Birla Institute of Technology, Mesra
Manish K Pandey
Assistant Professor, CQEDS
Ph.D. (Computer Science) 		Contact Address
Permanent Address Centre for Quantitative Economics and Data Science (CQEDS) Birla Institute of Technology, Mesra
Local Address Centre for Quantitative Economics and Data Science (CQEDS) Birla Institute of Technology, Mesra
Phone (Office) 7388140147
Phone Residence 7388140147
Email Id manishkpandey@bitmesra.ac.in
Joined Institute on : 20-Sep-2021
  Work Experience
 
Teaching : 1 Years

Research : 11 Years

Individual: 14.5 Years
  Professional Background

Teaching Experience

Working as Assistant Professor (Data Science) in Center for Quantitative Economics and Data Science (CQEDS) at Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

Research Experience

Worked as a Research Scientist B at DST - Mahamana Centre of Excellence in Climate Change Research (MCECCR) Institute of Environment & Sustainable Development Banaras Hindu University Varanasi - 221005, U.P., India.

  • The roles and responsibilities mainly included exploring the benefits of A.I. in the areas of Climate Change.
  • Management of the High-Performance Computing infrastructure for climate modelling and weather forecasting and their efficient analytics as a part of National Supercomputing Mission.

Worked as a Research Associate in a project funded by the National Mission on Himalayan Studies (NMHS), Ministry of Environment, Forest & Climate Change (MoEF&CC) entitled "Hyperspectral Imaging for sharper definitions of Himalayan Ecosystems and its high-value plant species under climate uncertainties".

  • The roles and responsibilities mainly included efficient analytics of hyperspectral big data in developing new programming models through the use of artificial intelligence techniques that scale well at the hyperdimensional level.
  • Development of models for the identification and mapping of Himalayan species using European and NASA Satellite data sets for probabilistic prediction of their occurrences.
  • Establishing the relation between physical and climatic variables to estimate the probability distribution of species using several machine learning algorithms.
  • Classification of the Himalayan species through collected spectra and other hyperspectral data.
  • Other roles and responsibilities include project and financial management of the project. The training and grooming of the new resources as a part of knowledge transition and architecting the project's progress is carried out. The Preparation of Annual Project Report, Statement of Expenditure and Utilization Certificate is also conducted as a part of the project.
  • Part of the expedition group for carrying out extensive field sampling in the Himalayan glaciers.
  • Aerial Mapping of medicinally and economically plant species using UAV facility is conducted over the complex topography of the Himalayas.
  • As a part of incubating the idea of bringing the benefits of the technology to the public, developing a state-of-the-art application that will provide the spectral signatures of the Himalayan species for mapping and monitoring the application through hyperspectral datasets. This is a part of the National Mission of Himalayan Studies.
  • Development of a cloud-based platform to be used by the end-users for real-time monitoring of biophysical parameters. This again is a part of the National Mission of Himalayan Studies.

Industrial Experience

Worked as a Project Engineer in Wipro Technologies, -Bangalore in providing software solutions in Telecom Domain

  • Development and Maintenance of Intelligent Contact Management (I.C.M.) product for CISCO
  • Development of Activation and Order Management of Service Delivery Platform (SDP) for AIRCEL
  • Roles and Responsibilities mainly included requirement gathering, high-level designing, low-level designing, code development, executing test plans, client interaction and onsite coordination.
  • Well versed in quality processes like Capability Maturity Model-Integration (CMM-I)
  • I have been recognized with several awards for acting as a Team Player, Leader, and Best Project Delivery.
  Research Areas
 
  • Artificial Intelligence for Climate Change Analytics
  • Hyperspectral Data Analytics
  • Big Data Analytics in Agriculture
  • Web Services Recommendation
  • Machine Learning for Vehicular & Financial Analytics
  • Cloud Computing
  Award and Honours
 

Certifications
  • Certificate of Achievement for successful completion of ASP.NET 2.2 assessment on 26th April 2011.
  • Certificate of Achievement for successful completion of ASP.NET 2.1 assessment on 31st March 2010.
  • Technical Certification in Unified Communication Technology Domain on 29th March 2010.
  • Certificate of Achievement for successful completion of C# 1.1 assessment on 31st August 2009.
  • Technical Certification in Contact Centre Network Technology Domain on 4th March 2009.
  • Certificate in C programming from UPDESCO with grade A on 21st July 2004.

