جست‌وجوی استاد و پژوهشگر

Tao Pangمشاهده پروفایل

استاد

• Financial Mathematics
• Stochastic Control
• Probability
• +۴ مورد دیگر

Tao Pang is a Professor and Director of the Financial Mathematics Graduate Program at the Department of Mathematics, North Carolina State University (NC State). His academic role includes leading the Financial Mathematics program and contributing to the College of Sciences. He holds a Ph.D. in Applied Mathematics from Brown University (2002) and prior degrees from the University of Science and Technology of China (M.S. 1997, B.S. 1994). His research focuses on stochastic control, financial risk management, mathematical finance, and operations management. Notable contributions include work on portfolio optimization under uncertainty, green supply chain strategies, and risk modeling in financial markets. Professional credentials include Chartered Financial Analyst (CFA) and Financial Risk Manager (FRM) certifications. Education: Ph.D. in Applied Mathematics, Brown University, 2002 M.S. in Mathematics, University of Science and Technology of China, 1997 B.S. in Mathematics, University of Science and Technology of China, 1994 Research Interests: Dr. Pang’s work integrates stochastic processes, financial engineering, and operations research. Key areas include: - Portfolio optimization under rare-event risks and stochastic volatility - Green technology adoption in agricultural and industrial supply chains - Risk management of financial products such as guaranteed minimum benefits - Optimal strategies for capital-constrained supply chains under yield uncertainty. Professional Activities: Chartered Financial Analyst (CFA) Financial Risk Manager (FRM) Recent Work Trends: Recent publications emphasize applications of stochastic control to real-world problems like e-commerce supply chain dynamics, sustainable agricultural practices, and cryptocurrency risk modeling. His articles often combine theoretical frameworks with practical policy implications, such as government subsidy mechanisms for green technologies.

• Reactive Control Strategies
• Supervision and Prognosis
• Large Scale Systems
• +۱۱ مورد دیگر

Eric Duviella is a Professor at IMT Nord Europe, specifically within the Department of Automatic Control and Computer Sciences. He has been a permanent faculty member since 2007 and was promoted to full Professor in 2015. His academic affiliations include strong ties with the University of Lille, Universitat Politècnica de Catalunya, and the University of Seville through collaborative research and joint Ph.D. supervision. Education: Diplôme d'Ingénieur, Ecole Nationale d'Ingénieurs de Tarbes (ENIT), 2001 M.S., Institut National Polytechnique de Toulouse (INPT), 2001 Ph.D. in Industrial Systems, Institut National Polytechnique de Toulouse, 2005 HDR (Habilitation à Diriger des Recherches), University of Lille 1, 2014 His research interests center on Reactive Control Strategies , Supervision and Prognosis , and the Modeling of Large-Scale and Environmental Systems , particularly Hydrographical and Water Systems . His work aims at predictive maintenance, adaptive management under climate change, and improving navigation and water quality through advanced control techniques. The 15 most recent publications reflect a strong trend toward Model Predictive Control (MPC) , distributed and decentralized control architectures , leak detection in water networks , and resilience of inland waterways under climate stress . Keywords across these works include control engineering, water systems, fault diagnosis, and data-driven modeling, indicating a multidisciplinary approach combining automation, environmental science, and computational intelligence. Scientific Awards: Best paper award at CODIT 2017 Eric Duviella has actively supervised numerous Ph.D. and Master’s students from institutions including IMT Lille Douai, Universitat Politècnica de Catalunya, and the University of Seville. He has led significant research grants such as GEPET-Eau, CHEEF2, and CASTR-Eau, focusing on sustainable water management, hydropower optimization, and robotic monitoring. His work often involves partnerships with agencies like VNF, EDF, and local water authorities. He is involved in key research labs and teams including the Laboratoire d'Automatique, Génie Informatique et Signal (LAGIS), and collaborates internationally through mobility programs with UPC and the University of Seville. His leadership in organizing special sessions at major conferences (e.g., IFAC, HIC) underscores his role in shaping discourse in water system control and supervision.

