جست‌وجوی استاد و پژوهشگر

Thilina Halloluwaمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Educational Technology
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Thilina Halloluwa is a Teaching Focused Lecturer in the Department of Human-Centred Computing at The University of Queensland (UQ). He holds a PhD in Human-Computer Interaction from Queensland University of Technology (2019) and a Computer Science undergraduate degree from the Sri Lanka Institute of Information Technology. With over 15 years of academic and industry experience, his research emphasizes real-world impact in education technology, financial inclusion, smart agriculture, and HCI. Educational Background: PhD in Human-Computer Interaction, Queensland University of Technology (2019) Bachelor of Computer Science, Sri Lanka Institute of Information Technology Research Interests: Education for All: Leveraging technology to enhance collaborative learning and social experiences in education. Human Money Interaction: Designing ethical AI solutions for financial services, particularly for underserved communities. Smart Agro: Developing AI-driven tools for crop disease detection, yield optimization, and precision agriculture. Software Project Estimation: Improving effort estimation accuracy through explainable AI (Metrix project). Key Contributions: Developed UrbanAgro (tomato disease detection) and BellCrop (bell pepper disease datasets). Pioneered Dhana Labha , a financial management tool for rural Sri Lankan communities. Advanced online exam proctoring systems for low-resource settings. Previous Roles: Lecturer at University of Sydney (2023) Senior Lecturer at University of Colombo (2013–2023) Lab/Team Affiliations: Smart Agro Project: AI-driven agricultural solutions Metrix Initiative: Software project estimation frameworks

Eshed Ohn-Barمشاهده پروفایل

استادیار

• Machine Learning
• Autonomous Systems
• Computer Vision
• +۴ مورد دیگر

Eshed Ohn-Bar is an Assistant Professor in the Department of Electrical & Computer Engineering at Boston University. He leads the Human-to-Everything (H2X) Lab, focused on developing intelligent systems for assistive and autonomous technologies. His research bridges machine perception, learning, and human-computer interaction, with applications in autonomous driving and accessibility for visually impaired individuals. Educated at UCLA (BS in Mathematics, 2010; MEd, 2011) and UCSD (PhD in Electrical Engineering, 2017), he holds a Humboldt Fellowship and has received the IEEE ITS Society Best PhD Dissertation Award (2017) and the 2025 BU Early Career Excellence in Research Award. His work emphasizes robust autonomy, real-time assistance, and inclusive design, collaborating with industry partners like Motional and receiving NSF grants (e.g., IIS-2152077). Research interests include autonomous systems, computer vision, and assistive technologies. Recent trends in publications highlight advancements in decision-making frameworks, neural volumetric models, and scalable learning for navigation. His lab’s projects address challenges in accessibility, such as blind motion generation and inclusive autonomous vehicle design. Awards: Humboldt Fellowship, IEEE ITS Best Dissertation, BU Early Career Award Grants: NSF IIS-2152077 Labs/Teams: H2X Lab, collaborating on projects with industry and academic partners

Adria Lawrenceمشاهده پروفایل

دانشیار

• Comparative politics
• Middle Eastern and North African politics
• Colonialism
• +۴ مورد دیگر

Adria Lawrence is the Aronson Associate Professor of International Studies and Political Science at Johns Hopkins University, holding a joint appointment between the Paul H. Nitze School of Advanced International Studies (SAIS) and the Department of Political Science at the Krieger School of Arts & Sciences. Her research focuses on Middle Eastern and North African politics, colonialism, nationalism, and conflict dynamics. She earned her PhD from the University of Chicago and a BA from Vassar College. Her groundbreaking book, *Imperial Rule and the Politics of Nationalism: Anti-Colonial Protest in the French Empire* (2013), examines post-WWII anti-colonial movements and has received prestigious awards including the J. David Greenstone Book Prize and the L. Carl Brown Book Prize. Current research explores colonial resistance and contemporary Arab world dynamics. Teaching interests include colonial rule, state formation, and qualitative research methods. She advises on topics such as Moroccan political cleavages, autocracy, and social movements in North Africa. Office hours are held via Zoom or in-person at 270 Mergenthaler Hall. Affiliations: Krieger School of Arts & Sciences, SAIS (Program Chair for International Studies Program) Research Sites: Morocco, Tunisia, France (archival work)

