جست‌وجوی استاد و پژوهشگر

Omid Noroozianمشاهده پروفایل

استاد مهمان

• Electro-Optical Instrumentation
• Superconducting Detectors
• Astrophysics Instrumentation
• +۷ مورد دیگر

Omid Noroozian is a Visiting Professor in Electrical and Computer Engineering at NASA Goddard Space Flight Center, where he works as a civil servant research engineer in the Detector Systems branch (code 553). His work focuses on developing advanced low-noise electro-optical instrumentation and superconducting detector technologies for astrophysics and remote sensing applications from space and balloon-based platforms. His research spans ultrasensitive superconducting detectors such as Kinetic Inductance Detectors (KIDs), Transition-Edge Sensors (TES), Bolometers, and x-ray/gamma-ray calorimeters. He also develops low-temperature electronic readout and multiplexing circuits, on-chip photonic spectrometers for mid- to far-IR spectroscopy, heterodyne receivers, and quantum-limited wide-band amplifiers. Dr. Noroozian has led major instrumentation projects including the development of the MUSIC imaging array and the µ-Spec spectrometer chip. His work supports future NASA mission concepts such as the Origins Space Telescope, Lynx, HabEx, and LUVOIR. He has collaborated extensively with institutions including Caltech/JPL, NIST, SRON, TU-Delft, UC Berkeley, UVA, JHU, and UMD. Scientific Awards: Roman Technology Fellowship (NASA) He has mentored research teams and led laboratory development at NRAO and NASA, though no formal students are listed. His technological innovations have enabled scalable detector arrays and next-generation receiver systems for ground and space telescopes.

Ayan Senguptaمشاهده پروفایل

استادیار

• Neuroimaging
• Functional magnetic resonance imaging (fMRI)
• Ultra-high-field 7 T MRI
• +۵ مورد دیگر

Ayan Sengupta, Ph.D. is an Assistant Professor in the Department of Health Physics and Diagnostic Sciences at the University of Nevada, Las Vegas , where he began in Fall 2024. He teaches Comprehensive Medical Imaging , MRI Physics , Radiation Science , and Dosimetry for both undergraduate and graduate programs. Educational Background Bachelor’s degree in Engineering (India) Master’s degree in Computer Science, specializing in medical image processing, University of Nebraska Ph.D. in Neuroimaging, Otto-von-Guericke University, Germany (supported by DFG Research Scholarship) Postdoctoral research, University of Cambridge & Sir Peter Mansfield Imaging Centre, United Kingdom Lifetime Honorary Affiliate, Hughes Hall, University of Cambridge Research Fellow, Royal Holloway, University of London Research Focus Dr. Sengupta’s work centers on cutting-edge neuroimaging, particularly ultra-high-field 7 T human fMRI . He leverages machine learning and artificial intelligence to decode how the brain represents visual and tactile information. At UNLV he is establishing a program on accessible low-field MRI systems for primary care and is pioneering novel imaging and AI techniques for dementia biomarkers . Publication Landscape Across 20 peer-reviewed works, a clear arc emerges: pioneering 7 T fMRI methodologies (motion correction, resolution optimization), constructing probabilistic atlases of somatosensory digit maps, and integrating computational approaches (decoding orientation, musical genres). Recent efforts extend to low-field MRI accessibility and AI-driven dementia biomarkers , reflecting a translational trajectory from high-field neuroscience to clinical impact. Scientific Honors DFG (Deutsche Forschungsgemeinschaft) Research Scholarship Lifetime Honorary Affiliate, Hughes Hall, University of Cambridge Current Activities & Future Directions Dr. Sengupta is actively building his laboratory at UNLV, acquiring funding and collaborators to advance low-field MRI systems and AI-based dementia diagnostics. While no specific students are named in the provided text, his program is expected to recruit graduate researchers as infrastructure develops.

John Verboncoeurمشاهده پروفایل

استاد

• Plasma Physics
• Radio Frequency Engineering
• Computational Modeling
• +۴ مورد دیگر

John Verboncoeur is a Professor in the Department of Computational Mathematics, Science and Engineering at Michigan State University . His research spans plasma physics , radio frequency discharge modeling , and computational simulation methods , with a focus on: Multipactor breakdown mechanisms Electromagnetic and space charge effects Particle-in-cell (PIC) and PIC-MCC simulations Similarity and scaling laws for plasma systems Machine learning for RF device optimization Terahertz modulator design Recent publications highlight trends in: Non-sinusoidal RF field interactions Dielectric surface dynamics Microscale and high-pressure plasma discharges Algorithm development for self-consistent modeling Harmonic generation in plasma breakdown No further details on education, awards, students, or laboratory affiliations were extracted from available texts.

