Suresh Dara

About

Dr. Suresh Dara is a distinguished academic and researcher in the field of Computer Science and Engineering. With over 14 years of experience, he has made significant contributions to both academia and research. Dr. Dara's educational background includes a Ph.D. in Computer Science & Engineering from the prestigious Indian Institute of Technology (Indian School of Mines) in Dhanbad, India, along with master's degrees in Computer Science & Technology and Computer Science.

His research interests encompass a wide spectrum of cutting-edge domains, such as Artificial Intelligence, Machine Learning, Soft Computing, Data Mining, Industrial IoT, Bioinformatics, and Data Science. Dr. Dara's expertise is further augmented by his continuous pursuit of learning, as demonstrated by his certifications, including Microsoft Technology Associate and completion of NPTEL courses.

Throughout his career, Dr. Dara has been actively engaged in teaching and research. He has held prominent academic positions, including serving as a Professor and Head in the Department of Computer Science and Engineering at PACE Institute of Technology. His teaching portfolio includes a diverse range of subjects, such as Artificial Intelligence, Data Mining, Machine Learning, Compiler Design, OOP through JAVA, and more.

In addition to his instructional roles, Dr. Dara has taken on significant administrative responsibilities. He has led departments, coordinated curriculum development, and played integral roles in quality assessment and enhancement initiatives. He has been involved in various capacities in institutions like VIT-AP University, PACE IT&S, B.V. Raju Institute of Technology, DIT University, and Malla Reddy College of Engineering for Women.

Dr. Dara's research impact is evidenced by his numerous publications in esteemed journals, including SCIE such as IEEE Transactions and SCOPUS-indexed journals, and his participation in international conferences. He has authored books and book chapters, showcasing his depth of knowledge and expertise. His research has also led to the filing of patents, reflecting his innovative contributions to the field, particularly in IoT and Medical Data Mining.

Furthermore, Dr. Dara's commitment to academic excellence extends beyond his work. He has guided and supervised multiple students' research endeavors, including Ph.D., M.Tech., and B.Tech. projects. His influence and leadership have been recognized through roles such as being a Board of Studies (BoS) Member, NIRF and ARIIA Department Coordinator, and curriculum developer.

Dr. Suresh Dara's journey exemplifies a strong dedication to advancing knowledge, fostering academic growth, and making impactful contributions to the field of Computer Science and Engineering. His blend of research, teaching, and administrative prowess underscores his position as a distinguished figure in the academic community.

Employment

• VIT-AP University Professor
  2023 - Present
• Pace Institute of Technology & Sciences Professor
  2022 - 2023
• B.V.Raju Institute of Technology Professor
  2017 - 2022
• DIT University Associate Professor
  2016 - 2017

Education

• Indian Institute of Technology (Indian School of Mines) Ph.D
  2012 - 2015
• Andhra University M.Tech
  2006 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (22)

• Energy Efficient Quantum-Informed Ant Colony Optimization Algorithms for Industrial Internet of Things
  IEEE Transactions on Artificial Intelligence 2024 DOI: 10.1109/TAI.2022.3220186
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• Applying an Information Retrieval Approach to Retrieve Relevant Articles in the Legal Domain
  Annals of Data Science 2024 DOI: 10.1007/s40745-022-00442-4
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• A fuzzy inference supportive social media market analysis for predicting crowd influence in national elections
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-17181-0
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• Solving multiple sequence alignment problems by using a swarm intelligent optimization based approach
  International Journal of Electrical and Computer Engineering (IJECE) 2023 DOI: 10.11591/ijece.v13i1.pp1097-1104
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• An Advanced Energy Management and Harvesting System for Network Lifetime for Industrial IoT in Smart Cities
  IEEE Internet of Things Journal 2023 DOI: 10.1109/JIOT.2023.3294251
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• Machine Learning in Drug Discovery: A Review
  Artificial Intelligence Review 2022 DOI: 10.1007/s10462-021-10058-4
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• Cancer data classification by quantum-inspired immune clone optimization-based optimal feature selection using gene expression data: deep learning approach
  Data Technologies and Applications 2021 DOI: 10.1108/dta-05-2020-0109
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• Clustering-based hybrid feature selection approach for high dimensional microarray data
  Chemometrics and Intelligent Laboratory Systems 2021 DOI: 10.1016/j.chemolab.2021.104305
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• Efficient algorithms for hotspot problem in wireless sensor networks: Gravitational search algorithm
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-3-319-68385-0_4
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• Evolutionary Computation based Feature Selection: A Survey
  Proceedings of the 2nd International Conference on Electronics, Communication and Aerospace Technology, ICECA 2018 2018 DOI: 10.1109/ICECA.2018.8474568
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