: INSPIRE Fellow (2018-2019), Research+Practice Collaboratory Fellow (2016), DML Design Research Committee Member (2014-2015) Grants & Advising: Peter has led projects funded by the Institute of Museum and Library Services, co-authored a national framework for museum makerspaces, and advised on digital badge systems in educational settings. He actively collaborates with institutions like the Children’s Museum of Pittsburgh and Carnegie Mellon’s Learning Media Design Center. Labs/Teams: Involved with the University of Pittsburgh’s UPCLOSE research group and the MIT Teaching Systems Laboratory through his INSPIRE fellowship. His work bridges university, museum, and K-12 partnerships to create scalable educational tools and frameworks.

Ivan Selesnickمشاهده پروفایل

استاد

• Signal Processing
• Sparse Signal Models
• Biomedical Signal Processing
• +۳ مورد دیگر

Ivan Selesnick is a Professor of Electrical and Computer Engineering at the NYU Tandon School of Engineering, with joint appointments in Biomedical Engineering and Radiology. He holds affiliations with the Center for Advanced Technology in Telecommunications (CATT) and leads the Selesnick Lab. His research focuses on signal and image processing, sparse signal models, wavelet analysis, and biomedical applications. He received his degrees from Rice University (BS, MEE, PhD in EE) and has been recognized with prestigious awards including the Alexander von Humboldt Fellowship (1997), NSF Career Award (1999), and IEEE Fellow (2016). Education: BS, MEE, and PhD in Electrical Engineering from Rice University (1990, 1991, 1996). He joined NYU Tandon in 1997 and served as a visiting professor at the University of Erlangen-Nuremberg in 1997. Research Interests: Signal Processing, Sparse Signal Models, Wavelet Analysis, Biomedical Signal Processing, and Optimization Techniques. His work emphasizes applications in medicine, imaging, and engineering systems. Awards: In addition to his fellowships, he received the Jacobs Excellence in Education Award (2003) and the Budd Award for Best Engineering Thesis (1996). He has held editorial roles at IEEE Transactions on Image Processing, Signal Processing Letters, and Computational Imaging. Teaching: Courses include Signals, Systems, and Transforms (EE 3054), Digital Signal Processing I/II (EL 6113/EL 7133), Wavelets and Filter Banks (EL 7163), and Biomedical Signal Processing (EL 9133). Labs and Affiliations: Director of the Selesnick Lab, involved in NYU Tandon Future Labs (business incubators) and CATT (telecommunications research). His research spans biomedical sensing, radar signal processing, and algorithm development for medical diagnostics.

• Building Information Modeling (BIM)
• Civil Engineering Informatics
• Tunneling and Underground Construction
• +۵ مورد دیگر

Markus König is a Professor of Informatics in Civil Engineering at Ruhr University Bochum, where he has been researching and teaching since October 2009. His work focuses on Building Information Modeling (BIM), digital construction technologies, and civil engineering informatics, with significant contributions to the development and implementation of digital methods in German construction industry. Dr. König earned his degree in civil engineering with a focus on applied computer science at Leibniz University Hannover, where he also completed his doctorate on cooperative building planning at the Institute for Building Informatics. He subsequently held a junior professorship for Theoretical Methods of Project Management at Bauhaus University Weimar before joining Ruhr University Bochum. His research spans multiple cutting-edge areas including Building Information Modeling (BIM), construction process simulation, tunneling informatics, infrastructure asset management, and the application of artificial intelligence and computer vision in civil engineering. As chair of the Building Informatics Working Group from 2012-2016, he played a key role in developing the first national BIM curriculum for German universities and serves as editor of the book 'Building Information Modeling: Technological Foundations and Industrial Practice.' Analysis of his recent publications reveals a strong trend toward semantic technologies, digital twins, automated compliance checking, and the integration of AI in construction processes. His work increasingly focuses on information containers, ontology development, and the application of large language models to infrastructure data, reflecting the evolving landscape of digital construction. Dr. König's significant contributions to digital construction have been recognized with prestigious awards: Lower Saxony-Bremen Construction Industry Award (2017) for 'services in the development and introduction of digital construction in Germany' Konrad Zuse Medal (2020) While specific details about his advising and grant activities aren't explicitly mentioned in the provided text, his extensive publication record with numerous co-authors suggests active supervision of doctoral students and research staff. His involvement in multiple collaborative research projects is evident from his publication history. At Ruhr University Bochum, Professor König leads a research group focused on civil engineering informatics, with particular emphasis on BIM, digital construction technologies, and their application across the building lifecycle. His team appears to work at the intersection of computer science and civil engineering, developing innovative solutions for construction process optimization, infrastructure management, and digital transformation of the AEC industry.

