Find Academic Supervisors

• Optimization under Uncertainty
• Stochastic Programming
• Risk Analysis
• +6 more

Giovanni Pantuso is an Associate Professor at the Department of Mathematical Sciences, University of Copenhagen, specializing in stochastic programming and optimization under uncertainty . His work bridges mathematical methods with practical applications in transportation, logistics, and production planning. Education : PhD in Operations Analysis from the Norwegian University of Science and Technology (Feb 2014) Research Focus : Developing mathematical frameworks for decision-making under risk, with applications to maritime fleet renewal, car-sharing systems, and ride-sharing logistics. Teaching : Courses in Advanced Operations Research: Stochastic Programming, Risk Optimization, and Introduction to Numerical Analysis. His methodological contributions include novel algorithms for stochastic programming and decomposition methods, while applied work spans electric car-sharing systems, first-mile transportation challenges, and production planning under uncertainty. Current research explores dynamic fleet management and cost-service tradeoffs in shared mobility.

Keith DeckerView profile

Associate Professor

• Multi-Agent Systems
• Artificial Intelligence
• Distributed Artificial Intelligence
• +9 more

Keith Decker is an Associate Professor and JPMorgan Chase Fellow in the Department of Computer and Information Sciences at the University of Delaware's College of Engineering. He holds multiple affiliated faculty positions at the Artificial Intelligence Center of Excellence, Data Science Institute, Center for Bioinformatics and Computational Biology, and Institute for Financial Service Analytics. His research spans several key areas of computer science with a focus on Multi-Agent Systems , Distributed Artificial Intelligence , Computational Organization Design , and Bioinformatics . His work bridges theoretical foundations with practical applications in finance, healthcare, and information systems. Dr. Decker's publications reflect trends in distributed AI with emphasis on coordination technologies, agent communication, and information gathering systems. His work has evolved from foundational multi-agent coordination theory to applications in bioinformatics, financial services, and health informatics. DARPA special recognition award for foundational research in coordination technologies Dr. Decker has advised numerous graduate students and led significant research projects including automated genetic annotation, coalition management for electric vehicle-to-grid power systems, and machine learning for automated health coaching. His interdisciplinary work demonstrates strong connections between theoretical AI research and practical applications across multiple domains. He maintains active leadership roles in the academic community, having served as program co-chair for the International Conference on Autonomous Agents and Multi-Agent Systems and other major AI workshops.

Ahmed F AbdelghanyView profile

Professor

• Commercial Airlines
• Airports
• Big Data Cloud Computing
• +7 more

Dr. Ahmed F. Abdelghany is the Associate Dean for Research and Professor of Operations Management at the David O'Maley College of Business, Embry-Riddle Aeronautical University, since January 2006. He specializes in commercial airlines, airports, big data cloud computing, business analytics, and operations research models. Prior to his academic career, Dr. Abdelghany worked in enterprise optimization at United Airlines, Chicago. Education: Ph.D. in Civil Engineering (Transportation Systems) from the University of Texas at Austin (2001) Dr. Abdelghany’s research focuses on airline network planning, flight scheduling, simulation of complex transportation systems, and NextGen air traffic management. He has authored two influential books: Modeling Applications in the Airline Industry (Routledge 2010) and Airline Network Planning and Scheduling (Wiley 2018). His publications analyze airline operations, competitive dynamics, and crowd management in transportation facilities. He teaches courses like Airline Management (BA 315) and Airline Operations & Mgmnt (BA 609), and participates in industry short courses. Dr. Abdelghany contributes to research projects such as NextGen air traffic implementation, integrated airport initiatives, and benefit-cost analysis of arrival management systems. His work bridges academic theory with real-world airline and transportation challenges.

