A5101962233- Interconnection Networks and Systems
- Advanced Graph Theory Research
- Multi-Criteria Decision Making
- graph theory and CDMA systems
- Graph theory and applications
- Graph Labeling and Dimension Problems
- Image Retrieval and Classification Techniques
- Advanced Optical Network Technologies
- Bioinformatics and Genomic Networks
- Bayesian Modeling and Causal Inference
- Multisensory perception and integration
- Gene expression and cancer classification
- Target Tracking and Data Fusion in Sensor Networks
- Face and Expression Recognition
- VLSI and FPGA Design Techniques
- Data Management and Algorithms
- Color perception and design
- Rough Sets and Fuzzy Logic
- Video Surveillance and Tracking Methods
- Network Security and Intrusion Detection
- Computational Drug Discovery Methods
- Financial Markets and Investment Strategies
- Coding theory and cryptography
- Information Retrieval and Search Behavior
- Software-Defined Networks and 5G
Fordham University
2016-2025
William P. Wharton Trust
2023
Expert System (Italy)
2023
Integra (United States)
2019
Pacific Biosciences (United States)
2012-2014
Brown University
2014
University of California, Merced
2014
National Institute of Informatics
2008
The University of Melbourne
2007
National Bureau of Economic Research
2007
Motivation: Virtual screening of molecular compound libraries is a potentially powerful and inexpensive method for the discovery novel lead compounds drug development. The major weakness virtual screeningthe inability to consistently identify true positives (leads)is likely due our incomplete understanding chemistry involved in ligand binding subsequently imprecise scoring algorithms. It has been demonstrated that combining multiple functions (consensus scoring) improves enrichment...
As the scales of parallel applications and platforms increase negative impact communication latencies on performance becomes large. Fortunately, modern High Performance Computing (HPC) systems can exploit low-latency topologies high-radix switches. In this context, we propose use random shortcut topologies, which are generated by augmenting classical with links. Using graph analysis find that these when compared to non-random same degree, lead drastically reduced diameter average shortest...
Mobile target tracking with artificial intelligence (AI) approaches such as deep reinforcement learning (DRL) in edge-assisted Internet of Things (Edge-IoT) platform can be promising. In this article, we propose <monospace xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DRLTrack</monospace> , a framework for collaborative DRL called C-DRL Edge-IoT the aim to obtain two major objectives: high quality (QoT) and resource-efficient network performance....
As the scales of parallel applications and platforms increase negative impact communication latencies on performance becomes large. Fortunately, modern High Performance Computing (HPC) systems can exploit low-latency topologies high-radix switches. In this context, we propose use random shortcut topologies, which are generated by augmenting classical with links. Using graph analysis find that these when compared to non-random same degree, lead drastically reduced diameter average shortest...
Abstract Motivation : Structural variation is common in human and cancer genomes. High-throughput DNA sequencing has enabled genome-scale surveys of structural variation. However, the short reads produced by these technologies limit study complex variants, particularly those involving repetitive regions. Recent ‘third-generation’ provide single-molecule templates longer reads, but at cost higher per-nucleotide error rates. Results We present MultiBreak-SV, an algorithm to detect variants...
Eye movement of six subjects was recorded as they watched video segments with and without captions. It found that the addition captions to a resulted in major changes eye patterns, viewing process becoming primarily reading process. Further, although people specific segment are likely have similar there also distinct individual differences present these patterns. For example, someone accustomed speechreading may spend more time looking at an actor's lips, while poor English skills Finally,...
The identification of stressfulness under certain driving condition is an important issue for safety, security and health. Sensors systems have been placed or implemented as wearable devices drivers. Features are extracted from the data collected combined to predict symptoms. challenge select feature set most relevant stress. In this paper, we propose a selection method based on performance diversity between two features. sets selected then using combinatorial fusion. We also compare our...
State-of-the-art sampling-based online POMDP solvers compute near-optimal policies for POMDPs with very large state spaces.However, when faced observation spaces, they may become overly optimistic and suboptimal policies, because of particle divergence.This paper presents a new solver DESPOT-α, which builds upon the widely used DESPOT solver.DESPOT-α improves practical performance planning as well spaces.Like DESPOT, DESPOTα uses belief approximation searches determinized sparse tree.To...
Due to the recent rapid development in ChIP-seq technologies, which uses high-throughput next-generation DNA sequencing identify targets of Chromatin Immunoprecipitation, there is an increasing amount data being generated that provides us with greater opportunity analyze genome-wide protein-DNA interactions. In particular, we are interested evaluating and enhancing computational statistical techniques for locating protein binding sites. Many peak detection systems have been developed; this...
Basic studies in denotational mathematics and mathematical engineering have led to the theory of abstract intelligence (aI), which is a set models natural computational cognitive informatics (CI) computing (CC). Abstract triggers recent breakthroughs systems such as computers, robots, neural networks, learning. This paper reports position statements presented plenary panel (Part II) IEEE ICCI*CC'16 on Cognitive Informatics Computing at Stanford University. The summary contributed by invited...