جست‌وجوی استاد و پژوهشگر

Qing Tangمشاهده پروفایل

استادیار

• Connected and Automated Vehicles
• Traffic Flow Modeling
• Transportation Data Analytics
• +۵ مورد دیگر

Dr. Qing Tang is an Assistant Professor in the Department of Civil & Environmental Engineering at Old Dominion University (ODU), affiliated with the Batten College of Engineering and Technology and the Institute for Autonomous and Connected Systems. She holds a Ph.D. in Transportation Engineering from Pennsylvania State University (2023), an M.S. in Insurance and Actuarial Science from Central University of Finance and Economics (2013), and a B.S. in Information and Computing Science from Hubei University of Education (2011). Her research focuses on Connected and Automated Vehicles (CAVs), Traffic Flow Modeling, and AI-driven Transportation Data Analytics. Specific interests include autonomous vehicle deployment in work zones, traffic flow optimization, and smart infrastructure sustainability. Dr. Tang has conducted postdoctoral research at Georgia Institute of Technology and has received awards such as the 2025 Summer Research Fellowship (ODU) and the 2023 Mark E. and Claire L. Alpert Graduate Fellowship. Her articles explore topics like cooperative perception for CAVs, autonomous maintenance systems in work zones, and privacy-aware data publishing. Recent work emphasizes analytical models for multi-state merging processes and intersection deadlock analysis using Petri nets. She contributes to developing guidelines for leader-follower autonomous systems and evaluates their traffic safety impacts. Awards: 2025 SRFP Award, 2023 Alpert Fellowship, 2022 Russell Fellowship, and multiple competition recognitions. Labs/Teams: Active in ODU's Institute for Autonomous and Connected Systems.

Dai H. Chungمشاهده پروفایل

استاد

• Pediatric Surgery
• Neuroblastoma Research
• Burn Injury Management
• +۳ مورد دیگر

Dai H. Chung is a Professor in the Department of Surgery at UT Southwestern Medical Center, specializing in pediatric surgery. He joined the faculty in 2018 after completing medical training at the University of Texas Medical Branch (UTMB) in Galveston, followed by advanced fellowships at Cincinnati Children’s Hospital, NIH (Shriners Burns Hospital), and UTMB. Certified by the American Board of Surgery in pediatric surgery, his professional roles include serving as President of the Society of University Surgeons Foundation, Director of the American Board of Surgery, and Chairman of its Maintenance of Certification Exam Committee. Dr. Chung’s research focuses on pediatric surgical oncology (e.g., neuroblastoma), burn injury pathophysiology, and surgical outcomes optimization. He has published over 130 articles and contributed to numerous books, with awards including the 2017 Society of University Surgeons Travel Award. He is a sought-after speaker and editorial board member for journals like JAMA Surgery and Cancer Research Frontiers . His surgical expertise spans congenital anomalies, trauma, and oncologic interventions, with a strong emphasis on translational research bridging molecular mechanisms and clinical care. Key contributions include studies on intestinal homeostasis post-burn and targeted therapies for neuroblastoma.

Peder Veng Søbergمشاهده پروفایل

دانشیار

• Sustainable Supply Chain Management
• Additive Manufacturing
• Knowledge Management
• +۳ مورد دیگر

Peder Veng Søberg is an Associate Professor at the Department of Engineering Technology and Didactics Production, Transportation and Planning at the Technical University of Denmark (DTU). His work contributes to the UN Sustainable Development Goals, particularly in sustainable supply chain management and innovation. He holds an office at Lautrupvang 15 in Ballerup, Denmark, and can be reached at peders@dtu.dk . His research focuses on additive manufacturing, knowledge management in SMEs, sustainability performance, and supply chain strategies. Key areas include optimizing part identification for 3D printing, aligning university-industry collaboration, and evaluating ERP systems for small businesses. His work bridges technical and educational aspects of engineering technology. Recent publications highlight trends in sustainability innovation, disruptive organizational adaptation, and leveraging AI in emerging markets. His projects include the BB2: Bæredygtig Bundlinje 2.0 initiative addressing sustainable practices in supply chains. No scientific awards are listed, but his contributions emphasize practical industry applications and educational partnerships.

