Dr. Surya Kant Pal

About

Dr. Surya Kant Pal is working as Assistant Professor in the Department of Mathematics, SSBSR, Sharda University.  Dr. Pal Holds M. Phil. & Ph.D. in Statistics from Vikram University Ujjain. He has worked with institution like SMV Collage, BFIT-Groups of Institution, University of Petroleum and Energy Studies and Chandigarh University. He is an expert of Statistics, Regression Analysis, Predictive Analytics, Multivariate Data Analysis, Artificial Intelligence,  Machine learning, Deep Learning,  Data Mining, and Data Science & Analytics.

On the research front, His research focused on Statistics & Analytics. He has an expertise in MS Office, SPSS 20.0, R, and Python Software. His research area includes Statistical Techniques, Sampling Theory, and Multivariate Analysis, AI, ML & DL and Data mining. He has published 5+ patents, 80+ research papers in Journals of National & International repute along with 10+ book chapters. He is not only known in India but famous in abroad too, serving as editor & reviewers of more than 30 reputed International /National Journals.

Experience

• 8  Years (Teaching)
• 12  Years (Research)
• 2.0 Years (Research Coordinator)
• 2.0 Years (Programme Coordinator )

Qualification

• Ph.D. in Statistics
• M. Phil. in Statistics
• M. Sc. in Mathematics and Statistics

Award & Recognition

• On the occasion of the International Conference on Contemporary Challenges in Management, Education, Technology & Applied Sciences (I3CMETAS 22), held on April 09-10, 2022 at Mangalmay Institute of Management & Technology, Greater Noida, India and “SEMS Welfare Foundation” has awarded prestigious “Best Young Scientist Award - 2021”.
• On the occasion of the “World Patent Conclave” held on August 26-27, 2022, at Apeejay School of Management, New Delhi, awarded the “Best Indian Researcher Award-2022”
• On the occasion of the Teachers Day-2021 Celebration on September 7, 2021, at Chandigarh University, Mohali, Punjab, awarded the “Best Researcher of the Department” honor by Chandigarh University

Research

PUBLISHED PATENTS

• A patent published on “A System for IoT Based Biogas Leakage Detecting Device”. Application Number: 202221070423, Publication Date: December 16, 2022.
• A patent published on “Image Registration and Recognition of Brain Image Captured Using Multiple Modalities for Early Detection”. Application Number-202241030853, Publication Date: June 03, 2022.
• A patent published on “A System & Method for Rail Transportation Property Management Using AI & ML”. Application Number: 2022110254, Publication Date: May 06, 2022.
• A patent published on “Smart Voting System using Blockchain Technology”. Application Number: 202111059116, Publication Date: December 31, 2021.
• A patent published on “A Management System and Method for Multimedia Commerce System”. Application Number: 2021110492535, Publication Date: November 26, 2021.

