<p style="text-align: justify;"> <strong>DR. RAM PAL SINGH </strong>received the B.Sc. degree in Electronic Science with Basic Sciences and the M.Sc. degree in Electronic Sciences from University of Delhi, Delhi, India in 1990 and 1992, respectively, and the M.Tech degree in Computer Science and Engineering in 1998. He has received the Ph.D. in Computer Science from the School of Computer &amp; Systems Sciences, Jawaharlal Nehru University, New Delhi, India. He joined in 2009 at Institute for Informatics, Freie University, Berlin, Germany for Post Doctorate under Erasmus Mundus-European Commission fellowship-2009. He is currently an Associate Professor in Department of Computer Science, DDUC, University of Delhi, Delhi, India and visiting faculty at School of Computer Science and System Sciences, Jawaharlal Nehru University, New Delhi, India. &nbsp;His current research interests include Machine Learning Techniques like Artificial Neural Networks, Deep Learning Networks, extreme learning machine, pattern recognition, signal processing, information hiding, Digital watermarking, Machine Learning, Image processing, DNA and Protein Sequence Alignment , Soft-Computing, forecasting problems etc. In the above areas, he has over <b>40</b>&nbsp;plus publications in journals, book chapters, and international conference proceedings.</p> <p style="text-align: justify;"> DR. SINGH received the <em><strong>excellent paper award</strong></em> in&nbsp; &nbsp;Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP2014), August 27-29, 2014,<em><strong> Kitakyushu, in Japan.</strong></em></p> <p style="text-align: justify;"> Ph.D. Thesis Titled:<span style="font-weight: bold;"> &nbsp;&ldquo;On the Application of Support Vector Machine and Extreme Learning Machine Methods for Regression and Classification Problems&rdquo;.</span></p> <p style="text-align: justify;"> <span style="color: rgb(96, 96, 96); font-family: AvenirNext; font-size: 14pt; font-weight: 700; caret-color: rgb(0, 0, 0);">Post Doctorate</span></p> <div class="page" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);" title="Page 2"> <div class="section"> <div class="layoutArea"> <div class="column"> <p style="text-align: justify;"> <span style="font-size: 11pt; font-family: AvenirNext; color: rgb(0, 0, 38);">European Commission Fellowship-2009 (Erasmus Mundus). Algorithmic Bioinformatics Group, Institute for Informatics, Friei University, Berlin, Germany, 2009.</span></p> </div> </div> </div> </div> <p style="text-align: justify;"> &nbsp;</p> <p style="text-align: justify;"> <span style="font-style: italic; font-weight: bold;">Research Guidance as Main Supervisor :</span></p> <p> <span style="font-weight: bold;">Ph.D. (Two) doing from Department of Computer Science, University of Delhi, Delhi,INDIA.:-</span></p> <ul style="text-align: justify;"> <li> <span style="font-weight: bold;">Ph.D. (Pursuing):Proposed Titled: &ldquo;Deep Machine Learning Techniques for Pattern Classification and Regression Problems&rdquo;.</span></li> <li> <span style="font-weight: bold;">Ph.D. (Pursuing): Proposed Titled: &ldquo;Medical Image Analysis by Leveraging Deep Learning&rdquo;.</span></li> <li> <span style="font-weight: bold;">Ph.D. Awarded (ONE) :Thesis Titled: &ldquo;Watermarking Using Extreme Learning Machine (ELM)&rdquo;.</span></li> <li> <span style="font-weight: bold;">Ph.D. Awarded (TWO): Thesis Titled: &ldquo; Modeling and Prediction of Building Energy Performance Using Machine Learning Approaches&rdquo;.</span></li> </ul>

• STAFF COUNCIL SECRETRY (2019,2020, 2021....)

