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Research and
Development

 
20
Doctoral Students
75+
PATENTS
1000+
PUBLICATIONS
pic

“INSOFE enters a new era… Our faculty are exploring the foundations
of Artificial Intelligence and developing newer applications in a
variety of fields such as
IoT, Blockchain, Video Analytics, Business Intelligence, and Healthcare.”


Dr. L. Srinivasa Varadharajan
Dean - Research and Development

Research Areas

INSOFE’s 75 faculty members and 20 doctoral students are actively involved in applied research
and product development in the following areas.

Data Science

Horizontals

Verticals

Robotics
Autonomous Systems & Connected Devices

Retail / FMCG

Blockchain

Supply Chain

Quantum Machine Learning

Education

Scaling and Deploying Deep Learning Algorithms

Healthcare

AI Adoption in Business

 

Distributed Computing and Networking

 

icon01 Robotics, Autonomous Systems & Connected Devices (RASCoD)

Principal Investigators

  • pic Dr. Parag Mantri
  • pic Dr. Anand Narasimhamurthy
  • pic Prof. Ashwin Ganesan
  • pic Mahesh Kumar Duvvarapu
  • pic Bala Subhramanya Sharma
  • pic Nilesh Chopda

Research Objective

  • Build product prototypes which help attain safety and efficiency through autonomy and seamless connectivity.
  • Grow applied research capabilities through the application of Machine Learning, Deep Learning and Reinforcement Learning in Robotics.
  • Deliver best-in-class educational programs that help the industry to adopt and apply robotics for solving real-world problems.
 

icon01 Retail/FMCG

Principal Investigators

  • pic Prof. Anuradha Sharma
  • pic Sri Lakshmi Kanakamedala

Research Objective

  • Our long-term goal is to gain competency in building an AI-driven Retail product for the Indian market. We intend to do that by developing a prototype of a contextual visual recommendation engine layered with user ratings and its aspects for niche areas like Shoes/Bags/Top Food Preferences (Chinese, Italian, Indian) using advanced AI.
  • Development of a Retail/FMCG execution playbook for faster, accurate, and scalable delivery in our consulting practice.
 

icon01 Blockchain

Principal Investigators

  • pic Dr. Praphul Chandra
  • pic Gaurang Singh
  • pic KoineArth Team

Research Objective

  • Blockchain based platform for bridging data silos between organizations.
  • Build an enterprise grade platform to enable secure, auditable data sharing to improve speed & OTIF performance in Supply Chains.
  • Enable organizations to issue publicly verifiable, digitally traceable sustainability, origin & warranty certificates.
  • Incentivize secure, consent-based data sharing by enabling data-as-an-asset in B2B & B2C value chains.
 

icon01 Supply Chain

Principal Investigators

  • pic Dr. Manoj Duse
  • pic Dr. Anand Narasimhamurthy
  • pic Prof. Ashwin Ganesan

Research Objective

  • Grow applied research capabilities through the application of Machine Learning, Deep learning, Simulation, and Optimization to solve burning problems in industry related to Supply Chain.
  • Deliver best-in-class educational programs to help industry ML-driven psychological health profile.
 

icon01 Education

Principal Investigators

  • pic Dr. Sridhar Pappu
  • pic Shilpa Kadam
  • pic Jayant Mulmoodi

Advising Investigators

  • pic Dr. L. Srinivasa Varadharajan
  • pic Dr. Suryaprakash Kompalli

Research Objective

  • Personalized learning for online and blended learning models.
  • Video-based proctoring.
  • Mood identification and classification in the classroom.
 

icon01 Healthcare

Principal Investigators

  • pic Dr. L. Srinivasa Varadharajan
  • pic Dr. Suryaprakash Kompalli
  • pic Jagannadha Rao Basa
  • pic Manoj Akella

Research Objective

  • Identification of people at risk for various diseases.
  • Customized medical support.
  • ML-driven psychological health profile.
 

icon01 AI Adoption in Business

Principal Investigators

  • pic Dr. Dakshinamurthy V Kolluru
  • pic Dr. Gnana K Bharathy
  • pic Prof. Anuradha Sharma
  • pic Chaitanyakanth Vadlapudi
  • pic Tanzeem Ahmed

Research Objective

  • Our long-term goal is to make AI adoption systematic and efficient in an enterprise. We will work at 3 layers. CXOs (decision-makers), translators (managers) and engineers. We shall develop frameworks, questionnaires, surveys and tools to make AI adoption easier.
 

icon01 Distributed Computing and Networking

Principal Investigators

  • pic Prof. Ashwin Ganesan
  • pic Dr. Anand Narasimhamurthy

Research Objective

  • Conduct research in all areas of networking, including wireless networks, sensor networks, interconnection networks, and IoT.
  • Investigate the design and performance of distributed algorithms and resource allocation and scheduling algorithms.
  • Conduct research in data science, with a focus on graph algorithms in data mining and networked structures in economic and social networks.