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

  BE

  Electronics & Telecommunication Engineering
  Biju Patnaik University of Technology, Odisha  |  2003  |  Aggregate: 74.88%

• Academic Experience
  
  • Assistant Professor, Birla School of Management, Birla Global University, Bhubaneswar (Currently)
  • Dean & Associate Professor, School of Information System, ASBM University, Bhubaneswar (May 2024 – December 2025)
  • Dean-in-charge & Associate Professor, School of Information System, ASBM University, Bhubaneswar (Oct 2021 – May 2024)
  • Assistant Professor, Electronics & Telecommunication Engineering, Orissa Engineering College, Bhubaneswar (Nov 2005 – Oct 2021)
  • Corporate Trainer, IBM Mainframe Platform, M. M. Softwares, Bhubaneswar (Aug 2003 – Jul 2005)
• 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 interest

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

  Teaching Courses

  • Business Analytics / MBA — Business Analytics and AI for MBA students, and 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
• 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 Papers
  
  • 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. https://doi.org/10.1002/cpe.70195
  • R. Mohanty et al., “Missing Value Estimation Methods for Classification of Arrhythmia using Deep Learning: Review Study”, Elsevier – African Journal of Biological Science, Vol. 6, Issue Si3, pp 3130-3151, 2024 (SCOPUS Indexed)
  • 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 (SCIE/SCI Indexed)
  • R. Mohanty et al., “NAMSTCD: A Novel Augmented Model for Spinal Cord Segmentation and Tumor Classification Using Deep Net”, Diagnostics, MDPI, Vol. 13, Issue 1417, pp 1-17, 2023 (SCIE/SCI Indexed)
  • R. Mohanty et al., “Software Reliability Reckoning by Applying Neural Network Algorithm”, Journal of Information and Optimization Sciences, Vol. 43, Issue 5, 2022 (SCOPUS Indexed)
  • R. Mohanty, S. K. Pani, A. T. Azar, “Recognition of Livestock Disease Using Adaptive Neuro-Fuzzy Inference System”, IJSKD, Vol. 13, Issue 4, 2021 (SCOPUS Indexed)
  • R. Mohanty, B. K. Mallik, S. S. Solanki, “Automatic Bird Species Recognition System using Neural Network based on Spike”, Applied Acoustics, 2020 (SCIE/SCI Indexed)
  • R. Mohanty et al., “Normalized Approximate Descent used for Spike based Automatic Bird Species Recognition System”, Springer – International Journal of Speech Technology, 2020 (SCIE/SCI Indexed)
  • R. Mohanty et al., “Recognition of Bird Species Based on Spike Model using Bird Dataset”, Data in Brief, 2020 (SCOPUS Indexed)
  • R. Mohanty, S. S. Solanki, “Denoising Poultry Bird Sound Using Wavelet”, IJSART, Vol. 3, Issue 6, 2017
  • R. Mohanty, M. Dash, “Cuckoo Search Algorithm for Speech Recognition”, IJARCET, Vol. 3, Issue 10, 2014
  • R. Mohanty et al., “Learning in Wireless Sensor Networks for Environmental Monitoring”, IOSR Journal, Vol. 9, Issue 4, 2014
  • R. Mohanty et al., “Mobile Ad Hoc Networks for Ubiquitous Computing: Review”, IJSRT, Vol. 3, Issue 3, 2014
  • R. Mohanty et al., “Efficient Algorithms for Maximizing Lifetime in Wireless Sensor Networks”, IJETR, Vol. 2, Issue 6, 2014
  • R. Mohanty, M. Dash, “Quality-of-Survey Routing Solutions for Mobile AdHoc Networks: A Review”, IOSR Journal, Vol. 9, Issue 2, 2014
• Conference Presentations & Book Chapters
  
  • R. Mohanty, B. K. Mallik, S. S. Solanki, “Parametric Representations of Automatic Bird Call Recognition Systems using Gaussian Mixture Model”, IEEE CRIEECE Conference, KIIT, Bhubaneswar, 2018
  • R. Mohanty et al., “Bird Species Recognition using Spiking Neural Network with Temporal Encoding”, IEEE ICNTET Conference, Tamil Nadu, 2018
  • R. Mohanty, S. S. Solanki, “Intelligent Bird Recognition using Spiking Neural Network”, 5th International Conference on Microelectronics, Circuit and Systems, 2018
  • R. Mohanty et al., “Automatic Bird Species Recognition based on Spiking Neural Network”, NCCS Conference, Ranchi, 2018
  • R. Mohanty et al., “Assessment of Software Quality using Machine Learning Techniques”, METASOFT Conference, SOA University, Bhubaneswar, 2022
  • R. Mohanty, S. K. Pani, “Empirical Enhancement of EEG Classification Models for Epileptic Seizures using a Fuzzy Statistical Perspective”, CONF-CDS 2023
  • R. Mohanty et al., “Blockchain-Informed Resource Management for Sustainable Innovation in Industry 5.0”, ICFIFS-25 Conference, 2025
  • R. Mohanty et al., “Automatic Bird Species Recognition based on Spiking Neural Network”, Springer, Lecture Notes in Electrical Engineering, Vol. 652, pp 343-353, 2020
  • R. Mohanty et al., “A Classification Model based on Adaptive Neuro-Fuzzy Inference System for Disease Prediction”, Springer, Bio-inspired Neurocomputing, Vol. 903, pp 131-149, 2020
  • R. Mohanty, S. K. Pani, “Livestock Health Monitoring using Smart IoT Enabled Neural Network Recognition System”, Elsevier, 2021
  • R. Mohanty, S. K. Pani, “Incremental Variance Learning based Ensemble Classification Model for Neurological Disorders”, Elsevier, 2022
  • R. Mohanty, S. K. Pani, “Enhancing Diabetic Maculopathy Classification using Deep Learning and Attention Mechanisms”, Elsevier, 2024