Guy-Vincent Jourdanمشاهده پروفایل

استاد

• Software Security
• Cybersecurity
• Distributed Systems
• +۶ مورد دیگر

Professor Guy-Vincent Jourdan is affiliated with the School of Electrical Engineering and Computer Science at the University of Ottawa. He holds a Ph.D. from Université de Rennes/INRIA (France, 1995) focusing on distributed systems analysis. Prior to academia, he served as CTO and CEO of Decision Academic Graphics, an Ottawa-based firm. His research interests span software security, cybersecurity (including cybercrime prevention), distributed systems modeling, formal methods, mobile applications, and rich internet applications. Specific technical emphases include phishing detection systems, blockchain fraud analysis, and adversarial machine learning. Professor Jourdan has pioneered tools like D-ForenRIA for reconstructing user interactions in Rich Internet Applications and contributed to cybersecurity frameworks such as HEART for log anomaly detection. His work integrates machine learning techniques with domain-specific challenges in network security and software verification. His publications (2023-2025) reflect advancements in AI-driven vulnerability analysis, blockchain fraud detection, and automated phishing detection systems. Notable projects include SV-TrustEval-C for source code vulnerability analysis and Intellitweet for social media threat detection. While no scientific awards are explicitly listed, his prolific publication record and industry-academia transition highlight sustained contributions to computer science and cybersecurity domains.

Christopher Honeyمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Cognitive Neuroscience
• Neural Dynamics
• +۳ مورد دیگر

Christopher Honey is an Associate Professor in the Department of Psychological & Brain Sciences at Johns Hopkins University, affiliated with the Krieger School of Arts & Sciences. His research focuses on computational cognitive neuroscience, exploring how the brain processes sequential information such as language and memory. He holds a PhD from Indiana University and has held positions at Princeton University and the University of Toronto before joining JHU in 2016. Education: PhD in Psychological and Brain Sciences, Indiana University Postdoctoral Fellowship at Princeton University with Uri Hasson Bachelor’s in Applied Mathematics and English Literature, University of Cape Town Research Interests: Neural dynamics of memory and perception Temporal processing in the brain Cognitive modeling using computational methods Neuroimaging data standards (e.g., BIDS) Publications highlight his work on brain state fluctuations, neuroimaging data structures, and memory enhancement. His lab develops tools for analyzing fMRI and EEG data, emphasizing real-world applications like smartphone-based cognitive interventions. Lab and Collaborations: Active projects on narrative processing and hippocampal replay Development of open-source neuroscience tools like iELVis Focus on translational research for aging populations

Konstantinos Pelechrinisمشاهده پروفایل

دانشیار

• Network Science
• Urban Informatics
• Sports Analytics
• +۳ مورد دیگر

Konstantinos Pelechrinis is an Associate Professor in the Department of Informatics and Networked Systems at the University of Pittsburgh's School of Computing and Information. He holds a Ph.D. in Computer Science from the University of California, Riverside. His research focuses on network science, urban informatics, and sports analytics. He has been recognized with the Army Research Office Young Investigator Award for his contributions. Education: Ph.D. in Computer Science, University of California, Riverside Research Interests: Urban mobility patterns and infrastructure analysis Sports performance quantification and strategy Data-driven decision-making in transportation systems Network science applications in social and urban systems His recent work explores topics such as implicit biases in sports refereeing, anomaly detection in NFT markets, and optimizing bike-sharing systems using predictive models. He also investigates urban infrastructure resilience through projects like the Epui platform for experimental urban informatics. Awards: Army Research Office Young Investigator Award He contributes to academic outreach through courses like TELCOM2125 (Network Science and Analysis) and collaborates on initiatives like the Healthy Ride Pittsburgh bike-sharing study. His lab focuses on bridging theoretical models with real-world urban and sports datasets.

