CIS601

Graduate Seminar in Computer Science

Course Content

  • Class Announcement and Post
  • Class Syllabus
  • Lab Assignments
  • Class Lecture Notes


  • Class Announcement and POST

    8.
    See the Presentation Paper Lists in the Lecture Notes Section. You can choose any topic of your interest from another resources.
    Extra Credits to Those Who will Present at the First Week Presenations on Jan 29 !

    7.
    Class Attendances Will Be Counted. Make Sure to Sign the Attendance Sheet at the Beginning of Each Class !

    6.
    Proposal Specification will be Posted Here !
    Proposal Specification

    5.
    Final Presentation Schedule: the Invitation Email (to Your CSU CampusNet Email) Will be Sent for The Schedule on Google Drive.
    Presentation Schedule

    4.
    Research your topic and papers for presentation and proposal in the selective research topic list below !

  • Class Syllabus

  • Paper List and Resources

  • Presentation Paper List Updated on Jan 2018

  • More Presentation Paper List from Big Data Analytics

  • Proposal


  • Lecture Notes


  • Research Paper 101: How to Read a Reserach Paper

  • Example of Research Paper in IEEE Format

    • For Presentations:

    Selective Presentation Topics and Paper List:

    You may choose your Topics and the papers from Other resources as well.

  • Presentation Paper List Updated on Jan 2018

  • More Presentation Paper List from Big Data Analytics

  • List of Top Journals and Conferences in Data Mining and Information Processing



    • For Survey Papers and Final Proposal:

  • Proposal Specification


    • Proposal Templates to Use for Your Proposal:

    Standard ACM and IEEE Sites to Download Paper Format Templates:
  • ACM Template Format in Doc and Latex, Author Instruction

  • ACM Template Format in Docx

  • Author Instruction - ACM Interim Format

  • ACM Interim Template in docx

  • IEEE Template Format in Doc and Latex




    • CSU Specific Proposal Format Templates:

  • Recommended Proposal Format for IDS Research Project

  • Sample IDS/Thesis Proposal for Research

  • (Registeration Form for CIS698 IDS Research Project)


  • Example of Proposal Format for Thesis/Research

  • Recommended Proposal Format for Thesis/Research


  • Recommended Proposal Format for Senior Design/Industry Sponsored Project



    • For the registration procedure of CIS698 Independent Study:

    (Note that CIS698 registration process takes at least 2-3 weeks to be able to register before the semester begins or by the end of the first week)

    1. You have to fill the registration form below:
  • (Registeration Form for CIS698 IDS Research Project)

    • 2. Then Send it to me with your proposal draft to get my approval signature.
    3. Send the form with the approved proposal (in PDF) to the Program director Dr.Wang for his approval signature
    4. If all the signatures are obtained in the form, send it to Pat, she will allow you to register CIS698.



    The Best Example of Your Proposal Format is Any Published Paper ! The Examples That Are Acceptible are listed below:

    Some Acceptable Proposal Examples and Contents:

  • Example of a Proposal of CIS601 in IEEE Format

  • Example of a Research Project Proposal of Independent Study in One Column Based Format

  • Example of a Proposal in IEEE Format

  • Example in Thesis Proposal

  • Example of Research Project Proposal in Thesis Proposal Format


    • Free Formats (Not Recommended) But as Examples of the Contents for a Proposal:
  • Example Proposal in Free Format

  • Example Proposal in Free Format


    • Important Dates (Tentative):

    A Final Proposal Due by April 30 !
    You can choose the subject of your proposal. It doesn't need to be the same as the subjects of your presentations !
    Minimum 6 - 8 page for Person. Minimum 10 pages per Two Person Group !
    Your Final Proposal Should Include a Related Work (Papers) Survey Summary section (Minimum 3 pages).



  • Presentation Schedule: See Presentation Schedule on Google Drive. (from the Link sent to Your CSU Email)


    • Presentation will be evaluated based on the Following Three:

    1. Summary of Paper -- Probelm Description, Solution/Approach with Examples
    2. Complexity of Paper and Comprehensive Understanding in Presentation
    3. Presentation -- Presentation Skill and Good Time Distribution on Main Topics


    Instruction for Presenations:

    Each person presents a 20 min Presentation on the papers in a research topic of his/her choice. Each person presents twice PER SEMESTER.
    Sign up for your presentation time slot on the Google Schedule Sheet (the Link is Sent to your CampusNet Email) with your name, your paper title and the links to papers if available.
    Your presentation will be posted on the class webpage.

