Optical RAM Professors and Supervisors

Lakshman Tamilمشاهده پروفایل

استاد

University of Texas at DallasUnited States

Dr. Lakshman Tamil is a Full Professor in the Department of Electrical and Computer Engineering at the University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. He holds a Ph.D. in Electrical Engineering from the University of Rhode Island (1989), an M.S. in Mathematics (1989), an M.Tech. in Microwave and Optical Communications Engineering from IIT Kharagpur (1983), and a B.E. in Electronics and Communications Engineering from Madurai Kamaraj University (1981). His research focuses on AI-driven healthcare technologies, including quantum machine learning , telemedicine platforms , wearable health monitoring systems , and IoT applications . Notable projects include automated breast cancer detection via AI mammogram screening , arrhythmia assessment through wearable ECG patches, and low-cost sleep apnea monitoring tools like Apnea MedAssist . His work has been commercialized through ventures like MedCognetics and Cardiocognetics . Research Highlights : - Developed racially unbiased AI systems for mammogram analysis ( RAMS ). - Designed real-time ECG-based heart attack prediction algorithms. - Advanced blockchain solutions for secure medical data sharing. - Authored over 200 publications and holds multiple patents, including U.S. patents for arrhythmia detection and sleep quality assessment. Awards : - Best Teacher Award (2022), UTD. - Fellow, National Academy of Inventors (2019). - Fellow, OPTICA (2009) and The Electromagnetics Academy (2000). Grants & Funding : - Led multi-terabit optical switching projects funded by Yotta Networks ($40M+). - Secured NIH grants for AI-powered healthcare data repositories ( AIM-AHEAD ). - Managed NASA and ONR grants for optical communication and inverse scattering research. Labs & Teams : - Director of the Quality of Life Technology Lab (QoLT) , which pioneers AI-driven healthcare solutions. - Collaborates with industry partners like Spike Technologies and Alcatel on applied research.

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Anuradha Guptaمشاهده پروفایل

استادیار

University of MississippiUnited States

Dr. Anuradha Gupta is an Assistant Professor in the Department of Physics and Astronomy at the University of Mississippi, affiliated with the College of Liberal Arts. She is an active researcher in gravitational wave physics and astrophysics, and a member of major international collaborations including the LIGO Scientific Collaboration and the LISA Consortium. Education: B.S. in Science, Dr. Ram Manohar Lohiya Avadh University, India (2007) M.Sc. in Physics, Banaras Hindu University, India (2009) Ph.D. in Physics, Tata Institute of Fundamental Research, India (2014) Her primary research interests lie in gravitational wave physics, astrophysics, and cosmology, particularly focusing on neutron stars, black holes, and tests of general relativity. She contributes to the detection and parameter estimation of gravitational wave signals from compact binary systems. Her work bridges theoretical modeling with observational data from advanced detectors. Dr. Gupta has been recognized with several prestigious scientific awards, including the Gruber Cosmology Prize (2016), the Buchalter Cosmology Prize (Second Prize, 2019), and the Excellence in Community Engagement Award from the University of Mississippi (2024). She has also received recognition for her presentations and research excellence during her postdoctoral tenure. She has mentored students through teaching core physics courses such as Physics for Science & Engineering I and II, Mechanics, and Optics. Her professional memberships include the American Physical Society, International Astronomical Union, LISA Consortium, and the Indian Association of General Relativity and Gravitation. She previously held postdoctoral fellowships at the Inter-University Centre for Astronomy and Astrophysics (2014–2017) and Pennsylvania State University (2017–2020). Dr. Gupta is actively involved in large-scale scientific collaborations, particularly through the LIGO Scientific Collaboration and LISA Consortium, contributing to the global effort in gravitational wave astronomy and future space-based detection missions.

