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Ben MillsView profile

Research Fellow

• Laser Technology
• Deep Learning
• Photonics
• +3 more

Dr. Ben Mills is a Principal Research Fellow at the University of Southampton. His research focuses on the integration of deep learning with laser technologies, including applications in environmental monitoring, materials science, and biomedical imaging. He is a core member of the Smart Lasers and Special Fibres research group and leads projects such as Hearing Light and Lasers that Learn , funded by the EPSRC. His work spans laser beam shaping, material transfer, and diagnostic techniques using AI-driven photonics. Research Interests: Laser-material interactions Deep learning for optical systems Environmental sensing via lasers Biophotonics applications Additive/subtractive manufacturing Publications (2023–2025) highlight innovations in laser cleaning, beam optimization, and pollen imaging using low-cost hardware. His work bridges fundamental optics with applied machine learning solutions. External Contributions: Speaker at international conferences on AI in photonics (2019–2021) Keynote on predictive laser materials processing (2019) Presenter at invited sessions on particle sensing via deep learning (2020) Current Supervision: PhD students Luke Burke (Physics), Fedor Chernikov (ORC), and Yuchen Liu (ORC) work on laser beam control and environmental applications.

• Microelectronics
• Biomedical Engineering
• Neural Prosthetics
• +3 more

Matthias Kuhl is a Professor at the Institute of Microsystems Technology (IMTEK) at the University of Freiburg since April 2022. He leads research projects focused on neural probes, biomedical implants, and integrated microelectronic systems. His work includes developing low-power neural interfaces, stress sensors, and energy-efficient circuits for medical applications. Research Interests Neural probes with electronic depth control Implantable biomedical devices CMOS integrated sensors and actuators Energy harvesting for autonomous systems Microfabrication and 3D-printed electronics Key Projects Advanced EDC: Intracortical neural probes with electronic depth control ComBiNE: Bidirectional neural exchange components SEAM-WiT: Implantable neural probe transceivers Multi-material 3D-printed electronics His recent publications emphasize low-power neural front-ends, stress sensor integration, and biomedical system design. He advises numerous graduate students on topics ranging from CMOS circuit design to biohybrid systems. Labs & Teams He leads the Professur für Mikroelektronik lab, specializing in microelectronic systems for biomedical and industrial applications. Collaborates with orthodontic, neurobiology, and materials science groups.

• Terahertz Microsystems
• RF/Microwave MEMS
• Sub-THz Radar Concepts
• +3 more

Joachim Oberhammer is a Professor in Microwave and THz Microsystems at KTH Royal Institute of Technology in Stockholm, Sweden. He leads research in radio-frequency/microwave/terahertz micro-electromechanical systems (MEMS) and has held academic roles since 2005. His work includes pioneering advancements in THz communication, sub-THz radar concepts, and MEMS-based components. Oberhammer has been awarded the 2023 Young Engineer Award by the European Microwave Association and holds multiple grants, including an ERC Consolidator Grant (2013) and SSF framework grants (2014–2025). He has authored over 200 peer-reviewed publications and holds four patents in MEMS and THz technology. Education: M.Sc. in Electrical Engineering (Graz University of Technology, 2000), Ph.D. in Microwave Engineering (KTH, 2004). Postdoctoral research at Nanyang Technological University (2004) and Kyoto University (2008). Guest professorships at Universidad Carlos III de Madrid (2019–2020) and NASA-JPL (2014). Research focuses on MEMS fabrication, THz systems integration, and radar technologies. Key projects include the EU-funded M3TERA and Car2TERA projects, and leadership in SSF framework grants for electronics research. He coordinates the EU RIA projects TeraMeasure and TESLA, advancing terahertz applications. Teaching responsibilities include MSc and PhD courses in MEMS engineering, radar systems, and integrated circuits. His lab develops high-performance THz components, including waveguide switches, antennas, and filters, with applications in communication, sensing, and aerospace.

Karen HampsonView profile

Senior Lecturer

• Adaptive Optics
• Vision Science
• Retinal Imaging
• +3 more

Karen Hampson is a Senior Lecturer in Optometry at the University of Manchester, serving as the first-year Optics Theme Lead. Her research focuses on adaptive optics systems for vision science, particularly using retinal imaging technology for early diagnosis of neurodegenerative and psychiatric diseases. She is a member of the Consortium for Vision and Oculomics in Psychiatry and co-founder of the European Adaptive Optics Summer School. Education: MPhys (Swansea University, 2000), PhD in Physics (Imperial College London, 2004), Post-Graduate Certificate in Higher Education Practice, and SEDA Professional Development Award. She trained in Transactional Analysis Psychotherapy and mental health first aid. Research interests include adaptive optics applications across vision science, microscopy, and astronomy. She led an EPSRC-funded project on pre-symptomatic disease diagnosis via ocular biomarkers. Key roles include Chair of Optica’s Applications of Visual Science Technical Group (2021–2024) and Associate Editor for Frontiers in Ophthalmology. Teaching contributions include senior laboratory roles at Oxford’s Physics Department and tutorial leadership at Corpus Christie College. Her work aligns with UN SDG targets for health and innovation.

