Keynote Address
Topic: "Wide Area Aerial Surveillance for Situation Awareness and Security Automation"
Topic: "The Evolution of WiFi: From Fighting Microwaves To The Internet of Things"
Professor in Electrical and Computer Engineering, University of Dayton
Dr. Vijayan K. Asari is a Professor in Electrical and Computer Engineering and Ohio Research Scholars Endowed Chair in Wide Area Surveillance at the University of Dayton, Dayton, Ohio, USA. He is the director of the Center of Excellence for Computer Vision and Wide Area Surveillance Research (Vision Lab) at UD.
As leaders in innovation and algorithm development, UD Vision Lab specializes in object detection, recognition and tracking in wide area surveillance imagery captured by visible, infrared, thermal, hyperspectral, and LiDAR (Light Detection and Ranging) sensors. Dr. Asari's research activities also include 3D scene creation from 2D video streams, 3D scene change detection, automatic visibility improvement of images captured in various weather conditions, human identification by face recognition, human action and activity recognition, and brain signal analysis for emotion recognition and brain machine interface.
Dr. Asari received his BS in electronics and communication engineering from the University of Kerala, India in 1978, and M Tech and PhD degrees in Electrical Engineering from the Indian Institute of Technology, Madras in 1984 and 1994 respectively. Prior to joining the University of Dayton in February 2010, Dr. Asari worked as Professor in Electrical and Computer Engineering at Old Dominion University, Norfolk, Virginia for 10 years. Dr. Asari worked at National University of Singapore during 1996-98 and led a research team for the development of a vision-guided micro-robotic endoscopy system. He also worked at Nanyang Technological University, Singapore during 1998-2000 and led the computer vision and image processing related research activities in the Center for High Performance Embedded Systems at NTU. Dr. Asari had been working as Assistant Professor in electronics and communications at TKM College of Engineering, Kollam until he left for Singapore in 1996.
Dr. Asari holds three United States patents and has published more than 500 research articles including an edited book in wide area surveillance and 85 peer-reviewed journal papers in the areas of image processing, pattern recognition, machine learning, neural networks and high performance embedded systems. Dr. Asari has supervised 22 PhD dissertations and 35 MS theses during the last 15 years. Currently several graduate students are working with him in different sponsored research projects. He has been participating in various federal and private funded research projects and he has so far managed around $16M research funding. Dr. Asari received several teaching, research, advising and technical leadership awards. He is a Senior Member of IEEE and SPIE, and member of several international societies including the IEEE Computational Intelligence Society and Society for Imaging Science and Technology. Dr. Asari is a co-organizer of several SPIE and IEEE conferences and workshops.
Homepage: http://sites.udayton.edu/vasari1
Professor,Electronics and Communication Engineering Dept.
N.I.T., Tiruchirappalli
Dr.S.Raghavan is a senior Professor in Electronics and Communication Engineering Department, National Institute of Technology (N.I.T.), Trichy and has 33 years of teaching and Research experience. His interest includes Microwave Integrated Circuits, RF MEMS, BioMEMS, Metamaterial and Microwave Engineering. Proud research scholar of Prof.Bharathi Bhat and Prof.SK Koul, CARE, IIT Delhi, has established state of the art Microwave Integrated Circuit and Microwave Laboratory in N.I.T., Trichy with the help of Govt.Of India funding. Won Best Teacher award twice and conferred with Honorary Fellowship of Ancient Sciences and Archaeological Society of India, Short time visiting Fellow in California State University, North Ridge, USA. Awarded to conduct Tutorial in APEMC 2010, Beijing, China. Organizing Chair of ‘Indian Antenna Week 2014’, Chandigarh. Invited to be a session chair in PIERS 2013 symposium Taipei, Taiwan. Hs to his credit 80 research papers in International Journals, 70 in IEEExplore, 130 International conferences, 26 National conferences. Guided more than 8 Ph.D.scholars. Senior Member/Fellow in more than 20 international and national Professional Societies including IEEE, IEI, IETE, CSI, TSI.Organized various workshops of national importance. Has contributed lot in the development of state of the art Library and Hospital in NIT T. Was President of R.E.C.,Trichy. Faculty association for 2 years. Made an impact in MICROWAVE ENGINEERING EDUCATION among student community at large.
Senior Hardware Engineer, Hughes Network Systems, Germantown,Maryland, USA
Krishnaraj M. Varma completed his undergraduate degree in Applied Electronics & Instrumentation Engineering from College of Engineering, Trivandrum, University of Kerala (1997), followed by a Masters degree in the field of audio array processing from Virginia Tech (2002) and a PhD in the field of image processing and compression from Virginia Tech (2006). Since completing his PhD he has worked for over 10 years in the industry designing baseband modem chips for satellite communications (Hughes Network Systems LLC.) and WiFi (Qualcomm Inc.). His interests and expertise are in the areas of signal-processing, receiver design, hardware architectures for signal-processing algorithms, statistical modeling of receivers, satellite communications, WiFi, science and engineering education etc. His non- professional interests are in travel and food.
