جست‌وجوی استاد و پژوهشگر

Jorge L. Salazar-Cerrenoمشاهده پروفایل

دانشیار

• High-performance dual-polarized antenna elements
• Broadband array antennas
• EM modeling and material characterization
• +۱۱ مورد دیگر

Jorge L. Salazar-Cerreno is an Associate Professor at the School of Electrical and Computer Engineering , University of Oklahoma , and a key member of the Advanced Radar Research Center (ARRC) and PAARD . His work bridges antenna design , phased array radar systems , and atmospheric research . Education: Ph.D. in Electrical and Computer Engineering (2012), University of Massachusetts Amherst Research Interests focus on dual-polarized phased arrays, mmWave and sub-terahertz antennas, radome modeling, and UAV-based radar calibration. His innovations aim to enhance scanning performance, reduce costs, and improve weather observation accuracy in challenging terrains. Article Trends highlight advancements in UAV metrology , real-time calibration , and rapid-scan imaging radars , particularly for storm analysis and atmospheric sensing. Key themes include wideband antenna design , array diagnostics , and material characterization . Scientific Awards NCAR Advanced Study Program postdoctoral fellowship Grants include a $3.01 million NSF award (2023) for developing a C-band mobile polarimetric imaging radar to improve severe weather warnings. Labs & Teams : Leads the Radar Innovations Lab , contributing to next-generation weather radar systems like Horus and PAIR .

Ehsan Asadiمشاهده پروفایل

مدرس ارشد

• Control engineering
• Mechatronics
• Robotics
• +۴ مورد دیگر

Ehsan Asadi is a Senior Lecturer in the School of Engineering at RMIT University, Melbourne, Australia, specializing in Mechatronics. He joined RMIT University as a Senior Lecturer on February 2, 2020, and is actively involved in research and teaching in the fields of robotics, control engineering, and mechatronics. Dr. Asadi completed his PhD at Politecnico di Milano, Milan, Italy, from January 2010 to October 2013. He then worked as a Post Doctoral Research Fellow at Nanyang Technological University, Singapore, from September 2015 to April 2017. Between May 2017 and February 2020, he was also the Co-Founder and CTO of Transforma Robotics in Singapore. His research interests span control engineering, mechatronics, robotics, field robotics, automotive mechatronics, autonomous systems, and machine learning. Dr. Asadi's work aligns with UN Sustainable Development Goals, particularly Industry, Innovation and Infrastructure; Affordable and Clean Energy; and Sustainable Cities and Communities. His research has applications in various domains including construction waste management, solar photovoltaic inspection, polymer degradation monitoring, and autonomous navigation. Dr. Asadi has published extensively in top robotics and engineering journals with recent publications focusing on robotic hand-eye calibration, aerial imaging for solar panel inspection, hyperspectral characterization of polymer degradation, and intelligent control systems for ballbot robots. His publications demonstrate strong interdisciplinary connections between robotics, computer vision, and practical engineering applications. He is actively involved in academic service, serving on the IoT Alliance Australia Executive committee since October 2024, as an Editorial Board Member for the Journal of Robotics and Mechatronics since March 2024, and as an Associate Editor for IEEE Robotics and Automation Letters since October 2022. He is also a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Dr. Asadi is open to supervising Masters Research or PhD students and collaborating on industry projects, advisory committees, and web conferences as a panellist or speaker. His research lab, IA-Cobotics (https://www.ia-cobotics.com/), focuses on intelligent automation and collaborative robotics.

