Assistant Professor

Dr. Diwakar Tripathi

Department of Computer Science Engineering

Interests

  1. Machine Learning
  2. Soft Computing
  3. Computer Vision

Education

2009

The Institution of Electronics and Telecommunication Engineers (IETE), New Delhi
India
Bachelors

2014

Institute of Engineering and Technology, Devi Ahilya Vishwavidyalaya Indore, Madhya Pradesh
India
Masters

2018

National Institute of Technology Goa
India
Ph.D.

Experience

  • Feb 2018 – Dec-2019 - Senior Assistant Professor - Madanapalle Institute of Technology and Science Madanapalle, A.P., India
  • Jan 2015 - Feb 2018 - Teaching Assistant - National Institute of Technology Goa, Ponda, Goa
  • July 2014 - Jan 2015 - Assistant Professor - Padmshri Dr. V. B. Kolte Collage of Engineering Malkapur, Maharastra, India
  • July 2012 - Jun 2014 - Teaching Assistant - Institute of Engineering and Technology, Devi Ahilya Visvavidyalaya Indore, M. P. India.
  • July 2009 - Jun 2012 – Lecturer - Institute of Engineering Science and Management Indore, M. P., India.

Research Interest

  • Design and Analysis of machine learning approaches for real life problems.
  • Multi-Objective Optimization towards to Features Selection and Features Extraction

Awards

  • 2019- Best paper award for the paper entitled “A Proximity-based Measure for Quantifying the Risk of Vulnerabilities" in 6th International Symposium on Security in Computing and Communications, (SSCC’2019)
  • 2018- Best paper award for the paper entitled “Inter-path Diversity Metrics for Increasing Networks Robustness Against Zero-Day Attacks" in 7th International Symposium on Security in Computing and Communications, (SSCC’2018)
  • 2015- Visiting Research Scholar to Center for Unified Biometrics and Sensors (CUBS), State University of NewYork (SUNY) at Buffalo, USA (March 5, 2015 to July 2, 2015)

Memberships

  • Associate Membership at The Institution of Electronics and Telecommunication Engineers (IETE), New Delhi, India.