1. Teacher-Incharge/Head of Department of Computer Science (2006-08).
2. Convenor  B.Sc (H) CS/PGDCA Admission committee(2006-07,08,09,10,14,15).
3. Member, Admission Committee(2011,12,13,14,15,17,18).
4. Member, Purchase committee of College(2006-07).
5. Convenor , Department Stock Verification Committee(2006-07).
6. Member, Sport Committee of College(2006-07).
7. Member, Adventurous  Club of College(2006-07,2016)
8. Teacher-Incharge/Head of Department of Computer Science (2013-15).
9.  Member : Academic Development Committee(2006-08) .
10.  Member : Academic Development Committee(2013-15) .
11.  Member : Library Development Committee(2006-08)
12.  Convener , B.Sc (APS) /PGDCA Admission committee(2010-11).
13. Convener, OBC Help Desk(2010-11,12)
14.  Member, Library Development Committee(2013-15).
15.  Convenor, Sports Committee(2007-2009).
16. Student Union Advisor (2013-14).
17.  Member, Proctorial Board(2010-2012, 2014, 2015,2016).
18. Convenor, Academic Supervisor Committee(2015).
19. Secretary, Staff Council (2019-20,2021).
20. Member, IQAC(2019-20, 2021).

1. Machine Learning Techniques like Artificial Neural Networks, Deep Learning Networks, Support Vector Machine Extreme Learning Machine, RNN, CNN, Encoder-Decoder, Transformer with Attention Mechanism in Classification,  Regression (Forecasting Problems,  Financial Time Series Forecasting, Univariate and Multi-Variate Time Series (MTS) forecasting, Traffic Forecasting, Electricity and Energy demands forecasting on mulit-time horizons(small, medium and large), Incidence Solar Radiation forecasting etc.), Pattern Recognition problems.
2. Information Security, Digital watermarking, Machine Learning, Image processing.
3. DNA and Protein Sequence Alignment, Soft-Computing, forecasting problems etc.
4. Information Security, Watermarking.
5. Energy computation and management.

List the courses  have taught at graduate / post-graduate levels: Teaching UG/PG Computer Science courses for last 23+ Years in Delhi University especially following courses:

1. Computer System Architecture
2. Digital System Design
3. Computer Networks and Data Communication
4. Microprocessors 8086/186/286/386/486/Pentium & their Families.
5. Computer Graphics
6. Operating System
7. Digital Image Processing
8. Machine Learning
9. Pattern Recognition 

Visiting Faculty: I had taught different PG courses as visiting faculty viz:

1. Taught “Network Architecture” in M.Sc./Master of Information Technology in University of Delhi South Campus during July, 2003- Dec, 2003.
2. Taught "Network Development and Applications" in M.Sc./Master of Information Technology in University of Delhi South Campus during  January,2003- April, 2004.
3. Taught "Digital System and Design"  Master of Computer Application course at School of Computer and System Sciences in Jawaharlal Nehru  University  complete one semester from July,2003 to Dec.,2003.
4. Taught "Modern Communication System” in M.Sc. (Electronic Science) in University of Delhi South Campus during Fourth semester in year 2004-05.
5. Taught "Digital System and Design"  to Master of Computer Application course at School of Computer and System Sciences in Jawaharlal Nehru  University  complete one semester from July,2006 to Dec.2006.
6. Taught "Digital System and Design"  to Master of Computer Application course at School of Computer and System Sciences in Jawaharlal Nehru  University  in a  semester from July,2007 to Dec.2007.
7. Taught "Digital System and Design"  to Master of Computer Application course at School of Computer and System Sciences in Jawaharlal Nehru  University  in a  semester from July,2008 to Dec.2008.
8. Taught “Distributing Operating System" to M.Tech (Computer Science) at School of Computer and System Sciences in Jawaharlal Nehru  University  in a  semester from January,2009 to May 2009.
9. Taught "Data Communication and Computer Networks"  Master of Computer Application course at Department  of Computer Science in Delhi   University  complete one semester from Jan.2009 to May,2009.
10. Taught "Systems " as a course to PhD student at Department  of Computer Science in Delhi   University  complete one semester from Jan.2011 to May,2011.
11. Taught "Systems " as a course to PhD student at Department  of Computer Science in Delhi   University  complete one semester during August 2012 to December 2012.
12. Taught "Microprocessor System Design"  to Master of Computer Application course at School of Computer and System Sciences in Jawaharlal Nehru  University  in a  semester from July,20013 to Dec.20013.
13. Taught "Research Methodology " as a course to PhD student at Department  of Computer Science in Delhi   University, 2017.
14. Taught "Research Methodology " as a course to PhD student at Department  of Computer Science in Delhi   University, 2018.
15. Taught "Research Methodology " as a course to PhD student at Department  of Computer Science in Delhi   University, 2022.

