Find Academic Supervisors

Juniper LovatoView profile

Assistant Professor

• Data Ethics
• Complex Systems
• Networks
• +7 more

Juniper Lovato is an Assistant Professor in the Department of Computer Science at the University of Vermont, affiliated with the Vermont Complex Systems Center and the Vermont Complex Systems Institute. Her research focuses on data ethics, fairness, transparency, the science of stories, and open-source ecosystems, integrating computational social science, complex systems, and network analysis. She co-leads the EPSCoR Track-1 award (SOCKS) on story science and directs VERSO, an open-source initiative funded by the Sloan Foundation. Education: PhD in Complex Systems & Data Science (UVM), MALA in Classics (St. John’s College). Previously directed education at the Santa Fe Institute. Community roles include founding the Vermont Computer Science Alliance, a K-12 teacher licensure program, and Make Santa Fe makerspace. She has developed over 80 global STEM programs and serves on boards of the Network Science Society and Northeast Complex Systems Society. Research interests span multi-scale data ethics, applied ethical philosophy, group privacy, and digital humanities. Recent work addresses wearable health data ethics, AI art transparency, and network governance models. Her grants include major funding in computational social science and open-source infrastructure. Publications emphasize interdisciplinary approaches to societal challenges, including mental health tracking via wearables, misinformation dynamics, and the ethical implications of emerging technologies. While no formal awards are listed, her leadership roles and grant achievements highlight her impact in complex systems and education innovation.

Thomas PeitzmannView profile

Professor

• Particle Physics
• High-Energy Physics
• Nuclear Physics
• +4 more

Prof. Thomas Peitzmann is a Professor of Physics at Utrecht University's Faculty of Science, affiliated with the Gravitational and Subatomic Physics (GRASP) department. His research focuses on experimental high-energy physics, particularly studying elementary particles at CERN’s LHC and BNL’s RHIC, investigating quark-gluon plasma and color-glass condensate phenomena. He has held the prestigious 'Hottest Researcher' title (1st place globally, 2006-2007) and is a Scholar of the 'Studienstiftung des deutschen Volkes'. Key research themes include particle production dynamics in heavy-ion collisions (Pb-Pb, p-Pb) and proton-proton interactions, with a focus on jet quenching, strangeness enhancement, and collective phenomena. His work leverages the ALICE detector at the LHC to explore fundamental questions in QCD and relativistic heavy-ion physics. Peitzmann has contributed to over 690 publications and delivered invited talks at major institutions including CERN and Heidelberg University. He teaches courses such as Particle Physics 1/2 and Electrodynamics, and his research has been recognized through grants and collaborations with international teams like the ALICE collaboration. Teaching: Courses include Particle Physics 1/2, Electrodynamics Labs/Teams: Lead researcher in ALICE Collaboration, GRASP department

Kamyar MehranView profile

Senior Lecturer

• Power Electronics
• Energy Storage Systems
• AI-Based System Modelling and Control
• +7 more

Dr. Kamyar Mehran is a Senior Lecturer in Electrical Power Engineering at the School of Electronic Engineering and Computer Science , Queen Mary University of London , and the founder of the Real-Time Power and Control Systems (RPCS) laboratory. His research spans advanced control and condition monitoring for silicon carbide (SiC)-based power electronics, microgrids, lithium-ion battery systems, and electric/hybrid marine powertrains. Key Research Areas: Power Electronics, Cyber-Physical Systems (CPS), AI-Based Control, Energy Storage, Microgrid Stability, and Battery Management Systems. Notable Projects: Lead UK/Thailand collaborations on wave-powered microgrids for remote islands, EPSRC-funded distributed control of microgrids, and Innovate UK Energy Catalyst grants. Technical Expertise: Hardware-in-the-loop (HIL) simulation, rapid control prototyping (RCP), wireless sensing technologies, and multi-sensory fusion algorithms. Publications focus on distributed control strategies, AI-driven energy management, and SiC MOSFET reliability. His work integrates theoretical advancements (e.g., polynomial fuzzy control systems) with practical applications in renewable energy and electric vehicles.

• Battery Technology
• Electrical Engineering
• IoT and Sensor Networks
• +3 more

Mehrnaz Javadipour is a Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science. Her research focuses on battery management systems for electric vehicles (EVs), IoT-enabled microgrid monitoring, and advanced numerical methods for electrochemical models. She specializes in integrating sensor data with machine learning and control systems to improve energy storage and distribution efficiency. Her work combines electrochemical modeling with thermal and magnetic field analysis to predict battery ageing and optimize performance. Recent studies include distributed privacy-preserving control in IoT networks and real-time state-of-health estimation for lithium-ion cells. She also explores IoT infrastructure for rural microgrid situational awareness, emphasizing robust state estimation algorithms and event-triggered control mechanisms. Publications span topics like current density imaging, root-finding algorithms for battery models, and simulation-driven monitoring. Her research bridges electrical engineering, data science, and control systems to address challenges in sustainable energy technologies.

