Bidyut Kumar Patra

Assistant Professor Grade-I

Computer Science and Engineering

 (+91) 661 246 2367 , 3367

 patrabk[at]nitrkl.ac.in

 Biosketch

17

Publications       

3

Sponsored Projects

0

Consultancy Projects

8

Doctoral Students

3

Short-term Course

14

PG Dissertation

 Personal Information

Prof. Bidyut Kumar Patra

Assistant Professor Grade-I

Computer Science and Engineering

Joined in Oct 2011

 Room Number: CS-222

 Department of Computer Science and Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

 Education Qualification

  1. Ph.D.
    CSE (Data Mining)
    IIT Guwahati
  2. M.Tech
    CSE
    University of Calcutta
  3. B.Tech
    CSE
    University of Calcutta

 Experience

Teaching Experience
  • CSE,  NIT Rourkela,  10 Oct 2011 - 08 Mar 2018
  • CSE,  Tezpur Central University,  01 Mar 2010 - 30 Sep 2011
  • CSE,  Haldia Institute of Technology,  01 Oct 2001 - 25 Jul 2005
Post Doctoral Research Experience
  • Recommender System,  VTT Technical Research Centre of Finland, Finland,  01 May 2013 - 31 Oct 2014
Laboratory Development
  • Laboratory for Educational Technology,  NIT Rourkela,  Room No. 308

 Expertise Information

Research Group
Intelligent Computing and Computer Vision Group
Areas of Interest
Data Mining, Machine Learning, Recommender System.

 Projects

Development of City Traffic Dashboard using Soccial Media Data and Historical GPS Trajectory.

 SERB

 Principal Investigator

 36 months

 Running

Sponsored

Development of a Psycho-cognitive recommender system for weak learner in flipped learning scenario

 SERB

 Principal Investigator

 36 months

 Running

Sponsored

Development of a pathological health care system for early detection of neurological gait abnormalities

 DST

 Co-Investigator

 24 months

 Running

Sponsored

 Continuing Education

Introduction to Programming: A Pedagogical Approach

 Computer Science and Engineering

 Coordinator

 17 Jun 2019 - 22 Jun 2019

Workshop

Deep Learning and Applications

 Computer Science and Engineering

 Coordinator

 27 May 2019 - 31 May 2019

Workshop

Natural Language Processing

 Computer Science and Engineering

 Coordinator

 02 Dec 2019 - 11 Dec 2019

Short-term Course

Global Initiative of Academic Networks Course On Recommender System

 Computer Science and Engineering

 Coordinator

 05 Dec 2016 - 16 Dec 2016

Short-term Course

Short-term Course on Selected Topics in Data Science

 Computer Science and Engineering

 Coordinator

 14 Dec 2015 - 18 Dec 2015

Short-term Course

 Publications

Google Scholar h-index

Google Scholar i10-index

0

Scopus h-index

Total Publications: 17
P. Mazumdar, B. K. Patra, and K. S. Babu, "Cold-start Point-of-Interest Recommendation Through Crowdsourcing", ACM Transaction on Web, ACM, June 2020 Article
S. Uttarkabat, S. N. Dhanunjay, and B. K. Patra, "RSOD: Efficient Technique for Outlier Detection using Reverse Nearest Neighbors Statistics", in 2020 4th International Conference on Computational Intelligence and Networks (CINE), pp.1-6, IEEE, February 2020, 10.1109/CINE48825.2020.234401 Inproceedings
R. S. Sreepada and B. K. Patra, "Mitigating Long Tail Effect in Recommendations using Few Shot Learning Technique", Expert Systems With Applications (ESWA), vol.140, pp.1-17, Elsiver 2020, 10.1016/j.eswa.2019.112887 Article
P. Agarwal, R. S. Sreepada, and B. K. Patra, "A hybrid framework for improving diversity and long tail items in recommendations", in Pattern Recognition and Machine Intelligence, vol.11942, pp.1-8, Springer, lncs, December 2019, 10.1007/978-3-030-34872-4_32 Inproceedings
R. S. Sreepada and B. K. Patra, "An incremental approach for collaborative filtering in streaming scenarios", in Advances in Information Retrieval, ECIR 2018, pp.632-637, Springer, lecture notes in computer science book , 10772, March 2018, 10.1007/978-3-319-76941-7_55 Inproceedings

Show All Publications(+)