1.Currently Supervising  THREE PhD students in Computer Science at Department of Computer Science, University of Delhi, Delhi. 

2. Awarded PhD under my supervision: TWO

2. Two M.Phil

3. One M.Tech

Journal Publications:

2007

1. Ram Pal Singh and S. Balasundaram, “Application of Extreme Learning Machine Method for Time Series Analysis”, International Journal of Intelligent Technology, vol.2, no.4, pp.256-262, 2007.(ISNI:0000000091950263).

2010

1. S. Balasundaram and Ram Pal Singh, “On Finite Newton Method for Support Vector Regression”, Journal of Neural Computing and Applications,19, pp.967-977, 2010.(DOI: 10.1007/s00521-010-0361-0).(Impact Factor: 5.606).

2012

1. Vikas Chaudhary, Anurag Mishra, Rajesh Mehta, Ram Pal Singh and Navin Rajpal, “Watermarking of Grayscale Images in DCT Domain using Least-Squares Support Vector Regression”, International Journal of Machine Learning and Computing,Vol.2,no.6,pp.725-728,2012.(DOI: 10.7763/IJMLC.2012.V2.223).

2016

1. Ram Pal Singh, Neelam Dabas, Vikash Chaudhary and  Nagendra, “Online Sequential Extreme Learning Machine for Watermarking in DWT domain”, Neurocomputing, no.174, pp.238-249,   2016.(https://doi.org/10.1016/j.neucom.2015.03.115).(Impact Factor: 5.719).

2017

1. Neelam Dabas, Ram Pal Singh, Geetanjali Kher, Vikas Chaudhary, “A Novel Blind Digital Watermarking Scheme Based on SVD and Online Sequential Extreme Learning Machine Based  Watermark Method Copyright Protection”, International Journal of Advanced Research in Computer Science,  Vol.8, no. 3,pp.1180-1188, 2017.(ISSN:0976-5697).

2. Neelam Dabas, Ram Pal Singh, Geetanjali Kher and Vikas Chaudhary, “A Novel Blind Digital Watermarking Scheme Based on SVD and  Extreme Learning Machine ”, Oriental  Journal of  Computer Science  and Technology, Vol.10, no. 1 ,pp.160-167, 2017.( http://dx.doi.org/10.13005/ojcst/10.01.21).

3. Archana Thakran, Ram Pal Singh and Akshay Bhasin, “Analysis and Prediction of Nonstationary Financial Time Series using OSELM”, International Journal of Recent Research Aspects,Vol. 4, no.2, pp.139-148,  2017.(ISSN:2349-7688).

2018

1. Sachin Kumar, Saibal K. Pal, Ram Pal Singh, “A Novel Method Based on Extreme Learning Machine to Predict Heating and Cooling load through Design and Structural  Attributes”,  International Journal of Energy and Buildings, 176, pp.275-286,2018.(https://doi.org/10.1016/j.enbuild.2018.06.056).(Impact Factor: 6.33).

2. K Sachin, P Saibal K, Ram Pal Singh, “Intra ELM variants ensemble based model to predict energy performance in residential buildings”,Journal of Sustainable Energy, Grids and Networks, Vol.16, pp.177-187, 2018.(https://doi.org/10.1016/j.segan.2018.07.001). (Impact Factor: 4.80).

2019

1. Neelam Dabas, Ram Pal Singh,”ELM-Kernel and Reduced Kernel ELM based watermarking scheme”, Journal of Information Security and Applications, Vol.46, pp.173-192,2019.(https://doi.org/10.1016/j.jisa.2019.03.005). (Impact Factor: 3.872).

2. Sachin Kumar, Saibal K. Pal, Ram Pal Singh, “A novel hybrid model based on particle swarm optimisation and extreme learning machine for short-term temperature prediction using ambient sensors”, Journal: Sustainable Cities and Society,Vol. 49, pp.1-12,2019.(https://doi.org/10.1016/j.scs.2019.101601).(Impact Factor: 7.587).

Preeti, Rajni Bala, Ankita Dagar and Ram Pal Singh. “A novel online sequential extreme learning machine with L2,1-norm regularisation for prediction problems.”, Applied Intelligence, pp. 1-21, Springer, 2020 (Impact factor: 5.086).

