جستجوی استاد راهنمای دانشگاهی

• Analytical Chemistry
• Chemometrics
• Food Chemistry
• +۳ مورد دیگر

Alessandro Ulrici is a Full Professor of Analytical Chemistry (SSD CHIM/01) in the Department of Life Sciences at the University of Modena and Reggio Emilia (UNIMORE), a position he has held since December 2023. He also serves as Vice-Director of the Department of Life Sciences. Previously, he was an Associate Professor at UNIMORE from November 2010 to December 2023 and a University Researcher from August 2001 to October 2010. Professor Ulrici's research focuses on three main areas: Development and application of rapid, non-destructive analytical techniques based on chemometric approaches for food control and characterization Development of new algorithms for signal and image analysis, for the selection of significant variables and for the study of complex systems Product and process optimization through multivariate experimental design techniques His recent publications (2023-2025) demonstrate a strong focus on applying advanced analytical techniques to food science problems, particularly in viticulture and oenology, food authentication, and quality control. His work frequently employs NIR hyperspectral imaging, electrochemical sensors, and smartphone-based analytical devices, combined with sophisticated chemometric analysis. Professor Ulrici has received numerous scientific awards including: Highly cited research paper 2016 from Chemometrics and Intelligent Laboratory Systems Multiple Best Poster and Best Oral Presentation Awards from NIRITALIA, IASIM, and the Scandinavian Symposium on Chemometrics As an educator, Professor Ulrici teaches courses in Analytical Chemistry and Chemometrics for undergraduate and graduate students in biotechnology, food safety, and agricultural sciences. He previously served as Coordinator of the PhD Course in Agri-Food Sciences, Technologies and Biotechnologies at UNIMORE from 2017 to 2023. Professor Ulrici directs research activities through the Chemistry and Spectroscopy Laboratory (ChimSLab) at UNIMORE, which maintains an online presence at http://www.chimslab.unimore.it/ .

Ilyass Tabiaiمشاهده پروفایل

استاد

• Innovative materials and advanced manufacturing
• Intelligent and Autonomous Systems
• Composite materials
• +۴ مورد دیگر

Ilyass Tabiai is a Professor in the Department of Mechanical Engineering at École de technologie supérieure (ÉTS) in Montreal, Canada. He holds affiliations with the INIT Robots Laboratory where he conducts research on intuitive human-robot interaction and autonomous systems. His academic responsibilities include teaching graduate courses in composite materials, polymer forming, and aeronautics. Professor Tabiai's research spans two primary domains: Innovative materials and advanced manufacturing focusing on composite materials, 3D printing technologies, and sustainable manufacturing processes; and Intelligent and Autonomous Systems with applications in aerospace and robotics. His work frequently explores the intersection of materials science and space technology, including lunar regolith composites and in-situ resource utilization. Analysis of his 15 most recent publications (2022-2025) reveals strong emphasis on: Advanced composite materials characterization and degradation mechanisms Additive manufacturing innovations for aerospace applications Sustainable material processing and recycling techniques Lightweight structural design and testing methodologies These publications consistently demonstrate interdisciplinary approaches combining materials science, mechanical engineering, and space technology. Professor Tabiai maintains an active research group supervising 38 students across doctoral, master's, and applied projects. Current student research includes: Multiscale measurements for aerospace composites 3D printing of polymer/regolith composites for space applications Polymer microlattice structures for aerostat systems Non-local modeling of heterogeneous materials Through the INIT Robots Laboratory, he leads projects developing robotic systems for construction automation, space structure fabrication, and human-robot interaction paradigms.

• Sustainable Development, Circular Economy and Environmental Issues
• Infrastructure and Built Environment
• Intelligent and Autonomous Systems
• +۱ مورد دیگر

Gabriel J. Assaf is a Professor in the Department of Construction Engineering at École de technologie supérieure (ÉTS). He holds a B.Sc.A. and M.Sc.A. from Polytechnique Montréal and a Ph.D. from the University of Waterloo. His research integrates four key areas: Sustainable Development, Circular Economy, and Environmental Issues Infrastructure and Built Environment Intelligent and Autonomous Systems Software Systems, Multimedia, and Cybersecurity He specializes in pavement design, rehabilitation, statistical modeling, and infrastructure management. Recent publications emphasize sustainable materials (e.g., desert sand in asphalt), smart pavement systems using AI/AR, and lifecycle analysis of infrastructure. Professor Assaf has supervised 100+ graduate students, with projects spanning pavement deterioration modeling, environmental impact integration, and infrastructure optimization in challenging climates. He maintains active collaborations with global partners in Sub-Saharan Africa and the Middle East.