Stephen L. Bearneمشاهده پروفایل

استاد

• Enzymology
• Protein Engineering
• Biochemical Recognition
• +۳ مورد دیگر

Stephen L. Bearne is a Professor in the Departments of Biochemistry and Molecular Biology and Chemistry at Dalhousie University, affiliated with the Faculty of Medicine. He has been a department member since 1996 and served as Department Head from 2012 to 2022. His research focuses on enzymology, enzyme catalysis, and protein engineering, with a particular emphasis on transition state analogues, enzyme inhibition mechanisms, and the chemical basis of disease-associated enzymes. His work integrates organic synthesis, biophysical techniques, and computational modeling to explore enzyme function and design inhibitors for therapeutic applications. Dr. Bearne holds a PhD from the University of Toronto and an MDCM from McGill University. His lab is part of the Protein Assembly Research Team and the BioActives CREATE Training Program. Current research themes include understanding carbon acid substrate catalysis in mandelate racemase, developing inhibitors for CTP synthase and racemases involved in diseases like cancer and neglected tropical infections, and proteomic tools for enzymatic activity profiling. His research leverages advanced techniques such as site-directed mutagenesis, isothermal titration calorimetry, NMR spectroscopy, and macroion mobility spectrometry. His lab supports equity, diversity, and inclusivity and has been funded by NSERC, CIHR, and other agencies. Recent publications highlight advancements in enzyme inhibition strategies, allosteric regulation mechanisms, and enzyme filamentation roles in metabolic pathways.

Christoforos Mavrogiannisمشاهده پروفایل

استادیار

• Human-robot interaction
• shared autonomy
• multiagent and multirobot systems
• +۴ مورد دیگر

Christoforos Mavrogiannis is an Assistant Professor of Robotics at the University of Michigan, leading the Fluent Robotics Lab within the Department of Robotics. He holds a Ph.D. and M.S. from Cornell University and a Diploma in Mechanical Engineering from the National Technical University of Athens. His research focuses on enabling robots to seamlessly integrate into dynamic, unstructured environments through advancements in human-robot interaction, shared autonomy, multiagent systems, and navigation algorithms. Education: Ph.D. and M.S., Cornell University Diploma in Mechanical Engineering, National Technical University of Athens Research Interests: His work spans human-robot interaction , shared autonomy , and multiagent systems . He develops algorithms for navigating dynamic environments , decentralized control , and behavior prediction , with applications in robotic manipulation and collaborative transport . Recent projects include the HOUND off-road robot and pixel-art generation with mobile robots. Awards: Best paper award at the RSS Social Navigation Workshop (2024) Grants & Advising: He advises the Fluent Robotics Lab and contributes to organizing conferences like ICRA and HRI. His lab focuses on human-centered robotics and socially competent navigation . Labs & Teams: Fluent Robotics Lab at the University of Michigan, collaborating on projects like the HOUND platform and electrostatic brake systems for manipulation.

Jason J. Corsoمشاهده پروفایل

استاد

• Computer Vision
• Robotics
• Artificial Intelligence
• +۶ مورد دیگر

Dr. Jason J. Corso is a Professor in the Department of Electrical Engineering and Computer Science at the University of Michigan . His research focuses on high-level computer vision , video understanding , and the intersection with human language and robotics . His work emphasizes Bayesian approaches to segmentation and recognition, with applications spanning biomedicine and recreational video analysis . He is particularly known for contributions to video object segmentation , activity recognition , and vision-language frameworks . Scientific awards include: NSF CAREER award (2009) ARO Young Investigator award (2010) Google Faculty Research Award (2015) DARPA CSSG grant He also leads major projects like YouCook2 dataset , Video2Text.net , and LIBSVX framework.

Oliver Crönertzمشاهده پروفایل

استاد

• Digital Transformation
• Business Analytics
• Industry 4.0 Technology Potentials
• +۴ مورد دیگر

Prof. Dr. Oliver Crönertz serves as Dean and Professor of Business Administration and IT-Supported Business Processes at the Faculty of Digital Transformation , HTWK Leipzig. His work bridges digital transformation with business management, focusing on interdisciplinary project management, digital business models, and sustainability. Current roles: Dean, supervising professor for HTWK Robots/nao Team Research areas: Digital Transformation, Business Analytics, Industry 4.0, Stoffstrommanagement Research Trends : Recent publications emphasize digital solutions for environmental management, business process optimization, and smart urban logistics. His work connects Industry 4.0 with financial sustainability and societal impacts of digitalization. Projects : Leads Mittelstand-Digital Zentrum Leipzig-Halle, involved in EXIST-Potentiale, Future Parking, and FAssMII (Feedback-based E-Assessment in STEM).

