Priyanka Dhaka | Computer Science | Best Researcher Award

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Dr. Priyanka Dhaka | Computer Science | Best Researcher Award

Maharaja Surajmal Institute | India

Dr. Priyanka Dhaka is an accomplished academician and researcher in Computer Science and Engineering, currently serving as an Assistant Professor at Maharaja Surajmal Institute. With strong expertise in software development, data analytics, machine learning, and big data technologies, she has made significant contributions to healthcare, cybercrime investigation, and IoT-based predictive modeling. Her work encompasses both theoretical and applied research, resulting in publications in reputed journals and conferences. She is also a patent holder and has been actively involved in innovative projects. Dr. Dhaka is dedicated to advancing technology through impactful teaching, research, and development in emerging computing fields.

Professional Profile

Google Scholar

Education

Dr. Priyanka Dhaka holds a Ph.D. in Computer Science and Engineering, supported by prior academic qualifications in M.Tech in Information Technology and B.Tech in Computer Science and Engineering. Her education has provided a solid foundation in programming, data analysis, software development, and machine learning. She has also undertaken specialized certifications in advanced technologies, including MATLAB for machine learning. Her academic journey reflects a consistent focus on emerging computing domains, enabling her to develop advanced problem-solving capabilities. The blend of her technical education and research-oriented mindset equips her to contribute effectively to both academia and the software industry.

Professional Experience

Dr. Priyanka Dhaka has served as an Assistant Professor at reputed academic institutions, including Maharaja Surajmal Institute and Maharaja Surajmal Institute of Technology, where she has contributed to teaching, research, and curriculum development. Her professional journey includes delivering guest lectures, coordinating academic events, and mentoring students in technical projects. She has also been involved in industry-oriented training, applying her expertise in programming, big data analytics, and software engineering. In addition to academia, she has practical experience in developing software solutions, handling data-driven projects, and collaborating with multidisciplinary teams to address real-world technological challenges.

Awards and Recognition

Dr. Priyanka Dhaka has been recognized for her academic and research contributions through publications in reputed international journals and IEEE-sponsored conferences. She holds a granted patent for an innovative Braille display device, highlighting her commitment to impactful technological solutions. She has participated in and coordinated various academic and technical events, earning recognition for her contributions. Additionally, she has been a runner-up in a software development competition and invited to deliver expert lectures on big data analytics. Her involvement in workshops on advanced computing fields further reflects her continuous pursuit of professional excellence and contribution to the academic community.

Research Skills

Dr. Priyanka Dhaka possesses extensive research expertise in machine learning, deep learning, big data analytics, and IoT-based healthcare applications. Her work has addressed critical areas such as heart disease prediction, healthcare data management, and cybercrime investigation through innovative computational models. She is proficient in data handling using tools like Hadoop, MongoDB, and advanced programming languages. Her research outcomes include multiple high-quality publications, book chapters, and collaborative projects with interdisciplinary teams. She applies analytical and experimental approaches to develop intelligent systems, integrating domain knowledge with modern computational techniques to solve real-world problems effectively and efficiently.

Notable Publications

Big data application: Study and archival of mental health data, using MongoDB
Author: P Dhaka, R Johari
Journal: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)
Year: 2016
Citations: 24

WoM-based deep BiLSTM: smart disease prediction model using WoM-based deep BiLSTM classifier
Author: P Dhaka, B Nagpal
Journal: Multimedia Tools and Applications 82 (16), 25061-25082
Year: 2023
Citations: 23

CRIB: Cyber crime investigation, data archival and analysis using big data tool
Author: P Dhaka, R Johari
Journal: 2016 International Conference on Computing, Communication and Automation (ICCCA)
Year: 2016
Citations: 14

HCAB: HealthCare analysis and data archival using big data tool
Author: P Dhaka, R Johari
Journal: 2016 1st India International Conference on Information Processing (IICIP), 1-6
Year: 2016
Citations: 8

An Innovative Approach to Cardiovascular Disease Prediction: A Hybrid Deep Learning Model
Author: P Dhaka, R Sehrawat, P Bhutani
Journal: Engineering, Technology & Applied Science Research 13 (6), 12396-12403
Year: 2023
Citations: 6

Adaptive Ensembled Fusion Based Deep CNN-Bilstm Model For Heart Disease Prediction In IoT
Author: P Dhaka, R Sehrawat
Journal: Fusion: Practice & Applications 14 (1)
Year: 2024
Citations: 2

Conclusion

Dr. Priyanka Dhaka stands out as a dedicated educator, skilled researcher, and technology innovator. Her academic qualifications, teaching experience, and research contributions reflect a deep commitment to advancing computer science and engineering. She bridges the gap between theory and practice through her involvement in cutting-edge projects, impactful publications, and industry-relevant training. With expertise spanning programming, big data, AI, and IoT, she continues to inspire students and contribute to technological innovation. Her career demonstrates a strong balance between academic excellence and practical application, positioning her as a valuable contributor to the advancement of modern computing solutions.