Saeed AhmedView profile

Assistant Professor

• Feedback Optimization
• Nonlinear Control Systems
• Robust Control
• +2 more

Saeed Ahmed is a Tenure Track Assistant Professor of Systems and Control at the University of Groningen, affiliated with the Engineering and Technology Institute Groningen (ENTEG) and the Jan C. Willems Center for Systems and Control. Research Interests: His work develops intelligent control algorithms for autonomous vehicles, energy systems, and medical devices. Core theoretical interests include: Feedback optimization strategies Nonlinear and hybrid system stability Robust control under uncertainty Time-delay system analysis His publications reveal strong focus on predictive control for energy networks (especially district heating), stability analysis of hybrid systems, and observer design for complex nonlinear systems. Recent work emphasizes distributed control solutions with practical constraints. Professional Activities: Associate Editor for Systems and Control Letters and member of IFAC Technical Committees on Nonlinear Control Systems and Networked Systems. Teaches courses in Mechatronics, Complex Networks, and Control Theory.

• Dermatology
• Skin Cancer Research
• Autoimmune Skin Disorders
• +3 more

Binh Ngo, MD is a Clinical Professor of Dermatology at the University of Southern California (USC) . His clinical and research focus spans autoimmune skin disorders, skin cancer surveillance in transplant recipients, and health disparities in dermatology. Recent work highlights global pemphigus studies, melanoma gene expression profiling, and pandemic-era healthcare adaptations. Key Research Interests: Pemphigus pathogenesis and epidemiology Skin cancer risk in immunosuppressed populations Dermatologic manifestations of systemic diseases Health equity in academic dermatology Recent Publication Trends include: Autoimmune skin conditions post-transplantation Racial disparities in dermatologic care Cutaneous responses to viral infections Microvascular abnormalities in diabetes and CKD Metallodermatitis and drug-induced skin reactions His work bridges clinical dermatology, translational research, and public health policy.

Ran LiView profile

Associate Professor

• Corporate Finance
• Corporate Governance
• Banking
• +3 more

Ran Li is an Associate Professor at the Department of Physics, Kent State University. He holds a Ph.D. from Southern Illinois University (2007). His research focuses on corporate governance, banking practices, financial market dynamics, and strategic firm behaviors. Key themes in his work include board structure effectiveness, director networks, index fund impacts, and dual-class equity structures. Research interests span corporate finance, political connections in lending, innovation incentives tied to equity structures, and systemic risk analysis. His work frequently examines how institutional frameworks influence firm value and market outcomes through lenses like credit spreads, CDS markets, and S&P 500 index revisions. Recent publications explore topics such as loan syndication dynamics, director award impacts on board efficacy, and the role of political ties in banking operations. Over time, his research has evolved to address both micro-level board decisions and macro-level market impacts of index fund activities. No academic awards or grants are explicitly mentioned in the provided materials. No advisee information is available. Ran Li’s work often intersects with business strategy and financial regulation, though his affiliation with the Physics department suggests potential multidisciplinary research collaborations or a possible institutional classification discrepancy.

Amr Alanwar AbdelhafezView profile

Adjunct Professor

• Cyber-Physical Systems (CPS)
• Privacy-Preserving Techniques
• Reachability Analysis
• +5 more

Amr Alanwar Abdelhafez is an Adjunct Professor of Computer Science at Constructor University Bremen’s School of Computer Science & Engineering. Previously, he held Assistant Professor roles at Technical University of Munich (Heilbronn Campus) and Jacobs University Bremen. His research focuses on Cyber-Physical Systems (CPS), emphasizing safety, privacy, and formal verification. He earned his Ph.D. from TU Munich’s Cyber-Physical Systems Group (2020), with prior roles including postdoc at KTH Royal Institute of Technology and research positions at UCLA and University of Waterloo. Education: Ph.D. in Cyber-Physical Systems, Technical University of Munich (2015–2020) M.Sc. in Engineering Science (Protection and Detection Hardware Trojan), Ain Shams University (2010–2013) B.Sc. in Computer and Control Systems Engineering, Ain Shams University (2005–2010) Research Interests: His work bridges theoretical foundations and practical applications in CPS, including privacy-preserving state estimation, resilient control systems, reachability analysis, and formal verification for autonomous systems. He develops methods to ensure safety and privacy in distributed systems, leveraging tools like zonotopes and homomorphic encryption. Key Contributions: Developed logical zonotopes for efficient representation of discrete systems. Advanced event-triggered control and diffusion strategies for distributed systems. Pioneered privacy-preserving techniques (e.g., CryptoImg, PrOLoc) using homomorphic encryption. Contributed to safety-critical applications like autonomous vehicle situational awareness and secure sensor networks. Awards & Recognition: Best Demonstration Paper Award at IPSN/CPSWeek 2017 Qualcomm Innovation Fellowship finalist (2017 and 2018) First place in TUM Graduate School Competition (2019) Grants & Industry Links: His work is supported by collaborations with institutions like IBM and JetBrains, and his open-source tools (e.g., Event-Triggered Diffusion Kalman Filters, Logical-Zonotope repository) are widely used in CPS research. Labs & Teams: Leads research on CPS safety and privacy at TU Munich, with active contributions to Constructor University’s CPS initiatives and GitHub repositories showcasing implementations of his methodologies.

