جستجوی استاد راهنمای دانشگاهی

• Astrophysics
• Cosmology
• Space Science

Federico Dogo serves as a Fixed term researcher at the Department of Physics, University of Trieste. He holds multiple institutional roles including membership on the Department's Board and participation in Boards of Studies for three academic programs: M203 - MEDICAL PHYSICS, SM20 - PHYSICS, and SM23 - PHYSICS. His research expertise spans Astrophysics, Cosmology and Space Science, with particular focus on space technology applications. Dr. Dogo's current work centers on antenna design for satellite systems, specifically developing compact antenna solutions for CubeSat platforms. He is actively engaged in the research project titled "Progettazione di un'antenna di tipo dual reflector, nello specifico un'Axially Displaced Axis (ADE) Antenna per applicazioni CubeSat" (Design of a dual reflector antenna, specifically an Axially Displaced Axis (ADE) Antenna for CubeSat applications), which was last updated on August 14, 2025 and remains active. Dr. Dogo contributes to the academic community through his teaching assignments and participation in curriculum development across multiple physics programs at the university.

Kayo Ideمشاهده پروفایل

دانشیار

• Data Assimilation
• Atmospheric Dynamics
• Oceanography
• +۳ مورد دیگر

Dr. Kayo Ide is an Associate Professor at the University of Maryland's Department of Atmospheric and Oceanic Science, within the College of Computer, Mathematical, and Natural Sciences. Her research focuses on dynamics of atmosphere and oceans, with expertise in data assimilation, scientific prediction, transport/mixing processes, and climate variability. She contributes to NOAA's operational systems and collaborates with teams like the UFS Coastal Applications Team. Her work emphasizes integrating advanced observational technologies (e.g., satellite data from CrIS, Aeolus) into numerical weather prediction and ocean modeling frameworks. Key projects include optimizing data assimilation algorithms, evaluating new sensor constellations (e.g., CubeSats), and improving forecast initialization techniques. Dr. Ide also develops software tools like the System for Analysis of Wind Collocations (SAWC) to intercompare multi-platform wind observations. Publications highlight innovations in satellite data utilization, ensemble-based methods, and the impact of novel observing systems on operational forecasting. Her research bridges computational methods, environmental science, and applied meteorology, addressing challenges in global climate monitoring and predictive modeling.

Luca Sterponeمشاهده پروفایل

استاد

• Reconfigurable computing
• Computer-aided design algorithms
• Fault tolerance and reliability
• +۷ مورد دیگر

Luca Sterpone is a Full Professor at the Department of Control and Computer Science (DAUIN), Politecnico di Torino. He serves as Head of the Control and Computer Engineering Department (2023-2027), coordinates the Aerospace and Safety Computing Lab, and is a member of the Academic Senate and Power Electronics Innovation Center (PEIC). His research spans reconfigurable computing, fault tolerance, and radiation effects analysis in electronic systems. Professor since 2021 Department Head (DAUIN) since 2023 Coordinates international collaborations with ESA, AMD Xilinx, NVIDIA, and Thales Alenia Space Develops radiation-hardened FPGA tools (SETA, VERI-Place, PyXEL) 2007 EDAA Outstanding Dissertation Award and 2005 IEEE Best Paper Award Research Focus : Designing radiation-tolerant systems for aerospace, including fault-tolerant AI accelerators, FPGA reliability, and software-based error mitigation. He investigates soft error propagation in nanoscale circuits and develops tools for radiation sensitivity analysis in VLSI. His work integrates hardware-software co-design for mission-critical applications. Awards : EDAA Outstanding Dissertation Award (2007) IEEE European Test Symposium Best Paper (2005) SMACD Best EDA Tool Award (2018) ARC Best Paper candidate (2018) Teaching : He leads courses in Reconfigurable Computing (PhD level), GPU Programming , and Operating Systems . He has formal responsibility for teaching roles across 9 bachelor's and 7 master's years, and mentors multiple PhD students. Collaborations : Coordinates with the European Space Agency (ESA), University of Bielefeld, Universidad de Sevilla, and industrial partners like AMD Xilinx, NVIDIA, and General Motors. He leads projects such as RESCHIP4EU, VEGAS, and TERRAC for radiation-hardened computing solutions.

