جست‌وجوی استاد و پژوهشگر

Iman Nematollahiمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Robot Learning
• Reinforcement Learning
• +۵ مورد دیگر

Iman Nematollahi is a PostDoc in Robot Learning at the University of Freiburg under Prof. Dr. Abhinav Valada, having completed his PhD under Prof. Dr. Wolfram Burgard. He holds a MSc in Embedded Systems from the University of Freiburg and a BSc in Electrical Engineering from Shahid Beheshti University. His research focuses on robot learning, world models, and reinforcement learning, particularly in enabling robots to understand physics through world models and adapt skills in unstructured environments. Education: PostDoc in Robot Learning, University of Freiburg (2025–Present) PhD in Robot Learning, University of Freiburg (2019–2024) MSc in Embedded Systems, University of Freiburg (2015–2018) BSc in Electrical Engineering, Shahid Beheshti University (2010–2015) Research Interests: Robot manipulation, world models, reinforcement learning, computer vision, and self-supervised learning. His work emphasizes intuitive physics understanding, skill generalization, and sample-efficient policy improvement. Key Articles: Recent work includes LUMOS (language-conditioned imitation learning), Bayesian optimization for policy refinement, and 3D video prediction (T3VIP). These contributions bridge theory and real-world robotic applications, emphasizing long-horizon tasks and cross-environment adaptation. Awards & Grants: No explicit awards mentioned. His research has been supported through projects like OML (Organic Machine Learning). Teaching: Taught Deep Learning Lab (2020–2022) and Introduction to Mobile Robotics (2019).

Fabio Ruggieroمشاهده پروفایل

دانشیار

• Robotics
• Control Systems
• Aerial Manipulation
• +۵ مورد دیگر

Fabio Ruggiero serves as Associate Professor of Control and Robotics at the University of Naples Federico II, where he leads the Dynamic Manipulation and Legged Robotics (DynLeg) research topic within the PRISMA Lab. He holds significant leadership positions including Chair of the IEEE Italy RAS Chapter and Associate Editor for the IEEE Transactions on Robotics. His research has secured over 1.2M EUR in European/Italian project funding, most recently for the COWBOT project. Professor Ruggiero's research spans multiple cutting-edge robotics domains with particular expertise in model-based control design for robotic systems. His work focuses on dexterous manipulation techniques (both prehensile and nonprehensile), aerial robotics including UAV manipulation and failure recovery, and legged locomotion for both biped and quadruped platforms. His research integrates advanced control theory with practical implementation challenges in dynamic environments. His publication record demonstrates consistent contributions across robotics subfields, with recent work emphasizing aerial manipulation capabilities, dynamic grasping techniques, and legged locomotion control. The research shows progression from fundamental control algorithms toward increasingly complex real-world applications, particularly in unstructured environments requiring adaptive behaviors. As an active member of the robotics community, Professor Ruggiero contributes through editorial work with IEEE Transactions on Robotics and leadership of the IEEE Italy RAS Chapter, helping to shape the direction of robotics research both nationally and internationally. His teaching responsibilities include thesis supervision across multiple robotics domains, with students working on projects related to UAV control, manipulation techniques, and legged locomotion. The research group maintains strong connections with international collaborators and industry partners, facilitating technology transfer and practical applications of theoretical advances. The PRISMA Lab, where Professor Ruggiero conducts his research, serves as a hub for robotics innovation in Southern Italy, featuring specialized facilities for aerial robotics, manipulation research, and legged locomotion studies. The lab supports multiple research lines that intersect through shared control methodologies while addressing domain-specific challenges.