PUBLISHED RESEARCH PAPERS IN REPUTED JOURNALS 

PAPERS IN THE CORE AREA

• Pal, S.K.,  Mahmud, S.A.,  Gupta, M.M., Singh, H.P., Solanki, R.S.(2023): Estimation of finite population mean in sample surveys: A new estimator. Journal of Information & Optimization Sciences,  44 (1), 157-169. WoS (ESCI), Q3,  ABDC-Category B, ISSN No: 2169-0103, Impact Factor: 1.400.
• Sharma, P., Pal, S.K. and Singh, H.P. (2022): Improved estimators of population mean under nonresponse in successive sampling. Mathematical Problems in Engineering, 2022, 1-8. Scopus, WoS (SCIE), Q2, ISSN No:  1563-5147, Impact Factor: 1.430.
• Pal, S.K. and Singh, H.P. (2022): An efficient new approach for estimating the general parameter using the auxiliary variable in sample surveys. Afrika Matematika, 33(3), 1-26. Scopus, WoS (SCIE), Q2, ISSN No:1012-9405, Impact Factor: 0.297.
• Singh, H.P., Yadav, A., and Pal, S.K. (2021): An exponential approach for estimating population mean using two auxiliary variables in stratified random sampling. Investigación Operacional, 42(4), 456-468, Scopus, WoS (SCIE), Q3, ISSN No: 0257-4306, Impact Factor: 0.650.
• Pal, S.K. and Pal, A.K. (2021): The impact of the increase in COVID-19 cases with the exceptional situation to SDG: Good health and well-being. Journal of Statistics and Management Systems, 24(1), 209-228. Taylor & Francis, WoS (ESCI), Q3,  ABDC-Category C, ISSN No: 0972-0510, Impact Factor: 1.400.
• Pal, S.K. and Singh, H.P. (2021): Investigation of competent estimation procedure for estimating the finite population mean at current occasion addressing non-response in two-occasion successive sampling. Journal of Statistics Theory and Practice, 15(1), 1-31. Springer, Scopus, WoS (ESCI), Q3, ISSN No: 1559-8608, Impact Factor: 0.351.
• Pal, S.K. and Singh, H.P. (2021): Ratio-type exponential estimator for the population mean at the current occasion in the presence of non-response in successive sampling. Sankhya: The Indian Journal of Statistics, 83-B (2), 371-394. Springer, Scopus, WoS (ESCI), Q3, ISSN No: 0976-8394, Impact Factor: 0.892.
• Pal, S.K., Singh, H.P. and Solanki, R.S. (2020): A new efficient class of estimators of finite population mean in sample random sampling. Afrika Matematika, 31(3-4), 595-607. Springer, Scopus, WoS (ESCI), Q2, ISSN No: 1012-9405, Impact Factor: 0.297.
• Mehta, V., Singh, H.P. and Pal, S.K. (2020): A general procedure for estimating finite population mean using ranked set sampling. Investigación Operacional, 41(1), 80-92. Scopus, WoS (SCIE), Q3, ISSN No: 0257-4306, Impact Factor: 0.650.
• Pal, S.K., Kumar, V., Singh, H.P. and Bagwala, F. (2019):  A study based on chain ratio-type and chain ratio-ratio-type exponential estimator for estimating the population mean in systematic sampling. International Journal of Agricultural and Statistical Sciences, 15(2), 633-642. Scopus, WoS (ESCI), Q3, ISSN No: 0973-1903, Impact Factor: 0.219. NAAS Rating: 4.92.
• Pal, S.K., Singh, H.P. and Mehta, V. (2019): Use of linear and power transformations for estimating the population mean in two-occasion successive sampling. Investigación Operacional, 40(5), 687-698. Scopus, WoS (SCIE), Q3, ISSN No: 0257-4306, Impact Factor:  0.650.
• Singh, H.P., Yadav, A. and Pal, S.K. (2018):  An efficient use of two auxiliary variables in stratified random sampling. International Journal of Agricultural and Statistical Sciences, 14(2), 739-747. Scopus, WoS (ESCI), Q4, ISSN No: 0973-1903, Impact Factor: 0.219. NAAS Rating: 4.92.
• Pal, S.K. and Singh, H.P. (2018): Estimation of mean with the two-parameter ratio-product-ratio estimator in double sampling using ancillary information under non-response. Journal of Modern Applied Statistical Methods, 17(2), 1-32. Scopus, WoS (ESCI), Q4, ISSN No: 1538-9472, Impact Factor:  0.170.