O-Jong Kimمشاهده پروفایل

استادیار

• Nano-satellite development and operation
• Alternative positioning navigation and timing
• Indoor precise positioning
• +۵ مورد دیگر

O-Jong Kim is an Assistant Professor in the Department of Aerospace Engineering at Sejong University, specializing in satellite navigation systems and precise positioning technologies. His research bridges theoretical advancements with practical applications in aerospace engineering, particularly focusing on CubeSat development and GNSS technologies. His educational background includes: B.A. from Seoul National University (2011) M.A. from Seoul National University (2013) Ph.D. from Seoul National University (2018) Dr. Kim's research interests center on nano-satellite development and operation, alternative positioning navigation and timing systems, indoor precise positioning, and GNSS receiver technology. His work addresses critical challenges in navigation systems, particularly in urban and indoor environments where traditional GNSS signals face significant limitations due to signal obstructions and multipath effects. Analysis of his recent publications reveals a strong focus on practical navigation solutions, with particular emphasis on multipath mitigation techniques, CubeSat-based navigation systems, and alternative positioning approaches for emerging applications like Urban Air Mobility. His research demonstrates consistent progression from theoretical algorithms to field-tested implementations, with publications showing increasing citation impact. Dr. Kim has established productive research collaborations, particularly with Seoul National University colleagues, evidenced by his extensive co-authorship network. His research output shows steady growth, with significant publication activity in 2020, 2023, and 2024, indicating active research momentum and sustained scholarly productivity. His major achievements include the design, development, launch, and in-orbit operation of the SNUGLITE cubesat, and the development of single-transmitter-based positioning systems for alternative navigation and indoor navigation applications. These accomplishments demonstrate his ability to translate theoretical research into operational space systems.

Brock J. LaMeresمشاهده پروفایل

استاد

• Radiation Tolerant Computer Systems
• Reconfigurable Computing
• Engineering Education
• +۴ مورد دیگر

Brock J. LaMeres is a Professor and Director of the Montana Engineering Education Research Center (MEERC) at Montana State University. With joint appointments in Electrical & Computer Engineering and engineering education leadership, he has pioneered radiation-tolerant computer systems and reconfigurable computing technologies for space applications while reforming engineering pedagogy through innovative teaching methods. Ph.D., Electrical Engineering, University of Colorado-Boulder (2005) M.S., Electrical Engineering, University of Colorado-Colorado Springs (2001) B.S., Electrical Engineering, Montana State University (1998) His research interests span radiation-hardened computer architectures, space radiation effects on electronics, and engineering education reform. Notably, he developed the RadPC technology for NASA lunar missions and created the MEERC to align engineering graduates with workforce needs. His work integrates unconventional teaching tools like Minecraft for spatial skill development and created the STEM Storytellers program to enhance graduate students' communication skills. Key article trends demonstrate dual focus areas: (1) radiation-tolerant computing for space missions with subfields like FPGA-based design, memory protection algorithms, and AI processing in radiation environments, and (2) engineering education innovations including e-learning platforms, spatial reasoning training, and oral communication development. 2023: MSU VPR Meritorious Technology/Science Award 2022: NACOE Excellence in Outreach Award 2020: Fox Faculty Award for multidisciplinary excellence 2018: ASEE Distinguished Educator Award As director of MEERC, he has secured $20M+ in grants from NASA, NSF, and national labs. His lab has deployed multiple CubeSats to the International Space Station and developed 15+ U.S. patents in digital signal propagation and radiation-hardened computing. He mentors graduate students in both technical and educational research areas.

Elias Aboutaniosمشاهده پروفایل

استاد

• Signal and Image Processing
• Parameter Estimation
• Signal Detection
• +۱۳ مورد دیگر

