Gautam Garai | Optimization Algorithms | Best Researcher Award

Prof. Dr. Gautam Garai | Optimization Algorithms | Best Researcher Award

Saha Institute of Nuclear Physics, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Dr. Gautam Garai embarked on his academic journey with a strong foundation in computer science. He completed his Ph.D. in Computer Science & Engineering from Jadavpur University in 2008. Prior to that, he earned an M.E. in Computer Science & Engineering (1991) from the same institution and B.E. in Computer Science & Technology (1987) from the prestigious Bengal Engineering College, under Calcutta University. His exceptional academic record is marked by top-class ranks and national scholarships during his schooling years.

🏢 PROFESSIONAL ENDEAVORS

Dr. Garai has served at the Saha Institute of Nuclear Physics (SINP), Kolkata, for over three decades, steadily rising through the ranks from Scientist ‘B’ in 1988 to Scientist ‘G’ since 2009. Prior to joining SINP, he began his career as an Assistant Systems Engineer at M.N. Dastur & Co. in 1987. Throughout his tenure, he held numerous administrative and technical leadership roles including:

  • Head of Computer Section

  • Project Leader of in-house software development

  • Liaison Officer for SC/ST and PWD affairs

  • Member of multiple key institutional committees

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN OPTIMIZATION ALGORITHMS

Dr. Garai’s primary research interests lie in optimization algorithms, evolutionary computation, pattern recognition, and bioinformatics. He is well-known for his application of genetic algorithms in diverse fields including:

  • Data Clustering

  • Function Optimization

  • Shape Recognition

  • Scientific Problem Solving

His contributions have been translated into impactful book chapters, such as his 2022 publication with IntechOpen, and the VDM Verlag monograph on cascaded genetic algorithms.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

  • Over 100+ citations on Google Scholar for his research work in applied computing and optimization.

  • Awarded the STATE AWARD for PWD – Role Model by Govt. of West Bengal (2010).

  • Honored with a Certificate of Special Mention at EAIT 2006, and recipient of National Scholarships in 1981 and 1983.

  • Distinctions in Indian Classical Music from Sangeet Bhushan, showcasing his multidisciplinary talents.

🌍 IMPACT AND INFLUENCE

A Senior Member of IEEE and active participant in the Computer Society of India, IAPR, and other organizations, Dr. Garai has built a strong international presence. He has:

  • Reviewed papers for over 15 reputed journals including IEEE Transactions, Pattern Recognition, and Information Sciences.

  • Served on program committees of international conferences in the USA, Singapore, and India.

  • Chaired IEEE TENCON 2009 and various global sessions.

  • Delivered invited talks on optimization and computational techniques in India and abroad.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Garai’s legacy lies in his long-standing service at SINP, driving digital transformation through E-Governance modules such as:

  • Leave Management

  • Pension & Salary Processing

  • Online Medical Bill Systems

  • E-Attendance & No Dues Certificate Generation

These systems significantly enhanced operational transparency and efficiency.

As a research mentor, academic reviewer, and software innovator, his future contributions are poised to further the fields of bioinformatics, AI-driven optimization, and institutional automation.

 ✅CONCLUSION

Dr. Gautam Garai exemplifies academic brilliance, leadership, and technical ingenuity. Through his innovative application of optimization algorithms, decades of dedicated scientific service, and impactful digital initiatives, he continues to inspire excellence within India’s scientific and academic ecosystem.

🔬NOTABLE PUBLICATION:

Title: A Novel Differential Evolution Algorithm for Tone Reservation based PAPR Reduction Technique in OFDM Systems

Authors: Mahua Rakshit, Gautam Garai

Journal: Swarm and Evolutionary Computation (Elsevier)

Year: 2022

V Sidda Reddy | Computer Science | Best Researcher Award

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 experience20 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