جست‌وجوی استاد و پژوهشگر

Christoph Glockمشاهده پروفایل

استاد

• Supply Chain Management
• Production planning and control
• Warehouse management
• +۳ مورد دیگر

Christoph Glock is Professor and Head of the Production and Supply Chain Management field at the Department of Law and Economics, Technical University of Darmstadt, a position held since 2018. He previously served as Dean (2020-2022) and Pro-Dean (2018-2020) of the department and maintains an Adjunct Professorship at Toronto Metropolitan University. His academic foundation includes a PhD (2009) and habilitation (2011) from Julius-Maximilians-Universität Würzburg, where his doctoral research focused on supply chain coordination models. Glock's research program centers on mathematical optimization of global supply chains, with six core pillars: Supply Chain Management, Production Planning and Control, Warehouse Management, Environmentally Oriented Production Management, Management of Trading Companies, and Human Factors in Logistics. His work uniquely integrates human behavioral elements into operational decision models while addressing sustainability constraints in production systems, often developing novel algorithms for inventory routing and warehouse automation under real-world uncertainties. His exceptional scholarly impact is evidenced by consistent top rankings in German business research evaluations, including 5th place overall and 1st among professors under 40 in the 2020 Wirtschaftswoche ranking. Key honors include the Bernard J. LaLonde Best Paper Award (2022) from the Council of Supply Chain Management Professionals and the International Journal of Production Research Best Paper Award (2018). Editorial leadership includes Subject Editor roles at Applied Mathematical Modelling and Area Editor for Logistics at Computers & Industrial Engineering . Ranked 5th in 2020 Wirtschaftswoche Business Research Ranking (1st under 40) Bernard J. LaLonde Best Paper Award (2022) Athene Award for Teaching Excellence (2020) Three MIM Conference Commended Paper Awards (2019, 2022) Multiple Best Reviewer Awards from top journals As a highly active academic citizen, Glock serves on 6 editorial boards and has reviewed for over 30 journals including European Journal of Operational Research and Journal of Operations Management , earning recognition as an Outstanding Reviewer. His research group at TU Darmstadt collaborates with industry partners on human-centric warehouse automation projects while advising doctoral candidates in supply chain optimization, though specific student names aren't documented in source materials.

• Computer Networks
• Wireless Communication
• Reconfigurable Intelligent Surfaces (RIS)
• +۴ مورد دیگر

Christos Liaskos is an Assistant Professor at the Department of Computer Science and Engineering, University of Ioannina (UoI), Greece. He is also a researcher at the Foundation for Research and Technology-Hellas (FORTH). His expertise spans computer networks, wireless communication systems, and nanotechnology, with a focus on reconfigurable intelligent surfaces (RIS), metasurfaces, and their applications in 6G, IoT, and autonomous systems. He holds a PhD in Computer Networking from Aristotle University of Thessaloniki (AUTH) and has published extensively in IEEE venues. Education: Diploma in Electrical and Computer Engineering (AUTH, 2004) MSc in Medical Informatics (AUTH Medical School, 2008) PhD in Computer Networking (AUTH Informatics Department, 2014) Research Interests: Programmable wireless environments using software-defined metasurfaces RIS-assisted architectures for 5G/6G networks IoT and UAV communication systems Energy-efficient trajectory design for drones Beam steering and wavefront control in mmWave systems His recent work explores applications like RIS-based autonomous driving, optical wireless positioning, and fault-tolerant routing in metasurface networks. He contributes to open-source simulation frameworks (e.g., Cooperis) and collaborates on EU projects like VISORSURF, advancing the Internet-of-Materials concept.