• Sharma, P. and Pal, S.K. (2018): Estimation of population mean in presence of random non-response. Journal of Statistics and Management Systems, 21(6), 1105-1119. Taylor & Francis, WoS (ESCI), Q3,  ABDC-Category C, ISSN No: 0972-0510, Impact Factor: 1.400.
• Singh, H.P., and Pal, S.K. (2018): An efficient new class of estimators of population variance using the information on auxiliary attribute in sample surveys. Hacettepe Journal of Mathematics and Statistics, 47(1), 267-277. Scopus, WoS (SCIE), Q3, ISSN No: 1303-5010, Impact Factor: 0.369.
• Singh, H.P., Mishra, A.C. and Pal, S.K. (2018): Improved estimator of population total in PPS sampling. Communication in Statistics-Theory and Methods, 47(4), 912-934. Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Pal, S.K., Singh, H.P., Kumar, S. and Chatterjee, K. (2018): A family of efficient estimators of the finite population mean in simple random sampling. Journal of Statistical Computation and Simulation, 88(5), 920-934. Taylor & Francis, Scopus, WoS (SCIE), Q2, ISSN No: 0094-9655, Impact Factor: 1.225, NAAS Rating: 7.42.
• Singh, H.P., Pal, S.K. and Yadav, A. (2018): A study on the chain ratio-ratio-type exponential estimator for finite population variance. Communication in Statistics-Theory and Methods, 47(6), 1447-1458.Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Pal, S.K. and Singh, H.P. (2018): Estimation of finite population mean using auxiliary information in presence of non-response. Communication in Statistics-Simulation and Computation, 47(1), 143-165.  Taylor & Francis, Scopus, WoS(SCIE), Q2, ISSN No: 0361-0918, Impact Factor: 1.162, NAAS Rating: 7.12.
• Pal, S.K. and Singh, H.P. (2017):  A generalized efficient ratio-cum-product estimator in systemic sampling. International Journal of Agricultural and Statistical Sciences, 13(2), 713-720. Scopus, WoS (ESCI), Q4, ISSN No: 0973-1903, Impact Factor: 0.219. NAAS Rating: 4.92.
• Pal, S.K. and Singh, H.P. (2017): Use of power transformation for estimating the population mean in presence of non-response in successive sampling. Journal of Applied Mathematics, Statistics and Informatics, 13(2), 109-140.  De-Gruyter, WoS (ESCI), Q4, ISSN No: 1339-0015, Impact Factor: 0.300.
• Pal, S.K. and Singh, H.P.  (2017): Efficient utilization of auxiliary information on estimation of population mean using exponential type estimators in successive sampling. Journal of Statistical Theory and Applications, 16(4), 476-489. WoS (ESCI), Q4, ISSN No: 1538-7887, Impact Factor: 0.226.
• Pal, S.K. and Singh, H.P. (2017): Estimation of finite population mean using auxiliary information in systematic sampling. International Journal of System Assurance Engineering and Management, 8(2), 1392-1398. Springer, Scopus, WoS (ESCI), Q2, ISSN No: 0975-6809, Impact Factor:  1.800.
• Singh, H.P., and Pal, S.K. (2017): A review of chain type estimators and a new chain type multivariate regression approach for population under two occasion successive sampling. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 87, 31-56. Springer, Scopus, WoS (SCIE), Q3, ISSN No:0369-8203, Impact Factor: 1.544, NAAS Rating: 6.75.
• Pal, S.K., and Singh, H.P. (2017): A class of ratio cum ratio type exponential estimators for population mean with sub-sampling the non-respondents. Jordan Journal of Mathematics and Statistics, 10(1), 73-94. WoS (ESCI),Q4,  ISSN No:2075-7905, Impact Factor: 0.360.