Publications
1. K. Varma, H. B. Damecharla, A. E. Bell, J. E. Carletta, G. V. Back, "A Fast JPEG2000 Encoder That Preserves Coding Efficiency: The Split Arithmetic Encoder", IEEE Trans. Circuits and Systems-I, Vol. 55, No. 11, Dec 2008.
2. K. Varma, “Fast Split Arithmetic Encoder Architectures and Perceptual Coding Methods for Enhanced JPEG2000 Performance", PhD Dissertation, Virginia Tech, 2006. http://scholar.lib.vt.edu/theses/available/etd-03272006-120450/
3. K. Varma, and A. Bell, "JPEG2000: Choices and Tradeoffs for encoders", IEEE Signal Processing Magazine, Vol. 21, No. 6, November 2004.
4. K. Varma, and A. Bell, "Improving JPEG2000’s perceptual performance with weights based on both contrast sensitivity and standard deviation", Proc. IEEE Int. Conf. Acoustics Speech and Signal Processing (ICASSP), May 2004.
5. K. Varma, “Time-delay estimates based direction of arrival estimation of speech in reverberant environments”, Masters Thesis, Virginia Tech, Oct, 2002 http://scholar.lib.vt.edu/theses/available/etd-10302002-220938/
6. K. Varma, T. Ikuma, and A. A. Beex, "Robust TDE-based DOA estimation for compact audio arrays", Sensor Array and Multichannel Signal Proc. Workshop (SAM), August 2002.
Patents
1. K. Varma, T. Huang, X. Wu, “Method and apparatus for parallel demodulation of high symbol rate data streams in a communications system”, US Patent No. 9178683, Nov 2015.
2. K. Varma, T. Huang, S. Bhat, “Method and apparatus for synchronization of data and error samples in a communications system”, US Patent No. 8929501, Jan 2015.
Solutions Architect, Telecommunications
Raja is a Telecommunications Professional with extensive industry experience and expertise in all phases of project lifecycle from Software Development, Solution Architecture, System Engineering, Proof-of-Concept Technology Trials; to Project Planning, Management & Execution for Mobile Communication systems. Raja is currently working as a Solutions Architect and leading the SmallCell/WiFi deployment in AsiaPacific/Japan and involved in Cloud/Network Virualization Solution Architecture projects.
Raja was with Nokia Siemens Networks, where he conducted an LTE trial which won a commercial contract with Bharti AirTel in India. He was also the Technical lead for several new Technology Trials and deployments for operators like Vodafone, TTSL and Videocon. Prior to NSN, he was with Motorola in Singapore for 17 years, where he started as Engineering Lead for Maxis’s first GSM and MobileOne / Telekom Malaysia’s CDMA Network Deployments. He was then the regional Core Engineering Manager, leading a skilled and motivated Regional core Engineering Team for Pre Sales Solutions Support / Post Sales Technical support for all new and emerging technologies (NGN /3G/ IMS / WiMAX / LTE etc), especially IP / Applications related portfolio. He envisioned and established a Seamless Mobility Center of Excellence to showcase next generation technologies, including live demonstrations at several industry conferences.
During the first years of his career, he developed GSM mobile phone Software for PCI/Institute of Micro Electronics, one of the leading Research Institutes in Singapore and also developed X.25 /X.75 based wide area data network system in addition to its real-time operating system, at Switching R&D of ITI Ltd, Bangalore, India.
Raja received his Bachelor’s degree in Mechanical Engineering from PSG Tech and Master’s degree in Computer Science from Indian Institute of Science, Bangalore, and has published research papers in International journals.
Senior Chief Engineer, Samsung R&D Institute,Bangalore
Dr. Sriram N. Kizhakkemadam leads the research on cellular communications in Advanced Technology Labs (ATL) at Samsung R&D Institute Bangalore. His team works on providing enhanced solutions for LTE Networks and devices including high performance Application Layer Error Correcting Codes for Multicast (eMBMS), Transport solutions for millimeter-wave networks, Distributed Scheduling for License Assisted Access Small Cells etc. His team at ATL has also developed a 3GPP calibrated System Level Simulator for LTE. Dr. Kizhakkemadam earned a Ph.D from Southern Methodist University and an M.S. from Pennsylvania State University.
