جست‌وجوی استاد و پژوهشگر

Federica Sandroneمشاهده پروفایل

مدرس

• Rock Mechanics
• Tunnel Engineering
• Underground Construction
• +۴ مورد دیگر

Federica Sandrone is a Lecturer at the School of Architecture, Civil and Environmental Engineering (ENAC) at École Polytechnique Fédérale de Lausanne (EPFL), where she also serves as a Scientist at the Laboratory of Experimental Rock Mechanics (LEMR) within the Institute of Civil Engineering. Her academic career spans over 15 years with continuous contributions to tunnel engineering and rock mechanics research. Her research focuses on the intersection of rock mechanics and tunnel engineering, with particular expertise in tunnel pathology analysis, TBM performance in challenging geological conditions, and long-term tunnel behavior. Sandrone's work bridges theoretical analysis with practical engineering applications, addressing real-world problems in tunnel infrastructure management and maintenance. Her research methodology combines field investigations, laboratory testing, and numerical modeling to understand complex geomechanical behaviors. Analysis of her recent publications reveals a consistent focus on tunnel inspection methodologies, TBM performance prediction in difficult ground conditions, and the long-term behavior of tunnel structures. Her work has evolved from fundamental tunnel pathology studies to more advanced applications involving GIS integration, probabilistic modeling, and modern inspection techniques including laser scanning and image analysis. Engineer at SBB-Infrastructure (2008-present) responsible for Tunnels Management and Maintenance Assistant for Tunnel Engineering courses (2007-present) PhD supervision including Erika Paltrinieri's 2015 thesis on TBM performance Development of tunnel inspection methodologies and condition assessment procedures Her teaching activities include courses in Rock Mechanics and Underground Construction, where students learn about the mechanical behavior of rock materials, tunnel excavation and support design, planning and management of underground works, and risk assessment in tunnel construction.

Markus Haltmeierمشاهده پروفایل

استاد

• Image Reconstruction
• Inverse Problems
• Deep Learning
• +۴ مورد دیگر

Markus Haltmeier is a Professor in the Department of Mathematics at the University of Innsbruck. His research focuses on inverse problems, image reconstruction, and deep learning with applications in medical imaging, photoacoustics, and computational mathematics. He leads a group dedicated to advancing theoretical and practical solutions for challenges in non-destructive testing and medical diagnostics. His work integrates mathematical analysis with machine learning, addressing issues such as high-resolution imaging in scattering media and automated segmentation of cardiac structures. Key research areas include regularization techniques for inverse problems, self-supervised learning approaches for limited data scenarios, and computational methods for photoacoustic tomography. His contributions span both theoretical developments (e.g., inversion formulas for Radon transforms) and applied solutions (e.g., algorithms for cylinder liner wear assessment and myocardial infarct segmentation). Publications highlight advancements in neural network-based regularization, 3D medical image synthesis, and unsupervised learning frameworks for segmentation and registration. His research emphasizes bridging the gap between mathematical theory and real-world applications in healthcare and engineering.

Gokhan Pekcanمشاهده پروفایل

استاد

• Earthquake Engineering
• Structural Dynamics
• Seismic Hazard Mitigation
• +۳ مورد دیگر

Gokhan Pekcan is a Professor at the University of Nevada, Reno, serving as Graduate Program Director and Associate Chair for Graduate Affairs. His research focuses on earthquake engineering, structural dynamics, seismic hazard mitigation, and structural health monitoring. Key research areas include: Seismic response of bridges and buildings under torsional ground motions Development of active and adaptive control systems for seismic resilience Integration of machine learning and compressive sensing for structural health monitoring Experimental validation of seismic retrofit techniques Analysis of structural and nonstructural systems' vulnerability Design of energy dissipation systems for civil infrastructure Recent publications highlight his work on torsional ground motion effects, hybrid simulation methodologies, and smart material applications in bridge systems. He employs deep learning for damage detection and data compression in monitoring frameworks.