Zhe Wanمشاهده پروفایل

استادیار

• Civil Engineering materials
• Pavement preservation and rehabilitation
• Sustainable and resilient transportation infrastructure systems
• +۳ مورد دیگر

Zhe Wan serves as Assistant Professor in the Department of Civil Engineering at New Mexico State University since January 2025, following his role as Professor of Practice (2023-2024). His academic journey includes postdoctoral work at Rutgers University and graduate studies at the University of Pittsburgh and University of Southern California. His educational background includes: Ph.D. in Civil Engineering, University of Pittsburgh (2017-2022) M.Sc. in Structural Engineering, University of Southern California (2015-2017) B.Sc. in Civil Engineering, Hefei University of Technology (2009-2013) Dr. Wan's research centers on transportation infrastructure resilience , with expertise spanning pavement engineering, sustainable materials, and structural analysis. His work integrates computational modeling with experimental validation to address critical challenges in infrastructure performance, particularly focusing on airfield pavements , UAV-based inspection systems , and energy-harvesting technologies for civil infrastructure. Recent publications demonstrate strong interdisciplinary collaboration across engineering disciplines. His publication output shows consistent productivity with 11 articles from 2022-2024, featuring in transportation engineering journals like Transportation Research Record and materials science venues including Applied Materials Today . The research portfolio reveals evolving focus from pavement mechanics toward smart infrastructure systems and nanotechnology applications. Dr. Wan maintains active collaborations with researchers across multiple institutions, as evidenced by co-authorship networks spanning Rutgers University, University of Pittsburgh, and biomedical engineering groups. His professional trajectory shows steady progression from graduate researcher to independent faculty, with current work emphasizing practical solutions for sustainable infrastructure systems.

Erwin Wojtczakمشاهده پروفایل

استادیار

• Guided wave propagation
• Ultrasonic wave propagation
• Adhesive joints
• +۷ مورد دیگر

Erwin Wojtczak is an Assistant Professor at the Department of Mechanics of Materials and Structures, Faculty of Civil and Environmental Engineering, Gdańsk University of Technology. He obtained his doctoral degree (dr inż.) in Civil Engineering, Geodesy and Transport in November 2022. His research focuses on: Guided wave propagation for structural health monitoring Non-destructive testing of adhesive joints and concrete structures Ultrasonic wave propagation in heterogeneous materials Additive manufacturing and metamaterials for civil engineering applications Damage detection and fracture process characterization Dr. Wojtczak's recent publications demonstrate a strong focus on applying ultrasonic and wave-based techniques for structural diagnostics. His work spans concrete structures, adhesive joints, and additively manufactured components, with emphasis on developing novel non-destructive evaluation methods. He has published extensively in journals such as Ultrasonics, Journal of Building Engineering, and Materials. His scientific achievements include 9 recognized contributions to the field, though specific awards are not detailed in the available information. Dr. Wojtczak actively supervises student theses and leads research projects, including the PRELUDIUM project "Development of a method for identification of parameters and damage detection in additive manufactured composite elements using ultrasonic wave propagation." He is also involved with the Scientific Circle of Structural Mechanics KOMBO as a scientific supervisor. He is a member of research teams focused on material strength and structural mechanics, collaborating with industry partners in construction-related fields.

