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Lifu ChangView profile

Researcher

• Semiconductor Engineering
• Electronic Design Automation
• Design for Manufacturability
• +3 more

Lifu Chang is a Researcher at the University of Southern California (USC) Information Sciences Institute (ISI), serving as Director of The MOSIS Service. He leads semiconductor manufacturing and yield enablement initiatives, bridging research and industry collaborations with top foundries. Ph.D., Solid State Electronics, Purdue University (1996) 20+ years in semiconductor device/process technology, EDA, DFM, and design-yield optimization Pioneered DFM technology at Clear Shape Technologies; built DFM teams at SMIC and Qualcomm Developed industry-standard EDA tool flows for metal density gradients, via redundancy, OPC analysis Active in SPIE as committee member for Design and Process Technology Co-Optimization Program His research focuses on semiconductor design-process co-optimization, advanced lithography (EUV), and 3DIC processes. With nearly 50 publications and multiple patents, his work drives yield enhancement in nanoscale chip manufacturing. Recipient of AAAS Elected Membership Award (2001) Senior Member of IEEE

Azadeh DavoodiView profile

Professor

• Electronic Design Automation (EDA)
• Integrated Circuit Design
• Machine Learning in Hardware
• +5 more

Azadeh Davoodi is a Vilas Distinguished Achievement Professor and Associate Chair of Undergraduate Studies in the Department of Electrical and Computer Engineering at the University of Wisconsin-Madison. Her research focuses on Electronic Design Automation (EDA), integrated circuit debug, and machine learning applications in VLSI design. She holds editorial roles in journals like IEEE TCAD and ACM TRETS, and has chaired major conferences such as ISPD 2015 and served on technical program committees for DAC, ICCAD, and others. Education: PhD in Electrical Engineering, University of Maryland-College Park (2006) Research Interests: Machine learning for VLSI chip design VLSI design automation for machine learning IC-CAD for emerging nanotechnologies Hardware security Recent Research Trends: Her work bridges machine learning and hardware design, with publications on neural network optimization, distributed inference, and explainable AI for circuit design. She emphasizes energy-efficient CNNs, latency reduction in edge computing, and security in split manufacturing. Awards: 2025 DATE Best Paper Candidate 2024 Vilas Distinguished Achievement Professor 2015 ACM Best Paper Award 2011 NSF CAREER Award Service and Grants: Leads NSF-funded projects on explainable ML for CAD and holds grants for distributed neural network synthesis. Her service includes roles as IEEE HKN member and editorial board positions. Labs/Teams: Engages in interdisciplinary research teams at UW-Madison, focusing on EDA innovation and hardware-software co-design.

Dele OwodunniView profile

Senior Lecturer

• Design and Manufacturing
• Computer-aided Design (CAD)
• Aerospace Manufacturing
• +4 more

Dr. Dele Owodunni is a Senior Lecturer in Mechanical Engineering and Programme Leader of the MSc Mechanical Engineering at the University of Chester. He specializes in Design and Manufacturing, focusing on socially-responsible computerization of engineering processes based on law-like principles. His research includes developing taxonomies for design shapes and advancing sustainable manufacturing practices. Dr. Owodunni has secured over £100,000 in UK funding for research and enterprise activities. His work emphasizes improving design for manufacturing (DFM) in aerospace contexts, defect data management, and energy efficiency in machining. He has supervised PhD students and contributed to collaborative knowledge-sharing frameworks in manufacturing. His research interests span feature recognition in CAD/CAM, process optimization, and sustainability. Notable contributions include frameworks for micro-blogging in knowledge sharing and energy-efficient machining strategies. He actively engages in enterprise activities and has over 15 years of experience in UK academia and industry.

• Process Systems Engineering
• Mathematical Optimisation
• Sustainable Energy Systems
• +10 more

Dr Michael Short is an Associate Professor of Process Systems Engineering at the University of Surrey , affiliated with the School of Chemistry and Chemical Engineering and the Surrey Institute for Sustainability . His research focuses on mathematical optimisation tools for sustainable process design, bioenergy systems, renewable energy integration, and pandemic risk modelling. Current projects include AI-driven biogas production optimisation and carbon-negative chemical synthesis. EPSRC-funded £1.7M project on AI for biogas production Co-I in £5M Supergen Bioenergy Impact Hub Developed open-source DECO2 software for ASEAN decarbonisation His team applies mixed-integer nonlinear programming (MINLP) and machine learning to industrial challenges in pharmaceuticals, aquaculture, and microbreweries. Collaborations span Eli Lilly, Pfizer, and universities in Japan, Malaysia, and Brazil. Supervised projects address grid-scale energy storage, CO2 utilisation, and rural electrification. Scientific Awards : 2021 EPSRC Impact Acceleration Account Commercialisation Fellow Best Speaker Award at 2020 Sustainable Process Integration Lab Conference Editorial Board Member of Journal of Water Process Engineering Recent publications examine direct air capture integration, waste-to-energy brewing processes, and whole-system energy models. Supervises students in distributed energy systems, catalytic processes, and sustainable design.

