جست‌وجوی استاد و پژوهشگر

Alexandre Mendesمشاهده پروفایل

مدرس ارشد

• Machine Learning
• Optimization
• Deep Learning
• +۶ مورد دیگر

Dr. Alexandre Mendes is a Senior Lecturer at the University of Newcastle, affiliated with the School of Information and Physical Sciences and the Department of Computing and Information Technology. His research focuses on machine learning, optimization, and deep learning, with applications in robotics, energy systems, and transport logistics. Education: PhD in Electrical Engineering, Universidade Estadual de Campinas, Brazil MSc in Electrical Engineering, Universidade Estadual de Campinas, Brazil Bachelor in Applied Mathematics, Universidade Estadual de Campinas, Brazil Graduate Certificate in the Practice of Tertiary Teaching, University of Newcastle Research Interests: Mendes specializes in applying machine learning to real-world problems such as optimizing railway logistics, predicting solar energy output, and improving robotic systems. His work bridges theory and practice, collaborating with industries like CSIRO and Hunter Valley Coal Chain. Grants and Funding: He has secured over AU$1.5M in grants from ARC, CSIRO, and industry partners. Key projects include coal train scheduling optimization and solar energy prediction using deep learning. Awards: Work Integrated Learning Staff Member of the Year (2020) Best Student Paper Award (2012) Pro Vice-Chancellor's Research Excellence Award (2011) Labs and Teams: He leads the NUbots robotics team, focusing on humanoid robots and autonomous systems. His research group collaborates on projects like the Sydney Metro and Hunter Region rail network optimization.

Marcus Holzingerمشاهده پروفایل

استاد

• Space Policy
• Space Situational Awareness
• Information Theory
• +۴ مورد دیگر

Dr. Marcus Holzinger is the Joseph T. Negler Professor and Hatfield Endowed Professor in Space Policy & Law at the University of Colorado Boulder's Department of Aerospace Engineering Sciences. He leads the Colorado Center for Astrodynamics Research (CCAR) and the VADeR Laboratory, focusing on advancing space exploration through interdisciplinary research in space policy, autonomy, and space situational awareness. His work emphasizes collaboration and sustainable practices in space. Education: PhD in Aerospace Engineering Sciences, University of Colorado Boulder (2011) MS in Aeronautics & Astronautics Engineering, University of Washington (2005) BS in Aeronautics & Astronautics Engineering, University of Washington (2003) Research Interests: Space Policy & Law Space Domain Awareness Autonomy & Decision Support Systems Cislunar Space Dynamics Information Theory & Estimation Space Traffic Management Recent Research Trends: Holzinger’s work prioritizes cislunar space exploration and decentralized decision-making for space systems, with applications in orbital debris mitigation, sensor tasking, and spacecraft autonomy. His publications frequently address challenges in initial orbit determination and spacecraft maneuver detection . Awards: American Astronautical Society Fellow (2022) AIAA Associate Fellow (2018) AFOSR Young Investigator Award (2017) Advising & Labs: Holzinger mentors students in the STARLIT and VADeR Observatories. Notable advisees include Sam Fedeler (2023 PhD) and Katie Melbourne (PhD student). His labs develop technologies like astrographic mapping and sensor networks for space surveillance. Labs/Teams: CCAR and the VADeR Lab collaborate on projects funded by NASA, AFRL, and industry partners, emphasizing hardware-in-the-loop testing and space policy frameworks.