• Multicore Computing
• Virtualization
• Cloud Computing
• +4 more

Xiaoning Ding is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). His research focuses on virtualization, multicore computing, cloud infrastructure optimization, and mobile systems. He leads projects addressing challenges in nested virtualization, memory management, and cache conflicts in distributed and cloud environments. Key research interests include optimizing task scheduling in cloud VMs, reducing TLB misses through huge page strategies, and mitigating interference in multi-tenant GPU clouds. His work on page placement mechanisms and dynamic page coalescing aims to enhance virtualized cloud performance. Ding has received federal funding, including an NSF grant for virtualization research in heterogeneous memory hierarchies (2016–2019). His research outputs span over 74 publications, with notable contributions in EuroSys, IEEE Transactions, and conferences like PACT. Media coverage highlights his studies on cloud computing and collaborative mobile systems, such as parking assignment algorithms. Beyond technical contributions, Ding advises students in interdisciplinary projects, exemplified by collaborations with Applied Math majors on cloud computing challenges.

Sarah B. JohnstonView profile

Associate Professor

• Energy and Environmental Economics
• Industrial Organization
• Renewable Energy Policy
• +3 more

Sarah B. Johnston is an Associate Professor in the Department of Economics at the University of Calgary's Faculty of Arts. Her research focuses on energy and environmental economics, industrial organization, and policy analysis. She holds a PhD and has contributed significantly to understanding renewable energy adoption, climate policy impacts, and energy equity issues. Key research interests include evaluating policy instruments for renewable energy deployment, analyzing the socioeconomic effects of energy subsidies, and examining how legal and regulatory frameworks influence investment decisions in energy sectors. Her work integrates empirical methods with theoretical economic models to address real-world challenges such as grid reliability, air pollution disparities, and household energy vulnerability. Recent publications emphasize the intersection of energy infrastructure and public policy, including studies on interconnection queues for renewable projects, the implications of private backup power systems for grid stability, and the distributional impacts of EV subsidies. Her research often highlights equity concerns, particularly for marginalized communities like American Indian populations and low-income households. Dr. Johnston has authored/co-authored peer-reviewed articles in top journals such as the Journal of the Association of Environmental and Resource Economists and Nature Energy. She collaborates with institutions like NBER and maintains active working papers exploring grid expansion barriers and policy uncertainty effects. Contact: 412 Social Science Building, University of Calgary (AB, Canada) | sarah.johnston2@ucalgary.ca

Kristin Y. PettersenView profile

Professor

• Nonlinear control theory
• Marine robotics
• Snake robotics
• +5 more

Kristin Y. Pettersen is a Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Engineering Cybernetics, Faculty of Information Technology and Electrical Engineering. She holds a PhD and MSc in Engineering Cybernetics from NTNU and serves as an Adjunct Professor at the Norwegian Defence Research Establishment (FFI). She co-founded and led Eelume AS as its first CEO. PhD in Engineering Cybernetics, NTNU MSc in Engineering Cybernetics, NTNU Her research focuses on nonlinear control theory, motion control of mechanical systems, and marine robotics. Key areas include autonomous vehicles, underactuated systems, and cooperative control. Her recent work involves snake robotics, vehicle-manipulator systems, and safety-critical control algorithms. Her publications demonstrate trends in marine robotics , nonlinear control systems , autonomous navigation , formation control , and adaptive algorithms . Emerging topics include energy-shaping control , extremum-seeking optimization , and task-priority frameworks for complex robotic systems. 2025: Norwegian Academy of Science and Letters (DNVA) 2020: ERC Advanced Grant 2017: IEEE Fellow 2016-2021: Board member, Eelume AS 2013-2023: Key scientist, NTNU AMOS She has supervised 30 PhD graduates and currently mentors 16 PhD candidates. Her grants include ERC PoC UR4energy (€150k), ERC AdG CRÈME (€2.5M), and CAROS (NOK 45M) for subsea autonomy. She leads teams at NTNU's Applied Underwater Robotics Laboratory and contributes to the Cluster of Excellence IntCDC.

