Dr Manish Kumar Pandey is working as an Assistant Professor of Data Science at the Centre for Quantitative Economics and Data Science, Bira Institute of Technology, Mesra. He has over 15 years of experience in software development and research, specialising in Hyperspectral Data Analytics, Artificial Intelligence applications in Finance, Healthcare, and Vehicular domains, as well as Mathematical Optimisation, to build prediction models for diverse research projects. He obtained a doctorate in computer science in 2018. Before that, he had 3.6 years of experience in software development at Wipro Limited where he worked as a Project Engineer. This position has provided him with key employability skills while also allowing him to experience working in a professional and fast-paced environment. During his tenure as Project Engineer, he worked for 3.6 years in software development and maintenance for key IT industry leader Cisco. He is Well versed in quality processes like Capability Maturity Model-Integration (CMM-I) and recognized with several awards for acting as a Team Player, Leader as well as for Best Project Delivery. The roles and responsibilities during his post-doctoral research experience included efficient analytics of hyperspectral big data in developing new programming models using artificial intelligence techniques that scale well at the hyperdimensional level. He also worked as Research Scientist B at DST - Mahamana Centre of Excellence in Climate Change Research (MCECCR) Institute of Environment & Sustainable Development Banaras Hindu University where he explored the benefits of A.I. in the areas of Climate Change. He has published 37 papers in International Journals, Conferences and Books.

• 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
• Quantum Neural Networks

• Participated in the Panel Discussion on AI’s Impact on Art & Literature in Metaphor- Lucknow Literature Festival on 14th December 2024 at CII, Vibhuti Khand, Gomtinagar, Lucknow.
• Delivered Invited Talk entitled “Data Science, Machine Learning & Artificial Intelligence -Single & Multi-Variate Statistics with Python” in 5-Day Faculty Development Program (FDP) on AI-ML for Beginners: A Project-Based Approach organized by University Polytechnic, BIT Mesra from 16^th December 2024-20^th December 2024.
• Delivered Invited Talk entitled “Cliodynamics: Can Data Science decode Social Unrest for its Efficient Forecasting? in 14 days Refresh Course in Forecasting Social Unrest Cliodynamics organized by UGC- Human Resource Development Centre, Ranchi University, Ranchi from 7^th December 2023 to 20^th December 2023.
• Delivered a talk in live career guidance programme titled " Aur bhi hain rahein", on telecasted live on DD Jharkhand dated 25^th October 2023 from 3:00 PM. Topic of the programme was "Career opportunities in Quantitative economics and data science".
• Resource Person in Summer School 2023 entitled “Data Structure and Algorithm Design” held at Birla Institute of Technology, Mesra between 19th June to 23rd June 2023.
• Delivered Invited Talk entitled “Data Science for Earth System Sciences” in National Seminar on Grand Challenges in Earth System Sciences held at IESD, BHU, Varanasi between 1st to 3rd April 2023
• Delivered Invited Talk entitled “Data Science for Material Science” in SERB Sponsored one-week High-End Workshop (KARYASHALA) on ‘Joining Techniques for Modern Transportation Sector’ held at BIT Mesra, Ranchi between 5th Dec to 11th Dec 2022.
• Keynote Speaker in the International Conference on Machine Learning and Data Engineering (ICMLDE 2022) held at UPES, Dehradun, India between 7th and 8th September 2022.
• 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” on 4th June 2022. 