2021

1. Preeti, Rajni Bala,  and Ram Pal Singh. “Prediction of Incident Solar Radiation using a Hybrid Kernel based Extreme Learning Machine.”, International Journal of Applied Intelligence Tools,  (Communicated).

2. Preeti, Rajni Bala,  and Ram Pal Singh. “  A dual-stage advanced deep learning algorithm for long-term and long-sequence prediction for multivariate financial time serie”, Journal of Applied Soft Computing  (Communicated).

International Conference Publications:

------------------------------------------------------------------------------------------

2006

1. Ram Pal Singh, “First order Accumulated Generating Operation with Support Vector Machine for Chaotic Time Series Analysis”, In 3^rd International Conference on Quality Reliability and Infocom Technology (ICQRIT2006), pp.122-130, December 02-04, 2006.

2007

1. Ram Pal Singh,“Nonlinear Prediction of Time Series with Newton Support Vector Regression”, In  International Conference on Intelligent Systems & Networks(IISN), pp. 130-135, February 23-25,2007.
2. Anurag Mishra, Ram Pal Singh and S.Balasundaram. “Blind Detection of Statistical Watermark using Extreme Learning Machine”, International Conference on Information Society 2007, pp.372-377, October 7–11, 2007, Merrillville, Indiana, USA.
3. Ram Pal Singh and S. Balasundaram, Application of Extreme Learning Machine Method for Multi-class Classification Problems”, in 40th Annual Convention of Operation Research Society of India, Delhi, Dec.04-06, 2007.

2008

1. Ram Pal Singh and S. Balasundaram, “Active Set Fuzzy Support Vector -Insensitive Regression Approach", in International Conference on Advanced Computer Theory and Engineering (ICACTE2008), pp. 879-883, Dec.20-22, 2008, Phuket, Thailand.
2. Ram Pal Singh and S.Balasundaram. “On the Application of Extreme Learning Machine for Time Series Prediction, in International Conference on Data Management (ICDM 2008), pp. 317-324,  February 25-26, 2008.

2010

1. Rajesh Mehta, Anurag Mishra, Ram Pal Singh and Navin Rajpal, “HVS Based Digital Watermarking Algorithm Implemented Using Back-Propagation Neural Networks, in International Conference on Data Management (ICDM 2010), March 11-12, 2010.
2. Rajesh Mehta, Anurag Mishra, Ram Pal Singh and Navin Rajpal, “Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression”, in  The Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP2010), October 15-17, 2010, Darmstadt, Germany.

2011

1. Vikas Chaudhary, Anurag Mishra, Rajesh Mehta, Ram Pal Singh, and Navin Rajpal, “ Watermarking of Grayscale Images in DCT Domain using Least-Squares Support Vector Regression”, in  The 3^rd  International Conference on Machine Learning and Computing (ICMLC-2011), pp.292-295, Feb.26-28, 2011, Singapore.

2012

1. Anurag Mishra, Amita Goel, Ram Pal Singh,Lavneet Singh and Girija Chetty, “A Novel  Image Watermarking  Using Extreme Learning Machine”, in  2012 IEEE World Congress on Computational Intelligence, (WWCI-2012), June 10-15, 2012, Brisbane Australia.

2013

1. Ram Pal Singh and Vikas Chaudhary, “Optimization based Extreme Learning Machine for Watermarking of a Image in DWT Domain” in  International Conference on Image Processing, Analysis and Computer Vision (ICIPAC-2013),Dec.26-27,2013,Phuket, Thailand.

2014

1. Ram Pal Singh, Neelam Dabas, Vikas Chaudhary and  Anurag Mishra,  “On Extreme Learning Machine for Watermarking of an Images in Discrete Wavelet Transform Domain”, in  The Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP2014), pp.163-166,August 27-29, 2014, Kitakyushu, Japan.
2. Ram Pal Singh, Neelam Dabas, Vikas Chaudhary and Nagendra, “Online Sequential Extreme Learning Machine for Watermarking”, In International Conference on Extreme Learning Machine (ELM2014), pp.115-124, Singapore.