• Robotics
• Human-Robot Interaction
• Swarm Robotics
• +۵ مورد دیگر

Michael A. Goodrich is a Professor in the Department of Computer Science at Brigham Young University, with an extensive research career spanning over two decades in robotics, human-robot interaction, and swarm intelligence. His work bridges theoretical foundations with practical applications, particularly in autonomous systems and multi-agent coordination. His research interests focus on Robotics , Human-Robot Interaction , Swarm Robotics , Artificial Intelligence , and Autonomous Systems . Goodrich's work explores how humans and robots can effectively collaborate, with particular emphasis on proficiency assessment, resilience, and communication in human-robot teams. His research has significant applications in search and rescue operations, swarm robotics, and autism therapy. Analysis of his recent publications reveals a strong focus on robot self-assessment capabilities, swarm behavior optimization, and resilience in multi-agent systems. His work increasingly integrates formal methods with practical robotics applications, creating frameworks for robots that can assess their own capabilities and communicate this information effectively to human teammates. Among his notable contributions are frameworks for robot proficiency self-assessment using assumption-alignment tracking, methods for designing resilient swarm behaviors, and formalizations of resilience for goal-oriented agents. His work has been published consistently in top venues including IEEE Transactions on Robotics, ACM Transactions on Human-Robot Interaction, and International Journal of Robotics Research. Dr. Goodrich has advised numerous students who have become active researchers in the field, including Aadesh Neupane, Daqing Yi, Xuan Cao, and Puneet Jain. His collaborative work spans multiple institutions and has practical applications in wilderness search and rescue, autism therapy, and multi-robot coordination systems.

António Casimiroمشاهده پروفایل

دانشیار

• Dependable adaptive systems
• Middleware for distributed embedded real-time systems
• Cyber-Physical Systems
• +۴ مورد دیگر

António Casimiro is an Associate Professor at the Department of Informatics of the Faculty of Sciences, University of Lisbon. He holds a PhD in Computer Science (2003) from the same institution. His research focuses on dependable adaptive systems, middleware for distributed real-time applications, and cyber-physical systems. He leads the Cyber-Physical Systems research line at the LASIGE research unit and coordinates EU projects like ADMORPH and VEDLIoT, as well as the national AQUAMON project for water monitoring. Education: PhD in Computer Science, University of Lisbon (2003) Research Interests: Middleware for embedded real-time systems Fault-tolerant distributed systems IoT and environmental monitoring Cybersecurity in autonomous systems Key Projects: KARYON (FP7): Safe cooperative automotive/avionics systems VEDLIoT (H2020): Accelerated AIoT systems AQUAMON: Wireless sensor networks for water monitoring Awards: None explicitly listed, but active in editorial roles like Editor-in-Chief of the Ada User Journal. Teaching & Leadership: Coordinates the Master in Information Security program Former Vice-Director of LASIGE and member of Faculty Scientific Council Labs/Teams: LASIGE research unit, Navigators group, involvement in GULLIVER testbed for vehicular systems.

Ignacio Carluchoمشاهده پروفایل

استادیار

• Robotics
• Autonomous Systems
• Reinforcement Learning
• +۳ مورد دیگر

Ignacio Carlucho is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. He holds a PhD from the National University of Central Buenos Aires (2019) and completed postdoctoral research at Louisiana State University (2020–2021) and the University of Edinburgh (2021–2023). His research focuses on intelligent robots, particularly in underwater robotics, reinforcement learning, multi-agent systems, and cooperative autonomy. **Education:** PhD in Robotics, National University of Central Buenos Aires, 2019 Postdoctoral Researcher, Louisiana State University, 2020–2021 Postdoctoral Researcher, University of Edinburgh, 2021–2023 **Research Interests:** Underwater Robotics Reinforcement Learning Multi-Agent Systems Autonomous Systems Human-Robot Interaction Simulation Frameworks (e.g., MarineGym, Stonefish) His work emphasizes cooperative robotics, underwater vehicle control, and ad hoc teamwork in dynamic environments. **Publications:** Over 46 research outputs, with recent contributions focusing on underwater robotics simulation, reinforcement learning algorithms, and digital twins for teleoperation. Key frameworks include MarineGym (underwater RL platform) and Stonefish (machine learning support for marine robotics). **Awards:** No scientific awards explicitly listed in the provided texts. **Advising & Grants:** Accepting PhD students in reinforcement learning, robotics, and multi-agent systems. Collaborations include projects on underwater vehicle autonomy and ad hoc teamwork. **Labs & Teams:** Active in the Institute of Sensors, Signals & Systems, contributing to interdisciplinary robotics and marine technology initiatives.

