Dr. Sandeep Dwarkanath Pande

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NAME :Dr. Sandeep Dwarkanath Pande
DESIGNATION : Associate Professor
QUALIFICATION : Ph. D. (Computer Science and Engineering), M.E. (Computer Science and Engineering)

  • Ph. D. (Computer Science and Engineering), KLEF, Vaddeswaram, (NAAC A++ Accredited), 2021.
  • ME (Computer Science and Engineering), BAMU, Aurangabad, 2012.
  • B.E (Information Technology), Pune University, 2009.

OVERVIEW OF PROFILE :

Dr. Sandeep Dwarkanath Pande is Associate Professor in the Department of Computer Engineering, MIT Academy of Engineering, Alandi, affiliated to Savitribai Phule Pune University. He received B.E in Information Technology with First class in 2009 from Pune university, M. E. in Computer Science & Engineering in 2012 from Govt. Engineering College Aurangabad, (Affiliated to BAMU, Aurangabad), and Doctor of Philosophy from KLEF Vaddeswaram, (NAAC A++ Accredited), Guntur, AP, India. He is a Senior Member IEEE. He is an Editorial Board member of ORESTA Scopus indexed Q1, and Machine Learning Applications in Engineering Education and Management journals. He is working as assistant editor for “The Mirror” journal of history. He is a member of International Technical Program Committee of Gautam Buddha University, Greater Noida. He is a reviewer of several IEEE, Springer, and Elsevier journals. He has guided 03 M. Tech and 62 B. Tech Project Group students. He is Co-Chair of Scopus Indexed International ETMDIT conference. He has worked as session chair in IEEE ICCUBEA 2023, and PuneCon 2024 Conferences. He has attended more than 70 Workshops, Symposiums and Seminars. He has conducted and acted as resource person for more than 10 International or National Conferences, Workshops, Symposiums and Seminars. He has an extensive research portfolio comprising over 60 publications in reputed international journals and conferences, including 14 SCIE-indexed and 16 Scopus-indexed journal articles, as well as 12 Scopus-indexed international conference papers. His scholarly contributions also include the authorship of one textbook, four book chapters, and two patents to his credit. Some of his publications are listed in digital libraries and Scopus, and Web of Science indexed journals such as IEEE Xplore, CSI, ACM, ScienceDirect, Springer, Springer Nature, Taylor and Francis, De Gruyter, and IGI Global. He is honored with the prestigious ERDA Excellence Award 2024 for Research during the ERDA Global Summit and Awards 2024 at Christ University, Delhi NCR, Saeedul Islam Memorial Researcher Award 2025 at Cinnamara Govt. College Jorhat Assam.

FORE FRONT AREA OF RESEARCH : Artificial intelligence, Machine learning, Image Processing, Data Science, Cloud Computing, Pattern Recognition, Natural language processing, and Cyber Security.
EMAIL ID : sandeep.pande@mitaoe.ac.in
CONTACT NO : 020-30253500

EXPERIENCE  : Teaching: 15, Industry: 02, Research: 7.5.

Research profile:


  • GATE 2009 Qualfied.
  • ERDA Excellence Award 2024 for Research during the ERDA Global Summit and Awards 2024 at Christ University, Delhi NCR,
  • Saeedul Islam Memorial Researcher Award 2025 at Cinnamara Govt. College Jorhat Assam

PUBLICATIONS :