 

Achievements
  • Worked as a Resource Person in the 2nd National workshop on Techniques in Hyperspectral Data Analysis and Processing held between 27th -31st January 2020 organized by Institute of Environment and Sustainable Development and Institute of Technology, Banaras Hindu University, Varanasi.
  • Worked in the organization of the International Conference on Modelling and Simulation of Diffusive Processes and Applications (ICMSDPA 2012) organized as a part of Silver Jubilee Celebration of the Department of Computer Science, Banaras Hindu University, Varanasi during 9th -12th October.
  • Received Cisco Wipro C.D.F. Excellence Vibrant Award for Making a Difference in 2010.
  • Received Cisco Wipro C.D.F. Excellence Trail Blazer Award for Best Project Delivery in 2009.
  • Received Cisco Wipro C.D.F. Excellence Vibrant Award for Making a Difference in 2009.
  • Received B.H.U medal for standing First in M.Sc. (Hons) Exam. 2008.
  • Volunteered as Coordinator in Torque, an annual technical feast organized by the Department of Computer Science in association with ARICENT on 25th -27th February 2008.
  • Volunteered as a member in National Conference and Workshop on High-Performance Computing and Applications (HPCA 2008) organized by Department of Computer Science on 25th -27th February 2008.
  • Received B.H.U medal from Honourable Vice President of India (late) Shri. Bhairon Singh Shekhawat for standing First in B.Sc. (Hons) Exam. 2006.
  • Received Dr Basudeo Sahni Gold medal for standing First at the B.Sc. (Hons) Exam. 2006.
  • Received Smt. Gargi Devi silver medal for standing First at the B. A/B.Sc. (Hons) Exam. 2006.
  • I was involved in Various Team Building Activities as a part of the Voice Technology Group Happy Team.
  • Coordinator of National level Student technical festival 'TORQUE-08'.
  • Member of student's Council representing Department of Computer Science in Faculty of science.
  • Received Mrs Seetha Tilak Fellowship of Rs11000/ for getting the highest marks in Physics in B.Sc. (Ist year).
  • Recipient of many prizes in Play and Quiz at school and district level.
  • Member of Student's grievance committee of B.H.U.
  • Recipient of merit scholarship for getting highest marks in B.Sc. for three Consecutive years
  • Got Selected in ZENSAR and WIPRO.
  • Received certificate of Appreciation in Medhavi Kshatra Abhinanadan Samaroh, 1998-99 organized by Sewa Bharati, Uttar Pradesh.
  
