جست‌وجوی استاد و پژوهشگر

Greg Fonsahمشاهده پروفایل

استاد

• Agricultural Economics
• Agribusiness
• Agricultural Marketing
• +۵ مورد دیگر

E.G. Fonsah is a Professor and Research Extension Coordinator in the Department of Agricultural & Applied Economics at the University of Georgia's College of Agricultural & Environmental Sciences. His roles include academic leadership in specialty crops research and extension programming. He holds a Ph.D. in Agricultural Economics from the University of Nigeria (1993), M.S. in Agricultural Economics from the University of Kentucky (1987), M.B.A. from Morehead State University (1985), and B.S. in Management & Executive Secretarial from Berea College (1983). His research focuses on agribusiness management, agricultural production systems, international trade policies for perishable goods (fruits/vegetables), and economic analysis of specialty crops like blueberries, bell peppers, and bananas. Notable projects include studying Fusarium crown rot in bananas and economic impacts of modern farming technologies. Recent awards include the 2023 Frank Panyko Distinguished Service Award and 2022 SAEA Distinguished Extension Award. He coordinates multi-state research initiatives like USDA S-1088 on specialty crops and has advised multiple institutions on faculty promotions. His work spans field trials on shade nets in bell pepper production, Monte Carlo simulations for blueberry profitability, and disease management strategies for tropical crops in Georgia. Labs/Teams: Leads the Specialty Crops Economics Lab and collaborates with extension agents on farm profitability analyses.

Pantelis Sopasakisمشاهده پروفایل

مدرس

• Model Predictive Control
• Embedded Numerical Optimization
• Stochastic Optimal Control
• +۵ مورد دیگر

Dr. Pantelis Sopasakis is a Lecturer in the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast, Northern Ireland. His research focuses on developing efficient numerical optimization algorithms and model predictive control (MPC) methodologies for uncertain systems, with applications in autonomous vehicles, smart infrastructure networks, and advanced manufacturing. He leads projects on embedded optimization solvers, GPU-accelerated MPC, and stochastic control for systems like water networks and microgrids. His work emphasizes real-time implementation and safety-critical applications in robotics and energy systems. He teaches postgraduate and undergraduate courses in control theory and signals, and is actively involved in supervising PhD students in areas like parallel algorithms and MPC for uncertain systems. Key achievements include the development of the Open-Source Optimization Engine , widely used for embedded MPC. Research interests span distributed embedded intelligence, intelligent uncertain-aware MPC, and biomedical applications of control systems. He collaborates internationally on projects involving risk-averse control, multi-agent systems, and circular economy applications. His interdisciplinary work bridges optimization theory, robotics, and energy systems, with a focus on scalable and real-time solutions. Teaching includes modules on control systems fundamentals and advanced MPC concepts, supported by his textbook Control Systems: An Introduction . Dr. Sopasakis has contributed to over 50 publications, with recent work on conformal prediction for stochastic control, distributed collision avoidance, and thermodynamical material networks. He participates in conferences and editorial activities, and has organized events like the 2025 IEEE UK and Ireland Robotics Conference. His research group is part of the Energy, Power, and Intelligent Systems and Control clusters at Queen's.

• Agent-based Modeling
• Evolutionary Game Theory
• Traffic Simulation
• +۵ مورد دیگر

Dr. Simon Powers is a Lecturer at the School of Computing Engineering and the Built Environment at Edinburgh Napier University, where he is affiliated with the Centre for Algorithms, Visualisation and Evolving Systems (CAVES). His research focuses on agent-based modeling, evolutionary game theory, and the application of these techniques to understand social behavior, traffic systems, and human-AI interactions. Dr. Powers' research interests span multiple interdisciplinary domains: Agent-based modeling and simulation of complex systems Evolutionary game theory applications to social behavior Trust dynamics in human-AI interactions Leadership and consensus decision-making in social organisms Reciprocity mechanisms across human societies Traffic simulation and individual travel behavior modeling Dr. Powers' publication record demonstrates consistent contributions to agent-based modeling, with recent work focusing on trust in AI systems, leadership dynamics, and traffic simulation. His research shows a strong interdisciplinary approach, bridging computer science, social sciences, and evolutionary theory. The articles reveal a pattern of increasingly sophisticated modeling techniques applied to complex social phenomena, with particular attention to how individual behaviors aggregate to produce emergent systemic properties. Notable scientific contributions and recognitions include: Appointment as Associate Editor for the journal Adaptive Behavior (2017) Keynote speaker at the Second International Workshop of Social Learning and Cultural Evolution (2017) Invitation to contribute to the Encyclopedia of Evolutionary Psychological Science (2016) Dr. Powers has supervised several PhD students, including Johannes Nguyen (2020-2024) and Cedric Perret (2016-2020), and has collaborated extensively with researchers in the Centre for Algorithms, Visualisation and Evolving Systems. His work often involves developing novel modeling frameworks and notations, such as the Multi-Agent Modelling Notation (MAMN), to better understand complex adaptive systems. His research has practical applications in traffic management, AI governance, and understanding social dynamics, with recent work examining how regulation alone cannot ensure justifiable trust in AI systems.

