جستجوی استاد راهنمای دانشگاهی

Levent Burak Karaمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Computational Design
• +۱۲ مورد دیگر

Levent Burak Kara is a Professor in the Department of Mechanical Engineering at Carnegie Mellon University (CMU), with a courtesy appointment in the Robotics Institute. He is a leading researcher in AI-driven computational design, additive manufacturing, and intelligent engineering systems, leading the Visual Design and Engineering Lab (VDEL) at CMU. Education: B.S., Mechanical Engineering, Middle East Technical University (1998) M.S., Mechanical Engineering, Carnegie Mellon University (2000) Ph.D., Mechanical Engineering, Carnegie Mellon University (2005) His research focuses on integrating machine learning, optimization, and geometric modeling to revolutionize engineering design and manufacturing. Key areas include topology optimization, CAD intelligence, digital twins, generative design, bioengineering, and electronic design automation. His work enables automation of traditionally labor-intensive design processes using deep learning and reinforcement learning. His recent publications reveal a strong trend toward physics-informed surrogate modeling, real-time simulation, manufacturability prediction, and AI-driven automation in mechanical, biomedical, and electronic systems. These works frequently appear in top journals such as Journal of Mechanical Design and Journal of Applied Mechanics , and at premier conferences like NeurIPS and DAC. Scientific Awards: National Science Foundation CAREER Award ASME Design Automation Society Young Investigator Award Google AI for Social Good Impact Scholar Kara advises several Ph.D. students and has secured significant funding from federal agencies such as the NSF and the U.S. Army Research Laboratory, as well as collaborations with industrial leaders including Cadence Design Systems and NVIDIA. His research is also supported by CMU’s NextManufacturing Center and the Critical Technology Initiative. He is actively involved in developing intelligent design systems that leverage AI to automate product design, optimize manufacturing processes, and improve medical diagnostics, particularly in oral cancer screening and organ preservation. His lab, VDEL, is a hub for innovation in AI-enabled engineering.

• Human-Computer Interaction
• Textile User Interfaces
• Soft Robotics
• +۵ مورد دیگر

Jan Oliver Borchers is a full professor of computer science and head of the Media Computing Group at RWTH Aachen University, where he holds the endowed Chair in Media Informatics and Human-Computer Interaction (Computer Science 10). He established his research group in 2003 and pioneered modern HCI academic research and teaching in Germany, becoming a leading lab in terms of archival publications at CHI, the top international conference in HCI. Before joining RWTH, he held faculty positions at Stanford University and ETH Zurich. His research focuses on Human-Computer Interaction with particular interest in new user interfaces for soft robotics, textile user interfaces, 3D printing and personal fabrication, augmented reality, wearable and tangible computing, interfaces for software development, deceptive patterns, and interactive guides and exhibits. He opened Germany's first Fab Lab in 2009 and has been instrumental in advancing digital fabrication and maker culture in academia. His work bridges theoretical HCI research with practical applications, as evidenced by his consulting for major companies including AirBus, Apple, ARD, Bayer, Children's Museum Boston, Daimler, Handelsblatt, OTIS, Scout24, TEDx, and Deutsche Telekom. His recent publications show a strong focus on deceptive patterns in UI design, textile interfaces, and the intersection of AI with human interaction. The research demonstrates consistent innovation in tactile interaction techniques, with numerous honorable mentions at top conferences like CHI. His lab has produced significant contributions to eyes-free interaction, textile computing, and the ethical implications of dark patterns, particularly regarding children's experiences with deceptive designs. IDC 2025 Best Work in Progress for research on children's assessment of deceptive designs CHI'25 Student Games Competition Winner for The Deceptive Dungeon RWTH-Wissenschaftsnacht 2024 Best Science Slam for Usability: 4 Prinzipien guter User Interfaces Multiple CHI Honorable Mentions spanning from 2008-2021 Best Note and Best Demo awards at ITS and UIST conferences Borchers has served in numerous leadership roles including heading the Computer Science Department's Examination Board (2015-2025), coordinating the department's public relations since 2010, and organizing the weekly Faculty Lunch since 2003. He is an active member of the ACM, SIGCHI, SIGCHI Germany, and GI, and introduced the Interactivity format to the CHI conference in 2005. His PhD thesis, A Pattern Approach to Interaction Design, became the first book to bring design patterns to HCI. The Media Computing Group under his leadership has developed significant expertise in physical computing, textile interfaces, and fabrication technologies, with a strong emphasis on both theoretical contributions and practical applications. His lab continues to push boundaries in interactive technologies while maintaining a strong ethical stance on user experience, particularly regarding deceptive design patterns.

