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Dr. Sunil Kumar Vuppala

Director - Data Science at Ericsson

Bangalore, India

Demonstrated thought leader in AI in the industry with 16+ years of Industrial and Research experience in Machine Learning, Deep Learning, Analytics, Automation, IoT, Healthcare, Telecom and Smart Grid. Dr. Sunil Kumar Vuppala is the Director – Data Science, Ericsson Global AI Accelerator (GAIA), Bangalore. Sunil worked in Oracle, Infosys R&D and Philips Research before joining Ericsson.

Sunil is a lead inventor of 20+ patents (6 granted and 14+ pending applications). He has published more than 30 papers in both international journals and conferences. He is a senior member of ACM and IEEE and Fellow of IETE. Featured among the Top 10 data scientists in India and 40 under 40 data scientists in 2019 by Analytics India Magazine. As Co-chair of industry engagement in IEEE Bangalore section and visiting faculty at Great Lakes, INSOFE, he has taught AI and analytics (100s of lectures) and inspired thousands of working professionals and students to take to the data science field. Regular speaker in the top AI forums with 30+ tech talks / keynotes across India, Europe and US in last 3 years.

Actively leading and contributing to emerging AI technologies including Explainable AI, Edge AI, Trusted AI, Synthetic image generation using GANs, Autonomous image acquisition with AI and Visual intelligence from drone images, scalable telecom grade reliable/performant models for prediction of network issues with root cause analysis from terabytes of data for large telco operators in the world.

Sunil received B.Tech (CSE) from JNTU, Hyderabad in 2002 and M.Tech (IT) from IIT Roorkee in 2004 and Ph.D. (IT) from IIIT Bangalore in 2018. He completed his Senior Management Program (SMP) from IIM Ahmedabad in 2019.

Available For: Authoring, Influencing, Speaking
Travels From: Bangalore, India
Speaking Topics: Machine Learning, Trusted AI, Edge AI

Dr. Sunil Kumar VuppalaPoints
Academic120
Author11
Influencer16
Speaker43
Entrepreneur830
Total1020

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Company
Business Unit: Global AI Accelerator
Last Media Interview: 01/23/2020

Areas of Expertise

5G 31.48
Agile
AI 100
Analytics 100
Big Data 33.22
Business Strategy
Cloud 33.74
COVID19
Cybersecurity 30.51
Digital Disruption 39.55
Digital Transformation 30.78
Edtech 47.16
Emerging Technology 100
Healthtech 82.50
Innovation 40.32
IoT 100
Leadership 32.80
Management
Predictive Analytics 30.76
Startups
Sustainability

Industry Experience

Healthcare
High Tech & Electronics
Other
Retail
Telecommunications

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Publications

1 Academic Award
Eminent Alumni
GEC
June 30, 2017
Recognized as eminent Alumni from Gudlavalleru Engineering college, India

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Tags: AI, Emerging Technology, Innovation

1 Academic Certification
Senior Management Program
IIMA
July 11, 2019
Completed one year Senior Management Program. Covered all the modules of general management - Strategy, Economics, Information Systems, Operations and supply management, Marketing, Organization Behavior, Risk management and finance markets, Negotiation and Law, Finance Management, Human Resource Management, Ethics, Corporate Governance, Communication with ~100 cases and a Capstone project.

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Tags: Digital Transformation, Digital Disruption, Leadership

2 Academic Fellow / Scholars
Fellow IETE
IETE
August 31, 2018
Became Fellow of IETE for contributions in IoT, AI and analytics

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Tags: AI, Analytics, IoT

PhD
IIITB
July 08, 2018
PhD from IIITB in Information Technology

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Tags: AI, Innovation, IoT

2 Adjunct Professors
Visiting Professor
INSOFE
January 01, 2019
Teaching Deep learning, Machine Learning and advanced AI topics for working professionals and fresh graduates.