    Submission Instruction After Each Presenation:

    1. Submit a Zip file that includes both your slides (both in .ppt and .pdf) and your papers (in pdf) on Blackboard by the end of Friday of your presentation week.
    2. Submit a Printout of your slides in Class for the Feedback and Grading.


    Examples of Paper Presentations

    Week of Nov 5, 2018:
  • Presentation: IBM Watson Debator by Binu Mathew

  • YouTube Video for Project Debater

  • Presentation: Parallel Data Warehouse Query Optimizer by Stacey Heideloff

  • Paper:

    • Week of Sept 25, 2018:
  • Presentation: Security Condsideration IoT Abhinay Rachakonda

  • Paper:Security Condsideration IoT

  • Amazon Recommendations by Deeven paul

  • Paper: Amazon Recommendation systems



    • Week of Sept 18, 2018:
  • Presentation: Google Map Reduce by Stacey Heideloff

  • Paper: Google Map Reduce

  • ML Server Threat Analysis by Bhavana Reddy Mandadi

  • Paper: Machine Learning Models That Remember Too Much

  • Deep Learning For Network Intrusion Detection By Romi Bajracharya

  • Paper: Deep Learning For Network Intrusion Detection IEEE 2018


    • Week of Sept 11 , 2018:
  • Presentation: MCL Robot Location Estimation by Labhesh Popli

  • Paper: MCL Robot Location Estimation




    • Presentations of Spring 2018 !

    Week of Jan 29, 2018:
  • AlphaGo - Artificial Intelligence by Seungyoon Jang

  • Paper: AlphaGo with Deep Neural Network

  • Information Retrieval System: Semantic Content Based Big Data Processing Approaches by Google By Sankalp Godugu

  • Paper: Google's Big Table


    • Week of Feb 5, 2018:
  • FaceBook BigData Infrastructure by Yi Dong

  • Paper: FaceBook Big Data Infrastructure (Sigmod)

  • IBM Watson: Identifying Implicit Relationships Within Natural-Language Questions By Brandon Marlowe

  • Paper: IBM Watson - PRISMATIC Knowledge Base


    • Week of Feb 12, 2018:
  • GPU Accelerated SQL database operations using CUDA by Harinath Amasa

  • Paper: Accelerating SQL database operations using CUDA

  • Presentation: Clock of visibility Detection Using ML by Amol

  • Paper: Clock of visibility Detection Using ML (IEEE2016)


    • Week of Feb 20, 2018:
  • Presentation: Attention Based CNN for Visual Question Answering by Mayur Jagdish kumar Rumalwala

  • Paper: Attention Based CNN for Visual Question Answering

  • Deep Face Recognition by Nathan Sun

  • Paper: Deep Face Recognition (KDD2015)


    • Week of Feb 27, 2018:
  • Presentation: SAP HANA Database by

  • Paper: Efficient Transaction Processing in SAP HANA Database Ravi Raj Kadam

  • Network Security Attacks an Solutions by Anusha Gadde

  • Paper: Network Security Attacks an Solutions


    • Week of March 6, 2018:
  • Presentation: Multi Robot Task Allocation by Ghazal Zand

  • Paper: Multi Robot Allocation Tasks

  • Presentation:Privacy-Preserving Using Data mining Technique in Cloud Computing by Rajan Sharma

  • Paper: CIS601 Privacy Data Mining on Cloud


    • Week of March 20, 2018:
  • Presentation: MapReduce: Simplified Data Processing on Large Clusters by Sankalp Godugu

  • Paper: MapReduce: Simplified Data Processing on Large Clusters by Google


    • Week of March 27, 2018:
  • Presentation: Stacked Attention Networks for Image Question Answering by Mayur Rumalwala

  • Paper: Stacked Attention Networks for Image Question Answering

  • Presentation: Amazon.com Recommendation System by Amol Chaudhari

  • Paper: Amazon.com Recommendation System


    • Week of April 3, 2018:
  • Presentation: Efficient Transaction Processing SAP HANA Database by Raviraj Kadam

  • Paper: Efficient Transaction Processing SAP HANA Database

  • Presentation: Progressive web apps the Definite Approach to Cross-Platform Development by Harinath Amasa

