جست‌وجوی استاد و پژوهشگر

Hongjie Wangمشاهده پروفایل

استادیار

• Power Electronics
• Electric Vehicle Charging
• Resonant Converters
• +۲ مورد دیگر

Hongjie Wang is an Assistant Professor in Electrical and Computer Engineering at Utah State University, where he serves as co-director of the Utah State University Power Electronics Laboratory and leads the NSF ASPIRE ERC Charging Stations of the Future project. His research focuses on power electronics for transportation electrification, particularly extreme fast charging systems and dynamic wireless power transfer. Research domains include: High-efficiency resonant converter design Grid integration of EV charging infrastructure Second-life battery applications in energy storage Dynamic wireless power transfer for in-motion charging Thermal management of power electronics Recent publications demonstrate innovations in unfolding-based AC-DC converters, load modeling for large-scale charging infrastructure, and reinforcement learning approaches for grid-integrated charging optimization. His work has received multiple best paper awards including recognition from IEEE ECCE and IEEE IAS.

Jürgen Melznerمشاهده پروفایل

استاد

• Construction Management
• Occupational Health and Safety
• Building Information Modeling (BIM)
• +۴ مورد دیگر

Prof. Dr.-Ing. Jürgen Melzner is a Professor at the Faculty of Civil and Environmental Engineering at Bauhaus-Universität Weimar. His research focuses on construction operations, occupational health and safety, and BIM integration. He leads projects in lean construction management, noise pollution modeling, and safety planning using BIM. His work emphasizes digital transformation in construction processes and legal aspects of building permits. Education includes a Dr.-Ing. (Doctor of Engineering) with extensive career contributions to construction safety and process optimization. His teaching and research involve BIM applications, IoT integration, and interdisciplinary methods in construction education. Research interests span BIM-based safety systems, predictive noise simulation, ontology networks for construction data, and lean principles in project management. Recent articles address stakeholder management in permits, machine learning for site monitoring, and metaverse applications in urban planning. Notable advising includes guidance of master's students like Mahshid Birkholz and Nasim Babazadeh. His work bridges academic research with practical implementation through projects like BIMwissT and DROHNIS. Labs/teams: Active in the Chair for Construction Management and BIM, focusing on digital tools and safety innovation.

Anuj Sharmaمشاهده پروفایل

استاد

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +۳ مورد دیگر

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

Bernadette McCabeمشاهده پروفایل

استاد

• Biogas Technology
• Agricultural Waste Management
• Environmental Engineering
• +۳ مورد دیگر

Professor Bernadette McCabe is Director of the Centre for Agricultural Engineering (CAE) at the University of Southern Queensland (USQ) and Research Program Team Leader for Energy and Bioresource Recycling. She leads Australia’s National Team for IEA Bioenergy Task 37 (Energy from Biogas) and is a member of the ARC College of Experts. With over 25 years in academic and industry research, her work focuses on converting agricultural and food-industry waste into valuable resources like biogas, recycled water, and biofertilizers. She collaborates with industries to enhance profitability through sustainable waste management, addressing livestock, cropping, and water utility sectors. Education : BSc(Hons) in Agriculture, University of Sydney (1992) PhD in Agricultural Bioengineering, University of Western Sydney (1999) Graduate Certificate in Tertiary Teaching and Learning, USQ (2007) Research Interests : Biogas production from agro-industrial waste Anaerobic digestion optimization Greenhouse gas mitigation strategies Biosolids and digestate management Circular economy applications in agriculture Grants & Projects : Recycling and Renewable Energy Commercialisation Hub (2023) Nutrients in a Circular Economy (NiCE) ARC Hub (2022) Wastes to Profits: Regional Agri-Food Waste Valorisation (2021) Pilot-scale digestate-derived bioproducts (2020) Awards : Advance Queensland Mid-Career Research Fellowship (2017) ALTC Citation for Outstanding Contribution to Student Learning (2011) Labs/Teams : Leadership in CAE’s Energy and Bioresource Recycling program Collaborations with IEA Bioenergy, CSIRO, and industry partners

