Find Academic Supervisors

• Astrophysics
• Star Formation
• Planet Formation
• +3 more

Christopher Groppi is a Professor at Arizona State University's School of Earth and Space Exploration. He specializes in experimental astrophysics, focusing on star and planet formation, interstellar medium evolution, and terahertz receiver development. His research involves building advanced terahertz imaging arrays for ground-based and suborbital telescopes, with applications in astrophysics, remote sensing, and materials detection. Education: Ph.D. in Astronomy (with an ECE minor) from the University of Arizona (2003). Research Interests: Development of terahertz receiver systems for molecular cloud studies Multi-pixel imaging arrays for astrophysical spectroscopy Applications of terahertz technology to Earth science and security Key Projects: Terahertz Intensity Mapper (TIM) balloon mission GUSTO stratospheric observatory ASTHROS submillimeter-wavelength telescope CONCERTO wide-field spectroscopy instrument Instrumentation Contributions: 480 GHz metamaterial flat lenses Low-noise amplifiers for cryogenic systems Kinetic inductance detector (KID) arrays

Tariq Galadanchi AhmedView profile

Senior Lecturer

• Process Design and Optimisation
• CFD Modelling
• Hydrogen Fuel Technology
• +3 more

Dr Tariq Galadanchi Ahmed is a Senior Lecturer in Engineering at Teesside University's School of Computing Engineering and Digital Technologies. He holds CEng status with the Institute of Materials Minerals and Mining and is a member of the Energy Institute and Society of Petroleum Engineering. His research focuses on separator optimisation, CFD modelling, hydrogen fuel technology, and renewable energy systems. Education: PhD in Separator Optimisation (Teesside University, 2020) MSc in Petroleum Engineering (Teesside University, 2013) BEng (Hons) in Chemistry (Kano University of Science and Technology, 2010) Research Interests: Process Design and Optimisation CFD Modelling of Process Equipment Hydrogen Engines and Storage Materials Life Cycle Assessment Photocatalytic Hydrogen Production Grants & Projects: Principal Investigator: £18,638 DSIT grant for hydrogen transportation material compatibility Co-Investigator: £3.1M Innovate UK grant for net-zero concrete (Mevocrete) Contributor: EU Horizon £13M inteGRIDy project for smart grid solutions Collaborations: Partnerships with companies like Siemens, Lancaster University, and the Nigerian National Petroleum Commission. Active in African agriculture innovation through the AAKTP partnership.

Joshua SchrierView profile

Professor

• Physical Chemistry
• Computational Chemistry
• Machine Learning for Chemical Experiments
• +3 more

Joshua Schrier is the Kim B. and Stephen E. Bepler Chair and Professor of Chemistry at Fordham University. His research focuses on Physical Chemistry, Computational Chemistry, and Machine Learning for chemical experiments. He leads a lab in JMH 620 and maintains an office in JMH 616. His work emphasizes autonomous experimentation, AI-driven materials discovery, and open-source laboratory automation. Schrier’s research bridges theoretical and experimental approaches, leveraging machine learning to accelerate discovery in areas like perovskite nanocrystals, rare-earth separation, and self-assembling vesicles. His research interests include developing self-driving labs to reduce experimental bias, optimizing synthesis workflows with active learning, and enhancing reproducibility through data science. Key projects include the 'Dark Reactions' initiative, which uses failed experiments to train predictive models, and the 'Frugal Twin' concept for low-cost automation. Schrier collaborates on the Materials Acceleration Platform (MAP) for energy materials discovery. Publications highlight themes like machine learning for crystal polymorph prediction, AI-guided synthesis protocols, and automated pH estimation. While no scientific awards are listed, his contributions to lab automation and data-driven methodologies have advanced experimental chemistry practices. Advising and grants are not detailed here, but his lab engages in collaborative, interdisciplinary research with undergraduate and graduate students. His lab’s infrastructure includes custom-built robots like Sidekick (a 3D-printed liquid handler) and software frameworks like ESCALATE for experiment management. Current work explores AI’s role in hypothesis generation, sustainable materials development, and democratizing access to advanced experimental tools.