Shahrooz Mark Jahanbinمشاهده پروفایل

استاد

• Aviation Safety and Security
• Structural Engineering
• Aircraft Certification
• +۳ مورد دیگر

Shahrooz Mark Jahanbin serves as Professor in the College of Aviation at Embry-Riddle Aeronautical University, specializing in aviation safety, structural design certification, and risk-based compliance strategies. He concurrently holds the position of sponsorship chairman for the International Society of Air Safety Investigators and previously served as community commissioner for diversity, equity and inclusion. His academic credentials include: Ph.D. and M.S. in Mechanical Engineering with minor in Aerospace MBA B.S. in Aeronautics Professor Jahanbin's research centers on aviation safety innovation through structural integrity analysis and AI integration for unmanned systems. He pioneered the Safety Rainbow risk assessment methodology and advanced ultrasonic guided wave techniques for structural health monitoring of composite aircraft components. His current work focuses on risk-based compliance frameworks for emerging aviation technologies, bridging engineering precision with regulatory practicality. Publication trends reveal consistent output in structural monitoring (63% of works), with patents dominating recent activity (2021-2025). His research shows increasing specialization in AI-driven safety systems while maintaining core expertise in non-destructive testing methodologies, reflecting the aviation industry's technological evolution. With extensive industry experience at Boeing, SpaceX, Leonardo Helicopters, and Northrop Grumman, Professor Jahanbin brings practical engineering leadership to academia. His mentorship emphasizes real-world safety applications, and professional society roles (ASME, SPIE, ISASI) facilitate industry-academia knowledge transfer. While specific grant details aren't public, his patent portfolio indicates robust research funding. Outside academia, he contributes as a licensed volleyball coach and community diversity advocate, demonstrating commitment to holistic development beyond engineering.

• Non-destructive Testing
• Advanced Sensor Technologies
• Sampling Network Design
• +۳ مورد دیگر

Dr. Tianxing Cai serves as Assistant Professor in the Department of Chemical Engineering within Hampton University's School of Engineering, Architecture and Aviation. An experienced educator and researcher, he specializes in non-destructive testing and sensor technologies with applications spanning chemical manufacturing reliability, environmental monitoring, and critical infrastructure security. For over a decade, he has mentored underrepresented STEM students as faculty advisor for the National Society of Black Engineers (NSBE). His research program focuses on developing advanced sensing methodologies for real-world industrial challenges. Key areas include non-destructive evaluation of material integrity, interfacial phenomenon analysis for corrosion detection, and optimized sampling networks for environmental quality assessment. This work bridges fundamental surface science with practical engineering solutions for equipment health monitoring and infrastructure protection. Recent publications (2021-2024) demonstrate consistent output in high-impact journals including Langmuir , Frontiers in Chemical Engineering , and Corrosion Engineering, Science and Technology . His work shows increasing specialization in corrosion detection techniques, with a 2024 review paper establishing comprehensive frameworks for non-destructive evaluation methods. Dr. Cai's academic service is highlighted by his decade-long NSBE mentorship, providing leadership development and professional guidance to underrepresented engineering students. His teaching philosophy emphasizes real-world application integration to prepare students for industry challenges in safety-critical systems. Research activities appear supported by university resources within the Chemical Engineering department, with recent publications indicating active investigation of interfacial modulus applications and corrosion monitoring systems. While specific grants aren't documented, the applied nature of his work suggests industry-relevant funding avenues.

Jeffrey Dellosaمشاهده پروفایل

استاد

• Renewable Energy
• Solar Photovoltaics
• Energy Engineering
• +۲ مورد دیگر

Jeffrey Dellosa serves as a Professor at Caraga State University in the College of Engineering and Geosciences, Butuan, Philippines. His academic career focuses on renewable energy research with particular emphasis on solar photovoltaic systems for rural development applications in the Philippines. He holds a Doctor of Engineering degree specializing in Renewable Energy from Ateneo de Davao University (2019-2023). Education: Doctor of Engineering in Renewable Energy, Ateneo de Davao University (2019-2023) Professor Dellosa's research spans multiple domains within renewable energy engineering, with particular expertise in solar photovoltaics, energy conversion systems, and power generation technologies. His work bridges theoretical research with practical applications for rural electrification and sustainable development. Current research directions include floating solar photovoltaic systems, IoT-based energy monitoring, and renewable energy integration for healthcare facilities. Analysis of his publication record reveals a strong emphasis on practical implementation of renewable energy solutions in the Philippine context, with increasing focus on interdisciplinary approaches combining AI, IoT, and traditional energy engineering. Recent publications demonstrate a shift toward comprehensive system design that addresses both technical and socioeconomic aspects of renewable energy deployment in rural communities. Professor Dellosa leads research in Nelson Jr Enano's Lab and collaborates extensively with regional institutions on renewable energy projects. His work has resulted in 67 publications with significant readership (60,773 reads) and citations (286 citations), demonstrating impactful contributions to the field of renewable energy engineering in Southeast Asia.