Angel Santamaria Navarroمشاهده پروفایل

دانشیار

• Mobile Robotics
• Autonomous Systems
• Human-Robot Interaction
• +۳ مورد دیگر

Angel Santamaria-Navarro serves as Associate Professor at Polytechnic University of Catalonia (UPC) and Robotics Researcher at the Institute of Robotics and Industrial Informatics (IRI), a CSIC-UPC joint center in Barcelona. His work bridges academic research and real-world deployment in mobile robotics, with current leadership in European TRIFFID (autonomous first-responder systems) and national LENA (lifelong navigation learning) projects spanning urban logistics and emergency response applications. His research centers on Mobile Robotics and Autonomous Systems with emphasis on human-robot collaboration in unstructured environments . Key focus areas include robot navigation in crowded urban settings, manipulation of deformable objects, and deployment of delivery systems like the LogiSmile project piloted across European cities. His work uniquely integrates machine learning with field robotics to solve practical challenges in last-mile logistics and disaster response. Recent publications (2022-2025) reveal a concentrated shift toward real-world robotic deployment , particularly in emergency response (TRIFFID) and urban logistics. Dominant themes include communication-aware multi-robot coordination, probabilistic perception for dynamic environments, and human acceptance studies – reflecting his commitment to transitioning lab innovations to operational field systems through Horizon Europe and national projects. Key recognitions include: 1st place at DARPA Subterranean Challenge, urban circuit (2020) 2nd place at DARPA Subterranean Challenge, tunnel circuit (2019) Beatriu de Pinós research fellowship (2021) Georges Giralt PhD award finalist (2018) R3 accreditation as consolidated researcher (2023) He actively mentors next-generation researchers as supervisor of PhD candidate Hafsa Taher (deep learning for autonomous vehicles) and Master's student Joan Tur Ruiz (object pose tracking). His research portfolio includes €5M+ in competitive funding spanning Horizon Europe projects (TRIFFID, TORNADO), national initiatives (LENA, AUDEL), and industry partnerships like the Vaive Logistics spin-off co-founded in 2023. As core member of UPC's robotics team, he contributed to the NeBula framework that won DARPA's Subterranean Challenge and currently leads development of TRIFFID's autonomous first-responder systems. His work with the LogiSmile consortium demonstrates practical urban deployment of delivery robots across Barcelona, Lisbon, and Milan, while the SOCIAL PIA project pioneers cybernetic avatars for cooperative human-robot teams.

Nicolai Fabianمشاهده پروفایل

پژوهشگر

• Digital Transformation
• Knowledge Engineering
• Artificial Intelligence
• +۴ مورد دیگر

Nicolai Fabian is a researcher at the Faculty of Economics and Business, University of Groningen, specializing in Digital Transformation and its intersections with organizational strategy, ethics, and technology. His work addresses critical challenges in digital governance, artificial intelligence applications, and business model innovation for SMEs. Key Research Areas: Digital Transformation, Knowledge Engineering, AI Ethics, and Digital Governance. Recent Collaborations: Frequent co-authorship with scholars like Dong, Broekhuizen, and Verhoef on topics spanning cybersecurity, digital trace data, and platform dynamics. Research Trends (2022–2025): Focuses on the dual-edged impacts of digitalization, from economic value creation in SMEs to dystopian risks in AI and cybersecurity. Explores how organizations adapt to digital disruption through strategic learning, ethical frameworks, and data-driven governance. Network & Visibility: Active in international collaborations and cited across multidisciplinary domains, reflecting his engagement with global research communities.

Mario Harperمشاهده پروفایل

استادیار

• Machine Learning
• Data Science
• Robotics
• +۲ مورد دیگر

Mario Harper is an Assistant Professor in the Department of Computer Science at Utah State University. His research emphasizes Machine Learning, Data Science, Robotics, and their intersections with Finance and Artificial Intelligence. He specializes in autonomous systems, energy-efficient robotics, and AI-driven solutions for transportation and urban sustainability. His work includes developing tools like simulators for electric vehicle systems and stealth-centric navigation algorithms inspired by biological systems. Key research areas include multi-robot coordination, reinforcement learning applications in robotics, and algorithmic approaches to environmental and economic challenges. He has contributed to projects like POSEIDON-SAT for satellite-based fishing vessel detection and electrified transportation equity analysis in urban settings. His publications span topics from trajectory planning in legged robots to AI modeling for economic systems. Beyond research, he designs interactive visualization tools to support policy decisions on sustainable transportation infrastructure. No scientific awards are explicitly listed in the provided information. Mario Harper’s advising and grants focus on robotics, energy systems, and AI applications, though specific student advisees or grant details are not detailed here. He collaborates on projects involving lab tools such as the Unknown Building Exploration Simulator (UBES) and Stealth Centric Autonomous Robot Simulator (SCARS), advancing robotic autonomy in unstructured environments.