• Artificial Intelligence
• Cybersecurity
• Internet of Things
• +۴ مورد دیگر

Dr. Mabrouka Abuhmida is a Senior Lecturer in Computing and Mathematical Sciences at the University of South Wales. She holds dual leadership roles as Research and Innovation Group Leader and Course Leader for MSc/BSc AI programs. Her research focuses on Artificial Intelligence applications in Digital Healthcare Transformation, Cybersecurity, and Internet of Things (IoT), particularly in medical and infrastructure contexts. She leads initiatives spanning Computer Science, Data Science, and AI, emphasizing collaborations between academia and industry. Her research interests include Deep Learning, Natural Language Processing (NLP), and empowering women in STEM. Notable projects include developing Annie the chatbot, an empathy-focused NLP tool, and frameworks for IoMT security. She has pioneered work on AI-based intrusion detection in Industrial Control Systems (ICS) and cybersecurity dynamics in critical infrastructure. Publications highlight her cross-disciplinary work across AI ethics, structural health monitoring, and forensic data automation. Recognized for advancing women's participation in STEM, she actively bridges academic research with real-world tech adoption through student-business partnerships. Responsibilities include spearheading: IoT and Machine Learning initiatives Deep Learning in healthcare cybersecurity Natural Language Processing for case management Her lab focuses on AI-driven solutions for digital transformation challenges in healthcare and infrastructure sectors.

Ross Carlsonمشاهده پروفایل

استاد

• Metabolic Engineering
• Biofilm Engineering
• Microbial Consortia
• +۵ مورد دیگر

Ross Carlson is a Professor of Chemical and Biological Engineering at Montana State University's College of Engineering, affiliated with the Center for Biofilm Engineering. His research focuses on metabolic engineering, microbial consortia dynamics, and chronic wound biofilms. He holds a PhD in Chemical Engineering from the University of Minnesota (2003). Key research interests include metabolic network modeling, biofilm community behavior, and synthetic biology applications. He has pioneered studies on reverse diauxie in Pseudomonas aeruginosa and engineered microbial consortia for biofuel production and bioremediation. Recent work highlights metabolic resource allocation strategies, cross-feeding dynamics, and systems-level analysis of chronic wound infections. His team has developed computational models to predict microbial community behavior and design bioengineered systems. Notable achievements include securing $3 million in graduate research funding (2021), U.S. Army grants for biomining research (2019), and collaborative projects with industry partners like Nature's Fynd. His research spans laboratory studies to industrial applications in biofuel production and microbial ecology. Dr. Carlson's work integrates experimental and computational approaches, emphasizing stoichiometric modeling, proteomics, and metabolomics. He collaborates with interdisciplinary teams to address challenges in biotechnology, environmental engineering, and medical microbiology.

• Augmented Reality
• Virtual Reality
• Manufacturing Systems
• +۳ مورد دیگر

Joachim Paul Althaler is a Professor at the University of Applied Sciences Steyr, affiliated with the Research Center Steyr's Center of Excellence for Smart Production. His academic focus centers on advanced manufacturing processes, augmented and virtual reality applications, and design optimization. He has contributed to over 17 peer-reviewed publications since 1996 and holds an h-index of 57 with 3 citations. Research Projects: He co-led the "Human Centered Workplace" project (2016-2021), focusing on workplace innovation and smart production systems. His work explores AR/VR solutions for assembly training, maintenance support, and fracture analysis in materials. Professional Activities: Althaler actively organizes major industry forums, including the "Forum Produktion & Management" from 2018 to 2022, fostering interdisciplinary collaboration in manufacturing and industrial engineering. Labs/Teams: Part of the Smart Automation and Robotics team within the Research Center Steyr, contributing to cutting-edge production technology research.

• Industry 4.0
• Blockchain
• Technology Innovation
• +۲ مورد دیگر

Yong Chen is an Assistant Professor in the Division of International Business and Technology Studies at Texas A&M International University's A.R. Sanchez, Jr. School of Business. His research focuses on Industry 4.0 technologies, blockchain applications, and technology innovation in business contexts. He holds a Ph.D. in Business Administration (Information Systems) from Old Dominion University, an M.A. in Education Technology from San Diego State University, an M.A. in Advertising from Michigan State University, and a B.A. in Advertising from Peking University. Dr. Chen's research encompasses technological standardization, information systems integration, and the business implications of emerging technologies. His recent publications analyze blockchain implementation, artificial intelligence in entrepreneurship, and sustainable growth in telecommunications. His articles demonstrate consistent focus on technology-driven innovation across industries, with recent work examining deepfake advertising effects, AI-enabled entrepreneurial ecosystems, and sustainable telecom operations. The research employs diverse methodologies including bibliometric analysis, structural equation modeling, and empirical case studies.