Robert J. MacfarlaneView profile

Professor

• Materials Science
• Nanotechnology
• Polymer Science
• +3 more

Robert J. Macfarlane is the R.P. Simmons Professor of Materials Science and Engineering at the Massachusetts Institute of Technology (MIT), affiliated with the Department of Materials Science and Engineering (DMSE) within the School of Engineering. His research focuses on designing hierarchically organized materials using concepts from supramolecular chemistry, polymer science, nanotechnology, and self-assembly. His lab develops scalable synthesis and processing methods for nanocomposites with applications in adhesives, sensors, electronics, and energy storage. Education: BA in Biochemistry, Willamette University, 2004 MS in Chemistry, Yale University, 2006 PhD in Chemistry, Northwestern University, 2013 His research interests span the creation of materials with controlled structural features across molecular to macroscopic scales, enabling insights into mechanical, optical, and thermal properties. His work bridges fundamental science and applied technologies, with a focus on nanocomposites and photonic crystals. Key honors include the NSF CAREER Award (2017) and the Unilever Young Investigator Award (2017). He leads the Macfarlane Lab at MIT, which integrates assembly, synthesis, and processing techniques to engineer advanced materials. His contributions have advanced fields like colloids, nanotechnology, and energy storage systems.

Ethan A. ScottView profile

Academic

• Micro- and nanoscale heat transfer
• Electro- and optothermal experimental techniques
• Microfabrication and MEMS
• +3 more

Ethan A. Scott is a Research Assistant Professor in the Department of Mechanical and Aerospace Engineering at the University of Virginia. He holds a B.S. (2015) and Ph.D. (2021) in Mechanical and Aerospace Engineering from UVA, followed by a postdoctoral research associate position at Sandia National Laboratories. His research focuses on experimental techniques for analyzing heat and energy transfer in extreme material conditions, including micro- and nanoscale phenomena. He serves as Deputy Director of the EXSiTE Lab led by Professor Patrick Hopkins. Education: B.S., Mechanical Engineering, University of Virginia (2015) Ph.D., Mechanical and Aerospace Engineering, University of Virginia (2021) Postdoctoral Research Associate, Sandia National Laboratories (2021–2023) Research Interests: Ethan explores advanced thermal transport phenomena using electro- and optothermal methods. Key areas include micro/nanoscale heat transfer, microfabrication, and infrared thermal detection. His work addresses challenges in material size extremes (e.g., nanoscale thin films) and environmental extremes (e.g., high-energy ion irradiation effects). Publications: His recent work emphasizes thermal conductivity manipulation through ion irradiation, optothermal sensor development, and novel material characterization. Themes include defect engineering in crystalline systems and optimizing thin-film thermometry for high sensitivity. Awards: Editor’s Pick, Applied Physics Letters (2021) Nuclear Regulatory Commission Fellowship (2017) Labs & Teams: Deputy Director of the EXSiTE Lab, focusing on experimental studies of thermal and mechanical properties of materials under extreme conditions.

• Quantum Optics
• Terahertz Technology
• Photonics
• +4 more

Lukas Seitner is a researcher at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology and the Department of Electrical Engineering. He operates within the Associate Professorship of Computational Photonics led by Prof. Christian Jirauschek, focusing on advanced modeling of quantum cascade devices and terahertz photonics systems. His research spans quantum cascade lasers (QCLs), terahertz frequency combs, optical solitons, and computational photonics. Seitner has developed sophisticated simulation frameworks including Maxwell-Bloch and density matrix approaches to study nonlinear dynamics in optoelectronic devices. Key contributions involve passive mode-locking mechanisms in THz QCLs, graphene-integrated saturable absorbers for pulse generation, and backscattering effects in ring-cavity soliton formation. His work bridges theoretical modeling with practical device engineering for next-generation terahertz sources. As an educator, Seitner serves as assistant lecturer for multiple courses including Computational Photonics Laboratory (5 PR), Partial Differential Equations for Electrical Engineering (4 VI), and Simulation of Quantum Devices (4 VI). He actively participates in doctoral candidate seminars and specialized courses on quantum engineering, demonstrating strong commitment to academic training in photonics and quantum device physics. His teaching integrates cutting-edge research concepts into practical computational exercises. Seitner maintains active collaboration within the EU Project QOMBS and contributes to TUM's Computational Photonics group research infrastructure. His technical expertise encompasses numerical methods for partial differential equations, semiconductor device simulation, and nonlinear optical modeling. Current projects focus on optimizing THz comb sources for spectroscopic applications and extending quantum walk models for novel frequency comb generation mechanisms.