• Mechanical Engineering
• Manufacturing Engineering
• Finite Element Analysis
• +۵ مورد دیگر

Ambarish Kulkarni is an Associate Professor at Swinburne University of Technology's School of Engineering, specializing in mechanical design, virtual/augmented reality (VR/AR), and electric vehicle (EV) technologies. His research focuses on product design, EV drivetrains, battery packaging, medical devices, and bushfire shelter design. He holds a PhD from Swinburne, a Master's from Queensland University of Technology, and a Bachelor's from the Indian Institute of Industrial Engineering. Research interests span finite element analysis, bio-mechanical modeling, and Industry 4.0 applications. Notable projects include Bombardier Tram development, therapeutic sleep systems, and smart manufacturing frameworks. He has supervised over 20 HDR students on topics ranging from predictive maintenance to extended reality in education. Awards include the Teaching Excellence Award (2016) and Premier's Design Awards for medical and safety innovations. He is a Fellow of the Institution of Engineers (Australia) and actively involved in professional bodies like SAE International. Grants funded projects on hydrogen generators, smart manufacturing systems, and graphene supercapacitors. His work bridges academia and industry through collaborations with firms like Bambach Wires and iMOVE Australia.

• Coordination Chemistry
• Luminescent Materials
• Lanthanide Chemistry
• +۴ مورد دیگر

Dr. Ana de Bettencourt-Dias serves as Chemistry Department Chair and the Susan Magee and Gary Clemons Professor of Chemistry at the University of Nevada, Reno within the College of Science. A full professor since 2013, she previously held administrative roles including Associate Vice President for Research (2015-2019) before returning to full-time research and teaching. Her academic journey spans institutions including Syracuse University and UC Davis, with foundational work in titanium CVD precursors and fullerene electrochemistry. Her educational background includes: Licenciatura (M.Sc. equivalent) in Technological Chemistry, University of Lisbon (1993) Dr. rer. nat. (Ph.D. equivalent) in Inorganic Chemistry, University of Cologne (1997) Research centers on designing luminescent lanthanide complexes for energy-efficient displays, photodynamic cancer therapy, and intracellular sensing. Her group pioneers organic ligands that enable efficient energy transfer to lanthanides, achieving multi-color emission for displays, singlet oxygen generation for tumor treatment, and viscosity/temperature reporting for disease diagnostics. This work bridges inorganic synthesis, photophysics, and biomedical applications through precise molecular engineering. Recent publications (2021-2025) reveal strong trends in environmental-responsive lanthanide probes, with emphasis on two-photon excitation for deep-tissue imaging, viscosity-sensing theranostics, and computational modeling of solution structures. Her work consistently advances ligand design strategies for optimizing energy transfer while expanding applications from OLEDs to cancer therapy. Major honors include: Royal Society of Chemistry Fellow (2024) UNR Outstanding Researcher Award (2023) AAAS Fellow (2022) ACS Fellow (2021) Technology Alliance of Central New York Science Award (2006) She has secured continuous funding from DOE, NSF, Petroleum Research Fund, USDA, and Brazilian agencies while mentoring graduate researchers. Her editorial leadership spans Inorganics (Associate Editor), Journal of Rare Earths (Managing Board), and Comments on Inorganic Chemistry . Conference organization highlights include chairing the 2014 Rare Earth Research Conference and leading the ACS Division of Inorganic Chemistry (2019-2022). The de Bettencourt-Dias research group operates advanced laboratories for synthesizing lanthanide complexes, characterizing photophysical properties, and testing biological applications, with current projects focusing on tumor-targeting photosensitizers and intracellular microenvironment probes.