  Publications
 

Research Publication in Journals

  1. Singh, P., Srivastava, P. K., Shah, D., Pandey, M. K., Anand, A., Prasad, R., Dave, R., Verrelst, J., Bhattacharya, B. K., & Raghubanshi, A. S. (2022). Crop type discrimination using Geo-Stat Endmember Extraction and machine learning algorithms. Advances in Space Research.    https://doi.org/10.1016/j.asr.2022.08.031 (I.F. 2.611)
  2. Pandey, Manish Kumar, Anu Saini, Karthikeyan Subbiah, Nalini Chintalapudi, and Gopi Battineni. 2022. Improved Carpooling Experience through Improved GPS Trajectory Classification Using Machine Learning Algorithms. Information 13, no. 8: 369. https://doi.org/10.3390/info13080369 (I.F. NA)
  3. Nair, Preeti, Manish Kumar Pandey, and Arun Kumar Singh. 2021. Tapping the Sentiment of the Customers through Association Rule Mining for the Products Endorsed by Celebrities. Journal of Scientific Research 65(5): 212–16. http://dx.doi.org/10.37398/JSR.2021.650525. (I.F. NA)
  4. Anand, Akash, Manish K. Pandey, Prashant K. Srivastava, Ayushi Gupta, and Mohammed L. Khan 2021. Integrating Multi-Sensors Data for Species Distribution Mapping Using Deep Learning and Envelope Models" Remote Sensing 13, no. 16: 3284. https://doi.org/10.3390/rs13163284 (I.F. 4.848)
  5. Manish Kumar Pandey, Mamta Mittal, Karthikeyan Subbiah, Optimal balancing & efficient feature ranking approach to minimize credit risk, International Journal of Information Management Data Insights, Volume 1, Issue 2, 2021, 100037, ISSN 2667-0968, https://doi.org/10.1016/j.jjimei.2021.100037. (I.F. NA)
  6. Ayushi Gupta, Prachi Singh, Prashant K. Srivastava, Manish K. Pandey, Akash Anand, K. S. Chandra Sekar & Karuna Shanker (2021) Development of hyperspectral indices for anti-cancerous Taxol content estimation in the Himalayan region, Geocarto International, DOI: 10.1080/10106049.2021.1983031 (I.F. 4.889)
  7. Singh, Pangambam Sendash, Singh, Vijendra Pratap, Pandey, Manish Kumar, Karthikeyan, Subbiah, 2021, Enhanced classification of hyperspectral images using improvised oversampling and undersampling techniques, International Journal of Information Technology, ISSN 2511-2112, https://doi.org/10.1007/s41870-021-00676-0 (I.F. NA)
  8. Singh, Ram Kumar, Drews, Martin, De la Sen, Manuel, Srivastava, Prashant Kumar, Trisasongko, Bambang H., Kumar, Manoj, Pandey, Manish Kumar, Anand, Akash, Singh, S. S., Pandey, A. K., Dobriyal, Manmohan, Rani, Meenu, Kumar, Pavan, 2021, Highlighting the compound risk of COVID-19 and environmental pollutants using geospatial technology, Scientific Reports, 8363, 11, 1, ISSN 2045-2322, https://doi.org/10.1038/s41598-021-87877-6 (I.F. 4.379)
  9. Ramandeep Kaur M. Malhi, Akash Anand, Prashant K. Srivastava, Sumit K. Chaudhary, Manish K Pandey, Mukund Dev Behera, Amit Kumar, Prachi Singh, G. Sandhya Kiran, Synergistic evaluation of Sentinel 1 and 2 for biomass estimation in a tropical forest of India, Advances in Space Research,2021, ISSN 0273-1177, https://doi.org/10.1016/j.asr.2021.03.035. (I.F. 2.152)
  10. Ramandeep Kaur M. Malhi, Manish Kumar Pandey, Akash Anand, Prashant K. Srivastava, George P. Petropoulos, Prachi Singh, G. Sandhya Kiran & B. K. Bhattarcharya (2021) Band selection algorithms for foliar trait retrieval using AVIRIS-NG: a comparison of feature-based attribute evaluators, Geocarto International, https://doi.org/10.1080/10106049.2020.1870167(I.F. 4.889)
  11. Singh, V. P., Pandey, M. K. *, Singh, P. S., & Karthikeyan, S. (2020). An LSTM Based Time Series Forecasting Framework for Web Services Recommendation. Computación y Sistemas, 24(2). https://doi.org/10.13053/cys-24-2-3402 (I.F. NA)
  12. Sendash Singh, P., Pratap Singh, V., Kumar Pandey, M., & Karthikeyan, S. (2020). Local Binary Ensemble based Self-training for Semi-supervised Classification of Hyperspectral Remote Sensing Images. Computación y Sistemas, 24(2). https://doi.org/10.13053/cys-24-2-3374 (I.F. NA)
  13. Singh, V. P., Pandey, M. K. *, Singh, P. S., & Karthikeyan, S. (2020). Neural Net Time Series Forecasting Framework for Time-Aware Web Services Recommendation. Procedia Computer Science, 171, 1313–1322. https://doi.org/10.1016/j.procs.2020.04.140 (I.F. NA)
  14. Singh, V. P., Pandey, M. K. *, Singh, P. S., & Karthikeyan, S. (2019). An empirical mode decomposition (E.M.D.) enabled long sort term memory (LSTM) based time series forecasting framework for web services recommendation. In Frontiers in Artificial Intelligence and Applications (Vol. 320, pp. 715–723). IOS Press. https://doi.org/10.3233/FAIA190241 (I.F. NA)
  15. Singh, V. P., Pandey, M. K. *, Singh, P. S., & Karthikeyan, S. (2020). An Econometric Time Series Forecasting Framework for Web Services Recommendation. In Procedia Computer Science (Vol. 167, pp. 1615–1625). Elsevier B.V. https://doi.org/10.1016/j.procs.2020.03.372 (I.F. NA)
  16. Anand, A., Srivastava, P. K., Maurya, N. K., Dugesar, V., Pandey, M. K., Singh, P., Gupta, A., & Kothwade, G. (2019). Analyzing the Aerosol Absorption Index ( AAI ) trend in Indian region during Post-Monsoon Season. Bulletin of Environmental and Scientific Research, 8(2), 6–9.
  17. Anand, A., Srivastava, P. K., Pandey, M. K., Maurya, N. K., Dugesar, V., Singh, P., & Gupta, A. (2019). Spatio-Temporal Analysis of Forest cover change in Bero District. Bulletin of Environmental and Scientific Research, 8(4), 1–6.
  18. Pandey, M. K. *, & Subbiah, K. (2019). Performance analysis of time series forecasting using machine learning algorithms for prediction of Ebola casualties. Communications in Computer and Information Science, 899, 320–334. https://doi.org/10.1007/978-981-13-2035-4_28 (I.F. NA)
  19. Sunil Kumar and Manish Kumar Pandey*. Comparison of Dynamic Load Balancing Policies in Data Centres. International Journal of Computer Applications 104(17):9-13, October 2014. https://doi.org/10.5120/18298-8324 (I.F. NA)

