جست‌وجوی استاد و پژوهشگر

Muhammet Mustafa Kahramanمشاهده پروفایل

دانشیار

• Mining Methods and Mine System Analysis
• Mining Economics
• Mine Design and Operation
• +۷ مورد دیگر

Assoc. Prof. Dr. Muhammet Mustafa Kahraman is an Associate Professor at the Department of Mining Engineering, Faculty of Mines, Istanbul Technical University. His research focuses on Mining Methods, Mine System Analysis, Mining Economics, Mine Design, and Occupational Safety in Mines. He holds a PhD from the University of Arizona and has extensive industry experience in data-driven solutions for mining operations. Education: PhD in Mining and Geological Engineering from University of Arizona (2011–2015), BSc in Mining Engineering from ITU (2002–2007) Research interests include integrating computer vision, automation, and data analytics into mining operations. His work addresses challenges in mine safety, environmental impact, and operational efficiency. Recent projects involve real-time fleet management systems and dust control in coal mines. He actively collaborates with global mining firms like Rio Tinto and Peabody Energy. Notable publications cover topics such as lean mine management, blockchain for conflict minerals, and predictive maintenance using sequential pattern mining. He has supervised multiple theses on occupational safety legislation and mine planning. Academic roles include Vice President of the Mining Engineering Department at ITU and former Head of Department at Gumushane University. He has coordinated international projects on mine automation and data-driven decision-making.

• Production Planning
• Geological Modeling
• Resource Estimation
• +۷ مورد دیگر

Dr. Kürşat Hasözdemir is a Research Assistant at the Department of Mining Engineering, Istanbul Technical University (ITU), with expertise in production planning, geological modeling, and operations research. He holds a PhD in Mining Engineering from ITU (2019–2024), following a Master's (2017–2019) and Bachelor's (2014–2017) in the same field. His research focuses on optimizing open-pit mining operations through advanced methodologies like computer vision, multi-objective programming, and parametric analysis. His work addresses challenges in fleet management, production scheduling, and resource estimation, contributing to sustainable mining practices aligned with UN SDGs. Notable research includes real-time truck dispatching systems and enhanced integer programming models for long-term mine planning. Hasözdemir's publications span topics from injection foam optimization for material strengthening to pit limit analysis. He collaborates internationally and maintains active profiles on Scopus, Google Scholar, and ResearchGate.

• Mining Engineering
• Simulation
• Geostatistics
• +۵ مورد دیگر

Richard Durham serves as an Adjunct Associate Professor in the School of Engineering at The University of Western Australia, specializing in mining engineering with expertise in simulation, geostatistics, orebody modelling, and visualization techniques. Education: BSc, London PhD, London DIC (Diploma of Imperial College) ARSM (Associate of the Royal School of Mines) MAusIMM (Member of the Australasian Institute of Mining and Metallurgy) Research Focus: His work integrates computational methods with mining operations, emphasizing optimization algorithms for mine planning, cemented paste backfill design, and production scheduling. Key contributions include applying particle swarm optimization and AI to solve complex problems in resource allocation and cost modeling, aiming to enhance operational efficiency and economic returns in mining contexts. Publication Trends: Recent publications (2020-2022) demonstrate a strong focus on algorithm-driven decision systems for mine production and backfill mixture design, building on earlier foundational work in pushback optimization and maintenance strategy simulation. The research consistently bridges theoretical modeling with practical mining applications. Awards: No scientific awards were documented in the provided profile. Supervision: Durham has supervised 2 graduate students as indicated by the "Supervised Work (2)" metric in his research profile, though specific student names and projects are not listed.

