

PhD Student
Robotics
and Autonomous System Laboratory Phone: (615) 343-9925
(O)
Department of
Mechanical Engineering : (615) 775-1907 (M)
Vanderbilt University E-mail: jadav.das@vanderbilt.edu
VU
Station B 351592
RESEARCH INTERESTS
Design, modeling and control of dynamical systems,
robot control, robotics rehabilitation, medical robots, and geometric modeling.
TEACHING INTERESTS
Robotics, mechatronics,
linear and non-linear control system, adaptive control system, signal
processing, engineering dynamics, linear and non-linear vibration, finite
element method, computer aided engineering design, optimization and
mathematics.
EDUCATION
VANDERBILT UNIVERSITY
Doctor of Philosophy, Department of Mechanical
Engineering
Aug. 2006 - till date
Dissertation: Handling Deformable Objects by Multiple Manipulators
INDIAN INSTITUTE OF TECHNOLOGY KANPUR
Master of Technology, Department of Mechanical
Engineering
August 2004
Thesis: Control of friction-driven oscillation by time delay state feedback
BENGAL ENGINEERING AND SCIENCE UNIVERSITY
Bachelor of Engineering, Department of Mechanical
Engineering
August 2000
Senior Project: Study the efficiencies of different rated thermal power plant
EMPLOYMENT
VANDERBILT UNIVERSITY
Research Assistant
August,
2007 – till date
-
Stroke is a
highly prevalent condition especially among the elderly that results in high
costs to the individual and society. Robot-assisted rehabilitation is a repetitive
movement exercise and standardized delivery of therapy with the potential of
enhancing quantification of the therapeutic process for stroke patients. In the
existing robotic rehabilitation systems, a therapist administers the therapy
where he/she monitors the progress of the tasks needs to be updated based on
the need of individual patient. This consumes a significant amount of time of
the therapist as well as increases his/her workload, and consequently,
increases the cost of treatment. In this research, an intelligent control
architecture based on hybrid control theory is designed for robot-assisted
rehabilitation that can autonomously monitor rehabilitation tasks including
safety issues, provide assessment of the progress of the task and alter the task
parameters if needed. A voice recognition system is developed and included into
the system to recognize how the patients feel about the task, which will then
be used to make the necessary modifications about the presentation of the task
to accommodate any problem patients perceive during the execution of the task.
A 6 degree of freedom PUMA robot with a hand attachment device is used for the
experiment. A computer is placed in front of the patients and the patients are
asked to perform some desired tasks. During the therapy, if a task requirement
changes or if the patient does not feel comfortable to move his/her arm at a
specified speed, then he/she may speak out to change the task automatically.
- Ageing is a cause of decline in muscle strength and inability to maneuvering hand movement due to the changes in motor function. Elderly individuals have difficulties in performing daily living activities like writing a note, lifting and holding objects, tying shoe laces and fastening buttons. Sometimes they have little control of their finger forces mainly due to changes in skin properties, cutaneous sensibility function and central nervous system function. Also the elderly adults have larger number of fluctuation in the grip force and even they take long time to apply forces than the younger individuals during lifting and holding operation. Human manual function such as grasping, lifting and dexterous manipulation of objects is greatly carried out by skillful use of fingers. In this research, a coordinate controller is developed for human index finger of 3 degrees of freedom (DOF) (flexion and extension (FE) type) and thumb of 5 DOF (3 FE, 2 Abduction-adduction types) to emulate the human pinch motion. Further research is needed to develop a robot-assisted hand device to assist the stroke patients or elderly individuals who have little control to manipulate the objects.
-
Breast cancer is
the most common cancer among American women and the second leading cause of cancer
death in women. Our lab has designed and developed a robotic system to position
the tumor inline with the needle insertion during the image guided breast
biopsy procedure. In continuation, I have developed an optimization technique
to position the actuators surrounding the breast to perform efficient sampling
the lesion during biopsy procedure.
VANDERBILT UNIVERSITY
Teaching Assistant
August, 2006 – till date
-
Took laboratory
of undergraduate students and held classes occasionally.
-
Graded laboratory
reports and home assignments.
TATA STEEL LIMITED
Technologist
Sept. 2004 - July 2006
-
Developed a hand
held vibration based condition-monitoring system for diverse machinery that can
predict the incipient faults in the running machines before the actual failure.
-
Developed a
comprehensive software and hardware module for recognition of fault signature
patterns in steel continuous casting process to prevent breakdown.
-
Developed a
complete software and hardware technology for real-time prediction of state
variables (i.e., percentage of carbon, oxygen and hydrogen in molten steel)
during RH Degassing process based on a model free state estimation techniques.
- Invented novel techniques to estimate the states from measurable.
INDIAN INSTITUTE OF TECHNOLOGY KANPUR
Teaching Assistant
Aug. 2002 - July 2004
-
Held classes
occasionally and helped students in their laboratory work.
-
Graded home
assignments and mid-term papers of undergraduate students.
DEVELOPMENT CONSULTANT PRIVATE LIMITED
Design Engineer
Aug. 2000 - July 2002
-
Selection of
suitable site to set up Thermal Power Plant and preparation of site selection
report.
-
Developed
complete Power Plant layout and system drawing in AutoCAD.
-
Prepared
feasibility report and detailed project report.
HONORS AND AWARDS
Graduate Research and Teaching Assistant Scholarship,
Department of Mechanical Engineering,
Graduate Student Travel Award,
Graduate Teaching Assistant Scholarship, Department of
Mechanical Engineering, Vanderbilt University, USA, August 2006 – July, 2007
GRE and TOEFL qualified, 2005
Ministry of Human Resource Development Scholarship,
98.76 percentile in GATE (Graduate Aptitude Test in
Engineering) with All India Rank 223, 2002
Top five (7% of the class) in Bachelor of Engineering,
Bengal Engineering and
Silver Medal from
Bronze Medal from Domjur Thana Utsab Samanay
Committee,
Top in
PUBLICATIONS
1. Jadav Das and Nilanjan Sarkar, “Shape Control of a Deformable Object by Multiple
Manipulators,” Proceedings of the 2009
IEEE International Conference on Intelligent Robots and Systems,
2. Duygun Erol, Furui
Wang, Jadav Das, Nilanjan
Sarkar, and Thomas Groomes.
A Step Toward Increasing Automation in Robot-Assisted
Rehabilitation. IEEE International Conference on Biomedical Robotics and
3. Arya K. Bhattacharya, S. Debjani, A. Roychowdhury and Jadav Das. “Optimization of continuous casting mould oscillation parameters in steel manufacturing process using genetic algorithm,” IEEE Congress on Evolutionary Computation, pp. 3998-4004, 2007.
4. J. Das and A.K. Mallik. “Control
of friction-driven oscillation by time-delay state feedback” Journal of Sound and Vibration, volume
297, issues 3-5, pp. 578-594, 2006.
5. A. K. Bhattacharya, P. S. Srinivas,
Jadav Das, Gyan Prakash, J. B. Singh and Sunil Kumar. “Auto-adaptation of breakout detection
algorithm with grade based on temperature patterns in continuous casting mold,”
Automation & Information Technologies
in Iron and Steel making. Research and Development Centre for Iron &
Steel (RDCIS),
6. Arya K. Bhattacharya, P. S. Srinivas,
K. Chithra, S. V. Jatla and
Jadav Das. “Recognition of
Fault Signature Patterns Using Fuzzy Logic for Prevention of Breakdowns in
Steel Continuous Casting Process,” Lecture
Notes in Computer Science, volume 3776, 318-324, 2005.
PATENTS
1. A. K. Bhattacharya, P. S. Srinivas,
J. Das and C. Bhanu.
“Method for
real-time prediction of carbon percentage during RH Degassing process using
model free states estimation technique,” filed 2005-06-03, 2007,
LIST OF REFEREES
1. Prof.
Nilanjan Sarkar, Department of Mechanical Engineering, Vanderbilt University,
VU Station B 353592, Nashville, TN 37235, TN, USA (nilanjan.sarkar@vanderbilt.edu).
2. Prof. George E. Cook, Dean of Research and Graduate Studies, Department of Electrical Engineering, Vanderbilt University, VU Station B 351826, Nashville, TN 37235, USA (george.e.cook@vanderbilt.edu)
3. Prof. Michael Goldfarb, Department of Mechanical Engineering, Vanderbilt University, Vu Station B 353592, Nashville, TN 37212, USA (michael.goldfarb@vanderbilt.edu).
4. Prof.
Eric J. Barth, Department of Mechanical Engineering, Vanderbilt University,
VU Station B 353592, Nashville, TN 37235, TN, USA (barthej@vanderbilt.edu).
5. Prof.
Asok Kumar Mallik, Department of Mechanical Engineering, Indian