Research Publication in Conferences

  1. P. S. Singh, V. P. Singh, M. K. Pandey and S. Karthikeyan, "One-class Classifier Ensemble based Enhanced Semisupervised Classification of Hyperspectral Remote Sensing Images," 2020 International Conference on Emerging Smart Computing and Informatics (ESCI), Pune, India, 2020, pp. 22-27, https://doi.org/10.1109/ESCI48226.2020.9167650
  2. Pandey, M.K. *, Karthikeyan, S.: Performance analysis of time series forecasting of ebola casualties using machine learning algorithm. In: Proceedings ITISE 201, Granada, 18–20 September (2017). ISBN 978-84-17293-01-7
  3. Pandey M.K. *, Subbiah K. (2016) Social Networking and Big Data Analytics Assisted Reliable Recommendation System Model for Internet of Vehicles. In: Hsu CH., Wang S., Zhou A., Shawkat A. (eds) Internet of Vehicles – Technologies and Services. I.O.V. 2016. Lecture Notes in Computer Science, vol 10036. Springer, Cham https://doi.org//10.1007/978-3-319-51969-2_13
  4. M. K. Pandey* and K. Subbiah, "A Novel Storage Architecture for Facilitating Efficient Analytics of Health Informatics Big Data in Cloud," 2016 IEEE International Conference on Computer and Information Technology (C.I.T.), Nadi, 2016, pp. 578-585. https://doi.org/10.1109/CIT.2016.86
  5. S. Kumar, M. K. Pandey*, A. Nath and K. Subbiah, "Performance Analysis of Ensemble Supervised Machine Learning Algorithms for Missing Value Imputation," 2016 2nd International Conference on Computational Intelligence and Networks (CINE), Bhubaneswar, 2016, pp. 160-165. https://doi.org/10.1109/CINE.2016.35
  6. S. Kumar, M. K. Pandey*, A. Nath and K. Subbiah, "Missing QoS-values predictions using neural networks for cloud computing environments," 2015 International Conference on Computing and Network Communications (CoCoNet), Trivandrum, 2015, pp. 414-419. https://doi.org/10.1109/CoCoNet.2015.7411219
  7. S. Kumar, M. K. Pandey, A. Nath, K. Subbiah and M. K. Singh, "Comparative study on machine learning techniques in predicting the QoS-values for web-services recommendations," International Conference on Computing, Communication & Automation, Noida, 2015, pp. 161-167. https://doi.org/10.1109/CCAA.2015.7148398
  8. M. K. Pandey*, S. Kumar, K. Subbiah, " Information Security Management System (ISMS) Standards in Cloud Computing-A Critical Review," International Conference on Control, Computing, Communication and Materials, Allahabad, 2013. https://doi.org/10.13140/RG.2.1.3687.4649

