Find Academic Supervisors

• Operations Research
• Artificial Intelligence
• Decision-Making
• +10 more

Duong Nguyen serves as an Assistant Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. His research integrates operations research, artificial intelligence, economics, and engineering to develop mathematical models for decision-making in large-scale networked systems including cloud/edge computing, smart grids, and crowdsourcing. He directs the NEMO research group focused on building intelligent multi-agent platforms through optimization and market design. His educational credentials include: Ph.D. in Electrical and Computer Engineering from the University of British Columbia (2020) M.Sc. in Telecommunications from INRS, University of Quebec (2014) B.Sc. in Electronic and Telecommunications from Hanoi University of Science and Technology (2011) Dr. Nguyen's research spans Operations Research, Artificial Intelligence, Decision-Making, Market Design, and Optimization with applications in edge computing, power systems, and network economics. His work emphasizes robust algorithms for uncertain environments and secure multi-agent platforms, recently expanding into quantum machine learning and privacy-preserving distributed systems. Current projects address decentralized federated learning, dynamic pricing, and EV charging network design. Analysis of his publication record reveals consistent focus on distributed optimization techniques for edge/cloud systems, with increasing integration of game theory and quantum computing. His work demonstrates strong methodological innovation in handling spatio-temporal uncertainty while addressing practical challenges in energy flexibility and secure genomic computation. His scientific recognition includes: Finalist for Best Student Paper Award at American Control Conference (ACC) 2024 Finalist for Best Paper Award at International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) 2023 Dr. Nguyen actively mentors Ph.D. students including Jiaming Cheng and Long Vu, with student-led research achieving significant recognition. His NEMO group collaborates with institutions including ETH Zurich on projects spanning autonomous driving, edge AI, and quantum optimization. Current research directions emphasize fair resource allocation, privacy-preserving learning, and dynamic pricing frameworks for next-generation networked systems.

Shuangshuang JinView profile

Associate Professor

• High-Performance Computing
• Parallel Computing
• Distributed Computing
• +6 more

Dr. Shuangshuang Jin is an Associate Professor in the School of Computing with a joint appointment in the Department of Electrical and Computer Engineering at Clemson University's College of Engineering, Computing and Applied Sciences. Previously, she served as a Senior Research Scientist at Pacific Northwest National Laboratory. Her educational background includes a Ph.D. in Computer Science (2007), M.S. in Computer Science (2003) from Washington State University, and a B.S. in Computer Science (2001) from Wuhan University. Ph.D., 2007 - Washington State University, Computer Science M.S., 2003 - Washington State University, Computer Science B.S., 2001 - Wuhan University, Computer Science Dr. Jin specializes in high-performance computing (HPC), distributed and parallel computing, general-purpose computation on graphical processing units (GPGPU), and HPC-based big data analysis, machine learning, scientific computation, and visualization. Her research focuses on applying these technologies to electrical engineering (power and energy systems, power electronics), automotive engineering, systems biology, and computer graphics. She leads the High-Performance Computing Enabled Science and Engineering (HPCeSE) Lab, where she supervises six PhD students working on HPC implementations for power system dynamic simulation, GridPACK application development, data-driven model-based smart control of power electronics converters, and other cutting-edge projects. Her recent publications demonstrate expertise in accelerating power system simulations, PV inverter reliability assessment, edge computing for power systems, and virtual prototyping of vehicle powertrain systems. The research trends show increasing focus on GPU acceleration, real-time simulation capabilities, and integration of HPC with emerging power system challenges. Junior Faculty Excellence in Teaching award (2021) Churchill Carter Fellowship (2022-2023) Zucker Graduate Education Center PhD Grant (2023) Doctoral Dissertation Completion Award (2023-2024) Outstanding Masters Student in Computer Science award (2022) Dr. Jin has successfully secured multiple grants from DOE, DOD, and other agencies for projects including 'Vehicle Propulsion Digital Twins', 'GridPACK-Wind', and 'Tool for Reliability Assessment of Critical Electronics in PV (TRACE-PV)'. She has advised numerous PhD and Master's students who have gone on to positions at national laboratories and industry. Her HPCeSE Lab maintains strong connections with Pacific Northwest National Laboratory, Fermi National Accelerator Laboratory, and other research institutions, providing students with valuable internship opportunities. Dr. Jin leads the High-Performance Computing Enabled Science and Engineering (HPCeSE) Lab at Clemson University, which focuses on developing optimized HPC-based parallel programming algorithms and architectures to solve complex scientific and engineering domain problems. The lab works on smart grid modeling and simulation, power electronics reliability assessment, ground vehicle systems prototyping, and advanced grid analytics, utilizing OpenMP, MPI, Pthreads, and CUDA/OpenCL on various computing platforms.

