IEEE CCEM 2023

Twelfth IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING IN EMERGING MARKETS

2nd - 4th November 2023

Venue: Amrita Vishwa Vidyapeetham University, Mysore













Invited Speakers


Shri. M.D.Ranganath
Shri. M.D.Ranganath,

Chairman and MD Catamaran Ventures

Chief Guest and Keynote Speaker


Prof. Ram Ramesh
Prof. Ram Ramesh

Professor SUNY at Buffalo, NY,USA

Keynote Speaker


Pragya Sharma
Pragya Sharma

Managing Director, Hybrid Data & AI , Accenture

Keynote Speaker


Prof. H. Raghav Rao
Prof. H. Raghav Rao

AT&T Distinguished Chair in Infrastructure Assurance and Security, University of Texas at San Antonio (UTSA)

Keynote Speaker


Dr. Sheela Siddappa
Dr. Sheela Siddappa

Director, Data Science, Kyndryl

Keynote Speaker


Mr. Rushi Mehta
Mr. Rushi Mehta

Senior Consultant,Indian Cyber Crime Coordination Center,Govt of India

Keynote Speaker


Mr. Venkatesh Narayanan
Mr. Venkatesh Narayanan

Principal Engineering Manager,Microsoft

Keynote Speaker


Mr. Ravi Trivedi
Mr. Ravi Trivedi

Managing Director, Digital Agriculture at The/Nudge Institute

Keynote Speaker


Mr. Naveen Gopalakrishna
Mr. Naveen Gopalakrishna

Technical Specialist, AI Applications

Invited Speaker


Mr. Prabhu Stavarmath


Mr. Prabhu Stavarmath

Entrepreneur enabling SmartBharat through Bharat Pi

Invited Speaker


CCEM Overview

Conference Scope

The Twelfth IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) continues the highly successful CCEM conference series which was originally launched in 2012.

Cloud computing has emerged as a dominant and transformational paradigm in information technology over the last few years and is beginning to effect a multitude of industries such as government, finance, telecommunications, education, retail, energy and utilities, and transportation. Research in this field has become very active and spans a number of areas including virtualization, networking, storage, security, management of cloud services, efficient cloud architectures, massive multi-tenancy, and design of cloud applications and services. Cloud computing continues to be the way of the future and many studies indicate that more than 50% of all information technology will be in this new paradigm within the next five to ten years. This transformation has great implications for emerging markets which have the potential to leap frog mature markets in their adoption of cloud computing, combine cloud computing and mobile technologies to introduce unique services that can transform the lives of billions, drive a much larger scale of adoption and challenge existing price points, while presenting unique challenges in areas such as security and user interfaces to cloud computing.

The goal

This research driven innovation conference has established itself as a unique conference that combines top notch peer-reviewed research papers (acceptance rate less than 10%), invited talks from renowned industry and government leaders, posters and demos showcasing latest innovations, a startup showcase highlighting the vibrant and fast growing business ecosystem around cloud, tutorials on cutting edge topics, and a doctoral symposium featuring some of the deep research topics being pursued by academic leaders.

Conference Format

The conference will be a Three-day event that spans invited talks, peer reviewed paper presentations, tutorials,technology showcase followed by panel discussion.

 

Topics of Interest

We invite both paper and demo submissions on relevant topics, including but not limited to:

  • Design of Cloud Computing services, especially for emerging markets – infrastructure, platform, database, software, network, storage, e-governance, and business process
  • Utilizing/enhancing the Cloud for Big data & Predictive analytics
  • Social & Mobile computing advances leveraging the Cloud
  • Internet of Things enabled by Cloud, Big Data & AI
  • Big Data Analytics & AI driven predictive computing
  • Intersection of Cloud with Cognitive Computing and Artificial Intelligence
  • Deep Learning in Cloud Environments
  • Conversational AI & Multimodal Interactions
  • AI Infused Automation
  • Advances in virtualization of hardware & software services, Cloud Networking
  • Security, privacy, governance, and compliance management in cloud
  • DevOps, Monitoring, management, & maintenance in Cloud Computing environments
  • Performance optimization in Hybrid Cloud Environments
  • Cloud Computing Solutions for different Industries & verticals
  • Legal Aspects & Service Level Agreements in Cloud Computing & Data Privacy

Important Dates for Pre Conference Workshop - 2023

10th September 2023

Abstract Submission Date

22nd September 2023

Full Paper Submission Date

01st October 2023

Notification of Acceptance Date

15th October 2023

Final Paper Submission Date

2nd - 4th November 2023

IEEE CCEM Main Conference


CCEM 2023

Program schedule will be announce soon!

Program content goes here




Invited Speakers

Speakers List Coming Soon!!







2019 IEEE CCEM Award Winners
2019 Event Gallery

IEEE CCEM 2022 Pre Conference Workshop Award winners


1. CCEM 2022 - Best Proposal - Early Stage Research Paper Submissions

Aiswarya Sriram, Advithi Nair, Alka Simon, Subramaniam Kalambur and Dinkar Sitaram

2. CCEM 2022 - Best Proposal - TechnoBizPlan Showcase Submission

Roshan Wathore, Sijoy Joseph and A Vaidyanathan

3. CCEM 2022 - Best Student Project Showcase

Thrivikraman V, Animesh N D and Taran Singhania








IEEE CCEM 2023
CCEM 2023 Call for Submissions
2022 IEEE CCEM
List of previous events

IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING IN EMERGING MARKETS

IEEE CCEM Conference-2023

Venue: Amrita University, Mysore

Call for Technical Research Papers, Student Project Showcase & TechnoBizPlan Showcase Proposals, and Industry Advancement Demos

Overview

The Twelfth edition of the IEEE International Conference on Cloud Computing in Emerging Markets (CCEM) offers an ideal platform for innovators, researchers and students on Cloud computing and its associated technology areas and applications - these have emerged as a dominant and transformational paradigm influencing many institutions and industry-sectors such as Health, Governance, Banking, Finance, Telecommunications, Education, Retail, Energy, Utilities, and Transportation. Innovations in this spans a number of areas including virtualization, networking, storage, security, management of cloud services – hybrid & on-premise, efficient interoperable cloud architectures, as well as design of cloud applications and services. This transformation has great implications for emerging markets & Nations, in their adoption of cloud computing, combine cloud computing, social media and mobile technologies to introduce unique services that can transform the lives of billions, drive much larger scale of adoption & challenge existing price points, while presenting unique challenges in areas such as security, data privacy and user interfaces to cloud computing.

This highly focused IEEE CCEM-2023 is targeted at potential participants planning to submit their research papers, techno-business plan showcase (with VC Elevator pitch Competition) or student-project-showcase (with proof-of-concepts competition). We encourage proposal submissions for innovative cloud-based-systems in the world of BigData, AI, ML/DL & IoT that address emerging market problems as well as solutions from it for the World. The conference participants, if selected based on their submission, get an opportunity to present their ideas and obtain professional feedback as well as mentoring in an encouraging and nurturing environment. Certificates and cash awards will be given for the three most innovative proposals submitted across these three areas viz., (1) Research-paper (2) Student- Project Showcase and Technobiz-plan Showcase.

