Birla Institute of Technology, Mesra
Faculty Image

Manish K Pandey

Joined Institute on : 20-Sep-2021

  • Assistant Professor & Head
  • CQEDS
  • Ph.D. (Computer Science)
Contact Address

QEDS, Birla Institute of Technology, Mesra, Ranchi, Jharkhand-835215

QEDS, Birla Institute of Technology, Mesra, Ranchi, Jharkhand-835215

  • Phone Office - 7388140147
  • Phone Residence - 7388140147
  • Email - manishkpandey@bitmesra.ac.in
Work Experience

Teaching : 6 Years

Research : 15 Years

Individual: 18.5 Years
Professional Background

Dr. Manish Kumar Pandey is an Assistant Professor and Head of the Department of Quantitative Economics and Data Science (QEDS) at BIT Mesra, with over 18 years of combined academic, research, and industrial experience in Artificial Intelligence, Quantum Computing, Data Science, Hyperspectral Remote Sensing, Climate Analytics, Healthcare AI, Financial Analytics, Optimization, and Explainable AI. He earned his Ph.D. in Computer Science from Banaras Hindu University (BHU), where his doctoral research focused on SMAC (Social, Mobility, Analytics, and Cloud) technologies, distributed systems, and large-scale data analytics.  

A distinguishing feature of Dr. Pandey's career is his success in securing competitive research and innovation funding. He has mobilized research and consultancy funding exceeding ?1.9 crore as Principal Investigator (PI), Co-Principal Investigator (Co-PI), and Project Lead from prestigious national funding agencies and industry partners, including the Science and Engineering Research Board (SERB), Indian Council of Medical Research (ICMR), Indian Space Research Organisation (ISRO), I-HUB Quantum Technology Foundation, Jharkhand Council on Science, Technology and Innovation (JCSTI), Birla Institute of Technology, CSR foundations, and industry collaborators. His funded research spans AI-enabled healthcare diagnostics, climate and environmental intelligence, remote sensing, quantum machine learning, ESG risk analytics, precision agriculture, sustainable development, and decision intelligence, reflecting a strong emphasis on translational and interdisciplinary research.

Dr. Pandey has also played a pioneering role in establishing advanced research infrastructure at BIT Mesra. He established the Advanced Data Science Laboratory with funding support from the State Bank of India (SBI) to promote interdisciplinary research in Artificial Intelligence, Machine Learning, Data Analytics, Financial Analytics, and Responsible AI. In addition, he serves as the Principal Investigator of the Adrosonic Digital Innovation Lab, an industry-supported research facility fostering innovation, collaborative research, technology development, and industry–academia partnerships in AI and data science.

Committed to research capacity building, Dr. Pandey has successfully organized several prestigious national programmes, including SERB KARYASHALA, SERB-VRITIKA, faculty development programmes, workshops, and specialized training programmes on Artificial Intelligence, Data Science, Quantum Computing, and Hyperspectral Remote Sensing. He has delivered numerous keynote addresses, invited talks, and expert lectures at national and international conferences, universities, research organizations, and government institutions.

Before joining academia, Dr. Pandey worked as a Project Engineer at Wipro Technologies, where he contributed to enterprise-scale software development for Cisco Systems and telecommunications platforms, gaining valuable experience in enterprise software engineering, distributed computing, and scalable analytics.

At BIT Mesra, Dr. Pandey provides academic and research leadership through curriculum development, sponsored research management, laboratory establishment, innovation ecosystems, institutional governance, interdisciplinary collaborations, accreditation initiatives, and national ranking activities. His efforts have significantly strengthened the University's ecosystem for AI, data science, and emerging technologies.