Claudia Klüppelbergمشاهده پروفایل

استاد

• Applied Probability
• Mathematical Statistics
• Financial Risk Management
• +۳ مورد دیگر

Claudia Klüppelberg is a Professor and Chair of Mathematical Statistics at the Center for Mathematical Sciences, Technische Universität München (TUM). Her academic journey includes positions at ETH Zurich, University of Mainz, and TUM since 1997. She holds a Carl von Linde Senior Fellowship at TUM-IAS, focusing on Risk Analysis and Stochastic Modeling. Her research bridges applied probability, statistics, and their applications in finance and insurance, emphasizing extreme value theory, risk processes, and stochastic networks. She has received prestigious awards such as the New Frontiers in Risk Management Award (2007) and Cross of Merit (2001). Her work addresses real-world challenges in financial risk management, including systemic risk in networks and operational risk modeling. Her recent publications explore causal analysis of extreme risks in networks, max-linear models, and Bayesian networks for extreme events. She contributes to academic leadership as an editorial board member and advisor, promoting interdisciplinary stochastic sciences.

Elizabeth C Thompsonمشاهده پروفایل

استادیار

• Adolescent Mental Health
• Psychosis-Spectrum Disorders
• Early Intervention
• +۴ مورد دیگر

Elizabeth C Thompson is Dean of Pembroke College and holds dual appointments as Assistant Professor of the Practice in Cognitive and Psychological Sciences and Assistant Professor of Psychiatry and Human Behavior (Research) at Brown University. She is a licensed psychologist in Rhode Island, with a Ph.D. in Clinical Psychology from the University of Maryland, Baltimore County, and postdoctoral training at Alpert Medical School and Brown University Health. Her research focuses on psychosis-spectrum disorders in adolescence, emphasizing risk factors, screening methods, and intervention strategies for mental health and safety risks. Dean, Pembroke College Assistant Professor of the Practice, Cognitive and Psychological Sciences Assistant Professor of Psychiatry and Human Behavior (Research) At Brown, Dr. Thompson operates within the Department of Cognitive and Psychological Sciences and the Department of Psychiatry and Human Behavior. She teaches clinical psychology courses and advises students pursuing psychology careers. Her clinical work centers on early psychosis through Bradley Hospital’s Stride Clinic, offering assessment and consultation services for Rhode Island youth and families. Her research includes pilot trials on family-oriented interventions for hospitalized adolescents with psychosis-spectrum symptoms and funded projects on sleep characteristics linked to psychosis-spectrum disorders, supported by the COBRE Center for Sleep and Circadian Rhythms. She collaborates extensively with researchers like Jennifer Wolff, Sarah Thomas, and Anthony Spirito. Dr. Thompson’s recent publications (2024–2019) span topics such as hallucinations and suicidal imagery, cannabis vaping effects, sleep disturbances, social media’s role in mental health, and trauma’s impact on psychosis. Her work often intersects with the Adolescent Mental Health Collaborative (AMHC) and utilizes interdisciplinary approaches, including actigraphy, biomarkers (e.g., interleukin-1 beta), and qualitative methods. She has secured NIH/NIMH, AFSP, and COBRE grants for studies like the LINC and Safety Net projects, reflecting her commitment to translating research into clinical practice. K23 MH119211 (NIH/NIMH): Treatment Engagement Protocol for Post-Discharge Psychosis Care YIG-1-167-19 (AFSP): Safety Planning for High-Risk Teens COBRE Center Grant: Sleep and Psychosis in Adolescents Her lab, SPARK Lab, partners with specialized clinics and emphasizes training opportunities in mental health research. She also contributes to policy discussions around early psychosis care quality and access, advocating for psychological expertise in healthcare synthesis. No scientific awards are explicitly mentioned, though her grant-funded research underscores her academic influence.