Ralph Bockمشاهده پروفایل

استاد

• Plant Molecular Biology
• Chloroplast Biology
• Organelle Biotechnology
• +۷ مورد دیگر

Prof. Dr. Ralph Bock serves as Director of Department 3: Organelle Biology, Biotechnology and Molecular Ecophysiology at the Max Planck Institute of Molecular Plant Physiology in Potsdam, Germany, where he also leads the Organelle Biology and Biotechnology research group. Previously, he held positions as C4 Professor for Plant Biochemistry and Biotechnology at the University of Münster (2001-2004) and Group Leader at the Institute of Biology III, University of Freiburg (1996-2001). His academic credentials include: Habilitation: University of Freiburg, 1999 Doctorate: University of Freiburg, 1996 Diploma: University of Halle, 1993 Prof. Bock's research focuses on plant molecular biology with particular emphasis on chloroplast biology, organelle biotechnology, and molecular ecophysiology. His work spans genetic engineering of plastids, photosynthesis research, plant biotechnology applications, and understanding organelle-nucleus communication. He has made significant contributions to developing chloroplast transformation systems and applying them to molecular farming, metabolic engineering, and understanding fundamental processes in plant cell biology. His research has important implications for sustainable agriculture, bioenergy, and pharmaceutical production, particularly through the development of plant-based systems for producing vaccines and therapeutic proteins. Analysis of Prof. Bock's recent publications (2023-2025) reveals a strong focus on chloroplast biology, genetic engineering, and molecular farming applications. His work spans fundamental research on organelle genetics, photosynthesis, and stress responses, as well as applied research on using plant and algal systems for biopharmaceutical production. A notable trend is the increasing use of advanced genetic engineering techniques, including CRISPR-based approaches, to manipulate organelle genomes. His research also shows growing interest in algal systems as alternative expression platforms for molecular farming, particularly red algae like Porphyridium for producing viral antigens and glycoproteins.

Pavan Turagaمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Computer Vision
• +۹ مورد دیگر

Pavan Turaga is a Professor and Founding Director of The GAME School at Arizona State University (ASU), with a joint appointment in the School of Electrical, Computer and Energy Engineering (ECEE). They lead transdisciplinary research and education initiatives spanning gaming, esports, AI-enabled media creation, computer vision, and geometric modeling. Ph.D., Electrical Engineering, University of Maryland (2009) B.Tech., Electronics and Communication Engineering, IIT Guwahati (2004) Research focuses on integrating geometry and topology with machine learning , enabling advancements in: Computer vision for human activity recognition Generative AI for immersive media Health analytics and wearable rehabilitation systems AI ethics and pandemic prediction Key publications span CVPR (2023 spotlight paper PolyINR ), DLGC workshop (2023 best paper), and ICML (2019 work on GAN priors). Recent work explores LMMs , 3D human modeling , and AI for pandemic preparedness . Scientific accolades include: ASU Founders' Day Research Excellence (2025) NSF CAREER award (2015) CVPR 2023 Spotlight paper 2024 X-Prize (Rainforest Challenge) Directed research for students like Rajhans Singh and Ankita Shukla, securing grants from NSF , DARPA , and industry partners (Adobe, Google ATAP). Founded the Geometric Media Lab , emphasizing interdisciplinary collaborations with mathematicians, health scientists, and media artists.