Rune Hylsberg Jacobsenمشاهده پروفایل

استاد

• Energy Systems
• Drone Technology
• Blockchain Applications
• +۱۲ مورد دیگر

Rune Hylsberg Jacobsen is a Professor at the Department of Electrical and Computer Engineering, Aarhus University. His work bridges energy systems, drone technology, and blockchain applications, with a focus on smart grids, autonomous systems, and decentralized infrastructure. Research interests include: Security frameworks for prosumer-driven energy systems using blockchain mmWave and LEO satellite communication protocols Homomorphic encryption for smart meter privacy Cooperative drone swarm navigation and infrastructure inspection Earth observation via CubeSats for climate research His recent publications highlight advancements in: Zero trust security models for renewable energy certificates Transport protocol optimization in satellite networks AI-driven charging window scheduling for drone fleets Decentralized identity management in Web3 infrastructure Key projects include: DISCO-2: Student CubeSat for Arctic climate monitoring Drones4Safety: Safety-critical inspection systems VPP4SGR: Virtual Power Plant networks

Yushuai Liمشاهده پروفایل

استادیار

• Digital Twin
• Energy Internet
• Reinforcement Learning
• +۷ مورد دیگر

Yushuai Li is an Assistant Professor in the Department of Computer Science at Aalborg University. His research focuses on digital twin technologies, energy internet systems, distributed optimization, and cyber-physical security for energy networks. Institution: Aalborg University, Denmark Academic Rank: Assistant Professor Email: yushuaili@ieee.org, yusli@cs.aau.dk Research Interests: Li's work bridges artificial intelligence with energy systems, emphasizing: Digital Twin for Energy and Transportation Integration Reinforcement Learning in Power Trading Distributed Control for Microgrids Privacy-Preserving Energy Dispatch Autonomous Driving-Energy System Coupling Scientific Contributions: His recent publications address critical challenges in energy internet resilience, including: Distributed control under stealthy attacks Noise-resilient microgrid operations Multi-timescale optimization algorithms Event-triggered control strategies Secure peer-to-peer energy trading Honors & Awards: Recipient of multiple prestigious awards, including: Best Paper Awards (MPCE, ICCSIE, IEEE EI2) Excellent Young Expert Award (MPCE, 2023) National Natural Science Prizes (CAA 2022-2023) Highly Cited Papers (8 ESI Highly Cited, 2 ESI Hot Papers) H-index 24 with 2500+ Google Scholar Citations Academic Leadership: Serves as Associate Editor for four IEEE journals and chairs sessions at leading conferences like IEEE SmartGridComm, ISIE, and IEEE EI2. His 70+ publications span top venues including IEEE Transactions on Cybernetics, Smart Grid, and ACM SIGMOD.

Márton Lőrincمشاهده پروفایل

استاد

• Control Theory of Dynamic Networks
• Nonlinear Systems Control
• Population Dynamics Modeling
• +۳ مورد دیگر

Lőrinc Márton is a Professor of Control Systems at the Sapientia Hungarian University of Transylvania, where he serves as deputy head of the Department of Electrical Engineering and leads the Networked and Autonomous Control Systems research group. He also acts as a PhD supervisor at the Doctoral School of Information Science and Technology, University of Pannonia. Research Interests: Control-oriented modeling of dynamic systems Fault diagnosis in interconnected networks Delay compensation in communication systems Population dynamics and migration modeling Robot swarm coordination Key Contributions: Developed control strategies for chemical reaction networks Created delay-robust algorithms for computer networks Formulated migration cost-based population stabilization methods Contact: martonl@ms.sapientia.ro | Office: 1C Calea Sighisoarei, Corunca, Mures 94305, RO

Stefan Haeusslerمشاهده پروفایل

دانشیار

• Production Planning
• Logistics Management
• Workload Control
• +۷ مورد دیگر

Stefan Haeussler is an Associate Professor at the Department of Information Systems, Production and Logistics Management within the University of Innsbruck , Austria. His academic career spans since 2009, starting as a University assistant while completing his PhD in Management. He holds dual diplomas in Business Administration (2009) and Political Science (2010) from the same university. Specializing in production and logistics management, Häussler combines optimization techniques with machine learning approaches to address complex manufacturing challenges. His research focuses on Workload control systems Order release mechanisms Lead time management Reinforcement learning applications Semiconductor manufacturing optimization Behavioral operations in supply chains Recent publications highlight his work on integrated production planning , explainable AI for powertrain control , and dynamic workload allocation . He actively presents at major conferences like Winter Simulation Conference, EURO, and International Working Seminar on Production Economics. Häussler also teaches master's level courses and supervises thesis work in production economics, while serving as a guest lecturer on topics at the intersection of AI and manufacturing.

