CURRICULUM VITAE

Ms. SANCHARI CHATTERJEE

Email:Schatt10@uncc.edu

Phone: +1-704-905-2809

LinkedIn Link - https://www.linkedin.com/in/sanchari-chatterjee-5083b5139
Current Status – PhD Graduate Student and Adjunct Instructor

OBJECTIVE -

To continue my deep passion in research and studying Computer Science Engineering to explore a magnificent career in teaching and research as Computer Scientist or Computer Faculty in Healthcare Informatics, Computer Science or Information Science domain. Currently I am a fourth year Ph.D. student in the department of Computing and Informatics at UNC-Charlotte.

WEBSITE –
•    https://webpages.charlotte.edu/schatt10/
•    https://webpages.charlotte.edu/ras/students-2022.html
•    https://webpages.charlotte.edu/aatzache/mentoring.html

ACADEMIC PROFILE -

Degree Stream or Discipline Discipline Board/University Years Percentage or GPA
Ph.D.
Computer science University of North Carolina at Charlotte, USA 2021 - Present
3.88 out of 4.00 (GPA)
Masters of Science (MS) - Graduate education Computer science University of North Carolina at Charlotte, USA 2018 - 2020 3.8 out of 4.00 (GPA)
Bachelor of Technology (B.Tech) - Undegraduate Education Electronics Communication Engineering West Bengal University of Technology, INDIA 2012 - 2016 8.55 out of 10.00 (CGPA)

GRADUATE COURSES -

CLASS PROJECTS (Individual and Group) -

RESPONSIBILITITES AS  INSTRUCTOR/TEACHING ASSISTANT/ RESEARCH ASSISTANT/ GRADUATE ASSISTANT –

As volunteer unpaid Teaching Assistant/ Research Assistant/ Graduate Assistant at UNC- Charlotte, my responsibilities were the following –
•    Teaching Database Management System at Johnson C Smith University.
•    Assisting faculty with classroom instruction, records, and assignments
•    Leading discussion sections
•    Meeting with students during office hours
•    Mentoring/ Guiding undergraduate students individually or in small groups
•    Delivering lectures or delivering tutorials as guest lecture
•    Leading group projects or discussions
•    Grading assignments or papers
•    Managing course and course communications in Canvas
•    Preparing laboratory materials
•    Recording lecture videos and calculating grades
•    Providing feedback on assignments
•    Enforcing laboratory rules and procedures
•    Proctoring examinations
•    Taking attendance and monitoring participation
•    Obtaining and distributing course materials
•    Facilitate a discussion section or tutorial
•    Keep records and distribute and copy reading materials
•    Act as the course web-master.

RESPONSIBILITITES AS  INSTRUCTOR/ TEACHING ASSISTANT/ RESEARCH ASSISTANT/ GRADUATE ASSISTANT  –

As volunteer unpaid Teaching Assistant/ Research Assistant/ Graduate Assistant at UNC- Charlotte, my responsibilities were the following –
•    Teaching Computers in Society at Johnson C Smith University.
•    Teaching Internet Programming at Johnson C Smith University.
•    Teaching Database Management System at Johnson C Smith University.
•    Assisting faculty with classroom instruction, records, and assignments
•    Leading discussion sections
•    Meeting with students during office hours
•    Mentoring/ Guiding undergraduate students individually or in small groups
•    Delivering lectures or delivering tutorials as guest lecture
•    Leading group projects or discussions
•    Grading assignments or papers
•    Managing course and course communications in Canvas
•    Preparing laboratory materials
•    Recording lecture videos and calculating grades
•    Providing feedback on assignments
•    Enforcing laboratory rules and procedures
•    Proctoring examinations
•    Taking attendance and monitoring participation
•    Obtaining and distributing course materials
•    Facilitate a discussion section or tutorial
•    Keep records and distribute and copy reading materials
•    Act as the course web-master.