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Tags: AI, Edtech, Emerging Technology

Adjunct Professor at Great Lakes
Great Lakes
January 01, 2018
Visiting professor position at Great Lakes and Great Learning

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Tags: AI, Cloud, Emerging Technology

1 Article/Blog
DS4Covid-19: What Problems to solve with Data Science amid Covid-19 ?
Medium / TowardsDataScience
May 01, 2020
Covered what Problems to solve with Data Science amid Covid-19 with the data links covering more than 40 set of problems across numerical, text, image and speech data

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Tags: AI, Emerging Technology, Innovation

5 Board Memberships
Board of Studies Member
GEC
January 01, 2020
Board of Studies Member

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Tags: AI, Edtech, Emerging Technology

Board of Studies Member of CS department
Gudlavalleru Engineering college, CSE Department
January 01, 2020
Board of Studies Member of CS department

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Tags: AI, Edtech, Emerging Technology

Co-chair of Industry Engagement
IEEE
January 01, 2020
IEEE Bangalore section Execom member and Co chair of Industry engagement

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Tags: AI, Emerging Technology, Leadership

CSI Bangalore section Managing committee member
CSI
January 01, 2019
MANAGING COMMITTEE MEMBER of CSI Bangalore section

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Tags: AI, Emerging Technology, Leadership

Governing Body Member
Engineering College
June 01, 2012
Governing Body member to improve the research and start up eco system in engineering college (GEC)

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Tags: AI, Analytics, Innovation

3 Conference Publications
Handling Optimization in Large Scale Energy Management with Hierarchical Approach
INFORMS 2018
November 07, 2018
Presentation on Handling Optimization in Large Scale Energy Management with Hierarchical Approach at INFORMS 2018 in USA
https://www.abstractsonline.com/pp8/#!/4701/session/2023

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Tags: AI, Analytics, Innovation

Cloud based big data platform for image analytics
IEEE
April 09, 2018
"Cloud based big data platform for image analytics", 6th IEEE International Conference on Cloud Computing in Emerging Markets (CCEM 2017), Nov 2017 Best Paper Award paper

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Tags: AI, Big Data, Cloud

IWCMSE: Integrated Water Consumption Monitoring Solution for Enterprises
ACM
October 31, 2014
"IWCMSE: Integrated Water Consumption Monitoring Solution for Enterprises", International Conference on Interdisciplinary Advances in Applied Computing (ICONIAAC14). Best paper award paper

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Tags: Analytics, Innovation, IoT

1 eBook
Power Line Communication: Past, Present and Future and Smart Grid
CMOS Emerging Technologies
February 10, 2012
"Power Line Communication: Past, Present and Future and Smart Grid" book chapter in e book "Power Line Communication Technologies for Smart Grids, Smart Cars, and Smart Homes" [Kindle Edition] by CMOS Emerging Technologies, 1 edition (10 Feb 2012) ASIN: B0077Y03MC.

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Tags: AI, Emerging Technology, IoT

2 Industry Awards
Top 10 Data Scientist in India 2019
Analytics India Magazine
October 08, 2019
Awarded as Top 10 data scientist in India 2019 for contributions in Data science and impact created in the business

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Tags: AI, Analytics, Emerging Technology

40 under 40 data scientists in 2019
Analytics India Magazine
January 31, 2019
Bagged an award of 40 under 40 data scientists in 2019 for the contribution in building Automation and AI platforms and Explainable AI.

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Tags: AI, Analytics, Big Data

1 Influencer Award
Best Paper Award in IEEE CCEM
IEEE
November 30, 2017
Received best paper award for “Cloud based big data platform for image analytics" work in IEEE CCEM 2017 conference.

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Tags: AI, Big Data, Cloud

2 IP Assets
AI driven medical imaging
Intel
August 31, 2018
Built an IP asset powered by Intel and Philips as part of Health Suite Insights. 30X improvement for a segmentation model inferencing and 180X for inferencing of classification models

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Tags: AI, Healthtech, IoT

Mana - Automation and AI platform
Infosys
April 28, 2016
Infosys Mana - Automation and AI platform platform. Contributed as architect of Infosys Automation Platform

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Tags: AI, Emerging Technology, Innovation

2 Journal Publications
An Adaptive Data Aggregation Algorithm in Wireless Sensor Network with Bursty Source
Wireless Sensor Network by Scientific Research
June 30, 2009
Kumar PADMANABH, Sunil Kumar VUPPALA, "An Adaptive Data Aggregation Algorithm in Wireless Sensor Network with Bursty Source", International Journal on Wireless Sensor
Networks, Oct 2009 Volume 1 Number 3, pp.222-232.

