Dr. Vijay Khare (Ph.D., IIT Delhi)

Ph.D. | Oct 2013 | Indian Institute of Technology Delhi, New Delhi
Centre for Biomedical Engineering
Aggregate : 7.5/10 (CGPA)
Title of thesis: ‘Functional Neuroelectric Mapping of Alpha dynamics of Imagery
Task: An Optimal System for physically challenged (Machine Learning )

M.Tech. | Aug 1999-May 2000 | Netaji Subhas  Institute of Technology (NSIT), New Delhi
M.Tech. in Instrumentation and Control
Aggregate: 7.01/10 (CGPA)
M.Tech thesis: Identification and Control of Dynamical systems based on Neural Network

B.E. | Jul 1995-May 1998 | Barkatullah University, Bhopal
B.E. in Electronics and instrumentation  Engineering
Institution: SATI, Vidisha
Passed out with first class (67 %) 

Total Experience: 22 years

Organisation: JIITU, Noida
Designation: Associate professor
Experience: Working from Jul 2005 to Till Date

Organisation: JSSATE, Noida
Designation: Lecturer
Experience: Working from Apr 2004 to Jun 2005

Organisation: BIET, Jhansi
Designation: Lecturer
Experience: 3 year (Jan 2001 to Mar 2004)

Job Profile: Involved with wide spectrum of activities including:
-Academic Work
-Teaching
-PhD Coordinator(2016-21)
-Program Coordinator  for M.tech  Machine 
-Learning and Signal Processing 
-Involved in NAAC Accreditation work
-PAC Committee member for NAAC 
-Alumni Committee member for NAAC
-Designing course file For NBA
-Group Head of signal processing group
-B.tech Project Guidance
-Involved in Class-coordination
-Developed Machine Learning Lab

Detection of Parkinson’s Disease from fMRI data using Machine Learning Funding Agency Science and Engineering Research Board (SERB) under scheme Core Research grant (Total Cost: Rs. 32,96,000/-).

FPGA Programming work, on Z-mod patented Technology for Broadcast & Communication Application (TDR foundation,510000/-).

1. Gaurav Verma (14402204) - Analysis of Power Reduction Techniques and Low Power Estimation Model for FPGA Implementations. (Completed 2018)
2. Shradha Saxena (15402002) - Simulation and Performance Analysis of Resonant and Multi-resonant Piezoelectric Energy Harvesters. (Completed 2022)
3. Neerja Singh (18402014) - Low Power FPGAs Implementations using Machine Learning (Synopsis submitted).
4. Manju Singh, (Enroll. No. 19402016) - Analysis and Detection of Parkinson’s disease using Machine Learning. (On going)
5. Mr. Anil Kumar - Low power device. (On going)