Bo Bernhardssonمشاهده پروفایل

استاد

• Automatic Control
• Control Theory
• Modeling and Control of Uncertain Systems
• +۱۷ مورد دیگر

Bo Bernhardsson is a Professor in Automatic Control at the Department of Automatic Control, Faculty of Engineering (LTH), Lund University. He has been a full-time professor at Lund since 2010, following a decade (2001–2010) as an Expert in Mobile System Design and Optimization at Ericsson. He is affiliated with major research initiatives including ELLIIT (Excellence Center in Information Technology), LCCC (Lund Center for Control of Complex Engineering Systems), and WASP-AS (Wallenberg AI, Autonomous Systems and Software research school), where he has played a leadership role since 2016. His research focuses on modeling and control of uncertain and large-scale systems, with applications spanning industrial automation, mobile communications, particle accelerators, biomedical systems, and navigation technologies. He integrates theoretical control methods with practical implementations, particularly under constraints such as communication limitations, noise, and delays. His recent publications reveal a strong trend in networked control, communication-constrained estimation, and optimization-based control design. The works span theoretical advances in signal estimation under SNR constraints, event-based and stochastic control, and practical applications like IMU-radio fusion for navigation and RF field control in particle accelerators. Keywords include Control Theory, Communication Systems, Optimization, Signal Processing, and Networked Control , with subfields such as encoder-decoder co-design, virtual antenna arrays, and dynamic programming for time-delay systems. PhD in Control, Lund University, 1992 Professor in Automatic Control, Lund University, since 1999 Expert, Mobile Systems, Ericsson, 2001–2010 Bo Bernhardsson has supervised over 20 PhD and licentiate students, including Jacob Bergstedt (immune system modeling), Anders Mannesson (navigation and radio), and Erik Johannesson (control under communication constraints). His research has been funded by major entities such as the European Spallation Source and the Wallenberg Foundation. He teaches advanced courses in Linear Systems, Convex Optimization, and Robust Control, and has contributed significantly to both academic and industrial advancements in control engineering. He leads and collaborates on interdisciplinary projects involving real-time control, autonomous systems, and machine learning, often in partnership with industry and international research centers. His work in the RobotLab at LTH and on cloud-based control systems highlights his engagement with emerging technologies.

• Pulmonary Fibrosis
• Interstitial Lung Disease (ILD)
• Health Services Research
• +۷ مورد دیگر

Bhavika Kaul, MD, MAS is an Assistant Professor at the University of California, San Francisco (UCSF) Division of Pulmonary and Critical Care Medicine . She serves as an attending physician in the UCSF Interstitial Lung Disease (ILD) clinic , the Parnassus medical ICU, and the San Francisco Veterans Affairs pulmonary consult service. Education: MD (Baylor College of Medicine), Fellow/Chief Fellow Pulmonary and Critical Care (UCSF), Advanced Fellowship in Interstitial Lung Disease (UCSF), MAS in Clinical Research (UCSF) Her research focuses on health services and implementation science to redesign pulmonary care delivery systems, particularly for Veterans with pulmonary fibrosis . Key areas include: Timely ILD diagnosis Subspecialty care engagement Big data analysis for epidemiology of pulmonary fibrosis Novel informatics approaches to healthcare access Recent publications highlight her work in machine learning for diagnostic delays , global ILD prevalence variability, and health disparities in antifibrotic medication use . She has received prestigious awards including the American Society for Clinical Investigation's 2025 Young Physician-Scientist Award and National Academy of Medicine's Scholar in Diagnostic Excellence .

• Black Liquor Combustion
• Flame Envelope Dynamics
• Boiler Technology
• +۳ مورد دیگر

Paulo Santochi Pereira da Silva is a researcher at the Faculty of Science and Engineering at Åbo Akademi University. His work focuses on computational fluid dynamics (CFD) modeling and NOx emission control in industrial combustion processes. The Black Liquor Combustion fingerprint highlights his expertise in: Flame Envelope Dynamics Recovery Boiler Optimization NOx Formation Mechanisms Droplet Combustion Chemistry His research trends span 2017-2026, with a focus on CFD modeling and sustainable fuel technologies. Collaborations with Engblom, Hupa, and Brink have produced key publications on black liquor combustion and emission control.

Christos Papachristouمشاهده پروفایل

استاد

• Embedded Systems Design
• Parallel Computer Architectures
• Quantum Computing
• +۴ مورد دیگر

Christos Papachristou, PhD is a Professor in the Department of Electrical, Computer, and Systems Engineering at the Case School of Engineering , Case Western Reserve University. His academic career spans over four decades since earning his PhD in Electrical Engineering & Computer Science from Johns Hopkins University in 1975. Prof. Papachristou's research focuses on Embedded Systems Design , Quantum Computing Architectures , Reconfigurable Systems/FPGAs , and Hardware Security . His work addresses critical challenges in fault-tolerant systems , secure system design , and high-level synthesis . Notable contributions include innovations in radiation-hardened SRAM designs , hardware trojan detection , and quantum computing infrastructure . Key Achievements: Recipient of the Albert Nelson Marquis Lifetime Achievement Award (2019) IEEE Best Paper Award for Cognitive Communications for Aerospace Applications (2019) Invited NATO Summer School Lecturer (2008) in Spain/UK and Cleveland His publications reflect expertise in circuit reliability , embedded system security , and quantum computing . Recent work emphasizes electromigration mitigation and reconfigurable architecture kernels . Prof. Papachristou collaborates extensively on projects funded by NSF, DoD, and industry partners. Teaching specialties include Parallel Computer Architectures , Configurable Devices , and Quantum Computing , reflecting his dual focus on theoretical innovation and practical implementation in advanced technologies.