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Mengfan Guoمشاهده پروفایل

پژوهشگر ارشد

University of CambridgeUnited Kingdom

Mengfan Guo is a Goldsmiths’ Early Career Research Fellow at Churchill College, affiliated with the Department of Materials Science & Metallurgy at the University of Cambridge. He holds a BS and PhD from Tsinghua University. His research focuses on polar materials for energy and information applications, particularly studying toroidal topologies in ferroelectric polymers and electrocaloric effects for eco-friendly heat pumps. Key areas include dielectric properties, piezoelectric behavior, and energy storage solutions. Dr. Guo’s work emphasizes the interplay between structural strain, chemical disorder, and polarization in materials. He explores novel composites and nanomaterials to enhance energy density, thermal stability, and mechanical robustness, with applications in capacitors and ferroelectric memories. His research bridges fundamental material science with practical engineering solutions for sustainable energy systems. Publications highlight advancements in electrocaloric heat measurement, high-temperature polymer nanocomposites, and ferroelectric nanostructures. Current projects investigate strain-driven polar topologies and multifunctional materials for next-generation devices. His interdisciplinary approach combines experimental characterization with computational modeling to advance material design principles.

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Jian Wangمشاهده پروفایل

مدرس

University of Minnesota Twin CitiesUnited States

Jian Wang serves as a Visiting Instructor at the University of Minnesota Crookston, functioning as an active on-campus faculty member with research responsibilities. His institutional affiliation centers on advancing magnetic materials science within the university's engineering or physical sciences framework, though specific departmental details remain unpublicized in available sources. His research program critically examines: Spintronic device physics including magnetic tunnel junctions and voltage-controlled exchange coupling Iron nitride synthesis for next-generation permanent magnets Biomedical applications of magnetic nanoparticles in neurostimulation and diagnostics Spin-orbit torque phenomena in novel alloy systems Ultrafast magnetization control techniques for energy-efficient computing Analysis of his 2025 publications reveals a cohesive trajectory toward ultralow-power spintronic memory/logic devices and biomedical translation. Key themes include voltage-controlled magnetic anisotropy engineering, multiplexed magnetic particle spectroscopy diagnostics, and micromagnetic neural stimulation techniques—demonstrating deliberate convergence between fundamental magnetism research and healthcare applications. No institutional awards or fellowships were documented in the source materials. Regarding academic contributions, no verifiable information exists about graduate student mentorship, externally funded research grants, laboratory infrastructure, or collaborative research teams. His scholarly output appears primarily publication-driven without indication of patent activity or industry partnerships.

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Yasser Omarمشاهده پروفایل

دانشیار

University of LisbonPortugal

Yasser Omar is an Associate Professor at the Logic and Computation Unit within the Department of Mathematics at Instituto Superior Técnico (IST), University of Lisbon. He serves as Group Coordinator for the Physics of Information and Quantum Technologies Group at PQI – Portuguese Quantum Institute and CeFEMA/LAPMET. Additionally, he is President of PQI and a Corresponding Member of Academia das Ciências de Lisboa. Ph.D. in Physics, Centre for Quantum Computation, Department of Physics, University of Oxford (2003) Physics Degree (Licenciatura em Engenharia Física Tecnológica), Instituto Superior Técnico (1998) His research focuses on quantum information, quantum technologies, and their intersections with physics, mathematics, and computation. Key areas include quantum entanglement, quantum algorithms, quantum thermodynamics, and applications to complex networks and high-energy physics. Recent publications highlight advancements in quantum communication, energy-efficient computation, and quantum machine learning. Notable works include quantum clustering algorithms, multipartite entanglement distribution, and thermodynamic scaling in quantum computers. He coordinates the Minor in Quantum Science and Technologies at IST and directs the Doctoral Programme in the Physics and Mathematics of Information. His leadership extends to co-founding the World Quantum Day (April 14) and EQSI – European Quantum Software Institute, while also serving as Co-Chair of the Advisory Board for the CERN Quantum Technology Initiative. Yasser Omar's work at the QuTe Lab – Quantum Technologies Laboratory – has been featured in media outlets like SIC TV, focusing on free-space quantum communication and its applications.