• Singh, H.P., Pal, S.K. and Solanki, R.S. (2017): A new class of estimators of finite population mean in sample surveys. Communication in Statistics-Theory and Methods, 46(6), 2630-2637. Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Singh, H.P., and Pal, S.K. (2017): A class of exponential type ratio estimators of general parameters. Communication in Statistics-Theory and Methods, 46(8), 3957-3984. Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Singh, H.P., and Pal, S.K. (2017): Search of good rotation pattern using exponential method of estimation in two occasion successive sampling. Communication in Statistics-Theory and Methods, 46(11), 5466-5486. Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Singh, H.P., and Pal, S.K. (2017): Estimation of population variance using known coefficient of variation of an auxiliary variable in sample surveys. Journal of Statistics and Management Systems, 20(1), 91-111. Taylor & Francis, WoS (ESCI), Q3,  ABDC-Category C, ISSN No: 0972-0510, Impact Factor: 1.400.
• Singh, H.P., and Pal, S.K. (2017): Improvement over variance estimation using auxiliary information in sample surveys. Communication in Statistics-Theory and Methods, 46(15), 7732-7750. Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Singh, H.P., and Pal, S.K. (2017): Estimation of population mean in two occasion successive sampling. Communication in Statistics-Simulation and Computation, 46(6), 4908-4973. Taylor & Francis, Scopus, WoS (SCIE), Q2, ISSN No: 0361-0918, Impact Factor: 1.162, NAAS Rating: 7.12.
• Pal, S.K., and Singh, H.P. (2016): Finite population mean estimation through a two-parameter ratio estimator using auxiliary information in presence of non-response. Journal of Applied Mathematics, Statistics and Informatics, 12(2), 5-39.  De-Gruyter, WoS (ESCI), Q4, ISSN No: 1339-0015, Impact Factor: 0.300.
• Singh, H.P., and Pal, S.K. (2016): An efficient class of estimators of finite population variance using quartiles. Journal of Applied Statistics, 43(10), 1945-1958. Taylor & Francis, Scopus, WoS (SCI), Q2, ISSN No: 0266-4763, Impact Factor: 1.416, NAAS Rating: 7.40.
• Singh, H.P., and Pal, S.K. (2016): Search of good rotation patterns through exponential type regression estimator in successive over two occasions. Italian Journal of Pure and Applied Mathematics, 36, 567-582. Scopus, WoS, Q3, ISSN No: 1126-8042, Impact Factor: 0.172.
• Singh, H.P., and Pal, S.K. (2016): An efficient effective rotation pattern in successive sampling over two occasions. Communication in Statistics-Theory and Methods, 45(17), 5017-5027. Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Singh, H.P., and Pal, S.K. (2016): Use of several auxiliary variables in estimating the population mean in two-occasion rotation pattern. Communication in Statistics-Theory and Methods, 45(23), 6928-6942. Taylor & Francis, Scopus, WoS (SCIE), Q3, ISSN No: 0361-0926, Impact Factor: 0.863, NAAS Rating: 6.89.
• Singh, H.P., and Pal, S.K. (2016): Improved estimation of finite variance using auxiliary information in presence of measurement errors. Investigación Operacional, 37(2), 147-162. Scopus, WoS (SCIE), Q3, ISSN No: 0257-4306, Impact Factor:  0.650.
• Singh, H.P., and Pal, S.K. (2016): A new family of estimators of the population variance using information on population variance of auxiliary variable in sample surveys. Statistics in Transition-new series, 17(4), 605-630. Scopus, WoS, Q4, ISSN No: 1234-7655, Impact Factor:  0.196.
• Solanki, R.S., Singh, H.P. and Pal, S.K. (2015): Improved ratio-type estimators of finite population variance using quartiles. Hacettepe Journal of Mathematics and Statistics, 44(3), 747-754. Scopus, WoS (SCIE), Q2, ISSN No: 1303-5010, Impact Factor: 0.369.
• Singh, H.P., Pal, S.K. and Solanki, R.S. (2014): A new procedure for estimation of finite population variance using auxiliary information. Journal of Reliability and Statistical Studies, 7(2), 149-160.WoS (ESCI), ISSN No: 2229-5666, Impact Factor: 0.168.