Hillary SmithView profile

Associate Professor

• Materials Physics
• Energy Storage Materials
• Phonon Dynamics
• +3 more

Hillary Smith is an Associate Professor of Physics at Swarthmore College, currently on leave for the academic year. Her research focuses on materials physics with specialization in energy storage materials, phonon dynamics, and scattering phenomena. She employs advanced techniques including inelastic neutron scattering and ab initio calculations to investigate fundamental material properties under various thermodynamic conditions. Her laboratory investigates four interconnected themes: Structure - Atomic/molecular configurations Dynamics - Atomic motions and interactions Heat - Temperature-dependent behaviors Energy - Material responses in energy systems Recent publications demonstrate a consistent focus on phonon behavior in functional materials, particularly through neutron scattering techniques. Work shows strong emphasis on battery materials, thermal properties of metals/alloys, and computational methods development. The 2022-2023 publications indicate expanding research into hydrogen storage and metallic glasses. Significant recognitions include: 2023 DOE Early Career Award Election to the SHUG-EC committee Laboratory developments include acquisition of new X-Ray diffractometer and NSF-funded instrumentation supporting ongoing investigations into material thermodynamics.

Stella QuinonesView profile

Associate Professor

• Engineering Education
• Biomedical Sensors
• Nanoscale Manufacturing
• +4 more

Dr. Stella Quinones is an Associate Professor and Department Chair in the Department of Metallurgical, Materials and Biomedical Engineering (MMBME) at the University of Texas at El Paso (UTEP). With over 20 years of academic experience, her work bridges engineering education and materials science. Her research focuses on engineering education strategies to increase diversity in STEM, particularly for women and first-year students. She also develops innovative sensors for biomedical applications, including non-invasive glucose monitoring, and investigates materials for aerospace and energy technologies like CdTe thin films and high strain-rate materials. Her educational initiatives include hands-on coursework in sensor design and quantum mechanics tailored for electrical engineers, which have improved student outcomes. Dr. Quinones emphasizes active learning through technology integration and mentorship programs to support academic success. Her research interests span multiple disciplines, including biomedical sensors, nanoscale manufacturing, and materials characterization. She has contributed to advancements in 3D manufacturing and the analysis of materials under extreme conditions such as hypervelocity impacts. Her pedagogical innovations include a first-year hands-on sensor design course that increased passing rates in subsequent engineering courses. Dr. Quinones also leads efforts in curriculum development and collaborative educational programs to enhance STEM retention. Dr. Quinones’ articles highlight her work in materials science, sensor technology, and educational methodologies. Her recent studies explore corrosion behavior of high-entropy alloys, machine learning in glucose sensing, and modular motion control systems for printed electronics. She has published extensively on semiconductor materials, quantum device physics, and the microstructural analysis of metals exposed to space environments. In advising and grants, Dr. Quinones focuses on mentorship programs for at-risk students and interventions to improve academic and career trajectories. She has been instrumental in securing funding for educational initiatives and materials research through partnerships with organizations like ProQuest/Pivot. Her commitment to fostering an inclusive academic environment is central to her work at UTEP.

Jörg WoehlView profile

Associate Professor

• Physical Chemistry
• Biophysical Chemistry
• Analytical Measurement/Instrumentation
• +7 more

Jörg Woehl is an Associate Professor in the Department of Chemistry & Biochemistry at the University of Wisconsin-Milwaukee (UWM), within the College of Letters & Science. His research focuses on interdisciplinary biophysical chemistry, nanotechnology, and ultra-sensitive analysis. He leads the Woehl Group, which investigates molecular electric fields' roles in biological processes and develops novel trapping techniques for single biomolecules. Woehl holds a PhD from the University of California, Riverside. His work integrates single-molecule imaging, nanophotonics, and cryogenic techniques to study protein function, particularly in myoglobin and hemoglobin. He has pioneered corral trapping—a method using electrostatic fields to immobilize nanoparticles and biomolecules—for applications in molecular assembly and DNA analysis. Key research themes include molecular electric field sensing via fluorescent heme analogs, dielectrophoretic trapping for particle manipulation, and advanced microscopy instrumentation like PSFLab software, used globally for point-spread function modeling. Woehl collaborates widely, including with Dr. Chang’s Mechanical Engineering group on trap stiffness analysis. His lab provides students with expertise in laser spectroscopy, photolithography, and scanning probe microscopy. While no awards are explicitly listed, his contributions to optical and biophysical instrumentation reflect significant recognition in the field.