Yiorgos Makrisمشاهده پروفایل

استاد

• Hardware Security
• Trusted Systems
• Machine Learning in Semiconductor Manufacturing
• +۹ مورد دیگر

Yiorgos Makris is a Professor in the Department of Electrical and Computer Engineering at the Erik Jonsson School of Engineering & Computer Science, The University of Texas at Dallas, since July 2011. Previously, he was a faculty member at Yale University for over a decade. He holds a Ph.D. in Computer Engineering from the University of California, San Diego, and a Diploma in Computer Engineering from the University of Patras, Greece. Education: Ph.D. in Computer Engineering, University of California, San Diego (2001) M.S. in Computer Engineering, University of California, San Diego (1997) Diploma in Computer Engineering and Informatics, University of Patras, Greece (1995) Research Interests: Hardware Security and Trustworthiness Statistical Side-Channel Fingerprinting Machine Learning in Semiconductor Manufacturing Trusted and Reliable Integrated Circuits Hardware Trojans in Wireless Cryptographic ICs On-Die Learning and Emergent Technologies His work focuses on enhancing hardware security through statistical methods, machine learning, and formal verification, with applications in analog/RF ICs, post-production calibration, and secure IC design. Key Contributions: Co-Founder and Site-PI of NSF CHEST I/UCRC (Hardware and Embedded System Security and Trust) Leader of the Safety, Security, and Healthcare Thrust at TxACE (Texas Analog Center of Excellence) Director of the Trusted and RELiable Architectures (TRELA) Lab Grants and Funding: NSF, NIH, SRC, ARO, AFRL, AFWERX, DARPA, DOE, and industry partnerships with Boeing, Northrop Grumman, IBM, Intel, Qualcomm, etc. Recent grants include projects on DNA storage security, analog neural networks, and malicious hardware detection. Awards and Recognition: IEEE Fellow (2025) Best Paper Awards at DATE'13, VTS'15, DCAS'22 Best Hardware Demonstration Awards at HOST'16 and HOST'18 Erik Jonsson School Faculty Research Award (2020) Labs and Teams: TRELA Lab (Focus: Secure Hardware Design, Trusted Architectures) CHEST I/UCRC (Industry-University Collaboration)

• Human-Computer Interaction
• Extended Reality (XR)
• Mobile Health Sensing
• +۶ مورد دیگر

Karan Ahuja is the Lisa Wissner-Slivka & Benjamin Slivka Assistant Professor of Computer Science at Northwestern University, directing the Sensing, Perception, Interactive Computing & Experiences (SPICE) Lab. He earned his Ph.D. in Human-Computer Interaction from Carnegie Mellon University (2023) and a B.Tech. in Computer Science (2017). His research focuses on creating technologies that sense and understand human behavior, with applications in mobile health, extended reality, and natural user interfaces. Key projects include LemurDx for ADHD diagnosis, EITPose for wearable hand pose tracking, and MobilePoser for full-body pose estimation via consumer IMUs. Awards include Forbes 30 Under 30 (2024), MIT 35 Innovators Under 35 Asia Pacific, and ACM SIGCHI's Outstanding Dissertation Award. He has worked at Google, Apple, Microsoft Research, Meta Reality Labs, and IBM Research. His lab emphasizes real-world deployments, with technologies licensed and integrated into products used by millions. Prospective students are invited to join his lab at Northwestern via a dedicated application form. Research spans embedded systems, computer vision, and on-device ML, with a focus on impactful applications in healthcare and XR.

