Brief Profile

Dr. Ricky Mohanty is an accomplished academician, researcher, and technology innovator with over 20 years of teaching experience at the undergraduate and postgraduate levels in Information Technology. She holds a Ph.D. in Engineering from Birla Institute of Technology, Mesra, Ranchi, specialising in Pattern Recognition and Neural Networks, with a doctoral thesis on the classification of bird species. At Birla Global University’s Birla School of Management, she brings deep interdisciplinary expertise spanning Artificial Intelligence, Machine Learning, Business Analytics, IoT, and Blockchain technologies. She is the recipient of two Indian Design Patents and has published extensively in SCIE/SCI and Scopus-indexed international journals. Her research contributions span neural networks, deep learning, healthcare diagnostics, signal processing, and distributed systems.

• Educational Qualifications
  

  Ph.D.

  Engineering (Pattern Recognition & Neural Networks), Birla Institute of Technology, Mesra, Ranchi, India

  Thesis: “Classification of Bird Species” | Awarded: January 2021

  M.Tech

  Electronics & Communication Engineering

  Biju Patnaik University of Technology, Odisha | 2010 | CGPA: 8.03

  B.E.

  Electronics & Telecommunication Engineering

  Biju Patnaik University of Technology, Odisha | 2003 | Aggregate: 74.88%

• Area of Interest and Research
  

  Areas of Interest

  • Business Analytics
  • Artificial Intelligence
  • Machine Learning
  • IoT & Embedded Systems
  • Data Structures & DBMS
  • Digital Signal Processing
  • Operating Systems
  • Python Programming

  Research Interests

  • Pattern Recognition & Neural Networks
  • Deep Learning for Healthcare
  • Blockchain & Distributed Systems
  • Speech & Bird Sound Recognition
  • Spiking Neural Networks
  • Software Reliability
• Teaching Courses
  

  Business Analytics / MBA

  • Business Analytics and AI for MBA students
  • Programming using Computer in Research for PhD scholars

  AI / ML

  • Artificial Intelligence at both PG and MBA levels

  Computer Science / IT

  • R Programming
  • Python Programming
  • C Programming
  • Data Structures
  • DBMS
  • Operating Systems
  • AI
  • ML
  • IoT

  Electronics & Signal Processing

  • Digital Logic Design
  • Microprocessor & Microcontroller
  • DSP
  • Speech Processing
  • Speech Recognition
  • Embedded Systems
  • DVLSI
• Experience
  

  Currently

  Assistant Professor, Birla School of Management

  Birla Global University, Bhubaneswar

  May 2024 – December 2025

  Dean & Associate Professor, School of Information System

  ASBM University, Bhubaneswar

  Oct 2021 – May 2024

  Dean-in-charge & Associate Professor, School of Information System

  ASBM University, Bhubaneswar

  Nov 2005 – Oct 2021

  Assistant Professor, Electronics & Telecommunication Engineering

  Orissa Engineering College, Bhubaneswar

  Aug 2003 – Jul 2005

  Corporate Trainer, IBM Mainframe Platform

  M. M. Softwares, Bhubaneswar

• Recognition and Awards
  
  • Best Research Award — International Research Awards on New Science Inventions (NESIN 2021), Science Father
  • Best Teacher Award — Orissa Engineering College, 2010
• Patents
  
  • IoT-Enabled Smart Waste Management Bin — Indian Design Patent, Granted: 10 December 2024
  • IoT-Based Automatic Biomedical Dispenser — Indian Design Patent (Application No. 400030-001), Published & Granted: 12 January 2024
• Book
  
  • R. Mohanty et al. — Emerging Trends in Wireless Communication: IoT and Beyond, Black Horse Publish, ISBN: 978-93-48460-70-7, 2024.
• Research Funding and Consulting
  

  Nil

• Research Papers – Journals
  
  • R. Mohanty et. al., “LWC2S2C: An Efficient Light-Weight Consensus Model for Context-Sensitive Sidechains in Blockchain Networks”, Wiley-Concurrency and Computation: Practice and Experience, pp-1-13, June 2025.
  • R. Mohanty et. al., “Missing Value Estimation Methods for Classification of Arrhythmia using Deep Learning: Review Study”, Elsevier-African Journal of Biological Science, Volume 6, Issue Si3, pp-3130-3151, 2024.
  • R. Mohanty et. al., “Bird Species Recognition using Spiking Neural Network along with Distance Based Fuzzy Co-Clustering”, Springer-International Journal of Speech Technology, Vol. 26, Issue 3, pp 681-694, 2023.
  • R. Mohanty et.al., “NAMSTCD: A Novel Augmented Model for Spinal Cord Segmentation and Tumor Classification Using Deep net”, Diagnostics, MDPI, Volume 1417, Issue13, pp 1-17, 2023.
  • R. Mohanty et.al., “Software reliability reckoning by applying neural network algorithm”, Journal of Information and Optimization Sciences, Volume 43, Issue 5, 2022.
  • R. Mohanty, S. K. Pani, A. T. Azar, “Recognition of Livestock Disease Using Adaptive Neuro-Fuzzy Inference System”, International Journal of Sociotechnology and Knowledge Development (IJSKD), Volume 13, Issue 4, 2021.
  • R. Mohanty, B. K. Mallik, S. S. Solanki, “Automatic bird species recognition system using neural network based on spike”, Applied Acoustics, 161, 2020.
  • R. Mohanty, B. K. Mallik, S. S. Solanki, “Normalized approximate descent used for Spike based Automatic Bird Species Recognition System”, Springer-International Journal of Speech Technology, 2020.
  • R. Mohanty, B. K. Mallik, S. S. Solanki, “Recognition of Bird Species Based on Spike Model using Bird Dataset”, Data in Brief, 29, 2020.
  • R. Mohanty, S. S. Solanki, “Denoising Poultry Bird Sound Using Daubiche and Symlet Wavelet”, International Journal for Science and Advance Research in Technology, Volume 3, Issue 6, 2017.
• Conference Presentations & Book Chapters
  
  • “Parametric representations of Automatic Bird call recognition systems using Gaussian Mixture model”, IEEE Conference, KIIT University, Bhubaneswar, 2018.
  • “Birds Species Recognition using Spiking Neural Network with Temporal Encoding”, IEEE Conference, Tamil Nadu, 2018.
  • “Intelligent Bird Recognition using Spiking Neural Network”, International Conference on Microelectronics, Circuit and Systems, 2018.
  • “Assessment of Software Quality using Machine Learning Techniques”, METASOFT-2022 Conference, SOA University, Bhubaneswar.
  • “Empirical enhancement of EEG classification models for epileptic seizures using a fuzzy statistical perspective”, CONF-CDS 2022.
  • “Blockchain-Informed Resource Management for Socially Inclusive and Sustainable Innovation Contribution in Industry 5.0”, ICFIFS-25, 2025.

  Book Chapters

  • “Automatic Bird Species Recognition based on Spiking Neural Network”, Springer Lecture Notes in Electrical Engineering, Vol. 652, 2020.
  • “A Classification Model based on an adaptive Neuro-Fuzzy Inference System for Disease Prediction”, Springer Book Chapter, 2020.
  • “Livestock Health Monitoring using a Smart IOT enabled Neural Network Recognition System”, Elsevier Book, 2021.
  • “Incremental variance learning based ensemble classification model for neurological disorders”, Elsevier Book, 2022.
  • “Enhancing diabetic maculopathy classification through a synergistic deep learning approach”, Elsevier Book, 2024.