Machine Learning in Semiconductor Manufacturing Professors and Supervisors

Enrique Daniel Gomezمشاهده پروفایل

استاد

Pennsylvania State UniversityUnited States

Enrique Daniel Gomez is a Professor in the Department of Chemical Engineering at The Pennsylvania State University, affiliated with the Materials Research Institute (MRI). With an impressive h-index of 45 and over 8,000 citations, he has established himself as a leading researcher in materials science and polymer engineering. His research spans multiple cutting-edge areas including block copolymers, conjugated polymers, organic solar cells, transmission electron microscopy, and cold sintering technology. The fingerprint analysis of his work reveals strong expertise in polymer science, particularly in Poly(3-hexylthiophene) (P3HT), conjugated polymers, and transmission electron microscopy of polymers. Recent publications demonstrate a clear trend toward advanced materials characterization, sustainable manufacturing processes, and energy applications. His work increasingly integrates computational methods with experimental approaches, as seen in studies combining molecular dynamics with experimental validation and applying computer vision to materials testing. h-index: 45 Total Citations: 8,096 Research Outputs: 197 Professor Gomez has secured significant funding as Principal Investigator or Co-PI on 11 major research projects, including multiple National Science Foundation grants. His leadership extends to directing the Center for Membrane Applications, Science and Technology (MAST) and leading research on cold sintering manufacturing and conjugated polymer properties. His work contributes to UN Sustainable Development Goals related to clean energy and sustainable materials. His laboratory focuses on advanced characterization of polymeric materials, membrane science and technology, and novel manufacturing techniques like cold sintering. The research group maintains strong collaborations across disciplines and with industry partners through the IUCRC program.

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Schekotihin Konstantinمشاهده پروفایل

دانشیار

University of KlagenfurtAustria

Konstantin Schekotihin is an Associate Professor at the Department of Artificial Intelligence and Cybersecurity, Alpen-Adria University of Klagenfurt. His research focuses on artificial intelligence, machine learning, and semantic technologies with applications in industrial systems and semiconductor manufacturing. Reinforcement learning for industrial scheduling Answer Set Programming (ASP) and stream reasoning Failure analysis automation and ontology engineering Neuro-symbolic AI integration Knowledge-based systems in manufacturing Recent publications emphasize AI-driven optimization in semiconductor production, decomposition strategies for scheduling problems, and multi-agent systems for workflow management. His work combines symbolic reasoning with machine learning to address complex industrial challenges. Contact: Konstantin.Schekotihin@aau.at

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Zhibin Yuمشاهده پروفایل

دانشیار

Florida State UniversityUnited States

Zhibin Yu is an Associate Professor in Industrial & Manufacturing Engineering and Materials Science & Engineering at the FAMU-FSU College of Engineering, Florida State University. His research centers on scalable manufacturing of electronic devices using printed and additive techniques, with applications in flexible optoelectronics and energy systems. His educational background includes: Ph.D. in Materials Science and Engineering from UCLA (2010) M.S. in Polymer Science and Engineering from Tsinghua University, China (2003) B.S. in Chemical Engineering from Tsinghua University, China (2001) Dr. Yu's work spans printed electronics , perovskite-based optoelectronics , and ultra-flexible/stretchable devices . His lab develops photodetectors, LEDs, and solar cells using conjugated polymers, solution-processable semiconductors, and composite materials. Key innovations include additive thin-film manufacturing and composites for electronics/optics , enabling breakthroughs in wearable sensors and radiation detection systems. Analysis of his 2023-2025 publications reveals dominant themes in perovskite-polymer composites for X-ray detectors and flexible displays, coupled with digital twin modeling for mechanical stability. His work bridges materials science and manufacturing engineering to solve scalability challenges in next-generation electronics. Dr. Yu actively mentors Ph.D. students, including graduates Tommy Geske and Xin (Minnie) Shan (2019), and current researchers Clark Li, Sue Mao, and Melissa Davis. His Yu Lab team focuses on translating fundamental materials research into manufacturable electronic systems. The Yu Lab pioneers scalable fabrication methods for optoelectronic devices, emphasizing perovskite composites and polymer-derived ceramics. Current projects target medical imaging sensors, wearable health monitors, and radiation-hardened electronics through advanced additive manufacturing and materials engineering.

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Nicholas Rolstonمشاهده پروفایل

استادیار

Arizona State UniversityUnited States

Nicholas Rolston is an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University and holds a joint faculty appointment at the National Renewable Energy Laboratory. He holds graduate faculty appointments in Materials Science, Chemical Engineering, and Physics, indicating interdisciplinary expertise. Ph.D. in Applied Physics (Stanford University, 2020) B.S. in Physics and Mathematics (University of Iowa, 2014) His research focuses on understanding mechanical and material properties of thin-film energy devices, developing scalable open-air deposition methods for perovskite photovoltaics and lithium batteries. Key areas include stress engineering, reliability characterization, and AI-driven optimization of energy systems. Recent publications demonstrate expertise in perovskite stability, ion migration control, and scalable fabrication techniques across journals like Advanced Energy Materials and ACS Applied Materials & Interfaces . Scientific Honors NSF CAREER Award (2024) Scialog Fellow: Sustainable Minerals, Metals and Materials (2024) Inorganics Young Investigator Award (2023) Ralph E. Powe Junior Faculty Award (2022) His group has produced award-winning students including SEMTE Outstanding Thesis recipients Kay Bakshi and Adianne Alamban. Research spans from atomic-scale characterization to meter-scale device manufacturing, emphasizing 'design for reliability' principles in renewable energy technology.