Christopher L. HillView profile

Professor

• Comparative Literature
• Intellectual History
• Transnational History
• +6 more

Christopher L. Hill is Professor of Modern Japanese Studies in the Department of Asian Languages and Cultures at the University of Michigan. His scholarly work bridges Japanese studies, comparative literature, and intellectual history with a focus on transnational literary and intellectual currents from the nineteenth century to the present. Research Interests: Hill's research centers on the global circulation of literary forms and intellectual concepts. He investigates how genres like the novel travel across borders and how concepts such as 'civilization' and 'culture' become universalized. His work spans Japanese, French, and American contexts while emphasizing intra-Asian connections among Japan, Korea, mainland China, and Taiwan. Hill is particularly fascinated by the 'flow of ideas and literary forms around the world in the modern age,' examining nationalist thought, Japanese intellectuals' views of Asia in the post-imperial postwar era, and the 'Bandung moment' of the 1950s-1960s when decolonizing countries sought to form political and cultural relations outside European and North American frameworks. Publication Trends: Hill's scholarship consistently explores transnational literary history, particularly the movement and transformation of naturalist fiction across global contexts. His work challenges conventional diffusion models by demonstrating the complex, multi-directional pathways through which literary forms travel and transform. Rather than focusing on origination and reception, Hill emphasizes the 'conditions of travel' that enable unexpected transformations of literary forms as they cross cultural boundaries. His recent work has increasingly focused on Japan's relationship with the Global South and anti-colonial movements. Current Projects: "Facing South: Japanese Writers in the Bandung Moment" - examining Japanese writers' responses to decolonization in Africa and Asia during the 1950s-1970s Research on Japanese writers' participation in the Afro-Asian Writers Association and literary conferences following the 1955 Bandung Conference Studies on the reception of Frantz Fanon in Japan during the 1960s Teaching: Hill teaches undergraduate courses on the modern Japanese novel, cultural history of postwar Japan, modernism, samurai representations, and contemporary Japanese social issues. His graduate seminars cover modern Japanese fiction, literature and social theory, cultural history, and the novel in global context. His courses frequently incorporate film, anime, visual art, and philosophy alongside literary texts.

• Simulation
• Computational Probability
• Queueing Theory
• +2 more

Peter W. Glynn is the Thomas Ford Professor in the Department of Management Science and Engineering (MS&E) at Stanford University's School of Engineering, and also holds a courtesy appointment in the Department of Electrical Engineering. Additionally, he serves as a Senior Fellow of the Hong Kong Institute for Advanced Study at City University of Hong Kong. His distinguished career spans over four decades, with significant contributions to the fields of simulation, computational probability, and stochastic modeling. Professor Glynn received his Ph.D. in Operations Research from Stanford University in 1982 and his B.S. with Honors in Mathematics from Carleton University in 1978. His academic journey began at the University of Wisconsin at Madison (1982-1987) before returning to Stanford, where he has held various leadership positions including Deputy Chair of MS&E (1999-2005), Director of Stanford's Institute for Computational and Mathematical Engineering (2006-2010), and Chair of MS&E (2011-2015). His research interests focus on simulation , computational probability , queueing theory , statistical inference for stochastic processes , and stochastic modeling . Professor Glynn's work has developed algorithms widely used across the field of Monte Carlo simulation, with applications in financial risk management, service systems engineering, logistics, and retail operations. His recent publications demonstrate continued innovation in areas such as numerical methods for stochastic systems, rare-event simulation, and analysis of queueing systems under various traffic conditions, showing a strong trajectory of advancing both theoretical foundations and practical applications. Professor Glynn's scholarly contributions have been recognized with numerous prestigious awards, including: Fellow of INFORMS (2007) Fellow of the Institute of Mathematical Statistics (1998) John von Neumann Theory Prize from INFORMS (2010) Member of the US National Academy of Engineering (2012) Lifetime Professional Achievement Award, INFORMS Simulation Society (2021) Philip McCord Morse Lecturer, INFORMS (2020) Throughout his career, Professor Glynn has mentored numerous doctoral students whose research has made significant contributions to operations research and related fields. His editorial service has been extensive, including founding Editor-in-Chief of Stochastic Systems and service on the editorial boards of leading journals in operations research, probability, and statistics. His professional service extends to numerous advisory boards and committees at national and international levels, reflecting his standing as a leader in his field.