List of Publications

Journals Publications
  • Damodar Reddy Edla, Diwakar Tripathi, Venkatanareshbabu Kuppili and Ramesh Dharavath, “Multilevel Automated Security System for Prevention of Accidents at Unmanned Railway Level Crossings”, Wireless Personal Communications, (Springer, SCI Indexed, I.F. 0.952), DOI: 10.1007/s11277-019-06952-4.
  • Venkatanareshbabu K, Diwakar Tripathi and Damodar Reddy Edla. “Credit Score Classification using Spiking Extreme Learning Machine”, Computational Intelligence (Wiley, SCI Indexed, I.F. 1.352), DOI: https://doi.org/10.1111/coin.12242.
  • Alok Shukla and Diwakar Tripathi, “Identification of potential biomarkers on microarray data using distributed gene selection approach”, Mathematical Biosciences, (Elsevier, SCI Indexed, I.F. 1.680), DOI: 10.1016/j.mbs.2019.108230.
  • Annushree Bablani, Damodar Reddy Edla, Diwakar Tripathi, Shubham Dodia, and Sridhar Chintala, “A Synergistic Approach for Concealed Information Test using BAT and BBA Optimization Techniques”, IEEE Transactions on Information Forensics & Security (SCI Indexed, I.F. 6.221), DOI: 10.1109/TIFS.2019.2913798.
  • Diwakar Tripathi, Damodar Reddy Edla, Ramalingaswamy Cheruku and Venkatanareshbabu Kuppilli. “A Novel Hybrid Credit Scoring Model based on Ensemble Feature Selection and Multi-layer Ensemble Classification", Computational Intelligence, (Wiley, SCI Indexed, I.F. 1.352), DOI: 10.1111/coin.12200.
  • Annushree Bablani , Damodar Edla, Diwakar Tripathi and Ramalingaswamy Cheruku, “Survey on Brain Computer Interface: An Emerging Computational Intelligence Paradigm”, ACM Computing Surveys, (ACM, SCI Indexed, I.F. 6.131), DOI: 10.1145/3297713.
  • Annushree Bablani, Damodar Reddy Edla, Diwakar Tripathi and Venkatanareshbabu Kuppili. “An Efficient Concealed Information Test: EEG Feature Extraction and Ensemble Classification for Lie Identification”, Machine Vision and Applications, (Springer, SCI Indexed, I.F. 1.788), DOI: 10.1007/s00138-018-0950-y.
  • Damodar Reddy Edla, Diwakar Tripathi, Ramalingaswamy Cheruku and Venkatanareshbabu Kuppilli. “An Efficient Multi-layer Ensemble Framework with BPSOGSA-based Feature Selection for Credit Scoring Data Analysis”, Arabian Journal for Science and Engineering, (Springer, SCI Indexed, I.F. 1.518). DOI: 10.1007/s13369-017-2905-4.
  • Diwakar Tripathi, Damodar Reddy Edla and Ramalingaswamy Cheruku. “Hybrid Credit Scoring Model using Neighborhood Rough Set and Multilayer Ensemble Classification”, Journal of Intelligent & Fuzzy Systems, (IOS Press, SCI Indexed, I.F. 1.637). DOI: 10.3233/JIFS-169449.
  • Alok Shukla; Diwakar Tripathi; Ramachandra Reddy; Chandramohan, "A Study on Metaheuristics Approaches for Gene Selection in Microarray Data: Algorithms, Applications and Open Challenges", Evolutionary Intelligence, (Springer, Scopus and ESCI Indexed), DOI: 10.1007/s12065-019-00306-6.
  • Chandramohan, A. Manimaran, Ramachandra Reddy, Diwakar Tripathi, "Fog Enabled Secure and Privacy Obfuscation For IoT Services", Journal of Advanced Research in Dynamical & Control Systems, (Scopus Indexed).
  • Diwakar Tripathi, Tushar Lone and Shubhra Dwivedi. “Credit Card fraud Detection using Local Outlier Factor”, International Journal of Pure and Applied Mathematics, (Scopus Indexed).
  • Alok Kumar Shukla, Sanjeev Kumar Pippal, Srishti Gupta, B Ramachandra Reddy and Diwakar Tripathi “Knowledge discovery in medical and biological datasets by integration of Relief-F and Correlation Feature Selection Techniques”, Accepted for publication in Journal of Intelligent & Fuzzy Systems, (IOS Press, SCI Indexed, I.F. 1.637).
Conferences Publications
  • Amruta Lipare, Damodar Reddy Edla, Ramalingaswamy Cheruku and Diwakar Tripathi, “GWO-GA based Load Balanced and Energy Efficient Clustering Approach for WSN”, 3rd International Conference SmartCom 2019 will be held in Bangkok, Thailand, (Accepted and Presented), DOI: 10.1007/978-981-15-0077-0_29.
  • Diwakar Tripathi, Bhawana Nigam and Damodar Reddy Edla. “A Novel Web Fraud Detection Technique using Association Rule Mining”, 7TH International Conference On Advances In Computing And Communications (ICACC 2018), Proceedia Computer Science, (Elsevier, Scopus Indexed). DOI: 10.1016/j.procs.2017.09.135.
  • Diwakar Tripathi, Ramalingaswamy Cheruku and Annushree Bablani. “Relative Performance Evaluation of Ensemble Classification with Feature Reduction in Credit Scoring Datasets”, 1st International Conference on Latest Advances in Machine learning and Data Science, AISC, India, 2017, DOI: 10.1007/978-981-10-8569-7_30.
  • Annushree Bablani and Diwakar Tripathi. “A Review on Methods Applied on P300 based Lie Detectors”, 1st International Conference on Latest Advances in Machine learning and Data Science, AISC, India, 2017. DOI: 10.1007%2F978-981-10-8569-7_26.
  • Ramalingaswamy Cheruku, Diwakar Tripathi, Narasimha Reddy Y and Sathya Prakash Racharla. “Review on RBFNN Design Approaches: A Case Study on Diabetes Data”, 1st International Conference on Latest Advances in Machine learning and Data Science, AISC, India, 2017. DOI: 10.1007/978-981-10-8569-7_11.
  • Diwakar Tripathi, Damodar Reddy Edla and Venkatanareshbabu Kuppilli. “Combination of Weighted Voting and Clustering based Feature Selection for Credit Score Data", International Conference on Computational Intelligence and Data Science (ICCIDS 2018), Proceedia Computer Science, (Elsevier, Scopus Indexed), DOI: 10.1016/j.procs.2018.05.055.
  • Annushree Bablani, Diwakar Tripathi and Damodar Reddy Edla, “Subject based Deceit Identification using Empirical Mode Decomposition", International Conference on Computational Intelligence and Data Science (ICCIDS 2018), Proceedia Computer Science, (Elsevier, Scopus Indexed), DOI: 10.1016/j.procs.2018.05.056.
  • Damodar Reddy Edla, Diwakar Tripathi, Ramalingaswamy Cheruku and Venkatanareshbabu Kuppilli, “Survey on Clustering Techniques” 2nd International Conference on Inventive Communication and Computational Technologies (ICICCT 2018), (IEEE Xplore), DOI: 10.1109/ICICCT.2018.8473039.
Book/Book Chapter Published
  • Diwakar Tripathi, Damodar Reddy Edla and Bhawana Nigam, “Fraud Detection using Data Mining Approaches” Lambert Academic publishing, (Book Published), ISBN NO.– 978-613-9-45698-7.
  • Diwakar Tripathi, Manoj I., Raja Prashanth G., Neeraja K., Mohan Krishna Varma and B. Ramchandra Reddy, “Survey on Classification and Feature Section Approaches for Disease Diagnosis” In upcoming book “Emerging Research in Data Engineering Systems and Computer Communications” (Book Chapter Accepted), ISBN NO.– 978-981-15-0134-0.

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