COURSES AS TEACHING ASSISTANT EXPERIENCE –  

•   
Software Design and Implementation ITCS 6112 – worked as a volunteer teaching assistant at UNC-Charlotte
•    Knowledge Discovery in Database ITCS 6162– worked as a volunteer teaching assistant at UNC-Charlotte
•    Cloud Computing for Data Analysis ITCS 6190– worked as a volunteer teaching assistant at UNC-Charlotte
•    Cyber Security Introduction– worked as a volunteer teaching assistant at WVU
•    Practicing Cyber Security Attacks and Counter Measures– worked as a volunteer teaching assistant at WVU
•    Machine Learning – worked as a volunteer teaching assistant at UNC- Charlotte
•    Introduction to Computer Systems and Assembly Programming– worked as a volunteer teaching assistant at WVU
•    Introduction to Computer Networks– worked as a volunteer teaching assistant at CPCC


CONFERENCE/ SYMPOSIUM/ PROFESSIONAL MEETINGS ATTENDED – 

Type Date Name of Project Organizer Venue
International Conference on AI, Machine Learning and Data Science (AIMDS 2024)   
December, 2024
International Conference on AI, Machine Learning and Data Science (AIMDS 2024)   
International Conference on AI, Machine Learning and Data Science (AIMDS 2024) Virtual
3rd International Conference on NLP, Data Mining and Machine Learning (NLDML 2024) January,2024 3rd International Conference on NLP, Data Mining and Machine Learning (NLDML 2024) 3rd International Conference on NLP, Data Mining and Machine Learning (NLDML 2024) Virtual
Tapia conference September,2022 Tapia conference Tapia
Washington, DC
Tapia Conference October,2021 Tapia Conference Tapia
Virtual
Tapia Conference September,2019 Tapia Conference Tapia
San Diego,CA
Fleurix conference March,2019 Fleurix conference Fleurix Statesville ,Charlotte,NC
Competition August,2015 IBM Bluemix Nasscom Webel House Sector v, India Webel House Sector v, India
Conference November,2015 VLSI(Very Large Scale Integration) IEEE Kolkata,India
Seminar April,2015 Improve Education in Kolkata Bengal Chambers of Commerce Kolkata,India
Workshop November,2014 Plc(Programmable Logic Circuit) Plc (Programmable Logic Circuit) Kolkata,India

SKILLS –


•    Microsoft 365 Package
•    Amazon AWS Cluster in Cloud Computing
•    Amazon Cloud S3 Bucket
•    Java using Eclipse
•    Python using virtual platform
•    Scala using Eclipse
•    HTML using Kompzer
•    Kotlin
•    SQL Database and MySQL
•    Github System
•    Agile Management
•    WEKA software for support vector machine
•    Lisp Miner

 
TECHNICAL RESEARCH PAPER REVIEW –



•    “Enhancing Ecological Forecasting with LSTM Models: the Impact of Partition-Based Data Shuffling on Predictive Accuracy” (Southeast Conference 2025)
•    "A Low-Power IoT-Based Smart Desk Integrated with a Classroom Response System" (Southeast Conference 2024)
•    "Strengthening the Nigerian Grid: Impact of SCR Thresholds on Synchronous Condenser Allocation for Inverter-Based Generation Integration" (SoutheastCon 2024)
•    “Altruistic Asd (Autism Spectrum Disorder) Virtual Reality Game Assisting Neurotypicals Understanding Of Autistic People” in 10th International Conference on Computer Science and Information Technology (CoSIT 2023)
•    “Unsupervised Adversarial and Cycle Consistent Feature Extraction Network for Intelligent Fault Diagnosis” in Applied Soft Computing Journal (2023)
•    ACM Tapia Conference (2023)
•    “Bangla Speech Emotion Detection Using Machine Learning Ensemble Methods” in Advances in Science, Technology and Engineering Systems Journal (ASTESJ) (2022)
•    “Fish Images Classification Based On Robust Features Extraction From Shape Signature Using Rbfnn And Svm” in 9th International Conference on Computer Science and Information Technology (CoSIT 2022)
•    “Trust for Big Data Usage in Cloud “ in 12th International Conference on Computer Science, Engineering and Applications(CCSEA 2022)
•    “Cryptographic  Algorithms Identification Based On Deep Learning” in 3rd International Conference on Artificial Intelligence and Machine Learning(CAIML 2022,July)
•    “Deep Learning-Based Plant Diseases Recognition” in 3rd International Conference on Artificial Intelligence and Machine Learning(CAIML 2022,July)
•    “Energy Consumption Forecasting In Industrial Sector With Machine Learning Algorithms” in 3rd International Conference on Artificial Intelligence and Machine Learning(CAIML 2022,July)
•    “An Online Graphical User Interface Application to Remove Barriers in the Process of Learning Neural Networks and Deep Learning Concepts Using TensorFlow” in 3rd International Conference on Artificial Intelligence and Machine Learning(CAIML 2022,July)
•    “Blockchain Security: Enhanced Control Evaluation Approach To Safeguard Organizations’ Accounting Information” in 3rd International Conference on Artificial Intelligence and Machine Learning(CAIML 2022,July)
•    “The Effectiveness Of Applying Different Strategies On Recognition And Recall Textual Password” in 3rd International Conference on Artificial Intelligence and Machine Learning(CAIML 2022,July)
•    “Universal Pooling - A New Pooling Method for Convolutional Neural Networks “ in Expert Systems With Applications (ESWA 2020)
•    "SA-MSVM: A Hybrid Heuristic Algorithm Based Feature Selection for Sentiment Analysis in Twitter Bigdata" in Journal of Intelligent & Fuzzy Systems (2020)

