Find Academic Supervisors

• Manufacturing Engineering
• Welding Technologies
• Non-Destructive Testing
• +5 more

Manuela De Maddis is a Tenured Researcher at the Department of Management and Production Engineering (DIGEP) of the Polytechnic of Turin (PoliTo), where she has worked since 2005. She is also a member of the Interdepartmental Center J-Tech@PoliTo. PhD in Industrial Production System Engineering (2004), Polytechnic of Turin MSc in Management Engineering (2001), University of Calabria Her research focuses on Manufacturing Technologies , particularly Welding Processes and Infrared Thermography for non-destructive testing. She leads projects like TECNOPROTEO (2024-2027) and NDTxW (2024-2025) as Scientific Manager. Her work integrates Machine Learning and High-Fidelity Modeling for digital manufacturing systems. Recent publications analyze active thermography in weld quality, electrode degradation in spot welding, and probabilistic tolerancing methods. She supervises PhD students in Materials Science and Production Engineering . Mentoring Polito Project (M2P) (2023) Learning to Teach (L2T) (2023) Manuela teaches courses like Industrial Welding Processes , Advanced Manufacturing Technologies , and Ergonomics in Production Innovation at both undergraduate and graduate levels. She contributes to interdisciplinary labs focused on Manufacturing Process Innovation and Technological Validation .

• High-Performance Buildings
• Net-Zero Energy Systems
• Building Thermal Modeling
• +5 more

Yuxiang Chen is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta. His research focuses on high-performance buildings, net-zero energy systems, and sustainable construction practices. He integrates advanced modeling techniques, renewable energy solutions, and intelligent design strategies to optimize building performance in cold climates. PhD, Building Engineering (2013), Concordia University MASc, Building Engineering (2008), Concordia University BEng, Building Engineering (2006), Concordia University Dr. Chen’s work emphasizes modular construction, thermal energy storage, and data-driven modeling for building systems. He explores the use of robotics in construction, thermal resistance of masonry walls, and energy-efficient community greenhouses tailored for cold regions. His recent publications highlight trends in building thermal dynamics, with a focus on resistor-capacitor (RC) models, hybrid heating systems, and snow accumulation impacts on solar panels. He also contributes to cold-climate energy management and smart home integration.

David M. LabyakView profile

Assistant Professor

• Solid Mechanics
• Finite Element Analysis
• Vibration Analysis
• +13 more

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.

• Cybersecurity
• IoT Security
• Network Anomaly Detection
• +5 more

Gabriela F. Ciocarlie is a Researcher at SRI International, focusing on advancing cybersecurity, IoT security, and formal verification techniques. Her work bridges theoretical computer science with practical applications in critical infrastructure protection and manufacturing systems. She has contributed to over 48 publications across conferences like CCS, NDSS, and IEEE venues. Her research interests span adversarial machine learning, secure manufacturing automation, and resilient biomanufacturing systems. Notable projects include developing frameworks for verifying manufacturing design integrity and creating end-to-end security solutions for cyber-physical systems. She has also pioneered work on deployable adversarial attacks against neural networks and automated attack investigation tools like autoMPI. Key collaborations include partnerships with institutions like Columbia University (former affiliation) and industry leaders. Her work often addresses real-world challenges such as pandemic-resilient biomanufacturing and securing critical infrastructure through cyber-physical integration.

Sreenath Chalil MadathilView profile

Assistant Professor

• Operations Research
• Data Science
• Healthcare Systems
• +3 more

Sreenath Chalil Madathil is an Assistant Professor in the Department of Systems Science and Industrial Engineering at Binghamton University. His academic journey includes previous roles as Assistant Professor at the University of Texas at El Paso (2019–2021) and Research Scientist at the Watson Institute of Systems Excellence (WISE) at Binghamton University's Research Foundation (2017–2019). He holds a PhD and MS in Industrial Engineering from Clemson University, an MS in Data Science from the University of Texas at Austin, and a Bachelor of Technology in Electrical and Electronics Engineering from Mahatma Gandhi University, India. Dr. Madathil's research focuses on applying operations research, simulation modeling, and data science to address healthcare challenges such as patient-centered care and healthcare disparities. His work bridges theoretical methodologies with practical applications, including maternal healthcare equity, healthcare facility design, and supply chain resilience. He has secured funding from the National Science Foundation and the U.S. Department of Commerce. Prior to academia, he gained industry experience as a software consultant and client-side analyst at Cognizant Technology Solutions (2006–2011), alongside collaborations with Los Alamos National Lab and BMW Manufacturing. His research has been published in high-impact journals like Healthcare Management Science and Computers and Industrial Engineering . His professional expertise spans interdisciplinary projects, including optimizing healthcare workflows, analyzing social media data for public health interventions, and developing resilient microgrid systems. Current research trends include leveraging AI/ML techniques for healthcare analytics and improving operational efficiency in healthcare systems.

