جست‌وجوی استاد و پژوهشگر

Richard Simonمشاهده پروفایل

دانشیار

• Rock Mechanics
• Mining Engineering
• Geotechnics
• +۴ مورد دیگر

Richard Simon is an Associate Professor in the Department of Civil, Geological and Mining Engineering at Polytechnique Montréal. He holds leadership roles as Publications Director of his department and Administrative Director of the Institute for Research in Mining and Environment (IRME) UQAT-Polytechnique. His educational background includes a B.Eng. and M.Sc.A. from Polytechnique Montréal and a Ph.D. from McGill University. Dr. Simon teaches courses including Introduction to Mine Operations, Underground Mining, and Rock Mechanics I. His research focuses on rock mechanics, numerical modeling, mining engineering, and geotechnical applications in mining environments. His extensive publication record demonstrates consistent focus on numerical modeling of rock behavior, mine stability analysis, and backfill mechanics. Recent work emphasizes computational geomechanics applications in mining operations, including stress analysis in backfilled stopes, slope stability in open pits, and optimization of mining layouts. Environmental aspects of mining, particularly contaminant transport in fractured rock, also feature prominently. Dr. Simon has supervised 6 doctoral and 8 master's students working on topics ranging from numerical seismic assessment in mines to rock fracture mechanics. He secured significant research funding including $900,000 (2017) for a metals circular economy project and led three new IRME research initiatives (2015). He directs research activities at IRME UQAT-Polytechnique and collaborates extensively within the mining geomechanics research community. His expertise is regularly featured in media outlets including La Presse+ and Les Affaires.

Jeff Linderothمشاهده پروفایل

استاد

• Large-Scale Numerical Optimization
• Mixed-Integer Nonlinear Programming
• Operations Research
• +۵ مورد دیگر

Jeff Linderoth is the Harvey D. Spangler Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. His research focuses on large-scale numerical optimization, mixed-integer nonlinear programming, and stochastic programming, with applications in energy systems, global routing, and industrial processes. Education: BS in General Engineering (highest honors) from University of Illinois at Urbana-Champaign, MS in Operations Research from Georgia Institute of Technology, PhD in Industrial Engineering from Georgia Institute of Technology. Linderoth's work addresses theoretical and applied challenges in optimization, including developing algorithms for mixed-integer programming, analyzing knapsack polytopes, and creating tools like the Minotaur optimization toolkit. His recent publications explore integer programming techniques for subspace clustering, complementarity constraints, and customized coverage instrumentation. Selected trends in his research include advancements in stochastic programming, orbital branching for symmetric integer programs, and congestion analysis in power systems. His group contributes to optimization software and data-driven libraries like MIPLIB. Scientific Award: Harvey D. Spangler Professor.

• Hydrogeology
• Groundwater flow and transport modelling
• Contaminant hydrogeology
• +۵ مورد دیگر