I. Papers published in International journal

1.    Vijay Khare"Automatic Detection of Exudates in Retinal Image Using Statistical Techniques”Ingénierie des Systèmes d’Information vol. 28, No. 1, February, 2023, pp. 255-261, https://doi.org/10.18280/isi.280130 (Scopus indexed).
2.    Vijay Khare and Sakshi Kumari "Detection of Brain Tumor Based on Multimodality Brain Image Fusion Using Dual Branch Convolution Neural Network”Ingénierie des Systèmes d’Information Vol. 28, No. 2, April, 2023, pp. 475-482
Journal homepage: http://iieta.org/journals/isi (Scopus Indexed).
3.    Manju Singh and Vijay Khare  "Detection of Parkinson’s Disease Using the Spiral Diagram and Convolutional Neural Network”Ingénierie des Systèmes d’Information Vol. 27, No. 6, December, 2022, pp. 991-997. https://doi.org/10.18280/isi.270616 (Scopus indexed).
4.    Vijay Khare and Manju Singh "Performance Analysis of Different classifiers for Tele-diagnosis of Parkinson’s disease”Wireless Personal Communications(Springer)August 21, 2021, Wireless Personal Communications, № 122, p. 331-348 (https://doi.org/10.1007/s11277-021-08901-6 (H index-37,impact factor -1.2,INDEXED in SCI & SCOPUS).
5.    Singh N., Verma G., Khare V., "Power Estimation and Validation of Embedded Multiplier Based on ANN and Regression Technique”, Journal of Circuits, Systems and Computers (SCIE indexed, impact factor of 1.3), vol. 31, no. 05, pp. 1-24, 2022, DOI:https://doi.org/10.1142/S0218126622500864.
6.    Singh N., Verma G., Khare V., "Statistical Power Assessment Model for MAC System Based on Low Power Technique”, IEEE Transactions on Very Large -Scale Integration(VLSI)Systems (Communicated).
7.    Singh N., Verma G., Khare V., "Accurate Power Estimation Identity for DSP BlocksTargeted to FPGAs”, Ingénierie des Systèmes d’Information (Scopus indexed, IF 1.79), vol. 27, no. 4, pp. 539-548, 2022. DOI:https://doi.org10.18280/isi.270403.
8.    Singh N., Verma G., Khare V., "Power Estimation of QPSK and BPSK Modulation Systems for FPGAs based on IP Modeling for Wireless Applications”, May 2023, Wireless Personal Communications(Springer) (accepted).
9.    S Saxena, RK Dwivedi, V Khare, "Multi-Piezoelectric Materials Based Doubly Clamped Energy Harvester”, Journal of Materials Science-Materials in Electronics, vol. 31, no. 9, pp. 6998-7011, 2020.(IP=2.1, Scopus & SCI Index).
10.    Saxena S., Dwivedi R. K., Khare V., "Tuning of a Wide Range of Low Resonance Frequencies by a Novel Multi-Resonant Piezoelectric Energy Harvester”, Materials Today: Proceedings, vol. 28, no. 1, pp. 85-87, Feb 2020. (SCOPUS indexed, 1.3(CiteScore))https://doi.org/10.1016/j.matpr.2020.01.312.
11.    Saxena S., Dwivedi R. K., Khare V.,"Multi-Piezoelectric Materials basedDoubly Clamped Energy Harvester”, Journal of Materials Science-Materials in Electronics, vol. 31, no. 9, pp. 6998-7011, May 2020. (Indexed in SCI,SCOPUS).
12.    Saxena S., Dwivedi R. K., Khare V., "Analyze the Effects of Cavity within   Low Frequency based Multi Resonant Piezoelectric Energy Harvester with One Straight and Two L-Shaped Branches”, Applied Physics A., vol. 127,no. 10, pp. 1-17, Sept. 2021. (IP=2.584, Indexed in SCI, SCOPUS).
13.    Saxena S., Dwivedi R. K., Khare V., "Design and Simulation of Cavity and Piezoelectric Material Structure in Segmented Doubly Clamped Piezoelec tric Energy Harvester”, Energy Storage, vol. 4, no. 5, pp. e352, May 2022.(DOI: https://doi.org/10.1002/est2.352).
14.    Gaurav Verma,, Manish Kumar, and Vijay Khare Low Power Synthesis and Validation of an Embedded Multiplier for FPGA Based Wireless Personal Communications (Springer)vol 95,issue 2 pp 353-364 364 Nov 19, 2019 (H index-37,impact factor -1.2,INDEXED in SCI & SCOPUS).
15.    Gaurav Verma,, Manish Kumar, and Vijay Khare Analysis of Low Power Consumption Techniques on FPGA for Wireless Devices, Wireless Personal Communications(Springer)vol 95,issue 2 pp 365-373 Nov 19, 2019  (H index-37,impact factor -1.2,INDEXED in SCI & SCOPUS).
