Dr. Seema Singh
Professor
Qualification : B.Tech, M.Tech , Ph.D
Teaching Experience : 17 Years
Research Experience : 10 Years
Specialization : Artificial Neural Networks
About me:
Dr. Seema Singh got her B.Tech (Electronics and Communication Engineering) degree form Jamia Millia Islamia, a Central University, Delhi in 2002. Her M.Tech degree is in Electronics branch from Sir MVIT, Bangalore in 2007. She is Gold medalist and VTU rank holder in M.Tech degree. She is awarded the PhD degree from JNTU, Hyderabad in the year 2015 in the area of Neural Networks and Flight control systems. Currently, she is working as Professor and Head in Dept. of Electronics and Telecommunication Engineering, BMSIT&M. She has 17 years of teaching experience and 10 years of research experience. She has authored one book chapter, 30 publications in reputed International Journals and International/National Conferences. She has received award for guiding best project of the year from KSCST during 2015. Her research interest lies in the field of anomaly detection, neural networks, image processing, Control Systems, biomedical engineering. She has given several expert talks on Artificial Neural Networks and its Applications and chaired many sessions of conferences. Her research work is mainly dedicated to application of neural networks in varied fields with undergraduate, postgraduate and PhD scholars. She has filed a patent in 2018, which dealt with application of neural network in image processing field. Google scholar profile: https://scholar.google.co.in/citations?hl=en&user=RNFVjM0AAAAJ Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=55740396300
Dr. Seema Singh got her B.Tech (Electronics and Communication Engineering) degree form Jamia Millia Islamia, a Central University, Delhi in 2002. Her M.Tech degree is in Electronics branch from Sir MVIT, Bangalore in 2007. She is Gold medalist and VTU rank holder in M.Tech degree. She is awarded the PhD degree from JNTU, Hyderabad in the year 2015 in the area of Neural Networks and Flight control systems. Currently, she is working as Professor and Head in Dept. of Electronics and Telecommunication Engineering, BMSIT&M. She has 17 years of teaching experience and 10 years of research experience. She has authored one book chapter, 30 publications in reputed International Journals and International/National Conferences. She has received award for guiding best project of the year from KSCST during 2015. Her research interest lies in the field of anomaly detection, neural networks, image processing, Control Systems, biomedical engineering. She has given several expert talks on Artificial Neural Networks and its Applications and chaired many sessions of conferences. Her research work is mainly dedicated to application of neural networks in varied fields with undergraduate, postgraduate and PhD scholars. She has filed a patent in 2018, which dealt with application of neural network in image processing field. Google scholar profile: https://scholar.google.co.in/citations?hl=en&user=RNFVjM0AAAAJ Scopus profile: https://www.scopus.com/authid/detail.uri?authorId=55740396300
Memberships in Professional Bodies
- IETE
- IEEE
- CSI (Computer Society of India)
Skills
- Programming Skills (C, Assembly level, Hardware description language)
- Software – (Keil, Xilinx, Modelsim, MATLAB, Simulink, LabView)
Invited Talks Delivered : 6
Workshops Attended/Organized/Invited Talks
- National Conference on Emerging trends in VLSI design and Embedded Systems (ETVDES-2013)
- Five days inter department workshop on "Advanced Controllers"
- Five days winter short term course on “Basics of Embedded Systems – Module 1"
- Convener of 5 days workshop on "Multisim, Labview and data acquisition using Labview", ECE Dept, BMSIT
- Conducted three sessions of guest talk including hands on session on MATLAB for control systems for 4th semester students with Dr. T V Rama Murthy during May, 2017.
- Conducted 5 days Workshop on “ Practicing OBE & ICT tools in Engineering Education”, as Convener of the workshop from 24th July to 28th July 2018
Additional Responsibilities
- Cultural Secretary during academic year 2011-12
- Parents Relation cell in-charge since November 2014.