Sharon Claxton Bommerمشاهده پروفایل

دانشیار

• Human-systems integration
• Human performance
• Cognition
• +۳ مورد دیگر

Dr. Sharon Claxton Bommer is an Associate Professor in the Department of Engineering Management, Systems, and Technology at the University of Dayton's School of Engineering. She holds a full-time faculty position and specializes in human performance and cognitive systems within industrial and military operations. Her professional background includes 15+ years in automotive manufacturing (culminating as a Plant Manager) and prior academic leadership as Dean of the School of Business and Applied Technologies at Clark State College. Education: Ph.D. in Industrial and Human Systems Engineering, Wright State University M.S. in Industrial and Human Factors Engineering, Wright State University M.B.A. in International Business, University of Cincinnati B.S. in Mechanical Engineering, Tennessee State University Research Focus: Her work centers on human-systems integration, cognitive ergonomics, work design optimization, and human performance modeling. She investigates applications in manufacturing efficiency, military operations, and AI-enhanced industrial systems, emphasizing cognitive workload assessment and human-machine collaboration. Publication Trends: Recent articles (2012–2025) demonstrate evolving interests: early work addressed quality management and UAV supervision; mid-career research developed theoretical frameworks for mental workload; current projects focus on AI integration in additive manufacturing, gender-based cognitive studies, and advanced neuroergonomic assessments. Military and manufacturing applications remain consistent themes. Awards: Who’s Who in Aerospace and Defense (Dayton Business Journal, 2022) Research Leadership: She directs projects including: Warfighter Performance Faculty role at U.S. Army Aeromedical Research Laboratory (ORISE appointment, 2020–2025) Cognitive Workload Modeling for Human-Systems Integration (S.U.R.E. Program, 2024) AI in Industrial Systems (S.U.R.E. Program, 2019) Computational Human Factors for Additive Manufacturing (AFRL Fellowship, 2019)

• Robotics
• Space Robotics
• Collaborative Robotics
• +۱۰ مورد دیگر

Dr. Michelle Dunn is a Senior Lecturer in the School of Engineering at Swinburne University of Technology, where she leads research in robotics and signal processing. She serves as the academic lead for the Swinburne Rover Team and the lead of Space Robotics within the Swinburne Space Technology and Industry Institute. Her interdisciplinary work bridges engineering, space technology, industrial monitoring, and cultural heritage conservation. School: School of Engineering University: Swinburne University of Technology Academic Rank: Senior Lecturer Dr. Dunn's research is centered on robotics and signal processing, with key interests in Space Robotics, Collaborative Robotics, Lunar Dust Mitigation, and Assistive Technologies. She applies signal analysis techniques to diverse fields including steelmaking, where she uses acoustic and vibration signals to monitor processes, and art conservation, where she integrates spectroscopy and imaging to analyze paintings. Her work combines experimental modeling, sensor development, and data analytics to solve real-world engineering challenges. Her recent publications span robotics in agriculture, lunar dust mitigation, additive manufacturing defect detection, and acoustic monitoring in steelmaking. These works reflect a strong trend toward applying robotics and advanced signal processing to practical, interdisciplinary problems. She frequently collaborates with industry and government agencies, securing funding from the ARC and Department of Industry, Science and Resources. Scientific awards include: Vice-Chancellor's Teaching Excellence (Higher Education) Award (2018) Vice-Chancellor's Teaching Excellence (Higher Education) Award (2013) Dr. Dunn actively supervises PhD and Master’s students across diverse projects, including heat flow monitoring, assistive mobility devices, UAV-based parking systems, and EEG-based voice detection. She has been principal investigator on multiple ARC-funded grants, such as the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing and projects focused on sound and vibration monitoring in steelmaking. Her research contracts include development of portable parasite detection systems and cuffless blood pressure monitoring. She leads and contributes to laboratory-based research in the Swinburne Space Technology and Industry Institute, focusing on space robotics and lunar dust mitigation. Her team also operates experimental setups for acoustic and vibration monitoring in industrial models, supporting innovation in steelmaking and manufacturing.

William Regliمشاهده پروفایل

استاد

• Artificial Intelligence
• Robotics
• Computational Modeling
• +۹ مورد دیگر

William Regli is a Professor at the University of Maryland's Clark School of Engineering, holding appointments in Computer Science, Electrical and Computer Engineering, and the Institute for Systems Research. He also directs the Applied Research Laboratory for Intelligence and Security (ARLIS), overseeing over 75 researchers focused on defense and intelligence challenges. Regli's career spans academia, government leadership (including DARPA's Defense Sciences Office), and industry, with over 250 publications and five foundational U.S. patents in 3D CAD search. His research integrates AI, robotics, and computational modeling to address interdisciplinary problems in engineering, materials science, and national security. Education: Ph.D. and B.S. in Mathematics from the University of Maryland and Saint Joseph's University, respectively. He is a Fellow of AAAS and IEEE, recognized for contributions to 3D search and intelligent manufacturing. Research interests include AI agents, cyber-infrastructure for engineering data sustainability, advanced materials design, and robotic interoperability using category theory. His recent work emphasizes applying AI to national security, including trustworthy AI evaluation and social science integration. Awards include the DARPA Meritorious Public Service Medal (2018), AAAS Fellowship (2020), and IEEE Fellowship (2017). His articles reflect a focus on multi-agent systems, robotic task planning, and formal methods in autonomous systems. He advises multiple PhD students and has spun off two tech startups. Regli's laboratories include ARLIS, where he develops solutions for defense missions, and collaborates with the Maryland Robotics Center. His work bridges academia and government, emphasizing real-world impact through innovative computing research.