Georgios Xiroudakisمشاهده پروفایل

استادیار

• Rock Mechanics
• Fracture Mechanics
• Mining Engineering
• +۳ مورد دیگر

Georgios Xiroudakis serves as an Assistant Professor in the Mining Technology Department at the School of Mineral Resources Engineering, Technical University of Crete. Based in office M1.201, he is contactable via telephone (+30 28210 37690) and email (gxiroudakis@tuc.gr), with student reception hours held daily from 9:00 to 13:00 or by appointment. His research expertise spans Rock Mechanics and Fracture Mechanics, focusing on critical mining applications: Rock breaking mechanisms and cutter wear in drilling/blasting operations Experimental rock mechanics and mechanical rock cutting Underground stability analysis and safe design of open-pit mines Waste/tailings storage safety and renewable energy integration in mining Petroleum rock mechanics and hydraulic fracturing applications Publication analysis (2008-2023) reveals escalating sophistication in geomechanical modeling, evolving from fundamental fracture mechanics to UAV-enabled waste management solutions and hazardous wedge stability systems. Recent work demonstrates strong industry relevance through practical implementations in tunnel design and mine safety protocols. Professor Xiroudakis teaches core undergraduate courses including Rock Mechanics (MOP 402), Drilling and Blasting (MOP 403), and Underground Mining Methods (MOP 505), alongside postgraduate instruction in Mining Works Design (G&P 504) and Geoengineering (G&P 202). He maintains active research within the Mining Engineering and Design Laboratory, directing investigations into fracture propagation dynamics, tunnel stability optimization, and sustainable mining practices through advanced computational modeling.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۵ مورد دیگر

Prof. Ferrein is a Professor at the Institute for Mobile Autonomous Systems and Robotics (MASKOR) within the Faculty of Electrical Engineering and Information Technology at Aachen University of Applied Sciences. He has taught core courses including Fundamentals of Computer Science, Robotics, Artificial Intelligence, and Robot Programming with ROS for Electrical Engineering students from 2014 to 2016, establishing himself as a key educator in applied robotics. His research spans Robotics , Artificial Intelligence , and Industrial Automation , with concentrated expertise in logistics systems, mining automation, and smart manufacturing. As leader of the Carologistics RoboCup Logistics Team, he leverages competitive robotics to develop real-world factory automation solutions, focusing on multi-robot coordination, sensor fusion, and ROS-based implementations for industrial challenges. Analysis of his 2023-2025 publications reveals a decisive shift toward solving industry-specific problems: anomaly detection in metal-textile production, autonomous vehicle control in mining, and AI-supported work system design. His work consistently bridges academic research and industrial deployment through practical ROS integrations, emphasizing human-robot collaboration and cognitive load reduction in quality control workflows. MASKOR institute serves as the operational hub for Prof. Ferrein's activities, driving initiatives like the ROS Summer School and RoboCup Logistics League participation. This environment fosters industry-academia collaboration through educational programs and competitive benchmarks that validate cyber-physical systems for factory automation, with significant contributions to mining robotics and rescue operations.

Ludger Rattmannمشاهده پروفایل

استاد

• Mining Engineering
• Underground Mining
• Deep Sea Mining
• +۴ مورد دیگر

Ludger Rattmann serves as Professor of Mining Engineering and Vice President for University Development at Georg Agricola University of Applied Sciences (THGA) in Bochum, Germany, a position held since April 2016. Previously, he spent 25 years at RWTH Aachen University rising to Deputy Head of the Institute of Mineral Resources Engineering, while also teaching at TU Delft and coordinating the European Mining Course. Academic Background: 1985-1991: Dipl.-Ing. in Mining Engineering, RWTH Aachen University 1991-1997: Doctorate, RWTH Aachen University His research centers on underground mine design and sustainable development , with pioneering work in deep sea mining and near-to-face processing to enhance resource efficiency. He has significantly advanced mine safety through rescue chamber innovations and emergency response systems, addressing critical challenges in mineral extraction sustainability and operational safety across global mining contexts. Analysis of his 2009-2019 publications reveals three dominant themes: sustainable practices in Vietnamese coal mining (waste dump stabilization, dust mitigation), real-time process optimization (sensor-based monitoring, near-to-face processing), and engineering education innovation (international knowledge transfer models). These reflect his dual commitment to technical advancement and educational leadership in mining engineering. While specific grant details remain undisclosed, his research demonstrates consistent industry collaboration through projects like the I²Mine initiative. His leadership roles indicate active mentorship in academic development, though formal student advisement records aren't publicly documented. Current laboratory infrastructure at THGA's Department of Georesources and Process Engineering supports his ongoing work in mining process optimization and sustainability research.

