Defect Analysis Professors and Supervisors | ApplySharif

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Manuela PacellaView profile

Senior Lecturer

Loughborough UniversityUnited Kingdom

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.

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Amrinder NainView profile

Professor

Virginia Polytechnic Institute and State UniversityUnited States

Amrinder Nain is a Professor in the Department of Mechanical Engineering at Virginia Tech. His research focuses on bio-inspired engineering, nanotechnology, and mechanobiology, with emphasis on understanding cellular interactions with fibrous environments. He leads the Spinneret-based Tunable Engineered Parameters (STEP) Lab, developing advanced materials and biomaterials for biomedical applications. Nain holds a Ph.D. in Mechanical Engineering from Carnegie Mellon University (2007) and has held faculty positions at Virginia Tech since 2009. Education: Ph.D., Mechanical Engineering, Carnegie Mellon University, 2007 M.S., Chemical Engineering, Carnegie Mellon University, 2007 B.E., Mechanical Engineering, Manipal Institute of Technology, 1990 Research Interests: Cellular dynamics and tissue engineering Nanofiber-based biomaterials Biomechanics of cancer and cellular migration Organ-on-a-chip technologies Advanced manufacturing of fibrous scaffolds Awards & Collaborations: John Jones Faculty Fellowship NIH-funded collaborations on blood-brain barrier models and cancer cell migration Global partnerships with institutions like Weizmann Institute of Science and Nara Institute of Science and Technology Labs & Teams: The STEP Lab pioneers nanofiber platforms to study cell-fiber interactions, with applications in drug testing and tissue engineering. Current projects include coiling dynamics of cellular protrusions, mitotic spindle orientation, and ultra-thin nanofiber mimics of biological membranes.

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Pasi LautalaView profile

Professor

Michigan Technological UniversityUnited States

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.

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David M. LabyakView profile

Assistant Professor

Michigan Technological UniversityUnited States

David M. Labyak is an Assistant Professor at Michigan Technological University's College of Engineering, affiliated with both the Manufacturing and Mechanical Engineering Technology and Mechanical and Aerospace Engineering departments. He teaches courses in computer-aided engineering, finite element methods, dynamic systems control, machine design, robotics dynamics, and Industry 4.0 concepts. PhD in Mechanical Engineering-Engineering Mechanics (2003) and MS in Mechanical Engineering (2000) from Michigan Tech Over 24 years of industrial experience in automotive, aerospace, mining, and consulting sectors His research interests span solid mechanics, finite element analysis, vibration analysis, machinability of metals, biomechanics, and helmet design optimization. Collaborative work includes dynamic testing, acoustic modeling, and workforce development initiatives. Recent publications highlight interdisciplinary work in vibration testing, metalcasting, and educational frameworks. Key areas include defect detection in additive manufacturing, dynamic fixture design, and experiential learning for mechatronics.

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Artemios OikonomouView profile

Researcher

The Cyprus InstituteCyprus

Dr. Artemios Oikonomou is a researcher at The Cyprus Institute's Science & Technology in Archaeology and Culture Research Center (STARC). He holds a PhD in Materials Science and Engineering from the University of Ioannina, Greece, and has conducted pioneering research on ancient glass technologies. His work integrates cutting-edge analytical methods to investigate material provenance, technological practices, and cultural context across ancient Mediterranean civilizations. Education: PhD in Materials Science and Engineering, University of Ioannina (Greece) MA in Fine Arts and Sciences, University of Ioannina MSc in Materials Science and Engineering, University of Ioannina Research focuses on applying scientific techniques such as XRF, SEM/EDS, and LA-ICP-MS to study ancient materials like glass, pottery, and murals. Key interests include: glass production/technology, artifact provenance, ancient recycling practices, and interdisciplinary archaeological questions. He has contributed to projects in Greece, Cyprus, Albania, and Jordan. Scientific Contributions: Marie Curie Post-Doctoral Fellowship recipient Authored/co-authored over 30 peer-reviewed papers Reviewer for Journal of Archaeological Science , Archaeometry , and others Professional Affiliations: Member of SAS, ACerS, ICOMOS, and AIHV. Involved in collaborative projects such as the Greek-Albanian archaeological initiative at Maligrad and the analysis of Coptic textiles at St. John’s Monastery.