Omar AL-Buraikiمشاهده پروفایل

استاد

• AI/ML Robotic Vision
• Autonomous Systems
• Automatic Control
• +۵ مورد دیگر

Omar AL-Buraiki is a Professor in the Department of Mechanical and Mechatronics Engineering at the University of Waterloo. He specializes in Robotics Automation, Machine Intelligence Algorithms, and Autonomous Systems, with over 12 years of research experience across Canadian and international institutions. His work focuses on developing industrially oriented solutions for defense, robotics, and telecommunications sectors. Education: Ph.D., Electrical and Computer Engineering, University of Ottawa M.A.Sc., Systems Engineering, King Fahad University B.Sc., Electronics and Communications Engineering, Hadhramout University Research Interests: His research spans AI/ML Robotic Vision, Autonomous Systems, Automatic Control, Intelligent Automation, and Multi-Robot Coordination. He has pioneered nonlinear control systems, task allocation algorithms, and machine learning-driven robotic vision solutions, notably through his leadership of the SMART Lab during his PhD. Publications & Trends: His 20+ publications emphasize probabilistic task allocation, sensor fusion, and adaptive control in robotics. Recent work (2023–2025) focuses on slip-compensated visual-inertial odometry and heterogeneous robotic systems under actuator delays. Earlier papers (2016–2020) established foundational methods for specialized agent task assignment in swarm robotics. Achievements: Secured a USPTO patent for robotics automation technology Over 20 peer-reviewed articles and 12+ conference presentations Teaching & Advising: Instructor for courses on control systems, robotics, and AI-based vision at both undergraduate and postgraduate levels Developed specialized courses like Autonomous Vehicles Navigation and Control Labs & Teams: Former leader of the SMART Lab (University of Ottawa), currently active in robotics research at the University of Waterloo’s Mechanical and Mechatronics Engineering Department.

Mustapha S. Fofanaمشاهده پروفایل

دانشیار

• Nonlinear Machine-Tool Chatter
• Manufacturing Systems
• Time Delay Dynamics and Control
• +۳ مورد دیگر

Mustapha S. Fofana is an Associate Professor in the Department of Mechanical & Materials Engineering at Worcester Polytechnic Institute (WPI). He holds a BS and MS from the Technical University of Budapest (1986), followed by an MS (1989) and PhD (1993) from the University of Waterloo. His research focuses on nonlinear dynamics in manufacturing processes, including machine-tool chatter, time delay systems, and stochastic modeling. He is affiliated with WPI’s Higgins Labs and can be reached at msfofana@wpi.edu. Education: BS, Technical University of Budapest (1986) MS, Technical University of Budapest (1986) MS, University of Waterloo (1989) PhD, University of Waterloo (1993) Research Interests: Prof. Fofana explores advanced topics in manufacturing dynamics, including nonlinear machine-tool chatter mechanisms, time-delay control strategies for manufacturing systems, and stochastic analysis of machining processes. His work integrates delay differential equations and degenerate Hopf bifurcation theories to improve manufacturing health monitoring and process stability. Publications: His notable work includes analyzing nonlinear effects in orthogonal turning operations (2002) and ongoing research on deterministically and stochastically perturbed systems under review in engineering journals. He also investigates parametric software integration into computer-aided manufacturing (CAM) environments. Awards & Professional Highlights: No specific awards or professional highlights are listed in the provided text. Labs & Teams: Affiliated with Higgins Labs at WPI, though specific lab teams or collaborative projects are not detailed here.

Miljana L. Milićمشاهده پروفایل

استاد

• Electronics
• VLSI Design
• Analog and Digital Circuit Diagnosis
• +۷ مورد دیگر