• Complex networks
• Multi-agent systems
• Nonlinear control
• +۵ مورد دیگر

Anton Proskurnikov is an Associate Professor in the Department of Electronics and Telecommunications at Politecnico di Torino, Italy. His academic appointment spans the College of Computer, Film and Mechatronics Engineering and the College of Mechanical, Aerospace and Automotive Engineering. Based in office L.240, he maintains an active research program focused on control theory with applications to complex networked systems. Dr. Proskurnikov's research centers on complex networks, multi-agent systems, nonlinear control, and social network analysis, with significant contributions to understanding opinion dynamics and consensus mechanisms. His work bridges theoretical control engineering with practical applications in social dynamics, earning recognition through prestigious awards including the O. Hugo Schuck Best Paper Award (2023). His expertise spans control theory, optimization, and network analysis with implications for sustainable infrastructure and smart cities. His publication trajectory reveals a sophisticated evolution from foundational control theory toward increasingly complex applications in social dynamics and networked systems, with recent emphasis on bounded confidence models, higher-order interactions in social dynamics, and quantum optimization for complex system design. This interdisciplinary approach connects traditional control engineering with emerging challenges in social network analysis. Dr. Proskurnikov has received multiple significant awards: O. Hugo Schuck Best Paper Award (2023) from the American Automatic Control Council EPEPS Best Paper Award (2020) from EPEPS Conference Annual Reviews in Control Paper Prize (2020) from IFAC As an academic advisor, Dr. Proskurnikov currently supervises PhD student Jinze Wu in Electrical, Electronics, and Communications Engineering. His research is supported by the National Research PRIN project "Higher-order interactions in social dynamics with application to monetary networks" (2023-2025), for which he serves as Scientific Manager. He contributes to editorial boards of leading journals including IEEE TRANSACTIONS ON AUTOMATIC CONTROL and INTERNATIONAL JOURNAL OF CONTROL, reflecting his standing in the control theory community. Dr. Proskurnikov is an active member of the Automatica research group within the Department of Electronics and Telecommunications, focusing on systems, automation, and control. His collaborative work extends internationally to institutions including TU Delft, St. Petersburg National Research University, and the University of Groningen, demonstrating his strong international research presence and interdisciplinary approach to complex networked systems.

Hakan Yamanمشاهده پروفایل

استاد

• Project and Construction Management
• Building Information Modeling (BIM)
• Multi-agent Systems
• +۳ مورد دیگر

Hakan Yaman is a Professor at the Department of Architecture , Faculty of Architecture , Istanbul Technical University . With over 35 years of experience, he specializes in Project and Construction Management with a focus on Building Information Modeling (BIM) , Multi-agent Systems , and Sustainable Construction . PhD in Building Science from Istanbul Technical University (1996) Current academic roles: Graduate Program Coordinator, Faculty Board Member His research bridges Construction Economics , Urban Transformation , and Digital Compliance through innovative models like the BIM-Based Building Regulation Compliance Control and Multi-agent Contractor Prequalification systems. Recent works examine Multifamily Residential Design Optimization and Construction Sector Dynamics in Turkey. Notable awards include: 2022 ITU Academic Performance Award 2022 ITU Publication Encouragement Award 2016 Anadolu University Most Successful Paper Award

Claudia Califanoمشاهده پروفایل

دانشیار

• Nonlinear Systems Analysis
• Time-Delay Systems
• Digital Control
• +۵ مورد دیگر

Claudia Califano is an Associate Professor at the Department of Computer, Control and Management Engineering, University of Rome "La Sapienza". Her work focuses on nonlinear systems, time-delay systems, and digital control with applications in biomedical systems and multi-agent networks. She has held editorial roles at the IMA Mathematical Control and Information Journal and IFAC World Congress, and served as Vice Chair for Education in IFAC Technical Committee Nonlinear Systems. B.Sc. and Ph.D. in Systems Engineering from University of Rome "La Sapienza" Research Interests: Her research spans geometric control theory for nonlinear systems, dynamic feedback linearization, and time-delay systems. Recent work includes deep learning applications for non-invasive medical diagnostics and consensus protocols for multi-agent systems with communication delays. Scientific Contributions: Her publications emphasize geometric methods for nonlinear control, integrability conditions, and observer design. Key themes include accessibility-observability duality, canonical forms, and applications to diabetic gastroparesis modeling. Best Paper Presentation Award at ACC 2010 Finalist for Best Poster at IFAC'96 Senior Member of Control Systems Society Editorial board member for IEEE and IFAC Teaching Roles: • Teaching Coordinator of Master's Degree in Emergency Engineering (2001-2013) • Courses taught: Systems Theory, Fundamentals of Automatic Control, Digital Control (in English)