• Robotics
• Artificial Intelligence
• Control Systems
• +۳ مورد دیگر

Ben Riviere is a Postdoctoral Scholar Research Associate in Mechanical and Civil Engineering at the California Institute of Technology (Caltech), part of the Division of Engineering and Applied Science. His research focuses on advanced robotics, artificial intelligence, and control systems, with a particular emphasis on multi-agent systems, motion planning, and optimization. He explores applications in aerospace systems, urban transportation, and distributed learning frameworks. Key research areas include Monte Carlo tree search algorithms, safety-certified motion planning for autonomous systems, and adaptive reinforcement learning for urban logistics. His work bridges theoretical advancements with practical implementations in robotics coordination, fault detection, and resource allocation. No scientific awards are explicitly mentioned in the provided information. Riviere has not listed any advisees or students, and grants or lab affiliations are not detailed in the text.

Yaser Al Mtawaمشاهده پروفایل

استاد

• Internet of Things (IoT)
• Wireless Sensor Networks (WSNs)
• Cyber-Physical Systems
• +۸ مورد دیگر

Dr. Yaser Al Mtawa is a faculty member with a focus on the Internet of Things (IoT), Wireless Sensor Networks, Cyber-Physical Systems, and Network Security. His research spans Smart Home Security, SDN-based Networking, Reliability, and Quality of Service (QoS). Education: PhD in Computer Science from Queen's University, Canada Research Interests: Dr. Al Mtawa investigates IoT and its intersections with AI/Machine Learning, Autonomous Networks, and Traffic Engineering. His work optimizes network reliability, security, and efficiency using advanced computational methods. Publication Trends: Recent articles focus on SDN optimization, anomaly detection, federated learning security, and IoT applications in agriculture. Keywords include Machine Learning, Network Reliability, and Wireless Technologies. Teaching: He teaches courses such as Operations Research in Computer Science , Wireless Networking Paradigms , and Advanced Internet Programming , emphasizing learner-centered environments and practical applications. Research Team: Supervises current MSc students (MD Imtiaz Ahmed, Sayed Saminur Rahman, Tanvir Ornob) and past students (Mohammadreza Khorramfar, Arnold Brendan Osei), fostering interdisciplinary collaboration in IoT and network security.

Vatsal Maruمشاهده پروفایل

استادیار

• Applied Machine Learning
• Optimization Algorithms
• Scheduling Algorithms
• +۵ مورد دیگر

Vatsal Maru is an Assistant Professor of Instruction in the Department of Information Systems at the Jindal School of Management (JSOM), University of Texas at Dallas. His expertise lies at the intersection of applied machine learning, optimization algorithms, and industrial operations. He holds a PhD in Information Systems (2022), MS (2017), and BE (2013) from Wichita State University and Gujarat Technological University, respectively. His research focuses on leveraging AI and optimization techniques to address complex challenges in supply chain networks, scheduling systems, and cyber-physical frameworks. Key areas include real-time industrial operations, decentralized decision-making, and crisis-resilient logistics. Courses taught include Object-Oriented Programming in Python, Web Analytics, and MIS-related curricula. Maru’s recent work explores deep reinforcement learning applications for aircraft scheduling and vehicle routing optimization, alongside IoT-driven cyber-physical systems for smart manufacturing. His publications emphasize real-world problem-solving, such as improving pandemic-era supply chains and enhancing student outcomes via assessment frameworks. Active in professional organizations like the Society of Manufacturing Engineers and IISE, he bridges academic research with industrial practice. His contributions span over a decade of work in computational intelligence, optimization modeling, and systems design.

Christiane Schmidtمشاهده پروفایل

عضو هیئت علمی

• Algorithm Design and Analysis
• Computational Geometry
• Air Traffic Management
• +۳ مورد دیگر