• Telecommunications
• Communication Systems
• Satellite Communications
• +7 more

Roberto Garello is a Tenured Associate Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino . He specializes in Communication Systems , Satellite Networks , and Channel Coding , with a focus on 5G/6G Technologies and Non-Terrestrial Networks . His work aligns with the School of Master’s Programmes and Lifelong Learning . Research Interests: Satellite communications systems, Direct-to-Satellite IoT constellations, Mega-constellation services in space, and physical layer advancements for 5G/6G. Teaching: Offers courses like Information Theory for Data Science , Communication and Network Systems , and Space Exploration and Resources , while supervising Applied Signal Processing Laboratory . Projects: Leads initiatives such as DitDSSS (satellite localization), RESTART (future telecommunications), and TESL@ (ICT energy efficiency). Scientific Awards: Received Best Paper Awards at CTRQ 2010 and COCORA 2013. Students: Supervises PhD candidates including Alessandro Compagnoni, Agbotiname Lucky Imoize, and Riccardo Tuninato, focusing on topics like Wireless Communication, Machine Learning, and Non-Terrestrial Networks. Publications: His recent work explores OTFS vs. OFDM, spectrum sensing algorithms, MIMO with cylindrical arrays, and 5G NTN synchronization, reflecting trends in satellite IoT and machine learning integration.

• Biomaterials
• Biomechanics
• Bone Tissue Engineering
• +3 more

Amy Wagoner Johnson is a Professor in the Department of Biomedical and Translational Sciences at the Carle Illinois College of Medicine, University of Illinois Urbana-Champaign, with secondary appointments in Mechanical Science and Engineering. She leads the Applied Biomaterials and Biomechanics Lab (ABBL), conducting interdisciplinary research spanning bone tissue engineering, women's reproductive health, and coral reef restoration. Her educational background includes: Ph.D. in Materials Science from Brown University (2002) M.S. in Materials Science from Brown University (1998) B.S. in Materials Science and Engineering from The Ohio State University (1996) Professor Wagoner Johnson's research focuses on biomaterials and biomechanics, particularly: Developing multiscale bone scaffolds for trauma repair Investigating cervical biomechanics in pregnancy and preterm birth Creating coral settlement substrates for reef restoration Designing hydroxyapatite-based systems for stem cell delivery Her work integrates materials science, mechanical engineering, and clinical medicine to address critical challenges in tissue regeneration. Analysis of her recent publications reveals strong trends in translational biomaterials development, with increasing emphasis on women's health applications and marine ecosystem restoration. Her bone scaffold research has evolved toward multi-material systems with spatially graded architectures, while her reproductive health work increasingly employs advanced imaging techniques like second-harmonic generation microscopy. Her scientific honors include: Fellow of the American Institute for Medical and Biological Engineering (2021) Grainger College DEI Award (2022) Andersen Faculty Scholar (2020) Dean's Research Excellence Award (2018) As an educator, she has received multiple teaching awards including the Society of Women Engineers Outstanding Engineering Educator Award (2020) and multiple 'Teachers Ranked as Excellent' recognitions. She serves as MechSE Pre-Med Advisor and actively mentors undergraduate researchers, receiving the Campus Award for Guiding Undergraduate Research (2013). Her lab has secured significant funding for projects including NSF's 'Collaborative Research: ECO-CBET' and NIH-supported work on preterm birth mechanisms. The Applied Biomaterials and Biomechanics Lab maintains strong collaborations with veterinary medicine, surgery departments, and international partners including the NanoSciences Foundation in Grenoble, France. Current projects focus on developing tools to track inflammation in human tissue as Chan Zuckerberg Biohub Chicago Investigators.