16.    Gaurav Verma, Manish Kumar and Vijay Khare, "More Precise FPGA Power Estimation and Validation Tool (FPEV_Tool)for Low Power Applications”, Wireless Personal Communications volume 106, pages 2237–2246 (2019)doi.org/10.1007/s11277-018-5938-4,245(H index-37,impact factor -1.2,INDEXED in SCI & SCOPUS).
17.    Gaurav Verma, Manish Kumar and Vijay Khare, "Regression based FPGA power estimation tool (FPE_Tool)for embedded multiplier block International International Journal of Information Technology volume 11, pages 795–798 (2019) (https://doi.org/10.1007/s41870-018-0193-1). (Scopus indexed).
18.    Vijay Khare, Ritika Dubey, Aditi Narang "Registration and Fusion of CT and MRI Images”International Journal of Engineering and Advanced Technology (IJEAT)ISSN: 2249 – 8958, Volume-8 Issue-6, pp 5017-5021,August 2019 (Scopus Indexed).
19.    Gaurav Verma,, Manish Kumar, and Vijay Khare. "Low Power Techniques for Digital System Design."Indian Journal of Science and Technology vol 8, issue.17 IPL063 August 2015.(H Index -25, Indexed in Web of Science & Scopus).
20.    Gaurav Verma, Chetna Dabas, Ashish Goel, Manish Kumar, and Vijay Khare. "Clustering Based Power Optimization of digital circuits for FPGAs’, Journal of Information and Optimization Sciences (Taylor & Francis),vol 38,issue 6 pp 1029-1037 Oct2017.(Indexed in Web of Science &ESCI Thomson Reuter).
21.    Vijay Khare, Jayashree Santhosh, Sneh Anand and Manvir Bhatia "Performance comparison of neural network training methods based on wavelet packet transform for classification of five mental tasks”, Journal Biomedical Science & Engineering, ()vol 3,no 6, pp 612-617,2010 .
22.    Vijay khare, Jayashree Santhosh and Sneh Anand and Manvir Bhatia (2007),"Controlling wheelchair using Electroencephalogram (EEG)”, International Journal of Computer Science and Information Security, Vol. 8, No.2,pp 181-187 2010(Impact Factor 0.519).(ESCI - IP & Science - Thomson Reuters - Web of Science.).
23.    V. Khare, J. Santhosh, S. Anand and M. Bhatia, "Classification of Five Mental Tasks Based on Two Methods of Neural Network ”, International Journal of Computer Science and Information Security, Vol. 8, No.3, pp 86-92 2010 (Impact Factor 0.519) (ESCI - IP & Science - Thomson Reuters - Web of Science.).
24.    Vijay Khare and Deepak kumar Singhal, "Identification of Obstructive Sleep Apnea using Neural Networks, " International Journal of Computer Science and Information Security Vol. 14,No. 9, pp. 680-685 2016 (Impact Factor 0.519) (ESCI - IP & Science - Thomson Reuters - Web of Science.).
25.    Vijay Khare, Jayashree Santhosh, Sneh Anand and Manvir Bhatia, "Brain Computer Interface Based Real Time Control of Wheelchair Using Electroencephalogram”International Journal of Soft Computing and Engineering (IJSCE)vol-1 issue-5, pp 41-45, 2011.
26.    Mathur, Abhishek, Gupta, Ankur and Khare, Vijay, Speech Recognition Based on Confidence Value of the Engine. The IUP Journal of Information Technology, Vol. 6, No. 3, pp. 51-57, September 2010. Available at SSRN: http://ssrn.com/abstract=1706548.
27.    V. Khare, J. Santhosh, S. Anand, M. Bhatia, "Classification of Five Mental Tasks from EEG Data using Neural Network Based on Principal Component Analysis”Indian Journal of Science & Technology, vol 5, No 4, pp31-38, 2009. 
28.    V. Khare, J. Santhosh, S. Anand, M. Bhatia, "Performance Comparison of Three Artificial Neural Network Methods for Classification of Electroencephalograph Signals of Five Mental Tasks”Journal Biomedical Science & Engineering, (DOI: 10.4236/jbise. 2010.32026)vol. 3, no 2,pp 200-205, 2009.
29.    Shreya Garg &Vijay Khare "Classification of Sleep Stages Using Neural Network Based on EEG and EOG signals"International Journal of Computer Science and Information Security vol 12 No 8 PP 77-79 August 2014 (Impact factor 0.519) (ESCI - IP & Science - Thomson Reuters - Web of Science.).
30.    Gaurav Khare, Vijay khare, "Image, Audio and Video Water-marking Using LSB and DCT”Indian Journal of Computer Sciences, No 4 Oct 2016.
31.    Manayk Aggarwal, Vijay Khare, "Visualised Home Lightning System Using Processing Software, Journal of Electrical & Electronics Engineering, Vol. 4 No. 1, 2017.