Christiane Schmidt is a Senior Associate Professor at Linköping University's Department of Science and Technology (ITN), affiliated with the Communications and Transport Systems (KTS) research group. Her work focuses on algorithm design, air traffic management, railway optimization, and computational geometry. She contributes to both academic research and practical solutions for transportation systems. Education and Research: While specific educational details are not provided, her research emphasizes algorithmic solutions for complex transportation challenges. Her team develops models for air traffic controller workload prediction using machine learning and explores late train-crew rescheduling via heuristic approaches. Research Interests: Key areas include railway traffic optimization, air traffic management systems, and computational geometry applications. Recent projects involve guard route optimization for polygons, multi-agent path planning, and automated aircraft arrival scheduling. Publications: Her 2025 work highlights advancements in tabu-search-based scheduling, machine learning for air traffic analysis, and train path insertion methods. Earlier papers address workforce scheduling and disaster recovery in transportation networks. Labs and Teams: Active within the Communications and Transport Systems group, she collaborates on projects like the Flight Logistics Unit (FL) and contributes to initiatives like B-PREPARED for disaster preparedness.

Nie Xiaofengمشاهده پروفایل

دانشیار

• Humanitarian Logistics
• Homeland Security
• Supply Chain Risk Management
• +۳ مورد دیگر

Nie Xiaofeng is an Associate Professor in the Department of Industrial Distribution at Texas A&M University, part of the College of Engineering Technology & Industrial Distribution. His research focuses on humanitarian logistics, homeland security, supply chain risk management, and applied operations research. He holds a Ph.D. in Operations Research from the University at Buffalo (2008), an M.Phil. in Systems Engineering from The Chinese University of Hong Kong (2002), and a B.E. in Civil Engineering from Harbin Institute of Technology (2000). His research interests emphasize optimizing emergency response systems, disaster logistics, and infrastructure protection. Notable contributions include stochastic programming models for casualty response during health crises, port security detector placement, and supply chain strategies under volatility. He has published extensively in journals like Transportation Science and Annals of Operations Research, addressing topics ranging from railcar optimization to airport security systems. His work bridges theoretical operations research with real-world applications in crisis management, infrastructure resilience, and homeland security. Recent publications explore multi-trip route planning for time-sensitive disasters, ambulance bus routing strategies, and budget allocation for airport network protection.

• Blockchain Technology
• Cybersecurity
• Healthcare Systems
• +۳ مورد دیگر

Kamanashis Biswas is a Senior Lecturer at the Peter Faber Business School within the Faculty of Law and Business. His research focuses on blockchain technology, cybersecurity, IoT systems, federated learning, and healthcare applications. He has published extensively on topics such as blockchain interoperability, secure communication in wireless networks, and AI-driven healthcare solutions. Recent work includes studies on blockchain integration in UAV networks and explainable artificial intelligence. Key research areas include cross-blockchain protocols, energy-efficient wireless sensor networks, and blockchain-based frameworks for healthcare and finance. His contributions span both theoretical advancements and practical implementations, such as vaccine tracking systems and secure data-sharing mechanisms for wearable devices. Publications highlight interdisciplinary applications of blockchain in domains like smart cities, IoT platforms, and cybersecurity. Collaborations often involve addressing challenges in decentralized systems, privacy preservation, and system interoperability.

• Blockchain Technology
• Decentralized Systems
• Cybersecurity
• +۳ مورد دیگر

Martin Florian is a researcher affiliated with the Weizenbaum Institute in Berlin, Germany. He holds a PhD in Computer Science from the Karlsruhe Institute of Technology (2016). His research focuses on decentralized systems, blockchain technology, privacy-preserving mechanisms, and smart traffic systems. Key contributions include analyzing federated Byzantine agreement systems, studying NFT infrastructures, and exploring privacy in vehicular networks. His work spans cybersecurity, distributed computing, and cooperative services. Notable projects include collaborations on Ethereum peer analysis, IPFS network mapping, and pseudonymization techniques for decentralized platforms. Florian's research addresses challenges in data privacy, consensus protocols, and decentralized infrastructure scalability.

• Logistics
• Operations Research
• Optimization Algorithms
• +۳ مورد دیگر

Anna Konovalenko is a Research Fellow in the Faculty of Logistics at Molde University College - Specialized University in Logistics (HiMolde). Her research focuses on optimizing logistics systems using advanced computational methods, particularly machine learning and deep reinforcement learning. She is affiliated with the ABC-AI research group (Applied, Basic, and Conscientious Artificial Intelligence). Her work addresses challenges in vehicle routing problems, including hidden constraints detection and dynamic optimization. Recent publications highlight contributions to combining machine learning with traditional operations research techniques to improve logistics efficiency.