2015

1. Ram Pal Singh, Neelam Dabas, Vikash Chaudhary and Nagendra, “Weighted  Extreme Learning Machine for Digital Watermarking in DWT Domain”, in Eleventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP2015), September 23-26, 2015, Adelaide, Australia.

2016

1. Sachin Kumar, Saibal K. Pal and Ram Pal Singh, "Intelligent Energy Conservation: Indoor Temperature Forecasting with Extreme Learning Machine", in Second International Symposium on Intelligent Systems Technologies and Applications (ISTA2016), 2016.
2. Sachin Kumar, Shobha Rai, Saibal K. Pal and Ram Pal Singh, “ELM Variants Comparison on Applications of Time Series Data Forecasting”, in Fourth International Symposium on Women in Computing and Informatics(WCI-2016),pp.1409-1414,2016.
3. Sachin Kumar, Shobha Rai, Saibal K. Pal and Ram Pal Singh, “ Smart Home: Accurate Prediction of EnergyConsumption with Extreme Learning Machine Variants”, in 7th International Conference on Extreme Learning Machines (ELM2016), Singapore, 13-15 December 2016. 
4. Archana Thakran, Ram Pal Singh Akshay Bhasin, “Analysis and Prediction of Nonstationary Financial Time Series using OSELM”, in 3^rd International Conference On Recent Developments In Science, Engineering & Technology (REDSET-2016).

2017

1. Archana Thakran and Ram Pal Singh, “A Novel Technique for Regression Analysis of Nonstationary Time Series using ELM and OSELM”, In IEEE   International Conference on Advances  in  Computing, Communications and Informatics(ICACCI17), for Sustainable Global Development”, 13-16 September,2017.
2. Kumar Sachin, Rai Shobha, Pal Saibal K, Singh Ram Pal,“Machine Learning-Based Method and its Performance Analysis for Occupancy Detection in Indoor Environment Home”, In Advances in Intelligent Systems and Computing, pp.240-251, 2017. 
3. Neelam Dabas, Ram Pal Singh,  Vikas Chaudhary and Geetanjali Kher, “A Novel SVD Online Sequential Extreme Learning Machine Based  Watermark Method Copyright Protection”, In  8 th International Conference on Computing, Communication and Networking Technologies (ICCCNT2017), 2017.
4. Sachin Kumar, Shobha Rai, Saibal K. Pal and Ram Pal Singh, “ Machine Learning-Based Method and its Performance Analysis for Occupancy   Detection in Indoor Environment Home”, in 3rd International Symposium on Signal Processing and  Intelligent Recognition Systems, Advances in Intelligent Systems and Computing, 2017, Springer. 

2018

1. Preeti, Rajni Bala and  Ram Pal Singh, “A Prediction Survival Model based on Support Vector Machine and Extreme Learning Machine for Colorectal Cancer”, Future  of Information and Communication Conference (FICC) 2018, pp.672-677, April 2018, Singapore.
2. Preeti, Rajni Bala, Ankita Dagar and Ram Pal Singh, “Financial Time Series forecasting using Deep Learning Networks”, In the International Conference on Applications of Computing and Communication Technologies (ICACCT2018), pp. 23-33, Springer, March 2018.

2019

1. Preeti, Rajni Bala and Ram Pal Singh, “Financial and Non-Stationary Time Series Forecasting using LSTM Recurrent Neural Network for Short and Long Horizons”, in the IEEE 10^th International Conference on Computing, Communication and Networking Technologies (ICCCNT2019), pp.xx-xx,2019 .

    

1. One Chapter on Information and Communication Technology (ICT) in UGC NET book and published by TMH publisher. 

Presentations:

