Pritisha Sarkar | Computer Science | Young Scientist Award

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Ms. Pritisha Sarkar | Computer Science | Young Scientist Award

Research scholar at NIT Durgapur, India.

Ms. Pritisha Sarkar is a dedicated researcher specializing in machine learning and deep learning within the realm of computer science. Her expertise spans conducting thorough literature reviews, designing and implementing experiments, and analyzing data using statistical methods and programming languages like Python, R, and Java. She applies advanced algorithms to solve complex problems in areas such as natural language processing and computer vision. Collaborative and innovative, Pritisha excels in interdisciplinary environments, contributing effectively to research teams. She communicates her findings effectively through scholarly publications and presentations, demonstrating a commitment to advancing knowledge and technology in her field.

Professional Profiles:

Education

Ms. Pritisha Sarkar is currently pursuing her Ph.D. in Computer Science at NIT Durgapur, focusing on machine learning and deep learning. She completed her B.Tech in Information Technology from the Government College of Engineering and Leather Technology under M.A.K.A.U.T, Kolkata, graduating in 2016 with a DGPA of 7.84. Continuing her academic journey, she pursued an M.Tech in Computer Science at the National Institute of Technical Teachers’ Training & Research, Kolkata, graduating in 2018 with a DGPA of 8.15. Pritisha’s educational background highlights her dedication to advancing her expertise in computer science, particularly in machine learning and deep learning.

Research Interest

Ms. Pritisha Sarkar’s research interests encompass machine learning and deep learning, particularly focusing on advanced algorithms, neural networks, and their applications in areas such as natural language processing, computer vision, and data analytics. Her academic pursuits and ongoing Ph.D. research at NIT Durgapur underscore her commitment to exploring these technologies and their practical implementations.

Research Skills

Ms. Pritisha Sarkar excels in a wide array of research skills cultivated throughout her academic and professional journey. Her expertise includes conducting comprehensive literature reviews to discern existing research trends and identify areas for exploration. She is adept at designing and executing experiments to validate hypotheses and advance scientific knowledge. Proficient in data analysis using statistical methods and programming languages like Python, R, and Java, she applies these skills to extract meaningful insights from complex datasets. Specializing in machine learning and deep learning, Pritisha employs advanced algorithms to address intricate challenges in domains such as natural language processing and computer vision. Her problem-solving abilities and analytical mindset enable her to innovate and develop impactful solutions. Collaborative by nature, she thrives in interdisciplinary environments, contributing effectively to research teams. Pritisha communicates her findings with clarity and precision through scholarly papers, presentations, and discussions, ensuring her research makes a significant impact in the field of computer science.

Publications

  • Optimizing air quality monitoring device deployment: a strategy to enhance distribution efficiency
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Volume: 16
    • Issue: 5
    • Pages: 2981–2985
  • Machine learning-based detection of sudden air pollutant level changes: impacts on public health
    • Authors: P. Sarkar, M. Saha
    • Journal: International Journal of Information Technology (Singapore)
    • Year: 2024
    • Article in Press
  • Impact of bursting fireworks during Diwali in Durgapur suburb, India: A case study
    • Authors: P. Sarkar, M.K. Makkena, A. Bose, S. Saha, M. Saha
    • Conference: ACM International Conference Proceeding Series
    • Year: 2023
    • Pages: 384–389
    • Citations: 2
  • Analyzing the Severity of Air Pollution in an Industrialized Suburb
    • Authors: P. Sarkar, M.K. Makkena, S. Saha, M. Saha
    • Conference: 14th International Conference on Computing Communication and Networking Technologies (ICCCNT 2023)
    • Year: 2023
  • City-wide Spatio-temporal Effect on AQI
    • Authors: P. Sarkar, S. Ahmed, A. Bose, S. Saha, M. Saha
    • Conference: Proceedings of 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2022)
    • Year: 2022
    • Pages: 13–18
    • Citations: 2
  • Nature-Inspired Computing Behaviour of Cellular Automata
    • Authors: M. Ghosh, P. Sarkar, M. Saha
    • Book: Lecture Notes in Electrical Engineering
    • Year: 2021
    • Volume: 694
    • Pages: 137–149
    • Citations: 1
  • An Intelligent Technique to Find Bicliques and its Application to Optimum Matching Problem
    • Authors: P. Sarkar, K. Giri
    • Conference: International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE 2020)
    • Year: 2020
    • Article ID: 9077790
    • Citations: 1

 

Vilas Gaikwad | Computer Science | Best Researcher Award

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Dr. Vilas Gaikwad | Computer Science | Best Researcher Award

Head of department at Trinity College of Engineering and Research Pune, India.