• Big Data & AI
• Data Envelopment Analysis
• Data Mining
• +3 more

Ali Emrouznejad is a Professor and Chair in Business Analytics at Surrey Business School, University of Surrey. He leads the Centre for Business Analytics in Practice and directs the "Sustainability Analytics, Metrics, and NetZero" program. His research focuses on performance measurement, efficiency analysis, AI, and big data. He holds a PhD in Operational Research from Warwick Business School and has served as head of the Business Analytics Group at Aston University. His work includes pioneering contributions to Data Envelopment Analysis (DEA), with over 250 journal articles and multiple authored books. Emrouznejad has led major research projects funded by organizations including the UK Department for Education, WHO-Africa, and the Royal Academy of Engineering. He serves as editor of Annals of Operations Research and holds editorial roles in over 10 journals. His awards include recognition as a top 2% global scientist and fellowship from FIMA, Institute for Sustainability, and PAI. His recent work addresses renewable energy transitions, additive manufacturing cybersecurity, and NetZero strategies for OECD countries. Key Projects: Cost efficiency analysis in higher education (DfES-funded) Hospital efficiency in African healthcare systems (WHO-Africa) Manufacturing efficiency with CO2 emissions (Royal Academy) Sugarcane grower efficiency in Africa (British Council) Milk yield optimization in dairy supply chains (KTP-funded) Awards & Recognition: World Top 100 Business Scientists 2024 Stanford's Top 2% Global Scientists Fellow of FIMA, Institute for Sustainability, and PAI Labs/Teams: Leads the Surrey Business Analytics Research Group and coordinates international conferences like DEA45. Active in editorial boards of Springer's Business Analytics in Practice series and multiple journals.

William HowardView profile

Associate Professor

• Semiconductor Manufacturing
• Lithography
• Microfabrication
• +3 more

William Howard serves as an Associate Professor of Practice within the Department of Chemical Engineering at The University of Texas at Austin. His office is located in CPE 5.462 with contact details whoward@che.utexas.edu and 512-471-5773. His educational background includes a Ph.D. from MIT (1997) and a degree from United States Military Academy, West Point (1987). These qualifications underpin his interdisciplinary career bridging military, academic, and industrial domains. Professor Howard's research spans semiconductor manufacturing processes, lithography systems, micro/nanofabrication techniques, nuclear engineering applications, and healthcare utilization analysis. His semiconductor work focuses on design for manufacturing (DFM), reticle-wafer simulation, and mask defect disposition, while nuclear research examines neutron energy spectra. Medical contributions include inflammatory bowel disease healthcare utilization studies. Publication trends show concentrated semiconductor manufacturing research from 2001-2007 followed by healthcare systems analysis in 2014, demonstrating consistent application of engineering principles across industrial and medical contexts with strong industry collaboration evident in SPIE proceedings. His scientific recognition includes: Hertz Foundation Fellowship (1987) No information is provided regarding student advising, research grants, laboratory facilities, or research teams in the available documentation.

Ken ChoiView profile

Professor

• Ultra-Low-Power VLSI Design
• Nanometer Circuit Design
• Design Automation
• +3 more

Ken Choi is a Professor of Electrical and Computer Engineering at Illinois Institute of Technology's Armour College of Engineering. He joined Illinois Tech in 2007 after working as a senior CAD engineer and technical consultant at Samsung and Sequence Design. His research focuses on ultra-low-power VLSI design, nanoscale circuit optimization, and carbon nanotube FET applications. Education: Postdoctoral Research Associate at University of Tokyo (2005), Ph.D. in ECE from Georgia Tech (2003). Key research interests include Design for Power (DFP) and Design for Manufacturing (DFM) in VLSI systems, as well as low-power SOC design for multimedia applications. He has received multiple awards, including Best Paper Awards from the International Symposium on Wireless Sensor Networks and IEEE ISOCC conferences. His work spans topics like radiation-hardened latch designs, energy-efficient encoder architectures, and clock-gating techniques for ultra-low-power applications.