Suman Bistaمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Computer Vision
• SLAM Algorithms
• +۳ مورد دیگر

Dr. Suman Bista is a Research Fellow at the QUT Centre for Robotics, Queensland University of Technology. He holds a PhD in Signal Processing and Telecommunications from Université de Rennes. His primary research focuses on robotics, computer vision, and SLAM algorithms, with notable contributions to indoor navigation systems, semantic segmentation, and medical imaging applications. He has published extensively in top-tier journals like the International Journal of Robotics Research and conferences such as IEEE/RSJ IROS. Key research interests include visual servoing, resource-constrained robotics, and simulation environments for active scene understanding. His work bridges theoretical advancements with practical applications in autonomous systems and healthcare diagnostics. Dr. Bista’s publications highlight innovative solutions in robotics navigation, including the development of BenchBot environments for simulating real-world robotics challenges. His research emphasizes cross-disciplinary approaches, integrating computer vision techniques with robotics hardware design.

Pietro De Lellisمشاهده پروفایل

دانشیار

• Complex Networks
• Automatic Control
• Synchronization and Consensus
• +۷ مورد دیگر

Pietro De Lellis is an Associate Professor of Automatic Control at the University of Naples Federico II, Italy. He holds a PhD in Automation Engineering (2009) from the same institution and has held visiting roles at NYU Polytechnic School of Engineering, including a Visiting Professorship (2010) and Postdoctoral Fellowships (2012–2014). His academic roles also include Adjunct Professor at the Italian Air Force Institute of Technology (2010–2014). His research focuses on complex networks, synchronization, control, and co-evolving systems in finance and biology, with collaborations at NYU and international institutions. Education: PhD in Automation Engineering (2009), University of Naples Federico II. Visiting scholar at NYU Polytechnic Institute (2009). Postdoctoral fellowships funded by Forgiare (2010), MASTRI (2012), and NYU projects on collective behavior and robotics. Research interests span analysis/synchronization of complex networks, collective behavior in animal groups, formation control, co-evolving financial networks, partial control strategies, and networks of discontinuous systems. Recent projects include the ACROSS initiative on stochastic systems and evolving networks. His work bridges theoretical control with experimental validation (e.g., Chua’s circuits experiments). Publications reflect interdisciplinary focus: synchronization in networks, pinning control algorithms, and applications to financial markets, robotics, and epidemiological modeling (e.g., 2020 Italian COVID-19 network analysis). Active in grants and collaborations, including EU-funded projects and industry partnerships. Teaching includes courses on system analysis and control of complex systems at the University of Naples. Labs: NYU Dynamical Systems Lab (collaborations), Electrical Engineering Lab (experimental setups).

• Modelling & Simulation
• Health Policy and Planning
• Data Science
• +۳ مورد دیگر

Nikolas Popper is a Senior Scientist and Research Fellow at the Technische Universität Wien (TU Wien), affiliated with the Department of Data Science (E194-04). He leads the DEXHELPP initiative (Decision Support for Health Policy and Planning) as its director and chairs the COMET Initiative. His primary research focuses on modeling and simulation of dynamic systems, particularly in healthcare, logistics, and biomedical engineering. Key areas include hybrid simulation, comparative modeling, and the integration of data-driven methods into policy decision-making. Popper's academic roles include teaching courses on modeling and simulation, health technology assessment, and advanced simulation techniques. He has pioneered the use of agent-based models to address public health challenges, notably during the COVID-19 pandemic, where his work supported Austrian policy decisions. His interdisciplinary projects span railway optimization, vaccine strategy modeling, and patient-centric health technologies. He holds leadership positions in multiple academic societies, including ISPOR (Austrian Chapter President), EUROSIM, and ASIM. Notable awards include the 'Österreicher des Jahres' (Research Category, 2021) and the Gerhart-Bruckmann-Preis (2021). His research has been funded by grants from the Austrian government, FFG, and FWF, addressing topics like vaccination prioritization and pandemic response systems. Popper’s contributions extend to founding initiatives like the 'drahtwarenhandlung' science production studio and the dwh GmbH spin-off from TU Wien. He actively engages in public discourse on data-driven decision-making and pandemic modeling through media and conferences.