32.    Khyati Meena, Shubham Gupta,Vijay Khare "Wall Climbing Robot based on Suction Technique" International Journal of Electronics, Electrical and Computational System IJEECS Volume 6, Issue 1, page-37-42 January 2017.
33.    Anshul Singh,Neha Mehra,Shaurya Singh, Shamim Akther, Chakresh Kumar Jain,Vijay Khare "Analysis and Identification of Parkinson disease based on fMRI”International Journal of Engineering Technology, Management and Applied Sciences January 2017, Volume 5, Issue 1, ISSN 2349-4476.
34.    Neeti Kumari and Vijay Khare,”Home Automation using Speaker Identification”International Journal of Electronics, Electrical and Computational System IJEECS ISSN 2348-117X Volume 6, Issue 5, page 253-256, May 2017.
35.    Khyati Meena, Shubham Gupta,Vijay Khare "Voice Controlled Wheelchair "International Journal of Electronics, Electrical and Computational System IJEECS Volume 6, Issue 4, page 23-27, April 2017.
36.    Ishan Gulati, Gautam Vig and Vijay Khare "Real Time Handwritten Character Recognition using ANN”International journal of Engineering sciences and ResearchTechnology vol 3 pp 357-362 2018.
37.    Vijay Khare and Deepak kumar Singhal, "Performance Comparison of two Classifiers for EEG Signals during Planning of Hand Movement "Journal of Artificial Intelligence, Machine Learning and Soft Computing Volume 2 Issue 2, pp. 11-19,2017.
38.    Prateek Bansal, Ritvik Singha and Vijay Khare "Eye Controlled Wheelchair using Image Processing Techniques”International Journal of Science and Research (IJSR)vol 9 issue 10 October 2020, ISSN:2319-7064.
39.    Vijay Khare,Shaurya Singh, Neha Mehra, Shamim Akhter and Chakresh Kumar Jain "fMRI: A Benediction to Neuroscience”International Journal of Robotics and Automation Technology vol 5 2018(DOI: http://dx.doi.org/10.15377/2409-9694.2018.05.3).
40.    Vijay Khare, Pratiroop Puri and Kratik Chaurasia ; Helmet Detection Using Yolo -V3 Technique; International Journal of Trend in Scientific Research and Development (ijtsrd),ISSN: 2456-6470, Volume-6 | Issue-2, February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49341.pdf.
41.    Rishabh Kaloni and Vijay Khare, "The Existence Of Optical Fiber In A Communication System - A Review”GIS SCIENCE JOURNAL, VOLUME 9, ISSUE 10, Page No: 79-92 2022, DOI:20.18001.GSJ.2022.V9I10.22.40150.
42.    Khare, V. & Kumari, S. (2022). Performance Comparison of Three Classifiers for Fetal Health Classification Based on Cardiotocographic Data, Acadlore Trans. Mach. Learn., 1(1), 52-60. https://doi.org/10.56578/ataiml010107.
43.    Khare, V. & Kaloni, R. (2022). "COVID-19 - Outbreak Prediction Using SIR Model”Acadlore Transactions on AI and Machine Learning., Volume 1, Issue 2, 2022, Pages 109-123, https://doi.org/10.56578/ataiml010205.
44.    Vijay Khare, "Localization of Optic disc in normal and pathological retinal images"for the International Journal of Artificial Intelligence and Soft Computing. (SCOPUS (SJR 2015 = 0.219)INDEXED).
45.    Vijay Khare "Automatic Detection of Exudates using Statistical techniques”International Journal of Biomedical Engineering and Technology (under review) (SCI INDEXED).
46.    Vijay Khare "A BCI System for Physically Challenged Based on Alpha Dynamics of EEG Signals”Wireless Personal Communications (Springer) (under review) (SCI INDEXED).
47.    Vijay Khare "Classification and Analysis of Parkinson’s Disease based on Gabor and Wavelet Filters”Wireless Personal Communications (Springer) (under review) (SCI INDEXED).
48.    Saxena S., Dwivedi R. K., Khare V., "Effect of Simultaneous Use of Two Different Piezoelectric Materials on the Performance of Cavity based Segmented Doubly Clamped Piezoelectric Energy Harvester”. (Communicated).
49.    Saxena S., Dwivedi R. K., Khare V., "A Novel Low Frequency based Multi Resonant Piezoelectric Energy Harvester with One Straight and Two Types of L-Shaped Branches”. (Communicated).
50.    Saxena S., Dwivedi R. K., Khare V., "Review Article on Piezoelectric Energy Harvesting System: Materials, Devices and Circuits”. (Communicated).