Babatunde Anifowoseمشاهده پروفایل

استادیار

• Environmental Impact Assessment
• Oil Spill Modeling
• Water Pollution Management
• +۶ مورد دیگر

Dr Babatunde Anifowose is an Assistant Professor at the CEES School of The Environment. He holds a PhD in Environmental Science from the University of Birmingham (2011) and advanced qualifications in Geography and Data Processing. His expertise spans Environmental Impact Assessment (EIA), oil spill modeling, water pollution management, and the application of AI/ML in environmental decision-making. Education PhD in Environmental Science, University of Birmingham (2011) MSc in Geography (Transport & Remote Sensing), University of Lagos (2007) BSc in Environmental Science, University of Lagos (2005) Diploma in Data Processing (Computer Science), University of Lagos (1997) Research Interests Anifowose focuses on sustainable natural resource exploitation, decarbonization, and EIA innovations using AI/ML. His work addresses oil spill dynamics in fluvial-marine transition zones, EIA quality assessment, and socio-environmental equity in development projects. He also explores climate change mitigation strategies in energy systems. Awards & Recognition 2020 Sustainability and Stewardship Award (Oil & Gas Industry) EPSRC Peer Review College Member (2020–present) SPE Sustainable Development Technical Section Chair (2017–present) Advisory Roles & Grants Anifowose advises on water pollution and energy infrastructure projects. His grants include funding from the Nigerian Government (PTDF) and collaborations with JICA and the AfDB. He has supervised over 4 PhD students and actively engages in peer review for Elsevier journals. Labs & Collaborations He contributes to the Data Science and Engineering Analytics Technical Section and collaborates with institutions like the British Hydrological Society and the Transportation Research Board’s Hazardous Materials Committee.

Mitchell Pryorمشاهده پروفایل

استاد پژوهشی

• Robotics
• Automation
• Nuclear Engineering
• +۴ مورد دیگر

Mitchell Pryor is a Research Professor in the Department of Nuclear and Radiation Engineering at the University of Texas at Austin. He specializes in applied robotics and automation, particularly in hazardous environments such as nuclear facilities, energy sectors, and defense applications. Pryor earned his BSME from Southern Methodist University (1993), followed by an MS (1999) and PhD (2002) in Mechanical Engineering from UT Austin. His research focuses on robotics for hazardous environments, including nuclear waste management, autonomous systems, and human-robot collaboration. He leads the Nuclear & Applied Robotics Group (NRG) and co-founded RAPID, an industry affiliate program supporting automation in energy sectors. His work spans robotics in extreme environments, augmented reality interfaces, and task planning frameworks. Key collaborations include Army Futures Command (AFC), NASA, DARPA, and DOE national labs such as INL, LANL, and ORNL. Pryor’s contributions include developing the TeMoto software framework for robotic autonomy, virtual fixture systems, and radiation surveying methodologies. He chairs the ANS Robotics & Remote Systems Division and actively participates in IEEE, ASME, and other professional societies. His research emphasizes interdisciplinary approaches to deploy robotics in complex, uncertain environments for tasks like material handling, mobile manipulation, and environmental monitoring. Notable projects include AR-STAR for real-time robot data modification, MaRMOT for object tracking, and TeMoto 2.0 for task execution formalisms. His work bridges theoretical robotics with practical applications in nuclear safety, energy infrastructure, and defense systems.

• Visual Computing
• Computer Vision
• Computer Graphics
• +۱۱ مورد دیگر

James Tompkin is a visual computing researcher focusing on computer vision, computer graphics, and human-computer interaction. His lab develops techniques for image and video creation, editing, analysis, and interaction, emphasizing image and scene reconstruction from multi-camera systems and complex dynamic scenes. Applications span 2D, multi-view, and VR/AR displays. His research interests include scene reconstruction, neural rendering, light fields, time-of-flight sensors, and perceptual design for augmented reality. He works on algorithms for depth estimation, view synthesis, and interactive systems. His publications demonstrate expertise in neural fields, Gaussian splatting, and light field processing for VR/AR applications. Key themes include machine learning for scene flow estimation, efficient rendering of large-scale environments, and improving generative model stability.