• Multi-scale Modeling
• Powder Forging
• Mechanical Engineering
• +۶ مورد دیگر

Mr. Yi Wang is a researcher at the Department of Mechanical Engineering, Imperial College London, specializing in Multi-scale Modeling of Powder Forging and related fields. His work bridges mechanical engineering, energy systems, and artificial intelligence. University: Imperial College London Department: Department of Mechanical Engineering Research Interests include electric vehicle-grid integration, microgrid resilience, reinforcement learning applications in energy systems, and multi-energy network optimization. His publications emphasize AI-driven strategies for low-carbon transitions and grid stability. Email: yi.wang12@imperial.ac.uk

• Robotics
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Kuan Fang is an Assistant Professor of Computer Science at Cornell University, specializing in robotics, machine learning, and computer vision. His research focuses on enabling robots to perform complex tasks in unstructured environments through deep learning-based perception and control systems. Previously, he was a postdoc at UC Berkeley under Sergey Levine and earned his Ph.D. and M.S. from Stanford University under Fei-Fei Li and Silvio Savarese, with a B.S. from Tsinghua University. He has also worked at RAI Institute, Google Brain, Google X Robotics, and Microsoft Research Asia. Education: Ph.D. & M.S., Computer Science, Stanford University Bachelor's Degree, Tsinghua University Research Interests: Robot manipulation and control Reinforcement learning and policy optimization Robot perception and vision-language integration Generalization in robotics across tasks, environments, and robots Open-world robotic systems leveraging large-scale data Teaching: CS 6758: Deep Learning for Robotics (Fall 2024) CS 4756: Robot Learning (Spring 2025) Lab & Collaborations: His lab at Cornell develops scalable algorithms and systems for robotic perception and control, emphasizing data-driven methods. Notable work includes ReLIC for interlimb coordination, GLIDE for bimanual manipulation, and TRA for compositional task execution. He collaborates with institutions like Boston Dynamics AI Institute and UC Berkeley.

• Green Logistics
• Operational Research
• Artificial Intelligence
• +۱۲ مورد دیگر

Emrah Demir is a Professor of Operational Research in the Department of Logistics and Operations Management at Cardiff Business School, Cardiff University . Prior to this, he was an Assistant Professor at Eindhoven University of Technology, Netherlands. He holds a PhD in Management Science from the University of Southampton and degrees in Industrial Engineering from Baskent University, Turkey. Education: PhD in Management Science, University of Southampton, UK (2012) MSc in Industrial Engineering, Baskent University, Turkey (2008) BSc in Industrial Engineering, Baskent University, Turkey (2005) His research centers on green logistics, artificial intelligence, human/AI collaborative decision-making, and operational research , with a focus on optimizing freight transportation and supply chains for sustainability. He applies quantitative and analytical methods—including exact and heuristic optimization techniques—to address real-world logistics challenges. His recent work explores AI-driven routing, drone and robot delivery, maritime emissions, and behavioral aspects of algorithm adoption. The analysis of his recent publications reveals a strong integration of AI, sustainability, and logistics optimization . Key themes include last-mile delivery with autonomous systems, green vehicle routing, maritime decarbonization, and human-AI collaboration in decision-making. His work spans both theoretical modeling and practical applications in industry contexts, particularly with Ocado and in international sustainability initiatives. Scientific Contributions and Editorial Roles: Area Editor, Journal of Heuristics (Logistics and Supply Chain Management) Associate Editor, IMA Journal of Management Mathematics Associate Editor, Frontiers in Future Transportation – Freight Transport and Logistics Associate Editor, OR Spectrum Associate Editor (Engineering), Arabian Journal for Science and Engineering (from 2025) He has secured multiple external grants, including from the Colombia-UK PACT Programme (GIRO-ZERO) and Ocado Group plc , focusing on decarbonizing freight and optimizing supply chains. He supervises several PhD students on topics such as driver behavior, AI collaboration, and greenhouse gas emissions in shipping. He has held academic leadership roles including Programme Director for the MSc in Logistics and Operations Management and Deputy Head of Section for Learning & Teaching. Research Labs and Teams: He is affiliated with the Logistics and Systems Dynamics Group (LSDG) , Co-Director of the PARC Institute of Manufacturing, Logistics and Inventory , and Director of the Business & Economics Artificial Intelligence Research (BEAR) Network , reflecting his interdisciplinary engagement in AI, logistics, and sustainable operations.