Topics of Interest in this Conference include Technologies & applications with Cloud/Big Data/AI/Deep Learning/IoT, both for & from Emerging Markets:

  • Design of Cloud Computing services, especially for emerging markets – infrastructure, platform, database, software, network, storage, e-governance, and business process.
  • Utilizing/enhancing the Cloud for Big data & Predictive analytics.
  • Social & Mobile computing advances leveraging the Cloud.
  • Internet of Things enabled by Cloud, Big Data & AI.
  • Big Data Analytics & AI driven predictive computing.
  • Intersection of Cloud with Cognitive Computing and Artificial Intelligence.
  • Deep Learning in Cloud Environments.
  • Conversational AI & Multimodal Interactions.
  • Advances in virtualization of hardware & software services, Cloud Networking.
  • Security, privacy, governance, and compliance management in cloud.
  • DevOps, Monitoring, management, & maintenance in Cloud Computing environments.
  • Performance optimization in Hybrid Cloud Environments.
  • Cloud Computing Solutions for different Industries & verticals.
  • Legal Aspects & Service Level Agreements in Cloud Computing & Data Privacy.

Additionally, the areas of path-breaking innovative application interest include:

  • Affordable Healthcare: Eco-systems, Devices Management, e-Health Data, e-Health Networks.
  • Swachha Bharat: Clean & Green Environments & Spaces.
  • Leveraging IndiaStack & digital payment solutions.
  • Smart cities - Intelligent management of Resources, Healthcare, Security, Amenities, Education, Infrastructure Transportation, Energy & Civil services Management.
  • Affordable Security and Privacy of data in the cloud, sensor networks and IoT.
  • Intelligent Automation of IT Systems & Processes.

Template for IEEE CCEM Research Papers, TechnoBiz Plans & Proposals (Mandatory Sections)

IEEE CCEM Research Papers
8 Pages Max 		IEEE CCEM Student Project Showcase Proposals
3 Pages Max 		IEEE CCEM TechnoBizPlan Showcase Proposals
3 Page Max
Title (One Line only) & Author Names with, Email Ids & Company/College Name & URL Title (One Line only) & Author Names with, Email Ids & Company/College Name & URL Title (One Line only) & Author Names with, Email Ids & Company/College Name & URL
Abstract: 100 words / Two Paragraphs Synopsis – 100 Words / Two Paragraphs Abstract -100 Words / Two Paragraphs
Introduction Research Claims What is in scope & what is not in scope
Related Work Related Work Related Work
Theoretical Framework Theoretical Framework Demo Overview
Architecture, Design & Modeling Architecture, Design & Modeling Architecture & Business modeling
Experimentations & Data Analysis with discussions Experimentations & Data Analysis with discussions Experimentations & Market Data Analysis with discussions
Conclusions & Validation of Claims Conclusions & Validation of Claims Conclusions & Validation of Claims
References cited References cited References cited

Call for Technical Research Papers:

We invite Research papers submissions on all topics relevant to Cloud Computing in Emerging Markets as listed above. Papers should typically include a clear description of the problem being addressed, overview of and comparison to related work, the theoretical framework/model proposed by the authors, experimentation details and the experimental results, and conclusions. Papers will be reviewed by an international program committee which will ensure that only high-quality papers with originality and novelty are accepted for presentation in the conference.

The Papers can be either
  • A full research paper of maximum 8 pages with complete and substantial research outcomes.
  • A short research paper of 5 pages that is complete but discussing a limited contribution.

The short paper track also provides authors to present good engineering work or negative results that will otherwise not qualify to meet the stringent guidelines of a full research paper.

Please submit your Technical Research Papers throgh Microsoft CMT for CCEM 2023 Submit

Please follow the paper/proposal template mandatorily as mentioned in the above template. The selected full and short research papers will be published as part of the conference proceedings which can be indexed through IEEE Xplore. The conference will publicly announce the following awards.

Call for TechnoBizPlan Showcase Proposals:

The TechnoBizPlan-Showcase session at CCEM enables start-up companies, established companies, professionals,Students (from Management/Engineering/Non-Engineering Schools or Colleges), and faculties to demonstrate their cutting-edge capabilities and ideas in the field of cloud computing which can be incubated into product and/or service offerings. The CCEM Conference has showcased innovative technologies in previous years as well and these sessions have been very interactive with the conference audience that has also included reputed venture capitalists. TechnoBizPlan proposals should typically include:

  • An overview of the technology innovations being leveraged
  • Top use cases for the innovation & product/service offerings,
  • Comparison to competing technologies and alternatives, market analysis, financials, risk assessment & mitigation
  • link to a three minute or less uploaded YouTube video demo.

Please follow the paper/proposal template mandatorily as given in the website. The top two submissions will have an opportunity to present an elevator pitch before the conference participants. The reviewed and accepted proposals will get an opportunity to present their ideas to the Review Committee which would be drawn from Academia, Industry and Venture Capitalists. The best pitch will win the "12th IEEE CCEM 2023 TechnoBizPlan Competition Award". A short but substantial 3 page write-up as per template above of the accepted TechnoBiz plans will be published to be part of the "12th IEEE CCEM 2023 Conference Proceedings-B", and will be published on our website.

Please submit your Technical Research Papers throgh Microsoft CMT for CCEM 2023 Submit

Call for Student Project Showcase Proposals:

The Student-Project-Showcase offers an opportunity for under-graduate and graduate students to do more constructive academic projects to analyze how cloud computing can be leveraged to assuage problems of emerging markets. Reviewed and accepted proposals will have a dedicated space for presentations and demonstrations. The CCEM Conference has showcased innovative technologies implemented by students in their projects in previous years as well and these sessions have been very interactive with the conference audience. The submission paper should have at least one Professor/Mentor from their college/university, who would have guided them, and should typically include the following:

  • An overview of the technology innovations being leveraged,
  • Top use cases for the innovations
  • Comparison to competing technologies and alternatives, architecture, design, and implementation challenges
  • URL of maximum three minutes YouTube video
The submission paper should be maximum three pages ( using IEEE Manuscript Templates , A4 size and English) with:
  1. One line Title (capturing the essence of the project)
  2. Student Author names, affiliations and email ids
  3. Professor/Mentor name, affiliations and email ids
  4. Following sections should be included:
    • Abstract: 100 words / Two Paragraphs
    • Introduction and related work: comparing competing technologies and problem statements
    • Solution approach: technology Innovation and use-case scenario
    • Implementation details
    • Results
  5. References
  6. URL of maximum three minutes YouTube video presenting the project

Please submit your Technical Research Papers throgh Microsoft CMT for CCEM 2023 Submit

Mentors of IEEE CCEM 2023:

Dr. T. S. Mohan, Pragyan Datalabs Bengaluru
Dr. Gopal Pingali, Accenture
Prof. D. Janakiram, Institute for Development and Research in Banking Technology (IDRBT)
Dr. Sreekrishnan Venkiteswaran, Kyndryl India
Raj Tumuluri, OpenStream, USA
Dr. Sanjay Chitnis, RV University
Dr. K.V. Subramaniam, AMD
Rambabu Parvatina, IBM, Singapore
Dr. M Subramanya Sarma, Mindtree
Sridhar Chitaraju, Kyndryl
Dr.Mydhili K Nair, Professor, MSRIT
Dr Sekhar Babu, Amrita University
Balu Masti, Co-Founder HUM Consulting Services & Ex Intel
Dr. Sridhar Domnal, Cloud Consultant at Accenture
Gopalakrishnan Balasubramanian, Program Director, Kyndryl
Dr. Sougata Mukherjea, IIT Delhi
Dr. Rajath Vasudevamurthy, B. M. S. College of Engineering
Dr. Peter, Program Director, Reliance Jio
Dr. Abhishek Kumar, Senior Member IEEE ,IEEE Brand Ambassador
Prof. P Radha Krishna, National Institute of Technology, Warangal
Dr.-Ing. habil. Josef Spillner, ZHAW School of Engineering, Switzerland
Prof. Takayuki Kushida, School of Computer Science, Tokyo University of Technology, Japan
Dr. Manish Gupta, Kyndryl

REGISTRATIONS

Early bird registrations until 2nd October 2023.