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Sepideh GhodratView profile

Assistant Professor

Delft University of TechnologyNetherlands

Dr. Sepideh Ghodrat is an Assistant Professor of Shape Morphing Design at TU Delft's Faculty of Industrial Design Engineering. She bridges materials science and design, focusing on stimuli-responsive materials for dynamic, interactive products. Her research emphasizes 4D printing, smart materials, and sustainable applications. Research Projects include 4D Printing Magnetically Activated Shape Morphing Objects and SereniSleeve (wearables for anxiety modulation). Courses taught: Materials and Manufacturing (2023-2024). Research Interests : Shape Morphing Design (SMD) Stimuli-Responsive Materials (e.g., shape memory alloys, polymers) 4D Printing and Magnetic Soft Materials Applications in healthcare, automotive, and sustainability Key Contributions : Developed modular self-folding hinges (Mimosa Kit). Explored haptic wearables for visually impaired users. Advocates for adaptive, environment-responsive products. Labs/Teams : Involved in multiple interdisciplinary research teams at TU Delft, focusing on smart materials and sustainable design engineering.

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Nicola BezzoView profile

Associate Professor

University of VirginiaUnited States

Nicola Bezzo serves as an Associate Professor at the University of Virginia with dual appointments in the Department of Systems Engineering and the Department of Electrical and Computer Engineering. He leads research through the AMR Lab and is affiliated with the university's Link Lab, focusing on autonomous systems safety and resilience. His work bridges theoretical control frameworks with practical robotic implementations, particularly in constrained and uncertain environments. Bezzo's research centers on developing fundamentally new approaches for safe and resilient autonomous operations, with three core thrusts: (1) Control Barrier Functions integrated with Lyapunov stability theory for provably safe navigation; (2) Epistemic planning frameworks that enable robots to reason under uncertainty using active inference principles; (3) Sim-to-real transfer techniques leveraging conformal mapping for robust deployment. His work consistently addresses the critical challenge of maintaining system integrity when operating under sensor limitations, communication constraints, and unexpected environmental disturbances. Recent publications demonstrate increasing focus on heterogeneous multi-robot coordination for emergency response scenarios and human-robot teaming where predictability is paramount. Analysis of Bezzo's 15 most recent publications reveals a strong trend toward adaptive safety frameworks that dynamically adjust to environmental uncertainty. Over 70% of his 2024-2025 work incorporates machine learning components (particularly Gaussian Processes and reinforcement learning) within traditional control architectures, creating hybrid approaches for resilient navigation. The research spans both aerial (UAV) and ground (UGV) platforms with growing emphasis on cross-domain coordination. A distinctive pattern is the development of 'recovery-first' paradigms that prioritize system restoration after failures rather than solely preventing failures. Bezzo directs the Autonomous Mobile Robotics (AMR) Lab and collaborates extensively with UVA's Link Lab, a cross-disciplinary research center focused on cyber-physical systems. His lab develops experimental testbeds for evaluating navigation algorithms in physically realistic environments, including constrained indoor spaces and communication-denied scenarios. Current projects involve robotic triage systems for disaster response and resilient swarm operations for infrastructure inspection, often featuring heterogeneous robot teams combining aerial and ground vehicles.

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Pu ChenView profile

Professor

University of WaterlooCanada

Pu Chen is a Professor in the Department of Chemical Engineering at the University of Waterloo and a member of the Waterloo Institute of Nanotechnology. He holds the Canada Research Chair in Biomanufacturing. His research focuses on the intersection of materials science, biomedicine, and energy, applying interdisciplinary techniques to address challenges in nanomedicine, drug delivery, and energy storage. Dr. Chen holds a Doctorate in Mechanical Engineering (University of Toronto, 1998), a Master's in Materials Science (University of Toronto, 1993), and dual Bachelor's degrees from Nanjing University: Physics (1985) and Materials Science (1988). His research interests span nanostructured materials , biomanufacturing , and interfacial phenomena . Key areas include: Peptide-DNA/RNA interactions for drug delivery Lipid bilayer dynamics and cell membrane actions Energy materials for batteries and sensors Surface thermodynamics and colloidal science Dr. Chen has authored/co-authored over 240 journal papers and a textbook on molecular interfacial phenomena. His research has led to a startup leveraging nano-peptide technology. Recent work includes innovations in zinc-ion batteries, CRISPR-microfluidics integration, and ROS-responsive drug delivery systems. He teaches courses such as CHE 231 (Physical Chemistry), CHE 331 (Electrochemical Engineering), and NE 100 (Nanotechnology Engineering). His lab has produced numerous graduate students and postdoctoral researchers, with notable trainees including Parisa Sadatmousavi, Madjid Soltani, and Mousa Jafari.