Waqar Asadمشاهده پروفایل

دانشیار

• Stochastic Optimization
• Mine Planning
• Sustainable Mining Practices
• +۶ مورد دیگر

Associate Professor Waqar Asad holds a leadership role as Deputy Head of School (Mining Engineering) at Curtin University's WA School of Mines. He has over 26 years of experience in academia and industry, specializing in stochastic optimization of mineral supply chains and sustainable mining practices. He earned his PhD and MSc from the Colorado School of Mines and BSc from the University of Engineering and Technology, Peshawar. His research focuses on mathematical models for optimizing open-pit mine operations, including cut-off grade policies, production scheduling, and waste management. He has secured over $1M in research grants and published extensively in top-tier journals like European Journal of Operational Research and Resources Policy . Notable contributions include stochastic pit design models and waste encapsulation strategies. Teaching areas include mine planning, mining systems, and open-pit design. He has held leadership roles such as Head of Discipline (2014-2017) and Discipline Lead (2021-2023). His work is recognized internationally, including ranking in the top 2% of global mining scientists.

Muhammad Saad Memonمشاهده پروفایل

مدرس

• Supply Chain Resilience
• Operations Management
• Artificial Intelligence in Operations
• +۳ مورد دیگر

Dr. Muhammad Saad Memon serves as an Assistant Lecturer in Supply Chain Operations and Management within the Department of Computing at Atlantic Technological University, Ireland. Holding a PhD in Industrial Management Engineering from Hanyang University (2016), he brings over 15 years of academic expertise focused on supply chain resilience, logistics optimization, and AI-driven operational decision-making across industrial contexts. His academic foundation includes: PhD in Industrial Management Engineering, Hanyang University, South Korea (Awarded: August 19, 2016) Dr. Memon's research centers on data-intensive methodologies for complex supply chains, with core emphases on: Supply Chain Resilience and Risk Mitigation Operations Management and Process Optimization Multicriteria Decision Analysis Applications Artificial Intelligence in Logistics Analytics His recent publications (2023-2025) demonstrate concentrated efforts in sustainable industrial operations, particularly in mining and manufacturing sectors. Utilizing fuzzy logic, discrete event simulation, and systems dynamics, his work addresses critical challenges in resource extraction, quality management, and environmental sustainability through Pakistan-focused case studies including Thar coalfield operations and textile manufacturing. With an h-index of 9 and 656+ citations, Dr. Memon has supervised multiple postgraduate theses while contributing to curriculum development and academic quality assurance. His professional leadership includes serving as Chair of Pakistan Society of Industrial Engineers (2023-2025) and Founding President of IEOM Society of Pakistan.

Hamid Eskandariمشاهده پروفایل

مدرس

• Business Analytics
• Evolutionary Optimization
• Healthcare Operations
• +۲ مورد دیگر

Hamid Eskandari is Lecturer in Strategic Operations and Analytics at Swansea University's School of Management. He holds a PhD in Industrial Engineering from University of Central Florida and previously served as Associate Professor at Tarbiat Modares University. Research Focus: Applies computational intelligence techniques to business analytics challenges, including multi-objective optimization in supply chains, healthcare operations, and energy systems. Recent work emphasizes interpretable machine learning for energy forecasting and sustainability transitions. Publications demonstrate strong methodological focus on evolutionary algorithms, fuzzy decision-making, and simulation-based optimization applied to industrial and environmental problems.