Johannes AlbrechtView profile

Professor

• Experimental Particle Physics
• Medical Physics
• B Meson Physics
• +7 more

Prof. Johannes Albrecht is a Heisenberg Professor (W2) for Experimental Physics at TU Dortmund University since 2020. He leads the Albrecht Working Group focused on experimental particle physics (via the LHCb experiment at CERN) and medical physics. His particle physics research explores B-meson physics, lepton universality, CP violation, and detector development. In medical physics, he advances dosimetry, brachytherapy, and imaging techniques. He previously held ERC StG and DFG Emmy Noether grants (2016–2020 and 2013–2016). He serves on key committees including the LHCb Collaboration Board and the European Committee for Future Accelerators (ECFA). His laboratory is located at Otto-Hahn-Straße 4a, CP-03-113. Education: PhD in Physics from University of Heidelberg (2006–2009), studies at University of Sydney (2001) Key Positions: Deputy Physics Coordinator of LHCb (2018–2020), Senate Member of TU Dortmund (2016–present) Research emphasizes precision measurements to probe physics beyond the Standard Model, with experimental work on rare B-meson decays and real-time data analysis. Medical physics efforts include novel teletherapy methods and diagnostic image processing.

• Astronomy
• Astrophysics
• Exoplanets
• +4 more

Mohammed Luftur Rahman is a part-time lecturer at George Mason University, affiliated with the Department of Sociology and Anthropology. He actively contributes to astronomical research through observational studies and instrument automation. Institution: George Mason University Academic Rank: PartTime Lecturer Research Focus: His work spans exoplanet detection, radial velocity spectroscopy, and TESS mission data analysis, with particular emphasis on planetary systems around M dwarf stars and innovative telescope automation techniques. Recent Publications: Key themes include exoplanet validation, stellar activity effects on planetary measurements, and development of Python-based tools for campus telescopes. Articles cover systems like AU Microscopii and TOI-560, utilizing iSHELL, PFS, and HIRES instruments. Contact: Email mrahman6@gmu.edu or call 703.993.7780.

Fabian MohnView profile

Researcher

• Magnetic Particle Imaging (MPI)
• Inductive Sensors
• Circuit Design
• +3 more

Dr.-Ing. Fabian Mohn is affiliated with Technische Universität Hamburg (TUHH) and the Universitätsklinikum Hamburg-Eppendorf (UKE), working in the Institute for Biomedical Imaging. He completed his PhD in 2024 on instrumentation and applications of magnetic particles in imaging and spectroscopy. His research focuses on Magnetic Particle Imaging (MPI), inductive sensors, circuit design, and magneto-mechanical resonators. He has contributed to advancements in MPI hardware, including resonant inductive coupling networks and real-time 3D imaging systems. His work emphasizes clinical translation, such as evaluating tracers like Resotran for MPI and developing applications like gastrointestinal bleeding detection. Mohn collaborates on multi-disciplinary projects, including thermal stabilization of circuits and single-shot magnetic field measurements, published in journals like Physics in Medicine & Biology and IEEE Transactions on Medical Imaging .