  • Atlest one Author of selected paper need to register

CCEM 2023 Organizing Committee

CCEM 2023 Steering Committee

  • Dr. Gopal Pingali, MD & Global Hybrid Cloud Leader, Accenture
  • Dr. T.S. Mohan, Pragyan Datalabs
  • Dr. Sreekrishnan Venkateswaran, Kyndryl
  • Raj Tumuluri, Openstream, USA

CCEM 2023 General Chairs

  • Dr. K V Subramaniam, AMD
  • Prof. Shekar Babu, Associate Dean, Amrita Vishwa Vidyapeetham, Mysuru.
  • Prof. H. Raghav Rao, AT&T Distinguished Chair in Infrastructure Assurance and Security, University of Texas at San Antonio (UTSA)
  • Prof. Ram Ramesh Professor, SUNY at Buffalo, NY,USA

Technical Program Committee Chairs

  • Dr. Maja Vuković, IBM Fellow,New York US
  • Dr. Josef Spillner, Zhaw School of Engineering, Switzerland
  • Dr. Takayuki Kushida, School of Computer Science, Tokyo University of Technology, Japan
  • Dr. Priya Govindarajan, Amrita Vishwa Vidyapeetham, Mysuru

Industry Liaison Chair

  • Sri Chandra, IEEE

Academic Liaison Chairs

  • Dr. Pethuru Raj, RJIL
  • Sudhakar Nagaraja, Kyndryl

TechnoBizplan showcase Chair

  • Prof. Shekar Babu, Associate Dean, Amrita Vishwa Vidyapeetham, Mysuru
  • Dr. Mahesh R Assistant Professor Amrita Vishwa Vidyapeetham, Mysuru

Student Project Showcase Chairs

  • Dr.Mydhili Nair, Professor, RV University, Bengaluru.
  • Mr. Akshay S Assistant Professor Amrita Vishwa Vidyapeetham, Mysuru
  • Dr. Subrahmanya Sarma, Infosys.
  • Prof Sudarshan, PES South Campus

Tutorials Chairs

  • Dr. K V Subramaniam, AMD

Publications Chair

  • Dr. Shridhar Domanal
  • Dr. N. Shobarani Associate Professor Amrita Vishwa Vidyapeetham, Mysuru
  • Dr. Narendran S M Assistant Professor Amrita Vishwa Vidyapeetham, Mysuru

Keynote Speaker Chair

  • Dr. Sanjay Chitnis RV University
  • Prof. Raghu Rao

Program Management Committee

  • Dr. Manohar N Assistant Professor Amrita Vishwa Vidyapeetham, Mysuru
  • Arunraj Gopalsamy, Associate Director, Kyndryl
  • Vijayalakshmi Govindaraj, Kyndryl
  • Prabha Sasikanth, Kyndryl

IEEE Liaison Chairs

  • Dr. Abhishek Appaji, IEEE

Finance Chair

  • Ravi Shankar C Kyndryl
  • Mr. Sudharshan Duth P Assistant Professor Amrita Vishwa Vidyapeetham, Mysuru

Media and Creative Design

  • Dr. Ramya K Prasad Associate Professor Amrita Vishwa Vidyapeetham, Mysuru
  • Mr. Suraj R Shankar Assistant Professor Amrita Vishwa Vidyapeetham, Mysuru
  • Madhumita Phukan, Tech Mahindra
  • Rajakumar Munusamy,Concentrix

Venue & Accommodation Committee

  • Mr. Uday M, Assistant Professor Amrita Vishwa Vidyapeetham

Technical Program Committee

  • Dr. Satish Narayana Srirama, PhD School of Computer and Information Sciences, University of Hyderabad,India.
  • Dr. G. R. Gangadharan, M.S., Ph.D. Senior Member IEEE & ACM, Associate Professor, Dept. of Computer Applications, National Institute of Technology, Tiruchirappalli, India
  • Dr. Ernesto DamianiDirector, Khalifa University Center for Cyber Physical Systems (C2PS), Professor, Director of Information Security Center, Electrical and Computer Engineering & EBTIC
  • Dr. Madhu Govindaraju, Professor, Department of Computer Science Vice Provost - International Education and Global Affairs (IEGA) Binghamton University, SUNY, NY
  • Dr. Matthew Forshaw, Senior Lecturer in Data Science and National Skills Lead to The Alan Turing Institute, School of Computing, Urban Sciences Building, Newcastle University, UK
  • Dr. Yogesh Simmhan, Associate Professor, Department of Computational and Data Sciences Indian Institute of Science (IISc), Bengaluru.
  • Dr. Byungchul Tak, PhD Associate Dean, College of IT, Kyungpook National University, Daegu, Korea
  • Dr. J. Lakshmi, Chief Research Scientist, Cloud Systems Lab, Indian Institute of Science (IISc), Bengaluru.
  • Dr. Josef Spillner, Zhaw School of Engineering, Switzerland
  • Dr. Tak Kushida, Director of Cloud and Distributed Systems Lab, Tokyo University of Technology, Japan
  • Dr. Deepak P Chandrashekar, Soroco India Pvt. Ltd, Bengaluru
  • Dr. Shridhar Domanal, Accenture
  • Dr. Pravati Swain, Faculty of Computer Science, NIT Goa, India
  • Dr. Anandha Gopalan, Principal Teaching Fellow, Department of Computing, Imperial College London, UK
  • Dr. Nandini Sidnal, Faculty of Computer Science, Melbourne Institute of Technology, Sydney, Australia 
  • Dr. G. Rammohan Reddy, Professor at NIT Surathkal
  • Mohan Parthasarathy, Distinguished Technologist, HPE
  • Dr Pankaj Saha, Senior Member of Technical Staff in Oracle, USA.
  • Dr Claudio Aragna, University of Milan
  • Dr. Rajath Vasudevamurthy, Assistant Professor, B. M. S. College of Engineering, Bengaluru.
  • Prakash Raghavendra, Fellow at AMD, Bengalurus
  • Dr. Dinkar Sitaram, Professor, Head Center for Cloud Computing and Big Data, PES University, Bengaluru.

Academic liaison committee

  • Dr. Juliet Rozario, Professor at Nehru Arts and Science College, Coimbatore.
  • Mr. Adwitiya Mukhopadhyay, Assistant Professor, Amrita Vishwa Vidyapeetham, Mysuru
  • Dr. Savitha Murthy, Post Doctoral Researcher, IISc
  • Dr. Shyam Murthy, Post Doctoral Researcher, IISc
  • Dr. Chandrajit, Associate Professor, MIT Mysuru
  • Dr. Balakrishnan R, Assistant Professor, SASTRA Deemed University
  • Dr. Rajesh Kumar N, Assistant Professor, SASTRA Deemed University
  • Mr. Susheel Suresh, Applied Scientist, Microsoft Copilot AI
  • Mr. Munniyandi Perumal, Associate Director, Kyndryl
  • Dr. Kannan M, Assistant Professor, Amrita Vishwa Vidyapeetham
  • Dr. Pallavi Joshi, Assistant Professor, Amrita Vishwa Vidyapeetham
  • Prafullata Auradkar, Associate Professor, PES University
  • Mr. Santhosh kumar Bethi, Senior software engineer , T-mobile
  • Dr. Ghanshyam Singh, Assistant Professor , Poornima College of Engineering Jaipur
  • Dr. Krishnachalitha.K.C, Assistant Professor, Alliance College of Engineering & Design (ACED), Alliance University, Bangalore.
  • Dr. Sheela.K, Assistant Professor , St. Anne's Arts and Science College