• Supply Chain Optimization
• Supply Chain Analytics
• Freight Transportation
• +۵ مورد دیگر

Michael Hewitt is a Professor of Supply Chain Management at the Quinlan School of Business, Loyola University Chicago, where he holds the Ralph Marotta Chair in Free Enterprise. He serves as Executive Director of the Quinlan Business Leadership Hub and Director of the Supply Chain and Sustainability Center, playing key leadership roles in academic and research initiatives. His research focuses on Supply Chain Optimization , Freight Transportation , and Network Design , leveraging advanced mathematical modeling and operations research techniques. His work bridges theoretical innovation with practical applications in logistics and transportation industries. The 15 most recent publications (limited here to 5) reflect a strong trend in continuous-time network modeling , dynamic discretization methods , and large-scale optimization for freight and service network design. His research spans disciplines including Operations Research, Transportation Science, and Supply Chain Analytics, with recurring subfields such as Benders decomposition, time-expanded networks, and resource-constrained pathfinding. Scientific Awards: CSoNet Best Paper Award 2023 INFORMS TSL Freight Transportation & Logistics SIG Best Paper Award 2021 Glover-Klingman Prize 2019 INFORMS TSL Best Paper Award 2018 Loyola Faculty Researcher of the Year 2015 Dr. Hewitt has secured research funding from the National Science Foundation , Material Handling Institute , and New York State Health Foundation . He actively mentors students through research collaboration and has advised projects with real-world impact at companies like Bayer Crop Science , Exxon Mobil , and Schneider . He serves on editorial boards and holds leadership roles in INFORMS , including past presidency of the Transportation Science and Logistics Society. He leads two major centers: the Supply Chain and Sustainability Center and the Quinlan Business Leadership Hub , fostering interdisciplinary research, industry partnerships, and student development in supply chain and leadership education.

Anna Sperottoمشاهده پروفایل

دانشیار

• Internet Security
• Network Measurements
• DDoS Attacks
• +۳ مورد دیگر

Dr. Anna Sperotto is an Associate Professor in Proactive Network Security at the University of Twente's Design and Analysis of Communication Systems (DACS) group. She holds a PhD in Computer Science (2010) and MSc/BSc degrees from Ca' Foscari University. Research Focus: Internet security, network measurements, DDoS attacks, DNS infrastructure vulnerabilities Projects: MASCOT (2019), MADDVIPR (NWO-DHS), TIDE (SIDNfonds), H2020 CONCORDIA Her recent publications examine DNS reflection attacks, DDoS mitigation, and network security through active measurement systems. Key trends include DNSSEC security analysis, domain hijacking prevention, and cryptographic efficiency in network protocols. Scientific Awards: Best Paper at IMC 2020 and EUNICE 2009 IRTF Applied Networking Research Prizes (2015, 2013) Academic Service: General Co-Chair, IMC 2019 TPC Co-Chair, PAM 2020 Steering Committee: TMA, AIMS Editorial roles in ACM SIGCOMM CCR, IJNM, JNSM Current PhD Students: Matteo Liberato Sousan Tarahomi Etienne Khan Ramin Yazdani Raffaele Sommese