Dept. of ECE: Research

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Research Activities of the Faculty Members of ECE Department

Department of ECE, Brainware University has an ambitious plan of increasing both the quality and quantity of doctoral level research. A lively atmosphere for research work exists in the said Department that encourages close collaboration among all the stakeholders of the Department. The faculty members of ECE Department are working in various research areas like Nanoelectronic Devices, Semiconductor Devices, Emotion Recognition, Digital Image Processing, Fiber & Integrated optics, Network Security, Sensor Networking etc. At present six PhD students are enrolled in the Department of ECE under the guidance of existing Faculty members. 

 

Publications of Departmental Faculty members

Research Publications in 2018-19


Sl No.

Name of Authors

Title of the Papers

Publishers

1.

Sankar Gangopadhyay

Mismatch considerations in laser diode to single-mode circular core triangular index   fiber excitation via upside down tapered hemispherical microlens on the fiber tip

Optik (Elsevier) 

2.

Sankar Gangopadhyay

Accurate prediction of effective core area and effective index of refraction of single mode graded index fiber by a simple technique

Journal of optoelectronics and advanced materials

3.

Sarosij Adak

Impact of high–K dielectric materials on performance analysis of underlap In0.17Al0.83N/GaN DG-MOSHEMTs

NANO: Brief Reports and Reviews

4.

Sarosij Adak

Comparison of linearity Performance of InAs based DG-MOSFETs with Gate Stack, SiO2 and HfO2

IEEE Proceedings

5.

Sarosij Adak

Study of Linearity Performances of Junction less Triple Material Cylindrical Surrounding Gate MOSFET

IEEE Proceedings

6.

Sarosij Adak

Effect of AlGaN Back Barrier on InAlN/AlN/GaN E-Mode HEMT

IEEE Proceedings

7.

Mithun Maity

Anup Kumar Maiti

Sankar Gangopadhyay

Prediction of Effective Core Area and Index of Refraction of Single-mode Graded Index Fiber in Presence of Kerr Nonlinearity 


IEEE Proceedings

8.

Indronil Mazumder

An Analytical Approach of EEG Analysis for Emotion Recognition 


IEEE Proceedings

9.

Arighna Basak

Analytical study of unipolar junction transistor as a novel dual material double gate MOSFET to suppress short-channel effect 


IEEE Proceedings

10.

Arighna Basak

Analytical Drain Current Model of UTBB SOI MOSFET with lateral dual gates to Suppress Short Channel Effect

IEEE Proceedings