Geraint Jewellمشاهده پروفایل

استاد

• Electrical Machines
• Electromagnetic Modeling
• Aerospace Applications
• +۱۰ مورد دیگر

Professor Geraint Jewell is affiliated with the University of Sheffield , serving as Director of the Rolls-Royce University Technology Centre in Advanced Electrical Machines (since 2006) and Director of the EPSRC Future Electrical Machines Manufacturing Hub (since 2019). He is a graduate of the university (BEng 1988, PhD 1992) and has held academic roles since 1994. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship at Rolls-Royce (2006-2008) Former Faculty Director of Research and Innovation (2008-2011) Former Head of Department (2013-2019) His research focuses on power-dense electrical machines for aerospace applications , including permanent magnet machines , switched reluctance machines , and linear actuators . He has supervised ~20 PhD students and led collaborations with Rolls-Royce on high-temperature devices (up to 800°C) and aero-engine starter-generators. Recent publications analyze stator insulation thermal degradation , eddy current control in additively manufactured materials , and magnetic loss prediction in silicon steel. His work spans electromagnetic modeling , core loss calculation , and advanced manufacturing techniques for electrical machines. EPSRC Advanced Research Fellowship (2000-2005) Royal Society Industry Fellowship (2006-2008) He has advised PhD students across topics like consequent-pole PM machines , doubly salient SynRMs , and core loss characterization . His Electrical Machines and Drives Research Group explores modular motor design and magnetic material optimization for aerospace and electric vehicles.

• Digital Holography
• Laser Engineering
• Marine Technology
• +۶ مورد دیگر

Dr. Thangavel Thevar is a Senior Lecturer in the School of Engineering at the University of Aberdeen, where he has been teaching since 2005. He completed both his undergraduate degree (First Class Honours in Electrical Engineering) and PhD (in Laser Engineering) at the University of Aberdeen in 1989 and 1993 respectively. Prior to his academic career, he accumulated approximately 10 years of industrial R&D experience in the USA, working on solid-state laser development and holographic applications. Dr. Thevar's research focuses on several key areas: Digital holography for imaging of marine plankton and micro-particles Laser Induced Breakdown Spectroscopy (LIBS) for subsea applications Laser-based instrumentation development Development of solid-state lasers for scientific, industrial, and medical applications Engineering applications of holography His most notable recent achievement is leading a team that developed the weeHoloCam, a state-of-the-art ultracompact underwater holographic camera for imaging microorganisms. Weighing just 3.5 kg, this system is the lightest and most compact of its kind, capable of imaging 240 ml/s and continuously recording up to 200,000 holograms. The system incorporates a rapid hologram processor and an AI-based image classifier. This technology has significant applications in marine studies including spatial and temporal monitoring of plankton species, monitoring harmful plankton & micro-jellyfish, study of vertical transport of floc, and monitoring microplastic pollution in the ocean. Dr. Thevar has secured numerous research grants as Principal Investigator, including projects funded by Sustainable Aquaculture Innovation Centre (SAIC), BBSRC, DEFRA, and Defence & Security Accelerator (DSTL). His current research portfolio demonstrates strong interdisciplinary connections between optical engineering, marine science, and environmental monitoring. His scientific contributions include: Royal Academy of Engineering Visiting Teaching Fellow Award (2010-2013) US patent 8,494,012 B2 for Raman converters Development of alexandrite lasers and ruby holographic lasers during his industrial R&D period Work on US government contracts for non-destructive inspection methods for military aircraft and the space shuttle Sabbatical work at NASA Langley Research Centre developing diode pumped Thulium YALO lasers As an educator, Dr. Thevar has served as Coordinator of MSc Oil & Gas Engineering (2007-2020), Undergraduate Level 1 Coordinator, and has contributed to various committees including Quality Assurance and Students' Progression. He currently teaches courses including Principles of Electronics, Electrical & Mechanical Systems, Control Systems, and supervises individual projects at both undergraduate and postgraduate levels. He is accepting PhD students interested in Engineering research. Dr. Thevar is actively involved in professional organizations, serving as Technical Programme Chair for IEEE/OES Oceans Conference 2007, on organizing committees for various conferences, as a committee member of the Instrument Science and Technology Group (Institute of Physics), and as a member of both IET and IEEE. He also serves as a reviewer for optics-based journals.