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Tags: Analytics, Emerging Technology, IoT

DDoS: Design, implementation and analysis of automated model
Inderscience
May 28, 2007
Tupakula U.K., Varadharajan V., Gajam A.K, Vuppala S.K, Srinivasa Rao P.N. "DDoS: Design,
implementation and analysis of automated model", International Journal of Wireless and
Mobile Computing, Vol. 2, No. 1, 2007 pp.72-85.

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Tags: Cybersecurity, Innovation, IoT

7 Keynotes
Explainable deep learning with applications in healthcare
Analytics India Magazine CYPHER-2018
September 28, 2020
Covered Explainable deep learning approaches of activation map, deconvolution and Grad-CAM along with applications in healthcare in the keynote at Cypher-2018

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Tags: AI, Emerging Technology, Healthtech

Research problems in Big data and Data Science
Youtube
May 19, 2020
Research problems in Big data and Data Science

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Tags: AI, Big Data, Innovation

Are we ready for AI DevOps?
IEEE
January 07, 2020
The talk will highlight the challenges in the adoption/deployment of ML/DL models, and certain use-cases from Telecom industry in this regard. It will also cover the PLASTER framework. Finally, it will sensitize and leave the the audience with key takeaways and important factors to be considered while designing and deploying DL based solutions.

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Tags: AI, Emerging Technology, Innovation

AI ML Transformation journey in Telecom
Analytics Vidhya
November 14, 2019
AI ML Transformation journey in Telecom

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Tags: 5G, AI, Digital Transformation

Accelerate inference for deep learning models
Analytics India Magazine
February 13, 2019
Accelerate inference for deep learning models

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Tags: AI, Innovation, IoT

Synthetic Class Specific Medical Image Generation using GANs
Analytics Vidhya
November 23, 2018
Synthetic Class Specific Medical Image Generation using GANs

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Tags: AI, Emerging Technology, Healthtech

Deep learning feature visualization
Analytics Vidhya
November 09, 2017
VISUALIZATION OF LEARNING AND LOCALIZATION IN CONVOLUTIONAL NEURAL NETWORKS

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Tags: AI, Digital Transformation, Emerging Technology

4 Media Interviews
Interview of Sunil as Director at Ericsson Global AI Accelerator at MLDS2020
Analytics India Magazine
March 07, 2020
Interview of Sunil as Director at Ericsson Global AI Accelerator at MLDS2020

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Tags: 5G, AI, Predictive Analytics

Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran
Analytics Vidhya
October 23, 2019
Exclusive Interview with Dr. Sunil Kumar Vuppala – A Deep Learning Expert and IoT Veteran

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Tags: AI, Emerging Technology, IoT

AI and blockchain at the edge event
IEEE
June 17, 2019
IEEE event conducted on AI and blockchain at the edge. Sunil was a host and panelist

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Tags: 5G, AI, Predictive Analytics

Deeper Insights with Sunil Kumar Vuppala of Philips Research at #Cypher2018
Analytics India Magazine
April 15, 2019

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Tags: AI, Healthtech, Innovation

1 Panel
Panel Discussion – Advantages and Applications of GANs
Analytics Vidhya
November 23, 2018
Panel Discussion – Advantages and Applications of GANs

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Tags: AI, Emerging Technology, Predictive Analytics

15 Patents
MEDICAL IMAGING OF MULTIPLE PATIENTS
WIPO
July 22, 2020
3682802 - Patient throughput in diagnostic imaging is key, and may be increased by simultaneous preparation, scanning, and removal of multiple patients from the same scanner. Accordingly, wide-bore imaging apparatuses, systems, and an associated method, computer program element, and computer readable media are proposed that can exploit the property of accommodating at least two patients simultaneously whilst adapting the image acquisition configuration of the scanner to enable a higher rate of patient imaging.