Srikanth RangarajanView profile

Assistant Professor

• Energy Storage Management
• Thermal Management Systems
• Electronics Packaging
• +7 more

Srikanth Rangarajan is an Assistant Professor at Binghamton University's School of Systems Science and Industrial Engineering. He holds a PhD and MS from the Indian Institute of Technology Madras (2017) and a BE from Anna University Chennai (2011). His research focuses on energy storage systems, thermal management of electronics, battery optimization, and digital twinning. He previously served as an Associate Research Professor in Mechanical Engineering at Binghamton under Bahgat Sammakia. Rangarajan authored the book Phase Change Material Heat Sinks: A multi-objective Perspective and holds a patent for a rotatable heat sink design. His teaching includes optimization techniques, thermal modeling, and neural networks. Recent work explores virus spread modeling via genetic algorithms, with a preprint under review in Journal of Healthcare Informatics . He has received multiple awards including an Institute Post-Doctoral Fellowship and Research Assistantships from the Indian government. His research bridges thermal engineering with advanced manufacturing and sustainability, addressing challenges in high-power electronics and data center cooling. Education: BE in Mechanical Engineering, Anna University (2011) MS in Thermal Engineering, IIT Madras (2017) PhD in Heat Transfer, IIT Madras (2017) Research Interests: Digital twin systems for battery optimization Thermal energy storage design Advanced electronics packaging Data center cooling innovations Phase change material composites His recent articles highlight cooling solutions for high-density electronics, battery recycling challenges, and predictive models for epidemiological patterns using computational methods. Ongoing work includes embedded cooling technologies for heterogeneous integrated circuits and sustainable thermal management strategies. Awards: Patent: Rotatable Heat Sink (Government of India) Institute Post-Doctoral Fellowship (IIT Madras, 2017) Research Associate, Divecha Centre (IISc, 2017) Half-Time Research Assistantship (MHRD, 2012-2013) Advising & Grants: While no formal advisees are listed, his prior roles indicate involvement in mentorship. His research has been supported by institutional grants including those from the Indian Ministry of Human Resource Development. Labs/Teams: Active in Binghamton's Systems Science and Industrial Engineering lab, collaborating on thermal management and additive manufacturing projects.

• Materials Science
• Mechanical Engineering
• Grain Boundary Dynamics
• +7 more

Huck Beng Chew is a Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC). His research focuses on materials science, mechanical engineering, and nanocomposite interfaces, with a particular emphasis on grain boundary dynamics, molecular dynamics simulation, and fracture mechanics. He leads studies on advanced materials such as titanium composites, boron nitride nanotubes, and magnesium alloys, investigating their deformation mechanisms, fatigue behavior, and interfacial strengthening. Chew’s work bridges experimental and computational approaches, utilizing techniques like synchrotron X-ray diffraction, molecular dynamics modeling, and physics-informed neural networks. His research addresses challenges in additive manufacturing, fracture toughness, and ion-beam interactions with materials. Collaborations span interdisciplinary fields, including aerospace engineering, plasma physics, and nanotechnology. Notable contributions include studies on cohesive zone laws for fatigue cracks, microvoiding damage modeling, and interfacial mechanics in nanolayered alloys. His work has been published in high-impact journals such as Acta Materialia , Journal of the Mechanics and Physics of Solids , and Materialia . Chew’s research is supported by grants focusing on nanocomposite mechanics and 3D-printed ceramics. His findings advance material design for high-strength applications in aerospace, energy storage systems, and thermal protection materials.

• Advanced Coal Utilization
• Biomass Gasification
• Biofuels Production
• +3 more

Professor Sankar Bhattacharya is a distinguished academic at Monash University's Department of Chemical & Biological Engineering within the Faculty of Engineering. His career spans industry roles in India, Thailand, Australia, and France, followed by an academic focus on advanced coal and biomass utilization, gasification, biofuels, and catalysis. He leads a research group of 16 PhD students and two research fellows, having supervised 12 PhD completions. His work contributes to UN SDGs related to affordable and clean energy, industry innovation, and climate action. Research focuses on gasification of coal/biomass/algae, liquid fuels from brown coal, and CO₂ utilization. He advises Japan's METI on clean coal and the IEA's Cleaner Fossil Fuels program. Awards include Fellow of the Australian Institute of Energy and membership in the American Chemical Society. Key projects include leadership in ARC Research Hubs for carbon waste valorization and battery recycling. His 240+ publications span catalysis, energy systems, and waste-to-value technologies. Research highlights include catalyst development for hydrogen production, critical metal recovery from coal ash, and ammonia fuel cell innovations. Teaching commitments include courses on energy-environmental systems and biorefinery processes. Collaborations span global institutions, emphasizing sustainable energy solutions and circular economies.