12th IEEE CCEM - 2023 CONFERENCE SCHEDULE

8.00 AM to 05.30 PM IST

02nd November 2023 - Day 1
08:00 AM – 09:00 AM(IST)

Registration - Block 1 Reception Area
09.00 AM – 10.00 AM(IST) Sudhamani Hall

Welcome, Invocation, Lighting of the Inaugural Lamp and Overview of the 12th CCEM Conference
10.00 AM – 10.30 AM(IST) Sudhamani Hall

Conference Inauguration and Inaugural addresss by

Shri M.D.Ranganath,

Chairman, Catamaran Ventures
10.30 AM – 11.00 AM(IST) Coffee/Tea Break & Professional Networking
11.00 AM – 11.30 AM(IST) Sudhamani Hall

Keynote Address 1: Senthil Nathan Velu, CTO, New Street Technologies

11.30 AM – 1.00 PM(IST)

Presentation Sessions - 1
Sudhamani Hall

Parallel Session - 1 A : Research Paper Presentations Session Chair: Prof Ram Ramesh, SUNY at Buffalo, NY

(30 Minutes per Paper)
  1. "Dynastic Nexus: A Hierarchical Genealogy Platform with Network Analysis and Dynamic Visualization" By Smruthi BT, PES University; Trisha Jain, PES University; Anurita Bose, PES University
  2. "ROS-Kafka Gateway for Scalable, Remote and Cross-Platform Robotic System Communication" By Thejaswi A (PES University); Sai Sailaja Policharla, PES University; Samyam Narayan, PES University; Prafullata K Auradkar, PES University; Anantharaman P Narayana Iyer, JNResearch Labs LLP.
  3. "Yoga in digital Age: A Hybrid Approach using ML and Computer vision" By Priya Govindarajan, Amrita Vishwa Vidyapeetham; Achaiah K K, Amrita Vishwa Vidyapeetham; Arjun S Pramod, Amrita Vishwa Vidyapeetham.
Block 1 – 001

Parallel Session - 1 B : Short Research Paper Presentations - Machine Learning & IoT

(15 Minutes per Paper)
  1. Fish Farm Monitoring System Using IoT – Dhinakaran D, Vel Tech Rangarajan Sagunthala R&D Institute of Science and Technology
  2. Novel and Robust Energy Efficient Protocol for Authentication Purpose in IIoT - Kirubakar D, RMKEC
  3. LoRa Agri: Agriculture Automation and Intruder Detection System with IoT and LoRa Technology - Padmaja Preksha D, Amrita Vishwa Vidyapeetham); Adwitiya Mukhopadhyay (Amrita Vishwa Vidyapeetham); Surabhi R (Amrita Vishwa Vidyapeetham)
  4. Random Forest algorithm for Mitigating Floods and Ensuring Clean Water: IoT-based Monitoring, Harvesting and Purification in Flood-Prone India - Aishwarya P (Amrita Vishwa Vidyapeetham); Adwitiya Mukhopadhyay (Amrita Vishwa Vidyapeetham); Narendran Sobanapuram Muruganandam (Amrita Vishwa Vidyapeetham); Sinchana YL (Amrita Vishwa Vidyapeetham); Pooja HK (Amrita Vishwa Vidyapeetham); Yashaswini SC (Amrita Vishwa Vidyapeetham)
  5. Revolutionizing Healthcare IoT: A Low-Energy Connectivity Paradigm - Navodit Bhardwaj; Pallavi Joshi (Amrita Vishwa Vidyapeetham); Pooja Rani
Block 2 – Conference Hall

Parallel Session – 1 C: TechnoBizPlan Showcase Presentations

(15 Minutes per Submission)
Amritamayi Hall

Parallel Session – 1 D: Student Project Showcase Presentations

(10 Minutes per Submission)
1.00 PM – 2.00 PM(IST)

Conference Lunch and Networking
2.00 PM – 3.15 PM(IST)

Presentation Sessions - 2
Sudhamani Hall

Parallel Session – 2 A : Short Research Paper Presentations - Deep Learning

(15 Minutes per Paper)
  1. Solving Ordinary Differential Equations using custom loss Convolutional Neural Network Method - Soumyendra Singh (Amrita Vishwa Vidyapeetham)
  2. Exodus Bi-Directional LSTM based Multivariate Texmoji Classification - Sreekumar N R (Amrita Vishwa Vidyapeetham)*; Narendran Sobanapuram (Amrita Vishwa Vidyapeetham); Charles Jeyaseelan (Amrita Vishwa Vidyapeetham); Gautham Arayalpuram (Amrita Vishwa Vidyapeetham); Sreeshanth Parapurathe (Amrita Vishwa Vidyapeetham); Anushob Kavikkal Anand (Amrita Vishwa Vidyapeetham)
  3. Disease Detection in Areca Nut Using Deep Learning - Manohar N (Amrita Vishwa Vidyapeetham Mysuru Campus); KiRAN KUMAR B S (AMRITA VISHWA VIDYAPEETHAM MYSURU)
  4. A neural network Algorithm for Measuring PeriImplantitis Injury to the Periapical Membrane Improves Tooth Implantation Results - Shivam Pandey (Chandigarh University); , Ayon Somaddar(Chandigarh University)
  5. Hand Sign Language Detection using Deep Learning And Computer Vision - Sujata Joshi (Nitte Meenakshi Institute of Technology)
Block 2 - Conference Hall

Parallel Session – 2 B : Short Research Paper Presentations - Machine Learning & Image Processing

(15 Minutes per Paper)
  1. Correlate and classify The Purpose of Investment Using chi-square Measure and SVM - Bipin B J Nair -Amrita Vishwa Vidyapeetham,Mysuru Campus
  2. MULTI-LABEL RESEARCH PAPER CLASSIFICATION AND RECOMMENDATION SYSTEM - Vaibhavi V lal ; Suresha R -Amrita Vishwa Vidyapeetham
  3. DETECTION OF AUTHENTICITY - OF CONTENT FOR FORENSIC USING MACHINE LEARNING AND DEEP LEARNING - Priya Govindarajan ,Aswin Surendran P ,Sanjeev Kumar S -Amrita Vishwa Vidyapeetham
  4. An Ensemble Learning Approach for Malicious Traffic Detection in Wireless Sensor Networks - Kannan Muthusamy; Rakshith B H -Amrita Vishwa Vidyapeetham.
  5. Mobile Captured Document Classification based on Blind Image Quality Assessment model using Brisque - Rani, Shobha, K S, Koushik -Amrita Vishwa Vidyapeetham
Block 1 – 001

Parallel Session – 2 C: TechnoBizPlan Showcase Presentations

(15 Minutes per Submission)
Amritamayi Hall

Parallel Session – 2 D: Student Project Showcase Presentations

(10 Minutes per Submission)
3.15 PM - 3.45 PM(IST)

Coffee/Tea Break & Professional Networking
3.45 PM – 4.15 PM(IST)

Keynote Address 2 Prof, Ram Ramesh, SUNY at Buffalo, NY,USA
4.15 PM – 5.30 PM(IST)