Dr. Pandey's long-term research vision is centered on "AI for All"—developing trustworthy, interpretable, scalable, and socially responsible Artificial Intelligence systems that accelerate scientific discovery and support evidence-based decision-making across healthcare, climate resilience, agriculture, finance, environmental sustainability, smart infrastructure, and public policy. Through his research, leadership, and capacity-building initiatives, he continues to contribute toward creating impactful AI technologies that advance sustainable development and inclusive innovation.
Research Areas
  • Artificial Intelligence
  • Quantum Computing
  • Data Science
  • Hyperspectral Remote Sensing
  • Climate Analytics
  • Healthcare AI
  • Financial Analytics
  • Optimization, and
  • Explainable AI
Award and Honours
  • Delivered an Invited Talk as Keynote speaker entitled “From Data to Intelligence: AI, Data Science and Emerging Technologies for the Future of Industry? ?” in the DATA VERSE 2026, a 2-Day Data Science & AI Bootcamp at Amity University BIT Patna ACM Student Chapter Online Workshop? from 7th -8th September 2026.
  • Delivered an Invited Talk entitled “From Data to Intelligence: Generative AI, Multimodal Learning and Quantum Computing for Real-World Applications?” in the BIT Patna ACM Student Chapter Online Workshop? on 25th August 2026.
  • Delivered an Invited Talk as Keynote speaker entitled “The Future-Ready Learner: From Computational Thinking to Responsible AI ?” in the Regional Workshop on Computational Thinking and AI ?by Centre of Excellence, CBSE Patna on 22nd August 2026. ?
  • Delivered an Invited Talk as Distinguished speaker entitled “From Spectra to Decisions: ?Introduction to Hyperspectral Data??” in the Online mode short-term course (ID-7) on ?"Intelligent Computing Tools for Engineering Applications" (Interdisciplinary) ?from 10th-14th August 2026.
  • Delivered an Invited Talk as Distinguished speaker entitled “AI tools for Hyperspectral Data Analysis???” in the Online mode short-term course (ID-7) on ?"Intelligent Computing Tools for Engineering Applications" (Interdisciplinary) ?from 10th-14th August 2026.
  • Judged the Regional Deliberations on Computational Thinking and AI ?by DPS Bokaro on 8th August 2026. ?
  • Delivered an Invited Talk entitled “From Spectra to Decisions: A Unified Statistical–Machine Learning Framework for Hyperspectral Intelligence?” in the International Workshop on Emerging Trends in Statistical & Machine Learning ETSML 26? from 6th July to 10th July 2026.
  • Delivered an Invited Talk as Distinguished speaker entitled “Agentic Artificial Intelligence: Transforming Intelligent Systems through Autonomous Reasoning, Decision-Making, and Human-Centric Innovation?” in the International Conference on Network Intelligence and Emerging Computational Paradigms – 2026 (ICNIECP-2026)? on 11th July 2026.
  • Delivered an Invited Talk entitled “Introduction to AI and Digital Transformation in Mining?” in the One-Week Short Term Course on AI, Automation and Digitalization in Mining Industry, ? organized by Department of Mining Engineering?, Jharkhand Rai University, Ranchi? on 15th June 2026.
  • Delivered an Invited Talk entitled “Introduction to Quantum Computing” in the National Level 3-Day Online Workshop on “Qubits to Code: Empowering Educators in Quantum Computing”, organized by the Department of Computer Science and Engineering, SRM University from 25th -27th May 2026.
  • Delivered an Invited Talk entitled “Quantum Computing ?in Health care?” in the National Level Workshop on “Real World Applications of Quantum Computing Across Industries”, organized by The Grover Centre of Quantum Technology, Rajalakshmi Institute of Technology, Chennai on 10th January 2026.
  • Attended NISAR User Meet at Space Application Centre, ISRO on 27th March 2026.
  • Delivered an Invited Talk entitled “Big Data Analytics using AI/ML” in the National Workshop on “AI and Big Data Applications for Environmental Management (BigAI-Environ)” from 10-12 March 2026.
  • Delivered an Invited Talk entitled “Harnessing AI/ML for Predictive Yield Modeling in DSR” in the Global DSR Conclave organized by The International Rice Research Institute (IRRI) from 05-07 October 2025.
  • Participated in the Panel Discussion on Artificial Intelligence in Education at the 1st Annual Conference of Ranchi Sahodaya School Complex 2025-SYNERGY on 23rd February 2025 at Chanakya BNR Hotel. Ranchi.
  • Delivered an Invited Talk entitled “Basics of Artificial Intelligence & Machine Learning” in the National Workshop on SAR Data Analysis for the Assessment of Vegetation Conditions organized by the Institute of Environment & Sustainable Development, Banaras Hindu University from 7th February 2025-9th February 2025.
  • 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 the 5-Day Faculty Development Program (FDP) on AI-ML for Beginners: A Project-Based Approach organized by University Polytechnic, BIT Mesra from 16th December 2024-20th December 2024.
  • Participated as Principal Rapporteur in the 23rd Annual Conference of Social Science Institutions (IASSI) organized by Birla Institute of Technology, Mesra and Institute for Human Development- Eastern Regional Centre, Ranchi held during 25-27 October 2024.
  • Resource Person in Summer School 2024 entitled “Data Structure and Algorithm Design” held at Birla Institute of Technology, Mesra between 5th June to 30th June 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 7th December 2023 to 20th December 2023.
  • Delivered a talk in live career guidance programme titled " Aur bhi hain rahein", on telecasted live on DD Jharkhand dated 25th 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.
Publications