• Marketing
• Social Influence
• Network Science
• +۷ مورد دیگر

Sebastiano Delre is an Associate Professor in the Department of Marketing, Sales, & Branding at MBS Education. His research focuses on social influence mechanisms, network science, and innovation diffusion in marketing contexts, with a particular emphasis on shared consumption behaviors, agent-based modeling, and big data analysis. Methodologically, he bridges social science, statistics, and computer science to study marketing dynamics. His work examines topics such as strategic budget choices in the motion picture industry, brand personality impacts on equity over time, and the temporal dynamics of electronic word-of-mouth on movie box office performance. Recent studies include investigations into how internships foster innovation and frugal behavior among students. Delre's research has been published in prestigious journals like the Journal of Industrial Economics , Journal of the Academy of Marketing Science , and Journal of Marketing Research . His approach combines rigorous quantitative methods with practical insights, aiming to uncover how consumer decisions and social interactions shape market outcomes. Despite no explicitly listed awards, his prolific publication record reflects his scholarly contributions. While no formal advising or grant details are provided, his work consistently addresses applied marketing challenges through computational simulations and longitudinal data analysis.

Leonardo Bonatiمشاهده پروفایل

پژوهشگر

• Wireless Communications
• Telecommunications
• Network Security
• +۴ مورد دیگر

Leonardo Bonati is an Associate Research Scientist in the Department of Electrical and Computer Engineering at Northeastern University. He specializes in cutting-edge wireless communication systems, particularly focusing on Open RAN, 5G/6G networks, and AI-driven network intelligence. His work emphasizes automated testing, network slicing, and security in software-defined cellular systems. He leads and contributes to high-profile projects such as AutoRAN and DigiRAN, funded under the CHIPS and Science Act, which aim to enhance open and disaggregated cellular network testing and digital twin frameworks. His research also involves experimental platforms like Colosseum and OpenAirInterface for large-scale wireless emulation and real-world testing. Key research interests include: AI-based network control (via dApps/xApps), digital twins for network validation, zero-touch deployment, and security in O-RAN interfaces. He holds multiple patents on topics ranging from network slicing to private 5G connectivity through steganography. Notably, Bonati was recognized among the top 2% most-cited scientists globally in 2024 by Stanford University. He collaborates actively with industry and academia on next-generation cellular technologies, contributing to both theoretical advancements and practical implementations. His advising and grant activities include co-PI roles on major initiatives like AutoRAN (testing automation) and DigiRAN (high-fidelity digital twins), totaling over $4M in funding. Bonati’s work bridges academic research and industry-ready solutions through platforms like Colosseum and the Open RAN Gym.

Javier Bajoمشاهده پروفایل

استاد

• Multi-Agent Systems
• Social Computing
• Ambient Intelligence
• +۵ مورد دیگر

Javier Bajo is a Full Professor at the School of Computer Engineering, Polytechnic University of Madrid (UPM). He coordinates the Master's Degree in Artificial Intelligence at UPM and previously held roles as Associate Professor and Director of the Data Center at the Pontifical University of Salamanca (2003–2012). He earned a PhD in Computer Sciences (summa cum laude) from the University of Salamanca (2007), a Master’s in E-Commerce (2006), and degrees in Computer Systems Engineering (University of Valladolid, 2001) and Computer Science (Pontifical University of Salamanca, 2003). His research focuses on multi-agent systems, social computing, ambient intelligence, and AI ethics. He has led 11 research projects and contributed to over 50 others, with funding from EU, national, and regional entities. He has authored/co-authored over 300 publications, including 49 in JCR-indexed journals, and co-chaired 30+ international conferences (e.g., ACM SAC, IEEE FUSION). His work bridges theory and practice: developing multi-agent architectures for smart cities, optimizing traffic systems, and addressing algorithmic fairness. He also pioneers gamification in machine learning education and applies AI to healthcare diagnostics and infrastructure management. Key contributions include: Smart waste collection systems with LoRaWAN and route optimization Anti-feromone algorithms for urban rescue robotics Causal models for bias mitigation in AI Multi-sensor fusion for crop irrigation monitoring His educational innovations include challenge-based learning frameworks for computational biology and flipped classrooms for sustainability education.