Alain d'AstousView profile

Professor

• Consumer Behavior
• Marketing Research
• Country of Origin Effects
• +3 more

Alain d'Astous is an Honorary Professor in the Department of Marketing at HEC Montréal. He is affiliated with the Carmelle and Rémi Marcoux Chair in Arts Management and the Groupe de recherche sur le marketing des arts (Arts Marketing Research Group). His expertise spans consumer behavior, marketing research, and the influence of a product's country of origin. He holds an M.Sc. in Marketing from Université de Sherbrooke and a Ph.D. in Business Administration from the University of Florida. His research focuses on sponsorship effectiveness, arts marketing, and consumer well-being. Notably, he co-directed the 2020 PhD dissertation titled *Le rôle de la continuité et de la discontinuité dans la transmission culturelle* with François Colbert. His work has explored topics such as country image effects, consumer reactions to premium promotions, and the psychological mechanisms behind consumption desires. Key contributions include studies on the impact of sponsorship clutter, the role of legitimacy in social sponsorships, and the interplay between voluntary simplicity and consumer satisfaction. His articles frequently address cross-cultural marketing dynamics, global market segmentation, and ethical consumption behaviors. He maintains a lab within the arts management chair and collaborates on projects involving experimental marketing research. While no specific grants or labs are detailed, his affiliations suggest active involvement in interdisciplinary initiatives.

Antoine GIRARDView profile

Researcher

• Hybrid Systems
• Control Systems
• Cyber-Physical Systems
• +3 more

Antoine GIRARD is a Senior Researcher at CNRS and a member of the Laboratory of Signals and Systems (L2S) at CentraleSupélec, Université Paris-Saclay. He co-chairs the Master program in Control, Signal and Image Processing (Master ATSI) at Université Paris-Saclay. His research focuses on hybrid systems analysis and control, emphasizing computational methods, formal verification, and applications to cyber-physical systems. He has contributed to symbolic control, switched systems stability, and model predictive control. His work spans theoretical foundations and practical implementations, with applications in autonomous systems, networked control, and robotics. Education includes a HDR (2013) and PhD (2004) from Institut National Polytechnique de Grenoble and CentraleSupélec. His affiliations include collaborations with institutions like L2S and involvement in projects such as COMEDY, MODESTY, and SYCOMORE. He is active in conferences like ECC, CDC, and HSCC, and his research addresses challenges in control systems under computational/communication constraints.

Cameron NowzariView profile

Associate Professor

• Robotics
• Dynamics and Controls
• Multi-robot Systems
• +7 more

Cameron Nowzari is an Associate Professor in the Department of Electrical and Computer Engineering at George Mason University. He earned his B.S. in Mechanical Engineering from the University of California, Santa Barbara (2009), and his Ph.D. in Engineering Sciences from the University of California, San Diego (2013). His research focuses on dynamics, controls, and robotics, with an emphasis on distributed and networked systems, including swarm robotics and epidemic control. Notable achievements include the 2021 ONR YIP Award and multiple best paper awards. His work spans applications in robotics, public health, and cyber-physical systems. Education: PhD, Engineering Sciences, University of California, San Diego (2013) MS, Engineering Sciences, University of California, Santa Barbara (2010) BS, Mechanical Engineering, University of California, Santa Barbara (2009) Research Interests: Multi-robot systems and swarm robotics Analysis/control of networked spreading processes Energy-efficient distributed algorithms Applications in epidemiology, IoT security, and autonomous systems His recent work includes developing swarm robotics for competitions like Defend the Republic, advancing event-triggered control strategies, and modeling epidemic processes. He has advised over a dozen students and holds editorial roles in journals like Nonlinear Analysis: Hybrid Systems . Awards highlight contributions to distributed control and robotics: 2021 ONR YIP Award 2019 ICDM Best Paper Award 2018 IEEE Control Systems Magazine Best Paper Award Teaching includes courses on nonlinear systems, modern control, and network control, reflecting his expertise in both theory and application.