• Computer Science
• Artificial Intelligence
• Virtual Reality
• +۷ مورد دیگر

Ingrid Scholl is a Professor at the University of Applied Sciences Aachen , specializing in computer science education. She teaches modules including Algorithms and Data Structures , Computer Graphics , Image Processing , and Virtual Reality/Augmented Reality . Her interdisciplinary project DataLake - Big Data Analysis and Visualizations focuses on extracting insights from large datasets using VR/AR technologies. Key Research Areas : Artificial Intelligence, Autonomous Systems, Virtual Reality, Medical Imaging, and Parallel Programming. Projects : Development of low-energy sensors for environmental monitoring, digital twin modeling of buildings for VR visualization, and collaborative VR experiences via HTC Vive. Publications highlight her work on autonomous mining vehicles, scene generation for AI training, and volume rendering in VR. Her recent contributions focus on operational design domains and mapping approaches in autonomous systems.

• Numerical Methods
• Rock Mechanics
• Geomechanics
• +۳ مورد دیگر

Klaus Thoeni is an Associate Professor in Civil Engineering and Associate Dean Research (Industry Engagement) at the University of Newcastle's School of Engineering. With over 15 years of expertise, he specializes in advanced numerical methods including Boundary/Discrete/Finite Element Methods applied to rock mechanics, geomechanics, mining engineering, and underground excavations. His research focuses on: Computational geomechanics and granular mechanics Rockfall protection systems and slope stability Photogrammetry and 3D monitoring Particle-based modeling of geomaterials He currently teaches courses such as ENGG1002 (Introduction to Engineering Computations) and CIVL2050 (Engineering Computations and Probability), and supervises final-year projects. Recent articles demonstrate strong focus on: Rock slope monitoring and hazard assessment DEM-BEM coupling techniques Industrial safety in mining operations Uncertainty quantification in granular systems Awards and honors include: Industry Engagement Excellence Award (2021) Excellence Award for Research Supervision (2020) Outstanding Research Award (2017) IACMAG Excellent Paper Award (2014) Amann Award (2003) He leads industry-funded projects and contributes to the open-source discrete element software YADE. His team develops photogrammetric monitoring systems for geotechnical applications, with focus on mining and infrastructure safety.

• Underground Mining
• Open Pit and Quarry Mining
• Mineral Economics and Mining Management
• +۳ مورد دیگر

Paula Falcao Neves is an Assistant Professor at the Instituto Superior Técnico (IST) of the University of Lisbon, affiliated with the CERENA research unit. Her work focuses on underground and open-pit mining techniques, rock mechanics, and mineral economics. She holds a 5-year Bachelor's Degree in Geological and Mining Engineering and teaches subjects like quarry exploration and mining management. Her research emphasizes practical applications such as vibration prediction in urban areas, blasting performance optimization, and thermal behavior of ornamental stones. Education: Bachelor's Degree in Geological and Mining Engineering Research Interests: Dr. Neves explores innovative methods to improve mining efficiency and safety, particularly in rock mechanics and environmental impact assessment. Her work bridges theoretical models (e.g., acoustic emission analysis, 3D ore body modeling) with real-world applications like railway vibration mitigation and sustainable quarry management. She collaborates extensively on projects involving tunnel convergence monitoring and pillar strength analysis under confinement. Publications: Her recent work includes advancing artificial neural networks for vibration prediction, optimizing blasting stemming systems, and evaluating thermal properties of finished stone surfaces. These studies reflect a focus on integrating geotechnical data with economic and environmental considerations in mining operations. Advising & Grants: No advisees are listed, but her teaching includes master’s-level courses on energy resources engineering and extracurricular mining activities. Her research is supported by IST’s infrastructure and collaborations with industry partners. Labs & Teams: She is part of CERENA’s multidisciplinary teams, contributing to projects like the Mina de Ciência science outreach initiative and geotechnical risk mapping for Portuguese railways.