1. Rajesh Mehta, Anurag Mishra, Ram Pal Singh and Navin Rajpal, “Digital Image Watermarking in DCT Domain Using Finite Newton Support Vector Regression”, in  The Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP2010), October 15-17, 2010, Darmstadt, Germany.
2. Vikas Chaudhary, Anurag Mishra, Rajesh Mehta, Ram Pal Singh, and Navin Rajpal, “ Watermarking of Grayscale Images in DCT Domain using Least-Squares Support Vector Regression”, in  The 3^rd  International Conference on Machine Learning and Computing (ICMLC-2011), pp.292-295, Feb.26-28, 2011, Singapore.
3. Anurag Mishra, Amita Goel, Ram Pal Singh,Lavneet Singh and Girija Chetty, “A Novel  Image Watermarking  Using Extreme Learning Machine”, in  2012 IEEE World Congress on Computational Intelligence, (WWCI-2012), June 10-15, 2012, Brisbane Australia.
4. Ram Pal Singh and Vikas Chaudhary, “Optimization based Extreme Learning Machine for Watermarking of a Image in DWT Domain” in  International Conference on Image Processing, Analysis and Computer Vision (ICIPAC-2013),Dec.26-27,2013,Phuket, Thailand.
5. Ram Pal Singh, Neelam Dabas, Vikas Chaudhary and  Anurag Mishra,  “On Extreme Learning Machine for Watermarking of an Images in Discrete Wavelet Transform Domain”, in  The Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP2014), pp.163-166,August 27-29, 2014, Kitakyushu, Japan.
6. Ram Pal Singh, Neelam Dabas, Vikas Chaudhary and Nagendra, “Online Sequential Extreme Learning Machine for Watermarking”, In International Conference on Extreme Learning Machine (ELM2014), pp.115-124, Singapore.
7. Ram Pal Singh, Neelam Dabas, Vikash Chaudhary and Nagendra, “Weighted  Extreme Learning Machine for Digital Watermarking in DWT Domain”, in Eleventh International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP2015), September 23-26, 2015, Adelaide, Australia.
8. Sachin Kumar, Saibal K. Pal and Ram Pal Singh, "Intelligent Energy Conservation: Indoor Temperature Forecasting with Extreme Learning Machine", in Second International Symposium on Intelligent Systems Technologies and Applications (ISTA2016), 2016.
9. Sachin Kumar, Shobha Rai, Saibal K. Pal and Ram Pal Singh, “ELM Variants Comparison on Applications of Time Series Data Forecasting”, in Fourth International Symposium on Women in Computing and Informatics(WCI-2016),2016.
10. Sachin Kumar, Shobha Rai, Saibal K. Pal and Ram Pal Singh, “ Smart Home: Accurate Prediction of Energy Consumption with Extreme Learning Machine Variants”, in 7th International Conference on Extreme Learning Machines (ELM2016), Singapore, 13-15 December 2016.
11. Archana Thakran, Ram Pal Singh and Akshay Bhasin, “Analysis and Prediction of Nonstationary Financial Time Series using OSELM”, in 3^rd International Conference On Recent Developments In Science, Engineering & Technology (REDSET-2016).
12. Ram Pal Singh, Neelam Dabas, Vikas Chaudhary and Geetanjali Kher, “A Novel SVD Online Sequential Extreme Learning Machine Based  Watermark Method Copyright Protection”, In  8th International Conference on Computing, Communication and Networking Technologies (ICCCNT2017), 2017.
13. Sachin Kumar, Shobha Rai, Saibal K. Pal and Ram Pal Singh, “Machine Learning-Based Method and its Performance Analysis for Occupancy   Detection in Indoor Environment Home”, in 3rd International Symposium on Signal Processing and  Intelligent Recognition Systems, Advances in Intelligent Systems and Computing, 2017, Springer.
14. Preeti, Rajni Bala and  Ram Pal Singh, “A Prediction Survival Model based on Support Vector Machine and Extreme Learning Machine for Colorectal Cancer”, Future  of Information and Communication Conference (FICC) 2018, pp.672-677, April 2018, Singapore.
15. Preeti, Rajni Bala, Ankita Dagar and Ram Pal Singh, “Financial Time Series forecasting using Deep Learning Networks”, In the International Conference on Applications of Computing and Communication Technologies (ICACCT2018), pp. xx-xx, Springer, March 2018.

Research supervisor to students of  Ph.D. program in Machine Learning Techniques for Information hiding and Time series analysis especially forecasting problems in Department of Computer Science, University of Delhi since 2012, India.

1. PostDoctrate Fellowship: European Commission Fellowship-2009(Erasmus Mundus).
2. Scholarship:  GATE-IIT DELHI.
3. Excellent Paper Award: received the excellent paper award in   IEEE Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP2014), August 27-29, 2014, Kitakyushu, in Japan.
4. Received travel grant from UGC, Government of India to attend international conference at Phuket, Thailand in December 2007.
5. Received travel grant from UGC, Government of India to attend international conference at Darmstadt, Germany in October 2010.
6. Received travel grant from UGC, Government of India to attend international conference at Phuket, Thailand in December 2013.