• Transportation planning
• Dynamic traffic assignment
• Traffic estimation and prediction
• +5 more

Xuesong Zhou is a Professor of Transportation Systems at the School of Sustainable Engineering and the Built Environment , Arizona State University (ASU). He leads the ASU Transportation+AI Lab and develops open-source tools like DTALite, NEXTA, and OSM2GMNS with over 100,000 downloads. His research focuses on multimodal transportation planning , dynamic traffic assignment , and rail scheduling with methodological contributions to traffic flow theory and operations research . Dr. Zhou's research bridges transportation system operations , computer applications for ITS , and logistics optimization . His work on differentiable programming reformulations and state-space-time network modeling has advanced real-time traffic prediction and multi-echelon facility scheduling . Scientific awards include: 2022 Elsevier Multimodal Transportation Best Article Award 2018 Transportation Research Part C Best Associate Editor Award 2012 INFORMS Railway Applications Section Best Paper Award He has advised 9 PhD students and 6 postdoctoral researchers to completion, with mentees now at institutions like Georgia Institute of Technology and Michigan State University. Current projects include NSF CONNECT and DOE Argonne collaborations on multi-scale traffic simulation and smart campus cyberinfrastructure .

• Business Ethics
• Social Justice
• Social Entrepreneurship
• +5 more

Dr. Lumina Albert is an Associate Professor of Management at the College of Business, Colorado State University , where she serves as Executive Director of the CSU Center for Ethics and Human Rights . She holds a PhD in Business Management and dual specializations in Marketing and Human Resource Management from her MBA. Education : PhD in Business Management, MBA (Marketing & HRM) Research Interests focus on social justice , ethical behavior , and interpersonal relationships in business , with a particular emphasis on human trafficking , diversity and inclusion , and attachment theory in organizational contexts. Her recent work explores trauma-informed education strategies and ethical leadership , as seen in her 2025 article on attachment theory in leadership and 2024 studies on 'just' firms and stress in the workplace. Scientific Awards include: Fulbright-Nehru Senior Teaching and Research Fellow AAUW International Postdoctoral Fellowship Daniels Ethics Fellow College of Business Excellence in Teaching Award Best Teacher of Colorado State University Award CSU Multicultural Distinguished Service Award Advising and Grants include mentorship for the student-led The Justice Club , which addresses racial justice , human trafficking , and commercial sexual exploitation . She has secured grants for research on crowdfunding , social entrepreneurship , and employment relationships . Labs and Teams include organizing the Northern Colorado Human Trafficking Symposium and serving on the Board of Directors of New Horizons House , which focuses on holistic restoration for trafficking survivors.

• Biomedical Acoustics
• Acoustic Cavitation
• Therapeutic Ultrasound
• +6 more

Dr. Kenneth Bader is an Associate Professor in the Department of Radiology at the University of Chicago's Pritzker School of Medicine. He leads the Biomedical Acoustics Development and Engineering Research Laboratory (BADER Lab), focusing on translating therapeutic ultrasound into clinical applications for non-invasive treatment of cardiovascular and cancerous diseases. His work bridges physics, engineering, and medicine, with emphasis on developing innovative ultrasound-based therapies. Education: B.S. in Physics from Grand Valley State University (2005), Ph.D. in Physics from the University of Mississippi (2011) Current Funding: Principal Investigator on two major NIH R01 grants (R01EB035230 and R01HL133334) totaling nearly a decade of continuous research support Lab Affiliation: BADER Lab (baderlab.uchicago.edu) Dr. Bader's research centers on acoustic cavitation and histotripsy for combinatorial ablation and enhanced drug delivery strategies targeting pathologies resistant to standard interventions. He develops multi-modal imaging approaches combining diagnostic ultrasound and magnetic resonance imaging to assess bubble activity and resultant tissue changes. His work spans fundamental bubble dynamics modeling to translational applications in thrombosis and cancer treatment. Key areas include chronic thrombus ablation, histotripsy-enhanced drug delivery, sonochemical reactions for cancer therapy, and MR-guided transurethral prostate ablation. His publication record demonstrates consistent productivity with over 40 publications since 2012, showing an upward trajectory with 25 publications in the last five years (2020-2025). His work appears in high-impact journals including IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control; Physics in Medicine & Biology; and Journal of Ultrasound in Medicine. His research shows strong interdisciplinary collaboration across engineering, physics, radiology, and vascular medicine. Dr. Bader serves as Principal Investigator on two major NIH-funded projects: Imaging Feedback for Histotripsy Renal Tumor Ablation (2024-2028) and Treatment of chronic venous thrombosis with histotripsy and thrombolytics (2017-2028). These projects represent significant sustained funding for developing ultrasound-based therapies for cancer and vascular diseases. His work has generated substantial interest in the scientific community, with multiple publications receiving over 50 citations, particularly his foundational work on bubble dynamics in histotripsy. The BADER Lab represents a hub for ultrasound research at the University of Chicago, developing both theoretical models and practical applications of therapeutic ultrasound. The lab focuses on translating laboratory discoveries into clinical practice, with particular emphasis on making treatments more effective while minimizing invasiveness. Current work includes developing AI approaches for ultrasound image analysis, novel transducer designs, and combination therapies that leverage both mechanical and biochemical effects of ultrasound.