P. Mazumdar, B. K. Patra, and K. S. Babu, "Handling cold-start scenarios in point-of-interest recommendations through crowdsourcing", in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data (CoDS-COMAD) 2018, pp.322-324, Association for Computing Machinery (ACM), Goa, India, January 2018, 10.1145/3152494.3167980 Inproceedings
S. Poddar and B. K. Patra, "Reduction in execution cost of k-Nearest neighbor based outlier detection method", in Mathematics and Computing: ICMC 2018, vol.1, pp.53-60, Springer, communications in computer and information science, 834, January 2018, 10.1007/978-981-13-0023-3_6 Inproceedings
R. S. Sreepada, B. K. Patra, A. Chakrabarty, and S. Chandak, "Revisiting tendency based collaborative filtering for personalized recommendations", in Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, pp.230-239, Association for Computing Machinery (ACM), cods-comad, Goa, India, January 2018, 10.1145/3152494.3152523 Inproceedings
P. Mazumdar, B. K. Patra, K. S. Babu, and R. Lock, "Hidden location prediction using check-in patterns in location-based social networks", Knowledge and Information Systems : An International Journal, pp.1-31, Springer 2018, 10.1007/s10115-018-1170-5 Article
P. Mazumdar, B. K. Patra, and K. S. Babu, "An effective POI recommendation in various cold-start scenarios", in The 22nd International Conference on Management of Data (COMAD), pp.1-11, CSI, March 2017, http://hdl.handle.net/2080/2705 Inproceedings
R. S. Sreepada, B. K. Patra, and A. Hernando, "Multi-criteria recommendations through preference learning", in Proceedings of the Fourth ACM IKDD Conferences on Data Sciences, vol.1, no.1, pp.1-11, Association for Computing Machinery (ACM), cods '17, Chennai, India, March 2017, 10.1145/3041823.3041824 Inproceedings
P. Mazumdar, B. K. Patra, R. Lock, and K. S. Babu, "An approach to compute user similarity for GPS applications", Knowledge-Based Systems, vol.113, pp.125-142, Elsevier, December 2016, 10.1016/j.knosys.2016.09.017 Article
B. K. Patra, R. Launonen, V. Ollikainen, and S. Nandi, "A new similarity measure using Bhattacharyya coefficient for collaborative filtering in sparse data", Knowledge-Based Systems, vol.82, pp.163-177, Elsevier, July 2015, 10.1016/j.knosys.2015.03.001 Article
A. Pathak and B. K. Patra, "A knowledge reuse framework for improving novelty and diversity in recommendations", in Proceedings of the Second ACM IKDD Conference on Data Sciences, pp.11-19, ACM, acm international conference proceeding , Chancery Pavilion, 135 Residency Road, Bangalore, March 2015, 10.1145/2732587.2732590 Inproceedings
B. K. Patra and S. Nandi, "Effective data summarization for hierarchical clustering in large datasets", Knowledge and Information Systems, vol.42, no.1, pp.1-20, Springer, January 2015, 10.1007/s10115-013-0709-8 Article
B. K. Patra, R. Launonen, V. Ollikainen, and S. Nandi, "Exploiting Bhattacharyya similarity measure to diminish user cold-start problem in sparse data", in Discovery Science, vol.8777, pp.252-263, Springer, lncs, University of Ljubljana, Ljubljana, October 2014, 10.1007/978-3-319-11812-3_22 Inproceedings
B. K. Patra, V. Ollikainene, R. Launonen, S. Nandi, and K. S. Babu, "Distance based incremental clustering for mining clusters of arbitrary shapes", Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol.8251, pp.229-236, Springer 2013, 10.1007/978-3-642-45062-4_31 Article

 Courses Taught

  • CS102 : Data Structures and Algorithm {Theory}
  • CS102 : Data Structures and Algorithms {Theory}
  • CS2002 : Computer Organization and Architecture {Theory}
  • CS242 : Computer Organization and Architecture {Theory}
  • CS334 : Operating Systems Design {Theory}
  • CS425 : Data Warehousing and Mining {Theory}
  • CS625 : Data Warehousing and Mining {Theory}
  • CS6312 : Data Warehousing and Mining {Theory}
  • CS6430 : Recommender Systems {Theory}
  • CS714 : Recommender Systems {Theory}
  • CS1000 : Basic Programming {Practical}
  • CS171 : Computing Laboratory - I {Practical}
  • CS172 : Computing Laboratory - II {Practical}
  • CS172 : Computing Laboratory – II {Practical}
  • CS2073 : Digital System Design Laboratory {Practical}
  • CS2074 : Computer Organization Laboratory {Practical}
  • CS274 : Digital System Design Laboratory {Practical}
  • CS274 : VHDL Programming Laboratory {Practical}
  • CS3071 : Operating Systems Laboratory {Practical}
  • CS374 : Operating Systems Laboratory {Practical}
  • CS670 : Computer Programming Laboratory – II {Practical}
  • CS771 : Programming Laboratory using Python and R {Practical}
  • CS772 : Recommender Systems Laboratory {Practical}