Rachit Dubeyمشاهده پروفایل

استادیار

• Climate Change
• Computational Modeling
• Machine Learning
• +۳ مورد دیگر

Rachit Dubey is an Assistant Professor in the Department of Communication at UCLA, affiliated with the College of Letters & Science. He holds a PhD in Computer Science from Princeton University, an M.S. in Education from UC Berkeley, and a BEng in Computer Science from Nanyang Technological University. His research bridges computational modeling, behavioral experiments, and policy design to address climate change challenges, focusing on human motivation and policy impact. Key research areas include using AI-generated visualizations to enhance climate communication, understanding cognitive underpinnings of climate inaction, and designing interventions to reduce polarization. His work has been featured in Nature Human Behavior , Nature Sustainability , and PNAS . Notable contributions include demonstrating that binary climate data visuals significantly amplify perceived urgency compared to gradual trends, and developing computational models of grief using reinforcement learning. He received the 2024 SfNC Dissertation Award for his doctoral work. Dr. Dubey collaborates closely with policymakers to bridge research and practice, and is recruiting PhD students in cognitive science, climate policy, and machine learning. His lab, the Computational Cognitive Policy Lab, emphasizes quantitative rigor and interdisciplinary collaboration.

Jianping Fuمشاهده پروفایل

استاد

• Stem Cell Bioengineering
• Developmental Bioengineering
• Mechanobiology
• +۴ مورد دیگر

Jianping Fu is a Professor in the Department of Mechanical Engineering at the University of Michigan , with joint appointments in Biomedical Engineering and Cell and Developmental Biology. His research integrates micro/nanoengineering , mechanobiology , and stem cell biology to model human development and disease. Education: PhD (MIT, 2007), BE (University of Science and Technology of China, 2000) His research interests focus on stem cell bioengineering , developmental bioengineering , and mechanobiology , particularly in modeling early post-implantation human development, neural tube formation, and pluripotent stem cell mechanoregulation. His work combines biomimetic culture systems with microfluidic gradients to study embryogenesis and organogenesis. Recent publications highlight advances in human embryo modeling (2024 Cell, Nature, Cell Stem Cell), neural tube patterning (2024 Nature), and mechanobiology of stem cells (2024 Nature Reviews Physics). These studies emphasize computational methods , single-cell analysis , and standardization of embryo models . Scientific honors include: Friedrich Wilhelm Bessel Research Award (2022) ISSCR Merit Award (2024) Fellow, American Institute for Medical and Biological Engineering (2019) NSF CAREER Award (2012) Life Member, World Association of Chinese Biomedical Engineers (2024) Dr. Fu mentors extensively, with 20+ alumni including PhD students and postdocs now in academic and industry positions. His lab has received $3M NIH funding for immunological diagnostics and MTRAC grants for translational research. Collaborations with institutions like Cincinnati Children's Hospital and Rice University enhance his interdisciplinary approach to regenerative medicine.

Tijay Chungمشاهده پروفایل

دانشیار

• Internet Security
• Internet Measurement
• Cybersecurity
• +۸ مورد دیگر

Tijay Chung is an Associate Professor at the College of Engineering , Virginia Tech , specializing in Internet Security and Internet Measurement . His work bridges theoretical and applied aspects of cybersecurity, focusing on secure communication protocols and infrastructure. Education Ph.D., Computer Science and Engineering, Seoul National University (2015) B.S., Computer Science and Engineering, Pohang University of Science and Technology (2009) Research Interests Chung's research centers on improving certificate revocation mechanisms, DNSSEC, and TLS security. He explores vulnerabilities in web encryption, develops decentralized cryptographic solutions, and analyzes internet governance protocols like BGP and RPKI. His work also extends to privacy in contact-tracing technologies and understanding content distribution dynamics in peer-to-peer systems. Recent publications highlight trends in : Enhancing TLS and DNSSEC operational security Decentralized cryptographic accumulators for revocation Longitudinal studies of PKI and certificate ecosystems Privacy guarantees in Bluetooth Low Energy (BLE) systems Advising No student names were explicitly listed in the provided materials.