• Fluid Power
• Additive Manufacturing
• Smart Manufacturing
• +4 more

Dr. José Garcia-Bravo is an Associate Professor at the Purdue Polytechnic Institute, Department of Mechanical Engineering Technology, specializing in fluid power systems, additive manufacturing, and smart manufacturing using Industrial Internet of Things (IIoT) technologies. His work bridges applied research with educational innovation, including the development of a miniature electro-hydraulic excavator arm and the Fluid Power Student Club. Education: Ph.D. in Engineering (Fluid Power), Purdue University, 2011 M.Sc. in Engineering, Purdue University, 2006 M.A. in Teaching of Spanish, Purdue University, 2004 B.Sc. in Mechanical Engineering, Universidad de Los Andes, 2002 His research interests span fluid power & motion control, digital twins, reverse osmosis systems, and mixed reality applications in manufacturing. He focuses on optimizing hydraulic systems for heavy-duty vehicles, embedding sensors in 3D-printed components, and advancing water purification technologies. Recent publications highlight innovations in digital hydraulics, bio-based packaging materials, and reverse osmosis efficiency. He has secured patents for 3D-printed lens gratings and processes for additive manufacturing. Scientific Awards: Purdue Polytechnic Outstanding Faculty in Learning Award (2019) Purdue Polytechnic Outstanding Faculty in Engagement Award (2022) Dr. Garcia-Bravo actively engages in globalizing fluid power education, facilitating student exchanges with Latin American countries and contributing to international standards for hydraulic components through ISO committees.

Aoyi LuoView profile

Assistant Professor

• Solid Mechanics
• Materials Design and Manufacturing
• Soft Robotics
• +3 more

Aoyi Luo is an Assistant Professor at Syracuse University, specializing in interdisciplinary research at the intersection of mechanics, materials science, and robotics. Their work focuses on advancing adhesion mechanisms, soft robotics, and manufacturing processes through computational methods and data-driven approaches. Research interests include microtransfer printing optimization, variable stiffness structures, architected materials design, and humidity-responsive adhesives. The group leverages machine learning and mechanics principles to solve challenges in robotics and manufacturing. Publications span topics like dry adhesive optimization, soft robotic gripping, and fracture mechanics in materials. Collaborations involve multi-author studies on advanced materials and their applications in real-world systems. No scientific awards are explicitly mentioned, but ongoing research highlights innovation in smart materials and sustainable manufacturing. Advising and grants are not detailed, though the active research group implies student involvement in experimental and computational projects. The group's work contributes to labs focused on mechanics-driven material innovation and robotic systems.

Yongxin ZhaoView profile

Associate Professor

• Bioengineering
• Cell and Tissue Engineering
• Diagnostic and Therapeutic Methods
• +5 more

Dr. Yongxin (Leon) Zhao is an Associate Professor in Biomedical Engineering and Biological Sciences at Carnegie Mellon University's College of Engineering. He leads a research group developing tools for understanding biological systems at the biomolecular level, with a focus on expansion microscopy and optogenetic probes. His work has advanced nanoscale imaging and diagnostic methodologies, supported by grants from NIH, NSF, DoD, and others. Education: B.S., Sun Yat-Sen University (2009); Ph.D., University of Alberta (2014); Postdoctoral Research at University of Alberta (2014). Key achievements include the GECO calcium indicators and QuasAr voltage indicators, and foundational contributions to expansion microscopy (Nature Biotechnology 2017, 2023; Science 2022). Research interests span bioengineering, cell/tissue engineering, and nanotechnology-driven diagnostics. Zhao's lab pioneers applications in neuroscience, cancer, and infectious diseases. Awards include the NIH Director's New Innovator Award (2018–2023) and MIT Translational Fellowship (2015–2016). Collaborations emphasize global technology democratization, with projects ranging from nanofabrication to computational analysis using deep learning. His lab's tools are widely adopted in neurobiology and pathology labs worldwide.

• Software Engineering
• Machine Learning Operations (MLOps)
• Cyber-Physical Systems
• +4 more

Prof. Dr. Klaus Schmid is a Professor in the Department of Software Systems Engineering at the University of Hildesheim, part of the Faculty of Mathematics, Natural Sciences, Economics, and Computer Science. His research focuses on Machine Learning Operations (MLOps), software product lines, adaptive systems, and variability modeling. He leads projects such as EXPLAIN and ReGaP, emphasizing explainable AI and industrial MLOps integration. His work addresses challenges in Cyber-Physical Production Systems (CPPS), including data management, model calibration, and domain knowledge integration. Key research interests include MLOps architecture design, variability modeling transformations (e.g., UVL to IVML), and incremental verification techniques for software product lines. He has published extensively in venues like IEEE ETFA, IEEE Software, and SPLC conferences. Notable achievements include a Best Paper Award for work on control patterns in self-adaptive systems. Collaborations with industry partners highlight his focus on bridging academic research and practical industrial applications. Prof. Schmid’s contributions extend to tool development, such as EASy-Producer for variability-aware software ecosystems, and frameworks for environment modeling in adaptive systems. His research addresses both foundational challenges (e.g., syntax-preserving slicing) and applied topics like MLOps platform comparisons and industrial case studies in Industry 4.0.