ABSTRACT
Wide area surveillance refers to an automated monitoring process that involves data acquisition, analysis, and interpretation for understanding object behaviors. Automated surveillance systems are mostly used for military, law enforcement, and commercial applications. Intelligent visual surveillance is also becoming more popular in applications such as human identification, activity recognition, behavior analysis, anomaly detection, alarming, etc. The rapidly growing field of wide area surveillance involves data acquisition and processing of video captured from long range and wide viewing angle sensors. Aircrafts, many times unmanned, flying at very high altitude capture high resolution data of the ground below. Today’s camera technology can capture frames with Giga-pixel resolution at a rate of 60 frames per second. As camera capabilities continue to improve, higher resolution data will be captured at faster rates. The data is captured from high altitudes and therefore that may cover hundreds of square miles within its field of view.
Detection, tracking, and identification of moving objects in a wide area surveillance environment have been an active research area in the past few decades. Object motion analysis and interpretation are integral components for activity monitoring and situational awareness. Real- time performance of these data analysis tasks in a very wide field of view is an important need for monitoring in security and law enforcement applications. Although huge strides have been made in the field of computer vision related to technology development for automatic monitoring systems, there is a need for robust algorithms that can perform detections of objects and individuals in a surveillance environment. This is mainly because of certain constraints such as partial occlusions of the body, heavily crowded scenes where objects are very close to each other, etc. We present a robust automated system which can detect and identify people by automated face recognition in a surveillance environment and track their actions and activities by a spatio-temporal feature tracking mechanism.
Research in autonomous detection of machinery threats on oil and gas pipeline right-of- ways (ROWs) in wide area imagery is an important task to protect our pipeline infrastructure. A great amount of effort is required for human analysts to identify threats manually in thousands of images captured by small aircrafts or Unmanned Aerial Vehicles (UAVs). Therefore, there is a need for a full-fledged intrusion detection system to automate this process. In order to provide robust monitoring of threats or intrusions to pipeline ROWs, the technology should be capable of addressing the challenges due to image resolution, sensor noise, lighting conditions, partial occlusions, and various heights and viewing angles between the objects and sensors. We present an automatic object detection system that can detect potential threat objects on pipeline ROWs to aid the human analysts for threat evaluation and subsequent actions. Our real-time automated airborne monitoring system can detect, recognize, and locate machinery threats such as construction equipment entering the pipeline ROWs.
ABSTRACT
Planar Antenna which has the advantages of low profile, compatibility with integrated circuit technology and conformability is the solution for the requirements of many applications. Planar antennas find usage in military applications such as aircraft, missiles,rockets, commercial areas such as mobile satellite communications, the Direct Broadcast Satellite (DBS) system, global pos ition system (GPS), Health care, remote sensing etc. The back bone of planar antennas is planar transmission line. Planar transmission lines include Stripline, Microstrip, Slot line, coplanar waveguide, coplanar strips, Fin line and Substrate Integrated Waveguide. The lecture topic includes the ‘essentials of planar transmission lines’, ‘design fundamentals of planar antennas’ and the ‘transmission line analysis approach’.
ABSTRACT
With the advent of ubiquitous, always connected, personal devices, WiFi has become the network of choice for a large cross-section of users. WiFi provides high throughputs to a large number of connected devices at little or zero recurring costs on top of the cost of WAN. The talk will cover the evolution of WiFi from its early days in the 2GHz unlicensed spectrum to its present form. Particular attention will be paid on the latest draft standard (802.11-AX) and at the general principles that are used to design physical-layer air-interface standards.
ABSTRACT
Mobile Technology has evolved from 2G to 3G to 4G to provide download speeds of 150 Mbps in LTE and still evolving to provide speed up to 1Gbps and much more in 5G. Network Architecture has evolved from hierarchical to flat IP architecture. Cloud Computing model has inspired similar architectures of NFV and SDN in telecom network. NFV decouples software implementations of Network Functions from the compute, storage, and networking resources through a virtualisation layer. This talk will focus on technology evolution and how network virtualisation simplifies the implementation and operation of network, to provide almost unlimited scalability and agility that in turn, enables network operators to become digital service providers.
ABSTRACT
Cellular transmission was primarily aimed at providing reliable communication with mobility in the licensed spectrum. With increasing data usage, the 3GPP has now standardized the access of unlicensed spectrum by using enhancements to existing LTE technology. LTE in the unlicensed band currently has various flavors: LAA (License Assisted Access), LTE-U (LTE-Unlicensed), LWA (LTE Wi-Fi Aggregation) & LWIP (LTE WLAN Aggregation with IPSec Tunnel). In this talk, we delve in to the relative merits and challenges of each of these new access mechanisms and its relevance with regard to the upcoming millimeter wave based 5G transmission techniques.