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Prof. Gaurav Sharma

IEEE Fellow

Department of Electrical and Computer Engineering

University of Rochester

Large Scale Visual Data Analytics for Geospatial Applications

Abstract: The widespread availability of high resolution aerial imagery covering wide geographical areas is spurring a revolution in large scale visual data analytics. Specifically, modern aerial wide area motion imagery (WAMI) platforms capture large high resolutio n at rates of 1-3 frames per second. The sequences of images, which individually span several square miles of ground area, represent rich spatio-termporal datasets that are key enablers for new applications. The effectiveness of such analytics can be enhanced by combining WAMI with alternative sources of rich geo-spatial information such as road maps or prior georegistered images. We present results from our recent research in this area covering three topics. First, we describe a novel method for pixel accurate, real-time registration of vector roadmaps to WAMI imagery based on moving vehicles in the scene. Next, we present a framework for tracking WAMI vehicles across multiple frames by using the registered roadmap and a new probabilistic framework that allows us to better estimate associations across multiple frames in a computationally tractable algorithm. Finally, in the third part, we highlight, how we can combine structure from motion and our proposed registration approach to obtain 3D georegistration for use in application such as change detection. We present results on multiple WAMI datasets, including nighttime infrared WAMI imagery, highlighting the effectiveness of the proposed methods through both visual and numerical comparisons. The talk particularly highlights how image processing and computer vision applications are a fertile ground for incorporating machine learning and data science methodologies

Biography: Gaurav Sharma is a professor at the Electrical and Computer Engineering Department at the University of Rochester, where, from 2008-2010, he also served as the Director for the Center for Emerging and Innovative Science (CEIS), a New York state funded center located at the University of Rochester chartered with promoting economic development through university-industry technology transfer. He received the PhD degree in Electrical and Computer engineering from North Carolina State University, Raleigh in 1996. From 1993 through 2003, he was with the Xerox Innovation group in Webster, NY, most recently in the position of Principal Scientist and Project Leader. His research interests include data analytics, cyber physical systems, signal and image processing, computer vision, and media security; areas in which he has 51 patents and has authored over a 190 journal and conference publications. He is the editor of the Digital Color Imaging Handbook published by CRC press in 2003. He is a member of the IEEE Publications, Products, and Services Board (PSPB) and chairs the IEEE Conference Publications Committee. From 2011 through 2015, he served as the Editor-in-Chief for the Journal of Electronic Imaging and has served as an associate editor for the Journal of Electronic Imaging, the IEEE Transactions on Image Processing, and for the IEEE Transactions on Information Forensics and Security. Dr. Sharma is a fellow of the IEEE, a fellow of SPIE, a fellow of the Society for Imaging Science and Technology (IS&T) and has been elected to Sigma Xi, Phi Kappa Phi, and Pi Mu Epsilon. In recognition of his research contributions, he received an IEEE Region I technical innovation award in 2008.

Nanowires and 2D Materials in Practice – Visibility, Doping and Device Investigation

Abstract: Starting from the first exfoliated graphene flakes in 2004, 2D materials have conquered a broad field of possible future applications. Among these, 2D material based circuits and sensors are very promising candidates for a contemporary industrial adoption. Nevertheless, there are many challenges to master before the goal of a profitable economic adjustment can be achieved. Therefore, the talk focuses on the possibility of a 2D material and nanowire assimilation that allows an analysis by the help of buried chip structures.

Prof. Klaus Kallis

Faculty of Electrical Engineering and Information

Technical University Dortmund


Biography: Biography Professor Klaus Kallis obtained his PhD in Electrical Engineering, summa cum laude, from Technical Univerity Dortmund, Germany in 2009. His PhD research focussed on MOS technology in the sub-100 nm-region. Presently,he is Head of technology, TU Dortmund University and represents Micro-and Nanotechnologies Group of Faculty of Electrical Engineering and Information Technology,TU, Dortmund University. Many of his research work has been accepted by industry. His research interests are in the area of 2D materials, nanophotonics and plasmonics.

Prof. Nan-Kuang Chen

Department of Electro-Optical Engineering

National United University

Miaoli,Taiwan 360

Cellular Dimensional Picoliter Microsensing in Fiber Optics

Abstract: In photonic applications, miniaturized fiber sensors at the length of 100 um scale have been found to helpful for ultra -tiny sample volume microsensing. Conventionally, the popular fiber-optic sensors are based on fiber Bragg gratings, long period gratings, Sagnac loop interferometers, Fabry-Perot interferometers,Michelson interferometers, and Mach-Zehnder interferometers. However, those interferometric sensors are usually with a device length of longer than a few centimeters, which is disadvantageous to achieve the high accuracy measurements for ultra-weak signals or tiny sample volume. In this talk, the fiber abrupt tapering technique is the fabrication method which breaks the adiabatic waveguiding in fiber core and transforms fractional power of the core mode into cladding modes will be introduced to achieve the miniaturized and integrated fiber components. By introducing two adjacent abrupt tapers in a highly Er/Yb codoped silica fiber using a focused CO2 laser beam to make micro Mach - Zehnder interferometer (MZI), the minimum device length achieved can be as short as 180 um. Fractio nal power of the core mode is coupled to excite the cladding modes through the first abrupt taper and the residual core mode and the excited cladding modes thus propagate through the different optical paths. The cladding modes and the core mode meet up at the second abrupt taper to produce interferences. The cladding modes can sense the ambient index variations of the external material coating at the phase shifter or at the abrupt tapers. This micro MZI can be used to detect the micro index variation of 0.002 under a 6.3 picoliter of liquid volume. In addition, the monolithic miniaturized Michelson interferometers based on core-cladding modes interferences for picoliter sample volume microsensing will also be introduced.