Miljana L. Milić is a Full Professor at the Faculty of Electronics, University of Niš, Serbia, Department of Electronics. She has been an integral part of this institution since earning her degrees and advancing through academic ranks, culminating in her appointment as full professor in 2024. Education: PhD in Electronics, Faculty of Electronics, University of Niš (2009) Master’s in Electronics, Faculty of Electronics, University of Niš (2005) Bachelor’s in Electronics, Faculty of Electronics, University of Niš (2001) Her research interests span a broad spectrum of electronics engineering, with emphasis on VLSI design, analog and digital circuit diagnosis, cryptographic hardware security, timing analysis under aging, and performance optimization in neural prediction systems. She applies simulation, statistical methods, and AI techniques to solve complex problems in electronic systems design and reliability. The analysis of her recent publications reveals a strong focus on hardware-level innovation, including secure cryptographic cells, fault diagnosis in analog circuits, performance modeling under fading and shadowing, and timing degradation in VLSI systems. Her work bridges theoretical analysis with practical implementation in electronic design and communication systems. She leads the Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems, and is currently involved in one national research project. Her contributions include over 10 journal publications in high-impact venues. Scientific Contributions: Head of Laboratory for Design of Electronic Processes, Circuits and Automatic Control Systems Active participant in national research projects Author/co-author of 10+ journal papers with impact factor She mentors students through research supervision and contributes to academic leadership within her department. Her work continues to influence both academic research and practical applications in electronic systems engineering.

• Urban Planning
• Local Governance
• Neighborhood Planning
• +۳ مورد دیگر

Professor Gavin Parker is a prominent academic in urban and rural planning at the University of Reading's Henley Business School, specializing in Real Estate & Planning. He focuses on neighborhood planning, local governance, and the intersection of policy, ethics, and community engagement. His work critically examines institutional dynamics, temporal aspects of planning, and neoliberal influences on urban development. He has contributed to over 140 publications, including peer-reviewed articles and books on topics like participatory planning, rural policy, and planning education. Notable contributions include analyzing neighborhood planning's role in England, the moral economy of localism, and the temporal governance of planning systems. His research often bridges academic theory with practical policy implications, emphasizing equity, sustainability, and democratic participation. Parker's recent work explores 'timescapes' in planning, the politicization of time in urban governance, and the commodification of biodiversity through ecological consultants. He co-authored influential books such as Rural Planning Futures and Slow Planning?: Timescapes, Power and Democracy , advocating for reflexive lifelong learning in planning practice. His interdisciplinary approach addresses challenges in community-led planning, public involvement, and the evolving role of consultants in the planning system. Parker actively engages with policy debates, producing reports on rural planning, neighborhood development, and the impacts of localism policies.

• Control Systems
• Robotics
• Haptics
• +۸ مورد دیگر

Abdurrahman Eray Baran is an Assistant Professor in the Department of Mechatronics Engineering at Istanbul Bilgi University, College of Engineering, where he has been serving since February 2016. He holds a Ph.D., M.Sc., and B.Sc. in Mechatronics Engineering from Sabanci University, completed between 2003 and 2014. His academic journey includes roles as a Post-Doctoral Research Fellow and Research & Teaching Assistant at Sabanci University prior to his current appointment. B.Sc. Mechatronics Engineering, Sabanci University (2003–2008) M.Sc. Mechatronics Engineering, Sabanci University (2008–2010) Ph.D. Mechatronics Engineering, Sabanci University (2011–2014) Dr. Baran's research focuses on advanced control and robotic systems, with core interests in Advanced Motion Control , Haptic and Bilateral Control , Teleoperation , Novel State Estimation Techniques , Control Systems with Time Delay , Micromanipulation & Microrobotics , High Precision Machining Systems , Medical Robotic Systems , and Vision Based Control . His work bridges theoretical control design with practical applications in high-precision and medical robotics. No recent publications are listed in the provided text, so no article trends can be analyzed. No scientific awards or honors are mentioned in the available information. There is no information provided regarding student advisement, research grants, laboratory affiliations, or collaborative teams.

Heidi Jane Welberryمشاهده پروفایل

مدرس

• dementia
• aged care
• health services research
• +۵ مورد دیگر

Dr. Heidi Jane Welberry is a Lecturer specializing in data science and biostatistics at the Centre for Big Data Research in Health and the Centre for Healthy Brain Ageing (CHeBA) at the University of New South Wales, Faculty of Medicine & Health. She collaborates extensively with Neuroscience Research Australia (NeuRa) on projects related to dementia prevention and care. Dr. Welberry's research focuses on epidemiology, aged care, health services research, and biostatistics, with particular expertise in using large-scale administrative datasets for health services research. Her work addresses critical questions in dementia prevention, dementia care, aged care, primary care, and care transitions over time. She employs advanced data science techniques to quantify population risks for dementia and improve understanding of care pathways. Her publication record includes 22 journal articles, 1 book chapter, 2 conference posters, 4 conference presentations, 9 conference abstracts, 2 reports, and 1 preprint. Her research demonstrates a strong trend toward using big data methodologies to address complex questions in dementia epidemiology and health services research, with increasing emphasis on machine learning approaches and cross-sectoral data linkage. Dr. Welberry's scientific contributions focus on improving dementia care through evidence-based approaches, with particular attention to care transitions, regional disparities in care access, and early detection methods in primary care settings. She works collaboratively across multiple research centers, bringing together expertise in data science, epidemiology, and clinical care to address pressing challenges in dementia prevention and care. Her work bridges the gap between complex data analysis and practical healthcare applications, aiming to translate research findings into improved care pathways and health outcomes for people with dementia.