Professor Elias Aboutanios is a distinguished academic at the University of New South Wales (UNSW), serving as Professor in the School of Electrical Engineering and Telecommunications. With a career spanning over two decades in academia and research, he has established himself as a leading expert in signal processing, radar systems, satellite technology, and NMR spectroscopy. Professor Aboutanios earned his BE in Electrical Engineering from UNSW in 1997 and completed his PhD from UTS in 2002, with research focused on frequency estimation for communications with low earth orbit satellites. Following his doctoral studies, he conducted postdoctoral research at the Institute for Digital Communications at the University of Edinburgh from 2003 to 2007, specializing in space-time adaptive processing for radar target detection. He joined UNSW as a senior lecturer in 2007, was promoted to associate professor in 2019, and achieved the rank of Professor in 2022. His research interests span a broad spectrum of signal processing domains including signal and image processing, parameter estimation, array signal processing, statistical signal processing, positioning and localization, radar and sonar signal processing, NMR signal processing, and space systems. Professor Aboutanios has developed significant expertise in nuclear magnetic resonance spectroscopy, global navigation satellite systems, radar target detection, biologically inspired signal processing, power systems and smart grids, and theoretical signal processing. His work bridges theoretical foundations with practical applications across multiple engineering disciplines. Professor Aboutanios's recent publications demonstrate a strong focus on integrated sensing and communication systems, radar technology, satellite applications, and advanced signal processing techniques. His research shows a clear trajectory toward dual-function radar-communication systems, massive MIMO architectures, CubeSat technology for air traffic monitoring, and innovative approaches to NMR spectroscopy. His work consistently addresses challenging problems in signal parameter estimation, adaptive processing, and system design across multiple application domains. Professor Aboutanios has made significant contributions to engineering education, having developed new courses in electrical engineering design and established the master's program in satellite systems engineering. His educational innovations focus on teaching signal processing through frequent and diverse design experiences, enhancing student learning outcomes in technical subjects. He has led significant space projects including UNSW's involvement in the European QB50 project and the UNSW-EC0 satellite mission, which successfully launched in 2017. As a member of the Space Industry Association of Australia's Legislation Working Group, he has contributed to shaping space policy through multiple submissions to the Australian Government's review of the Space Activities Act.

Milica Orlandicمشاهده پروفایل

دانشیار

• Hyperspectral Imaging
• Remote Sensing
• Digital Design
• +۷ مورد دیگر

Milica Orlandic is an Associate Professor in the Department of Electronic Systems at NTNU. She holds an MSc from the University of Montenegro (2009) and a PhD from NTNU (2015). Her research focuses on hyperspectral imaging, remote sensing, FPGA-based systems, and embedded computing for aerospace applications. She is actively involved in the HYPSO CubeSat mission, developing onboard processing systems for Earth observation. Education: MSc in Electrical Engineering, University of Montenegro (2009) PhD in Electronics, NTNU (2015) Research Interests: Her work spans hyperspectral data processing , including compression, anomaly detection, and onboard computing for satellites. She also explores reconfigurable hardware (FPGAs) for real-time signal processing, cyber-physical systems, and spaceborne sensor systems. Publications Trends: Recent work emphasizes lightweight machine learning for anomaly detection, FPGA acceleration of hyperspectral compression (CCSDS 123), and algorithm co-design for CubeSat missions. Key contributions include robust onboard processing frameworks for HYPSO-1 and adaptive hardware-software systems. Advising & Teams: She supervises a dynamic team of over 40 PhD and MSc students working on FPGA implementations, satellite systems, and hyperspectral algorithms. Notable collaborations include the HYPSO CubeSat project, which aims to deliver high-resolution Earth observation data with low latency. Labs & Infrastructure: Her research leverages NTNU’s facilities for embedded systems prototyping, FPGA development, and CubeSat payload testing. The HYPSO mission integrates her team’s hardware-software co-design innovations for space applications.

• Computer Vision
• Autonomous Systems
• Robotics
• +۱۲ مورد دیگر

Dr Lounis Chermak is a Lecturer in Computer Vision and Autonomous Systems at the Centre for Electronic Warfare, Information and Cyber, part of Cranfield Defence and Security at Cranfield University, UK. He leads the Joint Autonomy Lab and is actively involved in research and education in autonomous systems with applications in defence and space. Research Interests: His work focuses on situational awareness in autonomous platforms, with core expertise in computer vision, sensor fusion, artificial intelligence, robotics, and navigation. He investigates perception, decision-making, and mobility across aerial, ground, maritime, and space systems, developing robust solutions for challenging environments including low visibility and extreme illumination. The recent publications reflect a strong trend in autonomous navigation, particularly for space and defence applications, using advanced computer vision techniques such as thermal stereo odometry, HDR imaging, stixel-based scene understanding, and lightweight 3D descriptors. Research also extends to cybersecurity of autonomous systems, including impersonation attack detection and optical countermeasures. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: Dr Chermak leads research activities supported by postdoctoral researchers, PhD, and MSc students. His work is funded and applied in collaboration with major clients including aerospace organizations (ESA, UK Space Agency, Thales Alenia Space), defence agencies (MoD, DSTL, BAE Systems, MBDA), and technology companies (Samsung, Astroscale). He supervises research students in robotics and autonomous systems across civilian and defence domains. Labs and Teams: He leads the Joint Autonomy Laboratory, a 200 m² indoor facility equipped with drone netting, motion capture systems, virtual reality test benches, UAV and ground robot fleets, electric vehicles, and multiple sensors for vision, ranging, and motion. This lab supports both educational and cutting-edge research in autonomous systems.