• Operational Research
• Optimization Methods
• Logistics and Supply Chain Management
• +۷ مورد دیگر

Manuel Iori is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia (UNIMORE), Italy. His primary research focuses on operational research, optimization methods, and logistics systems. He specializes in vehicle routing problems, scheduling algorithms, and decision support systems with applications in industrial automation, healthcare, and service industries. Iori is actively involved in teaching advanced optimization courses for engineering students, emphasizing practical applications in data-driven decision-making and simulation. Research Interests: His work addresses complex optimization challenges such as multi-trip vehicle routing with time windows, scheduling under resource constraints, and tool switching in manufacturing systems. He integrates machine learning and metaheuristics to develop innovative solutions for logistics, production planning, and healthcare operations. Collaborations with industry partners (e.g., pharmaceutical distributors, printing companies) ensure practical relevance of his research. Teaching: Iori teaches courses like Optimization Methods for Data-Driven Engineering Processes , Models for Logistics and Production Optimization , and Methods and Algorithms for Optimization in Digital Industries . These courses combine theoretical foundations with hands-on labs using tools like Python, Xpress, and Anylogic. Key Contributions: He developed decision support systems for multi-trip routing in pharmaceutical distribution and supplier selection in facility management. His research on satellite scheduling and attended home delivery systems advances both theoretical and applied domains. As a member of CIRRELT (Canada), he collaborates on logistics optimization projects. Professional Activities: Iori’s work is reflected in over 80 peer-reviewed publications and contributions to conferences. He advises graduate students on optimization challenges and serves as a reviewer for top journals in operations research.

• Robotics
• Multi-robot Systems
• Control Systems
• +۴ مورد دیگر

Lorenzo Sabattini is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia, Italy. His research focuses on multi-robot systems, decentralized estimation/control, and human-robot interaction. He holds a Ph.D. in Control Systems and Operational Research from the University of Bologna (2012), and has been a Visiting Researcher at the University of Maryland (2010). He served as a founding co-chair of the IEEE RAS Technical Committee on Multi-Robot Systems from 2014–2021. His work has been recognized with awards such as the Fabrizio Flacco Young Author Best Paper Award (2018) and the IEEE RAS Most Active Technical Committee Award (2018). Research interests include multi-robot coordination, coverage control, human-robot collaboration, and Industry 5.0 applications. Notable projects involve digital twins for operator well-being, AGV fleet management, and socially acceptable robotics. He has organized workshops at IEEE ICRA, RSS, and ERF, and serves as an Associate Editor for International Journal of Robotics Research (2023–2024) and IEEE Robotics and Automation Letters (2015–2018). Publications span topics like connectivity maintenance in robot networks, multimodal stress assessment in HRC, and resilient multi-robot systems. He actively collaborates on industrial automation projects, such as the INCLUSIVE system for adaptive HMIs and autonomous depalletizing systems. His research bridges theory and practice, addressing challenges in logistics, manufacturing, and human-centric robotics.

Yashwant Sinhaمشاهده پروفایل

عضو هیئت علمی

• Renewable Energy Systems
• Offshore Wind Turbine Maintenance
• Predictive Maintenance Algorithms
• +۳ مورد دیگر

Yashwant Sinha, Ph.D., is an Instructor and MET Program Advisor at the Department of Electrical & Computer Engineering and Mechanical Engineering within the Henry M. Rowan College of Engineering at Rowan University. His expertise lies in renewable energy systems, particularly offshore wind turbine maintenance optimization and predictive maintenance strategies. Dr. Sinha holds a Ph.D. from Robert Gordon University (UK), an M.Phil. from the University of Cambridge (UK), and a B.E. from Sikkim Manipal Institute of Technology (India). His research focuses on improving offshore wind energy infrastructure through advanced maintenance models, condition monitoring techniques, and failure prognostics. Notable contributions include developing the Gestione software package for offshore wind turbine maintenance optimization and a wind farm maintenance management tool (patent pending). Key research trends across his work include integrating predictive analytics into maintenance frameworks, enhancing component reliability in harsh offshore environments, and optimizing lubrication systems for gearbox longevity. His recent presentations address human productivity improvements and risk mitigation in offshore operations. Awards: ETP Ph.D. Scholarship, ETP Conference 2013 Poster Award Memberships: ASQ, IEEE, NSPE, HEA (UK) Dr. Sinha advises on MET programs and collaborates internationally, evidenced by his participation in UK-China conferences on wind energy in cold climates and presentations at global forums like the Offshore Wind Power Conference (2021). His work bridges theoretical advancements in power electronics with practical offshore maintenance challenges.

Yanyu Wangمشاهده پروفایل

استادیار

• Artificial Intelligence in Construction
• Infrastructure Management
• Sustainable Communities
• +۳ مورد دیگر

Yanyu Wang, Ph.D. , is an Assistant Professor at the Bert S. Turner Department of Construction Management within Louisiana State University's College of Engineering . Specializing in artificial intelligence and infrastructure management, Dr. Wang's research addresses data sharing practices, sustainable construction, and vision-based safety systems. Contact: yanyuwang@lsu.edu Ph.D., Civil and Environmental Engineering (Infrastructure Management), Carnegie Mellon University, 2023 M.S. & B.S., Construction Management, Huazhong University of Science and Technology, 2018 & 2016 B.S., Law (Minor), Wuhan University, 2016 Dr. Wang's research spans advanced AI applications in construction, including data sharing frameworks , reinforcement learning for construction automation , and vision-based safety systems that leverage crowdsourced labeling. Current work explores sustainable infrastructure operation and modular construction optimization. Publications reveal expertise in data governance for civil infrastructure, predictive modeling of human errors in air traffic control systems, and AI-driven construction safety . Key themes include digital transformation, interdisciplinary collaboration, and sustainable urban development.