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Karim Tamssaouetمشاهده پروفایل

دانشیار

BI Norwegian Business SchoolNorway

Karim Tamssaouet is an Associate Professor at BI Norwegian Business School's Department of Accounting, Auditing and Business Economics. His academic trajectory includes positions as Assistant Professor at BI (2020-2024), Postdoctoral Researcher at École des Mines de Saint-Étienne (2019-2020), and R&D Engineer at STMicroelectronics (2016-2019). He holds a PhD from École des Mines de Saint-Étienne, with additional graduate degrees from Université Paris Dauphine and Ecole Nationale Polytechnique. His research specializes in optimization methodologies for industrial challenges, with core interests in: Scheduling algorithms for job-shop and flexible manufacturing systems Integrated inventory-transportation modeling Metaheuristic design (scatter search, neighborhood structures) Dynamic lot-sizing with logistics constraints Bayesian network learning for decision optimization Publication analysis reveals consistent focus on operational efficiency in manufacturing and supply chains, with recent expansions into machine learning applications for optimization. Methodological contributions include novel neighborhood frameworks for scheduling problems and multi-objective approaches for semiconductor production. He currently teaches Business Optimization and Supply Chain Analytics, bridging theoretical operations research with business applications. No research lab affiliations, scientific awards, or supervised students are documented.

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Bill Tumasمشاهده پروفایل

استاد پژوهشی

National Renewable Energy LaboratoryUnited States

Bill Tumas serves as Associate Lab Director for Materials/Chem Science & Technology at the National Renewable Energy Laboratory (NREL), where he provides overall leadership, management, technical direction, and workforce development for materials, chemical, and computational science capabilities. With over 30 years of experience in national laboratories and industry, Dr. Tumas joined NREL in December 2009 as director of the Chemical and Materials Science Center after spending 17 years at Los Alamos National Laboratory. Dr. Tumas earned his Bachelor's degree in Chemistry from Ithaca College and his PhD in Chemistry from Stanford University. His educational background in chemistry forms the foundation for his extensive work in renewable energy research and development. His research interests span a broad spectrum of renewable energy technologies, with particular focus on photovoltaics and solar energy conversion, electrochemistry, hydrogen production, materials discovery, and energy storage. Dr. Tumas oversees NREL's solar, hydrogen and fuel cells, basic energy sciences, advanced computing, and ARPA-E programs, driving innovation across multiple energy technology domains. Analysis of his 24 research publications from 2001-2024 reveals a consistent focus on advancing materials science for renewable energy applications, with recent work emphasizing photovoltaics scaling, carbon cycle management, renewable hydrogen, and high-throughput materials discovery. His publications appear in high-impact journals including Nature Reviews Chemistry, Science, and Nature Materials, demonstrating the significance of his contributions to the field. Fellow of the American Association for the Advancement of Science Leader of two Energy Frontier Research Centers: Center for Next Generation of Materials Design and Center for Inverse Design Significant research impact with multiple highly cited publications As NREL's laboratory point of contact for the Office of Science's Basic Energy Sciences program, Dr. Tumas manages critical sponsor relationships and program execution. His leadership extends to creating numerous multi-institution and international collaborations that advance renewable energy research globally. Dr. Tumas's work bridges fundamental science with practical applications, addressing some of the most pressing energy challenges of our time. He leads the Materials, Chemical, and Computational Science division at NREL, which serves as a hub for innovative research in renewable energy materials and technologies. Under his direction, the division pursues cutting-edge research that spans from basic science to applied technology development, creating pathways for commercial implementation of advanced energy solutions.

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Jeffrey Dellosaمشاهده پروفایل

استاد

The Hague University of Applied SciencesNetherlands

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.

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Thomas Sloanمشاهده پروفایل

دانشیار

University of Massachusetts LowellUnited States

Thomas Sloan serves as an Associate Professor in the Operations and Information Systems Department at the University of Massachusetts Lowell's Manning School of Business. He coordinates the M.S. Business Analytics program and teaches courses including Global Supply Chain Management and Introduction to Business Analytics. His research bridges operations management with sustainability challenges across multiple industries. Education: Ph.D. in Management Science, University of California Berkeley M.S. in Operations Research, University of California Berkeley B.B.A. in Operations Management, University of Texas at Austin Sloan's research integrates environmental considerations into traditional operations frameworks, with significant contributions to sustainable supply chains, medical device reprocessing, and green equipment maintenance. His work demonstrates consistent focus on balancing economic, environmental, and safety factors across diverse operational contexts. Recent publications examine pandemic-era supply chain disruptions and multi-criteria decision approaches for industrial solvent selection. Scientific Recognition: Teaching Excellence Award (2013) from UMass Lowell Operations and Information Systems Department Exceeding Excellence Teaching Award (2009) from UMass Lowell Student Government Association Sloan actively contributes to educational innovation through technology implementation projects including the UML Echo360 Lecture Program and ForClass Application pilot studies. His professional service spans university committees (NEASC Reaccreditation, Climate Action Plan), department leadership roles, and professional societies including INFORMS, POMS, DSI, and APICS where he serves as faculty advisor for the OIS Club. His research grants focus on enhancing student engagement in supply chain management education through digital tools.

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