2nd INternational Workshop on unmanned Aerial VEhicles (IN-WAVE 2)

August 7th,2023 - August 9th,2023

Keynote Speaker

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Shri S. K. Ray
Distinguished Scientist and Former Director, RCI, Hyderabad

Shri S.K. Ray, Distinguished Scientist (Retd) & Former Director, Research Centre lmarat (RCI) has more than four decades of immense expertise in Missile Control and Guidance Design and has made pioneering contributions to Indian Missile programmes. His sustained efforts paved the way for indigenous design and development of advanced weapon systems and Avionics technologies. His in-depth knowledge of Systems,Mission Computers,Control Actuation technologies and Power systems have been transformative for conceptualisation and successful demonstration of Prithvi,Agni series of Missiles, Akash and other advanced strategic and tactical missile. His phenomenal R&D contributions paved the way for in-house development of state-of -the-art technologies and bolstered the self-reliance in mission critical avionics systems.

In recognition of his distinguished life time contributions to Missiles and Aerospace Systems, the DRDO Life Time Achievement Award 2019 is conferred on Shri S.K. Ray.

Abstract: “I’m preparing above lectures in a popular way so that non control audience will be able to follow.I will commence with basic dynamics of copter drone.”.
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Prof. Ismail Guvenc
NC STATE UNIVERSITY

Ismail Guvenc is a Professor at the Department of Electrical and Computer Engineering at NC State University. His recent research interests include 5G/6G wireless networks, UAV communications, millimeter/terahertz communications, and heterogeneous networks. He has published more than 300 conference/journal papers and book chapters, several standardization contributions, four books, and over 30 U.S. patents. Dr. Guvenc is the PI and the director for the NSF AERPAW project and a site director for the NSF BWAC I/UCRC center. He is an IEEE Fellow, a senior member of the National Academy of Inventors, and a recipient of several awards, including the NC State Alcoa Distinguished Engineering Research Award (2023), University Faculty Scholar Award (2021), R. Ray Bennett Faculty Fellow Award (2019), FIU COE Faculty Research Award (2016), NSF CAREER Award (2015), Ralph E. Powe Junior Faculty Award (2014), and USF Outstanding Dissertation Award (2006).

Abstract: Aerial Experimentation and Research Platform for Advanced Wireless (AERPAW) is one of the four PAWR projects funded by the National Science Foundation in the United States. AERPAW supports large-scale outdoor advanced wireless experiments with autonomous unmanned aerial and ground vehicles (UAVs/UGVs) and it is accessible to the broader research community. Users of AERPAW have the opportunity to design and rapidly prototype next-generation wireless technologies, systems, and applications in both emulated and real-world environments. This talk will review the overall scope, and existing outdoor infrastructure including eight dedicated fixed nodes (towers, rooftop nodes, and a light pole) and their capabilities, as well as future plans for the AERPAW project. We will describe various different experimentation possibilities involving software-defined radios, a commercial Ericsson 4G/5G network, RF sensors from Keysight, and a smart agriculture system with various LoRa gateways and sensors, all of them interacting with autonomous UAVs and UGVs in a large-scale outdoor environment. We will overview our digital twin that allows AERPAW users to exclusively design their outdoor experiments in a containerized virtual environment. We will also provide various examples of the experiments that have been conducted on the platform since AERPAW declared general availability in November 2021.
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Prof. Monisha Ghosh
Univ. of Notre Dame

Monisha Ghosh is a Professor of Electrical Engineering at the University of Notre Dame and a member of the Notre Dame Wireless Institute. She is also the Policy Outreach Director for SpectrumX, the first NSF Center for Spectrum Innovation and the co-chair of the FCC’s Technological Advisory Council (TAC) Working Group on Advanced Spectrum Sharing. Her research interests are in the development of next generation wireless systems: cellular, Wi-Fi and IoT, with an emphasis on spectrum sharing and coexistence and applications of machine learning to improve network performance. Prior to joining the University of Notre Dame in 2022, she was the Chief Technology Officer at the Federal Communications Commission, a Program Director at the National Science Foundation, Research Professor at the University of Chicago and spent 24 years in industry research at Bell Labs, Philips Research and Interdigital working on a wide variety of wireless systems: HDTV, Wi-Fi, TV White Spaces and cellular. She obtained her B.Tech from IIT Kharagpur in 1986 and Ph.D. from USC in 1991. She is a Fellow of the IEEE.

Abstract: In response to the growing applications depending on networked UAS services, the US Federal Communications Commission (FCC) recently issued a Notice of Proposed Rulemaking (NPRM) seeking to allocate 5030 - 5091 MHz for licensed UAS operations. A dedicated allocation would enable the development of critical services that require beyond visible line of sight control. This talk will discuss the proposed spectrum allocation and new applications and services that could result from such networks..
Abstract: Unmanned Aerial Vehicles (UAVs) have become increasingly significant in diverse applications, prompting the integration of computer vision techniques to enhance their capabilities. This talk will provide an overview of UAV applications, emphasizing the pivotal role of computer vision and discussing the unique challenges encountered in UAV-based vision. Subsequently, the issue of severe size imbalance in drone-based aerial object detection is explored, along with an intriguing solution. We will then shift the focus to drone-to-drone detection, highlighting its importance in surveillance, collision avoidance, and swarm coordination. The talk will discuss the distinctive challenges involved, such as dynamic drone movements, occlusions, and real-time processing requirements. Finally, the critical aspect of lightweight models for UAV applications will be discussed, considering the limited onboard resources.
Abstract:To regulate the integrity of buildings and determine vulnerability to earthquakes, parameters such as finding the height of the building, slope of the ground base etc. are calculated by civil engineers during building inspection. Despite the technological advancements in this sector, this is predominantly a manual process. To automate the assessment process, we capture data via a Unmanned Aerial Vehicle (UAV) platform equipped with a camera and other sensors. We provide an overview of computer vision approaches developed to accurately estimate building structure attributes by fusing image data and data from other sensors onboard the UAV.
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Harikumar Kandath
IIIT Hyderabad