Emilio Serranoمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Data Science
• +۶ مورد دیگر

Dr. Emilio Serrano is an Associate Professor at the Department of Artificial Intelligence, Technical University of Madrid (UPM). He holds an M.Sc. in Computer Science from the University of Murcia (2006) and a Ph.D. with European Mention from the same institution (2011). His research focuses on AI ethics, machine learning, bioinformatics, and multi-agent systems. He has authored over 50 international publications, including 10 in top-tier JCR journals. He has participated in EU projects like FP7’s SMARTOPENDATA, EUROSentiment, and Omelette. Dr. Serrano has received the National Research Fellowship (FPU) and the Extraordinary Ph.D. Award. His teaching spans 20+ education science courses, 12 university modules, and postgraduate seminars. His work integrates AI with social simulations, environmental forecasting, and healthcare applications, emphasizing ethical AI and bias mitigation. Awards: FPU Fellowship (2008), Extraordinary Ph.D. Award (2012) Grants: FP7 Projects (SMARTOPENDATA, EUROSentiment, Omelette) Labs/Teams: Active in AI ethics, bioinformatics, and multi-agent systems research

• Artificial Intelligence
• Machine Learning
• Programming Education
• +۳ مورد دیگر

Nicola Dainese is a Doctoral Researcher in the Department of Computer Science at the School of Science. His work focuses on the intersection of artificial intelligence and programming education, leveraging large language models (LLMs) to improve code generation, feedback mechanisms, and symbolic regression. Current projects include STN LITERACY (2023-2026) and FCAI Flagship (2020-2022, extended to 2026). Collaborations span institutions like the Finnish Center for Artificial Intelligence (FCAI) and international research teams. Research interests include: Large Language Models (LLMs) for code generation and feedback Model-based reinforcement learning in programming education Symbolic regression and function discovery via AI Educational technology for student assessment Open-source language models and ethical AI applications Recent publications highlight trends in leveraging LLMs for programming feedback, code repair, and symbolic regression. Key subfields include Monte Carlo Tree Search, prompt engineering, and vision-language models for AI planning. Active project member in DATALIT , addressing data literacy for responsible decision-making. Contributed to benchmarking studies on educational program repair and code world modeling.

Masih Fadakiمشاهده پروفایل

مدرس ارشد

• Supply Chain Analytics
• Approximate Dynamic Programming
• Applied Operations Research
• +۳ مورد دیگر

Dr. Masih Fadaki is a Senior Lecturer in the Accounting, Info Sys & Supply Chain Department at RMIT University's City Campus, Australia. He holds a Bachelor of Engineering (First-Class Honours), an MBA in Operations Management, and a PhD in Supply Chain Management. With nearly 20 years of industry experience in analytics, supply chain, and procurement roles, Dr. Fadaki has published in top-tier journals such as Decision Sciences and International Journal of Production Economics . His research focuses on Approximate Dynamic Programming, Supply Chain Analytics, and Stochastic Programming. He has received multiple teaching awards from RMIT and the University of Melbourne, as well as the School Research Award. Education: Bachelor of Engineering with First-Class Honours MBA in Operations Management PhD in Supply Chain Management Research Interests: Approximate Dynamic Programming Supply Chain Analytics Reinforced Learning Stochastic Programming Equitable Allocation Policies Disruption Risk Management Teaching Interests: Covers Supply Chain Management, Operations Research, Big Data Analytics, and Strategic Procurement. He supervises research on humanitarian supply chains, data breach behaviors, and stochastic optimization models. Awards: RMIT University Teaching Awards University of Melbourne Teaching Awards School Research Award Committee Involvement: Served on the School Research Committee at RMIT University since July 2021.

• Mobile Health (mHealth)
• Chronic Disease Management
• Gamification in Healthcare
• +۳ مورد دیگر

Dr. Hoang D. Nguyen is an Assistant Professor at the School of Computing Science, University of Glasgow. His research focuses on mobile health (mHealth), chronic disease management, and design science research. He has contributed to developing nurse-led self-management programs for diabetes and heart failure patients, leveraging gamification and AI technologies. His work emphasizes evidence-based interventions and patient-centered care, with a strong emphasis on digital health innovation. Key research areas include mHealth intervention design, AI-driven conversational agents, and privacy-preserving visual content tagging. Nguyen has collaborated on studies evaluating smartphone-based programs for heart disease prevention and diabetes care. His methodologies often involve randomized controlled trials and in-situ simulations to assess complex design artifacts. Recent publications highlight innovations in gamified mobile health for older adults' mental well-being, blockchain applications in healthcare ecosystems, and social behavior analysis through deep learning. Nguyen’s interdisciplinary approach bridges computer science, healthcare, and design science to address global health challenges.