PAPERS IN PEER-REVIEWED JOURNALS

• Pal, S.K., and Singh, H.P. (2018): Improved estimators of the finite universe variance and mean using ancillary variable in sample surveys. International Journal of Mathematics and Computation, 29(2), 59-70. ISSN No: 0974-5718. Impact Factor: 0.264.
• Pal, S.K., Singh, H.P. and Yadav A.  (2018): A two-parameter ratio-product-ratio estimator for population mean using auxiliary information in systematic sampling. International Journal of Mathematics and Computation, 29(4), 52-62. ISSN No: 0974-5718, Impact Factor: 0.264.
• Singh, H.P., and Pal, S.K. (2017):A modified procedure for estimating the population mean in two-occasion successive sampling. Afrika Statistika, 12(3), 1347-1365, ISSN No: 2316-090X.
• Singh, H.P., and Pal, S.K. (2016): Finite population mean estimating through a two-parameter ratio estimator using auxiliary information in presence of non-response. Journal of Applied Mathematics, Statistics and Informatics, 12(2), 5-39. De-Gruyter, WoS (ESCI), Q4, ISSN No: 1339-0015, Impact Factor: 0.300.
• Singh, H.P., Patidar, P., and Pal, S.K. (2016): A class of estimators of finite population total using two auxiliary variables. Journal of Applied Mathematics and Statistics, 3(2), 82-98. ISSN No: 2186-9197.
• Singh, H.P., Pal, S.K. and Mehta, V. (2016): A generalized class of dual to ratio type estimators of finite population mean in sample surveys. Applied Mathematics and Information Sciences Letters, 4(1), 25-33. ISSN No, 2373-8944.
• Singh, H.P., Pal, S.K. and Mehta, V. (2016): A generalized class of ratio cum dual to ratio estimators of finite population mean using auxiliary information in sample surveys. Mathematical Sciences Letters, 5(2), 203-211. ISSN No: 2090-9616.
• Singh, H.P., Pal, S.K. and Yadav, A. (2016): Efficient estimation of population variance using auxiliary information in sample surveys. Journal of Advanced Research in Applied Mathematics and Statistics, 1(2), 17-28. ISSN No: 2455-7021.
• Singh, H.P., and Pal, S.K. (2015): A new chain ratio-ratio-type exponential estimator using auxiliary information in sample surveys. International Journal of Mathematics and Its Application, 3(4-B), 37-46. ISSN No: 2347-1557.
• Singh, H.P., and Pal, S.K. (2015): On the estimation of population mean in rotation sampling. Journal of Statistics Applications and Probability Letters, 2(2), 131-136. ISSN No: 2090-844X.
• Singh, H.P., and Pal, S.K. (2015): On the estimation of population mean in successive sampling. International Journal of Mathematical Sciences and Applications, 5(1), 179-185. ISSN No: 2230-9880.
• Singh, H.P., Mehta. V., and Pal., S.K. (2014): Dual to ratio and product type estimators using stratified ranked set sampling. Journal of Basic and Applied Engineering Research, 1(13), 7-12. ISSN No: 2350-0255.
• Singh, H.P., Pal, S.K., and Solanki, R.S. (2013): Improved estimation of finite population variance using quartiles.  Journal of the Turkish Statistical Association, 6(3), 116 -121. ISSN No: 1300-4077.
• Solanki, R.S., Singh, H.P., and Pal, S.K. (2013): Improved estimation of finite population mean in sample survey. Journal of Advance Computing, 1(2), 70-78. ISSN No: 2165-7823.

PAPERS IN INTERDISCIPLINARY AREAS

• Pal, S.K., Baral, M.M., Mukherjee, S. Venkataiah, C. Jana, B. (2022): Analyzing the impact of supply chain innovation as a mediator for healthcare firms' performance. Materials Today: Proceedings 56 (P5), 2880-2887, Scopus, Q4, ISSN No: 2214-7853.
• Roy, R., Baral, M.M., Pal, S.K., Kumar, S., Mukherjee, S. and Jana, B. (2022): Discussing the present, past, and future of machine learning techniques in livestock farming: A systematic literature review, International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, IEEE Xplore, 1, 179-183, Scopus, ISSN No: 2668-6831.
• Mukherjee, S., Baral, M.M., Pal, S.K., Chittipaka, V., Roy, R. and Alam, K. (2022):  Humanoid robot in healthcare: A systematic review and future research directions. International Conference on Machine Learning, Big Data, Cloud and Parallel Computing, IEEE Xplore, 1, 822-826, Scopus, ISSN No: 2668-6831.
• Mukherjee, S., Baral, M.M., Chittipaka, V., Pal, S.K. and Nagariya, R.(2022): Investigating sustainable development for the COVID-19 vaccine supply chain: A structural equation modeling approach. Journal of Humanitarian Logistics and Supply Chain Management 10(2), 1-26. Scopus, WoS (SCIE), Q4, ISSN No: 2042-6747, Impact Factor: 3.022.
• Mukherjee, S., Baral, M.M., Chittipaka, V. and  Pal, S.K. (2022): Analyzing the factors that will impact the supply chain of the COVID-19 vaccine: A structural equation modeling approach. Journal of Statistics and Management Systems 25(6), 1319-1334, Taylor & Francis, WoS (ESCI), Q3,  ABDC-Category C, ISSN No: 0972-0510, Impact Factor: 1.400.
• Roy, R., Chekuri, K., Sandhya, G., Pal, S.K. and Mukherjee, S. and Marada, N. (2022): Exploring the blockchain for the sustainable food supply chain. Journal of Information and Optimization Sciences 43 (7), 1835-1847, WoS (ESCI), Q3, ISSN No: 2169-0103.
• Mukherjee, S.,  Baral, M.M., Chittipaka, V., Pal, S.K. and Nagariya, R. (2021): Service robots are an option for contactless services due to the COVID-19 pandemic in hotels. DECISION, 48, 445-460. Springer, WoS (ESCI), Q4, ISSN No: 2325-9973, Impact Factor: 1.153.
• Pal, S.K., Mukherjee, S., Baral, M.M., and Aggarwal, S. (2021): Problems of big data adoption in the healthcare industries. Asia Pacific Journal of Health Management, 16(4), 282-287. Scopus, Q4, ISSN No: 2204-3136, Impact Factor: 0.490.