Presentation Sessions - 3
Sudhamani Hall

Parallel Session – 3 A : Short Research Paper Presentations - Deep Learning

(15 Minutes per Paper)
  1. Categorizing Participants based on their Reaction Time Using Eye Gaze - Akshay S (Amrita Vishwa Vidyapeetham); Pranav Sai Pradeep (Amrita Vishwa Vidyapeetham)
  2. Detection and Recognition of Vehicles Using Indian Driving Datasets - Manohar N (Amrita Vishwa Vidyapeetham)
  3. An AI model for recognization of raagas in Indian classical, carnatic music - a review article - Priya Govindarajan (Amrita Vishwa Vidyapeetham); Shubhada M Mothi (Amrita Vishwa Vidyapeetham)
  4. Shadow Detection through YCBCR Color Space for Enhanced Scanned Document Quality - MAHESH DM (MIT FIRST GRADE COLLEGE); Chandrajit Mohan (MIT)
  5. Impression Management and Self-presentation: A survey among Instagram users - Sandeep TK (Amrita Vishwa Vidyapeetham); Moulya B (Amrita Vishwa Vidyapeetham)
Block 2 - Conference Hall

Parallel Session – 3 B : TechnoBizPlan Showcase Presentations

(15 Minutes per Paper)
Amritamayi Hall

Parallel Session – 3 C : Student Project Showcase Presentations

(10 Minutes per Submission)

 









12th IEEE CCEM - 2023 CONFERENCE SCHEDULE

03rd November 2023 - Day 2
08:00 AM – 09:00 AM(IST)

Registration - Block 1 Reception Area
09.00 AM – 10.00 AM(IST) Sudhamani Hall

Presentation Sessions - 4
Sudhamani Hall

Parallel Session – 4 A : Research Paper Presentations Session Chair: Prof Sanjay Chitnis, RV University

(30 Minutes per Paper)
  1. Deep Learning-based Techniques for Precise Vehicle Detection and Distance Estimation in Autonomous Systems - Manohar N Amrita Vishwa Vidyapeetham Mysuru Campus
  2. Face Liveness Detection and Recognition using Federated Learning in Edge Computing Environment - Ezhilarasie R; Alageswaran R; Narendran Sobanapuram Muruganandam ; Umamakeswari- SASTRA Deemed University
Block 1 – 001

Parallel Session – 4 B : Short Research Paper Presentations - Machine Learning, NLP Etc

(15 Minutes per Paper)
  1. DevOps Practices into Machine Learning-Samridhi Jain - Chandigarh University
  2. A Survey on Machine Learning Techniques for the Identification and Classification of Plant Leaf Diseases - Anupam Patil ; Virupakshappa Patil - Sharnbasva University Kalaburagi
  3. Comparative Analysis of Word Embeddings for Text Classification in Spark NLP Aarathi R Nair;Supriya M-Amrita School of Engineering, Bengaluru
  4. Groundwater Level Prediction: A novel study on Machine Learning based approach with regression models for Sustainable Resource Management - Sriram R ,Jasmeen Kaur Lovely Professional University
Block 2 – Conference Hall

Parallel Session – 4 C: TechnoBizPlan Showcase Presentations

(15 Minutes per Submission)
Amritamayi Hall

Parallel Session – 4 D: Student Project Showcase Presentations

(10 Minutes per Submission)
10:00 AM – 10:30 AM(IST) Sudhamani Hall

Keynote Address 3 - Pragya Sharma, Hybrid Data & AI, Accenture India

10:30 AM – 11.00 AM(IST) Coffee/Tea Break & Professional Networking
11:00 AM – 11:30 AM(IST) Sudhamani Hall

Keynote Address 4 - Dr. Sheela Siddappa, Director, Data Science, Kyndryl

11:30 AM – 1.00 PM(IST)

Presentation Sessions - 5
Sudhamani Hall

Parallel Session – 5 A : Short Research Paper Presentations

(30 Minutes per Paper)
  1. Deep Learning Approach for Karnataka Snacks Recognition - Manohar N; H S Gowri Yaamini ; Swathi K J -Amrita Vishwa Vidyapeetham Mysuru
  2. Orchestrating Consensus Strategies to Counter AI Hallucination in Generative Chatbots - Nambiar, Jyothika; A G , Sreedevi-Amrita Vishwa Vidyapeetham Mysuru Campus
  3. Bacterial Wilt Detection From Okra Leaf Using Mask-RCNN - Abhiram M P; Adarsh V ; N Shobha Rani ; Akshatha Prabhu -Amrita Vishwa Vidyapeetham Mysuru.
  4. End to End Botnet Security in WSN - Keerthika Kumaresan -Amrita Vishwa Vidyapeetham
Block 2 – Conference Hall

Parallel Session – 5 B : TechnoBizPlan Showcase Presentations

(15 Minutes per Submission)
Amritamayi Hall

Parallel Session – 5 C : Student Project Showcase Presentations

(10 Minutes per Submission)
1.00 PM – 2.00 PM(IST)

Conference Lunch and Networking
2.00 PM – 3.15 PM(IST)

Presentation Sessions - 6
Sudhamani Hall

Parallel Session – 6 A : Short Research Paper Presentations

(30 Minutes per Paper)
  1. Cloudi: Converting raw eye gaze data into usable format using cloud - Akshay S ; Pradyumna Bharadwaja -Amrita Vishwa Vidyapeetham, Mysuru Campus
  2. Cloud Gaming: Revolutionizing the Video Gaming Industry - Phani Kumar Pullela,RV University
  3. Obfuscated Malware Detection using Multi-class Classification- Sharmila S P ; Aruna Tiwari , Narendra S. Chaudhar, Sharmila S P - IIT Indore
  4. Balancing Acts: Unraveling Nonlinear Causality in the Indian Equity Market through Positive and Negative Financial News - Renju R Varghese-NITK
  5. TuneOS Auto-tuning operating system parameters for varying database workloads - Kotabal, Manjunath Mallappa; Krishnamurthy, Mathangi; Mohiuddin , Md Ghouse ; Patil, Shivangouda I; M S, Rashmi; Auradkar, Prafullata K-PES University
Block 2 - Conference Hall

Parallel Session – 6 B : TechnoBizPlan Showcase Presentations

(15 Minutes per Submission)
Amritamayi Hall

Parallel Session – 6 C : Student Project Showcase Presentations

(10 Minutes per Submission)
3.15 PM - 3.45 PM(IST)

Coffee/Tea Break & Professional Networking
3.45 PM – 4.15 PM(IST) Sudhamani Hall

Keynote Address 5: Ravi Trivedi, Managing Director, Digital Agriculture, The Nudge Institute
4.15 PM – 5.30 PM(IST) Sudhamani Hall

Panel Discussion: Where is AI headed? Careers in the new AI World!