• Reliable and Fault-Tolerant Computing
• RISC-V Architecture
• FPGA-Based Systems
• +۱۲ مورد دیگر

Sarah Azimi is a fixed-term researcher at the Department of Control and Computer Science (DAUIN) within the College of Computer, Film and Mechatronics Engineering at Politecnico di Torino. She actively contributes to research and teaching in the domains of reliable computing, reconfigurable systems, and AI applications for space and smart city security. Research Interests: Reliability and fault tolerance in safety-critical and space systems RISC-V and FPGA-based architectures High-performance computing (HPC) and reconfigurable computing AI resilience and real-time gesture recognition for public safety Radiation effects and hardening techniques for aerospace applications Publication Trends: Her recent publications focus on RISC-V reliability, radiation effects in space missions, AI resilience in reconfigurable platforms, and smart city security through gesture recognition. Her work spans both journal and conference venues, emphasizing practical and mission-tailored solutions in embedded and aerospace computing. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Sarah Azimi supervises multiple PhD students including Federico Buccellato, Aobo Cui, and Giorgio Cora. She leads the competitive research project Safe Smart City: Detecting Violence and Requests for Help in Real Time Through Video Surveillance Devices (2024). She is also a member of the RAMSES CubeSat-1 Development project (2025–2026) and led the commercial research project on the Rempro fault-tolerant processor (2022–2023). Labs and Teams: She is a key member of the CAD - Electronic CAD & Reliability Group (DAUIN) at Politecnico di Torino, contributing to cutting-edge research in electronic design automation and system reliability for aerospace and terrestrial applications.

Kevin M Crosbyمشاهده پروفایل

استاد

• Space Science
• Microgravity Fluid Dynamics
• Propellant Gauging
• +۴ مورد دیگر

Dr. Kevin M. Crosby is a Professor of Physics, Astronomy, and Computer Science at Carthage College, where he also holds the Hedberg Distinguished Professor of Entrepreneurial Studies title. He serves as Director of the Wisconsin Space Grant Consortium and leads the Carthage Space Sciences program. Dr. Crosby has chaired both the Physics and Astronomy Department and the Computer Science Department, and previously served as Division Chair for Natural Sciences for 10 years and Dean of the Division of Natural and Social Sciences for one year. Dr. Crosby earned his position at Carthage College in 1998, coming from the University of Northern Colorado where he was a visiting assistant professor of physics. His academic journey has positioned him as a leader in space science education and research. Dr. Crosby's research focuses on space science and microgravity fluid dynamics, with particular expertise in propellant gauging technologies for spacecraft. His work bridges theoretical physics with practical space applications, emphasizing undergraduate research opportunities. He has developed innovative approaches to measuring liquid propellant in microgravity environments, which has significant implications for long-duration space missions and in-orbit refueling capabilities. His research program actively involves undergraduate students in meaningful space science projects. Analysis of Dr. Crosby's publication record reveals a strong focus on propellant management in microgravity environments, with particular emphasis on modal propellant gauging techniques. His research spans experimental work on parabolic flights, suborbital payloads, and CubeSat missions, demonstrating a commitment to hands-on space research with undergraduate students. Recent work shows increasing integration of AI and advanced sensor technologies into space applications. Hedberg Distinguished Professor of Entrepreneurial Studies Director of the NASA Wisconsin Space Grant Consortium Dr. Crosby actively mentors undergraduate students in space science research, with notable projects including suborbital payload experiments, parabolic flight experiments, and CubeSat development. His Carthage Space Sciences program has secured significant NASA funding through the Space Grant Consortium. Students like Celestine Ananda '20 have participated in high-profile research that has been featured in media outlets including Wisconsin Public Radio and the Milwaukee Independent. Dr. Crosby leads the Modal Propellant Gauging research team that collaborates with NASA Kennedy and Johnson Space Centers. His Carthage Space Sciences program functions as an active research hub where students participate in real NASA-related projects, including the Blue Origin New Shepard flights that have successfully demonstrated propellant gauging technologies in microgravity.