• Microfluidics
• BioMEMS
• Lab-on-a-Chip
• +۷ مورد دیگر

Prof. Kwang W. Oh is a Professor and Director of Graduate Studies in the Department of Electrical Engineering at the University at Buffalo (SUNY), with an adjunct appointment in the Department of Biomedical Engineering. He directs the Sensors and MicroActuators Learning Lab (SMALL), focusing on biomedical microfluidic devices, sensors, and actuators for applications in medical diagnostics and biological research. His educational background includes: PhD in Electrical and Computer Engineering from the University of Cincinnati (2001) MS in Electrical and Computer Engineering from the University of Cincinnati (1997) BS in Physics with summa cum laude from Chonbuk National University, Korea (1994) Prof. Oh's research centers on microfluidics and BioMEMS (Bio Micro Electro Mechanical Systems), with specializations in LOC (lab-on-a-chip), MicroTAS (Micro Total Analysis Systems), and SANS (Sample-to-Answer Nano/microfluidic Systems). His work develops practical microfluidic devices for medical diagnostics, including point-of-care blood testing, single cell manipulation, and nanobiosensors. His lab has pioneered innovative approaches like the "pysanky" wax-based technique for rapid prototyping of microfluidic devices and vacuum-driven micropumps for plasma separation from finger-prick blood samples. His recent publications reveal a strong trend toward practical medical applications of microfluidics, particularly in photoacoustic imaging test phantoms, point-of-care diagnostics, and nanoparticle synthesis for viral treatment. His research bridges engineering with clinical needs, focusing on making laboratory functions portable and accessible through microfluidic integration. Among his notable awards: The SUNY Chancellor's Award for Excellence in Teaching (2020) President Emeritus and Mrs. Meyerson Award for Distinguished Undergraduate Teaching and Mentoring (2019) Qualcomm Faculty Award (2019) Senior Teacher of the Year Award, SEAS, UB (2017) Emerging Investigators 2012, Lab Chip, Royal Society of Chemistry (2013) Honor of CEO, Samsung Electronics for development of a micro PCR system (2003) Prof. Oh has advised numerous graduate students including Dr. Anyang Wang, Dr. Nikhila Nyayapathi, and Dr. Domin Koh, who have gone on to successful careers in academia and industry. His research has been supported by significant grants, including a Qualcomm Faculty Award in 2019, which recognizes research that "inspires students and sparks new approaches in key technology areas." He actively participates in professional service as an editorial board member for several journals including Sensors and Micromachines. He directs the Sensors and MicroActuators Learning Lab (SMALL), which houses state-of-the-art facilities for microfluidic device fabrication and testing. The lab focuses on developing practical microfluidic solutions for medical diagnostics, with recent projects including test phantoms for photoacoustic imaging, vacuum-driven micropumps for point-of-care blood separation, and microfluidic devices for nanoparticle synthesis targeting viral treatments. The lab fosters interdisciplinary collaboration between engineering, medicine, and life sciences to translate microfluidic innovations into real-world medical applications.

Andrea Argüellesمشاهده پروفایل

دانشیار

• Ultrasonics
• Additive Manufacturing
• Materials Characterization
• +۵ مورد دیگر

Andrea Argüelles is an Associate Professor in the Department of Engineering Science and Mechanics at Pennsylvania State University (Penn State), part of the College of Engineering. She holds affiliate researcher roles in the IEE Research Themes focusing on Health and the Environment, and Integrated Energy Systems. Her work bridges materials science and mechanical engineering, emphasizing non-destructive evaluation (NDE) techniques like ultrasonics for characterizing additive-manufactured materials and polycrystalline structures. In 2024, she received the NSF CAREER Award for her research contributions. Her research interests include ultrasonic testing of composites and metals, additive manufacturing process-structure-property relationships, and computational modeling of wave propagation in complex materials. Notable projects involve improving inspectability of 3D-printed parts, cryogenic ultrasonic testing of ice matrix composites, and analyzing defects in silicon wafers. She collaborates widely, with recent work published in journals like Communications Materials , Journal of Applied Physics , and Finite Elements in Analysis and Design . Key Themes: Polycrystalline materials, binder jetting, acoustic holography, defect detection. Awards: NSF CAREER Award (2024). Dr. Argüelles is actively involved in engineering education, contributing to initiatives like the ASEM seminar series for doctoral career development. Her research group addresses challenges in materials characterization, with applications in aerospace, energy systems, and semiconductor manufacturing.