TRAINING -

SUBJECT OF INTEREST IN TEACHING -

• Microsoft Word 2016   
• Microsoft Excel 2016
• Microsoft PowerPoint 2016
• Health Informatics   
• Intelligent Systems   
• Knowledge discovery in Database   
• Database Design
• Machine Learning   
• Software Testing
• Basic HTML Programming   
• Web Design Programming
• Data structure & Algorithms    
• Analog and digital communication
• Python Programming Language   
• Computer Networks    
• Operating Systems
• JAVA Programming Language
• Operating System and Design   
• Digital signal processing
• Data Analytics   
• Wireless Sensor Networks


OTHER ACHIEVEMENTS –
•    Reviewer at SoutheastCon 2024, Atlanta.
•    Scholarship Attendee at Tapia Conference 2022, Washington, D.C.
•    Reviewer at Tapia Conference 2023, TX.
•    CRA Woman Conference in April 2023 in San Francisco, CA, as Scholarship Recipient

PUBLICATIONS -

1.    Tzacheva, Angelina A., and Chatterjee, Sanchari, “ Actionable Pattern Discovery for Emotion Detection in Big Data in Education and Business” In International Conference on AI, Machine Learning and Data Science (AIMDS 2024), Vol.13, No 6, December 2024,
DOI: https://ijcionline.com/abstract/13624ijci07
2.    Tzacheva, Angelina A., Chatterjee, Sanchari, and Ras, W. Zbigniew ,"Discovery of Actionable Patterns through Scalable Vertical Data Split Method with Meta Actions and Information Granules" , In International Journal of Data Mining & Knowledge Management Process (IJDKP), Vol.13, No. 1/2, March 2024,  pp 17 – 42
DOI:10.5121/ijdkp.2023.14202
https://aircconline.com/abstract/ijdkp/v14n2/14224ijdkp02.html
https://aircconline.com/ijdkp/V14N2/14224ijdkp02.pdf
https://airccse.org/journal/ijdkp/vol14.html
3.    Chatterjee S., Tzacheva, A.A., Ras, Z.W., “Scalable Action Mining For Improving Customer Satisfaction”, 3rd International Conference on NLP, Data Mining and Machine Learning (NLDML 2024), January 13 ~ 14, 2024, Virtual Conference https://ijcionline.com/volume/v13n1
4.    Tzacheva, A.A., Chatterjee S., Ras, Z.W., “Cloud Mining Actionable Pattern Discovery In Big Data: A Survey”, in Transactions on Machine Learning and Artificial Intelligence (TMLAI), Vol.10, No.3, 2022
DOI:https://doi.org/10.14738/tmlai.103.2022
https://journals.scholarpublishing.org/index.php/TMLAI/issue/view/406
5.    Sanchari Chatterjee, Sanghamitra Chatterjee, "Logical Models Using Boolean Network to Study Breast Cancer Signaling Pathways. “Published by International Research Journal of Advanced Engineering and Science (I.R.J.A.E.S) in the year 2017.
6.    Sanchari Chatterjee -"Studying the Risk of Backdoors In Encrypted Systems " in Tapia 2019 Conference in San Diego, CA in September 2019.