Malcolm Macdonaldمشاهده پروفایل

استاد

• Space Technology
• Astrodynamics
• Networked Systems
• +۳ مورد دیگر

Eur Ing Malcolm Macdonald is a Professor of Electronic and Electrical Engineering at the University of Strathclyde. He serves as Director of the Applied Space Technology Laboratory (ApSTL) and the Centre for Signal and Image Processing (CeSIP). Additionally, he holds Visiting Professor roles at University College Dublin's Centre for Space Research and is Vice-Chair of the UK Space Agency's Space Technology Advisory Committee. His expertise spans space mission design, networked systems, and sustainable space technologies, with a focus on democratizing space data accessibility. He contributed to Scotland's first CubeSat and led initiatives like the Scottish Centre of Excellence in Satellite Applications (SoXSA). Research interests include astrodynamics, swarm engineering, and Earth observation, leveraging systems engineering to address global challenges. Notable awards include the 2020 Copernicus Masters Transport Challenge and the 2024 CompleNet Best Poster Award. He advises on over 80 research projects, focusing on satellite constellations, offshore energy monitoring, and space debris mitigation. His work integrates multidisciplinary approaches, emphasizing resilience and innovation in space systems. Labs and teams include ApSTL and CeSIP, where he leads a team of researchers and postgraduate students. Equipment resources include specialized drones and control systems for experimental validation. Collaborations span academia, industry, and government, driving advancements in space technology and policy.

• Human-Computer Interaction
• Geographic Information Science
• Virtual Reality
• +۷ مورد دیگر

Johannes Schöning is a Professor of Human-Computer Interaction at the University of St. Gallen, where he leads a research group focused on developing novel user interfaces that empower individuals and communities with data-driven decision capabilities. His work bridges rapidly advancing technologies with human needs across diverse contexts including geographic information science, public health, medical applications, and extreme environments such as space missions. He publishes extensively at premier HCI venues including ACM CHI, MobileHCI, and DIS, as well as in interdisciplinary journals like NATURE and PLOS ONE. Professor Schöning's research interests center on understanding the interplay between technology and human activities through rigorous methods from AI, computer graphics, and cognitive psychology. His work emphasizes user-centered design methodologies and mixed methods approaches to create interfaces that fit both technological possibilities and human requirements. Key focus areas include virtual and augmented reality applications, accessibility solutions, navigation technologies, and the social implications of digital interfaces in everyday life. His research mission prioritizes theoretical and practice-based inquiry to develop disruptive solutions for real-world problems. Analysis of his recent publications reveals strong trends in virtual reality applications for emotional regulation and accessibility, with increasing emphasis on generative AI integration, environmental awareness, and space-related HCI challenges. His work consistently demonstrates interdisciplinary collaboration across computer science, psychology, geography, and medical fields, with publications showing growing interest in social implications of technology, particularly regarding navigation systems and their externalities. His scientific contributions have been recognized with numerous awards including: Best Presentation Award at IEEE VR 2023 Best Paper Award & Accessibility Award at Interact 2019 10 Year Impact Award 2021 Multiple Honorable Mention Awards at top conferences Professor Schöning actively mentors students across bachelor, master, and PhD levels, with his lab seeking candidates interested in the intersection of HCI, geoinformatics, and ubiquitous computing technologies. He emphasizes creating a 'detox-free academic environment' that focuses on meaningful teaching and research outcomes rather than academic pressures. His group frequently collaborates with international researchers and institutions on projects spanning medical applications, space exploration interfaces, and public health technologies. The research laboratory led by Professor Schöning maintains strong interdisciplinary connections across multiple domains. Current projects include developing AI-powered wearables for blind and low vision users, exploring VR applications for emotional regulation, investigating navigation technologies' social impacts, and creating interfaces for space mission contexts. The lab's work on CubeSat control software and plant visualization for space greenhouses demonstrates their unique focus on extreme environment applications, while their research on citizen participation through generative AI shows engagement with contemporary societal challenges.