Remko Van Hoekمشاهده پروفایل

استاد

• Supply Chain Management
• Procurement
• Sourcing
• +۵ مورد دیگر

Remko Van Hoek serves as Professor of Practice in the Department of Supply Chain Management at the Sam M. Walton College of Business, University of Arkansas. He teaches Sourcing and Procurement courses across undergraduate, master's, and doctoral programs. Prior to joining the University of Arkansas, Dr. Van Hoek held academic positions in Europe and served as a visiting professor at Cranfield School of Management, complemented by extensive industry experience as a supply chain and procurement executive at global corporations including Nike, PwC, and The Walt Disney Company. He currently serves on the Council of Supply Chain Management Professionals (CSCMP) Board of Directors and acts as executive director of the CSCMP Supply Chain Hall of Fame hosted by the Walton College. Dr. Van Hoek's research centers on digital transformation in procurement and supply chain management, with particular focus on blockchain implementation, artificial intelligence applications, and sustainable sourcing practices. His work investigates how emerging technologies reshape procurement processes, supplier relationship management, and risk mitigation strategies. He explores innovative approaches to supplier diversity programs, ethical sourcing frameworks, and the strategic evolution of procurement from cost reduction to value creation. His research consistently bridges academic theory with industry practice through case studies from major corporations, developing actionable frameworks for practitioners facing digital disruption and sustainability challenges. Analysis of his 15 most recent publications (2023-2025) reveals dominant themes in AI-driven supply chain risk prevention, blockchain implementation for transparency, and sustainable supplier engagement. His work demonstrates consistent industry collaboration, drawing from case studies at Walmart, Moet Hennessy, and Bayer to address post-pandemic resilience challenges. A significant portion examines procurement's strategic evolution beyond transactional functions, with recurring emphasis on ethical considerations in digital transformation and the practical implementation barriers for emerging technologies in global supply networks. As a Professor of Practice, Dr. Van Hoek integrates executive-level industry experience into curriculum development and student mentorship. His industry-engaged teaching model includes guest lecturer programs connecting students with supply chain practitioners, as evidenced by his co-authored work on integrating industry insights into supply chain education. While specific grant funding details are not publicly documented, his leadership in the CSCMP Supply Chain Hall of Fame demonstrates commitment to professional development and industry-academia knowledge transfer. Dr. Van Hoek directs the CSCMP Supply Chain Hall of Fame initiative, which documents transformative contributions to supply chain management through interviews with industry pioneers and historical case studies. This platform serves as both an educational resource for Walton College students and a professional development tool for supply chain practitioners globally. The Hall of Fame preserves critical industry knowledge while highlighting contemporary innovations in supply chain strategy and technology implementation.

Hans-Georg Herzogمشاهده پروفایل

استاد

• Electrical Machines
• Electromechanical Drives
• Energy Conversion Technology
• +۷ مورد دیگر