Book Chapter

• Mukherjee, S., Chittipaka, V., Baral, M.M.,  Pal, S.K., and Rana, S. (2022): Impact of artificial intelligence in the healthcare sector.Artificial Intelligence and Industry 4.0-Intelligent Data-Centric Systems, 23-54. Elsevier, Academic Press, Netherland.
• Mukherjee, S., Baral, M.M., Chittipaka, V., and Pal, S. K. (2022): Addressing the strategies for the sustainable supply chain in the Post-COVID-19 pandemic.Making Complex Decisions toward Revamping Supply Chains amid COVID-19 Outbreak. eBook ISBN9781003150084, CRC Press Taylor and Francis.
• Mukherjee, S., Venkataiah, C., Baral, M.M.,  Pal, S.K. (2022): Measuring the organizational performance of various retail formats in the adoption of business intelligent. Business Intelligence and Human Resource Management : Concept, Cases, and Practical Applications, 191-206.eBook ISBN9781003184928, Productivity Press.
• Mukherjee, S., Baral, M.M., Chittipaka, V.,  Pal, S.K. (2022): A structural equation modelling approach to develop a resilient supply chain strategy for the COVID-19 disruptions. Handbook of Research on Supply Chain Resiliency, Efficiency, and Visibility in the Post-Pandemic Era, 242-266, ISBN13: 9781799895060, IGI Global International Publisher.
• Baral, M.M.,  Mukherjee, S., Chittipaka, V.,  Srivastava, S.C., and Pal, S.K. (2022): Critical components for food wastage in food supply chain management. Advances in Mechanical and Industrial Engineering, Proceedings of the International Conference on Advances in Mechanical and Industrial Engineering, 1, 295-300, eBook ISBN 9781003216742, CRC Press Taylor and Francis.
•  Mukherjee, S., Baral, M.M., Chittipaka, V., Srivastava, S.C., Pal, S.K. (2021): Discussing the impact of Industry 4.0 in agriculture supply chain. Recent Advances in Smart Manufacturing and Materials. Lecture notes in Mechanical Engineering, 301-307, Singapore. Springer, Scopus, Q4, ISSN No: 2195-4356, Impact Factor: 0550. 
• SK Pal, HP Singh, RS Solanki, R Yadav(2021): Estimation of the population variance in Sample Surveys: A new estimator. Recent Advancements in Sampling Theory & its Applications with ISBN No:978-93-91248-28-4, 28-38, MKSES Publication Lucknow U.P. India
• Kamboj, S., Dhawan, P. and Pal, S.K. (2020): PUBG: Effects our brain or just a game?Emerging Business Ideas - An Insight into Skills & Innovations with ISBN978-81-944303-2-2, 152-173, National Press Associates, New Delhi.
• Pal, S.K. (2020): A study of associated factors of age at first birth by utilizing discrete-time event history analysis. Emerging Business Ideas - An Insight into Skills & Innovations with ISBN978-81-944303-2-2, 260-270, National Press Associates, New Delhi.