Research Publication in Books

  1. Pandey M.K., Srivastava P.K. (2021) A Probe into Performance Analysis of Real-Time Forecasting of Endemic Infectious Diseases Using Machine Learning and Deep Learning Algorithms. In: Roy S., Goyal L.M., Mittal M. (eds) Advanced Prognostic Predictive Modelling in Healthcare Data Analytics. Lecture Notes on Data Engineering and Communications Technologies, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-16-0538-3_12
  2. Manish Kumar Pandey, Prashant K. Srivastava, George P. Petropoulos, Chapter 21 - Future pathway for research and emerging applications in GPS/GNSS, Editor(s): George p. Petropoulos, Prashant K. Srivastava, G.P.S. and GNSS Technology in Geosciences, Elsevier, 2021, Pages 429-438, ISBN 9780128186176, https://doi.org/10.1016/B978-0-12-818617-6.00006-8.
  3. Pandey, P. C., Pandey, M. K., Gupta, A., Singh, P., & Srivastava, P. K. (2021). Spectroradiometry: types, data collection, and processing. Advances in Remote Sensing for Natural Resource Monitoring, 9-27. https://doi.org/10.1002/9781119616016.ch2
  4. Srivastava, P. K., Malhi, R. K. M., Pandey, P. C., Anand, A., Singh, P., Pandey, M. K., & Gupta, A. (2020). Revisiting hyperspectral remote sensing: origin, processing, applications and way forward. In Hyperspectral Remote Sensing (pp. 3–21). Elsevier. https://doi.org/10.1016/b978-0-08-102894-0.00001-2
  5. Lamine, S., Pandey, M. K., Petropoulos, G. P., Brewer, P. A., Srivastava, P. K., Manevski, K., … Macklin, M. G. (2020). Spectroradiometry as a tool for monitoring soil contamination by heavy metals in a floodplain site. In Hyperspectral Remote Sensing (pp. 249–268). Elsevier. https://doi.org/10.1016/b978-0-08-102894-0.00002-4

Abstracts Published/Poster Presented:

  1. Presented a paper entitled " A Deep Learning Approach for Classification of Medicare Beneficiaries Based on Gender and being Affected with Cancer" in International Conference on Machine Learning and Data Engineering (ICMLDE 2022) organized by the School of Computer Science, University of Petroleum & Energy Studies, India in association with the University of Dayton, Ohio, U.S.A. on 7th -8th September 2022.
  2. Presented an extended abstract entitled "Classification of Medicinally Important Himalayan Plant Species using Hyperspectral Remote Sensing and Machine-Learning Algorithms" in ISRS-ISG National Symposium on "Remote sensing for environmental monitoring and climate change assessment: Opportunity and Challenges" At: Space Application Center, Ahmedabad on 18-19 December 2020.
  3. Presented a Poster entitled "Hyperspectral Sensors for Biochemical Parameter Detection in Medicinally Important Plant" in Indo U.S. Conference on Bioengineering & Regenerative Medicine (ICBR 2020) organized at School of Biochemical Engineering, IIT BHU, Varanasi on 27-29 February 2020.
  4. Presented a paper entitled "An Econometric Time Series Forecasting Framework for Web Services Recommendation" in International Conference on Computational Intelligence and Data Science (ICCIDS 2019) organized by the Department of Computer Science and Engineering, The NorthCap University, Gurugram in association with the University of Dayton, Ohio, U.S.A. on 6th -7th September 2019.
  5. Presented a paper entitled "Performance Analysis of Time Series Forecasting Using Machine Learning Algorithms for prediction of Ebola Casualties" in International Conference on Applications of Computing and Communication Technologies (ICACCT 2018) organized by Department of Computer Science, Shyama Prasad Mukherjee College, University of Delhi on 9th March 2018.
  6. Presented a paper entitled "Enhanced Car-Pooling Experience through Improved Classification on G.P.S. Trajectory Data using Machine Learning Algorithm" in International Conference on Electrical, Electronics, Computers, Communication, Mechanical and Computing (EECCMC 2018) organized by Priyadarshini Engineering College, Vellore, Tamil Nadu, India during 28-29 January 2018.
  7. Presented a paper entitled "Performance Analysis of Time Series Forecasting of Ebola Casualties Using Machine Learning Algorithms" in International Work Conference on Time Series Analysis (ITISE 2017) At: Granada (Spain) on 18-20 September 2017.
  8. Presented a paper in the 2nd World Congress on Vedic Sciences at Banaras Hindu University from 9th -11th February 2007.

