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Utsa Sen is listed as Deep Learning Engineer II Master Thesis at ISS || Uni Stuttgart EE Msc. Student based in Stuttgart, Baden-Württemberg, Germany. AeroLeads shows a work email signal at jci.com and a matched LinkedIn profile for Utsa Sen.
Utsa Sen previously worked as Master Thesis Student - Institute for Signal Processing and Systems Theory at University Of Stuttgart and Fachpraktikum - Industrial Automation Systems Lab at University Of Stuttgart. Utsa Sen holds Master Of Science - Ms, Electrical Engineering from University Of Stuttgart.
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Deep Learning Enthusiast ll Computer Vision Researcher ll Deeply Passionate about Automotive Perception and Development
Listed skills include Microsoft Word, Engineering, Leadership, Powerpoint, and 3 others.
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Stuttgart, Baden-Württemberg, Germany
Topic: Unsupervised Domain Adaptation for 2D Object Detection- Generate Taget domain dataset using stable diffusion model- Incorporate Instance copying from source dataset to Target domain dataset and train knowledge distillation based unsupervised domain adaptive model (Teacher Student Strategy) in Detectron 2 (Meta) Framework- Integrate Yolov7 into the.
Stuttgart, Baden-Württemberg, Germany
-Introduction to CAN-Real-time programming with Ada-Introduction to Microcontroller Programming-PLC – Programmable Logic Controllers-Rapid Prototyping with ASCET-SD-Test automation with Hardware-in-the-Loop
Stuttgart, Baden-Württemberg, Germany
Grade: 1.3(Sehr Gut)/1.0(Best Grade)Topic: Improving Domain Generalization of Image to Image translation models using Deep Neural Network-Main application of the project was to develop techniques such that autonomousvehicles can be able to segment road scenes reasonably well on foggy, noisy real worldimage data which it had not seen during.
Stuttgart, Baden-Württemberg, Germany
-Worked in a multidisciplinary team on labeling differenttypes of Infrastructures, defects and visual damages inconstruction elements for a neural network (AI system).-Worked on Damage optimization and study of neural networkalgorithms applicable.-Gained knowledge on Deep Learning concepts.
Pune Area, India
Field Engineering (ROW - Rest Of the World Team)1. Responsible for designing HVAC systems based on customer inputs2. Responsible for developing engineering solutions for the HVAC systems, understandingcustomer requirements, proposing control logics, preparing a complete engineeringpackage.3. Responsible for Hardware & Software designing of HVAC systems.4..
Pune Area, India
1. Basic Hardware Engineering for the Standard Systems, Damper / Room/ ValveSchedule.2. Logic Program Designing and Graphics Design for the user interface.3. Preparing Metasys System Configuration Tool (SCT) Database and Graphics for BAS.4. Development and up-gradation of Graphics templates, Advance graphics symbol library.5. Job or project review and.
Kolkata, West Bengal, India
Automatic Car Parking based Indication System.Components Used:-Microcontroller (AT89S52/AT89C51)-Photo Diode-LDR-LED-DC Motor
Activities and Societies: Photography Club Major: Smart Information Processing Courses Attended: Computer Vision, Machine Learning, Deep.
Courses Attended: Analog Electronics Circuits Digital Electronics Circuits Microprocessor and Microcontroller Circuit Theory and Networks.
Courses Attended : Math, Physics, Chemistry, Biology, English Literature, English Language, Bengali, EVS
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Utsa Sen is listed as Deep Learning Engineer II Master Thesis at ISS || Uni Stuttgart EE Msc. Student.
AeroLeads has found 1 work email signal at @jci.com for Utsa Sen.
Utsa Sen is based in Stuttgart, Baden-Württemberg, Germany.
Utsa Sen has worked for University Of Stuttgart, Viscan Solutions Gmbh, Johnson Controls, West Bengal University Of Technology, Kolkata, and Orient Infotech Inc.
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Utsa Sen holds Master Of Science - Ms, Electrical Engineering from University Of Stuttgart.
Utsa Sen is listed with skills including Microsoft Word, Engineering, Leadership, Powerpoint, Project Planning, Microsoft Office, and Management.
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