II. Conference proceedings

1.    Vijay khare, Jayashree Santhosh and Sneh Anand (2006)  'Wavelet Based Compression Technique of Electro-Oculogram Signals’ Kuala Lumpur International conference on Biomedical Engineering 2006, 11-14 December, Kuala Lumpur, Malaysia pp440-443 vol -15, IFMBE Proceeding. 
2.     N. Gupta, S. Gupta, V. Khare, C. K. Jain and S. Akhter (2008)  'An Efficient  Model  to Decipher the Electroencephalogram Signals Using Machine Learning    Approach  Kuala Lumpur International conference on Biomedical Engineering 2008, 25- 28 June, Kuala Lumpur, Malaysia pp782-785 vol -21,IFMBE Proceeding. 
3.    Vijay khare, Ayush Bandari, Mrinal Trikha, Sneh Anand  'Wavelet based Novel Techniques for Signal Conditioning of Electro-Oculogram signals’. IEEE INDICON 2006 15-17 sept, New Delhi,pp 1-6.
4.    Minal Trikha Ayush Bandari, Tapan Gandhi Vijay Khare  'Multi Channel elctrooculogram classification using automata’ International workshop on medical measurement and application MeMeA 2007 warsaw Poland” May 4-5, 2007pp 1-5. Pages: 1 - 5, DOI: 10.1109/MEMEA.2007.4285158.
5.    Vijay Khare, Jayashree Santhosh and Sneh Anand “Performance comparison using five ANN methods for classification of EEG signals of two mental states”, IEEE INDICON, Kanpur, 11-13 December 2008. Year: 2008, Volume: 1 Pages: 7 - 10, DOI: 10.1109/INDCON.2008.4768792.
6.    Vijay Khare, Jayashree Santhosh and Sneh Anand, “Classification of EEG Signals based on Neural Network to Discriminate Five Mental States”, SPIT-IEEE Colloquium 2008, Mumbai, India, vol-1pp 24-26,Feb. 4-5,2008.
7.    Vijay Khare, Samaksh Kumar, Abhimanyu Malik, “Classification of EEG Signals Using Principal Component Analysis And Support Vector Machine”, IEEE Bangalore Section - 18th Annual Symposium on Emerging Needs in Computing, Communication, Signals and Power ENC2SP 2009,29 August 2009, Bangalore.
8.    Vijay Khare, Samaksh Kumar, Abhimanyu Malik, “Mental Task Classification Based On Principal Component Analysis and Neural Network, MATEIT 2010, 3rd National Conference on Mathematical Techniques : Emerging Paradigms for Electronics and IT Industries sponsored by University Grants Commission (UGC), Govt. of India. & IEEE-EDS Delhi Chapter and Society for Microelectronics and VLSI, NewDelhi, India,30-31st January.
9.    Manish kumar Aggarwal and Vijay Khare, “Automatic localization And Contour Detection Of Optic Disc”, International Conference on Signal Processing and Communication (ICSC),16-18 March 2015 Pages: 406 - 409, DOI: 10.1109/ICSPCom.2015.7150686. 
10.    Manish kumar Aggarwal and Vijay Khare, A New Method for Optic Disc Localization in Retinal Images”, Ninth International Conference on Contemporary Computing (IC3)- IC3 pp1-511th Aug to 13th Aug 2016 DOI: 10.1109/IC3.2016.7880263.
11.    Manish Aggarwal and Vijay Khare, Comparison of different blood vessel detection techniques in low quality retinal images”,IEEE International Conference on Signal Processing and Communication (ICSC),2 Page(s):279 – 284 26-28 Dec 2016. 
12.    Gaurav Verma,, Manish Kumar, and Vijay Khare. Design of power Efficient ALU for different processor Architectures", in proceeding of IEEE International conference on Computing for Sustainable Global Development”, pp 5881-5885,New Delhi march 1-3 2017(Indexed in scopus).
13.     Saxena S., Dwivedi R. K., Khare V., “Study the Effect of Geometrical and Material Variation on the Performance of Bimorph Piezoelectric Energy Harvester”, AIP Conference Proceedings 2009, pp. 020057, Aug. 2018. (Indexed in SCOPUS).
14.    Saxena S., Dwivedi R. K., Khare V., “Simulation Study of Uncoupled Electrical Equivalent Model of Piezoelectric Energy Harvesting Device Interfaced with Different Electrical Circuits”, Advances in Signal Processing and Communication, pp. 591-600, Nov. 2018. (Indexed in SCOPUS).
15.    Saxena, RK Dwivedi, V Khare, “Modeling and simulation of piezoelectric energy harvesting device coupled with self-powered interface circuits,” AIP Conference Proceedings, vol. 2136. no. 1, pp. 040008, 2019. (Indexed in Scopus).
16.    Saxena S., Dwivedi R. K., Khare V., “Cavity Inclusion Effects on the Performance of Piezoelectric Energy Harvester”, 2020 International IEEE Conference on Signal Processing and Communication (ICSC-2020), pp. 194-200, Sept. 2020. (Indexed in SCOPUS).
17.    A. Handa, P. Garg and V. Khare, "Masked Neural Style Transfer using Convolutional Neural Networks," 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE), Bhubaneswar, India, 2018, pp. 2099-2104, doi: 10.1109/ICRIEECE44171.2018.9008937.
18.    Ritika Dubey, Aditi Narang, and Vijay Khare “Parkinson’s Disease Diagnosis by fMRI images using MFCC feature extraction”4th International Conference on Next Generation Computing Technologies 21-22 November UPES Dehradun,NGCT-2018( Communications in Computer and Information Science )book series (CCIS, volume 922, Pages 152-160).
19.    Saxena S., Dwivedi R. K., Khare V., “Analysis and Simulation of Multi-Stepped and Multi-Folded Piezoelectric Energy Harvester”, 2021 International Conference on Signal Processing and Communication (ICSC-2021), pp. 292-295, Jan. 2021. (Indexed in SCOPUS).
20.    Singh N., Verma G., Khare V., “Power Estimation of FIR Filter based on IP Modeling for DSP and Communication Applications”, 2020 Global Conference on Wireless and Optical Technologies (GCWOT) Malaga, Spain, pp. 1-7, 2020.
21.    Saxena S., Dwivedi R. K., Khare V., “Effect of Materials on the Performance of Multi-Resonant Piezoelectric Energy Harvester”, Proc. ICSC ’22, 8th International Conference on Signal Processing and Communication, pp. 591-595, Dec. 2022. (Indexed in SCOPUS).