• Food Safety
• Meat Technology
• Food Waste Management
• +۴ مورد دیگر

Nataša Kilibarda serves as Professor at Singidunum University's Faculty of Tourism and Hospitality Management in Belgrade, Serbia. Her academic career spans over two decades with specialized expertise in food safety, meat technology, and sustainable food systems. She holds doctoral qualifications in Food Hygiene and Technology from the University of Belgrade's Faculty of Veterinary Medicine. Her research focuses on critical food industry challenges including food waste reduction, pandemic-era food safety protocols, sustainable meat production, and hospitality sector food handling practices. Kilibarda's work bridges academic research with practical industry applications, particularly in Serbian and Balkan contexts. Her recent publications demonstrate growing emphasis on sustainable food systems, biogas production from organic waste, and the intersection of tourism with traditional food quality. Her 15 most recent publications reveal consistent contributions to food safety literature with particular expertise in: Meat technology and quality control Microbiological safety of processed foods Food waste management strategies Pandemic impact on food systems Sustainable resource utilization Kilibarda maintains active collaboration with Serbian food industry stakeholders and contributes to national food safety standards development. Her work appears in prominent regional journals including Meat Technology, Journal of Food and Nutrition Research, and Tehnologija mesa.

Mohammad Hassan Khoobanمشاهده پروفایل

دانشیار

• Power Systems
• Renewable Energy
• Control Systems
• +۴ مورد دیگر

Mohammad Hassan Khooban is an Associate Professor at the Department of Electrical and Computer Engineering, specializing in Electrical Energy Technology at Aarhus University . His research emphasizes advanced control strategies for power systems, renewable energy integration, and smart grid technology. While specific educational background details are not explicitly stated, his work demonstrates expertise in power electronics, control systems, and machine learning applications. His projects include pioneering initiatives like QuantumEcoCircuits (2024–2027) and Smart Synergy Mechanism (2023–2025), focusing on sustainable energy systems, electric vehicle charging dynamics, and resilient grid operations. His research interests span adaptive control methodologies, grid resilience under cyber threats, and the optimization of energy storage systems. He has contributed to peer-reviewed journals such as IET Renewable Power Generation and IEEE Transactions on Smart Grid , exploring topics ranging from PID controllers to fractional-order sliding mode control for unmanned aerial vehicles. No scientific awards are listed, but his work is supported through grants and collaborative projects. He is actively involved in lab initiatives related to power systems and renewable energy technologies.

• Design Optimization
• Energy Systems
• Heat Storage
• +۵ مورد دیگر

Antti Ritari is a Postdoctoral Researcher at Aalto University's Department of Energy and Mechanical Engineering. His research specializes in optimization techniques for sustainable marine energy systems, with a focus on battery-electric vessels, hybrid power systems, and zero-emission shipping solutions. He actively collaborates on projects such as the DAZE-EVET initiative, which targets data-driven approaches to reduce maritime emissions. Research Focus: Ritari's work integrates convex optimization with naval engineering challenges. Key areas include: Design optimization for marine powertrains and energy storage Thermal management and battery systems for ships Trajectory planning and control of hybrid-electric vessels Lifecycle analysis of retrofits and alternative fuels Recent Publications: His 2022-2024 outputs demonstrate consistent focus on marine energy optimization, with methodologies spanning geometric programming, multiperiod modeling, and supervisory control systems. Thematic analysis shows 80% of works directly address decarbonization of maritime transport. Project Involvement: DAZE-EVET: Data Analytics for Zero Emission Marine (2023-2026): Developing analytics frameworks for emission reduction in marine operations.

• Reinforcement Learning
• Robotics
• Deep Learning
• +۳ مورد دیگر

Glen Berseth is an Associate Professor in the Department of Computer Science and Operations Research at the University of Montreal and a Senior Academic Fellow at Mila – Quebec Institute for Artificial Intelligence. He is also a Canada CIFAR Chair in AI and Co-Director of the Montreal Robotics and Integrative AI Laboratory (REAL). His work focuses on reinforcement learning, robotics, and deep learning applied to autonomous systems. He holds a postdoctoral background from Berkeley Artificial Intelligence Research (BAIR), working under Sergey Levine. His research emphasizes real-world applications, including human-robot collaboration, continual learning, and multi-agent systems. He teaches courses on robot learning at the University of Montreal and Mila, covering cutting-edge techniques for general-purpose robots. Key research interests include reinforcement learning for robotics, adaptive interfaces, and sim-to-real transfer. His recent work addresses challenges in autonomous learning systems, such as robust locomotion control and efficient exploration strategies. Notable awards include the Canada CIFAR AI Chair. He has supervised numerous students, including PhD candidates Ozgur Aslan and Siddarth Venkatraman, and Master’s students like Roger Creus-Castanyer and Léa Demeule, focusing on topics like reinforcement learning and robotic control. Berseth leads research projects funded by organizations like the CRSNG, FCI, and MITACS, addressing topics such as modular lifelong learning and generalization in robotics. His lab, REAL, explores embodied AI and robotics integration.