Semih Doğuمشاهده پروفایل

استادیار

• Electromagnetic Theory
• Microwave Imaging
• Inverse Scattering Problems
• +۳ مورد دیگر

Semih Doğu is an Assistant Professor at the Department of Electronics and Communication Engineering , Faculty of Electrical and Electronics Engineering , Istanbul Technical University . His research focuses on Electromagnetic Theory , Microwave Imaging , Inverse Scattering Problems , and Antenna Design . Doctorate: Istanbul Technical University (2023) Master's: Istanbul Technical University (2017) Bachelor's: Yıldız Technical University (2015) His research interests emphasize microwave-based diagnostics, including: Microwave imaging for breast cancer detection Antenna optimization for medical and security applications Inverse problem solving in electromagnetic systems Through-the-wall imaging for surveillance Semih Doğu's recent publications demonstrate his expertise in: Neural networks for temperature monitoring in hyperthermia Ku/Ka-band antenna designs for satellite systems Microwave salinity sensing Algorithm development for improved imaging accuracy He contributes to the ITU Electromagnetics Research Group , participating in projects like: Microwave Brain and Breast Imaging Device Development Compressed Sensing for Energy-Efficient Communication Microwave Tissue Analysis

Ross Horneمشاهده پروفایل

مدرس ارشد

• Security protocols
• Privacy-preserving technologies
• Concurrency theory
• +۷ مورد دیگر

Ross Horne is a Senior Lecturer in the Department of Computer & Information Sciences at the University of Strathclyde, Glasgow, United Kingdom. He is a member of the StrathCyber and Mathematically Structured Programming research groups. Education: PhD (University of Southampton, 2012), BA (Oxford University, 2005) Prior Appointments: Research Fellow at University of Luxembourg (2018-2023), Senior Research Fellow at Nanyang Technological University (2015-2018), Associate Professor at Kazakh-British Technical University (2012-2015) Research Interests: Dr. Horne's work focuses on security and privacy protocols for digital systems, particularly addressing threats in payment technologies, ePassports, and decentralized identity management (e.g., Solid protocol). His theoretical contributions bridge concurrency theory, proof theory, and logic through applications to security verification and process calculi. Developed formal models for unlinkability in EMV payment protocols Created intuitionistic logical frameworks for process equivalence Explored graphical proof systems beyond formulaic representations Investigated legal-compliant AI for space systems (CubeSat anomaly detection) Scientific Contributions: He has published extensively in top venues including ACM CCS, IEEE CSF, LICS, and CONCUR. His 2017 CONCUR best paper introduced intuitionistic characterizations of bisimilarity. Principal Investigator for EU COST Action on Distributed Knowledge Graphs Co-developed privacy models adopted in Luxembourg parliamentary responses Advising: Currently accepting PhD students with strong mathematical and computer science skills for research in security/privacy of emerging systems. Former student Semen Yurkov completed a thesis on privacy-preserving smart card payments. Interdisciplinary Work: Collaborates with space lawyers through the Interdisciplinary Master Program in Space Resources. Projects include AI for CubeSat reliability and legal-compliant software certification frameworks.

Mario Jolicoeurمشاهده پروفایل

استاد

• Biochemical Engineering
• Biomedical Engineering
• Metabolic Engineering
• +۳ مورد دیگر

Mario Jolicoeur is a Full Professor in the Department of Chemical Engineering at Polytechnique Montréal. His research focuses on metabolic engineering, biomedical applications, and bioreactor design. He is affiliated with Spheroid AI Inc. (Co-founder, Scientific Director), Viridios (Collaborating Researcher), and the Institute of Biomedical Engineering (Member). Education: B.Sc.A., M.Sc.A., Ph.D. (Polytechnique Montréal and Paul-Sabatier University, Toulouse), Visiting Engineer (MIT) Jolicoeur develops metabolic engineering tools for cancer therapies and therapeutic agent production, designs mathematical models for cellular metabolism regulation, and creates aseptic culture equipment for diverse cells. His work spans CHO cells , microalgae , and tissue engineering . Recent publications highlight metabolic therapies for ovarian cancer, dynamic modeling of CHO cultures, and lipid production in Chlorella. Trends include cancer metabolism, mitochondrial dynamics, and bioreactor optimization. Supervision: He has mentored 43 graduate students since 1990, including those working on metabolic models, bioreactors, and biotherapies. Notable projects involve methylene blue in cancer treatment, ABE fermentation, and chondrocyte culture systems. Labs & Teams: Collaborates with interdisciplinary groups in biomedical engineering and chemical engineering, utilizing advanced bioreactor platforms and computational models.