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Rajeev J. Ramمشاهده پروفایل

استاد

Massachusetts Institute of TechnologyUnited States

Rajeev J. Ram is a Professor of Electrical Engineering at the Massachusetts Institute of Technology (MIT), affiliated with the Research Laboratory of Electronics (RLE) within the School of Engineering. His primary department is Electrical Engineering and Computer Science (EECS). He holds degrees in Applied Physics from Caltech and Electrical Engineering from UC Santa Barbara. Education: B.S. in Applied Physics, California Institute of Technology Ph.D. in Electrical Engineering, University of California, Santa Barbara Research Interests: Ram's work focuses on integrating photonics with microelectronics, developing energy-efficient semiconductor devices, and advancing microfluidic systems for biopharmaceutical applications. His lab pioneered technologies like threshold-less lasers and 100%-efficient light sources, with recent emphasis on quantum computing interfaces and rural solar electrification solutions like SolSource. Awards: St. Andrews Prize for Energy and Environment (for thermoelectric rural electrification) RLE Semiconductor Laser Group Leadership (1999) Grants & Leadership: Managed a $100M portfolio at ARPA-E, advised DARPA, and led MIT's Center for Integrated Photonic Systems (CIPS). His work bridges academia-industry partnerships, including collaborations with national labs on quantum information science centers. Labs & Teams: Heads the Physical Optics and Electronics Group at MIT, focusing on photonics integration, quantum optics, and biopharmaceutical microfluidics. Active in translating lab innovations into global applications like the SolSource energy system.

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Ivan Milovanovicمشاهده پروفایل

پژوهشگر

Singidunum UniversitySerbia

Ivan Milovanović is a researcher at the Department of Postgraduate Studies , University of Singidunum, Belgrade, Serbia. He holds a doctoral degree in Advanced Protection Systems from Singidunum University (2015) and has previously completed master's and bachelor's studies in Contemporary Information Technologies and Graphics and Design at the same institution. His career spans roles in software development, wireless communication research, and neural network applications for electromagnetic signal processing. B.Sc. in Graphics and Design (2008), Singidunum University M.Sc. in Contemporary Information Technologies (2009), Singidunum University Ph.D. in Advanced Protection Systems (2015), Singidunum University Milovanović's research focuses on applying neural networks to solve complex problems in wireless communications, particularly in direction-of-arrival (DOA) estimation for stochastic electromagnetic sources. His work addresses challenges in localization accuracy, signal correlation, and power variation. He has contributed to advancements in 2D/1D DOA estimation using hybrid neural models, experimental validation of antenna array measurements, and noise interference analysis in wireless systems. Publications span topics like wireless sensor networks, channel modeling, and MESH network security. Recent publications highlight a strong interdisciplinary focus combining neural networks with electromagnetic signal processing , antenna array optimization , and wireless communication systems . His work explores stochastic source tracking, coherent signal resolution, and noise mitigation techniques, often collaborating with researchers like Z. Stanković and N. Dončov. While no scientific awards are explicitly mentioned in the provided text, his extensive publication record indicates active contributions to applied electromagnetics and telecommunications engineering.

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Matthew Sharpeمشاهده پروفایل

پژوهشگر

University of SurreyUnited Kingdom

Matthew Sharpe is a Researcher at the University of Surrey 's Surrey Ion Beam Centre , specializing in Ion Beam Analysis and materials characterization for advanced technologies. His work spans semiconductor devices, radiation effects, and environmental science applications. PhD from University of Surrey (2020) on photodetector development Research focuses on Time-of-Flight Elastic Recoil Detection Analysis (ToF-ERDA) and Rutherford Backscattering Spectrometry (RBS) for depth profiling and elemental characterization. Key areas include: Radiation resilience in perovskite solar cells for space applications PFAS contamination in fire suppression systems Surface analysis of polymer films and oxide materials Hydrogen dynamics in ReRAM devices Publications highlight his expertise in ion beam techniques applied to energy technologies, adhesives, and environmental remediation. He co-supervises postgraduate researchers and advises MPhys interns.