- Chief Coordinator for ICC (Internship Coordination Cell) for students from 2015 to 2018
- Alumni Incharge for ECE Students from 2013 to 2017
- SPARC (Students Project Assessment and Review Committee) Incharge for ECE Students from 2015 to 2017
- Institute Innovation Cell Coordinator (supported and recognized by MHRD IIC) since 2018
Journals
| Journal Name | Journal Type | Volume Number | Issue Number | ISSN ISBN | Paper Title |
|---|---|---|---|---|---|
| International Journal of Computer Applications (IJCA) | International | 59 | 13 | 0975-8887 | Neural Network based Sensor Fault Detection for Flight Control Systems |
| Journal of Intelligent systems (JISYS), De Gruyter | International | 22 | 3 | Online ISSN: 2191-026X, print ISSN 0334-1860 | Neural Network based Sensor Fault Accommodation in Flight Control System |
| Springer series – LNEE (Emerging Research in Electronics, Computer Science and Technology) | International | 248 | 1 | ISSN 1876-1100. ISSN 1876-1119 (electronic) | Design of an Optimal Yaw Damper for 747 Jet Aircraft Model |
| IOSR Journal of Computer Engineering (IOSR-JCE) | International | 16 | 1 | ISSN 2278-0661 | Intelligent Fault Identification System for Transmission Lines Using Artificial Neural Network |
| International Journal of Engineering Research and Application | International | 3 | 6 | 2248-9622 | A wireless secured direct data transmission between authenticated portable storage devices through GSM network |
| International Journal Of Recent Advance in Engineering & Technology | International | 2 | 1 | 2347 – 2812 | Design and implementation of pipelined reversible floating point multiplier using CSA |
| IOSR Journal of Electronics and Communication Engineering (IOSR - JECE) | International | 9 | 3 | e-ISSN: 2278-2834, p-ISSN: 2278-8735 | Image Restoration and Enhancement Using Unified Blind Method |
| International Journal of Computer Science and Information Technologies | International | 5 | 3 | 0975-9646 | An Efficient Neural Network Based System for Diagnosis of Breast Cancer |
| Simulation of Sensor Failure Accommodation in Flight Control System of Transport Aircraft: A Modular Approach | International | 11 | 1 | 1746-7233 | Simulation of Sensor Failure Accommodation in Flight Control System of |
| IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) | International | 10 | 3 | 2278-2834 | FPGA Implementation of a Trained Neural Network |
| International Journal of Biomedical and Clinical Engineering (IJBCE), IGI Publishers | International | 4 | 2 | 2161-1610 | Neural Network Based Automated System for Diagnosis of Cervical Cancer |
| International Journal of Latest Research in Engineering and Technology | International Journal | July, 2016, pp 38-41 | Special issue on NC3PS | “Artificial Intelligent System For Diagnosis Of Cervical Cancer: A Brief Review And Future Outline” | |
| International Journal of Latest Research in Engineering and Technology | International | July, 2016, pp 102-107 | Special issue on NC3PS | “Neuro-Fuzzy Integrated System For Biomedical Application: A Brief Review And Future Outline” | |
| HELIX Journal, Bioaxis | International | 7 | 5 | 2319-5592 | Waste Segregation System Using Artificial Neural Networks |
| TEST Engineering & Management | International | 82 | 1 | 01934120 | "Performance Comparison of Conventional Neural Networks and Deep Learning Network For Cervical Cancer Diagnosis", TEST Engineering & Management, Vol 82 (1), 2020, pp 5469 - 5477 |
Conferences
| Conference Name | Venue | Date | Paper Title |
|---|
Awards/Recognition/Achievements/Others
- VTU Rank holder in M.Tech
- Gold Medalist in M.Tech
- Four B.E. Projects selected and sponsored by Karnataka state council for science and technology (KSCST) from 2013 to 2019
- "Project of the year" award by KSCST for academic year 2014-15 for the Project titled, "Neural Network based Automated System for the Diagnosis Of Cervical Cancer"
- Filed patent on 'Waste segregation using neural networks' in 2018.
MOOCs
- Machine Learning A-Z: Hands on Python and R in Data Science - Registered at Udemy and completed on 26th September 2018