Zachary Trimbleمشاهده پروفایل

دانشیار

• Autonomous Systems
• Energy Harvesting
• Precision Engineering
• +۴ مورد دیگر

Zachary Trimble is an Associate Professor of Mechanical Engineering and Director of the RIP Lab at the University of Hawaii's College of Engineering. He holds a PhD from the Massachusetts Institute of Technology (2010). His research focuses on autonomous systems, energy harvesting, precision engineering, renewable energy, and industrial automation. Trimble leads the RIP Lab, which develops innovative solutions in robotics, energy systems, and advanced manufacturing. He has collaborated on projects ranging from CubeSat ADCS testing to magnetic compression medical devices and autonomous underwater vehicles. His research interests emphasize practical applications of mechanical engineering principles, including vibration energy harvesting systems, additive manufacturing processes, and multidisciplinary project integration. Trimble has presented at major conferences such as the AIAA/USU Small Satellites Conference and the American Geophysical Union Fall Meeting. Key contributions include the design of low-cost manufacturing tools, development of multifunctional nanocomposites via 3D printing, and experimental validation of energy harvesting models. He actively engages in educational initiatives like vertically integrated projects to bridge academic and real-world engineering challenges. Trimble’s work integrates mechanical design, materials science, and automation, addressing both technical and environmental challenges such as marine chemical plume tracking and pumped hydro reverse osmosis systems. His research has been published in journals like Journal of Thermoplastic Composite Materials and International Oil Spill Conference Proceedings.

Darren Hartlمشاهده پروفایل

دانشیار

• Constitutive behavior of active materials
• Computational solid mechanics
• Structural design and optimization methods
• +۳ مورد دیگر

Darren Hartl is an Associate Professor of Aerospace Engineering at Texas A&M University, affiliated with the College of Engineering and the Department of Aerospace Engineering. He holds a B.S. (2004) and Ph.D. (2009) in Aerospace Engineering from Texas A&M University. His research focuses on constitutive behavior of active materials, computational solid mechanics, structural optimization, and multifunctional aerospace structures, with particular emphasis on shape memory alloys (SMAs) and their applications in adaptive aerospace systems. Key research highlights include collaborations with NASA on lunar exploration technologies, such as solar reflectors for lunar craters and temperature-regulating space radiators. He leads the MAESTRO Lab, emphasizing innovation in morphing structures, structural health monitoring, and mission-adaptive systems. Notable achievements include winning the 2024 NASA Space to Pitch Competition with an undergraduate team and receiving the 2024 University Professorship for Undergraduate Teaching Excellence. Education : B.S., Aerospace Engineering, Texas A&M University (2004) Ph.D., Aerospace Engineering, Texas A&M University (2009) Awards : Gary Anderson Early Achievement Award (2016) Outstanding Young Aerospace Engineer Award (2015) Best Paper Awards (2013, 2008) His lab’s activities include monthly writing retreats, team-building events, and partnerships with industry and government agencies. Current projects span SMAs in golf clubs, lunar radiators, and adaptive aircraft components, reflecting a blend of fundamental research and applied innovation.

Zheng Hong Zhuمشاهده پروفایل

استاد

• Computational Solid Mechanics
• Dynamics and Control of Space Systems
• Tethered Spacecraft Systems
• +۱۵ مورد دیگر

Zheng Hong Zhu is a Full Professor in the Department of Physics and Astronomy at the Faculty of Science, York University. He is eligible to supervise graduate students in the Physics and Astronomy Graduate Program and is actively involved in interdisciplinary research spanning aerospace, defense, and advanced manufacturing technologies. His research interests focus on computational solid mechanics , dynamics and control of mechanical and space systems , and numerical methods with applications in aerospace and defense. Key areas include tethered spacecraft systems , electrodynamic tethers for space debris removal , aerial and underwater cable-towed systems , and autonomous space robotics for on-orbit servicing . He also investigates multifunctional composite materials and additive manufacturing (3D printing) in space , contributing to advancements in sustainable space exploration. His work integrates computational, theoretical, and experimental approaches and supports the United Nations Sustainable Development Goal of Industry, Innovation, and Infrastructure . While no specific publications or awards are listed in the current profile, his research portfolio indicates a strong focus on cutting-edge aerospace technologies and space system dynamics. Email: gzhu@yorku.ca Office: BRG 447B Phone: (416) 736-2100 ext. 77729 He is actively contributing to research and graduate education at York University with no indication of retirement or former status.