Javier Irizarryمشاهده پروفایل

استاد

• Unmanned Aerial Systems (Drones) in Construction
• Construction 4.0
• Reality Capture Technology
• +۳ مورد دیگر

Javier Irizarry is a Professor and Interim Chair in the School of Building Construction at Georgia Tech's College of Design. He also serves as Associate Dean for Academic Affairs and Outreach , overseeing academic programs, diversity initiatives, and recruitment efforts. As Director of the CONECTech Lab, he pioneers research in Construction 4.0 and UAV applications for infrastructure challenges. Education : Ph.D. (Civil Engineering), Purdue University Masters in Engineering Management, Polytechnic University of Puerto Rico B.S. (Civil Engineering), University of Puerto Rico, Mayagüez Research Focus : Irizarry’s work integrates cutting-edge technologies into construction, including Unmanned Aerial Systems (UAS), Reality Capture, Virtual/Augmented Reality, and Human Factors in Robotics. His lab develops frameworks for Construction 4.0 , emphasizing technology-driven solutions for safety and efficiency. Lab & Impact : The CONECTech Lab focuses on Construction 4.0 , advancing drone-based inspection systems, digital twins, and safety analytics. His research has led to over 100 publications, with applications in infrastructure monitoring, safety management, and educational tools. Leadership : As Associate Dean, Irizarry drives academic innovation and outreach, including pre-college programs and diversity strategies. He is a licensed Professional Engineer (PE) and FAA-licensed drone pilot, bridging academia and industry.

Anthony Gachaganمشاهده پروفایل

استاد

• Ultrasonics
• Non-Destructive Evaluation (NDE)
• Ultrasonic Transducer Design
• +۱۳ مورد دیگر

Professor Anthony Gachagan is a leading academic at the University of Strathclyde, serving as Head of Department and Research Director in the Department of Electronic and Electrical Engineering (EEE) within the Faculty of Engineering. He has been Director of the Centre for Ultrasonic Engineering (CUE) since 2010, leading a multidisciplinary team of around 55 researchers with over £5M in active funding. He also holds leadership roles in RCNDE as Academic Chair and Management Board member, and participates in BINDT committees. His research spans ultrasonic transducer design, non-destructive evaluation (NDE), robotics, high-power ultrasound, and industrial process control. His work is highly collaborative, involving national and international partnerships with industry and academia, and contributes to sectors such as energy, aerospace, nuclear, and healthcare. He is actively involved in major research initiatives aimed at net zero, structural integrity, and advanced manufacturing. Recent publications highlight his focus on robotic ultrasonic inspection, adaptive signal processing, phased array techniques, and in-process monitoring of additive manufacturing. These works demonstrate a strong trend toward automation, real-time defect detection, and integration of ultrasonic systems in industrial and safety-critical applications. Scientific Awards: The BINDT Annual Conference Award (2019) Prof Gachagan has secured significant grants from EPSRC, Innovate UK, and industry partners, including projects on future ultrasonic engineering, lightning impulse testing, and robotic inspection for offshore wind. He supervises numerous research students and leads large collaborative teams. He also contributes to research commercialization through IAA projects. He leads the Centre for Ultrasonic Engineering (CUE), a vibrant research unit integrating electronic, mechanical, and biomedical engineers, physicists, and material scientists. The centre focuses on next-generation ultrasonic technologies, robotics integration, and industrial deployment.

