Dr. Biswaranjan Acharya

Dr. Biswaranjan Acharya

Associate Professor, JKU


  • JK Institute of Technology, JKU
  • Ph. D.
  • Area of Expertise: Computer Science Engieering, AI, Technology, Cloud Computing

Biswaranjan Acharya (Senior Member, IEEE) received his M.Tech. in Computer Science and Engineering from Biju Patnaik University of Technology (BPUT), Odisha, India, in 2012, and his Ph.D. in Computer Science from Veer Surendra Sai University of Technology (VSSUT), Odisha, India, in 2024. He is currently an Associate Professor at Jagadguru Kripalu Institute of Technology, Jagadguru Kripalu University, Cuttack, India. He is also a Research Fellow at INTI International University, Malaysia (2023–2027).

Dr. Acharya has over ten years of academic experience, including service at Ravenshaw University, along with industry exposure in software development. He has authored over 100 research publications and holds more than 70 patents. His research interests include multiprocessor scheduling, data analytics, computer vision, machine learning, and IoT. He served as the Secondary IEEE Computer Society Representative to the IEEE Nanotechnology Council Administrative Committee (2023–2025) and contributes actively to various professional societies.

Q1 Journals
1. Dey, R., Piri, J., Acharya, B., Das, P. P., Gerogiannis, V. C., & Kanavos, A. (2025). A Hybrid Evolutionary Fuzzy Ensemble Approach for Accurate Software Defect Prediction. Mathematics, 13(7), 1140. (Q1, SCIE Indexed, Impact Factor-2.3)
2. Thottempudi, P., Jambek, A. B. B., Kumar, V., Acharya, B., & Moreira, F. (2025). Resilient object detection for autonomous vehicles: Integrating deep learning and sensor fusion in adverse conditions. Engineering Applications of Artificial Intelligence, 151, 110563. (Q1, SCIE Indexed, Impact Factor-7.5)
3. Acharya, B., Panda, S., Das, S., Majhi, S. K., Gerogiannis, V. C., & Kanavos, A. (2025). Optimizing task scheduling in cloud environments: a hybrid golden search whale optimization algorithm approach. Neural Computing and Applications, 1-23. (Q1, SCIE Indexed, Impact Factor-4.8)
4. Thottempudi, P., Acharya, B., & Moreira, F. (2024). High-Performance Real-Time Human Activity Recognition Using Machine Learning. Mathematics, 12(22), 3622. (Q1, SCIE Indexed, Impact Factor-2.3)
5. Aditi, Prasad, V. K., Gerogiannis, V. C., Kanavos, A., Dansana, D., & Acharya, B. (2025). Utilizing convolutional neural networks for resource allocation bottleneck analysis in cloud ecosystems. Cluster Computing, 28(1), 22. (Q1, SCIE Indexed, Impact Factor-3.6)
6. Kumawat, A., Panda, S., Gerogiannis, V. C., Kanavos, A., Acharya, B., & Manika, S. (2024). A Hybrid Approach for Image Acquisition Methods Based on Feature-Based Image Registration. Journal of Imaging, 10(9), 228. (Q1, Scopus Indexed, Impact Factor-2.7)
7. Shah, V., Patel, N., Shah, D., Swain, D., Mohanty, M., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2024). Forecasting Maximum Temperature Trends with SARIMAX: A Case Study from Ahmedabad, India. Sustainability, 16(16), 7183. (Q1, SCIE Indexed, Impact Factor-3.3)
8. Pardhu, T., Kumar, V., Kanavos, A., Gerogiannis, V. C., & Acharya, B. (2024). Enhanced Classification of Human Fall and Sit Motions Using Ultra-Wideband Radar and Hidden Markov Models. Mathematics, 12(15), 2314. (Q1, SCIE Indexed, Impact Factor-2.3)
9. Malik, M., Nandan, D., Prabha, C., Uddin, M., Acharya, B., & Hu, Y. C. (2024). A bio-inspired metaheuristic approach for cloud task scheduling using lateral hyena-based particle swarm optimization. Multimedia Tools and Applications, pp.1-24. (Q1, SCIE Indexed, Impact Factor-3.0)
10. Malik, S., Malik, S., Singh, I., Gupta, H. V., Prakash, S., Jain, R., Acharya, B., & Hu, Y. C. (2024). Deep learning based predictive analysis of energy consumption for smart homes. Multimedia Tools and Applications, pp.1-22. (Q1, SCIE Indexed, Impact Factor-3.0)
11. Swain, D., Kumar, M., Nour, A., Patel, K., Bhatt, A., Acharya, B., & Bostani, A. (2024). Remaining useful life predictor for EV batteries using machine learning. IEEE Access. (Q1, SCI Indexed, Impact Factor-3.476)
