Hi!

I am Ashis Chanda, work in Artificial Lab at American Express (AMEX), New York office as a Sr. Data Scientist. My work mainly focuses on automatic chatbot, voice call, and fraud case servicing by developing advance machine learning models.

Prior to joining AMEX, I completed summer research internship in Siemens Healthineers, and Fox Chase Cancer Center. I also worked as an adjunct faculty at the Computer Science Department in Rowan University, New Jersey, USA.

I achieved my Ph.D. degree in Computer Science from Temple University, Pennsylvania, USA and my Ph.D. advisor was Prof. Slobodan Vucetic. My PhD research focuses on predicting patient’s health status from Electronic Health Records (EHRs) using NLP and deep learning models.

In more technical terms, my research and industry work focuses on applying Large Language Model, NLP, Deep Learning, Machine Learning (ML), Data Visualization, and Data Mining techniques. I am passionate about working in those fields to explore real-life problems and build a professional career in ML research.

Employments

Education

Achievements

  • Sept 2021
    Presenting our work in Applied Statistics Symposium ICSA 2021
    The International Chinese Statistical Association (ICSA) is a non-profit organization for educational and scientific purposes only, founded at the 1987 Joint Statistical Meetings in San Francisco, CA, USA.
  • June 2020
    Selected as a reviewer in ACL and EMNLP conferences
    ACL and EMNLP conferences are top-ranked conferences in Computer Science fields mainly focused on linguistic analysis and natural language processing
  • Jan 2019
    Selected as a reviewer in IEEE Access Article
    IEEE Access is one of the most high-impact journal sites in the Electric and Computer Science fields. (Impact factor: 3.36 (2020))
  • Aug 2018
    Our study on the Ranking of the U.S. CS Programs is published in ACM Communication journal
    Our study found that the U.S. News ranking of CS doctoral programs is highly correlated with faculty citations. The article is here .

Publications

Topics: Text Mining, NLP, Deep learning, Machine Learning (ML), Data Visualization, and Data Mining

EHR phenotyping via jointly embedding medical concepts and words into a unified vector space

Journal Paper
Tian Bai, Ashis Kumar Chanda, Brian L Egleston, Slobodan Vucetic
Journal of BMC medical informatics and decision making
Publication year: 2018

Joint learning of representations of medical concepts and words from EHR data

Conference Paper
Tian Bai, Ashis Kumar Chanda, Brian L Egleston, Slobodan Vucetic
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Publication year: 2017

A new framework for mining weighted periodic patterns in time series databases

Journal Paper
Ashis Kumar Chanda, Chowdhury Farhan Ahmed, Md Samiullah, Carson K Leung
Journal of Expert Systems with Applications
Publication year: 2017

Peer assessment of CS doctoral programs shows strong correlation with faculty citations

Journal Paper
Slobodan Vucetic, Ashis Kumar Chanda, Shanshan Zhang, Tian Bai, Aniruddha Maiti
Journal of Communications of the ACM
Publication year: 2018

An efficient approach to mine flexible periodic patterns in time series databases

Journal Paper
Ashis Kumar Chanda, Swapnil Saha, M. A. Nishi, Md Samiullah, Chowdhury Farhan Ahmed
Journal of Engineering Applications of Artificial Intelligence
Publication year: 2015

Contact

ashis@temple.edu

Teaching

I worked in two educational institutions as a teacher where I taught different computer science courses and guided students to build there academic projects.

Teaching Assistant @ Temple University, PA, USA

Responsibilities: Instructed in lab classes, designed, and graded programming assignments. (20+ students)
Courses:
  • - CIS 4331 Database Systems
  • - CIS 3515 Mobile Development
  • - CIS 1068 Programming Java

Lecture @ BRAC University, Dhaka, Bangladesh

Responsibilities: Created and taught courses, oversaw semester long projects, graded projects and exams. (35+ students)
Courses:
  • - CSE 470 Software Engineering
  • - CSE 370 Database Systems
  • - CSE 220 Data Structure and Algorithm

Contact

ashis@temple.edu

Reviewer

I served in different peer-reviewed journals and conferences voluntarily as a reviewer. You can see a detail description in my Publons profile.

Journals (peer-reviewed)

  • - Journal of Biomedical and Health Informatics, IEEE (Impact factor: 4.217, 2019)
  • - Neural Computing and Applications (NCAA), publisher: Springer (Impact factor: 4.21, 2019)
  • - IEEE Access, an open access journal of IEEE (Impact factor: 3.557, 2017)
  • - IEEE Transactions on Industrial Electronics (Impact factor: 4.217, 2019)
  • - Journal of Intelligent Systems, publisher: De Gruyter

Conferences (peer-reviewed)

  • - The Association for Computational Linguistics (ACL) conference, 2020. (Acc. rate: 29%)
  • - The European Association for Computational Linguistics (EACL) conference, 2020.
  • - Empirical Methods in Natural Language and Processing (EMNLP), 2020. (Acc. rate: 27%)
  • - American Medical Informatics Association (AMIA) conferences, 2019-2020. (Acc. rate: 34%)
  • - International Conference on Innovation in Engineering and Technology (ICIET), 2018-19, IEEE Computer Society.

Contact

ashis@temple.edu

Contact & Meet Me

I would be happy to talk to you if you need my assistance in your research or academic study. Please, feel free to email me and say "Hi!".
  • Office phone: 1-215-204-4894
  • Email: ashis@temple.edu

At My Office

You can find me at my office located at Temple University.

I am at my office every day from 10:00 until 5:00 pm, but you may consider a call to fix an appointment.

Office room: SERC 303
1925 N. 12th Street
Philadelphia, PA 19122

At My Blog

I love to write about my experiences. You can find my research and study posts in my blog.
Here you go.

Color styles

Color styles

Color styles