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Tags: AI, Emerging Technology, Innovation

STRESS SUPPORT SYSTEM
WIPO
July 08, 2020
The present invention relates to diagnostic imaging. In order to provide an improved, efficient, and/or fast procedure for adapting the physical stress during diagnostic imaging, a stress support system is provided. The stress support system comprises a stress determination device and at least one stress inducing device with a support device and a control device. The support device is attachable to a patient and configured to apply a physical stress to a body part of the patient. The stress determination device is configured to determine a required stress level for a medical scan of the body part. The control device is configured to modify the support device to adjust the applied physical stress to the required stress level.

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Tags: AI, Emerging Technology, Innovation

INTELLIGENT AUTONOMOUS PATIENT ROUTING FOR SCANS
WIPO IP Portal
June 05, 2020
The present invention relates to patient routing. In order to provide a more efficient patient flow for autonomous image acquisition, a method is provided for controlling a patient transfer apparatus within a healthcare facility. The method comprises the following steps: providing a routing information for transferring the patient transfer apparatus to a required location; controlling the patient transfer apparatus to move on a first guided path according to the provided routing information; detecting at least one of a vital sign and an abnormal movement of the patient during a transit of the patient transfer apparatus; evaluating a patient condition based on at least one of the detected vital sign and the detected abnormal movement of the patient; updating the routing information in response to the evaluated patient condition, if the evaluated patient condition meets a predefined criterion; and controlling the patient transfer apparatus to move on a second guided path according to the updated routing information during the transit of the patient transfer apparatus.

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Tags: AI, Digital Disruption, Emerging Technology

SYSTEM AND METHOD FOR SENSOR POSITIONING AND PLACEMENT FOR A SENSOR
World Intellectual Property Organization
April 16, 2020
WO2020074510
SYSTEM AND METHOD FOR SENSOR POSITIONING AND PLACEMENT FOR A SENSOR

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Tags: AI, Emerging Technology, IoT

X-RAY IMAGING SYSTEM WITH FOREIGN OBJECT REDUCTION
World Intellectual Property Organization
April 02, 2020
WO2020064588 X-RAY IMAGING SYSTEM WITH FOREIGN OBJECT REDUCTION

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Tags: AI, Healthtech, IoT

PERSONALIZED RECOMMENDATIONS FOR HEALTH MANAGEMENT
European Patent Application
November 14, 2019
The present disclosure discloses method and personalized recommendation system for providing personalized recommendation for health management. The personalized recommendation system receives information on medical history, one or more available lifestyle parameters of a first type of plurality of lifestyle parameters and one or more available vital parameters of a first type of plurality of vital parameters, associated with subject and estimates at least one of, one or more non-available lifestyle parameters of a second, different type and one or more non-available vital parameters of a second, different type based on at least one of, one or more available vital parameters of the first type and one or more available lifestyle parameters of the first type, using Neural Network (NN) model trained to identify correlations between the plurality of lifestyle parameters and the plurality of vital parameters and to identify correlations between the parameters and medications and medicine dosage levels. The personalized recommendation system predicts medicine dosage level, changes to be made in lifestyle parameters, indication to visit clinician and details on interaction between medications based on received information and estimation using trained NN model and provides personalized recommendation to at least one of subject and clinician associated with subject based on prediction.