Prof. Dr.-Ing. Hans-Georg Herzog is a Professor of Energy Conversion Technology at the Technical University of Munich (TUM), School of Engineering and Design. He has headed the Energy Conversion Technology group at TUM since 2002 and is a Senior Member of IEEE and member of VDE and VDI professional organizations. His research focuses on energy-efficient electromechanical drives and related technologies critical for modern electric and hybrid vehicles. Prof. Herzog's research interests encompass energy-efficient electromechanical drives, with key expertise in design and optimization of hybrid-electric and battery-electric powertrains, automated design methods for electromechanical actuators, energy and power management systems, and analysis of loss mechanisms in soft magnetic materials. His work bridges fundamental electromagnetic theory with practical automotive applications, particularly in fault-tolerant systems and reliability engineering for electric propulsion. His recent publication trends show a strong focus on vehicular power systems, with particular emphasis on electronic fuses, fault diagnosis in multiphase machines, wireless power transfer, and reliability analysis of electric aircraft propulsion systems. The research spans from fundamental electromagnetic modeling to practical automotive applications, with increasing attention to autonomous driving power requirements and next-generation vehicle electrical architectures. Prize for Good Teaching of the Free State of Bavaria (2010) Prof. Herzog leads a substantial research team including doctoral candidates and postdoctoral researchers who contribute to his extensive publication record. His research group collaborates with automotive industry partners on various grants focused on electric vehicle technology, power system reliability, and advanced electromagnetic systems. The team regularly develops novel methodologies for machine design, fault tolerance analysis, and power system optimization. The research is conducted within TUM's Energy Technology Workshop with specialized facilities for electrical machine testing, power electronics development, and automotive power system simulation. The team maintains strong connections with industry partners in the automotive and aerospace sectors, facilitating technology transfer from academic research to practical applications.

Rong-Hao Liangمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Tangible User Interfaces
• Intelligent Sensing Systems
• +۷ مورد دیگر

Dr. Rong-Hao Liang is an Assistant Professor at Eindhoven University of Technology (TU/e), affiliated with both the Future Everyday Group (Department of Industrial Design) and the Signal Processing Systems Group (Department of Electrical Engineering). His research bridges intelligent sensing systems and user interface technology for ubiquitous computing and embodied human-computer interaction . He co-organized international ACM conferences (CHI, UIST, DIS) and has over 70 peer-reviewed publications and 10 patents. PhD in Computer Science (2014) and MSc in Electrical Engineering (2010) from National Taiwan University Founded GaussToys Inc. in 2015, focusing on magnetic-field sensors Cross-appointed to Electrical Engineering in 2021 His research explores intelligent sensing systems , tangible user interfaces , and physiological sensors for real-world challenges. Key trends in his work include ubiquitous health monitoring (e.g., preterm infants), wearable technology , and innovative interaction design . Articles like GaussBits and NFCStack demonstrate his focus on magnetic and RFID-based tangible systems . Scientific awards include the ACM CHI 2013 Best Paper Award , 2014 Honorable Mentions , and the ACM SIGGRAPH Asia 2012 Emerging Technologies Prize . He mentors passion-driven projects in user interface design and embedded systems , emphasizing technical rigor and creativity. His STRAP project (2020–2025) addresses heart disease prevention via big data and AI . Labs and teams include the Future Everyday Group and Signal Processing Systems Group , with collaborations across healthcare , education , and technology startups . His work aligns with UN Sustainable Development Goals , particularly good health and well-being .

Anant Nyshadhamمشاهده پروفایل

دانشیار

• Development Economics
• Organizational Behavior
• Health Economics
• +۴ مورد دیگر

Anant Nyshadham is an Associate Professor of Business Economics and Public Policy at the Ross School of Business, University of Michigan. He holds positions as a Research Associate at the National Bureau of Economic Research (NBER), Affiliate of BREAD, Research Affiliate of the International Growth Centre (IGC), and J-PAL affiliated professor. He also serves as co-founder and Chief Strategy Officer of the Good Business Lab, a nonprofit promoting worker welfare initiatives. Education: BSc in Economics from the University of Pennsylvania (2006), PhD in Economics from Yale University (2012). Research focuses on enterprise dynamics, labor markets, managerial quality, and health outcomes in developing economies. Key themes include worker training, labor contracting, and the impact of environmental factors on productivity. His fieldwork spans countries like India, Kenya, Colombia, and Mexico. Recent publications analyze topics such as relational contracts in firms, health costs of energy policies, and the long-term effects of early-life interventions. He has received grants and awards for projects addressing organizational behavior and worker welfare. Labs/Initiatives: Leads research collaborations through the Good Business Lab and Ross School of Business, focusing on scalable solutions for improving labor practices and worker well-being.