 

Undergraduate project supervised: 70+

•    EEG based Metal State of student predictor using CNN AND BI-DIRECTIONAL LSTM
•    Emotion Detection using CNN, RNN and GRU
•    Fetal Health classifier using Machine Learning
•    Microcontroller based blow switch
•    Wireless wheelchair control using EEG signal
•    Design a four-channel low frequency amplifier for EEG Signal
•    Classification of heart Disease using learning Vector Quantization Artificial Neural Network
•    Image compression using Direct Solution Method based Neural Network
•    Window based Neural Network Image compression and Restoration
•    Speech Recognition Based on Confidence Value of the Engine
•    Classification of Obstructive Sleep Apnea using Neural Networks

PG Level:

Introduction of Machine learning, Deep learning for Multimedia Soft computing, Hybrid Intelligent system, Neural Networks and  Fuzzy Systems

UG Level:

Soft computing in Electronics, Neural Networks and Fuzzy logic Electrical Science-1, Electronic Devices and Circuits, Analogue Electronics, Digital Electronics, Control system, Digital Control Systems  

1.    Keynote Speaker on Deep learning for biomedical Application. September 13, 2021 for the AICTE sponsored ATAL-FDP titled “Internet of Things With AI & Machine Learning”.  In Department of ECE in ITS ENGINEERING COLLEGE, Greater Noida
2.    Guest Lecturer in ITS Engineering college on Brain Computer Interface. 8 Nov 2017
3.    Guest Lecture in ITS Engineering college on Application of Neural Network in Biomedical. 10 July 2018
4.     Lecture delivers on brain computer interface 7in Faculty Development Program on Communication Engineering: Recent Trends in signal processing from 10th July to 15th July 2017

