Courses

  • Formal and Computational aspects of cognition is a new course designed by me for Cognitive Science. Similalry in AI programming lab course I have introduced a programming language called Haskell. The database lab was also restructured. For the course Knowledge Representation and Reasoning a lab component was added wherein the programming language PROLOG is introduced to demonstrate the theoretical aspects.



    • Course Name
    		 Class
    Database Management Systems
    		Mater of Computer Applications
    Database Lab Mater of Computer Applications
    Computer Organisation & Architecture Mater of Computer Applications
    Knowledge Representation & Reasoning Master of Technology (Artificial Intelligence/Computer Science)
    Machine Learning Master of Technology(Artificial Intelligence/Computer Science)
    AI Programming Lab Master of Technology (Artificial Intelligence)
    Problem Solving Methods Master of Technology (Artificial Intelligence)
    Formal & Computational Aspects of Cognition Cognitive Science

    Students

    • PhD

      Submitted

      Dr. Upendra Kumar Singh (August 2015) Thesis Title: Real-time classification of ballistic missiles for defence applications. Current Location: Director, Defence Bio-Engineering and Electro Medical Laboratory (DEBEL), Defence Research and Development Organisation (DRDO), Ministry of Defence, Government of India.

      On-going

      Registration No.
      		 Name Thesis Title Year of Submission
      12MCPC04 Tadiparthi Himabindu Conformal Prediction Ongoing
      14MCPC12 Ayang Laishram Soft computing techniques for recommender systems Ongoing
      14MCPC23 Kagita Venkateswara Rao
      		Machine Learning Ongoing
      15MCPC01 Sowminidevi Location-based Recommender Systems Ongoing
      15MCPC03 Akshay Badola Cross Domain Recommendation Ongoing

      M.Tech

      Registration No.
      		 Name Thesis Title Year of Submission
      14MCMI23 Satya Prakash Sahu Hierarchical Particle Swarm Optimisation based MMMF 2016
      14MCMI29 Atul Kumar Rai Collaborative Filtering in Spectral Clustering 2016
      14MCMI33 Naidu Nikita Nagesh Conformal Prediction Framework
      versus Naive Bayes for Region Prediction      		 2016
      14MCMI32 Marredy mounika Probabilistic Matrix Factorisation in Cross Domain 2016
      14MCMT16 Ranjan Satapathy Concept Level Sentiment Analysis in Bio-NLP Domain 2016
      14MCMI12 Ravi Kumar A Content-aware Recommender System 2016
      14MCMI10 Charu Sharma Support Vector Machines for Multiclass Classification 2016
      14MCMI09 Priyanka Garg Multi-label Classification 2016
      14MCMI01 Salman KH
      		 Combining Swarm with Gradient Search for
      Collaborative Filtering      		 2016
      14MCMI16 Pooja Yadav Social Media Data Management:
      A Retail Example      		 2016
      14MCMI14 Anand Nautiyal Trajectory Data Mining 2016
      14MCMI02 Sirisha Duggirala Geo-spatial Recommender System 2016
      13MCMT47 Nishma Laitonjam Topic Modeling for songs 2015
      13MCMT52 Vivek Kumar Cross domain recommender system using
      tensor decomposition      		 2015
      13MCMI28 Ishan Suryavanshi Optimization Techniques for MMMF based
      Recommender System      		 2015
      13MCMI14 Shekhar Suman Tiwari Recommender Systems for Mobile Applications 2015
      13MCMI13 Pooja Shrivastava Near Duplicate video detection 2015
      13MCMI09 Md. Salimuddin Ansari Predicting the problem of a new question asked
      on stack overflow getting closed      		 2015
      12MCMT01 Christopher Nihar Point of Service Application for Store Operations 2014
      12MCMT19 V. Sowminidevi Recommender Systems: A matrix FactorisationApproach 2014
      12MCMT17 Kanhaiya Kumar Time Series Shapelet: A Comparative Analysis 2014
      12MCMT60 M. Chandrasekhar Model Based Adaptive Test Suite 2014
      12MCMI19 Abhishek Chandra Logical Itemset Mining 2014
      12MCMI33 Harshit Sethy Real Time Strategy Games: A Reinforcement
      Learning Approach      		 2014
      11MCMT40 Venkateswara Rao Group Recommender Systems 2013
      11MCMT08 Pranay Goud Game AI : Simulator Vs Learner in Darmok2 2013
      11MCMT24 Bharat Bhim Tripathi Preference Learning A Survey and
      Application in Recommender Systems      		 2013
      11MCMI07 Krishna Charan Group Recommender Systems - An Implementation
      Based on Power Balance Map      		 2013
      11MCMI22 Abhishek Anand Time Series Shapelet An Unsupervised Approach 2013
      10MCMI02 Nithia V
      		 Game AI: Simulator vs Foil in Darmok2 2012
      10MCMI10 Ch. Raghuveer Haskell based Tableaux 2012
      10MCMI19 Prabhukiran Group Recommender Systems 2012
      10MCMI23 Ganesh Palavalsa Extending BDI architecture using planning graphs 2012
      10MCMI29 Sanjeeva reddy Formal analysis of DNSSEC 2012
      09MCMI07 C. Rakesh Capturing uncertainty in temporal planning 2011

      MCA-Project Supervision (2011-2016) - Six Months Project

      Registration No.
      		 Name Thesis
      		Year of Submission
      13MCMC04 Koustav Maitra
      Surya Pratap Singh      		 Web Application for hostel Automation 2016
      13MCMC01 Shashank Tiwari Recognition of Objects in Images 2016
      11MCMC16
      11MCMC35      		 Rajeev Ranjan
      Vinay Kumar      		 Frequent item-set mining: An Experimental Analysis 2014
      11MCMC55
      11MCMC50      		 Abhinav Rastogi
      Ashwani Kumar Tiwari      		 Recommender Systems for Mobile Applications 2014
      10MCMC48
      10MCMC03      		 Aman Singh Rajput
      Rajas Shastri      		 Online application form for
      entrance examination system      		 2013
      08MCMC11
      08MCMC18      		 Ritesh Kumar Gupta
      Anubhav Kumar      		 Ontology Technologies for Semantic Web 2011