Thomas Rüde is Universitätsprofessor for Hydrogeology at RWTH Aachen University , Germany, where he leads the Hydrogeology group within the Faculty of Georesources and Materials Engineering. Holding the chair since 2005, he also serves as Managing Director of the Vereinigung Aachener Geowissenschaftler e.V. and has previously been Vice-President (2008-2014) and Executive Council member (2000-2008) of the International Mine Water Association (IMWA). Education 2004 – Privatdozent (Dr. rer. nat. habil.), University of Munich 1995 – Dr. rer. nat., University of Karlsruhe 1991 – Diplom-Geologe, University of Karlsruhe Research focus Professor Rüde’s work centres on understanding and modelling flow and reactive transport in complex aquifer systems . Key themes include: Contaminant hydrogeology – behaviour of geogenic arsenic and uranium in groundwater Groundwater protection and remediation – risk assessment and mitigation strategies Mine-water management – acid mine drainage, dewatering-well clogging, post-mining landscapes Tracer and hydraulic testing – field experiments to quantify subsurface heterogeneity Numerical modelling – high-performance simulation of multi-aquifer systems and karst His research spans Europe (Germany, Austria, Netherlands), Latin America (Mexico, Indonesia) and South-East Asia, frequently in close collaboration with local universities and industry partners. Publication trends Since 2010, Rüde has published extensively on geogenic contamination (As, U, F) in sedimentary and volcanic aquifers, mine-water impacts , and karst hydraulics . Recent work (2022-24) highlights advanced environmental tracers (gadolinium), transboundary groundwater issues, and the sustainable management of post-mining landscapes under climate change. Numerical models range from site-scale dewatering optimisation to catchment-scale coupled flow-transport simulations. Scientific awards & recognition Best Teaching Award 2010 – RWTH Aachen University Best Teaching Award 2012 – RWTH Aachen University Best Teaching Award 2014 – RWTH Aachen University Supervision & academic service Since 1998 he has taught hydrogeology through lectures, seminars, laboratory and field courses, and computer-based modelling labs. To date he has supervised: 13 PhD candidates 34 Diploma students 57 MSc students 63 BSc students He is Chairman of the Study Commission for the BSc programme in Georesources Management at RWTH Aachen, ensuring curriculum development and quality assurance. Laboratory & field infrastructure His group operates modern hydrochemical laboratories for trace-element analyses and maintains field stations for tracer experiments in Germany, Mexico and Indonesia. High-performance computing resources (in collaboration with the Jülich Supercomputing Centre) enable large-scale groundwater modelling and Monte-Carlo uncertainty assessments.

• Engineering Geology
• Rock Mechanics
• Slope Stability
• +۵ مورد دیگر

Tümay Kadakci Koca is an Associate Professor in the Department of Geological Engineering, Faculty of Engineering at Muğla Sıtkı Koçman University. She holds a Ph.D. in Applied Geology from Dokuz Eylül University (2021), an MSc in Applied Geology (2011), and a BSc in Geological Engineering from Hacettepe University (2009). Research Focus: Engineering geology, rock mechanics, slope stability analysis, geotechnical engineering, and soft computing applications in geological problems. Academic Contributions: Over 15 publications focusing on rock slope stability in mining operations, soil burn severity mapping post-wildfires, and geomechanical properties of sedimentary rocks. Scientific Recognition: Recipient of Kemal Erguvanlı Engineering Geology Award (2022) and Altın Çekiç Geology Research/Article Award (1900). Projects: Led TÜBİTAK-funded research on post-fire soil burn severity in Muğla, contributed to dam reservoir landslide analyses, and consulted for private mining projects in Turkey. Her work integrates numerical modeling with field studies, emphasizing Turkey-specific geological challenges and environmental impacts.

Mehmet Kizilمشاهده پروفایل

دانشیار

• Mine Planning and Design
• Mining Systems
• Production Analysis and Improvement
• +۷ مورد دیگر

Associate Professor Mehmet Kizil is the Mining Engineering Program Leader at the School of Mechanical and Mining Engineering, The University of Queensland. With a career spanning 25+ years, he holds a Bachelor of Mining Engineering (1986) from Dokuz Eylul University (Turkey) and PhD (1993) from the University of Nottingham (UK). His affiliations include being an affiliate of Future Autonomous Systems and Technologies and active participation in Mining Education Australia. School of Mechanical and Mining Engineering Australian Research Council (ACARP, CRCTiME, MRIWA, SIMTARS, industry partners) Research interests focus on mine planning/design, production optimization, computer/virtual reality applications, and mine ventilation systems. His 2025-2024 publications highlight innovations in FMIPCC systems, methane dispersion modeling, digital twins for mineral processing, and sustainable underground mining. Notable scientific achievements include being recognized as Higher Education Academy Senior Fellow (2018) and receiving national teaching awards. His work with industry partners (Newcrest, Rio Tinto, BHP, Xstrata, Anglo American, Origin Energy, Iluka Resources) has secured over $3M in research funding.