Panel Moderator: Dr T S Mohan, Pragyan Datalabs.
Panelists: Dr Sanjay Chitnis, Dr Ram Ramesh, Dr Raghav Rao, Dr Shekhar Babu, Ravi Trivedi
6.30 PM – 9.00 PM(IST) Amriteshwari Hall

A Unique Cultural Extravaganza followed by Conference Dinner

 









12th IEEE CCEM - 2023 CONFERENCE SCHEDULE

04th November 2023 - Day 3
08:00 AM – 09:00 AM(IST)

Registration - Block 1 Reception Area
09.00 AM – 10.00 AM(IST) Sudhamani Hall

Keynote Address 6: Prof. H. Raghav Rao, AT&T Distinguished Chair in Infrastructure Assurance and Security, University of Texas at San Antonio (UTSA)
09.30 AM – 10.30 AM (IST) Sudhamani Hall

Tutorial - AI & IoT - Part I
10:30 AM – 11.00 AM(IST) Coffee/Tea Break & Professional Networking
11.00 AM – 12.00 PM(IST) Sudhamani Hall

Tutorial - AI & IoT - Part II

12.00 PM - 12.30 PM (IST) Sudhamani Hall

Keynote Address 7 : Rushi Mehta, Cyber Security Professional, Senior Consultant, Indian Cyber Crime Coordination Center, Ministry of Home Affairs, Govt of India.
12.30 PM – 2.00 PM(IST)

Conference Lunch and Networking
2.00 PM – 3.15 PM(IST)

Presentation Sessions - 7
Sudhamani Hall

Parallel Session – 7 A : Short Research Paper Presentations

(15 Minutes per Paper)
  1. Relationship Between Factors Affecting Software Vulnerabilities - Mastan Rao Parimi; Venkata Nikhil Maddula ; Veerendra Sai Manasali ; Shiva Saketh Thangallapally; Shekar Babu- Amrita Vishwa Vidyapeetham
  2. AI-Assist tool to enhance the reliability and accuracy of automated speech and writing support for students with disabilities in learning languages - Manochandar T- Hindustan
  3. Artificial Intelligence Assisted Improved Design to Predict Brain Tumor on Earlier Stages using Deep Learning Principle -lp j -Savetha University
  4. Intelligent and adaptive multi-tiered taxonomy for Digital Workplace Request Fulfilment Automations and Remediations -Divya Kamat ; Pritpal S Arora , Lekha Priyadarshini , Sheela Siddappa-Kyndryl
Block 2 - Conference Hall

Parallel Session – 7 B : Short Research Paper Presentations

(15 Minutes per Paper)
  1. An Ensemble Approach to Classify Severity Levels in Chili Leaf Diseases through Federated Learning CNN - Varun Jindal ; Vinay Kukreja ; DEEPAK SINGH ; Shiva Mehta ; Siddhant Thapliyal- Chitkara University Institute of Engineering and Technology.
  2. Confluence of Data Privacy and Agriculture: Federated CNN Models for Holy Basil Diseases - Varun Jindal Vinay Kukreja ; Prateek Dr. Srivastava ; Shiva Mehta ; Kireet Joshi -Chitkara University Institute of Engineering and Technology
  3. Analysis on Recent Trends in Augmented and Virtual Reality with Haptic Interferences -lp j- savetha
  4. Verdant Visions: Exploring the Frontier of Peppermint Disease Detection through CNN and Random Forest - Arshleen Kaur Vinay Kukreja Nisha Chandran (GEHU); Vishal Jain ; Navin Garg
Amritamayi Hall

Parallel Session – 7 C : Short Research Paper Presentations

(15 Minutes per Paper)
  1. Enhancing Demand Forecasting Accuracy Thriugh Market Trend Analysis: Leveraging NLP Algorithms for Datadriven Inshights Mohammad Asif I; Sameer Yadav;Naveen Pol; Sivakumar g; Chandrakala P; Vamsi Krishna P-Gandhi,Channel Paradise CHS Ltd.
  2. Automation of Categorizing Software Vulnerabilities using NLP Techniques - Mastan Rao Parimi; Shekar Babu ; UTKARSH TIWARI -Amrita vishwa vidyapeetham
  3. Multi - Stage Canker Disease Detection in Lime Leaves - BR, Pushpa-Amrita Vishwa Vidyapeetham.
  4. Revolutionizing Spatial Data Collection:The Advancements and Applications of 3D Mapping with Drone Technology(Photogrammetry) - Komati, Srikanth; SIRPA, SAI SNEHITH; Nallapothula, Anil; bansod, saurabh; singh, shashank; pal, prashant; kumar, yogesh-National Institute of Electronics and Information Technology
Block 1 – 001

Parallel Session – 7 D : Student Project Showcase Presentations

(10 Minutes per Paper)
3.15 PM – 3.45 PM(IST)

High Tea Break & Professional Networking
3.45 PM- 4.15 PM(IST) Sudhamani Hall

Keynote address 7 - Venkatesh Narayanan, Principal Engineer, Microsoft
4.30 PM - 5.30 PM(IST) Sudhamani Hall

Awards, Vote of Thanks & Conference Closing Ceremony

 






Mentors

Dr. Gopal Pingali

Dr. Gopal Pingali

MD & Global Hybrid Cloud Leader, Accenture | IEEE Fellow

Dr. Gopal Pingali is an internationally renowned technology, innovation, and transformation executive with extensive experience in driving digital transformation across multiple industries leveraging Cloud, AI, and Automation technologies. Gopal is currently CEO and Founder of cYAAG, a Cloud and AI startup whose vision is to make everyone a social entrepreneur to create a sustainable world

Gopal worked extensively in the US and India and built several global technical organizations with an entrepreneurial spirit. He was previously Global Vice President at IBM for Cloud Transformation and Global Technology Services Labs (GTS Labs). Prior to that he was a Research Leader at the IBM TJ Watson Research Center and at AT&T Bell Labs. He obtained his Ph.D. in Computer Science and Engineering from the University of Michigan.

Gopal pioneered innovations in many areas including Multicloud Management, Cognitive Automation, Continuous Security, Mobile Web, Electronic Chronicles, Real-time Video Tracking Systems, Smart Interactive Spaces, Visual Information Systems for Sports, Autonomous Vehicles, and Nanotechnology. His current passion is to build the world’s leading digital platform and the most vibrant global community for sustainable development

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Dr. T S Mohan

Dr. T.S. Mohan

Director & Founder at Pragyan Datalabs

Dr. Mohan holds a Masters and PhD in computer science from the Indian Institute of Science, Bangalore where he worked as a faculty-scientist for about a decade before moving into the industry. He was a young visiting scientist in the Lab for Computer Science, MIT in 1988 and a visiting scientist in NEC Research Institute, Princeton in the summer of 1994. After leaving IISc, he worked for a number of companies including HP. He pursued his entrepreneurial interests in Bangalore in advanced enterprise software systems for about 7 years before joining Infosys. After a five year stint at Infosys, Dr Mohan founded Pragyan Datalabs focused on BigData algorithms and Analytics in Bengaluru.

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Prof. D.Janakiram,IIT Madras

Prof. D.Janakiram

Institute for Development and Research in Banking Technology (IDRBT)

Dharanipragada Janakiram did his Ph.D from IIT Delhi and is currently a professor in the Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Madras, India, where he heads and coordinates the research activities of the Distributed and Object Systems Lab.

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Dr. Sreekrishnan Venkateswaran

Dr. Sreekrishnan Venkateswaran, CTO - Kyndryl India

He the CTO of Kyndryl India and a Kyndryl Distinguished Engineer. He also leads Kyndryl's Cloud Centre of Excellence, a world-wide team of client-facing cloud solution architects. Kyndryl is a $19B IBM spin-off. In his previous IBM roles, He was an engineering unit head and a Linux technologist, leading teams working on embedded systems, telecom, consumer electronics, health care, and networking. He authored a best selling book on Linux device drivers. He is currently the General Chair of IEEE International Conference on Cloud Computing in Emerging Markets.

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Raj Tumuluri

Raj Tumuluri

CEO, Openstream

Raj Tumuluri is the principal of Openstream USA and is a coauthor of several multimodal interaction standards at the worldwide web consortium (w3c) and his articles & book chapters were published in ACM & other reputed publications. His current area of research focuses on improving user experience leveraging context in multimodal interaction using machine learning.