• Magnetic Particle Imaging
• Tomographic Imaging
• Image Reconstruction
• +3 more

Prof. Tobias Knopp holds dual professorships in experimental Biomedical Imaging at the University Medical Center Hamburg-Eppendorf (UKE) and Hamburg University of Technology (TUHH). He leads the Institute for Biomedical Imaging and serves as Editor-in-Chief of the International Journal on Magnetic Particle Imaging (IJMPI). His expertise spans tomographic imaging, signal processing, and magnetic particle imaging (MPI), with a focus on advancing imaging technologies for clinical applications. Education: Tobias Knopp earned a Diplom in Computer Science (2007) and a PhD (2010) from the University of Lübeck, both with highest distinction. His doctoral work on MPI earned the Klee Award (2011). Career highlights include leading the MAPIT project, publishing the first MPI textbook, and developing the first commercial MPI system with Bruker Biospin (2011–2014). Research Interests: His work revolves around MPI innovation, including image reconstruction algorithms, system matrix optimization, and biomedical applications. Recent studies focus on reducing power consumption in MPI systems, improving motion correction in imaging, and applying deep learning for enhanced reconstruction. Publications reflect advancements in MPI fundamentals, such as field calibration using ellipsoidal harmonics, GPU-accelerated algorithms, and neural network-driven solutions. Awards include the Klee Award acknowledging his foundational contributions to MPI technology. As a leader in interdisciplinary research, Knopp collaborates across institutions and industries to bridge gaps between biomedical imaging theory and clinical practices. His lab develops cutting-edge tools like TrainingPhantoms.jl and explores MPI applications in perfusion imaging and catheter guidance.

• Nanoscale Imaging
• Electrochemistry
• Biological Phenomena
• +3 more

Vig Sundaresan is an Assistant Professor of Chemistry and Biochemistry at the University of Mississippi, affiliated with the College of Liberal Arts. He leads the Sundaresan Laboratory, focusing on developing high-throughput multimodal imaging techniques to study electrochemical and biological phenomena at the nanoscale and single-entity level. His research integrates super-resolution optical imaging with electrochemical methods to advance understanding in electrocatalysis, materials science, and biology. Dr. Sundaresan teaches undergraduate and graduate courses in analytical chemistry, electrochemistry, and instrumental analysis. Education: PhD in Chemistry from Temple University (2018), followed by postdoctoral work at the University of Notre Dame (2019–2021) and a role as Assistant Research Professor there (2021–2022). He has secured prestigious grants including the NSF EPSCoR Research Fellows Award and NSF CMI/EPSCoR RII Track-4 grants. His lab’s recent achievements include developing CLocK microscopy for nanoscale analysis and nanopore-based sensors. Research interests emphasize imaging electrochemical reactions at the nanoscale, with applications in designing sensitive chemical/biosensors. The lab employs correlated opto-electrochemical techniques to address fundamental questions in catalysis and biological systems. Current projects include NSF-funded studies on super-resolution imaging of nanoparticles and high-throughput electrocatalyst screening. Advising and collaborations involve mentoring graduate students and postdoctoral researchers. Notable lab members include Sachintha Illesinge, Nchumi Ndaleh, and Gintu Thomas (PhD students). Recent lab news highlights grants, student recruitment, and presentations at institutions like CECRI, India. The Sundaresan Lab operates within the Department of Chemistry & Biochemistry, offering interdisciplinary training. Their future work aims to bridge single-entity insights with ensemble-level system design for practical applications in energy and healthcare.

Suresh ThennadilView profile

Professor

• Waste-to-Energy Conversion
• Renewable Energy Systems
• Microbial Corrosion
• +4 more

Suresh Thennadil is a Professor and Pro Vice-Chancellor at Charles Darwin University , leading the Faculty of Science and Technology's Engineering division. His work spans waste-to-energy conversion, renewable energy systems, and AI applications. Current projects include hydrogen generator deployment, microgrid optimization, and carbon capture viability in the Northern Territory Research Interests Thennadil's research unites three major areas: Waste Valorization: Anaerobic digestion and pyrolysis of bio/plastic wastes for hydrogen and value-added products Renewable Energy Systems: Grid stability solutions with distributed resources and microgrid hubs AI/Data Analytics: Federated learning, explainable AI, and Kalman filtering for energy and security applications Scientific Contributions Recent publications focus on: Solar power prediction with First Nations seasonal knowledge Iot security frameworks using software-defined networking Vortex fluidic device applications in food processing Smart grid load forecasting with attention-based models Collaborations Active in multidisciplinary partnerships across: University of Strathclyde (2014) and regional Australian industries Projects with Pacific Energy, Hitachi ABB, and Australian Research Council