• Mining Automation
• Autonomous Systems
• Robotics
• +۵ مورد دیگر

Dr. Kevin Austin is a Research Fellow at the School of Mechanical and Mining Engineering, Faculty of Engineering, Architecture and Information Technology at the University of Queensland. His work is affiliated with the Future Autonomous Systems and Technologies research group, where he focuses on automation and robotics applications in mining engineering. Dr. Austin received his academic qualifications from the University of Queensland, including a Bachelor (Honours) of Engineering and a Doctor of Philosophy. Dr. Austin's research centers on mining automation and autonomous systems for heavy machinery operations. His work spans several key areas including dragline operation planning, excavation sequencing, terrain mapping for autonomous bulldozers, and hyperspectral imaging for ore grade discrimination. He has made significant contributions to the development of algorithms for mining equipment automation, particularly in the areas of Monte-Carlo Tree Search for dragline operation planning and Iterative Closest Point variants for terrain scan matching. His research bridges theoretical advances in robotics and artificial intelligence with practical applications in the mining industry, focusing on improving efficiency, safety, and productivity. Dr. Austin has been involved in numerous research projects funded by industry partners including Caterpillar Inc and the Australian Coal Association Research Program (ACARP). His current research focuses on coal stockpile management for remote bulldozers, semi-autonomous bulldozers for mine site rehabilitation, and articulated truck automated systems. His work demonstrates a strong industry connection with practical applications in mining operations. As an academic supervisor, Dr. Austin has served as an Associate Advisor for multiple PhD and Master's students at the University of Queensland. His supervision portfolio includes research on real-time terrain mapping for autonomous bulldozers, mission planning for autonomous excavation, dragline excavation sequencing, and scan matching for terrain mapping in open-pit mining. His collaborative approach is evident in his work with other faculty members, particularly Professor Ross McAree. Dr. Austin's laboratory and research team work closely with industry partners through the Future Autonomous Systems and Technologies group. They maintain strong connections with mining equipment manufacturers and coal mining operations, ensuring their research addresses real-world challenges in the mining sector. Their facilities likely include simulation environments for mining equipment operation, testbeds for autonomous systems, and data analysis platforms for mining process optimization.

Peter Knightsمشاهده پروفایل

استاد

• Engineering Asset Management
• Mine Maintenance
• Systems Engineering
• +۵ مورد دیگر

Professor Peter Knights is a faculty member at the School of Mechanical and Mining Engineering , University of Queensland, where he serves as Discipline Lead for Mining. He previously held the BMA Chair in Mining Engineering (2006–2015) and worked as Assistant Professor and later Associate Professor at the Catholic University of Chile (1996–2004), where he also held the Canadian Chair in Mining. Education: BEng (Mechanical) from University of Melbourne, MEng (Systems Engineering) from RMIT, PhD in Mining Engineering from McGill University. Research Focus: Engineering asset management, mine maintenance, systems engineering for mine safety, ESG integration in mine planning, and electrification of mining haulage. He pioneered ESG frameworks and developed the ValueTree software adopted by Rio Tinto. Recent Publications: His 15 most recent articles (2023–2025) emphasize digital twins , low-emission mining systems , ESG optimization , and battery trolley electrification in journals like Mining , Energies , and Mining Technology . Industry Impact: Developed the Jack-knife methodology for downtime analysis, now used in GE Wabtec's APS software, and innovative models for ultimate pit limits in FMIPCC systems. Supervision: Currently supervises PhD students on topics like AI-driven asset management, battery trolley systems, and rock mass preconditioning. Past supervision includes work on shovel sequence optimization and critical spare parts management.