• 3D plate and shell models
• Additive manufacturing
• Composite structures
• +۹ مورد دیگر

Salvatore Brischetto is a Full Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at the Polytechnic University of Turin, Italy. He serves as Coordinator of the Academic Board for the Ph.D. program in Aerospace Engineering, is a member of the Interdepartmental Center Photonext on Applied Photonics, and is part of the Doctoral School Board. His academic career at Politecnico di Torino has spanned since 2005, progressing from research fellow to Assistant Professor (2010-2018), Associate Professor (2018-2022), and Full Professor (since 2022). Dr. Brischetto earned his Master's Degree in Aerospace Engineering at the Polytechnic University of Turin in 2005, followed by a PhD in Aerospace Engineering from the same institution and in Constituants Elementaires from Université Paris Ouest–Nanterre La Défense in 2009. His academic progression demonstrates steady advancement through the ranks, reflecting his significant contributions to the field. His primary research focuses on 3D and 2D analytical/numerical solutions for thermo-hygro-electro-magneto-elastic analyses of composite, sandwich and functionally graded material (FGM) plates and shells, as well as additive manufacturing applications for aerospace. His work addresses advanced structural modeling, multifield coupling phenomena, and the development of computational methods for complex material systems. He has made significant contributions to understanding the behavior of smart structures under various environmental and mechanical loads, with particular emphasis on the interplay between thermal, moisture, electrical, magnetic, and mechanical fields in advanced composite structures. Dr. Brischetto's publication record shows a consistent focus on multifield structural analysis, with recent work (2022-2025) concentrating on coupled phenomena in advanced materials. His research demonstrates a progression from fundamental structural mechanics to increasingly complex multifield problems, with growing emphasis on practical aerospace applications. The publications reveal strong collaboration with researchers like Domenico Cesare and Roberto Torre, focusing on numerical methods, shell modeling, and specialized analyses for composite and functionally graded materials. Dr. Brischetto serves as associate editor for 'Journal of Composites Science' and 'Curved and Layered Structures,' academic editor for 'Technologies' and 'Science and Engineering of Composite Materials,' and is on the editorial board of two additional international journals. He has served as a reviewer for over 100 international journals, demonstrating his standing in the academic community. He currently supervises PhD student Domenico Cesare (39th cycle, 2023-present) in Computational Solid Mechanics. Dr. Brischetto chairs several degree courses including '3D shell models for composite structures,' 'Aeronautical Constructions,' and 'Numerical modeling and simulation techniques of aerospace structures.' He has been actively involved in teaching across multiple academic years and will serve as Lecturer College Coordinator for the PhD course in Aerospace Engineering from 2024-2027. Dr. Brischetto is co-founder and co-chair of the research group 'ASTRA: Additive manufacturing for Systems and Structures in Aerospace,' which collaborates with various aeronautical/space companies and national and international universities. He is also the founder and chair of the 'PoliDrone' project, developing a multipurpose modular drone produced via 3D printing. His research group works on projects like FreME (Smart Electromechanically Actuated Multi-Disc Brake) and regional technology platforms, demonstrating strong industry connections and practical applications of his research.