Training / Workshops Attended

  1. Certificate of Completion of Training on Micro Category TAS RPAS LOOKOUT_VTOL - LITE TALV2400 approved by DGCA (Approval Ref No: 27046/72/2019-AED, Dated: 19 June 2019)  
  2. Attended one-week online workshop on "Statistical Computing Using R" held at DST- Centre for Interdisciplinary Mathematical Sciences, Institute of Science, Banaras Hindu University during October 11-16, 2020.
  3. Completed the training course conducted by Electrotek International on the operation of FieldSpec4 Spectroradiometer from 29th -31st July 2019.
  4. Participated in the International Workshop of Artificial Intelligence -Reasoning and Learning organized by Department of Computer Science and Engineering, The NorthCap University, Gurugram in association with University of Dayton, Ohio, U.S.A. on 6th -7th September 2019.
  5. Participated in the 16th IEEE International Conference on Computer and Information Technology (IEEE CIT), 2nd IEEE International Symposium on Security and Privacy in Social Networks and Big Data (SocialSec), 3rd International Conference on Internet of Vehicles (I.O.V.) and 6th IEEE International Symposium on Cloud and Service Computing (IEEE SC2) organized by the University of Fiji, Fiji on 7th-10th December 2016.
  6. Participated in the Author Workshop conducted by Springer and Edanz along with Central Library, Banaras Hindu University at Varanasi on 24th January 2013, entitled "How to write and get Published in Scientific Journals and Publish Manuscripts"
  7. Participated in the International Research Workshop on Cloud Computing (RWCC 2014) organized by School of Computer and System Sciences, Jawaharlal Nehru University, New Delhi on 26-27 September 2014.
  8. Attended a Workshop on "Fire Safety and Basic Life Support" at Wipro on 15th July 2008.

Invited Talks/Keynote Speaker

  1. Delivered Invited Talk in the 45th Siksha ‘O’ Anusandhan Weekly Academic Lecture (SOAWAL) entitled “Fundamentals of Data Science, its life cycle and Research Perspectives in Third Computing Paradigm”
  2. Keynote Speaker in the International Conference on Machine Learning and Data Engineering (ICMLDE 2022) held at UPES, Dehradun, India between 07 - 08 September 2022.

 
  Current Sponsored Projects
 
  1. Science and Engineering Research Board Sponsored High-End workshop (KARYASHALA) on “Techniques and Applications of Hyperspectral Data Analytics” from 25th July 2022 to 7th August 2022. (Sanctioned Amount - INR 5 Lacs), Status: Completed
  2. Birla Institute of Technology, Mesra, India, Sponsored SEED MONEY SCHEME for " Development and Validation of Graph Optimization Based Multi-Sensor Fusion Algorithm to Establish Real-Time Connections between Climatic Variables in Himalayan Ecohydrological Process Networks for Future Climate Projections." from September 2022 to August 2024. (Sanctioned Amount - INR 5 Lacs), Status: Ongoing
  Text and Reference Books
 

Manish K Pandey, Prashant K Srivastava, Rajesh Kumar Mall, Biswajeet Pradhan, Big Data Analytics: Algorithms and Applications, Academic Press, Elsevier Inc., Cambridge, MA 02139, U.S.A., by 1st June 2022. Paperback ISBN: 978-0-323-99932-8, eBook ISBN: 978-0-323-99933-5