12. Ghadekar, P., Pradhan, M. R., Swain, D., & Acharya, B.
(2024). EmoSecure: Enhancing Smart Home Security with FisherFace Emotion Recognition and Biometric Access Control. IEEE Access. (Q1, SCI Indexed, Impact Factor-3.476)
13. Acharya, B., Panda, S., & Ray, N. K. (2024). Multiprocessor Task Scheduling Optimization for Cyber-Physical System Using an Improved Salp Swarm Optimization Algorithm. SN Computer Science, 5(1), 184. (Q1, Scopus Indexed)
14. Mohanty, C., Mahapatra, S., Acharya, B.
, Kokkoras, F., Gerogiannis, V. C., Karamitsos, I., & Kanavos, A. (2023). Using Deep Learning Architectures for Detection and Classification of Diabetic Retinopathy. Sensors, 23(12), 5726. (Q1, SCI Indexed, Impact Factor-3.847)
15. Lingaraju, A. K., Niranjanamurthy, M., Bose, P., Acharya, B., Gerogiannis, V. C., Kanavos, A., & Manika, S. (2023). IoT-Based Waste Segregation with Location Tracking and Air Quality Monitoring for Smart Cities. Smart Cities, 6(3), 1507-1522. (Q1, Scopus, Impact Factor-7.0)
16. Thakur, N., Bhattacharjee, E., Jain, R., Acharya, B., & Hu, Y. C. (2023). Deep learning-based parking occupancy detection framework using ResNet and VGG-16. Multimedia Tools and Applications, 1-24. (Q1, SCI Indexed, Impact Factor-2.577)
17. Swain, D., Parmar, B., Shah, H., Gandhi, A., Acharya, B., & Hu, Y. C. (2023). Enhanced handwritten digit recognition using optimally selected optimizer for an ANN. Multimedia Tools and Applications, 1-16. (Q1, SCI Indexed, Impact Factor-2.577)
18. Swain, D., Rupapara, V., Nour, A., Satapathy, S., Acharya, B.
, Mishra, S., & Bostani, A. (2023). A deep learning framework for the classification of Brazilian coins. IEEE Access. (Q1, SCI Indexed, Impact Factor-3.476)
19. Zala, K., Modi, V., Giri, D., Acharya, B., Mallik, S., & Qin, H. (2023). Unlocking Blockchain Interconnectivity: Smart Contract-driven Cross-Chain Communication. IEEE Access. (Q1, SCI Indexed, Impact Factor-3.476)
20. Gourisaria, M. K., Singh, V., Chatterjee, R., Panda, S. K., Pradhan, M. R., & Acharya, B.
(2023). PneuNetV1: A Deep Neural Network for Classification of Pneumothorax using CXR Images. IEEE Access. (Q1, SCI Indexed, Impact Factor-3.476)
21. Chatterjee, R., Chatterjee, A., Pradhan, M. R., Acharya, B., & Choudhury, T. (2023). A Deep Learning-based Efficient Firearms Monitoring Technique for Building Secure Smart Cities. IEEE Access. (Q1, SCI Indexed, Impact Factor-3.476)
22. Bejoy, B. J., Raju, G., Swain, D., Acharya, B., & Hu, Y. C. (2022). A generic cyber immune framework for anomaly detection using artificial immune systems. Applied Soft Computing, 130,109680. (Q1, SCI Indexed, Impact Factor-8.263)
23. Acharya, B.
, Panda, S., & Sivakumar, E. (2022). An Analytical Study of Multiprocessor Scheduling Using Metaheuristic Approach. SN Computer Science, 3(6), 1-24. (Q1, Scopus)
24. Piri, J., Mohapatra, P., Singh, H. K. R., Acharya, B., & Patra, T. K. (2022). An Enhanced Binary Multi-Objective Hybrid Filter-Wrapper Chimp Optimization based Feature Selection Method for COVID-19 Patient Health Prediction. IEEE Access, 10, 100376-100396. (Q1, SCI Indexed, Impact Factor-3.467)
25. Piri, J., Mohapatra, P., Pradhan, M. R., Acharya, B.
, & Patra, T. K. (2021). A Binary Multi-Objective Chimp Optimizer with Dual Archive for Feature Selection in the Healthcare Domain. IEEE Access, 10, 1756-1774. (Q1, SCI Indexed, Impact Factor-3.467)
26. Piri, J., Mohapatra, P., Acharya, B.*, Gharehchopogh, F. S., Gerogiannis, V. C., Kanavos, A., & Manika, S. (2022). Feature Selection Using Artificial Gorilla Troop Optimization for Biomedical Data: A Case Analysis with COVID-19 Data. Mathematics, 10(15), 2742. (Q1, SCI Indexed, Impact Factor-2.592)
27. Lin, Y. H., Hu, Y. C., Chen, W. L., & Acharya, B. (2021). Reversible self-verifying and self-recovering technique for color image demosaicking. Multimedia Tools and Applications, pp.1-20. (Q1, SCI Indexed, Impact Factor-2.313)