Chaitanya Kulkarni | Computer Science | Outstanding Educator Award

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Dr. Chaitanya Kulkarni | Computer Science | Outstanding Educator Award

Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati | India

Dr. Chaitanya Shrikant Kulkarni is a distinguished academician and Head of the Department of Artificial Intelligence and Data Science at Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering & Technology, Baramati. With extensive experience in undergraduate and postgraduate teaching, he has contributed significantly to curriculum development, research, and innovation in AI, machine learning, and data-driven technologies. His research portfolio spans AI-powered mental health monitoring, predictive maintenance, and financial forecasting. He has authored research papers in reputed indexed journals, published books, and filed multiple patents. His role as an editor and reviewer reflects his active engagement in the academic and research community.

Professional Profile

Scopus

Education

Dr. Chaitanya Kulkarni earned his Bachelor’s degree in Computer Engineering from Shivaji University and a Master of Technology in Computer Engineering from Bharati Vidyapeeth, Pune. He later completed his doctoral studies in Computer Engineering, focusing on advancements in artificial intelligence and machine learning applications. His academic journey has been enriched through participation in various short-term training programs, quality improvement programs, and faculty development initiatives sponsored by recognized educational and professional bodies. These academic achievements have built a strong foundation for his teaching, research, and leadership in emerging technologies, allowing him to mentor students and guide research projects effectively across diverse domains.

Professional Experience

Dr. Chaitanya Kulkarni has a rich career in academia, beginning as a lecturer and advancing to senior faculty and departmental leadership roles. He has served in reputed engineering institutions, contributing to teaching at both undergraduate and postgraduate levels. His responsibilities have included curriculum design, thesis review, and mentoring research initiatives. As a Principal Investigator, he has successfully executed projects in sonar sediment classification and automated silkworm egg counting using image processing. His consultancy work with industry stakeholders has provided practical applications for academic research. Additionally, he has been actively involved in organizing academic programs and fostering interdisciplinary collaboration.

Awards and Recognition

Dr. Chaitanya Kulkarni has received recognition for his scholarly contributions, academic leadership, and innovative research. His work has been published in prominent indexed journals, and he has authored a book with an ISBN registration. He has published and filed several patents, reflecting his focus on translating research into practical solutions. His appointment as an editor for a multidisciplinary research journal and as a reviewer for prestigious international publications, including IEEE Access, highlights his expertise and professional standing. He is also a member of professional bodies, which enables him to stay connected with the broader research and technology community.

Research Skills

Dr. Chaitanya Kulkarni possesses strong research skills in artificial intelligence, machine learning, and data science, with applications in healthcare, industrial maintenance, and financial analytics. His expertise includes developing predictive models, designing intelligent systems, and applying image processing techniques for problem-solving. He has led projects that bridge the gap between theoretical research and industry requirements, ensuring practical applicability of solutions. His publications in Scopus-indexed journals and his patents demonstrate his ability to contribute original and impactful work. He is also adept at supervising postgraduate research, reviewing scholarly articles, and maintaining high standards of academic integrity in his research endeavors.

Notable Publication

Enhanced ubiquitous system architecture for securing healthcare IoT using efficient authentication and encryption
Journal: International Journal of Data Science and Analytics
Year: 2025
Citations: 2

Conclusion

Dr. Chaitanya Kulkarni’s career reflects a blend of academic excellence, research innovation, and leadership in emerging technologies. His commitment to integrating advanced AI and machine learning techniques into practical solutions has led to meaningful contributions in diverse sectors. With his extensive teaching experience, strong research background, and industry collaborations, he continues to mentor the next generation of engineers and researchers. His published works, patents, and editorial roles demonstrate his dedication to knowledge dissemination and scholarly engagement. Dr. Kulkarni remains focused on advancing technological research, fostering academic growth, and contributing to the evolving landscape of artificial intelligence and data science.