Andreas Hennigمشاهده پروفایل

استاد

• Biomedical Sensors
• Wireless Sensor Networks
• Inductive Sensing
• +۴ مورد دیگر

Prof. Dr. Andreas Hennig is a Professor of Medical Sensor Systems at the Institute of Measurement and Sensor Technology, Ruhr West University of Applied Sciences since 2022. He serves as Program Director for the Master's program in Sustainable Health Technologies and previously held leadership roles at Fraunhofer IMS from 2006-2022 as Group Leader for Wireless Sensorics and Program Manager for Sustainable Production. He earned his Master of Science in Electrical Engineering from Bergische Universität Wuppertal (2001-2006) and completed his PhD at the University of Duisburg-Essen (2006-2009) on optimizing transmission methods for implantable telemetry sensor systems. His research pioneers non-contact sensing through inductive techniques, quantum magnetometry, and machine learning for medical diagnostics (neonatal vital monitoring, biomagnetic sensing), Industry 4.0 applications (predictive maintenance, sustainable production), and Smart City infrastructure. Current projects focus on quantum sensors for electromagnetic tracking and inductive methods for industrial process monitoring in steel manufacturing. Publications reveal an evolution from biomedical wireless sensors (2010-2015) toward industrial quantum sensing (2018-2024), with recent work emphasizing microscale electromagnetic tracking and magnetic property evaluation in hot-rolling mills. Prof. Hennig supervises theses on vital parameter monitoring for newborns, quantum biomagnetic sensing, and sustainable industrial process monitoring. He has secured funding for projects including SmartNeonatalCare, GenSATIon-EDGE, INNERVATE, and FabLab collaborations (QuFabLab, QuMiniLabs), demonstrating strong grant acquisition capabilities. He directs the LASIMM research laboratory equipped for PCB prototyping (reflow/SMD assembly), 3D printing, and advanced measurement (Impedance/Network Analyzers). His team comprises six scientific staff members including Anika Nietert, Christine Bremer, and Thomas Thuilot, supporting both academic research and student projects.

Jun Wangمشاهده پروفایل

استادیار

• Civil Engineering
• Structural Engineering
• Infrastructure Sustainability
• +۴ مورد دیگر

Jun Wang is an Assistant Professor in the Department of Civil, Environmental, and Construction Engineering at the University of Hawaii at Manoa since 2024. His research advances infrastructure sustainability through simulating multi-hazard infrastructure behavior, machine learning for structural health monitoring, and innovative repair techniques using advanced materials. His educational background includes: Ph.D. in Civil Engineering from the University of Colorado, Denver (2020) M.S. in Civil Engineering from the University of Colorado, Denver (2014) B.S. in Civil Engineering from Northeast Forestry University (2014) Dr. Wang specializes in structural engineering with emphasis on infrastructure resilience under seismic and fire events, CFRP/UHPC strengthening systems, and machine learning applications for structural assessment. His work bridges computational modeling with experimental validation to enhance infrastructure longevity and sustainability, particularly in bridge engineering and concrete technology. Analysis of his 13 recent publications (2019-2024) reveals dominant research streams in ultra-high performance concrete (UHPC) behavior, fiber-reinforced polymer (CFRP) strengthening systems, and machine learning applications for recycled concrete and crack detection. Key interdisciplinary themes include multi-hazard resilience, sustainable materials, and computational structural analysis, with strong industry relevance to bridge engineering standards. His scientific awards include: BEI-2023 Rome, Italy Travel Fellowship (2023) Outstanding Presentation Award at the 1st Annual Symposium of TriDurLE Rocky Mountain Section Society of Women Engineers Scholarship (Pioneer, 2020) Rocky Mountain Chapter American Concrete Institute Graduate Scholarship (2017) Dr. Wang actively contributes to the academic community as a reviewer for the Journal of Materials in Civil Engineering (ASCE), American Concrete Institute journals, Structures, Materials & Design, and Journal of Cleaner Production. He serves on the Diversity, Equity, and Inclusion Committee of the Bridge Engineering Institute (BEI) and teaches CEE 381: Structural Analysis at the University of Hawaii.