• Precision Agriculture
• Pneumatic Actuators
• Fluid Automation
• +۸ مورد دیگر

Terenziano Raparelli serves as a Full Professor in the Department of Mechanical and Aerospace Engineering (DIMEAS) at Polytechnic University of Turin. He is a member of the Interdepartmental Center IAM@PoliTo - Integrated Additive Manufacturing and has chaired significant conferences including the 5th World Tribology Congress (2013) and 2000 AIMETA International Tribology Conference. His academic leadership spans over two decades as a consistent member of Mechanical Engineering PhD committees since the 2003/2004 academic year (19th cycle). Raparelli's research spans precision agriculture, pneumatic systems, and advanced manufacturing. His work integrates fluid dynamics with robotics for applications ranging from drone-based vineyard spraying to medical ventilators. Key focus areas include: Ultra-precision pneumostatic bearings for high-speed machinery (200,000 RPM) Soft robotics and gripper systems Sustainable design for environmental applications Medical device innovation (notably the DIVOC non-invasive ventilator) His recent publications demonstrate strong industry collaboration in agricultural technology and tribology. Notable awards include his longstanding fellowship with the Society of Tribologists and Lubrication Engineers (STLE) since 1998. His research portfolio shows consistent funding across national, regional, and corporate projects with over 20 major initiatives since 2006, including the DIVOC ventilator project during the pandemic and multiple patents in pneumatic systems. Raparelli actively supervises commercial research contracts focused on fluid power systems and industrial automation, maintaining strong industry-academia partnerships through projects like PIE_VERDE and HYSYVISION.

• Structural health monitoring
• Additive Manufacturing
• Laser cladding
• +۵ مورد دیگر

Michaël Hinderdael is a postdoctoral researcher in Applied Mechanics at Vrije Universiteit Brussel (VUB), specializing in the Acoustics & Vibrations Research Group. His research focuses on structural health monitoring and additive manufacturing technologies, with significant contributions to laser-based manufacturing processes and fatigue analysis of materials. Dr. Hinderdael's research interests span multiple domains within mechanical engineering and materials science: Structural health monitoring using acoustic wave techniques Additive manufacturing process optimization, particularly Directed Energy Deposition Laser cladding and its applications Residual stress analysis and mitigation in manufactured components Real-time process monitoring and control systems for manufacturing His recent publications demonstrate a strong focus on improving additive manufacturing processes through advanced monitoring and control techniques. The research shows progression from fundamental understanding of material behavior to practical implementation of real-time control systems, with particular emphasis on structural integrity assessment, process optimization, and quality assurance in advanced manufacturing environments. Dr. Hinderdael has received several notable awards for his research: Charles HIRSCH Award (2014) SMASIS 2015 Best Paper Competition Finalist and Best Student Paper (2015) Solvay Award (2019) Winner of the First Small Aircraft Design Competition (2014) Dr. Hinderdael has supervised at least one Master's thesis on structural health monitoring solutions for crack localization and has been involved in multiple research projects as both principal and co-investigator. His current research is supported by several active projects including FWOSBO62, FWOSBO66, and FWOTM941, with funding extending through 2029. He is actively involved with the Acoustics & Vibrations Research Group at VUB, focusing on developing innovative structural health monitoring strategies for additively manufactured parts. His work bridges fundamental research with practical applications in advanced manufacturing, particularly in functionally graded additive manufacturing and closed-loop process control systems.

Weibo Liuمشاهده پروفایل

مدرس

• Big Data Analysis
• Evolutionary Computation
• Particle Swarm Optimization
• +۷ مورد دیگر

Dr. Weibo Liu is a Lecturer in Computer Science at Brunel University London, affiliated with the College of Engineering, Design and Physical Sciences. His research focuses on big data analysis, evolutionary computation, machine learning, and deep learning techniques, with applications in healthcare data analysis, manufacturing, and image processing. He serves as an Associate Editor for the Journal of Ambient Intelligence and Humanized Computing and the Journal of Cognitive Computation . Weibo Liu earned a B.S. in Electrical Engineering from the University of Liverpool (UK) in 2015 and a Ph.D. in Artificial Intelligence from Brunel University London in 2020. He has contributed to over 54 publications, emphasizing domain adaptation, fault diagnosis, and optimization algorithms. His recent publications highlight advancements in machine learning and deep learning , particularly in domain adaptation , object detection , and industrial applications like additive manufacturing and battery health estimation. His work integrates evolutionary computation (e.g., particle swarm optimization) with neural networks for solving real-world problems in healthcare, robotics, and energy systems. Scientific Awards: Associate Fellow of the Higher Education Academy (AFHEA) He actively supervises PhD projects on Deep Learning-Based Defect Detection for Metal Additive Manufacturing and has participated in program committees, including the 2017 International Conference on Automation and Computing (ICAC). His co-authors include prominent researchers like Prof. Xiaohui Liu and Prof. Zidong Wang.