Kai Rannenbergمشاهده پروفایل

استاد

• Mobile and embedded systems
• Multilateral Security
• Privacy and identity management
• +۷ مورد دیگر

Professor Kai Rannenberg is the Chair of Mobile Business & Multilateral Security at Goethe University Frankfurt since 2002 and holds a Visiting Professorship at the National Institute for Informatics in Tokyo since 2012. He previously worked with the System Security Group at Microsoft Research Cambridge on Personal Security Devices & Privacy Technologies. His extensive academic career spans over three decades with significant contributions to security and privacy research. His research interests focus on mobile and embedded systems, multilateral security in mobile business, location-based services, transport systems, and industrial applications. He has made significant contributions to privacy and identity management, particularly in attribute-based authorization, communication infrastructures and devices, and security/privacy standardization. His work emphasizes balanced security approaches that protect all stakeholders' interests. Professor Rannenberg's publications reveal a strong focus on practical privacy solutions for mobile and IoT environments, with recent work examining privacy-enhancing technologies adoption, mobile augmented reality security, and enterprise smartphone app risk assessment. His research consistently bridges theoretical security concepts with practical implementation challenges across various domains including e-commerce, social media, and critical infrastructure protection. IFIP Honorary Treasurer (2021-2024) and President-elect (2024-present) IFIP Vice President (2015-2021) and Councillor (2009-2015) Chair of IFIP TC-11 'Security and Privacy Protection in Information Processing Systems' (2007-2013) Academic expert in ENISA Management Board (2004-2013) and Advisory Group (2013-2022) Chair of CEPIS Legal & Security Issues Special Interest Network (since 2003) Editor-in-chief of IFIP Advances in Information and Communication Technology (since 2014) Professor Rannenberg has coordinated several leading EU research projects including the Network of Excellence 'Future of Identity in the Information Society' and the Integrated Project 'Attribute based Credentials for Trust' (ABC4Trust). He currently coordinates CyberSec4Europe, a pilot for the European Cybersecurity Competence Network. His leadership extends to ISO/IEC standardization work, where he served as Convenor of SC 27/WG 5 'Identity management and privacy technologies' and previously coordinated the 'Kolleg Security in Communication Technology' sponsored by Gottlieb Daimler & Karl Benz Foundation. His research group at Goethe University Frankfurt maintains active collaborations with industry and government agencies, particularly in the areas of mobile security, privacy-enhancing technologies, and standardization efforts. The group has recently received funding from the Goethe-Corona-Fonds for research on the German Corona Warning App adoption factors.

John Paparrizosمشاهده پروفایل

استادیار

• Databases
• Data Science
• Machine Learning
• +۵ مورد دیگر

John Paparrizos is an Assistant Professor of Computer Science and Engineering at The Ohio State University's College of Engineering, where he directs The DATUM Lab (Data Analytics, Understanding, Mining, and Management Lab). He maintains an adjunct affiliation with the School of Informatics at Aristotle University of Thessaloniki. His research spans databases, data science, machine learning, and artificial intelligence , with focus areas including: Time-series analysis (clustering, anomaly detection) Scalable data mining for structured/unstructured data Adaptive algorithms for resource-constrained environments Foundational technologies for data-intensive applications His work addresses real-world challenges across relational, time-series, multimedia, text, graph, web, and IoT data domains. Notable recognition includes: 2025 ACM SIGMOD Test-of-Time Award for k-Shape time-series clustering 2023 IEEE TCDE Rising Star Award ACM SIGMOD Research Highlight Award NetApp Faculty Award His research has been featured in New York Times (front page), Washington Post , Forbes , and adopted by Fortune 500 companies (Exelon, Nokia) and the European Space Agency. He actively serves on program committees for premier conferences including ACM SIGMOD, VLDB, IEEE ICDE, ACM SIGKDD, and NeurIPS. His open-source tools have exceeded 100,000 downloads and are integrated into academic curricula at Brown, Columbia, Purdue, and University of Chicago.