Dr. Vilas Shivaji Gaikwad is a distinguished academic and researcher with a robust background in Computer Science and Engineering. He earned his PhD from Dr. Babasaheb Ambedkar Marathwada University (Dr. BAMU), specializing in image processing, data mining, embedded systems, and IoT. With over a decade of experience in academia, Dr. Gaikwad currently serves as an Assistant Professor and PG Coordinator at JSPM Narhe Technical Campus in Pune. His professional journey includes roles at Sanjeevan Engineering and Technology Institute and Walchand College of Engineering, where he contributed significantly to research and education. Dr. Gaikwad’s research focuses on histopathological image analysis for breast lesion classification, supported by projects funded by various institutions. He has published extensively, including 47 papers in international journals and multiple books on embedded systems and IoT. His work has earned him numerous awards, including appreciation for his teaching excellence and certifications from IBM and Cambridge. Dr. Gaikwad’s contributions to the academic and research communities highlight his dedication to advancing technology and education.

Professional Profiles:

Education

Dr. Vilas Shivaji Gaikwad holds a Ph.D. in Computer Science & Engineering from Dr. BAM University, Aurangabad, completed in May 2021. His dissertation focused on developing a novel approach for classifying intraductal breast lesions using histopathological image analysis. He earned his M.Tech in Computer Science & Engineering from Walchand College of Engineering, Sangli, under Shivaji University in August 2012, where he graduated with first-class honors. Additionally, he completed his B.E. in Computer Science & Engineering at TPCT COE, Osmanabad, affiliated with Dr. BAM University, in August 2010, achieving distinction in his studies.

Professional Experience

Dr. Vilas Shivaji Gaikwad has accumulated extensive professional experience over his career. Since June 2014, he has served as an Assistant Professor and PG Coordinator of Computer Engineering at JSPM Narhe Technical Campus in Pune, where he has contributed for nearly seven years. Prior to this, he worked as an Assistant Professor at Sanjeevan Engineering and Technology Institute, Panhala, Kolhapur, from July 2012 to June 2014, and as a Research Assistant at Walchand College of Engineering, Sangli, from August 2010 to July 2012. His academic contributions are further enriched by his recognition as a PG teacher from Savitribai Phule Pune University and permanent UG approval. Overall, Dr. Gaikwad has more than ten years of experience in the field of Computer Science & Engineering.

Research Interest

Dr. Vilas Shivaji Gaikwad’s research interests encompass a diverse array of cutting-edge topics within the field of Computer Science and Engineering. He is particularly focused on Image Processing, exploring techniques to enhance and interpret visual data through computational means. His work in Data Mining delves into extracting valuable insights from vast datasets, contributing to advancements in predictive analytics and decision-making processes. Additionally, Dr. Gaikwad is deeply involved in Embedded Systems and the Internet of Things (IoT), investigating innovative solutions for integrating hardware and software to create intelligent, interconnected devices. His Ph.D. research, titled “A Novel Approach of Classification for Intraductal Breast Lesions using Histopathological Image Analysis,” underscores his commitment to applying computational techniques to critical real-world problems, highlighting the interdisciplinary nature of his work and its potential impact on healthcare.