Majid Eskandarpourمشاهده پروفایل

دانشیار

• Operations Management
• Supply Chain Network Design
• Sustainable Logistics
• +۱ مورد دیگر

Majid Eskandarpour is Associate Professor at IÉSEG, specializing in Operations Management. His research focuses on sustainable supply chain network design, logistics optimization, and renewable energy operations. Dr. Eskandarpour holds a Ph.D. in Management Sciences from Ecole des Mines de Nantes, a Master's in Industrial Engineering from Tarbiat Modares University, and a Bachelor's from Azad University. His research explores multi-objective optimization in healthcare networks, disruption management in distribution systems, and maintenance routing for offshore wind farms. Methodologically, he develops exact algorithms and metaheuristic approaches for complex logistics problems. Before academia, he held industry positions as Production Planning Manager at Iran Booster Co and industrial planning roles at Solico Group.

• Artificial Intelligence
• Smart Grids
• Machine Learning
• +۵ مورد دیگر

Carlos Ramos is a researcher affiliated with the University of Porto's Faculty of Engineering and the Polytechnic Institute of Porto's GECAD Research Group. He holds a PhD in Electrical Engineering and Computers from the University of Porto (1993). His work focuses on AI applications in energy systems, ambient intelligence, and agent-based systems. Ramos has collaborated extensively with researchers like Zita A. Vale and Sabah Mohammed on projects involving smart grids, manufacturing optimization, and cyber-physical systems. Research Interests : His primary areas include artificial intelligence, smart grids, machine learning, agent-based systems, and ambient intelligence. Recent work emphasizes explainable AI models in building energy management and genetic algorithms for industrial scheduling. Publications : Ramos has over 138 publications spanning journals like Engineering Applications of Artificial Intelligence and IEEE Transactions on Intelligent Systems . Key themes include AI-driven energy optimization, IoT applications in smart cities, and multi-agent systems for market simulation. His work often bridges theoretical AI with practical industrial and healthcare applications. Labs/Teams : Active in the GECAD Research Group, focusing on intelligent engineering solutions. Collaborates with international partners on projects like the Mascem electricity market simulator and the ISEM agent-based marketplace.

• Information Systems
• Knowledge Management
• Computer-Supported Collaborative Work
• +۴ مورد دیگر

Niclas Eberhagen is an Associate Professor of Informatics at Linnaeus University, Sweden. His research focuses on computer-supported knowledge work systems within social learning contexts, emphasizing user participation and knowledge communication. He has led EU-funded projects like Dynamite (2006-2009), collaborating with industry partners like Fiat, Volvo, and Goratu. His work integrates social and situated learning theories with design science and knowledge management. Eberhagen holds a Doctoral Thesis (2011) and a Licentiate Thesis (1999) from Linnaeus University. His research has been published in journals like Social Technologies and Journal of Systems and Information Technology . Awards include the Outstanding Ph.D. Thesis Award (2007) and the Sabanci University Publication Award (2009). He is affiliated with the Linnaeus University Centre for Data Intensive Sciences and Applications (DISA), contributing to e-Health innovations.

• Smart Grids
• Power Distribution Networks
• Renewable Energy Systems
• +۳ مورد دیگر

Ayman Eltantawy is an Adjunct Assistant Professor at the University of Waterloo. His affiliations include membership in the Adjunct faculty and Faculty groups. His research focuses on advancing smart grid technologies, particularly in hybrid AC-DC distribution systems, renewable energy integration, and energy storage solutions. Key areas of interest include stochastic planning frameworks, load flow analysis, and optimization algorithms for improving grid reliability and efficiency. His work emphasizes practical applications such as PATREM (Performance Assessment Tool for Remote Electrical Microgrids), flywheel storage enhancement, and online DG connection assessments. The articles highlight trends in hybrid system configurations, renewable resource management, and grid modernization strategies. Notably, his research bridges theoretical models with real-world implementation challenges in smart grid infrastructure. While no specific advising or grant information is provided, his contributions to grid optimization and energy storage indicate active engagement in collaborative academic and industrial projects. His publications span from 2011 to 2019, reflecting sustained focus on evolving smart grid challenges.