Q2 Journals
28. Devi, M. S., Priya, S., Desai, U., Acharya, B., & Moreira, F. (2025). Enhanced Histopathologic Image Analysis for Mouth Cancer Classification Using Morphological Reconstruction and UNet. Journal of Imaging Informatics in Medicine, 1–24. (Q2, SCIE Indexed, Impact Factor- 4.4)
29. Sahoo, K. K., Patel, T., Swain, D., Gerogiannis, V. C., Kanavos, A., Singh, D. P., Kumar, M. & Acharya, B. (2026). ALIGN: An AI-Driven IoT Framework for Real-Time Sitting Posture Detection. Algorithms, 19(1), 48.
30. Prabha, C., Singh, R., Malik, M., Pradhan, M. R., & Acharya, B. (2025). Advanced Gesture Recognition in Gaming: Implementing EfficientNetV2-B1 for “Rock, Paper, Scissors”. Engineering, Technology & Applied Science Research, 15(3), 23386–23392.
31. Mridha, K., Shukla, M., Acharya, B., Gerogiannis, V. C., Kanavos, A., Priyok, M. A., & Razu, R. H. (2025). Implementing a Heart Disease Prediction Model with Explainable Machine Learning Techniques. SN Computer Science, 6(7), 861. (Q2, Scopus Indexed)
32. Akuthota, Srinath, Ravi Chander Janapati, K. Raj Kumar, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya, Foteini Grivokostopoulou, & Usha Desai. (2024). Enhancing Real-Time Cursor Control with Motor Imagery and Deep Neural Networks for Brain–Computer Interfaces. Information, 15(11), 702. (Q2, SCOPUS Indexed, Impact Factor- 2.4)
33. Zala, K., Thumar, D., Thakkar, H. K., Maheshwari, U., & Acharya, B. (2024). A survey and identification of generative adversarial network technology-based architectural variants and applications in computer vision. International Journal of System Assurance Engineering and Management, 1–22. (Q2, Scopus Indexed, Impact Factor- 1.6)
34. Sabat, N. R., Sahoo, R. R., Pradhan, M. R. & Acharya, B.* (2024). Hybrid technique for optimal task scheduling in cloud computing environments. TELKOMNIKA (Telecommunication Computing Electronics and Control), 22(2), 380–392. (Q2, Scopus Indexed)
35. Sukkar, M., Shukla, M., Kumar, D., Gerogiannis, V. C., Kanavos, A., & Acharya, B.* (2024). Enhancing Pedestrian Tracking in Autonomous Vehicles by Using Advanced Deep Learning Techniques. Information, 15(2), 104. (Q2, Scopus Indexed, Impact Factor- 3.1)
36. Ghosh, S., Sagayam, K. M., Haldar, D., Jone, A. A. A., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2024). A review on the types of nanomaterials and methodologies used for the development of biosensors. Advances in Natural Sciences: Nanoscience and Nanotechnology, 15(1), 013001. (Q2, Scopus Indexed, Impact Factor- 2.1)
37. Majumder, A. B., Gupta, S., Singh, D., Acharya, B., Gerogiannis, V. C., Kanavos, A., & Pintelas, P. (2023). Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers. Algorithms, 16(12), 538. (Q2, Scopus Indexed, Impact Factor- 2.3)
38. Prasad, V. K., Dansana, D., Bhavsar, M. D., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2023). Efficient Resource Utilization in IoT and Cloud Computing. Information, 14(11), 619. (Q2, Scopus Indexed, Impact Factor- 3.1)
39. Majhi, S. K., Panda, A., Srichandan, S. K., Desai, U., & Acharya, B.
(2023). Malware image classification: comparative analysis of a fine-tuned CNN and pre-trained models. International Journal of Computers and Applications, 45(11), 709–721. (Q2, Scopus)
40. Mathesul, S., Swain, D., Satapathy, S. K., Rambhad, A., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2023). COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques. Algorithms, 16(10), 494. (Q2, Scopus Indexed, Impact Factor- 2.3)
41. Chhabra, A., Arora, M., Sharma, A., Singh, H., Verma, S., Jain, R., Acharya, B., Gerogiannis, V. C., Tzimos, D., & Kanavos, A. (2023). Classifying Hindi News Using Various Machine Learning and Deep Learning Techniques. International Journal on Artificial Intelligence Tools. (Q2, SCIE Indexed, Impact Factor- 1.1)
42. Garg, M., Gajjar, P., Shah, P., Shukla, M., Acharya, B.
, Gerogiannis, V. C., & Kanavos, A. (2023). Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation. Information, 14(10), 527. (Q2, Scopus Indexed, Impact Factor- 3.1)
43. Martis, J. E., Shetty, S. M., Pradhan, M. R., Desai, U., & Acharya B.* (2023). Text-to-Sketch Synthesis via Adversarial Network. Computers, Materials & Continua, 76(1), 917–938. (Q2, SCI Indexed, Impact Factor- 3.860)
44. Saha, A., Babu, N. R., Dash, P., Acharya, B., Bhaskar, M. S., & Khan, B. (2023). Dynamic stability assessment of interconnected thermal–SsGT–solar photovoltaic–EV power system with ARO optimized IDN–FOID amalgamated controller. IET Renewable Power Generation. (Q2, SCI Indexed, Impact Factor- 3.034)
45. Piri, J., Mohapatra, P., Dey, R., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2023). Literature Review on Hybrid Evolutionary Approaches for Feature Selection. Algorithms, 16(3), 167. (Q2, Scopus Indexed, Impact Factor- 2.3)
46. Joseph, S. M., Swain, D., Das, O. P., & Acharya, B.
(2023). Ear Recognition Using Rank Level Fusion of Classifiers Outputs. International Journal of Online & Biomedical Engineering, 19(3). (Q2, Scopus)
47. Rai, S. C., Nayak, S. P., Acharya, B., Gerogiannis, V. C., Kanavos, A., & Panagiotakopoulos, T. (2023). ITSS: An Intelligent Traffic Signaling System Based on an IoT Infrastructure. Electronics, 12(5), 1177. (Q2, SCI Indexed, Impact Factor- 2.69)
48. Swain, Debabrata, Utsav Mehta, Ayush Bhatt, Hardeep Patel, Kevin Patel, Devanshu Mehta, Biswaranjan Acharya
, Vassilis C. Gerogiannis, Andreas Kanavos, & Stella Manika. (2023). A Robust Chronic Kidney Disease Classifier Using Machine Learning. Electronics, 12(1), 212. (Q2, SCI Indexed, Impact Factor- 2.69)
49. Swain, D., Satapathy, S., Acharya, B., Shukla, M., Gerogiannis, V. C., Kanavos, A., & Giakovis, D. (2022). Deep Learning Models for Yoga Pose Monitoring. Algorithms, 15(11), 403. (Q2, Scopus Indexed, Impact Factor- 2.3)
50. Singh, R. S. S., Anand, T. J. S., Anas, S. A., & Acharya, B. (2023). A Real-Time Analytic Face Thermal Recognition System Integrated with Email Notification. Engineering, Technology & Applied Science Research, 13(1), 9961–9967. (Q2, Scopus)
51. Mishra, D. B., Acharya, B.
, Rath, D., Gerogiannis, V. C., & Kanavos, A. (2022). A Novel Real Coded Genetic Algorithm for Software Mutation Testing. Symmetry, 14(8), 1525. (Q2, SCI Indexed, Impact Factor- 2.940)