Peter Newmanمشاهده پروفایل

استاد

• Visitor management in protected areas
• Soundscape/acoustic management in parks
• Transportation management and planning
• +۷ مورد دیگر

Peter Newman, Ph.D., serves as Dean of the Rubenstein School of Environment and Natural Resources at the University of Vermont since July 1, 2024, and holds the Suzie and Allen Martin Professor title. With a career spanning decades, he has conducted extensive research on visitor management in protected areas, soundscape management, and transportation planning, partnering with the National Park Service's Natural Sounds and Night Sky Division since 2012. Education Ph.D. in Natural Resources, University of Vermont M.S. in Forest Resource Management, SUNY College of Environmental Science and Forestry B.A. in Political Science, University of Rochester His research focuses on social carrying capacity decision-making in protected area management, with fieldwork across major U.S. parks including Denali, Grand Canyon, and Great Smokies. He has developed frameworks for acoustic management and Leave No Trace efficacy, contributing to sustainable outdoor recreation practices. Scientific Awards: Cooperative Ecosystem Studies Unit National Award (2012) George Wright Society National Award for Achievement in Social Sciences (2013) Throughout his career, Newman has led high-quality teaching at Penn State's Graduate Degree Program in Acoustics and mentored numerous students through research projects on wildlife approach norms, pandemic recreation shifts, and waste management strategies in national parks. He previously served as a Park Ranger in Yosemite and Backcountry Patrol member in Idaho.

Soteris Demetriouمشاهده پروفایل

مدرس ارشد

• Computer System Security
• Cyber-Physical Systems Security
• Machine Learning Security
• +۳ مورد دیگر

Soteris Demetriou is a Senior Lecturer of Computer Systems Security at Imperial College London's Department of Computing, within the Faculty of Engineering. He leads the Applications, Platforms, and Systems Security (APSS) Research Lab and directs the Academic Centre of Excellence in Cyber Security Research (ACE-CSR). His research focuses on securing mobile, IoT, and cyber-physical systems through techniques like explainable AI, reverse engineering, and trusted computing. Notable contributions include tools for privacy preservation in machine learning models, detection of LiDAR spoofing attacks, and securing Android's middleware. Education: PhD and MSc in Computer Science (University of Illinois at Urbana-Champaign), Diploma in Electrical and Computer Engineering (University of Patras). Research Interests: Mobile/IoT security, AI security, trusted computing, and vulnerability analysis. Key areas include privacy in generative models, adversarial attacks on autonomous systems, and large-scale distributed systems. Publications: Over 50 peer-reviewed papers in top venues like NDSS, CCS, and SOSP. Recent work addresses privacy in speech generation, LiDAR security for autonomous vehicles, and hyperscale serverless architectures at Meta. Awards: Distinguished Paper Award at NDSS 2018, Best Paper at SafeThings 2024, and multiple travel grants. Served on technical committees for PETS, CCS, and AutoSec. Grants & Collaborations: SPRITE+ grant for Bio-IoT security, collaboration with Meta on distributed systems, and leadership in ACE-CSR. Labs: APSS Lab focuses on systems and AI security, with interdisciplinary projects in healthcare and autonomous systems.

• Educational Psychology
• Teacher-Student Communication
• Student Motivation
• +۴ مورد دیگر