Katherine Flaniganمشاهده پروفایل

استادیار

• Cyber-Physical Systems (CPS)
• Digital Twins
• Infrastructure Resilience
• +۶ مورد دیگر

Katherine Flanigan is an Assistant Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in the Department of Electrical and Computer Engineering. She holds a Ph.D. in Civil Engineering from the University of Michigan (2020) and earlier degrees from the same institution (M.S.E. in Electrical and Computer Engineering, 2018, and M.S.E. in Civil Engineering, 2016) and a B.S.E. in Civil and Environmental Engineering from Princeton University (2014). Her research focuses on transforming civil infrastructure and urban systems into intelligent cyber-physical systems (CPS) by integrating sensing, computing, and actuation technologies. Key areas include developing wireless sensor networks for smart cities, modeling infrastructure resilience, and leveraging digital twins for data-driven decision-making. She extends this work to cyber-physical-social systems (CPSS), emphasizing human-infrastructure interactions and equity in policy-making through community-driven data. Flanigan is particularly noted for projects combining technical and social dimensions, such as human-in-the-loop control solutions and privacy-preserving urban sensing technologies. Flanigan has received prestigious awards including the NSF Graduate Research Fellowship, the Towner Prize for Outstanding PhD Research, and the Wimmer Faculty Fellow award for teaching innovation. She advises PhD student Lindsay Graff, whose work addresses transportation equity and multimodal networks. Her research also involves collaborations with industry leaders via the Manufacturing Futures Institute, and she leads the Autonomous Infrastructure Systems Lab at CMU. Her teaching contributions include course redesigns focused on hands-on projects, such as constructing habitats for pollinators and Little Free Libraries to blend engineering with community impact. She emphasizes preparing students for real-world challenges through project courses that teach sensing, data analysis, and infrastructure system design under constraints like risk and resource limitations.

Ashwin Aravindakshan Nairمشاهده پروفایل

دانشیار

• Marketing Analytics
• Advertising Allocation
• Customer Behavior Dynamics
• +۳ مورد دیگر

Dr. Ashwin Aravindakshan Nair is an Associate Professor at the UC Davis Graduate School of Management, where he serves as Director of the Master of Science in Business Analytics program. His research examines how brands can optimize advertising resource allocation across regions and media channels, while investigating customer behavior dynamics to improve marketing strategies. Nair teaches courses in Customer Relationship Management, New Product Development, and Business Analytics. Nair's research encompasses advertising allocation models, direct-to-consumer marketing, mobile commerce platforms, and digital marketing analytics. Recent work explores chatbot language translation effects on mobile commerce, quantum-inspired machine learning for disease screening, and data-driven evaluation of pandemic interventions. His publications appear in leading journals including Marketing Science, Operations Research, and Journal of Marketing Research. Analyses of his publications reveal strong emphases on marketing analytics applied to healthcare, public policy, and technology sectors. The research employs advanced methodologies including randomized field experiments, machine learning techniques, and time-series analysis to address real-world marketing challenges. Recent work demonstrates increasing focus on AI applications in marketing and healthcare analytics.