Jeeseop KimView profile

Assistant Professor

• Robotics
• Autonomy
• Control Theory
• +3 more

Jeeseop Kim is an Assistant Professor in the Department of Aerospace and Mechanical Engineering at The University of Texas at El Paso (UTEP), College of Engineering, specializing in robotics, autonomy, and control theory. His research focuses on safety-critical planning and control, with emphasis on bipedal/quadrupedal locomotion, hybrid dynamical system control, and whole-body planning and control. Education: B.S. in Mechanical and Aerospace Engineering, Seoul National University (2014) M.S. in Intelligence and Information (Robotics), Seoul National University (2017) Ph.D. in Mechanical Engineering, Virginia Tech (2022) Postdoctoral Scholar, Mechanical and Civil Engineering, Caltech (2022–2025) His research spans safety-critical control systems for legged robots, including obstacle-aware nonlinear model predictive control (MPC), control barrier functions, and distributed coordination algorithms. Recent work explores adaptive delay estimation, tactile sensing for robotic grasping, and hardware-software co-design for humanoid robots. Key article trends highlight advancements in autonomous inspection robotics, hybrid control architectures, and real-time planning for quadrupedal systems. His work integrates control theory with practical applications in industrial and healthcare domains. Awards: ASME DSCD Rudolf Kalman Best Paper Award (2022) IEEE ICRA Outstanding Paper Award (2023) Jeeseop teaches MECH 4332: Mechanical Computational Applications in Vision and Robotics (Fall 2025). He actively recruits Ph.D. students for Spring/Fall 2026 and seeks motivated undergraduates/MS students with skills in robotics kinematics, programming (C/C++, Python, MATLAB), and CAD design. The AIGIS Lab welcomes applicants with interests in robotics, controls, and autonomous systems.

Om P. DamaniView profile

Professor

• Technology for Development
• System Dynamics
• Modeling and Simulation
• +7 more

Om P. Damani is a Professor in the Department of Computer Science and Engineering at Indian Institute of Technology Bombay. He serves as Faculty In-Charge of the Sustainable Development unit of the Center for Policy Studies and is also associated with the Centre for Technology Alternatives for Rural Areas (CTARA). His work bridges computer science with social development challenges, focusing on practical applications for rural communities. Dr. Damani's research interests span Technology for Development of the bottom 80%, System Dynamics: Modeling and Simulation for Social Development, System Architecture, and Data Science. His work demonstrates how computational approaches can address complex development challenges through projects like GramDrishti (for detecting rural infrastructure in satellite images), JalTantra (for optimizing water distribution networks), and FAI (Farm Assessment Index for holistic farming practice evaluation). His publications reveal a consistent focus on applying computer science to solve real-world problems in water management, agricultural systems, and rural infrastructure. His research has been recognized with significant awards including the IIT Bombay Industrial Impact Award 2010, IIT Bombay Impactful Research Award 2019, and Best Poster Award at Agriculture Science Congress 2017. Dr. Damani has successfully translated theoretical research into practical tools that address development challenges, particularly in water resource management and agricultural systems. As an educator, he has mentored numerous PhD students including Chintan Tundia, Shreenivas Kunte, Nikhil Hooda, Sivamuthu Prakash Murugan, Dipak L. Chaudhari, Prateek Kapadia, and Manoj K. Chinnakotla. His teaching portfolio includes courses on System Dynamics: Modeling and Simulation for Development (CS 752), Program Derivation (CS 420), and ICT for Development. Dr. Damani's educational background includes a Ph.D. in Computer Sciences from the University of Texas at Austin (1994-1999), B.Tech. in Computer Science and Engineering from IIT Kanpur (1990-1994), and prior professional experience at IBM T J Watson Research Lab and Akamai Technologies.