Abstract: Here we discuss two applications of UAV. The first one is on infrastructure assessment, where we provide an automated pipeline to quantify some of the parameters associated with a building through images captured from a camera mounted on a UAV. This involves data collection and subsequent software modules for extracting the required information. The second application discusses achieving the objective of tracking a moving target by a UAV. This involves sensing, target trajectory estimation and UAV trajectory control.
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Dr. Ranga Srinivas Gunti
General Manager,
Head – Talent Development at Tata Passenger Electric Mobility (TPEM), Tata Motors

Dr. Ranga Srinivas Gunti is General Manager, Head – Talent Development at Tata Passenger Electric Mobility (TPEM), Tata Motors. He is responsible for creating Talent Development Strategies, frame-works and processes for capability building pertaining to e-mobility. He received his Ph.D. from IISc Bangalore, Centre for Product Design and Manufacturing and done post-graduation from IIT Kharagpur. In the past he worked for various Automotive, Farm and Marine industries and has over 21 years of Research & Product Development experience. Delivered various High- Impact Business Projects pertaining to Auto and Farm Product Development. His research areas include Computer Aided Engineering (CAE) in Product Design, Data Science in Product Design (Automotive Product Development), Multi-disciplinary Design Optimization (MDO), Automotive Systems Engineering, Automotive Safety and Impact Engineering, Cyber-security, IC Engines, Electric Vehicles and Bio-Medical Implants. His work presented in Public Domain include - 42 peer reviewed journal/technical papers (in SAE, ASME, IMechE, Taylor and Francis, Elsevier, and Begell House publications), 12 international conference publications, 6 Book Chapters, Two US Patents and 100+ Invited Talks.He received more than 7 best performer awards and a patent award for his contribution in the areas of new Product Design and Development. In his previous roles, he was responsible for developing various vehicle and powertrain systems and sub-systems (Vehicle Level CAE Analysis for lightweighting and design optimization, development of engine ratings, design and development of gear-train and combustion systems) for Automotive, Farm and Marine applications. In the past, he was responsible for developing Frameworks, Technical Case Studies on Product Development, Processes for Functional Capability Building and Assessments (Auto, Farm and Powertrain) at Mahindra Research Valley. Presently, in-addition to his current role at Tata Motors, he also teaches Industry Specific Case Studies on Data Science and AI applied to Mobility Engineering@Virginia Tech India - Adjunct Faculty (Honorary). He is currently guiding few Ph.D and MSc - Research Students (IIT Madras) in the areas of Automotive Lightweighting and Data Science applied to Product Development.

Abstract: The work discusses, an Model Based Systems Engineering Approach (MBSE) based approach for designing complex UAV Systems that are designed for performing Precision Farming use-cases.
A system level UAV model is developed in Modelon ( A commercially available systems modelling and simulation software ) using Open Source Modelica libraries.
Advanced deep-learning based computer vision algorithms are deployed for performing various precision farming operations with an objective to improve the farm quality and yield.
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Prof. Rajalakshmi
Professor - IIT Hyderabad, India

Dr. P Rajalakshmi, is Professor in the Department of Electrical Engineering, IIT Hyderabad, which she joined in 2009. Her research is in the area of Drone based sensing, wireless communications, Internet of Things, Cyber Physical Systems targeting applications like agriculture, transportation – aerial and terrestrial, healthcare, environmental monitoring and smart buildings. She has been handling R&D projects as PI/co-PI, funded by industry and Government of India in these areas. She is also the Project Director of DST NMICPS Technology Innovation Hub on Autonomous Navigations Foundation (TiHAN) at IITH. Along with fundamental theoretical research in IoT/CPS about wireless communications, low- complex signal processing algorithms, sensor development, she also emphasize on translational research which involves development of minimum viable and user beneficial products. Out of her research activities, she has filed 10 patents, published over 30 Journals and 100 conference peer-reviewed papers. She is awarded Young Faculty Research Fellowship under Visvesvaraya PhD Programme starting January 2016 for a period of 5 years, ‘Digital Trail Blazer Award 2016’ by India Today at National Level and in Telangana state, best paper/poster Awards in reputed conference. She is a Member of CII Telangana Digital Transformation and IT Panel since August 2018. She is a mentor for Start-up company (SKIoT) incubated at IITH, founded by 2 PhD students from her lab.

Abstract: To be given.
To be updated
Mr. N. Venkatesh
Silicon Labs, Hyderabad

Abstract: To be given.