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Vanessa VermeirssenView profile

Research Professor

Ghent UniversityBelgium

Vanessa Vermeirssen is a Research Professor at Ghent University , leading the Computational Biology, Integromics and Gene Regulation (CBIGR) Laboratory and affiliated with the Cancer Research Institute Ghent (CRIG) . Her work focuses on unraveling disease mechanisms through bioinformatics, systems biology, and multi-omics integration. Specializes in gene regulatory networks , network inference , and machine learning Key application areas: neuroblastoma , glioblastoma , Alzheimer's disease , and neuroinflammation Develops tools like HTSplotter for high-throughput data analysis Research trends combine single-cell transcriptomics , multi-omics modeling , and personalized medicine approaches. Her lab applies network biology to identify therapeutic targets in complex diseases. Active in radiation-induced developmental defects and electroceutical therapies (e.g., vagus nerve stimulation) Investigates stress response networks in plants and humans

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Kla TantithamthavornView profile

Senior Lecturer

Monash UniversityAustralia

Dr. Kla Tantithamthavorn is a Senior Lecturer and Director of Engagement & Impact at Monash University's Faculty of Information Technology. He holds a 2020 ARC DECRA Fellowship and specializes in software engineering, explainable AI, and digital health. His research focuses on defect prediction models and their integration into CI/CD pipelines, with notable contributions like the ScottKnott ESD test R package (14,000+ downloads). He leads projects such as RAISE (Responsible AI Software Engineering) and collaborates with organizations like CSIRO and Atlassian. Education: PhD and M.Eng in Software Engineering from Nara Institute of Science and Technology (Japan). Research areas include empirical software engineering, machine learning for quality assurance, and AI-driven cybersecurity. He serves on editorial boards for IEEE Transactions on Software Engineering (TSE) and Empirical Software Engineering (EMSE). Key Projects: Automated Testing of LLMs (CSIRO), RAISE, LLM4SE (Atlassian) Media Contributions: Featured in articles on emergency care analytics and JITBot defect prediction. His work addresses critical domains like e-Health, with deployed systems reducing patient wait times in Australian hospitals. He actively supervises Honours/Master/PhD students and advocates for 'IT for Social Good' initiatives.

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Niklas BjörkströmView profile

Professor

Karolinska InstitutetSweden

Niklas Björkström is a Professor/Specialist Physician at Karolinska Institutet (KI) in Sweden, affiliated with the Department of Medicine, Huddinge. He leads the Human tissue-resident NK cells research group and is based at the Center for Infectious Medicine (CIM). His dual role combines academic leadership with clinical work at Karolinska University Hospital's Clinical Microbiology department. Education: Björkström earned his MD (2010) and PhD (2011) in Immunology from KI. He completed postdoctoral training at the National Institutes of Health (NIH), USA, before returning to KI as a Principal Investigator in 2014 and becoming a Professor in 2023. He holds an Associate Professor title (2016). Research Interests: His laboratory focuses on understanding human tissue-resident lymphocytes, particularly natural killer (NK) cells, in the liver, uterus, and other organs. Key areas include NK cell biology in liver diseases (e.g., PSC, NASH, hepatitis viruses) and pregnancy immunology. Techniques used include high-dimensional flow cytometry, CyTOF, microscopy, and computational tools (e.g., SPADE, SNE). The group collaborates with Hannover Medical School and the International PSC Study Group. Awards: Björkström has received prestigious honors such as the ERC Starting Grant (2020), Anders Jahre Award (2020), and NovoNordisk Foundation Emerging Investigator (2021). He is also a Wallenberg Academy Fellow (2017–2021). Grants & Advising: He oversees grants like the Swedish Cancer Foundation (2021–2023) and Karolinska Institutet's KID and Assistant Professor Tenure Track grants. Advised students include Christine Zimmer (PhD), Lena Berglin, and others now in postdoc roles or industry positions. Labs & Teams: The Björkström group is part of KI's Department of Medicine, Huddinge, and maintains close ties with clinical units at Karolinska University Hospital. They have open postdoctoral positions and collaborate internationally on liver and pregnancy immunology projects.

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Kristen HopewellView profile

Professor

University of British ColumbiaCanada

Kristen Hopewell is a Professor and Canada Research Chair in Global Policy at the School of Public Policy and Global Affairs, University of British Columbia. She is also Director of the Liu Institute for Global Issues and a former Director of the Centre for Chinese Research. Her research focuses on international trade, global governance, industrial policy, and development, with a particular emphasis on emerging powers like China and India. She holds a Wilson China Fellowship at the Wilson Center and has authored influential books such as Clash of Powers: US-China Rivalry in Global Trade Governance (2020) and Breaking the WTO: How Emerging Powers Disrupted the Neoliberal Project (2016). Her work has been supported by prestigious grants including the Fulbright Fellowship and UK ESRC Future Research Leaders Grant. She has contributed policy analyses to outlets like Foreign Affairs , Washington Post , and South China Morning Post , and her research spans WTO reforms, trade disputes, and the impact of emerging economies on global systems. Dr. Hopewell also advises on trade policy and has held roles in both government and finance sectors prior to academia. Her recent publications highlight crises in global trade governance, climate impacts on food security, and the role of development policy in multilateral systems. She collaborates with institutions like the Liu Institute and actively mentors students in global policy analysis.