Natalia Díaz Rodríguezمشاهده پروفایل

استادیار

• Artificial Intelligence
• Deep Learning
• Reinforcement Learning
• +۶ مورد دیگر

Natalia Díaz Rodríguez is an Assistant Professor of Artificial Intelligence at ENSTA ParisTech, where she works in the Computer Science and Systems Engineering department within the Autonomous Systems and Robotics Lab (U2IS). She is also affiliated with the INRIA Flowers team, focusing on developmental robotics. Her research spans deep learning, reinforcement learning, continual learning, and symbolic AI, with applications in explainable AI, computer vision, and robotics for social good. Her academic background includes a double PhD in Artificial Intelligence from Abo Akademi University and the University of Granada, alongside MSc degrees in Soft Computing and Computer Engineering from the University of Granada. She contributes to interdisciplinary AI, particularly in robotics, ethics, and healthcare applications, and co-organizes workshops on continual learning. Double PhD in Artificial Intelligence (2015), Abo Akademi University and University of Granada Doctoral diploma on Innovation and Entrepreneurship (2017), EIT Digital MSc in Soft Computing and Intelligent Systems (2012), University of Granada MSc in Computer Engineering (2010), University of Granada Her recent publications focus on trustworthy AI, including bias identification, counterfactual explanations, and continual learning strategies, reflecting her commitment to ethical and robust AI systems. She also explores AI applications in structural engineering, climate visualization, and financial risk assessment, emphasizing practical deployment and interpretability.

• Polymer Chemistry
• Polymer Mechanics
• Advanced Manufacturing
• +۴ مورد دیگر

Morgan Barnes is a Lecturer in Soft Manufacturing at the Department of Mechanical Engineering , University College London (UCL), and a member of the Manufacturing Futures Laboratory . She holds a PhD in Materials Science and NanoEngineering from Rice University (2021), an MS in Mechanical Engineering and Materials Science from Duke University (2015), and a BS in Mechanical Engineering from Baylor University (2013). Education PhD in Materials Science and NanoEngineering, Rice University (2021) MS in Mechanical Engineering and Materials Science, Duke University (2015) BS in Mechanical Engineering, Baylor University (2013) Her research focuses on Polymer Chemistry , Polymer Mechanics , Advanced Manufacturing , and Smart Materials , particularly in developing responsive materials for soft robotics, biomedical devices, and sustainable manufacturing. Recent work includes optically responsive liquid crystal elastomers for programmable actuation, covalent organic framework (COF) aerogels for energy storage, and high-strength 2D polymers from nanocomposites. Key trends in her publications (15 most recent) emphasize 4D printing , shape-memory polymers , and COF-based functional materials . Her work intersects chemistry, mechanics, and manufacturing, with applications aligned to Sustainable Development Goals 3 (Good Health) and 12 (Responsible Consumption). Scientific Awards Journeyman Fellow, Army Research Laboratory (2020) Teaching Activities include leading the MECH0097 Materials Design for Manufacturing module and laboratory challenges in the MECH0099 Group Manufacturing Challenges course at UCL East's Future Manufacturing and Nanoscale Engineering MSc program.

• Behavioural Economics
• Experimental Economics
• Health Economics
• +۳ مورد دیگر

Francesca Marazzi is an Assistant Professor at the University of Rome Tor Vergata's Department of Economics and Finance. She holds affiliations with the CESifo Research Network (as an affiliate), the CESIEG research centre at LUISS Guido Carli University (Deputy Director), and the DEMA P research cluster at Middlesex University, London. Her research focuses on behavioral and experimental economics, particularly exploring dishonest behavior, responsibility avoidance, and health economics issues like women's health and obesity interventions. She teaches courses such as 'Coding for Economic Applications' and 'Research Methods for Social Sciences' at both bachelor's and master's levels. Her work bridges theoretical models with empirical experimentation, addressing topics like corruption, public goods provision, and policy design. Notable contributions include studies on transparency's impact on bribery, pandemic-related behavioral changes, and the effects of soft drink taxation on adolescent health. She actively participates in interdisciplinary projects, such as the CREA initiative integrating AI and mathematics for fairness assertions, and the LongITools exposome analysis in chronic disease research. Marazzi's academic output emphasizes experimental methodologies, with recent focus on pandemic-driven behavioral shifts, financial stability mechanisms, and innovative governance metrics leveraging earth observation data post-wildfires. Her research portfolio reflects a commitment to applied microeconomic analysis with direct societal relevance.