Izhar Mithal Jiskaniمشاهده پروفایل

پژوهشگر ارشد

• Sustainability
• Environmental Science
• Mining Engineering
• +۴ مورد دیگر

Izhar Mithal Jiskani is a Research Fellow at Aalborg University's Department of Sustainability and Planning, within the Technical Faculty of IT and Design. His research focuses on sustainability and green mining practices, particularly within the context of climate change mitigation and energy transition. Previously, he served as Head of the Department of Mining and Mineral Resources at Pakistan's National University of Sciences and Technology (NUST) and held an Assistant Professor role there from 2021 to 2023. Education: PhD in Green & Climate-Smart Mining (2018–2021), National University of Sciences and Technology (NUST), Pakistan Research Interests: Izhar's work emphasizes environmental impact assessment in mining, with a focus on sustainable practices, energy transition minerals, and climate neutrality. He actively promotes interdisciplinary approaches to balance economic, social, and environmental aspects of mining through frameworks like Mining 4.0 and green decision support systems. His recent projects include analyzing dust pollution control in open-pit mines and developing intelligent systems for slope stability. Publications Trends: Over 50 articles since 2018 highlight his focus on sustainable mining, environmental management, and technological innovation in mining operations. Themes include dust reduction technologies, geopolymer applications for mine infrastructure, and AI-driven environmental monitoring. Grants & Projects: As Principal Investigator of the 2022–2023 project 'Mining 4.0 and climate neutrality,' he explores safe, intelligent, and climate-smart mining systems. He also contributes to international collaborations, including the Danish Centre for Environmental Assessment. Professional Activities: Izhar serves as an external examiner for PhD and master's theses, presents at global conferences (e.g., the 44th Annual Conference of the International Association for Impact Assessment), and delivers guest lectures on topics like sustainable mining and natural resource governance. Labs/Teams: Affiliated with the Danish Centre for Environmental Assessment, focusing on interdisciplinary environmental research and policy.

• Mining Methods
• Mine System Analysis
• Rock Mechanics
• +۴ مورد دیگر

Cüneyt Atilla Öztürk is an Associate Professor at the Department of Mining Engineering, Faculty of Mines, Istanbul Technical University. He holds a PhD in Mining Operations from the same institution (2006) and has been a faculty member since 2010. His research focuses on mining methods, rock mechanics, mine economics, and mine system analysis with a particular emphasis on underground and open-pit mining challenges. Education: PhD in Mining Operations, Istanbul Technical University (2002–2006) MSc in Mine Excavation and Mechanization, Istanbul Technical University (1999–2001) BSc in Mining Engineering, Istanbul Technical University (1993–1998) Research Interests: Dr. Öztürk’s work addresses critical aspects of mining engineering including support system design for underground mines, slope stability analysis in open-pit operations, and geotechnical modeling of mine sites. His recent studies focus on optimizing mine planning through digital data systems and enhancing safety in seismically active underground environments. Awards: Department First Rank Graduation Award (1998) Cemal Birön Success Award (1997) Grants & Projects: He has led over 13 projects including geotechnical modeling for TVF Mining’s gold mine site (2023), slope stability analysis for Avnik Iron Works (2023), and production optimization in coal mining operations (2020–2022). His consultancy work includes advising on rock mechanics for Balikesir Balya underground mines and Nigde Bolkar polymetallic operations. Professional Memberships: ITU Alumni Association (2018–present) TMMOB Chamber of Mining Engineers (1998–present)

Zach Agioutantisمشاهده پروفایل

استاد

• Rock Mechanics
• Geomechanics
• Subsidence Engineering
• +۳ مورد دیگر

Zach Agioutantis is the Foundation Professor and Department Chair of Mining Engineering at the University of Kentucky's Stanley and Karen Pigman College of Engineering. He has held academic positions at the Technical University of Crete, Greece, from 1989 to 2014, including roles as Professor, Director of the Rock Mechanics Lab, and various faculty ranks. PhD, Mining and Minerals Engineering, Virginia Tech (1987) MSc, Mining and Minerals Engineering, Virginia Tech (1984) Diploma, Mining and Metallurgical Engineering, National Technical University of Athens (1982) His research spans Rock Mechanics, Geomechanics, Subsidence Engineering, Data Management, and Sustainable Mining . Recent work focuses on blast vibration modeling, groundwater flow simulation, and transitioning from open-pit to underground mining. He has pioneered LiDAR navigation in underground openings and developed software tools for mine design. Zach's 15 most recent publications (2025–2024) address dynamic subsidence prediction, coal pillar stability, autonomous mining systems, and environmental impacts of longwall mining. Key subfields include Blast Fragmentation , Geohazard Assessment , and Mine Automation . He has directed the Rock Mechanics Lab at Technical University of Crete and contributed to software development projects like Analysis of Coal Pillar Stability (ACPS). His work integrates machine learning and numerical modeling for methane gas forecasting and structural safety in mines.