Laura Treersمشاهده پروفایل

استادیار

• Robotic locomotion in complex terrains
• Physics of granular materials
• Robophysics
• +۴ مورد دیگر

Laura Treers is an Assistant Professor in the Department of Mechanical Engineering at the University of Vermont (UVM), affiliated with the UVM CREATE Center. She holds a PhD from UC Berkeley (2023) and a B.S. from MIT (2018). Prior to UVM, she was a postdoctoral scientist at Georgia Tech in Physics and Biological Sciences. Her research focuses on robotic mobility in complex terrains, combining robotics, physics, and biomechanics. The Interact Lab at UVM explores terramechanics, experimental robotics, and complex terrains, with key interests in granular media modeling, mechanism design, and 'robophysics' principles. Her work bridges robotics, biology, and environmental systems. Her academic awards include the 2023 Outstanding Graduate Student Instructor Award, 2019 National Defense Science Fellowship, and MIT's Thomas Sheridan Prize. She teaches courses like Control Systems (ME 3320A) and Mechatronics (ME 2990). Committed to equity in STEM, she mentors underrepresented students in robotics and science outreach programs. Key research themes include collective behavior in robotic and biological systems, granular material manipulation, and field robotics applications. Her lab's projects emphasize interdisciplinary innovation, leveraging biological insights to enhance robotic performance in unstructured environments.

Norman Johnsonمشاهده پروفایل

استاد

• Decision-Making
• Psychometric Analysis
• Data Mining
• +۵ مورد دیگر

Norman Johnson is a Bauer Professor of Business Analytics and Chair of the Decision and Information Sciences Department at the University of Houston's C. T. Bauer College of Business. He holds a joint appointment as a Professor in the Hobby School of Public Affairs. His research focuses on decision-making processes, psychometric analysis, data mining, and predictive analytics, with applications in computer-mediated negotiations, virtual worlds, and healthcare information systems. He has over two decades of academic experience, including prior roles as an Assistant Actuary and current advisory roles in corporate data analytics. Johnson earned his Ph.D. from the City University of New York. His research appears in top-tier journals such as MIS Quarterly, Journal of Management Information Systems, and European Journal of Information Systems. Key themes include the impact of communication media on negotiation dynamics, affective computing in virtual environments, and the integration of structured/unstructured data analytics in public and private sectors. His applied work bridges academia and industry, with projects on predictive modeling for pension funds, healthcare IT adoption, and user engagement in virtual worlds. While no formal awards are listed, his prolific publication record reflects sustained scholarly impact. Johnson advises students in the Bauer Ph.D. programs and collaborates across disciplines, including the Hobby School of Public Affairs. His current research emphasizes big data applications in governance and healthcare, reflecting his dual role in business analytics and public policy.

Antonio Andriellaمشاهده پروفایل

استاد پژوهشی

• Human-Centered Robotics
• Socially Assistive Robotics
• Robot Personalisation
• +۵ مورد دیگر