Q3 Journals
52. Doshi, T., Patel, V., Shah, N., Swain, D., Swain, D., & Acharya, B.* (2025). PhishHunter-XLD: An ensemble approach integrating machine learning and deep learning for phishing URL classification. Franklin Open, 100349. (Q3, Scopus Indexed)
53. Chauhan, T., Shukla, M., Katkar, V., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2025). Leveraging Advanced Deep Learning Algorithms for Corn Leaf Disease Detection. International Journal on Artificial Intelligence Tools. (Q3, SCIE Indexed, Impact Factor-1)
54. Swain, D., Mehta, U., Mehta, M., Vekariya, J., Swain, D., Gerogiannis, V. C., Kanavos, A., & Acharya, B. (2024). Differential diagnosis of erythemato-squamous diseases using a hybrid ensemble machine learning technique. Intelligent Decision Technologies, 18(2), pp. 1495–1510. (Q3, Scopus Indexed, Impact Factor-0.6)
55. Zala, K., Acharya, B., Mashru, M., Palaniappan, D., Gerogiannis, V. C., Kanavos, A., & Karamitsos, I. (2024). Transformative Automation: AI in Scientific Literature Reviews. International Journal of Advanced Computer Science and Applications, 15(1). (Q3, Scopus Indexed)
56. Wahid, F. F., K, S., G, R., Acharya, B., Pradhan, M. R. (2021). A Novel Threshold based Method for Vessel Intensity Detection and Extraction from Retinal Images. International Journal of Advanced Computer Science and Applications, 12(6), pp. 546–554. (Q3, Scopus)
57. Acharya, B., Ghosh, A., Panda, S., & Hu, Y. C. (2023). Automated Plant Recognition System with Geographical Position Selection for Medicinal Plants. Advances in Multimedia, 2023. (Q3, Scopus)
58. Wahid, F. F., Raju, G., Joseph, S. M., Swain, D., Das, O. P., & Acharya, B.
(2023). A Novel Fuzzy-Based Thresholding Approach for Blood Vessel Segmentation from Fundus Image. Journal of Advances in Information Technology, 14(2). (Q3, Scopus)
59. P. P. Ghadekar, S. Joshi, D. Swain, B. Acharya, M. R. Pradhan, P. T. Patro. (2021). Automatic Digitization of Engineering Diagrams using Intelligent Algorithms. Journal of Computer Science, 17(9), pp. 833–838. (Q3, Scopus)
60. Acharya, B., Jena, A. K., Chatterjee, J. M., Kumar, R., & Le, D. N. (2019). NoSQL Database Classification: New Era of Databases for Big Data. International Journal of Knowledge-Based Organizations (IJKBO), 9(1), pp. 50–65. (Q3, Scopus)

