Home / Emerging Research Topics in Engineering (ERTE) – 2021

Emerging Research Topics in Engineering (ERTE) – 2021

About ERTE 2021

“Emerging Research Topics in Engineering (ERTE)” is the flagship event of IEEE Gujarat Section. This year event is scheduled on October 1-2-3, 2021 in virtual mode with the theme of  “Explainable AI (XAI)”. The event is aimed to encourage young researchers, PhD scholars, Master students, early career professionals and faculty members to learn the state-of-the-art of emerging and challenging research areas from eminent speakers around the globe. This may help participants to discover their career path and direct them to identify their own research topics and problem statements.

 

About IEEE Gujarat Section

IEEE Gujarat Section (https://ieeegujaratsection.org/)  (registered u/s 80G) comes under Asia-Pacific Region, the Region 10 of IEEE. The Section is currently equipped with 29 student branches, 10 society chapters and 2 council chapters and three Affinity Groups. The Section continually engages in conducting quality technical events, expert talks, meetings and volunteer development programs.

 

Theme: Explainable AI (XAI)

Mode: Online (Virtual Event)

Dates: October 1-2-3, 2021

Target audience: IEEE members/ Non-IEEE members/ Industry Professionals / Academia / Young Researchers/

  • General Chair
    • Maniklal Das
  • Program Chair
    • Kiran Amin
    • Chirag Paunwala
  • Organizing Chair
    • Ashish Phophalia
    • Harshul Yagnik
  • Organizing Committee:
    • Ankit Dave
    • Satvik Khara
    • Foram Rajdev
    • Sumit Makwana

Dr. Soma Dhavala
Principal Researcher at Wadhwani AI, Banglore, India

LinkedIn: https://www.linkedin.com/in/somasdhavala/
Google Scholar: https://scholar.google.com/citations?user=Rkh1zb8AAAAJ&hl=en

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Dr. Soma Dhavala is Principal Researcher at Wadhwani AI, Banglore, India. He is Founder of mlsquare.org and co-founder of Vital Ticks Pvt. Ltd. He has vast experience in research at companies like ilimi.in, Dow Agrosciences, GE global Research and volunteering as teacher at Purnapramati, Banglore. He did his PhD in statistics at Texas A&M University from 2005 to 2010, M.S. in Electrical Engineering from Indian Institute of Technology, Madras from 1997 to 2000, B. S. in Electronics Communication from Andhra University.

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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 Computational Intelligence and Machine Vision (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, LiDAR (Light Detection and Ranging), and SAR (Synthetic Aperture Radar) sensors. Dr. Asari’s research activities also include development of novel algorithms for 3D scene creation and visualization from 2D video streams, automatic visibility improvement of images captured in various weather conditions, human identification, 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, M Tech and PhD degrees in Electrical Engineering from the Indian Institute of Technology, Madras in 1984 and 1994 respectively. Prior to joining UD 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 holds four patents and has published more than 700 research papers, including an edited book on wide area surveillance and 118 peer-reviewed journal papers in the areas of computer vision, image processing, pattern recognition, and machine learning. Dr. Asari has supervised 30 PhD dissertations and 45 MS theses during the last 20 years. Currently several graduate students are working with him in different sponsored research projects. Dr. Asari is participating in several federal and private funded research projects and he has so far managed around $25M research funding.  Dr. Asari received several awards for teaching, research, advising and technical leadership. He is an elected Fellow of SPIE and a Senior Member of IEEE, and a co-organizer of several SPIE and IEEE conferences and workshops.

Dr. Vineeth N Balasubramanian
Professor, IIT Hyderabad, India

LinkedIn: https://www.linkedin.com/in/vineethnb/
Google Scholar: https://scholar.google.com/citations?user=7soDcboAAAAJ&hl=en

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Dr. Vineeth N Balasubramanian is Associate Professor, Department of Computer Science and Engineering, Head, Department of Artificial Intelligence, Indian Institute of Technology, Hyderabad. He was associated with Arizona State University in various teaching and research roles and served Oracle as an Application Engineer. He did his PhD in Computer Science at Arizona State University from 2005 to 2010, M. Tech in Computer Science and M.Sc. in Mathematics at Shri Sathya Sai Institute of Higher Learning from 2001 to 2003 and 1999 to 2001 respectively.

