Dr. Sandeep Dwarkanath Pande

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NAME : Dr. Sandeep Dwarkanath Pande
DESIGNATION : Associate Professor
QUALIFICATION :

  • Ph. D. (Computer Science and Engineering), KLEF Deemed to be University, Vaddeswaram, Andhra Pradesh (NAAC A++ Accredited), 2021. Thesis: Design and Implementation of an Integrated Framework for Medicinal Leaf Retrieval and Classification based on Bezier Curves using Machine Learning Approach.
  • ME (Computer Science and Engineering), Government Engineering College Aurangabad (BAMU), 2012
  • B.E (Information Technology), PDVVP College of Engineering, Ahmednagar (Pune University), 2009

OVERVIEW OF PROFILE:

Dr. Sandeep Dwarkanath Pande is Associate Professor in the Department of Computer Engineering, MIT Academy of Engineering, Alandi, Pune, affiliated to Savitribai Phule Pune University. He received his Bachelor of Engineering in Information Technology from Pune University in 2009, Master of Engineering in Computer Science and Engineering from Government Engineering College Aurangabad (BAMU) in 2012, and Doctor of Philosophy in Computer Science and Engineering from KLEF Deemed to be University, Vaddeswaram, Andhra Pradesh, in 2021.

He is a Senior Member of IEEE and has 15+ years of teaching and industrial experience. He is an Editorial Board member of ORESTA (Scopus indexed, Q1), Machine Learning Applications in Engineering Education and Management, and International Journal of Communication Networks and Information Security, and assistant editor of “The Mirror” journal of history.

He is a member of the International Technical Program Committee of Gautam Buddha University, Greater Noida, and a reviewer for several IEEE, Springer and Elsevier journals. He is Co-Chair of the Scopus indexed International ETMDIT conference and has worked as session chair at IEEE ICCUBEA 2023 and PuneCon 2024.

He has guided 02 M.Tech and 62 B.Tech project groups, attended more than 70 workshops, symposiums and seminars, and acted as resource person for more than 10 international and national conferences, workshops, symposiums and seminars. He has published more than 52 papers in reputed international journals and conferences, including 13 SCIE and 15 Scopus indexed journal papers and 9 Scopus indexed international conference papers, along with 03 textbook, 05 book chapters and 02 published Indian patents to his credit. His publications appear in IEEE Transactions, CSI, ACM, ScienceDirect, Springer, Springer Nature, Taylor & Francis, De Gruyter and IGI Global venues. His Google Scholar h-index is 15.

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
MOBILE NUMBER : +91 7972216211
EXPERIENCE : Teaching: 15 years (PICT Pune 2011–2018; DYPIT Pimpri 2018–2022; MITAOE since 2022), Industry: 2 years (Isolver Technologies, Aurangabad, 2009–2011), Research: 7.5 years.

Research Profile:


AWARDS AND ACHIEVEMENTS:

  • GATE 2009 qualified (Score 86.39).
  • ERDA Excellence Award 2024 for Research, ERDA Global Summit and Awards 2024, Christ University, Delhi NCR.
  • Saeedul Islam Researcher Award (2025), Mohan Chandra Mahanta Adhyayan Gobesona Kendra, in collaboration with Cinnamara College and Auniati University, Jorhat, Assam.
  • International Interdisciplinary Research Trailblazer Award 2026, conferred by The International Institute of Organized Research (I2OR).
  • Senior Member, IEEE.

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.
  40. Pande, S.D. et al. (2023). Development in Intelligent Autonomous Agents for the High-Level Cognitive Functions like Reasoning, Planning, Learning and Abstraction. Journal of Interdisciplinary Mathematics, Taylor & Francis.
  41. Pande, S.D. et al. (2022). Natural Language Processing Based on Name Entity with N-Gram Classifier Machine Learning Process Through GE-Based Hidden Markov Model. Machine Learning Applications in Engineering Education and Management.
  42. Pande, S.D. et al. (2024). Analysis of Current Advancement in 3D Point Cloud Semantic Segmentation. EAI Endorsed Transactions on Internet of Things.
  43. Pande, S.D. et al. (2025). Cloud-Based Enterprise Data Quality Optimization Using Semantic Validation and DataOps Pipeline Automation. International Journal of Technology, Management and Humanities.
  44. Pande, S.D. et al. (2026). An Efficient Alzheimer’s Disease Detection by NV Classifier with BWTDL Approach Using MRI Image. BMC Medical Imaging, Springer.
  45. Pande, S.D. et al. (2026). Plant Leaf Disease Detection Using Machine Learning and Deep Learning: A Review and Experimental Study. Journal of Intelligent Decision Making and Information Science.
  46. Pande, S.D. et al. (2026). A Cognitive Fuzzy-Analytic Hierarchy Process and Semantic Reasoning Framework for Human-like Intelligence in HR Performance Evaluation. Journal of Communications Software and Systems.