Giuseppe Orioloمشاهده پروفایل

استاد

• Robotics
• Control Systems
• Autonomous Mobile Robots
• +۳ مورد دیگر

Giuseppe Oriolo is a Full Professor of Automatic Control and Robotics at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome, where he has been since 1994. He coordinates the DIAG Robotics Lab and has held teaching positions at the University of Siena, University of Cassino, and Roma Tre. Oriolo was a Visiting Scholar at the University of California, Santa Barbara, and serves on various editorial and program committees, including IEEE Transactions on Robotics and international conferences like ICRA and IROS. Education : Ph.D. in Systems Engineering (1992), Sapienza University of Rome His research focuses on robotics and control theory, particularly in robot control, motion planning, trajectory optimization, redundant robotic systems, control of underactuated systems, sensor-based localization, navigation for mobile robots, humanoid robots, and visual servoing. He has over 230 publications and contributes to advanced robotics frameworks. Recent publications highlight his work on Model Predictive Control (MPC) for humanoids and mobile robots, emphasizing robustness, singularity-free trajectories, and decentralized cooperation. His research addresses dynamic constraints, feasibility, and real-time adaptation in complex environments. Scientific Awards : 2017 IEEE Fellow, 2020 IEEE Robotics and Automation Magazine Best Paper Award, 2016 ANTS Best Paper Award, 2024 Human-Friendly Robotics Best Paper Award Oriolo's teaching includes Control Systems at Sapienza, with past roles in courses like Adaptive Systems, Nonholonomic Control, and Underactuated Robots. He has mentored numerous advisees through publications and lab activities. He leads the DIAG Robotics Lab, fostering innovation in humanoid robots, autonomous systems, and control theory.

Elena Umiliمشاهده پروفایل

استادیار

• Neurosymbolic AI
• Deep Learning
• Deep Reinforcement Learning
• +۳ مورد دیگر

Elena Umili is an Assistant Professor (RTD-A) at the Department of Computer, Control and Management Engineering (DIAG) of Sapienza University of Rome, specializing in Neurosymbolic AI research. Her work bridges deep learning with symbolic reasoning systems. She received her PhD in Engineering in Computer Science from Sapienza University of Rome in 2023 under the supervision of Prof. Giuseppe De Giacomo and Prof. Roberto Capobianco. Her doctoral thesis focused on 'Discovering Logical Knowledge in Non-Symbolic Domains'. Her research interests center on Neurosymbolic AI integration , particularly: Combining deep machine learning with symbolic reasoning Temporal logic specifications in neural systems Automata learning through neural relaxations Non-Markovian reinforcement learning tasks Visual grounding of logical specifications Analysis of her recent publications reveals a strong focus on neural-symbolic integration where she develops frameworks like DeepDFA and Neural Reward Machines. Her work consistently addresses the challenge of incorporating logical constraints into deep learning systems, with applications spanning robotics, sequence generation, and visual reasoning. The research demonstrates increasing sophistication in handling temporal logic specifications within neural architectures. She is an active member of research groups focused on Artificial Intelligence and Knowledge Representation, as well as Artificial Intelligence and Robotics at Sapienza University. While no formal advisees or major awards are currently documented in her public profile, her recent publications indicate significant contributions to the neurosymbolic AI field through top-tier conferences including ECAI, KR, and specialized workshops. Her work shows strong potential for future impact in bridging the gap between neural and symbolic AI paradigms.

Akshay Rajhansمشاهده پروفایل

پژوهشگر

• Cyber-Physical Systems
• Model-Based Design
• Formal Verification
• +۵ مورد دیگر

Akshay Rajhans is a Chief Research Scientist and Head of the Advanced Research & Technology Office at MathWorks . His work bridges technical computing, model-based design, and AI-enabled cyber-physical systems (CPS), with a focus on verification, simulation, and industrial applications. He holds a Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University (2013) and an M.S. in Electrical Engineering from University of Pennsylvania (2007).