• Non-Destructive Evaluation
• Ultrasonic Testing and Imaging
• Eddy Current Testing
• +۹ مورد دیگر

Dr. Ehsan Mohseni is a Senior Lecturer in the Department of Electronics and Electrical Engineering at the University of Strathclyde, Faculty of Engineering. He is a key member of the Centre of Ultrasound Engineering (CUE) research group and supports the Royal Academy of Engineering and Spirit AeroSystems research chair led by Professor Gareth Pierce. His work focuses on advancing robotic and intelligent Non-Destructive Evaluation (NDE) systems for industrial applications. B.Sc. in Materials Science and Metallurgical Engineering, University of Tehran, 2006 M.Sc. in Metal Forming Processes, University of Tehran Ph.D. in Automated Defect Detection using Electromagnetic NDE, École de Technologie Supérieure (ETS), Montreal, Canada Dr. Mohseni’s research is centered on NDE 4.0, integrating advanced sensing, multi-physics modeling, and machine learning. His expertise spans ultrasonic and eddy current testing, multi-sensor data fusion, and probability of detection studies. He focuses on applications in additive manufacturing, welding, composites, and metal processing, aiming to overcome current technological barriers in industrial inspection. The recent publications highlight a strong trend toward intelligent, automated, and robotic NDE systems. Key themes include self-supervised learning for ultrasonic segmentation, human-machine collaboration in data analysis, and advanced signal processing for weld and composite inspection. The integration of AI, flexible sensor arrays, and embedded navigation systems reflects a shift toward smart, adaptive inspection platforms aligned with Industry 4.0. Scientific Awards: The BINDT Annual Conference Award (2019) Dr. Mohseni is actively involved in research funding and knowledge transfer. He serves as Principal Investigator on KTP projects with ETHER NDE LIMITED and NATIONAL OILWELL VARCO UK LIMITED, focusing on in-process inspection for additive manufacturing and field calibration for ultrasonic testing. He contributes to large-scale collaborative projects funded by Innovate UK and industry partners, emphasizing practical deployment of NDE solutions. He also supervises research staff and collaborates with global aerospace firms including Pratt & Whitney Canada, Safran, and Bell Helicopter. He is a core member of the Centre of Ultrasound Engineering (CUE), a dynamic research group developing next-generation ultrasound technologies. The team works on advanced robotic sensing hubs, flexible transducer arrays, and AI-driven data interpretation tools, often in collaboration with the Royal Academy of Engineering research chair and industrial partners.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +۷ مورد دیگر

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

Bryan Hubbardمشاهده پروفایل

استاد

• workforce development
• construction supply chain management
• modularization
• +۶ مورد دیگر

Bryan Hubbard is a Professor at Purdue University's School of Construction Management Technology, where he has taught for over 20 years. He has taught nineteen unique courses in construction addressing a wide range of the construction curriculum, with a focus on estimating, design construction integration, and industrial construction. His educational background includes a Ph.D. in Civil Engineering from Texas A&M University and both Master's and Bachelor's degrees from Purdue University (MSE and BSME respectively). He is also licensed as a professional engineer in the State of Indiana. Professor Hubbard's research interests span multiple critical areas in modern construction: workforce development, construction supply chain management, modularization, construction safety, sustainability and energy efficiency, industrial construction, and UAS/Drone applications. His work demonstrates a strong focus on practical applications of technology to solve real-world construction challenges, particularly in sustainability and safety domains. His publications reveal consistent research activity with a recent emphasis on drone technology applications in construction and transportation, sustainability metrics for infrastructure, and knowledge management in construction companies. His work bridges the gap between academic research and industry practice, often collaborating with industry partners to address current challenges. Charles B. Murphy Outstanding Undergraduate Teaching Award (2023) Magoon Award for Excellence in Teaching Professor Hubbard has held leadership roles including Head of the School of Construction Management Technology from 2013 to 2016, during which he led curriculum transformation initiatives and oversaw the creation of the Design Construction Integration degree. He has also been granted three patents related to heat exchanger technology for cooling systems, demonstrating his ability to translate research into practical innovations. His teaching philosophy emphasizes real-world connections, with a focus on preparing students for industry challenges through practical application of fundamentals. He has led international study trips to China, Mexico, Puerto Rico, and Barcelona to broaden students' perspectives.