 Research Scholars

Doctoral Students
Data Mining And Machine Learning

 Sumanto Dutta

 OnGoing

 Supervisor

Data Mining, Recommender System

 Rabi Shaw

 OnGoing

 Supervisor

Machine Learning

 Nikita Baidya

 OnGoing

 Supervisor

Machine Learning

 N. Sangita Achary

 OnGoing

 Supervisor

Data Mining

 V Ramanjaneyulu Yannam

 OnGoing

 Co-Supervisor

Data Mining, Deep Learning

 Abhaya

 OnGoing

 Supervisor

Enhancing Accuracy And Long Tail Item Recommendations In Collaborative Filtering Framework

 Rama Syamala Sreepada

 Thesis Submitted

 Supervisor

Human Mobility Analysis In Location-Based Social Networks

 Pramit Mazumdar

 Graduated

 Supervisor

M.Tech by Research Students
Outlier Detection Using Unsupervised Learning Techniques

 Satarupa Uttarkabat

 Thesis Submitted

 Supervisor

 Dissertations

PG Dissertation
  • Sutirtha Bhaumik (214CS1121), "MIPI CSI Camera Sensor Driver Development for Intel Platform" - M.Tech.    Supervisor     2015-16 Spring
  • Jitendra Kumar (215CS1306), "Sentiment Analysis Using Supervised Machine Learning Technique" - M.Tech.    Supervisor     2016-17 Spring
  • Khushboo Sharma (215CS2083), "Outlier Detection for Categorical Data" - M.Tech.    Supervisor     2016-17 Spring
  • Pooja Singh Thakur (215CS2466), "Outlier Detection on Streaming Data using Local Outlier and Clustering Techniques" - M.Tech.    Supervisor     2016-17 Spring
  • Priyanka Sahana (215CS2082), "Urban Traffic Anomaly Detection" - M.Tech.    Supervisor     2016-17 Spring
  • Avijit Chakrabarty (216CS4185), "Improvement of Accuracy and Time Requirements in Traditional Collaborative Filtering Techniques" - M.Tech.    Supervisor     2017-18 Spring
  • Sabyasachi Parida (216CS4188), "Anomaly Detection in ECG Signals using Deep Long Short Term Memory Networks" - M.Tech.    Supervisor     2017-18 Spring
  • Vishnu Priyanka Gujjula (216CS2156), "Privacy Preserving Zone Based Service Provisioning in Intelligent Transportation Systems using CL-PKC" - M.Tech.    Supervisor     2017-18 Spring
  • Zapovil Kintso (216CS4186), "Improving Accuracy of Recommender System Using Stack Autoencoder" - M.Tech.    Supervisor     2017-18 Spring
  • Mayank Bharti (217CS2102), "Improving Time Consumption by LOF approach for Anomaly Detection" - M.Tech.    Supervisor     2018-19 Spring
  • Mohini Gupta (217CS2432), "Improving the Execution Time of Outlier Detection Approach using Clustering and Pruning Techniques" - M.Tech.    Supervisor     2018-19 Spring
  • Pragati Agarwal (217CS1089), "Improving Aggregate Diversity and Long Tail Items in Recommendations" - M.Tech.    Supervisor     2018-19 Spring
  • Rohan Paliwal (218CS1099), "Finding Similar Learners using DTW and PCC in Flipped Learning Scenarios" - M.Tech.    Supervisor     2019-20 Spring
  • Subrata Das (218CS1082), "Slope One Predictor with Threshold Filtering" - M.Tech.    Supervisor     2019-20 Spring
UG Dissertation
  • Nitesh Agrawal (111CS0117), "A Novel Approach for Neighbourhood-based Collaborative Filtering" - B.Tech.    Co-supervisor     2014-15 Spring
  • Manika Tiriya (112CS0186), "Study on User-based Recommendation System" - B.Tech.    Supervisor     2015-16 Spring
  • Naman Kumar Agarwal (112CS0133), "Using Ensemble Methods to Improve Predictive Performance of Anomaly Detection Techniques" - B.Tech.    Supervisor     2015-16 Spring
  • Pannala Chetan Reddy (112CS0288), "A survey on different Similarity Measures for Collaborative Filtering" - B.Tech.    Supervisor     2015-16 Spring
  • Pritish Kumar Roy (112CS0529), "Study of an Item Based Collaborative Filtering" - B.Tech.    Supervisor     2015-16 Spring
  • Tanmay Parasher (112CS0173), "Study of Popular Outlier Detection Techniques" - B.Tech.    Supervisor     2015-16 Spring
  • Vankayala Narendra Kumar (112CS0504), "Study on Top N Recommendations using user to user collaborative ltering" - B.Tech.    Supervisor     2015-16 Spring