Dr. Arash Shaban-Nejad
Director of Population Health Intelligence (PopHI) Lab
Center for Biomedical Informatics, Department of Pediatrics, College of Medicine
University of Tennessee Health Science Center, Memphis, TN, USA

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Bio. Arash Shaban-Nejad is the Director of Population Health Intelligence (PopHI) lab and an Associate Professor in the UTHSC-OAK-Ridge National Lab (ORNL) Center for Biomedical Informatics, and the Department of Pediatrics at the University of Tennessee Health Science Center (UTHSC). Before coming to UTHSC, he was a Postdoctoral Fellow of the McGill Clinical and Health Informatics Group at McGill University. Dr. Shaban-Nejad received his Ph.D. and MSc in Computer Science from Concordia University (AI and Bioinformatics), Montreal, and Master of Public Health (MPH) from the University of California, Berkeley. Additional training was received at the Harvard School of Public Health. His primary research interest is Population Health Intelligence, Precision Health and Medicine, Epidemiologic Surveillance, Semantic Analytics and Explainable Medicine using tools and techniques from Artificial Intelligence, Knowledge Representation, Semantic Web, and Data Science. His research has been supported by several research grants from Canada Institute for Health Research (CIHR), National Institute of Health (NIH)/National Cancer Institute (NCI), the Gates Foundation, Microsoft Research, and Memphis Research Consortium (MRC).

Vijay Arya
Senior Researcher at IBM India Research Lab (IRL), Bangalore

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Vijay Arya is a Senior Researcher at IBM Research India and part of IBM Research AI group where he works on problems related to Trusted AI. Vijay has 15 years of combined experience in research and software development. His research work spans Machine learning, Energy & smart grids, network measurements & modeling, wireless networks, algorithms, and optimization. His work has received Outstanding Technical Achievement Awards, Research Division awards, & Invention Plateau Awards at IBM, and has been deployed by power utilities in the USA. Before joining IBM, Vijay worked as a researcher at National ICT Australia (NICTA) and received his PhD in Computer Science from INRIA, France, and a Masters from Indian Institute of Technology (IIT) Delhi. He has served on the program committees of IEEE, ACM, and IFIP conferences, he is a senior member of IEEE & ACM, and has more than 60 conference & journal publications and patents.

Jay Shah
Research Scholar, Arizona State University

Home Page: public.asu.edu/~jgshah1/

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Jay is a Ph.D. student at Arizona State University supervised by Dr. Teresa Wu and Dr. Baoxin Li. Drawing upon the realms of biomedical informatics, computer vision, and deep learning, his research interests are in developing novel and Interpretable AI models for biomarker discovery and early detection of neurodegenerative diseases including Alzheimer’s and Post Traumatic Headache. Prior to pursuing a Ph.D., he worked with Nobel Laureate Frank Wilczek, interned at NTU-Singapore, HackerRank-Bangalore, and graduated from DAIICT, India. Jay also hosts an AI podcast (80,000+ downloads) where he has invited Professors, Scientists, Reporters, and Engineers working on different realms of research and applications of Machine Learning.

Dr. Rajul Jain

Sr. Product Marketing Manager at Microsoft

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Rajul is a Sr Product Marketing Manager at Microsoft. In the four years at Microsoft, Rajul led Insights and Analytics across several business areas including Predictive Analytics and Data Science for the Commercial Business, and later, Product Marketing Research for Browser (Edge), Search (Bing) and Content Services. Prior to BigTech, Rajul was an Associate Professor at DePaul University, Chicago and ran a predictive analytics consulting. Rajul holds a Ph.D. in Mass Communication, M.A. in International Business, and M.A. in Public Relations from the University of Florida (Go Gators!) and M.Tech. in Computer Science from India.

Leveraging AI to Drive Customer Experience

Microsoft implemented a solution that combines highly actionable findings at scale with human-like precision of automated text coding with strong explanatory power. A big learning: AI will not drive impact when not combined with human intelligence. The implemented solution not only delivers deeper, more actionable insights in a scalable way, but also provides the option to reduce survey time. We found that its automated text categorization can predict overall satisfaction even better than quantitative driver questions. The presentation will show that, first we need a thoughtful approach to NLP text analytics to achieve a coding with acceptable (human equivalent) accuracy. Second, we need a flexible machine learning technique to meaningfully understand the impact of themes. In the presentation, we will also talk about our approach to converge business intelligence with automated text analytics techniques to provide an easy to use and effective solution to drive action. We will highlight specific points that make clear that CX analytics systems are mainly not just a data science exercise.

Will be updated soon!

Participant Category Registration Fee #
IEEE Student Members * 300 /- INR
IEEE Professional Members * 300/ – INR
Non-IEEE 500/ – INR

#Registration fee includes GST.
*Upload valid IEEE membership card

Mode of Payment: NEFT or IMPS or UPI

Registration Link: Click here to Register

Registration Account Details
Bank Account Name: IEEE Gujarat Section
Bank Account Number: 10307643269
Bank Name: State Bank of India
Bank Branch: SBI,  Infocity Branch
Address : Gr Floor, Infocity, Gandhinagar
Branch code: 012700
IFSC Code: SBIN0012700
MICR Code: 380002151

Digital version of the participation certificate will be provided to every participant.

For any queries contact: Harshul Yagnik, Email: ieeegujaratsec@gmail.com, Mobile: +91-9737642757