A. INTERNATIONAL JOURNALS

  1. Pande, S.D., & Chetty, M.S.R. (2018). Analysis of Capsule Network (CapsNet) Architectures and Applications. Journal of Advanced Research in Dynamical and Control Systems, 10(10), 2765–2771.
  2. Pande, S.D., & Chetty, M.S.R. (2019). Position Invariant Spline Curve Based Image Retrieval Using Control Points. International Journal of Intelligent Engineering and Systems, 12(4), 177–191.
  3. Pande, S.D., & Chetty, M.S.R. (2019). Bezier Curve Based Medicinal Leaf Classification using Capsule Network. International Journal of Advanced Trends in Computer Science and Engineering, 8(6), 2735–2742.
  4. Pande, S.D., & Chetty, M.S.R. (2019). Linear Bezier Curve Geometrical Feature Descriptor for Image Recognition. Recent Patents on Computer Science, 12(1).
  5. Verma, H.K., Saini, A.K., Borgamwar, S., Pande, S.D., & Pandit, A. (2020). Food Packet Analyzer. International Research Journal of Engineering and Technology, 7(4), 4056–4063.
  6. Pande, S.D. et al. (2020). Assessment of Image Annotation Techniques and Recommendation of Neural Network. Multidisciplinary Journal of Research in Engineering and Technology, 7(2), 1–12.
  7. Pande, S.D. et al. (2020). CapsNet Based Approach to Generate Image Annotation. Multidisciplinary Journal of Research in Engineering and Technology, 7(4), 1–8.
  8. Pande, S.D., Chendake, P., Lohe, P., & Lokhande, P. (2021). Depression Detection Using Social Networking Sites via Data Mining. International Journal on Data Science and Machine Learning with Applications, 1(1), 17–22.
  9. Hawal, S., & Pande, S.D. (2021). Comprehensive Survey of Machine Learning Based Heart Disease Prediction at Early Stage. Journal of University of Shanghai for Science and Technology, 23(9), 1178–1181.
  10. Pande, S.D. et al. (2022). Digitization of Handwritten Devanagari Text Using CNN Transfer Learning – A Better Customer Service Support. Neuroscience Informatics, 2(3), 100016.
  11. Pande, S.D. et al. (2022). Fake News Identification Using Regression Analysis and Web Scraping. International Journal of Safety and Security Engineering, 12(3), 311–318.
  12. Pande, S.D. et al. (2022). Shape and Textural Based Image Retrieval Using K-NN Classifier. Journal of Intelligent & Fuzzy Systems, 43(4), 4757–4768.
  13. Ahammad, S.K.H. et al. (2022). Phishing URL Detection Using Machine Learning Methods. Advances in Engineering Software, 173, 103288.
  14. Pande, S.D. et al. (2022). Cognitive Computing-Based Network Access Control System in Secure Physical Layer. Research Journal of Computer Systems and Engineering, 3(1), 14–20.
  15. Pande, S.D., & Ahammad, S.K.H. (2021). Improved Clustering-Based Energy Optimization with Routing Protocol in Wireless Sensor Networks. Research Journal of Computer Systems and Engineering, 2(1), 33–39.
  16. Gayakwad, M. et al. (2023). Credibility Evaluation of User-Generated Content Using Novel Multinomial Classification Technique. IJRITCC, 10(2S), 151–157.
  17. Ahammad, S.H., Madhav, B.T.P., & Pande, S.D. (2023). Design and Analysis of Rule-Based Fuzzy Logic Controller for Performance Enhancement of the Sugarcane Industry. Operational Research in Engineering Sciences, 6(2), 386–400.
  18. Prakash, N.N. et al. (2023). A DenseNet CNN-Based Liver Lesion Prediction and Classification for Future Medical Diagnosis. Scientific African, 20, e01629.
  19. Pande, S.D. et al. (2023). Assessment and Recommendation of Neural Networks and Precise Techniques for Sentiment Systems Analysis. Journal of Ambient Intelligence and Humanized Computing, 14(8), 11285–11299.
  20. Saini, D.J.B. et al. (2023). Convolution Neural Network Model for Predicting Various Lesion-Based Diseases in Diabetic Macula Edema. Biomedical Signal Processing and Control, 86, 105180.
  21. Nagendram, S. et al. (2023). Stochastic Gradient Descent Optimisation for Convolutional Neural Network for Medical Image Segmentation. Open Life Sciences, 18(1), 317–324.
  22. Pande, S.D. et al. (2023). A Fuzzy-Based Slip Resistive Controller for Front Wheel Drive Autonomous Electric Vehicle. Electric Power Components and Systems, 51(16).
  23. Pande, S.D. et al. (2023). Depression Detection Based on Social Networking Sites Using Data Mining. Multimedia Tools and Applications, Springer.
  24. Sk, H.A. et al. (2023). Social Media Reviews Based Hotel Recommendation System Using Collaborative Filtering and Big Data. Multimedia Tools and Applications, Springer.
  25. Pande, S.D. et al. (2024). Assessment of Brain Tumor Detection Techniques and Recommendation of Neural Network. Biomedical Engineering/Biomedizinische Technik, 69(4), 395–406.
  26. Jadhav, P.P. et al. (2024). CSADF: Ingesting Cuckoo Search Optimization Algorithm Enabled with Fitness Function for Effective Model Transformation Pertaining to ADF. Multimedia Tools and Applications, 83(33), 79219–79234.
  27. Ahammad, S.H. et al. (2024). Design Analysis of Stroke Risk Prediction Model Employing Hybrid Deep Transfer Learning. Journal of The Institution of Engineers (India): Series B, 105(5), 1197–1206.
  28. Pande, S.D. et al. (2024). Real-Time Imbalance Liver Tumor Sensor Databases: A Deep Classification Framework. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 11–22.
  29. Pande, S.D. et al. (2024). An Automatic Multi-Variate Multi-Class Feature Extraction Framework for Multi-Class Liver Tumor Detection. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 48–61.
  30. Ahammad, S.H. et al. (2024). D-Impact of Various Strategies on the Author's Impact Score. Journal of Engineering Education Transformations, 31–43.
  31. Mune, S., & Pande, S.D. (2024). Social Distancing and Face Mask Detection Using GoogleNet. Grenze International Journal of Engineering and Technology, 10(2), 3555–3564.
  32. Bhute, A. et al. (2024). Acute Lymphoblastic Leukemia Detection Using an Ensemble of CNNs. International Journal of Intelligent Systems and Applications in Engineering, 12(1), 571–580.
  33. Bhute, H. et al. (2024). Equipment Usage Detection for Reducing Building Energy Demand. Journal of Electrical Systems, 20(3), 5839–5849.
  34. Pande, S.D. et al. (2025). Comparative Analysis of DCNN and HFCNN Based Computerized Detection of Liver Cancer. BMC Medical Imaging, 25(1), 37.
  35. Banchhor, C. et al. (2025). Integration of Software-Based Cognitive Approaches for Efficient Cognitive Computing. Neuroscience Informatics, 5(2), 100194.
  36. Pande, S.D. et al. (2025). A Novel Chatbot Driven by Sentiment Analysis Using Capsule Network and BiLSTM. IEEE Transactions on Consumer Electronics, IEEE.
  37. Hatte, P.R. et al. (2025). Innovative Approach of Learning Quality Management Course Contents Through Collaborative Learning. Journal of Engineering Education Transformations, 104–110.
  38. Prakash, N.N. et al. (2025). Multi-Class Liver Tumor Detection Through Ranking-Based Probabilistic Segmentation. International Journal of Environmental Sciences, 11(4), 1404–1412.
  39. Pande, S. D. (2022). Data Mining in Product Cycle Prediction of Company Mergers . International Journal of New Practices in Management and Engineering, 10(03), 01–05.