  • Paper: Progressive web apps the Definite Approach to Cross-Platform Development


    • Week of April 10, 2018:
  • Presentation: A Recurrent Neural Network for Image Generation by Brandon Marlowe

  • Paper: DRAW - Recurrent Neural Network For Image Generation

  • Presentation: Network Intrusion Detection Using Machine Learning by Rajan Sharma

  • Paper: Network Intrusion Detection Using Machine Learning


    • Week of April 17, 2018:
  • Presentation: Crypto DB: Quering Over Encrypted Data by Xiyi Luo

  • Paper: Crypto DB: Quering Over Encrypted Data

  • Presentation : The Case for Learned Index Structures (Use Neural Network to Re-Design Database Indexing) by Yi Dong

  • Paper: Learning Memory Access Pattern


    • Week of April 24, 2018:
  • Presentation : Disguised Face Identification with Facial Key points by Nathan Sun (Slide in pptx)

  • Paper: Disguised Face Identification with Facial Key points

  • Presentation : Inverse Reinforcement Learning: Review by Ghazal Zand

  • Paper: Survey of Inverse Reinforcement Learning


    • Week of May 1, 2018:
  • Presentation:

  • Paper:

  • Presentation :

  • Paper:




    • Presentations of Fall 2017 !

    Week of Sept 18, 2017 :
  • Amazon Recommendation System by Daniel Izadnegahda

  • Paper:Amazon Recommendation System

    • Week of Oct 2:
  • When CSI meets public WiFi- Inferring PW from Wifi Signal by Keshav Yerra

  • Cyber Paper: When CSI meets public WiFi- Inferring PW from Wifi Signal (ACM CCS 2016)

  • CIS 601 Presentation: Google Map Reduce by Stephen Cardina

  • Paper: Google Map Reduce (OSDI 2004)

    • Week of Oct 9:
  • SQL Azure as a Self-Managing Database Service by Chris Rowland

  • Paper: SQL Azure as a Self-Managing Database Service (IEEE 2011)

  • Cyber Security: Identifying the Scan and Attack Infrastructure in Amplication DDos Attacks by Monish Prasad

  • Paper: Identifying the Scan and Attack Infrastructure in Amplication DDos Attacks (ACM SIGMOD 2016)

    • Week of Oct 16:
  • Cloak of Visibility by Zhe Zhao

  • Paper: Cloak of Visibility (2016 IEEE Symposium on Security and privacy by Google)

  • DEEPQA Project in IBM Watson by Benjamin Galun

  • Paper: Building Watson: DEEPQA Project in IBM

    • Week of Oct 23:
  • Fraud Detection Using Machine Learning Algorithm by Saiyam Kohli

  • Paper: Fraud Detection Using Neo4J

  • WearDrive: Fast and Energy Efficient Storage for Wearables By Reza Shisheie

  • Paper:WearDrive: Fast and Energy Efficient Storage for Wearables


    • Second Round Presentation :

    Week of Oct 30:
  • Prsentation: Sound of IPhone by Keshav Yerra

  • Paper:The Sounds of Phone

  • Presentation by Monish Prasad

  • Paper: Network Security Detection with Data Analytics

    • Week of Nov 6:
  • Peta Byte Image File Storage System by Daniel Izadnegahdar

  • Paper: Peta Byte Image File Storage System

  • Presentation: Unsupervised Anamaly Detection by JinJie Liu

  • paper:Unsupervised Anamaly Detection

    • Week of Nov 13:
  • Presentation: Azure Document Index by Chris Rowland

  • paper: Schema Agonistic Index for Document DB in Azure

  • Presentation: Real Time Fraud Detection with NN and Anealing by Saiyam Kohli

  • Paper: Real Time Fraud Detection with NN and Anealing

    • Week of Nov 20 :
  • Neural Models for Sequence Chunking in IBM Watson Project by Sagar Dahiwala

  • Neural Models for Sequence Chunking in IBM Watson Project

    • Week of Nov 27 :
  • In Memory Performance for Big Data by Kush Patel

  • Anti-Caching based Elastic Memory Management for Big Data by Helly Patel

  • Data Processing on Large Clusters by Stephen Cardina

  • Paper: Data Processing on Large Clusters by Stephen Cardina

    • Week of Dec 4:
  • Deep Face Recognition by Benjamin Galun

  • Paper: Deep Face Recognition

  • by Reza Shisheie

  • Paper: