Summary
Overview
Work History
Education
Skills
Alternate Email
Research Interests
Scholarships Awards
Service
Phone
Research
Personal Information
Publications
References
Timeline
Generic

Manideepa Mukherjee Bhakat

Amherst,MA

Summary

Passionate researcher dedicated to growing professionally and advancing the field of Health and Well being through solid research.

Overview

9
9
years of professional experience

Work History

Postdoctoral Research Associate

University Of Massachusetts
Amherst, Massachusetts
04.2023 - Current
  • Designed research proposals and plans to perform instrumentation relative to research procedures.
  • Collaborated with colleagues in other departments to coordinate research efforts across multiple labs.
  • Mentored fellows, graduate and undergraduate students and to execute assigned tasks with validity.
  • Analyzed data and created visualizations to generate insights.
  • Communicated findings to our other team members from material science and clinical domain, enabling improved workflows.
  • Drafted manuscript for publication based on the research findings.

Research Fellow

University Of Massachusetts
Amherst, Massachusetts
06.2022 - 03.2023
  • Brainstorming on research problems, Conducted literature reviews on state of the art EEG devices pertaining to daytime cognitive load monitoring.
  • Designed experiments and survey instruments, prepared user study protocol, IRB protocol.
  • Conducted user studies and compiled collected data for subsequent analysis.
  • Presented the research findings to collaborators using visualizations .

Teaching Assistant

Indraprastha Institute of Information Technology Delhi
Delhi, India
01.2015 - 01.2020
  • Helped faculty instructor with lecture slide preparation, lesson plan development, scheduling, exam distribution.
  • Mentored undergraduate students for projects ideation to project presentation in Prototyping Interactive System course.
  • Graded assignments and tests and documented results into filing systems.
  • helped students to learn various concepts through one to one and small group tutoring.

Education

Ph.D. - Female Health Technologies, Wearable Sensing

IIIT-Delhi
Delhi, India
03-2023

M.Tech in - Microelectronics And VLSI Technology

West Bengal University of Technology
WestBengal, India
06-2010

B.Tech - Electronics And Communication Engineering

Asansol Engineering College
WestBengal, India
07-2005

Skills

  • Experimental Design
  • Human Factor Research
  • Usability Testing
  • Quantitative Research
  • Qualitative Research
  • Experimental Protocols
  • Data Collection
  • User study Design
  • MATLAB, Matplotlib,
  • Python (PANDAS, NumPy, SciPy, )
  • Qualtrics, RedCap

Alternate Email

manideepa.mukherjee@gmail.com

Research Interests

  • Interaction Design
  • Wearable Sensing
  • Smart Textile
  • HCI for Societal Good
  • Brain Sensing
  • Health monitoring of Older adults with Dementia

Scholarships Awards

  • Won Visvesvaraya PhD Fellowship, Govt of India.
  • Received Microsoft Research India Travel Fund for Attending UbiComp'19.
  • SIGCHI Student Travel Fund for attending UbiComp'19 in London, UK

Service

  • Associate Chair CHI Late-Breaking Works 2020, 2021
  • Reviewer NordiCHI 2020, CHI 2024
  • Technical Program Committee at DATA2022

Phone

(+1) 413-4042150, (+91) 9643323537

Research

  • Current Projects, NeuroBand: Cognitive Load Monitoring With Textile EEG Sensor, Deepak Ganesan, Trisha Andrew, Designed experiments to evaluate the headband for different applications., Designed experiments and currently conducting studies with healthy participants to evaluate the headband for a battery of cognitive tests., Performed the forward modeling simulations of the Region of Interest (ROI) of the cognitive tests to evaluate the best location for EEG electrode placement using Brainstorm software., Understanding the Prescribing Practices of Geriatric Psychiatry with Dementia, Ravi Karkar, Deepak Ganesan, Ipsit Vahia (Harvard Medical School), Designed the survey using Qualtrics., Performed qualitative and quantitative analysis of the survey data using python., Working on Manuscript preparation for submission.
  • Ph.D. Thesis: MenstruPal: A Smart Sensor For Monitoring Menstrual Rhythm, Dr. Aman Parnami, Designed a sensor for Menstrual Blood Loss Monitoring., Extended the Sensor design to make it a wearable system and conducted user studies to understand the effect of activities standing, sitting, walking, and sleeping on the sensor.
  • DFGenTool, Dr. Alexander Fell, Dr. Apala Guha, Implemented a graph generation tool for Coarse Grain Reconfigurable Architectures (CGRAs)., It is an open-source tool available on GitHub: https://github.com/manideepam/DFGenTool.

Personal Information

Title: Post Doctoral Research Associate

Publications

  • MenstruLoss: Sensor For Menstrual Blood Loss Monitoring, Manideepa Mukherjee, Sana Ali Naqvi, Anushika Verma, Debarka Sengupta, Aman Parnami, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 3, 2, Article 58, June 2019, 10.1145/3328929, 2474-9567, 219, 4
  • Challenges and opportunities of textile-based smart sanitary napkin design, Manideepa Mukherjee, Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (UbiComp/ISWC '19 Adjunct), 1044-1046, 2019, 10.1145/3341162.3349572
  • DUMask: A Discrete and Unobtrusive Mask-Based Interface for Facial Gestures, Arpit Bhatia, Aryan Saini, Isha Kalra, Manideepa Mukherjee, Aman Parnami, Augmented Humans Conference (AHs '23), 12 Pages, March 12-14, 2023, 10.1145/3582700.3582726
  • MenstruWear: In-The-Wild Study For Characterizing The Effect Of User Activities On Sanitary Napkin-Based Bodily Fluid Monitoring, Manideepa Mukherjee, Abhay Sheel Anand, Varnika Kairon, Aman Parnami, Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly '23), Article 7, 1-12, 10.1145/3605390.3605404
  • DFGenTool: A Dataflow Graph Generation Tool for Coarse Grain Reconfigurable Architectures, M. Mukherjee, A. Fell, A. Guha, 2017 30th International Conference on VLSI Design and 2017 16th International Conference on Embedded Systems (VLSID), 67-72, 2017, 10.1109/VLSID.2017.62
  • Performance analysis of a FPGA based novel binary and DBNS multiplier, Amrita Saha, Manideepa Mukherjee, Debanjana Datta, Sangita Saha, Amitabha Sinha, SIGARCH Comput. Archit. News, 41, 2, 9-16, May 2013, 10.1145/2490302.2490305
  • A novel architecture for conversion of binary to single digit double base numbers, Manideepa Mukherjee, Amitabha Sinha, SIGARCH Comput. Archit. News, 38, 5, 1-6, December 2010, 10.1145/1978907.1978909

References

  • Aman Parnami, Director, Weave Lab Cofounder and CXO, Tweek Labs Founder & CEO Ohilo, aman@ohilo.io
  • Deepak Ganesan, Prof. CICS University of Massachusetts, A343 Lederle Graduate Research Center (LGRC), Amherst, MA, 01003, dganesan AT cs DOT umass DOT edu
  • Ravi Karkar, Asst. Professor CICS University of Massachusetts, A351B LGRC, (413) 54545-1054, rkarkar@umass.edu

Timeline

Postdoctoral Research Associate

University Of Massachusetts
04.2023 - Current

Research Fellow

University Of Massachusetts
06.2022 - 03.2023

Teaching Assistant

Indraprastha Institute of Information Technology Delhi
01.2015 - 01.2020

Ph.D. - Female Health Technologies, Wearable Sensing

IIIT-Delhi

M.Tech in - Microelectronics And VLSI Technology

West Bengal University of Technology

B.Tech - Electronics And Communication Engineering

Asansol Engineering College
Manideepa Mukherjee Bhakat