Gihad Shabibمشاهده پروفایل

استادیار

• Obstetrics
• Gynecology
• Child, Youth and Maternal Health
• +۴ مورد دیگر

Gihad Shabib is an Assistant Professor in Obstetrics and Gynecology at the University of Ottawa's Faculty of Medicine. As a Medical Doctor at the Ottawa Hospital (TOH) since 2001, they specialize in obstetrics, gynecology, and surgical techniques. Their clinical expertise includes low Cesarean section rates, vaginal surgeries, and managing complex cases in benign gynecology. Administrative roles include leading Quality Assurance committees, reviewing adverse outcomes, and implementing corrective measures. Education: FRCSC (Obstetrics & Gynecology) from Royal College of Surgeons of Canada (June 1998) Teaching: Lecturer for medical students, midwifery students, residents, and fellows Awarded 'Best Clinical Teacher' by American College of Obstetrics and Gynecology (2010) Research Interests: Focuses on maternal and child health, surgical innovations (e.g., uterine artery embolization), and reproductive endocrinology. Key areas include operative vaginal delivery techniques, minimally invasive surgeries, and improving obstetric outcomes through evidence-based practices. Active in clinical trials evaluating contraceptive efficacy and hormonal therapies. Awards & Recognition: Recognized for clinical teaching excellence (2010) Contributed a chapter on operative delivery to Oxorn-Foote's 'Human Labor & Birth' Grants & Labs: While no specific grants are listed, their work integrates clinical and academic collaborations through the University of Ottawa and Ottawa Hospital. Leads surgical training programs for residents and fellows. Labs/Teams: Participates in multidisciplinary teams addressing maternal-fetal medicine, pelvic floor dysfunction, and reproductive health challenges through clinical practice and education.

Izabela Ewa Nielsenمشاهده پروفایل

استاد

• Artificial Intelligence
• Operations Research
• Unmanned Aerial Vehicles
• +۵ مورد دیگر

Izabela Ewa Nielsen is a Professor at Aalborg University's Department of Materials and Production under The Faculty of Engineering and Science. Her research focuses on artificial intelligence applications in operations research, unmanned aerial vehicles (UAVs), genetic algorithms, and mobile robotics. She holds a degree from Warsaw University of Technology (25 Oct 2025). Research Interests: Her work integrates AI with logistics optimization, health data analysis, and sustainable supply chains. Notable projects include the EU-funded 'Operational Reliability Management System (ORMS)' and 'UAWORLD', exploring UAVs in industrial settings. Projects & Collaborations: Leading ORMS (2016-2019) to enhance operational reliability through AI-driven solutions. Contributing to TAPAS (2010-2014), advancing robotics in factory automation. Co-developing ValuePole (2008-2011) for SME performance optimization. Advising & Grants: Supervised projects such as the EU classification methodology study (2022-2023) and contributed to over 6 major research initiatives. Her work frequently involves interdisciplinary teams and industry partnerships. Labs & Teams: Active in AI for Operations Research labs, collaborating with robotics and logistics experts. Her group focuses on real-world applications of autonomous systems in manufacturing and healthcare.

Chiara Croviniمشاهده پروفایل

دانشیار

• Risk Management
• Sustainability Reporting
• Integrated Reporting
• +۳ مورد دیگر

Chiara Crovini is an Associate Professor at Aalborg University Business School, part of The Faculty of Social Sciences and Humanities. She is affiliated with the Accounting Research Group and the Green Societies initiative. Her research focuses on risk management, sustainability reporting, and the convergence of financial and management accounting. She has received grants from SIDREA, ICAS, EFRAG, and participates in projects like 'Green Transitions in Port of Aalborg' and 'Sustainability Reporting: Case studies in Aalborg companies.' Chiara holds a Ph.D. from the University of Turin (2017) with a thesis on risk management in SMEs, and has taught courses such as 'International Accounting and IFRS' and 'Financial Statement Analysis' at Aalborg University. She has also lectured at the University of Turin, Politecnico di Torino, and Pforzheim Business School. Her pedagogical interests include digital inquiry methods and student engagement in problem-based learning environments. Her research explores topics like integrated reporting quality, ESG media coverage, and carbon accounting challenges. She has published in journals such as International Journal of Innovation and Learning and Journal of International Financial Management & Accounting , and presented at conferences like the European Sustainability Accounting & Reporting Conference. Chiara’s work contributes to UN Sustainable Development Goals, particularly in education and sustainability. She has received awards including the Best Reviewer Award 2020 and Premio Migliori Laureati 2013/2014. Her current projects involve investigating internal sustainability reporting practices through the AAUBS Sustainability Lab and the SSH Talent Programme.