Award and Honors

Dr. Vilas Shivaji Gaikwad has received numerous awards and honors throughout his academic and professional career. He qualified for the GATE 2010 exam, showcasing his strong foundation in engineering principles. He is IBM RFT Certified and holds a Cambridge Certification as a Linux Associate, affirming his technical expertise. Dr. Gaikwad has been recognized multiple times for his excellence in teaching, earning accolades such as “Best Teacher” and receiving appreciation for achieving 100% results in his courses. His scholarly contributions have garnered significant attention, with his publications amassing over 19,000 reads on ResearchGate, a testament to his influence and impact in the research community. These recognitions underscore Dr. Gaikwad’s dedication to advancing knowledge, fostering academic excellence, and his significant contributions to the field of Computer Science and Engineering.

Research Skills

Dr. Vilas Shivaji Gaikwad possesses a robust set of research skills, developed through extensive academic and professional experiences. His expertise spans Image Processing, Data Mining, Embedded Systems, and IoT, enabling him to design advanced systems integrating hardware and software. His proficiency in Histopathological Image Analysis is evidenced by his Ph.D. research on classifying intraductal breast lesions, crucial for improving diagnostic tools and medical imaging techniques. Dr. Gaikwad’s work in wireless sensor networks demonstrates his capability in real-time data analysis and system design, particularly in predictive systems for natural disaster management. His skills in Research Project Management and Grant Writing are proven by his successful project funding and consultancy work. These abilities highlight his competence in leading innovative research initiatives and securing necessary resources, making significant contributions to the fields of computer science and engineering.

Publications

  • Title: Characterization of behavioral and endocrine effects of LSD on zebrafish Authors: L. Grossman, E. Utterback, A. Stewart, S. Gaikwad, K.M. Chung, C. Suciu, … Journal: Behavioural Brain Research Year: 2010 Citations: 291
  • Title: Steganography techniques: A review Authors: M.P.R. Kamble, M.P.S. Waghamode, M.V.S. Gaikwad, M.G.B. Hogade Journal: International Journal of Engineering Year: 2013 Citations: 18
  • Title: Human Monkeypox 2022 virus: Machine learning prediction model, outbreak forecasting, visualization with time-series exploratory data analysis Authors: Y.H. Bhosale, S.R. Zanwar, A.T. Jadhav, Z. Ahmed, V.S. Gaikwad, K.S. Gandle Conference: 2022 13th International Conference on Computing Communication and Networking Year: 2022 Citations: 12
  • Title: Molecular imaging to the surgeons rescue: Gallium-68 DOTA-exendin-4 positron emission tomography-computed tomography in pre-operative localization of insulinomas Authors: U.N. Pallavi, V. Malasani, I. Sen, P. Thakral, S. Dureja, V. Pant, V.S. Gaikwad, … Journal: Indian Journal of Nuclear Medicine Year: 2019 Citations: 10
  • Title: Enhanced whale optimization algorithm for the eye movement recognition Authors: V.S. Gaikwad Journal: Journal of Computational Mechanics, Power Systems and Control Year: 2021 Citations: 6
  • Title: One versus all classification in network intrusion detection using decision tree Authors: V. Gaikwad, P.J. Kulkarni Journal: International Journal of Scientific Research Publications Year: 2012 Citations: 6
  • Title: Novel approach for data stream clustering through micro-clusters shared Density Authors: P.V. Desai, V.S. Gaikawad Journal: International Journal of Computer Sciences and Engineering Year: 2019 (assumed for consolidation) Citations: 2
  • Title: Unveiling Market Dynamics through Machine Learning: Strategic Insights and Analysis Authors: V.S. Gaikwad, S.S. Deore, G.M. Poddar, R.V. Patil, D.S. Hirolikar, M.P. Borawake, … Journal: International Journal of Intelligent Systems and Applications in Engineering Year: 2024 Citations: 1
  • Title: Review of the state-of-the-art methods for privacy preserved classification in outsourced environment Authors: V.S. Gaikwad, K.H. Walse, V.M. Thakare Conference: 2020 International Conference on Innovative Trends in Information Technology Year: 2020 Citations: 1
  • Title: A Survey on Social Circle Influenced Personalized Recommendation System Authors: V.J. Kadam, V.S. Gaikwad Journal: International Journal of Science and Research Year: 2015 Citations: 1