• Integer Programming
• Stochastic Programming
• High-Performance Computing
• +۳ مورد دیگر

Jeffrey Linderoth is a Professor in the Department of Industrial & Systems Engineering at the University of Wisconsin-Madison, within the College of Engineering. His research focuses on large-scale optimization problems, including integer programming and stochastic programming, with an emphasis on high-performance algorithms and software development. He holds a PhD from Georgia Institute of Technology (1998) and has been recognized with numerous awards, including INFORMS Fellow (2016) and multiple best paper awards in optimization journals. Linderoth is actively involved in teaching optimization courses such as COMP SCI 524 and I SY E 524, and mentors pre-dissertation and thesis research. Education: PhD (1998), MS (1994) – Georgia Tech; BS (1992) – University of Illinois Research Interests: Linderoth specializes in high-performance computing for optimization, numerical methods, and distributed algorithms. His work addresses challenges in computational grids, combinatorial optimization, and applications in fields like energy systems and computational biology. He has developed influential software tools like Minotaur for mixed-integer nonlinear programming. Recent Achievements: His 2024 work on stochastic integer programming and dual decomposition methods, as well as contributions to autocatalytic networks in origin-of-life studies, highlight his interdisciplinary impact. Linderoth has also been honored multiple times for teaching excellence, including the University Housing Honored Instructor Award (2019, 2016, 2008). Awards: Over 20 awards spanning best papers, teaching excellence, and early career recognition Grants/Projects: Includes Department of Energy funding and collaborations on optimizing power systems and minimizing cascading failures Linderoth leads research teams and contributes to academic organizations, advancing both theoretical and applied aspects of optimization science.

Lazar Mariaمشاهده پروفایل

استاد

• Environmental Engineering
• Geology
• Sustainable Mining Practices
• +۵ مورد دیگر

Prof. Lazar Maria serves as a Professor in the Department of Environmental Engineering and Geology at the Faculty of Mining, University of Petroșani Technical. She also holds the administrative role of Vice-Rector for Scientific Research, overseeing research initiatives at the institution. Her work focuses on sustainable mining practices, environmental rehabilitation of degraded lands, and the integration of AI in ecological planning. Key research areas include soil restoration, water quality management, and the valorization of industrial byproducts. Research emphasizes case studies in regions like the Jiu Valley and Rovinari mining basins, addressing challenges such as mine closure risks, waste management, and the ecological reclamation of abandoned sites. Recent studies explore AI-driven solutions for mine site design, sustainable copper extraction techniques, and methods to accelerate pedogenesis on waste dumps. Publications highlight innovative approaches to land rehabilitation, seismic stability assessments, and the environmental implications of mining projects like Certej. Despite no listed scientific awards or advisees, her contributions to sustainable resource recovery and policy-relevant research are significant.