Ady ArieView profile

Professor

• Nonlinear optics
• Quantum optics
• Nanophotonics
• +5 more

Prof. Ady Arie is a Professor of Electrical Engineering at Tel Aviv University, where he serves as the Head of the Tel Aviv University Center for Light-Matter Interaction and holds the Marko and Lucie Chaoul Chair in Nano-Photonics. He has been a faculty member at the Iby and Aladar Fleischman Faculty of Engineering since 1993, previously serving as Head of the School of Electrical Engineering (2013-2017) and Vice Dean of Research (2011-2013). His educational background includes: B.Sc. in Mathematics and Physics from Hebrew University of Jerusalem (1983) M.Sc. in Physics from Tel-Aviv University (1986) Ph.D. in Engineering from Tel-Aviv University (1992) Prof. Arie's research spans multiple frontiers of optics and photonics. His work in nonlinear optics focuses on advanced frequency conversion techniques and shaping of light parameters using nonlinear photonic crystals. In quantum optics , he develops quantum light sources based on spontaneous parametric down conversion and explores applications in quantum sensing and communication. His plasmonics research investigates manipulation of surface plasmon polaritons on metal surfaces. In electron optics , he studies electron-matter-light interactions and techniques for sculpting electron wave functions. His lab also explores hydrodynamics through quantum simulations with water waves, creating analogies to quantum mechanical phenomena. Analysis of Prof. Arie's recent publications (2023-2025) reveals a strong focus on quantum technologies, particularly in quantum light generation, quantum sensing, and quantum information processing. His work increasingly integrates concepts from nonlinear optics, electron microscopy, and quantum physics, with growing emphasis on practical applications in quantum communication and computation. The research shows sophisticated manipulation of light-matter interactions across multiple platforms including nonlinear photonic crystals, plasmonic structures, and electron beams. Prof. Arie has received significant recognition for his work: Kadar Foundation Award for Excellence in Research (2016) Fellow of the Optical Society of America Editorial roles including Topical Editor of Optics Letters (2008-2014) and Associate Editor of Optica (since 2018) Prof. Arie leads the Nonlinear Optics and Wave Propagation Laboratory at Tel Aviv University, where his team investigates diverse wave phenomena from light frequency conversion to electron beam manipulation. He has served as chair of the national steering committee of the Israeli Planning and Budgeting Committee on Quantum Science and Technology. His research has been supported by various grants enabling the development of novel optical technologies and quantum systems. While specific grant details aren't provided in the text, his extensive publication record and leadership positions suggest substantial research funding. Prof. Arie's laboratory focuses on the intersection of classical and quantum wave phenomena. The lab investigates light manipulation through nonlinear optical processes, plasmonic structures, and electron microscopy techniques. Current research directions include quantum light generation, electron-photon interactions, and hydrodynamic analogs to quantum systems. The lab appears well-equipped for advanced optical experimentation with capabilities spanning visible to infrared wavelengths, nonlinear crystal engineering, and electron beam characterization.

Kristian SevdariView profile

Research Fellow

• Electric Vehicle Grid Integration
• Vehicle-to-Grid Systems
• Renewable Energy Integration
• +6 more

Kristian Sevdari is a Postdoctoral Researcher at the Department of Wind and Energy Systems, Technical University of Denmark (DTU). He was born in Kucove, Albania, in 1995, and holds a B.Sc in electrical engineering from the Polytechnic University of Tirana (2016), an M.Sc from UiT Norges arktiske universitet, Norway (2020), and a Ph.D. from DTU (February 2024). Since 2020, he has been working at DTU on multiple projects including Solar-Move, AHEAD, FLOW, EV4EU, ACDC, and FUSE. His research focuses on renewable energy integration and electric vehicle grid integration, with specific expertise in vehicle-to-grid systems, power system dynamics and stability, prosumers and flexible demand, wind power integration, and smart grid technologies. His work contributes to UN Sustainable Development Goals related to sustainable energy and climate action. Dr. Sevdari's recent publications demonstrate a strong trend toward solving practical challenges in EV-grid integration, with emphasis on bidirectional charging technologies, harmonics analysis, battery second-life applications, and smart charging strategies for residential and urban environments. His research bridges theoretical control approaches with experimental validation across multiple European contexts. Best paper award at 2024 IEEE Transportation Electrification Conference & Expo Best paper award of the IEEE PES ISGT-Europe 2021 conference As a supervisor, he has guided multiple Master's theses on topics including telematics integration for EV cost reduction, open charge point protocol implementation, vehicle-to-grid testing, and compatibility testing for EV ecosystems. He is actively involved in the IEEE PES Task Force on electric vehicle grid integration and IEA Task 53, and is the founder of IEEE REST conferences, Qendra SUSALB, and EkoVolt.