1.  International Association of Computer Science and Information Technology (IACSIT) (Member No.-80331176).
2. Member IEEE.      
3. Faculty member, ACM Chapter 

Invited Talks/ Lectures

1. Basic Theory and Implementation of Machine Learning Techniques in  different domains :  Talk delivered in "TEQIP Phase III  of World Bank TEQIP  sponsored FDP on  "Emerging Trends on Machine Learning Technologies", Organized by Department of Computer Science, G.J. University Science and Technology, Hissar, Harayana, INDIA, on 21, January, 2020.

2. Theory and implementation of Machine Learning Approaches: Talk delivered in " UGC-HDRC   sponsored refresher course on  " E-content Development and ICT tools in Research (ID)", Organized by UGC-Human Resource Development Center of B.P.S. Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat , Harayana, INDIA, on December, 01, 2020.

3. Essentials of Deep Learning and Convolution Neural Network (CNN): Talk delivered in " UGC-HDRC   sponsored refresher course on  " E-content Development and ICT tools in Research (ID)", Organized by UGC-Human Resource Development Center of B.P.S. Mahila Vishwavidyalaya, Khanpur Kalan, Sonipat , Harayana, INDIA, on December, 02, 2020.

4. The Machine Learning Techniques and their applications in different domains: Talk delivered in one-week  National Workshop on  “Fuzzy Logic, Optimization and Soft Computing in Context of Artificial Intelligence”  at Department of Mathematics, Chaudhary Charan Singh University, Meerut- India  on 18^th February, 2022.

5. Role of AI and Machine Learning Techniques in COVID19 Analysis (Education & Research): Key Note Speaker  in  A Multi-Disciplinary National Seminar on   “ICT in Education Sector: Implications and Challenges ” Sponsored by Department of Higher Education, Harayana, at Department of Computer Science, Government College, Narnaul, Haryana, INDIA,   on 23rd  February, 2022.

Reviewer of International Journal:

1. Reviewer of IEEE Transaction on Fuzzy System.
2. Reviewer of Journal  of  Neurocomputing, Elsevier.
3. Reviewer of International Journal of Physical Sciences.
4. Reviewer of  Journal of Experimental and Theoretical Artificial Intelligence.
5. Reviewer of  Journal of Neural Computing and Apllications.

Certificate Course on French Language in 1997 during M.Tech(Computer Science and Engg.)

Training Program / Workshops Attended:

1. Participated in a workshop on “e-Learning and Content Design” at ILLL, Delhi University , during 26-27^th October 2007.
2. Participated in a workshop for “Capacity Building of Delhi University Faculty” at ILLL, Delhi University, from Feb.3 to Feb.26, 2010.

Orientation Program / Refresher Course Attended:

1. 48^th Orientation Course at the UGC-ASC, Jawaharlal Nehru University, New Delhi, from July 19 to August 13, 2004.
2. Refresher Course in Computer Science   held at CPDHE, University of Delhi,  from September 22 to October 14, 2005.
3. Refresher Course in Computer application held at CPDHE-ILLL, University of Delhi,  from September 20 to October 11, 2007.
4. Refresher Course in Computer Science held at the UGC-ASC, Jawaharlal Nehru University, New Delhi, from  November 10, to December 05, 2008.

2006

Co-convenor of  1^st National Conference sponsored by UGC, Govt. of India, on Mathematical Techniques: Emerging Paradigms for Electronics and IT Industries (MATEIT-2006), DDUC, Delhi, India.

2008

Co-convenor of 2^nd National Conference sponsored by UGC, Govt. of India, on Mathematical Techniques: Emerging Paradigms for Electronics and IT Industries (MATEIT-2008), DDUC, Delhi, India.

2010

Co-convenor of 3rd National Conference sponsored by UGC, Govt. of India, on Mathematical Techniques: Emerging Paradigms for Electronics and IT Industries (MATEIT-2010), Delhi, India.

SPORTS ACTVITIES:

Eight students of B.Tech(Computer Science) have completed  their final year project on  Machine Learning techniques for time series forecasting and information hiding problems.