Danielle Willkensمشاهده پروفایل

دانشیار

• Architectural History
• Heritage Documentation
• Digital Preservation
• +۵ مورد دیگر

Danielle Willkens is an Associate Professor at Georgia Institute of Technology's School of Architecture , where she combines design, research, and education to engage diverse audiences with architectural history. Her work spans design/build projects , heritage documentation , and transatlantic architectural studies , with a focus on digital preservation and sustainable tourism . Education: Ph.D. in Architectural History & Theory, University College London (2015) Graduate Certificate in Historic Preservation, SCAD (2011) M.Arch, University of Virginia (2008) M.Phil in History of Art & Architecture, University of Cambridge (2006) BS in Architecture + Architectural History, University of Virginia (2004) Her research interests integrate terrestrial laser scanning (TLS) , UAV photogrammetry , and heritage BIM to document sites like the Edmund Pettus Bridge and Rosenwald Schools . Recent projects include digital reconstructions of Civil Rights Movement landmarks and transatlantic architectural networks between Thomas Jefferson and Sir John Soane. Scientific awards highlight her contributions: 2015 SAH H. Allen Brooks Travelling Fellow 2017-2018 AIAS/ACSA New Faculty Teaching Award 2021 AIAS Educator Honor Award American Philosophical Society Franklin Research Grant She leads funded interdisciplinary projects such as the $50,000 NPS grant for the Edmund Pettus Bridge and $750,000 NPS Rosenwald School rehabilitation , collaborating with Auburn University and the National Center for Preservation Training.

• Advanced Manufacturing
• Laser Processing
• Surface Engineering
• +۵ مورد دیگر

Dr. Manuela Pacella is a Senior Lecturer in High-Value Manufacturing at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She serves as Academic Integrity Lead and Programme Director for the BEng/MEng Manufacturing Engineering programs. Previously, she held roles at Cardiff University (Lecturer in Laser Machining) and worked in industry with 3M and Element Six. Her research focuses on laser processing of advanced materials, surface engineering, and manufacturing innovation. Education: PhD in Mechanical Engineering (University of Nottingham, 2014), MEng in Mechanical Engineering (Technical University of Bari, Italy, summa cum laude). Professional credentials include Chartered Engineer (CEng MIMechE), Fellow of the Higher Education Academy (FHEA), and IMechE MPDS Mentor. Research interests include laser machining strategies, surface functionalization, and tribology of ultra-hard materials like diamond and boron nitride. She has pioneered techniques for enhancing tool durability and biomedical implant performance through laser-based methods. Scientific achievements include a 2017 Blackall Award nomination (ASME) and over 40 publications. She supervises >4 PhD, 25 UG, and 12 MSc students, and has served as an examiner for Birmingham University and internal examiner at Loughborough. Her work bridges academic research with industrial applications, particularly in high-value manufacturing sectors.

Pasi Lautalaمشاهده پروفایل

استاد

• Rail Transportation Engineering
• Highway-Rail Grade Crossing Safety
• Multimodal Transportation Logistics
• +۴ مورد دیگر

Pasi Lautala is a Professor in the Department of Civil, Environmental, and Geospatial Engineering at Michigan Technological University (Michigan Tech) and currently serves as the Associate Dean for Research. He holds a BS from Tampere University of Technology (Finland) and MS/PhD from Michigan Tech. His research focuses on rail and highway transportation engineering, with emphasis on grade crossing safety, multimodal logistics, sustainability, railway capacity analysis, and engineering education development. Since 2007, Lautala has directed the Rail Transportation Program (RTP) within the Michigan Tech Transportation Institute (MTTI), expanding rail research collaborations across disciplines. He leads over $10M in external research funding, including projects on trespasser safety, freight logistics, and lifecycle analysis. Lautala is a key figure in rail education revitalization, serving as Rail Group Chair at the Transportation Research Board (TRB) and advising the Michigan Commission for Supply Chain Logistics. His teaching spans courses like Transportation Engineering, Railroad Design, and Logistics Management. Lautala has advised numerous undergraduate and graduate projects, emphasizing industry partnerships. Recent contributions include developing in-vehicle auditory alerts for rail crossings and AI-driven safety systems like RAIILS. Key collaborations include the Federal Railroad Administration (FRA) on grade crossing safety ($641K+ projects), U.S. DOT on rail modal analysis, and Battelle on connected vehicle systems. He mentors the Tracks to the Future youth program and co-leads international rail education initiatives.