Deep Learning Deployment: Challenges and Solutions
Abstract
Bharathi Yogaraj , Product lead at MathWorks , leads the Vision and Deep Learning HDL
group. Her team focuses on Vision IP development and deployment of Deep learning-based
vision applications onto FPGAs and SoCs.
Bharathi has a Bachelor's in Electronics and
Communication from JNNCE(VTU). Her research interests include optimized HDL design,
deep
learning deployment, image processing, and heterogeneous system integration. Prior
to
joining MathWorks, Bharathi worked at Uurmi Systems and Vrinda technologies,
primarily
focused on design and development of high-speed systems and HDL IPs for
communication
and vision applications.
Professional Background
Leads Vision and Deep Learning HDL group at MathWorks
Bachelor's in Electronics and Communication from JNNCE(VTU)
Expertise in HDL design and deep learning deployment
Previous experience at Uurmi Systems and Vrinda technologies
Vijender Busi Reddy
Scientist, ISRO
Research Focus
Deep Learning Applications in Remote Sensing
Abstract
Dr. Vijender Busi Reddy is a scientist at ISRO, specializing in deep learning applications for remote sensing images and security in wireless networks.
His work focuses on developing real-time object detection methods in remote sensing images and trust-based security models for Ad-Hoc wireless networks and IoT. He has made significant contributions to the field through his research and publications in prestigious journals and conferences, including IEEE and Inderscience. His expertise spans across artificial intelligence, network security, and Internet of Things, and he regularly shares his knowledge through lectures on security, AI, privacy, and IoT to trainees and faculty.
Professional Background
Scientist at ISRO since 2008
Ph.D. in Computer Science from University of Hyderabad (2018)
M.Tech from IIT Roorkee (2006)
IEEE Senior Member
Best Project Achievement Award, ISRO (2009)
Life Member of Astronomical Society of India (ASI)
Former Research Engineer at HP R&D Labs, Bangalore
Dr. Odelu Vanga
Assistant Professor (Grade-I)
Department of Computer Science and Engineering, IIIT Sri City, Andhra Pradesh
Research Focus
Cryptography, Network Security, Internet of Things, and Blockchain Technology
Profile
Dr. Odelu Vanga is a distinguished academic and researcher at IIIT Sri City, recognized among the World's Top 2% Scientists by Stanford University. His expertise spans theoretical computer science, cryptography, and network security, with significant contributions to academic research and development.
Dr. Vanga's academic journey reflects a remarkable commitment to excellence in computer science and mathematics. He completed his Ph.D. in Theoretical Computer Science, specializing in Cryptography and Network Security, from IIT Kharagpur, complemented by an M.Tech. in Computer Science and Data Processing from the same institution. His strong foundation in mathematics is evidenced by his M.Sc. in Applied Mathematics from Kakatiya University.
His professional trajectory includes prestigious positions at leading institutions. Prior to his current role at IIIT Sri City, he served as an Assistant Professor at BITS Pilani, Hyderabad Campus, and as a Research Professor at Korea University, South Korea. He also contributed to the Department of Mathematics at RGUKT, Basar.
In the realm of academic leadership, Dr. Vanga has served as the Organizing Chair of the International Conference on Mining Intelligence and Knowledge Exploration (MIKE-2019) and as Track Chair for Intelligent Security Systems (MIKE-2017 & 2018). His editorial contributions include serving as Guest Editor for the Topical Issue on Security and Privacy 2020 in SN Computer Science, Springer. He actively participates in the academic community as a reviewer for numerous SCI-indexed journals, including prestigious ACM/IEEE Transactions, and serves on Technical Program Committees for international conferences.
Distinguished Recognition
IEEE Senior Member (2022)
Listed in World's Top 2% Scientists Rankings by Stanford University (2022-Present)
Outstanding Young Foreign Scholar - Korean Research Fellowship (KRF-2017)
Outstanding Potential for Excellence in Research and Academics (OPERA) - BITS Pilani
GATE All India Fifth Rank (99.82 percentile) in Mathematics
CSIR-JRF in Mathematical Sciences (2008)
Published over 70 papers in international journals and conferences
Active reviewer for ACM/IEEE Transactions and international conferences
odelu.vanga@iiits.in
+91-73064 73364
Department of CSE, IIIT Sri City, Chittoor
Dr. Pawan Lingras
Professor, Department of Mathematics and Computing Science
Saint Mary's University, Halifax, Nova Scotia, Canada
Director, Master of Science in Computing and Data Analytics Program
Research Areas
Data Mining, Artificial Intelligence, Machine Learning, Big Data, Wearable Technology, Image Processing, Intelligent Transportation Systems, Evolutionary Algorithms
Profile
Dr. Pawan Lingras is a distinguished academic with extensive experience in computing science and data analytics. His research and teaching have significantly impacted the field of computer science and data analytics, earning him multiple prestigious awards and grants.