B. BOOK CHAPTERS

  • Pande, S.D., & Chetty, M.S.R. (2021). Fast Medicinal Leaf Retrieval Using CapsNet. In Intelligent and Smart Computing in Data Analytics (Springer, Singapore).
  • Pande, S.D. et al. (2022). CapsNet and KNN-Based Earthquake Prediction Using Seismic and Wind Data. In Computer Vision and Internet of Things (Chapman & Hall/CRC).
  • Kasi, U.K. et al. (2023). Smart Weapon Detection System Using Thermal Imaging Through Machine Learning Algorithms. In Recent Developments in Machine and Human Intelligence (IGI Global).
  • Das, S. et al. (2024). Exploring the Dynamics of PBL-Based Learning: A Study on Collaboration, Reflection, Engagement, and Critical Thinking. In HELLO: Design and Implementation of Higher Education Learners’ Learning Outcomes (IGI Global).C.

C. INTERNATIONAL CONFERENCES

  • Pande, S.D., & Dahiwal, M. (2011). Content-Based Image Retrieval. International Conference on Advanced Computing, Communication and Networks (ICACCN 2011).
  • Dahiwal, M., & Pande, S.D. (2012). Intrusion Detection System Using Genetic Algorithm. International Conference on Computer Science & Engineering (ICCSE 2012).
  • Pande, S.D. et al. (2019). Precise Approach for Modified 2-Stage Algorithm to Find Control Points of Cubic Bezier Curve. IEEE ICCUBEA 2019.
  • Pande, S.D. (2021). A Review on Viable Applications of Trends in Reconfigurable Computing. Engineering and Technology Conference Proceedings, 1, 13–18.
  • Saini, D.K.J.B. et al. (2023). Grading of Fruit Ripeness Using Arduino in IoT. IEEE ICSEIET 2023, 184–188.
  • Pande, S.D. et al. (2023). Design of Atmel PLC and Its Application as Automation of Coal Handling Plant. IEEE ICSEIET 2023, 178–183.
  • Tadas, D. et al. (2023). Development of Secured Blockchain and Cryptocurrency Decentralized Application. AIP Conference Proceedings, 2938(1), 040009.
  • Agrawal, S. et al. (2023). Mood-Based Song Recommendation System Using CNN. AIP Conference Proceedings, 2938(1), 030003.
  • Gouram, S. et al. (2024). Development of IoT-Based Smart Street Lighting System. IEEE INNOVA 2024, 1–5.
  • Bhosale, A. et al. (2025). Modular Approaches to Complex Reasoning in Visual Question Answering Systems. IEEE ISACC 2025, 188–194.
  • Rakesh, A. et al. (2025). Fault Identification of Induction Motor Using Machine Learning. IEEE ICISC 2025, 1872–1877.D.