Research Publication in Journals

  1. Pandey, M. K., & Subbiah, K. (2026). Enhancing Financial Services Sustainability through Improved Predictive and Preventive Analytic Techniques on Defaults Made by Customers Using Optimally Balanced Dataset. Applied and Computational Mathematics – Applications in Finance and Data Science. eBook ISBN 978-981-92-4043-2
  2. Maurya, N.K., Pandey, M.K. Elevation-dependent warming in the Western Himalayas: A 124-year gridded temperature analysis. Theor Appl Climatol 157, 411 (2026). https://doi.org/10.1007/s00704-026-06347-z (I.F. 3.2)
  3. Ashish, A., Mishra, S., Pandey, M.K. et al. Systematic review of urban green space strategies for microclimate regulation and urban heat island mitigation in central business districts. Discov Sustain (2026). https://doi.org/10.1007/s43621-026-03354-y (I.F. 3.2)
  4. Prajakti, Manish Kumar Pandey, Kunal Mukhopadhyay, Plasmid-borne multidrug resistance genes in environmental isolates from hospital effluent: Implications for resistance dissemination, Science of The Total Environment, Volume 1015, 2026, 181407, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2026.181407.(I.F. NA)
  5. Moumita Roy Chowdhury, Dhananjay Kumar, Manish Kumar Pandey, Shailendra Kumar Jha, Manish Kumar, Kunal Mukhopadhyay, Identification of long non-coding RNA from transcriptome data of leaf rust infected wheat (Triticum aestivum L.) and revealing their interaction with microRNAs and mRNAs, South African Journal of Botany, Volume 187,2025, Pages 177-187,ISSN 0254-6299, https://doi.org/10.1016/j.sajb.2025.10.032. (I.F. 2.7)
  6. 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 (I.F. 9.8)
  7. 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. 3.5)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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)
  20. 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)
  21. 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)
  22. 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)
  23. 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)
  24. 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)
  25. 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)
  26. 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)
  27. 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)
  28. 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.
  29. 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.
  30. 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)
  31. 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. Jaiswal, R., Pandey, M. K., and Verma, S.: Fluxes, Feedbacks, and Memory: Untangling Chamoli’s Seasonal Land–Atmosphere Coupling, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-700, https://doi.org/10.5194/egusphere-egu26-700  
  2. P. Surydhwaj and M. K. Pandey, "Explainability of Encoder-Based LLMs in Medical Text Classification," 2025 International Conference on Communication and Smart Devices (ICCoSD), Ranchi, India, 2025, pp. 1-6, https://doi.org/10.1109/ICCoSD66074.2025.11348575
  3. B. Mahto and M. Kumar Pandey, "Vision Transformer-Driven Brain Tumor Identification with Local Interpretable Model Explanations," 2025 International Conference on Communication and Smart Devices (ICCoSD), Ranchi, India, 2025, pp. 1-6, https://doi.org/10.1109/ICCoSD66074.2025.11348607
  4. Sharma, N., and  Kumar Pandey, Manish*, "Integrative Approaches for Skin Cancer Detection and Classification: A Dual Modal Analysis", medRxiv 2025.08.22.25334277; doi: https://doi.org/10.1101/2025.08.22.25334277.
  5. Sharma, N., and  Kumar Pandey, Manish*, "Classification and Identification of Malware Families Using Deep Learning Techniques", 2nd Annual QEDS Conference 2025, 13–15 February 2025,Accepted at AACM-2025.
  6. Kumar Pandey, Manish*, S. Karthikeyan, " Enhancing Financial Services Sustainability through Improved Predictive and Preventive Analytic Techniques on Defaults Made by Customers Using an Optimally Balanced Dataset", 2nd Annual QEDS Conference 2025, 13–15 February 2025,Accepted at AACM-2025.
  7. R. Jaiswal, H. Shekhar, M. K. Pandey and S. Verma, "Urban Growth and Air Quality: Tracking PM2.5 Changes Over Two Decades," IGARSS 2025 - 2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 3495-3499, https://doi.org/10.1109/IGARSS55030.2025.11242470  
  8. 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.
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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. Neeraj K. Maurya, Manish K. Pandey, Chapter 13 - Application of machine learning in forest monitoring: recent progress and future challenges, Editor(s): Pavan Kumar, Prashant K. Srivastava, Mohammed Latif Khan, Ayyanadar Arunachalam, Parth Sarathi Roy, Kireet Kumar, In Earth Observation, Advanced Geospatial and Ground Based Techniques in Forest Monitoring, Elsevier, 2026, Pages 273-299, ISBN 9780443189494, https://doi.org/10.1016/B978-0-443-18949-4.00006-3.
  2. 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
  3. 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.
  4. 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
  5. 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
  6. 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