• Quantum Field Theory
• Particle Physics
• Chiral Perturbation Theory
• +4 more

Jiří Novotný is a Professor at the Faculty of Mathematics and Physics of Charles University in Prague, Czech Republic. He is affiliated with the Institute of Particle and Nuclear Physics , where his research focuses on theoretical particle physics, quantum field theory, and low-energy QCD phenomena. He is actively involved in teaching and research, with a strong publication record in high-impact journals. Research Interests Prof. Novotný's research spans a wide range of topics in theoretical physics, with a particular emphasis on: Quantum Field Theory : Anomalies, effective Lagrangians, and chiral perturbation theory. Low-Energy QCD : Chiral symmetry breaking, order parameters, and meson decays. Scattering Amplitudes : Soft theorems, celestial holography, and modern amplitude techniques. Effective Field Theories : Galileon theories, DBI actions, and their generalizations. Publications and Research Impact His recent work has significantly advanced the understanding of soft theorems in gauge and gravity theories, the structure of scattering amplitudes in chiral perturbation theory, and the application of celestial holography to flat-space physics. His publications often appear in top-tier journals such as Journal of High Energy Physics (JHEP) , Physical Review D , and Physical Review Letters . Teaching and Outreach Prof. Novotný teaches advanced courses in Quantum Field Theory I & II and Selected Parts of Quantum Field Theory . He is also involved in the Physics Olympiad to promote physics education among students.

Leonid IonovView profile

Professor

• Biofabrication
• 3D Printing
• Stimuli-Responsive Materials
• +4 more

Prof. Dr. Leonid Ionov is a leading academic at the Faculty of Engineering Science , University of Bayreuth, specializing in Biofabrication and 4D Printing . He has held professorial roles since 2017, with prior positions at the University of Georgia and TU Dresden. Research Priorities: Smart responsive polymers, 3D/4D bioprinting, self-healing electronics, and bioinspired surface engineering. Teaching: Offers advanced courses in 3D Printing of Polymers , Biofabrication , and Polymer Science . His work integrates stimuli-responsive materials with additive manufacturing to create bioinspired actuators, vascular scaffolds, and self-healing conductive systems. Recent articles focus on 4D-printed vascular junctions , multi-responsive cellulose composites , and dynamic bilayer morphing . Scientific Achievements Recipient of the 2022 North Bavaria Business Plan Competition award 2012 Georg Manecke Prize for biopolymer research Developed European patents for Li-S battery cathodes and microfluidic devices Trained over 20 PhD/postdoc alumni now at institutions like Iowa State University and Harvard Medical School . Leads a multidisciplinary lab with advanced equipment for polymer synthesis, electrospinning, and cell culture studies.

Jie ChenView profile

Assistant Professor

• Advanced Manufacturing
• Design Optimization
• Machine Learning
• +4 more

Jie Chen is an Assistant Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering. Their research bridges machine learning with engineering analysis and design under uncertainty, focusing on process-structure-property-performance relationships. PhD, Mechanical Engineering (2022) – Arizona State University MS, Civil Engineering (2018) – Beihang University BS, Civil Engineering (2015) – Beihang University Research interests include: physics-informed machine learning, uncertainty quantification, predictive maintenance, materials design, and advanced manufacturing. The SEAD Lab develops methods to integrate engineering analysis into stochastic machine learning algorithms and uses AI for knowledge discovery in uncertain environments. Recent publications emphasize: Digital twin frameworks combining machine learning and Bayesian optimization Graph neural networks for high-entropy alloy and molecular mixture property prediction Physics-guided neural networks for fatigue life analysis of additively manufactured alloys Uncertainty quantification in imbalanced regression tasks and multi-fidelity data fusion Real-time imaging of polymer deformation mechanisms The lab actively mentors students, including PhD candidate Yisheng Lu, and manages projects in predictive maintenance, fatigue modeling, and materials design.