Q4 Journals
61. Palaniappan, D., Gerogiannis, V. C., Kanavos, A., Zala, K., & Acharya, B. (2025). Investigating the Use of Long Short-Term Memory Networks for Dynamic Movie Recommendation Systems. ECTI Transactions on Computer and Information Technology (ECTI-CIT), 19(3), pp. 468–484.
62. D. Swain, B. Parmar, H. Shah, A. Gandhi, H. Kaur, M. R. Pradhan, B. Acharya (2022). Cardiovascular Disease Prediction using Various Machine Learning Algorithms. Journal of Computer Science, 18(10), pp. 993–1004. (Q4, Scopus)
63. Raju, G., Nikesh, P., Resmi, K. R., Swain, D., Acharya, B., Gerogiannis, V. C., & Kanavos, A. (2024). Advanced Machine Learning Techniques for Detecting Irregularities in Skin Lesion Borders: Enhancing Early Skin Cancer Detection. International Journal on Artificial Intelligence Tools. (Q4, SCIE Indexed, Impact Factor-1.0)
64. Acharya, B. R.* & Gantayat, P. K. (2015). Recognition of human unusual activity in surveillance videos. International Journal of Research and Scientific Innovation (IJRSI), 2, pp. 18–23. 

© 2026. All Rights Reserved. Jagadguru Kripalu University, Odisha.