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Dr. Sanjay Chitnis, DSU

Dr. Sanjay Chitnis, Dean, Computer Science at RV University

Dr. Sanjay Chitnis's areas of interest are Machine Learning, Cloud Computing, Innovation and Entrepreneurship. He is a passionate teacher, with 33 years of all-round leadership level experience in IT industry as well as academics and research. During his career in industry, he managed projects such as Messaging Subsystem of IRIDIUM, the satellite based communication system in Motorola. Later at LG Soft India, he was responsible for the development of a new generation web Based platform for LG Smart devices. After this, he worked as Principal at the CMR Institute of technology, Bangalore.

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Dr. K.V.Subramaniam, PESU;

Dr. K.V.Subramaniam, AMD

Dr. K V Subramaniam has over 15 years of experience in both the software and semiconductor industries. He has worked in the Industry in a wide variety of technologies ranging from Performance Modeling of processors to providing architectural vision for scale out for an enterprise application. He has had the fortune of working with some very talented engineers and learning from them. He has worked across geographical boundaries working as an engineer and when managing teams.
He is currently working at the server performance group at AMD and teaching at PES University.

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Dr.-Ing. habil. Josef Spillner

Dr.-Ing. habil. Josef Spillner

Senior Lecturer & Panagiotis Gkikopoulos, Research Assistant, ZHAW School of Engineering, Switzerland

Dr. Josef Spillner is Theme Lead for Distributed Application Computing Paradigms and Service Prototyping and Fellowship holder of the digitalisation initiative of the canton of Zurich in Switzerland. His teaching schedule is focused on Big Data Computing, Cloud Native Computing and Serverless Computing. He conducts scientific research and applied innovation transfer in the same areas.

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Manthripragada Subrahmanya Sarma

Manthripragada Subrahmanya Sarma

Principal Consultant, Mindtree

Dr. Subrahmanya Sarma (Subbu)is a Principal Consultant and (Certified Project Management Professional) with 19 years of experience in Software development. Subbu is having expertise in various domains covering Machine Learning, Identity & Access Management, Identity Federation, PKI and Cryptography. Subbu has 10 years of project and people management experience and one year of presales experience of proposing IDAM, IGA and PAM solutions to various customers across the globe.

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Sridhar Chitraju (CSri)

Sridhar Chitraju (CSri)

Program Director, Kyndryl

Sridhar Chitraju is a Program Director at Kyndryl. Prior to his current position at Kyndryl, he has managed a global team of architects and developers for an IBM’s flagship cloud offering - IBM Cloud Managed Services. He has worked with Tata Consultancy Services (TCS) for more than a decade, before joining IBM in 2007. At TCS, he has worked in diverse areas - Global Delivery Strategy, managing Large Client Engagements, leading Practice Areas/Competencies, Delivery Center Program Management Office, Strategic Planning for North America Sales Operations and handling of multi-million dollar full software life-cycle Application Development, Offering/Product development, Maintenance and Support projects

Sridhar obtained his master’s degree from the Indian Institute of Technology (IIT), Bombay and he also did an Executive Management Program from the Indian Institute of Management (IIM), Bangalore. His passions include building high performance teams and enabling cloud based innovations that help in transforming the businesses worldwide and societies we live in.

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Dr. Mydhili Nair

Dr. Mydhili K Nair

Professor, RV University

Dr.Mydhili K Nair is currently working as a Professor at RV University. She has a mixed bag of 8 years Industrial Experience and 14+ years of Academic Experience. In the IT Industry she has adorned various roles ranging from Technical Lead to Project Manager in different companies such as Wipro, Hexaware, Asset Corporate Education Partner to IBM and Mahendra Comviva. Her research interest includes Distributed Computing and Data Science. She has won the prestigious IBM Faculty Award in the year 2011 for her collaborative research association with IBM. She is also in the editorial panel of referred journals & has been a member of the organizing committee, session chair for many annual symposiums, conferences, Women In Engineering (WiE) forums such as Grace Hopper Conference, IEEE ANTS WiE track etc. She is also the faculty mentor for Google Developer Student Club of MSRIT. She & her students have won many project competitions & best paper awards at State & National level, including Smart India Hackathon for two successive years (2018 and 2019). She is passionate about teaching and mentoring student projects, some of which have actual end-users. Noteworthy among them is a suite of three products that have been developed for the blind students under her mentorship, which is being successfully incorporated into the curriculum of a blind school in Yelahanka, Bangalore.

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Dr. Sekhar Babu,

Dr. Sekhar Babu,

Associate Dean, Amrita Vishwa Vidyapeetham, Mysuru Campus

Dr. Shekar Babu is the Founding Head of AMRITA School of Business, Bangalore. He started AMRITA School of Business, Bangalore in 2007 in collaboration with SUNY, Buffalo, NY, USA. Mr. Shekar worked as Director, Hewlett-Packard Co., Palo Alto, CA, USA for 11 years and 5 years as a Management Consultant at Price Waterhouse, Los Angeles, CA, USA. Mr. Shekar Babu is also an advisor and on board for a few start-up companies in India. Mr. Shekar Babu is also the Principal Investigator (PI) in developing and implementing CSR Projects since 2006. The 5 CSR projects termed as “Village Resource Centers (VRCs)” were implemented in 5 remote locations of Tamil Nadu and Kerala, in collaboration with Microsoft, HP, CTS, CISCO and ISRO. The projects were focused on Education, Healthcare and Agriculture. The results of these projects were presented in a paper “Enabling Rural Transformation through VRCs” at the International Conference “LifeSkills 2010” which was specifically appreciated by then President of India Dr. A.P.J. Abdul Kalam and Dr. P.V. Indiresan.

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Balu Masti

Balu Masti

Independant Advisor & Ex Intel

IoT Evangelist, Entrepreneur, Startup Mentor, Startup Co-Founder. A Seasoned Software Professional with deep expertise in building scalable software solutions to solve a whole gamut of business problems ranging from software solutions for IOT / low level devices to enterprise platforms. In-depth experience building product and technology consulting business across multiple geographies including India and USA

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Sougata Mukherjea

Sougata Mukherjea

Program Director, Kyndryl

Sougata Mukherjea is currently Professior of Practice, IIT Delhi. Previously he was the Leader, CTO Center of Excellence at Kyndryl. He has a PhD in Computer Science from Georgia Institute of Technology and was an Adjunct Faculty – Indian Institute of Technology, Delhi. He has Over 15 years research and development experience in IBM, BEA, Inktomi and NEC Research. His area of expertise include Analytics, Visualization, AI, Mobile and Cloud. He has won several awards (within IBM and external) and has numerous projects with technical and business impact to IBM customers, products and services. He is an IBM Master Inventor with many US patents and has multiple research publications in reputed conferences and journals (Citation Count > 3000).

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Gopalakrishnan Balasubramanian

Gopalakrishnan Balasubramanian

Program Director, Kyndryl

Proven leadership credentials with 20 + years of experience, across SDLC phases. Highly experienced in instilling & sustaining a high-performance culture, across teams & individuals. First-class experience in product release aspects, agile development & large-sized team handling. Managed & delivered 40-odd releases overall

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Dr. Sridhar Domnal

Dr. Sridhar Domnal

Cloud Consultant at Accenture

Dr. Shridhar G. D., is an experienced Postdoctoral Researcher / Cloud Consultant with a demonstrated history of working in industry, academia and strong research professional with a Doctor of Philosophy (Ph.D.) focused on Cloud and Distributed Computing from National Institute of Technology, Surathkal, Karnataka. He did his Postdoc at University of Surrey, UK on the project entitled "Cloud Assisted Real-time Methods for Autonomy (CARMA)” and mainly involved in building micro-services using application layer protocols on different cloud platforms (Amazon, Azure, etc.) which offer mobile edge computing (using serverless computing) capabilities for connected autonomous cars. Currently, he works on diversified platforms who wish to start / migrate their journey to Cloud environment and also focusses on building new capabilities which can be hosted on different public cloud platforms. In parallel, he is active with his research on IoT, Blockchain and other emerging technologies and he has published many conference and journal papers in reputed forums like IEEE, Elsevier and Springer. As a passion, he collaborates with many reputed colleges to help and boost the student community by imparting his knowledge through Guest Lectures, Webinars, etc. He is passionate about travelling, cooking and cycling among other varied interests.