Jessica HullmanView profile

Professor

• Artificial Intelligence
• Human-Computer Interaction
• Uncertainty Quantification
• +4 more

Jessica Hullman is the Ginni Rometty Professor of Computer Science at Northwestern University's McCormick School of Engineering and a Faculty Fellow at the Institute for Policy Research. Her research develops theoretical frameworks and interfaces for human-AI collaboration, focusing on uncertainty quantification, statistical modeling, and decision-making in domains like scientific research and AI-assisted analysis. Education: PhD in Information (Visualization), University of Michigan (2013) MS in Information Analysis, University of Michigan (2008) BA in Comparative Studies, Ohio State University (2003) Tableau Postdoctoral Fellowship, UC Berkeley (2015) Research Focus: Hullman's work bridges formal models of rational inference (e.g., Bayesian decision theory) with real-world applications. Key areas include: human-AI complementarity in decision-making, visualization of uncertainty, statistical reform, and LLM applications in behavioral science. Her research consistently addresses the alignment of data-driven interfaces with human cognitive capabilities. Publication Trends: Recent work demonstrates a strong emphasis on human-AI collaboration frameworks, decision-theoretic evaluation of visualizations, and methodological rigor in machine learning and social science. Key themes include uncertainty quantification (conformal prediction, privacy tradeoffs), behavioral experiments in AI-assisted tasks, and critical analyses of scientific practices. Awards & Honors: Microsoft Faculty Fellow (2019) Google Faculty Award NSF CAREER, Medium, and Small Awards Multiple best paper/honorable mention awards at top HCI/visualization venues (CHI, VIS) Funding & Labs: Principal Investigator for NSF-funded projects including HCC: Medium on visualization tools. Previously affiliated with University of Washington's Interactive Data Lab and DataLab. Current research includes NSF-supported work on improving data visualization for reasoning about analytical assumptions.

Sean WilsonView profile

Researcher

• Remotely-accessible robotic hardware
• Collaborative autonomy
• Swarm robotics
• +5 more

Sean Wilson is a Researcher at the Georgia Institute of Technology , affiliated with the College of Engineering and the School of Electrical and Computer Engineering . He serves as the Collaborative Autonomy Branch Chief at the Georgia Tech Research Institute (GTRI) and Director of the Robotarium Lab (https://www.robotarium.gatech.edu/), which provides free remote access to robotic hardware for algorithm testing. Educational Background: B.A. in Physics and Mathematics from State University of New York at Geneseo (2012) M.S. and Ph.D. in Mechanical Engineering from Arizona State University (2017) Dr. Wilson's research focuses on remotely-accessible robotic hardware , collaborative autonomy , and control of multi-agent and swarm robotic systems . His recent publications emphasize distributed control, swarm robotics, and bio-inspired robotic behaviors. The Robotarium Lab he directs enables global access to robotics testbeds for control research. Research Themes (2014-2023): Remote-access robotics (5), swarm coordination (7), bio-inspired algorithms (3), barrier functions (2), multi-robot systems (9), and control theory (4). Sean operates from the Robotarium Lab (Office Location: CCRF B11-3133D) as part of Georgia Tech's Institute for Robotics and Intelligent Machines (IRI) core faculty. His work bridges robotics infrastructure development with theoretical control research.

Steven Y. LiangView profile

Professor

• precision manufacturing
• additive manufacturing
• materials science
• +3 more

Steven Y. Liang , Regents' Professor at the Georgia Institute of Technology 's Woodruff School of Mechanical Engineering, focuses on precision manufacturing , additive manufacturing , and materials-driven process optimization . His research program bridges materials science and computational mechanics to develop predictive models for advanced manufacturing systems. Ph.D., University of California, Berkeley (1987) M.S., Michigan State University (1984) B.S., National Cheng-Kung University, Taiwan (1980) Dr. Liang's work emphasizes physics-based modeling of thermal-mechanical interactions in machining and additive manufacturing, particularly for Ti6Al4V and Inconel 718 alloys. Recent publications highlight tool wear prediction , laser-assisted micro-milling , and residual stress modeling using machine learning and analytical mechanics. His research has been recognized with the ASME Milton C. Shaw Manufacturing Research Medal (2016) , SME Gold Medal (2021) , and Outstanding Lifetime Service Award of NAMRI/SME (2021) , among others. Funded by federal agencies and aerospace/automotive industries, his work provides scientific foundations for process planning and optimization.