Parvin Mousaviمشاهده پروفایل

استاد

• Artificial Intelligence
• Biomedical Computing
• Medical Informatics
• +۱۲ مورد دیگر

Parvin Mousavi is a Professor at the School of Computing, Queen's University, and holds prestigious chairs including the Canada CIFAR AI Chair and Canada Research Chair in Medical Informatics. She directs the Medical Informatics (Med-i) Laboratory, focusing on computational approaches for biological process prediction and explanation. Education: Ph.D., University of British Columbia (2001) Research interests span machine learning in computer-assisted diagnosis, ultrasound imaging, medical image computing, bioinformatics, systems biology, and quantitative modeling of gene regulatory networks. The lab emphasizes interdisciplinary collaboration with medical professionals and institutions. Affiliations & Collaborations: Kingston General Hospital, Human Mobility Research Centre (HMRC), and University of California, San Francisco. The Med-i Laboratory is equipped with advanced parallel computing servers, clusters, and imaging devices. Awards: Canada CIFAR AI Chair Canada Research Chair in Medical Informatics Contact: Office: Goodwin 720 | Phone: 613 533-6070

Satadru Deyمشاهده پروفایل

استادیار

• Battery Systems
• Transportation Systems
• Cyber-Physical Security
• +۳ مورد دیگر

Satadru Dey serves as an Assistant Professor in the Department of Mechanical Engineering at Penn State University, where he leads research at the intersection of energy infrastructure and smart city systems. His work spans battery technology, transportation networks, and cyber-physical security, with institutional affiliations including the Integrated Energy Systems and Equitable Communities research initiatives. His primary research focuses include battery safety and security (covering fault diagnosis, thermal management, and fast charging protocols), second-life applications for batteries/supercapacitors, secure autonomous transportation systems, and socio-technical traffic modeling. He employs advanced control theory, machine learning, and physics-based modeling to address critical challenges in energy storage and urban mobility infrastructure. Analysis of his 15 most recent publications (2022-2024) reveals a consistent trajectory toward cyber-physical security in battery and transportation systems, with 60% of works addressing battery fault detection and 40% focused on transportation security. His methodologies increasingly integrate partial differential equations, reinforcement learning, and socio-technical data fusion across electrical engineering, mechanical engineering, and computer science domains. Scientific Awards: No awards or fellowships were documented in the source material. Advising and grant activities are not explicitly detailed in the provided information, though his editorial leadership for the 2024 Special Issue on Energy in Smart Infrastructures indicates academic service responsibilities. The absence of student listings suggests either early-career status or non-publication of advising relationships. Dr. Dey directs a specialized research laboratory focused on integrated energy systems within smart city frameworks, with documented projects spanning battery management, transportation security, and equitable infrastructure development. His lab maintains active collaborations across mechanical engineering, electrical systems, and urban planning disciplines as evidenced by multi-departmental publication venues.

• Social Anthropology
• Interpreting and Interpreter-Mediated Communication
• Social Work
• +۱۲ مورد دیگر

Hilde Fiva Buzungu is an Associate Professor in the Department of Social Work, Child Welfare and Social Policy at Oslo Metropolitan University, Faculty of Social Sciences. Her work bridges social anthropology, applied linguistics, and public policy, with a strong focus on language and communication in welfare services for minority language speakers. Her research interests include: Language discordance and interpreter-mediated communication in social work and healthcare Multilingualism and migration Professional practices in child welfare and public administration Interpreter training and quality assurance Human rights and minority inclusion Intersectionality in social services Buzungu's recent publications (2020–2024) reveal a consistent focus on the challenges of language access in public institutions such as NAV, child welfare, and hospitals. Her work critically examines how language barriers affect service delivery, professional decision-making, and equity. She investigates systemic issues in interpreter availability, quality, and integration, particularly during crises like the Ukrainian refugee influx. Her research combines ethnographic methods with policy analysis, emphasizing the 'space between' where meaning is negotiated across languages and cultures. She has contributed extensively to both academic and public discourse, publishing in journals like Nordic Social Work Research and Kritisk juss , as well as producing key reports for governmental bodies like Integrerings- og mangfoldsdirektoratet and Oslo University Hospital. Her book Language Discordant Social Work in a Multilingual World: The Space Between (2023) synthesizes her core themes. Buzungu actively disseminates her findings through public lectures, media engagement, and policy forums, advocating for improved language services in the Norwegian public sector. She is affiliated with the research group on Professional Qualification and Professional Practices in Social Work and Child Protection.