Vokhmin Sergey Antonovichمشاهده پروفایل

استاد

• Underground Mining
• Mineral Resource Management
• Drilling and Blasting Optimization
• +۳ مورد دیگر

Vokhmin Sergey Antonovich is Professor and Head of the Department of Mine and Underground Construction at the Institute of Mining, Geology and Geotechnology, Siberian Federal University (SFU). With over 40 years of scientific and pedagogical experience since 1974, he is one of Russia's leading experts in underground mineral deposit mining. He earned his Candidate of Technical Sciences degree in 1982 and has headed his current department since 2001, having previously led the Department of Underground Development of Ore Deposits from 1992-2001. Professor Vokhmin's primary research domains include: Rational utilization of mineral resources during solid mineral deposit development Optimization of drilling and blasting operations for underground mine construction Resource conservation and protection methodologies Physics of rock destruction through blasting techniques His scholarly contributions demonstrate remarkable productivity, with 279 scientific and methodological publications including 59 in central journals. He has authored 5 monographs and 9 textbooks, 6 bearing endorsements from the Ministry of Education's Educational and Methodological Association. His research directly supports mining enterprises in Krasnoyarsk Krai and Sakha (Yakutia) Republic, including Norilsk Nickel operations and Krasnoyarsk Metro construction. Professor Vokhmin's distinguished career has been recognized with numerous prestigious awards: Honored Worker of Higher Professional Education of Russia (2000) Teacher of the Year of Higher Education in Krasnoyarsk Krai (2002) Laureate of the All-Russian Competition 'Engineer of the Year' (2004) Honorary Sign 'Miner's Glory' III Degree (2005) Full Member of the European Academy of Natural Sciences (2006) Professor Prize of Krasnoyarsk City Head (2007) Second Place in 'Best Professor of SFU' Competition (2008) Gold Medal at International Exhibition in Moscow (2014) Gold Medal at International Exhibition in Paris (2015) As an educator, he maintains an annual teaching load of 600-700 hours, including over 200 lecture hours. He has mentored dozens of graduates now working at mining enterprises across Russia and internationally, including in executive positions. Seven candidates have successfully defended dissertations under his supervision, with four currently studying under his guidance. His department received the 'Golden Department of Russia' diploma in 2009 for excellence in education and research.

Micah Nehringمشاهده پروفایل

مدرس ارشد

• Mine Planning
• Production Scheduling Optimisation
• Optimal Ultimate Pit Limit (UPL) determination
• +۴ مورد دیگر

Micah Nehring is a Senior Lecturer at the School of Mechanical and Mining Engineering , The University of Queensland . He leads the High Performance Surface Mining Research Group , focusing on optimizing In-Pit-Crusher-Conveyor (IPCC) systems and advancing mine planning methodologies. His work bridges mathematical programming with practical mining challenges, particularly in ultimate pit limit determination and production scheduling . Research interests include: Mine Planning Production Scheduling Optimization IPCC Systems Integration Cut-off Grade Methodologies ESG Risk Incorporation Recent publications highlight trends in machine learning applications for coal mine roof characterization, electrification of surface mining fleets, and multi-objective optimization for sustainable underground operations. His work often combines mixed integer programming with discrete event simulation to address complex mining scenarios. Advising spans projects like: Forecasting Market Capitalisation via Neural Networks Battery Trolley Haulage Systems Hydro-Economic Modeling for Water Management Funding collaborations include Anglo American , NewCrest Mining , and Caterpillar Global Mining , with grants focused on carbon tax impacts , roof displacement prediction , and rock characteristics research.

• Electric Vehicles
• Electromobility
• Charging Infrastructure
• +۳ مورد دیگر

Anders Grauers is an Associate Professor at Chalmers University of Technology specializing in Control Engineering and Electric Vehicle Systems within the Swedish Electromobility Centre. He has held prior roles at Volvo Cars as a technical specialist in Autonomous Driving Support Systems and as a Researcher in Electric Power Engineering . Research Focus: System-oriented analysis of electric vehicles and charging infrastructure, integrating technical, economic, and user-centric perspectives. Key Projects: Public fast charging for heavy trucks, electrification of long-distance freight, optimal battery sizing, and control systems for hybrid powertrains. Publications: 49+ works spanning from 2025 to 1991, with recent emphasis on agent-based modeling , cost-effectiveness , and noise reduction in gearboxes . Funding: Recipient of grants from VINNOVA , Trafikverket , and the Swedish Energy Agency for projects like E-Charge and Ellog .