Majid RashidiView profile

Professor

• Machine System Design
• Gear Trains and Rotating Machinery
• Design For Manufacturing (DFM)
• +3 more

Majid Rashidi is a Professor in the Department of Mechanical and Aerospace Engineering at the Case School of Engineering, Case Western Reserve University. His expertise spans machine system design, gear train analysis, and biomedical device development with a focus on medical devices like pacemaker leads and orthopedic implant testing systems. Professional Engineer licensed in Ohio since 1997 Research Focus Rashidi specializes in: Optimization of mechanical components for manufacturability Design of medical devices for cardiovascular and electrophysiology applications Development of in vitro testing rigs for biomedical implants

Juha VarisView profile

Professor

• Design for Manufacturing
• Production Technology
• Mechanical Joining Methods
• +4 more

Juha Varis serves as Professor of Production Engineering and Vice Dean of the School of Energy Systems at LUT University, maintaining active roles since his professorship began in 1999 with continuous collaboration in the Finnish metal industry since 1988. He holds a Doctor of Technology degree and has built his academic foundation through extensive industry-engaged research. Professor Varis's research program centers on Design for Manufacturing (DFM), specializing in mechanical joining methods, sheet metal fabrication, machining technology, cardboard further processing, and innovative waste reuse systems. His work consistently emphasizes manufacturability optimization through DFMA (Design for Manufacturing and Assembling) principles to bridge product design and production efficiency. With over 300 evaluated master's theses and 11 doctoral supervisions completed, he demonstrates significant commitment to engineering education. His industry expertise is further leveraged through advisory roles for multiple companies and organizations, directly translating research into practical manufacturing solutions.

Jim PlusquellicView profile

Professor

• Hardware-Oriented Security and Trust
• Design for Manufacturability
• VLSI Testing
• +6 more

Jim Plusquellic is a Professor in the Department of Electrical and Computer Engineering at the University of New Mexico. He holds leadership roles including Director of the Integrated Circuit Hardware Analysis Laboratory (IC-HAL) and President/CEO of IC-Safety, LLC. His research focuses on hardware security, trust, and IoT systems, with contributions to PUF-based authentication and Trojan detection. He has authored/co-authored over 100 refereed publications and holds multiple patents. Plusquellic has been honored with awards such as the IEEE Computer Society's Outstanding Contribution Award and induction into the HOST Hall-of-Fame. Education: Ph.D., Computer Science, University of Pittsburgh, 1997 M.S., Computer Science, University of Pittsburgh, 1995 B.S., Biology, Indiana University of Pennsylvania, 1983 Research & Grants: Lead PI for the "Trusted and Assured Microelectronics Theme" under ASU's SWAP Hub ($2.5M, 2024-2028) NSF-funded projects on hardware security primitives and DFM (e.g., $300K for regional process variation analysis) Industry collaborations with Sandia National Labs, IBM, NASA, and commercial entities Key Contributions: Co-founder of the IEEE International Symposium on Hardware-Oriented Security and Trust (HOST) Developed PUF-based authentication protocols (e.g., PUF-Cash for digital currency) Authored book chapters on hardware security and Trojan detection Labs & Teams: Integrated Circuit Hardware Analysis Laboratory (IC-HAL) Collaboration with Enthentica Inc. and IC-Safety for hardware security commercialization

Fredrik SchultheissView profile

Senior Lecturer

• Machining
• Production Engineering
• Sustainable Manufacturing
• +7 more

Dr. Fredrik Schultheiss serves as Senior Lecturer at Lund University's Division of Production and Materials Engineering within the Faculty of Engineering. He concurrently holds leadership roles as Program Director for Mechanical Engineering, Senior Lecturer in the Sustainable Production Initiative (SPI), and key contributor to the Sentio research group focused on integrated sensors and adaptive technology for sustainable manufacturing systems. His educational foundation includes: Ph.D. in Production and Materials Engineering from Lund University (2013), specializing in machinability of ductile and strain-hardening materials Schultheiss' research program centers on high-performance material machining with rigorous evaluation of product quality, tool wear dynamics, and manufacturing cost optimization. His work bridges metallurgical science with sustainable production engineering, particularly in brass alloy development and composite material processing. This research directly supports UN Sustainable Development Goals through innovations in resource efficiency and environmental impact reduction, with established expertise in metal cutting, manufacturing systems, and sustainable production methodologies. Analysis of his 2019-2023 publications reveals dominant research trajectories in sustainable material reclamation (particularly brass recycling via hot forging) and advanced composite machining. His work demonstrates consistent focus on process parameter optimization, environmental impact assessment, and quality control systems development, with strong industrial applicability in manufacturing cost reduction and sustainable production. Professional recognition includes: Research Affiliate designation (2018) Schultheiss actively supervises graduate research (2 supervised works documented) and leads significant funded projects including Vinnova-supported initiatives. His project portfolio spans sustainable production systems, material reclamation technologies, and advanced machining methodologies, with demonstrated success in securing competitive research funding and translating academic research into industrial applications. He maintains active research group leadership within Lund University's Sustainable Production Initiative (SPI) and Sentio consortium, where his teams develop integrated sensor networks and adaptive manufacturing technologies. These collaborative environments foster cross-disciplinary innovation in sustainable production systems, with strong industry partnerships driving practical implementation of research outcomes in resource-efficient manufacturing.