Biography: Nan-Kuang Chen received the Ph. D. degree from National Chiao Tung University, Taiwan, in 2006. From February 2014, he is a Professor with the Departmentof Electro-Optical Engineering,National United University, Taiwan. He has authored and co-authored more than 200 international SCI journal and conference articles. Heserved as reviewers for 41 prestigious SCI internationaljournals and also served on the International Advisory Committee/Technical Program Committee/Organizing Committeeand Session Chair/Reviewers for more than 80 times for many international conferences,delivered 22 invited talks in international conferences and organized two international conferences (IAPTC 2011 and IEEE/ICAIT 2013).He holds 14 ROC patents, 12 US patents, 1 Korea patent, and 4 PRC patents.His research interests also include micro optical forces(Van der Wall’sforceand evanescent attractive force) and its micro sensing applications, dispersion engineering technique,Cr3+-doped fiber amplifier, optical internet of things, large core high power fiber lasers, mode-locked femtosecond fiber lasers, andfiber-optic physics .

Creating Autonomous Vehicle Systems

Abstract: This talk is a technical overview of autonomous vehicles where we share our practical experiences of creating autonomous vehicle systems. Autonomous vehicle systems are complex, consisting of three major subsystems: algorithms for localization, perception, and planning and control; client systems, such as the robotics operating system and hardware platform; and the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map - plus, train better recognition, tracking, and decision models.

Jean-Luc Gaudiot

Professor, Department of Electrical Engineering and Computer Science, University of California - Irvine

Fellow, IEEE, 1999

Fellow, AAAS, 2007

2017 IEEE Computer Society President

Eta Kappa Nu, Honor Society of IEEE, Professional Member (inducted December 11, 2015)

Biography: Professor Jean-Luc Gaudiot received the Diplôme d'Ingénieur from the École Supérieure d'Ingénieurs en Electronique et Electrotechnique, Paris, France in 1976 and the M.S. and Ph.D. degrees in Computer Science from the University of California, Los Angeles in 1977 and 1982, respectively.

He is currently a Professor in the Electrical Engineering and Computer Science Department at the University of California, Irvine. He was Chair of the Department from 2003 to 2009. During his tenure, the department underwent significant changes. These include the hiring of twelve new faculty members (three senior professors) and the remarkable rise in the US News and World Report® rankings of the Computer Engineering program from 42 to 28 (46 to 36 for the Electrical Engineering program).

Prior to joining UCI in January 2002, he was a Professor of Electrical Engineering at the University of Southern California since 1982, where he served as Director of the Computer Engineering Division for three years. He has also designed distributed microprocessor systems at Teledyne Controls, Santa Monica, California (1979-1980) and performed research in innovative architectures at the TRW Technology Research Center, El Segundo, California (1980-1982). He frequently acts as consultant to companies that design high-performance computer architectures, and has served as an expert witness in patent infringement and product liability cases. His research interests include multithreaded architectures, fault-tolerant multiprocessors, and implementation of reconfigurable architectures. He has published over 200 journal and conference papers. His research has been sponsored by NSF, DoE, and DARPA, as well as a number of industrial organizations

From 2006 to 2009, he was the first Editor-in-Chief of the IEEE Computer Architecture Letters, a new publication of the IEEE Computer Society, which he helped found to the end of facilitating short, fast turnaround of fundamental ideas in the Computer Architecture domain. From 1999 to 2002, he was the Editor-in-Chief of the IEEE Transactions on Computers. In June 2001, he was elected chair of the IEEE Technical Committee on Computer Architecture, and re-elected in June 2003 for a second two-year term. In 2009, he was elected to the Board of Governors of the IEEE Computer Society for a 3-year-term. He was the Chair of the IEEE Computer Society Publications Board Transactions Operations Committee (2010-2011), the Chair of the IEEE Computer Society Publications Board Magazines Operations Committee in 2012, the IEEE Computer Society vice President, Educational Activities Board in 2013, and 2014-2015 IEEE Computer Society vice President, Publications Board. He is now the 2017 IEEE Computer Society President.