Hendro WicaksonoView profile

Professor

• Data-Driven Approaches
• Causal AI
• Explainable AI
• +5 more

Prof. Hendro Wicaksono is a Professor of Data-Driven Industrial Systems at the School of Business, Social & Decision Sciences, Constructor University Bremen gGmbH. His expertise lies in applying AI and data-driven methods to enhance decision-making in complex industrial systems. He holds a Dr.-Ing. from Karlsruhe Institute of Technology (Germany) and M.Sc./B.Sc. degrees from German and Indonesian institutions. Research Interests : Focuses on causal AI, explainable AI, digital twins, sustainable industrial systems, and smart cities. His work integrates machine learning with domain-specific challenges in supply chains and energy management. Projects : Led over 10 funded projects including Delfine (accelerating energy transition), Talenta (digital asset management), and xAgri (agri-food supply chain analytics). Collaborates with global partners like Stadtwerke Trier and JetBrains. Teaching : Courses include Data Management in Industry 4.0, Production Planning, and Smart Cities. Recently on sabbatical in Spring 2023. Students : Supervises 20+ PhD/Master students researching topics like causal ML in software projects, EV adoption modeling, and blockchain logistics. Affiliations : Visiting Professor at University of Exeter, Adjunct Professor at Sebelas Maret/Airlangga Universities (Indonesia), and Academic Leader at Bandung Institute of Technology.

Mehdi SadiView profile

Assistant Professor

• Secure and Reliable System-on-Chip Design
• AI and Neuromorphic Hardware
• Safety-critical Hardware
• +2 more

Mehdi Sadi is an Assistant Professor of Electrical and Computer Engineering at Auburn University's College of Engineering. He holds a Ph.D. from the University of Florida, an M.S. from the University of California-Riverside, and a B.S. from Bangladesh University of Engineering and Technology. His research focuses on secure and reliable system-on-chip design, AI/ML-driven VLSI CAD/EDA, neuromorphic hardware, and emerging post-CMOS computing technologies. Notable achievements include earning the NSF CAREER Award for chiplet-based design optimization and a $175k NSF grant for magnetic RAM research. His work integrates machine learning with hardware co-design to enhance AI accelerators' performance, energy efficiency, and security. Recent projects include adversarial attack mitigation on AI hardware and reliability analysis of neuromorphic systems. Dr. Sadi's contributions span chiplet architecture, memory systems (e.g., STT-MRAM/SOT-MRAM), and fault-tolerant computing. He actively publishes on topics like skyrmion logic gates and TRNG implementations using MRAM. His work bridges theoretical machine learning advancements with practical hardware implementations, addressing critical challenges in next-generation computing systems.

Yanni PingView profile

Associate Professor

• E-commerce Analytics
• Machine Learning Applications in Business
• Operations Management
• +3 more

Dr. Yanni Ping is an Associate Professor in the Business Analytics & Information Systems Department at St. John's University's Peter J. Tobin College of Business. She holds a Ph.D. in Decision Sciences from Drexel University, an MS in Industrial Engineering from Georgia Tech, and a BS in Material Science and Engineering from Shanghai Jiao Tong University. Her research focuses on E-commerce analytics , leveraging machine learning, econometrics, and large language models to address service and operational challenges. Key themes include recommender systems, content creator performance, and KOL influence analysis. She also explores supply chain coordination mechanisms and disaster preparedness strategies. Teaching responsibilities include courses like Machine Learning for Business, Text Analytics, and Prescriptive Analytics. Dr. Ping currently serves as Associate Editor for Electronic Commerce Research and has published in journals such as Journal of Services Marketing and Electronic Commerce Research and Applications . Her work bridges marketing, operations, and data science with a focus on real-world business applications. Recent publications analyze user engagement in recommender systems, the impact of peer influence on video game adoption, and the moderating effects of pandemic attitudes on brand loyalty. Her research combines rigorous quantitative methods with practical industry insights. Dr. Ping's academic journey includes interdisciplinary collaborations across business analytics, operations management, and digital marketing. She actively contributes to global scholarly networks through conference presentations and editorial work.