  • Dilip Raj Bishwokarma (113CS0512), "Review-based Geo Topic Modeling for POI Recommendations" - B.Tech.    Supervisor     2016-17 Spring
  • Manupudi Eswar (113CS0136), "Recommendation Systems - A Study on Collaborative Filtering" - B.Tech.    Supervisor     2016-17 Spring
  • Satyadev Chandak (113CS0127), "Accuracy Improvement in Recommender Systems" - B.Tech.    Supervisor     2016-17 Spring
  • Shakti Prasad Sahoo (113CS0177), "Location based Recommender System" - B.Tech.    Supervisor     2017 Summer
  • Alolika Gon (114CS0547), "Improving the Execution Time of Outlier Detection Techniques" - B.Tech.    Supervisor     2017-18 Spring
  • Dibya Ranjan Mishra (114CS0108), "Revisiting Slope One Method for Improving Performance of Recommendation" - B.Tech.    Supervisor     2017-18 Spring
  • Koshal Kumar Garg (114CS0100), "Anomaly Detection in Streaming Data" - B.Tech.    Supervisor     2017-18 Spring
  • Sonali Agrawal (114CS0634), "Online Recommender System" - B.Tech.    Supervisor     2017-18 Spring
  • Surya Prakash Sahu (114CS0121), "Attack Profile Detection in Recommender System using Trust Propagation" - B.Tech.    Supervisor     2017-18 Spring
  • Ganta Srujana (115CS0255), "Classification of learners in Flipped Learning Scenario using Hidden Markov Model" - B.Tech.    Supervisor     2018-19 Spring
  • Kanaparthi Sneha (115CS0244), "Recommending video lectures based on the student's understanding levels" - B.Tech.    Supervisor     2018-19 Spring
  • Yaganti Tanuja (115CS0283), "Improving the Accuracy of Single and Multi-criteria Rating Recommender Systems" - B.Tech.    Supervisor     2018-19 Spring
  • Animesh Das (116CS0176), "Map-aware clustering and Location Sequencing in Recurrent Networks for Vehicle Trajectory Analysis" - B.Tech.    Supervisor     2019-20 Spring
  • Manukumar Rudresh (116CS0157), "Retention of Massive Open Online Courses (MOOCs) Learner using Machine Learning Techniques" - B.Tech.    Supervisor     2019-20 Spring
  • Sunkara Naga Dhanunjay (116CS0181), "An Unsupervised Technique for Anomaly Detection" - B.Tech.    Supervisor     2019-20 Spring
  • Uttam Singh (116CS0238), "Optimal Channel Selection for Effective Emotional Intensity Classification using Psychological Signals" - B.Tech.    Supervisor     2019-20 Spring
  • Ipsit Pradhan (711CS2166), "Anomaly Detection on Time Series Data" - B.Tech. M.Tech Dual Degree    Supervisor     2015-16 Spring
  • Priyansu Singh (711CS1115), "A new graph-based approach to recommender systems" - B.Tech. M.Tech Dual Degree    Supervisor     2015-16 Spring
  • Sanjoli Poddar (711CS2136), "Outlier Detection in Continuous and Categorical Data" - B.Tech. M.Tech Dual Degree    Supervisor     2015-16 Spring
  • Sumeet Garnaik (712CS2045), "Trust Computation in Wikipedia" - B.Tech. M.Tech Dual Degree    Supervisor     2016-17 Spring
  • Sushovan Das (712CS2034), "Detecting anomalies in urban road traffic by using GPS data" - B.Tech. M.Tech Dual Degree    Supervisor     2016-17 Spring
  • Aryaman Gupta (713CS1038), "Human Action Recognition with LSTM on Skeletal Quadruples" - B.Tech. M.Tech Dual Degree    Supervisor     2017-18 Spring
  • Dibyam Kumar Agrawal (714CS1035), "Improving Performance of Single and Multi-Criteria Recommendation Technique" - B.Tech. M.Tech Dual Degree    Supervisor     2018-19 Spring
  • Aditya Kumar Sinha (714CS1003), "Predicting Student Attrition in MOOCs" - B.Tech. M.Tech Dual Degree    Supervisor     2019-20 Spring
  • Hari Rushitha (715CS1058), "Session-based Recommender Systems" - B.Tech. M.Tech Dual Degree    Supervisor     2019-20 Spring

 Awards and Honours

Awards and Honours
  • Flipkart Travel Award (For tutorial Talk in ECIR 2019, Germany),    2019
  • Microsoft Azure Research Award,    2015
  • Marie-Curie Fellow,    2013
Memberships / Fellowships
  • MACM,    2014
  • CSI,    2014