• Robotics
• Artificial Intelligence
• Digital Construction Technologies
• +۹ مورد دیگر

Dr. Vijay M. Pawar is a Lecturer in Digital Construction Technology at The Bartlett School of Sustainable Construction, University College London. His work bridges Robotics, Artificial Intelligence, and Digital Construction Technologies, focusing on sustainable solutions for infrastructure and construction. Role: Lecturer in Digital Construction Technology University: University College London School: The Bartlett School of Sustainable Construction Research spans Robotics , Artificial Intelligence , and Digital Construction Technologies , with applications in sustainable infrastructure , autonomous manufacturing , and nuclear decommissioning . Articles highlight advancements in aerial additive manufacturing , VR teleoperation interfaces , and AI-driven diagnostics . Publications in high-impact journals like Nature and Science Robotics demonstrate international recognition. Teaching includes modules such as: COMP0240: Aerial Robotics: Fundamentals to Practice in Real-World Environments BCPM0022: Managing Smart Infrastructure Technologies BSSC0016: Technology 1: Data and Digital Delivery

Jonathan Blackمشاهده پروفایل

استاد

• Space Systems Engineering
• Autonomous Vehicles
• Structural Dynamics
• +۵ مورد دیگر

Jonathan Black is a Professor in the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech. He serves as Director of the Aerospace and Ocean Systems Laboratory within the Ted and Karyn Hume Center for National Security and Technology, and Co-Director of the Center for Space Science and Engineering Research (Space@VT). Additionally, he holds the Northrop Grumman Senior Faculty Fellowship in C4ISR. His work bridges mission platforms and payloads across multiple research centers at Virginia Tech. Black's academic background includes a PhD from the University of Illinois at Urbana-Champaign. Prior to joining Virginia Tech, he was a faculty member at the Air Force Institute of Technology (AFIT), where he founded and directed the Center for Space Research and Assurance, overseeing a $2M annual research portfolio and leading five spaceflight experiments. His research focuses on autonomous systems, sensor data processing in low-SWAP environments, mission-driven payload control, and distributed resource management in space systems. Key areas include structural dynamics of deployable space structures, micro UAV development, and taskable satellite systems for defense, commercial, and scientific applications. Black's leadership roles include directing the Aerospace and Ocean Systems Laboratory and contributing to the Hume Center’s national security initiatives. His work emphasizes cross-disciplinary collaboration and real-world application of advanced technologies in space systems engineering.

Zimo Wangمشاهده پروفایل

استادیار

• Smart Manufacturing
• Advanced Manufacturing Processes
• Material Characterization
• +۵ مورد دیگر

Zimo Wang is an Assistant Professor at the School of Systems Science and Industrial Engineering, Binghamton University. He holds a PhD in Industrial Engineering from Texas A&M University (2020), an MS in Mechatronics Engineering, and a BS in Industrial Engineering, both from Harbin Institute of Technology, China. His research focuses on smart manufacturing, integrating sensors, AI, and data science to enhance manufacturing processes, including additive manufacturing, precision machining, and material characterization. He explores applications in autonomous systems, smart logistics via UAVs, and sustainable manufacturing. Education: PhD in Industrial Engineering, Texas A&M University (2020) MS in Mechatronics Engineering, Harbin Institute of Technology (China) BS in Industrial Engineering, Harbin Institute of Technology (China) Research Interests: Smart manufacturing and advanced manufacturing processes Machine learning and statistical modeling for process monitoring Acoustic emission (AE) sensing and material characterization Unmanned aerial vehicle (UAV) applications in smart logistics Sustainable manufacturing and quality assurance Recent work emphasizes real-time process diagnostics, nanomachining optimization, and resilient manufacturing systems. His articles highlight innovations in sensor-based approaches, such as Bayesian filtering for dynamic intermittency and vision-based UAV control for material handling. Awards and Recognition: NSF Travel Awards (2015, 2018) Best Student Paper Award, ISERC QCRE Division (2014) INFORMS Student Chapter Cum Laude Award (2017) Advising and Grants: While no students are listed here, his research has been supported by grants from NSF and industry collaborations. Notable contributions include developing autonomous laser kirigami systems and smart sensing frameworks for precision manufacturing. Labs and Teams: Active in Binghamton’s Systems Science and Industrial Engineering research groups, focusing on cyber-physical systems integration and sustainable manufacturing innovations.