Guruswami (Ravi) Ravichandranمشاهده پروفایل

استاد

• Deformation and failure of materials
• Dynamic behavior
• Wave propagation
• +۵ مورد دیگر

Guruswami (Ravi) Ravichandran is the John E. Goode, Jr., Professor of Aerospace and Mechanical Engineering at the California Institute of Technology (Caltech). He has held roles including Director of the Graduate Aerospace Laboratories (2009–2015), Division Chair of Engineering and Applied Science (2015–2021), and currently serves as the Booth Leadership Chair (2015–2021). His academic journey includes a B.E. from the University of Madras (1981), followed by advanced degrees from Brown University (Sc.M. in Solid Mechanics, Applied Mathematics, and Ph.D. in 1987). He joined Caltech as an Assistant Professor in 1990, advancing through ranks to his current endowed chair. Ravichandran’s research focuses on deformation mechanisms, dynamic material behavior, wave propagation, and biomaterials. His work bridges micro/nano-scale mechanics with macroscopic material responses, including studies on composites, active materials, and cellular systems. Recent breakthroughs include insights into cell mechanics through mechanical topology and shock compression dynamics in advanced materials. Key achievements include the 2023 ASME Timoshenko Medal, 2024 Brown Engineering Alumni Medal, and election to India’s National Academy of Engineering and Academia Europaea. His experimental methodologies, such as 3D velocity measurements via stereo imaging, advance diagnostics in high-strain-rate mechanics. Ravichandran has pioneered shock compression studies in metallic alloys and polymeric lattices, contributing to energy absorption and failure prediction in aerospace systems. Leadership roles include steering interdivisional research at Caltech’s Graduate Aerospace Laboratories and fostering interdisciplinary collaborations. His work has implications for next-gen materials in aerospace, biomedical engineering, and geomechanics.

Giulio Trigiliaمشاهده پروفایل

استادیار

• Financial Economics
• Information Economics
• Contracts and Securities Design
• +۳ مورد دیگر

Giulio Trigilia is an Assistant Professor of Finance at the Simon School of Business, University of Rochester. He holds a PhD in Economics from the University of Warwick, alongside earlier degrees from the University of Bologna and Collegio Carlo Alberto. His research focuses on financial economics, information economics, contracts and securities design, and the history of finance with a 19th-century emphasis. Trigilia is a member of the Finance Theory Group (FTG) and teaches courses on corporate restructuring, investments, and agency theory. Education: BSc & MA in Political Science (University of Bologna), MSc Economics (Collegio Carlo Alberto), PhD Economics (University of Warwick) Research Interests: Financial Contract Design, Moral Hazard, Political Uncertainty, Debt Maturity Effects, and Historical Financial Markets Labs/Teams: Finance Theory Group (FTG) His recent work explores topics like voluntary corporate disclosure impacts, Brexit’s influence on exchange rates, and the dynamics of short-term debt overhang. He frequently examines how information asymmetries shape financial instruments and corporate policies. Trigilia’s research bridges theoretical models with historical market analysis, such as his study of 19th-century London Stock Exchange momentum effects. Notable contributions include resolving theoretical debates on pledgeability’s role in firm value and demonstrating how lender competition affects creditor rights’ real-world impact. His articles often propose novel mechanisms to address financing constraints and moral hazard challenges in corporate settings.

• Wearable Technology
• Human-Computer Interaction
• Smart Textiles
• +۷ مورد دیگر