Elisa Santana Monagas is a Part-Time Substitute Professor at the Department of Psychology, Sociology and Social Work, Universidad de Las Palmas de Gran Canaria. She is affiliated with the Institute of Textual Analysis and Applications (IU IAText) and the ICP2 Project research group. Her research focuses on teacher-student communication styles, motivational messages in educational contexts, and their impacts on student motivation, academic performance, and psychological well-being. She employs sentiment analysis and longitudinal studies to explore reciprocal relations between teaching practices and student outcomes, particularly in secondary education settings. Her key research interests include developmental and educational psychology, with an emphasis on autonomy-supportive communication, relatedness in teacher-student relationships, and the role of emotional engagement in learning. She has contributed to understanding how classroom environments influence covitality, boredom reduction, and adaptive behaviors among adolescents. Notable contributions include analyzing reciprocal dynamics between motivational appeals and academic outcomes, gamification strategies in higher education, and the validation of assessment tools for teacher feedback. Her work bridges theoretical frameworks like self-determination theory with methodological innovations in sentiment analysis and needs-supplies fit processes. Elisa collaborates with interdisciplinary teams in the GIR IATEXT group, focusing on didactics and learning in specific educational contexts. She actively publishes in peer-reviewed journals and presents at conferences on topics such as teacher enthusiasm, empathetic communication, and the design of pedagogical interventions to enhance student well-being.

Pradip Sharmaمشاهده پروفایل

دانشیار

• Cybersecurity
• Artificial Intelligence
• Blockchain
• +۵ مورد دیگر

Dr. Pradip Sharma is an Associate Professor of Cybersecurity & AI at the University of Aberdeen, UK, within the School of Natural and Computing Sciences, Department of Computing Science. He is a globally recognized academic and researcher with expertise in Cybersecurity, Artificial Intelligence, Blockchain, and Edge Computing. His research interests span multiple domains including Cybersecurity, Blockchain, Edge Computing, Software-defined Networking, and IoT Security. Dr. Sharma's work focuses on developing innovative solutions for security challenges in emerging technologies, with particular emphasis on privacy-aware AI systems, secure data sharing frameworks, and intelligent network security mechanisms. His interdisciplinary approach bridges theoretical foundations with practical implementations across healthcare, smart mobility, and consumer electronics domains. Senior Fellowship Advance HE (SFHEA) IEEE Senior Member (SMIEEE) Dr. Sharma actively supervises doctoral researchers and is accepting new PhD students in Computing Science. His funded research portfolio exceeds £1M from sources including EPSRC, Innovate UK, and international agencies. Current projects include 'Secure, Privacy-aware, and Trusted Data Share in Smart Mobility' (EPSRC, £200K), 'ZECURE Data Exchange Platform' (Innovate UK, £236K), and 'Quantum-resistant Cybersecurity' (Royal Embassy of Saudi Arabia, £73K). He also serves as an editor for leading journals and is a regular keynote speaker at international conferences.

Kok Sheik Wongمشاهده پروفایل

استاد

• Multimedia Signal Processing
• Cybersecurity
• Data Hiding
• +۹ مورد دیگر

Kok Sheik Wong is a Professor and Deputy Head (Research) at the School of Information Technology, Monash University Malaysia. He holds a Doctor of Engineering from Shinshu University, Japan, and Master’s and Bachelor’s degrees in Computer Science and Mathematics from Utah State University, USA. His academic leadership and research excellence are central to his role at Monash. B.S. Computational Mathematics, Utah State University (2002) M.S. Computer Science, Utah State University (2006) M.S. Mathematics, Utah State University (2004) Doctor of Engineering, Shinshu University, Japan (2009) His research focuses on multimedia signal processing and cybersecurity , particularly in data hiding , reversible data hiding , coverless steganography , and multimedia encryption . He is also expanding into digital health , applying AI to mental health in workplace environments. His work aligns with UN SDGs, particularly in health and education. The recent publication trends show a strong emphasis on reversible data hiding , image watermarking , and AI-driven health applications . His interdisciplinary work spans computer science, engineering, and public health, with increasing focus on real-world impact through EU and national grants. He has received several honors, including: Academic of Science Malaysia - Young Scientist Network (2020) Best Paper Award, IWDW 2019 ITEX 2021 Gold Medal for BAITRADAR School of IT Excellence in Research Award (2022) Dr. Wong actively supervises PhD students and leads major research projects, including the EU-funded WAge project. He has served as an associate editor for IEEE Signal Processing Letters and the Journal of Information Security and Applications, and is a member of IEEE IFS and APSIPA technical committees. His grants reflect strong external collaboration and funding in cybersecurity and digital health. He is involved in key research labs and teams through Monash University and international consortia, particularly in the areas of multimedia security and digital health innovation. His leadership in the WAge project connects him with European and Asia-Pacific research networks, enhancing global impact.