Summer Training Programme, Seminar/ Workshops Attended

• Attended online five days National Workshop on “Multivariate Analysis & Graphics with R Software” held on June 14-18, 2021 organized by Science Tech Institute, Lucknow, Uttar Pradesh, India.
• Attended online two-week Refresher Course / Faculty Development Programme in Statistics on the theme “Applications of Statistical Techniques in Real World” held on May 01-15, 2021, sponsored by Ministry of Education, organized by Teaching Learning Centre, Ramanujan College, University of Delhi, New Delhi, India.
• Attended online two-week National FDP on “Managing Online Classes and Co-Creating MOOCS” held on April 13-17, 2020, sponsored by Ministry of Human Resource Development, organized by Teaching Learning Centre, Ramanujan College, University of Delhi, New Delhi, India.
• Attended online seven days Workshop on “Data Analytics and Interpretation using SPSS” held on June 15-21, 2020, organized by School of Commerce & Management Studies, Dayananda Sagar University, Bangalore, India. 
• Attended five days Orientation Programme in “Science Sciences for Research Scholar” held on January 16-20, 2017, sponsored by Indian council of Social Science Research, New Delhi, organized by M.P. Institute of Socials Science Research, Ujjain, Madhya Pradesh, India.
• Attended a one-week National Workshop on “In-Silico Statistical Tools and Their Applications in Bio-Sciences” held on March 14-19, 2015, organized by the Department of Statistics, Govt. (Model, Autonomous) Holkar Science Collage, Indore, Madhya Pradesh, India.

Certifications

Organize Seminar/Conference/Workshop

• One week National Workshop on “Data Analysis using SPSS/SAS/R Softwares” held on November 25-30, 2018, at the Department of Statistics, BFIT Group of Institutions, Suddhowala, Dehradun.
• One day National Seminar on “Statistical Tools and Software Used for Making Project/ Dissertation/ Thesis” held on March 15, 2019, at the Department of Statistics, BFIT Group of Institutions, Suddhowala, Dehradun.

Resource Person / Guest Lecture / Key Note Speaker / Session Chair

• Surya K. Pal (2021): Delivered Invited talk in a National Webinar on the occasion of “National Statistics Day” on the topic “Applications of Statistical Analysis in Agriculture” held on June 29, 2021, organized by the Faculty of Agriculture Sciences, Mandsaur University, Mandsaur, Madhya Pradesh, India.
• Surya K. Pal (2020): Delivered Invited talk under the program “Knowledge Series” on the topic “Statistics for Business Decisions” held on December 9-14, 2020, organized by the Department of MBA, Pt. S.N. Shukla University, Shahdol, Madhya Pradesh, India.
• Surya K. Pal (2020): Chaired a Technical Session at the International Conference on “Recent Tends and Innovations in Multidisciplinary Research” held on March 14, 2020, organized by IEC University, Baddi, Himachal Pradesh, India.                                                                                                         
• Surya K. Pal (2020): Chaired a Technical Session at the 3^rd International Conference on “Developments through Skills and Innovations” held on February 15, 2020, organized by GGNIMT Ludhiana, Punjab, India.
• Surya K. Pal (2019):  Delivered Invited talk to National Seminar on “Research Methodology & Experimental Designs”, on the topic “Application of Experimental Design in Research Methodology” held on February 28, 2019, organized by the Department of Horticulture & Forestry, BFIT Group of Institutions, Suddhowala, Dehradun.

Supervised research project

• Simultaneous Selection of Most Stable and High Yielding Genotypes by Non-Parametric Methods in Crop Improvement Program

Area of Interest

• Applied Mathematics and Statistics
• Multivariate Data Analysis using SPSS
• Computational Statistics with R & Python
• Survival Analysis & Big Data Analytics & Text Mining