Juliet N. Sekandiمشاهده پروفایل

دانشیار

• Tuberculosis
• HIV/AIDS
• Health Service Research
• +۳ مورد دیگر

Dr. Juliet N. Sekandi is an Associate Professor in the Department of Epidemiology and Biostatistics and Director of the Global Health Institute at the University of Georgia's College of Public Health. She holds full-time roles as Graduate Coordinator for the Certificate in Global Health and leads the Global Health Institute. Her expertise spans tuberculosis (TB), HIV/AIDS, maternal health, and mobile health (mHealth) innovations. Education: M.D./Surgery, Mbarara University of Science and Technology (Uganda) M.Sc., Case Western Reserve University (USA) DrPH, University of Georgia Research Focus: Dr. Sekandi's work emphasizes early TB/HIV detection in Ugandan communities and leveraging mHealth to improve healthcare access in low-resource settings. Key themes include diagnostic delays, stigma reduction, and telemedicine adoption. She pioneers AI-driven solutions for medication adherence (e.g., AdCare-VLM) and evaluates mHealth interventions like DOT Selfie. Grants & Collaborations: Active in global health partnerships, her research addresses TB-HIV coinfection, social determinants of health, and refugee health in slums. She engages in policy advocacy to link poverty reduction with TB eradication efforts. Labs/Teams: Leads the Global Health Institute, fostering interdisciplinary approaches to global health challenges through research, training, and community engagement.

Abdallah Bradjiمشاهده پروفایل

استاد

• Finite Volume Methods
• Finite Element Methods
• Gradient Schemes
• +۵ مورد دیگر

Abdallah Bradji is a Full Professor at Annaba University, Algeria since 2015, and holds a French Habilitation (HDR) in Mathematics. He is an associated member of LAGA (Laboratoire d'Analyse, Géométrie, et Applications) at Sorbonne University-Paris Nord and collaborates with international institutions like WIAS (Berlin) and the Nečas Center (Prague). His research focuses on numerical analysis of partial differential equations, specializing in Finite Volume Methods, Finite Element Methods, and Gradient Schemes. Education: PhD in Applied Mathematics from Aix-Marseille University (2005), Postdoc at WIAS Berlin (2006-2007) and Nečas Center Prague (2007-2008). Research Interests: Numerical schemes for hyperbolic/parabolic equations, fractional PDEs, non-Newtonian fluids, and convergence analysis of discretization methods. Recent work includes studies on super-convergence results for mixed finite elements, fractional diffusion equations, and oblique boundary value problems. He has presented at conferences like ICIAM 2023 (Tokyo), FVCA10 2023 (Strasbourg), and NMA 2022 (Bulgaria). Bradji collaborates with researchers such as Fayssal Benkhaldoun and Jürgen Fuhrmann, focusing on fluid dynamics and computational mathematics. His labs include LAGA and the I2M laboratory at Aix-Marseille University.

Ralf Kundelمشاهده پروفایل

استاد

• Hardware Acceleration
• FPGAs and P4
• Network Intrusion Detection Systems
• +۳ مورد دیگر

Ralf Kundel is a Professor of Computer Science at the University of Applied Sciences Darmstadt, Germany. He holds a Ph.D. (2022) and dual M.Sc./B.Sc. degrees (2015-2017) from TU Darmstadt. His research focuses on network programmability, hardware acceleration using FPGAs and P4-programmable switches, Quality of Service (QoS), Time Sensitive Networking (TSN), and Network Intrusion Detection Systems (NIDS). He leads the Adaptive Communication Group (ACS) since 2021, emphasizing network data plane programmability. Key projects include BMWK's Real Lab Drive 4.0 (TSN in industrial networks), Deutsche Telekom's Dynamic Networks (SDN and FPGA-based carrier networks), and BMBF initiatives like Open 6G Hub (disaggregated O-RAN architectures) and AI-NET-PROTECT (machine learning for network security). He contributed to open-source frameworks like P4-UPF (5G UPF implementation), P4-CoDel (AQM), and P4STA (network testing). Publications span over 25 peer-reviewed works and five patent applications, with recent focus on high-performance network evaluation and programmable hardware applications.