Services & Skills

Services

Journal/Conference Panelist

• IEEE-iSES 2021 Women in Engineering, Student Panel Session, Panelist, 2021. 

Technical Program Committee

• 2022 5th International Internet of Things Conference (IFIP) - Smart Villages - Session Chair.       

• 32nd ACM Great Lakes Symposium on VLSI (GSVLSI) 2022 - Microelectronic Systems Education. 

• IEEE – iSES 2022, Women in Engineering Chair.

• 2022- 20th OITS International Conference on Information Technology (OCIT) – Data Science (DSC)

• 2022 IEEE International Symposium on Smart Electronic Systems (iSES) – Hardware/Software for the Internet of Things and Consumer Electronics (IoT)

• Carolinas Women in Computing 2022, An ACM-W Celebration.

• 2021- 19th OITS International Conference on Information Technology (OCIT) – Data Science (DSC)

• 2021 IEEE International Symposium on Smart Electronic Systems (iSES) – Hardware/Software for the Internet of Things and Consumer Electronics (IoT)

Journal/Conference Reviewer

• • Applied Artificial Intelligence, 2022.

  • Measurement, 2022.

  • Transactions of Consumer Electronics, 2022. 

  • Multidisciplinary Digital Publishing Institute, 2022.  

  • 2nd International Conference on Machine Learning and Information Processing, 2020.

  • IEEE International Smart Cities Conference, 2022.

  • Future Generation Computer Systems, 2020.

  • SN Computer Science, 2020.

  • ACM Great Lakes Symposium on VLSI (GLSVLSI), 2018.

  • IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2018.

  • IEEE Consumer Electronics Magazine (CEMAG), 2022.

Guest Lectures: 

• Machine Learning- Basics and Applications, Invited Lecture, School of Engineering and Technology, Central Michigan University, Mar 2021. 

• Smart and Intelligent Healthcare Cyber-Physical Systems, Invited Lecture, Min H. Kao Department of Electrical Engineering and Computer Science, University of Tennessee, Nov 2021.  

Technical Skills

Hardware/Software Description languages : Verilog, VHDL, C, C++, Java, Python.

Operating Environments : Windows, Linux

Machine Learning: Supervised, unsupervised and Reinforcement algorithms, NumPy, scikit learn, NLTK, TensorFlow, PyTorch, Keras, Caffe2.

IoT Skills and Tools: JSON, CupCarbon, ThingSpeak.

Data Analytics and Visualization: Excel, Google Sheets, Pandas, matplotlib, Jupyter Notebook, Tableau, OpenCV, MATLAB.              

Embedded Skills and Tools: Assembly Language Programming (8085/8086, Intel x86, ARM), Embedded C, PCB design 

EDA tools: AVR studio, MULTISIM, ISIS professional, Kiel, XILINX ISE 9.2I, IAR Embedded Workbench, MicroC, Xilinx ISE and Vivado, Arduino, ModelSim, QuestaSim, MS, Visual Studio, Cadence – Schematic and Virtuoso, PSpice, Creo, LTSpice, SolidWorks.

System Design: SIMULINK

Additional Training:

• Neural Networks and Deep Learning, Coursera.

• Introduction to Internet of Things and Embedded Systems, Coursera. 

• Attended workshop on "8051 Microcontroller Programming & Applications", Advanced Training Institute for Electronics and Process Instrumentation, Government of India. 

• Attended workshop on "PCB Design of Electronic Circuits", Indo Global Services.

• Attended workshop on "Cloud Computing", Nexus Software Technologies. 

• Attended workshop on "Introduction to Image Processing using MATLAB", VITS.