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Dr. Rajath Vasudevamurthy

Dr. Rajath Vasudevamurthy

B. M. S. College of Engineering, Bengaluru

Dr. Rajath Vasudevamurthy is serving as an Assistant Professor in the Department of Electronics and Communication Engineering at B. M. S. College of Engineering, Basavanagudi, Bengaluru since January 2019. Previously he served at the Bengaluru campus of Amrita University. Dr. Rajath obtained his B. E. from R. V. College of Engineering, Bengaluru and did his Ph.D. from the Indian Institute of Science, Bengaluru under the guidance of Prof. Bharadwaj Amrutur. He was a visiting researcher at KTH, Stockholm and a post-doctoral researcher at the Pennsylvania State University. His interests include VLSI Circuits and Systems and likes to pursue India studies in his leisure

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Dr. Peter

Dr. Peter

Program Director, Reliance Jio

Working as the chief architect and vice-president in the Site Reliability Engineering (SRE) division of Reliance Jio Platforms Ltd. Bangalore. My previous stints are in IBM global Cloud center of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). In total, I have gained more than 20 years of IT industry experience and 8 years of research experience. Finished the CSIR-sponsored PhD degree at Anna University, Chennai and continued with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. Thereafter, I was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for 3.5 years in two leading Japanese universities. Published more than 40 research papers in peer-reviewed journals such as IEEE, ACM, Springer-Verlag, Inderscience, etc. Have authored and edited 30 books thus far and contributed 35 book chapters thus far for various technology books edited by international professors

Focusing on some of the emerging technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), Streaming Analytics, Blockchain, Digital Twins, Cloud-native computing, Edge AI, Serverless Computing, Microservices architecture (MSA), Event-driven Architecture (EDA), etc. More details can be found at https://sweetypeterdarren.wixsite.com/pethuru-raj-books. Maintain an IT Information Portal at http://peterindia.net/Digital.html and The GitHub Page

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Dr. Abhishek Kumar

Dr. Abhishek Kumar

Senior Member IEEE ,IEEE Brand Ambassador

Abhishek Kumar has a Doctorate in computer science from University of Madras and done M.tech in Computer Sci. & Engineering from Government engineering college Ajmer, Rajasthan Technical University, Kota India. He has total Academic teaching experience of more than 8 years with more than 80 publications in reputed, peer reviewed National and International Journals, books & Conferences. His research area includes- Artificial intelligence, Image processing, Computer Vision, Data Mining, Machine Learning. He has been Session chair and keynote Speaker of many International conferences, webinars in India and Abroad. He has been the reviewer for IEEE and Inderscience Journal. He has authored/Co-Authored 6 books published internationally and edited 16 books (Published & ongoing with Elsevier, Wiley, IGI GLOBAL Springer, Apple Academic Press, De-Grueter and CRC etc. He has been member of various National and International professional societies in the field of engineering & research like Senior Member of IEEE , IAENG (International Association of Engineers), Associate Member of IRED (Institute of Research Engineers and Doctors), He has got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group.He is Editor of Special issue in the Journal Computer materials and continua [SCI and SCOPUS.IF- 4.98] and Intelligent Automation and Soft Computing [SCI, SCOPUS, IF-1.276] Cognitive Neurodynamics, Springer [SCI, SCOPUS, IF-3.925]

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Dr. Abhishek Kumar

Prof. Takayuki Kushida

Graduate School of Bionics, Computer Science and Media Science Tokyo University of Technology

Takayuki Kushida is professor and leads Cloud and Distributed Systems Laboratory in Tokyo University of Technology. Before he joined the university, he was in IBM Research, Tokyo Research Laboratory as a senior research staff and pursued many research projects in distributed computing technology. He was also the technical staff of IBM Research HQ in NY, U.S.A. and worked on providing the research technical strategy for worldwide research laboratories. He was also a principal cloud solution architect in IBM Global Technology Services, Bangalore, India as an international assignment and supported to make many cloud technical solutions. In the academic community, he was a director for IPSJ (Information Processing Society of Japan) to execute the strategy and operation, and editor in chief for IPSJ Journal. He is IPSJ Fellow for his research contributions to distributed systems and cloud.

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Dr. P. Rambabu, IBM

Dr. P. Rambabu, IBM, Singapore

IBM Distinguished Engineer, Architecture Guild Leader, Cloud Hub (East) at IBM

Rambabu Parvatina (Ram) is an IBM Distinguished Engineer - one of the highest company’s technical honors. Ram is a recognized technical leader for his deep technical expertise in cloud computing, leadership and innovation. Ram has played a lead role in solutioning and winning high-value hybrid cloud engagements that made a huge business impact. He built the Hybrid Cloud Orchestration and Automation practice in Cloud Center of Excellence, a global team that engages with hundreds of clients every year. Ram is currently the Chief Technologist for Cloud Content Factory that drives building and deploying of Cloud Automation solutions for IBM clients. He wears another hat as Cloud Solutioning leader in Service Integration Hub, IBM Singapore and is responsible for reviewing and guiding of hybrid cloud solutions in AP & MEA regions. Ram excels in creating first-of-a-kind solutions, generating reusable assets from them, and aligning them with reference architectures.

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Patronship and Participation

As a Patron, you will be showing your support for advancing cloud computing technology and helping to address the unique challenges and opportunities of cloud computing in emerging markets. You have the opportunity to enjoy extraordinary visibility with our conference audience, build powerful relationships and benchmark your company strategy against key industry players within India and internationally.

Patrons will be prominently recognized both at the events (workshop and main conference) and on the CCEM website.

CCEM 2022 provides a limited number of Patronship opportunities as outlined in the table below. Interested Patrons should contact the Industry Liaisons Chair for the conference – Sri Chandra at sri.chandra@ieee.org

Patronship Type Number of Opportunities Number of Complimentary Full Conference registrations Company Logo placed on conference web site with link Prominent signage identifying company as a Patron at the appropriate level Exhibit space Acknowledgment of Patron at the event
Diamond
USD $10000 / INR 7,00,000
 2 8

Platinum
USD $7500 / INR 5,25,000
 2 6

Gold
USD $5000 / INR 3,50,000
 2 4

Startup Showcase Patron
USD $5000 / INR 3,50,000
 1 4

Tutorial Sessions Patron
USD $2500/INR 1,75,000
 1 2

Banquet Dinner Patron
USD $2500/INR 1,75,000
 1 2

Professional Mentors Patron
USD $1000/INR 70,000
 15 2

Student Project Competition Patron
USD $1000/INR 70,000
 1 1

Best Paper Awards Patron
USD $1000/INR 70,000
 1 1

Conference Lunch Patron
USD $1000/INR 70,000
 2 1

Sponsors & Patrons

Sponsored by IEEE Technical Committee on Services Computing (TCSVC)




Patrons