Jan EngelhardtView profile

Assistant Professor

• Electric Vehicle Systems
• Battery Energy Storage
• Power System Integration
• +4 more

Jan Engelhardt serves as Assistant Professor in the Department of Wind and Energy Systems at the Technical University of Denmark (DTU), specializing in e-mobility and prosumer integration within power and energy systems. His work directly contributes to UN Sustainable Development Goals through grid modernization and renewable energy integration. His research focuses on electric vehicle-grid integration , with core expertise in battery energy storage systems, DC microgrids, and virtual power plants. Key investigation areas include smart charging architectures for EV clusters, frequency response services, phase balancing techniques, and V2X management strategies. His experimental approach combines theoretical modeling with real-world validation of control systems for enhanced grid stability. Recent publications demonstrate a clear trend toward distributed control solutions for electric vehicle clusters, emphasizing user-centric scheduling while providing grid services. His work increasingly incorporates experimental validation of frequency control architectures and explores high-power reconfigurable battery applications for fast-charging infrastructure. Dr. Engelhardt actively supervises PhD candidates on projects including Hybrid Energy Solutions (EV charging and battery storage synergies) and Provision of Grid Services through EV Aggregation. He participates in major EU initiatives like EV4EU (Electric Vehicles Management for Carbon Neutrality in Europe) and GREAT (GRid Enhancement for Ancillaries in Tomorrow’s power systems), securing substantial research funding through Horizon Europe frameworks.

• Industrial and Manufacturing Engineering
• Logistics
• Supply Chain Management
• +4 more

Anna Corinna Cagliano is a Full Professor at the Department of Management and Production Engineering (DIGEP) , Polytechnic University of Turin . She is a member of the CARS@PoliTO Interdepartmental Center for Automotive Research and Sustainable Mobility, and serves as Deputy Coordinator of the Doctoral College in Management and Production Engineering . Research Interests: Industrial and manufacturing engineering, logistics, supply chain management, project risk analysis, healthcare logistics, and ICT applications in logistics. Scientific Affiliation: AIDI Italian Association of Industrial Plant Teachers since 2016. Research Trends: Her publications focus on the intersection of Industry 4.0 , lean manufacturing , and sustainability in logistics. Key areas include automated storage systems , digital twins in intra-logistics , and COVID-19 impacts on supply chains . She emphasizes ICT tools and risk management across industrial and healthcare contexts. Teaching Roles: She lectures on Industry 4.0 for Production Systems and Plants and Manufacturing Systems at the Master’s and Bachelor’s levels in Automotive and Management Engineering. She also supervises PhD students in Management and Production Engineering . PhD Students: Simone Preziosa (2024–ongoing) Abror Hoshimov (2019–2023) Mahsa Mahdavisharif (2019–2023)

Mathias LerchView profile

Lecturer

• Population and Development
• Demography
• Migration Studies
• +3 more

Mathias Lerch serves as Lecturer and Head of the Urban Demography Laboratory (URBDEMO) at the School of Architecture, Civil and Environmental Engineering (ENAC) of the Swiss Federal Institute of Technology Lausanne (EPFL). With expertise spanning population dynamics, urbanization, and demographic estimation, he bridges demography with urban planning and environmental science through interdisciplinary research on mortality, fertility, and migration patterns. His research centers on Population and Development, International Demography, and Urban Demography, examining how socioeconomic and environmental factors interact with demographic change. Methodologically, Lerch specializes in data collection, linkage, quality assessment, and advanced statistical modeling for demographic estimation and multi-regional projection, with particular focus on migration systems, fertility transitions, and mortality disparities in urban contexts. Analysis of his 15 most recent publications (2017-2025) reveals consistent investigation into migration patterns across rural-urban continua, fertility transitions in developing regions, and mortality outcomes in urban environments. His work demonstrates methodological innovation through multi-regional projection techniques and large-scale dataset integration, significantly advancing demographic estimation practices and policy-relevant insights for urban population growth. Dr. Lerch currently advises PhD students Beckendorff Dorothee and Du Wenxiu while teaching courses including Urban Demography and Border Forensics at EPFL. His advisory work focuses on training the next generation of demographers in quantitative methods and urban population analysis. As head of URBDEMO, Lerch leads a research team developing systemic frameworks for understanding urban population dynamics. The laboratory's work integrates demographic methods with urban studies to address contemporary challenges in urbanization, migration flows, and sustainable city development through innovative data linkage and modeling approaches.

