Research

Recent trends in deep-submicron very large-scale integration (VLSI) circuit technology have resulted in new requirements for algorithms in integrated circuit layout. Much of my work centers on new formulations that capture performance and density criteria in the physical layout phases of computer-aided design (CAD). Our results include near-optimal approximation algorithms for such computationally difficult problems as minimum-cost Steiner tree routing, low-skew clock networks, cost-radius tradeoffs, bounded-density trees, circuit probe testing, high-performing Elmore-based constructions, layout density control, and improved manufacturability.

Web of Science Researched ID : https://publons.com/researcher/ABG-8928-2021/

ORCiD : https://orcid.org/0000-0001-6768-5815

Scopus Author ID: https://www.scopus.com/authid/detail.uri?authorId=57204910578

 

Research Interests

  • Cloud Computing
  • Cyber Security
  • Blockchain (DLT)
  • Artificial Intelligence
  • Machine Learning
  • IoT
  • Data Analytics (Business Analytics)
  • Big Data Technologies
  • FinTech
  • Business Strategy & Financial Management

Research Personel

K.Mrudula

K.Mrudula

Research Fellow

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G.Maanasa

G.Maanasa

Research Fellow

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Dr.P.Chiranjeevi

Dr.P.Chiranjeevi

Research Fellow

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Phani Srinivas

Research Fellow

External link

Experienced research members is the key for a innovative research output

K.Mrudula

A Post graduate from IIIT-Hyderabad with more than 9 years of industrial and academic experience. Her research interests include Human Computer Interaction, Linguistics , Artificial Intelligence and Machine Learning.

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Gadde Maanasa

A Post graduate in Business Administration and pursuing her PhD in ICT based socio economic solution for the identified problems in Andhra Pradesh Tourism sector. Her research interests include Socio-economic issues, Decentralised solutions based on ICT using IoT, AI and Cloud Computing.

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Dr.P.Chiranjeevi

Having 14.8 years of experience in the area of Software Development, and Teaching Area.

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Phani Srinivas

A social psychologist and marketer, Jennifer Doe is the General Atlantic Professor of Marketing and Ormond Family Faculty at Stanford University’s Graduate School of Business.

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Patents Published

  • Water Impurity Detection Using Internet of Things (IOT) for Smart City Management

    Filed a complete patent application (Application No: 202041025992) on Water Impurity Detection Using Internet of Things (IOT) for Smart City and published on:03/07/2020

  • System and Method for Multi-layered and Multi-Dimensional Quality Control During Data Management

    Filed a complete patent application (Application No: 201841007770) on System and Method for Multi-layered and Multi-Dimensional Quality Control During Data Management and published on : 22/3/19

  • Device, System and Method for an Efficient Approach to Improve Interactions

    Filed a complete patent application (Application No: 201841007769) on Device, System and Method for an Efficient Approach to Improve Interactions and published on : 17/5/2019

  • IoT enabled Intelligent Stick with Cloud Integration

    Filed a complete patent application (Application No: 201741046579) on IoT enabled Intelligent Stick with Cloud Integration and published on : 22/3/2019

As a Reviewer for International Journals

  • Journal of Big Data – Springer Open” - Detecting high indoor crowd density with Wi-Fi localization: A statistical mechanics approach

    Acted as a reviewer for “Journal of Big Data – Springer Open” – Detecting high indoor crowd density with Wi-Fi localization: A statistical mechanics approach, BIGD-D-19-00002, 06 Feb 2019.

  • Journal of Big Data – Springer Open” - AN EXPLORATION OF IT MANAGERS' EXPERIENCES MEETING BIG DATA DEMANDS

    Acted as a reviewer for “Journal of Big Data – Springer Open” – AN EXPLORATION OF IT MANAGERS’ EXPERIENCES MEETING BIG DATA DEMANDS, BIGD-D-18- 00159, 06 Feb 2019.

  • Journal of Big Data – Springer Open” - Big Data–Driven Smart Sustainable Urbanism: Foundations, Datafication, Underlying Factors, and Challenges and Open Issues

    Acted as a reviewer for “Journal of Big Data – Springer Open” – Big Data–Driven Smart Sustainable Urbanism: Foundations, Datafication, Underlying Factors, and Challenges and Open Issues, BIGD-D-18-00136R2 , 06 Feb 2019

  • Journal of Big Data – Springer Open” - Intelligent video surveillance: a review through deep learning techniques for crowd analysis

    Acted as a reviewer for “Journal of Big Data – Springer Open” – Intelligent video surveillance: a review through deep learning techniques for crowd analysis, BIGD-D-18-00152, 30 Dec 2018.https://journalofbigdata.springeropen.com/

  • Journal of Big Data – Springer Open” - Big Data–Driven Smart Sustainable Urbanism: Foundations, Datafication, Underlying Factors, and Challenges and Open Issues

    Acted as a reviewer for “Journal of Big Data – Springer Open” – Big Data–Driven Smart Sustainable Urbanism: Foundations, Datafication, Underlying Factors, and Challenges and Open Issues, BIGD-D-18-00136R1 , 30 Dec 2018

  • Journal of Supercomputing – Springer” - Application Level Evidence Building For Cloud Forensics Using Amazon Web Service (AWS)

    Acted as a reviewer for “Journal of Supercomputing – Springer” – Application Level Evidence Building For Cloud Forensics Using Amazon Web Service (AWS), SUPE-D-18-00458 – 23 Nov 2018

  • Journal of The Institution of Engineers (India): Series B -Springer” - Solar Resource Assessment and Life Cycle Cost Analysis of Solar PV in India

    Acted as a paper reviewer for “Journal of The Institution of Engineers (India): Series B -Springer” – Solar Resource Assessment and Life Cycle Cost Analysis of Solar PV in India, IEIB-D-18-00052 – 23 Jul 2018

  • Journal of Supercomputing – Springer” - Remote user authentication and key agreement for mobile client-server environments on elliptic curve cryptography

    Acted as a reviewer for “Journal of Supercomputing – Springer” – Remote user authentication and key agreement for mobile client-server environments on elliptic curve cryptography – SUPE-D-18-00219 – 30 Jun 2018

Research Projects

  • An algorithm approach to overcome multi-tenancy and security related issues in cloud architectures

  • Integration of enterprise service bus (ESB) with Cloud architectures

  • End-to-end ICT based tourism framework for Andhra Pradesh using IoT, Cloud Computing and AI

    An intuitive framework to provide end-to-end services using ICT

    Technologies used:

    AI / Machine Learning / Cloud Computing / IoT

    IoT Security Device with Facial Recognition

    Facial recognition using an IoT device backed by cloud computing designed for Security.

    AI Enabled Social Interactions

    An innovative AI based algorithm to provide better social interactions online

     

  • IoT enabled intelligent chair with Cloud integration

  • CAAS (Cache as a service) in Cloud Architecture

  • AI based algorithm for improving online social interactions using neural networks

  • AI based SEO automated tool using neural networks

  • Neural Networks based data analysis tool using R programming and Python

  • An improved end-to-end private blockchain model with customised cryptocurrency

  • AI Based Cyber Security Bot for Cyber Defence & Cyber Forensics