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Assist Prof Dr.ANKUSH SAWARKAR | Artificial Intelligence | Excellence in Research

Assist Prof Dr. ANKUSH SAWARKAR,Shri Guru Gobind Singhji Institute of Engineering and Technology (SGGSIET), Nanded, India.

Dr. Ankush D. Sawarkar is an Assistant Professor at Shri Guru Gobind Singhji Institute of Engineering and Technology (SGGSIET) in Nanded, India. With over 11 years of experience in academia and industry, he specializes in Machine Learning, Deep Learning, and Bioinformatics. He earned his Ph.D. from VNIT Nagpur, where his research focused on the classification of bamboo species using advanced machine learning techniques. Dr. Sawarkar has a strong programming background in languages like Python and C and has published numerous articles in reputable journals. His commitment to education and research continues to influence the field of information technology.

Summary:

Assistant Prof. Dr. Ankush Sawarkar stands out as a strong candidate for the Excellence in Research Award due to his extensive experience, innovative research contributions, and technical expertise in Machine Learning and Deep Learning. His work not only advances AI technology but also addresses environmental concerns, making it relevant and impactful.

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Sawarkar earned his Ph.D. in Computer Science and Engineering from Visvesvaraya National Institute of Technology (VNIT) Nagpur, focusing on machine learning and deep learning for bamboo species classification. He holds an MTech in Computer Network and Information Security from Shri Guru Gobind Singhji Institute of Engineering and Technology, and a Bachelor of Engineering in Computer Science from Priyadarshini Bhagwati College of Engineering.

🏢 Experience:

With over 11 years of experience, Dr. Sawarkar has served as an Assistant Professor at Shri Guru Gobind Singhji Institute of Engineering and Technology, teaching subjects related to machine learning, data structures, and algorithms. His previous roles include facilitating lectures on AI and machine learning at Regenesys Business School, as well as teaching positions at top Indian institutes like NIT Warangal and VNIT Nagpur. He has also gained industry experience as a project trainee at Tata Consultancy Services.

 

🛠️Skills:

Dr. Ankush D. Sawarkar possesses extensive technical skills including proficiency in programming languages such as C, Python, R, and Java. He is well-versed in machine learning and data science libraries such as Sklearn, Pandas, and TensorFlow, and has experience with databases like MySQL and Oracle. His software tool expertise includes MATLAB, Tableau, and Jupyter, alongside documentation tools like LaTeX and Mendeley.

Research Focus :

Dr. Sawarkar’s research primarily revolves around machine learning, deep learning, and bioinformatics, particularly in the context of bamboo classification and sustainable agricultural practices. His PhD work involved developing machine learning models for the classification of commercial bamboo species using DNA barcoding, contributing to the fields of environmental science and genomics.

🔬Awards:

Ankush D. Sawarkar has received several prestigious honors and awards throughout his academic and professional journey. Since January 2020, he has had the opportunity to work as a researcher at the CSIR-National Environmental Engineering Research Institute (NEERI) in Nagpur, India, which is recognized among the world’s top 100 institutions. In July 2019, he qualified for the GATE-2019 exam with a score of 437, earning a Teaching Assistant Scholarship for his Ph.D. program from the Ministry of Human Resource Development, Government of India. Additionally, he achieved an impressive 99.51 percentile in the UGC-NET-2018 exam, qualifying for both Junior Research Fellowship (JRF) and Assistant Professor roles. Earlier in his academic career, he also qualified for the GATE-2017 exam with a score of 365 and received a scholarship for his Master of Technology program after qualifying for GATE-2011.

Conclusion:

Dr. Sawarkar’s impressive academic and professional background, coupled with his commitment to research and education, positions him as a deserving candidate for the Excellence in Research Award. By focusing on publication efforts and interdisciplinary collaborations, he can further solidify his impact in the field of artificial intelligence and contribute meaningfully to both academia and society.

 

Publications :
  • Sawarkar, A. D., Shrimankar, D. D., & Singh, L. (2021). “Bamboo Plant Classification Using Deep Transfer Learning with a Majority Multiclass Voting Algorithm.” Applied Science, MDPI. [SCIE-2.9]
  • Sawarkar, A. D., Shrimankar, D. D., Kumar, M., Kumar, P., Kumar, S., & Singh, L. (2021). “Bamboos as a cultivated medicinal grass for industries: A systematic review.” Industrial Crop and Products, Elsevier. [SCIE-6.6]
  • Sawarkar, A. D. & Shrimankar, D. (2023). “Bamboo as a sustainable crop for land restoration in India: challenges and opportunities.” Environment, Development and Sustainability. Springer [SCIE, IF 4.9]
  • N. Ghodichor, D. Sahu, G. Borkar, A. Sawarkar (2023). “Secure Routing Protocol To Mitigate Attacks By Using Blockchain Technology In MANET.” arXiv preprint arXiv:2304.04254
  • M. Kumar, S. Sridharan, A. D. Sawarkar, A. Shakee (2023). “Current research trends on emerging contaminants pharmaceutical and personal care products (PPCPs): A comprehensive review.” Science of The Total Environment, Elsevier. [SCIE-9.8]
  • A. R. Durge, D. D. Shrimankar, A. D. Sawarkar (2022). “Heuristic Analysis of Genomic Sequence Processing Models for High Efficiency Prediction: A Statistical Perspective.” Current Genomics, Springer [SCIE, IF 3.9]
  • P. Fuke, M. Kumar, A. D. Sawarkar, A. Pandey, L. Singh (2022). “Role of microbial diversity to influence the growth and environmental remediation capacity of bamboo: a review.” Industrial Crop and Products, Elsevier. [SCIE-6.6]
  • M. Kumar et al. (2021). “A critical review on biochar for enhancing biogas production from anaerobic digestion of food waste and sludge.” Journal of Cleaner Production, Elsevier. [SCIE-11.1]
  • Sawarkar, A. & D. Shrimankar (2021). “Traditional System Versus DNA Barcoding in Identification of Bamboo Species: A Systematic Review.” Molecular Biotechnology. Springer [SCIE, IF 2.86]
  • Mahule, A., Sawarkar, A. D., Pakle, G., & Singh, L. (2024). “AquaBamboo Data-Driven Suggested System for Water Management and Sustainable Growth of Bamboo: A Review.” Advances in Bamboo Science, Elsevier.
  • Kumar, M., Bhujbal, S. K., Kohli, K., A. D. Sawarkar, Pande, A. (2024). “A review on value-addition to plastic waste towards achieving a circular economy.” Science of The Total Environment, Elsevier. [SCIE-9.8]
  • Maddalwar, S., Kumar, T., Tijare, G., Agashe, A., Sawarkar, A. D., & Singh, L. (2024). “A global perspective on a bioengineering approach to landslide mitigation using bamboo diversity.” Advances in Bamboo Science, Elsevier.
ANKUSH SAWARKAR| Artificial Intelligence | Excellence in Research

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