V Sidda Reddy | Computer Science | Best Researcher Award

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Dr. V Sidda Reddy | Computer Science | Best Researcher Award

Stanley College of Engineering and Technology for Women, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. V. Sidda Reddy laid a strong educational foundation with a B.E. in Computer Science & Engineering from Bangalore University in 1995. Further deepening his expertise, he completed an M.Tech in Information Technology (2003) with distinction from Jawaharlal Nehru Technological University Hyderabad (JNTUH). Driven by a desire for innovation in data science, he pursued a Ph.D. in Computer Science & Engineering at JNTUH, which he was awarded in 2020 for his research titled “New Approaches for Mining Data Streams.”

🏢 PROFESSIONAL ENDEAVORS

With over 25 years of experience—20 in academics and 5.5 years in the software industry—Dr. Reddy has held pivotal roles such as Professor, HOD, and Associate Professor at reputed institutions including:

  • Teegala Krishna Reddy Engineering College

  • CVR College of Engineering, Hyderabad

  • Sai Tirumala Engineering College, Narasaraopet

  • GMR Institute of Technology, Srikakulam

His industry experience includes serving as a Software Engineer at Reliance Systems Pvt. Ltd, Bangalore (1996–2001), contributing to software design and development.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Dr. Reddy’s core research interests include:

  • Data Stream Mining

  • Frequent Itemset Mining

  • Machine Learning

  • Deep Learning

  • Human Action Recognition

His Ph.D. and publications emphasize innovative frameworks for closed frequent itemset mining, context-aware windowing, and real-time data analysis. He has contributed to algorithms, tree-based classification models, and CNN-based recognition systems, paving the way for real-world applications such as driver drowsiness detection and ATM security systems.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Dr. Reddy’s contributions are recognized through:

  • Multiple Scopus and Web of Science indexed journal publications

  • Over 12+ peer-reviewed research papers

  • Best Teacher Award (2010) from Lions Club International

  • Prestigious certifications from Coursera, Brainbench, Microsoft, and DataCamp

He is frequently cited for his work on stream mining algorithms and hybrid models in machine learning.

🌍 IMPACT AND INFLUENCE

Dr. Reddy has mentored numerous students, organized technical paper presentations, faculty development programs, and industry-collaborated workshops on AI, cloud computing, Python, and mobile application development. His efforts extended to social impact by organizing blood donation camps in collaboration with Red Cross India and Lions Club.

He actively contributes to academic societies such as Computer Society of India (CSI) and is a member of the International Association of Engineers (IAENG).

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Reddy’s legacy lies in fostering an ecosystem of applied learning, cutting-edge research, and social responsibility. He continues to inspire the next generation through mentorship, active participation in technical societies, and curriculum development in AI and data mining. Future goals include:

  • Developing AI-driven educational platforms

  • Expanding data stream mining research

  • Collaborating on international research projects

 ✅CONCLUSION

Dr. V. Sidda Reddy stands out as a dedicated educator, innovator, and researcher. His journey reflects a commitment to excellence, technological progress, and societal betterment. With a balanced blend of academic rigor, industrial experience, and social service, he continues to enrich the field of Computer Science & Engineering with meaningful contributions and transformative leadership.

🔬NOTABLE PUBLICATION:

Data Mining Techniques for Data Streams Mining
Authors: V.S. Reddy, T.V. Rao, A. Govardhan
Journal: Review of Computer Engineering Studies, Vol. 4(1), pp. 31–35
Year: 2017

Mining Frequent Itemsets (MFI) Over Data Streams: Variable Window Size (VWS) By Context Variation Analysis (CVA) Of The Streaming Transactions
Authors: V.S. Reddy, D.T.V. Rao, D.A. Govardhan
Journal: arXiv preprint arXiv:1408.3175
Year: 2014

Smart Door Lock to Avoid Robberies in ATM
Authors: V.S. Reddy, S. Kalli, H. Gebregziabher, B.R. Babu
Journal: Journal of Physics: Conference Series, Vol. 1964(4), 042032
Year: 2021

CASW: Context Aware Sliding Window for Frequent Itemset Mining Over Data Streams
Authors: V.S. Reddy, T.V. Rao, A. Govardhan
Journal: International Journal of Computational Intelligence Research, Vol. 13(2), pp. 183–196
Year: 2017

Knowledge Discovery from Static Datasets to Evolving Data Streams and Challenges
Authors: V.S. Reddy, M. Narendra, K. Helini
Journal: International Journal of Computer Applications, Vol. 87(15)
Year: 2014

A Triple Band Square Shape Multi-slot Defective Ground Structure Patch Antenna for C-, X-, and Ku-band Applications
Authors: S. Kalli, S. Aouthu, Y. Srinivas, V.S. Reddy, R. Palla, M. Valathuru, N. Prasad
Journal: Sumy State University
Year: 2025