Sun Prof

To facilitate node/layer ranking, we develop an internal learning paradigm, making a good usage of internal teacher labels ; and internal optimization metrics , i.e. In other words, we’ve incorporated a notion of Internal Neuron’s Learnablility into the traditional external learning paradigm (i.e. BP) and develop a new generation of neural networks, called Explainable Neural Network . Mathematically, we adopt

• Entrepreneurship, corporate governance, venture capital networks and institutions.
• Biomechanical microenvironment regulates fusogenicity of breast cancer cells.
• Professor Sun’s research focuses on developing optimization algorithms for large-scale power systems, specifically, to greatly help with the integration of renewable energy resources into large electric power systems.
• His theory has also served because the basis for new grid codes and industry standards for power electronics in power systems.
• In order to overcome these limitations, a series of water-soluble pentaazadentate porphyrin-like rare-earth complexes and core-modified Texaphyrins that may absorb near-infrared light are being synthesized and investigated in my own group.
• Multiplex detection of pancreatic cancer biomarkers using a SERS-based immunoassay.

He is credited with developing the small-signal sequence impedance theory and solving real-world stability problems in renewable energy, HVDC transmission, and data center power systems predicated on his theory. His theory has also served as the basis for new grid codes and industry standards for power electronics in power systems. As Director of CFES, Sun is in charge of all major missions of the Center, comprising of research, education, technology development, outreach, together with collaborations with industry and other institutions. The Center supports half a dozen research and administrative workers and works together with faculty across Rensselaer on a broad scope of basic and applied research related to energy, which range from advanced materials and devices for energy storage and energy efficiency, to renewable energy, also to power systems. Sun is really a Fellow of IEEE and

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etc. One of his papers was selected as the “ten most outstanding full papers in the past decade (2001~2010) in Advanced Functional Materials”. Dr. Sun has given over 180 plenary/keynote/invited presentations and seminars. He could be an editor of Sensors, and IEEE Transactions on Magnetics, and a fellow of the IEEE, Institute of Physics, and of the Institution of Engineering and Technology. Photodynamic therapy can be an emerging cancer procedure in line with the interaction of light, a photosensitizer, and oxygen.
Unfortunately, limitations of current photosensitizers, such as toxicity, inability to take care of deeply situated cancers, cutaneous photosensitivity, and water insolubility avoid the widespread use of PDT to date. In order to overcome these limitations, a number of water-soluble pentaazadentate porphyrin-like rare-earth complexes and core-modified Texaphyrins that may absorb near-infrared light are increasingly being synthesized and investigated in my own group. Professor Sun’s research targets developing optimization algorithms for large-scale power systems, in particular, to greatly help with the integration of renewable energy resources into large electric power systems. He also studies the look and operations of power grids along with other infrastructure, such as for example electrified transportation systems, alternative fuel systems and battery supply chains.

Dr. Sun can be thinking about the role of environmental pollutants, especially those from dietary sources, in the etiology of obesity and type 2 diabetes. ECE Professor Nian Sun has been named an IEEE Fellow for his contributions to integrated magnetic and magnetoelectric materials and devices. Multiplex detection of pancreatic cancer biomarkers utilizing a SERS-based immunoassay. It is clear of octrocrylene, which is the subject of controversy because of its potential effect on health, and it is “Coral Reef safe”, i.e. free from ingredients that can damage the delicate eco-systems of marine environments. The merchandise is vegan and clear of synthetic fragrances, silicone, parabens and mineral oils.

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states of matter and providing theoretical knowledge of their exotic properties. His recent work includes fractional topological states in topological flatbands, interaction induced topological insulators, topological Kondo insulators and holographic elasticity. He’s got also studied various non-Fermi liquids in strongly correlated fermionic systems, focusing on the quantum liquid crystal phases, and frustrated magnetism. Our research places the focus on developing high-performing learning networks, that deep learning processors has now become the state-of-the-arts and also have virtually replaced most traditional signal processors in speech and image processing applications.
Back-propagation , the existing de facto training paradigm for deep learning models, is ideal for parameter learning but offers no role in finding an optimal network structure. We need to go beyond BP so as to derive an optimal network, both in stricture and in parameter. If we have a highly effective mechanism to do node-ranking, and layer ranking, then it will greatly facilitate the procedure of network pruning, i.e. deep compression. To this end, an integral ingredient is to develop a joint parameter/structural gradient-type method to gradually polish the network towards an optimal structure, while traversing a thorough solution space covering likely candidates for optimal designs in size, power, speed, and accuracy.

• Biomechanical microenvironment regulates fusogenicity of breast cancer cells.
• Professor Sun’s research targets developing optimization algorithms for large-scale power systems, specifically, to greatly help with the integration of renewable energy resources into large energy systems.
• It is free from octrocrylene, which is the subject of controversy because of its potential impact on health, and it is “Coral Reef safe”, i.e. free from ingredients that can harm the delicate eco-systems of marine environments.
• Mathematically, we adopt
• Back-propagation , the current de facto training paradigm for deep learning models, is ideal for parameter learning but offers no role in finding an optimal network structure.

Our research focuses on the synthesis and characterization of photofunctional organic/metallo-organic materials for optical limiting and/or photodynamic therapy applications. Entrepreneurship, corporate governance, venture capital networks and institutions. Dr. Sun’s primary research interests are to recognize and examine biomedical risk factors, including dietary biomarkers, in relation to type 2 diabetes, obesity, and cardiovascular disease. His research is primarily based on a few large-scale cohort studies including the Nurses’ Health Study I and II and medical Professionals Follow-up Study.

Peiran Zhu, Ning-Hsuan Tseng, Tianfa Xie, Ningwei Li, Isaac Fitts-Sprague, Shelly R. Peyton, and Yubing Sun. Biomechanical microenvironment regulates fusogenicity of breast cancer cells. Sun protection hair cream nourishes and moisturizes the hair during sun exposure. This moisturizing hair cream is formulated to nourish the hair while being exposed to the sun.
Before joining the faculty at Rensselaer in 2002, he was a Principal Engineer at the Advanced Technology Center of Rockwell Collins where he worked for five years. Prior to that, he was a Post-Doc Fellow at Georgia Institute of Technology from 1996 to 1997. He is currently a Professor of the ECSE Department and Director of the Center for Future Energy Systems funded by NY State government. Sun’s research is in the overall section of power electronics, having an emphasis on modeling and control together with applications in aerospace, IT, and power systems. His recent research focus has been on power electronics for renewable energy, high-voltage dc transmission and other power system applications.