Ditte Hededam Welnerمشاهده پروفایل

پژوهشگر

• Enzyme Engineering
• Structural Biology
• Biocatalysis
• +۴ مورد دیگر

Ditte Hededam Welner is a Senior Researcher & Group Leader at the Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark. Her research focuses on Enzyme Engineering and Structural Biology, particularly the development of enzyme biocatalysts for sustainable industrial production of natural products like aromas, dyes, and pharmaceuticals. She leads efforts to replace petroleum-based chemical synthesis with eco-friendly bio-based processes, emphasizing glycosyltransferase (GT) engineering to enhance substrate specificity, efficiency, and stability. Education: Biochemistry, University of Copenhagen (2000–2011). Research Interests: Glycosylation mechanisms, high-throughput enzyme discovery/evolution, structural biology techniques (X-ray crystallography, NMR), and biocatalysis applications in sustainable chemistry. Her work contributes to UN SDG 9 (Industry, Innovation, and Infrastructure) and SDG 12 (Responsible Consumption and Production). Recent publications highlight advancements in alginate degradation mechanisms, sucrose synthase engineering, and glycosyltransferase applications in biocatalytic routes for indigo/indican production. She supervises multiple PhD projects on enzyme optimization, machine learning for enzyme engineering, and sustainable bioprocessing. Professional Activities: Peer review for journals like Nature Catalysis and Metabolic Engineering , conference organization, and editorial contributions. Active in promoting open-access science and sustainable biotechnology. Labs/Teams: Leads the Enzyme Engineering and Structural Biology group at DTU, collaborating with industry and academic partners globally to advance biocatalytic solutions for environmental challenges.

Sageev Ooreمشاهده پروفایل

دانشیار

• Machine Learning
• Deep Learning
• Computational Creativity
• +۷ مورد دیگر

Sageev Oore is an Associate Professor in the Faculty of Computer Science at Dalhousie University, a Research Faculty Member at the Vector Institute for Artificial Intelligence, and a Canada CIFAR AI Chair. He previously served as Associate Professor and Chairperson in the Department of Mathematics & Computer Science at Saint Mary’s University and spent 2016–2018 as a Visiting Research Scientist at Google Brain, working on the Magenta team. Faculty of Computer Science, Dalhousie University Vector Institute for Artificial Intelligence Google Brain (2016–2018) Saint Mary’s University (former) Sageev Oore's research centers on machine learning and deep learning, with a strong focus on creative applications in music, audio processing, and computational creativity. His work bridges the gap between technical innovation and artistic expression, developing systems that generate and interact with music using neural networks. He has made significant contributions to generative models for music, including the development of PerformanceRNN and other interactive systems. His recent publications highlight advancements in out-of-distribution detection (Gram-OOD), interactive music generation, and deep learning tools for creative domains. These works reflect a consistent trend toward building intelligent, user-centered systems that enhance human creativity through AI. Canada CIFAR AI Chair (2018) Best Paper Award, CVPR ISIC Workshop (2020) Outstanding Demonstration Award (Runner-up), NeurIPS (2020) Best Demonstration Award, AAAI (2017) Best Demonstration Award, NeurIPS (2016) Sageev Oore actively mentors graduate and undergraduate students, with well-funded research positions available for motivated candidates. His collaborations span academia and industry, including major projects with Google Brain and interdisciplinary work with artists. He leads research initiatives in AI-driven creativity and is deeply involved in the Canadian AI ecosystem through the Vector Institute and CIFAR. His work is supported by significant grants and affiliations, including the Canada CIFAR AI Chair program, which funds his research in foundational AI and its applications. He is also part of the Magenta project at Google, contributing to open-source tools for art and music generation. Sageev Oore leads a research group focused on deep learning for creative applications, with projects in music generation, audio synthesis, and human-AI interaction. His lab collaborates with musicians, artists, and healthcare researchers, fostering a transdisciplinary approach to AI innovation.