• Space Systems
• Micro/Nano-satellites
• Formation Flight
• +5 more

Shinichi NAKASUKA is a Professor at the Graduate School of Engineering, The University of Tokyo, specializing in Space Technology with primary focus on Spacecraft Systems development and space-based observation technologies. His research integrates Micro/Nano-satellites, Formation Flight, and Space Interferometry to advance autonomous space systems. Key contributions include development of densified pupil interferometry for infrared space telescopes, high-precision formation flight control for synthetic aperture systems, and adaptive optics applications in space environments. His work bridges spacecraft engineering with astronomical observation techniques, emphasizing practical implementation of novel space technologies through nano-satellite platforms. Professor NAKASUKA has secured continuous research funding through Japan's Grants-in-Aid program since 1995, with recent projects including: Performance verification of densified pupil interferometry on formation flight simulator Pyxis toward space infrared interferometers (2023-2026, Co-Investigator) Ground Demonstration Experiment of a Synthetic Aperture Telescope with High Precision Formation Flight and Adaptive Optics (2021-2023, Co-Investigator) Research on Practical On-Orbit Servicing Systems Using Nano-Satellite Technologies (2009-2011, Co-Investigator) Development and on-orbit operation of nano-satellite systems enabling rapid technology demonstration (2004-2006, Principal Investigator) Study on trial development of can-sized satellites through Japan-US collaboration (2002-2003, Principal Investigator) His leadership spans electric propulsion systems development, knowledge processing for space applications, and pioneering university nano-satellite programs. While specific student mentorship details are not provided, his extensive project portfolio indicates active supervision of graduate researchers in spacecraft systems engineering.

Jun YeView profile

Research Professor

• Atomic Physics
• Molecular Physics
• Optical Physics
• +4 more

Jun Ye is a Chinese-American physicist affiliated with JILA, the National Institute of Standards and Technology (NIST), and the University of Colorado Boulder. He holds the academic rank of Research Professor and has made groundbreaking contributions to atomic, molecular, and optical (AMO) physics, particularly in precision measurement and quantum control of atomic and molecular systems. Education: BS in Physics (Shanghai Jiao Tong University, 1989), MS in Quantum Optics (University of New Mexico, 1991), PhD in Physics (University of Colorado Boulder, 1997) under Nobel laureate John L. Hall. His research spans ultracold atoms, ultracold molecules, and laser-based precision measurement, including the development of the 3D quantum gas clock with 2.5 × 10⁻¹⁹ frequency precision. He explores applications in gravitational field sensing, dark matter detection, quantum simulations, and fundamental physics tests. Recent work includes thorium nuclear clocks, topological optical lattice clocks, and spin dynamics in ultracold polar molecules. Jun Ye's publications (e.g., 2025 articles) focus on atomic clocks, quantum sensing, and precision metrology, with keywords like quantum physics, atomic physics, and optical engineering. His subfields include frequency combs, spin squeezing, superexchange interactions, and many-body quantum systems. Scientific Awards: Department of Commerce Gold Medal (multiple years), Breakthrough Prize in Fundamental Physics (2022), National Academy of Sciences (2011), Norman F. Ramsey Prize (2019), and numerous fellowships. Patents: Four U.S. patents for frequency combs and laser technology. He leads research at JILA, collaborating with institutions like Caltech and MIT, and has been featured in documentaries such as The Most Unknown (2018). His work bridges experimental physics, quantum information science, and applied photonics.