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Tags: AI, Digital Disruption, Emerging Technology

PAIN REDUCTION DURING PATIENT TRANSFER
World Intellectual Property Organization
November 12, 2019
WO2020099346 - PAIN REDUCTION DURING PATIENT TRANSFER

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Tags: AI, Emerging Technology, Healthtech

APPARATUS FOR DISPLAYING PATIENT PAIN INFORMATION
World Intellectual Property Organization
July 25, 2019
WO2020025432 - APPARATUS FOR DISPLAYING PATIENT PAIN INFORMATION

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Tags: AI, Emerging Technology, IoT

System and method for locally optimized managing of network appliances in a closed area network
US Granted Patent
February 14, 2017
System and method for locally optimized managing of network appliances in a closed area network

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Tags: Digital Disruption, Emerging Technology, IoT

System and method for locally managing network appliances in a closed area network via a gateway device
US Granted Patent
September 13, 2016
A system, medium and method of managing, via a gateway device, to wirelessly communicate with a plurality of network appliances in a closed local area network is disclosed. A data message is received from a first network appliance configured to communicate data in association with a first application profile. The first application profile is retrieved from a locally stored application profile database upon being identified. A database is accessed at the gateway device containing policy information of the first network appliance and evaluated for one or more policy parameters. A first instruction command is generated at the gateway device based on the accessed policy information, wherein the instruction command conforms with the first application profile to instruct the first network appliance to perform a specified action. The instruction command is wirelessly transmitted from the gateway device to the first network appliance to cause it to perform a specified action.

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Tags: Emerging Technology, Innovation, IoT

Method and system for adaptive aggregation of data in a wireless sensor network
US Granted Patent 8873438
October 28, 2014
A method and system for adaptive aggregation of data in a Wireless Sensor Network (WSN) is disclosed. The method receiving one or more packets produced from a plurality of sensor nodes at an aggregator sensor node. The method further includes categorizing and storing the received packets in the buffer queue of the aggregator node. Then initiating an aggregation process by selecting an aggregation mechanism. The aggregation mechanism is selected based on the feedback value and a special instruction. The aggregated packets are forwarded to the base station based on an aggregation function.

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Tags: Analytics, Emerging Technology, IoT

Systems and methods for effective selection of disparate distributed power sources for smart grid
US Granted Patent
September 23, 2014
Systems and methods for effective selection of disparate distributed power sources for smart grid

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Tags: Analytics, Emerging Technology, IoT

DYNAMIC ENFORCEMENT OF POWER MANAGEMENT POLICY AND METHODS THEREOF
US Patent Application 20140052304
February 20, 2014
Systems and methods are disclosed for a policy-based, power consumption management of resources. Power consumption data is relayed to an event management system for conducting a pattern analysis of the resources based on historical values and external factors. The event management system may provide a graphical interface for implement decisions pertaining to resource management and effective policy enforcements. The energy management system is further configured to communicate with a data layer to receive measured values.

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Tags: AI, Emerging Technology, IoT

Method and system for creating a virtual wireless sensor network
US Granted Patent 8649298
February 11, 2014
A method for creating a virtual Wireless Sensor Network (WSN) is disclosed. The method includes extracting one or more niceties of a physical WSN and embedding at least one of the extracted niceties in a soft object to represent one or more sensor nodes of the physical WSN. The method includes, sending equivalent command to the one or more sensor nodes of the physical WSN, when one or more changes are performed on corresponding niceties of the soft object. Further, the method adding or deleting one or more niceties corresponding to the one or more sensor nodes from the soft object upon ingress or egress of the one or more sensor nodes in the physical WSN. The method also includes steps of building application using the soft object of the virtual WSN.

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Tags: Analytics, Emerging Technology, IoT

System and method for real time theft detection
US Granted Patent 8427319
April 23, 2013
A method for tracking one or more portable devices in real time to detect theft of the one or more portable devices is provided. The method enables, firstly, interrogating a Radio Frequency Identification (RFID) tag via a RFID reader during successive sweep intervals. The sweep interval represents active state of the RFID reader. Secondly, the method enables receiving one or more pairing information from the RFID tag. Further, the method enables comparing the one or more pairing information with corresponding one or more pairing information stored in the RFID reader. Finally, the method enables generating an alert signal via the wearable-band or the one or more portable devices when the one or more pairing information does not match with the corresponding one or more pairing information stored in the RFID reader.

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Tags: AI, Emerging Technology, IoT

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Dr. Sunil Kumar Vuppala