Sarah GreenView profile

Professor

• Materials Engineering
• Sustainable Materials
• Materials Failure
• +2 more

Sarah Green is Professor of Materials Engineering and Head of the Mechanical and Construction Engineering Department at Northumbria University. She holds a B.S. in Ceramics and Glasses from the University of Sheffield, Ph.D. in Materials Engineering from the University of Nottingham, and postgraduate teaching qualification from Durham University. Her research focuses on sustainable materials use, materials failure analysis, and development of novel composites from recycled materials. With extensive leadership experience, Professor Green previously held positions at Durham University, University of Cumbria, and Lancaster University where she served as inaugural Head of the School of Engineering. She is a Chartered Engineer, Chartered Environmentalist, and Fellow of the Institute of Materials, Minerals and Mining (IOM3), serving on their Academic and Professional Formation Committee. Her research portfolio includes sustainable material development using waste streams, failure analysis of engineering components, and applications of recycled composites in construction. Recent projects span nuclear materials characterization, wind data collection using UAV platforms, and cyber-physical system security. She has supervised over 60 Masters and PhD projects with funding from UKRI, EPSRC, ERDF, and industry partners including Ceres Power, Biomet, and Morgan Matroc.

Radmila ChoateView profile

Assistant Professor

• Epidemiology
• Pulmonary Medicine
• Chronic Lung Diseases
• +4 more

Radmila Choate, PhD, MPH, is an Assistant Research Professor in the Department of Epidemiology and Environmental Health at the University of Kentucky, affiliated with the Sanders-Brown Center on Aging. Her research focuses on epidemiological and clinical studies of chronic respiratory diseases, particularly COPD, bronchiectasis, and alpha-1 antitrypsin deficiency-associated lung disorders. She leads projects analyzing large-scale registries such as the US Bronchiectasis and NTM Research Registry to evaluate disease progression, treatment efficacy, and health disparities. Her work explores the impact of comorbidities like cardiovascular disease and obesity on respiratory outcomes, as well as the socioeconomic determinants of healthcare access for marginalized populations. Key topics include bronchiectasis exacerbations, NTM infections, and financial toxicity in chronic disease management. Dr. Choate’s studies often incorporate longitudinal data and patient-reported outcomes to inform clinical guidelines and public health strategies. She has collaborated on projects addressing gender-specific health experiences, racial disparities in pancreatic disorders, and the role of airway clearance therapies in bronchiectasis. Her research emphasizes translating epidemiological insights into actionable interventions to improve patient care and reduce health inequities.

Traian TULBUREView profile

Lecturer

• Very Large Scale Integrated Circuits
• Digital Electronics
• Microelectronics
• +4 more

Traian TULBURE is a Lecturer at the Department of Electronics and Computers within the Faculty of Electrical Engineering and Computer Science at the Technical University of Brașov. His research focuses on Very Large Scale Integrated Circuits, Digital Electronics, and reconfigurable architectures for structured ASIC technology. He has contributed to significant projects including the ATLAS experiment at CERN, particularly in developing readout controllers for muon spectrometers. Key research interests include optimizing testability in dynamic reconfigurable CPLD architectures and advancing structured ASIC applications. His work bridges microelectronics innovation with high-energy physics instrumentation, demonstrated through collaborations on particle detector systems. Publications emphasize both theoretical advancements (e.g., dynamic reconfiguration methodologies) and applied contributions to large-scale physics experiments. No scientific awards are explicitly mentioned, though his involvement in international collaborations like ATLAS highlights his professional standing. Advising activities and grant details are not detailed in the provided text. He has contributed to detector hardware development for the ATLAS New Small Wheel upgrade, reflecting his role in experimental physics instrumentation.

Ishfaq HussainView profile

Lecturer

• Energy Optimization
• Reconfigurable MPSoC Architectures
• Embedded Systems
• +3 more

Ishfaq Hussain is a Lecturer at the University of Sargodha and a visiting researcher at Emwi-Tech. He holds a Master's degree in Electrical and Electronics Engineering from HITEC University, Pakistan, with over 4.5 years of experience in embedded systems and artificial intelligence development. His research focuses on energy/performance optimization in reconfigurable MPSoC architectures, mixed-criticality systems, and real-time scheduling algorithms. Education: Masters in Electrical and Electronics Engineering, HITEC University, Pakistan Research Interests: Energy-efficient embedded systems, reconfigurable computing, real-time systems, and mixed-criticality scheduling. He has contributed to frameworks for WCRT analysis in multiframe systems and energy-aware MPSoC modeling using fuzzy logic. Grants & Awards: Recipient of a research grant from the National ICT R&D Fund Outstanding Paper Award at RTNS 2019 Events & Talks: Speaker at CISTER's Seminar Series (2018, 2020), presenting on multicore processor platforms and mixed-criticality systems Participant at WFCS 2022, ICESS 2021, RTNS 2019 Affiliations: Active in the CISTER Research Centre and associated with Emwi-Tech through visiting research collaborations.