• Automated Transportation Systems
• Connected Vehicles
• Electric Vehicles
• +3 more

Dr. Xiaopeng Li is the Harvey D. Spangler Professor in the Department of Civil and Environmental Engineering at the University of Wisconsin-Madison, with an affiliation in the Department of Electrical and Computer Engineering. He leads the USDOT Rural Autonomous Vehicle Program and previously directed the National Institute for Congestion Reduction. He earned his B.S. in Civil Engineering from Tsinghua University (2006), M.S. in Civil Engineering (2007), M.S. in Applied Mathematics (2010), and Ph.D. in Civil Engineering (2011) from the University of Illinois at Urbana-Champaign. His research focuses on modeling and field experiments for connected, electric, and automated vehicles (CAVs), infrastructure systems analysis, and interdependent network modeling. He has pioneered physics-enhanced machine learning frameworks for vehicle control and developed simulation tools for CAV deployment. His 2025-2024 publications highlight advancements in Connected vehicle trajectory modeling Energy consumption optimization Edge computing for autonomous operations Residual learning control systems Equity analysis in AV deployment Communication technologies for V2X Awards include: TRB Best Paper Award (2025) NSF CAREER (2015) ASCE Fellow (2024) IEEE Senior Member (2022) Multiple institution-specific fellowships He has advised 15+ graduate students, secured $35M+ in grants from NSF, USDOT, and industry partners, and chairs the IEEE ITSS Emerging Transportation Technology Testing committee. His work addresses real-world AV implementation, safety validation, and sustainable transportation systems.

• Quantum Engineering
• Quantum Optics
• Photonics
• +3 more

Rachel N Clark is a Lecturer in the School of Physics at the University of Bristol, actively contributing to the Quantum Engineering Technologies research group with a focus on quantum photonics and quantum light source development. Education: Master of Physics (MPhys) Master of Science (MSc) Doctor of Philosophy (PhD) Her research spans Quantum Engineering , Quantum Optics , and Photonics with concentrated expertise in solid-state quantum emitters—particularly aluminum nitride color centers—and single photon source engineering. Key investigations include evanescent-field photon collection enhancement, room-temperature quantum emitter characterization, and nanofabrication of quantum photonic devices for improved efficiency and integration. Analysis of her 13 publications (2022-2025) reveals dominant trends in aluminum nitride quantum emitter development, with 60% of works addressing room-temperature quantum light sources and photon collection efficiency. Her research bridges fundamental quantum optics with practical quantum technology applications, emphasizing scalable fabrication methods and metrology standards for quantum photonic systems. No scientific awards were documented in the provided materials. Information regarding graduate students, research grants, or specific laboratory teams beyond her Quantum Engineering Technologies affiliation was not indicated in the source texts.

Daniel FarinottiView profile

Professor

• Glaciology
• Glacier Evolution
• Water Resources
• +3 more

Daniel Farinotti is a Professor of Glaciology at the Department of Civil, Environmental and Geomatic Engineering at ETH Zurich and at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). His work focuses on understanding glacier evolution and its impacts on water resources across mountainous regions globally. Dr. Farinotti's research interests center on glaciological modeling and its applications to water resource management. His expertise includes estimating glacier ice thickness from surface properties, long-term modeling of glacier mass changes, quantifying runoff contributions from glaciated catchments, and implications for water management in high mountain areas. His research integrates field observations, remote sensing data, and numerical modeling to address critical questions about glacier response to climate change. Dr. Farinotti's scientific achievements have been recognized with prestigious awards including the 2017 Nature Research Award for Outstanding Achievements in Review and the 2013 Award for Outstanding Contributions to Review from the Journal of Geophysical Research - Earth Surface. His publications demonstrate a consistent pattern of high-impact research across glaciology, hydrology, and climate science, with particular emphasis on the interactions between glacier dynamics and water resources. As a principal investigator, Dr. Farinotti has secured significant research funding from organizations including the Swiss National Foundation and German Federal Foreign Office. His work often involves international collaborations across multiple institutions, reflecting the global nature of glacier research and its implications for water security. He maintains active involvement in major scientific initiatives focused on glacier monitoring and climate change impacts. Dr. Farinotti leads the Glaciology research group at ETH Zurich's Laboratory of Hydraulics, Hydrology and Glaciology (VAW), which conducts fieldwork across multiple mountain ranges globally. The group employs advanced techniques including geophysical surveys, remote sensing, and numerical modeling to investigate glacier dynamics and their hydrological impacts.

