Sudhansu Ranjan Lenka

Having more than 23 years of teaching experience in degree engineering colleges under BPUT and seeking a position to utilize my skills to create revolution in the world of teachers and students, basically intended to create motivation in students for learning.

• NPTEL certified in the course Deep Learning securing 82% of marks in April 2024.
• NPTEL certified in the course Data Science for Engineers securing 78% of marks in September 2023.
• Reviewed the manuscript for the Journal of International Financial Markets, Institutions & Money, Elsevier in Nov. 2022.
• NPTEL certified in the course Design and Analysis of Algorithms securing 66% of marks in March 2023.
• NPTEL certified in the course Programming, Data Structures and Algorithms Using Python securing 84% of marks in Sep 2022.
• NPTEL certified in the course Introduction to Machine Learning securing 66% of marks in Dec 2020.
• Received Best Paper award in the 3rd IEEE International Conference on Emerging Smart Computing and Informatics (ESCI-2020) on the paper 'An effective credit scoring model by optimal feature selection scheme'.
• Qualified in GATE 2012 with AIR 11082 in Computer Science & Engineering.
• Conducted 2 days' National Seminar on Recent Trends in Data Warehousing and Data Mining (NSDWDM-2010) as an organizing member during March 17-18, 2010 at Raajdhani Engineering College, Bhubaneswar.
• Coordinated 2 weeks AICTE sponsored FDP on Current Trends and Practices in Artificial Intelligence and Machine Learning during 8-20 July 2019 at Trident Academy of Technology, Bhubaneswar.
• Coordinated 1 week AICTE sponsored FDP on Cloud Computing and IoT during 2nd-7th July 2018 at Trident Academy of Technology, Bhubaneswar.
• Attended 2 weeks' workshop on Role of Data Science in IoT application domain during November 27-9th December, 2017 at Trident Academy of Technology, Bhubaneswar.
• Attended 1 day seminar on Enabling Transformation in Skill Building with Artificial Intelligence and Machine Learning conducted by CTTC, Bhubaneswar in collaboration with Amazon Internet Services Pvt Ltd on 02.11.2019.
• Attended 5 days FDP on Data Sciences conducted by AICTE Training and Learning (ATAL) Academy from 14-12-2020 to 18-12-2020 at Central University of Punjab.

• Machine Learning
• Soft Computing
• Data Structure
• Computer Graphics
• Design & Analysis of Algorithms
• Compiler Design
• Operating System
• Theory of Computation

• Ph.D., Computer Science & Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India, 2024
• M. Tech., Computer Science & Engineering, KIIT University, Bhubaneswar, Odisha, India, 2009
• B.E., Computer Science & Engineering, VSSUT, Burla, Burla, Odisha, India, 2000

• Title: Assistant Professor
• Date of Birth: 02/04/1976
• Gender: Male
• Nationality: Indian
• Marital Status: Married

Trident Academy of Technology, Bhubaneswar

• International Journal, Multiple Optimized Ensemble Learning for High-Dimensional Imbalanced Credit Scoring Datasets, Knowledge and Information Systems, Springer, 2024, https://doi.org/10.1007/s10115024-02129-z, SCIE indexed
• International Journal, A-RDBOTE: An improved oversampling technique for imbalanced credit scoring datasets, Risk Management, Elsevier, 2023, https://doi.org/10.1057/s41283-023-00128-y, Scopus indexed
• International Journal, Empirical Analysis of Ensemble Learning for Imbalanced Credit Scoring Datasets: A Systematic Review, Wireless Communications and Mobile Computing, Springer, 2022, 10.1155/6302, Scopus indexed
• International Journal, A Review on Novel Approach to Handle Imbalanced Credit Card Transactions, International Journal of Engineering Trends and Technology (IJETT), 2018, 10.14445/22315381/IJETT-V6P214, Scopus indexed
• International Journal, HTTP service based Network Intrusion Detection System in Cloud Computing, International Journal of Computer Science & Engineering, 2015
• International Journal, Enhancing Data Seurity in Cloud Computing Using RSA Encryption and MD5 Algorithm, International Journal of Computer Science Trends and Technology, 2014
• International Conference, A Novel Oversampling Technique for Imbalanced Credit Scoring Datasets, International Conference on Intelligent Systems and Machine Learning (ICISML 2022), Hyderabad, 2022, Springer
• International Conference, An effective credit scoring model by optimal feature selection scheme, 3rd IEEE International Conference on Emerging Smart Computing and Informatics (ESCI-2020), Pune, 2021, IEEE
• International Conference, Representative-based Cluster Undersampling Technique for Imbalanced Credit Scoring Datasets, 2nd International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2022), Jaipur, 2021, Springer
• International Conference, Investigation into the efficacy of various machine learning techniques for mitigation in credit card fraud detection, International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), Surathkal, 2020, Springer
• International Conference, Modified Decision Tree Learning for Cost-Sensitive Credit Card Fraud Detection Model, International Conference on Advanced Communication & Computational Technology (ICACCT), Kurukshetra, 2019, Springer
• National Conference, Investigations into the Efficacy of Open Spatial DSS Tools, National Seminar on Recent Trends in Data Warehousing and Data Mining, Bhubaneswar, 2010

• Reading Magazines
• Surfing Knowledgebase Sites