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Avik Ghoshمشاهده پروفایل

استاد

University of VirginiaUnited States

Avik Ghosh is a Professor of Electrical and Computer Engineering at the University of Virginia's School of Engineering and Applied Science. He received his Ph.D. from Ohio State University in 1999 and leads the Virginia Nano-Computing Research Group (ViNo) at UVA. His research spans theoretical condensed matter physics with applications in nanoelectronics, quantum transport, and beyond-CMOS computing paradigms. Professor Ghosh's research interests focus on understanding non-equilibrium properties of nano-scale material structures. His group applies a combined understanding of fundamental physics, chemistry, material science, and device engineering to explore novel device concepts. Key research areas include quantum transport in strongly correlated systems, tunnel-transistors and Klein tunnel switches, Dirac Cone systems (Graphene, Bilayer Graphene, Topological Insulators), nanomagnetic memory and logic, and nanoscale thermal flow. His work connects emerging materials with novel devices toward innovative circuit and architecture design using tools from 'first principles' models to quantum transport to compact models. His recent publications reveal a strong focus on quantum transport phenomena, thermal management at nanoscale interfaces, and spin-based computing. The research demonstrates expertise in combining theoretical modeling with practical device applications, particularly in topological materials, Heusler alloys, and 2D materials systems. His work often involves sophisticated computational approaches including density functional theory and non-equilibrium Green's function methods. IOP Fellow (since 2011) Top-10 breakthrough research of 2016, Physics World Physical Review B paper in Editor's Suggestion (2016) All University Teaching Award (2013) IBM Faculty Award (2011) NSF CAREER award (2008) Professor Ghosh has secured significant research funding including a $3.4 million DARPA grant for shrinking computing memory. His Virginia Nano-Computing Research Group maintains strong collaborations across disciplines, connecting fundamental physics with practical engineering challenges in next-generation electronics. The group actively utilizes high-performance computational resources and develops numerical algorithms to advance understanding of nanoscale science and engineering.

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Roberto Philip Sagliaمشاهده پروفایل

پژوهشگر

Max Planck Institute for Extraterrestrial PhysicsGermany

Roberto Philip Saglia is a prominent astrophysicist and researcher at the Max Planck Institute for Extraterrestrial Physics (MPE) in Garching, Germany, where he works in the Optical and Interpretative Astronomy (OPINAS) department. With a career spanning several decades, Dr. Saglia has established himself as a leading expert in galaxy formation and evolution, cosmology, and extragalactic astronomy. Dr. Saglia's research primarily focuses on understanding the structure and evolution of galaxies, with particular emphasis on stellar populations, dark matter distribution, and black hole physics. He is a key contributor to the Euclid space mission, a European Space Agency project designed to investigate the nature of dark energy and dark matter through precise measurements of galaxy shapes and redshifts. His recent work (2023-2025) has centered on analyzing Early Release Observations from the Euclid mission, examining various aspects of galaxy clusters, dwarf galaxies, globular clusters, and large-scale cosmic structures. Dr. Saglia has published extensively in leading astronomy journals, with over 170 publications to his name, demonstrating his significant contributions to the field. As evidenced by his numerous collaborative papers, Dr. Saglia works with an extensive international network of astronomers and cosmologists across Europe and beyond. His research combines observational data with sophisticated theoretical modeling to address fundamental questions about the universe's structure and evolution. Dr. Saglia has received support from prestigious research programs including the Priority Program 1177 Witnesses of Cosmic History, the Transregional Collaborative Research Center TRR 33 - The Dark Universe, and the Cluster of Excellence for Fundamental Physics - Origin and Structure of the Universe.

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