Dr. Nibedita Adhikari

Phd Guidance– 4 Awarded, 2 submitted and 2 On going
PG (Mtech, MCA) Thesis Guided– 36 no.s

• Journal Publications (34)
  • Optimization of Job Scheduling in a Machine Shop Using Genetic Algorithm, Journal of The Institution of Engineers, India, 2002.
  • The Folded Crossed Cube: A New Interconnection Network for Parallel Systems, International Journal of Computer Applications, 2010.
  • Metacrossedcube: A New Interconnection Topology for Large Scale Parallel Systems, 2011.
  • On a New Multicomputer Interconnection Topology for Massively Parallel Systems, 2011.
  • On a New Interconnection Network for Large Scale Parallel Systems, 2011.
  • Star Varietal Cube: A New Large Scale Parallel Interconnection Network, 2011.
  • Star Crossed Cube: An Alternative to Star Graph, 2014.
  • Prediction of Discharge in Straight Compound Channels using Conventional and Soft Computing Tools, 2017.
  • Extended Crossed Cube: A New Fault Tolerant Interconnection Network, 2017.
  • An Approach to Execution of Partial Reconfiguration in FPGA using Xilinx PlanAhead, 2017.
  • Machine Learning Approach for Discharge Estimation in Compound Channels, 2018.
  • Implementation and Analysis of Partial Reconfiguration based Xilinx ISE Design of Processor Peripherals, 2018.
  • Impact of Organizational Culture in a Changing Scenario, 2018.
  • Genetic Programming for Discharge Modeling, 2019.
  • System on Chips Design for Internet of Things using Partial Reconfiguration, 2019.
  • Responsive Organisational Culture and Industrial Relations, 2019.
  • Accelerator Design for Ethernet and HDMI IP Systems for IoT, 2019.
  • Reliable and Fault-Tolerant Design of LeafyCube Network Topology, 2019.
  • A Low Overhead Image Registration Algorithm for Embedded Systems, 2019.
  • Extended Double Star: A High Performance Parallel Big Data Network, 2023.
  • Discharge Assessment of Compound Channels using Genetic Programming, 2019.
  • Folded Leafy Cube for Big Data Computing, 2022.
  • Extended Tor-Cube for Massive Computing, 2022.
  • Graph Theoretical Properties of Extended Double Star Network, 2023.
  • Robust Rectilinear Steiner Tree Construction using Genetic Algorithm, 2023.
  • Machine Learning Method for DDoS Attack Defense in IoT Networks, 2023.
  • Tetrahedral Hyper-Cube for Massive Parallel Processing, 2023.
  • Leafy Tor-Cube for High Performance Computing, 2023.
  • AMST: Accelerated Minimum Spanning Tree for Scalable Data, 2023.
  • Hyper Double Star Interconnection Network for HPC Systems.
  • Unlocking Modern VLSI Placement with GPU Acceleration and Deep Learning, 2024.
  • A Noble Rectilinear Steiner Tree with Obstacles using Parallel DQN, 2025.
  • Enhancing VLSI Placement Efficiency through Parameter Optimization, 2025.
  • On Performance Analysis of Metacrossed Cube for Massive Computing (Accepted, Springer Nature).
• Conference Publications (37)
  • Automated Test Data Generation, TECHNOLOGIA-2004.
  • Neural Networks: An Improved Tool for Software Effort Estimation, NSTASC04.
  • Chat Security, NSACT-07.
  • Folded Dual Cube: A New Interconnection Topology for Parallel Systems, ICIT 2008.
  • Folded Metacube: An Efficient Large Scale Parallel Interconnection Network, IEEE IACC 2009.
  • Extended Crossed Cube: Improved Fault Tolerant Interconnection Network, IEEE INC 2009.
  • Performance and Topological Properties of Folded Crossed Cube, ICIT 2009.
  • Topological Properties of a Star Based Large Scale Parallel System, ETNCC 2011.
  • Metastar: A Massive Large Scale Parallel Interconnection Network, ETNCC 2011.
  • Properties of a Clustered Network, NCRTDM 2011.
  • MStar: A New Two-Level Interconnection Network, ICDCIT 2012.
  • Parallel Processing and Architecture, ICCSN 2012.
  • FPGA Partial Reconfiguration with Xilinx PlanAhead, IEEE ITEC India 2017.
  • Shear Force Analysis for Discharge Estimation (Best Paper Award), Springer, 2018.
  • Scalability of Parallel Interconnection Network Topologies, Springer, 2018.
  • Extension of Star Based Parallel Interconnection Networks, Paris, 2018.
  • Discharge Estimation in Rough Compound Channels, Paris, 2018.
  • LeafyCube: A Novel Hypercube Derivative for Parallel Systems, Springer.
  • Analysis and Design of Ethernet to HDMI Gateway using Xilinx Vivado, Springer.
  • A Simple IoT Framework for Ambient Air Quality Monitoring.
  • Leafy Crossed Cube: Efficient PIN for High Speed Computing.
  • Double Star: A High Performance Network for Big Data.
  • Folded Leafy Cube: High Performance Computing Derivative.
  • A Fuzzy Approach for Accident Prediction in IoT Mining Systems.
  • Evaluation of Requirements for IoT Systems.
  • Load Balanced Double Star Architecture for Data Intensive Applications.
  • Ringged Star: Large Scale Computing System for Big Data.
  • Design and Analysis of Reconfigurable SoC for IoT.
  • Long-Term Forecasting of Rainfall for Brahmani River Basin.
  • Optimized and Scalable Framework for Cloud Computing, ICDAI 2024.
  • STH vs THS: Lower Diameter for Massive Computing, ICAIET 2025.
  • Scalable Performance of Recent VLSI Routing Algorithms, CCPIS 2025.
  • Attention-Based Framework for Automated VLSI Placement, CCPIS 2025.
  • Lightweight DDoS Prevention for IoT Devices, IC-CGU 2025.
  • Hybrid Trust and ML-Based IoT Security Framework, IC-CGU 2025.
  • Explainable ML Framework for Rank Attack Detection in IoT Networks, ISICVA 2025.
  • Tetrahedral Crossed Cube: Scalable HPC Architecture, ICETCI 2026.