Dr. Bai Ziqian is an Assistant Professor in the School of Automation and Intelligent Manufacturing at Southern University of Science and Technology (SUSTech) in Shenzhen, China. Recognized as a Pujiang Scholar and Shenzhen Pengcheng Peacock Talent, she has established herself as a leading researcher at the intersection of wearable technology, textile engineering, and human-computer interaction. Her work bridges technical innovation with practical design applications, focusing on user-centered solutions that enhance human experience through technology integration. Dr. Bai's educational background includes: PhD in Smart Wearable Product Design (2011-2015), Hong Kong Polytechnic University MA in Fashion and Textile Design (2005-2006), Hong Kong Polytechnic University BA in Fashion Design and Engineering (2001-2005), South China Agricultural University Her research spans wearable technology, tangible interactive interfaces, IoTs, ergonomics, functional garments, wearables for healthcare, material innovation, smart home applications, and user-centered design. Dr. Bai has pioneered work in smart wearable fabrics and sensing mechanisms based on flexible materials, with a particular focus on human-computer interaction theory and practice. She has established a research team that has mastered key technologies in smart fabrics, interactive textiles, physiological signal monitoring, and human-computer interaction systems. Her approach consistently emphasizes user-centered design principles, ensuring that technological innovations serve practical human needs while maintaining aesthetic appeal. Dr. Bai's publication record demonstrates a clear evolution from foundational work in photonic textiles toward increasingly sophisticated wearable healthcare and human-computer interaction systems. Her recent publications focus on advanced sensor technologies, energy harvesting for wearables, and sophisticated data analysis for human motion and physiological monitoring. The interdisciplinary nature of her work is evident in publications spanning materials science, biomedical engineering, textile technology, and design methodology, with papers appearing in high-impact journals including Advanced Functional Materials (IF: 19.5), ACS Sensors (IF: 8.9), and Computers in Industry (IF: 10). Dr. Bai has received numerous prestigious awards that highlight both the technical and artistic dimensions of her work: 2024 German Red Dot Design Award for Best Design 2013 Neo-Neon, permanent collection at China Silk Museum (State grade 1 museum) 2019 Finalist, ThermoBlanket, TechStyle for Social Good International Competition 2017 1st Prize Teaching Award, Donghua University 2017 China National Textile and Apparel Council Teaching Award Multiple Service Learning Awards from Hong Kong Polytechnic University She has successfully secured research funding from prestigious sources including the National Natural Science Foundation of China and Guangdong Province's General Project. Her projects include a collaborative effort with the Guangdong Provincial Department of Education and Li Ning Company on a 'flexible wearable lower limb functional electrical stimulation system.' Dr. Bai has extensive teaching experience across multiple institutions and has guided student teams to success in national competitions. She currently leads the Human-Computer Interaction Design Laboratory (HCID) at SUSTech, which focuses on advanced design, engineering, and technology research at the intersection of disciplines, training the next generation of interdisciplinary designers and engineers.

• Reliable and Fault-Tolerant Computing
• RISC-V Architecture
• FPGA-Based Systems
• +۱۲ مورد دیگر

Sarah Azimi is a fixed-term researcher at the Department of Control and Computer Science (DAUIN) within the College of Computer, Film and Mechatronics Engineering at Politecnico di Torino. She actively contributes to research and teaching in the domains of reliable computing, reconfigurable systems, and AI applications for space and smart city security. Research Interests: Reliability and fault tolerance in safety-critical and space systems RISC-V and FPGA-based architectures High-performance computing (HPC) and reconfigurable computing AI resilience and real-time gesture recognition for public safety Radiation effects and hardening techniques for aerospace applications Publication Trends: Her recent publications focus on RISC-V reliability, radiation effects in space missions, AI resilience in reconfigurable platforms, and smart city security through gesture recognition. Her work spans both journal and conference venues, emphasizing practical and mission-tailored solutions in embedded and aerospace computing. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Sarah Azimi supervises multiple PhD students including Federico Buccellato, Aobo Cui, and Giorgio Cora. She leads the competitive research project Safe Smart City: Detecting Violence and Requests for Help in Real Time Through Video Surveillance Devices (2024). She is also a member of the RAMSES CubeSat-1 Development project (2025–2026) and led the commercial research project on the Rempro fault-tolerant processor (2022–2023). Labs and Teams: She is a key member of the CAD - Electronic CAD & Reliability Group (DAUIN) at Politecnico di Torino, contributing to cutting-edge research in electronic design automation and system reliability for aerospace and terrestrial applications.