Research Publication in Journals

1. Ankanksha Kumari, Ujala Ahuja, Manish Kumar Pandey, Anupam Roy, Optimizing whole grain rice fortification using microwave-assisted screw conveying spraying and drying setup: Exploring solution absorption, gelatinization, and micronutrient retention, Food Chemistry, Volume 468,2025,142455, ISSN 0308-8146, https://doi.org/10.1016/j.foodchem.2024.142455       
2. Jaiswal, R., Shekhar, H., Gupta, S., Payra, S., Kumar Pandey, M., and Verma, S.: "Assessing The Impact of Land Use Changes on Pm2.5 Concentrations: A Geographically Weighted Regression Approach “, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-16601, https://doi.org/10.5194/egusphere-egu24-16601, 2024.
3. Vikas Dugesar, Manish K Pandey, Prashant K Srivastava, George P. Petropoulos, Sanjeev Kumar Srivastava & Virendra Kumar Kumra (2023) Performance Assessment of the Sentinel-2 LAI products and data fusion techniques for developing new LAI datasets over the high-altitude Himalayan forests, Geocarto International, https://doi.org/10.1080/10106049.2023.2247380 I.F. 3.45)
4. Kumar, P., Aishwarya, Srivastava, P. K., Pandey, M. K., Anand, A., Biswas, J. K., Drews, M., Dobriyal, M., Singh, R. K., De la Sen, M., Singh, S. S., Pandey, A. K., Kumar, M., & Rani, M. (2023). Nitrogen dioxide as proxy indicator of air pollution from fossil fuel burning in New Delhi during lockdown phases of COVID-19 pandemic period: impact on weather as revealed by Sentinel-5 precursor (5p) spectrometer sensor. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-023-02977-9 (I.F. 4.080)
5. Pandey, M. K., & Subbiah, K. (2023). A Deep Learning Approach for Classification of Medicare Beneficiaries Based on Gender and being Affected with Cancer. Procedia Computer Science, 218, 532–541. https://doi.org/https://doi.org/10.1016/j.procs.2023.01.035 (I.F. NA)
6. Satish, K.V., Dugesar, V., Pandey, M.K., Srivastava, P.K., Pharswan, D.S., and Wani, Z.A (2022). Development of forty-nine novel earth observation variables (NEOVs) for improving species distribution models in the Himalaya. figshare. Dataset. https://doi.org/10.6084/m9.figshare.20049125 (I.F. NA)
7. Satish, K.V., Vikas Dugesar, Manish K. Pandey, Prashant K. Srivastava, Dalbeer S. Pharswan, and Zishan Ahmad Wani. 2023. “Seeing from Space Makes Sense: Novel Earth Observation Variables Accurately Map Species Distributions over Himalaya.” Journal of Environmental Management 325 (January): 116428. https://doi.org/10.1016/j.jenvman.2022.116428. (I.F. 8.91)
8. Dugesar V, Satish KV, Pandey MK, Srivastava PK, Petropoulos GP, Anand A, Behera MD. Impact of Environmental Gradients on Phenometrics of Major Forest Types of Kumaon Region of the Western Himalaya. Forests. 2022; 13(12):1973. https://doi.org/10.3390/f13121973 (I.F. 3.282)
9. 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)
10. 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. 3.1)
11. 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)
12. 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)
13. 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)
14. 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, https://doi.org/10.1080/10106049.2021.1983031 (I.F. 3.45)
15. 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)
16. 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)
17. 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)
18. 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. 3.45)
19. 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)
20. 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)
21. 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)
22. 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)
23. 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)
24. 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.
25. 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.
26. 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)
27. 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

Sponsored Projects

1. Science and Engineering Research Board (SERB) Sponsored High-End workshop (KARYASHALA) on “Techniques and Applications of Hyperspectral Data Analytics” from 25^th July 2022 to 7^th August 2022. (Sanctioned Amount - INR 5,00,000), File No. SERB/F/2470/2022-2023 dated 04-Jul-2022, Status: Completed, Role: - Event Organizer
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." File No. DRIE/SMS/DRIE-21/2022-23/4067 from September 2022 to August 2024. (Sanctioned Amount - INR 5,00,000), Status: Ongoing, Role: - PI
3. Science and Engineering Research Board (SERB) Sponsored CRG entitled, “Microwave satellite data assimilation in Weather Research & Forecasting model through deep learning for improved forecasting of surface and sub-surface soil moisture conditions", File No. CRG/2022/006070, from March 2023 to February 2026. (Sanctioned Amount - INR 25,41,240/-), Status: Ongoing, Role: - Co-PI
4. Science and Engineering Research Board (SERB) Sponsored 4 weeks Training and Skill Internship (VRITIKA) on “Hyperspectral Data Analytics” from 3^rd July 2023 to 30^th July 2023. (Sanctioned Amount - INR 1,50,000.00), File No. SERB/F/1403/2023-2024 dated 22-May-2023., Status: Ongoing, Role: - Event Organizer
5. I-HUB QUANTUM TECHNOLOGY FOUNDATION, IISER) sponsored Chanakya UG Fellowship on “Quantum Machine Learning for hyperspectral Medical Image Processing” from 1^st February 2024 to 30^th June 2024. (Sanctioned Amount – INR 50,000.00), File No. I-HUB/UGF/B-3/2023-24/05 dated 02-Feb-2024., Status: Completed, Role: - Supervisor
6. One-day national workshop on “data analytics for efficient decision-making” in collaboration with the Administrative Staff College of India, Hyderabad on January 7, 2024., Status: Completed, Role: - Convener
7. Indian Council of Medical Research (ICMR) Sponsored Small Extramural Grant entitled “Development of a Robust Machine Learning Tool to Support Quick Malaria Detection and Parasite Stage Identification for Reducing Malaria Burden” from Feb 2025 to January 2028.  (Sanctioned Amount - INR 1,51,50,863), File No. IIRPSG-2024-01-01769 Status: Ongoing, Role: - Co-PI

Consultancy Projects

1. With Adrosonic IT Consultancy Pvt Ltd. for the execution of Digital Innovation Lab at CQEDS, BIT Mesra, Ranchi from 1^st March 2023 to 28^th February 2028 (Sanctioned Amount - INR 53,10,000.00)