Animesh DattaView profile

Professor

• Quantum Information Science
• Quantum Mechanics
• Quantum Computing
• +5 more

Animesh Datta is a Professor of Theoretical Physics at the University of Warwick's Department of Physics, leading the Quantum Information Science group. He holds a B.Tech. in Electrical Engineering from Indian Institute of Technology, Kanpur (2003) and a PhD in Physics from the University of New Mexico (2008), working under Carl Caves. His postdoctoral roles included positions at Imperial College London and the University of Oxford. He joined Warwick as an Assistant Professor in 2015 and was awarded an EPSRC Early Career Fellowship (2014–2019). His research focuses on quantum information science, exploring quantum mechanics' role in information processing tasks like computation, communication, and sensing. Key interests include quantifying quantum resource advantages, designing protocols for realistic scenarios, and studying noisy processes such as energy transport in light-harvesting complexes. His work bridges quantum foundations with practical applications, including quantum metrology, gravity experiments, and quantum simulation validation. Recent publications highlight contributions in quantum gravity signatures, quantum algorithm development, and quantum light applications. Notable achievements include foundational work on quantum accreditation and multi-parameter estimation. His group actively collaborates across disciplines, with projects supported by EPSRC and other institutions. Teaching: PX447: Quantum Computation & Simulation Awards: EPSRC Early Career Fellowship (2014–2019) Labs/Teams: Quantum Information Science Group at University of Warwick

Stefan ZimmermannView profile

Professor

• Ion Mobility Spectrometry (IMS)
• Mass Spectrometry (MS)
• Sensor Technology
• +6 more

Prof. Dr.-Ing. Stefan Zimmermann is a faculty member at the Faculty of Electrical Engineering and Computer Science , Leibniz University Hannover, affiliated with the Institute for Fundamentals of Electrical Engineering and Measurement Technology . His research spans ion mobility spectrometry (IMS), sensor technology, and biomedical applications. Developed non-radioactive electron sources for IMS and ECD. Created miniaturized IMS systems for field applications. Integrated IMS with microfluidics and chromatography. Applied sensors to biomedical diagnostics (e.g., cochlear implants, sepsis therapy). His work involves collaborations with institutions like Leipzig University and funding from the German Research Foundation (DFG) and European Union programs. Key projects include TOXI-triage, ReCoWind, and GIDPROvis.

Ravishankar SundararamanView profile

Associate Professor

• Computational Materials Science
• Electrochemistry
• Plasmonics
• +9 more

Ravishankar Sundararaman is an Associate Professor in the Department of Materials Science and Engineering at Rensselaer Polytechnic Institute and holds the Priti and Mukesh Chatter '82 Career Development Chair. His research focuses on bridging quantum and classical simulation techniques for materials design in electrochemical, plasmonic, and nano-electronic applications. Ph.D. in Physics (Cornell University, 2013) B.Sc. + M.Sc. in Physics (Indian Institute of Technology, Kanpur, 2007) His group leads the development of the JDFTx open-source software and participates in the BEAST center for electrochemistry research. Key areas include hot carrier dynamics, electrocatalysis, spin relaxation, and quantum-informed material design for energy and semiconductor technologies. Recent publications highlight advancements in Random Phase Approximation methods for catalysis, spin-phonon relaxation mechanisms, and machine-learned functional approximations for multiscale modeling. Awards include the AIME Robert Lansing Hardy Award (2020) and Rensselaer School of Engineering Research Excellence Award (2020). He teaches graduate and undergraduate courses in Electronic Properties of Materials , Material Informatics , and Programming for Materials Engineers , emphasizing accessible quantum mechanics education and data science integration.