Brian Wellsمشاهده پروفایل

دانشیار

• Computational Photonics
• Theoretical Photonics
• Metamaterials
• +۴ مورد دیگر

Brian Wells serves as Associate Professor of Physics in the College of Arts and Sciences at the University of Hartford, with research spanning computational photonics and low-dimensional magnetic systems. His collaborative work bridges theoretical modeling and practical undergraduate-accessible experimentation. Education PhD, University of Massachusetts, Lowell MS, University of Massachusetts, Lowell BS, Clark University Professor Wells' research bifurcates into two synergistic domains. His photonics work develops theories and numerical simulations for optical metamaterials—particularly plasmonic nanowire assemblies—using MATLAB and Finite Element Method software, while establishing an undergraduate-focused lab for microwave-scale metamaterials fabrication via silk-screen printing. This enables investigations into cloaking, negatively indexed materials, and super-lensing. Concurrently, he studies spin-spin interactions in frustrated magnetic systems using ALPS simulation codes and MATLAB, comparing results with quantum Monte Carlo data and experimental validation from Clark University's magneto-Chemistry group. His publication trajectory reveals a strategic evolution: early work (2005-2009) centered on quantum magnetic systems in copper compounds, while recent publications (2013-2017) demonstrate deep engagement with nonlocal effects in metamaterials, plasmonic waveguide dynamics, and spontaneous emission phenomena—showcasing consistent application of computational physics across domains. No scientific awards were documented in available sources. Professor Wells' lab development indicates active research funding, though specific grants aren't detailed. His collaborations with UMass Lowell and Clark University enhance resource access, while the microwave metamaterials approach creates exceptional undergraduate research opportunities—students participate in full experimental cycles from fabrication to validation, gaining skills typically reserved for graduate programs. The emerging microwave metamaterials lab utilizes conductive ink and traditional printing techniques to democratize advanced research, allowing students to investigate cloaking mechanisms and super-lensing effects through hands-on experimentation. This practical framework transforms theoretical concepts into tangible learning experiences while advancing frontier research in accessible ways.

Kian Pokornyمشاهده پروفایل

استاد

• Artificial Intelligence
• Soft Computing
• Data Science
• +۱ مورد دیگر

Kian Pokorny serves as Professor of Computing at McKendree University, maintaining an office in Clark Hall 200 with contact phone (618) 537-6440. His academic foundation includes a Ph.D. from Louisiana Tech and dual degrees (M.S., B.S.) from Central Missouri State University. Education background: Ph.D., Louisiana Tech M.S., Central Missouri State University B.S., Central Missouri State University His research spans Artificial Intelligence , Soft Computing , Data Science , and Computer Science Education , driven by the philosophy: "My highest priority as an educator is to produce lifelong learners with strong critical thinking skills. This I hope to accomplish by creating a non-threatening, student-centered environment within my classroom that allows students to achieve the highest possible levels of learning." This commitment manifests in curriculum innovations and educational tool development. Analysis of his 15 most recent publications reveals consistent focus on computer science pedagogy evolution. Key trends include: integration of data science into traditional curricula (2022), machine learning applications for institutional analysis (2021), and sustained development of the Frances tool suite for computer architecture education (2009-2012). His work bridges theoretical computer science with practical educational implementation, demonstrating particular strength in constraint satisfaction problems and fuzzy logic applications. Scientific recognition: ACI Grant for Intelligent Tutoring Systems Design: An Empirical Approach (2005-2006) While specific student advisees aren't documented, his extensive publication record in educational methodology suggests significant mentorship impact. The ACI grant specifically supported research into adaptive learning systems, indicating early recognition of his contributions to educational technology innovation. No laboratory facilities or research teams are referenced in available materials.

Fereydoun Daneshgaranمشاهده پروفایل

استاد

• Wireless Communications
• Digital Communications
• Coding Theory
• +۷ مورد دیگر

Fereydoun Daneshgaran is a Professor and Chairman of the Electrical & Computer Engineering Department at California State University, Los Angeles, where he has served since 2006. He also directs the fiber and nonlinear optics research laboratory and has held various academic leadership positions including chairman of the Communications group and acting chairman of the ECE Department. Dr. Daneshgaran's educational background includes: Ph.D. in Communications, VLSI, and Optimization from UCLA (1992) M.S. (Magna Cum Laude) in Communications, Solid State Electronics, and Control Systems from Cal State LA (1985) B.S. (Magna Cum Laude) in Electrical and Mechanical Engineering from Cal State LA (1983) Dr. Daneshgaran's primary research interests focus on wireless communications, digital communications, and information theory. His work spans multiple specialized areas including coding theory (particularly Turbo Codes and LDPC codes), quantum key distribution, cognitive radio, and network localization. His research has significant applications in wireless networking protocols, particularly IEEE 802.11 standards, with numerous publications analyzing throughput performance under various network conditions. He has also made substantial contributions to optical communications and signal processing techniques. Dr. Daneshgaran's publication record shows a progression from foundational work in Viterbi decoding and turbo codes to more recent applications in quantum communications and advanced wireless network protocols. His research consistently bridges theoretical communications theory with practical implementations, as evidenced by both his extensive journal publications and industry experience. His scientific achievements include: Best Paper Award at First International Conference on Advances in Satellite and Space Communications (SPACOMM 2009) U.S. Patent No. US 2007/0079223 A1 for "A method and system for Information processing" Dr. Daneshgaran has supervised numerous Ph.D. students and visiting scholars, primarily from Politecnico University of Turin (POLITO), Italy, fostering international research collaborations. His academic leadership extends to developing and teaching the entire graduate sequence in digital communications at Cal State LA, along with specialized courses in wireless communications, cognitive radio, and optical communication systems. He has also maintained industry connections through various consulting roles and entrepreneurial ventures in communications technology. As director of the fiber and nonlinear optics research laboratory from 1994 to 2015, Dr. Daneshgaran led research in optical communications and related technologies. His work has bridged theoretical communications research with practical implementations, as evidenced by both his academic publications and industry experience founding companies like EuroConcepts S.r.l. and Quantum Bit Communications, LLC.