1.    Organizing team member of National Conference on Scientific Validation and Technical Evaluation of Ancient Medical Systems SVTEAMS ‘05, IIT Delhi, New Delhi, February 10 - 11, 2006.
2.    Organizing team member of International Conference on Signal Processing and Communication, Jaypee Institute of Information Technology,  Noida,December   12 - 13, 2013.
3.    Organizing team member of International Conference on Signal Processing and Communication, Jaypee Institute of Information Technology,  Noida, 26-28 Dec,  2016.
4.    Coordinator of a  seminar on "Neural Network,  Fuzzy Logic and   Genetic Algorithms" in JSSATE Noida 2005.
5.    Attended Faculty Development Program on Communication Engineering: Recent Trends communication from 11th July to 16th July, 2016.
6.    Attended Faculty Development Program on Communication Engineering: Recent Trends in signal processing  from 10th July to 15th July, 2017.
7.    International Conference on Green Computing and Engineering Technologies (ICGCET) 18-20 August 2016 Department of Energy Technology, Aalborg University, Esbjerg, Denmark (TPC member).
8.    Session chair: Ninth International Conference on Contemporary Computing (IC3)- IC3 11th Aug to 13th  Aug 2016.
9.    Faculty Development Program on  Modern RF and Optical Wireless Communication Systems department of ECE, JIIT, Sec-62 Noida, from 9th to 14th July, 2018.
10.    Two days Workshop on “Embedded Systems" at JIIT, Noida July 17 - 18th 2017.
11.    Two daysTraining on “FPGA Design using Zynq" at JIIT, Noida 31st May - 1st June 2018.
12.    4th  International Conference on Next Generation Computing Technology (NGCT 2018) at school of computer science, university of petroleum &Enery studies Dehradun21th -22thh  NOV 2018.
13.    Two Days Workshop on IOT Systems, Tools and Application. JIIT Noida, Dept of CS/IT, JIIT Noida Campus-Sec 62, 15- 16  march 2019.
14.    2019 International Conference on Signal Processing and Communication, JIIT Noida, ECE Dept Campus-Sec 62,7 - 9th  March 2019.
15.    Attended Webinar on ML and DL with MATLAB by Design tech  on Wednesday, June 24, 2020, 11:30 AM.
16.    Attended  Webinar on  image Processing and Computer Vision with MATLAB, 23, April 2020.
17.    Attended  webinar on "Open source for AI&ML Tuesday, July 07, 2020.
18.    Faculty Development Program on   Soft Computing Techniques and Its Application  department of Mathematics, JIIT, Sec-62 Noida, from 13th to 18th July, 2020.
19.    One Week Online Faculty Development Program (FDP) being organized by Department of Electronics and Communication Engineering on "TECHNOLOGY COMPUTER AIDED DESIGN: SIMULATION FOR VLSI DEVICES, CIRCUITS AND SYSTEMS",  from July 20-25 July, 2020. 
20.    Dr. Vijay Khare of Jaypee Institute of Information Technology, Noida, India has been recognized for his outstanding contribution as Organizing Committee Member in 2021 7th International Conference on Signal Processing and Communication (ICSC) held on 25th - 27th November, 2021 at Jaypee Institute of Information Technology, Noida, India.
21.    Mr. Vijay Khare of Jaypee Institute of Information Technology, Noida for participating in the one-week online faculty development program on “Recent Trends of Artificial Intelligence in Electronics Devices and Systems" organized by the Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida from 19th July to 24th July 2021.
22.    Vijay khare 3rd International Conference on Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (MMCITRE - 2022) organized during March 04-06, 2022 conducted by University of Technology Sydney (UTS), Pandit Deendayal Energy University (PDEU), Universidad Autónoma de Baja California (UABC), Universidad Católica de la Santísima Concepción (UCSC), Forum for Interdisciplinary Mathematics (FIM) and Victoria University, Melbourne, Australia. Certificate of Recognition.
23.    Proctor coordinator for the one week FDP program -  Machine Learning Application in Signal Processing and Communication Engineering(Collaboration with NIT Patna) starting from 03rd Jan to 8 Jan, 2022.
24.    Parakh portal VIJAY KHARE ( 1-3768349022 ) ELECTRONICS AND COMMUNICATION ENGINEERING Student Learning Assessment ALL INDIA COUNCIL FOR TECHNICAL EDUCATION, NEW DELHI  Date: 22-07-2022.
25.    Attended UHV 1 Training program _ 22-27-Aug-2022
26.    ONE WEEK ONLINE FACULTY DEVELOPMENT PROGRAM On OUTCOME-BASED RESEARCH: VLSI DEVICES, CIRCUIT ANLYSIS, LATEST DESIGN TOOLS AND APPLICATIONS" organized by the Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida from 21st to 27th July 2022. 
27.    One Week FDP on Advanced research trends in signal and image processing (Hybrid mode) July 28–August 03, 2022. organized by the Department of Electronics and Communication Engineering, Jaypee Institute of Information Technology, Noida.
28.    Participating in the Faculty Development Programme (online) on “INNOVATION IN DRUG DELIVERY TECHNOLOGIES" organized by Department of Biotechnology, Jaypee Institute of Information Noida. 22 July to 30 July 2022.
29.    Vijay Khare of Jaypee Institute of Information Technology, Noida, India has attended 2022 8 th International Conference on Signal Processing and Communication (ICSC) through virtual mode at Jaypee Institute of Information Technology, Noida, India during 01-03 December.
30.    Faculty Development Programme (FDP) titled as "Design and Fabrication of VLSI and Nanomaterial-based Sensors" organized by Vellore Institute of Technology (VIT), Chennai. 4 March to A 07 March, 2023. 
31.    Two days “Workshop on Tools and Hardware for Embedded/IoT/Edge AI" from April 5th to 6th, 2023.