Timothy J. MuldoonView profile

Professor

• Biomedical Engineering
• Biophotonics
• Cancer Research
• +5 more

Timothy J. Muldoon is a Professor in the Department of Biomedical Engineering at the University of Arkansas, where he has been since 2012. He holds joint appointments in the (ENGR)-Engineering and (BMEG)-Biomedical Engineering programs. B.S. in Biomedical Engineering from Johns Hopkins University (2002) Ph.D. in Bioengineering from Rice University (2009) M.D. from Baylor College of Medicine (2010) Dr. Muldoon leads the Translational Biophotonics and Imaging Laboratory, focusing on multimodal microendoscopy , multiphoton imaging , and light sheet microscopy for cancer detection and treatment monitoring. His work bridges optical spectroscopy , nanotechnology , and microfluidics to develop novel diagnostic tools. Current research includes optical methods for assessing chemoradiotherapy response in colorectal cancer, metabolic imaging of tumor organoids , and point-of-care blood analysis systems . His publications (30+ peer-reviewed articles) and NIH-funded projects demonstrate clinical translation of optical biopsy technologies. National Institutes of Health Academic Research Enhancement Award (R15) - Cancer Imaging NIH Early Career Reviewer Program (2016) Burroughs Wellcome Collaborative Research Grant (2012) Dr. Muldoon teaches advanced courses in Biomedical Microscopy (BMEG 5504) and Biomedical Instrumentation (BMEG 2904), emphasizing optical techniques and physiological measurements . He has received multiple teaching and service awards at the University of Arkansas.

Michael ChomaView profile

Adjunct Associate Professor

• Digital Health
• AI and Computer Vision
• Medical Imaging
• +5 more

Dr. Michael Choma is an Adjunct Associate Professor in the Radiology & Biomedical Imaging department at Yale School of Medicine . He also serves as Vice President Clinical at LookDeep Health , a Bay-Area startup developing AI/computer vision technologies for inpatient telemedicine and patient monitoring. Dr. Choma holds a PhD (2004) and MD (2006) from Duke University , completed pediatric training at Boston Children’s Hospital , and pursued postdoctoral research at the Wellman Center for Photomedicine, Massachusetts General Hospital/Harvard Medical School . His research spans biomedical optics , medical imaging , and developmental biology , with a focus on optical coherence tomography (OCT) for studying pulmonary and cardiovascular physiology . He has developed OCT technologies to quantify cilia-driven fluid flow in respiratory systems, investigated embryo heart physiology , and designed novel light sources for speckle-free imaging. His work also bridges clinical medicine and engineering innovation , particularly in digital health and AI-driven diagnostics . Dr. Choma’s publications from 2015-2016 highlight trends in medical imaging , biophotonics , and computational diagnostics , with subfields including optical coherence tomography , fluid dynamics , and point-of-care testing . His scientific awards include the Numenta Startup Prize (2015) and Theodore von Kármán Fellowship (2014) . At Yale, Dr. Choma previously led an NIH-funded biophotonics laboratory and contributed to clinical radiology . He also served as an attending physician in the Yale-New Haven Primary Care Clinic . His interdisciplinary approach integrates medical practice , engineering , and data science , with recent interests in AI bias in medicine , digital pathology , and healthcare innovation .

• Magnetic resonance spectroscopic imaging
• Tumor micro-environment imaging
• Multinuclear MRI (¹H/²³Na)
• +4 more

Sandeep Kumar Mishra, PhD, is an Associate Research Scientist in the Department of Radiology & Biomedical Imaging at Yale School of Medicine, where he holds a primary appointment in the Magnetic Resonance Research Center within the Division of Bioimaging Sciences. He completed his doctoral training at Pondicherry University (2017) and finished post-doctoral research at Yale in 2024 before transitioning to his current research-intensive faculty role. Education: PhD, Pondicherry University – 2017 Post-doctoral Associate, Yale University – 2024 Research Focus: Mishra’s work integrates multinuclear magnetic resonance spectroscopy, responsive paramagnetic probes, and nano-constructs to quantify the tumor microenvironment. Major themes include in-vivo mapping of interstitial pH and sodium gradients in gliomas, development of Fe(II)/Co(II)/Ni(II)-DOTA tetraglycinate complexes for simultaneous pH–temperature sensing, and engineering dual-modal nano-agents that couple MR angiography with therapeutic delivery (chemo-photothermal, cryo-ablation, MMP inhibition). Publication Trends: Across 28 peer-reviewed articles (2016-2025) he demonstrates a sustained trajectory in cancer imaging, moving from theranostic nanoparticles toward sophisticated spectroscopic imaging of tumor acid–base and ionic homeostasis, with increasing translational orientation involving rodent glioma and hepatocellular carcinoma models. Collaborations & Affiliations: He is embedded in Yale’s inter-disciplinary MR research ecosystem, collaborating recurrently with faculty in Radiology, Biomedical Engineering, and the Magnetic Resonance Research Center (D. Coman, F. Hyder, P. Herman, J. Verhagen, J. Santana, A. Shewarega). Contact: sandeepkmishra11@gmail.com | Magnetic Resonance Research Center, 300 Cedar Street, New Haven, CT 06519, USA