Adel Aazamiمشاهده پروفایل

استادیار

• Operations Research
• Optimization
• Supply Chain Management
• +۸ مورد دیگر

Dr. Adel Aazami is an Assistant Professor at the Institute of Transport Economics and Logistics at Vienna University of Economics and Business (WU Vienna) since 2023. His academic journey began with a B.Sc. in Industrial Engineering from University of Tehran (2010-2014), followed by an M.Sc. (2014-2016) and Ph.D. (2016-2021) from Iran University of Science and Technology (IUST), Tehran. Prior to his current position, he worked as a Postdoctoral Researcher at Sharif University of Technology (2021-2022) and was a Visiting Researcher at the University of Toronto (2020). His educational background includes: Ph.D. in Industrial Engineering (2016-2021) - Iran University of Science and Technology (IUST), Tehran, Iran M.Sc. in Industrial Engineering (2014-2016) - Iran University of Science and Technology (IUST), Tehran, Iran B.Sc. in Industrial Engineering (2010-2014) - University of Tehran, Tehran, Iran Dr. Aazami's research spans multiple interconnected domains within operations research and supply chain management. His primary focus areas include Operations Research and Optimization, Supply Chain and Logistics, Production and Distribution/Transportation Planning, Competition and Game Theory, Stochastic Programming, and Decomposition Algorithms. His work demonstrates a strong emphasis on developing mathematical models and optimization algorithms for complex supply chain problems, particularly those involving perishable goods, competitive environments, and sustainability considerations. He has made significant contributions to integrating environmental factors into traditional logistics problems and developing robust optimization approaches for supply chain networks. Analysis of Dr. Aazami's publication record reveals a consistent trajectory of increasingly sophisticated research in supply chain optimization. His work shows a clear progression from foundational mathematical optimization techniques to increasingly complex integrated problems involving multiple stakeholders, uncertainty, and environmental considerations. A notable trend is his focus on perishable products within supply chains, developing models that account for limited product lifetimes while optimizing across multiple echelons of the supply chain. More recently, his research has expanded to incorporate green logistics considerations, developing algorithms that balance economic and environmental objectives in transportation and distribution problems. His notable scientific achievements include: Winner of the 'Best Student' award among nationwide students evaluated by the Iranian Ministry of Science (2020) Winner of the Iranian Nobel Prize (known as the Alborz National Foundation Prize) (2019) Winner of the Best Student Award at IUST (2018) Winner of the Top Researcher Award at IUST (2018) Annual Awards of the National Elites Foundation Iran (2015-2020) Dr. Aazami has extensive teaching experience across multiple Iranian universities including Tehran University, Amirkabir Technical University, Isfahan University, Yazd University, Zanjan University, Damghan University, Abrar University and Iran Technical University. His peer review activities include reviewing for prestigious journals such as Soft Computing, Expert Systems with Applications, and Annals of Operations Research. While specific grant information isn't detailed in the provided text, his research output suggests active engagement with complex optimization problems relevant to transportation and logistics industries. At WU Vienna, Dr. Aazami is part of the research team at the Institute of Transport Economics and Logistics, working alongside other faculty members including Prof. Kummer and Prof. Wakolbinger. His research integrates theoretical optimization methods with practical applications in transportation and logistics, contributing to the institute's focus on sustainable and efficient supply chain solutions.

Ravinder Dahiyaمشاهده پروفایل

استاد

• Flexible Printed Electronics
• Soft Robotics
• Electronic Skin
• +۶ مورد دیگر

Ravinder Dahiya is a Professor in the Department of Electrical and Computer Engineering at Northeastern University's College of Engineering. He is also an Affiliated Researcher at the Dublin Innovation Institute. His research focuses on flexible printed electronics, soft robotics, electronic skin, and sustainable technologies, emphasizing biodegradable materials and energy-efficient systems. Education: PhD in Microelectronics from the Italian Institute of Technology (2009). Awards include Fellowships from IEEE, The Royal Society of Edinburgh, and The Institution of Engineers in Scotland, alongside the Microelectronic Engineering Young Investigator Award (2016). Research interests span tactile sensing, haptics, and wearable systems, with a lab (BEST Group) developing multidisciplinary solutions for societal challenges like electronic waste reduction. Key projects include self-powered energy harvesters and biodegradable triboelectric nanogenerators. Recent grants include a $230,000 NSF EAGER award for robotic e-skin integration. Media highlights include features in TechXplore and Chemical & Engineering News, along with speaking roles at global summits like the AI for Good Global Summit (2023). Labs/Teams: Bendable Electronics and Sustainable Technologies (BEST) Group, focusing on printed electronics, material science, and robotics.