Dr. Gaudiot is a member of AAAS, ACM, and IEEE. He has also chaired the IFIP Working Group 10.3 (Concurrent Systems). He was co-General Chairman of the 1992 International Symposium on Computer Architecture, Program Committee Chairman of the 1993 IFIP Working Conference on Architectures and Compilation Techniques for Fine and Medium Grain Parallelism, the 1993 IEEE Symposium on Parallel and Distributed Processing (Systems Track), the 1995 Parallel Architectures and Compilation Techniques Conference (PACT ‘95), the High Performance Computer Architecture conference in 1999 (HPCA-5), and the 2005 International Parallel and Distributed Processing Symposium.

In 1999, he became a Fellow of the IEEE, "For Contributions to the Programmability and Reliability of Dataflow Architectures." He was elevated to the rank of AAAS Fellow in 2007, "For Distinguished Contributions to the Design and Analysis of Highly Efficient Multiprocessor and Memory System Architectures."

In his spare time, Dr. Gaudiot combines his passion for aviation with his love for teaching and he is an active flight instructor (both primary and instrument)

Prof. Supriyo Bandyopadhyay

Fellow of IEEE, APS, IoP, ECS and AAAS

Department of Electrical and Computer Engineering,

Virginia Commonwealth University, Richmond, VA 23284, USA

Image processing with Dipole-Coupled Multiferroic Nanomagnet Arrays

Abstract: Hardware-based image processing, without the involvement of any software, offers orders of magnitude improvement in speed and energy cost. In such paradigms, the image processing activity is elicited from interactions between passive devices, each encoding a pixel state, that are arranged in such a way as to perform specific image processing tasks. A 2-D periodic array of dipole-coupled elliptical magnetostrictive nanomagnets, delineated on a piezoelectric substrate, can execute a variety of image processing functions, such as image de-noising, image re-construction, pattern recognition and edge enhancement detection. Each nanomagnet has two stable magnetization states that encode pixel color (black or white). An image containing black and white pixels is first converted to corresponding voltage states (high and low) and then mapped into the magnetization states of the nanomagnets with magneto-tunneling junctions (MTJs). The same MTJs are employed to read out the processed pixel colors later. Dipole interaction between the nanomagnets ensures that when the system is perturbed/excited and then allowed to relax to the ground state, the final magnetization states of the nanomagnets (or, equivalently, the pixel colors) conform to the desired processed image. This is "physics-based processing" where the physics of the inter-nanomagnet interaction, rather than any software or instruction sets, accomplishes the processing function. In our case, the image processing activity is triggered by applying a global strain to the nanomagnets with a voltage dropped across the piezoelectric substrate. The strain perturbs the magnetization of the magnetostrictive nanomagnets taking them to an excited state. When the strain is removed, the magnetizations relax to the collective ground state and in the process assume configurations that correspond to processed pixels. An image containing an arbitrary number of black and white pixels can be processed in few nanoseconds with very low energy cost.

Biography: Prof. Supriyo Bandyopadhyay is Commonwealth Professor of Electrical and Computer Engineering at Virginia Commonwealth University, Richmond, Virginia, USA. He received a B. Tech degree in Electronics and Electrical Communications Engineering from the Indian Institute of Technology, Kharagpur, India; an M.S degree in Electrical Engineering from Southern Illinois University, Carbondale, Illinois; and a Ph.D. degree in Electrical Engineering from Purdue University, West Lafayette, Indiana. He spent one year as a Visiting Assistant Professor at Purdue University, West Lafayette, Indiana (1986-87) and then nine years as a faculty of University of Notre Dame. In 1996, he joined University of Nebraska-Lincoln as Professor of Electrical Engineering, and then in 2001, moved to Virginia Commonwealth University as a Professor of Electrical and Computer Engineering, with a courtesy appointment as Professor of Physics. His research interests include spintronics, straintronics, nanoelectronics, spin based quantum computing and classical logic circuits, spin transport in nanostructures, spin-based devices and general topics in spintronics. He directs the Quantum Device Laboratory in the Department of Electrical and Computer Engineering. Prof. Bandyopadhyay has authored and co-authored nearly 400 research publications and presented nearly 150 invited or keynote talks at conferences and colloquia/seminars across four continents. He is a Fellow of IEEE, APS, IoP, ECS and AAAS. Prof. Bandyopadhyay received the College of Engineering Research Award (1998), the College of Engineering Service Award (2000) and the Interdisciplinary Research Award (2001) given jointly by the College of Engineering, College of Science, and Institute of Agricultural and Natural Resources at University of Nebraska-Lincoln. At Virginia Commonwealth University, he was honored with the Distinguished Scholarship Award given annually to one faculty member in the University (2012). It is the highest award given by the University for scholarship. His department gave him the Lifetime Achievement Award for sustained contributions in research, education and service in 2015. In 2016, he was named Virginia's Outstanding Scientist by Governor Terence R. McAuliffe (one of two from across the State and encompassing all areas of physical science, life science, social science, technology, mathematics and medicine). That same year, his alma mater the Indian Institute of Technology, Kharagpur, gave him the Distinguished Alumnus Award. In 2017, Prof. Bandyopadhyay received the University Award of Excellence from Virginia Commonwealth University, which is the highest honor bestowed by the University on a faculty member.