Dr. Antonio Andriella is a Postdoctoral Researcher at the Institut de Robòtica i Informàtica Industrial (IRII), a joint research center of the Spanish National Research Council (CSIC) and Technical University of Catalonia (UPC). He is an incoming Tenured Scientist at IRII expected to start by the beginning of 2026. Previously, he was a Research Scientist at Pal Robotics awarded with a Marie Skłodowska-Curie cofund fellowship in the H2020 project PRO-CARED (no.801342), and a Postdoctoral Researcher at the Artificial Intelligence Research Institute (IIIA) working on the Value-Aware Artificial Intelligence (VALAWAI) project. His educational background includes: PhD in Control, Robotics and Vision (2022) from Institut de Robotica i Informatica Industrial, CSIC-UPC MEng in Artificial Intelligence (2009) from Sapienza, University of Rome BSc in Computer Engineering (2006) from Sapienza, University of Rome Dr. Andriella's research focuses on creating proactive, personalized robots that can tailor their behavior to individual needs and preferences. His work spans Human-Centered Robotics , Socially Assistive Robotics , Robot Personalisation , Proactive Behaviour , and Explainable Robotics . He investigates how robots can explain their decisions to help users build clearer mental models of these systems, ultimately making robots more transparent and understandable. His research has significant applications in healthcare, particularly for elderly care and cognitive training. His recent publications demonstrate a strong focus on applying robotics to healthcare challenges, particularly in cognitive training for elderly patients with cognitive impairments. His work bridges theoretical AI approaches with practical applications in real-world environments, emphasizing user experience, personalization, and explainability across various contexts including frailty assessment, customer service interactions, and therapeutic applications. His scientific achievements have been recognized with prestigious awards: Georges Giralt award for the best European PhD thesis from euRobotics AIHUB.CSIC prize for the best AI PhD Thesis from the AI Hub of the Spanish National Research Council (CSIC) Dr. Andriella has been actively involved in multiple research projects including SWEET (Social aWareness for sErvicE roboTs), ROSPIA, FRAILWATCH, and DEMETER 5.0. He has organized workshops on trust, AI, ethics and personalization at major conferences including HRI, RO-MAN and ICSR, and has served as guest editor for journals such as International Journal of Social Robotics, Frontiers in Robotics and AI, and Paladyn Journal of Behaviour and Interaction Studies. His research group focuses on developing the CARESSER framework (aCtive leARning agEnt aSsiStive bEhaviouR) for in situ learning of robot social assistance, with applications in cognitive training therapy and elderly care. Current projects are exploring robot-assisted frailty assessment systems, dataset reliability for HRI research, and multilingual intent recognition on social robots, demonstrating his commitment to both theoretical advancements and practical implementations in the field.

Anna Sidorovaمشاهده پروفایل

استاد

• Artificial Intelligence in Business
• AI Ethics and Governance
• Digital Transformation
• +۷ مورد دیگر

Anna Sidorova is a Professor and Chair of the Department of Information Technology and Decision Sciences at the G. Brint Ryan College of Business, University of North Texas. She holds a Ph.D. in Information Systems from Washington State University and has extensive experience in both academia and industry. Ph.D., Information Systems, Washington State University MBA, Washington State University B.A., Washington State University Her research focuses on Artificial Intelligence in Business , AI Ethics and Governance , Business Intelligence and Analytics , Text Mining , and Digital Transformation . She explores how organizations adopt and benefit from advanced technologies, particularly in decision-making and process improvement. The analysis of her publications reveals a strong trajectory in AI and machine learning applications in business, with a growing emphasis on ethical and governance aspects. Her work spans technical implementation and strategic implications, often published in premier journals like MIS Quarterly and Decision Support Systems . Dr. Sidorova has held significant leadership roles, including Academic Associate Dean for Undergraduate Programs at RCOB. She previously served as an Assistant Professor at the University at Albany, SUNY, and worked as a business consultant at PricewaterhouseCoopers, advising on business strategy and IT systems. She teaches graduate courses in Artificial Intelligence in Business, Information System Development, and Information Systems Theory and Research, contributing to the development of future business and technology leaders.

• Outdoor Education
• Environmental Education
• Sustainability Education
• +۶ مورد دیگر

Takako Takano is a Professor at Waseda University 's School of Culture, Media and Society, with additional roles at Nagoya University's Research Center of Health, Physical Fitness and Sports. She holds a PhD in Outdoor Environmental & Sustainability Education (University of Edinburgh), M.Phil in Environmental Science (Cambridge), and MA in Sociology (Waseda). Her career spans roles at Rikkyo University, Tokyo Nogyo University, and Waseda University since 2004. Key Research Areas: Sustainability Education Place-Based Learning Community Development Environmental Sociology Cultural Integration in Curriculum Her 15 most recent articles (2004-2021) focus on land-based education , cross-cultural sustainability programs , and long-term impacts of outdoor experiences . These works analyze cases from Alaska, Japan, Micronesia, and global symposia, emphasizing cultural-environmental bonds , student self-awareness , and policy adaptation . Scientific Awards: Dragonfly Award (2019) The Butterfly Award (2018) Waseda University Teaching Award (2016)