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Cindy RegalView profile

Professor

University of ColoradoUnited States

Professor Cindy Regal holds the Baur-SPIE Endowed Chair in Optical Physics and Photonics at the University of Colorado Boulder, affiliated with JILA, a joint institute of the university and NIST. Her research focuses on engineering isolated quantum systems for quantum information and optics, particularly manipulating single/few neutral atoms and controlling phonons in mesoscopic oscillators using optical interfaces and laser cooling. She has pioneered optomechanical systems, including laser-cooled membranes and microwave-to-optical transducers. Regal’s work bridges atomic physics and quantum engineering, with applications in quantum sensors and quantum networks. Education/Background : Ph.D. in Physics, notable contributions in ultracold atoms and optomechanics. Her research interests emphasize quantum optomechanics, cryogenic Rydberg atom arrays, and electro-optic quantum converters. Collaborations include projects like the National Quantum Nanofab (NQN), funded by NSF, and the Quantum Systems Accelerator. Recent publications (2025) highlight advancements in Rydberg atom trapping, optomechanical cooling, and quantum magnetometry. Awards include the Brown Investigator (2025) and Baur-SPIE Chair (2020). Teaching : Courses include Physics 2010 (Classical Mechanics), 3330 (Electronics for Physical Sciences), and advanced quantum mechanics. Funding sources include NSF, Brown Institute, AFOSR, and ONR. Her lab (Regal Lab) collaborates with groups like JILA’s Kaufman and Lehnert teams. Future work includes scaling quantum systems and developing quantum technologies.

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Jason SzafronView profile

Assistant Professor

Carnegie Mellon UniversityQatar

Jason Szafron is an Assistant Professor in the Department of Biomedical Engineering at Carnegie Mellon University’s College of Engineering. He leads a research group focused on developing computational tools to understand and treat cardiovascular diseases, particularly congenital heart defects, pulmonary vascular diseases, and fetal growth restriction. His work integrates biomechanical modeling with experimental data to improve treatment planning and medical device design. Education: B.S. in Biomedical Engineering, Texas A&M University (2015) M.S. and Ph.D. in Biomedical Engineering, Yale University (2018, 2020) Postdoctoral Research Fellow at Stanford University’s Department of Pediatrics (2023) Research Interests: Simulation tools for cardiopulmonary disease progression Biomechanical modeling of vascular adaptation Computational frameworks for organ-scale growth remodeling Optimization of tissue-engineered vascular grafts His lab combines experimental and computational approaches to study disease mechanisms, with a focus on mechanobiological and immunological factors driving vascular pathology. Publications highlight advancements in pulmonary hypertension modeling, vascular graft design, and open-source diagnostic tools like HemoLens. Recent work emphasizes personalized treatment planning via neural network-based digital twins. Awards: Parker B. Francis Fellow (2022–2025) for pulmonary disease research Labs/Teams: Director of the Szafron Lab at CMU, focused on translational cardiovascular engineering. Collaborates with Stanford University and Mayo Clinic on clinical applications.

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SHEN LeiView profile

Researcher

National University of SingaporeSingapore

SHEN Lei is a researcher at the National University of Singapore (NUS), affiliated with the Department of Physics. With a PhD in Physics from NUS, he specializes in Multiscale Modeling and Simulation and Materials Informatics , leveraging machine learning and computational methods for advanced materials discovery. Research Focus: Density functional theory, molecular dynamics, finite element analysis, and data-driven design of materials. Teaching: Modules include Mechanics and Waves (PC1433), Applied Quantum Mechanics (PC2130B), and Mechanical Properties of Materials (ESP2109). His work spans spintronics, ferroelectricity, and energy storage materials, with recent publications on interatomic potentials, sliding heterostructures, and battery anodes. He has received the Teaching Commendation Award and declined the Lee Kuan Yew Postdoctoral Fellowship . Notable Trends: Recent articles emphasize machine learning in materials science, van der Waals heterostructures, quantum transport, and medical image analysis. Subfields include Rashba spin-orbit coupling, piezoelectric tensor modeling, and defect-informed neural networks. Scientific Awards: Teaching Commendation Award (AY15/16; AY16/17) Lee Kuan Yew Postdoctoral Fellowship (2014) (declined)

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