 
Member of Professional Bodies
  • Life Member, Indian Society of Remote Sensing (ISRS) (L-6302)
  • Member, The international society for optics and photonics (SPIE) (5495127)
  • Member, Institute of Electrical and Electronics Engineers (IEEE) (97013536)
Current Sponsored Projects

Sponsored Projects

  1. Science and Engineering Research Board (SERB) Sponsored High-End workshop (KARYASHALA) on “Techniques and Applications of Hyperspectral Data Analytics” from 25th July 2022 to 7th August 2022. (Sanctioned Amount - INR 5,00,000), File No. SERB/F/2470/2022-2023 dated 04-Jul-2022, Status: Completed, Role: - Event Organizer [9374]
  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 a 4-week training and Skill Internship (VRITIKA) on “Hyperspectral Data Analytics” from 3rd July 2023 to 30th 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 [9450]
  5. I-HUB QUANTUM TECHNOLOGY FOUNDATION, IISER) sponsored Chanakya UG Fellowship on “Quantum Machine Learning for hyperspectral Medical Image Processing” from 1st February 2024 to 30th 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 [9506]
  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 72,61,158), File No. IIRPSG-2024-01-01769 Status: Ongoing, Role: - Co-PI [9551]
  8. Asha & Sajjan Agarwal Foundation Sponsored CSR Grant entitled “Development of Machine Learning Tool for Reducing Exposure to ESG (Environmental, Social, and Governance) Risks” from July 2025 to June 2027.  (Sanctioned Amount - INR 17,91,160.00), File No. ASA /BIT /2025-26 Status: Ongoing, Role: - PI [11682, 11683]
  9. ISRO Sponsored Grant entitled “Crop Characterization using Multi-polarization L and S Bands and Biomass Estimation using Novel Deep Learning Algorithms” from Feb 2026 to Jan 2029.  (Sanctioned Amount - INR 28,47,000.00), Status: Accepted, Role: - PI [09627]
  10. JCSTI Sponsored Long Term Grant entitled “AI-Driven Bamboo Value Chain Optimisation for Sustainable Development and Inclusive Growth in Jharkhand” from Feb 2026 to Jan 2029.  (Sanctioned Amount - INR 4,40,000.00), Status: Accepted, Role: - Co-PI []
  11. E&ICT Academy, NIT Patna Sponsored Faculty Development Program on “Artificial Intelligence for Hyperspectral Data Analytics” from 8th June 2026-12th June 2026 (Sanctioned Amount - INR 3,20,000), File No. SERB/F/2470/2022-2023 dated 04-Jul-2022, Status: Completed, Role: - Event Organizer

         Consultancy Projects

  1. Adrosonic IT Consultancy Pvt Ltd. Sponsored Digital Innovation Lab at CQEDS, BIT Mesra, Ranchi from 1st March 2024 to 30th September 2025 (Sanctioned Amount - INR 22,59,074.9) [11675] PI [5764]
  2. Adrosonic IT Consultancy Pvt Ltd. Sponsored Digital Innovation Lab at CQEDS, BIT Mesra, Ranchi from 1st October 2025 to 31st March 2026 (Sanctioned Amount - INR 8,41,895.00) [11675] PI [5764]
  3. Adrosonic IT Consultancy Pvt Ltd. Sponsored Digital Innovation Lab at CQEDS, BIT Mesra, Ranchi from 1st April 2026 to 31st July 2026 (Sanctioned Amount - INR 6,82,759.00) [11675] PI [5764]
Fellow

Fellow, The Institution of Electronics and Telecommunication Engineers (F-508161) 
Member, Editorial Board

Associate Member, Cogent Economics & Finance