Isabella DobrescuView profile

Professor

• Labour economics
• Public finance
• Health economics
• +4 more

Professor Isabella Dobrescu is Head of the School of Economics at the University of New South Wales (UNSW) Business School and co-chair of the STEP UP initiative in Education. She serves as an editor for the Journal of Pension Economics & Finance and maintains an active research program spanning labor economics, public finance, health economics, and applied econometrics. Her educational background includes a Ph.D. in Economics with Honors from the University of Padua (2009), an M.Sc. in Economic Mathematical Modeling Summa cum Laude from West University of Timisoara (2005), and dual bachelor's degrees in Economics from Nottingham Trent University and Finance Summa cum Laude from West University of Timisoara (2003). Dobrescu's research has evolved from structural work on consumption and saving dynamics to pioneering applications combining theory, empirical analysis, and randomized controlled trials to improve educational outcomes through technology. Her recent work focuses on financial literacy interventions for high school students through the STEP UP program, while maintaining her longstanding research on aging populations, retirement decision-making, and risk behavior. Her publication portfolio demonstrates consistent output across labor economics, health economics, and applied econometrics, with recent emphasis on educational technology interventions and financial decision-making in retirement contexts. The research shows methodological diversity spanning structural modeling, nonparametric partial identification techniques, and experimental approaches. UNSW Business School Research Impact Award (2021) UNSW President's Award for Building Collaborations (2019) UNSW Scientia Education Fellowship (2017) Australian Government Office of Learning & Teaching Citation (2016) ARC Early Career Research Fellowship (2012) Dobrescu has secured over AU$2.5 million in competitive research funding since 2010, including major ARC Linkage grants and substantial UNSW strategic investments. She leads the STEP UP initiative which has received over AU$650,000 in funding for financial literacy outreach programs. Her collaborative approach is evident in numerous multi-investigator projects with colleagues including Bateman, Thorp, Motta, and Newell across economics, finance, and education domains. As Head of the School of Economics and co-chair of STEP UP, Dobrescu leads research teams focused on educational interventions using technology, retirement decision-making, and the economics of aging. Her Playconomics platform represents a significant innovation in experiential economics education, receiving media coverage from major outlets including The Sydney Morning Herald and The Australian.

Eleni StaiView profile

Assistant Professor

• Optimization
• Communications Networks
• Data Analytics
• +4 more

Eleni Stai is an Assistant Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), affiliated with the Division of Communication, Electronic and Information Engineering. She holds advanced degrees in Electrical Engineering, Mathematics, and Applied Mathematical Sciences from NTUA and the National and Kapodistrian University of Athens. Her academic credentials include: Diploma in Electrical and Computer Engineering, NTUA (2009) B.Sc. in Mathematics, National and Kapodistrian University of Athens (2013) M.Sc. in Applied Mathematical Sciences, NTUA (2014) Ph.D. in Electrical Engineering, NTUA (2015) Dr. Stai's research integrates advanced optimization techniques with communications networks and energy systems. She develops stochastic and deterministic optimization frameworks for network resource allocation, data analytics on complex topologies, and smart-grid control applications. Her work bridges theoretical foundations with practical implementations in energy-harvesting networks, network slicing, and reinforcement learning for distributed systems. Analysis of her recent publications reveals dominant research thrusts in AI-driven network management (particularly O-RAN and network slicing), energy-integrated communications, and optimization of energy communities. A significant portion of her work addresses the convergence of 5G/6G networking with power systems, emphasizing real-time control and sustainability. Her scientific contributions have been recognized through prestigious awards: Chorafas Foundation Best Ph.D. Thesis award Thomaidis Foundation Best M.Sc. Thesis award Best Paper Award at ICT 2016 Best Presenter Award at IEEE ENERGYCON 2022 Dr. Stai serves on technical program committees for major international conferences and has co-authored the book "Evolutionary Dynamics of Complex Communications Networks". She teaches undergraduate courses in Queuing Systems, Computer Networks, and Social Network Analysis, reflecting her expertise in network theory and applications. Her research trajectory demonstrates continuous evolution from fundamental network optimization to AI-enhanced solutions for next-generation communication-energy systems. Her work builds upon her postdoctoral experience at EPFL (2016-2020) and ETH Zurich (2020-2023), where she developed advanced frameworks for communications networks and energy systems.