Doctorate Kumar Dorthi: Assistant professor at Kakatiya Institute of Technology and Science, India

Dr. Kumar Dorthi is an Assistant Professor in the Department of Computer Science and Engineering (CSE) at Kakatiya Institute of Technology & Science (KITS) Warangal, Telangana. He has over 12 years of experience in teaching, research, and industry roles. Dr. Dorthi specializes in the Internet of Things (IoT), Machine Learning (ML), and geotechnical engineering, focusing on applications like slope stability monitoring in coal mining. He completed his Ph.D. at the National Institute of Technology Karnataka, Surathkal, where his research centered on using wireless sensor networks for real-time monitoring of underground coal workings. Dr. Dorthi is also an active contributor to the academic community with several publications, patents, and books in the field.

Online Profiles

• ORCID ID: 0000-0002-8476-3659

• Scopus ID: 57201773830

• Web of Science Researcher ID: U-5808-2018

Education

Dr. Dorthi holds a Ph.D. in Wireless Sensor Networks-based Monitoring of Slope Stability from the National Institute of Technology Karnataka, Surathkal (2019), where his work integrated Internet of Things (IoT) and Machine Learning (ML) technologies for mining safety. He earned his B.Tech in Computer Science Engineering from Kakatiya Institute of Technology & Science, Warangal (2009), followed by an M.Tech in Software Engineering from the same institution (2011). Dr. Dorthi graduated with distinction in all his academic qualifications, demonstrating strong foundations in both computer science and engineering principles.

Research Focus

Dr. Dorthi’s research lies at the intersection of IoT, Machine Learning, and geotechnical engineering. His focus is on wireless sensor networks (WSNs) and their application in monitoring slope stability in underground coal mining operations. This includes the development of real-time systems for predicting and preventing hazards in mining environments. He is also exploring the application of ML algorithms for healthcare analytics, plant disease prediction, smart farming, and fake news detection. Additionally, his work in smart water management systems and IoT-enabled agricultural monitoring addresses critical challenges in environmental sustainability.

Experience

Dr. Dorthi has accumulated over 12 years of academic, research, and industrial experience. He currently serves as an Assistant Professor at KITS Warangal, where he has been teaching since 2019. Prior to this, he held roles as an Associate Professor at KL University, Vijayawada (2018-2019) and as an Assistant Professor at Apex Engineering College, Warangal (2011-2014). He has also worked as a Ph.D. scholar at NITK, Surathkal from 2014 to 2018, where he undertook cutting-edge research in IoT applications for geotechnical engineering. Throughout his career, Dr. Dorthi has mentored several M.Tech and Ph.D. students, particularly in the fields of IoT and machine learning, and has contributed to the development of IoT laboratories at KITS Warangal.

Research Timeline

• 2014-2018: Pursued Ph.D. at NITK, Surathkal, focused on Wireless Sensor Networks for slope stability monitoring in mining operations.

• 2011-2014: Worked as an Assistant Professor at Apex Engineering College, Warangal, and concurrently developed research expertise in machine learning and IoT.

• 2019-Present: Serving as an Assistant Professor at KITS Warangal, where he has been involved in developing new research in agriculture IoT, healthcare analytics, and geotechnical engineering.

• 2020-2023: Led research into the smart farming and IoT-based water management systems, contributing to national and international conferences.

Awards & Honors

Dr. Dorthi has been recognized for his significant contributions to research and education in the fields of IoT and Machine Learning. In September 2021, he was awarded the Research Excellence Award by the Institute of Scholars, acknowledging his pioneering work in real-time monitoring and smart system development. In addition to this, he has been a recipient of multiple academic scholarships and has received recognition for his outstanding research publications.

Top-Noted Publications

1. Soora Narasimha Reddy, Vinay Kumar K, Kumar Dorthi, Swathy V, Santosh Kumar, “A Comprehensive Literature Review of Vehicle License Plate Detection Methods,” Traitment Du Signal, Vol. 41, No. 3, pp. 1129-1141, June 2024 (SCIE)

2. Sai Rama Krishna Indarapu, Swathy Vodithala, Naveen Kumar, Siripuri Kiran, Soora Narasimha Reddy, Kumar Dorthi, “Exploring Human Resource Management Intelligence Practices Using Machine Learning Models,” Journal of High Technology Management Research, 2023, 34(2), 100466 (Scopus)

3. Kumar Dorthi, Neelima Bayyapu, Ram Chandar K, “Zigbee-based Wireless Data Acquisition System for Monitoring of Partition Stability Above Old Underground Coal Workings,” Arabian Journal of Geosciences, 13(307), 2020 (SCIE)

4. Kumar Dorthi, Ram Chandar Karra, “Integrated Slope Monitoring System for Slope Stability Over Old Underground Galleries During Surface Mining Operations Using IoT,” Geotechnical and Geological Engineering, 41(3), pp. 1763-1775, 2023 (Scopus & ESCI)

5. Kumar Dorthi, Ram Chandar K, “Slope Stability Monitoring in Opencast Coal Mine Based on Wireless Data Acquisition System – A Case Study,” International Journal of Engineering and Technology (UAE), 7(2), pp. 24-28, 2017 (Scopus).

These publications represent some of Dr. Dorthi’s top research efforts that have contributed to advancements in mining safety, IoT-enabled monitoring systems, and machine learning applications in geotechnical engineering.

Dr. Kumar Dorthi in support of the Innovative Researcher Award:

1. Cutting-Edge Application of IoT in Geotechnical Engineering

Dr. Dorthi has introduced pioneering solutions in the field of Geotechnical Engineering by integrating Internet of Things (IoT) technologies for real-time slope stability monitoring in underground coal mines. This innovative use of wireless sensor networks (WSNs) has not only enhanced the safety of mining operations but also provided a sustainable, data-driven approach to prevent disasters, making it a model for future engineering applications.

2. Interdisciplinary Research Impact

Dr. Dorthi’s research stands out for its ability to blend multiple domains, such as Machine Learning (ML), Internet of Things (IoT), healthcare, and agriculture. His interdisciplinary research on applications like plant disease prediction using deep learning, cardiovascular disease detection, and smart farming solutions illustrates his ability to leverage cutting-edge technologies to address a wide variety of global challenges.

3. Innovative Patented Technologies

Dr. Dorthi has consistently demonstrated his innovative mindset through the development of several patented technologies. Notable patents include a breath analyzer for cancer detection, smart waste food management system, and AI-based cargo monitoring system. These patents reflect his ability to bridge theoretical research with real-world applications, solving pressing issues such as healthcare diagnostics, environmental sustainability, and industrial safety.

4. Global Leadership and Collaborative Research

Beyond his research, Dr. Dorthi has shown exceptional leadership in academic settings. He has organized and chaired international conferences and seminars, contributing to the global discourse on IoT and machine learning. His work as a mentor to Ph.D. scholars and his involvement in workshops and faculty development programs have cultivated a new generation of researchers, helping to spread his innovative research across the global academic community.

5. Societal Impact through Technology Integration

Dr. Dorthi’s research is not only theoretical but also highly practical with direct applications in mining safety, healthcare, and agriculture. His use of machine learning and IoT to improve agricultural practices, mining operations, and healthcare diagnostics has had a profound impact on these sectors. His work has led to tangible improvements in safety standards, predictive accuracy, and environmental sustainability, thus contributing to the betterment of society as a whole.