B. BOOKS / BOOK CHAPTERS

  1. Pande, S.D., & Chetty, M.S.R. (2021). Fast Medicinal Leaf Retrieval Using CapsNet. In Intelligent and Smart Computing in Data Analytics (Springer, Singapore).
  2. 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).
  3. 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).
  4. Das, S. et al. (2024). Exploring the Dynamics of PBL-Based Learning: A Study on Collaboration, Reflection, Engagement, and Critical Thinking, and Student Success. In HELLO: Design and Implementation of Higher Education Learners’ Learning Outcomes (IGI Global).
  5. Pande, S.D. et al. (2026). Wages Authentication System for Labor's Welfare. In Emerging Trends in Machine Learning, Data Science, and Internet of Things (Part 2) (Bentham Science).

C. INTERNATIONAL CONFERENCES

  1. Pande, S.D., & Dahiwal, M. (2011). Content-Based Image Retrieval. International Conference on Advanced Computing, Communication and Networks (ICACCN 2011).
  2. Dahiwal, M., & Pande, S.D. (2012). Intrusion Detection System Using Genetic Algorithm. International Conference on Computer Science & Engineering (ICCSE 2012).
  3. Pande, S.D. et al. (2019). Precise Approach for Modified 2-Stage Algorithm to Find Control Points of Cubic Bezier Curve. IEEE ICCUBEA 2019.
  4. Pande, S.D. (2021). A Review on Viable Applications of Trends in Reconfigurable Computing. Engineering and Technology Conference Proceedings, 1, 13–18.
  5. Saini, D.K.J.B. et al. (2023). Grading of Fruit Ripeness Using Arduino in IoT. IEEE ICSEIET 2023, 184–188.
  6. Pande, S.D. et al. (2023). Design of Atmel PLC and Its Application as Automation of Coal Handling Plant. IEEE ICSEIET 2023, 178–183.
  7. Tadas, D. et al. (2023). Development of Secured Blockchain and Cryptocurrency Decentralized Application. AIP Conference Proceedings, 2938(1), 040009.
  8. Agrawal, S. et al. (2023). Mood-Based Song Recommendation System Using CNN. AIP Conference Proceedings, 2938(1), 030003.
  9. Gouram, S. et al. (2024). Development of IoT-Based Smart Street Lighting System. IEEE INNOVA 2024, 1–5.
  10. Bhosale, A. et al. (2025). Modular Approaches to Complex Reasoning in Visual Question Answering Systems. IEEE ISACC 2025, 188–194.
  11. Rakesh, A. et al. (2025). Fault Identification of Induction Motor Using Machine Learning. IEEE ICISC 2025, 1872–1877.
  12. Pande, S.D. et al. (2026). Development of Control Strategy for an Energy Efficient Heating Ventilation and Air Conditioning System. 2025 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), Kolhapur.
  13. Pande, S.D. et al. (2026). Design of Dynamic Wireless Power Transfer System for Electric Vehicle. 2025 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), Kolhapur.
  14. Pande, S.D. et al. (2026). A Relative Analysis of Enhanced Machine Learning Algorithm SVM & Decision Tree to Predict Smart Grid Stability. 2025 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS), Kolhapur.

D. NATIONAL CONFERENCES

E. PATENT DETAILS:

  1. Prediction and Recommendation System Using Seismic Waves and Wind Map Analysis for Architectural Development. Indian Patent (Published), File No. 202241059985 A, published on 28/10/2022.
  2. RNA & Micro-Climatic Condition Based Yield & Growth Prediction of Crops Using IoT & Reinforced Machine Learning. Indian Patent (Published), File No. 202521040357 A, published on 04/07/2025.