At UG Level

• Parallel and Distributed Systems
• Advanced Computer Architecture
• Microprocessor and Assembly Language Programming
• Computer System Architecture
• Computer Networks
• Software Engineering
• Simulation and Modeling
• Computer Organization, Architecture and Organization
• Operating Systems
• E-Commerce
• Information Technology
• Analysis and Design of Algorithms
• Artificial Intelligence
• Mobile Computing
• Data Analytics

At PG Level

• Microprocessor
• Computer System Architecture (CSA)
• Advanced Computer Architecture
• Advanced Operating Systems (AOS)
• Computer Graphics
• Software Engineering
• Data Science
• Mobile Computing
• Parallel and Distributed Systems

• Dr. Ipseeta Nanda, Intern candidate, (Biju Patnaik university of Technology, Odisha) – ECE/Parallel Reconfiguration of Low power System on Chip Design for Internet of Things, Summer 2016 PhD. Awarded under  the Biju Patnaik university of Technology, Odisha in 2019.
• Dr. Sadashib Pati, Ph.D. candidate, (Usha Martin University, Ranchi) – Computer Application/ A STUDY ON STAR BASED PARALLEL SYSTEM FOR BIG DATA, March 2024.

Currently working as Associate Professor, CSE Dept, Sarala Birla University, Ranchi, Jharkhand- 835103.

• Dr. Rashmita Padhi, Ph.D. Utkal University, Computer Application/ “STUDY OF INTERCONNECTION NETWORKS FOR HIGH PERFORMANCE COMPUTING” Awarded Oct 2024.

Presently working as Lecturer, IMCA Dept, Utkal University.

• Chitta Ranjan Mohapatra, Ph.D. candidate, Computer Sc and Engg. / “HIGH PERFORMANCE ALGORITHMS FOR VLSI PHYSICAL DESIGN”. Currently working as Asst Professor, Dept of CSE, Silicon University, Bhubaneswar, Odisha.
• Amardeep Dash, Ph.D. candidate, Computer Sc and Engg., / “Energy Efficient Network Layer Attack Detection and Mitigation Approach for IOT Networks”. Currently working as Asst Professor, CV Raman Global University, Bhubaneswar, Odisha.
• Akshaya Kumar Dash, Ph.D. candidate, Computer Sc and Engg., / “Efficient Algorithms for Mix Size Placement in VLSI Design”. Currently working as Asst Professor, SOA University, Bhubaneswar, Odisha.
• Debi Prasad Mishra, Ph.D. candidate, Computer Sc and Engg., / “Performance Improvement of DDOS Attack Detection in IOT Networks”. Currently working as Asst Professor, OUTR, Bhubaneswar, Odisha.

Mtech Students Guided:

-Expert Talk delievered at IEI, Rourkela Chapter on “NETBOOK OS”.

– Invited talk at RIMS, Rourkela Presented “Soft Computing Technique and Its Application in Research ” / WORKSHOP on Soft Computing on 08.03.2017

– Invited talk at the RTSCA2K17, Workshop on Soft Computing at GIET, Baniatangi, Odisha

– Expert Talk Delievered at GIET, Baniatangi on Application of IOT in Europian Road Transport- A Case Study in National Workshop on IOT during Feb 2018.

-RESSEN2018 TEQIP III  Sponsored Workshop  organized as Convener on 26.12.2018 in Biju Patnaik University of Technology, Odisha

• Best paper award nomination, International Conference on Soft Computing and Data Analytics, 2018 .

Member in Professional Body

OITS

CSI

IE, India

Journal Review

Patents

CQEMS (Continuous Quality Evaluation and Monitoring Systems)

A multidisciplinary platform for improving quality of Technical Education in Odisha as well as in India. It aims to involve faculties of Technical Institutions in CSR activities to upgrade the student community during the pandemic. The students of any stream any branch can enhance their understanding of the subjects and make themselves Industry Ready through a flexible at Any Time Learning approach.

Website: cqems.in

WILD ORCHID: A Personalized Fashion Consultancy for every one for every occasion. Fashion Blogging and Dress Designing.  Mobile App is under development.

Website: wildorchid.in

MO SURAKSHYA: An initiative for IOT based personal safety under continuous monitoring. The main idea is to provide help to anybody in distress and save lives. Copyright of the Idea is already granted. Patent is under processing.

Website: mosurakshya.com