Moraru Rolandمشاهده پروفایل

استاد

• Occupational Safety and Health
• Risk Management
• Mining Engineering
• +۴ مورد دیگر

Prof. Roland Moraru is a faculty member at the University of Petroșani's Faculty of Mining, holding a position in the Department of Management and Industrial Engineering. His research focuses on occupational safety and health, risk management, mining engineering, and environmental impact assessment. He has contributed extensively to academic literature, with notable work on ventilation systems in mining, sustainable development goals integration in workplaces, and emerging technologies in safety management. His academic career includes over two decades of contributions to the field, with emphasis on practical applications of safety protocols in industries such as mining, construction, and manufacturing. He has authored monographs on resource-saving technologies and systemic approaches to occupational health management. Notable publications include analyses of human error in industrial settings and case studies on chemical risk assessment in furniture and electrical equipment companies. Prof. Moraru’s work bridges theoretical frameworks with real-world implementation, addressing challenges in digitalization of safety systems, ergonomic improvements through AI, and explosion risk mitigation in explosive storage facilities. His research often involves partnerships with Romanian industries, reflecting a strong focus on local context and practical solutions. His academic output includes over 50 peer-reviewed articles and books, with a thematic trend toward interdisciplinary approaches to occupational safety (e.g., integrating SDGs, behavioral science, and engineering solutions). While no specific awards are listed, his prolific publication record highlights sustained scholarly contribution.

Goldan Tudorمشاهده پروفایل

استاد

• Mining Engineering
• Environmental Engineering
• Geomechanics
• +۳ مورد دیگر

Prof. Goldan Tudor is a faculty member at the University of Petroșani Dimitrie Leonida , holding the position of Professor in the Department of Mining Engineering, Surveying and Construction within the Faculty of Mining. His research focuses on mining engineering challenges, environmental impact mitigation in mining activities, and geomechanical analysis. He has contributed extensively to understanding subsidence caused by mining operations, coal stockpile management, and sustainable practices in open-pit coal mining. Key areas of expertise include: Environmental degradation caused by open-cast coal mining Geomechanical characterization of rock materials Optimization of mining technologies and methods Risk assessment in mono-industrial regions Land restoration and infrastructure protection His work also explores innovative approaches to mining safety, such as fire prevention in coal stockpiles and methane emission management. Recent studies emphasize climate change interactions with mining activities and socio-economic impacts of environmental policies.

Plyutov Yuri Alekseevichمشاهده پروفایل

دانشیار

• History of mining equipment
• Mining transport vehicles
• Rock Mechanics
• +۳ مورد دیگر

Plyutov Yuri Alekseevich serves as an Associate Professor at the Department of Mining Machines and Complexes within the Institute of Mining, Geology and Geotechnology at Siberian Federal University (SFU), where he has accumulated over 35 years of service since 1983. His distinguished career includes administrative leadership as Dean of the Mining and Geological Faculty (1993-1998) and Director of the Institute of Mining and Geology (1998-2005), alongside his specialization in mining transport vehicles and historical mining equipment development. His educational foundation comprises a degree in mining engineering-mechanics from the Krasnoyarsk Institute of Non-Ferrous Metals and postgraduate studies at the Leningrad Mining Institute, both focused on mining machinery. Professor Plyutov's research concentrates on the historical evolution of mining equipment and optimization of transport systems, bridging theoretical analysis with practical applications in modern quarry operations. Analysis of his recent publications—including a 2017 monograph and articles spanning tire efficiency in dump trucks (2014), coal mine transport complexes (2013), and mountain quarry logistics (2012)—reveals a consistent focus on operational efficiency and historical context within mining transport. His work demonstrates methodological rigor in evaluating machinery performance across diverse geological conditions. He holds the prestigious "Honorary Worker of Higher Professional Education of the Russian Federation" award and is recognized as a "Veteran of Labor of SFU" for his enduring contributions. Professor Plyutov actively shapes academic discourse as a member of the editorial board for "Mining Equipment and Electromechanics" while developing innovative educational resources. His pedagogical impact is evidenced through the creation of electronic courses like "Transport Machines and Complexes" and "History of Mining Mechanics," alongside continuous professional development in digital teaching methodologies. Though specific grant details are unmentioned, his software patents with E.S. Volkov indicate applied research translating into practical mining simulation tools. Collaborative work with E.S. Volkov on eight 2012 software patents for mining simulations—including conveyor design and excavator-truck optimization—highlights his leadership in computational approaches to mining transport challenges. His integration of historical analysis with contemporary engineering solutions defines a unique research trajectory within the department.