: Editorial  Board Member of Applied Bioengineering Research  
: Transactions on Neural Systems & Rehabilitation Engineering
: Wireless Personal Communications (Springer)
: Journal of Advances in Medicine and Medical Research
: Journal of Engineering in Medicine
: Journal of Advances in Biotechlogy, (JBT)
: British Journal of Applied Science & Technology
: Asian Journal of Mathematics and Computer Research
: International Conference on Signal Processing and Communication (ICSC)  
: International Journal of Robotics and Automation Technology
: International Conference on Signal Processing and Integrated Networks

Ritika Dubey, Aditi Narang, and Vijay Khare "Parkinson’s Disease Diagnosis by fMRI images using MFCC feature extraction” 4th International Conference on Next Generation Computing Technologies 21-22  November  UPES Dehradun, NGCT-2018( Communications in Computer and Information Science). Book series (CCIS, volume 922, Pages 152-160).

Worked in Educational Technology Cell of College and assist in designing course file as demanded by NBA(National Board of Accreditation) & A.I.C.T.E. for its Implementations
Attended a faculty development program for Engg. College faculty by JIIT NOIDA and earned a credit for attending this programme. Teaching skills,understanding of students behaviour, confidence and professionalism in teaching, curriculam implementation skills and avenues for carrier advancement and skills in pedagogical area such as instructional design, instructional method and media, student evaluation were the focused areas
Working member of Student Discipline Committee
Captain of college hockey team SATI VIDISHA 
Member of cultural Committee SATI vidisha
Organized 'Interaction Games' under College Gathering 
Participated inter college cricket tournament
M.Tech. Entrance paper committee members
Mentor Cum Advisor for 3rd year students
DPMC Member for PhD students  Renu Sharma, Ms Mamta bist, and Ms Urvashi Saxena

Four week training in ALL India radio Bhopal during B.E. Course
Four Week training in BHEL during B.E. Course

Platforms: 
- Windows98/2000, LINUX, UNIX, DOS 
Languages:
- Knowledge of  following programming Languages Python, PASCAL, C
- Assembly language programming of 8085 & 8086 Microprocessor       
Packages:
- Jupyter notebook for Deep learning, Weka, MATLAB, MASAM86, Lab view, OrCAD, VHDL

1. Prof. M.Gopal - Director, School of Engineering, SNU, Ph: 0120 – 3819100/830, Email Contact: mgopal@snu.edu.in
2. Dr. Jayashree Santosh - Department of Biomedical Engineering, Faculty of Engineering Building, University of Malaya, 50603 Kuala Lumpur, MALAYSIA, E-mail: jsanthosh@um.edu.my
3. Prof. Sneh Anand (HOD) - Centre for Biomedical Engineering, Indian Institute of Technology Delhi, New Delhi, India-110016, PH-9818642808, Email: sneha@cbme.iitd.ernet.in
5. Prof.Smriti Srivastava - smriti.nsit@gmail.com, +919810730260
6. Dr. Pragya Varshney, Associate Professor, Instrumentations and Control departement, Netaji Subhas Chandra Institute of Technology, New Delhi, pragya@nsit.ac.in, +91-11-25000196(O)