Dennis MellView profile

Professor

• Robotics
• Automation Systems
• Mechatronics
• +5 more

Dennis Mell is a **Professor** in the Department of Electrical & Systems Engineering at Washington University in St. Louis, affiliated with the McKelvey School of Engineering. He joined as an adjunct professor in 2010 and transitioned to a full-time **Professor of Practice** role in 2012. He serves as Director of the Undergraduate Engineering Discovery Competition, fostering entrepreneurship in early-career engineers. **Education**: MS, University of Missouri-Rolla, 1989 BS, University of Missouri-Rolla, 1988 **Research Focus**: Mell’s work centers on **robotics, automation systems, and advanced sensing technologies**, with emphasis on cross-disciplinary applications in manufacturing and entrepreneurship. His expertise includes design for manufacturability (DFM) , robotic bin picking , and mechatronics . He advocates for integrated design practices (e.g., DFA, DFT) to bridge engineering and production. **Notable Projects**: His team contributed to emergency ventilator development during the 2020 pandemic, showcasing collaboration between engineers, doctors, and machinists. **Professional Background**: Before academia, Mell spent 25+ years as a serial entrepreneur, founding and leading automation-focused companies. His ventures emphasized custom robotic automation for industries like automotive and medical.

• Composite Structures
• Structural Optimization
• In-space Manufacturing
• +3 more

Avin Vijay is an Assistant Professor in the Department of Aeronautics & Astronautics at the University of Washington, Seattle. He leads the Group for Mechanics, Materials and Manufacturing of Structures (G3MS), focusing on structural mechanics and numerical tools for design for manufacturing (DfM) and additive manufacturing (DfAM) of composite and 3D-printed materials in aerospace systems. His research spans structural optimization, in-space manufacturing, and deployable space structures. Ph.D., Aerospace Engineering, University of Michigan (2021) M.S., Aerospace Engineering, University of Michigan (2014) M.S., Civil & Environmental Engineering, University of Michigan (2014) B.Tech, Civil Engineering, National Institute of Technology Karnataka (2012) His work addresses challenges in integrating material properties and manufacturing constraints for aerospace applications, including deployable structures and in-space assembly. He has received awards for research excellence and outreach, such as the ASME/Boeing Best Paper Award and the Michigan Aerospace Outreach Champion Award. Previously, he served as an Assistant Research Scientist (2023–2024) and Postdoctoral Research Fellow (2021–2023) at the University of Michigan, Ann Arbor.

John Temitope KolawoleView profile

Researcher

• Low-carbon construction materials
• Waste valorization in concrete matrices
• Self-sensing and self-healing materials
• +3 more

John Temitope Kolawole is a researcher specializing in 3D concrete printing and sustainable construction materials. His work focuses on low-carbon materials, waste valorization, self-healing concrete, and rheology-driven defect prevention. He has led £250K+ research projects and published over 40 papers in top journals. Current roles include PI of the EPSRC Doctoral Prize Fellowship on 3D printed concrete anisotropy and PDRA in EPSRC-funded projects like DfM:3DCP and 3DCP:HCP. Education: BSc (First Class Honours), MSc, and a TWAS-funded PhD investigating concrete rheology and cracking mechanisms. Professional involvement includes RILEM technical committees for construction standards. Awards include the EPSRC Doctoral Prize and NRF-TWAS Fellowships. His research integrates academic collaboration with industry impact through consultancy and knowledge transfer. Research trends show focus on additive manufacturing sustainability, interlayer bonding in 3DCP, and material optimization via rheology. Articles highlight innovations in waste integration (e.g., recycled plastics), standardized testing protocols, and defect assessment theories. He consults for concrete firms and organizes international conferences/workshops to advance industry standards. Grants include EPSRC Doctoral Prize Fellowship (PI) and PDRA roles in multimillion-pound projects. Advising activities include mentoring research students and supporting visiting scholars. Active in developing RILEM standards for 3D printed concrete mechanical properties and interlaboratory studies. Current lab work emphasizes hybrid manufacturing precision and environmental impact reduction.